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
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/.
Duration: January 2006–December 2010
The project's rationale lies in the Water Framework Directive,which demands an integrated approach to water management. This requires an ability to predict how catchment processes will interact. In most contexts, it is not feasible to build a single predictive model that adequately represents all the processes; therefore, a means of linking models of individual processes is required.The FP5 HarmonIT project's innovative and acclaimed solution, the Open Modelling Interface and Environment (OpenMI) met this need by simplifying the linking of hydrology related models.Its establishment will support and assist the strategic planning and integrated catchment management.
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
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.
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
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.
G. Kochilakis, D. Poursanidis, N. Chrysoulakis, V. Varella, V. Kotroni, G. Eftychidis, K. Lagouvardos, C. Papathanasiou, G. Karavokiros, M. Aivazoglou, C. Makropoulos, and M. Mimikou, FLIRE DSS: A web tool for the management of floods and wildfires in urban and periurban areas, Open Geosciences, 8, 711–727, doi:10.1515/geo-2016-0068, 2016.
A web-based Decision Support System, named FLIRE DSS, for combined forest fire control and planning as well as flood risk management, has been developed and is presented in this paper. State of the art tools and models have been used in order to enable Civil Protection agencies and local stakeholders to take advantage of the web based DSS without the need of local installation of complex software and their maintenance. Civil protection agencies can predict the behavior of a fire event using real time data and in such a way plan its efficient elimination. Also, during dry periods, agencies can implement “what-if” scenarios for areas that are prone to fire and thus have available plans for forest fire management in case such scenarios occur. Flood services include flood maps and flood-related warnings and become available to relevant authorities for visualization and further analysis on a daily basis. When flood warnings are issued, relevant authorities may proceed to efficient evacuation planning for the areas that are likely to flood and thus save human lives. Real-time weather data from ground stations provide the necessary inputs for the calculation of the fire model in real-time, and a high resolution weather forecast grid supports flood modeling as well as the development of “what-if” scenarios for the fire modeling. All these can be accessed by various computer sources including PC, laptop, Smartphone and tablet either by normal network connection or by using 3G and 4G cellular network. The latter is important for the accessibility of the FLIRE DSS during firefighting or rescue operations during flood events. All these methods and tools provide the end users with the necessary information to design an operational plan for the elimination of the fire events and the efficient management of the flood events in almost real time. Concluding, the FLIRE DSS can be easily transferred to other areas with similar characteristics due to its robust architecture and its flexibility.
Full text: http://www.itia.ntua.gr/en/getfile/1766/1/documents/FLIRE.pdf (1400 KB)
G. Kochilakis, D. Poursanidis, N. Chrysoulakis, V. Varella, V. Kotroni, G. Eftychidis, K. Lagouvardos, C. Papathanasiou, G. Karavokiros, M. Aivazoglou, C. Makropoulos, and M. Mimikou, A web based DSS for the management of floods and wildfires (FLIRE) in urban and periurban areas, Environmental Modelling and Software, 86, 111–115, doi:10.1016/j.envsoft.2016.09.016, 2016.
The FLIRE DSS is a web-based Decision Support System for the combined forest and flood risk management and planning. State of the art tools and models have been used in order to enable Civil Protection agencies and local stakeholders to take advantage of web based DSS with no need of local complex infrastructure and maintenance. Civil protection agencies can predict the behavior of a fire event using real time data and in that way to plan its efficient elimination. Also, they can implement “what-if” scenarios for areas prone to fire and thus develop plans for forest fire management. Flood services include flood maps and flood-related warnings; these become available to relevant authorities for visualization and further analysis on a daily basis. Real time weather data from ground stations provide the necessary inputs for the calculation of the fire model in real time and a high resolution weather forecast grid support flood modeling and “what-if” scenarios for the fire modeling. The innovations of the FLIRE DSS are the use of common Earth Observation (EO) data as the backbone of the system to produce data for the support of fire and flood models, the common use of weather related information, the distributed architecture of the system and the web-based access of it with no need for installation of dedicated software. All these can be accessed by all means of computer sources like PC, laptop, Smartphone and tablet either by normal network connection or by using 3G and 4G cellular network. The latter is important for the accessibility of the FLIRE DSS during firefighting or rescue operations during flood events. FLIRE DSS can be easily transferred to other areas with similar characteristics due to its robust architecture and its flexibility.
Full text: http://www.itia.ntua.gr/en/getfile/1764/1/documents/FLIRE_paper.pdf (730 KB)
G. Karavokiros, A. Lykou, I. Koutiva, J. Batica, A. Kostaridis, A. Alves, and C. Makropoulos, Providing evidence-based, intelligent support for flood resilient planning and policy: the PEARL Knowledge Base, Water, 8 (9), 392, doi:10.3390/w8090392, 2016.
While flood risk is evolving as one of the most imminent natural hazards and the shift from a reactive decision environment to a proactive one sets the basis of the latest thinking in flood management, the need to equip decision makers with necessary tools to think about and intelligently select options and strategies for flood management is becoming ever more pressing. Within this context, the PEARL intelligent knowledge-base (PEARL KB) of resilience strategies is presented here as an environment that allows end-users to navigate from their observed problem to a selection of possible options and interventions worth considering within an intuitive visual web interface assisting advanced interactivity. Incorporation of real case studies within the PEARL KB enables the extraction of (evidence-based) lessons from all over the word, while the KB’s collection of methods and tools directly supports the optimal selection of suitable interventions. The Knowledge-Base also gives access to the PEARL KB FRI tool, which is an online tool for resilience assessment at a city level available to authorities and citizens. We argue that the PEARL KB equips authorities with tangible and operational tools that can improve strategic and operational flood risk management by assessing and eventually increasing resilience, while building towards the strengthening of risk governance. The online tools that the PEARL KB gives access to, were demonstrated and tested in the city of Rethymno, Greece.
Full text: http://www.itia.ntua.gr/en/getfile/1649/1/documents/water-08-00392.pdf (12503 KB)
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.
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.
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.
Full text: http://www.itia.ntua.gr/en/getfile/878/17/documents/hess-13-247-2009.pdf (1476 KB)
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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.
The main components of a decision support system (DSS) developed to support the management of the water resource system of Athens are presented. The DSS includes information systems that perform data acquisition, management and visualisation, and models that perform simulation and optimisation of the hydrosystem. The models, which are the focus of the present work, are organised into two main modules. The first one is a stochastic hydrological simulator, which, based on the analysis of historical hydrological data, generates simulations and forecasts of the hydrosystem inputs. The second one allows the detailed study of the hydrosystem under alternative management policies implementing the parameterisation-simulation-optimisation methodology. The mathematical framework of this new methodology performs the allocation of the water resources to the different system components, keeping the number of control variables small and thus reducing the computational effort, even for a complex hydrosystem like the one under study. Multiple, competitive targets and constraints with different priorities can be set, which are concerned among others, with the system reliability and risk, the overall average operational cost and the overall guaranteed yield of the system. The DSS is in the final stage of its development and its results, some of which are summarised in the paper, have been utilised to support the new masterplan of the hydrosystem management.
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|25.||Stefanovic, N., I. Radojevic, A. Ostojic, L. Comic, and M. Topuzovic, Composite web information system for management of water resources, Water Resources Management, 29(7), 2285-2301, doi:10.1007/s11269-015-0941-y, 2015.|
|26.||Nouiri, I., F. Chemak, D. Mansour, H. Bellali, J. Ghrab, J. Baaboub, and M. K. Chahed, Impacts of irrigation water management on consumption indicators and exposure to the vector of Zoonotic Cutaneous Leishmaniasis (ZCL) in Sidi Bouzid, Tunisia, International Journal of Agricultural Policy and Research, 3(2), 93-103, doi:10.15739/IJAPR.031, 2015.|
|27.||Nouiri , I., M. Yitayew, J. Maßmann, and J. Tarhouni, Multi-objective optimization tool for integrated groundwater management, Water Resources Management, 29(14), 5353-5375, doi:10.1007/s11269-015-1122-8, 2015.|
|28.||Wang, G., S. Mang, H. Cai, S. Liu, Z. Zhang, L. Wang, and J. L. Innes, Integrated watershed management: evolution, development and emerging trends, Journal of Forestry Research, 27(5), 967–994, doi:10.1007/s11676-016-0293-3, 2016.|
|29.||Heidari, A., Application of multidisciplinary water resources planning tools for two of the largest rivers of Iran, Journal of Applied Water Engineering and Research, doi:10.1080/23249676.2016.1215271, 2016.|
|30.||#Bouziotas, D., and M. Ertsen, Socio-hydrology from the bottom up: A template for agent-based modeling in irrigation systems, Hydrology and Earth System Sciences Discussions, doi:10.5194/hess-2017-107, 2017.|
|31.||#Payano, R., J.A. Pascual-Aguilar, and I. de Bustamante, Criterios para la incorporación de la información sobre usos del suelo en un Sistema de Apoyo a la Toma de Decisiones sobre Patrimonio Hidráulico, Nuevas perspectivas de la Geomática aplicadas al estudio de los paisajes y el patrimonio hidráulico (Geomatics: New perspectives for the study of water landscapes and cultural heritage), J.A. Pascual-Aguilar, J. Sanz, and I. de Bustamante (eds.), Centro para el Conocimiento del Paisaje-Civilscape, 2017.|
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.
