Multi-Objective Operating Rules for Danjiangkou Reservoir Under Climate Change

Guang Yang (), Shenglian Guo (), Liping Li, Xingjun Hong and Le Wang
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Guang Yang: Wuhan University
Shenglian Guo: Wuhan University
Liping Li: Wuhan University
Xingjun Hong: Wuhan University
Le Wang: Wuhan University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 3, No 18, 1183-1202

Abstract: 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.

Keywords: Reservoir operation; Rule curves; Climate change; Multi-objective optimization; Adaptive operating rules (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11269-015-1220-7

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