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Multi-Objective Operating Rules for Danjiangkou Reservoir Under Climate Change

Author

Listed:
  • Guang Yang

    (Wuhan University)

  • Shenglian Guo

    (Wuhan University)

  • Liping Li

    (Wuhan University)

  • Xingjun Hong

    (Wuhan University)

  • Le Wang

    (Wuhan University)

Abstract

The natural variations of climatic system, as well as the potential influence of human activity on global warming, have changed the hydrologic cycle and threatened current water resources management. And the conflicts between different objectives in reservoir operation may become more and more challenging because of the impact of climate change. This study aims at deriving multi-objective operating rules to adapt to climate change and alleviate the conflicts. By combining the reservoir operation function and operating rule curves, an adaptive multi-objective operation model was proposed and developed. The optimal operating rules derived both by dynamic programming and NSGA-II method were compared and discussed. The projection pursuit method was used to select the best operating rules. The results demonstrate that the reservoir operating rules obtained by NSGA-II can increase the power generation and water supply yield and reliability, and the rules focusing on water supply can significantly increase the reservoir annual water supply yield (by 18.7 %). It is shown that the proposed model would be effective in reservoir operation under climate change.

Suggested Citation

  • Guang Yang & Shenglian Guo & Liping Li & Xingjun Hong & Le Wang, 2016. "Multi-Objective Operating Rules for Danjiangkou Reservoir Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1183-1202, February.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:3:d:10.1007_s11269-015-1220-7
    DOI: 10.1007/s11269-015-1220-7
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    References listed on IDEAS

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    Cited by:

    1. Guang Yang & Shenglian Guo & Pan Liu & Xiaofeng Liu & Jiabo Yin, 2020. "Heuristic Input Variable Selection in Multi-Objective Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 617-636, January.
    2. Wei Zhang & Xiaohui Lei & Pan Liu & Xu Wang & Hao Wang & Peibing Song, 2019. "Identifying the Relationship between Assignments of Scenario Weights and their Positions in the Derivation of Reservoir Operating Rules under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 261-279, January.
    3. Ming Hu & Guo H. Huang & Wei Sun & Xiaowen Ding & Yongping Li & Bin Fan, 2016. "Optimization and Evaluation of Environmental Operations for Three Gorges Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3553-3576, August.
    4. Ding, Ziyu & Fang, Guohua & Wen, Xin & Tan, Qiaofeng & Mao, Yingchi & Zhang, Yu, 2024. "Long-term operation rules of a hydro–wind–photovoltaic hybrid system considering forecast information," Energy, Elsevier, vol. 288(C).
    5. Yuni Xu & Xiang Fu & Xuefeng Chu, 2019. "Analyzing the Impacts of Climate Change on Hydro-Environmental Conflict-Resolution Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1591-1607, March.
    6. Shaokun He & Shenglian Guo & Guang Yang & Kebing Chen & Dedi Liu & Yanlai Zhou, 2020. "Optimizing Operation Rules of Cascade Reservoirs for Adapting Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 101-120, January.
    7. Kebin Jia & Zhihao Wei, 2018. "Water conservancy monitoring based on visual sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(6), pages 15501477187, June.
    8. Ziyu Ding & Guohua Fang & Xin Wen & Qiaofeng Tan & Xiaohui Lei & Zhehua Liu & Xianfeng Huang, 2020. "Cascaded Hydropower Operation Chart Optimization Balancing Overall Ecological Benefits and Ecological Conservation in Hydrological Extremes Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1231-1246, February.
    9. Zhangjun Liu & Jingwen Zhang & Tianfu Wen & Jingqing Cheng, 2022. "Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 4981-4993, October.

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