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Simulation and multicriteria optimization modeling approach for regional water restoration management

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  • Angel Udías
  • Roman Efremov
  • Lorenzo Galbiati
  • Israel Cañamón

Abstract

This paper presents a modeling framework that intends to select the optimal robust wastewater reclamation program of measures (PoM) to achieve the European Water Framework Directive (WFD) objectives in the inner Catalonia watersheds. The integrative methodological tool developed incorporates a water quality model to simulate the effects of the PoM used to reduce pollution pressures on the hydrologic network. A Multi-Objective Evolutionary Algorithm (MOEA) helps to identify efficient trade-offs between PoM cost and water quality. Interactive Decisions Map (IDM)—a multi-criteria visualization—based decision support tool is used to provide a clear idea of the trade-off between water status and the cost to achieve such situation. Lastly, a stochastic simulation model to analyze the sensitivity under varied environmental uncertainties is run. Moreover, the tool is oriented to guide water managers in their decision-making processes. Additionally, this paper analyzes the results of the application of the management tool in the inner Catalan watershed in order to perform the European WFD. This tool has had a key role in the design of part of the PoM which shall be implemented to achieve objectives of the WFD in 2015 in all the Catalan catchments. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Angel Udías & Roman Efremov & Lorenzo Galbiati & Israel Cañamón, 2014. "Simulation and multicriteria optimization modeling approach for regional water restoration management," Annals of Operations Research, Springer, vol. 219(1), pages 123-140, August.
    • Handle: RePEc:spr:annopr:v:219:y:2014:i:1:p:123-140:10.1007/s10479-012-1101-x
    DOI: 10.1007/s10479-012-1101-x
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    References listed on IDEAS

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    1. Romero, Carlos & Rehman, Tahir, 1987. "Natural Resource Management and the Use of Multiple Criteria Decision-Making Techniques: A Review," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 14(1), pages 61-89.
    2. Stefan Hajkowicz & Kerry Collins, 2007. "A Review of Multiple Criteria Analysis for Water Resource Planning and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1553-1566, September.
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    Cited by:

    1. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
    2. Natalia Jorquera-Bravo & Andrea Teresa Espinoza Pérez & Óscar C. Vásquez, 2022. "Toward a sustainable system of wastewater treatment plants in Chile: a multi-objective optimization approach," Annals of Operations Research, Springer, vol. 311(2), pages 731-747, April.
    3. Shing Chih Tsai & Tse Yang, 2017. "Rapid screening algorithms for stochastically constrained problems," Annals of Operations Research, Springer, vol. 254(1), pages 425-447, July.

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