Demetris Koutsoyiannis

Professor, Civil Engineer, Dr. Engineer
D.Koutsoyiannis@itia.ntua.gr
+30-2107722831
http://www.itia.ntua.gr/dk/

Participation in research projects

Participation as Project Director

  1. Upgrade of the hydraulics laboratory for the modeling of water supply networks & design and operation optimization study
  2. Combined REnewable Systems for Sustainable ENergy DevelOpment (CRESSENDO)
  3. DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools
  4. Integrated study for the investigation of the quantity, quality and recovery of the underwater springs of the Stoupa region in Municipality of Lefktros, Messinia
  5. Flood risk estimation and forecast using hydrological models and probabilistic methods
  6. Nonlinear methods in multicriteria water resource optimization problems
  7. Support on the compilation of the national programme for water resources management and preservation
  8. Investigation of management scenarios for the Smokovo reservoir
  9. Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS)
  10. Testing of the new measuring system of the aqueduct of Mornos
  11. Modernisation of the supervision and management of the water resource system of Athens
  12. Completion of the classification of quantitative and qualitative parameters of water resources in water districts of Greece
  13. Appraisal of river sediment deposits in reservoirs of hydropower dams
  14. Evaluation of Management of the Water Resources of Sterea Hellas - Phase 3
  15. Systematisation of the raw data archive of surface and subsurface waters of the Ministry of Agriculture in Thessalia
  16. Upgrading and updating of hydrological information of Thessalia
  17. Classification of quantitative and qualitative parameters of the water resources of Greece using geographical information systems
  18. Hydroscope II - Creation of a National Databank for Hydrological and Meteorological Information
  19. Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information

Participation as Principal Investigator

  1. Maintenance, upgrading and extension of the Decision Support System for the management of the Athens water resource system
  2. Building the Future of Transnational Cooperation in Water Resources in South East Europe (EDUCATE!)
  3. Investigation of scenarios for the management and protection of the quality of the Plastiras Lake
  4. National databank for hydrological and meteorological information - Hydroscope 2000
  5. Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2
  6. AFORISM: A comprehensive forecasting system for flood risk mitigation and control
  7. Development of a relational data base for management and processing of hydrometric information
  8. Evaluation of Management of the Water Resources of Sterea Hellas - Phase 1
  9. A pilot study for the management of the Louros and Arachthos watersheds
  10. Appraisal of existing potential for improving the water supply of greater Athens - Phase 2
  11. Appraisal of existing potential for improving the water supply of greater Athens - Phase 1
  12. Hydrological investigation of the Thessalia water basin

Participation as Researcher

  1. Development of Database and software applications in a web platform for the "National Databank for Hydrological and Meteorological Information"
  2. Observations, Analysis and Modeling of Lightning Activity in Thunderstorms, for Use in Short Term Forecasting of Flash Floods
  3. Development of a Geographical Information System and an Internet application for the supervision of Kephisos protected areas
  4. EU COST Action C22: Urban Flood Management
  5. Investigation and remedy of the stability problems of the banks and bed of the Philothei Creek using mathematical models and modern environmental methods
  6. Study and research network with applications in Greece and Cyprus
  7. Generation of spatially consistent rainfall data - Refinement and testing of simplified models
  8. Assessment of sediment generation in Thriasio
  9. Development of legislation framework for the drinking water of Athens
  10. Generation of spatially consistent rainfall data
  11. Integrated management of the riparian ecosystem of the Sperhios river
  12. A pilot study for the water resources management of the Epirus water district
  13. Study of the measuring system of the aqueduct network of Athens - Phase 1
  14. Investigation of use of stormwater for irrigation - Application to the area of Archanes municipality
  15. Environmental impacts of the irrigation project in the lake Mikri Prespa, Florina, Phase A
  16. Estimation and integrated management of the water resources and environment of the Aliakmon watershed
  17. Water quality and assimilative capacity investigations of Kalamas river and lake Pamvotis (Ioannina)

Participation in engineering studies

  1. Investigation of the hydrographic network development in Mavro Vouno, Grammatiko, Attica, Greece
  2. Study of the management of Kephisos
  3. Delineation of the Arachthos River bed in the town of Arta
  4. Specific Technical Study for the Ecological Flow from the Dam of Stratos
  5. Development of tools for the water resource management of the hydrological district of Aegean islands
  6. Water resource management of the Integrated Tourist Development Area in Messenia
  7. Technical consulting for the floods of Lower Acheloos and Edesseos
  8. Expertise for the quality control of engineering studies for the project "Water supply of Patra from Peiros and Parapeiros rivers"
  9. Characterization of the size of Zaravina lake in Delvinaki area of the prefecture of Ioannina
  10. Diversion of the Soulou Stream for the Development of Lignite Exploitations of the Public Power Corporation in the Mine of Southern Field of Region Kozani-Ptolemais
  11. Analysis of the effects of the water transfer through the tunnel Fatnicko Polje - Bileca reservoir on the hydrologic regime of Bregava River in Bosnia and Herzegovina
  12. Study of sewerage and wastewater treatment of the Municipality of Ellomeno in Leukas
  13. Hydraulic study for drainage of the Kanavari-Dombrena-Prodromos road
  14. Hydrological and hydraulic study for the flood protection of the new railway in the region of Sperhios river
  15. Study of the enhancement of water flow in Lethaeos and Ayiaminiotis rivers
  16. Engineering consultant for the project "Water supply of Heracleio and Agios Nicolaos from the Aposelemis dam"
  17. Flood Protection Works of Diakoniaris Stream, Preliminary Study
  18. Study of the Segment Antirrio-Kefalovriso of the Western Road Axis
  19. Preliminary Water Supply Study of the Thermoelectric Livadia Power Plant
  20. Consultative service for the spring "Kephalovriso" in Kaloskope
  21. Engineering study for the licence of positioning of the Valorema Small Hydroelectric Project
  22. Study of the Potamos River, Corfu
  23. Complementary study of environmental impacts from the diversion of Acheloos to Thessaly
  24. Management study of the river Boeoticos Kephisos and the lakes Hylike and Paralimne
  25. Compilation of specifications and requirements for the elaboration of environmental impact studies for various works
  26. Estimation of losses from DXX canal in the irrigation network of Lower Acheloos
  27. Concerted actions for the sector of environment in Santorine and Therasia islands
  28. Engineering report of the Korinthos sewer system, Study of the Xerias creek, Introductory part
  29. Study of the water supply of the wider Rhodes from Gadouras dam: Aqueduct and water treatment plant
  30. Engineering study of the hydraulic project of old and new river bed of Peneios in Larisa
  31. Water resources management of the Evinos river basin and hydrogeological study of the Evinos karstic system
  32. General outline of the Acheloos River diversion project
  33. Assessment of the influence of forest fire of 1995 in the increase of sediment yield of the Megalo Rema in Raphena
  34. Integrated study of the environmental impacts from Acheloos diversion
  35. Study of environmental impacts from the small hydroelectric work in Metsovitikos river
  36. Arachthos River, Aghios Nicolaos hydroelectric project, Engineering Report
  37. Engineering study for improving the water supply of Athens with the construction of a dam at the Evinos River
  38. Master plan of the land reclamation works of the Arta plain
  39. Engineering study of the regulation of the Kallithea Stream in Mytilene
  40. Study of the Faneromeni dam in Mesara, Crete - Engineering report
  41. Study of the Plakiotissa dam in Mesara, Crete - Engineering report
  42. Study of the wastewater treatment plant of Aghios Nicolaos, Crete
  43. Engineering study of the flood protection works in the Boeoticos Kephisos river basin
  44. Engineering study of the flood protection and drainage works and the dam in the Artzan-Amatovo region
  45. Arachthos River, Steno - Kalaritikos hydroelectric project, Engineering Report
  46. Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Engineering report
  47. Preliminary study of the water supply of Karystos and Kallianos municipalities from the Demosari springs
  48. Master plan of Dereio dam
  49. Preliminary study of the reconstruction of the state-run saltern of Mesi, Komotene
  50. Engineering study of sewer system and the wastewater treatment plant of Farsala
  51. Arachthos River, Middle Course hydroelectric projects, Master Plan
  52. Study for the restoration, fixing, protection and prominence of the archaeological monument of Knossos
  53. Study of the sewer system of Neapolis, Lasithi, Engineering report
  54. Alternative studies for the irrigation of the Lasithi plateau
  55. Master plan of the foul sewer system of Kanallaki, Preveza
  56. Preliminary study of the sewer system of Kanallaki, Preveza
  57. Arachthos River, Middle Course hydroelectric projects, Alternative studies
  58. Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Preliminary study
  59. Study of the sewer system of Neapolis, Lasithi, Master plan
  60. Study of the sewer system of Neapolis, Lasithi, Alternative studies
  61. Engineering study of restoration of the water supply of Karpenesi
  62. Engineering study of the sewer system of the Karpenesi municipality
  63. Engineering study of the sewer system of the Karpenesi municipality

Published work

Publications in scientific journals

  1. F. Lombardo, E. Volpi, D. Koutsoyiannis, and F. Serinaldi , A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall, Water Resources Research, doi:10.1002/2017WR020529, 2017.
  2. A. Tegos, H. Tyralis, D. Koutsoyiannis, and K. H. Hamed, An R function for the estimation of trend signifcance under the scaling hypothesis- application in PET parametric annual time series, Open Water Journal, 4 (1), 66–71, 6, 2017.
  3. H. Tyralis, A. Tegos, A. Delichatsiou, N. Mamassis, and D. Koutsoyiannis, A perpetually interrupted interbasin water transfer as a modern Greek drama: Assessing the Acheloos to Pinios interbasin water transfer in the context of integrated water resources management, Open Water Journal, 4 (1), 113–128, 12, 2017.
  4. Y. Markonis, S. C. Batelis, Y. Dimakos, E. C. Moschou, and D. Koutsoyiannis, Temporal and spatial variability of rainfall over Greece, Theoretical and Applied Climatology, doi:10.1007/s00704-016-1878-7, 2016.
  5. P. Kossieris, C. Makropoulos, C. Onof, and D. Koutsoyiannis, A rainfall disaggregation scheme for sub-hourly time scales: Coupling a Bartlett-Lewis based model with adjusting procedures, Journal of Hydrology, doi:10.1016/j.jhydrol.2016.07.015, 2016.
  6. Y. Markonis, A. N. Angelakis, J. Christy, and D. Koutsoyiannis, Climatic variability and the evolution of water technologies in Crete, Hellas, Water History, 8 (2), 137–157, doi:10.1007/s12685-016-0159-9, 2016.
  7. S.M. Papalexiou, and D. Koutsoyiannis, A global survey on the seasonal variation of the marginal distribution of daily precipitation, Advances in Water Resources, 94, 131–145, doi:10.1016/j.advwatres.2016.05.005, 2016.
  8. T. Iliopoulou, S.M. Papalexiou, Y. Markonis, and D. Koutsoyiannis, Revisiting long-range dependence in annual precipitation, Journal of Hydrology, doi:10.1016/j.jhydrol.2016.04.015, 2016.
  9. D. Koutsoyiannis, G. Blöschl, A. Bardossy, C. Cudennec, D. Hughes, A. Montanari, I. Neuweiler, and H. H. G. Savenije, Joint Editorial: Fostering innovation and improving impact assessment for journal publications in hydrology, Hydrological Sciences Journal, 61 (7), 1170–1173, doi:10.1080/02626667.2016.1162953, 2016.
  10. D. Koutsoyiannis, M. Acreman, A. Castellarin, H. H. G. Savenije, C. Cudennec, G. Blöschl, G. Young, A. Montanari, and F. Watkins, Should auld acquaintance be forgot? Comment on “Farewell, HSJ!—address from the retiring editor” by Z.W. Kundzewicz, Hydrological Sciences Journal, doi:10.1080/02626667.2016.1150032, 2016.
  11. P. Dimitriadis, A. Tegos, A. Oikonomou, V. Pagana, A. Koukouvinos, N. Mamassis, D. Koutsoyiannis, and A. Efstratiadis, Comparative evaluation of 1D and quasi-2D hydraulic models based on benchmark and real-world applications for uncertainty assessment in flood mapping, Journal of Hydrology, 534, 478–492, doi:10.1016/j.jhydrol.2016.01.020, 2016.
  12. P.E. O’Connell, D. Koutsoyiannis, H. F. Lins, Y. Markonis, A. Montanari, and T.A. Cohn, The scientific legacy of Harold Edwin Hurst (1880 – 1978), Hydrological Sciences Journal, 61 (9), 1571–1590, doi:10.1080/02626667.2015.1125998, 2016.
  13. P. Dimitriadis, D. Koutsoyiannis, and P. Papanicolaou, Stochastic similarities between the microscale of turbulence and hydrometeorological processes, Hydrological Sciences Journal, 61 (9), 1623–1640, doi:10.1080/02626667.2015.1085988, 2016.
  14. N. Malamos, and D. Koutsoyiannis, Bilinear surface smoothing for spatial interpolation with optional incorporation of an explanatory variable. Part 2: Application to synthesized and rainfall data, Hydrological Sciences Journal, 61 (3), 527–540, doi:10.1080/02626667.2015.1080826, 2016.
  15. N. Malamos, and D. Koutsoyiannis, Bilinear surface smoothing for spatial interpolation with optional incorporation of an explanatory variable. Part 1:Theory, Hydrological Sciences Journal, 61 (3), 519–526, doi:10.1080/02626667.2015.1051980, 2016.
  16. P. Dimitriadis, D. Koutsoyiannis, and K. Tzouka, Predictability in dice motion: how does it differ from hydrometeorological processes?, Hydrological Sciences Journal, 61 (9), 1611–1622, doi:10.1080/02626667.2015.1034128, 2016.
  17. D. Koutsoyiannis, Generic and parsimonious stochastic modelling for hydrology and beyond, Hydrological Sciences Journal, 61 (2), 225–244, doi:10.1080/02626667.2015.1016950, 2016.
  18. Y. Markonis, and D. Koutsoyiannis, Scale-dependence of persistence in precipitation records, Nature Climate Change, doi:10.1038/NCLIMATE2894, 2015.
  19. E. Volpi, A. Fiori, S. Grimaldi, F. Lombardo, and D. Koutsoyiannis, One hundred years of return period: Strengths and limitations, Water Resources Research, doi:10.1002/2015WR017820, 2015.
  20. P. Dimitriadis, and D. Koutsoyiannis, Application of stochastic methods to double cyclostationary processes for hourly wind speed simulation, Energy Procedia, 76, 406–411, doi:10.1016/j.egypro.2015.07.851, 2015.
  21. A. Tegos, A. Efstratiadis, N. Malamos, N. Mamassis, and D. Koutsoyiannis, Evaluation of a parametric approach for estimating potential evapotranspiration across different climates, Agriculture and Agricultural Science Procedia, 4, 2–9, doi:10.1016/j.aaspro.2015.03.002, 2015.
  22. K. Kollyropoulos, G. Antoniou, I. Kalavrouziotis, J. Krasilnikoff, D. Koutsoyiannis, and A. N. Angelakis, Hydraulic characteristics of the drainage systems of ancient Hellenic theatres: Case study of the theatre of Dionysus and its implications, Journal of Irrigation and Drainage Engineering (ASCE), 141 (11), doi:10.1061/(ASCE)IR.1943-4774.0000906, 2015.
  23. A. Tegos, N. Malamos, and D. Koutsoyiannis, A parsimonious regional parametric evapotranspiration model based on a simplification of the Penman-Monteith formula, Journal of Hydrology, 524, 708–717, doi:10.1016/j.jhydrol.2015.03.024, 2015.
  24. P. Dimitriadis, and D. Koutsoyiannis, Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov processes, Stochastic Environmental Research & Risk Assessment, 29 (6), 1649–1669, doi:10.1007/s00477-015-1023-7, 2015.
  25. A. Efstratiadis, I. Nalbantis, and D. Koutsoyiannis, Hydrological modelling of temporally-varying catchments: Facets of change and the value of information, Hydrological Sciences Journal, 60 (7-8), 1438–1461, doi:10.1080/02626667.2014.982123, 2015.
  26. D. Koutsoyiannis, and A. Montanari, Negligent killing of scientific concepts: the stationarity case, Hydrological Sciences Journal, 60 (7-8), 1174–1183, doi:10.1080/02626667.2014.959959, 2015.
  27. N. Malamos, and D. Koutsoyiannis, Broken line smoothing for data series interpolation by incorporating an explanatory variable with denser observations: Application to soil-water and rainfall data, Hydrological Sciences Journal, doi:10.1080/02626667.2014.899703, 2015.
  28. A. Sikorska, A. Montanari, and D. Koutsoyiannis, Estimating the uncertainty of hydrological predictions through data-driven resampling techniques, Journal of Hydrologic Engineering (ASCE), 20 (1), doi:10.1061/(ASCE)HE.1943-5584.0000926, 2015.
  29. A. Montanari, and D. Koutsoyiannis, Modeling and mitigating natural hazards: Stationarity is immortal!, Water Resources Research, 50 (12), 9748–9756, doi:10.1002/2014WR016092, 2014.
  30. A. Efstratiadis, Y. Dialynas, S. Kozanis, and D. Koutsoyiannis, A multivariate stochastic model for the generation of synthetic time series at multiple time scales reproducing long-term persistence, Environmental Modelling and Software, 62, 139–152, doi:10.1016/j.envsoft.2014.08.017, 2014.
  31. S. Ceola, A. Montanari, and D. Koutsoyiannis, Toward a theoretical framework for integrated modeling of hydrological change, WIREs Water, 1 (5), 427–438, doi:10.1002/wat2.1038, 2014.
  32. C. Pappas, S.M. Papalexiou, and D. Koutsoyiannis, A quick gap-filling of missing hydrometeorological data, Journal of Geophysical Research-Atmospheres, 119 (15), 9290–9300, doi:10.1002/2014JD021633, 2014.
  33. D. Koutsoyiannis, Social vs. scientific perception of change in hydrology and climate — Reply to the Discussion by Arie Ben-Zvi on the Opinion Paper “Hydrology and Change”, Hydrological Sciences Journal, 59 (8), 1625–1626, doi:10.1080/02626667.2014.935382, 2014.
  34. A. Montanari, and D. Koutsoyiannis, Reply to comment by G. Nearing on ‘‘A blueprint for process-based modeling of uncertain hydrological systems’’, Water Resources Research, 50 (7), 6264–6268, doi:10.1002/2013WR014987, 2014.
  35. G. Blöschl, A. Bardossy, D. Koutsoyiannis, Z. W. Kundzewicz, I. G. Littlewood, A. Montanari, and H. H. G. Savenije, Joint Editorial—On the future of journal publications in hydrology, Hydrological Sciences Journal, 59 (5), 955–958, doi:10.1080/02626667.2014.908041, 2014.
  36. D. Koutsoyiannis, Entropy: from thermodynamics to hydrology, Entropy, 16 (3), 1287–1314, doi:10.3390/e16031287, 2014.
  37. A. Efstratiadis, A. D. Koussis, D. Koutsoyiannis, and N. Mamassis, Flood design recipes vs. reality: can predictions for ungauged basins be trusted?, Natural Hazards and Earth System Sciences, 14, 1417–1428, doi:10.5194/nhess-14-1417-2014, 2014.
  38. D. Koutsoyiannis, Reconciling hydrology with engineering, Hydrology Research, 45 (1), 2–22, doi:10.2166/nh.2013.092, 2014.
  39. G. Tsekouras, and D. Koutsoyiannis, Stochastic analysis and simulation of hydrometeorological processes associated with wind and solar energy, Renewable Energy, 63, 624–633, doi:10.1016/j.renene.2013.10.018, 2014.
  40. H. Tyralis, and D. Koutsoyiannis, A Bayesian statistical model for deriving the predictive distribution of hydroclimatic variables, Climate Dynamics, 42 (11-12), 2867–2883, doi:10.1007/s00382-013-1804-y, 2014.
  41. A. Efstratiadis, A. Tegos, A. Varveris, and D. Koutsoyiannis, Assessment of environmental flows under limited data availability – Case study of Acheloos River, Greece, Hydrological Sciences Journal, 59 (3-4), 731–750, doi:10.1080/02626667.2013.804625, 2014.
  42. F. Lombardo, E. Volpi, D. Koutsoyiannis, and S.M. Papalexiou, Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology, Hydrology and Earth System Sciences, 18, 243–255, doi:10.5194/hess-18-243-2014, 2014.
  43. M. Rianna, A. Efstratiadis, F. Russo, F. Napolitano, and D. Koutsoyiannis, A stochastic index method for calculating annual flow duration curves in intermittent rivers, Irrigation and Drainage, 62 (S2), 41–49, doi:10.1002/ird.1803, 2013.
  44. D. Koutsoyiannis, Physics of uncertainty, the Gibbs paradox and indistinguishable particles, Studies in History and Philosophy of Modern Physics, 44, 480–489, doi:10.1016/j.shpsb.2013.08.007, 2013.
  45. E. Kountouri, N. Petrochilos, N. Liaros, V. Oikonomou, D. Koutsoyiannis, N. Mamassis, N. Zarkadoulas, A. Vött, H. Hadler, P. Henning, and T. Willershäuser, The Mycenaean drainage works of north Kopais, Greece: a new project incorporating surface surveys, geophysical research and excavation, Water Science and Technology: Water Supply, 13 (3), 710–718, doi:10.2166/ws.2013.110, 2013.
  46. A. Montanari, G. Young, H. H. G. Savenije, D. Hughes, T. Wagener, L. L. Ren, D. Koutsoyiannis, C. Cudennec, E. Toth, S. Grimaldi, G. Blöschl, M. Sivapalan, K. Beven, H. Gupta, M. Hipsey, B. Schaefli, B. Arheimer, E. Boegh, S. J. Schymanski, G. Di Baldassarre, B. Yu, P. Hubert, Y. Huang, A. Schumann, D. Post, V. Srinivasan, C. Harman, S. Thompson, M. Rogger, A. Viglione, H. McMillan, G. Characklis, Z. Pang, and V. Belyaev, “Panta Rhei – Everything Flows”, Change in Hydrology and Society – The IAHS Scientific Decade 2013-2022, Hydrological Sciences Journal, 58 (6), 1256–1275, doi:10.1080/02626667.2013.809088, 2013.
  47. D. Koutsoyiannis, Hydrology and Change, Hydrological Sciences Journal, 58 (6), 1177–1197, doi:10.1080/02626667.2013.804626, 2013.
  48. S.M. Papalexiou, and D. Koutsoyiannis, Battle of extreme value distributions: A global survey on extreme daily rainfall, Water Resources Research, 49 (1), 187–201, doi:10.1029/2012WR012557, 2013.
  49. Y. Markonis, and D. Koutsoyiannis, Climatic variability over time scales spanning nine orders of magnitude: Connecting Milankovitch cycles with Hurst–Kolmogorov dynamics, Surveys in Geophysics, 34 (2), 181–207, doi:10.1007/s10712-012-9208-9, 2013.
  50. H. Tyralis, D. Koutsoyiannis, and S. Kozanis, An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters, Computational Statistics, 28 (4), 1501–1527, doi:10.1007/s00180-012-0364-7, 2013.
  51. S.M. Papalexiou, D. Koutsoyiannis, and C. Makropoulos, How extreme is extreme? An assessment of daily rainfall distribution tails, Hydrology and Earth System Sciences, 17, 851–862, doi:10.5194/hess-17-851-2013, 2013.
  52. A. Montanari, and D. Koutsoyiannis, A blueprint for process-based modeling of uncertain hydrological systems, Water Resources Research, 48, W09555, doi:10.1029/2011WR011412, 2012.
  53. D. Koutsoyiannis, Reply to the Comment by T. López-Arias on “Clausius-Clapeyron equation and saturation vapour pressure: simple theory reconciled with practice”, European Journal of Physics, 33, L13–L14, 2012.
  54. F. Lombardo, E. Volpi, and D. Koutsoyiannis, Rainfall downscaling in time: Theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades, Hydrological Sciences Journal, 57 (6), 1052–1066, 2012.
  55. D. Koutsoyiannis, Clausius-Clapeyron equation and saturation vapour pressure: simple theory reconciled with practice, European Journal of Physics, 33 (2), 295–305, doi:10.1088/0143-0807/33/2/295, 2012.
  56. S.M. Papalexiou, and D. Koutsoyiannis, Entropy based derivation of probability distributions: A case study to daily rainfall, Advances in Water Resources, 45, 51–57, doi:10.1016/j.advwatres.2011.11.007, 2012.
  57. S.M. Papalexiou, D. Koutsoyiannis, and A. Montanari, Can a simple stochastic model generate rich patterns of rainfall events?, Journal of Hydrology, 411 (3-4), 279–289, 2011.
  58. D. Koutsoyiannis, A. Christofides, A. Efstratiadis, G. G. Anagnostopoulos, and N. Mamassis, Scientific dialogue on climate: is it giving black eyes or opening closed eyes? Reply to “A black eye for the Hydrological Sciences Journal” by D. Huard, Hydrological Sciences Journal, 56 (7), 1334–1339, 2011.
  59. D. Koutsoyiannis, Scale of water resources development and sustainability: Small is beautiful, large is great, Hydrological Sciences Journal, 56 (4), 553–575, doi:10.1080/02626667.2011.579076, 2011.
  60. D. Koutsoyiannis, Hurst-Kolmogorov dynamics as a result of extremal entropy production, Physica A: Statistical Mechanics and its Applications, 390 (8), 1424–1432, doi:10.1016/j.physa.2010.12.035, 2011.
  61. D. Koutsoyiannis, A. Paschalis, and N. Theodoratos, Two-dimensional Hurst-Kolmogorov process and its application to rainfall fields, Journal of Hydrology, 398 (1-2), 91–100, 2011.
  62. I. Nalbantis, A. Efstratiadis, E. Rozos, M. Kopsiafti, and D. Koutsoyiannis, Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems, Hydrology and Earth System Sciences, 15, 743–758, doi:10.5194/hess-15-743-2011, 2011.
  63. D. Koutsoyiannis, Hurst-Kolmogorov dynamics and uncertainty, Journal of the American Water Resources Association, 47 (3), 481–495, doi:10.1111/j.1752-1688.2011.00543.x, 2011.
  64. H. Tyralis, and D. Koutsoyiannis, Simultaneous estimation of the parameters of the Hurst-Kolmogorov stochastic process, Stochastic Environmental Research & Risk Assessment, 25 (1), 21–33, 2011.
  65. G. Di Baldassarre, A. Montanari, H. F. Lins, D. Koutsoyiannis, L. Brandimarte, and G. Blöschl, Flood fatalities in Africa: from diagnosis to mitigation, Geophysical Research Letters, 37, L22402, doi:10.1029/2010GL045467, 2010.
  66. E. Rozos, and D. Koutsoyiannis, Error analysis of a multi-cell groundwater model, Journal of Hydrology, 392 (1-2), 22–30, 2010.
  67. G. G. Anagnostopoulos, D. Koutsoyiannis, A. Christofides, A. Efstratiadis, and N. Mamassis, A comparison of local and aggregated climate model outputs with observed data, Hydrological Sciences Journal, 55 (7), 1094–1110, doi:10.1080/02626667.2010.513518, 2010.
  68. D. Koutsoyiannis, Z. W. Kundzewicz, F. Watkins, and C. Gardner, Something old, something new, something red, something blue, Hydrological Sciences Journal, 55 (1), 1–3, 2010.
  69. A. Efstratiadis, and D. Koutsoyiannis, One decade of multiobjective calibration approaches in hydrological modelling: a review, Hydrological Sciences Journal, 55 (1), 58–78, 2010.
  70. D. Koutsoyiannis, A random walk on water, Hydrology and Earth System Sciences, 14, 585–601, doi:10.5194/hess-14-585-2010, 2010.
  71. S. Grimaldi, D. Koutsoyiannis, D. Piccolo, and A. Schumann, Guest Editorial—Recent developments of statistical tools for hydrological application, Physics and Chemistry of the Earth, 34 (10-12), 595, 2009.
  72. D. Koutsoyiannis, A. Montanari, H. F. Lins, and T.A. Cohn, Climate, hydrology and freshwater: towards an interactive incorporation of hydrological experience into climate research—DISCUSSION of “The implications of projected climate change for freshwater resources and their management”, Hydrological Sciences Journal, 54 (2), 394–405, doi:10.1623/hysj.54.2.394, 2009.
  73. D. Koutsoyiannis, and Z. W. Kundzewicz, Editorial—Recycling paper vs recycling papers, Hydrological Sciences Journal, 54 (1), 3–4, 2009.
  74. D. Koutsoyiannis, C. Makropoulos, A. Langousis, S. Baki, A. Efstratiadis, A. Christofides, G. Karavokiros, and N. Mamassis, Climate, hydrology, energy, water: recognizing uncertainty and seeking sustainability, Hydrology and Earth System Sciences, 13, 247–257, doi:10.5194/hess-13-247-2009, 2009.
  75. I. Zalachori, D. Koutsoyiannis, and A. Andreadakis, Infiltration and inflow in sewer systems: Identification and quantification in Greece, Technica Chronica, 28 (1), 43–51, 2008.
  76. D. Koutsoyiannis, A. Efstratiadis, N. Mamassis, and A. Christofides, On the credibility of climate predictions, Hydrological Sciences Journal, 53 (4), 671–684, 2008.
  77. A. Tsouni, C. Contoes, D. Koutsoyiannis, P. Elias, and N. Mamassis, Estimation of actual evapotranspiration by remote sensing: Application in Thessaly Plain, Greece, Sensors, 8 (6), 3586–3600, 2008.
  78. D. Koutsoyiannis, and Z. W. Kundzewicz, The choice of language and its relationship to the impact of hydrological studies. Reply to discussions of "Editorial-Quantifying the impact of hydrological studies", Hydrological Sciences Journal, 53 (2), 495–499, 2008.
  79. D. Koutsoyiannis, A power-law approximation of the turbulent flow friction factor useful for the design and simulation of urban water networks, Urban Water Journal, 5 (2), 117–115, 2008.
  80. D. Koutsoyiannis, H. Yao, and A. Georgakakos, Medium-range flow prediction for the Nile: a comparison of stochastic and deterministic methods, Hydrological Sciences Journal, 53 (1), 142–164, doi:10.1623/hysj.53.1.142, 2008.
  81. C. Makropoulos, D. Koutsoyiannis, M. Stanic, S. Djordevic, D. Prodanovic, T. Dasic, S. Prohaska, C. Maksimovic, and H. S. Wheater, A multi-model approach to the simulation of large scale karst flows, Journal of Hydrology, 348 (3-4), 412–424, 2008.
  82. A. Efstratiadis, I. Nalbantis, A. Koukouvinos, E. Rozos, and D. Koutsoyiannis, HYDROGEIOS: A semi-distributed GIS-based hydrological model for modified river basins, Hydrology and Earth System Sciences, 12, 989–1006, doi:10.5194/hess-12-989-2008, 2008.
  83. D. Koutsoyiannis, N. Zarkadoulas, A. N. Angelakis, and G. Tchobanoglous, Urban water management in Ancient Greece: Legacies and lessons, Journal of Water Resources Planning and Management - ASCE, 134 (1), 45–54, doi:10.1061/(ASCE)0733-9496(2008)134:1(45), 2008.
  84. C. Cudennec, C. Leduc, and D. Koutsoyiannis, Dryland hydrology in Mediterranean regions -- a review, Hydrological Sciences Journal, 52 (6), 1077–1087, doi:10.1623/hysj.52.6.1077, 2007.
  85. D. Koutsoyiannis, Discussion of "Generalized regression neural networks for evapotranspiration modelling", Hydrological Sciences Journal, 52 (4), 832–835, 2007.
  86. D. Koutsoyiannis, and A. Montanari, Statistical analysis of hydroclimatic time series: Uncertainty and insights, Water Resources Research, 43 (5), W05429, doi:10.1029/2006WR005592, 2007.
  87. L. W. Mays, D. Koutsoyiannis, and A. N. Angelakis, A brief history of urban water supply in antiquity, Water Science and Technology: Water Supply, 7 (1), 1–12, doi:10.2166/ws.2007.001, 2007.
  88. D. Koutsoyiannis, N. Mamassis, and A. Tegos, Logical and illogical exegeses of hydrometeorological phenomena in ancient Greece, Water Science and Technology: Water Supply, 7 (1), 13–22, 2007.
  89. A. N. Angelakis, and D. Koutsoyiannis, Water and wastewater technologies in ancient civilizations: Prolegomena, Water Science and Technology: Water Supply, 7 (1), vii–ix, 2007.
  90. D. Koutsoyiannis, and Z. W. Kundzewicz, Editorial - Quantifying the impact of hydrological studies, Hydrological Sciences Journal, 52 (1), 3–17, 2007.
  91. D. Koutsoyiannis, A. Efstratiadis, and K. Georgakakos, Uncertainty assessment of future hydroclimatic predictions: A comparison of probabilistic and scenario-based approaches, Journal of Hydrometeorology, 8 (3), 261–281, doi:10.1175/JHM576.1, 2007.
  92. S. Grimaldi, D. Koutsoyiannis, D. Piccolo, and F. Napolitano, Editorial - Time series analysis in hydrology, Physics and Chemistry of the Earth, 31 (18), 1097–1098, 2006.
  93. D. Koutsoyiannis, Editorial - Grateful and apprehensive, Hydrological Sciences Journal, 51 (6), 987–988, 2006.
  94. D. Koutsoyiannis, On the quest for chaotic attractors in hydrological processes, Hydrological Sciences Journal, 51 (6), 1065–1091, doi:10.1623/hysj.51.6.1065, 2006.
  95. Z. W. Kundzewicz, and D. Koutsoyiannis, Pathologies, improvements and optimism, Hydrological Sciences Journal, 51 (2), 357–363, 2006.
  96. S.M. Papalexiou, and D. Koutsoyiannis, A probabilistic approach to the concept of probable maximum precipitation, Advances in Geosciences, 7, 51-54, doi:10.5194/adgeo-7-51-2006, 2006.
  97. E. Rozos, and D. Koutsoyiannis, A multicell karstic aquifer model with alternative flow equations, Journal of Hydrology, 325 (1-4), 340–355, 2006.
  98. D. Koutsoyiannis, An entropic-stochastic representation of rainfall intermittency: The origin of clustering and persistence, Water Resources Research, 42 (1), W01401, doi:10.1029/2005WR004175, 2006.
  99. D. Koutsoyiannis, Nonstationarity versus scaling in hydrology, Journal of Hydrology, 324, 239–254, 2006.
  100. D. Koutsoyiannis, A toy model of climatic variability with scaling behaviour, Journal of Hydrology, 322, 25–48, 2006.
  101. A. Langousis, and D. Koutsoyiannis, A stochastic methodology for generation of seasonal time series reproducing overyear scaling behaviour, Journal of Hydrology, 322, 138–154, 2006.
  102. D. Zarris, and D. Koutsoyiannis, Evaluating sediment yield estimations from large-scale hydrologic systems using the rating curve concept, RMZ - Materials and Geoenvironment, 52 (1), 157–159, 2005.
  103. K. Hadjibiros, A. Katsiri, A. Andreadakis, D. Koutsoyiannis, A. Stamou, A. Christofides, A. Efstratiadis, and G.-F. Sargentis, Multi-criteria reservoir water management, Global Network for Environmental Science and Technology, 7 (3), 386–394, 2005.
  104. A. Christofides, A. Efstratiadis, D. Koutsoyiannis, G.-F. Sargentis, and K. Hadjibiros, Resolving conflicting objectives in the management of the Plastiras Lake: can we quantify beauty?, Hydrology and Earth System Sciences, 9 (5), 507–515, 2005.
  105. Z. W. Kundzewicz, and D. Koutsoyiannis, Editorial - The peer-review system: prospects and challenges, Hydrological Sciences Journal, 50 (4), 577–590, 2005.
  106. D. Koutsoyiannis, Uncertainty, entropy, scaling and hydrological stochastics, 2, Time dependence of hydrological processes and time scaling, Hydrological Sciences Journal, 50 (3), 405–426, doi:10.1623/hysj.50.3.405.65028, 2005.
  107. D. Koutsoyiannis, Uncertainty, entropy, scaling and hydrological stochastics, 1, Marginal distributional properties of hydrological processes and state scaling, Hydrological Sciences Journal, 50 (3), 381–404, doi:10.1623/hysj.50.3.381.65031, 2005.
  108. A. N. Angelakis, D. Koutsoyiannis, and G. Tchobanoglous, Urban wastewater and stormwater technologies in ancient Greece, Water Research, 39 (1), 210–220, doi:10.1016/j.watres.2004.08.033, 2005.
  109. E. Rozos, A. Efstratiadis, I. Nalbantis, and D. Koutsoyiannis, Calibration of a semi-distributed model for conjunctive simulation of surface and groundwater flows, Hydrological Sciences Journal, 49 (5), 819–842, doi:10.1623/hysj.49.5.819.55130, 2004.
  110. D. Koutsoyiannis, Statistics of extremes and estimation of extreme rainfall, 2, Empirical investigation of long rainfall records, Hydrological Sciences Journal, 49 (4), 591–610, 2004.
  111. D. Koutsoyiannis, Statistics of extremes and estimation of extreme rainfall, 1, Theoretical investigation, Hydrological Sciences Journal, 49 (4), 575–590, 2004.
  112. K Mantoudi, N. Mamassis, and D. Koutsoyiannis, Water basin balance model using a geographical information system, Technica Chronica, 24 (1-3), 43–52, 2004.
  113. K. Mazi, A. D. Koussis, P. J. Restrepo, and D. Koutsoyiannis, A groundwater-based, objective-heuristic parameter optimisation method for a precipitation-runoff model and its application to a semi-arid basin, Journal of Hydrology, 290, 243–258, 2004.
  114. A. Efstratiadis, D. Koutsoyiannis, and D. Xenos, Minimising water cost in the water resource management of Athens, Urban Water Journal, 1 (1), 3–15, 2004.
  115. D. Koutsoyiannis, G. Karavokiros, A. Efstratiadis, N. Mamassis, A. Koukouvinos, and A. Christofides, A decision support system for the management of the water resource system of Athens, Physics and Chemistry of the Earth, 28 (14-15), 599–609, doi:10.1016/S1474-7065(03)00106-2, 2003.
  116. D. Koutsoyiannis, and A. Economou, Evaluation of the parameterization-simulation-optimization approach for the control of reservoir systems, Water Resources Research, 39 (6), 1170, doi:10.1029/2003WR002148, 2003.
  117. D. Koutsoyiannis, C. Onof, and H. S. Wheater, Multivariate rainfall disaggregation at a fine timescale, Water Resources Research, 39 (7), 1173, doi:10.1029/2002WR001600, 2003.
  118. D. Koutsoyiannis, Climate change, the Hurst phenomenon, and hydrological statistics, Hydrological Sciences Journal, 48 (1), 3–24, doi:10.1623/hysj.48.1.3.43481, 2003.
  119. D. Koutsoyiannis, A. Efstratiadis, and G. Karavokiros, A decision support tool for the management of multi-reservoir systems, Journal of the American Water Resources Association, 38 (4), 945–958, doi:10.1111/j.1752-1688.2002.tb05536.x, 2002.
  120. D. Koutsoyiannis, The Hurst phenomenon and fractional Gaussian noise made easy, Hydrological Sciences Journal, 47 (4), 573–595, doi:10.1080/02626660209492961, 2002.
  121. D. Koutsoyiannis, and N. Mamassis, On the representation of hyetograph characteristics by stochastic rainfall models, Journal of Hydrology, 251, 65–87, 2001.
  122. D. Koutsoyiannis, and C. Onof, Rainfall disaggregation using adjusting procedures on a Poisson cluster model, Journal of Hydrology, 246, 109–122, 2001.
  123. D. Koutsoyiannis, Coupling stochastic models of different time scales, Water Resources Research, 37 (2), 379–391, doi:10.1029/2000WR900200, 2001.
  124. G. Baloutsos, D. Koutsoyiannis, A. Economou, and P. Kalliris, Investigation of the hydrologic response of the Xerias torrent basin to the rainstorm of January 1997 using the SCS method, Geotechnical Scientific Issues, 11 (1), 77–90, 2000.
  125. D. Koutsoyiannis, and G. Baloutsos, Analysis of a long record of annual maximum rainfall in Athens, Greece, and design rainfall inferences, Natural Hazards, 22 (1), 29–48, doi:10.1023/A:1008001312219, 2000.
  126. D. Koutsoyiannis, Broken line smoothing: A simple method for interpolating and smoothing data series, Environmental Modelling and Software, 15 (2), 139–149, 2000.
  127. D. Koutsoyiannis, A generalized mathematical framework for stochastic simulation and forecast of hydrologic time series, Water Resources Research, 36 (6), 1519–1533, 2000.
  128. G. Tsakalias, and D. Koutsoyiannis, A comprehensive system for the exploration and analysis of hydrological data, Water Resources Management, 13, 269–302, 1999.
  129. D. Koutsoyiannis, A probabilistic view of Hershfield's method for estimating probable maximum precipitation, Water Resources Research, 35 (4), 1313–1322, doi:10.1029/1999WR900002, 1999.
  130. D. Koutsoyiannis, Optimal decomposition of covariance matrices for multivariate stochastic models in hydrology, Water Resources Research, 35 (4), 1219–1229, doi:10.1029/1998WR900093, 1999.
  131. D. Koutsoyiannis, D. Kozonis, and A. Manetas, A mathematical framework for studying rainfall intensity-duration-frequency relationships, Journal of Hydrology, 206 (1-2), 118–135, 1998.
  132. I. Nalbantis, and D. Koutsoyiannis, A parametric rule for planning and management of multiple reservoir systems, Water Resources Research, 33 (9), 2165–2177, doi:10.1029/97WR01034, 1997.
  133. D. Koutsoyiannis, and A. Manetas, Simple disaggregation by accurate adjusting procedures, Water Resources Research, 32 (7), 2105–2117, doi:10.1029/96WR00488, 1996.
  134. D. Koutsoyiannis, and D. Pachakis, Deterministic chaos versus stochasticity in analysis and modeling of point rainfall series, Journal of Geophysical Research-Atmospheres, 101 (D21), 26441–26451, doi:10.1029/96JD01389, 1996.
  135. N. Mamassis, and D. Koutsoyiannis, Influence of atmospheric circulation types in space-time distribution of intense rainfall, Journal of Geophysical Research-Atmospheres, 101 (D21), 26267–26276, 1996.
  136. D. Koutsoyiannis, A stochastic disaggregation method for design storm and flood synthesis, Journal of Hydrology, 156, 193–225, doi:10.1016/0022-1694(94)90078-7, 1994.
  137. D. Koutsoyiannis, and E. Foufoula-Georgiou, A scaling model of storm hyetograph, Water Resources Research, 29 (7), 2345–2361, doi:10.1029/93WR00395, 1993.
  138. I. Nalbantis, D. Koutsoyiannis, and Th. Xanthopoulos, Modelling the Athens water supply system, Water Resources Management, 6, 57–67, doi:10.1007/BF00872188, 1992.
  139. D. Koutsoyiannis, A nonlinear disaggregation method with a reduced parameter set for simulation of hydrologic series, Water Resources Research, 28 (12), 3175–3191, doi:10.1029/92WR01299, 1992.
  140. D. Koutsoyiannis, and Th. Xanthopoulos, A dynamic model for short-scale rainfall disaggregation, Hydrological Sciences Journal, 35 (3), 303–322, doi:10.1080/02626669009492431, 1990.
  141. D. Koutsoyiannis, and Th. Xanthopoulos, On the parametric approach to unit hydrograph identification, Water Resources Management, 3 (2), 107–128, doi:10.1007/BF00872467, 1989.
  142. D. Koutsoyiannis, and K. Tarla, Sediment Yield Estimations in Greece, Technica Chronica, A-7 (3), 127–154, 1987.

Book chapters and fully evaluated conference publications

  1. N. Malamos, I. L. Tsirogiannis, A. Tegos, A. Efstratiadis, and D. Koutsoyiannis, Spatial interpolation of potential evapotranspiration for precision irrigation purposes, 10th World Congress on Water Resources and Environment, Athens, European Water Resources Association, 2017.
  2. D. Koutsoyiannis, and S.M. Papalexiou, Extreme rainfall: Global perspective, Handbook of Applied Hydrology, Second Edition, edited by V.P. Singh, 74.1–74.16, McGraw-Hill, New York, 2017.
  3. A. Tsouni, C. Contoes, E. Ieronymidi, A. Koukouvinos, and D. Koutsoyiannis, BEYOND Center of Excellence: flood mapping and modelling, 1st International Geomatics Applications “Geomapplica” Conference, Skiathos Island, Greece, doi:10.13140/RG.2.1.1129.7520, University of Thessaly, 2014.
  4. N. Mamassis, and D. Koutsoyiannis, Views on ancient Hellenic science and technology, IWA Regional Symposium on Water, Wastewater & Environment: Traditions & Culture, Patras, Greece, doi:10.13140/RG.2.1.2702.6163, International Water Association, 2014.
  5. D. Koutsoyiannis, Past and modern water problems: progress or regression? (Invited), IWA Regional Symposium on Water, Wastewater & Environment: Traditions & Culture, Patras, Greece, 3–13, doi:10.13140/RG.2.1.4144.4082, International Water Association, 2014.
  6. D. Koutsoyiannis, and A. Patrikiou, Water control in Ancient Greek cities, A History of Water: Water and Urbanization, edited by T. Tvedt and T. Oestigaard, 130–148, I.B. Tauris, London, 2014.
  7. E.N. Otay, A. Stamou, Y.C. Altan, G. Papadonikolaki, N. Copty, G. Christodoulou, F.T. Karakoc, V. Tsoukala, D. Koutsoyiannis, and A. Papadopoulos, Risk assessment of oil spill accidents, Part 2: application to Saronikos gulf and Izmir bay, Proceedings of the 13th International Conference on Environmental Science and Technology, Athens, 2013.
  8. N. Mamassis, and D. Koutsoyiannis, Information technologies in hydrometeorological data management in Greece, Honorary Edition for for Professor Emeritus D. Tolikas, edited by K. L. Katsifarakis and M. Vafiadis, 27–37, doi:10.13140/RG.2.1.1165.5928, Aristotle University of Thessaloniki, Thessaloniki, 2013.
  9. C. Ioannou, G. Tsekouras, A. Efstratiadis, and D. Koutsoyiannis, Stochastic analysis and simulation of hydrometeorological processes for optimizing hybrid renewable energy systems, Proceedings of the 2nd Hellenic Concerence on Dams and Reservoirs, Athens, Zappeion, doi:10.13140/RG.2.1.3787.0327, Hellenic Commission on Large Dams, 2013.
  10. A. Efstratiadis, D. Bouziotas, and D. Koutsoyiannis, A decision support system for the management of hydropower systems – Application to the Acheloos-Thessaly hydrosystem, Proceedings of the 2nd Hellenic Concerence on Dams and Reservoirs, Athens, Zappeion, doi:10.13140/RG.2.1.1952.0244, Hellenic Commission on Large Dams, 2013.
  11. D. Koutsoyiannis, Water resources development and management for developing countries in the 21st century: revisiting older and newer ideas (keynote lecture), International Symposium on Answers to Asian Aquatic Problems 2013, Tokyo, Japan, 11–18, doi:10.13140/RG.2.1.3721.4965, Tokyo Metropolitan University, 2013.
  12. A. Efstratiadis, A. D. Koussis, S. Lykoudis, A. Koukouvinos, A. Christofides, G. Karavokiros, N. Kappos, N. Mamassis, and D. Koutsoyiannis, Hydrometeorological network for flood monitoring and modeling, Proceedings of First International Conference on Remote Sensing and Geoinformation of Environment, Paphos, Cyprus, 8795, 10-1–10-10, doi:10.1117/12.2028621, Society of Photo-Optical Instrumentation Engineers (SPIE), 2013.
  13. A. Tegos, A. Efstratiadis, and D. Koutsoyiannis, A parametric model for potential evapotranspiration estimation based on a simplified formulation of the Penman-Monteith equation, Evapotranspiration - An Overview, edited by S. Alexandris, 143–165, doi:10.5772/52927, InTech, 2013.
  14. D. Koutsoyiannis, Reconciling hydrology with engineering (Openning lecture), IDRA 2012 – XXXIII Conference of Hydraulics and Hydraulic Engineering, Brescia, Italy, doi:10.13140/RG.2.1.2279.7046, 2012.
  15. S. Kozanis, A. Christofides, N. Mamassis, and D. Koutsoyiannis, openmeteo.org: a web service for the dissemination of free meteorological data, Advances in Meteorology, Climatology and Atmospheric Physics, edited by C.G. Helmis and P. Nastos, Athens, 203–208, doi:10.1007/978-3-642-29172-2_29, Springer, Athens, 2012.
  16. D. Koutsoyiannis, N. Zarkadoulas, N. Mamassis, A. N. Angelakis, and L. W. Mays, The evolution of water supply throughout the millennia: A short overview, Evolution of Water Supply Through the Millennia, edited by A. N. Angelakis, L. W. Mays, D. Koutsoyiannis, and N. Mamassis, 21, 553–560, doi:10.13140/RG.2.1.2541.8485, IWA Publishing, London, 2012.
  17. N. Zarkadoulas, D. Koutsoyiannis, N. Mamassis, and A. N. Angelakis, A brief history of urban water management in ancient Greece, Evolution of Water Supply Through the Millennia, edited by A. N. Angelakis, L. W. Mays, D. Koutsoyiannis, and N. Mamassis, 10, 259–270, doi:10.13140/RG.2.1.4114.7127, IWA Publishing, London, 2012.
  18. A. N. Angelakis, L. W. Mays, D. Koutsoyiannis, and N. Mamassis, Prolegomena: The evolution of water supply through the millennia, Evolution of Water Supply Through the Millennia, edited by A. N. Angelakis, L. W. Mays, D. Koutsoyiannis, and N. Mamassis, xxi–xxii, doi:10.13140/RG.2.1.1542.4245, IWA Publishing, 2012.
  19. E. Kountouri, N. Petrochilos, D. Koutsoyiannis, N. Mamassis, N. Zarkadoulas, A. Vött, H. Hadler, P. Henning, and T. Willershäuser, A new project of surface survey, geophysical and excavation research of the mycenaean drainage works of the North Kopais: the first study season, 3rd IWA Specialized Conference on Water & Wastewater Technologies in Ancient Civilizations, Istanbul, Turkey, 467–476, doi:10.13140/RG.2.1.2328.8563, International Water Association, 2012.
  20. A. N. Angelakis, D. Koutsoyiannis, and P. Papanicolaou, On the geometry of the Minoan water conduits, 3rd IWA Specialized Conference on Water & Wastewater Technologies in Ancient Civilizations, Istanbul, Turkey, 172–177, doi:10.13140/RG.2.1.4426.0083, International Water Association, 2012.
  21. D. Koutsoyiannis, N. Mamassis, A. Efstratiadis, N. Zarkadoulas, and Y. Markonis, Floods in Greece, Changes of Flood Risk in Europe, edited by Z. W. Kundzewicz, Chapter 12, 238–256, IAHS Press, Wallingford – International Association of Hydrological Sciences, 2012.
  22. D. Koutsoyiannis, Prolegomena, Common Sense and Other Heresies, Selected Papers on Hydrology and Water Resources Engineering by Vít Klemeš (Second edition), edited by C. D. Sellars, xi–xv, Canadian Water Resources Association, International Association of Hydrological Sciences, 2011.
  23. D. Koutsoyiannis, and A. Langousis, Precipitation, Treatise on Water Science, edited by P. Wilderer and S. Uhlenbrook, 2, 27–78, Academic Press, Oxford, 2011.
  24. N. Mamassis, and D. Koutsoyiannis, A web based information system for the inspection of the hydraulic works in Ancient Greece, Ancient Water Technologies, edited by L. W. Mays, 103–114, doi:10.1007/978-90-481-8632-7_6, Springer, Dordrecht, 2010.
  25. N. Evelpidou, N. Mamassis, A. Vassilopoulos, C. Makropoulos, and D. Koutsoyiannis, Flooding in Athens: The Kephisos River flood event of 21-22/10/1994, International Conference on Urban Flood Management, Paris, doi:10.13140/RG.2.1.4065.5601, UNESCO, 2009.
  26. D. Koutsoyiannis, and N. Mamassis, New approaches to estimation of extreme rainfall, 1st Hellenic Conference on Large Dams, Larisa, 2, 433–440, doi:10.13140/RG.2.1.1116.4400, Hellenic Commission on Large Dams, Technical Chamber of Greece, 2008.
  27. D. Koutsoyiannis, Older and modern considerations in the design and management of reservoirs, dams and hydropower plants (Solicited), 1st Hellenic Conference on Large Dams, Larisa, doi:10.13140/RG.2.1.3213.5922, Hellenic Commission on Large Dams, Technical Chamber of Greece, 2008.
  28. A. Efstratiadis, and D. Koutsoyiannis, Fitting hydrological models on multiple responses using the multiobjective evolutionary annealing simplex approach, Practical hydroinformatics: Computational intelligence and technological developments in water applications, edited by R.J. Abrahart, L. M. See, and D. P. Solomatine, 259–273, doi:10.1007/978-3-540-79881-1_19, Springer, 2008.
  29. N. Mamassis, and D. Koutsoyiannis, Physical, social and technological aspects of drought - The Athens example, Natural and Technological Disasters in Europe and Greece, edited by K. Sapountzaki, 61–88, doi:10.13140/RG.2.1.1640.7289, Gutenberg, Athens, 2007.
  30. N. Mamassis, V. Kanellopoulos, and D. Koutsoyiannis, A web based information system for the inspection of the hydraulic works in Ancient Greece, 5th International Symposium on Environmental Hydraulics, Tempe, Arizona, doi:10.13140/RG.2.1.3475.7362, International Association of Hydraulic Research, 2007.
  31. D. Koutsoyiannis, A critical review of probability of extreme rainfall: principles and models, Advances in Urban Flood Management, edited by R. Ashley, S. Garvin, E. Pasche, A. Vassilopoulos, and C. Zevenbergen, 139–166, doi:10.1201/9780203945988.ch7, Taylor and Francis, London, 2007.
  32. D. Koutsoyiannis, and A. N. Angelakis, Agricultural hydraulic works in ancient Greece, Encyclopedia of Water Science, Second Edition, edited by S. W. Trimble, 24–27, doi:10.13140/RG.2.1.2582.8084, CRC Press, 2007.
  33. Z. Theocharis, C. Memos, and D. Koutsoyiannis, Wave height background errors simulation and forecasting via stochastic methods in deep and intermediate waters, Proceedings of the 30th International Conference on Coastal Engineering, San Diego, 1, 578–589, doi:10.1142/9789812709554_0050, 2006.
  34. Z. Theocharis, C. Memos, and D. Koutsoyiannis, Wave forecasting errors in time and space, 4th National Conference of Harbour Works, Athens, 51–60, doi:10.13140/RG.2.1.1468.6967, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 2006.
  35. G Cox, C. Smythe, and D. Koutsoyiannis, The Hurst phenomenon and Monte Carlo simulation to forecast reliability of an Australian reservoir, Proceedings of the 30th Hydrology and Water Resources Symposium, Launceston, Australia, doi:10.13140/RG.2.1.2517.2721, Engineers Australia, 2006.
  36. A. N. Angelakis, D. Koutsoyiannis, and L. W. Mays, Water and wastewater technologies in ancient Civilizations: Conclusions, Proceedings of the 1st IWA International Symposium on Water and Wastewater Technologies in Ancient Civilizations, edited by A. N. Angelakis and D. Koutsoyiannis, Iraklio, doi:10.13140/RG.2.1.5138.7120, International Water Association, 2006.
  37. A. N. Angelakis, and D. Koutsoyiannis, Water and wastewater technologies in ancient Civilizations: Prolegomena, Proceedings of the 1st IWA International Symposium on Water and Wastewater Technologies in Ancient Civilizations, edited by A. N. Angelakis and D. Koutsoyiannis, Iraklio, i–iii, doi:10.13140/RG.2.1.2091.2887, International Water Association, 2006.
  38. D. Koutsoyiannis, N. Mamassis, and A. Tegos, Logical and illogical exegeses of hydrometeorological phenomena in ancient Greece, Proceedings of the 1st IWA International Symposium on Water and Wastewater Technologies in Ancient Civilizations, edited by A. N. Angelakis and D. Koutsoyiannis, Iraklio, 135–143, doi:10.13140/RG.2.1.4188.4408, International Water Association, 2006.
  39. K. Hadjibiros, A. Katsiri, A. Andreadakis, D. Koutsoyiannis, A. Stamou, A. Christofides, A. Efstratiadis, and G.-F. Sargentis, Multi-criteria reservoir water management, Proceedings of the 9th International Conference on Environmental Science and Technology (9CEST), Rhodes, A, 535–543, Department of Environmental Studies, University of the Aegean, 2005.
  40. A. N. Angelakis, and D. Koutsoyiannis, Wastewater management in the Minoan civilization, Proceedings of the 2nd International Conference on Ancient Greek Technology, 551–556, doi:10.13140/RG.2.1.3270.9367, Technical Chamber of Greece, Athens, 2005.
  41. D. Koutsoyiannis, Hydrologic persistence and the Hurst phenomenon, Water Encyclopedia, Vol. 4, Surface and Agricultural Water, edited by J. H. Lehr and J. Keeley, 210–221, doi:10.1002/047147844X.sw434, Wiley, New York, 2005.
  42. D. Koutsoyiannis, Stochastic simulation of hydrosystems, Water Encyclopedia, Vol. 4, Surface and Agricultural Water, edited by J. H. Lehr and J. Keeley, 421–430, doi:10.1002/047147844X.sw913, Wiley, New York, 2005.
  43. D. Koutsoyiannis, Reliability concepts in reservoir design, Water Encyclopedia, Vol. 4, Surface and Agricultural Water, edited by J. H. Lehr and J. Keeley, 259–265, doi:10.1002/047147844X.sw776, Wiley, New York, 2005.
  44. N. Mamassis, A. Christofides, and D. Koutsoyiannis, Hydrometeorological data acquisition, management and analysis for the Athens water supply system, BALWOIS Conference on Water Observation and Information System for Decision Support, Ochrid, FYROM, doi:10.13140/RG.2.1.1845.5284, Ministry of Environment and Physical Planning FYROM, Skopie, 2004.
  45. D. Koutsoyiannis, Exploration of long records of extreme rainfall and design rainfall inferences, Hydrology: Science and Practice for the 21st Century, edited by B. Webb, N. Arnell, C. Onof, N. MacIntire, R. Gurney, and C. Kirby, London, I, 148–157, doi:10.13140/RG.2.1.1190.1681, British Hydrological Society, 2004.
  46. D. Koutsoyiannis, On the appropriateness of the Gumbel distribution for modelling extreme rainfall (solicited), Hydrological Risk: recent advances in peak river flow modelling, prediction and real-time forecasting. Assessment of the impacts of land-use and climate changes, edited by A. Brath, A. Montanari, and E. Toth, Bologna, 303–319, doi:10.13140/RG.2.1.3811.6080, Editoriale Bios, Castrolibero, Italy, 2004.
  47. A. Tsouni, D. Koutsoyiannis, C. Contoes, N. Mamassis, and P. Elias, Estimation of actual evapotranspiration by remote sensing: Application in Thessalia plain, Greece, Proceedings of the International Conference "Geographical Information Systems and Remote Sensing: Environmental Applications", Volos, doi:10.13140/RG.2.1.3025.1763, 2003.
  48. D. Koutsoyiannis, and A. Efstratiadis, Experience from the development of decision support systems for the management of large-scale hydrosystems of Greece, Proceedings of the Workshop "Water Resources Studies in Cyprus", edited by E. Sidiropoulos and I. Iakovidis, Nikosia, 159–180, Water Development Department of Cyprus, Aristotle University of Thessaloniki, Thessaloniki, 2003.
  49. D. Koutsoyiannis, Rainfall disaggregation methods: Theory and applications (invited), Proceedings, Workshop on Statistical and Mathematical Methods for Hydrological Analysis, edited by D. Piccolo and L. Ubertini, Rome, 1–23, doi:10.13140/RG.2.1.2840.8564, Università di Roma "La Sapienza", 2003.
  50. D. Koutsoyiannis, and A. N. Angelakis, Hydrologic and hydraulic science and technology in ancient Greece, The Encyclopedia of Water Science, edited by B. A. Stewart and T. Howell, 415–417, doi:10.13140/RG.2.1.1333.5282, Dekker, New York, 2003.
  51. A. N. Angelakis, and D. Koutsoyiannis, Urban water engineering and management in ancient Greece, The Encyclopedia of Water Science, edited by B. A. Stewart and T. Howell, 999–1007, doi:10.13140/RG.2.1.2644.2487, Dekker, New York, 2003.
  52. D. Zarris, E. Lykoudi, and D. Koutsoyiannis, Sediment yield estimation of a hydrological basin using measurements of reservoir deposits: A case study for the Kremasta reservoir, Western Greece, Proceedings of the 5th International Conference of European Water Resources Association: "Water Resources Management in the Era of Transition", edited by G. Tsakiris, Athens, 338–345, doi:10.13140/RG.2.1.2382.1047, European Water Resources Association, 2002.
  53. N. Mamassis, and D. Koutsoyiannis, A hydrometeorological telemetric network for the water resources monitoring of the Athens water resource system, Proceedings of the 5th International Conference of European Water Resources Association: "Water Resources Management in the Era of Transition", edited by G. Tsakiris, Athens, 157–163, doi:10.13140/RG.2.1.3954.9683, European Water Resources Association, 2002.
  54. I. Nalbantis, E. Rozos, G. M. T. Tentes, A. Efstratiadis, and D. Koutsoyiannis, Integrating groundwater models within a decision support system, Proceedings of the 5th International Conference of European Water Resources Association: "Water Resources Management in the Era of Transition", edited by G. Tsakiris, Athens, 279–286, European Water Resources Association, 2002.
  55. D. Zarris, E. Lykoudi, and D. Koutsoyiannis, The evolution of river sediment deposits in reservoirs as a dynamic phenomenon - Application to the Kremasta reservoir, Proceedings of the 6th Panhellenic Conference of the Greek Geographical Society, Thessaloniki, 2, 363–370, doi:10.13140/RG.2.1.1726.7446, Aristotle University of Thessaloniki, Greek Geographical Society, 2002.
  56. K. Hadjibiros, D. Koutsoyiannis, A. Katsiri, A. Stamou, A. Andreadakis, G.-F. Sargentis, A. Christofides, A. Efstratiadis, and A. Valassopoulos, Management of water quality of the Plastiras reservoir, 4th International Conference on Reservoir Limnology and Water Quality, Ceske Budejovice, Czech Republic, doi:10.13140/RG.2.1.4872.4723, 2002.
  57. D. Koutsoyiannis, and I. Tselentis, Comment on the perspectives of water resources development in Greece with regard to the Water Framework Directive, Water Framework Directive - Harmonization with the Greek reality, Proceedings, 87–92, doi:10.13140/RG.2.1.1988.8887, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, 2002.
  58. A. Efstratiadis, and D. Koutsoyiannis, An evolutionary annealing-simplex algorithm for global optimisation of water resource systems, Proceedings of the Fifth International Conference on Hydroinformatics, Cardiff, UK, 1423–1428, doi:10.13140/RG.2.1.1038.6162, International Water Association, 2002.
  59. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, Determining management scenarios for the water resource system of Athens, Proceedings, Hydrorama 2002, 3rd International Forum on Integrated Water Management, 175–181, doi:10.13140/RG.2.1.3135.7684, Water Supply and Sewerage Company of Athens, Athens, 2002.
  60. D. Xenos, I. Passios, S. Georgiades, E. Parlis, and D. Koutsoyiannis, Water demand management and the Athens water supply, Proceedings of the 7th BNAWQ Scientific and Practical Conference "Water Quality Technologies and Management in Bulgaria", Sofia, 44–50, doi:10.13140/RG.2.1.3660.0561, Bulgarian National Association on Water Quality, 2002.
  61. R. E. Chandler, H. S. Wheater, V. S. Isham, C. Onof, S. M. Bate, P. J. Northrop, D. R. Cox, and D. Koutsoyiannis, Generation of spatially consistent rainfall data, Continuous river flow simulation: methods, applications and uncertainties, BHS Occasional Paper No. 13, 59–65, doi:10.13140/RG.2.1.2218.2642, British Hydrological Society, London, 2002.
  62. D. Koutsoyiannis, A. Efstratiadis, and G. Karavokiros, A decision support tool for the management of multi-reservoir systems, Proceedings of the Integrated Decision-Making for Watershed Management Symposium, Chevy Chase, Maryland, doi:10.13140/RG.2.1.3528.9848, US Environmental Protection Agency, Duke Power, Virginia Tech, 2001.
  63. D. Koutsoyiannis, N. Mamassis, and A. Christofides, Experience from the operation of the automatic telemetric meteorological station in the National Technical University, Proceedings of the 8th National Congress of the Greek Hydrotechnical Association, edited by G. Christodoulou, A. Stamou, and A. Nanou, Athens, 301–308, doi:10.13140/RG.2.1.4577.5603, Greek Hydrotechnical Association, 2000.
  64. A. Efstratiadis, N. Zervos, G. Karavokiros, and D. Koutsoyiannis, The Hydronomeas computational system and its application to the simulation of reservoir systems, Water resources management in sensitive regions of Greece, Proceedings of the 4th Conference, edited by G. Tsakiris, A. Stamou, and J. Mylopoulos, Volos, 36–43, doi:10.13140/RG.2.1.4053.2724, Greek Committee for the Water Resources Management, 1999.
  65. D. Zarris, D. Koutsoyiannis, and G. Karavokiros, A simple stochastic rainfall disaggregation scheme for urban drainage modelling, Proceedings of the 4th International Conference on Developments in Urban Drainage Modelling, edited by D. Butler and C. Maksimovic, London, 85–92, doi:10.13140/RG.2.1.3004.6969, International Association of Water Quality, International Association of Hydraulic Research, UNESCO, Imperial College, London, 1998.
  66. D. Koutsoyiannis, From the single hydraulic work to hydrosystem: The case of the hydrologic design of the Evinos works, Proceedings of the Hellenic Conference of the Civil Engineering Departments, Thessaloniki, 235–244, doi:10.13140/RG.2.1.2152.7280, Aristotle University of Thessaloniki, 1997.
  67. G. C. Koukis, and D. Koutsoyiannis, Greece, Geomorphological hazards in Europe, edited by C.&C. Embleton, 215–241, doi:10.1016/S0928-2025(97)80010-7, Elsevier, 1997.
  68. L. Lazaridis, G. Kalaouzis, D. Koutsoyiannis, and P. Marinos, Basic engineering and economic characteristics regarding water resources management of Thessaly, Proceedings of the International Conference on Water Resources Management, Larissa, doi:10.13140/RG.2.1.4512.0249, Technical Chamber of Greece, 1996.
  69. G. Tsakalias, and D. Koutsoyiannis, Hydrologic data management using RDBMS with Differential-Linear Data Storage, Hydraulic Engineering Software V: Proceedings of the 5th International Conference HYDROSOFT '94, edited by W. R. Blain and K. L. Katsifarakis, Sithonia, 2, 317–326, doi:10.13140/RG.2.1.2021.6565, Computational Mechanics Publications, Southampton, 1994.
  70. A. Sakellariou, D. Koutsoyiannis, and D. Tolikas, HYDROSCOPE: Experience from a distributed database system for hydrometeorological data, Hydraulic Engineering Software V: Proceedings of the 5th International Conference HYDROSOFT '94, edited by W. R. Blain and K. L. Katsifarakis, Sithonia, 2, 309–316, doi:10.13140/RG.2.1.1022.2325, Computational Mechanics Publications, Southampton, 1994.
  71. G. Tsakalias, and D. Koutsoyiannis, OPSIS: An intelligent tool for hydrologic data processing and visualisation, Proceedings of the 2nd European Conference on Advances in Water Resources Technology and Management, edited by G. Tsakiris and M. A. Santos, Lisbon, 45–50, doi:10.13140/RG.2.1.3070.2320, Balkema, Rotterdam, 1994.
  72. N. Papakostas, I. Nalbantis, and D. Koutsoyiannis, Modern computer technologies in hydrologic data management, Proceedings of the 2nd European Conference on Advances in Water Resources Technology and Management, edited by G. Tsakiris and M. A. Santos, Lisbon, 285–293, doi:10.13140/RG.2.1.4167.9604, Balkema, Rotterdam, 1994.
  73. N. Mamassis, et D. Koutsoyiannis, Structure stochastique de pluies intenses par type de temps, Publications de l'Association Internationale de Climatologie, 6eme Colloque International de Climatologie, edité par P. Maheras, Thessaloniki, 6, 301–313, doi:10.13140/RG.2.1.3643.6726, Association Internationale de Climatologie, Aix-en-Provence Cedex, France, 1993.
  74. I. Nalbantis, N. Mamassis, et D. Koutsoyiannis, Le phénomène recent de sécheresse persistante et l' alimentation en eau de la cité d' Athènes, Publications de l'Association Internationale de Climatologie, 6eme Colloque International de Climatologie, edité par P. Maheras, Thessaloniki, 6, 123–132, doi:10.13140/RG.2.1.4430.1041, Association Internationale de Climatologie, Aix-en-Provence Cedex, France, 1993.
  75. D. Tolikas, D. Koutsoyiannis, et Th. Xanthopoulos, HYDROSCOPE: Un systeme d'informations pour l'etude des phenomenes hydroclimatiques en Grece, Publications de l'Association Internationale de Climatologie, 6eme Colloque International de Climatologie, edité par P. Maheras, Thessaloniki, 6, 673–682, doi:10.13140/RG.2.1.2857.2409, Association Internationale de Climatologie, Aix-en-Provence Cedex, France, 1993.
  76. D. Koutsoyiannis, C. Tsolakidis, and N. Mamassis, HYDRA-PC, A data base system for regional hydrological data management, Proceedings of the 1st European Conference on Advances in Water Resources Technology, Athens, 551–557, doi:10.13140/RG.2.1.4954.3921, Balkema, Rotterdam, 1991.

