Climate, hydrology, energy, water: recognizing uncertainty and seeking sustainability

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.

[doc_id=878]

[English]

Since 1990 extensive funds have been spent on research in climate change. Although Earth Sciences, including climatology and hydrology, have benefited significantly, progress has proved incommensurate with the effort and funds, perhaps because these disciplines were perceived as “tools” subservient to the needs of the climate change enterprise rather than autonomous sciences. At the same time, research was misleadingly focused more on the “symptom”, i.e. the emission of greenhouse gases, than on the “illness”, i.e. the unsustainability of fossil fuel-based energy production. Unless energy saving and use of renewable resources become the norm, there is a real risk of severe socioeconomic crisis in the not-too-distant future. A framework for drastic paradigm change is needed, in which water plays a central role, due to its unique link to all forms of renewable energy, from production (hydro and wave power) to storage (for time-varying wind and solar sources), to biofuel production (irrigation). The extended role of water should be considered in parallel to its other uses, domestic, agricultural and industrial. Hydrology, the science of water on Earth, must move towards this new paradigm by radically rethinking its fundamentals, which are unjustifiably trapped in the 19th-century myths of deterministic theories and the zeal to eliminate uncertainty. Guidance is offered by modern statistical and quantum physics, which reveal the intrinsic character of uncertainty/entropy in nature, thus advancing towards a new understanding and modelling of physical processes, which is central to the effective use of renewable energy and water resources.

PDF Full text (1476 KB)

PDF Additional material:

See also: http://dx.doi.org/10.5194/hess-13-247-2009

Related works:

Remarks:

Blogs and forums that have discussed this article: Climate science; Vertical news; Outside the cube.

Update 2011-09-26: The removed video of the panel discussion of Nobelists entitled “Climate Changes and Energy Challenges” (held in the framework of the 2008 Meeting of Nobel Laureates at Lindau on Physics) which is referenced in footnote 1 of the paper, still cannot be located online. However, Larry Gould has an audio file of the discussion here.

Our works referenced by this work:

1. 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.
2. 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.
3. 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.
4. 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.
5. D. Koutsoyiannis, Nonstationarity versus scaling in hydrology, Journal of Hydrology, 324, 239–254, doi:10.1016/j.jhydrol.2005.09.022, 2006.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. D. Koutsoyiannis, A. Efstratiadis, N. Mamassis, and A. Christofides, On the credibility of climate predictions, Hydrological Sciences Journal, 53 (4), 671–684, doi:10.1623/hysj.53.4.671, 2008.
12. 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.

Our works that reference this work:

