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Incorporating ecological requirement into reservoir storage capacities design for adaptation to climate change

机译:将生态要求纳入水库存储容量设计,以适应气候变化

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Reservoir problems contain inherent uncertainty. The random nature of reservoir inflow is one of most important characteristic of determining the storage capacity of eco-friendly reservoir. However, previous eco-friendly reservoir storage requirement are generally derived from observed or synthetic flows and have rarely been determined by future flows under climate change. Here an optimization model is used in the design of the capacity of reservoir under future climate change to identify optimal trade-offs between two objectives: the maximization of the reliability and the minimization of the hydrologic alteration. The latter is evaluated considering different ecological requirement policies. There are three steps in the proposed model: (1) weather generator module is used to generate feasible future climate conditions, (2) VMOD model is adopted as the hydrological simulation module to generate flows from those future weather conditions, and (3) reservoir optimization module is employed to determine the optimal reservoir storage capability with different climate change conditions under different ecological requirement policies. Based on the results of various optimizations, it becomes possible to identify the most advantageous design alternatives to realize the reservoir project. It was found that the use of different storage capacity can enhance sufficiently both the water supply reliability and reduce hydrologic alteration.
机译:水库的问题包含固有的不确定性。储器流入的随机性质是确定生态友好的贮存器的存储容量的最重要的特征之一。然而,以往的生态友好的贮存器的存储需求通常从观察到的或合成衍生的流动和很少被由未来的气候变化下流动来确定。可靠性的最大化和水文变化的最小化:这里的优化模型,在水库在未来气候变化的能力,以确定两个目标之间的最佳折衷的设计中。后者是评估考虑不同的生态需求的政策。有在所提出的模型的三个步骤:(1)天气发生器模块用于产生可行未来气候条件下,(2)VMOD模型被采用作为水文模拟模块,用于生成从这些未来的天气条件下流动,和(3)贮存优化模块被用来确定与在不同的生态要求策略不同的气候变化的条件的最佳贮存存储能力。基于各种优化的结果,就可以找出最有利的设计方案,实现了水库工程。据发现,使用不同的存储容量可以充分地提高两个供水可靠性,降低水文改变。

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