Reservoir Operation for Simultaneously Meeting Water Demand and Sediment Flushing: Stochastic Dynamic Programming Approach with Two Uncertainties
Reservoir Operation for Simultaneously Meeting Water Demand and Sediment Flushing: Stochastic Dynamic Programming Approach with Two Uncertainties
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DOI：
10.1061/(asce)wr.1943-5452.0000244
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发表时间：
2013-05
影响因子：
3.1
通讯作者：
Ashkan Shokri;O. B. Haddad;M. Mariño
中科院分区：
文献类型：
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作者：
Ashkan Shokri;O. B. Haddad;M. Mariño
摘要河床泥沙通常被移走并向下游输送。在这一过程中，一些泥沙沉积在水库中，导致水库主动蓄水能力下降，从而降低了水库满足用水需求的能力。冲洗是一种从底部出水口操作的泥沙释放方法，释放储存的水来冲洗泥沙。因此，冲厕作业后可能会出现缺水现象。因此，为满足水需求的泥沙释放的时间和体积制定水库调度政策是很重要的。流入水库的水和泥沙的不确定性也是增加此类政策复杂性的重要问题。建立了一个具有两个不确定性的随机动态规划(SDP)模型，用于确定同时满足需水和排沙的最优调度策略。为了评估SDP模型在两个不确定条件下的性能，我们开发了另外四种操作策略，并且这五种场景都是EV。
AbstractRiver bed materials are commonly removed and conveyed downstream. In this process, some sediments are deposited in reservoirs, causing a decrease in reservoir active storage capacity and thus its ability to meet water demand. Flushing is a sediment-release method operated from the bottom outlet gates that releases stored water to flush sediments. As a result, water shortages may occur after the flushing operation. Thus, it is important to develop a reservoir operation policy for time and volume release of sediment that meets water demand. Uncertainties in water and sediment inflows to the reservoir are also important issues that add to the complexity of such policies. This paper presents a stochastic dynamic programming (SDP) model with two uncertainties to determine the simultaneous optimal operation policies for meeting water demand and sediment flushing. To evaluate the capability of the SDP model with two uncertainties, four other operation policies are developed, and all five scenarios are ev...