A decision support tool is developed for the management of water resources, focusing on multipurpose reservoir systems. This software tool has been designed in such a way that it can be suitable to hydrosystems with multiple water uses and operating goals, calculating complex multi-reservoir systems as a whole. The mathematical framework is based on the parameterization-simulation-optimization scheme. The main idea consists of a parametric formulation of the operating rules for reservoirs and other projects (i.e. hydropower plants). This methodology enables the radical decrease of the number of decision variables, making feasible the location of the optimal management policy, which maximizes the system yield and the overall operational benefit and minimizes the risk for the management decisions. The program was developed using advanced software engineering techniques. It is adaptable in a wide range of water resources systems and its purpose is to support water and power supply companies and related authorities. It was already applied to two of the most complicated hydrosystems of Greece, the first time as a planning tool and the second time as a management tool.
Other works that reference this work (this list might be obsolete):
|1.||Liu, C.W., Decision support system for managing ground water resources in the Choushui River alluvial in Taiwan, Journal of the American Water Resources Association, 40 (2), 431-442, 2004.|
|2.||#Chen, Y., and J. Hu, A decision support system for multireservoir system operation of Upper Yellow River, Proceedings of the 6th International Conference on Hydroinformatics (eds. Liong, S.-Y., K.-K. Phoon, and V. Babovic), IWA, 2004|
|3.||#Bravo, J. M., W. Collischonn and J. V. Pilar, Otimização da operação de reservatórios: Estado da Arte, Anais do XVI Simpósio Brasileiro de Recursos Hídricos, João Pessoa, 2005.|
|4.||#Bravo, J. M., W. Collischonn, J. V. Pilar & C. Depettris, Técnica de parametrización, simulación y optimización para definición de reglas de operación en repressa, Comunicaciones Científicas y Tecnológicas 2006, Universidad Nacional Del Nordeste, 2006.|
|5.||Srinivas, V.V., and K. Srinivasan, Hybrid matched-block bootstrap for stochastic simulation of multiseason streamflows, Journal of Hydrology, 329(1-2), 2006.|
|6.||#McCartney, M.P. and S. Awulachew, Improving dam planning and operation in the Nile Basin through the use of decision support systems, Proceedings of the Nile Basin Development Forum, 2006.|
|7.||#McCartney, M.P., Decision Support Systems for Large Dam Planning and Operation in Africa, IWMI Working Paper 119, 47 pp. International Water Management Institute, Colombo, Sri Lanka, 2006.|
|8.||#Bravo, J.M., W. Collischonn, J.V. Pilar, and C.E.M. Tucci, Otimização de regras de operação de reservatórios utilizando um algoritmo evolutivo, Anais do I Simpósio de Recursos Hídricos do Sul-Sudeste, ABRH, 2006.|
|9.||#Bravo, J. M., W. Collischonn, and J. V. Pilar, Optimización de la operación de una represa con múltiples usos utilizando un algoritmo evolutivo, Anales del IV Congreso argentino de presas y aprovechamientos hidroeléctricos, CADP, 2006.|
|10.||#Bravo, J. M., W. Collischonn, C. E. M. Tucci, and B. C. da Silva, Avaliação dos benefícios da previsão meteorológica na operação de reservatórios com usos múltiplos, Concurso I Prêmio INMET de Estudos sobre os Benefícios da Meteorologia para o Brasil, 2006.|
|11.||#Bravo, J. M., W. Collischonn, J. V. Pilar, B. C. da Silva, and C. E. M. Tucci, Evaluación de los beneficios de la previsión de caudal en la Operación de una represa, Anales del XXI congreso Nacional del Agua, 2007.|
|12.||#Bravo, J. M., W. Collischonn, J. V. Pilar, and C. E. M. Tucci, Influência da capacidade de regularização de reservatórios nos benefícios da previsão de vazão de longo prazo, Anais do XVII Simpósio Brasileiro de Recursos Hídricos, ABRH, 2007.|
|13.||Bravo, J. M., W. Collischonn, J. V. Pilar, and C. E. M. Tucci, Otimização de regras de operação de reservatórios com incorporação da previsão de vazão, Revista Brasileira de Recursos Hídricos, 13(1), 181-196, 2008.|
|14.||Celeste, A. B, and Billib, M., Evaluation of stochastic reservoir operation optimization models, Advances in Water Resources, 32(9), 1429-1443, 2009.|
|15.||Alemu, E. T., R. N. Palmer, A. Polebitski, and B. Meaker, Decision support system for optimizing reservoir operations using ensemble streamflow predictions, Journal of Water Recourses Planning and Management, 137(1), 72-82, 2011.|
|16.||Obolewskia, K., E. SkorbiŁowiczb, M. SkorbiŁowiczb, K. Glińska-Lewczukc, A. M. Asteld, and A. Strzelczake, The effect of metals accumulated in reed (Phragmites australis) on the structure of periphyton, Ecotoxicology and Environmental Safety, 74(4), 558-568, 2011.|
|17.||Kinyanjui, B. K., A. N. Gitau, and M. K. Mang’oli, Power development planning models in East Africa, Strategic Planning for Energy and the Environment, 31(1), 43-55, 2011.|
|18.||#McCartney, M., and G. Lacombe, Review of water resource and reservoir planning models for use in the Mekong, Mekong MK1 project on optimizing reservoir management for livelihoods, 24 pp., CGIAR Challenge Program on Water and Food, 2011.|
|19.||Ortega-Gaucin, D., Reglas de operación para el sistema de presas del Distrito de Riego 005 Delicias, Chihuahua, México, Ingeniería Agrícola y Biosistemas, 4(1), 31-39, 2012.|
|20.||Bianucci, P., A. Sordo-Ward, J. I. Pérez, J. García-Palacios, L. Mediero and L. Garrote, Risk-based methodology for parameter calibration of a reservoir flood control model, Natural Hazards and Earth System Sciences, 13, 965-981, 2013.|
|21.||Cavallo, A., A. Di Nardo, G. De Maria and M. Di Natale, Automated fuzzy decision and control system for reservoir management, Journal of Water Supply: Research and Technology – AQUA, 62(4), 189-204, 2013.|
|22.||Donia, N., Aswan High Dam reservoir management system, Journal of Hydroinformatics, 15(4), 1491-1510, 2013.|
|23.||Arunkumar, R., and V. Jothiprakash, Evaluation of a multi-reservoir hydropower system using a simulation model, ISH Journal of Hydraulic Engineering, 20 (2), 177-187, 2014.|
|24.||Latorre, J., S. Cerisola, A. Ramos, A. Perea, and R. Bellido, Coordinated hydropower plant simulation for multireservoir systems, Journal of Water Resources Planning and Management, 140(2), 216–227, 2014.|
|25.||Asadzadeh, M., S. Razavi, B. A. Tolson, and D. Fay, Pre-emption strategies for efficient multi-objective optimization: Application to the development of Lake Superior regulation plan, Environmental Modelling and Software, 54, 128-141, 2014.|
|26.||#Meseguer, J., G. Cembrano, J. M. Mirats, and E. Bonada, Optimizing operating rules of multiple source water supply systems in terms of system reliability and resulting operating costs: survey of simulation-optimization modeling approaches based on general purpose tools, 11th International Conference on Hydroinformatics, New York City, USA, 2014.|
|27.||Da Hora, M. A. G. M., and L. F. L. Legey, Water resource conflict in the Amazon Region: The case of hydropower generation and multiple water uses in the Tocantins and Araguaia river basins, The Global Journal of Researches in Engineering, 15(2), 2015.|
|28.||Oliveira, I. A., and A. B. Celeste, Operação de reservatório sergipano via curvas-guia parametrizadas por modelo de simulação-otimização, Scientia cum Industria, 4(3), doi:10.18226/23185279.v4iss3p154, 2016.|
|29.||Müller, R., and N. Schütze, Multi-objective optimization of multi-purpose multi-reservoir systems under high reliability constraints, Environmental Earth Sciences, 75:1278, doi:10.1007/s12665-016-6076-5, 2016.|
|30.||Celeste, A. B., and L. A. Ventura, Simple simulation–optimisation vs SDP for reservoir operation, Proceedings of the Institution of Civil Engineers – Water Management, 170(3), 128–138, doi:10.1680/jwama.15.00018, 2017.|
|31.||Arunkumar, R., and V. Jothiprakash, Evaluating a multi-reservoir system for sustainable integrated operation using a simulation model, Sustainable Water Resources Management, doi:10.1007/s40899-017-0201-9, 2017.|
|32.||Lei, X., Q. Tan, X. Wang, H. Wang, X. Wen, C. Wang, and Z.-W. Zhang, Stochastic optimal operation of reservoirs based on copula functions, Journal of Hydrology, 557, 265-275, doi:10.1016/j.jhydrol.2017.12.038, 2018.|
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.
