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2010 | OriginalPaper | Buchkapitel

Decision Support Systems for Integrated Water Resources Management Under Water Scarcity

verfasst von : Joaquim Comas, Manel Poch

Erschienen in: Water Scarcity in the Mediterranean

Verlag: Springer Berlin Heidelberg

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Abstract

Environmental decision support systems (EDSS) can be defined as intelligent information systems that are able to integrate numerical models (linear or nonlinear) with artificial intelligence (AI) techniques, together with geographical information and environmental ontologies. EDSS emulate the expert’s reasoning processes in decision making, integrating geographical information and environmental ontologies, reducing the time in which decisions are made, as well as improving the consistency and quality of those decisions. EDSS can be useful to cope with the complexity and multidisciplinary nature of Integrated Water Resource Management (IWRM). Besides, the Drought Management Plan Report written by the Water Scarcity and Droughts Expert Network (November 2007) states the “Development of decision support systems for the best exploitation of all information available, including drought forecasts, in order to optimize drought management and mitigation measures” as one of the main needs for advances in drought research. The necessity to confront complexity when dealing with IWRM is first stated in the paper. Then an EDSS as a promising tool to cope with this complexity is introduced, putting special emphasis in a proposal for EDSS development. Next the paper reviews the more relevant decision support systems (DSS) published for IWRM under water scarcity. Classical DSS to model environmental systems as well as those DSS including knowledge-based or AI techniques (i.e., EDSS) are reviewed. Open questions related to the EDSS development and application include improvement of data and knowledge acquisition and knowledge implementation methods, better integration of numerical models and AI techniques (both in simulation and real applications), evaluation of EDSS (lack of benchmarks), protocols to facilitate sharing and reuse of knowledge, involvement of end-users, and probably others.

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Guariso G, Werthner H (1989) Environmental decision support systems. Ellis Horwood-Wiley, New York

Rizzoli AE, Young WY (1997) Delivering environmental decision support systems: software tools and techniques. Environ Modell Softw 12(2–3):237–249CrossRef

Soncini-Sessa R, Villa L, Weber E, Rizzoli AE (1999) TwoLe: a software tool for planning and management of water reservoir networks. Hydrol Sci J 44(4):619–631CrossRef

Fox J, Das S (2000) Safe and sound. In Artificial Intelligence in Hazardous Applications. AAAI Press/The MIT Press, Cambridge, UK

Poch M, Comas J, Rodriguez-Roda I, Sànchez-Marrè M, Cortés U (2004) Designing and building real environmental decision support systems. Environ Modell Softw 19(9):857–873CrossRef

Ceccaroni L, Cortes U, Sànchez-Marrè M (2004) OntoWEDSS: augmenting environmental decision-support systems with ontologies. Environ Modell Softw 19:785–797CrossRef

Comas J, Alemany J, Poch M, Torrens A, Salgot MA, Bou J (2003) Development of a knowledge-based decision support system for identifying adequate wastewater treatment for small communities. Water Sci Technol 48(11–12):393–400

Comas J, Llorens E, Martí E, Puig MA, Riera JL, Sabater F, Poch M (2003) Knowledge acquisition in the STREAMES Project: the Key Process in the Environmental Decision Support System development. AI Commun 16(4):253–265

Devesa F, Comas J, Turon C, Freixó A, Carrasco F, Poch M (2009) Scenario analysis for the role of sanitation infrastructures in integrated urban wastewater management. Environ Modell Softw 24(3):371–380CrossRef

10.

Martínez M, Rodriguez-Roda I, Poch M, Cortés U, Comas J (2006) Dynamic reasoning to solve complex problems in activated sludge processes: a step further in decision support systems. Water Sci Technol 53(1):191–198CrossRef

11.

Rodriguez-Roda I, Comas J, Colprim J, Poch M, Sànchez-Marrè M, Cortés U, Baeza J, Lafuente J (2002) A hybrid supervisory system to support wastewater treatment plant operation: implementation and validation. Water Sci Technol 45(4–5):289–297

12.

Turon C, Comas J, Alemany J, Cortés U, Poch M (2007) Environmental decision support systems: a new approach to support the operation and maintenance of horizontal subsurface flow constructed wetlands. Ecol Eng 30(4):362–372CrossRef

13.

Koutsoyannis D, Karavokiros G, Efstratiadis A, Mamassis N, Koukouvinos A, Christofides A (2003) A decision support system for the management of the water resource system of Athens. Phys Chem Earth 28:599–609CrossRef

14.

