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Fuzzy Representation of Environmental Flow in Multi-Objective Risk Analysis of Reservoir Operation

Author

Listed:
  • Jiqing Li

    (North China Electric Power University
    University of California Davis)

  • Jing Huang

    (North China Electric Power University)

  • Pengteng Liang

    (Xiamen Municipal Engineering Design Institute Co., Ltd., Siming District)

  • Jay R. Lund

    (University of California Davis)

Abstract

In the context of worldwide water shortage, environmental flow is the key to alleviating the negative environmental impact of reservoir operation. In reality, there exists a range for the stream flow suitable for the survival and reproduction of aquatic organisms. However, most of current studies set it to a fixed value, which leads to unreasonable resource allocations. In this study, we proposed a fuzzy representation of environmental flow by using the fuzzy theory and the ecological hydraulic radius. Furthermore, we used the Three Gorges-Gezhouba cascade reservoirs as a study case and Four Major Chinese Carps as indicator species. In addition, a multi-objective operation optimization model was established, which was solved by the Evolver Palisade software. Finally, a multi-objective risk analysis method was proposed based on the design reliability and risk rate of various benefit operations. The results show that: (1) Based on the environmental flow membership function, flow ranges suitable for the aquatic organism survival and reproduction at specific locations can be determined to guide reservoir discharge. (2) Taking environmental flow membership as an optimization objective rather than a constraint is conducive to formulating environmentally friendly reservoir operation schemes and making more rational use of water resources. (3) The multi-objective risk analysis can avoid the one-sidedness of single-objective risk analysis and provide more basis for reservoir management. Ecological demands have long been a factor considered when formulating reservoir operation schemes. Therefore, following the environmentally friendly operation scheme is helpful to protect the environment and maximize the overall benefits of reservoirs.

Suggested Citation

  • Jiqing Li & Jing Huang & Pengteng Liang & Jay R. Lund, 2021. "Fuzzy Representation of Environmental Flow in Multi-Objective Risk Analysis of Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2845-2861, July.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:9:d:10.1007_s11269-021-02872-w
    DOI: 10.1007/s11269-021-02872-w
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    References listed on IDEAS

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    1. Rohini Devkota & Utsav Bhattarai & Laxmi Devkota & Tek Narayan Maraseni, 2020. "Assessing the past and adapting to future floods: a hydro-social analysis," Climatic Change, Springer, vol. 163(2), pages 1065-1082, November.
    2. Rafael Gonzalez Perea & Miguel Ángel Moreno & Victor Buono Silva Baptista & Juan Ignacio Córcoles, 2020. "Decision Support System Based on Genetic Algorithms to Optimize the Daily Management of Water Abstraction from Multiple Groundwater Supply Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4739-4755, December.
    3. Ahmad KhazaiPoul & Ali Moridi & Jafar Yazdi, 2019. "Multi-Objective Optimization for Interactive Reservoir-Irrigation Planning Considering Environmental Issues by Using Parallel Processes Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 5137-5151, December.
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    Cited by:

    1. Wentong Hu & Wenquan Gu & Donghao Miao & Dongguo Shao, 2022. "Research on the Ecological Flow and Water Replenishment Thresholds for Diversion Rivers Based on the MC-LOR Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5353-5369, November.
    2. Boran Zhu & Junqiang Lin & Yi Liu & Di Zhang & Qidong Peng & Yufeng Ren & Jiejie Chen & Yi Xu, 2024. "Multi-Risk Interaction Analysis of Cascade Hydropower Stations Based on System Dynamics Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 45-62, January.
    3. Pu Zhang & Yinglan A & Jianhua Wang & Huan Liu & Qin Yang & Zefan Yang & Qinghui Zeng & Peng Hu, 2023. "Analysis of Identification and Driving Factors of Ecological Base Flow Noncompliance in Major Rivers of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 269-287, January.
    4. Mahdi Sedighkia & Asghar Abdoli, 2022. "Optimizing environmental flow regime by integrating river and reservoir ecosystems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 2079-2094, April.
    5. Xiang Zhang & Liangkun Deng & Bi Wu & Shichun Gao & Yi Xiao, 2022. "Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6131-6148, December.

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