Due to its highly fragmented geomorphology, Greece comprises hundreds of small- to medium-size hydrological basins, in which often the terrain is fairly steep and the streamflow regime ephemeral. These are typically affected by flash floods, occasionally causing severe damages. Yet, the vast majority of them lack flow-gauging infrastructure providing systematic hydrometric data at fine time scales. This has obvious impacts on the quality and reliability of flood studies, which typically use simplistic approaches for ungauged basins that do not consider local peculiarities in sufficient detail. In order to provide a consistent framework for flood design and to ensure realistic predictions of the flood risk –a key issue of the 2007/60/EC Directive– it is essential to improve the monitoring infrastructures by taking advantage of modern technologies for remote control and data management. In this context and in the research project DEUCALION, we have recently installed and are operating, in four pilot river basins, a telemetry-based hydro-meteorological network that comprises automatic stations and is linked to and supported by relevant software. The hydrometric stations measure stage, using 50-kHz ultrasonic pulses or piezometric sensors, or both stage (piezometric) and velocity via acoustic Doppler radar; all measurements are being temperature-corrected. The meteorological stations record air temperature, pressure, relative humidity, wind speed and direction, and precipitation. Data transfer is made via GPRS or mobile telephony modems. The monitoring network is supported by a web-based application for storage, visualization and management of geographical and hydro-meteorological data (ENHYDRIS), a software tool for data analysis and processing (HYDROGNOMON), as well as an advanced model for flood simulation (HYDROGEIOS). The recorded hydro-meteorological observations are accessible over the Internet through the www-application. The system is operational and its functionality has been implemented as open-source software for use in a wide range of applications in the field of water resources monitoring and management, such as the demonstration case study outlined in this work.
See also: http://dx.doi.org/10.1117/12.2028621
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.
The development process of scenarios used within a decision support system for water resources management is discussed, based on the case of the Athens water resource system. In particular, the schematisation process of the real world hydrosystem into a model representation is analysed, as well as further information consisting a scenario, including hydrological and water demand conditions, operational constraints, targets and their priorities, management objectives, and methodological assumptions used in decision making, is discussed
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.
A decision support tool is developed for the management of water resources, focusing on multipurpose reservoir systems. This software tool has been designed in such a way that it can be suitable to hydrosystems with multiple and very often contradictory water uses and operating goals, calculating complex multi-reservoir systems as a whole. The mathematical framework is based on the original scheme parameterization-simulation-optimization. The main idea consists of a parametric formulation of the operating rules for reservoirs and other projects (i.e. hydropower plants). This methodology enables the decrease of the decision variables, making feasible the location of the optimal management policy, which maximizes the system yield and the overall operational benefit and minimizes the risk for the management decisions. The program was developed using advanced software engineering techniques. As proved two detailed case studies, it is flexible enough and thus suitable for use to a wide range of applications, so it can be helpful to water and power supply companies and related authorities.
Other works that reference this work (this list might be obsolete):
|1.||#Xenos, D., C. Karopoulos and E. Parlis, Modern confrontation of the management of Athens' water supply system, Proc. 7th Conference on Environmental Science and Technology, Syros, Greece, 952-958, 2001.|
|2.||#Zeitoun, D. G., and A. J. Mellout, Decision support systems based on automatic water balance computation for groundwater management planning – The case of Israel’s coastal aquifer, Geoinformatics for Natural Resource Management, Joshi, P. K., P. Pani, S. N. Mohapartra, and T. P. Singh (eds.), Ch. 7, 634 pp., Nova Science Publishers Inc., New York, 2009.|
|3.||Stamou, A.-T., and P. Rutschmann, Towards the optimization of water resource use in the Upper Blue Nile river basin, European Water, 60, 61-66, 2017.|
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.
Optimisation of a multiple-reservoir system becomes increasingly complex when conflicting water uses exist, such as water supply, irrigation, hydroelectric power generation etc. Hydronomeas is a software tool, suitable for simulating and conducting a search for the optimum water resources management policy of a multi-purpose hydrosystem. The mathematical model is based on recent introduction and theoretical development of parametric rules for operation of multiple-reservoir systems. Software implementation was such performed that the model can be easily applied to a wide range of hydrosystems and that representation will be as realistic as possible, incorporating all natural, operational, environmental and other restrictions. Hydronomeas consists of several subsystems, including operational simulation, optimisation and visualisation. The first two cope with goals concerning both consumptive and energy-oriented water uses. Hydronomeas has been applied on the hydrosystem comprising all existing and under construction projects of the Acheloos river, its planned diversion and the related projects in Thessalia.
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.
An alternative method to both the design storm approach and the continuous simulation of historic or synthetic storms is presented. The method is based on, and uses as the only input, the intensity-duration-frequency (IDF) curves of the particular urban catchment of interest. The main concept is to keep the design storm approach for the determination of the total characteristics of the design storm event, i.e. duration and depth extracted from the IDF curves of the particular region, and use a disaggregation technique to generate a ensemble of alternative hyetographs (instead of adopting a unique arbitrary design time profile). The stochastically generated hyetographs are then entered into a rainfall - runoff model and then routed through the sewer network in order to simulate the hydraulic performance of the sewer network. This enables the determination of the conditional distribution of the outflow peak, which can then be utilised for studying the design characteristics and the behaviour of the sewer network.
Full text: http://www.itia.ntua.gr/en/getfile/28/1/documents/1998UDMRain.pdf (306 KB)
Other works that reference this work (this list might be obsolete):
|1.||#Grimaldi, S., F. Serinaldi, F. Napolitano and L. Ubertini, A 3-copula function application for design hyetograph analysis, IAHS-AISH Publication, (293), 203-211, 2005.|
|2.||Grimaldi, S., and F. Serinaldi, Design hyetograph analysis with 3-copula function, Hydrological Sciences Journal, 51 (2), 223-238, 2006.|
|3.||Calvo, B.. and F. Savi, A real-world application of Monte Carlo procedure for debris flow risk assessment, Computers & Geosciences, 35(5), 967–977, 2009.|
D. Nikolopoulos, A. Efstratiadis, G. Karavokiros, N. Mamassis, and C. Makropoulos, Stochastic simulation-optimization framework for energy cost assessment across the water supply system of Athens, European Geosciences Union General Assembly 2018, Geophysical Research Abstracts, Vol. 20, Vienna, EGU2018-12290, European Geosciences Union, 2018.
