4.7 Article

Multi-objective game theory optimization for balancing economic, social and ecological benefits in the Three Gorges Reservoir operation

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 16, 期 8, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1748-9326/ac0b69

关键词

ecological reservoir operation; game theory; multi-objective evolutionary algorithm; transboundary water conflicts; water allocation

资金

  1. National Key Plan for Research and Development of China [2019YFC1905600]
  2. Fundamental Research Funds for the Central Universities [2682021CX069, 2682021ZTPY088]
  3. National Natural Science Foundation of China [41571520]
  4. Sichuan Young Talent Scientific Funding [2019JDJQ0020]
  5. Open Fund of Sichuan Province Cyclic Economy Research Center [XHJJ-2002, XHJJ-2005]
  6. Sichuan Provincial Key Technology Support [2020JDTD0003]

向作者/读者索取更多资源

Reservoir operation is crucial for optimal allocation of water resources, effectively addressing water scarcity and flood disasters. Coordinating stakeholders is key to the smooth operation of multifunctional reservoirs.
Reservoir operation is an important and effective measure for realizing optimal allocation of water resources. It can effectively alleviate regional scarcity of water resources, flood disasters and other social problems, and plays an important role in supporting sustainable strategic development of water resources. Coordinating the stakeholders is key to the smooth operation of a multifunctional reservoir. This research examines the competition among stakeholders of a multi-objective ecological reservoir operation aiming to provide for economic, social and ecological demands. A multi-objective game theory model (MOGM) specified 10-day water discharge to meet the triple water demands (power generation, socio-economic consumption and environment) for multi-purpose reservoir operation. The optimal operation of the Three Gorges Reservoir (TGR), with the ecological objective of providing comprehensive ecological flow demanded for some key ecological problems that may occur in the middle and lower reaches of the Yangtze River, was chosen as a case study. Discharged water calculated by the MOGM and a conventional multi-objective evolutionary algorithm/decomposition with a differential evolution operator was then allocated to different demands. The results illustrate the applicability and efficiency of the MOGM in balancing transboundary water conflicts in multi-objective reservoir operation that can provide guidance for the operation of the TGR.

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