Conference publications and presentations with evaluation of abstract

  1. T. Iliopoulou, and D. Koutsoyiannis, Investigating links between Long-Range Dependence in mean rainfall and clustering of extreme rainfall, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, EGU2017-9890-1, doi:10.13140/RG.2.2.25992.21763, European Geosciences Union, 2017.
  2. H. Tyralis, P. Dimitriadis, T. Iliopoulou, K. Tzouka, and D. Koutsoyiannis, Dependence of long-term persistence properties of precipitation on spatial and regional characteristics, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, EGU2017-3711, doi:10.13140/RG.2.2.13252.83840/1, European Geosciences Union, 2017.
  3. G. Papacharalampous, H. Tyralis, and D. Koutsoyiannis, Investigation of the effect of the hyperparameter optimization and the time lag selection in time series forecasting using machine learning algorithms, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, GU2017-3072-1, European Geosciences Union, 2017.
  4. G. Papacharalampous, H. Tyralis, and D. Koutsoyiannis, Multi-step ahead streamflow forecasting for the operation of hydropower reservoirs, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, EGU2017-3069, European Geosciences Union, 2017.
  5. G. Papacharalampous, H. Tyralis, and D. Koutsoyiannis, Comparison between stochastic and machine learning methods for hydrological multi-step ahead forecasting: All forecasts are wrong!, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, GU2017-3068-2, European Geosciences Union, 2017.
  6. V. Daniil, G. Pouliasis, E. Zacharopoulou, E. Demetriou, G. Manou, M. Chalakatevaki, I. Parara, C. Georganta, P. Stamou, S. Karali, E. Hadjimitsis, G. Koudouris, E. Moschos, D. Roussis, K. Papoulakos, A. Koskinas, G. Pollakis, N. Gournari, K. Sakellari, Y. Moustakis, N. Mamassis, A. Efstratiadis, H. Tyralis, P. Dimitriadis, T. Iliopoulou, G. Karakatsanis, K. Tzouka, E. Deligiannis, V. Tsoukala, P. Papanicolaou, and D. Koutsoyiannis, The uncertainty of atmospheric processes in planning a hybrid renewable energy system for a non-connected island, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, EGU2017-16781-4, doi:10.13140/RG.2.2.29610.62406, European Geosciences Union, 2017.
  7. P. Stamou, S. Karali, M. Chalakatevaki, V. Daniil, K. Tzouka, P. Dimitriadis, T. Iliopoulou, P. Papanicolaou, D. Koutsoyiannis, and N. Mamassis, Creating the electric energy mix of a non-connected Aegean island, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, EGU2017-10130-10, doi:10.13140/RG.2.2.36537.77927, European Geosciences Union, 2017.
  8. E. Hadjimitsis, E. Demetriou, K. Sakellari, H. Tyralis, P. Dimitriadis, T. Iliopoulou, and D. Koutsoyiannis, Investigation of the stochastic nature of temperature and humidity for energy management, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, EGU2017-10164-5, European Geosciences Union, 2017.
  9. G. Koudouris, P. Dimitriadis, T. Iliopoulou, N. Mamassis, and D. Koutsoyiannis, Investigation of the stochastic nature of solar radiation for renewable resources management, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, EGU2017-10189-4, doi:10.13140/RG.2.2.16215.06564, European Geosciences Union, 2017.
  10. E. Moschos, G. Manou, C. Georganta, P. Dimitriadis, T. Iliopoulou, H. Tyralis, D. Koutsoyiannis, and V. Tsoukala, Investigation of the stochastic nature of wave processes for renewable resources management: a pilot application in a remote island in the Aegean sea, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, EGU2017-10225-3, doi:10.13140/RG.2.2.30226.66245, European Geosciences Union, 2017.
  11. A. Koskinas, E. Zacharopoulou, G. Pouliasis, I. Engonopoulos, K. Mavroyeoryos, E. Deligiannis, G. Karakatsanis, P. Dimitriadis, T. Iliopoulou, D. Koutsoyiannis, and H. Tyralis, Simulation of electricity demand in a remote island for optimal planning of a hybrid renewable energy system, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, EGU2017-10495-4, doi:10.13140/RG.2.2.10529.81767, European Geosciences Union, 2017.
  12. D. Roussis, I. Parara, N. Gournari, Y. Moustakis, P. Dimitriadis, T. Iliopoulou, D. Koutsoyiannis, and G. Karakatsanis, Energy, variability and weather finance engineering, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, EGU2017-16919, European Geosciences Union, 2017.
  13. K. Papoulakos, G. Pollakis, Y. Moustakis, A. Markopoulos, T. Iliopoulou, P. Dimitriadis, D. Koutsoyiannis, and A. Efstratiadis, Simulation of water-energy fluxes through small-scale reservoir systems under limited data availability, European Geosciences Union General Assembly 2017, Geophysical Research Abstracts, Vol. 19, Vienna, 19, EGU2017-10334-4, European Geosciences Union, 2017.
  14. E. Lerias, A. Kalamioti, P. Dimitriadis, Y. Markonis, T. Iliopoulou, and D. Koutsoyiannis, Stochastic investigation of temperature process for climatic variability identification, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016-14828-3, European Geosciences Union, 2016.
  15. E. Deligiannis, V. Tyrogiannis, Ο. Daskalou, P. Dimitriadis, Y. Markonis, T. Iliopoulou, and D. Koutsoyiannis, Stochastic investigation of wind process for climatic variability identification, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016-14946-6, doi:10.13140/RG.2.2.26681.36969, European Geosciences Union, 2016.
  16. A. Sotiriadou, A. Petsiou, E. Feloni, P. Kastis, T. Iliopoulou, Y. Markonis, H. Tyralis, P. Dimitriadis, and D. Koutsoyiannis, Stochastic investigation of precipitation process for climatic variability identification, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016-15137-5, doi:10.13140/RG.2.2.28955.46881, European Geosciences Union, 2016.
  17. P. Dimitriadis, N. Gournari, and D. Koutsoyiannis, Markov vs. Hurst-Kolmogorov behaviour identification in hydroclimatic processes, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016-14577-4, doi:10.13140/RG.2.2.21019.05927, European Geosciences Union, 2016.
  18. Y. Markonis, C. Nasika, Y. Moustakis, A. Markopoulos, P. Dimitriadis, and D. Koutsoyiannis, Global investigation of Hurst-Kolmogorov behaviour in river runoff, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016-17491, doi:10.13140/RG.2.2.16331.59684, European Geosciences Union, 2016.
  19. D. Koutsoyiannis, F. Lombardo, P. Dimitriadis, Y. Markonis, and S. Stevens, From fractals to stochastics: seeking theoretical consistency in analysis of geophysical data, 30 Years of Nonlinear Dynamics in Geosciences, Rhodes, Greece, doi:10.13140/RG.2.2.34215.55209, 2016.
  20. D. Koutsoyiannis, and P. Dimitriadis, From time series to stochastics: A theoretical framework with applications on time scales spanning from microseconds to megayears, Orlob Second International Symposium on Theoretical Hydrology, Davis, California, USA, doi:10.13140/RG.2.2.14082.89284, University California Davis, 2016.
  21. D. Koutsoyiannis, The unavoidable uncertainty of renewable energy and its management, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016–18430, doi:10.13140/RG.2.2.36312.70400, European Geosciences Union, 2016.
  22. Ο. Daskalou, M. Karanastasi, Y. Markonis, P. Dimitriadis, A. Koukouvinos, A. Efstratiadis, and D. Koutsoyiannis, GIS-based approach for optimal siting and sizing of renewables considering techno-environmental constraints and the stochastic nature of meteorological inputs, European Geosciences Union General Assembly 2016, Geophysical Research Abstracts, Vol. 18, Vienna, EGU2016-12044-1, doi:10.13140/RG.2.2.19535.48803, European Geosciences Union, 2016.
  23. C. Pappas, M. Mahecha, D. Frank, and D. Koutsoyiannis, New insights on the variability of ecosystem functioning across time scales, AGU 2015 Fall Meeting, San Francisco, USA, doi:10.13140/RG.2.2.24568.65280, American Geophysical Union, 2015.
  24. E. Volpi, A. Fiori, S. Grimaldi, F. Lombardo, and D. Koutsoyiannis, Return period for time-dependent processes, STAHY’15 Workshop, doi:10.13140/RG.2.2.22052.07044, International Association of Hydrological Sciences, Addis Ababa, Ethiopia, 2015.
  25. N. Malamos, A. Tegos, I. L. Tsirogiannis, A. Christofides, and D. Koutsoyiannis, Implementation of a regional parametric model for potential evapotranspiration assessment, IrriMed 2015 – Modern technologies, strategies and tools for sustainable irrigation management and governance in Mediterranean agriculture, Bari, doi:10.13140/RG.2.1.3992.0725, 2015.
  26. D. Koutsoyiannis, and N. Mamassis, The water supply of Athens through the centuries, 16th conference Cura Aquarum, Athens, doi:10.13140/RG.2.2.24516.22400/1, German Water History Association, German Archaeological Institute in Athens, 2015.
  27. P. Dimitriadis, L. Lappas, Ο. Daskalou, A. M. Filippidou, M. Giannakou, Ε. Gkova, R. Ioannidis, Α. Polydera, Ε. Polymerou, Ε. Psarrou, A. Vyrini, S.M. Papalexiou, and D. Koutsoyiannis, Application of stochastic methods for wind speed forecasting and wind turbines design at the area of Thessaly, Greece, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-13810, doi:10.13140/RG.2.2.25355.08486, European Geosciences Union, 2015.
  28. Y. Markonis, T. Dimoulas, A. Atalioti, C. Konstantinou, A. Kontini, Μ.-Ι. Pipini, E. Skarlatou, V. Sarantopoulos, K. Tzouka, S.M. Papalexiou, and D. Koutsoyiannis, Comparison between satellite and instrumental solar irradiance data at the city of Athens, Greece, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-5719, doi:10.13140/RG.2.2.12274.09920, European Geosciences Union, 2015.
  29. D. Koutsoyiannis, Parsimonious entropy-based stochastic modelling for changing hydroclimatic processes, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-4461, doi:10.13140/RG.2.2.13951.82089, European Geosciences Union, 2015.
  30. D. Koutsoyiannis, and A. Montanari, Climate is changing, everything is flowing, stationarity is immortal, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-4411-2, doi:10.13140/RG.2.2.10596.37762, European Geosciences Union, 2015.
  31. E. Rozos, A. D. Koussis, and D. Koutsoyiannis, Efficient discretization in finite difference method, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-9608, doi:10.13140/RG.2.1.3140.1044, European Geosciences Union, 2015.
  32. P. Kossieris, A. Efstratiadis, I. Tsoukalas, and D. Koutsoyiannis, Assessing the performance of Bartlett-Lewis model on the simulation of Athens rainfall, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-8983, doi:10.13140/RG.2.2.14371.25120, European Geosciences Union, 2015.
  33. A. Koukouvinos, D. Nikolopoulos, A. Efstratiadis, A. Tegos, E. Rozos, S.M. Papalexiou, P. Dimitriadis, Y. Markonis, P. Kossieris, H. Tyralis, G. Karakatsanis, K. Tzouka, A. Christofides, G. Karavokiros, A. Siskos, N. Mamassis, and D. Koutsoyiannis, Integrated water and renewable energy management: the Acheloos-Peneios region case study, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-4912, doi:10.13140/RG.2.2.17726.69440, European Geosciences Union, 2015.
  34. A. Efstratiadis, I. Tsoukalas, P. Kossieris, G. Karavokiros, A. Christofides, A. Siskos, N. Mamassis, and D. Koutsoyiannis, Computational issues in complex water-energy optimization problems: Time scales, parameterizations, objectives and algorithms, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-5121, doi:10.13140/RG.2.2.11015.80802, European Geosciences Union, 2015.
  35. A. Zarkadoulas, K. Mantesi, A. Efstratiadis, A. D. Koussis, K. Mazi, D. Katsanos, A. Koukouvinos, and D. Koutsoyiannis, A hydrometeorological forecasting approach for basins with complex flow regime, European Geosciences Union General Assembly 2015, Geophysical Research Abstracts, Vol. 17, Vienna, EGU2015-3904, doi:10.13140/RG.2.2.21920.99842, European Geosciences Union, 2015.
  36. A. Tegos, A. Efstratiadis, N. Malamos, N. Mamassis, and D. Koutsoyiannis, Evaluation of a parametric approach for estimating potential evapotranspiration across different climates, IRLA2014 – The Effects of Irrigation and Drainage on Rural and Urban Landscapes, Patras, doi:10.13140/RG.2.2.14004.24966, 2014.
  37. D. Koutsoyiannis, Random musings on stochastics (Lorenz Lecture), AGU 2014 Fall Meeting, San Francisco, USA, doi:10.13140/RG.2.1.2852.8804, American Geophysical Union, 2014.
  38. D. Koutsoyiannis, and A. Montanari, Risks from dismissing stationarity, AGU 2014 Fall Meeting, San Francisco, USA, doi:10.13140/RG.2.2.36234.06084, American Geophysical Union, 2014.
  39. F. Lombardo, E. Volpi, and D. Koutsoyiannis, Temporal disaggregation of rainfall, IDRA 2014 – XXXIV Conference of Hydraulics and Hydraulic Engineering, Bari, Italy, doi:10.13140/RG.2.2.32878.61768, 2014.
  40. I. Koukas, V. Koukoravas, K. Mantesi, K. Sakellari, T.-D. Xanthopoulou, A. Zarkadoulas, Y. Markonis, S.M. Papalexiou, and D. Koutsoyiannis, Statistical properties and Hurst-Kolmogorov dynamics in climatic proxy data and temperature reconstructions, European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-9290-2, doi:10.13140/RG.2.2.21134.56644, European Geosciences Union, 2014.
  41. Y. Dimakos, E. C. Moschou, S. C. Batelis, Y. Markonis, and D. Koutsoyiannis, Monthly rainfall trends in Greece (1950 - 2012), European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-8289, doi:10.13140/RG.2.2.14594.07367, European Geosciences Union, 2014.
  42. I. Pappa, Y. Dimakos, P. Dimas, P. Kossieris, P. Dimitriadis, and D. Koutsoyiannis, Spatial and temporal variability of wind speed and energy over Greece, European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-13591, doi:10.13140/RG.2.2.11238.63048, European Geosciences Union, 2014.
  43. G. Karakatsanis, N. Mamassis, D. Koutsoyiannis, and A. Efstratiadis, Entropy, pricing and macroeconomics of pumped-storage systems, European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-15858-6, European Geosciences Union, 2014.
  44. P. Dimas, D. Bouziotas, A. Efstratiadis, and D. Koutsoyiannis, A holistic approach towards optimal planning of hybrid renewable energy systems: Combining hydroelectric and wind energy, European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-5851, doi:10.13140/RG.2.2.28854.70723, European Geosciences Union, 2014.
  45. D. Koutsoyiannis, Hydrology, society, change and uncertainty (invited talk), European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-4243, doi:10.13140/RG.2.2.15432.93441, European Geosciences Union, 2014.
  46. A. M. Filippidou, A. Andrianopoulos, C. Argyrakis, L. E. Chomata, V. Dagalaki, X. Grigoris, T. S. Kokkoris, M. Nasioka, K. A. Papazoglou, S.M. Papalexiou, H. Tyralis, and D. Koutsoyiannis, Comparison of climate time series produced by General Circulation Models and by observed data on a global scale, European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vol. 16, Vienna, EGU2014-8529, doi:10.13140/RG.2.2.33887.87200, European Geosciences Union, 2014.
  47. D. Koutsoyiannis, Glimpsing God playing dice over water and climate, Lectio Inauguralis, Bogotá, Colombia, doi:10.13140/RG.2.2.13755.21282, Pontificia Universidad Javeriana, 2014.
  48. T.A. Cohn, D. Koutsoyiannis, H. F. Lins, and A. Montanari, If I had not believed it, I would not have seen it (Contribution to the Round Table for Harold Edwin Hurst), Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.17110.65609, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  49. F. Lombardo, E. Volpi, and D. Koutsoyiannis, How to parsimoniously disaggregate rainfall in time, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.11448.34560, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  50. P. Dimitriadis, D. Koutsoyiannis, and C. Onof, N-Dimensional generalized Hurst-Kolmogorov process and its application to wind fields, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.15642.64963, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  51. H. Tyralis, and D. Koutsoyiannis, Simultaneous use of observations and deterministic model outputs to forecast persistent stochastic processes, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.1.3230.4889, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  52. E. Rozos, and D. Koutsoyiannis, Assessing the error of geometry-based discretizations in groundwater modelling, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.17320.37120, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  53. V.K. Vasilaki, S. Curceac, S.M. Papalexiou, and D. Koutsoyiannis, Geophysical time series vs. financial time series of agricultural products: Similarities and differences, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.36194.73922, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  54. C. Pappas, S.M. Papalexiou, and D. Koutsoyiannis, A quick gap-filling of missing hydrometeorological data, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.22772.96641, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  55. P. Dimitriadis, D. Koutsoyiannis, and P. Papanicolaou, Climacogram-based modelling of isotropic turbulence, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  56. P. Dimitriadis, K. Tzouka, and D. Koutsoyiannis, Windows of predictability in dice motion, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.19417.52322, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  57. T. Tsitseli, D. Koutsoyiannis, A. Koukouvinos, and N. Mamassis, Construction of ombrian curves using the Hydrognomon software system, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.34517.01762, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  58. E. C. Moschou, S. C. Batelis, Y. Dimakos, I. Fountoulakis, Y. Markonis, S.M. Papalexiou, N. Mamassis, and D. Koutsoyiannis, Spatial and temporal rainfall variability over Greece, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.19102.95045, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  59. N. Bountas, N. Boboti, E. Feloni, L. Zeikos, Y. Markonis, A. Tegos, N. Mamassis, and D. Koutsoyiannis, Temperature variability over Greece: Links between space and time, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.17739.80164, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  60. Y. Markonis, A. Efstratiadis, A. Koukouvinos, N. Mamassis, and D. Koutsoyiannis, Investigation of drought characteristics in different temporal and spatial scales: A case study in the Mediterranean region , Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  61. G. Karakatsanis, N. Mamassis, D. Koutsoyiannis, and A. Efstratiadis, Entropy and reliability of water use via a statistical approach of scarcity, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.24450.68809, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  62. P. Kossieris, A. Efstratiadis, and D. Koutsoyiannis, Coupling the strengths of optimization and simulation for calibrating Poisson cluster models, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.15223.21929, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  63. P. Kossieris, A. Efstratiadis, and D. Koutsoyiannis, The use of stochastic objective functions in water resource optimization problems, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.18578.66249, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  64. P. Dimas, D. Bouziotas, A. Efstratiadis, and D. Koutsoyiannis, A stochastic simulation framework for planning and management of combined hydropower and wind energy systems , Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.27491.55841, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  65. E. Michaelidi, T. Mastrotheodoros, A. Efstratiadis, A. Koukouvinos, and D. Koutsoyiannis, Flood modelling in river basins with highly variable runoff, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.30847.00167, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  66. A. Efstratiadis, A. Koukouvinos, P. Dimitriadis, A. Tegos, N. Mamassis, and D. Koutsoyiannis, A stochastic simulation framework for flood engineering, Facets of Uncertainty: 5th EGU Leonardo Conference – Hydrofractals 2013 – STAHY 2013, Kos Island, Greece, doi:10.13140/RG.2.2.16848.51201, European Geosciences Union, International Association of Hydrological Sciences, International Union of Geodesy and Geophysics, 2013.
  67. F. Lombardo, E. Volpi, and D. Koutsoyiannis, Effect of time discretization and finite record length on continuous-time stochastic properties, IAHS - IAPSO - IASPEI Joint Assembly, Gothenburg, Sweden, doi:10.13140/RG.2.2.29955.71206, International Association of Hydrological Sciences, International Association for the Physical Sciences of the Oceans, International Association of Seismology and Physics of the Earth's Interior, 2013.
  68. A. Efstratiadis, I. Nalbantis, and D. Koutsoyiannis, Hydrological modelling in presence of non-stationarity induced by urbanisation: an assessment of the value of information, “Knowledge for the future”, IAHS - IAPSO – IASPEI Joint Assembly 2013, Gothenburg, doi:10.13140/RG.2.2.13178.49607, International Association of Hydrological Sciences, 2013.
  69. D. Koutsoyiannis, Entropy: from thermodynamics to hydrology (invited talk), Orlob First International Symposium on Theoretical Hydrology, Davis, California, USA, doi:10.13140/RG.2.2.28277.99048, University California Davis, 2013.
  70. D. Koutsoyiannis, In defence of stationarity (invited talk), IAHS - IAPSO - IASPEI Joint Assembly, Gothenburg, Sweden, doi:10.13140/RG.2.2.18211.66083, International Association of Hydrological Sciences, International Association for the Physical Sciences of the Oceans, International Association of Seismology and Physics of the Earth's Interior, 2013.
  71. A. Oikonomou, P. Dimitriadis, A. Koukouvinos, A. Tegos, V. Pagana, P. Panagopoulos, N. Mamassis, and D. Koutsoyiannis, Floodplain mapping via 1D and quasi-2D numerical models in the valley of Thessaly, Greece, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-10366, doi:10.13140/RG.2.2.25165.03040, European Geosciences Union, 2013.
  72. T. Iliopoulou, S.M. Papalexiou, and D. Koutsoyiannis, Assessment of the dependence structure of the annual rainfall using a large data set, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-5276, doi:10.13140/RG.2.2.13080.19202, European Geosciences Union, 2013.
  73. S. Nerantzaki, S.M. Papalexiou, and D. Koutsoyiannis, Extreme rainfall distribution tails: Exponential, subexponential or hyperexponential?, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-5149, doi:10.13140/RG.2.2.29857.40803, European Geosciences Union, 2013.
  74. A. Mystegniotis, V. Vasilaki, I. Pappa, S. Curceac, D. Saltouridou, N. Efthimiou, G. Papatsoutsos, S.M. Papalexiou, and D. Koutsoyiannis, Clustering of extreme events in typical stochastic models, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-4599, doi:10.13140/RG.2.2.10353.89449, European Geosciences Union, 2013.
  75. E. Anagnostopoulou, A. Galani, P. Dimas, A. Karanasios, T. Mastrotheodoros, E. Michaelidi, D. Nikolopoulos, S. Pontikos, F. Sourla, A. Chazapi, S.M. Papalexiou, and D. Koutsoyiannis, Record breaking properties for typical autocorrelation structures, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-4520, doi:10.13140/RG.2.2.20420.22400, European Geosciences Union, 2013.
  76. D. Koutsoyiannis, Climacogram-based pseudospectrum: a simple tool to assess scaling properties, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-4209, doi:10.13140/RG.2.2.18506.57284, European Geosciences Union, 2013.
  77. G. Tsekouras, C. Ioannou, A. Efstratiadis, and D. Koutsoyiannis, Stochastic analysis and simulation of hydrometeorological processes for optimizing hybrid renewable energy systems, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-11660, doi:10.13140/RG.2.2.30250.62404, European Geosciences Union, 2013.
  78. A. Venediki, S. Giannoulis, C. Ioannou, L. Malatesta, G. Theodoropoulos, G. Tsekouras, Y. Dialynas, S.M. Papalexiou, A. Efstratiadis, and D. Koutsoyiannis, The Castalia stochastic generator and its applications to multivariate disaggregation of hydro-meteorological processes, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-11542, doi:10.13140/RG.2.2.15675.41764, European Geosciences Union, 2013.
  79. Y. Markonis, S.M. Papalexiou, and D. Koutsoyiannis, The role of teleconnections in extreme (high and low) precipitation events: The case of the Mediterranean region, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-5368, doi:10.13140/RG.2.2.10642.25286, European Geosciences Union, 2013.
  80. E. Rozos, and D. Koutsoyiannis, Studying solute transport using parsimonious groundwater modelling, European Geosciences Union General Assembly 2013, Geophysical Research Abstracts, Vol. 15, Vienna, EGU2013-2225, doi:10.13140/RG.2.2.29516.62087, European Geosciences Union, Vienna, Austria, 2013.
  81. F. Lombardo, E. Volpi, S.M. Papalexiou, and D. Koutsoyiannis, Multifractal downscaling models: a crash test, 3rd STAHY International Workshop on Statistical Methods for Hydrology and Water Resources Management, Tunis, Tunisia, doi:10.13140/RG.2.2.32872.06404, International Association of Hydrological Sciences, 2012.
  82. P. Dimitriadis, D. Koutsoyiannis, and Y. Markonis, Spectrum vs Climacogram, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, EGU2012-993, doi:10.13140/RG.2.2.27838.89920, European Geosciences Union, 2012.
  83. D. Koutsoyiannis, and A. Efstratiadis, The necessity for large-scale hybrid renewable energy systems, Hydrology and Society, EGU Leonardo Topical Conference Series on the hydrological cycle 2012, Torino, doi:10.13140/RG.2.2.30355.48161, European Geosciences Union, 2012.
  84. A. Efstratiadis, D. Bouziotas, and D. Koutsoyiannis, The parameterization-simulation-optimization framework for the management of hydroelectric reservoir systems, Hydrology and Society, EGU Leonardo Topical Conference Series on the hydrological cycle 2012, Torino, doi:10.13140/RG.2.2.36437.22243, European Geosciences Union, 2012.
  85. A. Efstratiadis, A. D. Koussis, D. Koutsoyiannis, N. Mamassis, and S. Lykoudis, Flood design recipes vs. reality: Can predictions for ungauged basins be trusted? – A perspective from Greece, Advanced methods for flood estimation in a variable and changing environment, Volos, doi:10.13140/RG.2.2.19660.00644, University of Thessaly, 2012.
  86. D. Koutsoyiannis, From deterministic heterogeneity to stochastic homogeneity, IAHS 90th Anniversary – PUB Symposium 2012, Delft, The Netherlands, doi:10.13140/RG.2.2.34759.50085, International Association of Hydrological Sciences, 2012.
  87. D. Koutsoyiannis, Vít Klemeš: Lessons of vitality, 3rd STAHY International Workshop on Statistical Methods for Hydrology and Water Resources Management, Tunis, Tunisia, doi:10.13140/RG.2.2.25532.03204, International Association of Hydrological Sciences, 2012.
  88. Y. Markonis, P. Kossieris, A. Lykou, and D. Koutsoyiannis, Effects of Medieval Warm Period and Little Ice Age on the hydrology of Mediterranean region, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 12181, doi:10.13140/RG.2.2.30565.19683, European Geosciences Union, 2012.
  89. E. Steirou, and D. Koutsoyiannis, Investigation of methods for hydroclimatic data homogenization, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 956-1, doi:10.13140/RG.2.2.23854.31046, European Geosciences Union, 2012.
  90. S. Giannoulis, C. Ioannou, E. Karantinos, L. Malatesta, G. Theodoropoulos, G. Tsekouras, A. Venediki, P. Dimitriadis, S.M. Papalexiou, and D. Koutsoyiannis, Long term properties of monthly atmospheric pressure fields, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 4680, doi:10.13140/RG.2.2.36017.79201, European Geosciences Union, 2012.
  91. S.M. Papalexiou, and D. Koutsoyiannis, A global survey on the distribution of annual maxima of daily rainfall: Gumbel or Fréchet?, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 10563, doi:10.13140/RG.2.2.29306.90566, European Geosciences Union, 2012.
  92. E. Houdalaki, M. Basta, N. Boboti, N. Bountas, E. Dodoula, T. Iliopoulou, S. Ioannidou, K. Kassas, S. Nerantzaki, E. Papatriantafyllou, K. Tettas, D. Tsirantonaki, S.M. Papalexiou, and D. Koutsoyiannis, On statistical biases and their common neglect, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 4388, doi:10.13140/RG.2.2.25951.46248, European Geosciences Union, 2012.
  93. H. Tyralis, and D. Koutsoyiannis, A Bayesian approach to hydroclimatic prognosis using the Hurst-Kolmogorov stochastic process, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, doi:10.13140/RG.2.2.24273.74089, European Geosciences Union, 2012.
  94. S. Kozanis, A. Christofides, A. Efstratiadis, A. Koukouvinos, G. Karavokiros, N. Mamassis, D. Koutsoyiannis, and D. Nikolopoulos, Using open source software for the supervision and management of the water resources system of Athens, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 7158, doi:10.13140/RG.2.2.28468.04482, European Geosciences Union, 2012.
  95. P. Kossieris, D. Koutsoyiannis, C. Onof, H. Tyralis, and A. Efstratiadis, HyetosR: An R package for temporal stochastic simulation of rainfall at fine time scales, European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 11718, European Geosciences Union, 2012.
  96. D. Koutsoyiannis, A Monte Carlo approach to water management (solicited), European Geosciences Union General Assembly 2012, Geophysical Research Abstracts, Vol. 14, Vienna, 3509, doi:10.13140/RG.2.2.20079.43687, European Geosciences Union, 2012.
  97. P. Dimitriadis, P. Papanicolaou, and D. Koutsoyiannis, Hurst-Kolmogorov dynamics applied to temperature fields for small turbulence scales, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-772, doi:10.13140/RG.2.2.22137.26724, European Geosciences Union, 2011.
  98. P. Dimitriadis, D. Koutsoyiannis, C. Onof, and K. Tzouka, Multidimensional Hurst-Kolmogorov process for modelling temperature and rainfall fields, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-739, doi:10.13140/RG.2.2.12070.93761, European Geosciences Union, 2011.
  99. Y. Dialynas, S. Kozanis, and D. Koutsoyiannis, A computer system for the stochastic disaggregation of monthly into daily hydrological time series as part of a three–level multivariate scheme, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-290, doi:10.13140/RG.2.2.23814.98885, European Geosciences Union, 2011.
  100. D. Koutsoyiannis, A hymn to entropy (Invited talk), IUGG 2011, Melbourne, doi:10.13140/RG.2.2.36607.61601, International Union of Geodesy and Geophysics, 2011.
  101. D. Koutsoyiannis, Hydrology and Change (Plenary lecture), IUGG 2011, Melbourne, doi:10.13140/RG.2.1.3685.6568, International Union of Geodesy and Geophysics, 2011.
  102. G. Di Baldassarre, A. Montanari, H. F. Lins, D. Koutsoyiannis, L. Brandimarte, and G. Blöschl, Increasing flood risk in Africa: a climate signal?, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-5634-1, doi:10.13140/RG.2.2.26541.28648, European Geosciences Union, 2011.
  103. F. Lombardo, E. Volpi, and D. Koutsoyiannis, Theoretical and empirical comparison of stochastic disaggregation and downscaling approaches for rainfall time series, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-854-1, doi:10.13140/RG.2.2.31574.45124, European Geosciences Union, 2011.
  104. D. Tsaknias, D. Bouziotas, A. Christofides, A. Efstratiadis, and D. Koutsoyiannis, Statistical comparison of observed temperature and rainfall extremes with climate model outputs, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-3454, doi:10.13140/RG.2.2.15321.52322, European Geosciences Union, 2011.
  105. A. Christofides, and D. Koutsoyiannis, Causality in climate and hydrology, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-7440, doi:10.13140/RG.2.2.33776.46082, European Geosciences Union, 2011.
  106. S.M. Papalexiou, and D. Koutsoyiannis, A worldwide probabilistic analysis of rainfall at multiple timescales based on entropy maximization, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-11557, doi:10.13140/RG.2.2.20354.68800, European Geosciences Union, 2011.
  107. D. Bouziotas, G. Deskos, N. Mastrantonas, D. Tsaknias, G. Vangelidis, S.M. Papalexiou, and D. Koutsoyiannis, Long-term properties of annual maximum daily river discharge worldwide, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-1439, doi:10.13140/RG.2.2.13643.80164, European Geosciences Union, 2011.
  108. S.M. Papalexiou, and D. Koutsoyiannis, Entropy maximization, p-moments and power-type distributions in nature, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-6884, doi:10.13140/RG.2.2.16999.24484, European Geosciences Union, 2011.
  109. Y. Markonis, and D. Koutsoyiannis, Hurst-Kolmogorov dynamics in long climatic proxy records, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-13700, doi:10.13140/RG.2.2.23080.98565, European Geosciences Union, 2011.
  110. D. Koutsoyiannis, S. Kozanis, and H. Tyralis, A general Monte Carlo method for the construction of confidence intervals for a function of probability distribution parameters, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-1489, doi:10.13140/RG.2.2.33147.31527, European Geosciences Union, 2011.
  111. S.M. Papalexiou, E. Kallitsi, E. Steirou, M. Xirouchakis, A. Drosou, V. Mathios, H. Adraktas-Rentis, I. Kyprianou, M.-A. Vasilaki, and D. Koutsoyiannis, Long-term properties of annual maximum daily rainfall worldwide, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-1444, doi:10.13140/RG.2.2.13014.65600, European Geosciences Union, 2011.
  112. E. Rozos, and D. Koutsoyiannis, Benefits from using Kalman filter in forward and inverse groundwater modelling, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-2212, doi:10.13140/RG.2.2.28114.15040, European Geosciences Union, 2011.
  113. A. Montanari, and D. Koutsoyiannis, Stochastic physically-based modelling in hydrology: towards a synthesis of different approaches for a new target, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-11775, doi:10.13140/RG.2.2.35663.89763, European Geosciences Union, 2011.
  114. D. Koutsoyiannis, and S.M. Papalexiou, Scaling as enhanced uncertainty, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, EGU2011-1305, doi:10.13140/RG.2.2.15531.23844, European Geosciences Union, 2011.
  115. A. Montanari, and D. Koutsoyiannis, Is deterministic physically-based hydrological modeling a feasible target? Incorporating physical knowledge in stochastic modeling of uncertain systems, American Geophysical Union, Fall Meeting 2010, San Francisco, USA, doi:10.13140/RG.2.2.18886.68164, American Geophysical Union, 2010.
  116. D. Koutsoyiannis, Scale of water resources development and sustainability: Small is beautiful, large is great (Invited), LATSIS Symposium 2010: Ecohydrology, Lausanne, doi:10.13140/RG.2.2.20564.40320, Ecole Polytechnique Federale de Lausanne, 2010.
  117. S.M. Papalexiou, and D. Koutsoyiannis, A world-wide investigation of the probability distribution of daily rainfall, International Precipitation Conference (IPC10), Coimbra, Portugal, doi:10.13140/RG.2.2.15950.66888, 2010.
  118. D. Koutsoyiannis, A note of caution for consistency checking and correcting methods of point precipitation records, International Precipitation Conference (IPC10), Coimbra, Portugal, doi:10.13140/RG.2.2.34667.75044, 2010.
  119. Y. Markonis, D. Koutsoyiannis, and N. Mamassis, Orbital climate theory and Hurst-Kolmogorov dynamics, 11th International Meeting on Statistical Climatology, Edinburgh, doi:10.13140/RG.2.2.31312.30724, International Meetings on Statistical Climatology, University of Edinburgh, 2010.
  120. D. Koutsoyiannis, Memory in climate and things not to be forgotten (Invited talk), 11th International Meeting on Statistical Climatology, Edinburgh, doi:10.13140/RG.2.2.17890.53445, International Meetings on Statistical Climatology, University of Edinburgh, 2010.
  121. D. Koutsoyiannis, Some methodological issues in water resources management in the light of contemporary knowledge and needs, Rational Management of Water Basins: Towards Sustainable Development of Westen Greece, Patra, doi:10.13140/RG.2.2.35506.61127, University of Patra, Technical Chamber of Greece, 2010.
  122. S.M. Papalexiou, D. Koutsoyiannis, and A. Montanari, Mind the bias!, STAHY Official Workshop: Advances in statistical hydrology, Taormina, Italy, doi:10.13140/RG.2.2.12018.50883, International Association of Hydrological Sciences, 2010.
  123. H. Tyralis, and D. Koutsoyiannis, Performance evaluation and interdependence of parameter estimators of the Hurst-Kolmogorov stochastic process, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, EGU2010-10476, doi:10.13140/RG.2.2.27118.00322, European Geosciences Union, 2010.
  124. Y. Dialynas, P. Kossieris, K. Kyriakidis, A. Lykou, Y. Markonis, C. Pappas, S.M. Papalexiou, and D. Koutsoyiannis, Optimal infilling of missing values in hydrometeorological time series, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, EGU2010-9702, doi:10.13140/RG.2.2.23762.56005, European Geosciences Union, 2010.
  125. Y. Markonis, and D. Koutsoyiannis, Hurst-Kolmogorov dynamics in paleoclimate reconstructions, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, EGU2010-14816, doi:10.13140/RG.2.2.36555.18724, European Geosciences Union, 2010.
  126. P. Dimitriadis, D. Koutsoyiannis, and A. Paschalis, Three dimensional Hurst-Kolmogorov process for modelling rainfall fields, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, EGU2010-979-1, doi:10.13140/RG.2.2.29844.30088, European Geosciences Union, 2010.
  127. S.M. Papalexiou, and D. Koutsoyiannis, On the tail of the daily rainfall probability distribution: Exponential-type, power-type or something else?, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, EGU2010-11769-1, doi:10.13140/RG.2.2.36660.04489, European Geosciences Union, 2010.
  128. E. Rozos, and D. Koutsoyiannis, Use of Modflow as an interpolation method, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, 12, 10184, doi:10.13140/RG.2.2.29949.15845, European Geosciences Union, 2010.
  129. D. Koutsoyiannis, Why (and how) to write and publish a scientific paper in hydrology? (Invited lecture), European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, European Geosciences Union, 2010.
  130. D. Koutsoyiannis, Some problems in inference from time series of geophysical processes (solicited), European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, EGU2010-14229, doi:10.13140/RG.2.2.13171.94244, European Geosciences Union, 2010.
  131. A. Varveris, P. Panagopoulos, K. Triantafillou, A. Tegos, A. Efstratiadis, N. Mamassis, and D. Koutsoyiannis, Assessment of environmental flows of Acheloos Delta, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, 12046, doi:10.13140/RG.2.2.14849.66404, European Geosciences Union, 2010.
  132. S. Kozanis, A. Christofides, N. Mamassis, A. Efstratiadis, and D. Koutsoyiannis, Hydrognomon – open source software for the analysis of hydrological data, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, 12419, doi:10.13140/RG.2.2.21350.83527, European Geosciences Union, 2010.
  133. A. Efstratiadis, I. Nalbantis, E. Rozos, and D. Koutsoyiannis, Accounting for water management issues within hydrological simulation: Alternative modelling options and a network optimization approach, European Geosciences Union General Assembly 2010, Geophysical Research Abstracts, Vol. 12, Vienna, 10085, doi:10.13140/RG.2.2.22189.69603, European Geosciences Union, 2010.
  134. S.M. Papalexiou, and D. Koutsoyiannis, Ombrian curves: from theoretical consistency to engineering practice, 8th IAHS Scientific Assembly / 37th IAH Congress, Hyderabad, India, doi:10.13140/RG.2.2.12123.36648, 2009.
  135. D. Koutsoyiannis, Seeking parsimony in hydrology and water resources technology (solicited), European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 11469, doi:10.13140/RG.2.2.20511.97443, European Geosciences Union, 2009.
  136. A. Tegos, N. Mamassis, and D. Koutsoyiannis, Estimation of potential evapotranspiration with minimal data dependence, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 1937, doi:10.13140/RG.2.2.27222.86089, European Geosciences Union, 2009.
  137. A. Efstratiadis, K. Mazi, A. D. Koussis, and D. Koutsoyiannis, Flood modelling in complex hydrologic systems with sparsely resolved data, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 4157, doi:10.13140/RG.2.2.13801.08807, European Geosciences Union, 2009.
  138. V. Montesarchio, F. Napolitano, and D. Koutsoyiannis, Preliminary data analysis for a multisite rainfall stochastic model implementation, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 8689, European Geosciences Union, 2009.
  139. S.M. Papalexiou, and D. Koutsoyiannis, An all-timescales rainfall probability distribution, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 13469, doi:10.13140/RG.2.2.23867.41762, European Geosciences Union, 2009.
  140. A. Efstratiadis, and D. Koutsoyiannis, On the practical use of multiobjective optimisation in hydrological model calibration, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 2326, doi:10.13140/RG.2.2.10445.64480, European Geosciences Union, 2009.
  141. G. G. Anagnostopoulos, D. Koutsoyiannis, A. Efstratiadis, A. Christofides, and N. Mamassis, Credibility of climate predictions revisited, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 611, doi:10.13140/RG.2.2.15898.24009, European Geosciences Union, 2009.
  142. A. Katerinopoulou, K. Kagia, M. Karapiperi, A. Kassela, A. Paschalis, G.-M. Tsarouchi, Y. Markonis, S.M. Papalexiou, and D. Koutsoyiannis, Reservoir yield-reliability relationship and frequency of multi-year droughts for scaling and non-scaling reservoir inflows, European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 8063, doi:10.13140/RG.2.2.12542.79682, European Geosciences Union, 2009.
  143. D. Koutsoyiannis, A random walk on water (Henry Darcy Medal Lecture), European Geosciences Union General Assembly 2009, Geophysical Research Abstracts, Vol. 11, Vienna, 14033, doi:10.13140/RG.2.1.2139.4800, European Geosciences Union, 2009.
  144. S.M. Papalexiou, and D. Koutsoyiannis, Probabilistic description of rainfall intensity at multiple time scales, IHP 2008 Capri Symposium: “The Role of Hydrology in Water Resources Management”, Capri, Italy, doi:10.13140/RG.2.2.17575.96169, UNESCO, International Association of Hydrological Sciences, 2008.
  145. D. Koutsoyiannis, From climate certainties to climate stochastics (Opening Lecture), IHP 2008 Capri Symposium: “The Role of Hydrology in Water Resources Management”, Capri, Italy, doi:10.13140/RG.2.2.28481.15205/1, UNESCO, International Association of Hydrological Sciences, 2008.
  146. D. Koutsoyiannis, Long tails of marginal distribution and autocorrelation function of rainfall produced by the maximum entropy principle, European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 10751, doi:10.13140/RG.2.2.13381.65766, European Geosciences Union, 2008.
  147. S.M. Papalexiou, and D. Koutsoyiannis, Ombrian curves in a maximum entropy framework, European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 00702, doi:10.13140/RG.2.2.23447.98720, European Geosciences Union, 2008.
  148. D. Koutsoyiannis, N. Mamassis, A. Christofides, A. Efstratiadis, and S.M. Papalexiou, Assessment of the reliability of climate predictions based on comparisons with historical time series, European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 09074, doi:10.13140/RG.2.2.16658.45768, European Geosciences Union, 2008.
  149. D. Koutsoyiannis, and T.A. Cohn, The Hurst phenomenon and climate (solicited), European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 11804, doi:10.13140/RG.2.2.13303.01447, European Geosciences Union, 2008.
  150. N. Zarkadoulas, D. Koutsoyiannis, N. Mamassis, and S.M. Papalexiou, Climate, water and health in ancient Greece, European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 12006, doi:10.13140/RG.2.2.31757.95207, European Geosciences Union, 2008.
  151. D. Koutsoyiannis, On detectability of nonstationarity from data using statistical tools, European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 05634, doi:10.13140/RG.2.2.32596.81282, European Geosciences Union, 2008.
  152. D. Koutsoyiannis, Emergence of antipersistence and persistence from a deterministic toy model, European Geosciences Union General Assembly 2008, Geophysical Research Abstracts, Vol. 10, Vienna, 05615, doi:10.13140/RG.2.2.30919.09122, European Geosciences Union, 2008.
  153. D. Koutsoyiannis, S.M. Papalexiou, and A. Montanari, Can a simple stochastic model generate a plethora of rainfall patterns? (invited), The Ultimate Rainmap: Rainmap Achievements and the Future in Broad-Scale Rain Modelling, Oxford, doi:10.13140/RG.2.2.36371.68642, Engineering and Physical Sciences Research Council, 2007.
  154. A. Montanari, D. Koutsoyiannis, and S.M. Papalexiou, The omnipresence of scaling behaviour in hydrometeorological time series and its implications in climatic change assessments, XXIV General Assembly of the International Union of Geodesy and Geophysics, Perugia, doi:10.13140/RG.2.2.26305.35688, International Union of Geodesy and Geophysics, International Association of Hydrological Sciences, 2007.
  155. E. Rozos, and D. Koutsoyiannis, Simulation error in groundwater models with rectangular and non rectangular discretization, XXIV General Assembly of the International Union of Geodesy and Geophysics, Perugia, doi:10.13140/RG.2.2.27983.07848, International Union of Geodesy and Geophysics, International Association of Hydrological Sciences, 2007.
  156. D. Koutsoyiannis, and A. Montanari, Long term persistence and uncertainty on the long term, European Geosciences Union General Assembly 2007, Geophysical Research Abstracts, Vol. 9, Vienna, 05619, doi:10.13140/RG.2.2.35532.82567, European Geosciences Union, 2007.
  157. D. Koutsoyiannis, A. Efstratiadis, and K. Georgakakos, A stochastic methodological framework for uncertainty assessment of hydroclimatic predictions, European Geosciences Union General Assembly 2007, Geophysical Research Abstracts, Vol. 9, Vienna, 06026, doi:10.13140/RG.2.2.16029.31202, European Geosciences Union, 2007.
  158. S.M. Papalexiou, A. Montanari, and D. Koutsoyiannis, Scaling properties of fine resolution point rainfall and inferences for its stochastic modelling, European Geosciences Union General Assembly 2007, Geophysical Research Abstracts, Vol. 9, Vienna, 11253, doi:10.13140/RG.2.2.26095.64167, European Geosciences Union, 2007.
  159. I. Nalbantis, A. Efstratiadis, and D. Koutsoyiannis, On the use and misuse of semi-distributed rainfall-runoff models, XXIV General Assembly of the International Union of Geodesy and Geophysics, Perugia, doi:10.13140/RG.2.2.14351.59044, International Union of Geodesy and Geophysics, International Association of Hydrological Sciences, 2007.
  160. D. Koutsoyiannis, and A. Georgakakos, Lessons from the long flow records of the Nile: determinism vs indeterminism and maximum entropy, 20 Years of Nonlinear Dynamics in Geosciences, Rhodes, Greece, doi:10.13140/RG.2.2.10996.14727, 2006.
  161. Z. Theocharis, C. Memos, and D. Koutsoyiannis, Improvement of wave height forecast in deep and intermediate waters with the use of stochastic methods, 13th WISE Annual Meeting, Venice, doi:10.13140/RG.2.2.18545.89448, Waves In Shallow Environments (WISE) group, 2006.
  162. D. Koutsoyiannis, H. Yao, and A. Georgakakos, Multiyear behaviour and monthly simulation and forecasting of the Nile River flow, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 05046, doi:10.13140/RG.2.2.33645.38888, European Geosciences Union, 2006.
  163. E. Rozos, and D. Koutsoyiannis, Modelling a karstic aquifer with a mixed flow equation, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 03970, doi:10.13140/RG.2.2.13512.72960, European Geosciences Union, 2006.
  164. E. Rozos, and D. Koutsoyiannis, Subsurface flow simulation with model coupling, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 02551, doi:10.13140/RG.2.2.23579.05924, European Geosciences Union, 2006.
  165. K. Georgakakos, D. Koutsoyiannis, and A. Efstratiadis, Uncertainty assessment of future hydroclimatic predictions: Methodological framework and a case study in Greece, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 08065, doi:10.13140/RG.2.2.29975.37284, European Geosciences Union, 2006.
  166. A. Efstratiadis, D. Koutsoyiannis, and G. Karavokiros, Linking hydroinformatics tools towards integrated water resource systems analysis, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 02096, doi:10.13140/RG.2.2.26619.92966, European Geosciences Union, 2006.
  167. A. Efstratiadis, A. Koukouvinos, E. Rozos, I. Nalbantis, and D. Koutsoyiannis, Control of uncertainty in complex hydrological models via appropriate schematization, parameterization and calibration, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 02181, doi:10.13140/RG.2.2.28297.65124, European Geosciences Union, 2006.
  168. A. Efstratiadis, G. Karavokiros, S. Kozanis, A. Christofides, A. Koukouvinos, E. Rozos, N. Mamassis, I. Nalbantis, K. Noutsopoulos, E. Romas, L. Kaliakatsos, A. Andreadakis, and D. Koutsoyiannis, The ODYSSEUS project: Developing an advanced software system for the analysis and management of water resource systems, European Geosciences Union General Assembly 2006, Geophysical Research Abstracts, Vol. 8, Vienna, 03910, doi:10.13140/RG.2.2.24942.20805, European Geosciences Union, 2006.
  169. D. Zarris, and D. Koutsoyiannis, Estimating suspended sediment yield based on reservoir hydrographic survey, rating relationships and distributed hydrological modelling, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, European Geosciences Union, 2005.
  170. S.M. Papalexiou, and D. Koutsoyiannis, A probabilistic approach to the concept of Probable Maximum Precipitation, 7th Plinius Conference on Mediterranean Storms, Rethymnon, Crete, doi:10.13140/RG.2.2.15714.73927, European Geosciences Union, 2005.
  171. A. Efstratiadis, A. Tegos, I. Nalbantis, E. Rozos, A. Koukouvinos, N. Mamassis, S.M. Papalexiou, and D. Koutsoyiannis, Hydrogeios, an integrated model for simulating complex hydrographic networks - A case study to West Thessaly region, 7th Plinius Conference on Mediterranean Storms, Rethymnon, Crete, doi:10.13140/RG.2.2.25781.06881, European Geosciences Union, 2005.
  172. E. Rozos, and D. Koutsoyiannis, Application of the Integrated Finite Difference Method in groundwater flow, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 00579, doi:10.13140/RG.2.2.30185.08803, European Geosciences Union, 2005.
  173. D. Koutsoyiannis, Similarities and scaling of extreme rainfall worldwide (solicited), European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 03775, doi:10.13140/RG.2.2.14928.30720, European Geosciences Union, 2005.
  174. D. Koutsoyiannis, The long-range dependence of hydrological processes as a result of the maximum entropy principle, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 03779, doi:10.13140/RG.2.2.11572.86402, European Geosciences Union, 2005.
  175. C. Derzekos, D. Koutsoyiannis, and C. Onof, A new randomised Poisson cluster model for rainfall in time, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 07236, doi:10.13140/RG.2.2.32544.38403, European Geosciences Union, 2005.
  176. D. Koutsoyiannis, The scaling properties in the distribution of hydrological variables as a result of the maximum entropy principle (solicited), European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 03781, doi:10.13140/RG.2.2.25833.49769, European Geosciences Union, 2005.
  177. S. Kozanis, A. Christofides, N. Mamassis, A. Efstratiadis, and D. Koutsoyiannis, Hydrognomon - A hydrological data management and processing software tool, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 04644, doi:10.13140/RG.2.2.34222.10561, European Geosciences Union, 2005.
  178. A. Efstratiadis, G. Karavokiros, and D. Koutsoyiannis, Hydronomeas: A water resources planning and management software system, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 04675, doi:10.13140/RG.2.2.29608.37128, European Geosciences Union, 2005.
  179. A. Efstratiadis, and D. Koutsoyiannis, The multiobjective evolutionary annealing-simplex method and its application in calibrating hydrological models, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 04593, doi:10.13140/RG.2.2.32963.81446, European Geosciences Union, 2005.
  180. A. Efstratiadis, E. Rozos, A. Koukouvinos, I. Nalbantis, G. Karavokiros, and D. Koutsoyiannis, An integrated model for conjunctive simulation of hydrological processes and water resources management in river basins, European Geosciences Union General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 03560, doi:10.13140/RG.2.2.27930.64960, European Geosciences Union, 2005.
  181. D. Koutsoyiannis, The water resource management of Athens in the perspective of the Olympic Games, The Olympic Games Athens 2004 and the National Technical University of Athens, edited by K. Moutzouris, Athens, 17–27, doi:10.13140/RG.2.2.35480.39680, National Technical University of Athens, 2004.
  182. D. Koutsoyiannis, Alternative wastewater collection systems, Management of Urban Wastewater, edited by A. N. Angelakis, 21–25, doi:10.13140/RG.2.2.32124.95361, National Centre of Environment and Sustainable Development, Larisa, Greece, 2004.
  183. D. Koutsoyiannis, Simple methods to generate time series with scaling behaviour (solicited), European Geosciences Union General Assembly 2004, Geophysical Research Abstracts, Vol. 6, Nice, doi:10.13140/RG.2.2.29503.51362, European Geosciences Union, 2004.
  184. D. Koutsoyiannis, and A. Efstratiadis, Climate change certainty versus climate uncertainty and inferences in hydrological studies and water resources management (solicited), European Geosciences Union General Assembly 2004, Geophysical Research Abstracts, Vol. 6, Nice, doi:10.13140/RG.2.2.12726.29764, European Geosciences Union, 2004.
  185. Z. Theocharis, D. Koutsoyiannis, C. Memos, and T. Soukissian, Improvement of the wave height real-time forecast in the Aegean Sea using stochastic methods, European Geosciences Union General Assembly 2004, Geophysical Research Abstracts, Vol. 6, Nice, doi:10.13140/RG.2.2.31181.23520, European Geosciences Union, 2004.
  186. P. Fytilas, D. Koutsoyiannis, and F. Napolitano, A case study of spatial-temporal rainfall disaggregation at the Tiber river basin, Italy, EGS-AGU-EUG Joint Assembly, Geophysical Research Abstracts, Vol. 5, Nice, doi:10.13140/RG.2.2.11048.57604, European Geophysical Society, 2003.
  187. D. Zarris, E. Lykoudi, D. Koutsoyiannis, and S. E. Poulos, Channel change and sediment movement after a major level drawdown at Kremasta reservoir, Western Greece, EGS-AGU-EUG Joint Assembly, Geophysical Research Abstracts, Vol. 5, Nice, doi:10.13140/RG.2.2.21953.76643, European Geophysical Society, 2003.
  188. A. Tsouni, D. Koutsoyiannis, C. Contoes, N. Mamassis, and P. Elias, Application of satellite-based methods for estimating evapotranspiration in Thessalia plain, Greece, EGS-AGU-EUG Joint Assembly, Geophysical Research Abstracts, Vol. 5, Nice, doi:10.13140/RG.2.1.3221.7840, European Geophysical Society, 2003.
  189. A. Langousis, and D. Koutsoyiannis, A stochastic methodology for generation of seasonal time series reproducing overyear scaling, Hydrofractals '03, An international conference on fractals in hydrosciences, Monte Verita, Ascona, Switzerland, doi:10.13140/RG.2.2.15242.88006, ETH Zurich, MIT, Université Pierre et Marie Curie, 2003.
  190. D. Koutsoyiannis, A toy model of climatic variability with scaling behaviour, Hydrofractals '03, An international conference on fractals in hydrosciences, Monte Verita, Ascona, Switzerland, doi:10.13140/RG.2.2.13565.15848, ETH Zurich, MIT, Université Pierre et Marie Curie, 2003.
  191. D. Koutsoyiannis, On embedding dimensions and their use to detect deterministic chaos in hydrological processes, Hydrofractals '03, An international conference on fractals in hydrosciences, Monte Verita, Ascona, Switzerland, doi:10.13140/RG.2.2.16920.60165, ETH Zurich, MIT, Université Pierre et Marie Curie, 2003.
  192. A. Efstratiadis, D. Koutsoyiannis, K. Hadjibiros, A. Andreadakis, A. Stamou, A. Katsiri, G.-F. Sargentis, and A. Christofides, A multicriteria approach for the sustainable management of the Plastiras reservoir, Greece, EGS-AGU-EUG Joint Assembly, Geophysical Research Abstracts, Vol. 5, Nice, doi:10.13140/RG.2.2.23631.48801, European Geophysical Society, 2003.
  193. A. Efstratiadis, D. Koutsoyiannis, E. Rozos, and I. Nalbantis, Calibration of a conjunctive surface-groundwater simulation model using multiple responses, EGS-AGU-EUG Joint Assembly, Geophysical Research Abstracts, Vol. 5, Nice, doi:10.13140/RG.2.2.23002.34246, European Geophysical Society, 2003.
  194. D. Koutsoyiannis, Hydrological statistics for engineering design in a varying climate, EGS-AGU-EUG Joint Assembly, Geophysical Research Abstracts, Vol. 5, Nice, doi:10.13140/RG.2.2.16291.45602, European Geophysical Society, 2003.
  195. K Mantoudi, N. Mamassis, and D. Koutsoyiannis, A simple water balance model using a geographical information system, 26th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 3, Nice, doi:10.13140/RG.2.2.26357.78567, European Geophysical Society, 2001.
  196. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, A decision support system for the management of the water resource system of Athens, 26th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 3, Nice, doi:10.13140/RG.2.2.28035.50724, European Geophysical Society, 2001.
  197. D. Koutsoyiannis, and A. Efstratiadis, A stochastic hydrology framework for the management of multiple reservoir systems, 26th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 3, Nice, doi:10.13140/RG.2.2.11258.29125, European Geophysical Society, 2001.
  198. D. Koutsoyiannis, C. Onof, and H. S. Wheater, Stochastic disaggregation of spatial-temporal rainfall with limited data, 26th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 3, Nice, doi:10.13140/RG.2.2.28874.36800, European Geophysical Society, 2001.
  199. A. Efstratiadis, and D. Koutsoyiannis, Global optimisation techniques in water resources management, 26th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 3, Nice, doi:10.13140/RG.2.2.13774.87360, European Geophysical Society, 2001.
  200. D. Koutsoyiannis, and C. Onof, A computer program for temporal rainfall disaggregation using adjusting procedures (HYETOS), 25th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 2, Nice, doi:10.13140/RG.2.2.33488.10243, European Geophysical Society, 2000.
  201. H. S. Wheater, V. S. Isham, C. Onof, R. E. Chandler, P. J. Northrop, P. Guiblin, S. M. Bate, D. R. Cox, and D. Koutsoyiannis, Generation of spatially-consistent rainfall fields for rainfall-runoff modelling, 7th National Hydrology Symposium of the British Hydrological Society, Newcastle, doi:10.13140/RG.2.1.4315.4163, British Hydrological Society, University of Newcastle, 2000.
  202. D. Koutsoyiannis, and N. Mamassis, The scaling model of storm hyetograph versus typical stochastic rainfall event models, 24th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 1, The Hague, 769, doi:10.13140/RG.2.1.1192.2165, European Geophysical Society, 1999.
  203. D. Koutsoyiannis, and D. Zarris, Simulation of rainfall events for design purposes with inadequate data, 24th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 1, The Hague, 296, doi:10.13140/RG.2.1.2797.8482, European Geophysical Society, 1999.
  204. D. Koutsoyiannis, An advanced method for preserving skewness in single-variate, multivariate and disaggregation models in stochastic hydrology, 24th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 1, The Hague, 346, doi:10.13140/RG.2.1.1749.2725, European Geophysical Society, 1999.
  205. D. Koutsoyiannis, and N. Mamassis, Metsovo: The hydrological heart of Greece, Proceedings of the 1st Inter-university Conference for Metsovo, edited by D. Rokos, Metsovo, 209–229, doi:10.13140/RG.2.1.2928.9205, National Technical University of Athens Press – National Technical University of Athens, Athens, 1998.
  206. D. Koutsoyiannis, and M. Mimikou, Country Paper for Greece, Management and Prevention of Crisis Situations: Floods, Droughts and Institutional Aspects, 3rd EURAQUA Technical Review, Rome, 63–77, doi:10.13140/RG.2.1.2142.4888, EURAQUA, 1996.
  207. M. Mimikou, and D. Koutsoyiannis, Extreme floods in Greece: The case of 1994, U.S. - ITALY Research Workshop on the Hydrometeorology, Impacts, and Management of Extreme Floods, Perugia, Italy, doi:10.13140/RG.2.1.1945.8802, 1995.
  208. D. Zarris, and D. Koutsoyiannis, Occurrence and general characteristics of deposits in the Athens storm sewers, International Conference on Sewer Solids: Characteristics, Movement, Effects and Control, Dundee, U.K., doi:10.13140/RG.2.1.3780.8885, 1995.
  209. N. Mamassis, and D. Koutsoyiannis, Weather types and geographical distribution of intense rainfall, Abstracts of the 5th International Conference on Precipitation, Elounda, Greece, 1.13, doi:10.13140/RG.2.1.1290.5208, 1995.
  210. D. Koutsoyiannis, and D. Pachakis, Deterministic chaos versus stochasticity in analysis and modelling of rainfall structure, Abstracts of the 5th International Conference on Precipitation, Elounda, Greece, 4.6, doi:10.13140/RG.2.1.1552.6648, 1995.
  211. N. Mamassis, D. Koutsoyiannis, and I. Nalbantis, Intense rainfall and flood event classification by weather type, 19th General Assembly of the European Geophysical Society, Annales Geophysicae, Vol. 12, Supplement II, Part II, Grenoble, 440, doi:10.13140/RG.2.1.4124.9520, European Geophysical Society, 1994.
  212. N. Mamassis, D. Koutsoyiannis, and E. Foufoula-Georgiou, Stochastic rainfall forecasting by conditional simulation using a scaling storm model, 19th General Assembly of the European Geophysical Society, Annales Geophysicae, Vol. 12, Supplement II, Part II, Grenoble, 324, 408, doi:10.13140/RG.2.1.1241.3682, European Geophysical Society, 1994.
  213. M. Vafiadis, D. Tolikas, and D. Koutsoyiannis, HYDROSCOPE: The new Greek national database system for meteorological, hydrological and hydrogeological information, 2nd International Conference on Flow Regimes from International Experimental and Network Data, Braunschweig, doi:10.13140/RG.2.1.3182.8726, UNESCO, 1993.
  214. D. Koutsoyiannis, and E. Foufoula-Georgiou, On the concept of similar storms and their parameterization via scaling, 1992 Western Pacific Geophysical Meeting, American Geophysical Union, EOS Transactions, Hong Kong, 73/25, 34, American Geophysical Union, 1992.
  215. I. Nalbantis, D. Koutsoyiannis, and Th. Xanthopoulos, Modelling the Athens water supply system, 1st European Conference on Advances in Water Resources Technology, Athens, European Water Resources Association, 1991.
  216. I. Nalbantis, D. Koutsoyiannis, C. Tsolakidis, and Th. Xanthopoulos, Planning and operating of the hydrosystem of Athens, Workshop for the perspectives of resolving the water supply problem of Athens, edited by D. Koutsoyiannis, 101–108, doi:10.13140/RG.2.1.3952.9207, G. Fountas, 1990.
  217. N. Mamassis, S. Roti, D. Koutsoyiannis, and Th. Xanthopoulos, Hydrological characteristics of the Mornos, Evinos and Yliki basins, Workshop for the perspectives of resolving the water supply problem of Athens, edited by D. Koutsoyiannis, 55–64, doi:10.13140/RG.2.1.2177.3043, G. Fountas, 1990.
  218. D. Koutsoyiannis, and Th. Xanthopoulos, Reliability and safety of the water resource system of Athens, Workshop for the perspectives of resolving the water supply problem of Athens, edited by D. Koutsoyiannis, 91–100, doi:10.13140/RG.2.1.1980.6968, G. Fountas, 1990.
  219. D. Koutsoyiannis, Hydrology and quantitative estimations of sediments, Seminar for the land reclamation works, 174–188, doi:10.13140/RG.2.1.1718.5528, Greek Union of the Rural and Surveying Engineers, 1986.
  220. A. Katsiri, A. Andreadakis, and D. Koutsoyiannis, Assimilative capacity of the Kalamas River and the Lake Pamvotis, Proceedings of the 2nd International Symposium on Environmental Technology for Developing Countries, Istanbul, Turkey, doi:10.13140/RG.2.1.4995.3520, 1984.

