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Using River2D Morphology to Predict Salmon Redd Survival during High Flow Events from Hydroelectric Dam Operations

机译:利用River2D形态来预测水力发电坝操作的高流量事件中的鲑鱼红脂肪生存

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Flooding related to hydroelectric dam operations may be the result of increased inflows to reservoirs, natural events, and operational or structural failures and can cause significant impacts to downstream fish populations and their habitats. River2D Morphology (R2DM), a 2D hydrodynamic, morphology and gravel transport model is adapted to predict the survival rate of salmon redds during high flow events using a unique algorithm based on depth of redd burial. For a study of a reach downstream of the John Hart Dam on Campbell River in Vancouver Island, British Columbia of both controlled and uncontrolled operational high flows the predicted losses are 13, 42, 45, and 50% for events with return periods of 2 - 8 years, 20-year, 100-year and 200-year, respectively. R2DM is shown to be useful as a tool in predicting salmon egg loss in gravel bed rivers.
机译:与水电站运营相关的洪水可能是增加流入水库,自然事件和运营或结构故障的结果,并且可能对下游鱼群及其栖息地造成重大影响。 River2D形态(R2DM),2D流体动力学,形态和砾石传输模型适于使用基于REDD埋藏的唯一算法在高流量事件中预测鲑鱼REDDS的存活率。对于在温哥华岛的坎贝尔河上的约翰·哈特大坝下游的研究,不列颠哥伦比亚(Whancouver Island)的不受控制和不受控制的运营高流量,预测损失是13,42,45和50%的事件,返回的事件为2 - 8年,20年,100年和200年。 R2DM被证明可用作预测砾石床河中的三文鱼蛋损失的工具。

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