The water supply of Athens is implemented through a complex hydrosystem, including four reservoirs, 350 km of main aqueducts, 15 pumping stations, more than 100 boreholes and 5 small hydropower plants. The management of this system is subject to multiple complexities and uncertainties, as well as conflicts between different water uses and environmental constraints. Yet, the key challenge arises from the need to minimize the operational cost of the system, mainly induced to energy consumption across pumping stations and boreholes, at the same time retaining its long-term reliability at the acceptable level of 99%, on annual basis. In general, the energy cost is low, since most of raw water is abstracted and conveyed via gravity, yet occasionally this may be substantially increased, due to the activation of auxiliary resources that require intense use of pumping stations. In order to assess this cost for several water demand scenarios and reliability levels, taking into account all aforementioned issues, we employ a stochastic simulation – optimization framework, implemented within the recently updated version of Hydronomeas software. The outcomes of these analyses are next used in order to estimate the cost of raw water arriving at the metropolitan area of Athens, as function of demand and reliability.
G. Tzortzakis, E. Katsiri, G. Karavokiros, C. Makropoulos, and A. Delis, Tethys: sensor-based aquatic quality monitoring in waterways, 17th IEEE International Conference on Mobile Data Management (MDM), 329–332, doi:10.1109/MDM.2016.56, Porto, 2016.
It is imperative that water is delivered clean to urban centers and towns despite its channelling through waterways, ponds and city aqueducts. Waterways are occasionally polluted by micro-organisms, landslides, pesticides, as well as by human activity and waste. In coordinated efforts to address such problems, water authorities and local governments resort to cleaning facilities whose main task is to filter the water in a timely fashion. In this regard, authorities must be forewarned of imminent or developing pollution issues, so that immediate corrective action can be taken. The installation of sensors that continuously monitor the quality of water passing through specific points in waterways, proves to be an effective way to implement legislative mandates for clean water. We use submerged sensors to gather measurements that can help characterize the quality of water in canals using parameters including temperature, conductivity, turbidity, PH, and pressure. Raw sensor-generated measurements turn out to be of limited help when it comes to monitor the overall water quality and by themselves, can be even misleading occasionally. In this paper, we discuss the main features of Tethys, a real-time water quality monitoring tool, whose aim is to help the Athens water authorities in their ongoing assessment of water quality. Tethys receives as input streams of measurements from stations in the field, detects unexpected events, visualizes the flow of information, and automatically alerts supervisors about potential dangers appearing in waterways. We outline our design choices, filtering mechanisms, and implementation effort in realizing Tethys and demonstrate its real-time use.
Full text: http://www.itia.ntua.gr/en/getfile/1765/1/documents/Tethys.pdf (653 KB)
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.
Within the ongoing research project “Combined Renewable Systems for Sustainable Energy Development” (CRESSENDO), we have developed a novel stochastic simulation framework for optimal planning and management of large-scale hybrid renewable energy systems, in which hydropower plays the dominant role. The methodology and associated computer tools are tested in two major adjacent river basins in Greece (Acheloos, Peneios) extending over 15 500 km2 (12% of Greek territory). River Acheloos is characterized by very high runoff and holds ~40% of the installed hydropower capacity of Greece. On the other hand, the Thessaly plain drained by Peneios – a key agricultural region for the national economy – usually suffers from water scarcity and systematic environmental degradation. The two basins are interconnected through diversion projects, existing and planned, thus formulating a unique large-scale hydrosystem whose future has been the subject of a great controversy. The study area is viewed as a hypothetically closed, energy-autonomous, system, in order to evaluate the perspectives for sustainable development of its water and energy resources. In this context we seek an efficient configuration of the necessary hydraulic and renewable energy projects through integrated modelling of the water and energy balance. We investigate several scenarios of energy demand for domestic, industrial and agricultural use, assuming that part of the demand is fulfilled via wind and solar energy, while the excess or deficit of energy is regulated through large hydroelectric works that are equipped with pumping storage facilities. The overall goal is to examine under which conditions a fully renewable energy system can be technically and economically viable for such large spatial scale.
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.
Modelling of large-scale hybrid renewable energy systems (HRES) is a challenging task, for which several open computational issues exist. HRES comprise typical components of hydrosystems (reservoirs, boreholes, conveyance networks, hydropower stations, pumps, water demand nodes, etc.), which are dynamically linked with renewables (e.g., wind turbines, solar parks) and energy demand nodes. In such systems, apart from the well-known shortcomings of water resources modelling (nonlinear dynamics, unknown future inflows, large number of variables and constraints, conflicting criteria, etc.), additional complexities and uncertainties arise due to the introduction of energy components and associated fluxes. A major difficulty is the need for coupling two different temporal scales, given that in hydrosystem modeling, monthly simulation steps are typically adopted, yet for a faithful representation of the energy balance (i.e. energy production vs. demand) a much finer resolution (e.g. hourly) is required. Another drawback is the increase of control variables, constraints and objectives, due to the simultaneous modelling of the two parallel fluxes (i.e. water and energy) and their interactions. Finally, since the driving hydrometeorological processes of the integrated system are inherently uncertain, it is often essential to use synthetically generated input time series of large length, in order to assess the system performance in terms of reliability and risk, with satisfactory accuracy. To address these issues, we propose an effective and efficient modeling framework, key objectives of which are: (a) the substantial reduction of control variables, through parsimonious yet consistent parameterizations; (b) the substantial decrease of computational burden of simulation, by linearizing the combined water and energy allocation problem of each individual time step, and solve each local sub-problem through very fast linear network programming algorithms, and (c) the substantial decrease of the required number of function evaluations for detecting the optimal management policy, using an innovative, surrogate-assisted global optimization approach.
G. Karavokiros, E. Baltas, and M. Mimikou, Identification of extreme weather phenomena in near real-time, 1st EWaS-MED International Conference, “Improving Efficiency of Water Systems in a Changing natural and financial Environment”, Thessaloniki, 2013.
This paper describes an operational system for defining weather phenomena and indices, as well as, identifying and documenting extreme weather conditions based on the hydrometeorological observations from meteorological stations. The results are published directly on the website of the Hydrological Observatory of Athens. Different techniques are implied in real time in order to identify and exclude data errors from further processing. Extreme weather phenomena, such as extreme heat, frost, intense and heavy rainfall and extreme windy conditions, are currently monitored. Moreover, bioclimatic indicators measuring the felt air temperature (heat index and wind chill) by combining more than one meteorological variable are calculated. The system provides the flexibility to define weather phenomena and indices and to apply the identification algorithm to time series stored in the hydrometeorological database.
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.
The water supply of Athens, Greece, is implemented through a complex water resource system, extending over an area of around 4 000 km2 and including surface water and groundwater resources. It incorporates four reservoirs, 350 km of main aqueducts, 15 pumping stations, more than 100 boreholes and 5 small hydropower plants. The system is run by the Athens Water Supply and Sewerage Company (EYDAP). Over more than 10 years we have developed, information technology tools such as GIS, database and decision support systems, to assist the management of the system. Among the software components, “Enhydris”, a web application for the visualization and management of geographical and hydrometeorological data, and “Hydrognomon”, a data analysis and processing tool, are now free software. Enhydris is entirely based on free software technologies such as Python, Django, PostgreSQL, and JQuery. We also created http://openmeteo.org/, a web site hosting our free software products as well as a free database system devoted to the dissemination of free data. In particular, “Enhydris” is used for the management of the hydrometeorological stations and the major hydraulic structures (aqueducts, reservoirs, boreholes, etc.), as well as for the retrieval of time series, online graphs etc. For the specific needs of EYDAP, additional GIS functionality was introduced for the display and monitoring of the water supply network. This functionality is also implemented as free software and can be reused in similar projects. Except for “Hydrognomon” and “Enhydris”, we have developed a number of advanced modeling applications, which are also generic-purpose tools that have been used for a long time to provide decision support for the water resource system of Athens. These are “Hydronomeas”, which optimizes the operation of complex water resource systems, based on a stochastic simulation framework, “Castalia”, which implements the generation of synthetic time series, and “Hydrogeios”, which employs conjunctive hydrological and hydrogeological simulation, with emphasis to human-modified river basins. These tools are currently available as executable files that are free for download though the ITIA web site (http://itia.ntua.gr/). Currently, we are working towards releasing their source code as well, through making them free software, after some licensing issues are resolved.
