Optimal water allocation through a multi-objective compromise between environmental,social, and economic preferences |
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| Affiliation: | 1. Business School, Sichuan University, Chengdu 610064, PR China;2. Decision Sciences Department, LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA;3. International Business School, Shaanxi Normal University, Xi’an 710062, PR China;4. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610064, PR China;5. Sichuan Institute of Building Research, Chengdu 610064, PR China;1. School of Business IT and Logistics, RMIT University, Melbourne, VIC 3000, Australia;2. School of Economics, Finance & Marketing, RMIT University, Melbourne, VIC 3000, Australia;3. Department of Supply Chain Management, Eli Broad College of Business, Michigan State University, East Lansing, MI, USA;1. School of Civil Engineering, Tianjin University, Tianjin, 300072, China;2. Institute of Water Resources and Hydropower Research, Beijing, 100038, China;3. Construction and Administration Bureau of South-to-North Water Diversion Middle Route Project, Beijing, 10000, China;4. Business School, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom |
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| Abstract: | Raising water demands and insufficient freshwater resources are the main reasons of water conflicts in transboundary watersheds. Sustainable water allocation can be a resolution for water disputes as it addresses simultaneously economic, social and environmental benefits. In this paper, a multi-objective model is introduced, which leads to sustainable water allocation of transboundary watersheds taking into account all these three aspects. Five water allocation objectives are proposed for this model in which three of them address the social factors and others represent the economic and environmental preferences. The Compromise Programming technique is employed to solve the applied model to the Sefidrud Basin, Iran and several water allocation schemes are provided based on various weights combinations. The results of the model elucidate that the proposed model can allocate 83 percent of the Basin's water resources, to its stakeholders in a sustainable way while the environmental demand is satisfied. |
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| Keywords: | Water allocation Multi-Objective Programming Compromise Programming Water allocation objectives |
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