Schlüter M, Savitsky AG, McKinney DC, Lieth H (2005) Optimizing long-term water allocation in the Amudarya River delta: a water management model for ecological impact assessment. Environ Modell Softw 20:529–545CrossRef

15.

Kunstman H, Jung G, Wagner S, Clottey H (2007) Integration of atmospheric sciences and hydrology for the development of decision support systems in sustainable water management. Phys Chem Earth 33:165–174

16.

Maia R, Silva C (2009) DSS application at a river basin scale, taking into account water resources exploitation risks and associated costs: The Algarve Region. Desalination 237:81–89CrossRef

17.

Newham LTH, Letcher RA, Jakeman AJ, Kobayashi T (2004) A framework for integrated hydrologic, sediment and nutrient export modelling for catchment-scale management. Environ Modell Softw 19(11):1029–1038CrossRef

18.

Minciardi R, Robba M, Sacile R (2007) Decision models for sustainable groundwater planning and control. Control Eng Pract 15:1013–1029CrossRef

19.

Matthies M, Berlekamp J, Lautenbach S, Graf N, Reimer S (2006) System analysis of water quality management for the Elbe river basin. Environ Modell Softw 21:1309–1318CrossRef

20.

Quinn NWT, Jacobs KC, Chen CW, Stringfellow WT (2005) Elements of a decision support system for real time management of dissolved oxygen in the San Joaquin River Deep Ship Channel. Environ Modell Softw 20:1495–1504CrossRef

21.

Vandenberghe V, Goethals PLM, Van Griensven A, Meirlaen J, Pauw N, Vanrolleghem P, Bauwens W (2005) Application of automated measurement stations for continuous water quality monitoring of the dender river in Flanders, Belgium. Environ Monit Assess 108:85–98CrossRef

22.

Matthies M, Giupponi C, Ostendorf B (2007) Environmental decision support systems: Current issues, methods and tools. Environ Modell Softw 22:123–127CrossRef

23.

Argent RM, Perraud J-M, Rahman JM, Grayson RB, Podger GM (2009) A new approach to water quality modelling and environmental decision support systems. Environ Modell Softw 24:809–818CrossRef

24.

Chen SH, Jakeman AJ, Norton J-P (2008) Artificial Intelligence techniques: an introduction to their use for modelling environmental systems. Math Comput Simul 78:379–400CrossRef

25.

Pongracz R, Bogardi I, Duckstein L (1999) Application of fuzzy rule-based modelling technique to regional drought. J Hydrol 224:100–114CrossRef

26.

Iliadis LS, Maris F (2007) An artificial neural network model for mountainous water-resources management: the case of Cyprus mountainous watersheds. Environ Modell Softw 22:1066–1072CrossRef

27.

Zhang Q, Stanley SJ (1997) Forecasting raw-water quality parameters for the North Saskatchewan River by neural network modelling. Water Res 31:2340–2350CrossRef

28.

Ines AVM, Honda K, Das Gupta A, Droogers P, Clemente RS (2006) Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture. Agric Water Manage 83:221–232CrossRef

29.

Pelletier GJ, Chapra SC, Tao H (2006) QUAL2Kw – a framework for modelling water quality in streams and rivers using a genetic algorithm for calibration. Environ Modell Softw 21:419–425CrossRef

30.

Pahl-Wostl C (2005) Information, public empowerment, and the management of urban watersheds. Environ Modell Softw 20:457–467CrossRef

31.

Becu N, Perez P, Walker A, Barreteau O, Le Page C (2003) Agent based simulation of a small catchment water management in northern Thailand. Description of the CATCHSCAPE model. Ecol Model 170:319–331CrossRef

32.

Bonabeau E, Dorigo M, Theraulaz G (2000) Inspiration for optimization from social insect behavior. Nature 406(6791):39–42CrossRef

33.

Maier HR, Simpson AR, Zecchin AC, Foong WK, Phang KY, Seah HY, Tan CL (2003) Ant colony optimization for design of water distribution systems. J Water Resour Plan Manage 129:200–209CrossRef

34.

Zecchin AC, Simpson AR, Maier HR, Nixon JB (2005) Parametric study for an ant algorithm applied to water distribution system optimization, IEEE Trans. Evol Comput 9:175–190CrossRef

35.

Chau KW (2006) Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River. J Hydrol 329:363–367CrossRef

36.

Gill MK, Kaheil YH, Khalil A, McKee M, Bastidas L (2006) Multiobjective particle swarm optimization for parameter estimation in hydrology. Water Resour Res 42:W07417CrossRef

37.

Rizzoli A, Castelletti A, Rigo D (2007) Neuro-dynamic programming for designing water reservoir network management policies. Control Eng Pract 15:1031–1038CrossRef

38.