Presentations and publications in workshops

  1. D. Koutsoyiannis, Saving the world from climate threats vs. dispelling climate myths and fears, Invited Seminar, Lunz am See, Austria, doi:10.13140/RG.2.2.34278.42565, WasserCluster Lunz – Biologische Station GmbH, 2017.
  2. D. Koutsoyiannis, Environment, Water, Energy and search of Orthos Logos, Workshop for the World Day of Environment, Larisa, doi:10.13140/RG.2.2.36732.13443, DEYA of Larisa, 2016.
  3. Ο. Daskalou, A. Koukouvinos, A. Efstratiadis, and D. Koutsoyiannis, Methodology for optimal allocation and sizing of renewable energy sources using ArcGIS 10.3: Case study of Thessaly Perfecture, 24th Hellenic Meeting of ArcGIS Users, Crowne Plaza, Athens, Marathon Data Systems, 2016.
  4. A. Efstratiadis, A. Koukouvinos, N. Mamassis, and D. Koutsoyiannis, The quantitative dimension of WFD 2000/60, Water Framework Directive 2000/60 and Inland Water Protection: Research and Perspectives, Athens, Hellenic Centre for Marine Research, Specific Secreteriat of Water – Ministry of Environment, Energy and Climate Change, 2015.
  5. A. D. Koussis, and D. Koutsoyiannis, Challenges and perpectives of research project DEUCALION, Workshop - Deucalion research project, Goulandris National Histroy Museum, 2014.
  6. D. Koutsoyiannis, The research project DEUCALION: Hellenic and international framework, Workshop - Deucalion research project, Goulandris National Histroy Museum, doi:10.13140/RG.2.2.34539.95521, 2014.
  7. A. Tegos, A. Efstratiadis, A. Varveris, N. Mamassis, A. Koukouvinos, and D. Koutsoyiannis, Assesment and implementation of ecological flow constraints in large hydroelectric works: The case of Acheloos, Ecological flow of rivers and the importance of their true assesment, 2014.
  8. N. Mamassis, A. Efstratiadis, and D. Koutsoyiannis, Perspectives of combined management of water and energy in Thessaly region, , Larissa, 21 pages, doi:10.13140/RG.2.2.15760.61442, Technical Chamber of Greece / Department of CW Thessaly, 2014.
  9. N. Mamassis, and D. Koutsoyiannis, Exploration of ancient Greek hydraulic tecnhology using web-based data, Hydrotechnologies in Ancient Greece, edited by E. G. Kolokytha, Thessaloniki, 21 pages, Aristotle University of Thessaloniki, Thessaloniki, 2013.
  10. A. D. Koussis, S. Lykoudis, A. Efstratiadis, A. Koukouvinos, N. Mamassis, D. Koutsoyiannis, A. Peppas, and A. Maheras, Estimating flood flows in ungauged Greek basins under hydroclimatic variability (Deukalion project) - Development of physically-established conceptual-probabilistic framework and computational tools, Climate and Environmental Change in the Mediterranean Region, Pylos, Navarino Environmental Observatory, 2012.
  11. D. Koutsoyiannis, Re-establishing the link of hydrology with engineering, Invited lecture at the National Institute of Agronomy of Tunis (INAT), Tunis, Tunisia, doi:10.13140/RG.2.2.32862.23361, 2012.
  12. D. Koutsoyiannis, Water control in the Greek cities (solicited), Water systems and urbanization in Africa and beyond, Uppsala, Sweden, doi:10.13140/RG.2.2.36217.67680, 2012.
  13. D. Koutsoyiannis, Climate is changing ... since 4.5 billion years ago, Climate change: natural or human-induced, Athens, doi:10.13140/RG.2.2.24054.19524, Massachusetts Institute of Technology Alumni, University of Michigan Alumni, Athens, 2011.
  14. A. Montanari, and D. Koutsoyiannis, Uncertainty estimation in hydrology: Incorporating physical knowledge in stochastic modeling of uncertain systems, Invited Seminar at the University of Uppsala, Uppsala, doi:10.13140/RG.2.2.25731.91684, 2011.
  15. N. Mamassis, and D. Koutsoyiannis, Climatic uncertainty and water resources management - from science to divination, 23th general assembly EDEYA, Larisa, Larisa, 2011.
  16. A. Christofides, and D. Koutsoyiannis, God and the arrogant species: Contrasting nature's intrinsic uncertainty with our climate simulating supercomputers, 104th Annual Conference & Exhibition, Orlando, Florida, Air & Waste Management Association, 2011.
  17. D. Koutsoyiannis, and N. Mamassis, Strategy for flood prevention: Modern technological framework, Integrated planning of flood protection: A challenge for the future, Athens, doi:10.13140/RG.2.2.27671.78242, Association of Civil Engineers of Greece, Athens, 2010.
  18. D. Koutsoyiannis, Hydroscope: From yesterday to tomorrow, Towards a rational handling of current water resource problems: Utilizing Data and Informatics for Information, Hilton Hotel, Athens, doi:10.13140/RG.2.2.19283.17447, Athens, 2010.
  19. N. Mamassis, E. Tiligadas, D. Koutsoyiannis, M. Salahoris, G. Karavokiros, S. Mihas, K. Noutsopoulos, A. Christofides, S. Kozanis, A. Efstratiadis, E. Rozos, and L. Bensasson, HYDROSCOPE: National Databank for Hydrological, Meteorological and Geographical Information, Towards a rational handling of current water resource problems: Utilizing Data and Informatics for Information, Hilton Hotel, Athens, 2010.
  20. D. Koutsoyiannis, Hurst-Kolmogorov dynamics and uncertainty, Workshop on Nonstationarity, Hydrologic Frequency Analysis, and Water Management, Boulder, Colorado, USA, doi:10.13140/RG.2.2.36060.39045, International Center for Integrated Water Resources Management, US Army Corps of Engineers, United States Geological Survey, US Department of the Interior - Bureau of Reclamation, National Oceanic and Atmospheric Administration, US Environmental Protection Agency, Colorado State University, 2010.
  21. D. Koutsoyiannis, Kephisos as a river, 2nd Scientific Workshop for the Kephisos River, Athens, doi:10.13140/RG.2.2.17186.02245, Organization for the Management and Restoration of the Kephisos River and its Tributaries, National Technical University of Athens, 2009.
  22. D. Koutsoyiannis, N. Mamassis, and A. Tegos, Hydrometeorological issues in ancient Greek science and philosophy, The Eco-nomy of Water, edited by E Efthymiopoulos and M. Modinos, Hydra island, doi:10.13140/RG.2.2.25574.63040, Hellenica Grammata, 2009.
  23. C. Makropoulos, D. Koutsoyiannis, and A. Efstratiadis, Challenges and perspectives in urban water management, Local Govenance Conference: The Green Technology in the Cities, Athens, Ecocity, Central Association of Greek Municipalities, 2009.
  24. D. Koutsoyiannis, Entropy as an explanatory concept and modelling tool in hydrology, Invited lecture, Rome, doi:10.13140/RG.2.2.31902.13124, Università di Roma "La Sapienza", 2008.
  25. D. Koutsoyiannis, Climate change as a scapegoat in water science, technology and management, EUREAU Workshop on Climate Changes Impact on Water Resources with Emphasis on Potable Water, Chania, doi:10.13140/RG.2.2.35519.71843, European Association of Water and Wastewater Services, Hellenic Union of Water and Wastewater Enterprises, 2008.
  26. D. Koutsoyiannis, Flood protection planning in Greece - Utilization of scientific knowledge, The role of science in reconstitution of the burned areas, Kalamata, doi:10.13140/RG.2.2.12991.71844, Technical Chamber of Greece, 2008.
  27. D. Koutsoyiannis, and A. Efstratiadis, Energy, water and agriculture: Prospects of integrated management in the Prefecture of Karditsa, Water Resources Management in the Prefecture of Karditsa, Workshop of The Local Union of Municipalities and Communities, Karditsa, doi:10.13140/RG.2.2.33124.37760, 2008.
  28. A. Efstratiadis, D. Koutsoyiannis, and N. Mamassis, Optimization of the water supply network of Athens, Second International Congress: "Environment - Sustainable Water Resource Management", Athens, Association of Civil Engineers of Greece, European Council of Civil Engineers, 2007.
  29. D. Koutsoyiannis, Towards a national programme for water resources management and preservation, Consultative Committee of Water, Athens, doi:10.13140/RG.2.2.36479.82089, 2007.
  30. D. Koutsoyiannis, A. Andreadakis, R. Mavrodimou, A. Koukouvinos, and N. Mamassis, The Master Plan for the water resource management of Greece (invited talk), International Conference: Integrated Management of Coastal Areas, Faliro, doi:10.13140/RG.2.2.30398.08005, CoPraNet, Mediterranean SOS, 2006.
  31. G. Karavokiros, and D. Koutsoyiannis, Integrated Management of Hydrosystems in Conjunction with an Advanced Information System, Research and Technology Days 2006, Athens, 2006.
  32. D. Koutsoyiannis, The underestimation of probability of extreme rainfall and flood by prevailing statistical methodologies and how to avoid it, EU COST Action C22: Urban Flood Management, 2nd meeting, Athens, doi:10.13140/RG.2.2.25469.77286, University of Athens, 2006.
  33. E. Rozos, and D. Koutsoyiannis, Managing water supply resources in karstic environment (temperate climate), UNESCO Workshop - Integrated Urban Water Management in Temperate Climates, Belgrade, doi:10.13140/RG.2.2.28756.40329/1, 2006.
  34. D. Koutsoyiannis, A new stochastic hydrological framework inspired by the Athens water resource system, Invited lecture, Bologna, doi:10.13140/RG.2.2.28546.68809, University of Bologna, 2006.
  35. Z. W. Kundzewicz, and D. Koutsoyiannis, The peer review system revisited, Hydrology Journal Editors Meeting, Vienna, doi:10.13140/RG.2.2.32180.65920, Advances in Water Resources, Hydrological Processes, Hydrological Sciences Journal, Hydrology and Earth System Sciences, Journal of Hydrology, Journal of River Basin Management, Nordic Hydrology, Water Resources Research, 2006.
  36. D. Koutsoyiannis, The management of the Plastiras reservoir: From study to application, The water supply of Karditsa - Problems and perspectives, Karditsa, doi:10.13140/RG.2.2.28825.21602, Municipality of Karditsa, Municipal Company of Water Supply and Sewerage of Karditsa, 2006.
  37. D. Koutsoyiannis, A new stochastic hydrologic framework inspired by the Athens water resource system, Invited lecture, Durham, N. Carolina, doi:10.13140/RG.2.2.28546.68809, School of Engineering, Duke University, 2006.
  38. D. Koutsoyiannis, A new stochastic hydrologic framework inspired by the Athens water resource system, Invited lecture, Atlanta, doi:10.13140/RG.2.2.28546.68809, School of Civil and Environmental Engineering, Georgia Institute of Technology, 2006.
  39. D. Koutsoyiannis, The management of the Athens water resource system: Methodology and implementation, Invited lecture, Atlanta, doi:10.13140/RG.2.2.11209.13928, Georgia Water Resources Institute, 2006.
  40. E. Vassilopoulos, and D. Koutsoyiannis, New forms of wastewater collection and drainage, Wastewater management by decentralized processing systems, Neochori Karditsas, doi:10.13140/RG.2.2.31341.79846, Central Association of Greek Municipalities, Hellenic Union of Water and Wastewater Enterprises, Municipality of Karditsa, Technical Chamber of Greece, 2005.
  41. D. Koutsoyiannis, The management of the Athens water resource system: Methodological issues, Invited lecture, San Diego, doi:10.13140/RG.2.2.12886.86089, Hydrologic Research Center, 2005.
  42. D. Koutsoyiannis, A. Andreadakis, and N. Mamassis, ODYSSEUS: Information system for the simulation and management of hydrosystems, 15th meeting of the Greek users of Geographical Information Systems (G.I.S.) ArcInfo - ArcView - ArcIMS, Athens, doi:10.13140/RG.2.2.14145.15203, Marathon Data Systems, 2005.
  43. D. Koutsoyiannis, Climatic uncertainty, the Joseph effect and the water resource management, Man and environment in the 21st century - The crucial problems - Atmosphere and climate, Athens, doi:10.13140/RG.2.2.22533.76008, Goulandris Natural History Museum, 2005.
  44. D. Koutsoyiannis, I. Zalachori, and A. Andreadakis, Infiltration and inflows to foul sewers, Symposium for water resources management, Theba, doi:10.13140/RG.2.2.18339.45607, 2005.
  45. D. Koutsoyiannis, and A. Efstratiadis, Climatic change certainty and climatic uncertainty from a hydrological and water resources management viewpoint, Invited seminar, University of Thessaly, Volos, doi:10.13140/RG.2.2.31761.22888, University of Thessaly, 2004.
  46. D. Koutsoyiannis, A methodological approach for the rainfall intensity-duration-frequency relationship in Athens, Flood protection of Attica, Athens, doi:10.13140/RG.2.2.21694.89926, Technical Chamber of Greece, 2004.
  47. D. Koutsoyiannis, and A. Efstratiadis, The Hydronomeas computational system and its application to the study of the Acheloos river diversion, Water resource management with emphasis in Epiros, Ioannina, doi:10.13140/RG.2.2.35116.67205, Municipal Company of Water Supply and Sewerage of Ioannina, 2003.
  48. D. Koutsoyiannis, Mathematical tools in water resource management, Workshop of the Hellenic Mathematical Society (Branch of Arta), Arta, doi:10.13140/RG.2.2.16320.94722, 2003.
  49. I. Paspallis, and D. Koutsoyiannis, Geomorphometric characteristics of hydrologic basins of Greece, 12th meeting of the Greek users of ArcInfo, Marathon Data Systems, Athens, 2002.
  50. D. Zarris, E. Lykoudi, and D. Koutsoyiannis, Appraisal of river sediment deposits in reservoirs of hydropower dams, Workshop for the presentation of research projects of PPC/DAYE, Athens, doi:10.13140/RG.2.2.10239.20649, Department for the Development of Hydroelectric Works – Public Power Corporation, 2002.
  51. D. Koutsoyiannis, A. Efstratiadis, and A. Koukouvinos, Hydrological investigation of the Plastiras lake management, Workshop for the presentation of the research project "Investigation of scenarios for the management and protection of the quality of the Plastiras Lake", doi:10.13140/RG.2.2.16950.09286, Municipality of Karditsa, Karditsa, 2002.
  52. D. Koutsoyiannis, Decision support systems for water resource management: The case of the water supply system of Athens, Water and Environment 2, doi:10.13140/RG.2.2.27016.42248, Water Supply and Sewerage Company of Athens, 2001.
  53. D. Koutsoyiannis, Hydrological aspects of the operation of the Plastiras hydroelectric project, Workshop for the water resources management in Plastiras lake, doi:10.13140/RG.2.2.28694.14408, Municipal Water Supply and Sewerage Company of Karditsa, 2001.
  54. D. Koutsoyiannis, Urban water systems management: Remarks - questions - opinions, Water and Environment, doi:10.13140/RG.2.2.24499.84006, Water Supply and Sewerage Company of Athens, 2000.
  55. A. Xanthakis, and D. Koutsoyiannis, The management plan of the water resource system of Athens for the next five years, Water for the city: Strategic planning, demand management and network losses control, doi:10.13140/RG.2.2.19886.10562, National Technical University of Athens, University of the Aegean, Water Supply and Sewerage Company of Athens, 2000.
  56. H. Coccossis, and D. Koutsoyiannis, Water for the city: Strategic planning, demand management and network losses control, Water for the city: Strategic planning, demand management and network losses control, doi:10.13140/RG.2.2.33307.87843, National Technical University of Athens, University of the Aegean, Water Supply and Sewerage Company of Athens, 2000.
  57. K Mantoudi, N. Mamassis, and D. Koutsoyiannis, Water balance model of a catchment using geographical information system, 10th meeting of the Greek users of ArcInfo - ArcView, Marathon Data Systems, 2000.
  58. D. Koutsoyiannis, N. Mamassis, and E. Arapaki, Water shortage in Ethiopia: A first approach, Solidarity for Ethiopia, doi:10.13140/RG.2.2.23556.12165, Hellas-Ethiopia, General Consulate of Ethiopia in Greece, 2000.
  59. D. Koutsoyiannis, The Athens water resource system: A modern management perspective, Invited lecture, London, doi:10.13140/RG.2.2.29008.71685, Imperial College, London, 1999.
  60. D. Koutsoyiannis, Summary of the research project: Evaluation of Management of the Water Resources of Sterea Hellas, Workshop for the presentation of the research project Evaluation and Management of the Water Resources of Sterea Hellas, National Technical University of Athens, Ministry of Environment, Planning and Public Works, 1998.
  61. D. Koutsoyiannis, Experience from the elaboration of the masterplan of the water resources management of Greece, Workshop for the Masterplan of the water resources management in Greece, Ministry of Development, National Technical University of Athens, Institute of Geological and Mining Research, Centre for Research and Planning, 1997.
  62. E. Rozos, D. Koutsoyiannis, and A. Koukouvinos, Supervision and investigation of the boreholes of the Yliki area using geographical information system, 7th meeting of the Greek users of ArcInfo, Marathon Data Systems, 1997.
  63. G. Tsakalias, and D. Koutsoyiannis, Hydrological characteristics of the Sperchios basin, Sperchios 2000+, 89–98, doi:10.13140/RG.2.2.15334.63047, Sterea Hellas District, National Technical University of Athens, 1995.
  64. N. Mamassis, and D. Koutsoyiannis, Study of the geographical distribution of hydrometeorological variables using geographical information system, 5th meeting of the Greek users of ArcInfo, Marathon Data Systems, 1995.
  65. D. Hadjichristos, D. Koutsoyiannis, and A. Koukouvinos, Investigation of the design of storm sewer networks using geographical information system, 5th meeting of the Greek users of ArcInfo, Marathon Data Systems, 1995.
  66. Th. Xanthopoulos, D. Christoulas, M. Mimikou, M. Aftias, and D. Koutsoyiannis, A strategy for the problem of floods in Athens, Flood protection of the Athens basin, doi:10.13140/RG.2.2.35719.60320, Technical Chamber of Greece, 1995.
  67. D. Koutsoyiannis, G. Tsakalias, A. Christofides, A. Manetas, A. Sakellariou, R. Mavrodimou, N. Papakostas, N. Mamassis, I. Nalbantis, and Th. Xanthopoulos, HYDROSCOPE: Creation of a national data bank of hydrological and meteorological information, Research and Technology Days '95, National Technical University of Athens, 1995.
  68. D. Koutsoyiannis, N. Mamassis, and E. Foufoula-Georgiou, Rainfall modelling, Workshop for the presentation of the research project A comprehensive forecasting system for flood risk mitigation and control, Bologna, Italy, University of Bologna, 1994.
  69. D. Koutsoyiannis, HYDROSCOPE : Creation of a national data bank of hydrological and meteorological information, Workshop for the STRIDE HELLAS programme, General Secretariat of Research and Technology, 1994.
  70. I. Nalbantis, N. Mamassis, D. Koutsoyiannis, E. Baltas, M. Aftias, M. Mimikou, and Th. Xanthopoulos, Hydrologic characteristics of the water shortage, The water supply problem of Athens, 13–28, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 1994.
  71. D. Koutsoyiannis, HYDROSCOPE: Organization and technical characteristics, Workshop for the presentation of the Hydroscope research project, National Technical University of Athens, 1994.
  72. D. Tolikas, D. Koutsoyiannis, and Th. Xanthopoulos, HYDROSCOPE : An information system for the study of hydroclimatic phenomena in Greece, 8th Seminar for the protection of the environment, 36–44, Aristotle University of Thessaloniki, Municipality of Thessaloniki, Goethe German Institute of Thessaloniki, 1993.
  73. N. Mamassis, and D. Koutsoyiannis, Some results on rainfall modelling - Univariate versus multivariate stochastic modelling of rainfall, 5th Meeting of AFORISM, Cork, Ireland, University College Cork, 1993.
  74. N. Mamassis, and D. Koutsoyiannis, An attempt for stochastic forecasting of rainfall, 4th Meeting of AFORISM, Grenoble, Institut National Polytechnique de Grenoble, 1993.
  75. I. Nalbantis, and D. Koutsoyiannis, Assessment of the risk for inadequacy of the water supply system of Athens, Water Supply of Athens, Association of Civil Engineers of Greece, Greek Union of Chemical Engineers, Association of the Greek Consulting Companies, 1992.
  76. N. Mamassis, I. Nalbantis, and D. Koutsoyiannis, Investigation of hydrological characteristics of Mornos, Boeoticos Kephisos and Yliki basins, Water Supply of Athens, Association of Civil Engineers of Greece, Greek Union of Chemical Engineers, Association of the Greek Consulting Companies, 1992.
  77. I. Spyrakos, I. Stamataki, and D. Koutsoyiannis, Analysis of a geographical information system for hydrological data , 2nd meeting of the Greek users of ArcInfo, Marathon Data Systems, 1992.
  78. D. Koutsoyiannis, I. Nalbantis, and N. Mamassis, Assessment of the risk for inadequacy of the water supply system of Athens in case of persistent drought, Likelihood of persistent drought and water supply of Athens, doi:10.13140/RG.2.2.13244.03207, Water Supply and Sewerage Company of Athens, 1992.
  79. D. Koutsoyiannis, and G. Tsakalias, A disaggregation model for storm hyetographs, 3rd Meeting of AFORISM, Athens, doi:10.13140/RG.2.2.28343.52649, National Technical University of Athens, 1992.
  80. D. Koutsoyiannis, and E. Foufoula-Georgiou, A scaling model of storm hyetograph, 2nd Meeting of AFORISM, Lausanne, Ecole Polytechnique Federale de Lausanne, 1992.
  81. I. Spyrakos, N. Mamassis, and D. Koutsoyiannis, Development of a geographical information system for hydrological data, 1st meeting of the Greek users of ArcInfo, Marathon Data Systems, 1991.
  82. Th. Xanthopoulos, D. Koutsoyiannis, and I. Nalbantis, Pilot study for the management of Louros and Arachthos basins. Appraisal of methodology and results, Computer aided water resources management, doi:10.13140/RG.2.2.35893.27360, Ministry of the Industry, 1991.

Various publications

  1. D. Koutsoyiannis, The 1821 revolution for freedom and the 180 years of struggles in NTUA for education, Official celebration of the national holiday of 25 March 1821, Athens, 24 March 2017.
  2. D. Koutsoyiannis, Antonis Koussis, the epistemon – polites, National Observatory of Athens, doi:10.13140/RG.2.2.16757.58089, Athens, 2016.
  3. D. Tsaknias, D. Bouziotas, and D. Koutsoyiannis, Statistical comparison of observed temperature and rainfall extremes with climate model outputs in the Mediterranean region, ResearchGate, doi:10.13140/RG.2.2.11993.93281, 2016.
  4. N. Mamassis, P. Defteraios, N. Zarkadoulas, and D. Koutsoyiannis, Research on water supply of ancient Piraeus-Representation of ancient cisterns operation, 16 pages, doi:10.13140/RG.2.2.11392.64000, 15 May 2015.
  5. D. Koutsoyiannis, On the collapse of the historical bridge of Plaka, Kathimerini, 8 February 2015.
  6. D. Koutsoyiannis, Book Review: "Meteorological Wandering - The Story of a Butterfly" by Theodore Kolydas, doi:10.13140/RG.2.2.24814.41282, Athens, 16 June 2014.
  7. D. Koutsoyiannis, Citation for the 2014 Tison Award, Dublin, 24 April 2014.
  8. D. Koutsoyiannis, International Hydrology Prize – Dooge Medal 2014: Response, doi:10.13140/RG.2.2.18103.52646, Dublin, 24 April 2014.
  9. D. Koutsoyiannis, The Department of Water Resources and Environmental Engineering, Presentation in the framework of the evaluation of the School of Civil Engineering of NTUA, Athens, November 2013.
  10. D. Koutsoyiannis, LTP: Looking Trendy—Persistently, Climate Dialogue, doi:10.13140/RG.2.2.13070.36169, 2013.
  11. D. Koutsoyiannis, Citation for the 2012 Tison Award, IAHS 90th Anniversary, Delft, The Netherlands, 23 October 2012.
  12. D. Koutsoyiannis, Invitation to Kos 2013: Facets of Uncertainty, Hydrology and Society, 2012 EGU Leonardo Conference, Turin, 15 November 2012.
  13. D. Koutsoyiannis, Research funding as the enemy of innovation, Bishop Hill Blog, doi:10.13140/RG.2.2.31525.29928 , 2011.
  14. D. Koutsoyiannis, We don't mind, we do not have, Eleftherotypia, 28 May 2011.
  15. D. Koutsoyiannis, Vít Klemeš (1932-2010), The Reference Frame (by Luboš Motl), 5 pages, doi:10.13140/RG.2.2.10344.06404, 2011.
  16. M. Karlaftis, and D. Koutsoyiannis, [No English title available], Newspaper "To Vima", Α6, Athens, 26 November 2010.
  17. D. Koutsoyiannis, Three remarks for the rector election in NTUA in 2010, 5 pages, Athens, 1 July 2010.
  18. D. Koutsoyiannis, A brief tribute to Vit Klemeš, IAHS/STAHY Workshop--Advances in Statistical Hydrology, Taormina, Sicily, Italy, 24 May 2010.
  19. D. Koutsoyiannis, Will propaganda and lies save the Earth?, 2 pages, Athens, 1 April 2010.
  20. D. Koutsoyiannis, Beware saviors!, Climate Science (by Roger Pielke Sr.), 2 pages, doi:10.13140/RG.2.2.23765.83688, 2009.
  21. D. Koutsoyiannis, Rainfall shortage as an opportunity for fertile thinking, Kathimerini, 16 March 2008.
  22. D. Koutsoyiannis, Energy and water resources management, Energy Point, 3, Athens, August 2007.
  23. D. Koutsoyiannis, On the problem of erosion and sediment deposition in the area upstream of the Lavrio Cultural Park, 5 pages, National Technical University of Athens, Athens, 2007.
  24. D. Koutsoyiannis, Kephisos is an X-ray image of the society, Newspaper "Kathimerini", 36, Athens, 11 March 2007.
  25. D. Koutsoyiannis, A. Andreadakis, and C. Memos, On the revision of the curriculum of the School of Civil Engineering, Athens, 2006.
  26. D. Koutsoyiannis, What are the conditions for valid extrapolation of statistical predictions?, Niche Modeling, 2 pages, August 2006.
  27. D. Koutsoyiannis, Hurst, Joseph, colours and noises: The importance of names in an important natural behaviour, Niche Modeling, 10 pages, doi:10.13140/RG.2.2.23513.52320, 2006.
  28. D. Koutsoyiannis, Two comments on "How Red are my Proxies?" by David Ritson, Real Climate, 6 pages, doi:10.13140/RG.2.2.36778.00960, 2006.
  29. D. Koutsoyiannis, Energy aspects of the Acheloos diversion project, Ergotaxiaka Themata, 125, 35–37, Athens, November 2006.
  30. D. Koutsoyiannis, Commercialized education and entrance examination: difficult problems and easy solutions, Athens, 11 July 2006.
  31. D. Koutsoyiannis, Diversions and aberrations, Newspaper "To Vima", A55, Athens, 30 August 2006.
  32. D. Koutsoyiannis, Two comments on "Naturally trendy?" by Rasmus E. Benestad, Real Climate, 5 pages, May 2005.
  33. H. Perlman, C. Makropoulos, and D. Koutsoyiannis, The water cycle, http://ga.water.usgs.gov/edu/watercyclegreek.html, 19 pages, doi:10.13140/RG.2.2.11182.92480, United States Geological Survey, 2005.
  34. D. Koutsoyiannis, Terror scenarios about a dam, Newspaper "To Vima", A8, 12 February 2005.
  35. D. Koutsoyiannis, A masterplan for rational management of water resources, Economist-Kathimerini, 26 September 2004.
  36. D. Koutsoyiannis, The complicated water supply system of Athens, Economist-Kathimerini, 26 September 2004.
  37. C. Gardner, D. Koutsoyiannis, Z. W. Kundzewicz, and F. Watkins, IAHS and Electronic Publishing of HSJ, 5 pages, International Association of Hydrological Sciences, London, 2003.
  38. D. Koutsoyiannis, Atmosphere and climate, Man and Environment in the 21st Century, The crucial problems, 1, 6 pages, doi:10.13140/RG.2.2.31315.58406, Goulandris Natural History Museum, Athens, 2003.
  39. D. Koutsoyiannis, On the covering of Kephisos River, Daemon of Ecology, 6 October 2002.
  40. Th. Xanthopoulos, and D. Koutsoyiannis, Climate worsening: Inherent weaknesses in reliable prediction, and unjustified doomsaying, Bulletin of the National Chamber of Greece, 144–146, 8 July 2002.
  41. D. Koutsoyiannis, and I. Tselentis, Comment on the perspectives of water resources development in Greece with regard to the Water Framework Directive, Hydroeconomy, 2, 82–87, July 2002.
  42. D. Koutsoyiannis, On the covering of Kephisos River, Newspaper 'Machetiki of Moschato", 8 June 2002.
  43. Th. Xanthopoulos, and D. Koutsoyiannis, Climate worsening: Inherent weaknesses in reliable prediction, and unjustified doomsaying, Newspaper "To Vima", A38–A39, 2 June 2002.
  44. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, The management of resources for the water supply of Athens, Hellenic Association of Consulting Firms Newsletter, 65, 4–5, Athens, October 2001.
  45. Th. Xanthopoulos, and D. Koutsoyiannis, Prediction of climate: Scientific evidence, historical experience and the truth, Newspaper "To Vima", A10–A11, 17 September 2000.
  46. D. Koutsoyiannis, 1 measurement = 1000 calculations, Newspaper "To Vima", Special extra supplement on water, 18–20, 12 November 2000.
  47. Greek Committee for Desertification, Greek provisional action plan for combating desertification, 142 pages, Ministry of Agriculture, 2000.
  48. D. Koutsoyiannis, Climate change: Myths and reality, New Ecology, 151, 27–28, May 1997.
  49. Th. Xanthopoulos, and D. Koutsoyiannis, Water resources, Technology and Informatics, Educational Greek Encyclopedia, 19, 403–404, Ekdotiki Athinon, 1997.
  50. Th. Xanthopoulos, D. Christoulas, M. Mimikou, M. Aftias, and D. Koutsoyiannis, Flood protection of the Athens basin, Monthly Technical Review, 48, 50–53, 1996.
  51. D. Koutsoyiannis, Comments on the reform and modernization of undergraduate Civil Engineering courses, Athens, 1995.
  52. D. Koutsoyiannis, P. Marinos, and M. Mimikou, Hydrological approach of the Acheloos diversion, Pyrphoros, 21, 29–32, November 1995.
  53. Th. Xanthopoulos, D. Christoulas, M. Mimikou, M. Aftias, and D. Koutsoyiannis, The problem of flood protection of Athens: Strategy to deal with, Newspaper "Pontiki", 14–15, 24 November 1994.
  54. P. Burlando, and D. Koutsoyiannis, Precipitation measurement, modelling and forecasting - Stochastic modelling of rainfall in space and time (Conference session report), EGS Newsletter, 51, 17, 1994.
  55. Th. Xanthopoulos, M. Mimikou, M. Aftias, D. Koutsoyiannis, and I. Nalbantis, Assessment of the water supply problem of Athens under the prevailing drought, Report to the Minister of Environment, Planning & Public Works, 8 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, 1993.
  56. D. Koutsoyiannis, The nature of drought, Pyrphoros, 7, 6–7, May 1993.
  57. Th. Xanthopoulos, and D. Koutsoyiannis, Special supplement on the problems of the water supply of Athens, Bulletin of the National Chamber of Greece, 1646, 15–52, 14 January 1991.
  58. D. Koutsoyiannis, The degradation of the role of Mathematics in education, Newspaper "Kathimerini", 10 December 1991.
  59. D. Koutsoyiannis, Comments on the draft curriculum of core courses (School of Civil Engineering NTUA, 1990), Athens, 1990.
  60. Th. Xanthopoulos, and D. Koutsoyiannis, Reliability and safety of the water resource system of Athens, Economicos Tachydromos, 47(1907), 44–48, 22 November 1990.

Books

  1. D. Koutsoyiannis, and A. Efstratiadis, Lecture Notes on Urban Hydraulic Works - Water Supply, 83 pages, doi:10.13140/RG.2.1.3559.7044, National Technical University of Athens, February 2015.
  2. A. N. Angelakis, L. W. Mays, D. Koutsoyiannis, and N. Mamassis, Evolution of Water Supply Through the Millennia, 560 pages, IWA Publishing, London, 2012.
  3. D. Koutsoyiannis, Design of Urban Sewer Networks, Edition 4, 180 pages, doi:10.13140/RG.2.1.2169.1125, National Technical University of Athens, Athens, 2011.
  4. D. Koutsoyiannis, Probability and statistics for geophysical processes, doi:10.13140/RG.2.1.2300.1849/1, National Technical University of Athens, Athens, 2008.
  5. A. N. Angelakis, and D. Koutsoyiannis, Proceedings of the 1st IWA International Symposium on Water and Wastewater Technologies in Ancient Civilizations, 792 pages, doi:10.13140/RG.2.1.2511.1287, Heracleion, Crete, Greece, 2006.
  6. D. Koutsoyiannis, and Th. Xanthopoulos, Engineering Hydrology, Edition 3, 418 pages, doi:10.13140/RG.2.1.4856.0888, National Technical University of Athens, Athens, 1999.
  7. D. Koutsoyiannis, Statistical Hydrology, Edition 4, 312 pages, doi:10.13140/RG.2.1.5118.2325, National Technical University of Athens, Athens, 1997.

Educational notes

  1. A. Efstratiadis, and D. Koutsoyiannis, Lecture notes: Urban stormwater drainage networks, 23 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, July 2014.
  2. D. Koutsoyiannis, A brief introduction to probability, doi:10.13140/RG.2.2.12634.54722, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2014.
  3. D. Koutsoyiannis, Encolpion of stochastics: Fundamentals of stochastic processes, doi:10.13140/RG.2.2.10956.82564, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2013.
  4. D. Koutsoyiannis, Lecture notes on Stochastic Methods in Water Resources, Edition 4, 100 pages, National Technical University of Athens, Athens, 2013.
  5. D. Koutsoyiannis, Lecture Notes on Hydrometeorology: A probability-based introduction to atmospheric thermodynamics, 45 pages, doi:10.13140/RG.2.2.22700.87686, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2011.
  6. D. Koutsoyiannis, Lecture Notes on Hydrometeorology: Simple physical principles for complex systems, 19 pages, doi:10.13140/RG.2.2.36122.64967, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2011.
  7. A. Efstratiadis, N. Mamassis, and D. Koutsoyiannis, Lecture notes on Water Resources Management - Part 2, 97 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 2011.
  8. D. Koutsoyiannis, Water technology and management in Ancient Greece: Legacies and lessons, 28 pages, doi:10.13140/RG.2.2.27314.61129, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, May 2007.
  9. D. Koutsoyiannis, and A. Efstratiadis, Lecture notes on Urban Hydraulic Works - Part 1: Water Supply, 146 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2007.
  10. D. Koutsoyiannis, Lecture notes on Water Resources Management - Part 1, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 2007.
  11. A. Efstratiadis, and D. Koutsoyiannis, Lecture notes on Typical Hydraulic Works - Part 2: Water Distribution Networks, 90 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 2006.
  12. A. Katsiri, and D. Koutsoyiannis, Reservoirs: necessity, impacts and their management - Case study: the Tavropos reservoir, 67 pages, doi:10.13140/RG.2.2.15570.56007, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 2005.
  13. A. Efstratiadis, and D. Koutsoyiannis, Lecture notes on Water Resource System Optimisation - Part 2, 140 pages, National Technical University of Athens, Athens, 2004.
  14. D. Koutsoyiannis, The modern Athens water resource system and its management, doi:10.13140/RG.2.2.22281.44643, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, 2002.
  15. D. Koutsoyiannis, Water resources technologies in ancient Greece, 24 pages, doi:10.13140/RG.2.2.25846.60483, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, 2002.
  16. D. Koutsoyiannis, Lecture notes on Urban Hydraulic Works - Part 2: Sewerage, 35 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, 2000.
  17. D. Koutsoyiannis, Lecture notes on Water Resource System Optimisation - Part 1, Edition 2, 91 pages, National Technical University of Athens, Athens, 2000.
  18. N. Mamassis, and D. Koutsoyiannis, Lecture notes on Hydrometeorology - Part 2, Edition 2, 176 pages, National Technical University of Athens, Athens, 2000.
  19. D. Koutsoyiannis, Lecture notes on Hydrometeorology - Part 1, Edition 2, 157 pages, National Technical University of Athens, Athens, 2000.
  20. N. Mamassis, and D. Koutsoyiannis, Lecture notes on Advanced Hydrology - Part 2, 65 pages, National Technical University of Athens, Athens, 1999.
  21. D. Koutsoyiannis, Lecture notes on Advanced Hydrology - Part 1, 52 pages, National Technical University of Athens, Athens, 1999.
  22. D. Koutsoyiannis, Probabilistic and statistical methods in engineering hydrology, 24 pages, National Technical University of Athens, Athens, 1994.
  23. D. Koutsoyiannis, Topics of surface hydrology - Notes on training courses, Edition 2, 36 pages, National Technical University of Athens, 1994.
  24. D. Koutsoyiannis, Instructions for solving water supply networks, Edition 2, 25 pages, National Technical University of Athens, Athens, 1990.
  25. D. Koutsoyiannis, Quantitative assessment of water resources - Estimation of mean, maximum and minimum flows, 31 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, May 1989.
  26. D. Koutsoyiannis, Hydrological methods of flood routing, 16 pages, National Technical University of Athens, Athens, 1988.
  27. D. Koutsoyiannis, Lecture notes on river hydraulics and sedimentation engineering, 84 pages, National Technical University of Athens, Athens, 1982.

Academic works

  1. D. Koutsoyiannis, A disaggregation model of point rainfall, PhD thesis, 310 pages, doi:10.12681/eadd/0910, National Technical University of Athens, Athens, 1988.
  2. E. Karakosti, and D. Koutsoyiannis, Penetration of a jet into a counterflow, Diploma thesis, 192 pages, National Technical University of Athens, 1978.