A. Christofides, S. Kozanis, G. Karavokiros, and A. Koukouvinos, Enhydris, Filotis & openmeteo.org: Free software for environmental management, FLOSS Conference 2011, Athens, http://conferences.ellak.gr/2011/, 2011.
A presentation of two free software application for environmental management, developed in National Technical University of Athens. Enhydris is an Information system - server software for the management, storage and retrieval of hydrometeorological data, accessible through the internet. Enhydris is used by the National Data Bank of Hydrometeorolical Information (Hydroscope) and it also used by other agencies in Greece and European Union. In addition it is provided as a service of free content under the web address: openmeteo.org where individuals can download or upload their data. The Information System for the Greek Nature "Filotis", contains biotopes and species of flora and fauna of Greece.
The development of the application is based on Python Computer Language and Django. Finally applications are providing geospatial data in a Web-GIS form by using free software GIS tools.
Speach video is here: http://www.vimeo.com/25340067
See also: http://conferences.ellak.gr/2011/
A. Christofides, S. Kozanis, G. Karavokiros, Y. Markonis, and A. Efstratiadis, Enhydris: A free database system for the storage and management of hydrological and meteorological data, European Geosciences Union General Assembly 2011, Geophysical Research Abstracts, Vol. 13, Vienna, 8760, European Geosciences Union, 2011.
Enhydris is a database system for the storage and management of hydrological and meteorological data. It allows the storage and retrieval of raw data, processed time series, model parameters, curves and meta-information such as measurement stations overseers, instruments, events etc. The database is accessible through a web interface, which includes several data representation features such as tables, graphs and mapping capabilities. Data access is configurable to allow or to restrict user groups and/or privileged users to contribute or to download data. With these capabilities, Enhydris can be used either as a public repository of free data or as a fully secured – restricted system for data storage. Time series can be downloaded in plain text format that can be directly loaded to Hydrognomon (http://hydrognomon.org/), a free tool for analysis and processing of meteorological time series. Enhydris can optionally work in a distributed way. Many organisations can install one instance each, but an additional instance, common to all organisations, can be setup as a common portal. This additional instance can be configured to replicate data from the other databases, but without the space consuming time series, which it retrieves from the other databases on demand. A user can transparently use this portal to access the data of all participating organisations collectively. Enhydris is free software, available under the terms of the GNU General Public License version 3. It is developed with Python, Django, and C. Its modular design allows adding new features through the development of small applications. Enhydris is hosted by the Openmeteo project (http://openmeteo.org/), which aims to provide free tools and data.
Other works that reference this work (this list might be obsolete):
|1.||#Papathanasiou C., C. Makropoulos, E. Baltas, and M. Mimikou, The Hydrological Observatory of Athens: A state-of-the-art network for the assessment of the hydrometeorological regime of Attica, Proceedings of the 13th International Conference on Environmental Science and Technology, Athens, 2013.|
|2.||#Makropoulos, C., P. Kossieris, S. Kozanis, E. Katsiri, and L. Vamvakeridou-Lyroudia, From smart meters to smart decisions: Web-based support for the water efficient household, Proceedings of 11th International Conference on Hydroinformatics (HIC 2014), New York City, 2014.|
|3.||#Makropoulos, C., Thinking platforms for smarter urban water systems: Fusing technical and socio-economic models and tools. In: Riddick, A.T., Kessler, H., and Giles, J. R. A. (eds.), Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges, Geological Society, London, Special Publications, 408, 2014.|
|4.||Vantas, K., hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information, Journal of Open Source Software, 3(23), 625, doi:10.21105/joss.0062, 2018.|
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.
The management of complex water resource systems requires system-wide decision-making and control, to fulfil multiple and often contradictory water uses and constraints, maximize benefits and simultaneously minimize risks or negative impacts. The rapidly developing area of hydroinformatics provides a variety of methodologies and tools that are suitable to solve specific computational problems and demands an integrated framework of model co-operation and linking. A holistic water resource systems analysis framework is presented, comprising conceptual and stochastic hydrological models, hydrosystem simulation models, and algorithms for both linear and non-linear optimization. The key concepts are the formulation of parsimonious structures that are consistent with the available data, the conjunctive representation of physical and man-made processes, the quantification of uncertainties and risks, the faithful description of system dynamics, and the use of optimization to provide rational results within multiple modelling scales. The hydrosystem schematization is based on a network-type representation of real-world components, including both physical (basins, rivers, aquifers, etc.) and artificial ones (reservoirs, aqueducts, boreholes, demand points, etc.). Hydrological inflows are synthetically generated, through a multivariate stochastic simulation scheme that preserves all essential statistical properties as well as the time- and space-correlations across different time scales. Hydrosystem operation is represented through a low-dimensional approach, based on generalized parametric rules, which are assigned to the main hydraulic controls. All water resource management aspects, including technical, economical and environmental data are effectively handled through a generalized graph optimization approach, which simultaneously preserves a detailed description of the related processes and computational efficiency. A global optimization approach, also implemented on a multiobjective basis, is used to provide suitable management policies and support decisions. Besides, the stochastic representation of all hydrosystem fluxes enables the assessment of results on a reliability basis.
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.
The ODYSSEUS project (from the Greek acronym of its full title "Integrated Management of Hydrosystems in Conjunction with an Advanced Information System") aims at providing support to decision-makers towards integrated water resource management. The end-product comprises a system of co-operating software applications, suitable to handle a wide spectrum of water resources problems. The key methodological concepts are the holistic modelling approach, through the conjunctive representation of processes regarding water quantity and quality, man-made interventions, the parsimony of both input data requirements and system parameterization, the assessment of uncertainties and risks, and the extended use of optimization both for modelling (within various scales) and derivation of management policies. The core of the system is a relational database, named HYDRIA, for storing hydrosystem information; this includes geographical data, raw and processed time series, characteristics of measuring stations and facilities, and a variety of economic, environmental and water quality issues. The software architecture comprises various modules. HYDROGNOMON supports data retrieval, processing and visualization, and performs a variety of time series analysis tasks. HYDROGEIOS integrates a conjunctive hydrological model within a systems-oriented water management scheme, which estimates the available water resources at characteristic sites of the river basin and at the underlying aquifer. HYDRONOMEAS is the hydrosystem control module and locates optimal operation policies that minimize the risk and cost of decision-making. Additional modules are employed to prepare input data. DIPSOS estimates water needs for various uses (water supply, irrigation, industry, etc.), whereas RYPOS estimates pollutant loads from point and non-point sources, at a river basin scale. A last category comprises post-processing modules, for evaluating the proposed management policies by means of economical efficiency and water quality requirements. The latter include sophisticated models that estimate the space and time variation of specific pollutants within rivers (HERIDANOS) and lakes (LERNE), as well as simplified versions of them to be used within the hydrosystem simulation scheme. An interactive framework enables the exchange of data between the various modules, either off-line (through the database) or on-line, via appropriate design of common information structures. The whole system is in the final phase of its development and parts of it have been already tested in operational applications, by water authorities, organizations and consulting companies.
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.
Hydronomeas is an operational software tool for the management of complex water resource systems. It is suitable to a wide range of hydrosystems, incorporating numerous physical, operational, administrative and environmental aspects of integrated river basin management. The mathematical framework follows the parameterisation-simulation-optimisation scheme; simulation is applied to faithfully represent the system operation, expressed in the form of parametric management rules, whereas optimisation is applied to derive the optimal management policy, which simultaneously minimises the risk and cost of decision-making. Hydrological inflows are synthetically generated, thus providing stochastic predictions for all system outputs (reservoir storages and withdrawals). Real economic criteria in addition to virtual costs are appropriately assigned to preserve the physical constraints and water use priorities, ensuring also the lowest-energy transportation path of water from the sources to the consumption. Hydronomeas is developed to operate within the framework of a decision support system, with a graphical user interface allowing users to create any configuration of hydrosystems consisting of reservoirs, groundwater facilities, pumping and hydropower stations, aqueduct networks, demand points, etc. Data structures are controlled by a database management module, whereas simulation is accompanied by a visualisation module. Results, including the optimal operating rule for each component of the system, the failure probability for each water use, the water and energy balance, as well as prediction curves for all hydrosystem fluxes, are presented in graphical plots. Saved scenarios can also be retrieved in the form of printable reports, which are automatically generated through the database management module. From year 2000, Hydronomeas is the central supporting tool of the Athens Water Supply and Sewage Company (EYDAP).
