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Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model

Author

Listed:
  • Xiaona Li

    (Tongji University)

  • Xiaosheng Wang

    (Hebei University of Engineering)

  • Haiying Guo

    (Hebei University of Engineering)

  • Weimin Ma

    (Tongji University)

Abstract

Owing to serious water shortages and frequent water waste, water crises have swept the world and become progressively severe. One major question is how to rationally allocate limited water resources to guarantee daily water requirements and achieve sustainable and coordinated development simultaneously. The combined use of different sources, such as diverted water and local water including reclaimed water, surface and ground water, within a region is an efficacious means to address the imbalance between water supplying and using. Aiming at managing complex uncertainties existing in water resource systems, this paper seeks for a reasonable distribution plan by a multi-objective uncertain chance-constrained programming (MUCCP) approach between multi-water resources and multiple water users. In this model, we adopt an uncertain variable as a new tool to manage the incertitude in parameters. Meanwhile, the likelihood that something will happen is quantified by the uncertain measure. This proposed MUCCP model sets the economic, social and environmental benefits as objectives with capacities of water supply and demand as uncertain chance constraints. Then, the solution to MUCCP model is obtained by solving its crisp equivalent version. Finally, the model is implemented for determination of optimal allocation policy in Handan City, Hebei Province. The results suggest that the MUCCP model could be employed by managers for practical problems to achieve a trade-off between system cost-effectiveness and default risk under uncertainty.

Suggested Citation

  • Xiaona Li & Xiaosheng Wang & Haiying Guo & Weimin Ma, 2020. "Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4881-4899, December.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:15:d:10.1007_s11269-020-02697-z
    DOI: 10.1007/s11269-020-02697-z
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    References listed on IDEAS

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    Cited by:

    1. Amir Hatamkhani & Ali Moridi, 2021. "Optimal Development of Agricultural Sectors in the Basin Based on Economic Efficiency and Social Equality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 917-932, February.
    2. Xiaojing Shen & Xu Wu & Xinmin Xie & Chuanjiang Wei & Liqin Li & Jingjing Zhang, 2021. "Synergetic Theory-Based Water Resource Allocation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2053-2078, May.
    3. Seyedeh Hadis Moghadam & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2022. "Optimal Water Allocation of Surface and Ground Water Resources Under Climate Change with WEAP and IWOA Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3181-3205, July.
    4. Jitao Zhang & Zengchuan Dong & Tian Chen, 2020. "Multi-Objective Optimal Allocation of Water Resources Based on the NSGA-2 Algorithm While Considering Intergenerational Equity: A Case Study of the Middle and Upper Reaches of Huaihe River Basin, Chin," IJERPH, MDPI, vol. 17(24), pages 1-18, December.
    5. Liang Yuan & Xia Wu & Weijun He & Yang Kong & Thomas Stephen Ramsey & Dagmawi Mulugeta Degefu, 2022. "A multi-weight fuzzy Methodological Framework for Allocating Coalition Payoffs of Joint Water Environment Governance in Transboundary River Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3367-3384, July.
    6. Mehri Raei & Javad Hossienzad & Mohammad Ali Ghorbani, 2023. "An Uncertainty-Based Random Boundary Interval Multi-Stage Stochastic Programming for Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4571-4587, September.

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