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.
2. A. Efstratiadis, and N. Mamassis, Evaluating models or evaluating modelling practices? - Interactive comment on HESS Opinions “Crash tests for a standardized evaluation of hydrological models”, Hydrology and Earth System Sciences Discussions, 6, C1404–C1409, 2009.
3. 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.
4. 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.
5. 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.
6. 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, doi:10.1080/02626667.2011.610759, 2011.
7. I. Koutiva, and C. Makropoulos, Towards adaptive water resources management: simulating the complete socio-technical system through computational intelligence, Proceedings of the 12th International Conference on Environmental Science and Technology, A998–A1006, Rhodes, 2011.
8. 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.
9. S. Baki, I. Koutiva, and C. Makropoulos, A hybrid artificial intelligence modelling framework for the simulation of the complete, socio-technical, urban water system, 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Leipzig, International Environmental Modelling and Software Society, 2012.
10. D. Koutsoyiannis, Hydrology and Change, Hydrological Sciences Journal, 58 (6), 1177–1197, doi:10.1080/02626667.2013.804626, 2013.
11. 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.
12. 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.
13. 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.
14. D. Koutsoyiannis, Reconciling hydrology with engineering, Hydrology Research, 45 (1), 2–22, doi:10.2166/nh.2013.092, 2014.
15. 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.
16. 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.
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. E. Moschos, G. Manou, P. Dimitriadis, V. Afendoulis, D. Koutsoyiannis, and V. Tsoukala, Harnessing wind and wave resources for a Hybrid Renewable Energy System in remote islands: a combined stochastic and deterministic approach, Energy Procedia, 125, 415–424, doi:10.1016/j.egypro.2017.08.084, 2017.
19. G. Papacharalampous, H. Tyralis, D. Koutsoyiannis, and A. Montanari, Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale, Advances in Water Resources, 136, 103470, doi:10.1016/j.advwatres.2019.103470, 2020.
20. N. Mamassis, A. Efstratiadis, P. Dimitriadis, T. Iliopoulou, R. Ioannidis, and D. Koutsoyiannis, Water and Energy, Handbook of Water Resources Management: Discourses, Concepts and Examples, edited by J.J. Bogardi, T. Tingsanchali, K.D.W. Nandalal, J. Gupta, L. Salamé, R.R.P. van Nooijen, A.G. Kolechkina, N. Kumar, and A. Bhaduri, Chapter 20, 617–655, doi:10.1007/978-3-030-60147-8_20, Springer Nature, Switzerland, 2021.
21. A. Efstratiadis, I. Tsoukalas, and D. Koutsoyiannis, Generalized storage-reliability-yield framework for hydroelectric reservoirs, Hydrological Sciences Journal, 66 (4), 580–599, doi:10.1080/02626667.2021.1886299, 2021.
22. D. Koutsoyiannis, and G.-F. Sargentis, Entropy and wealth, Entropy, 23 (10), 1356, doi:10.3390/e23101356, 2021.
23. G.-K. Sakki, I. Tsoukalas, P. Kossieris, C. Makropoulos, and A. Efstratiadis, Stochastic simulation-optimisation framework for the design and assessment of renewable energy systems under uncertainty, Renewable and Sustainable Energy Reviews, 168, 112886, doi:10.1016/j.rser.2022.112886, 2022.
24. G.-K. Sakki, A. Efstratiadis, and C. Makropoulos, Stress-testing for water-energy systems by coupling agent-based models, Proceedings of 7th IAHR Europe Congress "Innovative Water Management in a Changing Climate”, Athens, 402–403, International Association for Hydro-Environment Engineering and Research (IAHR), 2022.
25. G.-F. Sargentis, N. D. Lagaros, G.L. Cascella, and D. Koutsoyiannis, Threats in Water–Energy–Food–Land Nexus by the 2022 Military and Economic Conflict, Land, doi:10.3390/land11091569, 2022.
26. G.-F. Sargentis, and D. Koutsoyiannis, The function of money in water–energy–food and land nexus, Land, 12 (3), 669, doi:10.3390/land12030669, 2023.
27. A. Zisos, G.-K. Sakki, and A. Efstratiadis, Mixing renewable energy with pumped hydropower storage: Design optimization under uncertainty and other challenges, Sustainability, 15 (18), 13313, doi:10.3390/su151813313, 2023.
28. A. Efstratiadis, and G.-K. Sakki, The water-energy nexus as sociotechnical system under uncertainty, Elgar Encyclopedia of Water Policy, Economics and Management, edited by P. Kountouri and A. Alamanos, Chapter 64, 279–283, doi:10.4337/9781802202946.00071, 2024.
29. G.-F. Sargentis, N. Mamassis, O. Kitsou, and D. Koutsoyiannis, The role of technology in the water–energy–food nexus. A case study: Kerinthos, North Euboea, Greece, Frontiers in Water, 6, 1343344, doi:10.3389/frwa.2024.1343344, 2024.

