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Optimizing Operation Rules of Cascade Reservoirs for Adapting Climate Change

Author

Listed:
  • Shaokun He

    (Wuhan University
    Water Resources Section
    IHE Delft Inst Water Educ, Hydroinformat Grp)

  • Shenglian Guo

    (Wuhan University)

  • Guang Yang

    (Wuhan University)

  • Kebing Chen

    (Wuhan University)

  • Dedi Liu

    (Wuhan University)

  • Yanlai Zhou

    (Wuhan University)

Abstract

Climate change leads to great impact on hydrological cycle and consequently affects water resources management. Historical strategies are no longer applicable under a changing environment. Therefore, adaptive management, especially adaptive operation rules for reservoirs, has been developed to mitigate the potential adverse impacts of climate change. However, previous studies generally provide a similar framework for adaptation strategies of individual reservoir without consideration of cascade reservoirs in the future scenario. This study derives adapting operation rules for cascade reservoir system based on future projections (2021–2100) of two global climate change models (GCMs). By using Pareto archived dynamically dimensioned search (PA-DDS) algorithm with maximization of water supply and power generation, the performance of the adaptive operation rule curves is compared with the designed operation rule. The results demonstrate that Pareto solutions of the PA-DDS algorithm provide a wider, more optimal range of annual power generation and water supply, and the projection pursuit method can select the best. The adaptive operation rules focusing on power generation can significantly increase the cascade reservoir annual power generation (by 3.7% in GCM-BCC or 4.8% in GCM-BNU), which shows that the proposed method can adapt future climate change.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:1:d:10.1007_s11269-019-02405-6
    DOI: 10.1007/s11269-019-02405-6
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    References listed on IDEAS

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    Cited by:

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    2. L. V. Noto & G. Cipolla & D. Pumo & A. Francipane, 2023. "Climate Change in the Mediterranean Basin (Part II): A Review of Challenges and Uncertainties in Climate Change Modeling and Impact Analyses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2307-2323, May.
    3. He, Shaokun & Guo, Shenglian & Yin, Jiabo & Liao, Zhen & Li, He & Liu, Zhangjun, 2022. "A novel impoundment framework for a mega reservoir system in the upper Yangtze River basin," Applied Energy, Elsevier, vol. 305(C).
    4. Koppuravuri Ramabrahmam & Venkata Reddy Keesara & Raghavan Srinivasan & Deva Pratap & Venkataramana Sridhar, 2023. "Climate Change Impact on Water Resources of Tank Cascade Systems in the Godavari Sub-Basin, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2853-2873, May.
    5. Shaokun He & Lei Gu & Jing Tian & Lele Deng & Jiabo Yin & Zhen Liao & Ziyue Zeng & Youjiang Shen & Yu Hui, 2021. "Machine Learning Improvement of Streamflow Simulation by Utilizing Remote Sensing Data and Potential Application in Guiding Reservoir Operation," Sustainability, MDPI, vol. 13(7), pages 1-15, March.

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