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.
In complex hydrosystems, where natural processes are significantly affected by human interventions, a holistic modelling concept is required, to ensure a more faithful representation of mechanisms and hence a rational water resource management. An integrated scheme, comprising a conjunctive (i.e., surface and groundwater) hydrological model and a systems-oriented management model, was developed, based on a semi-distributed approach. Geographical input data include the river network, the sub-basins upstream of each river node and the aquifer discretization in the form of groundwater cells of arbitrary geometry. Additional layers of distributed geographical information, such as geology, land cover and terrain slope, are used to define the hydrological response units (HRUs); the latter are spatial components that correspond to areas of homogenous hydrological characteristics. On the other hand, input data for artificial components include reservoirs, water abstraction facilities, aqueducts and demand points. Dynamic input data consist of precipitation and potential evapotranspiration series, given at a sub-basin scale, and target demand series. Targets refer not only to water needs but also to various water management constraints, such as the preservation of minimum flows across the river network. Various modules are combined to represent the key processes in the watershed, i.e. (a) a conceptual soil moisture accounting model, with different parameters assigned to each HRU; (b) a groundwater model, based on a modified finite-volume numerical method; (c) a routing model, that implements the water movement across the river network; and (d) a water management model, inspired from the graph theory, which estimates the optimal hydrosystem fluxes, satisfying both physical constraints and target priorities and simultaneously minimising costs. Model outputs include discharges through the river network, spring flows, groundwater levels and water abstractions. The calibration employs an automatic procedure, based on multiple error criteria and a robust global optimisation algorithm. The model was applied to a meso-scale (~2000 km2) watershed in Greece, characterised by a complex physical system (a karstified background, with extended losses to the sea) and conflicting water uses. 10-year monthly discharge series from seven gauging stations were used to evaluate the model performance. Extended analysis proved that the exploitation of spatially distributed input information, in addition to the usage of a reasonable number of control variables that are fitted to multiple observed responses, ensures more realistic model parameters, also reducing prediction uncertainty, in comparison to earlier (both fully conceptual and fully distributed) approaches. Moreover, the incorporation of the water resource management scheme within the hydrological simulator makes the model suitable for operational use.
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.
The water resource system of Greater Athens supplies water mainly for domestic and industrial use to the metropolitan area of Athens, Greece. The system consists of four reservoirs, groundwater resources, and a network of aqueducts and pumping stations. For the control of this system an integrated computational framework was developed named Hydronomeas, which implements the parameterisation-simulation-optimisation methodology. To allocate the water demand to the different system components, it uses a parametric operation rule thus keeping the number of control variables small. This parametric rule is embedded into a simulation-optimisation scheme. To perform each simulation step, the water resource system is transformed to a digraph, and the water conveyance problem is formulated as a typical transhipment problem, which can be solved by the network simplex algorithm. Global system objectives are incorporated in a performance measure, which is subsequently optimised using nonlinear optimisation methods. Users can specify multiple targets and constraints, give them priorities and set acceptable limits for the system reliability. Hydronomeas is currently used as the main decision support tool for the management of the water resource system of Athens.
Other works that reference this work (this list might be obsolete):
|1.||#Margane, A., Guideline for sustainable groundwater resources management, Management, Protection and Sustainable Use of Groundwater and Soil Resources (ACSAD), 242 pp., Damascus, 2003.|
|2.||#Al-Maqtari, S., H. Abdulrab, E. Babkin and I. Krysina, New approach for combination of multi-agent algorithms and constraints solvers for decision support systems, BIR 2009 - 8th International Conference on Perspectives in Business Informatics Research, 2014.|
|3.||#Stamou, A. T., P. Rutschmann, and C. Rumbaur, Energy and reservoir management for optimized use of water resources: A case study within the water-food-energy context of nexus in the Nile river basin, Proceedings of the 14th International Conference on Environmental Science and Technology, Rhodes, 2015.|
S. Lykoudis, and G. Karavokiros, The "Deucalion" data network, Workshop - Deucalion research project, Goulandris National Histroy Museum, 2014.
Full text: http://www.itia.ntua.gr/en/getfile/1471/1/documents/Network.pdf (2429 KB)
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.
G. Karavokiros, and D. Koutsoyiannis, Integrated Management of Hydrosystems in Conjunction with an Advanced Information System, Research and Technology Days 2006, Athens, 2006.
G. Karavokiros, HYDRONOMEAS: Model for simulation and optimal managenet of water resource systems, 15th meeting of the Greek users of Geographical Information Systems (G.I.S.) ArcInfo - ArcView - ArcIMS, Athens, Marathon Data Systems, 2005.
Full text: http://www.itia.ntua.gr/en/getfile/688/1/documents/2005GIShydronomeas.pdf (4583 KB)
G. Karavokiros, Star Wars - Episode Zero, ITIA Poetry Collection, Athens, 16 September 2011.
Full text: http://www.itia.ntua.gr/en/getfile/1171/1/documents/Anthony_Jedi.pdf (78 KB)
G. Karavokiros, Prometheus Pyrphorov (extract), ITIA Poetry Collection, Athens, 15 July 2008.
Full text: http://www.itia.ntua.gr/en/getfile/874/1/documents/PromitheasPyrforos.pdf (88 KB)
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.
The managent of water resources for the water supply of Athens via the software system Hydronomeas is summarised.
Full text: http://www.itia.ntua.gr/en/getfile/491/1/documents/2001SEGMHydronomeas.pdf (1221 KB)
A. Siskos, G. Karavokiros, A. Christofides, and A. Efstratiadis, Development of decision support system for renewable energy managment, Combined REnewable Systems for Sustainable ENergy DevelOpment (CRESSENDO), 103 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, July 2015.
We describe the decision support system that implements the simulation and optimization model for combined water and energy systems. The report follows the structure of a user manual, in which are explained in detail the software operations.
Full text: http://www.itia.ntua.gr/en/getfile/1604/1/documents/Report_EE3.pdf (3006 KB)
A. D. Koussis, S. Lykoudis, and G. Karavokiros, Description of monitoring system for data transmittal and procesing, 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, 77 pages, March 2012.
Related project: DEUCALION – Assessment of flood flows in Greece under conditions of hydroclimatic variability: Development of physically-established conceptual-probabilistic framework and computational tools
Full text: http://www.itia.ntua.gr/en/getfile/1217/1/documents/Report_WP1_2.pdf (2873 KB)
N. Mamassis, A. Efstratiadis, G. Karavokiros, S. Kozanis, and A. Koukouvinos, Final report, Maintenance, upgrading and extension of the Decision Support System for the management of the Athens water resource system, Contractors: , Report 2, 84 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, November 2011.
A. Efstratiadis, G. Karavokiros, and N. Mamassis, Master plan of the Athens water resource system - Year 2009, Maintenance, upgrading and extension of the Decision Support System for the management of the Athens water resource system, Contractors: , Report 1, 116 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, April 2009.
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, doi:10.13140/RG.2.2.25384.62727, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, February 2008.
