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Identifying the Relationship between Assignments of Scenario Weights and their Positions in the Derivation of Reservoir Operating Rules under Climate Change

Author

Listed:
  • Wei Zhang

    (Wuhan University)

  • Xiaohui Lei

    (China Institute of Water Resources and Hydropower Research)

  • Pan Liu

    (Wuhan University)

  • Xu Wang

    (China Institute of Water Resources and Hydropower Research)

  • Hao Wang

    (Wuhan University
    China Institute of Water Resources and Hydropower Research)

  • Peibing Song

    (Zhejiang University)

Abstract

In order to mitigate the adverse impacts of climate change, adaptive operating rules (AOR) are generally derived using an ensemble of General Circulation Models (GCMs). Up to date, most of related literatures only focus on one fold of the following issues concerning the derivation of AOR using the GCMs ensemble, including: (1) consideration of different scenario weighing methods, or (2) analysis of different positions to locate scenario weights. And less concern is given to the latter compared with the former. However, few studies identify the relationship between (1) and (2) in the derivation of AOR based on the GCMs ensemble. In this study, we attempt to investigate where to use Equal and REA scenario weights in the derivation of reservoir operating rules under climate change. Equal weights (EW) and unequal weights based on the reliability ensemble average (REA) method are used in two positions: (I) the optimization objective of the reservoir operation model, which is to maximize the weighted average hydropower generation for all future scenarios; and (II) the incorporation of GCMs ensemble climate projections into the weighted climate conditions, and then it is input into the reservoir operation model with the objective of maximizing annual hydropower generation. Four AORs, including EW-AOR(I), REA-AOR(I), EW-AOR(II) and REA-AOR(II), are derived, and their optimized parameters are obtained by the simulation-based optimization (SBO) method with the Complex algorithm. The case study in the Jinxi Reservoir in China indicates that REA-AOR(I) outperforms the other three operation schemes, and EW-AOR(II) performs better than REA-AOR(II). Therefore, equal weights are preferably used to incorporate climate conditions, while unequal weights based on REA method can improve the performance of the reservoir operation model. Generally, REA-AOR(I) and EW-AOR(II) are suggested for adaptive reservoir management under climate change.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:1:d:10.1007_s11269-018-2101-7
    DOI: 10.1007/s11269-018-2101-7
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    References listed on IDEAS

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    1. M. Ward & Casey Brown & Kye Baroang & Yasir Kaheil, 2013. "Reservoir performance and dynamic management under plausible assumptions of future climate over seasons to decades," Climatic Change, Springer, vol. 118(2), pages 307-320, May.
    2. Pan Liu & Shenglian Guo & Xiaowei Xu & Jionghong Chen, 2011. "Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3177-3200, October.
    3. 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.
    4. Hyung-Il Eum & Slobodan Simonovic, 2010. "Integrated Reservoir Management System for Adaptation to Climate Change: The Nakdong River Basin in Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3397-3417, October.
    5. Ming, Bo & Liu, Pan & Guo, Shenglian & Zhang, Xiaoqi & Feng, Maoyuan & Wang, Xianxun, 2017. "Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long- and short-term operational decisions," Applied Energy, Elsevier, vol. 204(C), pages 432-445.
    6. Farzane Karami & Alireza B. Dariane, 2018. "Many-Objective Multi-Scenario Algorithm for Optimal Reservoir Operation Under Future Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3887-3902, September.
    7. Ruqayah Mohammed & Miklas Scholz, 2017. "Adaptation Strategy to Mitigate the Impact of Climate Change on Water Resources in Arid and Semi-Arid Regions: a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3557-3573, September.
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    Cited by:

    1. Zhong-kai Feng & Wen-jing Niu & Peng-fei Shi & Tao Yang, 2022. "Adaptive Neural-Based Fuzzy Inference System and Cooperation Search Algorithm for Simulating and Predicting Discharge Time Series Under Hydropower Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2795-2812, June.
    2. Soumyashree Dixit & V. Neethin & K. V. Jayakumar, 2023. "Assessment of Crop-Drought Relationship: A Climate Change Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 4075-4095, August.

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