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

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

1. Andréassian, V., C. Perrin, L. Berthet, N. Le Moine, J. Lerat, C. Loumagne, L. Oudin, T. Mathevet, M.-H. Ramos, and A. Valéry, HESS Opinions "Crash tests for a standardized evaluation of hydrological models", Hydrology and Earth System Sciences, 13, 1757-1764, 2009.
2. Hunt, D. V. L., I. Jefferson, M. R. Gaterell, and C. D. F. Rogers, Planning for sustainable utility infrastructure, Proceedings of the Institution of Civil Engineers – Urban Design and Planning, 162(DP4), 187-201, 2009.
3. Makropoulos, C. K., and D. Butler, Distributed water infrastructure for sustainable communities, Water Resources Management, 24(11), 2795-2816, 2010.
4. Jódar, J., J. Carrera, and A. Cruz, Irrigation enhances precipitation at the mountains downwind, Hydrology and Earth System Sciences, 14, 2003-2010, 2010.
5. #Ladanai, S., and J. Vinterbäck, Biomass for Energy versus Food and Feed, Land Use Analyses and Water Supply, Report 022, Swedish University of Agricultural Sciences, ISSN 1654-9406, Uppsala, 2010.
6. Ward, J. D., A. D. Werner, W. P. Nel, and S. Beecham, The influence of constrained fossil fuel emissions scenarios on climate and water resource projections, Hydrology and Earth System Sciences, 15, 1879-1893, 2011.
7. #Montanari, A, Uncertainty of hydrological predictions, In: P. Wilderer (ed.) Treatise on Water Science, Vol. 2, 459–478, Oxford Academic Press, 2011.
8. #Willems, P., J. Olsson, K. Arnbjerg-Nielsen, S. Beecham, A. Pathirana, I. Bulow Gregersen, H. Madsen, V.-T.-V. Nguyen, Practices and Impacts of Climate Change on Rainfall Extremes and Urban Drainage, IWA Publishing, London, 2012.
9. Andrés-Doménech, I., A. Montanari and J. B. Marco, Efficiency of storm detention tanks for urban drainage systems under climate variability, Journal of Water Resources Planning and Management, 138 (1), 36-46, 2012.
10. 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.
11. Voulvoulis, N., Water and sanitation provision in a low carbon society: The need for a systems approach, Journal of Renewable and Sustainable Energy, 4(4), 041403, doi:10.1063/1.3665797, 2012.
12. #Skaggs, R., K. A. Hibbard, T. C. Janetos, and J. S. Rice, Climate and energy-water-land system interactions, Technical report to the U.S. Department of Energy in Support of the National Climate Assessment, Report No. PNNL-21185, Pacific Northwest National Laboratory, Richland, WA, 152 pp., 2012.
13. 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.
14. Nastos, P. T., N. Politi, and J. Kapsomenakis, Spatial and temporal variability of the aridity index in Greece, Atmospheric Research, 19, 140-152, 2013.
15. 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.
16. 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, Hydrology and Earth System Sciences, 17, 5013-5039, 2013.
17. #Voulvoulis, N., The potential of water reuse as a management option for water security under the ecosystem services approach, Win4Life Conference, Tinos Island, Greece, 2013.
18. Dette, H., and K. Sen, Goodness-of-fit tests in long-range dependent processes under fixed alternatives, ESAIM: Probability and Statistics, 17, 432-443, 2013.
19. Ilich, N., An effective three-step algorithm for multi-site generation of stochastic weekly hydrological time series, Hydrological Sciences Journal, 59 (1), 85-98, 2014.
20. Jain, S., Reference climate and water data networks for India, Journal of Hydrologic Engineering, 20(4), 02515001, doi:10.1061/(ASCE)HE.1943-5584.0001170, 2015.
21. Voulvoulis, N., The potential of water reuse as a management option for water security under the ecosystem services approach, Desalination and Water Treatment, 53 (12), 3263-3271, doi:10.1080/19443994.2014.934106, 2015.
22. #Rohli, R. V., Overview of applied climatology and water/energy resources, Selected Readings in Applied Climatology, R. V. Rohli and T. A. Joyner (editors), 144-155, Cambridge Scholars Publishing, 2015.
23. #Kim, S.S.H., J.D. Hughes, D. Dutta, and J. Vaze, Why do sub-period consistency calibrations outperform traditional optimisations in streamflow prediction? Proceedings of 21st International Congress on Modelling and Simulation, 2061-2067, Gold Coast, Australia, 2015.
24. Kim, S. S. H., J. D. Hughes, J. Chen, D. Dutta, and J. Vaze, Determining probability distributions of parameter performances for time-series model calibration: A river system trial, Journal of Hydrology, 530, 361–371, doi:10.1016/j.jhydrol.2015.09.073, 2015.
25. Clark, C., Two rural temperature records in Somerset, UK, Weather, 70(10), 280-284, doi:10.1002/wea.2512, 2015.
26. Tsonis, A. A., Randomness: a property of the mathematical and physical systems, Hydrological Sciences Journal, 61(9), 1591-1610, doi:10.1080/02626667.2014.992434, 2016.
27. 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, 61(9), 1748-1758, doi:10.1080/02626667.2015.1091460, 2016.