Castelleti A, Soncini-Sessa R (2007) Bayesian Networks and participatory modelling in water resource management. Environ Modell Softw 22:1075–1088CrossRef

39.

Giordano R, Passarella G, Uricchio VF, Vurro M (2007) Integrating conflict analysis and consensus reaching in a decision support system for water resource management. J Environ Manage 84:213–228CrossRef

40.

Giupponi C, Mysiak J, Fassio A, Cogan V (2004) MULINO-DSS: A computer tool for sustainable use of water resources at the catchment scale. Math Comput Simul 64(1):13–24CrossRef

41.

Chen Y, Zhang D, Sun Y, Liu X, Wang N, Savenije HHG (2005) Water demand management: A case study of the Heihe River Basin in China. Phys Chem Earth 30 (6–7 spec. iss.) 408–419

42.

Kuo JT, Wang YY, Lung WS (2006) A hybrid neural-genetic algorithm for reservoir water quality management. Water Res 40:1367–1376CrossRef

43.

Srinivasula S, Jain A (2006) A comparative analysis of training methods for artificial neural network rainfall-runoff models. Appl Soft Comput 6:295–306CrossRef

44.

Dixon B (2005) Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis. J Hydrol 309:17–38CrossRef

45.

Abolpour B, Javan M, Karamouz M (2007) Water allocation improvement in river basin using Adaptive Neural Fuzzy Reinforcement Learning approach. Appl Soft Comput 7:265–285CrossRef

46.

Comas J, Rodriguez-Roda I, Sànchez-Marrè M, Cortés U, Freixó A, Arráez J, Poch M (2003) A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information. Water Res 37(10):2377–2387CrossRef

47.

Comas J, Rodriguez-Roda I, Poch M, Gernaey KV, Rosen C, Jeppsson U (2006) Demonstration of a tool for automatic learning and re-use of knowledge in the activated sludge process. Water Sci Technol 53(4–5):303–311

48.

Comas J, Rodriguez-Roda I, Poch M, Gernaey KV, Rosen C, Jeppsson U (2006) Extension of the IWA/COST simulation benchmark to include expert reasoning for system performance evaluation. Water Sci Technol 53(4–5):331–339

49.

Flores X, Rodriguez-Roda I, Poch M, Jimenez L, Bañares-Alcántara R (2007) Systematic procedure to handle critical decisions during the conceptual design of activated sludge plants. Ind Eng Chem Res 46(17):5600–5613CrossRef

50.

Rodriguez-Roda I, Comas J, Poch M, Sànchez-Marrè M, Cortés U (2001) Automatic knowledge acquisition from complex processes for the development of knowledge-based systems. Ind Eng Chem Res 40(15):3353–3360CrossRef

51.

Turon C, Comas J, Torrens A, Molle P, Poch M (2008) Improvement of sand filter and constructed wetland design using an environmental decision suport system. J Environ Qual 37(4):1644–1647CrossRef

52.

Chang CL, Lo SL, Yu SL (2005) Applying fuzzy theory and genetic algorithm to interpolate precipitation. J Hydrol 314:92–104CrossRef

53.

Cheng CT, Ou CP, Chau KW (2002) Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration. J Hydrol 268:72–86CrossRef

54.

Chang L-C, Chang F-J (2001) Intelligent control for modelling or real-time reservoir operation. Hydrol Processes 15(9):1621–1634CrossRef

55.

Alemany J, Comas J, Turon C, Balaguer MD, Poch M, Puig MA, Bou J (2005) Evaluating the application of a decision support system in identifying adequate wastewater treatment for small communities. Water Sci Technol 51(10):179–186

56.

Turon C, Alemany J, Bou J, Comas J, Poch M (2005) Optimal maintenance of constructed wetlands using an environmental decision support system. Water Sci Technol 51(10):109–117

57.

Desalination (237) Special issue on “Water Resources Management”. Symposium “Water Resources Management: New Approaches and Technologies”, Technical University of Crete, Chania, Greece, 14–16 June 2007

58.

Mysiak J, Giupponi C, Rosato P (2005) Towards the development of a decision support system for water resource management. Environ Modell Softw 20(2):203–214CrossRef

Titel: Decision Support Systems for Integrated Water Resources Management Under Water Scarcity
verfasst von: Joaquim Comas
Manel Poch
Verlag: Springer Berlin Heidelberg
Buch: Water Scarcity in the Mediterranean
Print ISBN: 978-3-642-03970-6

Electronic ISBN: 978-3-642-03971-3

Copyright-Jahr: 2010
DOI: https://doi.org/10.1007/698_2009_32