Other works that reference this work (this list might be obsolete):
|1.||Baltas, E. A., Climatic conditions and availability of water resources in Greece, International Journal of Water Resources Development, 24(4), 635-649, 2008|
|2.||Gikas, P., and G.Tchobanoglous, Sustainable use of water in the Aegean Islands, Journal of Environmental Management, 90(8), 2601-2611, 2009.|
|3.||Gikas, P., and A.N.Angelakis, Water resources management in Crete and in the Aegean Islands, with emphasis on the utilization of non-conventional water sources, Desalination, 248 (1-3), 1049-1064, 2009.|
|4.||Agrafioti, E., and E. Diamadopoulos, A strategic plan for reuse of treated municipal wastewater for crop irrigation on the Island of Crete, Agricultural Water Management, 105,57-64, 2012.|
|5.||#Zafirakis, D., C. Papapostolou, E. Kondili, and J. K. Kaldellis, Water use in the electricity generation sector: A regional approach evaluation for Greek thermal power plants, Protection and Restoration of the Environment XI, 1459-1468, 2012.|
|6.||Pisinaras, V., C. Petalas, V. A. Tsihrintzis and G. P. Karatzas, Integrated modeling as a decision-aiding tool for groundwater management in a Mediterranean agricultural watershed, Hydrological Processes, 27 (14), 1973-1987, 2013.|
|7.||Efstathiou, G.A., C. J. Lolis, N. M. Zoumakis, P. Kassomenos and D. Melas, Characteristics of the atmospheric circulation associated with cold-season heavy rainfall and flooding over a complex terrain region in Greece, Theoretical and Applied Climatology, 115 (1-2), 259-279, 2014.|
|8.||#Antoniou, G. P., Residential rainwater cisterns in Ithaki, Greece, IWA Regional Symposium on Water, Wastewater & Environment: Traditions & Culture (ed. by I. K. Kalavrouziotis and A. N. Angelakis), Patras, Greece, 675-685, International Water Association & Hellenic Open University, 2014.|
|9.||Kougioumoutzis, K., S.M. Simaiakis, and A. Tiniakou, Network biogeographical analysis of the central Aegean archipelago, Journal of Biogeography, 41 (10) 848-1858, 2014.|
|10.||Zafirakis, D., C. Papapostolou, E. Kondili, and J. K. Kaldellis, Evaluation of water‐use needs in the electricity generation sector of Greece, International Journal of Environment and Resource, 3(3), 39-45, 2014.|
|11.||Manakos, I., K. Chatzopoulos-Vouzoglanis, Z. I. Petrou, L. Filchev and A. Apostolakis, Globalland30 Mapping capacity of land surface water in Thessaly, Greece, Land, 4 (1), 1-18, 2015.|
|12.||Kallioras, A., and P. Marinos, Water resources assessment and management of karst aquifer systems in Greece, Environmental Earth Sciences, 74(1), 83-100, doi:10.1007/s12665-015-4582-5, 2015.|
|13.||#Grimpylakos , G., K. Albanakis, and T. S. Karacostas, Watershed size, an alternative or a misguided parameter for river’s waterpower? Implementation in Macedonia, Greece, Perspectives on Atmospheric Sciences, Springer Atmospheric Sciences, 295-301, doi:10.1007/978-3-319-35095-0_41, 2017.|
|14.||Tsangaratos, P. A. Kallioras , Th. Pizpikis, E. Vasileiou, I. Ilia, and F. Pliakas, Multi-criteria Decision Support System (DSS) for optimal locations of Soil Aquifer Treatment (SAT) facilities, Science of The Total Environment, 603–604, 472–486, doi:10.1016/j.scitotenv.2017.05.238, 2017.|
|15.||Soulis, K. X., and D. E. Tsesmelis, Calculation of the irrigation water needs spatial and temporal distribution in Greece, European Water, 59, 247-254, 2017.|
|16.||Piria, M., P. Simonović, E. Kalogianni, L. Vardakas, N. Koutsikos, D. Zanella, M. Ristovska, A. Apostolou, A. Adrović, D. Mrdak, A. S. Tarkan, D. Milošević, L. N. Zanella, R. Bakiu, F. G. Ekmekçi, M. Povž, K. Korro, V. Nikolić, R. Škrijelj, V. Kostov, A. Gregori, and M. K. Joy, Alien freshwater fish species in the Balkans — Vectors and pathways of introduction, Fish and Fisheries, 19(1), 138–169, doi:10.1111/faf.12242, 2018.|
G. Karavokiros, A. Efstratiadis, and I. Vazimas, HYDRONOMEAS - Computer System for Simulation and Optimal Management of Water Resources - User Manual - Version 4.0, Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, 144 pages, January 2007.
Other works that reference this work (this list might be obsolete):
|1.||Demertzi, K. A., D.M. Papamichail, P. E. Georgiou, D. N. Karamouzis, and V. G. Aschonitis, Assessment of rural and highly seasonal tourist activity plus drought effects on reservoir operation in a semi-arid region of Greece using the WEAP model, Water International, 39(1), 23–34, 2014.|
A. Christofides, and G. Karavokiros, Database design, Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, Report 1, 144 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2007.
The design of the central database of HYDROGAEA is described. The database obeys the relational model and encompasses all data. The database consists of subsystems for the management of time series, the representation of the "real world", i.e., the geographical entities for measuring stations, cities, dams, conduits, lakes etc., and the mathematical models.
Full text: http://www.itia.ntua.gr/en/getfile/764/1/documents/report_1.pdf (2095 KB)
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.
The subject of the report is the development of the software system HYDRONOMEAS, which is an operational tool for the management of complex water resource systems. The model is applicable to a wide range of hydrosystems, consisting of river branches, reservoirs, boreholes, pumping and hydropower stations, aqueduct networks, demand points, etc. After a general overview of the water resources management problem and a short presentation of some well-recognized decision support systems, we describe the theoretical background of the model, which implements the parameterisation-simulation-optimisation scheme. The former refers to the formulation of parametric control rules for the major infrastructures (reservoirs, boreholes), where the number of parameters is kept as low as possible. Simulation is applied to faithfully represent the processes. Specifically, real economic values in addition to virtual costs are assigned to network components to preserve the physical constraints and water use priorities, ensuring also the lowest-cost transportation path of water from the sources to the consumption. Finally, optimisation is applied to derive the optimal management policy on the basis of multiple performance criteria, thus ensuring simultaneous minimisation of the risk and cost of decision-making. Note that the modelling framework adopts a stochastic approach, providing predictions for all hydrosystem fluxes (storages, discharges, withdrawals) on the basis of synthetic scenarios of inflows. The last part of the report focus on the practical use of the model, as a stand-alone system as well as in co-operation with other modules developed within the ODYSSEUS research project.
Full text: http://www.itia.ntua.gr/en/getfile/756/1/documents/report_9.pdf (2701 KB)
Other works that reference this work (this list might be obsolete):
|1.||#Mackey, R., The climate dynamics of total solar variability, 16th Natural Resources Commission Coastal Conference 2007, Australia, 2007.|
|2.||#Strosser P., J. Roussard, B. Grandmougin, M. Kossida, I. Kyriazopoulou, J. Berbel, S. Kolberg, J. A. Rodríguez-Díaz, P. Montesinos, J. Joyce, T. Dworak, M. Berglund, and C. Laaser, EU Water saving potential (Part 2 – Case Studies), Berlin, Allemagne, Ecologic – Institute for International and European Environmental Policy, 101 pp., 2007.|
I. Vazimas, S. Kozanis, B. Graff, and G. Karavokiros, [No English title available], Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Report 18, 91 pages, NAMA, Athens, December 2006.
The final report is part of Work Package 9 with title "Software development - Implementation of operational product" and includes three parts: (a) the conclusions from the installation of the prototype for the organisations of Karditsa and Kalymnos; (b) beta testing results, including the trial of software so its correctness, plenitude, subjects of safety and quality are checked and (c) the results of the inspection and evaluation of the final product by SOGREAH.
Full text: http://www.itia.ntua.gr/en/getfile/771/1/documents/report_18.pdf (5102 KB)
A. Efstratiadis, A. Tegos, G. Karavokiros, I. Kyriazopoulou, and I. Vazimas, Master Plan for water resources management for the area of Karditsa, Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Report 16, 132 pages, NAMA, Athens, December 2006.
The present report refers to the Master Plan for water resources management for the area of Karditsa and was elaborated by NAMA's research team in cooperation with DEYA Karditsa and the National Technical University of Athens. This deliverable is part of Work Package 8 with title "Pilot Applications". The Pilot Applications aim to test and evaluate the product (from methodology and software efficiency viewpoints) on hydrosystems with totally different characteristics, in terms of their hydroclimatic regime, structure scale, and institutional and administrative framework of management. After the completion of the pilot applications, the product was re-examined at all levels (theoretical background, software design and implementation), before assuming its final form. This report will include the following main sections, according to the Technical Addendum of the Contract: (a) description of the study area, (b) description of the hydrosystem, (c) data and processing, (d) water needs assessment, (e) hydrological inflow assessment, (f) management of the hydrosystem, (g) simulation of quality parameters, (h) financial analysis and (i) conclusions and proposals.