28. Chrs, C. C., Models, the establishment, and the real world: Why do so many flood problems remain in the UK?, Journal of Geoscience and Environment Protection, 5, 44-59, doi:10.4236/gep.2017.52004, 2017.
29. Vogel, M., Stochastic watershed models for hydrologic risk management, Water Security, 1, 28-35, doi:10.1016/j.wasec.2017.06.001, 2017.
30. Madani, E. M., P. E. Jansson, and I. Babelon, Differences in water balance between grassland and forest watersheds using long-term data, derived using the CoupModel, Hydrology Research, 49(1), 72-89, doi:10.2166/nh.2017.154, 2018.
31. #Oliveira da Silva Araújo, R. C., L. Gomes Lourenço, O. Siena, and C. A. da Silva Müller, Inovação e sustentabilidade na produção e uso de energia: uma meta-análise, Sustentabilidade e Responsabilidade Social em Foco – Volume 4, Capítulo 3, Organização Editora Poisson, doi:10.5935/978-85-93729-64-5.2018B001, 2018.
32. Biondi, D., and E. Todini, Comparing hydrological post‐processors including ensembles predictions into full predictive probability distribution of streamflow, Water Resources Research, 54(12), 9860-9882, doi:10.1029/2017WR022432, 2018.
33. Dahlke, H. E., G. T. LaHue, M. R. L. Mautner, N. P. Murphy, N. K. Patterson, H. Waterhouse, F. Yang, and L. Foglia, Managed aquifer recharge as a tool to enhance sustainable groundwater management in California: Examples from field and modeling studies, Advances in Chemical Pollution, Environmental Management and Protection, 3, 215-275, doi:10.1016/bs.apmp.2018.07.003, 2018.
34. Giudici, F., A. Castelletti, E. Garofalo, M. Giuliani, and H. R. Maier, Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands, Applied Energy, 250, 605-616, doi:10.1016/j.apenergy.2019.05.084, 2019.
35. Tzanakakis, V. A., A. N. Angelakis, N. V. Paranychianakis, Y. G. Dialynas, and G. Tchobanoglous, Challenges and opportunities for sustainable management of water resources in the island of Crete, Greece, Water, 12(6), 1538, doi:10.3390/w12061538, 2020.
36. Ayzel, G., L. Kurochkina, and S. Zhuravlev, The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff, Hydrological Sciences Journal, doi:10.1080/02626667.2020.1762886, 2020.
37. Yang, W., F. Jin, Y. Si, and Z. Li, Runoff change controlled by combined effects of multiple environmental factors in a headwater catchment with cold and arid climate in northwest China, Science of The Total Environment, 756, 143995, doi:10.1016/j.scitotenv.2020.143995, 2021.
38. Kourgialas, N. N., A critical review of water resources in Greece: The key role of agricultural adaptation to climate-water effects, Science of the Total Environment, 775, 145857, doi:10.1016/j.scitotenv.2021.145857, 2021.
39. #Eslamian S., and S. Parvizi, Engineering Hydrology: Impact on Sustainable Development, Climate Action, Encyclopedia of the UN Sustainable Development Goals, Leal Filho W., Azul A.M., Brandli L., Özuyar P.G., Wall T. (eds), Springer, Cham, doi:10.1007/978-3-319-71063-1_134-1, 2021.
40. Lemonis, A. S. Skroufouta, and E. Baltas, An economic evaluation towards sustainability: The case of a hybrid renewable energy system in Greece, American Journal of Environmental and Resource Economics, 7(1), 37-47, doi:10.11648/j.ajere.20220701.15, 2022.
41. Cui, Y., J. Jin, X. Bai, S. Ning, L. Zhang, C. Wu, and Y. Zhang, Quantitative evaluation and obstacle factor diagnosis of agricultural drought disaster risk using connection number and information entropy, Entropy, 24(7), 872, doi:10.3390/e24070872, 2022.
42. Antwi, K., G. Adu, S. Adu, and J. Appiah-Yeboah, Physical and fuel properties of Bambusa Vulgaris of different age groups and their effect on producing biofuel, South-East European Forestry, 13(1), 53-64, doi:10.15177/seefor.22-05, 2022.
43. Caixeta F., A. M. Carvalho, P. Saraiva, and F. Freire, Sustainability-focused excellence: A novel model integrating the water-energy-food nexus for agro-industrial companies, Sustainability, 14(15), 9678, doi:10.3390/su14159678, 2022.
44. Angelakis, A. N., J. Krasilnikoff, and V. A. Tzanakakis, Evolution of water technologies and corresponding philosophy and sciences focusing on the Hellenic world through the millennia, Water, 14, 3149, doi:10.3390/w14193149, 2022.
45. Li, C., J. Hao, G. Zhang, H. Fang, Y. Wang, and H. Lu, Runoff variations affected by climate change and human activities in Yarlung Zangbo River, southeastern Tibetan Plateau, Catena, doi:10.1016/j.catena.2023.107184, 2023.
46. Jorquera, J., and A. Pizarro, Unlocking the potential of stochastic simulation through Bluecat: Enhancing runoff predictions in arid and high‐altitude regions, Hydrological Processes, 37(12), e15046, doi:10.1002/hyp.15046, 2023.
47. De León Pérez, D., R. Acosta Vega, S. Salazar Galán, J. Á. Aranda, and F. Francés García, Toward systematic literature reviews in hydrological sciences, Water, 16(3), 436, doi:10.3390/w16030436, 2024.

Tagged under: Course bibliography: Water Resources Management, Climate stochastics, Works discussed in weblogs, Hurst-Kolmogorov dynamics, Renewable energy, Stochastics, Uncertainty, Water and energy