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Addressing the contradiction between water supply and demand: a study on multi-objective regional water resources optimization allocation.

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Title: Addressing the contradiction between water supply and demand: a study on multi-objective regional water resources optimization allocation.
Authors: Chu, Jingyi1 (AUTHOR), Wang, Zhaocai2 (AUTHOR) zcwang1028@163.com, Bao, Xiaoguang2 (AUTHOR), Yao, Zhiyuan2 (AUTHOR), Cui, Xuefei3 (AUTHOR)
Source: Environment, Development & Sustainability. May2026, Vol. 28 Issue 5, p11289-11317. 29p.
Subject Terms: *Multi-objective optimization, *Metaheuristic algorithms, *Water efficiency, *Environmental protection, *Water supply, *Water management, *Urbanization
Geographic Terms: China, Shanxi Sheng (China)
Abstract: As a result of economic development, population growth, accelerated urbanization and the frequent occurrence of extreme weather events, the contradiction between the supply and demand for water resources between regions has become increasingly acute. In order to solve the problem of regional water shortage and irrational utilization, the optimal allocation of water resources has become one of the research hotspots in recent years. In this study, firstly a multi-objective integrated allocation model of regional water resources is constructed by introducing social, economic, and environmental objective functions to address the complex uncertainties in the water resources system. Secondly, the standard whale algorithm is optimized and improved by introducing chaotic population initialization, chaotic convergence factor, adaptive Lévy flight and improved positive cosine mechanism. The model parameters, including the 2025 water resource demand and supply, pollutant discharge content, and unit water supply cost coefficients, are set by consulting the Shanxi Water Resources Bulletin 2022, the Shanxi Provincial Department of Water Resources, and the Report on the Work of the Shanxi Provincial Government 2023. Subsequently, the improved whale algorithm is utilized for the optimization of the predicted water resources for various target years in the future in the lower reaches of the Fen River in Shanxi Province, China. This ultimately yields optimized allocation results independently from both supply and demand sides. The experimental results demonstrate that the framework for water resource optimization using the improved whale algorithm is feasible, providing a reference scheme for regional multi-objective water resource optimization. Finally, the proposed policy recommendations emphasize the necessity of strengthening water diversion planning and management, promoting virtual water and water-saving initiatives, and highlighting water recycling and environmental protection in order to ensure the sustainable allocation of water resources in the downstream Fen River basin. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 193283969
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  Data: Addressing the contradiction between water supply and demand: a study on multi-objective regional water resources optimization allocation.
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. May2026, Vol. 28 Issue 5, p11289-11317. 29p.
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  Data: *<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+efficiency%22">Water efficiency</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+protection%22">Environmental protection</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+supply%22">Water supply</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink><br />*<searchLink fieldCode="DE" term="%22Urbanization%22">Urbanization</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Shanxi+Sheng+%28China%29%22">Shanxi Sheng (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As a result of economic development, population growth, accelerated urbanization and the frequent occurrence of extreme weather events, the contradiction between the supply and demand for water resources between regions has become increasingly acute. In order to solve the problem of regional water shortage and irrational utilization, the optimal allocation of water resources has become one of the research hotspots in recent years. In this study, firstly a multi-objective integrated allocation model of regional water resources is constructed by introducing social, economic, and environmental objective functions to address the complex uncertainties in the water resources system. Secondly, the standard whale algorithm is optimized and improved by introducing chaotic population initialization, chaotic convergence factor, adaptive Lévy flight and improved positive cosine mechanism. The model parameters, including the 2025 water resource demand and supply, pollutant discharge content, and unit water supply cost coefficients, are set by consulting the Shanxi Water Resources Bulletin 2022, the Shanxi Provincial Department of Water Resources, and the Report on the Work of the Shanxi Provincial Government 2023. Subsequently, the improved whale algorithm is utilized for the optimization of the predicted water resources for various target years in the future in the lower reaches of the Fen River in Shanxi Province, China. This ultimately yields optimized allocation results independently from both supply and demand sides. The experimental results demonstrate that the framework for water resource optimization using the improved whale algorithm is feasible, providing a reference scheme for regional multi-objective water resource optimization. Finally, the proposed policy recommendations emphasize the necessity of strengthening water diversion planning and management, promoting virtual water and water-saving initiatives, and highlighting water recycling and environmental protection in order to ensure the sustainable allocation of water resources in the downstream Fen River basin. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.1007/s10668-024-05214-z
    Languages:
      – Code: eng
        Text: English
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        PageCount: 29
        StartPage: 11289
    Subjects:
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Metaheuristic algorithms
        Type: general
      – SubjectFull: Water efficiency
        Type: general
      – SubjectFull: Environmental protection
        Type: general
      – SubjectFull: Water supply
        Type: general
      – SubjectFull: Water management
        Type: general
      – SubjectFull: Urbanization
        Type: general
      – SubjectFull: China
        Type: general
      – SubjectFull: Shanxi Sheng (China)
        Type: general
    Titles:
      – TitleFull: Addressing the contradiction between water supply and demand: a study on multi-objective regional water resources optimization allocation.
        Type: main
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          Name:
            NameFull: Chu, Jingyi
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            NameFull: Wang, Zhaocai
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            NameFull: Bao, Xiaoguang
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            NameFull: Yao, Zhiyuan
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            NameFull: Cui, Xuefei
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 28
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              Value: 5
          Titles:
            – TitleFull: Environment, Development & Sustainability
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