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Deriving Optimal Daily Reservoir Operation Scheme with Consideration of Downstream Ecological Hydrograph Through A Time-Nested Approach

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  • Duan Chen
  • Ruonan Li
  • Qiuwen Chen
  • Desuo Cai

Abstract

The ecological flow requirement (EFR) during special life stages of species, for instance the fish spawning period, concerns not only the flow rate, but also daily changes in the flow rate. Therefore, it is more appropriate to optimize ecologically-friendly reservoir operation on a daily base. Directly formulating and solving a daily-based optimization model would involve a large number of decision variables as well as constraints, which may lead to unfavourable time consumption and unreliable solutions. This study proposes a time-nested approach to derive an optimal daily reservoir operation scheme with consideration of the downstream ecological hydrograph. It scales down the decision variables from monthly-base to 10-day base and finally to daily-base. The proposed method was applied to two cascaded reservoirs in the Yalong River in southwest China, where a daily ecological flow is required to conserve the habitats of an indigenous fish Schizothorax chongi (S. chongi). The results showed that the developed method could efficiently derive a daily optimal operational scheme with the consideration of downstream EFR for fish habitat conservation. In addition, the method greatly improves global searching ability in dealing with complex optimization problems. Copyright Springer Science+Business Media Dordrecht 2015

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  • Duan Chen & Ruonan Li & Qiuwen Chen & Desuo Cai, 2015. "Deriving Optimal Daily Reservoir Operation Scheme with Consideration of Downstream Ecological Hydrograph Through A Time-Nested Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3371-3386, July.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:9:p:3371-3386
    DOI: 10.1007/s11269-015-1005-z
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    1. Wen, Xin & Fang, Guo-hua & Guo, Yu-xue & Zhou, Lei, 2016. "Adapting the operation of cascaded reservoirs on Yuan River for fish habitat conservation," Ecological Modelling, Elsevier, vol. 337(C), pages 221-230.
    2. Duan Chen & Qiuwen Chen & Arturo S. Leon & Ruonan Li, 2016. "A Genetic Algorithm Parallel Strategy for Optimizing the Operation of Reservoir with Multiple Eco-environmental Objectives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2127-2142, May.
    3. Han-Chung Yang & Jian-Ping Suen & Shih-Kai Chou, 2016. "Estimating the Ungauged Natural Flow Regimes for Environmental Flow Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4571-4584, October.
    4. Duan Chen & Arturo S. Leon & Qiuwen Chen & Ruonan Li, 2018. "A Derivative-Free Hybrid Optimization Model for Short-Term Operation of a Multi-Objective Reservoir System Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3707-3721, September.
    5. Qiu, Jun & Wei, Jia-Hua & Jiang, Hao & Li, Fang-Fang, 2019. "Ecohydrological evaluation for Fish spawning based on fluctuation identification algorithm (FIA)," Ecological Modelling, Elsevier, vol. 402(C), pages 35-44.

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