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Time-varying Decision-making Method for Multi-objective Regulation of Water Resources

Author

Listed:
  • Zengchuan Dong

    (Hohai University)

  • Xiaokuan Ni

    (Hohai University)

  • Mufeng Chen

    (Hohai University)

  • Hongyi Yao

    (Hohai University)

  • Wenhao Jia

    (Hohai University)

  • Jiaxing Zhong

    (Hohai University)

  • Li Ren

    (Hohai University)

Abstract

A decision-making method for water resource regulation that considers the multi-objective time-varying competition relationship is proposed, given the dynamic time-varying characteristics of the mutual feedback relationship and its strength as the main targets in the water resources scheduling cycle. With a focus on different dispatching periods, a time-varying multi-objective model of annual generation, annual ecology, period ecology is constructed. Dynamic decision weights are built using a method that combines entropy weight and FAHP, and then selects the dynamic preference scheme from the frontier cluster by weighted TOPSIS based on the weights. In this study the lower reaches of the Jinsha River are used as an example. The spatiotemporal variation relationship of the multi-objective is analyzed, the entire year is divided into three operation periods, and the Pareto frontier cluster is solved with a time-varying process. The results show that power generation is competitive with ecology on an annual scale. However, the relationship varies slightly in each period, being weakly cooperative in the flood period, not significant in the storage period, and competitive in the routine period. The decision method of focusing on the key period, considering time-varying demands and dynamic preferences, can obtain better annual power generation and ecological protection benefits than the traditional unified annual regulation method, and can improve the degree of guarantee of ecological demand in key areas during critical periods. Focusing on ecological protection during the routine period can achieve the best balance between power generation and ecological protection.

Suggested Citation

  • Zengchuan Dong & Xiaokuan Ni & Mufeng Chen & Hongyi Yao & Wenhao Jia & Jiaxing Zhong & Li Ren, 2021. "Time-varying Decision-making Method for Multi-objective Regulation of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3411-3430, August.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:10:d:10.1007_s11269-021-02901-8
    DOI: 10.1007/s11269-021-02901-8
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    References listed on IDEAS

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    1. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2018. "Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm," Energy, Elsevier, vol. 153(C), pages 706-718.
    2. Mohammad Hadi Afshar & R. Hajiabadi, 2018. "A Novel Parallel Cellular Automata Algorithm for Multi-Objective Reservoir Operation Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 785-803, January.
    3. Omar A. de la Cruz Courtois & Maritza Liliana Arganis Juárez & Delva Guichard Romero, 2021. "Simulated Optimal Operation Policies of a Reservoir System Obtained with Continuous Functions Using Synthetic Inflows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2249-2263, May.
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    Cited by:

    1. Zhenyu Mu & Xueshan Ai & Jie Ding & Kui Huang & Senlin Chen & Jiajun Guo & Zuo Dong, 2022. "Risk Analysis of Dynamic Water Level Setting of Reservoir in Flood Season Based on Multi-index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3067-3086, July.
    2. Mina Khosravi & Abbas Afshar & Amir Molajou, 2022. "Decision Tree-Based Conditional Operation Rules for Optimal Conjunctive Use of Surface and Groundwater," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 2013-2025, April.
    3. Bin Liu & Feilian Zhang & Feng-jang Hwang, 2021. "Comfort Value of Water: Natural-artificial Dual-structured Analytical Framework for Comfort Assessment of Regional Water Environment and Landscape System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4747-4768, November.
    4. Zhang, Shuo & Kang, Yan & Gao, Xuan & Chen, Peiru & Cheng, Xiao & Song, Songbai & Li, Lingjie, 2023. "Optimal reservoir operation and risk analysis of agriculture water supply considering encounter uncertainty of precipitation in irrigation area and runoff from upstream," Agricultural Water Management, Elsevier, vol. 277(C).

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