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- W4255934375 abstract "In the context of worldwide water shortage, environmental flow is the key to alleviating the negative environmental impact of reservoir operation. In reality, there exists a range for the stream flow suitable for the survival and reproduction of aquatic organisms. However, most of current studies set it to a fixed value, which leads to unreasonable resource allocations. In this study, we proposed a fuzzy representation of environmental flow by using the fuzzy theory and the ecological hydraulic radius. Furthermore, we used the Three Gorges-Gezhouba cascade reservoirs as a study case and Four Major Chinese Carps as indicator species. In addition, a multi-objective operation optimization model was established, which was solved by the Evolver Palisade software. Finally, a multi-objective risk analysis method was proposed based on the design reliability and risk rate of various benefit operations. The results show that: (1) Based on the environmental flow membership function, flow ranges suitable for the aquatic organism survival and reproduction at specific locations can be determined to guide reservoir discharge. (2) Taking environmental flow membership as an optimization objective rather than a constraint is conducive to formulating environmentally friendly reservoir operation schemes and making more rational use of water resources. (3) The multi-objective risk analysis can avoid the one-sidedness of single-objective risk analysis and provide more basis for reservoir management. Ecological demands have long been a factor considered when formulating reservoir operation schemes. Therefore, following the environmentally friendly operation scheme is helpful to protect the environment and maximize the overall benefits of reservoirs." @default.
- W4255934375 created "2022-05-12" @default.
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- W4255934375 date "2021-06-28" @default.
- W4255934375 modified "2023-09-30" @default.
- W4255934375 title "Fuzzy Representation of Environmental Flow in Multi-Objective Risk Analysis of Reservoir Operation" @default.
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- W4255934375 doi "https://doi.org/10.1007/s11269-021-02872-w" @default.
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