Full text: http://www.itia.ntua.gr/en/getfile/769/1/documents/report_16.pdf (5557 KB)
Other works that reference this work (this list might be obsolete):
|1.||#Strosser P., J. Roussard, B. Grandmougin, M. Kossida, I. Kyriazopoulou, J. Berbel, S. Kolberg, J. A. Rodríguez-Díaz, P. Montesinos, J. Joyce, T. Dworak, M. Berglund, and C. Laaser, EU Water saving potential (Part 2 – Case Studies), Berlin, Allemagne, Ecologic – Institute for International and European Environmental Policy, 101 pp., 2007.|
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.
Within the framework of the project entitled "Updating of the supervision and management of the Athens water supply resources system", a software system named Hydronomeas (version 3.2) has been developed to support the water resources management by EYDAP. The methodology implemented (parameterisation-simulation-optimisation) is based mainly on an original theoretical work. The mathematical framework used allows the allocation of the water demand to the different system components, keeping the number of control variables small. This enables the simulation and optimisation of complex hydrosystems such as the one in this project. For the simulation process with a given operating rule, multiple, competitive targets and constraints with specified priorities can be set, which are concerned among others, with the acceptable limits for the system reliability. In performing optimisation, users can select between three objective functions: a) the minimisation of the average failure, b) the minimisation of the overall average operational cost and c) the maximisation of the overall guaranteed yield of the system for a given acceptable failure level. The model uses as input historic hydrological time series or synthetic time series. The results are given in probabilistic terms and include the probability of failure for each target, the analytical water balance and the storage forecast for reservoirs and the flow balance and discharge forecast for aqueducts.
Full text: http://www.itia.ntua.gr/en/getfile/620/1/documents/report24.pdf (4619 KB)
G. Karavokiros, and S. Kozanis, Software tool for generating reports, Modernisation of the supervision and management of the water resource system of Athens, Report 20, 60 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2004.
This software tool creates printable reports of the following two categories of information: (a) reports related to projects of the Water Resources Decision Support System Hydronomeas including a summary of the project, the input data and the main results of the calculations; (b) bulletins with reservoir storage variation and information concerning water consumption related to the water treatment plants of the Athens' water supply resources system (EYDAP). The Central Data Base Hydria supplies all data needed for the reports.
Full text: http://www.itia.ntua.gr/en/getfile/616/1/documents/report20.pdf (1057 KB)
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.
The methodology that was developed for the analysis of the water supply system of Athens, even though it was dictated by the special requirements of this particular system, has a broader character and a generalised orientation. In this respect, a series of publications in international scientific journals and communications in scientific conferences and workshops were done, so that the methodology becomes known to the international scientific community and raises its critique. These publications and communications are classified into two categories, with the fist one containing those referring to the core of the water supply system analysis, i.e., to the system optimisation based on the original methodology parameterisation-simulation-optimisation, and the second one containing those dealing with stochastic simulation and prediction of the hydrological inputs to the system. For a clear description and explanation of the methodology, the publications in scientific journals are reproduced in this volume and, for completeness, the summaries of the communications in conferences are included as well.
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.
Full text: http://www.itia.ntua.gr/en/getfile/552/1/documents/2002eydapmasterplan.pdf (8797 KB)
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.
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.
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.
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.
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.
Full text: http://www.itia.ntua.gr/en/getfile/487/2/documents/report13.pdf (8130 KB)
Other works that reference this work (this list might be obsolete):
|1.||#Collins, R., P. Kristensen and N. Thyssen, Water Resources Across Europe—Confronting Water Scarcity and Drought, ISSN 1725-9177, 56 pp., European Environment Agency (EEA), Copenhagen, 2009.|
G. Karavokiros, A. Efstratiadis, A. Koukouvinos, N. Mamassis, I. Nalbantis, N. Damianoglou, K. Constantinidou, S. Nalpantidou, A. Xanthakis, and S Politaki, Analysis of the system requirements, Modernisation of the supervision and management of the water resource system of Athens, Report 1, 74 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, January 2000.
Within the frame of the project entitled "Updating of the supervision and management of the water supply resources system of Athens" five software systems that are developed are specified. The first one is the Geographical Information System, which aims to model and to supervise the hydrosystem of Athens. The second one is a network of hydrometeorological measuring stations in the catchments, which are linked to the water resource system of Athens are specified. The third system is used for the estimation of inflow and losses of the reservoirs, where the forth one estimates and predicts the water resources in the aquifers of the Viotikos Kifissos and Yliki region. Finally, the fifth system supports the management of water resources. The specifications described are used as a guideline for the development of the above systems.
Full text: http://www.itia.ntua.gr/en/getfile/410/1/documents/report1.pdf (694 KB)
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.
The master plan for the operation of the Athens water resource system for the hydrological year 2000-20001 deals first with issues on the relations between the different organisations involved in the water supply of Athens, i.e., the Water Supply and Sewage Company of Athens, the Infrastructure Company for Water Supply and Sewage of Athens and a number of ministries. Projections of the water demand and the related water resources availability are studied in the form of future scenarios for which optimised system operating rules are drawn. The scenarios consider the phenomenon of the drought persistence as well as various possible emergency incidents. Operating cost estimates are also given together with elements on the environmental dimensions of the subject. Finally, estimates of the system safe yield and of the energy consumption for pumping water are presented in detail.
Full text: http://www.itia.ntua.gr/en/getfile/356/1/documents/2000EYDAPMasterplan.pdf (1616 KB)
Other works that reference this work (this list might be obsolete):
|1.||#Getimis, P., K. Bithas and D. Zikos, Key actors, institutional framework and participatory procedures, for the sustainable use of water in Attica-basin, Proc. 7th Conference on Environmental Science and Technology, Syros, Greece, 243-252, 2001.|
|2.||#Minasidou K., D. F. Lekkas, A. D. Nikolaou, and S. K. Golfinopoulos, Water quality changes during storage - the case of Mornos reservoir, Proceedings, Protection and Restoration of the Environment VIII, Mykonos, Greece, 2006.|
|3.||Stergiouli, M. L., and K. Hadjibiros, The growing water imprint of Athens (Greece) throughout history, Regional Environmental Change, 12(2), 337-345, 2012.|
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.
A software system named Hydronomeas (version 2.0) has been developed to support the water resources management policy of EYDAP. The methodology implemented (parametrization-simulation-optimization) is based mainly on an original theoretical work. The mathematical framework used allows the allocation of the water demand to the different system components, keeping the number of control variables small. This enables the simulation and optimisation of complex hydrosystems such as the water resource system of Athens. For the simulation process with a given operating rule, multiple, competitive targets and constraints with specified priorities can be set, which are concerned among others, with the acceptable limits for the system reliability. In performing optimisation, users can select between three objective functions: a) the minimisation of the average failure, b) the minimisation of the overall average operational cost and c) the maximisation of the overall firm yield of the system for an acceptable failure level. The model uses as input historic hydrological time series or synthetic time series. The results are given in probabilistic terms and include the probability of failure for each target, the analytical water balance for reservoirs, the flow balance for aqueducts, and economical data of the system operation.
Full text: http://www.itia.ntua.gr/en/getfile/355/1/documents/2000EYDAPHydronomeas.pdf (1278 KB)
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.
Full text: http://www.itia.ntua.gr/en/getfile/135/1/documents/er4_40.pdf (23538 KB)
G. Karavokiros, [No English title available], Department of Water Resources and Environmental Engineering – National Technical University of Athens, February 2008.
Full text: http://www.itia.ntua.gr/en/getfile/853/1/documents/PostgraDB.pdf (1798 KB)
G. Karavokiros, [No English title available], Department of Water Resources and Environmental Engineering – National Technical University of Athens, December 2007.
Full text: http://www.itia.ntua.gr/en/getfile/854/1/documents/report2_.pdf (543 KB)
G. Karavokiros, Hydronomeas - A Decision Support System for the Management of Water Resources, 14 pages, Αθήνα, 10 April 2003.
Presentation at the Ministry of Development.
Full text: http://www.itia.ntua.gr/en/getfile/578/1/documents/2003-04-10-ypan.pdf (1293 KB)
G. Karavokiros, [No English title available], 19 pages, National Technical University of Athens, Athens, June 2002.
Full text: http://www.itia.ntua.gr/en/getfile/529/1/documents/Conference_Organisation.pdf (1421 KB)
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.
Full text: http://www.itia.ntua.gr/en/getfile/499/1/documents/Hydronomeas_info.pdf (1579 KB)