Research reports

  1. A. Koukouvinos, A. Efstratiadis, D. Nikolopoulos, H. Tyralis, A. Tegos, N. Mamassis, and D. Koutsoyiannis, Case study in the Acheloos-Thessaly system, Combined REnewable Systems for Sustainable ENergy DevelOpment (CRESSENDO), 98 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, October 2015.
  2. D. Koutsoyiannis, S.M. Papalexiou, Y. Markonis, P. Dimitriadis, and P. Kossieris, Stochastic framework for uncertainty assessment of hydrometeorological procesess, Combined REnewable Systems for Sustainable ENergy DevelOpment (CRESSENDO), 231 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, January 2015.
  3. A. Efstratiadis, A. Koukouvinos, E. Michaelidi, E. Galiouna, K. Tzouka, A. D. Koussis, N. Mamassis, and D. Koutsoyiannis, Description of regional approaches for the estimation of characteristic hydrological quantities, DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools, Contractors: ETME: Peppas & Collaborators, Grafeio Mahera, Department of Water Resources and Environmental Engineering – National Technical University of Athens, National Observatory of Athens, 146 pages, September 2014.
  4. A. Efstratiadis, D. Koutsoyiannis, and S.M. Papalexiou, Description of methodology for intense rainfall analysis , DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools, Contractors: ETME: Peppas & Collaborators, Grafeio Mahera, Department of Water Resources and Environmental Engineering – National Technical University of Athens, National Observatory of Athens, 55 pages, November 2012.
  5. A. Efstratiadis, D. Koutsoyiannis, N. Mamassis, P. Dimitriadis, and A. Maheras, Litterature review of flood hydrology and related tools, DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools, Contractors: ETME: Peppas & Collaborators, Grafeio Mahera, Department of Water Resources and Environmental Engineering – National Technical University of Athens, National Observatory of Athens, 115 pages, October 2012.
  6. D. Koutsoyiannis, Alternative Robust Energy Technologies for Environmental Sustainability (ARETES), Athens, 2011.
  7. D. Koutsoyiannis, WATer pathways towards the non-deterministic future of renewable enERGY (WATERGY), Athens, 2011.
  8. I. Papakonstantis, P. Papanicolaou, V. Kotsioni, M. Hondros, C. Memos, and D. Koutsoyiannis, Final report, Integrated study for the investigation of the quantity, quality and recovery of the underwater springs of the Stoupa region in Municipality of Lefktros, Messinia, Contractors: Hellenic Centre for Marine Research, Agricultural University of Athens, National Technical University of Athens, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2010.
  9. D. Koutsoyiannis, N. Mamassis, A. Koukouvinos, and A. Efstratiadis, Summary report, Athens, Investigation of management scenarios for the Smokovo reservoir, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 37 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, August 2008.
  10. D. Koutsoyiannis, N. Mamassis, A. Koukouvinos, and A. Efstratiadis, Final report, Investigation of management scenarios for the Smokovo reservoir, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 4, 66 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, July 2008.
  11. A. Efstratiadis, A. Koukouvinos, N. Mamassis, and D. Koutsoyiannis, Alternative scenarios for the management and optimal operation of the Smokovo reservoir and the related works, Investigation of management scenarios for the Smokovo reservoir, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 3, 104 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, July 2008.
  12. D. Koutsoyiannis, A. Andreadakis, R. Mavrodimou, A. Christofides, N. Mamassis, A. Efstratiadis, A. Koukouvinos, G. Karavokiros, S. Kozanis, D. Mamais, and K. Noutsopoulos, National Programme for the Management and Protection of Water Resources, Support on the compilation of the national programme for water resources management and preservation, 748 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, February 2008.
  13. A. Efstratiadis, G. Karavokiros, and D. Koutsoyiannis, Theoretical documentation of model for simulating and optimising the management of water resources "Hydronomeas", Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, Report 9, 91 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2007.
  14. N. Mamassis, R. Mavrodimou, A. Efstratiadis, M. Heidarlis, A. Tegos, A. Koukouvinos, P. Lazaridou, M. Magaliou, and D. Koutsoyiannis, Investigation of alternative organisations and operations of a Water Management Body for the Smokovo projects, Investigation of management scenarios for the Smokovo reservoir, Report 2, 73 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 2007.
  15. A. Efstratiadis, D. Koutsoyiannis, and S. Kozanis, Theoretical documentation of stochastic simulation of hydrological variables model "Castalia", Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, Report 3, 61 pages, doi:10.13140/RG.2.2.30224.40966, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 2005.
  16. D. Koutsoyiannis, and S. Kozanis, A simple Monte Carlo methodology to calculate generalized approximate confidence intervals, Research report, Contractor: [Not funded], doi:10.13140/RG.2.2.33579.85286, Hydrologic Research Center, 2005.
  17. D. Koutsoyiannis, Hydrological flood study, Investigation and remedy of the stability problems of the banks and bed of the Philothei Creek using mathematical models and modern environmental methods, 22 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 2004.
  18. I. Nalbantis, N. Mamassis, D. Koutsoyiannis, and A. Efstratiadis, Final report, Modernisation of the supervision and management of the water resource system of Athens, Report 25, 135 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 2004.
  19. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, Hydronomeas (version 3.2) - A system to support the management of water resources, Modernisation of the supervision and management of the water resource system of Athens, Report 24, 142 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2004.
  20. A. Efstratiadis, and D. Koutsoyiannis, Castalia (version 2.0) - A system for stochastic simulation of hydrological variables, Modernisation of the supervision and management of the water resource system of Athens, Report 23, 103 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2004.
  21. D. Koutsoyiannis, I. Nalbantis, G. Karavokiros, A. Efstratiadis, N. Mamassis, A. Koukouvinos, A. Christofides, E. Rozos, A. Economou, and G. M. T. Tentes, Methodology and theoretical background, Modernisation of the supervision and management of the water resource system of Athens, Report 15, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2004.
  22. Ministry of Development, NTUA, Institute of Geological and Mining Research, and Centre for Research and Planning, Master plan for water resource management of the country, Completion of the classification of quantitative and qualitative parameters of water resources in water districts of Greece, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 549 pages, Ministry of Development, Athens, January 2003.
  23. D. Koutsoyiannis, A. Efstratiadis, G. Karavokiros, A. Koukouvinos, N. Mamassis, I. Nalbantis, E. Rozos, Ch. Karopoulos, A. Nassikas, E. Nestoridou, and D. Nikolopoulos, Master plan of the Athens water resource system — Year 2002–2003, Modernisation of the supervision and management of the water resource system of Athens, Report 14, 215 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 2002.
  24. A. Efstratiadis, G. Karavokiros, and D. Koutsoyiannis, Second updating of simulations of the Athens water resource system for hydrologic year 2001-02, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 13b, 25 pages, Athens, April 2002.
  25. A. Efstratiadis, G. Karavokiros, and D. Koutsoyiannis, First updating of simulations of the Athens water resource system for hydrologic year 2001-02, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 13a, 21 pages, Athens, February 2002.
  26. A. Efstratiadis, A. Koukouvinos, D. Koutsoyiannis, and N. Mamassis, Hydrological Study, Investigation of scenarios for the management and protection of the quality of the Plastiras Lake, Report 2, 70 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 2002.
  27. K. Hadjibiros, D. Koutsoyiannis, A. Andreadakis, A. Katsiri, A. Stamou, A. Valassopoulos, A. Efstratiadis, I. Katsiris, M. Kapetanaki, A. Koukouvinos, N. Mamassis, K. Noutsopoulos, G.-F. Sargentis, and A. Christofides, Overview report, Investigation of scenarios for the management and protection of the quality of the Plastiras Lake, Report 1, 23 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 2002.
  28. D. Koutsoyiannis, and N. Mamassis, Hydrological investigation of intense rainfall and sediment yield in Thriasio, Assessment of sediment generation in Thriasio, 21 pages, School of Civil Engineering – National Technical University of Athens, Athens, 2001.
  29. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, Second updating of simulations of the Athens water resource system for hydrologic year 2000-01, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 17 pages, Athens, June 2001.
  30. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, First updating of simulations of the Athens water resource system for hydrologic year 2000-01, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 14 pages, Athens, February 2001.
  31. D. Zarris, E. Lykoudi, and D. Koutsoyiannis, Final Report, Appraisal of river sediment deposits in reservoirs of hydropower dams, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 243 pages, October 2001.
  32. D. Koutsoyiannis, A. Efstratiadis, G. Karavokiros, A. Koukouvinos, N. Mamassis, I. Nalbantis, D. Grintzia, N. Damianoglou, Ch. Karopoulos, S. Nalpantidou, A. Nassikas, D. Nikolopoulos, A. Xanthakis, and K. Ripis, Master plan of the Athens water resource system — Year 2001–2002, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 13, Athens, December 2001.
  33. D. Koutsoyiannis, and N. Mamassis, Final Report of Phase A, Modernisation of the supervision and management of the water resource system of Athens, Report 12, 63 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 2000.
  34. D. Koutsoyiannis, A. Efstratiadis, G. Karavokiros, A. Koukouvinos, N. Mamassis, I. Nalbantis, D. Grintzia, N. Damianoglou, A. Xanthakis, S Politaki, and V. Tsoukala, Master plan of the Athens water resource system - Year 2000-2001, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 5, 165 pages, Athens, December 2000.
  35. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, Hydronomeas (version 2): A system for the support of the water resources management, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 11, 84 pages, Athens, December 2000.
  36. A. Efstratiadis, and D. Koutsoyiannis, Castalia: A system for the stochastic simulation of hydrological variables, Modernisation of the supervision and management of the water resource system of Athens, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Report 9, 70 pages, Athens, December 2000.
  37. H. S. Wheater, V. S. Isham, C. Onof, R. E. Chandler, P. J. Northrop, P. Guiblin, S. M. Bate, D. R. Cox, and D. Koutsoyiannis, Technical Report 204, Generation of spatially consistent rainfall data, Contractor: Imperial College, London, 170 pages, doi:10.13140/RG.2.1.3791.1286, University College London, London, 2000.
  38. D. Koutsoyiannis, The water supply system of Athens, Development of legislation framework for the drinking water of Athens, 11 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, 1999.
  39. D. Zarris, and D. Koutsoyiannis, Final Report of Phase A, Appraisal of river sediment deposits in reservoirs of hydropower dams, 97 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, October 1999.
  40. I. Nalbantis, and D. Koutsoyiannis, Final Report of Phase C, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 3, Report 41, 100 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 1999.
  41. G. Karavokiros, D. Koutsoyiannis, and N. Mandellos, Model development for simulation and optimisation of the Eastern Sterea Hellas hydrosystem, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 3, Report 40, 161 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 1999.
  42. D. Koutsoyiannis, and M. Mimikou, Terms and specifications for hydrological data entry, National databank for hydrological and meteorological information - Hydroscope 2000, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 176 pages, May 1997.
  43. I. Nalbantis, and D. Koutsoyiannis, Final Report, Upgrading and updating of hydrological information of Thessalia, Report 4, 78 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 1997.
  44. Team of the YBET96 project, Master plan for the country's water resource management, Classification of quantitative and qualitative parameters of the water resources of Greece using geographical information systems, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 339 pages, Ministry of Development, Athens, November 1996.
  45. AFORISM final report authoring team, Final report, AFORISM: A comprehensive forecasting system for flood risk mitigation and control, Contractor: University of Bologna, 568 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Bologna, April 1996.
  46. N. Mamassis, and D. Koutsoyiannis, Hydroscope II - A preliminary application to the Thessaly water district - Final Report, Hydroscope II - Creation of a National Databank for Hydrological and Meteorological Information, 41 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 1996.
  47. D. Koutsoyiannis, G. Tsakalias, N. Mamassis, and A. Koukouvinos, Surface water resources, Integrated management of the riparian ecosystem of the Sperhios river, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 16 pages, 1995.
  48. D. Koutsoyiannis, and P. Marinos, Final Report of Phase B, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2, Report 32, 95 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 1995.
  49. G. Tsakalias, and D. Koutsoyiannis, Stage-discharge curves and derivation of discharges, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2, Report 19, 125 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, September 1995.
  50. G. Tsakalias, and D. Koutsoyiannis, A pilot model for the management of the reservoir system for the water supply of Athens, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2, Report 14, 52 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, November 1995.
  51. D. Koutsoyiannis, and A. Manetas, Computer software for the construction of IDF curves - User's manual, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2, Report 13, 41 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, November 1995.
  52. D. Koutsoyiannis, and A. Manetas, A model of stochastic simulation of hydrological time series using a simple disaggregation technique - User's manual, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2, Report 12, 57 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, November 1995.
  53. A. Manetas, and D. Koutsoyiannis, Upgrade of the computational environment for the hydrological data processing, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2, Report 11, 23 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, November 1995.
  54. NTUA Hydroscope Team, HYDROSCOPE, User manual for the database and applications for hydrology and meteorology, Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 180 pages, National Technical University of Athens, Athens, December 1994.
  55. Th. Xanthopoulos, D. Koutsoyiannis, and I. Nalbantis, Third Annual Report (1993-1994), Contribution of the National Technical University of Athens research team, AFORISM: A comprehensive forecasting system for flood risk mitigation and control, Contractor: University of Bologna, 13 pages, Bologna, 1994.
  56. NTUA Committee for the Selection of Hydroscope Infrastructure, and Workteam for the Selection of Hydroscope Infrastructure, Selection of network routers, Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information, Report 1/9, 73 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 1993.
  57. NTUA Committee for the Selection of Hydroscope Infrastructure, and Workteam for the Selection of Hydroscope Infrastructure, Selection of modems, Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information, Report 1/10, 51 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 1993.
  58. Th. Xanthopoulos, and D. Koutsoyiannis, Second Annual Report (1992-1993), Contribution of the National Technical University of Athens research team, AFORISM: A comprehensive forecasting system for flood risk mitigation and control, Contractor: University of Bologna, 11 pages, Bologna, September 1993.
  59. NTUA Committee for the Selection of Hydroscope Infrastructure, and Workteam for the Selection of Hydroscope Infrastructure, Selection of data base management system (DBMS), Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information, Report 1/2, 53 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, July 1992.
  60. NTUA Committee for the Selection of Hydroscope Infrastructure, and Workteam for the Selection of Hydroscope Infrastructure, Selection of basic computer equipment, Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information, Report 1/1, 102 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1992.
  61. P. Papanicolaou, and D. Koutsoyiannis, Guidelines for the layout of deliverable reports, Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information, Report 0/1, 16 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, July 1992.
  62. Th. Xanthopoulos, D. Koutsoyiannis, and I. Nalbantis, First Annual Report (1991-1992), Contribution of the National Technical University of Athens research team, AFORISM: A comprehensive forecasting system for flood risk mitigation and control, Contractor: University of Bologna, 74 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Bologna, June 1992.
  63. D. Koutsoyiannis, and I. Nalbantis, Final Report of Phase A, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 1, Report 10, 71 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, October 1992.
  64. D. Koutsoyiannis, Computer programmes for stochastic simulation of hydrologic time series, Evaluation of Management of the Water Resources of Sterea Hellas - Phase 1, Report 7, 87 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, October 1992.
  65. I. Nalbantis, D. Koutsoyiannis, and Th. Xanthopoulos, Final report, Assessment of methodology and results, A pilot study for the management of the Louros and Arachthos watersheds, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, April 1991.
  66. D. Koutsoyiannis, and Th. Xanthopoulos, Conclusions Summary, Appraisal of existing potential for improving the water supply of greater Athens - Phase 2, Report 19, 48 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1990.
  67. D. Koutsoyiannis, Th. Xanthopoulos, and M. Aftias, Final Report, Appraisal of existing potential for improving the water supply of greater Athens - Phase 2, Report 18, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1990.
  68. N. Stavridis, S. Roti, and D. Koutsoyiannis, Study of upgrading the hydrometeorological network of the Mornos and Evinos basins, Appraisal of existing potential for improving the water supply of greater Athens - Phase 2, Report 17, 79 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 1990.
  69. D. Koutsoyiannis, I. Nalbantis, and C. Tsolakidis, Operation scheduling of the existing water supply system, Appraisal of existing potential for improving the water supply of greater Athens - Phase 2, Report 16, 75 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1990.
  70. D. Koutsoyiannis, N. Mamassis, and I. Nalbantis, Stochastic simulation of hydrological variables, Appraisal of existing potential for improving the water supply of greater Athens - Phase 2, Report 13, 313 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, March 1990.
  71. D. Koutsoyiannis, and I. Nalbantis, Capacity assessment of the present Mornos-Yliki supply system, Appraisal of existing potential for improving the water supply of greater Athens - Phase 2, Report 8, 87 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, October 1989.
  72. D. Koutsoyiannis, and Th. Xanthopoulos, Final report of the first phase, Appraisal of existing potential for improving the water supply of greater Athens - Phase 1, Report 7, 114 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, February 1989.
  73. S. Roti, N. Mamassis, and D. Koutsoyiannis, Study of monthly hydrometeorological data, Appraisal of existing potential for improving the water supply of greater Athens - Phase 1, Report 6, 288 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, February 1989.
  74. G. Tsakiris, and D. Koutsoyiannis, Final report, Investigation of use of stormwater for irrigation - Application to the area of Archanes municipality, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 150 pages, 1988.
  75. D. Koutsoyiannis, S. Roti, and J. Tzeranis, Drawings-Maps, Hydrological investigation of the Thessalia water basin, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1988.
  76. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Stage and discharge data, Hydrological investigation of the Thessalia water basin, Appendix Δ2, 589 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, October 1988.
  77. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Stage and discharge data, Hydrological investigation of the Thessalia water basin, Appendix Δ, 559 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, October 1988.
  78. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Final Report, Hydrological investigation of the Thessalia water basin, Report 7, 105 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1988.
  79. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Monthly data processing, Hydrological investigation of the Thessalia water basin, Report 6, 354 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1988.
  80. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Hydrological study for minimum flows of Pinios river, Hydrological investigation of the Thessalia water basin, Report 5, 35 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, May 1988.
  81. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Design Floods, Hydrological investigation of the Thessalia water basin, Report 4, 107 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1988.
  82. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Rainfall depth-duration-frequency curves, Hydrological investigation of the Thessalia water basin, Report 3, 501 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1988.
  83. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Hydrometeorological measurement stations, Hydrological investigation of the Thessalia water basin, Report 2, 124 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, June 1988.
  84. D. Koutsoyiannis, and J. Tzeranis, 2nd preliminary report: Approximate water budget of the Mornos watershed, Appraisal of existing potential for improving the water supply of greater Athens - Phase 1, 32 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, April 1988.
  85. D. Koutsoyiannis, Computer programmes for hydrological data archiving end processing, Appraisal of existing potential for improving the water supply of greater Athens - Phase 1, Report 5, 71 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 1988.
  86. S. Tsimpidis, and D. Koutsoyiannis, Hydrological investigation, Environmental impacts of the irrigation project in the lake Mikri Prespa, Florina, Phase A, Contractor: Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, 1987.
  87. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Discharge measurements, Stage-discharge curves, Hydrological investigation of the Thessalia water basin, Appendix E, 197 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 1987.
  88. D. Koutsoyiannis, S. Roti, and J. Tzeranis, Rainfall data, Hydrological investigation of the Thessalia water basin, Appendix 3, 814 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 1987.
  89. D. Koutsoyiannis, S. Roti, and J. Tzeranis, Rainfall data, Hydrological investigation of the Thessalia water basin, Appendix 2, 69 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 1987.
  90. D. Koutsoyiannis, Review of hydrologic data and analyses of earlier studies, Hydrological investigation of the Thessalia water basin, Appendix 1, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, May 1987.
  91. D. Koutsoyiannis, S. Roti, J. Tzeranis, and Th. Xanthopoulos, Computer programs for hydrological data archiving and processing, Hydrological investigation of the Thessalia water basin, Report 1, 74 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 1987.
  92. Th. Xanthopoulos, A. Katsiri, A. Andreadakis, D. Koutsoyiannis, and L. Vamvakeridou-Lyroudia, Final report, Water quality and assimilative capacity investigations of Kalamas river and lake Pamvotis (Ioannina), 341 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 1984.

Miscellaneous works

  1. N. Mamassis, and D. Koutsoyiannis, Water and energy in 21th century. Views on hydroelectric production, Conference of EYDAP employees union for the world water day, Athens, 21 March 2016.
  2. D. Koutsoyiannis, and H. H. G. Savenije, Guidelines for the use of units, symbols and equations in hydrology, 2013.
  3. P. Papanicolaou, D. Koutsoyiannis, and A. Stamou, Guidelines for the presentation of academic works in the Department of Water Resources & Environmental Engineering, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, 2012.
  4. G. Karavokiros, A. Efstratiadis, and D. Koutsoyiannis, Hydronomeas: A system for supporting water resources management, 8 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, February 2002.
  5. A. Christofides, and D. Koutsoyiannis, Hydrognomon: A database for hydrological and meteorological time series and a processing system of time series, 16 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, February 2002.
  6. D. Koutsoyiannis, and A. Efstratiadis, Castalia: A system for stochastic simulation of hydrologic variables, 6 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, February 2002.

Engineering reports

  1. A. Efstratiadis, A. Koukouvinos, N. Mamassis, S. Baki, Y. Markonis, and D. Koutsoyiannis, [No English title available], , Commissioner: Ministry of Environment, Energy and Climate Change, Contractor: Exarhou Nikolopoulos Bensasson, 205 pages, February 2013.
  2. A. Koukouvinos, A. Efstratiadis, N. Mamassis, Y. Markonis, S. Baki, and D. Koutsoyiannis, [No English title available], , Commissioner: Ministry of Environment, Energy and Climate Change, Contractor: Exarhou Nikolopoulos Bensasson, 144 pages, February 2013.
  3. A. Stamou, D. Koutsoyiannis, and N. Mamassis, Technical Report, Investigation of the hydrographic network development in Mavro Vouno, Grammatiko, Attica, Greece, Commissioner: Perifereiako Tameio Anaptyxis Attikis, Contractors: A. Stamou, D. Koutsoyiannis, N. Mamassis, 40 pages, Athens, 2012.
  4. D. Koutsoyiannis, Y. Markonis, A. Koukouvinos, S.M. Papalexiou, N. Mamassis, and P. Dimitriadis, Hydrological study of severe rainfall in the Kephisos basin, Greece, Study of the management of Kephisos , Commissioner: General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: Exarhou Nikolopoulos Bensasson, Denco, G. Karavokiris, et al., 154 pages, Athens, 2010.
  5. D. Koutsoyiannis, and Y. Markonis, Hydrological study of the Xerias Basina, Magnesia, Greece, Study of urgent flood protection works of the Xerias, Seskouliotis and Kakaviotis streams, Commissioner: Prefectural Government of Magnesia, Contractor: Grafeio Mahera, Athens, 2010.
  6. D. Koutsoyiannis, Y. Markonis, A. Koukouvinos, and N. Mamassis, Hydrological study of Arachthos floods, Delineation of the Arachthos River bed in the town of Arta, Commissioner: Municipality of Arta, Contractors: ADK - Aronis Drettas Karlaftis Consulting Engineers, YDROTEK, V. Mouzos, 272 pages, 2010.
  7. D. Koutsoyiannis, N. Mamassis, and A. Efstratiadis, Essential works to ensure the established ecological flow, Specific Technical Study for the Ecological Flow from the Dam of Stratos, Commissioner: Public Power Corporation, Contractor: ECOS Consultants S.A., 22 pages, Athens, May 2009.
  8. D. Koutsoyiannis, N. Mamassis, and A. Efstratiadis, Investigation of ecological flow, Specific Technical Study for the Ecological Flow from the Dam of Stratos, Commissioner: Public Power Corporation, Contractor: ECOS Consultants S.A., 88 pages, Athens, May 2009.
  9. D. Koutsoyiannis, and N. Mamassis, Consultative report for the flood of the 12/2005-2/2006 in the region of Lower Acheloos in Aetoloacarnania, Technical consulting for the floods of Lower Acheloos and Edesseos, Commissioner: Public Power Corporation, Contractors: D. Koutsoyiannis, N. Mamassis, 29 pages, June 2008.
  10. D. Koutsoyiannis, On the method selection for areal integration of point rainfall in the Aegean islands - Technical memo, Development of tools for the water resource management of the hydrological district of Aegean islands, Commissioner: Ministry of Development, Contractors: TEM, LDK, Ydroexigiantiki, TERRAMENTOR, 4 pages, Athens, 2005.
  11. D. Koutsoyiannis, and N. Mamassis, Consultative report for the flood of December 1996 in the region of Lower Acheloos in Aetoloacarnania, Technical consulting for the floods of Lower Acheloos and Edesseos, Commissioner: Public Power Corporation, Contractors: D. Koutsoyiannis, N. Mamassis, 18 pages, Athens, June 2005.
  12. D. Koutsoyiannis, and N. Mamassis, Consultative report for the flood of December 2002 in the region of Limne Nesiou, Technical consulting for the floods of Lower Acheloos and Edesseos, Commissioner: Public Power Corporation, Contractors: D. Koutsoyiannis, N. Mamassis, 13 pages, Athens, February 2005.
  13. D. Koutsoyiannis, and N. Mamassis, Consultative report for the flood of March 1999 in the region of Limne Nesiou, Technical consulting for the floods of Lower Acheloos and Edesseos, Commissioner: Public Power Corporation, Contractors: D. Koutsoyiannis, N. Mamassis, 12 pages, Athens, May 2005.
  14. D. Koutsoyiannis, Infiltration and inflows in the foul sewer network of the Municipality of Ellomeno in Leukas, Study of sewerage and wastewater treatment of the Municipality of Ellomeno in Leukas, Contractors: , 11 pages, Athens, 2004.
  15. D. Koutsoyiannis, Rainfall idf curves for the Kanavari-Dombrena-Prodromos road, Hydraulic study for drainage of the Kanavari-Dombrena-Prodromos road, Commissioner: Prefectural Government of Boeotia, Contractor: D. Argyropoulos, 9 pages, Athens, 2004.
  16. D. Koutsoyiannis, Technical report, Characterization of the size of Zaravina lake in Delvinaki area of the prefecture of Ioannina, Commissioner: P. Mentzos, Contractor: D. Koutsoyiannis, 35 pages, Athens, 2004.
  17. A. Andreadakis, D. Koutsoyiannis, and M. Aftias, Technical report , Expertise for the quality control of engineering studies for the project "Water supply of Patra from Peiros and Parapeiros rivers", Commissioner: Ministry of Environment, Planning and Public Works, Contractors: A. Andreadakis, D. Koutsoyiannis, M. Aftias, 20 pages, Athens, 2004.
  18. D. Koutsoyiannis, and N. Mamassis, Hydrological investigation, Diversion of the Soulou Stream for the Development of Lignite Exploitations of the Public Power Corporation in the Mine of Southern Field of Region Kozani-Ptolemais, Commissioner: Public Power Corporation, Contractors: D. Koutsoyiannis, N. Mamassis, 18 pages, Public Power Corporation, Athens, 2004.
  19. C. Maksimovic, H. S. Wheater, D. Koutsoyiannis, S. Prohaska, D. Peach, S. Djordevic, D. Prodanovic, C. Makropoulos, P. Docx, T. Dasic, M. Stanic, D. Spasova, and D. Brnjos, Final Report, Analysis of the effects of the water transfer through the tunnel Fatnicko Polje - Bileca reservoir on the hydrologic regime of Bregava River in Bosnia and Herzegovina, Commissioner: Energy Financing Team, Switzerland, Contractors: CUW-UK, ICCI Limited, London, 2004.
  20. D. Koutsoyiannis, Drainage study of the football courts of Rouf and Kypsele in the Municipality of Athens, Construction of artificial lawn in the football courts of Rouf and Kypsele, Contractors: , 11 pages, Athens, 2003.
  21. N. Mamassis, A. Efstratiadis, M. Lasithiotakis, and D. Koutsoyiannis, First monitoring programme for the estimation of water resources in the Pylos-Romanos area for the water supply of the ITDA , Water resource management of the Integrated Tourist Development Area in Messenia, Commissioner: TEMES - Tourist Enterprises of Messinia, Contractor: D. Argyropoulos, 17 pages, Athens, 2003.
  22. D. Koutsoyiannis, N. Mamassis, and A. Efstratiadis, Hydrological study of the Sperhios basin, Hydrological and hydraulic study for the flood protection of the new railway in the region of Sperhios river, Commissioner: ERGA OSE, Contractor: D. Soteropoulos, Collaborators: D. Koutsoyiannis, 197 pages, Athens, January 2003.
  23. P. Marinos, M. Kavvadas, and D. Koutsoyiannis, Experts reports, Flood Protection Works of Diakoniaris Stream, Preliminary Study, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: Ydroexigiantiki, Grafeio Mahera, Ydroereyna, Collaborators: P. Marinos, M. Kavvadas, D. Koutsoyiannis, 44 pages, Athens, July 2002.
  24. A. Efstratiadis, G. M. T. Tentes, D. Koutsoyiannis, and D. Argyropoulos, Technical report, Preliminary Water Supply Study of the Thermoelectric Livadia Power Plant, Contractor: Ypologistiki Michaniki, 63 pages, Athens, 2001.
  25. D. Koutsoyiannis, Hydrological study, Engineering study for the licence of positioning of the Valorema Small Hydroelectric Project, Commissioner: YDROSAR, Contractor: D. Argyropoulos, 9 pages, Athens, 2001.
  26. D. Koutsoyiannis, Flood study, Study of the Potamos River, Corfu, Commissioner: Anaptyxiaki Demou Kerkyreon, Contractor: M. Papakosta, 46 pages, Athens, 2001.
  27. D. Koutsoyiannis, Hydrological study of the Western Road Axis, segment Antirrio-Kefalovriso, Study of the Segment Antirrio-Kefalovriso of the Western Road Axis, Commissioner: General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: NAMA, Kastor, 38 pages, Athens, 2001.
  28. D. Koutsoyiannis, I. Nalbantis, N. Mamassis, A. Efstratiadis, L. Lazaridis, and A. Daniil, Flood study, Engineering consultant for the project "Water supply of Heracleio and Agios Nicolaos from the Aposelemis dam", Commissioner: Ministry of Environment, Planning and Public Works, Contractor: Aposelemis Joint Venture, Athens, October 2001.
  29. D. Koutsoyiannis, A. Efstratiadis, N. Mamassis, I. Nalbantis, and L. Lazaridis, Hydrological study of reservoir operation, Engineering consultant for the project "Water supply of Heracleio and Agios Nicolaos from the Aposelemis dam", Commissioner: Ministry of Environment, Planning and Public Works, Contractor: Aposelemis Joint Venture, Athens, October 2001.
  30. D. Koutsoyiannis, A. Efstratiadis, and N. Mamassis, Appraisal of the surface water potential and its exploitation in the Acheloos river basin and in Thessaly, Ch. 5 of Study of Hydrosystems, Complementary study of environmental impacts from the diversion of Acheloos to Thessaly, Commissioner: Ministry of Environment, Planning and Public Works, Contractor: Ydroexigiantiki, Collaborators: D. Koutsoyiannis, 2001.
  31. D. Koutsoyiannis, N. Mamassis, D. Zarris, J. Gavriilidis, T. Papathanasiadis, and I. Nalbantis, Flow measurements and estimation of losses from DXX irrigation canal of Lower Acheloos, Estimation of losses from DXX canal in the irrigation network of Lower Acheloos, Commissioner: Division of Land Reclamation Works – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractor: NAMA, 20 pages, Division of Land Reclamation Works – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, 1999.
  32. D. Koutsoyiannis, Flood studies (Ch. 1-4 and App. 1), Study of the water supply of the wider Rhodes from Gadouras dam: Aqueduct and water treatment plant, Commissioner: Ministry of Environment, Planning and Public Works, Contractors: Grafeio Mahera, G. Kafetzopoulos - D. Benakis - I. Printatko, Ydroexigiantiki, P. Kerhoulas, 62 pages, 1998.
  33. D. Koutsoyiannis, Simulation of the operation of Gadouras reservoir, Ch. 4 of the Hydrological Study of Water Balance, Study of the water supply of the wider Rhodes from Gadouras dam: Aqueduct and water treatment plant, Commissioner: Ministry of Environment, Planning and Public Works, Contractors: Grafeio Mahera, G. Kafetzopoulos - D. Benakis - I. Printatko, Ydroexigiantiki, P. Kerhoulas, 18 pages, 1998.
  34. D. Koutsoyiannis, and L. Lazaridis, Flood study, Engineering report of the Korinthos sewer system, Study of the Xerias creek, Introductory part, Commissioner: Ministry of Environment, Planning and Public Works, Contractor: Ydroexigiantiki, 122 pages, 1998.
  35. I. Nalbantis, N. Mamassis, and D. Koutsoyiannis, Hydrological investigations of the Santorine watersheds, Concerted actions for the sector of environment in Santorine and Therasia islands, Commissioner: Cohesion Fund EU, Contractors: NAMA, SPEED, VLAR, 1998.
  36. I. Nalbantis, N. Mamassis, and D. Koutsoyiannis, Hydrological investigation - Part B: Investigation of flow duration characteristics, Engineering study of the hydraulic project of old and new river bed of Peneios in Larisa, Commissioner: Ministry of Environment, Planning and Public Works, Contractors: Th. Gofas and Partners, Petra Synergatiki, D. Koutsoudakis, Helliniki Meletitiki, G. Kafetzopoulos - D. Benakis - I. Printatko, 100 pages, 1997.
  37. I. Nalbantis, N. Mamassis, and D. Koutsoyiannis, Hydrological investigation - Part A, Engineering study of the hydraulic project of old and new river bed of Peneios in Larisa, Commissioner: Ministry of Environment, Planning and Public Works, Contractors: Th. Gofas and Partners, Petra Synergatiki, D. Koutsoudakis, Helliniki Meletitiki, G. Kafetzopoulos - D. Benakis - I. Printatko, 148 pages, 1997.
  38. P. Panagopoulos, A. Dakanalis, K. Triantafillou, D. Mertziotis, I. Nalbantis, N. Mamassis, G. Tsakalias, and D. Koutsoyiannis, Final Report, Water resources management of the Evinos river basin and hydrogeological study of the Evinos karstic system, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: P. Panagopoulos, General Studies, Istria, Ecosystems Analysis, 1996.
  39. A. Kotronarou, S. Kaimaki, G. Baloutsos, and D. Koutsoyiannis, Technical report, Assessment of the influence of forest fire of 1995 in the increase of sediment yield of the Megalo Rema in Raphena, Commissioner: Prefectural Government of Eastern Attica, Contractors: , November 1996.
  40. D. Koutsoyiannis, Study of the operation of reservoirs , General outline of the Acheloos River diversion project, Contractor: Directorate for Acheloos Diversion Works – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Collaborators: G. Kalaouzis, ELECTROWATT, P. Marinos, D. Koutsoyiannis, 420 pages, 1996.
  41. D. Koutsoyiannis, Hydrological investigation, General outline of the Acheloos River diversion project, Contractor: Directorate for Acheloos Diversion Works – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Collaborators: G. Kalaouzis, ELECTROWATT, P. Marinos, D. Koutsoyiannis, 44 pages, 1996.
  42. I. Nalbantis, N. Mamassis, and D. Koutsoyiannis, Hydrological study, Water resources management of the Evinos river basin and hydrogeological study of the Evinos karstic system, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: P. Panagopoulos, General Studies, Istria, Ecosystems Analysis, Report number II, Athens, 1996.
  43. D. Koutsoyiannis, N. Mamassis, and I. Nalbantis, Appraisal of the surface water potential and its exploitation in the Acheloos river basin and in Thessaly, Ch. 5 of Study of Hydrosystems, Integrated study of the environmental impacts from Acheloos diversion, Contractor: Directorate for Acheloos Diversion Works – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Collaborators: Ydroexigiantiki, 150 pages, 1995.
  44. D. Koutsoyiannis, I. Nalbantis, and N. Mamassis, Hydrological investigation - Annex, Engineering study for improving the water supply of Athens with the construction of a dam at the Evinos River, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: OTME, Ydroilektriki, YDROTEK, D. Constantinidis, G. Karavokiris, Th. Gofas and Partners, 82 pages, 1991.
  45. D. Koutsoyiannis, I. Nalbantis, and N. Mamassis, Hydrological investigation - Appendices E-F, Engineering study for improving the water supply of Athens with the construction of a dam at the Evinos River, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: OTME, Ydroilektriki, YDROTEK, D. Constantinidis, G. Karavokiris, Th. Gofas and Partners, 204 pages, 1991.
  46. D. Koutsoyiannis, I. Nalbantis, and N. Mamassis, Hydrological investigation - Appendices A-D, Engineering study for improving the water supply of Athens with the construction of a dam at the Evinos River, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: OTME, Ydroilektriki, YDROTEK, D. Constantinidis, G. Karavokiris, Th. Gofas and Partners, 233 pages, 1991.
  47. D. Koutsoyiannis, I. Nalbantis, and N. Mamassis, Hydrological investigation - Report, Engineering study for improving the water supply of Athens with the construction of a dam at the Evinos River, Commissioner: Directorate of Water Supply and Sewage – General Secretariat of Public Works – Ministry of Environment, Planning and Public Works, Contractors: OTME, Ydroilektriki, YDROTEK, D. Constantinidis, G. Karavokiris, Th. Gofas and Partners, 192 pages, 1991.
  48. D. Constantinidis, and D. Koutsoyiannis, Hydrological study, Master plan of the land reclamation works of the Arta plain, Commissioner: Ministry of Agriculture, Contractors: Ydrodomiki, D. Constantinidis, Ydroexigiantiki, Abramopoulos, Report number II, 86 pages, 1990.
  49. D. Koutsoyiannis, and R. Matisen, Hydrological study, Ch. 9 of the Engineering Report, Engineering study of the regulation of the Kallithea Stream in Mytilene, Commissioner: Ministry of National Education, Contractor: TENET, 19 pages, November 1988.
  50. D. Constantinidis, and D. Koutsoyiannis, Hydrological study, Study of the Faneromeni dam in Mesara, Crete - Engineering report, Commissioner: Ministry of Agriculture, Contractors: D. Constantinidis, Grafeio Doxiadi, Report number 3, 100 pages, November 1988.
  51. D. Constantinidis, and D. Koutsoyiannis, Hydrological study - Tables, Study of the Plakiotissa dam in Mesara, Crete - Engineering report, Commissioner: Ministry of Agriculture, Contractors: D. Constantinidis, Grafeio Doxiadi, Report number 4, 200 pages, May 1986.
  52. D. Constantinidis, and D. Koutsoyiannis, Hydrological study, Study of the Plakiotissa dam in Mesara, Crete - Engineering report, Commissioner: Ministry of Agriculture, Contractors: D. Constantinidis, Grafeio Doxiadi, Report number 3, 119 pages, May 1986.
  53. D. Constantinidis, and D. Koutsoyiannis, Hydrological study - Tables, Engineering study of the flood protection works in the Boeoticos Kephisos river basin, Commissioner: Ministry of Public Works, Contractor: D. Constantinidis, 216 pages, November 1985.
  54. D. Constantinidis, and D. Koutsoyiannis, Hydrological study - Report, Engineering study of the flood protection works in the Boeoticos Kephisos river basin, Commissioner: Ministry of Public Works, Contractor: D. Constantinidis, Report number 12, 81 pages, November 1985.
  55. D. Koutsoyiannis, Heliolousto Dam, Updated hydrological study III, Engineering study of the flood protection and drainage works and the dam in the Artzan-Amatovo region, Commissioner: Ministry of Public Works, Contractors: OTME, D. Constantinidis, METER, Report number 11, 180 pages, April 1985.
  56. R. Ruoss, and D. Koutsoyiannis, Hydraulic analyses, Appendix C in Appendices to Engineering Studies I, Arachthos River, Steno - Kalaritikos hydroelectric project, Engineering Report, Commissioner: Public Power Corporation, Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG), Report number 4, 140 pages, Athens, August 1984.
  57. R. Ruoss, and D. Koutsoyiannis, Hydrology, Ch. 4 in Engineering Studies I, Arachthos River, Steno - Kalaritikos hydroelectric project, Engineering Report, Commissioner: Public Power Corporation, Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG), Report number 2, 17 pages, Athens, August 1984.
  58. D. Koutsoyiannis, and P. van der Riet, Hydrology, Ch. 5, Arachthos River, Aghios Nicolaos hydroelectric project, Engineering Report, Commissioner: Public Power Corporation, Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG), Report number 2, 38 pages, Athens, August 1984.
  59. E. Vassilopoulos, E. Karalis, and D. Koutsoyiannis, Technical report, Preliminary study of the water supply of Karystos and Kallianos municipalities from the Demosari springs, Commissioner: Prefectural Fund of Euboea, Contractor: E. Vassilopoulos, Report number 1, 82 pages, April 1983.
  60. E. Vassilopoulos, and D. Koutsoyiannis, Hydraulic analyses, Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Engineering report, Commissioner: Prefectural Fund of Peiraias, Contractor: E. Vassilopoulos, Report number 7, 24 pages, May 1983.
  61. E. Vassilopoulos, D. Koutsoyiannis, and E. Liosis, Economical analyses, Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Engineering report, Commissioner: Prefectural Fund of Peiraias, Contractor: E. Vassilopoulos, Report number 5-6, 74 pages, May 1983.
  62. E. Vassilopoulos, and D. Koutsoyiannis, Technical specifications, Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Engineering report, Commissioner: Prefectural Fund of Peiraias, Contractor: E. Vassilopoulos, Report number 4, 66 pages, May 1983.
  63. E. Vassilopoulos, and D. Koutsoyiannis, Technical report, Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Engineering report, Commissioner: Prefectural Fund of Peiraias, Contractor: E. Vassilopoulos, Report number 2, 30 pages, May 1983.
  64. D. Koutsoyiannis, Summary report, Study of the sewer system of Neapolis, Lasithi, Engineering report, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 12, 7 pages, January 1983.
  65. D. Koutsoyiannis, and E. Karakosti, General and special indenture, Study of the sewer system of Neapolis, Lasithi, Engineering report, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 10, 24 pages, January 1983.
  66. D. Koutsoyiannis, and M. Goudelis, Cost analyses, Study of the sewer system of Neapolis, Lasithi, Engineering report, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 6, 59 pages, January 1983.
  67. D. Koutsoyiannis, Estimation of quantities , Study of the sewer system of Neapolis, Lasithi, Engineering report, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 5, 148 pages, January 1983.
  68. D. Koutsoyiannis, and E. Karakosti, Structural analyses of sewer works, Study of the sewer system of Neapolis, Lasithi, Engineering report, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 3, 62 pages, January 1983.
  69. D. Koutsoyiannis, Technical report, Study of the sewer system of Neapolis, Lasithi, Engineering report, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, January 1983.
  70. D. Koutsoyiannis, Hydrology report and study of erosion and flood protection, Study for the restoration, fixing, protection and prominence of the archaeological monument of Knossos , Commissioner: Ministry of Culture and Sciences, Contractor: I. Skandalis, Collaborators: P. Melissaris, D. Koutsoyiannis, Report number 5, 53 pages, November 1983.
  71. D. Koutsoyiannis, Study of hydrology, Engineering study of sewer system and the wastewater treatment plant of Farsala, Commissioner: Ministry of Public Works, Contractor: METER, 24 pages, June 1983.
  72. D. Constantinidis, and D. Koutsoyiannis, Hydrological study - Tables, Master plan of Dereio dam, Commissioner: Ministry of Public Works, Contractors: Grafeio Doxiadi, D. Constantinidis, Report number 3, 218 pages, August 1983.
  73. D. Constantinidis, and D. Koutsoyiannis, Hydrological study - Report and diagrams, Master plan of Dereio dam, Commissioner: Ministry of Public Works, Contractors: Grafeio Doxiadi, D. Constantinidis, Report number 2, 129 pages, August 1983.
  74. D. Koutsoyiannis, and P. van der Riet, Hydrology, Ch. 5 in Engineering Studies, Arachthos River, Middle Course hydroelectric projects, Master Plan, Commissioner: Public Power Corporation, Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG), Report number 2, 38 pages, Athens, October 1983.
  75. E. Vassilopoulos, and D. Koutsoyiannis, Economical data, Master plan of the foul sewer system of Kanallaki, Preveza, Commissioner: Prefectural Fund of Preveza, Contractor: E. Vassilopoulos, Report number 3, 5 pages, December 1982.
  76. E. Vassilopoulos, and D. Koutsoyiannis, Hydraulic analyses, Master plan of the foul sewer system of Kanallaki, Preveza, Commissioner: Prefectural Fund of Preveza, Contractor: E. Vassilopoulos, Report number 2, 13 pages, December 1982.
  77. D. Koutsoyiannis, Technical report, Alternative studies for the irrigation of the Lasithi plateau, Commissioner: Prefectural Fund of Lasithi, Contractors: METER, Exarxou and Nikolopoulos, Kalatzopoulos, 90 pages, Athens, October 1982.
  78. D. Koutsoyiannis, Summary report, Alternative studies for the irrigation of the Lasithi plateau, Commissioner: Prefectural Fund of Lasithi, Contractors: METER, Exarxou and Nikolopoulos, Kalatzopoulos, 27 pages, October 1982.
  79. P. van der Riet, and D. Koutsoyiannis, Chapter 6: Hydrology, in Report of alternative studies, Arachthos River, Middle Course hydroelectric projects, Alternative studies, Commissioner: Public Power Corporation, Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG), 11 pages, Athens, March 1982.
  80. D. Koutsoyiannis, Study of surface hydrology, Alternative studies for the irrigation of the Lasithi plateau, Commissioner: Prefectural Fund of Lasithi, Contractors: METER, Exarxou and Nikolopoulos, Kalatzopoulos, Report number 1, 59 pages, October 1982.
  81. D. Koutsoyiannis, E. Vassilopoulos, and E. Karalis, Hydrological study - Tables and diagrams, Engineering study of the flood protection and drainage works and the dam in the Artzan-Amatovo region, Commissioner: Ministry of Public Works, Contractors: OTME, D. Constantinidis, METER, Report number 2, 154 pages, March 1982.
  82. D. Koutsoyiannis, E. Vassilopoulos, and E. Karalis, Hydrological study - Report , Engineering study of the flood protection and drainage works and the dam in the Artzan-Amatovo region, Commissioner: Ministry of Public Works, Contractors: OTME, D. Constantinidis, METER, Report number 1, 70 pages, March 1982.
  83. E. Vassilopoulos, and D. Koutsoyiannis, Technical report, Preliminary study of the sewer system of Kanallaki, Preveza, Commissioner: Prefectural Fund of Preveza, Contractor: E. Vassilopoulos, 55 pages, October 1981.
  84. E. Vassilopoulos, and D. Koutsoyiannis, Report on foul sewer system, Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Preliminary study, Commissioner: Prefectural Fund of Peiraias, Contractor: E. Vassilopoulos, Report number 1, 43 pages, December 1981.
  85. D. Koutsoyiannis, and E. Karakosti, Wastewater treatment plant - Contract data, Study of the sewer system of Neapolis, Lasithi, Master plan, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 7, 54 pages, July 1981.
  86. D. Koutsoyiannis, Foul and storm sewer networks - Technical report, Study of the sewer system of Neapolis, Lasithi, Master plan, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 1, 49 pages, July 1981.
  87. D. Koutsoyiannis, Foul and storm sewer networks - Economical data, Study of the sewer system of Neapolis, Lasithi, Master plan, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 2, 13 pages, July 1981.
  88. D. Koutsoyiannis, Hydrological study, Study of the sewer system of Neapolis, Lasithi, Master plan, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, Report number 4, 20 pages, July 1981.
  89. D. Koutsoyiannis, Technical report, Study of the sewer system of Neapolis, Lasithi, Alternative studies, Commissioner: Prefectural Fund of Lasithi, Contractor: G. Koukourakis and Colleagues, April 1980.
  90. D. Koutsoyiannis, and A. Psilopoulos, Hydraulic analyses, Engineering study of the sewer system of the Karpenesi municipality, Commissioner: Prefectural Fund of Evritania, Contractor: A. Psilopoulos, 1979.
  91. A. Psilopoulos, and D. Koutsoyiannis, Hydraulic analyses, Engineering study of the sewer system of the Karpenesi municipality, Commissioner: Prefectural Fund of Eleia, Contractor: A. Psilopoulos, 1978.

Details on research projects

Participation as Project Director

  1. Upgrade of the hydraulics laboratory for the modeling of water supply networks & design and operation optimization study

    Duration: September 2012–August 2015

    Budget: €34 422

    Commissioned by: Research Promotion Foundation of Cyprys

    Contractors:

    1. Cyprus University of Technology
    2. Water Development Department of Cyprus
    3. Department of Water Resources and Environmental Engineering
    4. ISOTHERM Ltd.
    5. Paphos Municipality

    Project director: D. Koutsoyiannis

    Principal investigator: P. Papanicolaou

    The main components of the project are: (a) Upgrading of the existing technological equipment of the Cyprus University of Technology, for supporting the research needs; (b) Development of a digital imprint of a selected water supply network (Paphos Municipality), with combined use of state-of-the-art technologies, such as GPS, GIS and SRS; (c) Development of a generalized modelling framework and related computational/mathematical tools (in terms of hydraulic simulation models and multiobjective evolutionary algorithms), which will be tested in the optimization of the design and operation of the pilot water supply network; (d) Development of an experimental representation aimed at improving the design and operation of the network and its systems, (e) Experimental verification of the computational results and development of know-how in matters relating to systems of supervision and self-regulation of pumps and valves. NTUA mainly contributes in water supply network modelling issues, focusing on the development of the optimization framework and their integration within a computational system. Moreover, NTUA provides support in the formulation of the specifications for the upgrading of the laboratory equipment and the implementation of the experiments.

  1. Combined REnewable Systems for Sustainable ENergy DevelOpment (CRESSENDO)

    Duration: February 2014–July 2015

    Budget: €315 000

    Commissioned by: General Secretariat of Research and Technology

    Contractor: Department of Water Resources and Environmental Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: N. Mamassis

    Programme: Αριστεία ΙΙ

    The project's objective is to develop a holistic framework for optimal planning and management of large-scale hybrid renewable energy systems, in which hydropower plays the dominant role. The scale refers to both the size of energy units and their spatial extent, and is of major importance, as efficiency increases with scale, while uncertainty decreases. Outcomes of the research include a coherent stochastic-entropic theory for uncertainty assessment of the processes that are related to energy production (wind velocity, solar radiation, streamflow), and a parameterization-simulation-optimization scheme inspired from established system-based approaches for supporting optimal decision-making in complex water management problems. The whole framework is integrated within a decision support system (DSS), in which several software tools are integrated . The methodology and the DSS are tested at a large region that covers 12% of Greece, characterized by substantial hydropower potential. The study area is viewed as a closed and energy-autonomous system, in order to investigate the perspectives of sustainable development at a regional scale, using exclusively renewable energy sources. Following the principle of openness, we provide free accessibility to data, methods and tools, through a broad range of dissemination activities.

  1. DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools

    Duration: March 2011–March 2014

    Budget: €145 000

    Commissioned by: General Secretariat of Research and Technology

    Contractors:

    1. ETME: Peppas & Collaborators
    2. Grafeio Mahera
    3. Department of Water Resources and Environmental Engineering
    4. National Observatory of Athens

    Project director: D. Koutsoyiannis

    Principal investigator: N. Mamassis

    Programme: ΕΣΠΑ "Συνεργασία"

    The project aims to develop a set of physically-based methodologies associated with modelling and forecasting of extreme rainfall events and the subsequent flood events, and adapted to the peculiarities of the hydroclimatic and geomorphological conditions of Greece. It includes the implementation of a set of research river basins that comprises a number of gauged basins in Greece and Cyprus with reliable measurements of adequate length, as well as three new experimental basins (with their sub-basins), which will be equipped with the necessary infrastructure. From the field data analysis (hydrological, meteorological, geographical) physically-established regional models will be devoloped for the estimation of characteristic hydrological design quantities, along with hydrological-hydraulic models, which will be integrated within an operational system for hydrometeorological forecasting. A framework of design criteria and methodologies (in a draft form for discussion) will be prepared for the elaboration of hydrological studies for flood-prevention works.

    Project web-page: http://deucalionproject.gr/

  1. Integrated study for the investigation of the quantity, quality and recovery of the underwater springs of the Stoupa region in Municipality of Lefktros, Messinia

    Duration: January 2009–December 2010

    Budget: €220 000

    Commissioned by:

    1. Municipality of Lefktros
    2. Prefectural Government of Messinia

    Contractors:

    1. Hellenic Centre for Marine Research
    2. Agricultural University of Athens
    3. National Technical University of Athens

    Project director: D. Koutsoyiannis

    Principal investigator: P. Papanicolaou

    The main objective of the project is to investigate the possibility of exploitation of the underwater springs of Stoupa, in the Municipality of Lefktra. The contribution of NTUA is the evaluation of the possible freshwater capture works from the underwater spring. The project comprises two stages: (a) the investigation of the problem and the development of a methodology for the capture, transport and temporary storage of the freshwater, which includes field work in a pilot study, and the construction and testing of the temporary pilot facility, and (b) the outline of the works required for the transport and storage of potable water.

  1. Flood risk estimation and forecast using hydrological models and probabilistic methods

    Duration: February 2007–August 2008

    Budget: €15 000

    Commissioned by: National Technical University of Athens

    Contractor: Department of Water Resources and Environmental Engineering

    Collaborators: Hydrologic Research Center

    Project director: D. Koutsoyiannis

    Principal investigator: S.M. Papalexiou

    Programme: Πρόγραμμα Βασικής Έρευνας ΕΜΠ "Κωνσταντίνος Καραθεοδωρή"

    The objective of this project is the development of an integrated framework for the estimation and forecast of flood risk using stochastic, hydrological and hydraulics methods. The study area is the Boeticos Kephisos river basin. The project includes analysis of severe storm episodes in the basin, the understanding of mechanisms of flood generation in this karstic basin and the estimation of flood risk in characteristic sites of the hydrosystem.

  1. Nonlinear methods in multicriteria water resource optimization problems

    Duration: November 2002–December 2007

    Budget: €33 274

    Commissioned by: Ministry of National Education

    Contractor: National Technical University of Athens

    Project director: D. Koutsoyiannis

    Principal investigator: A. Efstratiadis

    Programme: Ηράκλειτος

  1. Support on the compilation of the national programme for water resources management and preservation

    Duration: February 2007–May 2007

    Budget: €45 000

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractor: Department of Water Resources and Environmental Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: A. Andreadakis

    This project updates and expands a previous research project (Classification of quantitative and qualitative parameters of water resources in water districts of Greece), which has been commissioned by the Ministry of Development and conducted by the same team of NTUA in co-operation with the Ministry of Development, IGME, and KEPE.

    The project includes defining the methodology, analyzing the water resources in the 14 water districts, quantity and quality and the relations between them, describing the existing administrative and development frameworks for water resources management and protection presenting the national, peripheral and sectoral water-related policies, and proposing an approach to a water resource management and protection programme (conclusions, problems, solutions, and proposals for projects and measures).

  1. Investigation of management scenarios for the Smokovo reservoir

    Duration: November 2005–December 2006

    Budget: €60 000

    Commissioned by: Special Directorate for the Management of Corporate Programs of Thessaly

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: N. Mamassis

    Programme: Επιχειρησιακά Σχέδια Διαχείρισης Δικτύων Σμοκόβου

  1. Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS)

    Duration: July 2003–June 2006

    Budget: €779 656

    Commissioned by: General Secretariat of Research and Technology

    Contractor: NAMA

    Collaborators:

    1. Department of Water Resources, Hydraulic and Maritime Engineering
    2. Municipal Company of Water Supply and Sewerage of Karditsa
    3. Aeiforiki Dodekanisou
    4. Marathon Data Systems

    Project director: D. Koutsoyiannis

    Principal investigator: A. Andreadakis

    Programme: ΕΠΑΝ, Φυσικό Περιβάλλον και Βιώσιμη Ανάπτυξη

    The project aims at providing support to decision-making processes within the direction of integrated management of water resource systems at a variety of scales. Several methodologies and computing tools are developed, which are incorporated into an integrated information system. The main deliverable is an operational software package of general use, which is evaluated and tested on two pilot case studies, concerning hydrosystems in Greece with varying characteristics (Karditsa, Dodecanesus). The end-product of the project is a software system for simulation and optimisation of hydrosystem operation, as well as a series of separate software applications for solving specific problems, aiming at producing input data to the central system or post-processing of the results. The project includes eleven work packages, eight for basic research, two for industrial research and one for the pilot applications.

  1. Testing of the new measuring system of the aqueduct of Mornos

    Duration: January 2001–December 2003

    Commissioned by: Water Supply and Sewerage Company of Athens

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: J. Gavriilidis

    In an earlier research project, the development of an automatic measuring system of water level meters and flow meters was proposed for the aqueduct network of the water supply of Athens. After the realisation of the measuring system, its devices should be checked for proper operation. The current project aims at scheduling and implementing a flow measurement programme at the sites where discharge meters are installed by the Water Supply and Sewerage Company of Athens (EYDAP) in the Mornos aqueduct, in order to check their accuracy based on the methodology proposed in the earlier project. Specifically, measurements are done using flow meter according to the ISO standard ISO 748 (1979, 1997; Measurement of liquid flow in open channels - Velocity-area methods). At each site 5 flow measurements (one daily measurement per month on the average) for different values of the discharge are done in steady state flow conditions. The measurements are processed appropriately, whereas for any problems of instrument inaccuracies that emerge, the appropriate solutions are studied and suggested.
  1. Modernisation of the supervision and management of the water resource system of Athens

    Duration: March 1999–December 2003

    Commissioned by: Water Supply and Sewerage Company of Athens

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: D. Koutsoyiannis

    Due to the dry climate of the surrounding region, Athens has suffered from frequent water shortages during its long history but now has acquired a reliable system for water supply. This extensive and complex water resource system extends over an area of around 4000 km2 and includes surface water and groundwater resources. It incorporates four reservoirs, 350 km of main aqueducts, 15 pumping stations and more than 100 boreholes. The water resource system also supplies secondary uses such as irrigation and water supply of nearby towns. The Athens Water Supply and Sewerage Company (EYDAP) that runs the system commissioned this project, which comprises: (a) development of a geographical information system for the representation and supervision of the external water supply system; (b) development of a measurement system for the water resources of Athens; (c) development of a system for the estimation and prediction of the water resource system of Athens utilising stochastic models; (d) development of a decision support system for the integrated management of water resource system of Athens using simulation-optimisation methodologies; and (e) cooperation and transfer of knowledge between NTUA and EYDAP.

    Products: 17 reports; 14 publications

  1. Completion of the classification of quantitative and qualitative parameters of water resources in water districts of Greece

    Duration: November 2001–April 2003

    Commissioned by: Directorate of Water and Natural Resources

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators: Directorate of Water and Natural Resources

    Project director: D. Koutsoyiannis

    Principal investigator: D. Mamais

    The project continues an earlier study elaborated by the Ministry of Development, the Department of Water Resources of the National Technical University of Athens, the Institute of Geology & Mineral Exploration, and the Centre of Planning and Research.The project objective is the classification of the existing information related to water quantity and quality in characteristic areas (water districts) of Greece, using geographical information systems. The specific objective of this phase is the analysis of water supply and demand balance, and the qualitative characterisation of water resources in four water districts of Greece.

  1. Appraisal of river sediment deposits in reservoirs of hydropower dams

    Duration: February 1998–October 2001

    Commissioned by:

    1. General Secretariat of Research and Technology
    2. Public Power Corporation

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: D. Koutsoyiannis

    The objective of this research project is the estimation of the sediment deposits in reservoirs of hydropower dams. Specifically, an estimation of the volume of deposits in one of the reservoirs of the Public Power Corporation (the Kremasta Reservoir) is done using hydrographic methods. The estimation is used as a basis to calibrate a mathematical model of sediment discharge, which accounts for the processes involved such as soil erosion, sediment transport and deposition.

  1. Evaluation of Management of the Water Resources of Sterea Hellas - Phase 3

    Duration: November 1996–December 2000

    Commissioned by: Directorate of Water Supply and Sewage

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: D. Koutsoyiannis

    The main objectives of the research project are the evaluation and management of the water resources, both surface and subsurface, of the Sterea Hellas region, and the systematic study of all parameters related to the rational development and management of the water resources of this region. Another objective of the project, considered as an infrastructure work, is the development of software for the hydrological, hydrogeological and operational simulation of the combined catchments of the study area. The development of the software and, at the same time, the development of methodologies suitable for the Greek conditions will assist in decision-making concerning the water resources management of Sterea Hellas and of other Greek regions. The project also aims at the improving of the cooperation between the National Technical University of Athens and the Ministry of Environment, Planning and Public Works. This is considered as a necessary condition for the continuous updating of the project results as well as for the rational analysis of the water resource problems of the Sterea Hellas region. The specific themes of Phase 3 are: (a) the completion of the information systems of the previous phases, which concerned hydrological and hydrogeological information, by including two additional levels of information related to the water uses and the water resources development works; (b) the development of methodologies for optimising the hydrosystems operation and the construction of integrated simulation and optimisation models for the two major hydrosystems of the study area (Western and Eastern Sterea Hellas); and (c) the integration of all computer systems (databases, geographical information systems, application models) into a unified system with collaborating components.

  1. Systematisation of the raw data archive of surface and subsurface waters of the Ministry of Agriculture in Thessalia

    Duration: February 1997–January 1999

    Commissioned by: Department of Hydrogeology, Boreholes and Mathematical Models

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: I. Nalbantis

    The project aims at the modernisation of the archive of surface and subsurface water related data of the Ministry of Agriculture in the Thessalia region (mainly data on quantities of the drafts from both surface waters and groundwater pumped from public or private boreholes). It also includes the data organisation into a geographical information system and the data evaluation and processing, from which the evapotranspiration of the area is estimated using semi-empirical methods.

  1. Upgrading and updating of hydrological information of Thessalia

    Duration: May 1996–March 1997

    Commissioned by: Directorate for Acheloos Diversion Works

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: I. Nalbantis

    The project includes the updating of existing archives of hydrometeorological data with the new measurements, and the upgrading of the databases using the new computational environment of the Hydroscope project. It also includes data processing and analysis in order to obtain a reliable and consistent hydrometeorological data set. The databases are linked to a geographical information system that is used for the processing and the visualisation of information. Based on this processing, the basic parameters of the water potential of the area are estimated and their geographical distribution is studied with emphasis on the recent persistent drought.

  1. Classification of quantitative and qualitative parameters of the water resources of Greece using geographical information systems

    Duration: February 1996–September 1996

    Commissioned by: Directorate of Water and Natural Resources

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators:

    1. Directorate of Water and Natural Resources
    2. Institute of Geological and Mining Research
    3. Centre for Research and Planning

    Project director: D. Koutsoyiannis

    Principal investigator: A. Andreadakis

    The project part related to water quantity aims at the development of a methodology for establishing a water balance between supply and demand and extracting the most important summary characteristics that are then entered into a geographical information system. The methodology is applied to characteristic areas (water districts) of Greece with adequacy of information (based on existing studies). The project part related to water quality aims at the characterisation of the rivers, lakes and aquifers based on the water quality characteristics, and the water uses and requirements. The characterisation is based on the classification of critical quantity parameters that have been measured and includes the use of a geographical information system.

