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    Modeling Framework for Reservoir Capacity Planning Accounting for Fish Migration

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    %28ASCE%29WR.1943-5452.0001170.pdf (1017.Kb)
    Date
    2020
    Author
    Zhihao Xu
    Zhifeng Yang
    Ximing Cai
    Xinan Yin
    Yanpeng Cai
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    Abstract
    Reservoirs change the environment upstream of dams from lotic to lentic and alter hydrodynamic migration cues, thereby forming barriers to upstream fish migration. Increasing reservoir capacity improves its ability to store water and provide benefits for human water uses but may simultaneously degrade fish migration environment in the reservoir and increase the economic cost for restoring fish migration. Such a tradeoff has been rarely explored. This study develops an integrated hydrodynamic, hydrologic, and economic framework for planning reservoir capacity that accounts for fish migration; water use benefits; and reservoir construction, maintenance, and operation costs. Based on the hydrodynamic simulation of flow velocities along a potential fish migration route in a reservoir, we determine the minimum flow release required to restore migration for different inflow and storage conditions and fish hydrodynamic requirements. The minimum release is then expressed as a constraint in an optimization model that determines the optimal reservoir capacity and a new operating rule curve to maximize reservoir net benefit. Using China’s Danjiangkou Reservoir as a case study, we confirm that increasing reservoir capacity increases the quantity of water abandoned for restoring fish migration. Accounting for fish migration decreases optimal reservoir capacity by 39%, decreases annual costs by 13%, and decreases annual net benefits by 8%–21%, depending on fish hydrodynamic requirements. Large reservoirs may need to sacrifice considerable storage both before and during the migration period, and thus the optimal capacity for a particular reservoir should be decided based on a balance between human water demand and fish migration requirements.
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264686
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