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

机译:使用River2D形态预测水力发电大坝作业在高流量事件中鲑鱼的存活率

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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:与水力发电大坝运营相关的洪水可能是水库流入量增加,自然事件以及运营或结构失灵的结果,并且可能对下游鱼类种群及其栖息地产生重大影响。 River2D形态学(R2DM)是一种2D流体动力学,形态学和砾石运输模型,可使用一种基于变褐埋葬深度的独特算法,来预测高流量事件中鲑鱼变褐的存活率。为了研究不列颠哥伦比亚省温哥华岛坎贝尔河上约翰·哈特大坝下游的受控高流量和非受控高流量,对于返回期为2-的事件,预计损失分别为13%,42%,45%和50%分别为8年,20年,100年和200年。 R2DM被证明可以用作预测砾石河床鲑鱼卵损失的工具。

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