  1. Hydroscope II - Creation of a National Databank for Hydrological and Meteorological Information

    Duration: April 1993–September 1995

    Commissioned by:

    1. Ministry of Agriculture
    2. Ministry of the Industry
    3. Ministry of Environment, Planning and Public Works
    4. Water Supply and Sewerage Company of Athens
    5. Public Power Corporation

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: D. Koutsoyiannis

    Principal investigator: D. Koutsoyiannis

    This project is complementary to the major Hydroscope project. Its objectives are the purchase of computational infrastructure and the pilot data entry into the databank that is developed in the framework of the major project. The data entered provides a means for testing of the operation of the distributed database and the wide area network, and the operational use of the related infrastructure.

  1. Hydroscope: Creation of a National Databank for Hydrological and Meteorological Information

    Duration: January 1992–December 1993

    Budget: 394 238 400 DRS (about €1 600 000)

    Commissioned by:

    1. General Secretariat of Research and Technology
    2. Ministry of the Industry
    3. Hellenic National Meteorological Service
    4. Ministry of Agriculture
    5. Ministry of Environment, Planning and Public Works
    6. National Observatory of Athens
    7. Water Supply and Sewerage Company of Athens
    8. National Centre for Scientific Research "Democritos"
    9. Ministry of National Education

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators:

    1. Division of Hydraulics and Environmental Engineering
    2. Division of Applications Physics
    3. Energy Division
    4. Hellenic National Meteorological Service
    5. Department for the Development of Hydroelectric Works
    6. Directorate of Water and Natural Resources
    7. General Secretariat of Land Reclamation Works and Agricultural Structures
    8. General Secretariat of Public Works
    9. Institute of Meteorology and Physics of the Atmospheric Environment
    10. Centre for Renewable Energy Sources
    11. Water Supply and Sewerage Company of Athens
    12. National Centre for Scientific Research "Democritos"
    13. Greek Corporation of Regional Governent and Development

    Project director: D. Koutsoyiannis

    Principal investigators: M. Aftias, D. Koutsoyiannis

    Programme: STRIDE

    The main objective of HYDROSCOPE is the creation of a modern information infrastructure for the hydrological cycle in Greece. Specifically, it aims at organising and systematising the hydrological, hydrogeological and meteorological information using the capacities that are provided by the modern methods and techniques of computer science and telecommunications. The database, which will be built, will contribute to the reliable programming, planning and management of the water resources of the country, the mitigation of phenomena like flood and drought, the evaluation of hydroclimatic parameters and their effects to the natural and biological environment, the diagnosis of climatic changes as well as the prediction and the control of the air pollution and the groundwater and surface water pollution. The development of a unified synergistic network, the information exchange and the co-ordination of the activities of the participating organisations, which are involved with the components of the hydrological cycle (Universities, Research Centres, Ministries and Services) as well as the reorganisation and standardisation of the hydrometeorological networks' function are considered as indirect but essential benefits. The programme includes: (a) hardware equipment, to install a network with 13 major nodes (RISC Workstations with Unix operation system) in Athens and Thessaloniki, local networks of PCs in each node, private high speed wide area network using routers and leased telephone lines, (b) infrastructure software, and specifically, distributed relational data base and graphic environment for applications' development, and (c) application software, and specifically, a distributed database system and applications concerning the input, the supervision and the processing of data in a graphic environment. This distributed database system provides firstly, the autonomy of each participant in managing data and secondly, a transparent, relatively to the data position, access. In addition, the project includes the locating of the available hydrological, hydrogeological and meteorological data that is maintained by the participants and the determination of the volume, the form and the reliability of measurements. Finally, a significant part of HYDROSCOPE deals with the development and the standardisation of methodologies regarding the processing as well as the pilot data entry of a part of the hydrological, hydrogeological and meteorological information aiming at the testing of the methodologies and systems.

Participation as Principal Investigator

  1. Maintenance, upgrading and extension of the Decision Support System for the management of the Athens water resource system

    Duration: October 2008–November 2011

    Budget: €72 000

    Project director: N. Mamassis

    Principal investigator: D. Koutsoyiannis

    This research project includes the maintenance, upgrading and extension of the Decision Support System that developed by NTUA for EYDAP in the framework of the research project “Updating of the supervision and management of the water resources’ system for the water supply of the Athens’ metropolitan area”. The project is consisted of the following parts: (a) Upgrading of the Data Base, (b)Upgrading and extension of hydrometeorological network, (c) upgrading of the hydrometeorological data process software, (d) upgrading and extension of the Hydronomeas software, (e) hydrological data analysis and (f) support to the preparation of the annual master plans

  1. Building the Future of Transnational Cooperation in Water Resources in South East Europe (EDUCATE!)

    Duration: May 2006–August 2008

    Budget: €200 000

    Commissioned by: European Union

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators:

    1. School of Chemical Engineering
    2. University of Ljubljana
    3. Technical University of Bucharest
    4. University of Belgrade
    5. IRTCUD

    Project director: A. Katsiri

    Principal investigator: D. Koutsoyiannis

    Programme: Interreg IIIB CADSES (Neighborhood Programme)

    Educate! assists in shaping current and future policy and practice in Water Resources Management in SE Europe, through professional capacity building and provision of a common understanding of IWRM for young graduates within a cooperative, transnational environment. Specifically, Educate! is: 1. Setting up and operate a network of Higher Education Organisations in SE Europe with an expertise in Environmental Protection and Water Resources Management; 2. Developping a transnational postgraduate course on Integrated Water Resources Management; 3. Developping a flexible structure for delivering the course across geographic areas and across different audiences (from students to professionals) through e-learning and a modular format and 4. Running a pilot transnational postgraduate course and professional educational and training courses for governmental officials and industry.

  1. Investigation of scenarios for the management and protection of the quality of the Plastiras Lake

    Duration: May 2001–January 2002

    Commissioned by:

    1. Prefectural Government of Karditsa
    2. Municipality of Karditsa

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: K. Hadjibiros

    Principal investigator: D. Koutsoyiannis

    To protect the Plastiras Lake, a high quality of the natural landscape and a satisfactory water quality must be ensured, the conflicting water uses and demands must be arranged and effective water management practices must be established. To this aim, the hydrology of the catchment is investigated, the geographical, meteorological and water power data are collected and processed, the water balance is studied and a stochastic model is constructed to support the study of alternative management scenarios. In addition, an analysis of the natural landscape is performed and the negative influences (e.g. dead tries) are determined and quantified using GIS. Furthermore, the water quality parameters are evaluated, the water quality state is assessed, the quantitative targets are determined, the pollution sources are identified and measures for the reduction of pollution are studied using a hydrodynamic model with emphasis on the nutrient status. Based on the results of these analyses, scenarios of safe water release are suggested.

  1. National databank for hydrological and meteorological information - Hydroscope 2000

    Duration: January 1997–December 2000

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: M. Mimikou

    Principal investigators: D. Koutsoyiannis, M. Mimikou

  1. Evaluation of Management of the Water Resources of Sterea Hellas - Phase 2

    Duration: November 1993–October 1995

    Commissioned by: Directorate of Water Supply and Sewage

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigators: D. Koutsoyiannis, P. Marinos

    The main objectives of the research project are the evaluation and management of the water resources, both surface and subsurface, of the Sterea Hellas region, and the systematic study of all parameters related to the rational development and management of the water resources of this region. Another objective of the project, considered as an infrastructure work, is the development of software for the hydrological, hydrogeological and operational simulation of the combined catchments of the study area. The development of the software and, at the same time, the development of methodologies suitable for the Greek conditions will assist in decision-making concerning the water resources management of Sterea Hellas and of other Greek regions. The project also aims at the improving of the cooperation between the National Technical University of Athens and the Ministry of Environment, Planning and Public Works. This is considered as a necessary condition for the continuous updating of the project results as well as for the rational analysis of the water resource problems of the Sterea Hellas region. The specific themes of Phase 2 are: (a) the conversion of the databases of the previous phase into the new computer environment based on Unix and Windows workstations; (b) the conversion of the computer programs for statistical processing of hydrologic data into the new computer environment; (c) the development of software for hydrologic data processing and the processing of the Sterea Hellas data; (d) the development of a geographical information system for hydrological and hydrogeological information; (e) the review of existing studies regarding water uses; (f) the collection, evaluation and organising of hydrogeological data; and (g) the hydrogeological study of selected watersheds.

  1. AFORISM: A comprehensive forecasting system for flood risk mitigation and control

    Duration: June 1991–May 1994

    Budget: 17 300 000 DRS (about €83 900)

    Commissioned by: DGXII / FP6-SUSTDEV-2005-3.II.1.2

    Contractor: University of Bologna

    Collaborators:

    1. National Technical University of Athens
    2. Ente Regionale di Sciluppo Agricolo
    3. University College Cork
    4. University of Newcastle
    5. Ecole Polytechnique Federale de Lausanne
    6. Instituto Superior de Agronomia, Lisbon
    7. Institut National Polytechnique de Grenoble

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    Programme: EPOCH

    The aim of this project is the development of a comprehensive flood forecasting system and the study of alternative management policies intending to flood risk mitigation. The Greek research team contributes to AFORISM in the following tasks: (a) the analysis of intense rainfall events and their classification by weather type as well as the modelling of intense rainfall and the production of alternative hyetographs of temporal evolution of rainfall; (b) the comparison of the alternative rainfall-runoff models, using multiple time steps in modelling rainfall-runoff and applying it to Greek hydrological basins. The contribution of the other research teams deal with: (a) the forecasting of spatial-temporal evolution of rainfall using limited area models; (b) the development of optimisation models in order to mitigate flood risks; (c) the development of an expert system for flood management; (d) the development of a geographical information system for visualisation of the evaluation of flood and its consequences; and (e) the integration of the forecast and control system in the Reno basin (Italy).

  1. Development of a relational data base for management and processing of hydrometric information

    Duration: September 1991–May 1993

    Commissioned by: General Secretariat of Research and Technology

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    Programme: ΠΕΝΕΔ/1989

    This project aims in utilising modern computer techniques, namely relational databases, for the management of hydrological data, and, to some extent, river flow data. It also aims in the development of software for data entry, testing, presentation, and processing of the data. Specifically, it includes: (1) development of specifications, and selection, purchase and installation of a relational database system; (2) database design on conceptual and physical level; (3) development of software for data entry and preliminary testing of data, and for conversion of data already available in other systems; (4) development of software for data processing (e.g. generation of hourly discharge time series from stage recorder tapes and discharge measurements); and (5) development of software for viewing and printing the raw hydrological data and their statistical characteristics, as well as standardisation of the most important database queries (e.g. mean discharge, maximum discharge, discharge correlation between different positions or basins, etc.)

  1. Evaluation of Management of the Water Resources of Sterea Hellas - Phase 1

    Duration: December 1990–November 1992

    Commissioned by: Directorate of Water Supply and Sewage

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    The main objectives of the research project are the evaluation and management of the water resources, both surface and subsurface, of the Sterea Hellas region, and the systematic study of all parameters related to the rational development and management of the water resources of this region. Another objective of the project, considered as an infrastructure work, is the development of software for the hydrological, hydrogeological and operational simulation of the combined catchments of the study area. The development of the software and, at the same time, the development of methodologies suitable for the Greek conditions will assist in decision-making concerning the water resources management of Sterea Hellas and of other Greek regions. The project also aims at the improving of the cooperation between the National Technical University of Athens and the Ministry of Environment, Planning and Public Works. This is considered as a necessary condition for the continuous updating of the project results as well as for the rational analysis of the water resource problems of the Sterea Hellas region. The specific objective of Phase 1 is the collection and the organising of the surface water data and the development of hydrological simulation programs.

  1. A pilot study for the management of the Louros and Arachthos watersheds

    Duration: June 1989–April 1991

    Commissioned by: Directorate of Water and Natural Resources

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators:

    1. Directorate of Water and Natural Resources
    2. Delft Hydraulics

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    The objective of the pilot study is the combined management of the surface and subsurface water resources of the Louros and Arachthos watersheds. The main target is to obtain an insight of the interrelation of the relevant quantities, to draw conclusions regarding the management of water resources of the two catchments, and to locate the issues that will require further research. An additional objective is the development of a methodology for water resources planning and management, which can be applied to other watersheds or water districts in Greece.

  1. Appraisal of existing potential for improving the water supply of greater Athens - Phase 2

    Duration: May 1989–June 1990

    Commissioned by: Directorate of Water Supply and Sewage

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    The project includes the following main components: (1) Processing and analysis of the available hydrometeorological data and estimation of the water potential of the Mornos, Evinos and Yliki watersheds. (2) Hydrologic design study of alternative reservoirs in the Evinos River basin combined with the operation of the Mornos reservoir. (3) Study for improving of the hydrometeorological measuring system at Mornos and Evinos watersheds. (4) Evaluation of the exploitable water potential of the Yliki Lake and the alternative rational ways of its management, both under the current conditions and future conditions, without or with the Evinos reservoir. (5) Development of methodologies and computer programs for the support of the rational scheduling of the water release from Yliki.

  1. Appraisal of existing potential for improving the water supply of greater Athens - Phase 1

    Duration: November 1987–February 1989

    Commissioned by: Directorate of Water Supply and Sewage

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    This project aims at organising the hydrological information in the Mornos and Evinos watersheds, and more specifically, the collection, the evaluation, the archiving and the processing of hydrometeorological data of these basins. The project also deals with the estimation of the actual release capacity of the Mornos reservoir and the appraisal of the alternatives for improving it by diverting water from the Evinos River.

  1. Hydrological investigation of the Thessalia water basin

    Duration: July 1986–October 1988

    Commissioned by: Division of Acheloos Diversion Works

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigator: D. Koutsoyiannis

    The project aims at organising the hydrological information in the Thessalia water district, and more specifically, the collection, the evaluation, the archiving and the processing of hydrometeorological data of the district. The project also deals with the development of an appropriate hydrological infrastructure (criteria and hydrologic design parameters) to support the studies of the works for the development of the Thessalia Plain (irrigation projects, flood protection works and dams) also considering the planned diversion of the Acheloos River.

Participation as Researcher

  1. Development of Database and software applications in a web platform for the "National Databank for Hydrological and Meteorological Information"

    Duration: December 2009–May 2011

    Budget: €140 000

    Commissioned by: Hydroscope Systems Consortium

    Contractor: Department of Water Resources and Environmental Engineering

    Project director: N. Mamassis

    Principal investigator: N. Mamassis

    The Ministry of Environment, Physical Planning & Public Works assigned to a consortium of consultancy companies the Project "Development of a new software platform for the management and operation of the National Databank for Hydrologic and Meteorological Information - 3rd Phase within a GIS environment and relevant dissemination actions". In the framework of the specific project a research team of NTUA undertakes a part as subcontractor. NTUA delivers methodologies for further development of the databases and applications of the Databank and their migration into a web platform (including the experimental node openmeteo.org for free data storage for the public). Specifically, using the knowhow that has been developed in the past by Research Teams from the Department of Water Resources of the School of Civil Engineering a database system and software applications (included hydrological models) are created fully adapted for operation over the Internet. NTUA's contribution is primarily on the design of the new system and the hydrological and geographical database the development of distibuted hydological models, the adaptation of the system to the WFD 2000/60/EC and on supporting dissemination activities. Finally NTUA will participate in the technical support and pilot operation of the project after its delivery from the consortium to the Ministry.

    More information is available at http://www.hydroscope.gr/.

  1. Observations, Analysis and Modeling of Lightning Activity in Thunderstorms, for Use in Short Term Forecasting of Flash Floods

    Duration: October 2006–September 2009

    Commissioned by: DGXII / FP6-SUSTDEV-2005-3.II.1.2

    Contractor: National Observatory of Athens

    Project director: K. Lagouvardos

  1. Development of a Geographical Information System and an Internet application for the supervision of Kephisos protected areas

    Duration: April 2008–March 2009

    Budget: €30 000

    Contractor: Department of Water Resources and Environmental Engineering

    Project director: N. Mamassis

    Principal investigator: N. Mamassis

    The main purpose of the system is the supervision of the protected areas in Kephisos river basin. Using the applications that will be developed, the staff of Kephisos Institution will achieve the real time recording of various activities that are built up inside the limits of protection belts. Specifically, three main applications will be developed: (a) A Geographical Information System (GIS) (b) An General Positioning System Application (GPS) (c) An Internet application

  1. EU COST Action C22: Urban Flood Management

    Duration: June 2005–December 2007

    Project director: C. Zevenbergen

    The primary objective is to increase knowledge required for prevention and mitigation of potential flood impacts to urban areas by exchanging experiences, developing integrated approaches, and by promoting the diffusion of best practices in Urban Flood Management. Secondary objectives are to develop holistic approaches in Urban Flood Management, to initiate R&D projects for the EU 7th Framework programme, to stimulate national R&D activities and to increase awareness of the importance of flood management. The action includes three phases: (1) inventory (state-of-the-art relevant aspects of UFM), (2) analysis and integration (best practices and knowledge gaps), and (3) dissimination and consolidation. The action involves four working groups: (1) models and tools to assess flood probability and measures to reduce probability, (2) models and tools to assess impact of flooding to decrease vulnerability, (3) flood recovery methods and methods of damage compensation, and (4) non-technical measures and techniques to decrease vulnerability.

  1. Investigation and remedy of the stability problems of the banks and bed of the Philothei Creek using mathematical models and modern environmental methods

    Duration: March 2004–September 2004

    Budget: €74 500

    Commissioned by: Municipality of Philothei

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: A. Stamou

    The effect of a series of alternative environmental-friendly works in the Philothei Creek, aiming at the ensuring of bed and banks stability, is investigated. The project includes (1) identification of the geometrical characteristics of the creek, (2) assessment of a series of alternative environmental-friendly works at specific sites, (3) examination of these works from the hydraulic point of view (hydrological and hydraulic modelling) and (4) formulation of final scheme of works and estimation of their cost.

  1. Study and research network with applications in Greece and Cyprus

    Duration: November 2000–November 2002

    Commissioned by: General Secretariat of Research and Technology

    Contractor: Aristotle University of Thessaloniki

    Collaborators:

    1. Depatment of Water Development of Cyprus
    2. Demokritos University of Thrace
    3. University of Thessaly
    4. University of Athens
    5. National Technical University of Athens

    Project director: E. Sidiropoulos

    Programme: ΕΠΑΝ

    A Network for the Research of the Water Resources of Greece and Cyprus is created, whose objective is the theoretical and practical study of water resource problems that are met mostly in Cyprus, but also are relevant with Greek areas with similar hydroclimatic conditions.

  1. Generation of spatially consistent rainfall data - Refinement and testing of simplified models

    Duration: January 2001–December 2001

    Commissioned by: UK Ministry of Agriculture, Fisheries and Food

    Contractor: Imperial College, London

    Collaborators: University College London

    Project directors: V. S. Isham, H. S. Wheater

  1. Assessment of sediment generation in Thriasio

    Duration: January 2001–December 2001

    Contractor: School of Civil Engineering

    Project director: P. Marinos

  1. Development of legislation framework for the drinking water of Athens

    Duration: June 1999–May 2000

    Commissioned by: Water Supply and Sewerage Company of Athens

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: M. Bonazountas

  1. Generation of spatially consistent rainfall data

    Duration: January 1999–January 2000

    Commissioned by: UK Ministry of Agriculture, Fisheries and Food

    Contractor: Imperial College, London

    Collaborators: University College London

    Project directors: V. S. Isham, H. S. Wheater

  1. Integrated management of the riparian ecosystem of the Sperhios river

    Duration: January 1995–May 1995

    Commissioned by: European Union

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: M. Bonazountas

    Programme: LIFE

  1. A pilot study for the water resources management of the Epirus water district

    Duration: September 1991–September 1993

    Commissioned by: Directorate of Water and Natural Resources

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators:

    1. Directorate of Water and Natural Resources
    2. Delft Hydraulics
    3. Ecosystems Analysis

    Project director: Th. Xanthopoulos

    Principal investigator: I. Nalbantis

    The main objective is to obtain an insight of the interrelation of the water balance components of the Epirus water district. The methodology is based on an earlier project regarding the water resources of the Louros and Arachthos watersheds. The role of the research team of the National Technical University of Athens is to supervise the project and evaluate its results at each stage of the project.

  1. Study of the measuring system of the aqueduct network of Athens - Phase 1

    Duration: June 1990–December 1990

    Commissioned by: Water Supply and Sewerage Company of Athens

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: Th. Xanthopoulos

    Principal investigator: J. Gavriilidis

    The objective of Phase 1 of the project is the testing of the reliability of the existing measuring system of the aqueduct network of Athens and the initial approximate estimation of the discharge capacities of the aqueducts.

  1. Investigation of use of stormwater for irrigation - Application to the area of Archanes municipality

    Duration: January 1988–December 1988

    Commissioned by: Municipality of Archanes

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: G. Tsakiris

  1. Environmental impacts of the irrigation project in the lake Mikri Prespa, Florina, Phase A

    Duration: January 1987–December 1987

    Commissioned by: Ministry of the National Economy

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Project director: M. Bonazountas

  1. Estimation and integrated management of the water resources and environment of the Aliakmon watershed

    Duration: January 1982–January 1986

    Commissioned by: General Secretariat of Research and Technology

    Project director: Th. Xanthopoulos

  1. Water quality and assimilative capacity investigations of Kalamas river and lake Pamvotis (Ioannina)

    Duration: February 1984–December 1984

    Commissioned by: Ministry of Planning, Housing and Environment

    Contractor: Department of Water Resources, Hydraulic and Maritime Engineering

    Collaborators: Laboratory of Analytical Chemistry

    Project director: Th. Xanthopoulos

    The project components are the following: (1) Hydrological and hydraulic characteristics of the Kalamas River and the Lapsista ditch. (2) Water budget of the Pambotis Lake. (3) Sampling and water quality analyses. (4) Inventory of pollution sources. (5) Assessment of the potential of the development of the Ioannina area. (6) Inventory of water uses. (7) Formulation of pollution scenarios. (8) Fitting of a mathematical model for the pollution of the Kalamas River. (9) Conclusions regarding the water uses and the acceptable pollution loads.

Details on engineering studies

  1. Investigation of the hydrographic network development in Mavro Vouno, Grammatiko, Attica, Greece

    Duration: May 2012–June 2012

    Budget: €15 000

    Commissioned by: Perifereiako Tameio Anaptyxis Attikis

    Contractors:

    1. A. Stamou
    2. D. Koutsoyiannis
    3. N. Mamassis

  1. Study of the management of Kephisos

    Duration: June 2009–April 2010

    Commissioned by: General Secretariat of Public Works

    Contractors:

    1. Exarhou Nikolopoulos Bensasson
    2. Denco
    3. G. Karavokiris
    4. et al.

  1. Delineation of the Arachthos River bed in the town of Arta

    Duration: January 2009–February 2010

    Commissioned by: Municipality of Arta

    Contractors:

    1. ADK - Aronis Drettas Karlaftis Consulting Engineers
    2. YDROTEK
    3. V. Mouzos

  1. Specific Technical Study for the Ecological Flow from the Dam of Stratos

    Duration: January 2009–June 2009

    Commissioned by: Public Power Corporation

    Contractor: ECOS Consultants S.A.

  1. Development of tools for the water resource management of the hydrological district of Aegean islands

    Duration: January 2003–December 2008

    Commissioned by: Ministry of Development

    Contractors:

    1. TEM
    2. LDK
    3. Ydroexigiantiki
    4. TERRAMENTOR

  1. Water resource management of the Integrated Tourist Development Area in Messenia

    Duration: January 2003–December 2005

    Commissioned by: TEMES - Tourist Enterprises of Messinia

    Contractor: D. Argyropoulos

  1. Technical consulting for the floods of Lower Acheloos and Edesseos

    Duration: September 2004–June 2005

    Budget: €21 000

    Commissioned by: Public Power Corporation

    Contractors:

    1. D. Koutsoyiannis
    2. N. Mamassis

  1. Expertise for the quality control of engineering studies for the project "Water supply of Patra from Peiros and Parapeiros rivers"

    Duration: October 2004–December 2004

    Budget: €13 800

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractors:

    1. A. Andreadakis
    2. D. Koutsoyiannis
    3. M. Aftias

  1. Characterization of the size of Zaravina lake in Delvinaki area of the prefecture of Ioannina

    Duration: September 2003–December 2004

    Commissioned by: P. Mentzos

    Contractor: D. Koutsoyiannis

  1. Diversion of the Soulou Stream for the Development of Lignite Exploitations of the Public Power Corporation in the Mine of Southern Field of Region Kozani-Ptolemais

    Duration: September 2004–October 2004

    Budget: €3 000

    Commissioned by: Public Power Corporation

    Contractors:

    1. D. Koutsoyiannis
    2. N. Mamassis

  1. Analysis of the effects of the water transfer through the tunnel Fatnicko Polje - Bileca reservoir on the hydrologic regime of Bregava River in Bosnia and Herzegovina

    Duration: April 2004–June 2004

    Commissioned by: Energy Financing Team, Switzerland

    Contractors:

    1. CUW-UK
    2. ICCI Limited

  1. Study of sewerage and wastewater treatment of the Municipality of Ellomeno in Leukas

    Duration: January 2004–February 2004

  1. Hydraulic study for drainage of the Kanavari-Dombrena-Prodromos road

    Duration: January 2004–January 2004

    Commissioned by: Prefectural Government of Boeotia

    Contractor: D. Argyropoulos

  1. Hydrological and hydraulic study for the flood protection of the new railway in the region of Sperhios river

    Duration: October 2002–January 2003

    Budget: €90 000

    Commissioned by: ERGA OSE

    Contractor: D. Soteropoulos

    Collaborators: D. Koutsoyiannis

  1. Study of the enhancement of water flow in Lethaeos and Ayiaminiotis rivers

    Duration: May 2002–December 2002

    Commissioned by: Municipality of Trikala

    Contractor: I. Tzeranis

  1. Engineering consultant for the project "Water supply of Heracleio and Agios Nicolaos from the Aposelemis dam"

    Duration: October 2000–December 2002

    Budget: €1 782 000

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractor: Aposelemis Joint Venture

  1. Flood Protection Works of Diakoniaris Stream, Preliminary Study

    Duration: June 2002–July 2002

    Budget: €5 000

    Commissioned by: Directorate of Water Supply and Sewage

    Contractors:

    1. Ydroexigiantiki
    2. Grafeio Mahera
    3. Ydroereyna

    Collaborators:

    1. P. Marinos
    2. M. Kavvadas
    3. D. Koutsoyiannis

  1. Study of the Segment Antirrio-Kefalovriso of the Western Road Axis

    Duration: January 2001–December 2001

    Commissioned by: General Secretariat of Public Works

    Contractors:

    1. NAMA
    2. Kastor

  1. Preliminary Water Supply Study of the Thermoelectric Livadia Power Plant

    Duration: January 2001–December 2001

    Contractor: Ypologistiki Michaniki

  1. Consultative service for the spring "Kephalovriso" in Kaloskope

    Duration: May 2000–December 2001

    Commissioned by: Association of Kaloskopi Parnassidas

  1. Engineering study for the licence of positioning of the Valorema Small Hydroelectric Project

    Duration: September 2001–September 2001

    Commissioned by: YDROSAR

    Contractor: D. Argyropoulos

  1. Study of the Potamos River, Corfu

    Duration: January 2001–June 2001

    Commissioned by: Anaptyxiaki Demou Kerkyreon

    Contractor: M. Papakosta

  1. Complementary study of environmental impacts from the diversion of Acheloos to Thessaly

    Duration: December 2000–February 2001

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractor: Ydroexigiantiki

    Collaborators: D. Koutsoyiannis

  1. Management study of the river Boeoticos Kephisos and the lakes Hylike and Paralimne

    Duration: January 1998–December 2000

    Commissioned by: Division of Land Reclamation Works

    Contractor: ETME- Antoniou Peppas and Co.

  1. Compilation of specifications and requirements for the elaboration of environmental impact studies for various works

    Duration: November 1999–December 1999

    Contractor: ECOS Meletitiki

  1. Estimation of losses from DXX canal in the irrigation network of Lower Acheloos

    Duration: January 1999–December 1999

    Commissioned by: Division of Land Reclamation Works

    Contractor: NAMA

  1. Concerted actions for the sector of environment in Santorine and Therasia islands

    Duration: November 1998–December 1998

    Commissioned by: Cohesion Fund EU

    Contractors:

    1. NAMA
    2. SPEED
    3. VLAR

  1. Engineering report of the Korinthos sewer system, Study of the Xerias creek, Introductory part

    Duration: January 1998–December 1998

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractor: Ydroexigiantiki

  1. Study of the water supply of the wider Rhodes from Gadouras dam: Aqueduct and water treatment plant

    Duration: January 1998–December 1998

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractors:

    1. Grafeio Mahera
    2. G. Kafetzopoulos - D. Benakis - I. Printatko
    3. Ydroexigiantiki
    4. P. Kerhoulas

  1. Engineering study of the hydraulic project of old and new river bed of Peneios in Larisa

    Duration: January 1997–December 1997

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractors:

    1. Th. Gofas and Partners
    2. Petra Synergatiki
    3. D. Koutsoudakis
    4. Helliniki Meletitiki
    5. G. Kafetzopoulos - D. Benakis - I. Printatko

  1. Water resources management of the Evinos river basin and hydrogeological study of the Evinos karstic system

    Duration: January 1996–December 1996

    Commissioned by: Directorate of Water Supply and Sewage

    Contractors:

    1. P. Panagopoulos
    2. General Studies
    3. Istria
    4. Ecosystems Analysis

  1. General outline of the Acheloos River diversion project

    Duration: January 1996–December 1996

    Contractor: Directorate for Acheloos Diversion Works

    Collaborators:

    1. G. Kalaouzis
    2. ELECTROWATT
    3. P. Marinos
    4. D. Koutsoyiannis

  1. Assessment of the influence of forest fire of 1995 in the increase of sediment yield of the Megalo Rema in Raphena

    Duration: June 1996–November 1996

    Commissioned by: Prefectural Government of Eastern Attica

  1. Integrated study of the environmental impacts from Acheloos diversion

    Duration: September 1995–December 1995

    Contractor: Directorate for Acheloos Diversion Works

    Collaborators: Ydroexigiantiki

  1. Study of environmental impacts from the small hydroelectric work in Metsovitikos river

    Duration: January 1995–December 1995

    Contractor: Epsilon

  1. Arachthos River, Aghios Nicolaos hydroelectric project, Engineering Report

    Duration: November 1983–August 1994

    Commissioned by: Public Power Corporation

    Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG)

  1. Engineering study for improving the water supply of Athens with the construction of a dam at the Evinos River

    Duration: January 1991–December 1991

    Commissioned by: Directorate of Water Supply and Sewage

    Contractors:

    1. OTME
    2. Ydroilektriki
    3. YDROTEK
    4. D. Constantinidis
    5. G. Karavokiris
    6. Th. Gofas and Partners

  1. Master plan of the land reclamation works of the Arta plain

    Duration: January 1990–December 1990

    Commissioned by: Ministry of Agriculture

    Contractors:

    1. Ydrodomiki
    2. D. Constantinidis
    3. Ydroexigiantiki
    4. Abramopoulos

  1. Engineering study of the regulation of the Kallithea Stream in Mytilene

    Duration: January 1988–December 1988

    Commissioned by: Ministry of National Education

    Contractor: TENET

  1. Study of the Faneromeni dam in Mesara, Crete - Engineering report

    Duration: January 1988–December 1988

    Commissioned by: Ministry of Agriculture

    Contractors:

    1. D. Constantinidis
    2. Grafeio Doxiadi

  1. Study of the Plakiotissa dam in Mesara, Crete - Engineering report

    Duration: January 1986–December 1986

    Commissioned by: Ministry of Agriculture

    Contractors:

    1. D. Constantinidis
    2. Grafeio Doxiadi

  1. Study of the wastewater treatment plant of Aghios Nicolaos, Crete

    Duration: January 1984–December 1986

    Commissioned by: Ministry of Environment, Planning and Public Works

    Contractor: Joint Venture Akvantan-Tapeions-Talios

  1. Engineering study of the flood protection works in the Boeoticos Kephisos river basin

    Duration: January 1985–December 1985

    Commissioned by: Ministry of Public Works

    Contractor: D. Constantinidis

  1. Engineering study of the flood protection and drainage works and the dam in the Artzan-Amatovo region

    Duration: January 1982–December 1985

    Commissioned by: Ministry of Public Works

    Contractors:

    1. OTME
    2. D. Constantinidis
    3. METER

  1. Arachthos River, Steno - Kalaritikos hydroelectric project, Engineering Report

    Duration: January 1984–August 1984

    Commissioned by: Public Power Corporation

    Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG)

  1. Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Engineering report

    Duration: January 1982–June 1984

    Commissioned by: Prefectural Fund of Peiraias

    Contractor: E. Vassilopoulos

  1. Preliminary study of the water supply of Karystos and Kallianos municipalities from the Demosari springs

    Duration: October 1982–May 1984

    Commissioned by: Prefectural Fund of Euboea

    Contractor: E. Vassilopoulos

  1. Master plan of Dereio dam

    Duration: January 1983–December 1983

    Commissioned by: Ministry of Public Works

    Contractors:

    1. Grafeio Doxiadi
    2. D. Constantinidis

  1. Preliminary study of the reconstruction of the state-run saltern of Mesi, Komotene

    Duration: January 1983–December 1983

    Commissioned by: Ministry of the Industry

    Contractors:

    1. METER
    2. E. Vassilopoulos
    3. C. Fourniotis-Pavlatos

  1. Engineering study of sewer system and the wastewater treatment plant of Farsala

    Duration: January 1983–December 1983

    Commissioned by: Ministry of Public Works

    Contractor: METER

  1. Arachthos River, Middle Course hydroelectric projects, Master Plan

    Duration: January 1983–October 1983

    Commissioned by: Public Power Corporation

    Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG)

  1. Study for the restoration, fixing, protection and prominence of the archaeological monument of Knossos

    Duration: January 1983–January 1983

    Commissioned by: Ministry of Culture and Sciences

    Contractor: I. Skandalis

    Collaborators:

    1. P. Melissaris
    2. D. Koutsoyiannis

  1. Study of the sewer system of Neapolis, Lasithi, Engineering report

    Duration: April 1982–January 1983

    Commissioned by: Prefectural Fund of Lasithi

    Contractor: G. Koukourakis and Colleagues

  1. Alternative studies for the irrigation of the Lasithi plateau

    Duration: January 1982–December 1982

    Commissioned by: Prefectural Fund of Lasithi

    Contractors:

    1. METER
    2. Exarxou and Nikolopoulos
    3. Kalatzopoulos

  1. Master plan of the foul sewer system of Kanallaki, Preveza

    Duration: June 1982–December 1982

    Commissioned by: Prefectural Fund of Preveza

    Contractor: E. Vassilopoulos

  1. Preliminary study of the sewer system of Kanallaki, Preveza

    Duration: April 1981–June 1982

    Commissioned by: Prefectural Fund of Preveza

    Contractor: E. Vassilopoulos

  1. Arachthos River, Middle Course hydroelectric projects, Alternative studies

    Duration: October 1981–March 1982

    Commissioned by: Public Power Corporation

    Contractor: Arachthos Swiss-Anglo-German Consulting Group (ASAG)

  1. Study of the sewer system of Aghia Marina in Mesagros municipality, Aegina, Preliminary study

    Duration: September 1981–December 1981

    Commissioned by: Prefectural Fund of Peiraias

    Contractor: E. Vassilopoulos

  1. Study of the sewer system of Neapolis, Lasithi, Master plan

    Duration: August 1980–July 1981

    Commissioned by: Prefectural Fund of Lasithi

    Contractor: G. Koukourakis and Colleagues

  1. Study of the sewer system of Neapolis, Lasithi, Alternative studies

    Duration: January 1980–April 1980

    Commissioned by: Prefectural Fund of Lasithi

    Contractor: G. Koukourakis and Colleagues

  1. Engineering study of restoration of the water supply of Karpenesi

    Duration: January 1979–December 1979

    Commissioned by: Prefectural Fund of Evritania

    Contractor: A. Psilopoulos

  1. Engineering study of the sewer system of the Karpenesi municipality

    Duration: January 1979–December 1979

    Commissioned by: Prefectural Fund of Evritania

    Contractor: A. Psilopoulos

  1. Engineering study of the sewer system of the Karpenesi municipality

    Duration: January 1978–December 1978

    Commissioned by: Prefectural Fund of Eleia

    Contractor: A. Psilopoulos

Published work in detail

Publications in scientific journals

  1. F. Lombardo, E. Volpi, D. Koutsoyiannis, and F. Serinaldi , A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall, Water Resources Research, doi:10.1002/2017WR020529, 2017.

    Generating fine-scale time series of intermittent rainfall that are fully consistent with any give coarse-scale totals is a key and open issue in many hydrological problems. We propose a stationary disaggregation method that simulates rainfall time series with given dependence structure, wet/dry probability, and marginal distribution at a target finer (lower-level) time scale, preserving full consistency with variables at a parent coarser (higher-level) time scale. We account for the intermittent character of rainfall at fine time scales by merging a discrete stochastic representation of intermittency and a continuous one of rainfall depths. This approach yields a unique and parsimonious mathematical framework providing general analytical formulations of mean, variance, and autocorrelation function (ACF) for a mixed-type stochastic process in terms of mean, variance, and ACFs of both continuous and discrete components, respectively. To achieve the full consistency between variables at finer and coarser time scales in terms of marginal distribution and coarse-scale totals, the generated lower-level series are adjusted according to a procedure that does not affect the stochastic structure implied by the original model. To assess model performance, we study rainfall process as intermittent with both independent and dependent occurrences, where dependence is quantified by the probability that two consecutive time intervals are dry. In either case, we provide analytical formulations of main statistics of our mixed-type disaggregation model and show their clear accordance with Monte Carlo simulations. An application to rainfall time series from real world is shown as a proof of concept.

    Additional material:

  1. A. Tegos, H. Tyralis, D. Koutsoyiannis, and K. H. Hamed, An R function for the estimation of trend signifcance under the scaling hypothesis- application in PET parametric annual time series, Open Water Journal, 4 (1), 66–71, 6, 2017.

    We present an R function for testing the significant trend of time series. Te function calculates trend significance using a modified Mann-Kendall test, which takes into account the well-known physical behavior of the Hurst-Kolmogorov dynamics. Te function is tested at 10 stations in Greece, with approximately 50 years of PET data with the use of a recent parametric approach. A significant downward trend was detected at two stations. Te R software is now suitable for extensive use in several fields of the scientific community, allowing a physical consistent of a trend analysis.

    Full text: http://www.itia.ntua.gr/en/getfile/1703/1/documents/2017OW_An_R_FunctionForTrendSignificance.pdf (326 KB)

    Additional material:

    See also: http://scholarsarchive.byu.edu/openwater/vol4/iss1/6/

  1. H. Tyralis, A. Tegos, A. Delichatsiou, N. Mamassis, and D. Koutsoyiannis, A perpetually interrupted interbasin water transfer as a modern Greek drama: Assessing the Acheloos to Pinios interbasin water transfer in the context of integrated water resources management, Open Water Journal, 4 (1), 113–128, 12, 2017.

    Interbasin water transfer is a primary instrument of water resources management directly related with the integrated development of the economy, society and environment. Here we assess the project of the interbasin water transfer from the river Acheloos to the river Pinios basin which has intrigued the Greek society, the politicians and scientists for decades. Te set of criteria we apply originate from a previous study reviewing four interbasin water transfers and assessing whether an interbasin water transfer is compatible with the concept of integrated water resources management. In this respect, we assess which of the principles of the integrated water resources management the Acheloos to Pinios interbasin water transfer project does or does not satisfy. While the project meets the criteria of real surplus and deficit, of sustainability and of sound science, i.e., the criteria mostly related to the engineering part, it fails to meet the criteria of good governance and balancing of existing rights with needs, i.e., the criteria associated with social aspects of the project. Te non-fulfillment of the latter criteria is the consequence of chronic diseases of the Greek society, which become obvious in the case study

    Full text: http://www.itia.ntua.gr/en/getfile/1702/1/documents/2017OW_AcheloosToPiniosInterbasinWaterTransfer.pdf (2744 KB)

    See also: http://scholarsarchive.byu.edu/openwater/vol4/iss1/11/

  1. Y. Markonis, S. C. Batelis, Y. Dimakos, E. C. Moschou, and D. Koutsoyiannis, Temporal and spatial variability of rainfall over Greece, Theoretical and Applied Climatology, doi:10.1007/s00704-016-1878-7, 2016.

    Recent studies have showed that there is a significant decrease in rainfall over Greece during the last half of the pervious century, following an overall decrease of the precipitation at the eastern Mediterranean. However, during the last decade an increase in rainfall was observed in most regions of the country, contrary to the general circulation climate models forecasts. An updated high-resolution dataset of monthly sums and annual daily maxima records derived from 136 stations during the period 1940 – 2012 allowed us to present some new evidence for the observed change and its statistical significance. The statistical framework used to determine the significance of the slopes in annual rain was not limited to the time independency assumption (Mann-Kendall test), but we also investigated the effect of short- and long-term persistence through Monte Carlo simulation. Our findings show that (a) change occurs in different scales; most regions show a decline since 1950, an increase since 1980 and remain stable during the last 15 years, (b) the significance of the observed decline is highly dependent to the statistical assumptions used; there are indications that the Mann-Kendall test may be the least suitable method and (c) change in time is strongly linked with the change in space; for scales below 40 years relatively close regions may develop even opposite trends, while in larger scales change is more uniform.

    Additional material:

    See also: http://dx.doi.org/10.1007/s00704-016-1878-7

  1. P. Kossieris, C. Makropoulos, C. Onof, and D. Koutsoyiannis, A rainfall disaggregation scheme for sub-hourly time scales: Coupling a Bartlett-Lewis based model with adjusting procedures, Journal of Hydrology, doi:10.1016/j.jhydrol.2016.07.015, 2016.

    Many hydrological applications, such as flood studies, require the use of long rainfall data at fine time scales varying from daily down to 1 minute time step. However, in the real world there is limited availability of data at sub-hourly scales. To cope with this issue, stochastic disaggregation techniques are typically employed to produce possible, statistically consistent, rainfall events that aggregate up to the field data collected at coarser scales. A methodology for the stochastic disaggregation of rainfall at fine time scales was recently introduced, combining the Bartlett-Lewis process to generate rainfall events along with adjusting procedures to modify the lower-level variables (i.e., hourly) so as to be consistent with the higher-level one (i.e., daily). In the present paper, we extend the aforementioned scheme, initially designed and tested for the disaggregation of daily rainfall into hourly depths, for any sub-hourly time scale. In addition, we take advantage of the recent developments in Poisson-cluster processes incorporating in the methodology a Bartlett-Lewis model variant that introduces dependence between cell intensity and duration in order to capture the variability of rainfall at sub-hourly time scales. The disaggregation scheme is implemented in an R package, named HyetosMinute, to support disaggregation from daily down to 1-minute time scale. The applicability of the methodology was assessed on a 5-minute rainfall records collected in Bochum, Germany, comparing the performance of the above mentioned model variant against the original Bartlett-Lewis process (non-random with 5 parameters). The analysis shows that the disaggregation process reproduces adequately the most important statistical characteristics of rainfall at wide range of time scales, while the introduction of the model with dependent intensity-duration results in a better performance in terms of skewness, rainfall extremes and dry proportions.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.jhydrol.2016.07.015

    Other works that reference this work (this list might be obsolete):

    1. Shrestha, A., M. S. Babel, S. Weesakul, and Z. Vojinovic, Developing intensity–duration–frequency (IDF) curves under climate change uncertainty: The case of Bangkok, Thailand, Water, 9(2), 145, doi:10.3390/w9020145, 2017.

  1. Y. Markonis, A. N. Angelakis, J. Christy, and D. Koutsoyiannis, Climatic variability and the evolution of water technologies in Crete, Hellas, Water History, 8 (2), 137–157, doi:10.1007/s12685-016-0159-9, 2016.

    The Greek island of Crete is one of the southernmost regions of Europe with a long and rich history, which begins as early as ca. 3200 BC with the onset of the Minoan civilization. The archeological findings of well-designed water supply and sewerage systems in the Minoan Palaces and other settlements, with impressive architecture and high-level functionality, suggest a good degree of understanding of the basic water management techniques well before the scientific achievements of our times. Here we document characteristic examples of the ancient hydraulic works and the related hydro-technologies throughout the history of Crete. We summarize the pressures on the water resources in Crete in connection with climatic variability and investigate how and what could be learned from the past using recent findings and paleoclimatology. The reconstructions of the Eastern Mediterranean and more specifically of the Cretan climate using different proxy data (e.g. sediment, pollen, and historical archives) demonstrate a series of alternating periods with varying climatic characteristics with fluctuation lengths spanning from a few decades to many centuries. The synthesis of the on-going research on past climate offers the opportunity to create a picture of the Cretan climatic regime for the last 10,000 years, which could be useful to both hydrologists and archeologists. As the past is the key to the future, the information provided could help in developing modern integrated and sustainable water management plans.

    Additional material:

    See also: http://dx.doi.org/10.1007/s12685-016-0159-9

  1. S.M. Papalexiou, and D. Koutsoyiannis, A global survey on the seasonal variation of the marginal distribution of daily precipitation, Advances in Water Resources, 94, 131–145, doi:10.1016/j.advwatres.2016.05.005, 2016.

    To characterize the seasonal variation of the marginal distribution of daily precipitation, it is important to find which statistical characteristics of daily precipitation actually vary the most from month-to-month and which could be regarded to be invariant. Relevant to the latter issue is the question whether there is a single model capable to describe effectively the nonzero daily precipitation for every month worldwide. To study these questions we introduce and apply a novel test for seasonal variation (SV-Test) and explore the performance of two flexible distributions in a massive analysis of approximately 170,000 monthly daily precipitation records at more than 14,000 stations from all over the globe. The analysis indicates that: (a) the shape characteristics of the marginal distribution of daily precipitation, generally, vary over the months, (b) commonly used distributions such as the Exponential, Gamma, Weibull, Lognormal, and the Pareto, are incapable to describe “universally” the daily precipitation, (c) exponential-tail distributions like the Exponential, mixed Exponentials or the Gamma can severely underestimate the magnitude of extreme events and thus may be a wrong choice, and (d) the Burr type XII and the Generalized Gamma distributions are two good models, with the latter performing exceptionally well.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.advwatres.2016.05.005

  1. T. Iliopoulou, S.M. Papalexiou, Y. Markonis, and D. Koutsoyiannis, Revisiting long-range dependence in annual precipitation, Journal of Hydrology, doi:10.1016/j.jhydrol.2016.04.015, 2016.

    Long-range dependence (LRD), the so-called Hurst-Kolmogorov behaviour, is considered to be an intrinsic characteristic of most natural processes. This behaviour manifests itself by the prevalence of slowly decaying autocorrelation function and questions the Markov assumption, often habitually employed in time series analysis. Herein, we investigate the dependence structure of annual rainfall using a large set, comprising more than a thousand stations worldwide of length 100 years or more, as well as a smaller number of paleoclimatic reconstructions covering the last 12,000 years. Our findings suggest weak long-term persistence for instrumental data (average H = 0.59), which becomes stronger with scale, i.e. in the paleoclimatic reconstructions (average H = 0.75).

    Additional material:

    See also: http://dx.doi.org/10.1016/j.jhydrol.2016.04.015

  1. D. Koutsoyiannis, G. Blöschl, A. Bardossy, C. Cudennec, D. Hughes, A. Montanari, I. Neuweiler, and H. H. G. Savenije, Joint Editorial: Fostering innovation and improving impact assessment for journal publications in hydrology, Hydrological Sciences Journal, 61 (7), 1170–1173, doi:10.1080/02626667.2016.1162953, 2016.

    The Joint Editorial was published in:

    Full text: http://www.itia.ntua.gr/en/getfile/1603/1/documents/2016Joint_editorial_Fostering_innovation.pdf.pdf (235 KB)

    See also: http://dx.doi.org/10.1080/02626667.2016.1162953

  1. D. Koutsoyiannis, M. Acreman, A. Castellarin, H. H. G. Savenije, C. Cudennec, G. Blöschl, G. Young, A. Montanari, and F. Watkins, Should auld acquaintance be forgot? Comment on “Farewell, HSJ!—address from the retiring editor” by Z.W. Kundzewicz, Hydrological Sciences Journal, doi:10.1080/02626667.2016.1150032, 2016.

    Full text: http://www.itia.ntua.gr/en/getfile/1602/1/documents/2016HSJ_ShouldAuldAcquaintanceBeForgot.pdf (72 KB)

    See also: http://dx.doi.org/10.1080/02626667.2016.1150032

  1. P. Dimitriadis, A. Tegos, A. Oikonomou, V. Pagana, A. Koukouvinos, N. Mamassis, D. Koutsoyiannis, and A. Efstratiadis, Comparative evaluation of 1D and quasi-2D hydraulic models based on benchmark and real-world applications for uncertainty assessment in flood mapping, Journal of Hydrology, 534, 478–492, doi:10.1016/j.jhydrol.2016.01.020, 2016.

    One-dimensional and quasi-two-dimensional hydraulic freeware models (HEC-RAS, LISFLOOD-FP and FLO-2d) are widely used for flood inundation mapping. These models are tested on a benchmark test with a mixed rectangular-triangular channel cross section. Using a Monte-Carlo approach, we employ extended sensitivity analysis by simultaneously varying the input discharge, longitudinal and lateral gradients and roughness coefficients, as well as the grid cell size. Based on statistical analysis of three output variables of interest, i.e. water depths at the inflow and outflow locations and total flood volume, we investigate the uncertainty enclosed in different model configurations and flow conditions, without the influence of errors and other assumptions on topography, channel geometry and boundary conditions. Moreover, we estimate the uncertainty associated to each input variable and we compare it to the overall one. The outcomes of the benchmark analysis are further highlighted by applying the three models to real-world flood propagation problems, in the context of two challenging case studies in Greece.

    Other works that reference this work (this list might be obsolete):

    1. Apel, H., O. Martínez Trepat, N. N. Hung, D. T. Chinh, B. Merz, and N. V. Dung, Combined fluvial and pluvial urban flood hazard analysis: concept development and application to Can Tho city, Mekong Delta, Vietnam, Natural Hazards and Earth System Sciences, 16, 941-961, doi:10.5194/nhess-16-941-2016, 2016.
    2. Papaioannou , G., A. Loukas, L. Vasiliades, and G. T. Aronica, Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach, Natural Hazards, 83, 117-132, doi:10.1007/s11069-016-2382-1, 2016.
    3. #Santillan, J. R., A. M. Amora, M. Makinano-Santillan, J. T. Marqueso, L. C. Cutamora, J. L. Serviano, and R. M. Makinano, Assessing the impacts of flooding caused by extreme rainfall events through a combined geospatial and numerical modeling approach, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B8, 2016, XXIII ISPRS Congress, Prague, doi:10.5194/isprs-archives-XLI-B8-1271-2016, 2016.
    4. Cheviron, B. and R. Moussa, Determinants of modelling choices for 1-D free-surface flow and morphodynamics in hydrology and hydraulics: a review, Hydrology and Earth System Sciences, 20, 3799-3830, doi:10.5194/hess-20-3799-2016, 2016.
    5. Mohd Talha Anees, K. Abdullah, M.N.M. Nawawi, Nik Norulaini Nik Ab Rahman, Abd. Rahni Mt. Piah, Nor Azazi Zakaria, M.I. Syakir, and A.K. Mohd. Omar, Numerical modeling techniques for flood analysis, Journal of African Earth Sciences, 124, 478–486, doi:10.1016/j.jafrearsci.2016.10.001, 2016.
    6. Skublics, D., G. Blöschl, and P. Rutschmann, Effect of river training on flood retention of the Bavarian Danube, Journal of Hydrology and Hydromechanics, 64(4), 349-356, doi:10.1515/johh-2016-0035, 2016.
    7. Doong, D.-J., W. Lo, Z. Vojinovic, W.-L. Lee, and S.-P. Lee, Development of a new generation of flood inundation maps—A case study of the coastal City of Tainan, Taiwan, Water, 8(11), 521, doi:10.3390/w8110521, 2016.
    8. #Cartaya, S., and R. Mantuano-Eduarte, Identificación de zonas en riesgo de inundación mediante la simulación hidráulica en un segmento del Río Pescadillo, Manabí, Ecuador, Revista de Investigación, 40(89), 158-170, 2016.
    9. Javadnejad, F., B. Waldron, and A. Hill, LITE Flood: Simple GIS-based mapping approach for real-time redelineation of multifrequency floods, Natural Hazards Review, doi:10.1061/(ASCE)NH.1527-6996.0000238, 2017.
    10. Shrestha, A., M. S. Babel, S. Weesakul, and Z. Vojinovic, Developing intensity–duration–frequency (IDF) curves under climate change uncertainty: The case of Bangkok, Thailand, Water, 9(2), 145, doi:10.3390/w9020145, 2017.
    11. Roushangar, K., M. T. Alami, V. Nourani, and A. Nouri, A cost model with several hydraulic constraints for optimizing in practice a trapezoidal cross section, Journal of Hydroinformatics, 19(3), 456-468, doi:10.2166/hydro.2017.081, 2017.
    12. Papaioannou, G., L. Vasiliades, A. Loukas, and G. T. Aronica, Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling, Advances in Geosciences, 44, 23-34, doi:10.5194/adgeo-44-23-2017, 2017.

  1. P.E. O’Connell, D. Koutsoyiannis, H. F. Lins, Y. Markonis, A. Montanari, and T.A. Cohn, The scientific legacy of Harold Edwin Hurst (1880 – 1978), Hydrological Sciences Journal, 61 (9), 1571–1590, doi:10.1080/02626667.2015.1125998, 2016.

    Emanating from his remarkable characterization of long-term variability in geophysical records in the early 1950s, Hurst’s scientific legacy to hydrology and other disciplines is explored. A statistical explanation of the so-called ‘Hurst Phenomenon’ did not emerge until 1968 when Mandelbrot and co-authors proposed fractional Gaussian noise based on the hypothesis of infinite memory. A vibrant hydrological literature ensued where alternative modelling representations were explored and debated eg ARMA models, the Broken Line model, shifting mean models with no memory, FARIMA models, and Hurst-Kolmogorov dynamics, acknowledging a link with the work of Kolmogorov in 1940. The diffusion of Hurst’s work beyond hydrology is summarized by discipline and citations, showing that he arguably has the largest scientific footprint of any hydrologist in the last century. Its particular relevance to the modelling of long-term climatic variability in the era of climate change is discussed. Links to various long-term modes of variability in the climate system, driven by fluctuations in sea surface temperatures and ocean dynamics, are explored. A physical explanation of the Hurst Phenomenon in hydrology remains as a challenge for future research.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2015.1125998

  1. P. Dimitriadis, D. Koutsoyiannis, and P. Papanicolaou, Stochastic similarities between the microscale of turbulence and hydrometeorological processes, Hydrological Sciences Journal, 61 (9), 1623–1640, doi:10.1080/02626667.2015.1085988, 2016.

    Turbulence is considered to generate and drive most geophysical processes. The simplest case is the isotropic turbulence. In this paper, the most common three-dimensional power-spectrum-based models of isotropic turbulence are studied in terms of their stochastic properties. Such models often have a high-order of complexity, lack in stochastic interpretation and violate basic stochastic asymptotic properties, such as the theoretical limits of the Hurst coefficient, in case that Hurst-Kolmogorov behaviour is observed. A simpler and robust model (which incorporates self-similarity structures, e.g. fractal dimension and Hurst coefficient) is proposed using a climacogram-based stochastic framework and tested over high resolution observational data of laboratory scale as well as hydrometeorological observations of wind speed and precipitation intensities. Expressions of other stochastic tools like the autocovariance and power spectrum are also produced from the model and show agreement with data. Finally, uncertainty, discretization and bias related errors are estimated for each stochastic tool, showing lower errors for the climacogram-based ones and larger for power-spectrum ones.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2015.1085988

  1. N. Malamos, and D. Koutsoyiannis, Bilinear surface smoothing for spatial interpolation with optional incorporation of an explanatory variable. Part 2: Application to synthesized and rainfall data, Hydrological Sciences Journal, 61 (3), 527–540, doi:10.1080/02626667.2015.1080826, 2016.

    The non-parametric mathematical framework of Bilinear Surface Smoothing (BSS) methodology provides flexible means for spatial (two dimensional) interpolation of variables. As presented in a companion paper, interpolation is accomplished by means of fitting consecutive bilinear surfaces into a regression model with known break points and adjustable smoothing terms defined by means of angles formed by those bilinear surfaces. Additionally, the second version of the methodology (BSSE) incorporates, in an objective manner, the influence of an explanatory variable available at a considerable denser dataset. In the present study, both versions are explored and illustrated using both synthesized and real world (hydrological) data, and practical aspects of their application are discussed. Also, comparison and validation against the results of commonly used spatial interpolation methods (Inverse Distance Weighted, Spline, Ordinary Kriging and Ordinary Cokriging) is performed in the context of the real world application. In every case, the method’s efficiency to perform interpolation between data points that are interrelated in a complicated manner was confirmed. Especially during the validation procedure presented in the real world case study, BSSE yielded very good results, outperforming those of the other interpolation methods. Given the simplicity of the approach, the proposed mathematical framework overall performance is quite satisfactory, indicating its applicability for diverse tasks of scientific and engineering hydrology and beyond.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2015.1080826

  1. N. Malamos, and D. Koutsoyiannis, Bilinear surface smoothing for spatial interpolation with optional incorporation of an explanatory variable. Part 1:Theory, Hydrological Sciences Journal, 61 (3), 519–526, doi:10.1080/02626667.2015.1051980, 2016.

    Bilinear surface smoothing is an alternative concept which provides flexible means for spatial interpolation. Interpolation is accomplished by means of fitting a bilinear surface into a regression model with known break points and adjustable smoothing terms. Additionally, as an option, the incorporation in an objective manner, of the influence of an explanatory variable available at a considerable denser dataset is possible. The parameters involved in each case (with or without an explanatory variable) are determined by a nonparametric approach based on the generalized cross-validation (GCV) methodology. A convenient search technique of the smoothing parameters was achieved by transforming them in terms of tension parameters, with values restricted in the interval [0, 1). The mathematical framework, the computational implementation and details concerning both versions of the methodology, as well as practical aspects of their application are presented and discussed. In a companion paper, examples using both synthesized and real world (hydrological) data are presented to illustrate the methodology. The proposed mathematical framework constitutes a simple alternative to existing spatial interpolation methodologies.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2015.1051980

  1. P. Dimitriadis, D. Koutsoyiannis, and K. Tzouka, Predictability in dice motion: how does it differ from hydrometeorological processes?, Hydrological Sciences Journal, 61 (9), 1611–1622, doi:10.1080/02626667.2015.1034128, 2016.

    From ancients times dice have been used to denote randomness. A dice throw experiment is set up in order to examine the predictability of the die orientation through time using visualization techniques. We apply and compare a deterministic-chaotic and a stochastic model and we show that both suggest predictability in die motion that deteriorates with time just like in hydrometeorological processes. Namely, die’s trajectory can be predictable for short horizons and unpredictable for long ones. Furthermore, we show that the same models can be applied, with satisfactory results, to high temporal resolution time series of rainfall intensity and wind speed magnitude, occurring during mild and strong weather conditions. The difference among the experimental and two natural processes is in the time length of the high-predictability window, which is of the order of 0.1 s, 10 min and 1 h for dice, rainfall and wind process, respectively.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2015.1034128

  1. D. Koutsoyiannis, Generic and parsimonious stochastic modelling for hydrology and beyond, Hydrological Sciences Journal, 61 (2), 225–244, doi:10.1080/02626667.2015.1016950, 2016.

    The old principle of parsimonious modelling of natural processes has regained its importance in the last few years. The inevitability of uncertainty and risk, and the value of stochastic modelling in dealing with them, are also again appreciated, after a period of growing hopes for radical reduction of uncertainty. Yet in stochastic modelling of natural processes several families of models are used which are often non-parsimonious, unnatural or artificial, theoretically unjustified and, eventually, unnecessary. Here we develop a general methodology for more theoretically justified stochastic processes, which evolve in continuous time and stem from maximum entropy production considerations. The discrete-time properties thereof are theoretically derived from the continuous-time ones and a general simulation methodology in discrete time is built, which explicitly handles the effects of discretization and truncation. Some additional modelling issues are discussed with focus on model identification and fitting, which are often made using inappropriate methods.

    Remarks:

    The first 50 copies of the paper are available for free at: http://www.tandfonline.com/eprint/HvECb686EkMDE6vdpCrY/full

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2015.1016950

    Other works that reference this work (this list might be obsolete):

    1. Serinaldi, F., Can we tell more than we can know? The limits of bivariate drought analyses in the United States, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-015-1124-3, 2015.
    2. Bardsley, E., A finite mixture approach to univariate data simulation with moment matching, Environmental Modelling & Software, 90, 27-33, doi:10.1016/j.envsoft.2016.11.019, 2017.

  1. Y. Markonis, and D. Koutsoyiannis, Scale-dependence of persistence in precipitation records, Nature Climate Change, doi:10.1038/NCLIMATE2894, 2015.

    Long-term persistence or Hurst–Kolmogorov behaviour has been identified in many hydroclimatic records. Such time series are intriguing because they are the hallmark of multi-scale dynamical processes that govern the system from which they arise. They are also highly relevant for water resource managers because these systems exhibit persistent, for example, multi-decadal, mean shifts or extremes clustering that must be included into any long-term drought management strategy. During recent years the growing number of palaeoclimatic reconstructions has allowed further investigation of the long-term statistical properties of climate and an understanding of their implications for the observed change. Recently, the consistency of the proxy data for precipitation was strongly doubted, when their persistence property was compared to the corresponding estimates of instrumental records and model results. The latter suggest that droughts or extremely wet periods occur less frequently than depicted in the palaeoclimatic reconstructions. Here, we show how this could be the outcome of a varying scaling law and present some evidence supporting that proxy records can be reliable descriptors of the long-term precipitation variability.

    See also: http://dx.doi.org/10.1038/NCLIMATE2894

  1. E. Volpi, A. Fiori, S. Grimaldi, F. Lombardo, and D. Koutsoyiannis, One hundred years of return period: Strengths and limitations, Water Resources Research, doi:10.1002/2015WR017820, 2015.

    One hundred years from its original definition by Fuller [1914], the probabilistic concept of return period is widely used in hydrology as well as in other disciplines of geosciences to give an indication on critical event rareness. This concept gains its popularity, especially in engineering practice for design and risk assessment, due to its ease of use and understanding; however, return period relies on some basic assumptions that should be satisfied for a correct application of this statistical tool. Indeed, conventional frequency analysis in hydrology is performed by assuming as necessary conditions that extreme events arise from a stationary distribution and are independent of one another. The main objective of this paper is to investigate the properties of return period when the independence condition is omitted; hence, we explore how the different definitions of return period available in literature affect results of frequency analysis for processes correlated in time. We demonstrate that, for stationary processes, the independence condition is not necessary in order to apply the classical equation of return period (i.e. the inverse of exceedance probability). On the other hand, we show that the time-correlation structure of hydrological processes modifies the shape of the distribution function of which the return period represents the first moment. This implies that, in the context of time-dependent processes, the return period might not represent an exhaustive measure of the probability of failure, and that its blind application could lead to misleading results. To overcome this problem, we introduce the concept of Equivalent Return Period, which controls the probability of failure still preserving the virtue of effectively communicating the event rareness.

    Additional material:

    See also: http://dx.doi.org/10.1002/2015WR017820

  1. P. Dimitriadis, and D. Koutsoyiannis, Application of stochastic methods to double cyclostationary processes for hourly wind speed simulation, Energy Procedia, 76, 406–411, doi:10.1016/j.egypro.2015.07.851, 2015.

    In this paper, we present a methodology to analyze processes of double cyclostationarity (e.g. daily and seasonal). This method preserves the marginal characteristics as well as the dependence structure of a process (through the use of climacogram). It consists of a normalization scheme with two periodicities. Furthermore, we apply it to a meteorological station in Greece and construct a stochastic model capable of preserving the Hurst-Kolmogorov behaviour. Finally, we produce synthetic time-series (based on aggregated Markovian processes) for the purpose of wind speed and energy production simulation (based on a proposed industrial wind turbine).

    Remarks:

    The pdf file with the full text contains a correction of an erratum in Equation (2)

    Full text: http://www.itia.ntua.gr/en/getfile/1570/1/documents/1-s2.0-S1876610215016276-main-2.pdf (1143 KB)

    See also: http://dx.doi.org/10.1016/j.egypro.2015.07.851

  1. A. Tegos, A. Efstratiadis, N. Malamos, N. Mamassis, and D. Koutsoyiannis, Evaluation of a parametric approach for estimating potential evapotranspiration across different climates, Agriculture and Agricultural Science Procedia, 4, 2–9, doi:10.1016/j.aaspro.2015.03.002, 2015.

    Potential evapotranspiration (PET) is key input in water resources, agricultural and environmental modelling. For many decades, numerous approaches have been proposed for the consistent estimation of PET at several time scales of interest. The most recognized is the Penman-Monteith formula, which is yet difficult to apply in data-scarce areas, since it requires simultaneous observations of four meteorological variables (temperature, sunshine duration, humidity, wind velocity). For this reason, parsimonious models with minimum input data requirements are strongly preferred. Typically, these have been developed and tested for specific hydroclimatic conditions, but when they are applied in different regimes they provide much less reliable (and in some cases misleading) estimates. Therefore, it is essential to develop generic methods that remain parsimonious, in terms of input data and parameterization, yet they also allow for some kind of local adjustment of their parameters, through calibration. In this study we present a recent parametric formula, based on a simplified formulation of the original Penman-Monteith expression, which only requires mean daily or monthly temperature data. The method is evaluated using meteorological records from different areas worldwide, at both the daily and monthly time scales. The outcomes of this extended analysis are very encouraging, as indicated by the substantially high validation scores of the proposed approach across all examined data sets. In general, the parametric model outperforms well-established methods of the everyday practice, since it ensures optimal approximation of potential evapotranspiration.

    Full text: http://www.itia.ntua.gr/en/getfile/1549/1/documents/IRLA_paper.pdf (560 KB)

    See also: http://dx.doi.org/10.1016/j.aaspro.2015.03.002

    Other works that reference this work (this list might be obsolete):

    1. Stan, F.I., G. Neculau, L. Zaharia, G. Ioana-Toroimac, and S. Mihalache, Study on the evaporation and evapotranspiration measured on the Căldăruşani Lake (Romania), Procedia Environmental Sciences, 32, 281–289, doi:10.1016/j.proenv.2016.03.033, 2016.
    2. Esquivel-Hernández, G., R. Sánchez-Murillo, C. Birkel, S. P. Good, and J. Boll, Hydro-climatic and ecohydrological resistance/resilience conditions across tropical biomes of Costa Rica, Ecohydrology, doi:10.1002/eco.1860, 2017.

  1. K. Kollyropoulos, G. Antoniou, I. Kalavrouziotis, J. Krasilnikoff, D. Koutsoyiannis, and A. N. Angelakis, Hydraulic characteristics of the drainage systems of ancient Hellenic theatres: Case study of the theatre of Dionysus and its implications, Journal of Irrigation and Drainage Engineering (ASCE), 141 (11), doi:10.1061/(ASCE)IR.1943-4774.0000906, 2015.

    The content of this article provides interesting history, facts, and information about the drainage systems of ancient theaters in mainland Greece and Asia Minor from prehistoric times until the Hellenistic period. This study comprises representative examples of drainage systems in theaters at Knossos, Phaistos, Dionysus in Athens, Arcadian Orchomenos, Ephesus, and Delos. Moreover, the aim is to demonstrate that these drainage systems represent evolutionary techniques and principles that can still be used today to avoid wasting water resources. Moreover, these techniques may prove attractive for the development of sustainable strategies to counter mounting problems, especially those of a socioeconomic nature. In addition, the article presents evidence for the conception that adaptations to individual environmental and hydraulic characteristics of specific locations were considered in relation to drainage systems of ancient theaters. Thus, through a case study of the carrying capacity of drainage channels at Dionysus ’s theater in Athens, the sustainable nature of this construction is demonstrated, including its capacity for the management of stormwater.

    Additional material:

    See also: http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000906

  1. A. Tegos, N. Malamos, and D. Koutsoyiannis, A parsimonious regional parametric evapotranspiration model based on a simplification of the Penman-Monteith formula, Journal of Hydrology, 524, 708–717, doi:10.1016/j.jhydrol.2015.03.024, 2015.

    Evapotranspiration is a key hydrometeorological process and its estimation is important in many fields of hydrological and agricultural sciences. Simplified estimation proves very useful in absence of a complete data set. In this respect, a parametric model based on simplification of the Penman-Monteith formulation is presented. The basic idea of the parametric model is the replacement of some of the variables and constants that are used in the standard Penman-Monteith model by regionally varying parameters, which are estimated through calibration. The model is implemented in various climates on monthly time step (USA, Germany, Spain) and compared on the same basis with four radiation-based methods (Jensen-Haise, McGuiness and Bordne, Hargreaves and Oudin) and two temperature-based (Thornthwaite and Blaney-Criddle). The methodology yields very good results with high efficiency indexes, outperforming the other models. Finally, a spatial analysis including the correlation of parameters with latitude and elevation together with their regionalization through three common spatial interpolation techniques along with a recent approach (Bilinear Surface Smoothing), is performed. Also, the model is validated against Penman-Monteith estimates in eleven stations of the well-known CIMIS network. The total framework which includes the development, the implementation, the comparison and the mapping of parameters illustrates a new parsimonious and high efficiency methodology in the assessment of potential evapotranspiration field.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.jhydrol.2015.03.024

  1. P. Dimitriadis, and D. Koutsoyiannis, Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov processes, Stochastic Environmental Research & Risk Assessment, 29 (6), 1649–1669, doi:10.1007/s00477-015-1023-7, 2015.

    Three common stochastic tools, the climacogram i.e. variance of the time averaged process over averaging time scale, the autocovariance function and the power spectrum are compared to each other to assess each one’s advantages and disadvantages in stochastic modelling and statistical inference. Although in theory, all three are equivalent to each other (transformations one another expressing second order stochastic properties), in practical application their ability to characterize a geophysical process and their utility as statistical estimators may vary. In the analysis both Markovian and non Markovian stochastic processes, which have exponential and power-type autocovariances, respectively, are used. It is shown that, due to high bias in autocovariance estimation, as well as effects of process discretization and finite sample size, the power spectrum is also prone to bias and discretization errors as well as high uncertainty, which may misrepresent the process behaviour (e.g. Hurst phenomenon) if not taken into account. Moreover, it is shown that the classical climacogram estimator has small error as well as an expected value always positive, well-behaved and close to its mode (most probable value), all of which are important advantages in stochastic model building. In contrast, the power spectrum and the autocovariance do not have some of these properties. Therefore, when building a stochastic model, it seems beneficial to start from the climacogram, rather than the power spectrum or the autocovariance. The results are illustrated by a real world application based on the analysis of a long time series of high-frequency turbulent flow measurements.

    Additional material:

    See also: http://dx.doi.org/10.1007/s00477-015-1023-7

    Other works that reference this work (this list might be obsolete):

    1. Serinaldi, F., Can we tell more than we can know? The limits of bivariate drought analyses in the United States, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-015-1124-3, 2015.

  1. A. Efstratiadis, I. Nalbantis, and D. Koutsoyiannis, Hydrological modelling of temporally-varying catchments: Facets of change and the value of information, Hydrological Sciences Journal, 60 (7-8), 1438–1461, doi:10.1080/02626667.2014.982123, 2015.

    River basins are by definition temporally varying systems: changes are apparent at every temporal scale, in terms of changing meteorological inputs and catchment characteristics, respectively due to inherently uncertain natural processes and anthropogenic interventions. In an operational context, the ultimate goal of hydrological modelling is predicting responses of the basin under conditions that are similar or different from those observed in the past. Since water management studies require that anthropogenic effects are considered known and a long hypothetical period is simulated, the combined use of stochastic models, for generating the inputs, and deterministic models that also represent the human interventions in modified basins, is found to be a powerful approach for providing realistic and statistically consistent simulations (in terms of product moments and correlations, at multiple time scales, and long-term persistence). The proposed framework is investigated on the Ferson Creek basin (USA) that exhibits significantly growing urbanization during the last 30 years. Alternative deterministic modelling options include a lumped water balance model with one time-varying parameter and a semi-distributed scheme based on the concept of hydrological response units. Model inputs and errors are respectively represented through linear and non-linear stochastic models. The resulting nonlinear stochastic framework maximizes the exploitation of the existing information, by taking advantage of the calibration protocol used in this issue.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2014.982123

    Other works that reference this work (this list might be obsolete):

    1. Thirel, G., V. Andréassian, and C. Perrin, On the need to test hydrological models under changing conditions, Hydrological Sciences Journal, 60(7-8), 1165-1173, doi:10.1080/02626667.2015.1050027, 2015.
    2. Biao, I. E., S. Gaba, A. E. Alamou, and A. Afouda, Influence of the uncertainties related to the random component of rainfall inflow in the Ouémé River Basin (Benin, West Africa), International Journal of Current Engineering and Technology, 5(3), 1618-1629, 2015.
    3. #Christelis, V., and A. Mantoglou, Pumping optimization of coastal aquifers using radial basis function metamodels, Proceedings of 9th World Congress EWRA “Water Resources Management in a Changing World: Challenges and Opportunities”, Istanbul, 2015.
    4. Christelis, V., and A. Mantoglou, Coastal aquifer management based on the joint use of density-dependent and sharp interface models, Water Resources Management, 30(2), 861-876, doi:10.1007/s11269-015-1195-4, 2016.
    5. McMillan, H., A. Montanari, C. Cudennec, H. Savenjie, H. Kreibich, T. Krüger, J. Liu, A. Meija, A. van Loon, H. Aksoy, G. Di Baldassarre, Y. Huang, D. Mazvimavi, M. Rogger, S. Bellie, T. Bibikova, A. Castellarin, Y. Chen, D. Finger, A. Gelfan, D. Hannah, A. Hoekstra, H. Li, S. Maskey, T. Mathevet, A. Mijic, A. Pedrozo Acuña, M. J. Polo, V. Rosales, P. Smith, A. Viglione, V. Srinivasan, E. Toth, R. van Nooyen, and J. Xia, Panta Rhei 2013-2015: Global perspectives on hydrology, society and change, Hydrological Sciences Journal, 61(7), 1174-1191, doi:10.1080/02626667.2016.1159308, 2016.
    6. Biao, I. E., A. E. Alamou, and A. Afouda, Improving rainfall–runoff modelling through the control of uncertainties under increasing climate variability in the Ouémé River basin (Benin, West Africa), Hydrological Sciences Journal, 61(16), 2902-2915, doi:10.1080/02626667.2016.1164315, 2016.
    7. Pathiraja, S., L. Marshall, A. Sharma, and H. Moradkhani, Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation, Advances in Water Resources, 94, 103–119, doi:10.1016/j.advwatres.2016.04.021, 2016.
    8. Christelis, V., and A. Mantoglou, Pumping optimization of coastal aquifers assisted by adaptive metamodelling methods and radial basis functions, Water Resources Management, 30(15), 5845–5859, doi:10.1007/s11269-016-1337-3, 2016.
    9. Seibert, J., and I. van Meerveld, Hydrological change modeling: Challenges and opportunities, Hydrological Processes, 30(26), 4966–4971, doi:10.1002/hyp.10999, 2016.
    10. Ceola, S., A. Montanari, T. Krueger, F. Dyer, H. Kreibich, I. Westerberg, G. Carr, C. Cudennec, A. Elshorbagy, H. Savenije, P. van der Zaag, D. Rosbjerg, H. Aksoy, F. Viola, G. Petrucci, K. MacLeod, B. Croke, D. Ganora, L. Hermans, M. J. Polo, Z. Xu, M. Borga, J. Helmschrot, E. Toth, R., A. Castellarin, A. Hurford, M. Brilly, A. Viglione, G. Blöschl, M. Sivapalan, A. Domeneghetti, A. Marinelli, and G. Di Baldassarre, Adaptation of water resources systems to changing society and environment: a statement by the International Association of Hydrological Sciences, Hydrological Sciences Journal, 61(16), 2803-2817, doi:10.1080/02626667.2016.1230674, 2016.
    11. #Christelis, V., V. Bellos, and G. Tsakiris, Employing surrogate modelling for the calibration of a 2D flood simulation model, Sustainable Hydraulics in the Era of Global Change: Proceedings of the 4th IAHR Europe Congress (Liege, Belgium, 27-29 July 2016), A. S. Erpicum, M. Pirotton, B. Dewals, P. Archambeau (editors), CRC Press, 2016.
    12. Nauditt, A., C. Birkel, C. Soulsby, and L. Ribbe, Conceptual modelling to assess the influence of hydroclimatic variability on runoff processes in data scarce semi-arid Andean catchments, Hydrological Sciences Journal, 62(4), 515-532, doi:10.1080/02626667.2016.1240870, 2017.

  1. D. Koutsoyiannis, and A. Montanari, Negligent killing of scientific concepts: the stationarity case, Hydrological Sciences Journal, 60 (7-8), 1174–1183, doi:10.1080/02626667.2014.959959, 2015.

    In the scientific vocabulary, the term “process” is used to denote change in time. Even a stationary process describes a system changing in time, rather than a static one which keeps a constant state all the time. However, this is often missed, which has led to misusing the term “nonstationarity” as a synonym of “change”. A simple rule to avoid such misuse is to answer the question: can the change be predicted in deterministic terms? Only if the answer is positive it is legitimate to invoke nonstationarity. In addition, we should have in mind that models are made to simulate the future rather than to describe the past; the past is rather characterized by observations (data). Usually future changes are not deterministically predictable and thus the models should, on the one hand, be stationary and, on the other hand, describe in stochastic terms the full variability, originating from all agents of change. Even if the past evolution of the process of interest contains changes explainable in deterministic terms (e.g. urbanization), again it is better to describe the future conditions in stationary terms, after “stationarizing” the past observations, i.e. adapting them to represent the future conditions.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2014.959959

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Thirel, G., V. Andréassian, and C. Perrin, On the need to test hydrological models under changing conditions, Hydrological Sciences Journal, doi:10.1080/02626667.2015.1050027, 2015.
    2. Andrés-Doménech, I., R. García-Bartual, A. Montanari and J. B. Marco, Climate and hydrological variability: the catchment filtering role, Hydrol. Earth Syst. Sci., 19 (1), 379-387, 2015.
    3. Serinaldi, F., and C.G. Kilsby, Stationarity is undead: Uncertainty dominates the distribution of extremes, Advances in Water Resources, 77, 17-36, 2015.
    4. Steinschneider, S., and U. Lall, A hierarchical Bayesian regional model for nonstationary precipitation extremes in Northern California conditioned on tropical moisture exports, Water Resources Research, 51 (3), 1472-1492, 2015.
    5. Ceola, S., B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione and T. Wagener, Virtual laboratories: New opportunities for collaborative water science, Hydrology and Earth System Sciences, 19 (4), 2101-2117, 2015.
    6. Serinaldi, F., Can we tell more than we can know? The limits of bivariate drought analyses in the United States, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-015-1124-3, 2015.
    7. Kundzewicz, Z. W., V. Krysanova, R. Dankers, Y. Hirabayashi, S. Kanae, F. F. Hattermann, S. Huang, P. C. D. Milly, M. Stoffel, P. P. J. Driessen, P. Matczak, P. Quevauviller, and H.-J. Schellnhuber, Differences in flood hazard projections in Europe – their causes and consequences for decision making, Hydrological Sciences Journal, doi:10.1080/02626667.2016.1241398, 2016.

  1. N. Malamos, and D. Koutsoyiannis, Broken line smoothing for data series interpolation by incorporating an explanatory variable with denser observations: Application to soil-water and rainfall data, Hydrological Sciences Journal, doi:10.1080/02626667.2014.899703, 2015.

    Broken line smoothing is a simple technique for smoothing a broken line fit to observational data and provides flexible means for interpolation. Here an extension of this technique is proposed, which can be utilized to perform various interpolation tasks, by incorporating, in an objective manner, an explanatory variable available at a considerably denser dataset than the initial main variable. The technique incorporates smoothing terms with adjustable weights, defined by means of the angles formed by the consecutive segments of two broken lines. The mathematical framework and details of the method as well as practical aspects of its application are presented and discussed. Also, examples using both synthesized and real world (soil water dynamics and hydrological) data are presented to explore and illustrate the methodology.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2014.899703

  1. A. Sikorska, A. Montanari, and D. Koutsoyiannis, Estimating the uncertainty of hydrological predictions through data-driven resampling techniques, Journal of Hydrologic Engineering (ASCE), 20 (1), doi:10.1061/(ASCE)HE.1943-5584.0000926, 2015.

    Estimating the uncertainty of hydrological models remains a relevant challenge in applied hydrology, mostly because it is not easy to parameterize the complex structure of hydrological model errors. A non-parametric technique is proposed as an alternative to parametric error models to estimate the uncertainty of hydrological predictions. Within this approach, the above uncertainty is assumed to depend on input data uncertainty, parameter uncertainty and model error, where the latter aggregates all sources of uncertainty that are not considered explicitly. Errors of hydrological models are simulated by resampling from their past realizations using a nearest neighbor approach, therefore avoiding a formal description of their statistical properties. The approach is tested using synthetic data which refer to the case study located in Italy. The results are compared with those obtained using a formal statistical technique (meta-Gaussian approach) from the same case study. Our findings prove that the nearest neighbor approach provides simplicity in application and a significant improvement in regard to the meta-Gaussian approach. Resampling techniques appear therefore to be an interesting option for uncertainty assessment in hydrology, provided that historical data are available to provide a consistent description of the model error.

    Additional material:

    See also: http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000926

    Other works that reference this work (this list might be obsolete):

    1. Thompson, S. E., M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari and G. and Blöschl, Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013-5039, 2013.
    2. Sikorska, A.E., D. Del Giudice, K. Banasik, and J. Rieckermann, The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration, Journal of Hydrology, doi:10.1016/j.jhydrol.2015.09.051, 2015.

  1. A. Montanari, and D. Koutsoyiannis, Modeling and mitigating natural hazards: Stationarity is immortal!, Water Resources Research, 50 (12), 9748–9756, doi:10.1002/2014WR016092, 2014.

    Environmental change is a reason of relevant concern as it is occurring at an unprecedented pace and might increase natural hazards. Moreover, it is deemed to imply a reduced representativity of past experience and data on extreme hydroclimatic events. The latter concern has been epitomized by the statement that “stationarity is dead”. Setting up policies for mitigating natural hazards, including those triggered by floods and droughts, is an urgent priority in many countries, which implies practical activities of management, engineering design and construction. These latter necessarily need to be properly informed and therefore the research question on the value of past data is extremely important. We herein argue that there are mechanisms in hydrological systems that are time invariant, which may need to be interpreted through data inference. In particular, hydrological predictions are based on assumptions which should include stationarity, as any hydrological model, including deterministic and non-stationary approaches, is affected by uncertainty and therefore should include a random component that is stationary. Given that an unnecessary resort to non-stationarity may imply a reduction of predictive capabilities, a pragmatic approach, based on the exploitation of past experience and data is a necessary prerequisite for setting up mitigation policies for environmental risk.

    Additional material:

    See also: http://dx.doi.org/10.1002/2014WR016092

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Andrés-Doménech, I., R. García-Bartual, A. Montanari and J. B. Marco, Climate and hydrological variability: the catchment filtering role, Hydrol. Earth Syst. Sci., 19 (1), 379-387, 2015.
    2. Serinaldi, F., and C.G. Kilsby, Stationarity is undead: Uncertainty dominates the distribution of extremes, Advances in Water Resources, 77, 17-36, 2015.
    3. Yang, L., F. Tian and D. Niyogi, A need to revisit hydrologic responses to urbanization by incorporating the feedback on spatial rainfall patterns, Urban Climate, 12, 128-140, 2015.
    4. Ceola, S., B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione and T. Wagener, Virtual laboratories: New opportunities for collaborative water science, Hydrology and Earth System Sciences, 19 (4), 2101-2117, 2015.
    5. Dhakal, N., S. Jain, A. Gray, M. Dandy and E. Stancioff, Nonstationarity in seasonality of extreme precipitation: A nonparametric circular statistical approach and its application, Water Resources Research, 51 (6), 4499-4515, 2015.
    6. Prosdocimi, I., T.R. Kjeldsen and J.D. Miller, Detection and attribution of urbanization effect on flood extremes using nonstationary flood-frequency models, Water Resources Research, 51 (6), 4244-4262, 2015.
    7. Bayazit, M., Nonstationarity of hydrological records and recent trends in trend analysis: a state-of-the-art review, Environmental Processes, 2 (3), 527-542, 10.1007/s40710-015-0081-7, 2015.
    8. Serinaldi, F., Can we tell more than we can know? The limits of bivariate drought analyses in the United States, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-015-1124-3, 2015.

  1. A. Efstratiadis, Y. Dialynas, S. Kozanis, and D. Koutsoyiannis, A multivariate stochastic model for the generation of synthetic time series at multiple time scales reproducing long-term persistence, Environmental Modelling and Software, 62, 139–152, doi:10.1016/j.envsoft.2014.08.017, 2014.

    A time series generator is presented, employing a robust three-level multivariate scheme for stochastic simulation of correlated processes. It preserves the essential statistical characteristics of historical data at three time scales (annual, monthly, daily), using a disaggregation approach. It also reproduces key properties of hydrometeorological and geophysical processes, namely the long-term persistence (Hurst-Kolmogorov behaviour), the periodicity and intermittency. Its efficiency is illustrated through two case studies in Greece. The first aims to generate monthly runoff and rainfall data at three reservoirs of the hydrosystem of Athens. The second involves the generation of daily rainfall for flood simulation at five rain gauges. In the first emphasis is given to long-term persistence – a dominant characteristic in the management of large-scale hydrosystems, comprising reservoirs with carry-over storage capacity. In the second we highlight to the consistent representation of intermittency and asymmetry of daily rainfall, and the distribution of annual daily maxima.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.envsoft.2014.08.017

    Other works that reference this work (this list might be obsolete):

    1. Huo, S.-C., S.-L. Lo, C.-H. Chiu, P.-T. Chiueh, and C.-S. Yang, Assessing a fuzzy model and HSPF to supplement rainfall data for nonpoint source water quality in the Feitsui reservoir watershed, Environmental Modelling and Software, 72, 110-116, doi:10.1016/j.envsoft.2015.07.002, 2015.
    2. Read, L., and R. M. Vogel, Reliability, return periods, and risk under nonstationarity, Water Resources Research, 51(8), 6381–6398, doi:10.1002/2015WR017089, 2015.
    3. Steidl, J., J. Schuler, U. Schubert, O. Dietrich, and P. Zander, Expansion of an existing water management model for the analysis of opportunities and impacts of agricultural irrigation under climate change conditions, Water, 7, 6351-6377, doi:10.3390/w7116351, 2015.
    4. Hao, Z., and V. P. Singh, Review of dependence modeling in hydrology and water resources, Progress in Physical Geography, 40(4), 549-578, doi:10.1177/0309133316632460, 2016.
    5. Srivastav, R., K. Srinivasan, and S. P. Sudheer, Simulation-optimization framework for multi-site multi-season hybrid stochastic streamflow modeling, Journal of Hydrology, 542, 506-531, doi:10.1016/j.jhydrol.2016.09.025, 2016.
    6. Dialynas, Y. G., S. Bastola, R. L. Bras, E. Marin-Spiotta, W. L. Silver, E. Arnone, and L. V. Noto, Impact of hydrologically driven hillslope erosion and landslide occurrence on soil organic carbon dynamics in tropical watersheds, Water Resources Research, 52(11), 8895–8919, doi:10.1002/2016WR018925, 2016.
    7. Stojković, M., S. Kostić, J. Plavšić, and S. Prohaska, A joint stochastic-deterministic approach for long-term and short-term modelling of monthly flow rates, Journal of Hydrology, 544, 555–566, doi:10.1016/j.jhydrol.2016.11.025, 2017.
    8. Bardsley, E., A finite mixture approach to univariate data simulation with moment matching, Environmental Modelling & Software, 90, 27-33, doi:10.1016/j.envsoft.2016.11.019, 2017.
    9. Dialynas, Y. D., R. L. Bras, and D. deB. Richter, Hydro-geomorphic perturbations on the soil-atmosphere CO2 exchange: How (un)certain are our balances?, Water Resources Research, 53(2), 1664–1682, doi:10.1002/2016WR019411, 2017.
    10. Hua, Y., and B. Cui, Environmental flows and its satisfaction degree forecasting in the Yellow River, Ecological Indicators, doi:10.1016/j.ecolind.2017.02.017, 2017.
    11. Feng , M., P. Liu, S. Guo, Z. Gui, X. Zhang, W. Zhang, and L. Xiong, Identifying changing patterns of reservoir operating rules under various inflow alteration scenarios, Advances in Water Resources, 104, 23-26, doi:10.1016/j.advwatres.2017.03.003, 2017.
    12. Stojković, M., J. Plavšić, and S. Prohaska, Annual and seasonal discharge prediction in the middle Danube River basin based on a modified TIPS (Tendency, Intermittency, Periodicity, Stochasticity) methodology, Journal of Hydrology and Hydromechanics, 65(2), doi:10.1515/johh-2017-0012, 2017.

  1. S. Ceola, A. Montanari, and D. Koutsoyiannis, Toward a theoretical framework for integrated modeling of hydrological change, WIREs Water, 1 (5), 427–438, doi:10.1002/wat2.1038, 2014.

    In an attempt to provide a unified scheme for the simulation of changing behaviors of hydrological systems, a theoretical framework for stationary and non-stationary modeling is presented. The main triggers for hydrological change are reviewed, their impact on the long-term properties of the inherent system are analyzed, and theoretical solutions are proposed for their representation. Model calibration is also discussed along with the impact of hydrological change on simulation uncertainty. Non-stationarity and its simulation are examined as well. We propose a stochastic approach that is general, and allows a comprehensive treatment of uncertainty. The proposed framework is relevant to integrated modeling of hydrology and human impacts and therefore fits into the concepts of ‘Panta Rhei’, the scientific decade 2013–2022 promoted by the International Association of Hydrological Sciences.

    Additional material:

    See also: http://dx.doi.org/10.1002/wat2.1038

    Other works that reference this work (this list might be obsolete):

    1. Ceola, S., B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione and T. Wagener, Virtual laboratories: New opportunities for collaborative water science, Hydrology and Earth System Sciences, 19 (4), 2101-2117, 2015.
    2. Yuan, X., E.F. Wood and Z. Ma, A review on climate-model-based seasonal hydrologic forecasting: physical understanding and system development, WIREs Water, 2, 523–536, 10.1002/wat2.1088, 2015.

  1. C. Pappas, S.M. Papalexiou, and D. Koutsoyiannis, A quick gap-filling of missing hydrometeorological data, Journal of Geophysical Research-Atmospheres, 119 (15), 9290–9300, doi:10.1002/2014JD021633, 2014.

    Data-gaps are ubiquitous in hydrometeorological time series and filling these values remains still a challenge. Since datasets without missing values may be a prerequisite in performing many analyses, a quick and efficient gap-filling methodology is required. In this study the problem of filling sporadic, single-value gaps using time-adjacent observations from the same location is investigated. The applicability of a local average (i.e., based on few neighboring in time observations) is examined and its advantages over the sample average (i.e., using the whole dataset) are illustrated. The analysis reveals that a quick and very efficient (i.e., minimum mean squared estimation error) gap-filling is achieved by combining a strictly local average (i.e., using one observation before and one after the missing value) with the sample mean.

    Additional material:

    See also: http://dx.doi.org/10.1002/2014JD021633

  1. D. Koutsoyiannis, Social vs. scientific perception of change in hydrology and climate — Reply to the Discussion by Arie Ben-Zvi on the Opinion Paper “Hydrology and Change”, Hydrological Sciences Journal, 59 (8), 1625–1626, doi:10.1080/02626667.2014.935382, 2014.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2014.935382

  1. A. Montanari, and D. Koutsoyiannis, Reply to comment by G. Nearing on ‘‘A blueprint for process-based modeling of uncertain hydrological systems’’, Water Resources Research, 50 (7), 6264–6268, doi:10.1002/2013WR014987, 2014.

    Full text: http://www.itia.ntua.gr/en/getfile/1464/1/documents/2014WRR_ReplyToNearing.pdf (204 KB)

    Additional material:

    See also: http://dx.doi.org/10.1002/2013WR014987

    Other works that reference this work (this list might be obsolete):

    1. Ceola, S., B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione and T. Wagener, Virtual laboratories: New opportunities for collaborative water science, Hydrology and Earth System Sciences, 19 (4), 2101-2117, 2015.

  1. G. Blöschl, A. Bardossy, D. Koutsoyiannis, Z. W. Kundzewicz, I. G. Littlewood, A. Montanari, and H. H. G. Savenije, Joint Editorial—On the future of journal publications in hydrology, Hydrological Sciences Journal, 59 (5), 955–958, doi:10.1080/02626667.2014.908041, 2014.

    Remarks:

    The Joint Editorial was also published in:

    Full text: http://www.itia.ntua.gr/en/getfile/1448/1/documents/2014JointEditorial.pdf (67 KB)

    See also: http://dx.doi.org/10.1080/02626667.2014.908041

    Other works that reference this work (this list might be obsolete):

    1. Montanari, A., Water Resources Research in 2013,Water Resour. Res., 50, 10.1002/2014WR015648, 2014.
    2. Hughes, D. A., K. V. Heal and C. Leduc, Improving the visibility of hydrological sciences from developing countries, Hydrological Sciences Journal, 10.1080/02626667.2014.938653, 2014.
    3. Cudennec, C., and A. De Lavenne, Editorial: Hydrogeomorphology - A long-term scientific interface, Hydrology Research, 46 (2), 175-179, 2015.

  1. D. Koutsoyiannis, Entropy: from thermodynamics to hydrology, Entropy, 16 (3), 1287–1314, doi:10.3390/e16031287, 2014.

    Some known results from statistical thermophysics as well as from hydrology are revisited from a different perspective trying: (a) to unify the notion of entropy in thermodynamic and statistical/stochastic approaches of complex hydrological systems and (b) to show the power of entropy and the principle of maximum entropy in inference, both deductive and inductive. The capability for deductive reasoning is illustrated by deriving the law of phase change transition of water (Clausius-Clapeyron) from scratch by maximizing entropy in a formal probabilistic frame. However, such deductive reasoning cannot work in more complex hydrological systems with diverse elements, yet the entropy maximization framework can help in inductive inference, necessarily based on data. Several examples of this type are provided in an attempt to link statistical thermophysics with hydrology with a unifying view of entropy.

    Related works:

    • [287] Predecessor talk

    Full text: http://www.itia.ntua.gr/en/getfile/1432/1/documents/entropy-16-01287_dk.pdf (1265 KB)

    See also: http://dx.doi.org/10.3390/e16031287

  1. A. Efstratiadis, A. D. Koussis, D. Koutsoyiannis, and N. Mamassis, Flood design recipes vs. reality: can predictions for ungauged basins be trusted?, Natural Hazards and Earth System Sciences, 14, 1417–1428, doi:10.5194/nhess-14-1417-2014, 2014.

    Despite the great scientific and technological advances in flood hydrology, everyday engineering practices still follow simplistic approaches that are easy to formally implement in ungauged areas. In general, these "recipes" have been developed many decades ago, based on field data from typically few experimental catchments. However, many of them have been neither updated nor validated across all hydroclimatic and geomorphological conditions. This has an obvious impact on the quality and reliability of hydrological studies, and, consequently, on the safety and cost of the related flood protection works. Preliminary results, based on historical flood data from Cyprus and Greece, indicate that a substantial revision of many aspects of flood engineering procedures is required, including the regionalization formulas as well as the modelling concepts themselves. In order to provide a consistent design framework and to ensure realistic predictions of the flood risk (a key issue of the 2007/60/EU Directive) in ungauged basins, it is necessary to rethink the current engineering practices. In this vein, the collection of reliable hydrological data would be essential for re-evaluating the existing "recipes", taking into account local peculiarities, and for updating the modelling methodologies as needed.

    Full text: http://www.itia.ntua.gr/en/getfile/1413/7/documents/nhess-14-1417-2014.pdf (207 KB)

    Additional material:

    See also: http://www.nat-hazards-earth-syst-sci.net/14/1417/2014/

    Other works that reference this work (this list might be obsolete):

    1. van Emmerik, T. H. M., G. Mulder, D. Eilander, M. Piet, and H. Savenije, Predicting the ungauged basin: Model validation and realism assessment, Frontiers in Earth Sciences, 3:62, doi:10.3389/feart.2015.00062, 2015.
    2. Biondi, D., and L. Da Luca, Process-based design flood estimation in ungauged basins by conditioning model parameters on regional hydrological signatures, Natural Hazards, 79(2), 1015-1038, doi:10.1007/s11069-015-1889-1, 2015.
    3. Yannopoulos, S., E. Eleftheriadou, S. Mpouri, and I. Giannopoulou, Implementing the requirements of the European Flood Directive: the case of ungauged and poorly gauged watersheds, Environmental Processes, 2(1), 191-207, doi:10.1007/s40710-015-0094-2, 2015.
    4. Wałęga, A., and A. Rutkowska, Usefulness of the modified NRCS-CN method for the assessment of direct runoff in a mountain catchment, Acta Geophysica, 63(5), 1423–1446, doi:10.1515/acgeo-2015-0043, 2015.
    5. Walega, A., B. Michalec, A. Cupak, and M. Grzebinoga, Comparison of SCS-CN determination methodologies in a heterogeneous catchment, Journal of Mountain Science, 12(5), 1084-1094, doi:10.1007/s11629-015-3592-9, 2015.
    6. Petroselli, A., and S. Grimaldi, Design hydrograph estimation in small and fully ungauged basins: a preliminary assessment of the EBA4SUB framework, Journal of Flood Risk Management, doi:10.1111/jfr3.12193, 2015.
    7. Awadallah, A.G., H. Saad, A. Elmoustafa, and A. Hassan, Reliability assessment of water structures subject to data scarcity using the SCS-CN model, Hydrological Sciences Journal, 61(4), 696-710, doi:10.1080/02626667.2015.1027709, 2016.
    8. Merheb, M., R. Moussa, C. Abdallah, F. Colin, C. Perrin, and N. Baghdadi, Hydrological response characteristics of Mediterranean catchments at different time scales: a meta-analysis, Hydrological Sciences Journal, 61(14), 2520-2539, doi:10.1080/02626667.2016.1140174, 2016.
    9. Kjeldsen, T., H. Kim, C. Jang, and H. Lee, Evidence and implications of nonlinear flood response in a small mountainous watershed, Journal of Hydrologic Engineering, 21(8), 04016024, doi:10.1061/(ASCE)HE.1943-5584.0001343, 2016.
    10. Taghvaye Salimi, E., A. Nohegar, A. Malekian, M. Hoseini, and A. Holisaz, Estimating time of concentration in large watersheds, Paddy and Water Environment, 15(1), 123-132, doi:10.1007/s10333-016-0534-2, 2017.
    11. Biondi, D., and D. L. De Luca, Rainfall-runoff model parameter conditioning on regional hydrological signatures: application to ungauged basins in southern Italy, Hydrology Research, doi:10.2166/nh.2016.097, 2016.
    12. Attakora-Amaniampong, E., E. Owusu-Sekyere, and D. Aboagye, Urban floods and residential rental values nexus in Kumasi, Ghana, Ghana Journal of Development Studies, 13(2), 176-194, 2016.
    13. #Destro, E., E. I. Nikolopoulos, J. D. Creutin, and M. Borga, Floods, Environmental Hazards Methodologies for Risk Assessment and Management, Dalezios, N. R. (editor), Chapter 4, IWA Publishing, 2017.
    14. van Noordwijk, M., L. Tanika, L., and B. Lusiana, Flood risk reduction and flow buffering as ecosystem services – Part 1: Theory on flow persistence, flashiness and base flow, Hydrology and Earth System Sciences, 21, 2321-2340, doi:10.5194/hess-21-2321-2017, 2017.

  1. D. Koutsoyiannis, Reconciling hydrology with engineering, Hydrology Research, 45 (1), 2–22, doi:10.2166/nh.2013.092, 2014.

    Hydrology has played an important role in the birth of science. Yet practical hydrological knowledge, related to human needs for water storage, transfer and management, existed before the development of natural philosophy and science. In contemporary times, hydrology has had strong links with engineering as its development has been related to the needs of the design and management of water infrastructures. In the 1980s these links were questioned and it was suggested that separating hydrology from engineering would be beneficial for both. It is argued that, thereafter, hydrology, instead of becoming an autonomous science, developed new dependencies, particularly on politically driven agendas. This change of direction in effect demoted the role of hydrology, for example in studying hypothetical or projected climate-related threats. Revisiting past experiences suggests that re-establishing the relationship of hydrology with engineering could be beneficial. The study of change and the implied uncertainty and risk could constitute a field of mutual integration of hydrology and engineering. Engineering experience may help hydrology to appreciate that change is essential for progress and evolution, rather than only having adverse impacts. While the uncertainty and risk cannot be eliminated they can be dealt with in a quantitative and rigorous manner.

    Related works:

    • [156] Predecessor talk

    Additional material:

    See also: http://dx.doi.org/10.2166/nh.2013.092

    Other works that reference this work (this list might be obsolete):

    1. Littlewood, I. G., and C.-Y. Xu, Editorial: New category of invited papers, Hydrology Research, 45 (1), p. 1, 2014.
    2. François, B., M. Borga,, S. Anquetin, J.D. Creutin, K. Engeland, A.C. Favre, B. Hingray, M.H. Ramos, D. Raynaud, B. Renard, E. Sauquet, J. F. Sauterleute, J. P. Vidal and G. Warland, Integrating hydropower and intermittent climate-related renewable energies: A call for hydrology, Hydrological Processes, 28 (21), 5465-5468, 2014.
    3. Yao, Y., S. Zhao, Y. Zhang, K. Jia and M. Liu, Spatial and decadal variations in potential evapotranspiration of China based on reanalysis datasets during 1982–2010, Atmosphere, 5(4), 737-754, 2014.
    4. Cudennec, C., and A. De Lavenne, Editorial: Hydrogeomorphology - A long-term scientific interface, Hydrology Research, 46 (2), 175-179, 2015.
    5. Vogel, R.M., U. Lall, X. Cai, B. Rajagopalan, P.K. Weiskel, R.P. Hooper and N.C. Matalas, Hydrology: The interdisciplinary science of water, Water Resources Research, 51 (6), 4409-4430, 2015.

  1. G. Tsekouras, and D. Koutsoyiannis, Stochastic analysis and simulation of hydrometeorological processes associated with wind and solar energy, Renewable Energy, 63, 624–633, doi:10.1016/j.renene.2013.10.018, 2014.

    The current model for energy production, based on the intense use of fossil fuels, is both unsustainable and environmentally harmful and consequently, a shift is needed in the direction of integrating the renewable energy sources into the energy balance. However, these energy sources are unpredictable and uncontrollable as they strongly depend on time varying and uncertain hydrometeorological variables such as wind speed, sunshine duration and solar radiation. To study the design and management of renewable energy systems we investigate both the properties of marginal distributions and the dependence properties of these natural processes, including possible long-term persistence by estimating and analyzing the Hurst coefficient. To this aim we use time series of wind speed and sunshine duration retrieved from European databases of daily records. We also study a stochastic simulation framework for both wind and solar systems using the software system Castalia, which performs multivariate and multi-time-scale stochastic simulation, in order to conduct simultaneous generation of synthetic time series of wind speed and sunshine duration, on yearly, monthly and daily scale.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.renene.2013.10.018

    Other works that reference this work (this list might be obsolete):

    1. Varotsos, C. A., and M. N. Efstathiou, Symmetric scaling properties in global surface air temperature anomalies, Theoretical and Applied Climatology, 10.1007/s00704-014-1274-0, 2014.
    2. Abdelaziz, A. Y., Y. G. Hegazy, W. El-Khattam and M.M. Othman, Optimal allocation of stochastically dependent renewable energy based distributed generators in unbalanced distribution networks, Electric Power Systems Research, 119, 34-44, 2015.
    3. #Fortuna, L., S. Nunnari and A. Gallo, A typical day based approach to detrend solar radiation time series, MAED '14 Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data, 25-30, ACM New York, NY, USA, 2014.
    4. Othman, M.M., A.Y. Abdelaziz, Y. G. Hegazi and W. El-Khattam, Approach for modelling stochastically dependent renewable energy-based generators using diagonal band copula, IET Renewable Power Generation, 9 (7), 809-820, 10.1049/iet-rpg.2014.0205, 2015.
    5. Bardsley, E., A finite mixture approach to univariate data simulation with moment matching, Environmental Modelling & Software, 90, 27-33, doi:10.1016/j.envsoft.2016.11.019, 2017.

  1. H. Tyralis, and D. Koutsoyiannis, A Bayesian statistical model for deriving the predictive distribution of hydroclimatic variables, Climate Dynamics, 42 (11-12), 2867–2883, doi:10.1007/s00382-013-1804-y, 2014.

    Recent publications have provided evidence that hydrological processes exhibit a scaling behaviour, also known as the Hurst phenomenon. An appropriate way to model this behaviour is to use the Hurst-Kolmogorov stochastic process. The Hurst-Kolmogorov process entails high autocorrelations even for large lags, as well as high variability even at climatic scales. A problem that, thus, arises is how to incorporate the observed past hydroclimatic data in deriving the predictive distribution of hydroclimatic processes at climatic time scales. Here with the use of Bayesian techniques we create a framework to solve the aforementioned problem. We assume that there is no prior information for the parameters of the process and use a non-informative prior distribution. We apply this method with real-world data to derive the posterior distribution of the parameters and the posterior predictive distribution of various 30-year moving average climatic variables. The marginal distributions we examine are the normal and the truncated normal (for nonnegative variables). We also compare the results with two alternative models, one that assumes independence in time and one with Markovian dependence, and the results are dramatically different. The conclusion is that this framework is appropriate for the prediction of future hydroclimatic variables conditional on the observations.

    Additional material:

    See also: http://dx.doi.org/10.1007/s00382-013-1804-y

  1. A. Efstratiadis, A. Tegos, A. Varveris, and D. Koutsoyiannis, Assessment of environmental flows under limited data availability – Case study of Acheloos River, Greece, Hydrological Sciences Journal, 59 (3-4), 731–750, doi:10.1080/02626667.2013.804625, 2014.

    The lower course of Acheloos River is an important hydrosystem of Greece, heavily modified by a cascade of four hydropower dams, which is now being extended by two more dams in the upper course. The design of the dams and hydropower facilities that are in operation has not considered any environmental criteria. However, in the last fifty years, numerous methodologies have been proposed to assess the negative impacts of such projects to both the abiotic and biotic environment, and to provide decision support towards establishing appropriate constraints on their operation, typically in terms of minimum flow requirements. In this study, seeking for a more environmental-friendly operation of the hydrosystem, we investigate the outflow policy from the most downstream dam, examining alternative environmental flow approaches. Accounting for data limitations, we recommend the Basic Flow Method, which is parsimonious and suitable for Mediterranean rivers, whose flows exhibit strong variability across seasons. We also show that the wetted perimeter – discharge method, which is an elementary hydraulic approach, provides consistent results, even without using any flow data. Finally, we examine the adaptation of the proposed flow policy (including artificial flooding) to the real-time hydropower generation schedule, and the management of the resulting conflicts.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2013.804625

    Other works that reference this work (this list might be obsolete):

    1. Acreman, M. C., I. C. Overton, J. King, P. Wood, I. G. Cowx, M. J. Dunbar, E. Kendy, and W. Young, The changing role of ecohydrological science in guiding environmental flows, Hydrological Sciences Journal, 59(3–4), 1–18, 2014.
    2. #Egüen, M., M. J. Polo, Z. Gulliver, E. Contreras, C. Aguilar, and M. A. Losada, Flood risk trends in coastal watersheds in South Spain: direct and indirect impact of river regulation, Changes in Flood Risk and Perception in Catchments and Cities, Proc. IAHS, 370, 51-56, doi:10.5194/piahs-370-51-2015, 2015.
    3. Aguilar, C., and M. J. Polo, Assessing minimum environmental flows in nonpermanent rivers: The choice of thresholds, Environmental Modelling and Software, 79, 120-134, doi:10.1016/j.envsoft.2016.02.003, 2016.
    4. Nerantzaki, S. D., G. V. Giannakis, N. P. Nikolaidis, I. Zacharias, G. P. Karatzas, and I. A. Sibetheros, Assessing the impact of climate change on sediment loads in a large Mediterranean watershed, Soil Science, 181(7), 306-314, 2016.
    5. Poncelet, C., V. Andréassian, L. Oudin, and C. Perrin, The Quantile Solidarity approach for the parsimonious regionalization of flow duration curves, Hydrological Sciences Journal, doi:10.1080/02626667.2017.1335399, 2017.

  1. F. Lombardo, E. Volpi, D. Koutsoyiannis, and S.M. Papalexiou, Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology, Hydrology and Earth System Sciences, 18, 243–255, doi:10.5194/hess-18-243-2014, 2014.

    The need of understanding and modelling the space–time variability of natural processes in hydrological sciences produced a large body of literature over the last thirty years. In this context, a multifractal framework provides parsimonious models which can be applied to a widescale range of hydrological processes, and are based on the empirical detection of some patterns in observational data, i.e. a scale invariant mechanism repeating scale after scale. Hence, multifractal analyses heavily rely on available data series and their statistical processing. In such analyses, high order moments are often estimated and used in model identification and fitting as if they were reliable. This paper warns practitioners against the blind use in geophysical time series analyses of classical statistics, which is based upon independent samples typically following distributions of exponential type. Indeed, the study of natural processes reveals scaling behaviours in state (departure from exponential distribution tails) and in time (departure from independence), thus implying dramatic increase of bias and uncertainty in statistical estimation. Surprisingly, all these differences are commonly unaccounted for in most multifractal analyses of hydrological processes, which may result in inappropriate modelling, wrong inferences and false claims about the properties of the processes studied. Using theoretical reasoning and Monte Carlo simulations, we find that the reliability of multifractal methods that use high order moments (> 3) is questionable. In particular, we suggest that, because of estimation problems, the use of moments of order higher than two should be avoided, either in justifying or fitting models. Nonetheless, in most problems the first two moments provide enough information for the most important characteristics of the distribution.

    Remarks:

    Replies to discussions can also be found in:

    http://dx.doi.org/10.13140/RG.2.1.3505.4325

    http://dx.doi.org/10.13140/RG.2.1.2391.3207

    Full text: http://www.itia.ntua.gr/en/getfile/1343/1/documents/hess-18-243-2014.pdf (731 KB)

    Additional material:

    See also: http://dx.doi.org/10.5194/hess-18-243-2014

    Other works that reference this work (this list might be obsolete):

    1. Cheng, Q., Generalized binomial multiplicative cascade processes and asymmetrical multifractal distributions, Nonlin. Processes Geophys., 21, 477-487, 10.5194/npg-21-477-2014, 2014.
    2. Verrier, S., M. Crépon and S. Thiria, Scaling and stochastic cascade properties of NEMO oceanic simulations and their potential value for GCM evaluation and downscaling, Journal of Geophysical Research: Oceans, 10.1002/2014JC009811, 2014.
    3. Sassi, M.G., H. Leijnse and R. Uijlenhoet, Sensitivity of power functions to aggregation: Bias and uncertainty in radar rainfall retrieval, Water Resources Research, 50 (10), 8050-8065. 2014.
    4. Ariza-Villaverde, A.B., F.J. Jiménez-Hornero and E. Gutiérrez de Ravé, Influence of DEM resolution on drainage network extraction: A multifractal analysis, Geomorphology, 241, 243-254, 2015.
    5. Adirosi, E., L. Baldini, L. Lombardo, F. Russo, F. Napolitano, E. Volpi and A. Tokay, Comparison of different fittings of drop spectra for rainfall retrievals, Advances in Water Resources, 83, 55-67, 2015.
    6. Poveda, G., and H.D. Salas, Statistical scaling, Shannon entropy, and generalized space-time q-entropy of rainfall fields in tropical South America, Chaos, 25 (7), art. no. 075409, 10.1063/1.4922595, 2015.

  1. M. Rianna, A. Efstratiadis, F. Russo, F. Napolitano, and D. Koutsoyiannis, A stochastic index method for calculating annual flow duration curves in intermittent rivers, Irrigation and Drainage, 62 (S2), 41–49, doi:10.1002/ird.1803, 2013.

    Flow duration curves are useful tools to estimate available surface water resources, at the basin scale. These represent the percentage of time during which discharge values are exceeded, irrespective of their temporal sequence. Annual flow duration curves are useful tools for evaluating all flow quantiles of a river and their confidence intervals, by removing the effects of variability from year to year. However, these tools fail to represent the hydrological regime of ephemeral rivers, since they cannot account for zero flows. In this work we propose a technique for calculating annual flow duration curves and their standard deviation in the case of intermittent rivers. In particular, we propose a generalization of the stochastic index method, in which we use the concept of total probability and order statistics. The method is proposed to determine the conditional distribution of positive flows, for given probability dry, and is implemented on three catchments in Italy and Greece, with low (<5%) and high (>40%) frequency of zero flows, respectively.

    See also: http://dx.doi.org/10.1002/ird.1803

    Other works that reference this work (this list might be obsolete):

    1. Ubertini, L., and F. R. Miralles-Wilhelm, New frontiers of hydrology: Soil, water, and vegetation monitoring and modelling, Irrigation and Drainage, 62(S2), iii-iv, 2013.
    2. Müller, M. F., D. N. Dralle, and S. E. Thompson, Analytical model for flow duration curves in seasonally dry climates, Water Resources Research, 50(7), 5510-5531, 2014.
    3. Atieh, M., B. Gharabaghi, and R. Rudra, Entropy-based neural networks model for flow duration curves at ungauged sites, Journal of Hydrology, 529(3), 1007–1020, doi:10.1016/j.jhydrol.2015.08.068, 2015
    4. Varouchakis, E. A., K. Spanoudaki, D. Hristopulos, G. P. Karatzas, and G. A. Corzo Perez, Stochastic modeling of aquifer level temporal fluctuations based on the conceptual basis of the soil-water balance equation, Soil Science, 181(6), 224–231, doi:10.1097/SS.0000000000000157, 2016.
    5. #Rianna, M., F. Lombardo, B. Boccanera, and M. Giglioni, On the evaluation of FDC by the use of spot measurements, AIP Conference Proceedings, 1738, 430005, Rhodes, 2016.
    6. Ridolfi, E., M. Rianna, G. Trani, L. Alfonso, G. Di Baldassarre, F. Napolitano, and F. Russo, A new methodology to define homogeneous regions through an entropy based clustering method, Advances in Water Resources, doi:10.1016/j.advwatres.2016.07.007, 2016.

  1. D. Koutsoyiannis, Physics of uncertainty, the Gibbs paradox and indistinguishable particles, Studies in History and Philosophy of Modern Physics, 44, 480–489, doi:10.1016/j.shpsb.2013.08.007, 2013.

    The idea that, in the microscopic world, particles are indistinguishable, interchangeable and without identity has been central in quantum physics. The same idea has been enrolled in statistical thermodynamics even in a classical framework of analysis to make theoretical results agree with experience. In thermodynamics of gases, this hypothesis is associated with several problems, logical and technical. For this case, an alternative theoretical framework is provided, replacing the indistinguishability hypothesis with standard probability and statistics. In this framework, entropy is a probabilistic notion applied to thermodynamic systems and is not extensive per se. Rather, the extensive entropy used in thermodynamics is the difference of two probabilistic entropies. According to this simple view, no paradoxical behaviours, such as the Gibbs paradox, appear. Such a simple probabilistic view within a classical physical framework, in which entropy is none other than uncertainty applicable irrespective of particle size, enables generalization of mathematical descriptions of processes across any type and scale of systems ruled by uncertainty.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.shpsb.2013.08.007

    Works that cite this document: View on Google Scholar or ResearchGate

  1. E. Kountouri, N. Petrochilos, N. Liaros, V. Oikonomou, D. Koutsoyiannis, N. Mamassis, N. Zarkadoulas, A. Vött, H. Hadler, P. Henning, and T. Willershäuser, The Mycenaean drainage works of north Kopais, Greece: a new project incorporating surface surveys, geophysical research and excavation, Water Science and Technology: Water Supply, 13 (3), 710–718, doi:10.2166/ws.2013.110, 2013.

    The attempt to drain the Kopais Lake was one of the most impressive and ambitious technical works of prehistoric times in Greece, inspiring myths and traditions referring to its construction and operation. The impressive remnants of the Mycenaean hydraulic works represent the most important land reclamation effort during prehistoric Greek antiquity, thus attracting the attention of the international scientific community. Nevertheless, in spite of the minor or extended contemporary surveys, the picture of the prehistoric drainage works in Kopais has remained ambiguous. Concerning the function of these works and their precise date within the Bronze Age, the proposed theories were based solely on indications from surface survey; data stemming from archaeological or geophysical research methods have been largely neglected. A new interdisciplinary project focusing on the interpretation of the Mycenaean drainage works of Kopais has been established and paper presents the results of thefirst study season.

    Additional material:

    See also: http://dx.doi.org/10.2166/ws.2013.110

    Other works that reference this work (this list might be obsolete):

    1. Voudouris, K. S., Y. Christodoulakos, F. Steiakakis and A. N. Angelakis, Hydrogeological characteristics of Hellenic aqueducts-like Qanats, Water, 5, 1326-1345, 2013.

  1. A. Montanari, G. Young, H. H. G. Savenije, D. Hughes, T. Wagener, L. L. Ren, D. Koutsoyiannis, C. Cudennec, E. Toth, S. Grimaldi, G. Blöschl, M. Sivapalan, K. Beven, H. Gupta, M. Hipsey, B. Schaefli, B. Arheimer, E. Boegh, S. J. Schymanski, G. Di Baldassarre, B. Yu, P. Hubert, Y. Huang, A. Schumann, D. Post, V. Srinivasan, C. Harman, S. Thompson, M. Rogger, A. Viglione, H. McMillan, G. Characklis, Z. Pang, and V. Belyaev, “Panta Rhei – Everything Flows”, Change in Hydrology and Society – The IAHS Scientific Decade 2013-2022, Hydrological Sciences Journal, 58 (6), 1256–1275, doi:10.1080/02626667.2013.809088, 2013.

    The new scientific decade 2013–2022 of IAHS, entitled “Panta Rhei – Everything Flows”, is dedicated to research activities on change in hydrology and society. The purpose of Panta Rhei is to reach an improved interpretation of the processes governing the water cycle by focusing on their changing dynamics in connection with rapidly changing human systems. The practical aim is to improve our capability to make predictions of water resources dynamics to support sustainable societal development in a changing environment. The concept implies a focus on hydrological systems as a changing interface between environment and society, whose dynamics are essential to determine water security, human safety and development, and to set priorities for environmental management. The Scientific Decade 2013–2022 will devise innovative theoretical blueprints for the representation of processes including change and will focus on advanced monitoring and data analysis techniques. Interdisciplinarity will be sought by increased efforts to bridge with the socio–economic sciences and geosciences in general. This paper presents a summary of the Science Plan of Panta Rhei, its targets, research questions and expected outcomes.

    Full text: http://www.itia.ntua.gr/en/getfile/1352/1/documents/2013HSJ_PantaRhei.pdf (803 KB)

    See also: http://dx.doi.org/10.1080/02626667.2013.809088

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Hrachowitz, M., H.H.G. Savenije, G. Blöschl, J.J. McDonnell, M. Sivapalan, J.W. Pomeroy, B. Arheimer, T. Blume, M.P. Clark, U. Ehret, F. Fenicia, J.E. Freer, A. Gelfan, H.V. Gupta, D.A. Hughes, R.W. Hut, A. Montanari, S. Pande, D. Tetzlaff, P.A. Troch, S. Uhlenbrook, T. Wagener, H.C. Winsemius, R.A. Woods, E. Zehe, and C. Cudennec, A decade of Predictions in Ungauged Basins (PUB) — a review, Hydrological Sciences Journal, 58(6), 2013.
    2. Thompson, S. E., M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari and G. and Blöschl, Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013-5039, 2013.
    3. Di Baldassarre, G., M. Kooy, J. S. Kemerink and L. Brandimarte, Towards understanding the dynamic behaviour of floodplains as human-water systems, Hydrol. Earth Syst. Sci., 17, 3235-3244, 10.5194/hess-17-3235-2013, 2013.
    4. Di Baldassarre, G., A. Viglione, G. Carr, L. Kuil, J. L. Salinas and G. Blöschl, Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295-3303, 10.5194/hess-17-3295-2013, 2013.
    5. Hughes, D. A., A review of 40 years of hydrological science and practice in Southern Africa using the Pitman rainfall-runoff model, Journal of Hydrology, 501, 111-124, 2013.
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  1. D. Koutsoyiannis, Hydrology and Change, Hydrological Sciences Journal, 58 (6), 1177–1197, doi:10.1080/02626667.2013.804626, 2013.

    Since “panta rhei” was pronounced by Heraclitus, hydrology and the objects it studies, such as rivers and lakes, offer grounds to observe and understand change and flux. Change occurs on all time scales, from minute to geological, but our limited senses and life span, as well as the short time window of instrumental observations, restrict our perception to the most apparent daily to yearly variations. As a result, our typical modelling practices assume that natural changes are just a short-term “noise” superimposed to the daily and annual cycles in a scene that is static and invariant in the long run. According to this perception, only an exceptional and extraordinary forcing can produce a long-term change. The hydrologist H. E. Hurst, studying the long flow records of the Nile and other geophysical time series, was the first to observe a natural behaviour, named after him, related to multi-scale change, as well as its implications in engineering designs. Essentially, this behaviour manifests that long-term changes are much more frequent and intense than commonly perceived and, simultaneously, that the future states are much more uncertain and unpredictable on long time horizons than implied by standard approaches. Surprisingly, however, the implications of multi-scale change have not been assimilated in geophysical sciences. A change of perspective is thus needed, in which change and uncertainty are essential parts.

    Related works:

    • [319] Predecessor presentation (IUGG plenary lecture)

    Full text: http://www.itia.ntua.gr/en/getfile/1351/1/documents/2013HSJ_HydrologyAndChange_2.pdf (1977 KB)

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2013.804626

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

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    7. Thirel, G., V. Andréassian, C. Perrin, J.-N. Audouy, L. Berthet, P. Edwards, N. Folton, C. Furusho, A. Kuentz, J. Lerat, G. Lindström, E. Martin, T. Mathevet, R. Merz, J. Parajka, D. Ruelland, and J. Vaze, Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments, Hydrological Sciences Journal, 60(7-8), 1184-1199, doi:10.1080/02626667.2014.9672482014, 2015.
    8. Cudennec, C., and A. De Lavenne, Editorial: Hydrogeomorphology - A long-term scientific interface, Hydrology Research, 46 (2), 175-179, 2015.
    9. Kundzewicz, Z.W. Farewell, HSJ!—address from the retiring editor, Hydrological Sciences Journal, 10.1080/02626667.2015.1058627, 2015.
    10. Bayazit, M., Nonstationarity of hydrological records and recent trends in trend analysis: a state-of-the-art review, Environmental Processes, 2 (3), 527-542, 10.1007/s40710-015-0081-7, 2015.
    11. Di Baldassarre, G., L. Brandimarte, and K. Beven, The seventh facet of uncertainty: wrong assumptions, unknowns and surprises in the dynamics of human-water systems, Hydrological Sciences Journal, doi:10.1080/02626667.2015.1091460, 2015.
    12. McMillan, H., A. Montanari, C. Cudennec, H. Savenjie, H. Kreibich, T. Krüger, J. Liu, A. Meija, A. van Loon, H. Aksoy, G. Di Baldassarre, Y. Huang, D. Mazvimavi, M. Rogger, S. Bellie, T. Bibikova, A. Castellarin, Y. Chen, D. Finger, A. Gelfan, D. Hannah, A. Hoekstra, H. Li, S. Maskey, T. Mathevet, A. Mijic, A. Pedrozo Acuña, M. J. Polo, V. Rosales, P. Smith, A. Viglione, V. Srinivasan, E. Toth, R. van Nooyen, and J. Xia, Panta Rhei 2013-2015: Global perspectives on hydrology, society and change, Hydrological Sciences Journal, doi:10.1080/02626667.2016.1159308, 2016.
    13. Biao, I. E., A. E. Alamou, and A. Afouda, Improving rainfall–runoff modelling through the control of uncertainties under increasing climate variability in the Ouémé River basin (Benin, West Africa), Hydrological Sciences Journal, doi:10.1080/02626667.2016.1164315, 2016.

  1. S.M. Papalexiou, and D. Koutsoyiannis, Battle of extreme value distributions: A global survey on extreme daily rainfall, Water Resources Research, 49 (1), 187–201, doi:10.1029/2012WR012557, 2013.

    Theoretically, if the distribution of daily rainfall is known or justifiably assumed, then one could argue, based on extreme value theory, that the distribution of the annual maxima of daily rainfall would resemble one of the three limiting types: (a) type I, known as Gumbel, type II, known as Fréchet and, type III, known as reversed Weibull. Yet, the parent distribution usually is not known and often only records of annual maxima are available. Thus, the question that naturally arises is which one of the three types better describes the annual maxima of daily rainfall. The question is of great importance as the naïve adoption of a particular type may lead to serious underestimation or overestimation of the return period assigned to specific rainfall amounts. To answer this question, we analyze the annual maximum daily rainfall of 15 137 records from all over the world, with lengths varying from 40 to 163 years. We fit the Generalized Extreme Value (GEV) distribution, which comprises the three limiting types as special cases for specific values of its shape parameter, and analyze the fitting results focusing on the behavior of the shape parameter. The analysis reveals that: (a) the record length strongly affects the estimate of the GEV shape parameter and long records are needed for reliable estimates, (b) when the effect of the record length is corrected the shape parameter varies in a narrow range, (c) the geographical location of the globe may affect the value of the shape parameter, and (d) the winner of this battle is the Fréchet law.

    Additional material:

    See also: http://dx.doi.org/10.1029/2012WR012557

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Cleverly, J., N. Boulain, R. Villalobos-Vega, N. Grant, R. Faux, C. Wood, P. G. Cook, Q. Yu, A. Leigh and D. Eamus, Dynamics of component carbon fluxes in a semi-arid Acacia woodland, central Australia, Journal of Geophysical Research: Biogeosciences, 10.1002/jgrg.20101, 2013.
    2. Dyrrdal, A. V., A. Lenkoski, T. L. Thorarinsdottir and F. Stordal, Bayesian hierarchical modeling of extreme hourly precipitation in Norway, Environmetrics , 10.1002/env.2301, 2014.
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    4. Serinaldi, F., and C. G. Kilsby, Rainfall extremes: Toward reconciliation after the battle of distributions, Water Resources Research, 50 (1), 336-352, 2014.
    5. Roth, M., T. A. Buishand, G. Jongbloed, A. M. G. Klein Tank and J. H. van Zanten, Projections of precipitation extremes based on a regional, non-stationary peaks-over-threshold approach: A case study for the Netherlands and north-western Germany, Weather and Climate Extremes, 10.1016/j.wace.2014.01.001, 2014.
    6. Kochanek, K., B. Renard, P. Arnaud, Y. Aubert, M. Lang, T. Cipriani and E. Sauquet, A data-based comparison of flood frequency analysis methods used in France, Nat. Hazards Earth Syst. Sci., 14, 295-308, 2014.
    7. Bolívar-Cimé, A. M., E. Díaz-Francés and J. Ortega, Optimality of profile likelihood intervals for quantiles of extreme value distributions: applications to environmental disasters, Hydrological Sciences Journal, 10.1080/02626667.2014.897405, 2014.
    8. Jagtap, R. S., Effect of record length and recent past events on extreme precipitation analysis, Current Science, 106 (5), 698-707, 2014.
    9. Serinaldi, F., and C. G. Kilsby, Simulating daily rainfall fields over large areas for collective risk estimation, Journal of Hydrology, 10.1016/j.jhydrol.2014.02.043, 2014.
    10. Naveau, P., A. Toreti, I. Smith and E. Xoplaki, A fast nonparametric spatio‐temporal regression scheme for Generalized Pareto distributed heavy precipitation, Water Resources Research, 10.1002/2014WR015431, 2014.
    11. Panthou, G., T. Vischel, T. Lebel, G.Quantin and G. Molinié, Characterizing the space–time structure of rainfall in the Sahel with a view to estimating IDAF curves, Hydrol. Earth Syst. Sci. ,18 (12) 5093-5107, DOI: 10.5194/hess-18-5093-2014, 2014.
    12. Dyrrdal, A. V., T. Skaugen, F. Stordal and E. J. Førland, Estimating extreme areal precipitation in Norway from a gridded dataset, Hydrological Sciences Journal, 10.1080/02626667.2014.947289, 2014.
    13. Serinaldi, F., A. Bárdossy and C. G. Kilsby, Upper tail dependence in rainfall extremes: would we know it if we saw it?, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-014-0946-8, 2014.
    14. Cheng, L., A. AghaKouchak, E. Gilleland and R. W. Katz, Non-stationary extreme value analysis in a changing climate, Climatic Change, 10.1007/s10584-014-1254-5, 2014.
    15. Caloiero, T., A.A. Pasqua and O. Petrucci, Damaging hydrogeological events: A procedure for the assessment of severity levels and an application to Calabria (Southern Italy), Water, 6 (12), 3652-3670, 2014.
    16. Serinaldi, F., and C.G. Kilsby, Stationarity is undead: Uncertainty dominates the distribution of extremes, Advances in Water Resources, 77, 17-36, 2015.
    17. Cannon, A.J., An intercomparison of regional and at-site rainfall extreme value analyses in southern British Columbia, Canada, Canadian Journal of Civil Engineering, 42 (2), 107-119, 2015.
    18. Smith, A., C. Sampson and P. Bates, Regional flood frequency analysis at the global scale, Water Resources Research, 51 (1), 539-553, 2015.
    19. Marani, M., and M. Ignaccolo, A metastatistical approach to rainfall extremes, Advances in Water Resources, 79, 121-126, 2015.
    20. Basso, S., M. Schirmer and G. Botter, On the emergence of heavy-tailed streamflow distributions, Advances in Water Resources, 82, 98-105, 2015.
    21. Cavanaugh, N.R., A. Gershunov, A.K. Panorska and T.J. Kozubowski, The probability distribution of intense daily precipitation, Geophysical Research Letters, 42 (5), 1560-1567, 2015.
    22. Cheng, L., T.J. Phillips and A. AghaKouchak, Non-stationary return levels of CMIP5 multi-model temperature extremes, Climate Dynamics, 44 (11-12), 2947-2963, 2015.
    23. Alam, M.S., and A. Elshorbagy, Quantification of the climate change-induced variations in Intensity–Duration–Frequency curves in the Canadian Prairies, Journal of Hydrology, 527, 990-1005, 2015.
    24. Ganora, D. and F. Laio, Hydrological applications of the Burr distribution: practical method for parameter estimation, J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001203, 04015024, 2015.
    25. Boers, N., B. Bookhagen, N. Marwan and J. Kurths, Spatiotemporal characteristics and synchronization of extreme rainfall in South America with focus on the Andes Mountain range, Climate Dynamics, 10.1007/s00382-015-2601-6, 2015.
    26. Tenório da Costa, K., and W. dos Santos Fernandes, Evaluation of the type of probability distribution of annual maximum daily flows in Brazil [Avaliação do tipo de distribuição de probabilidades das vazões máximas diárias anuais no Brasil], Revista Brasileira de Recursos Hídricos, 20 (2), 442 – 451, 2015.

  1. Y. Markonis, and D. Koutsoyiannis, Climatic variability over time scales spanning nine orders of magnitude: Connecting Milankovitch cycles with Hurst–Kolmogorov dynamics, Surveys in Geophysics, 34 (2), 181–207, doi:10.1007/s10712-012-9208-9, 2013.

    We overview studies of the natural variability of past climate, as seen from available proxy information, and its attribution to deterministic or stochastic controls. Furthermore, we characterize this variability over the widest possible range of scales that the available information allows, and we try to connect the deterministic Milankovitch cycles with the Hurst–Kolmogorov (HK) stochastic dynamics. To this aim, we analyse two instrumental series of global temperature and eight proxy series with varying lengths from 2 thousand to 500 million years. In our analysis, we use a simple tool, the climacogram, which is the logarithmic plot of standard deviation versus time scale, and its slope can be used to identify the presence of HK dynamics. By superimposing the climacograms of the different series, we obtain an impressive overview of the variability for time scales spanning almost nine orders of magnitude—from 1 month to 50 million years. An overall climacogram slope of −0.08 supports the presence of HK dynamics with Hurst coefficient of at least 0.92. The orbital forcing (Milankovitch cycles) is also evident in the combined climacogram at time scales between 10 and 100 thousand years. While orbital forcing favours predictability at the scales it acts, the overview of climate variability at all scales suggests a big picture of irregular change and uncertainty of Earth’s climate.

    Remarks:

    Blog posts and discussions can be seen in Watts Up With That? (reproduced in I4U News), Climate Science: Roger Pielke Sr., Bishop Hill blog (reproduced in I4U News-2), The Resilient Earth (reproduced in The Global Warming Policy Foundation), Climate ExChange, Science Alerts, Science & Environmental Policy Project: Newsletter (reproduced in the Third Millennium Times), Archaeopteryx.

    Errata: See some minor corrections in the related pdf file linked above. URL of the Corrigendum: http://dx.doi.org/10.1007/s10712-014-9278-y

    Additional material:

    See also: http://dx.doi.org/10.1007/s10712-012-9208-9

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Varotsos, C. A., M. N. Efstathiou and A. P. Cracknell, On the scaling effect in global surface air temperature anomalies, Atmos. Chem. Phys., 13, 5243-5253, 2013.
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    3. Fleming, S. W., A non-uniqueness problem in the identification of power-law spectral scaling for hydroclimatic time series, Hydrological Sciences Journal, 59 (1), 73–84, 2014.
    4. Glatzle, A., Questioning key conclusions of FAO publications ‘Livestock’s Long Shadow’ (2006) appearing again in ‘Tackling Climate Change Through Livestock’ (2013), Pastoralism: Research, Policy and Practice, 10.1186/2041-7136-4-1, 2014.
    5. Hall, J., B. Arheimer, M. Borga, R. Brázdil, P. Claps, A. Kiss, T. R. Kjeldsen, J. Kriaučiūnienė, Z.W. Kundzewicz, M. Lang, M. C. Llasat, N. Macdonald, N. McIntyre, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, C. Neuhold, J. Parajka, R. A. P. Perdigão, L. Plavcová, M. Rogger, J. L. Salinas, E. Sauquet, C. Schär, J. Szolgay, A. Viglione and G. Blöschl, Understanding flood regime changes in Europe: a state-of-the-art assessment, Hydrol. Earth Syst. Sci., 18, 2735-2772, 10.5194/hess-18-2735-2014, 2014.
    6. Soon, W., V. M. Velasco Herrera, K. Selvaraj, R. Traversi, I. Usoskin, C.-T. A. Chen, J.-Y. Lou, S.-J. Kao, R. M. Carter, V. Pipin, M. Severi, S. Becagli, A review of Holocene solar-linked climatic variation on centennial to millennial timescales: Physical processes, interpretative frameworks and a new multiple cross-wavelet transform algorithm, Earth-Science Reviews, 10.1016/j.earscirev.2014.03.003, 2014.
    7. Varotsos, C. A., C. L. E. Franzke, M. N. Efstathiou and A. G. Degermendzhi, Evidence for two abrupt warming events of SST in the last century, Theoretical and Applied Climatology, 116 (1-2), 51-60, 2014.
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    11. Lovejoy, S., A voyage through scales, a missing quadrillion and why the climate is not what you expect, Climate Dynamics 10.1007/s00382-014-2324-0, 2014.
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    13. Fan, L., H. Wang, W. Lai and C. Wang, Administration of water resources in Beijing: Problems and countermeasures, Water Policy, 17 (4), 563-580, 2015.

  1. H. Tyralis, D. Koutsoyiannis, and S. Kozanis, An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters, Computational Statistics, 28 (4), 1501–1527, doi:10.1007/s00180-012-0364-7, 2013.

    We derive a new algorithm for calculating an exact confidence interval for a parameter of location or scale family, based on a two-sided hypothesis test on the parameter of interest, using some pivotal quantities. We use this algorithm to calculate approximate confidence intervals for the parameter or a function of the parameter of one-parameter continuous distributions. After appropriate heuristic modifications of the algorithm we use it to obtain approximate confidence intervals for a parameter or a function of parameters for multi-parameter continuous distributions. The advantage of the algorithm is that it is general and gives a fast approximation of an exact confidence interval. Some asymptotic (analytical) results are shown which validate the use of the method under certain regularity conditions. In addition, numerical results of the method compare well with those obtained by other known methods of the literature on the exponential, the normal, the gamma and the Weibull distribution.

    Additional material:

    See also: http://dx.doi.org/10.1007/s00180-012-0364-7

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Campos, J. N.B., F. A. Souza Filho and H. V.C. Lima, Risks and uncertainties in reservoir yield in highly variable intermittent rivers: Case of the Castanhão Reservoir in semi-arid Brazil, Hydrological Sciences Journal, 59 (6), 1184-1195, 2014.

  1. S.M. Papalexiou, D. Koutsoyiannis, and C. Makropoulos, How extreme is extreme? An assessment of daily rainfall distribution tails, Hydrology and Earth System Sciences, 17, 851–862, doi:10.5194/hess-17-851-2013, 2013.

    The upper part of a probability distribution, usually known as the tail, governs both the magnitude and the frequency of extreme events. The tail behaviour of all probability distributions may be, loosely speaking, categorized in two families: heavy-tailed and light-tailed distributions, with the latter generating more “mild” and infrequent extremes compared to the former. This emphasizes how important for hydrological design is to assess correctly the tail behaviour. Traditionally, the wet-day daily rainfall has been described by light-tailed distributions like the Gamma, although heavier-tailed distributions have also been proposed and used, e.g. the Lognormal, the Pareto, the Kappa, and others. Here, we investigate the issue of tails for daily rainfall by comparing the up- per part of empirical distributions of thousands of records with four common theoretical tails: those of the Pareto, Lognormal, Weibull and Gamma distributions. Specifically, we use 15 029 daily rainfall records from around the world with record lengths from to 163 yr. The analysis shows that heavier-tailed distributions are in better agreement with the observed rainfall extremes than the more often used lighter tailed distributions, with clear implications on extreme event modelling and engineering design.

    Remarks:

    The initial version of the article and the discussion in Hydrology and Earth System Sciences Discussions (9, 5757–5778, 2012) can be seen at http://dx.doi.org/10.5194/hessd-9-5757-2012.

    Full text: http://www.itia.ntua.gr/en/getfile/1231/1/documents/hess-17-851-2013.pdf (3389 KB)

    Additional material:

    See also: http://dx.doi.org/10.5194/hess-17-851-2013

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Breinl, K., T. Turkington and M. Stowasser, Stochastic generation of multi-site daily precipitation for applications in risk management, Journal of Hydrology, 498, 23-35, 2013.
    2. #Adirosi, E., L. Baldini, F. Lombardo, F. Russo and F. Napolitano, Comparison of different fittings of experimental DSD, AIP Conference Proceedings, 1558, 1669-1672, 2013.
    3. Hitchens, N. M., H. E. Brooks and R. S. Schumacher, Spatial and temporal characteristics of heavy hourly rainfall in the United States, Mon. Wea. Rev, 141, 4564–4575, 2013.
    4. Panagoulia, D., and E. I. Vlahogianni, Non-linear dynamics and recurrence analysis of extreme precipitation for observed and general circulation model generated climates, Hydrological Processes, 28(4), 2281–2292, 2014.
    5. Serinaldi, F., and C. G. Kilsby, Simulating daily rainfall fields over large areas for collective risk estimation, Journal of Hydrology, 10.1016/j.jhydrol.2014.02.043, 2014.
    6. Serinaldi, F., and C. G. Kilsby, Rainfall extremes: Toward reconciliation after the battle of distributions, Water Resources Research, 50 (1), 336-352, 2014.
    7. Breinl, K., T. Turkington and M. Stowasser, Simulating daily precipitation and temperature: a weather generation framework for assessing hydrometeorological hazards, Meteorological Applications, 10.1002/met.1459, 2014.
    8. Alghazali, N. O. S., and D. A. H. Alawadi, Fitting statistical distributions of monthly rainfall for some Iraqi stations, Civil and Environmental Research, 6 (6), 40-46, 2014.
    9. Neykov, N. M., P. N. Neytchev and W. Zucchini, Stochastic daily precipitation model with a heavy-tailed component, Natural Hazards and Earth System Sciences, 14 (9), 2321-2335, 2014.
    10. Salinas, J. L., A. Castellarin, A. Viglione, S. Kohnová and T. R. Kjeldsen, Regional parent flood frequency distributions in Europe – Part 1: Is the GEV model suitable as a pan-European parent?, Hydrol. Earth Syst. Sci., 18, 4381-4389, 10.5194/hess-18-4381-2014, 2014.
    11. #Keighley, T., T. Longden, S. Mathew and S. Trück, Quantifying Catastrophic and Climate Impacted Hazards Based on Local Expert Opinions, FEEM Working Paper No. 093.2014, 2014.
    12. Serinaldi, F., and C.G. Kilsby, Stationarity is undead: Uncertainty dominates the distribution of extremes, Advances in Water Resources, 77, 17-36, 2015.
    13. Li, Z., Z. Li, W. Zhao and Y. Wang, Probability modeling of precipitation extremes over two river basins in northwest of China, Advances in Meteorology, art. no. 374127, 10.1155/2015/374127, 2015.
    14. Adirosi, E., L. Baldini, L. Lombardo, F. Russo, F. Napolitano, E. Volpi and A. Tokay, Comparison of different fittings of drop spectra for rainfall retrievals, Advances in Water Resources, 83, 55-67, 2015.
    15. Cavanaugh, N.R., A. Gershunov, A.K. Panorska and T.J. Kozubowski, The probability distribution of intense daily precipitation, Geophysical Research Letters, 42 (5), 1560-1567, 2015.
    16. Sherly, M., S. Karmakar, T. Chan and C. Rau, Design rainfall framework using multivariate parametric-nonparametric approach, J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001256, 04015049, 2015.
    17. Bellprat, O., F.C. Lott, C. Gulizia, H.R. Parker, L.A. Pampuch, I. Pinto, A. Ciavarella, P.A. Stott, Unusual past dry and wet rainy seasons over Southern Africa and South America from a climate perspective, Weather and Climate Extremes, 9, 36-46, 2015.

  1. A. Montanari, and D. Koutsoyiannis, A blueprint for process-based modeling of uncertain hydrological systems, Water Resources Research, 48, W09555, doi:10.1029/2011WR011412, 2012.

    We present a probability based theoretical scheme for building process-based models of uncertain hydrological systems, thereby unifying hydrological modeling and uncertainty assessment. Uncertainty for the model output is assessed by estimating the related probability distribution via simulation, thus shifting from one to many applications of the selected hydrological model. Each simulation is performed after stochastically perturbing input data, parameters and model output, this latter by adding random outcomes from the population of the model error, whose probability distribution is conditioned on input data and model parameters. Within this view randomness, and therefore uncertainty, is treated as an inherent property of hydrological systems. We discuss the related assumptions as well as the open research questions. The theoretical framework is illustrated by presenting real-world and synthetic applications. The relevant contribution of this study is related to proposing a statistically consistent simulation framework for uncertainty estimation which does not require model likelihood computation and simplification of the model structure. The results show that uncertainty is satisfactorily estimated although the impact of the assumptions could be significant in conditions of data scarcity.

    Additional material:

    See also: http://dx.doi.org/10.1029/2011WR011412

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Montanari, A., Hydrology of the Po River: looking for changing patterns in river discharge, Hydrol. Earth Syst. Sci., 16, 3739-3747, 2012.
    2. Tauro, F., G. Mocio, E. Rapiti, S. Grimaldi and M. Porfiri, Assessment of fluorescent particles for surface flow analysis, Sensors, 12, 15827-15840, 2012.
    3. Beven, K., So how much of your error is epistemic? Lessons from Japan and Italy, Hydrological Processes, 27 (11), 1677-168, 2013.
    4. Zambrano-Bigiarini, M., and R. Rojas, A model-independent Particle Swarm Optimisation software for model calibration, Environmental Modelling & Software, 43, 5-25, 2013.
    5. Weijs, S. V., N. van de Giesen and M.B. Parlange, HydroZIP: How hydrological knowledge can be used to improve compression of hydrological data, Entropy, 15, 1289-1310, 2013.
    6. Del Giudice, D., M. Honti, A. Scheidegger, C. Albert, P. Reichert and J. Rieckermann, Improving uncertainty estimation in urban hydrological modeling by statistically describing bias, Hydrol. Earth Syst. Sci., 17, 4209-4225, 2013.
    7. Hrachowitz, M., H.H.G. Savenije, G. Blöschl, J.J. McDonnell, M. Sivapalan, J.W. Pomeroy, B. Arheimer, T. Blume, M.P. Clark, U. Ehret, F. Fenicia, J.E. Freer, A. Gelfan, H.V. Gupta, D.A. Hughes, R.W. Hut, A. Montanari, S. Pande, D. Tetzlaff, P.A. Troch, S. Uhlenbrook, T. Wagener, H.C. Winsemius, R.A. Woods, E. Zehe, and C. Cudennec, A decade of Predictions in Ungauged Basins (PUB) — a review, Hydrological Sciences Journal, 58(6), 1198-1255, 2013.
    8. Thompson, S. E., M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari and G. and Blöschl, Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013-5039, 2013.
    9. Beven, K., and P. Young, A guide to good practice in modelling semantics for authors and referees, Water Resources Research, 10.1002/wrcr.20393, 2013.
    10. Beven, K., and A. Binley, GLUE: twenty years on, Hydrological Processes, 10.1002/hyp.10082, 2013.
    11. Sikorska, A. E., A. Scheidegger, K. Banasik and J. Rieckermann, Considering rating curve uncertainty in water level predictions, Hydrol. Earth Syst. Sci., 17, 4415-4427, 2013.
    12. Paschalis, A., P. Molnar, S. Fatichi and P. Burlando, A stochastic model for high resolution space‐time precipitation simulation, Water Resources Research, 49 (12), 8400-8417, 2013.
    13. Hall, J., B. Arheimer, M. Borga, R. Brázdil, P. Claps, A. Kiss, T. R. Kjeldsen, J. Kriaučiūnienė, Z.W. Kundzewicz, M. Lang, M. C. Llasat, N. Macdonald, N. McIntyre, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, C. Neuhold, J. Parajka, R. A. P. Perdigão, L. Plavcová, M. Rogger, J. L. Salinas, E. Sauquet, C. Schär, J. Szolgay, A. Viglione and G. Blöschl, Understanding flood regime changes in Europe: a state-of-the-art assessment, Hydrol. Earth Syst. Sci., 18, 2735-2772, 10.5194/hess-18-2735-2014, 2014.
    14. Mazzoleni, M., B. Bacchi, S. Barontini, G. Di Baldassarre, M. Pilotti and R. Ranzi, Flooding hazard mapping in floodplain areas affected by piping breaches in the Po River, Italy, J. Hydrol. Eng., 19 (4), 717-731, 2014.
    15. Gupta, H. V., C. Perrin, G. Blöschl, A. Montanari, R. Kumar, M. Clark and V. Andréassian, Large-sample hydrology: a need to balance depth with breadth, Hydrol. Earth Syst. Sci. , 18, 463-477, 2014.
    16. Evin, G., M. Thyer, D. Kavetski, D. McInerney and G. Kuczera, Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity, Water Resources Research, 10.1002/2013WR014185, 2014.
    17. Gupta, H. V., and G. S. Nearing, Debates—the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science, Water Resources Research, 50 (6), 5351-5359, 2014.
    18. Shahzad, K. M., and E. J. Plate, Flood forecasting for the Mekong with data‐based models, Water Resources Research, 10.1002/2013WR015072, 2014.
    19. Nearing, G., Comment on “A blueprint for process‐based modeling of uncertain hydrological systems” by Alberto Montanari and Demetris Koutsoyiannis, Water Resources Research, 50 (7), 1944-7973, 10.1002/2013WR014812, 2014.
    20. Peeters, L. J. M., G. M. Podger, T. Smith, T. Pickett, R. H. Bark and S. M. Cuddy, Robust global sensitivity analysis of a river management model to assess nonlinear and interaction effects, Hydrol. Earth Syst. Sci., 18, 3777-3785, 10.5194/hess-18-3777-2014, 2014.
    21. Kumar Mishra, B., and S. Herath, Assessment of future floods in the Bagmati River Basin of Nepal using bias-corrected daily GCM precipitation data, J. Hydrol. Eng. , 10.1061/(ASCE)HE.1943-5584.0001090, 2014.
    22. Shahzad, K.M., and E.J. Plate, Flood forecasting for river Mekong with data-based models, Water Resources Research, 50 (9), 7115-7133, 2014.
    23. Beven, K., and P. Smith, Concepts of information content and likelihood in parameter calibration for hydrological simulation models, Journal of Hydrologic Engineering, 20 (1), 10.1061/(ASCE)HE.1943-5584.0000991, art. no. A4014010, 2015.
    24. Mendoza, P.A., M.P. Clark, M. Barlage, B. Rajagopalan, L. Samaniego, G. Abramowitz and H. Gupta, Are we unnecessarily constraining the agility of complex process-based models?, Water Resources Research, 51 (1), 716-728, 2015.
    25. Clark, M.P., B. Nijssen, J.D. Lundquist, D. Kavetski, D.E. Rupp, R.A. Woods, J.E. Freer, E.D. Gutmann, A.W. Wood, L.D. Brekke, J.R. Arnold, D.J. Gochis and R.M Rasmussen, A unified approach for process-based hydrologic modeling: 1. Modeling concept, Water Resources Research, 51 (4), 2498-2514, 2015.
    26. Clark, M.P., B. Nijssen, J.D. Lundquist, D. Kavetski, D.E. Rupp, R.A. Woods, J.E. Freer, E.D. Gutmann, A.W. Wood, D.J. Gochis, R.M. Rasmussen, D.G. Tarboton, V. Mahat, G.N. Flerchinger and D.G. Marks, A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies, Water Resources Research, 51 (4), 2515-2542, 2015.
    27. Ceola, S., B. Arheimer, E. Baratti, G. Blöschl, R. Capell, A. Castellarin, J. Freer, D. Han, M. Hrachowitz, Y. Hundecha, C. Hutton, G. Lindström, A. Montanari, R. Nijzink, J. Parajka, E. Toth, A. Viglione and T. Wagener, Virtual laboratories: New opportunities for collaborative water science, Hydrology and Earth System Sciences, 19 (4), 2101-2117, 2015.
    28. Lundquist, J.D., N.E. Wayand, A. Massmann, M.P. Clark, F. Lott and N.C. Cristea, Diagnosis of insidious data disasters, Water Resources Research, 51 (5), 3815-3827, 2015.
    29. Safari, A., and F. De Smedt, Improving the confidence in hydrologic model calibration and prediction by transformation of model residuals, Journal of Hydrologic Engineering, 20 (9), 10.1061/(ASCE)HE.1943-5584.0001141, 04015001, 2015.

  1. D. Koutsoyiannis, Reply to the Comment by T. López-Arias on “Clausius-Clapeyron equation and saturation vapour pressure: simple theory reconciled with practice”, European Journal of Physics, 33, L13–L14, 2012.

    In agreement with the Comment on my paper it is clarified that the atmosphere does not involve a mechanism to ‘hold’ water vapour but rather it ‘contains’ it.

    Remarks:

    The Comment can be found in http://dx.doi.org/10.1088/0143-0807/33/3/L11

    Additional material:

    See also: http://dx.doi.org/10.1088/0143-0807/33/3/L13

    Other works that reference this work (this list might be obsolete):

    1. Kundzewicz, Z.W., S. Kanae, S. I. Seneviratne, J. Handmer, N. Nicholls, P. Peduzzi, R. Mechler, L. M. Bouweri, N. Arnell, K. Mach, R. Muir-Wood, G. R. Brakenridge, W. Kron, G. Benito, Y. Honda, K. Takahashi, and B. Sherstyukov, Flood risk and climate change: global and regional perspectives, Hydrological Sciences Journal, 2014.

  1. F. Lombardo, E. Volpi, and D. Koutsoyiannis, Rainfall downscaling in time: Theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades, Hydrological Sciences Journal, 57 (6), 1052–1066, 2012.

    During the last three or four decades, intensive research has focused on techniques capable of generating rainfall time series at a certain time scale which are (fully or partially) consistent with a given series at a coarser time scale. Here we theoretically investigate the consequences on the ensemble statistical behaviour caused by the structure of a simple and widely used approach of stochastic downscaling for rainfall time series: discrete Multiplicative Random Cascade (MRC). We show that synthetic rainfall time series generated by MRC models correspond to a stochastic process which is non-stationary, since its temporal autocorrelation structure depends on the position in time in an undesirable manner. Then, we propose and theoretically analyze an alternative downscaling approach based on the Hurst-Kolmogorov process (HKp), which is equally simple but is stationary. Finally, we provide Monte Carlo experiments, which validate our theoretical results.

    Remarks:

    Featured article of Hydrological Sciences Journal.

    For this article the authors Federico Lombardo and Elena Volpi received the 2013 Tison Award of the International Association of Hydrological Sciences (IAHS), which is granted to young scientists (under 41) for an outstanding paper published by IAHS in the last two years.

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2012.695872

    Other works that reference this work (this list might be obsolete):

    1. Resta, M., Hurst exponent and its applications in time-series analysis, Recent Patents on Computer Science, 5 (3), 211-219, 2012.
    2. Lisniak, D., J. Franke and C. Bernhofer, Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series, Hydrol. Earth Syst. Sci., 17, 2487-2500, 10.5194/hess-17-2487-2013, 2013.
    3. Paschalis, A., P. Molnar, S. Fatichi and P. Burlando, On temporal stochastic modeling of precipitation, nesting models across scales, Advances in Water Resources, 63, 152-166, 2014.
    4. Cheng, Q., Generalized binomial multiplicative cascade processes and asymmetrical multifractal distributions, Nonlin. Processes Geophys., 21, 477-487, 10.5194/npg-21-477-2014, 2014.
    5. De Luca, D., Analysis and modelling of rainfall fields at different resolutions in southern Italy, Hydrological Sciences Journal, 10.1080/02626667.2014.926013, 2014.
    6. Pavlopoulos, H., and W. Krajewski, A diagnostic study of spectral multiscaling on spatio-temporal accumulations of rainfall fields based on radar measurements over Iowa, Advances in Water Resources, 74, 258-278, 10.1016/j.advwatres.2014.10.001, 2014.
    7. Licznar, P., C. De Michele and W. Adamowski, Precipitation variability within an urban monitoring network via microcanonical cascade generators, Hydrol. Earth Syst. Sci., 19 (1), 485-506, 2015.
    8. Müller, H. and U. Haberlandt, Temporal Rainfall Disaggregation with a Cascade Model: From Single-Station Disaggregation to Spatial Rainfall, J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001195, 04015026, 2015.
    9. Kianfar, B., S. Fatichi, A. Paschalis, M. Maurer, and P. Molnar, Climate change and uncertainty in high-resolution rainfall extremes, Hydrology and Earth System Sciences Discussions, doi:10.5194/hess-2016-536, 2016.

  1. D. Koutsoyiannis, Clausius-Clapeyron equation and saturation vapour pressure: simple theory reconciled with practice, European Journal of Physics, 33 (2), 295–305, doi:10.1088/0143-0807/33/2/295, 2012.

    While the Clausius-Clapeyron equation is very important as it determines the saturation vapour pressure, in practice it is replaced by empirical, typically Magnus type, equations which are more accurate. It is shown that the reduced accuracy reflects an inconsistent assumption that the latent heat of vaporization is constant. Not only is this assumption unnecessary and excessive, but it is also contradictory to entropy maximization. Removing this assumption and using a pure entropy maximization framework we obtain a simple closed solution, which is both theoretically consistent and accurate. Our discussion and derivation are relevant to students and specialists in statistical thermophysics and in geophysical sciences, and our results are ready for practical application in physics as well as in such disciplines as hydrology, meteorology and climatology.

    Remarks:

    URL of the Corrigendum: http://iopscience.iop.org/0143-0807/33/4/1021

    Additional material:

    See also: http://dx.doi.org/10.1088/0143-0807/33/2/295

    Works that cite this document: View on Google Scholar, ResearchGate or ResearchGate (additional)

    Other works that reference this work (this list might be obsolete):

    1. Sarkar, M., Theoretical comparison of cooling loads of an air handling unit in blow-through and draw-through configurations, Energy and Buildings, 10.1016/j.enbuild.2013.04.025, 2013.
    2. Zhang, Y., L. Yuan, X. Lan, A. Kaur, J. Huang and H. Xiao, High temperature fiber optic Fabry-Perot interferometric pressure sensor fabricated by femtosecond laser, Optics Letters, 10.1364/OL.99.099999, 2013.
    3. Boardman, C. R. and S. V. Glass, Moisture transfer through the membrane of a cross-flow energy recovery ventilator: Measurement and simple data-driven modeling, Journal of Building Physics, 10.1177/1744259113506072, 2013.
    4. Bhattarai, S., J. H. Oh, S. H. Euh, D. H. Kim and L. Yu, Simulation study for pneumatic conveying drying of sawdust for pellet production, Drying Technology, 32(10), 1142-1156, 2014.
    5. Liu, S., C. Zhang, L. Li, S. Yu, C. Xie, F. Liu and Z. Song, Application of dissociation extraction in oxidation degradation reaction of lignin, Industrial and Engineering Chemistry Research, 53 (49), 19370-19374, 2014.
    6. Sarkar, M., A new theoretical formulation of dew point temperatures applicable for comfort air-cooling systems, Energy and Buildings, 86, 243-256, 10.1016/j.enbuild.2014.10.029, 2015.
    7. Girona, T., F. Costa, B. Taisne, B. Aggangan and S. Ildefonso, Fractal degassing from Erebus and Mayon volcanoes revealed by a new method to monitor H2O emission cycles, Journal of Geophysical Research B: Solid Earth, 120 (5), 2988-3002, 2015.
    8. Kakade, R.S., Least-enthalpy based control of cabin air recirculation, SAE Technical Papers, 2015-01-0372, 10.4271/2015-01-0372, 2015.
    9. Žitnik, M., K. Bučar, B. Hiti, Ž. Barba, Z. Rupnik, A. Založnik, E. Žitnik, I. Rodrìguez, I. Mihevc and J. Žibert, Exercise-induced effects on a gym atmosphere, Indoor Air, 10.1111/ina.12226, 2015.

  1. S.M. Papalexiou, and D. Koutsoyiannis, Entropy based derivation of probability distributions: A case study to daily rainfall, Advances in Water Resources, 45, 51–57, doi:10.1016/j.advwatres.2011.11.007, 2012.

    The principle of maximum entropy, along with empirical considerations, can provide consistent basis for constructing a consistent probability distribution model for highly varying geophysical processes. Here we examine the potential of using this principle with the Boltzmann-Gibbs-Shannon entropy definition in the probabilistic modelling of rainfall in different areas worldwide. We define and theoretically justify specific simple and general entropy maximization constraints which lead to two flexible distributions, i.e., the three-parameter Generalized Gamma (GG) and the four-parameter Generalized Beta of the second kind (GB2), with the former being a particular limiting case of the latter. We test the theoretical results in 11 519 daily rainfall records across the globe. The GB2 distribution seems to be able to describe all empirical records while two of its specific three-parameter cases, the GG and the Burr Type XII distributions perform very well by describing the 97.6% and 87.7% of the empirical records, respectively.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.advwatres.2011.11.007

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Zhang, L., and V. P. Singh, Bivariate rainfall and runoff analysis using entropy and copula theories, Entropy, 14, 1784-1812, 2012.
    2. Kumphon, B., Maximum entropy and maximum likelihood estimation for the three-parameter kappa distribution, Open Journal of Statistics, 2 (4), 415-419, doi: 10.4236/ojs.2012.24050, 2012.
    3. #Singh, V. P., Entropy Theory and its Application in Environmental and Water Engineering, Wiley, 2013.
    4. Weijs, S. V., N. van de Giesen and M.B. Parlange, HydroZIP: How hydrological knowledge can be used to improve compression of hydrological data, Entropy, 15, 1289-1310, 2013,
    5. Paschalis, A., P. Molnar, S. Fatichi and P. Burlando, On temporal stochastic modeling of precipitation, nesting models across scales, Advances in Water Resources, 63, 152-166, 2014.
    6. Serinaldi, F., and C. G. Kilsby, Rainfall extremes: Toward reconciliation after the battle of distributions, Water Resources Research, 50 (1), 336-352, 2014.
    7. Zhe, L. D. Yang, Y. Hong, J. Zhang and Y. Qi, Characterizing spatiotemporal variations of hourly rainfall by gauge and radar in the mountainous three gorges region, J. Appl. Meteor. Climatol., 53, 873–889, 2014.
    8. Ridolfi, E., L. Alfonso, G. Di Baldassarre, F. Dottori, F. Russo, and F. Napolitano, An entropy approach for the optimization of cross-section spacing for river modelling, Hydrological Sciences Journal, 59 (1), 126-137, 2014.
    9. Hosking, J. R. M., and N. Balakrishnan, A uniqueness result for L-estimators, with applications to L-moments, Statistical Methodology, 10.1016/j.stamet.2014.08.002, 2014.
    10. Brouers, F., Statistical foundation of empirical isotherms, Open Journal of Statistics, 4, 687-701, 2014.
    11. Hao, Z., and V.P. Singh, Integrating entropy and copula theories for hydrologic modeling and analysis, Entropy, 17 (4), 2253-2280, 2015.
    12. Fan, Y.R., W.W. Huang, G.H. Huang, K. Huang, Y.P. Li, and X.M. Kong, Bivariate hydrologic risk analysis based on a coupled entropy-copula method for the Xiangxi River in the Three Gorges Reservoir area, China, 10.1007/s00704-015-1505-z, 2015.

  1. S.M. Papalexiou, D. Koutsoyiannis, and A. Montanari, Can a simple stochastic model generate rich patterns of rainfall events?, Journal of Hydrology, 411 (3-4), 279–289, 2011.

    Several of the existing rainfall models involve diverse assumptions, a variety of uncertain parameters, complicated mechanistic structures, use of different model schemes for different time scales, and possibly classifications of rainfall patterns into different types. However, the parsimony of a model is recognized as an important desideratum as it improves its comprehensiveness, its applicability and possibly its predictive capacity. To investigate the question if a single and simple stochastic model can generate a plethora of temporal rainfall patterns, as well as to detect the major characteristics of such a model (if it exists), a data set with very fine timescale rainfall is used. This is the well-known data set of the University of Iowa comprising measurements of seven storm events at a temporal resolution of 5-10 seconds. Even though only seven such events have been observed, their diversity can help investigate these issues. An evident characteristic resulting from the stochastic analysis of the events is the scaling behaviours both in state and in time. Utilizing these behaviours, a stochastic model is constructed which can represent all rainfall events and all rich patterns, thus suggesting a positive reply to the above question. In addition, it seems that the most important characteristics of such a model are a power-type distribution tail and an asymptotic power-type autocorrelation function. Both power-type distribution tails and autocorrelation functions can be viewed as properties enhancing randomness and uncertainty, or entropy.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.jhydrol.2011.10.008

    Other works that reference this work (this list might be obsolete):

    1. Resta, M., Hurst exponent and its applications in time-series analysis, Recent Patents on Computer Science, 5 (3), 211-219, 2012.
    2. Kane, I. L., and F. Yusof, Assessment of risk of rainfall events with a hybrid of ARFIMA-GARCH, Modern Applied Science, 7 (12), 78-89, 2013.
    3. #Majumder, M., and R.N. Barman, Application of artificial neural networks in short-term rainfall forecasting, Application of Nature Based Algorithm in Natural Resource Management, 43-58, 2013.
    4. Brigode, P., P. Bernardara, E. Paquet, J. Gailhard, F. Garavaglia, R. Merz, Z. Mic̈ovic̈, D. Lawrence and P. Ribstein, Sensitivity analysis of SCHADEX extreme flood estimations to observed hydrometeorological variability, Water Resources Research, 50 (1), 353-370, 2014.
    5. Kormos, P.R., J.P. McNamara, M.S. Seyfried, H.P. Marshall, D. Marks and A.N. Flores, Bedrock infiltration estimates from a catchment water storage-based modeling approach in the rain snow transition zone, Journal of Hydrology, 525, 231-248, 2015.

  1. D. Koutsoyiannis, A. Christofides, A. Efstratiadis, G. G. Anagnostopoulos, and N. Mamassis, Scientific dialogue on climate: is it giving black eyes or opening closed eyes? Reply to “A black eye for the Hydrological Sciences Journal” by D. Huard, Hydrological Sciences Journal, 56 (7), 1334–1339, 2011.

    Remarks:

    The full text is available at the journal's web site: http://dx.doi.org/10.1080/02626667.2011.610759

    Huard's Discussion can be accessed again from the journal's web site: http://dx.doi.org/10.1080/02626667.2011.610758

    Weblog discussions can be seen in Climate Science, ABC News Watch, Fabius Maximus, Itia.

    Related works:

    • [67] A comparison of local and aggregated climate model outputs with observed data

    Full text: http://www.itia.ntua.gr/en/getfile/1140/1/documents/2011HSJ_OpeningClosedEyes.pdf (88 KB)

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2011.610759

    Other works that reference this work (this list might be obsolete):

    1. Jiang, P., M. R. Gautam, J. Zhu and Z. Yu, How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States?, Journal of Hydrology, 479, 75-85, 2013.
    2. Chun, K. P., H. S. Wheater, and C. Onof, Comparison of drought projections using two UK weather generators, Hydrological Sciences Journal, 58(2), 1–15, 2013.
    3. #Ranzi, R., Influence of climate and anthropogenic feedbacks on the hydrological cycle, water management and engineering, Proceedings of 2013 IAHR World Congress, 2013.
    4. Kundzewicz, Z.W., S. Kanae, S. I. Seneviratne, J. Handmer, N. Nicholls, P. Peduzzi, R. Mechler, L. M. Bouweri, N. Arnell, K. Mach, R. Muir-Wood, G. R. Brakenridge, W. Kron, G. Benito, Y. Honda, K. Takahashi, and B. Sherstyukov, Flood risk and climate change: global and regional perspectives, Hydrological Sciences Journal, 59(1), 1-28, doi:10.1080/02626667.2013.857411, 2014.
    5. #Jiménez Cisneros, B.E., T. Oki, N.W. Arnell, G. Benito, J.G. Cogley, P. Döll, T. Jiang, and S.S. Mwakalila, Freshwater resources. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)], Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 229-269, 2014.
    6. Hesse, C., V. Krysanova, A. Stefanova, M. Bielecka, and D. A. Domnin, Assessment of climate change impacts on water quantity and quality of the multi-river Vistula Lagoon catchment, Hydrological Sciences Journal, 60(5), 890-911, doi:10.1080/02626667.2014.967247, 2015.
    7. Nayak, P. C., R. Wardlaw, and A. K. Kharya, Water balance approach to study the effect of climate change on groundwater storage for Sirhind command area in India, International Journal of River Basin Management, 13(2), 243-261, doi:10.1080/15715124.2015.1012206, 2015.
    8. Frank, P., Negligence, non-science, and consensus climatology, Energy and Environment, 26(3), doi:10.1260/0958-305X.26.3.391, 2015.
    9. Kara, F., I. Yucel, and Z. Akyurek, Climate change impacts on extreme precipitation of water supply area in Istanbul: Use of ensemble climate modelling and geo-statistical downscaling, Hydrological Sciences Journal, 61(14), 2481-2495, doi:10.1080/02626667.2015.1133911, 2016.
    10. Refsgaard, J. C., T. O. Sonnenborg, M. B. Butts, J. H. Christensen, S. Christensen, M. Drews, K. H. Jensen, F. Jørgensen, L. F. Jørgensen, M. A. D. Larsen, S. H. Rasmussen, L. P. Seaby, D. Seifert, and T. N. Vilhelmsen, Climate change impacts on groundwater hydrology – where are the main uncertainties and can they be reduced?, Hydrological Sciences Journal, 61(13), 2312-2324, doi:10.1080/02626667.2015.1131899, 2016.
    11. Kundzewicz, Z. W., V. Krysanova, R. Dankers, Y. Hirabayashi, S. Kanae, F. F. Hattermann, S. Huang, P. C. D. Milly, M. Stoffel, P. P. J. Driessen, P. Matczak, P. Quevauviller, and H.-J. Schellnhuber, Differences in flood hazard projections in Europe – their causes and consequences for decision making, Hydrological Sciences Journal, 62(1), 1-14, doi:10.1080/02626667.2016.1241398, 2017.

  1. D. Koutsoyiannis, Scale of water resources development and sustainability: Small is beautiful, large is great, Hydrological Sciences Journal, 56 (4), 553–575, doi:10.1080/02626667.2011.579076, 2011.

    Several aspects of water resources and their links with food and energy supply, as well as with natural hazards, have been obscured due to political aims and ideological influences. At the same time, the involvement of politics and ideology testifies the high importance of water related issues internationally, and reflects the intensifying unresolved problems related to water, food and energy adequacy, and protection from floods and droughts. In an attempt to separate as much as possible the essence of problems from the political and ideological influences, several facts and fallacies about water and interrelated issues are discussed, based on data (numbers) rather than on dominant ideological views. The domain of the discussion is generally the entire globe, but, as a particular case, Greece, whose water resources are only partly developed, is discussed in more detail. From a pragmatic point of view, the water infrastructure in developed countries appears to be irreplaceable, although its management is adaptable toward more environmentally friendly operation. For developing countries, no alternative to large-scale water resources development by engineering means appears plausible. The recent pursuit of renewable energy makes imperative the utilization of the existing, and, where possible, the building of new, large hydropower plants, as only these can provide efficient energy storage, which is necessary for the renewable energy provided by nature in highly varying patterns.

    Remarks:

    Two typing errors in reference to Fig. 12 have been noted and corrected in the file provided here. In addition to people acknowledged in the paper, thanks (and apology) are due to Aris Tegos has also provided useful comments.

    Full text: http://www.itia.ntua.gr/en/getfile/1108/2/documents/2011HSJ_LargeIsGreat.pdf (3787 KB)

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2011.579076

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Sivakumar, B., Water crisis: From conflict to cooperation – an overview, Hydrological Sciences Journal, 56(4), 531-552, 2011.
    2. Sivapalan, M., H. H. G. Savenije and G. Blöschl, Socio-hydrology: A new science of people and water, Hydrological Processes, 26 (8), 1270-1276, 2012.
    3. Gunasekara, N. K., S. Kazama, D. Yamazaki and T. Oki, The effects of country-level population policy for enhancing adaptation to climate change, Hydrol. Earth Syst. Sci., 17, 4429-4440, 2013.
    4. Kundzewicz, Z. W., I. Pińskwar and G. R. Brakenridge, Large floods in Europe, 1985–2009, Hydrological Sciences Journal, 58 (1), 1-7, 2013.
    5. Sivakumar, B., V. P. Singh, R. Berndtsson and S. K. Khan, Catchment classification framework in hydrology: challenges and directions, Journal of Hydrologic Engineering , 10.1061/(ASCE)HE.1943-5584.0000837, 2013.
    6. #Petrov, G., and R. Berberova, Software tools for georadar data processing and visualization, Computer Science Education and Computer Science - 9th Annual International Conference, 2013.
    7. Berhane, G., and K. Walraevens, Geological challenges in constructing the proposed Geba dam site, northern Ethiopia, Bulletin of Engineering Geology and the Environment, 10.1007/s10064-013-0480-9, 2013.
    8. #Gupta, J., Global water governance, The Handbook of Global Climate and Environment Policy (ed. by R. Falkner), 19-36, Wiley, West Sussex, UK, 2013.
    9. Paschalis, A., P. Molnar, S. Fatichi and P. Burlando, A stochastic model for high resolution space‐time precipitation simulation, Water Resources Research, 49 (12), 8400-8417, 2013.
    10. Liu H.-J., and N.-S. Hsu, Novel information for source identification of local pumping and recharging in a groundwater system, Hydrological Sciences Journal, 10.1080/02626667.2014.898847, 2014.
    11. Graf, R., Reference statistics for the structure of measurement series of groundwater levels (Wielkopolska Lowland - western Poland), Hydrological Sciences Journal, 10.1080/02626667.2014.905689, 2014.
    12. Bakken, T. H., A. G. Aase, D. Hagen, H. Sundt, D. N. Barton and P. Lujala, Demonstrating a new framework for the comparison of environmental impacts from small- and large-scale hydropower and wind power projects, Journal of Environmental Management, 140, 93-101, 2014.
    13. Rodríguez–Estrella, T., The problems of overexploitation of aquifers in semi-arid areas: characteristics and proposals for mitigation, Boletín Geológico y Minero, 125 (1), 91-109, 2014.
    14. Dou, M., Q. Zuo, J. Ma and G. Li, Simulation and control of the coupled systems of water quantity–water quality–socio-economics in the Huaihe River Basin, Hydrological Sciences Journal, 10.1080/02626667.2014.959953, 2014.
    15. Ambalam, K., Reallocation of water resources in the Arab region: an emerging challenge in water governance, European Journal of Sustainable Development, 3 (3), 283-298, 10.14207/ejsd.2014.v3n3p283, 2014.
    16. Jager, H.I., R.A. Efroymson, J.J. Opperman and M.R. Kelly, Spatial design principles for sustainable hydropower development in river basins, Renewable and Sustainable Energy Reviews, 45, 808-816, 2015.
    17. McMillan, H., A. Montanari, C. Cudennec, H. Savenjie, H. Kreibich, T. Krüger, J. Liu, A. Meija, A. van Loon, H. Aksoy, G. Di Baldassarre, Y. Huang, D. Mazvimavi, M. Rogger, S. Bellie, T. Bibikova, A. Castellarin, Y. Chen, D. Finger, A. Gelfan, D. Hannah, A. Hoekstra, H. Li, S. Maskey, T. Mathevet, A. Mijic, A. Pedrozo Acuña, M. J. Polo, V. Rosales, P. Smith, A. Viglione, V. Srinivasan, E. Toth, R. van Nooyen, and J. Xia, Panta Rhei 2013-2015: Global perspectives on hydrology, society and change, Hydrological Sciences Journal, doi:10.1080/02626667.2016.1159308, 2016.

  1. D. Koutsoyiannis, Hurst-Kolmogorov dynamics as a result of extremal entropy production, Physica A: Statistical Mechanics and its Applications, 390 (8), 1424–1432, doi:10.1016/j.physa.2010.12.035, 2011.

    It is demonstrated that extremization of entropy production of stochastic representations of natural systems, performed at asymptotic times (zero or infinity) results in constant derivative of entropy in logarithmic time and, in turn, in Hurst-Kolmogorov processes. The constraints used include preservation of the mean, variance and lag-1 autocovariance at the observation time step, and an inequality relationship between conditional and unconditional entropy production, which is necessary to enable physical consistency. An example with real world data illustrates the plausibility of the findings.

    Remarks:

    Erratum: In the Conclusions section the text "(zero of infinity)" should read "(zero or infinity)".

    Blog posts and discussions: Bishop Hill blog - Koutsoyiannis 2011, Society for Interdisciplinary Studies.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.physa.2010.12.035

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Resta, M., Hurst exponent and its applications in time-series analysis, Recent Patents on Computer Science, 5 (3), 211-219, 2012.
    2. Serinaldi, F., L. Zunino and O. Rosso, Complexity–entropy analysis of daily stream flow time series in the continental United States, Stochastic Environmental Research and Risk Assessment, 28 (7), 1685-1708, 2014.
    3. Fan, L., H. Wang, W. Lai and C. Wang, Administration of water resources in Beijing: Problems and countermeasures, Water Policy, 17 (4), 563-580, 2015.

  1. D. Koutsoyiannis, A. Paschalis, and N. Theodoratos, Two-dimensional Hurst-Kolmogorov process and its application to rainfall fields, Journal of Hydrology, 398 (1-2), 91–100, 2011.

    The Hurst-Kolmogorov (HK) dynamics has been well established in stochastic representations of the temporal evolution of natural processes, yet many regard it as a puzzle or a paradoxical behaviour. As our senses are more familiar with spatial objects rather than time series, understanding the HK behaviour becomes more direct and natural when the domain of our study is no longer the time but the two-dimensional space. Therefore, here we detect the presence of HK behaviour in spatial hydrological and generally geophysical fields including Earth topography, and precipitation and temperature fields. We extend the one-dimensional HK process into two dimensions and we provide exact relationships of its basic statistical properties and closed approximations thereof. We discuss the parameter estimation problem, with emphasis on the associated uncertainties and biases. Finally, we propose a two-dimensional stochastic generation scheme, which can reproduce the HK behaviour and we apply this scheme to generate rainfall fields, consistent with the observed ones.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.jhydrol.2010.12.012

    Other works that reference this work (this list might be obsolete):

    1. Montanari, A., Hydrology of the Po River: looking for changing patterns in river discharge, Hydrology and Earth System Sciences, 16, 3739-3747, doi:10.5194/hess-16-3739-2012, 2012.
    2. Resta, M., Hurst exponent and its applications in time-series analysis, Recent Patents on Computer Science, 5 (3), 211-219, 2012.
    3. De Michele, C., and M. Ignaccolo, New perspectives on rainfall from a discrete view, Hydrological Processes, 10.1002/hyp.9782, 2013.
    4. Paschalis, A., P. Molnar, S. Fatichi and P. Burlando, A stochastic model for high resolution space‐time precipitation simulation, Water Resources Research, 49 (12), 8400-8417, 2013.
    5. van den Berg, M. J., L. Delobbe and N. E. C. Verhoest, Imperfect scaling in distributions of radar-derived rainfall fields, Hydrol. Earth Syst. Sci. , 18 (12), 5331-5344, 2014.
    6. Paschalis, A., P. Molnar, S. Fatichi and P. Burlando, On temporal stochastic modeling of precipitation, nesting models across scales, Advances in Water Resources, 63, 152-166, 2014.

  1. I. Nalbantis, A. Efstratiadis, E. Rozos, M. Kopsiafti, and D. Koutsoyiannis, Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems, Hydrology and Earth System Sciences, 15, 743–758, doi:10.5194/hess-15-743-2011, 2011.

    The modelling of human-modified basins that are inadequately measured constitutes a challenge for hydrological science. Often, models for such systems are detailed and hydraulics-based for only one part of the system while for other parts oversimplified models or rough assumptions are used. This is typically a bottom-up approach, which seeks to exploit knowledge of hydrological processes at the micro-scale at some components of the system. Also, it is a monomeric approach in two ways: first, essential interactions among system components may be poorly represented or even omitted; second, differences in the level of detail of process representation can lead to uncontrolled errors. Additionally, the calibration procedure merely accounts for the reproduction of the observed responses using typical fitting criteria. The paper aims to raise some critical issues, regarding the entire modelling approach for such hydrosystems. For this, two alternative modelling strategies are examined that reflect two modelling approaches or philosophies: a dominant bottom-up approach, which is also monomeric and, very often, based on output information, and a top-down and holistic approach based on generalized information. Critical options are examined, which codify the differences between the two strategies: the representation of surface, groundwater and water management processes, the schematization and parameterization concepts and the parameter estimation methodology. The first strategy is based on stand-alone models for surface and groundwater processes and for water management, which are employed sequentially. For each model, a different (detailed or coarse) parameterization is used, which is dictated by the hydrosystem schematization. The second strategy involves model integration for all processes, parsimonious parameterization and hybrid manual-automatic parameter optimization based on multiple objectives. A test case is examined in a hydrosystem in Greece with high complexities, such as extended surface-groundwater interactions, ill-defined boundaries, sinks to the sea and anthropogenic intervention with unmeasured abstractions both from surface water and aquifers. Criteria for comparison are the physical consistency of parameters, the reproduction of runoff hydrographs at multiple sites within the studied basin, the likelihood of uncontrolled model outputs, the required amount of computational effort and the performance within a stochastic simulation setting. Our work allows for investigating the deterioration of model performance in cases where no balanced attention is paid to all components of human-modified hydrosystems and the related information. Also, sources of errors are identified and their combined effect are evaluated.

    Full text: http://www.itia.ntua.gr/en/getfile/1055/11/documents/hess-15-743-2011.pdf (1733 KB)

    Additional material:

    See also: http://dx.doi.org/10.5194/hess-15-743-2011

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Gharari, S., M. Hrachowitz, F. Fenicia, and H. H. G. Savenije, Hydrological landscape classification: investigating the performance of HAND based landscape classifications in a central European meso-scale catchment, Hydrology and Earth System Sciences, 15, 3275-3291, doi:10.5194/hess-15-3275-2011, doi:10.5194/hess-15-3275-2011, 2011.
    2. #Gharari, S., M. Hrachowitz, F. Fenicia, and H. H. G Savenije, Moving beyond traditional model calibration or how to better identify realistic model parameters: sub-period calibration, Hydrology and Earth System Science Discussions,, 9, 1885-1918, doi:10.5194/hessd-9-1885-2012, 2012.
    3. Flipo, N., C. Monteil, M. Poulin, C. de Fouquet, and M. Krimissa, Hybrid fitting of a hydrosystem model: Long term insight into the Beauce aquifer functioning (France), Water Recourses Research, 48, W05509, doi:10.1029/2011WR011092, 2012.
    4. Wang, X., T. Liu and W. Yang, Development of a robust runoff-prediction model by fusing the rational equation and a modified SCS-CN method, Hydrological Sciences Journal, 57(6), 1118-1140, doi:10.1080/02626667.2012.701305, 2012.
    5. Maneta, M. P., and W. W. Wallender, Pilot-point based multi-objective calibration in a surface–subsurface distributed hydrological model, Hydrological Sciences Journal, 58(2), 390-407, doi:10.1080/02626667.2012.754987, 2013.
    6. Hrachowitz, M., H.H.G. Savenije, G. Blöschl, J.J. McDonnell, M. Sivapalan, J.W. Pomeroy, B. Arheimer, T. Blume, M.P. Clark, U. Ehret, F. Fenicia, J.E. Freer, A. Gelfan, H.V. Gupta, D.A. Hughes, R.W. Hut, A. Montanari, S. Pande, D. Tetzlaff, P.A. Troch, S. Uhlenbrook, T. Wagener, H.C. Winsemius, R.A. Woods, E. Zehe, and C. Cudennec, A decade of Predictions in Ungauged Basins (PUB) — a review, Hydrological Sciences Journal, 58(6), 1198-1255, 2013.
    7. #Loukas, A., and L. Vasiliades, Review of applied methods for flood-frequency analysis in a changing environment in Greece, In: A review of applied methods in Europe for flood-frequency analysis in a changing environment, Floodfreq COST action ES0901: European procedures for flood frequency estimation (ed. by H. Madsen et al.), Centre for Ecology & Hydrology, Wallingford, UK, 2013.
    8. Flipo, N., A. Mouhri, B. Labarthe, S. Biancamaria, A. Rivière and P. Weill, Continental hydrosystem modelling: the concept of nested stream–aquifer interfaces, Hydrology and Earth System Sciences, 18, 3121-3149, doi:10.5194/hess-18-3121-2014, 2014.
    9. Ivkovic, K. M., B. F. W. Croke and R. A.Kelly, Overcoming the challenges of using a rainfall-runoff model to estimate the impacts of groundwater extraction on low flows in an ephemeral stream, Hydrology Research, 45(1), 58-72, doi:10.2166/nh.2013.204, 2014.
    10. Mateo, C. M., N. Hanasaki, D. Komori, K. Tanaka, M. Kiguchi, A. Champathong, T. Sukhapunnaphan, D.Yamazaki, and T. Oki, Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models, Water Resources Research, 50(9), 7245–7266, doi:10.1002/2013WR014845, 2014.
    11. Gharari, S., M. Hrachowitz, F. Fenicia, H. Gao, and H. H. G. Savenije, Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration, Hydrology and Earth System Sciences, 18, 4839-4859, doi:10.5194/hess-18-4839-2014, 2015.
    12. Thirel, G., V. Andréassian, C. Perrin, J.-N. Audouy, L. Berthet, P. Edwards, N. Folton, C. Furusho, A. Kuentz, J. Lerat, G. Lindström, E. Martin, T. Mathevet, R. Merz, J. Parajka, D. Ruelland, and J. Vaze, Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments, Hydrological Sciences Journal, 60(7-8), 1184-1199, doi:10.1080/02626667.2014.9672482014, 2015.
    13. Pryet, A., B. Labarthe, F. Saleh, M. Akopian and N. Flipo, Reporting of stream-aquifer flow distribution at the regional scale with a distributed process-based model, Water Resources Management, 10.1007/s11269-014-0832-7, 29(1), 139-159, 2015.
    14. Donnelly, C., J. C. M. Andersson, and B. Arheimer, Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe, Hydrological Sciences Journal, 61(2), 255-273, doi:10.1080/02626667.2015.1027710, 2016.
    15. Bellin, A., B. Majone, O. Cainelli, D. Alberici, and F. Villa, A continuous coupled hydrological and water resources management model, Environmental Modelling and Software, 75, 176–192, doi:10.1016/j.envsoft.2015.10.013, 2016.
    16. Ajmal, M., J.-H. Ahn, and , T.-W. Kim, Excess stormwater quantification in ungauged watersheds using an event-based modified NRCS model, Water Resources Management, 30(4), 1433-1448, doi:10.1007/s11269-016-1231-z, 2016.
    17. Ma, L., C. He, H. Bian, and L. Sheng, MIKE SHE modeling of ecohydrological processes: Merits, applications, and challenges, Ecological Engineering, doi:10.1016/j.ecoleng.2016.01.008, 2016.
    18. Tigkas, D., V. Christelis, and G. Tsakiris, Comparative study of evolutionary algorithms for the automatic calibration of the Medbasin-D conceptual hydrological model, Environmental Processes, 3(3), 629–644, doi:10.1007/s40710-016-0147-1, 2016.
    19. Ercan, A., E. C. Dogrul, and T. N. Kadir, Investigation of the groundwater modelling component of the Integrated Water Flow Model (IWFM), Hydrological Sciences Journal, doi:10.1080/02626667.2016.1161765, 2016.

  1. D. Koutsoyiannis, Hurst-Kolmogorov dynamics and uncertainty, Journal of the American Water Resources Association, 47 (3), 481–495, doi:10.1111/j.1752-1688.2011.00543.x, 2011.

    The non-static, ever changing hydroclimatic processes are often described as nonstationary. However, revisiting the notions of stationarity and nonstationarity, defined within stochastics, suggests that claims of nonstationarity cannot stand unless the evolution in time of the statistical characteristics of the process is known in deterministic terms, particularly for the future. In reality, long-term deterministic predictions are difficult or impossible. Thus, change is not synonymous with nonstationarity, and even prominent change at a multitude of time scales, small and large, can be described satisfactorily by a stochastic approach admitting stationarity. This “novel” description does not depart from the 60- to 70-year old pioneering works of Hurst on natural processes and of Kolmogorov on turbulence. Contrasting stationary with nonstationary has important implications in engineering and management. The stationary description with Hurst-Kolmogorov (HK) stochastic dynamics demonstrates that nonstationary and classical stationary descriptions underestimate the uncertainty. This is illustrated using examples of hydrometeorological time series, which show the consistency of the HK approach with reality. One example demonstrates the implementation of this framework in the planning and management of the water supply system of Athens, Greece, also in comparison with alternative nonstationary approaches, including a trend-based and a climate-model-based approach.

    Remarks:

    Blog posts and discussions: The Blackboard.

    Related works:

    • [458] Predecessor talk

    Additional material:

    See also: http://dx.doi.org/10.1111/j.1752-1688.2011.00543.x

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Kiang, J. E., J. R. Olsen, and R. M. Waskom, Introduction to the featured collection on “Nonstationarity, Hydrologic Frequency Analysis, and Water Management.” Journal of the American Water Resources Association, 47(3), 433-435, 2011.
    2. Stakhiv, E. Z., Pragmatic approaches for water management under climate change uncertainty, JAWRA Journal of the American Water Resources Association, 47(6), 1183-1196, 2011.
    3. Beven, K., Causal models as multiple working hypotheses about environmental processes, Comptes Rendus Geoscience, 344 (2), 77-88, 2012.
    4. Coron, L., V. Andréassian, C. Perrin, J. Lerat, J. Vaze, M. Bourqui, and F. Hendrickx, Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments, Water Resour. Res., 48, W05552, doi: 10.1029/2011WR011721, 2012.
    5. #Schumann, A., Gumbel Distribution, ARMA, Copulas – The importance of stochastic tools for water management, 3rd STAHY International Workshop on Statistical Methods for Hydrology and Water Resources Management, Tunis, Tunisia, 2012.
    6. Salas, J., B. Rajagopalan, L. Saito and C. Brown, Special Section on climate change and water resources: Climate nonstationarity and water resources management, J. Water Resour. Plann. Manage., 138(5), 385–388, 2012.
    7. Kiparsky, M., A. Milman and S. Vicuña, Climate and water: knowledge of impacts to action on adaptation, Annual Review of Environment and Resources, 37, 163-194, 2012.
    8. Merz, B., T. Maurer and K. Kaiser, Wie gut können wir vergangene und zukünftige Veränderungen des Wasserhaushalts quantifizieren? [How well can we quantify past and future changes of the water cycle?], Hydrologie und Wasserbewirtschaftung, 5, 244-256, DOI: 10.5675/HyWa_2012,5_1, 2012.
    9. Resta, M., Hurst exponent and its applications in time-series analysis, Recent Patents on Computer Science, 5 (3), 211-219, 2012.
    10. Schumann, A., Talsperrenbewirtschaftung unter veränderten gesellschaftlichen Anforderungen, Wasserbauliche Mitteilungen der TU Dresden, Heft 47, 35, Dresdner Wasserbaukolloquium 2012 “Staubauwerke - Planen, Bauen, Betreiben”, 3-12, 2012.
    11. #Islam, S., and L.E. Susskind, Water diplomacy: A negotiated approach to managing complex water networks, Water Diplomacy: A Negotiated Approach to Managing Complex Water Networks, 1-342, 2012.
    12. Serrat-Capdevila, A., J. B. Valdes, F. Dominguez, and S. Rajagopal, Characterizing the water extremes of the new century in the US South-west: a comprehensive assessment from state-of-the-art climate model projections, International Journal of Water Resources Development, 29 (2), 152-171, 2013.
    13. Beven, K., So how much of your error is epistemic? Lessons from Japan and Italy, Hydrological Processes, 27 (11), 1677-168, 2013.
    14. Jiang, P., M. R. Gautam, J. Zhu, and Z. Yu, How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States?, Journal of Hydrology, 479, 13-23, 2013.
    15. Salas, J. D., Discussion ‘‘Pragmatic Approaches for Water Management Under Climate Change Uncertainty’’ by E. Z. Stakhiv, Journal of the American Water Resources Association, 49 (2), 475-478, 2013.
    16. Lisniak, D., J. Franke and C. Bernhofer, Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series, Hydrol. Earth Syst. Sci., 17, 2487-2500, 10.5194/hess-17-2487-2013, 2013.
    17. #Ercan, A., M. L. Kavvas and R. Abbasov, Introduction, Long-Range Dependence and Sea Level Forecasting, Springer International Publishing, 10.1007/978-3-319-01505-7_1, 2013.
    18. #Loukas, A., and L. Vasiliades, Review of applied methods for flood-frequency analysis in a changing environment in Greece, In: A review of applied methods in Europe for flood-frequency analysis in a changing environment, Floodfreq COST action ES0901: European procedures for flood frequency estimation (ed. by H. Madsen et al.), Centre for Ecology & Hydrology, Wallingford, UK, 2013.
    19. Serinaldi, F., L. Zunino and O. Rosso, Complexity–entropy analysis of daily stream flow time series in the continental United States, Stochastic Environmental Research and Risk Assessment, 28 (7), 1685-1708, 2014.
    20. Silva, A. T., M. M. Portela and M. Naghettini, On peaks-over-threshold modeling of floods with zero-inflated Poisson arrivals under stationarity and nonstationarity, Stochastic Environmental Research and Risk Assessment, 28 (6), 1587-1599, 2014.
    21. Markovic, D., and M. Koch, Long-term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin, Hydrological Processes, 28 (4), 2202-2211, 2014.
    22. Coron, L., V. Andréassian, C. Perrin, M. Bourqui, and F. Hendrickx, On the lack of robustness of hydrologic models regarding water balance simulation – a diagnostic approach on 20 mountainous catchments using three models of increasing complexity, Hydrology and Earth System Sciences, 18, 727-746, 2014.
    23. Kundzewicz, Z.W., S. Kanae, S. I. Seneviratne, J. Handmer, N. Nicholls, P. Peduzzi, R. Mechler, L. M. Bouweri, N. Arnell, K. Mach, R. Muir-Wood, G. R. Brakenridge, W. Kron, G. Benito, Y. Honda, K. Takahashi, and B. Sherstyukov, Flood risk and climate change: global and regional perspectives, Hydrological Sciences Journal, 2014.
    24. Panagoulia, D., P. Economou and C. Caroni, Stationary and nonstationary generalized extreme value modelling of extreme precipitation over a mountainous area under climate change, Environmetrics, 25 (1), 29-43, 2014.
    25. O'Connell, P. E. and G. O'Donnell, Towards modelling flood protection investment as a coupled human and natural system, Hydrol. Earth Syst. Sci., 18, 155-171, 2014.
    26. Panagoulia, D., and E. I. Vlahogianni, Non-linear dynamics and recurrence analysis of extreme precipitation for observed and general circulation model generated climates, Hydrological Processes, 28(4), 2281–2292, 2014.
    27. Borwein, J., P. Howlett and J. Piantadosi, Modelling and simulation of seasonal rainfall using the principle of maximum entropy, Entropy, 16(2), 747-769, 2014.
    28. Serinaldi, F., and C. G. Kilsby, Simulating daily rainfall fields over large areas for collective risk estimation, Journal of Hydrology, 10.1016/j.jhydrol.2014.02.043, 2014.
    29. Turner, S. W. D., P. J. Jeffrey, D. Marlow, M. Ekström, B. G. Rhodes and U. Kularathna, Linking climate projections to performance: A yield-based decision scaling assessment of a large urban water resources system, Water Resources Research, 10.1002/2013WR015156, 2014.
    30. Hughes, D. A., Simulating temporal variability in catchment response using a monthly rainfall-runoff model, Hydrological Sciences Journal, 10.1080/02626667.2014.909598, 2014.
    31. Dong, Q., and Y. Zhang, Advances in research of hydrological serial variation under non-stationary conditions and their impacts on flood control of reservoirs, Advances in Science and Technology of Water Resources, 34 (2), 71-75, 2014.
    32. #Beven, K., and R. Lamb, The uncertainty cascade in model fusion, Geological Society, London, Special Publications, 408, SP408-3, 10.1144/SP408.3, 2014
    33. Kling, H., P. Stanzel and M. Preishuber, Impact modelling of water resources development and climate scenarios on Zambezi River discharge, Journal of Hydrology: Regional Studies, 1, 17-43, 2014.
    34. Beven, K., and P. Smith, Concepts of information content and likelihood in parameter calibration for hydrological simulation models, Journal of Hydrologic Engineering, 20 (1), 10.1061/(ASCE)HE.1943-5584.0000991, art. no. A4014010, 2015.
    35. Serinaldi, F., and C.G. Kilsby, Stationarity is undead: Uncertainty dominates the distribution of extremes, Advances in Water Resources, 77, 17-36, 2015.
    36. Markovic, D., and M. Koch, Stream response to precipitation variability: A spectral view based on analysis and modelling of hydrological cycle components, Hydrological Processes, 29 (7), 1806-1816, 2015.
    37. Toledo, C., E. Muñoz and M. Zambrano-Bigiarini, Comparison of stationary and dynamic conceptual models in a mountainous and data-sparse catchment in the South-Central Chilean Andes, Advances in Meteorology, Art. ID 526158, 2015.
    38. #Toledo, C., and E. Muñoz, Hydrological processes dynamics in a mountainous river basin in south-central Chile, E-proceedings of the 36th IAHR World Congress, The Hague, the Netherlands, 2015.

  1. H. Tyralis, and D. Koutsoyiannis, Simultaneous estimation of the parameters of the Hurst-Kolmogorov stochastic process, Stochastic Environmental Research & Risk Assessment, 25 (1), 21–33, 2011.

    Various methods for estimating the self-similarity parameter (Hurst parameter, H) of a Hurst-Kolmogorov stochastic process (HKp) from a time series are available. Most of them rely on some asymptotic properties of processes with Hurst-Kolmogorov behaviour and only estimate the self-similarity parameter. Here we show that the estimation of the Hurst parameter affects the estimation of the standard deviation, a fact that was not given appropriate attention in the literature. We propose the Least Squares based on Variance estimator, and we investigate numerically its performance, which we compare to the Least Squares based on Standard Deviation estimator, as well as the maximum likelihood estimator after appropriate streamlining of the latter. These three estimators rely on the structure of the HKp and estimate simultaneously its Hurst parameter and standard deviation. In addition, we test the performance of the three methods for a range of sample sizes and H values, through a simulation study and we compare it with other estimators of the literature.

    Additional material:

    See also: http://dx.doi.org/10.1007/s00477-010-0408-x

    Other works that reference this work (this list might be obsolete):

    1. Bakker, A. M. R., and B. J. J. M. van den Hurk, Estimation of persistence and trends in geostrophic wind speed for the assessment of wind energy yields in Northwest Europe, Climate Dynamics, 39 (3-4), 767-782, 2012.
    2. Prass, T. S., J. M. Bravo, R. T. Clarke, W. Collischonn, and S. R. C. Lopes, Comparison of forecasts of mean monthly water level in the Paraguay River, Brazil, from two fractionally differenced models, Water Resour. Res., 48, W05502, doi: 10.1029/2011WR011358, 2012.
    3. Bakker, A., J. Coelingh and B. van den Hurk, Long-term trends in the wind supply in the Netherlands, Proceedings EWEA 2012 Annual Event, Copenhagen, Denmark, 2012.
    4. Navarro, X., F. Porée, A. Beuchée and G. Carrault, Performance analysis of Hurst exponent estimators using surrogate-data and fractional lognormal noise models: Application to breathing signals from preterm infants, Digital Signal Processing, 10.1016/j.dsp.2013.04.007, 2013.
    5. Serinaldi, F., L. Zunino and O. Rosso, Complexity–entropy analysis of daily stream flow time series in the continental United States, Stochastic Environmental Research and Risk Assessment, 28 (7), 1685-1708, 2014.
    6. Szolgayova, E., G. Laaha, G. Blöschl and C. Bucher, Factors influencing long range dependence in streamflow of European rivers, Hydrological Processes, 28 (4), 1573-1586, 2014.
    7. Serinaldi, F., and C.G. Kilsby, The importance of prewhitening in change point analysis under persistence, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-015-1041-5, 2015.

  1. G. Di Baldassarre, A. Montanari, H. F. Lins, D. Koutsoyiannis, L. Brandimarte, and G. Blöschl, Flood fatalities in Africa: from diagnosis to mitigation, Geophysical Research Letters, 37, L22402, doi:10.1029/2010GL045467, 2010.

    Flood-related fatalities in Africa, as well as associated economic losses, have increased dramatically over the past half-century. There is a growing global concern about the need to identify the causes for such increased flood damages. To this end, we analyze a large, consistent and reliable dataset of floods in Africa. Identification of causes is not easy given the diverse economic settings, demographic distribution and hydro-climatic conditions of the African continent. On the other hand, many African river basins have a relatively low level of human disturbance and, therefore, provide a unique opportunity to analyze climatic effects on floods. We find that intensive and unplanned human settlements in flood-prone areas appears to be playing a major role in increasing flood risk. Timely and economically sustainable actions, such as the discouragement of human settlements in flood-prone areas and the introduction of early warning systems are, therefore, urgently needed.

    Remarks:

    The paper has been cited as Editor's Highlight. It has also been discussed in the following weblogs and forums:

    1. Population trends, not climate, causing increased flood fatalities in Africa (AGU Blogosphere)
    2. Flood Losses in Africa (Roger Pielke Jr.'s Blog)
    3. Flood Losses In Africa (repost) (The Global Warming Policy Foundation)
    4. Missing News: Flood damage muted (ABC News Watch)
    5. African Floods Are Not Being Caused By Human CO2 Emissions, Latest Peer-Reviewed Study Reports (C3)
    6. Fatal Floods In Africa (Inside Science)
    7. Fatal floods in Africa (repost) (Carbon-Based)
    8. Carbon-Based: Fatal floods in Africa (repost) (GCC News Brief)
    9. Meer doden door overstromingen: schuld van het klimaat? (Kennislink)
    10. Wetenschappers tegen kolencentrales gebruiken drogreden (Climategate.nl)

    Other reactions in weblogs, forums and Internet resources during 2010 can be seen in:

    Real Science * Google Groups * NewsGuide * Telescopes Astronomy * Daily Science News * EurekAlert! * Keskisuomalainen

    Additional material:

    See also: http://dx.doi.org/10.1029/2010GL045467

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Di Baldassarre, G., G. Schumann, L. Brandimarte and P. Bates, Timely low resolution SAR imagery to support floodplain modelling: a case study review, Surveys in Geophysics, 32 (3), 255-269, 2011.
    2. Padi, P.T., G. Di Baldassarre and A. Castellarin, Floodplain management in Africa: Large scale analysis of flood data, J. Phys. Chem. Earth, 36 (7-8), 292-298, 2011.
    3. Blöschl, G., A. Viglione, R. Merz, J. Parajka, J. L. Salinas, and W. Schöner, Climate impacts on floods and low flows, Osterreichische Wasser- und Abfallwirtschaft, 63 (1), 21-30, 2011.
    4. Di Baldassarre, G., M. Elshamy, A. van Griensven, E. Soliman, M. Kigobe, P. Ndomba, J. Mutemi, F. Mutua, S. Moges, J.-Q. Xuan, D. Solomatine and S. Uhlenbrook, Future hydrology and climate in the River Nile basin: a review, Hydrol. Sci. J., 56(2), 199-211, 2011.
    5. Sivakumar, B., Water crisis: From conflict to cooperation – an overview, Hydrological Sciences Journal, 56(4), 531-552, 2011.
    6. Kiem, A. S., and D. C. Verdon-Kidd, Steps toward “useful” hydroclimatic scenarios for water resource management in the Murray-Darling Basin, Water Resour. Res., 47, W00G06, doi: 10.1029/2010WR009803, 2011.
    7. Di Baldassarre, G., M. Elshamy, A. van Griensven, E. Soliman, M. Kigobe, P. Ndomba, J. Mutemi, F. Mutua, S. Moges, Y. Xuan, D. Solomatine and S. Uhlenbrook, A Critical Discussion of Recent Studies Evaluating the Impacts of Climate Change on Water Resources in the Nile basin, Nile Basin Water Science & Engineering Journal, 4 (2), 94-100, 2011.
    8. Aronica, G.T., A. Candela, P. Fabio and M. Santoro, Estimation of flood inundation probabilities using global hazard indexes based on hydrodynamic variables, Physics and Chemistry of the Earth, 42-44, 119-129, 2012.
    9. Di Baldassarre, G., and S. Uhlenbrook, Is the current flood of data enough? A treatise on research needs for the improvement of flood modelling, Hydrological Processes, 26 (1), 153-158, 2012.
    10. Tramblay, Y., W. Badi, F. Driouech, S. El Adlouni, L. Neppel and E. Servat, Climate change impacts on extreme precipitation in Morocco, Global and Planetary Change, 82-83, 104-114, 2012.
    11. #Blöschl, G., R. Merz, J. Parajka, J. Saunas and A. Viglione, Floods in Austria, Changes of Flood Risk in Europe, IAHS-AISH Publication, (SPEC. ISS. 10), (ed. Z. W. Kundzewicz), 169-177, 2012.
    12. Goula, A. B. T., E. Gneneyougo Soro, W. Kouassi et B. Srohourou, Tendances et ruptures au niveau des pluies journalières extrêmes en Côte d'Ivoire (Afrique de l'Ouest), Hydrological Sciences Journal, 57 (6), 1067-1080, 2012.
    13. IPCC, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (ed. By Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley), Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 pp., 2012.
    14. #Vélez-Upegui, J. J., N. D. Duque-Méndez, F. Mejía-Fernández and M. Orozco-Alzate, Red de monitoreo climático para dar apoyo a la prevención y atención de desastres en Manizales, Colombia, III Congreso de Meteorología Tropical, La Habana, Cuba, 2012.
    15. Panthou, G., T. Vischel, T. Lebel, J. Blanchet, G. Quantin and A. Ali, Extreme rainfall in West Africa: A regional modeling, Water Resour. Res., 48, W08501, doi: 10.1029/2012WR012052, 2012.
    16. #Ridolfi, E., K. Yan, L. Alfonso, G. Di Baldassarre, F. Napolitano, F. Russo and P. D. Bates, An entropy method for floodplain monitoring network design, In Numerical Analysis and Applied Mathematics ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics, AIP Conference Proceedings, Vol. 1479, 1780-1783, 2012.
    17. Cuya, D. G. P., L. Brandimarte, I. Popescu, J. Alterach and M. Peviani, A GIS-based assessment of maximum potential hydropower production in La Plata basin under global changes, Renewable Energy, 50, 103-114, 2013.
    18. Kundzewicz, Z. W., I. Pińskwar and G. R. Brakenridge, Large floods in Europe, 1985–2009, Hydrological Sciences Journal, 58 (1), 1-7, 2013.
    19. Overeem, A., H. Leijnse and R. Uijlenhoet, Country-wide rainfall maps from cellular communication networks, Proceedings of the National Academy of Sciences (PNAS), 110 (8), 2741-2745, 2013.
    20. #Descroix, L., I. B. Moussa, P. Genthon, D. Sighomnou, G. Mahé, I. Mamadou, J.-P. Vandervaere, E. Gautier, O. F. Maiga, J.-L. Rajot, M. M. Abdou, N. Dessay, A. Ingatan, I. Noma, K. S. Yéro, H.Karambiri, R. Fensholt, J. Albergel and J.-C. Olivry, Impact of drought and land use changes on surface water quality and quantity: The Sahelian paradox, Current Perspectives in Contaminant Hydrology and Water Resources Sustainability (P. Bradley Ed.), ISBN: 978-953-51-1046-0, InTech, 10.5772/54536, 2013.
    21. Preston, B. L., K. Dow and F. Berkhout, The climate adaptation frontier, Sustainability, 5, 1011-1035, 2013.
    22. Mahe, G., G. Lienou, L. Descroix, F. Bamba, J. E. Paturel, A. Laraque, M. Meddi, H. Habaieb, O. Adeaga, C. Dieulin, F. Chahnez Kotti and K. Khomsi, The rivers of Africa: witness of climate change and human impact on the environment, Hydrological Processes, 10.1002/hyp.9813, 2013.
    23. Di Baldassarre, G., M. Kooy, J. S. Kemerink and L. Brandimarte, Towards understanding the dynamic behaviour of floodplains as human-water systems, Hydrol. Earth Syst. Sci., 17, 3235-3244, 10.5194/hess-17-3235-2013, 2013.
    24. Di Baldassarre, G., A. Viglione, G. Carr, L. Kuil, J. L. Salinas and G. Blöschl, Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295-3303, 10.5194/hess-17-3295-2013, 2013.
    25. #McAneney, J., R. Crompton, D. McAneney, R. Musulin, G. Walker and R. Pielke Jr., Market-based mechanisms for climate change adaptation: Assessing the potential for and limits to insurance and market based mechanisms for encouraging climate change adaptation, National Climate Change Adaptation Research Facility, Gold Coast, pp. 100, 2013.
    26. Singh, O., and M. Kumar, Flood events, fatalities and damages in India from 1978 to 2006, Natural Hazards, 10.1007/s11069-013-0781-0, 2013.
    27. Tramblay, Y., S. El Adlouni and E. Servat, Trends and variability in extreme precipitation indices over Maghreb countries, Nat. Hazards Earth Syst. Sci., 13, 3235-3248, 2013.
    28. Panthou, G., T. Vischel, T. Lebel, G. Quantin, A. C. Favre Pugin, J. Blanchet and A. Ali, From pointwise testing to a regional vision: an integrated statistical approach to detect non stationarity in extreme daily rainfall. Application to the Sahelian region, Journal of Geophysical Research: Atmospheres, 10.1002/jgrd.50340, 2013.
    29. Roche, K. M., K. J. McAneney, K. Chen, and R. P. Crompton, The Australian great flood of 1954: Estimating the cost of a similar event in 2011, Weather, Climate, and Society, 5 (3), 199-209, 2013.
    30. #Zwiers, F. W., L. V. Alexander, G. C. Hegerl, T. R. Knutson, J. P. Kossin, P. Naveau, N. Nicholls, C. Schar, S. I. Seneviratne and X. Zhang, Challenges in estimating and understanding recent changes in the frequency and intensity of extreme climate and weather events, In Climate Science for Serving Society: Research, Modeling and Prediction Priorities, ed. by G. R. Asrar and J. W. Hurrell, Springer, 2013.
    31. Lüning, H. S., Studies of the past as the key to the future? Geological and historical reconstructions provide valuable support for future trend prediction of natural disasters, Disaster Advances, 6 (10), 1-3, 2013.
    32. #Viglione, A., A. Montanari and G. Blöschl, Challenges of reservoir planning and management in a changing world, Considering Hydrological Change in Reservoir Planning and Management, Proceedings of H09, IAHS-IAPSO-IASPEI Assembly (IAHS Publ. 362), Gothenburg, Sweden, 2013.
    33. Buchecker, M., G. Salvini, G. Di Baldassarre, E. Semenzin, E. Maidl and A. Marcomini, The role of risk perception in making flood risk management more effective, Nat. Hazards Earth Syst. Sci., 13, 3013-3030, 10.5194/nhess-13-3013-2013, 2013.
    34. Ridolfi, E., V. Montesarchio, M.Rianna, S. Sebastianelli, F. Russo and F. Napolitano, Evaluation of rainfall thresholds through entropy: influence of bivariate distribution selection, Irrigation and Drainage, 62 (Suppl. 2), 50–60, 2013.
    35. Overeem, A., H. Leijnse and R. Uijlenhoet, Landsdekkende regenkaarten uit het mobiele telefonienetwerk, WT-Afvalwater, 13 (4), 194-203, 2013.
    36. Amoussou, E., Y. Tramblay, H. S. V. Totin, G. Mahé and P. Camberlin, Dynamique et modélisation des crues dans le bassin du Mono à Nangbéto (Togo/Bénin), Hydrological Sciences Journal, 10.1080/02626667.2013.871015, 2013.
    37. Domeneghetti, Α., S. Gandolfi, A. Castellarin, L. Brandimarte, G. Di Baldassarre, M. Barbarella and A. Brath, Flood risk mitigation in developing countries: deriving accurate topographic data for remote areas under severe time and economic constraints, Journal of Flood Risk Management, 10.1111/jfr3.12095, 2013.
    38. McAneney, J., and R. Crompton, What is driving the rising cost of natural disasters?, Trébol, 67, 4-17, 2013.
    39. Sighomnou, D., L. Descroix, P. Genthon, G. Mahé, I. B. Moussa, E. Gautier, I. Mamadou, J.-P. Vandervaere, T. Bachir, B. Coulibaly, J.-L. Rajot, O. M., Issa, M. M. Abdou, N. Dessay, E. Delaitre, O. F. Maiga, A. Diedhiou, G. Panthou, T. Vischel, H. Yacouba, H. Karambiri, J.-E. Paturel, P. Diello, E. Mougin, L. Kergoat and P. Hiernaux, The Niger River Niamey flood of 2012: The paroxysm of the Sahelian paradox? [La crue de 2012 à Niamey: Un paroxysme du paradoxe du Sahel?], Science et Changements Planetaires – Secheresse, 24 (1), 3-13, 2013.
    40. Hall, J., B. Arheimer, M. Borga, R. Brázdil, P. Claps, A. Kiss, T. R. Kjeldsen, J. Kriaučiūnienė, Z.W. Kundzewicz, M. Lang, M. C. Llasat, N. Macdonald, N. McIntyre, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, C. Neuhold, J. Parajka, R. A. P. Perdigão, L. Plavcová, M. Rogger, J. L. Salinas, E. Sauquet, C. Schär, J. Szolgay, A. Viglione and G. Blöschl, Understanding flood regime changes in Europe: a state-of-the-art assessment, Hydrol. Earth Syst. Sci., 18, 2735-2772, 10.5194/hess-18-2735-2014, 2014.
    41. Aich, V., S. Liersch, T. Vetter, S. Huang, J. Tecklenburg, P. Hoffmann, H. Koch, S. Fournet, V. Krysanova, E. N. Müller and F. F. Hattermann, Comparing impacts of climate change on streamflow in four large African river basins, Hydrol. Earth Syst. Sci. , 18, 1305-1321, 2014.
    42. Ward, P. J., S. Eisner, M. Flörke, M. D. Dettinger and M. Kummu, Annual flood sensitivities to El Niño–Southern Oscillation at the global scale, Hydrol. Earth Syst. Sci., 18, 47-66, 2014.
    43. Kundzewicz, Z.W., S. Kanae, S. I. Seneviratne, J. Handmer, N. Nicholls, P. Peduzzi, R. Mechler, L. M. Bouweri, N. Arnell, K. Mach, R. Muir-Wood, G. R. Brakenridge, W. Kron, G. Benito, Y. Honda, K. Takahashi, and B. Sherstyukov, Flood risk and climate change: global and regional perspectives, Hydrological Sciences Journal, 10.1080/02626667.2013.857411, 2014.
    44. Hailemariam, F. M., L. Brandimarte and F. Dottori, Investigating the influence of minor hydraulic structures on modeling flood events in low land areas, Hydrological Processes, 28 (4), 1742-1755, 2014.
    45. Harman, C., and P. A. Troch, What makes Darwinian hydrology "Darwinian"? Asking a different kind of question about landscapes, Hydrol. Earth Syst. Sci. , 18, 417-433, doi: 10.5194/hess-18-417-2014, 2014.
    46. Sivapalan, M., M. Konar, V. Srinivasan, A. Chhatre, A. Wutich, C. A. Scott, J. L. Wescoat, I. Rodríguez-Iturbe, Socio-hydrology: use-inspired water sustainability science for the anthropocene, Earth's Future, 10.1002/2013EF000164, 2014.
    47. Md Ali, A., G. Di Baldassarre and D. P. Solomatine, Testing different cross-section spacing in 1D hydraulic modelling: A case study on Johor River, Malaysia, Hydrological Sciences Journal, 10.1080/02626667.2014.889297, 2014.
    48. Panthou, G., T. Vischel and T. Lebel, Recent trends in the regime of extreme rainfall in the Central Sahel, International Journal of Climatology, 10.1002/joc.3984, 2014.
    49. #Kiem, A. S., Climate variability and change, ch. 2 in Climate Change and Water Resources, 31-67, 2014.
    50. Beven, K., R. Lamb, D. Leedal and N. Hunter, Communicating uncertainty in flood inundation mapping: a case study, International Journal of River Basin Management, 10.1080/15715124.2014.917318, 2014.
    51. Panthou, G., T. Vischel, T. Lebel, G.Quantin and G. Molinié, Characterizing the space–time structure of rainfall in the Sahel with a view to estimating IDAF curves, Hydrol. Earth Syst. Sci. ,18 (12) 5093-5107, DOI: 10.5194/hess-18-5093-2014, 2014.
    52. Tramblay, Y., E. Amoussou, W. Dorigo and G. Mahé, Flood risk under future climate in data sparse regions: Linking extreme value models and flood generating processes, Journal of Hydrology, 519A, 549-558, 2014.
    53. Mazzoleni, M., S. Barontini, R. Ranzi and L. Brandimarte, Innovative probabilistic methodology for evaluating the reliability of discrete levee reaches owing to piping, J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0001055, 2014.
    54. Aich, V., B. Koné, F. F. Hattermann and E. N. Müller, Floods in the Niger basin – analysis and attribution, Nat. Hazards Earth Syst. Sci. Discuss., 2, 5171-5212, 10.5194/nhessd-2-5171-2014, 2014.
    55. Ceola, S., F. Laio and A. Montanari, Satellite night‐time lights reveal increasing human exposure to floods worldwide, Geophysical Research Letters, 10.1002/2014GL061859, 2014.
    56. Amoussou, E., Y. Tramblay, H. S. V. Totin, G. Mahé and P. Camberlin, Dynamics and modelling of floods in the river basin of Mono in Nangbeto, Togo/Benin, Hydrological Sciences Journal, 59 (11), 2060-2071, 2014.
    57. #van der Geest, K., and K. Warner, Loss and damage from droughts and floods in rural Africa, in Digging Deeper: Inside Africa’s Agricultural, Food and Nutrition Dynamics (ed. by A.Akinyoade, W. Klaver and S. Soeters, Brill, Leiden, The Netherlands, 2014.
    58. Collenteur, R. A., H. de Moel, B. Jongman, and G.Di Baldassarre, The failed-levee effect: Do societies learn from flood disasters?, Natural Hazards, 10.1007/s11069-014-1496-6, 2014.
    59. Ceola, S., F. Laio and A. Montanari, Satellite nighttime lights reveal increasing human exposure to floods worldwide, Geophysical Research Letters, 41 (20), 7184-7190, 2014.
    60. Mateo, C. M., N. Hanasaki, D. Komori, K. Tanaka, M. Kiguchi, A. Champathong, D. Yamazaki and T. Oki, Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models, Water Resources Research, 10.1002/2013WR014845, 2014.
    61. Amoussou, E., Analyse hydrométéorologique des crues dans le bassin-versant du Mono en Afrique de l’Ouest avec un modèle conceptuel pluie-débit. FMSH-WP-2015-90, halshs-01143318, 2014.
    62. Aich, V., B. Koné, F.F. Hattermann and E.N. Müller, Floods in the Niger basin – analysis and attribution, Nat. Hazards Earth Syst. Sci. Discuss., 2, 5171-5212, 10.5194/nhessd-2-5171-2014, 2014.
    63. Horváth, Z., J. Waser, R.A.P. Perdigão, A. Konev and G. Blöschl, A two-dimensional numerical scheme of dry/wet fronts for the Saint-Venant system of shallow water equations, International Journal for Numerical Methods in Fluids, 77 (3), 159-182, 2015.
    64. Andrés-Doménech, I., R. García-Bartual, A. Montanari and J. B. Marco, Climate and hydrological variability: the catchment filtering role, Hydrol. Earth Syst. Sci., 19 (1), 379-387, 2015.
    65. Billi, P., Y.T. Alemu and R. Ciampalini, Increased frequency of flash floods in Dire Dawa, Ethiopia: Change in rainfall intensity or human impact?, Natural Hazards, 76 (2), 1373-1394, 2015.
    66. Rodríguez-Rincón, J.P., A. Pedrozo-Acuña and J.A. Breña-Naranjo, Propagation of hydro-meteorological uncertainty in a model cascade framework to inundation prediction, Hydrology and Earth System Sciences, 19 (7), 2981-2998, 2015.
    67. Vogel, R.M., U. Lall, X. Cai, B. Rajagopalan, P.K. Weiskel, R.P. Hooper and N.C. Matalas, Hydrology: The interdisciplinary science of water, Water Resources Research, 51 (6), 4409-4430, 2015.
    68. Teng, J., J. Vaze, D. Dutta and S. Marvanek, Rapid inundation modelling in large floodplains using LiDAR DEM, Water Resources Management, 29 (8), 2619-2636, 10.1007/s11269-015-0960-8, 2015.
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    75. Idris, S., and L.M. Dharmasiri, Flood risk inevitability and flood risk management in urban areas: A review, Journal of Geography and Regional Planning, 8 (8), 205-209, DOI: 10.5897/JGRP2015.0510, 2015.
    76. Di Baldassarre, G., L. Brandimarte, and K. Beven, The seventh facet of uncertainty: wrong assumptions, unknowns and surprises in the dynamics of human-water systems, Hydrological Sciences Journal, doi:10.1080/02626667.2015.1091460, 2015.

  1. E. Rozos, and D. Koutsoyiannis, Error analysis of a multi-cell groundwater model, Journal of Hydrology, 392 (1-2), 22–30, 2010.

    The basic advantages of the multi-cell groundwater models are the parsimony, speed, and simplicity that make them ideal for hydrological applications, particularly when data are insufficient and/or repeated simulations are needed. However, the multi-cell models, in their basic version, are conceptual models and their parameters do not have physical meaning. This disadvantage may be overcome by the Narasimhan and Witherspoon’s integrated finite difference method, which, however, demands that the cells’ geometry conforms to the equipotential and no-flow lines. This restriction cannot be strictly satisfied in every application. Particularly in transient conditions, a mesh with static geometry cannot conform constantly to the varying flow kinematics. In this study, we analyse the error when this restriction is not strictly satisfied and we identify the contribution of this error to the overall error of a multi-cell model. The study is experimental based on a synthetic aquifer with characteristics carefully selected so as to be representative of real-world situations, but obviously the results of these investigations cannot be generalized to every type of aquifer. Nonetheless these results indicate that the error due to non-conformity to the aforementioned restriction plays a minor role in the overall model error and that the overall error of the multi-cell models with conditionally designed cells is comparable to the error of finite difference models with much denser discretization. Therefore the multi-cell models should be considered as an alternative option, especially in the cases where a discretization with a flexible mesh is indicated or in the cases where repeated model runs are required.

    Additional material:

    See also: http://dx.doi.org/10.1016/j.jhydrol.2010.07.036

    Other works that reference this work (this list might be obsolete):

    1. #SIRRIMED (Sustainable use of irrigation water in the Mediterranean Region), D4.2 and D5.2 Report on Models to be Implemented in the District Information Systems (DIS) and Watershed Information Systems (WIS), 95 pp., Universidad Politécnica de Cartagena, 2011.
    2. Muhammed Ernur AKINER, (2014) Developing a Groundwater Model for the Town of Amherst, OURNAL OF ECOLOGY AND ENVIRONMENTAL SCIENCES, Vol 2, No 4.
    3. L Doddema, The influence of reservoir heterogeneities on geothermal doublet performance, 2012

  1. G. G. Anagnostopoulos, D. Koutsoyiannis, A. Christofides, A. Efstratiadis, and N. Mamassis, A comparison of local and aggregated climate model outputs with observed data, Hydrological Sciences Journal, 55 (7), 1094–1110, doi:10.1080/02626667.2010.513518, 2010.

    We compare the output of various climate models to temperature and precipitation observations at 55 points around the globe. We spatially aggregate model output and observations over the contiguous USA using data from 70 stations, and we perform comparison at several temporal scales, including a climatic (30-year) scale. Besides confirming the findings of a previous assessment study that model projections at point scale are poor, results show that the spatially integrated projections do not correspond to reality any better.

    Remarks:

    The paper has been discussed in weblogs and forums.

    Weblogs and forums that discussed this article during 2010:

    1. Very Important New Paper “A Comparison Of Local And Aggregated Climate Model Outputs With Observed Data” By Anagnostopoulos Et Al 2010 (Climate Science: Roger Pielke Sr.)
    2. New peer reviewed paper shows just how bad the climate models really are (Watts Up With That?)
    3. Missing News: No skill in climate modelling (ABC News Watch)
    4. Missing News: Climate models disputed (ABC News Watch)
    5. New peer reviewed paper shows just how bad the climate models really are (repost 1) (Countdown to critical mass)
    6. New peer reviewed paper shows just how bad the climate models really are (repost2 ) (Climate Observer)
    7. New Major Peer-Reviewed Study: Climate Models' Predictions Found To Be Shitty (C3)
    8. New peer reviewed paper shows just how bad the climate models really are - A response to the Climate Change Misinformation at wattsupwiththat.com (Wott's Up With That?)
    9. Climate model abuse (Niche Modeling)
    10. Very Important New Paper on models versus reality (Greenie Watch)
    11. New paper shows that there is no means of reliably predicting climate variables (Greenie Watch 2)
    12. A comparison of local and aggregated climate model outputs with observed data (Fire And Ice)
    13. Peer Reviewed Study States The Obvious (US Message Board)
    14. Climate models don’t work, in hindsight (Herald Sun Andrew Bolt Blog)
    15. Climate models don’t work, in hindsight (repost) (The Daily Telegraph)
    16. No abuse hides the fact:  warmist models cannot even predict our past (Herald Sun Andrew Bolt Blog 2)
    17. No abuse hides the fact: the warmist models cannot even predict our past (PA Pundits – International)
    18. Aussie rains – IPCC models are bunkum, Energy tsunami, CCNet updates, Exit EU petition (clothcap)
    19. Aussie rains – IPCC models are bunkum, Energy tsunami, CCNet updates, Exit EU petition (repost) (My Telegraph)
    20. Science not politics (ecomyths)
    21. More evidence that Global Climate computer models are worthless (Tucano's Perch)
    22. Model skill? (Retread Resources Blog)
    23. Estudo sobre modelos climáticos (MeteoPT.com - Fórum de Meteorologia)
    24. Strategie di verifica delle prestazioni dei GCM, i risultati degli idrologi dell’università di Atene (Climate Monitor)
    25. Strategie di verifica delle prestazioni dei GCM, i risultati degli idrologi dell’università di Atene (repost) (Blog All Over The World)
    26. Klima - spådommer og målinger (ABC News)
    27. "Scam for the Ages" Makes Madoff Look Like Small Change (Al Fin)
    28. Teoria do AGA: um passado duvidoso, um presente mal contado e um futuro pior ainda. (Sou Engenheiro)

    Related works:

    • [359] Credibility of climate predictions revisited (predecessor presentation)
    • [76] On the credibility of climate predictions (previous related publication)

    Full text: http://www.itia.ntua.gr/en/getfile/978/1/documents/928051726__.pdf (1309 KB)

    Additional material:

    See also: http://dx.doi.org/10.1080/02626667.2010.513518

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

    1. Kundzewicz, Z. W., and E. Z. Stakhiv, Are climate models “ready for prime time” in water resources management applications, or is more research needed? Hydrological Sciences Journal, 55(7), 1085–1089, 2010.
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  1. D. Koutsoyiannis, Z. W. Kundzewicz, F. Watkins, and C. Gardner, Something old, something new, something red, something blue, Hydrological Sciences Journal, 55 (1), 1–3, 2010.

    Full text: http://www.itia.ntua.gr/en/getfile/959/1/documents/2010HSJ_Editorial.pdf (340 KB)

    See also: http://dx.doi.org/10.1080/02626660903525294

    Other works that reference this work (this list might be obsolete):

    1. Di Baldassarre, G., M. Elshamy, A. van Griensven, E. Soliman, M. Kigobe, P. Ndomba, J. Mutemi, F. Mutua, S. Moges, J.-Q. Xuan, D. Solomatine and S. Uhlenbrook, Future hydrology and climate in the River Nile basin: a review, Hydrol. Sci. J., 56(2), 199-211, 2011.
    2. Re, V., and & G. M. Zuppi, Influence of precipitation and deep saline groundwater on the hydrological systems of Mediterranean coastal plains: a general overview, Hydrol. Sci. J., 56 (6), 966–980, 2011.

  1. A. Efstratiadis, and D. Koutsoyiannis, One decade of multiobjective calibration approaches in hydrological modelling: a review, Hydrological Sciences Journal, 55 (1), 58–78, 2010.

    One decade after the first publications on multiobjective hydrological calibration, we summarize the experience gained so far, by underlining the key perspectives offered by such approaches to improve parameter identifiability. After reviewing the fundamentals of vector optimization theory and the algorithmic issues, we link the multicriteria calibration approach with the concepts of uncertainty and equifinality. Specifically, the multicriteria framework enables recognizing and handling errors and uncertainties, and detecting prominent behavioural solutions with acceptable trade-offs. Particularly in models of complex parameterization, a multiobjective approach becomes essential for improving the identifiability of parameters and augmenting the information contained in calibration, by means of both multiresponse measurements and empirical metrics (“soft” data), which account for the hydrological expertise. Based on the literature review, we also provide alternative techniques to treat with conflicting and non-commeasurable criteria, and hybrid strategies to utilize the information gained towards identifying promising compromise solutions that ensure consistent and reliable calibrations.

    Full text: http://www.itia.ntua.gr/en/getfile/924/2/documents/919806565_.pdf (290 KB)

    Additional material:

    See also: http://dx.doi.org/10.1080/02626660903526292

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

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  1. D. Koutsoyiannis, A random walk on water, Hydrology and Earth System Sciences, 14, 585–601, doi:10.5194/hess-14-585-2010, 2010.

    According to the traditional notion of randomness and uncertainty, natural phenomena are separated into two mutually exclusive components, random (or stochastic) and deterministic. Within this dichotomous logic, the deterministic part supposedly represents cause-effect relationships and, thus, is physics and science (the “good”), whereas randomness has little relationship with science and no relationship with understanding (the “evil”). Here I argue that such views should be reconsidered by admitting that uncertainty is an intrinsic property of nature, that causality implies dependence of natural processes in time, thus suggesting predictability, but even the tiniest uncertainty (e.g., in initial conditions) may result in unpredictability after a certain time horizon. On these premises it is possible to shape a consistent stochastic representation of natural processes, in which predictability (suggested by deterministic laws) and unpredictability (randomness) coexist and are not separable or additive components. Deciding which of the two dominates is simply a matter of specifying the time horizon and scale of the prediction. Long horizons of prediction are inevitably associated with high uncertainty, whose quantification relies on the long-term stochastic properties of the processes.

    Remarks:

    Blog posts and discussions can be seen in Outside the Cube, Climate Science: Roger Pielke Sr., Retread Resources Blog, William M. Briggs, Niche Modeling 1, Niche Modeling 2, The Blackboard 1, The Blackboard 2, The Blackboard 3, Climate Audit, Bart Verheggen's weblog.

    Erratum in p. 589, left column, around the middle: the line "Eq. (1) (but not in Eq. (1), which represents..." should read "Eq. (2) (but not in Eq. (1), which represents...".

    Related works:

    • [361] Predecessor talk (Henry Darcy Medal Lecture)

    Full text: http://www.itia.ntua.gr/en/getfile/923/1/documents/hess-14-585-2010.pdf (4499 KB)

    Additional material:

    See also: http://dx.doi.org/10.5194/hess-14-585-2010

    Works that cite this document: View on Google Scholar, ResearchGate or ResearchGate (additional)

    Other works that reference this work (this list might be obsolete):

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    17. Ramos, M. H., S. J. van Andel and F. Pappenberger, Do probabilistic forecasts lead to better decisions?, Hydrol. Earth Syst. Sci., 17, 2219-2232, 10.5194/hess-17-2219-2013, 2013.
    18. Beven, K., So how much of your error is epistemic? Lessons from Japan and Italy, Hydrological Processes, 27 (11), 1677-168, 2013.
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    21. Hrachowitz, M., H.H.G. Savenije, G. Blöschl, J.J. McDonnell, M. Sivapalan, J.W. Pomeroy, B. Arheimer, T. Blume, M.P. Clark, U. Ehret, F. Fenicia, J.E. Freer, A. Gelfan, H.V. Gupta, D.A. Hughes, R.W. Hut, A. Montanari, S. Pande, D. Tetzlaff, P.A. Troch, S. Uhlenbrook, T. Wagener, H.C. Winsemius, R.A. Woods, E. Zehe, and C. Cudennec, A decade of Predictions in Ungauged Basins (PUB) — a review, Hydrological Sciences Journal, 58(6), 1198-1255, 2013.
    22. Thompson, S. E., M. Sivapalan, C. J. Harman, V. Srinivasan, M. R. Hipsey, P. Reed, A. Montanari and G. and Blöschl, Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17, 5013-5039, 2013.
    23. Beven, K., and P. Young, A guide to good practice in modelling semantics for authors and referees, Water Resources Research, 10.1002/wrcr.20393, 2013.
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    28. Ehret, U., H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff and H. C. Winsemius, Advancing catchment hydrology to deal with predictions under change, Hydrol. Earth Syst. Sci., 18, 649-671, 2014.
    29. Honti, M., A. Scheidegger, and C. Stamm, The importance of hydrological uncertainty assessment methods in climate change impact studies, Hydrology and Earth System Sciences, 18, 3301-3317, 10.5194/hess-18-3301-2014, 2014.
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  1. S. Grimaldi, D. Koutsoyiannis, D. Piccolo, and A. Schumann, Guest Editorial—Recent developments of statistical tools for hydrological application, Physics and Chemistry of the Earth, 34 (10-12), 595, 2009.

    Full text: http://www.itia.ntua.gr/en/getfile/922/1/documents/2009PCE_SpecialIssue_GuestEditorial_.pdf (92 KB)

    See also: http://dx.doi.org/10.1016/j.pce.2009.06.005

    Other works that reference this work (this list might be obsolete):

    1. Pappadà, R., E. Perrone, F. Durante and G. Salvadori, Spin-off Extreme Value and Archimedean copulas for estimating the bivariate structural risk, Stochastic Environmental Research and Risk Assessment, 10.1007/s00477-015-1103-8, 2015.

  1. D. Koutsoyiannis, A. Montanari, H. F. Lins, and T.A. Cohn, Climate, hydrology and freshwater: towards an interactive incorporation of hydrological experience into climate research—DISCUSSION of “The implications of projected climate change for freshwater resources and their management”, Hydrological Sciences Journal, 54 (2), 394–405, doi:10.1623/hysj.54.2.394, 2009.

    Remarks:

    A weblog discussion can be seen in Climate Science.

    The original article discussed in this paper can be found in Hydrological Sciences Journal 53 (1).

    Full text: http://www.itia.ntua.gr/en/getfile/907/1/documents/hysj_54_2_394.pdf (643 KB)

    Additional material:

    See also: http://dx.doi.org/10.1623/hysj.54.2.394

    Works that cite this document: View on Google Scholar or ResearchGate

    Other works that reference this work (this list might be obsolete):

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