闹德海水库水沙联合调度模拟研究  

Simulation Study on Joint Dispatching of Water and Sediment in Naodehai Reservoir

作　　者：韩丛利 HAN Congli(Liaoning Fuxin Hydrology Bureau,Fuxin 123000,China)

机构地区：[1]辽宁省阜新水文局,辽宁阜新123000

出　　处：《中国水能及电气化》2018年第3期15-18,共4页China Water Power & Electrification

摘　　要：为解决柳河防洪排沙与兴利蓄水之间的矛盾,在满足防洪要求的前提下,减少泥沙淤积,增加蓄水量,本文通过对闹德海水库20场洪水调查,采用BP神经网络模型对20场洪水在各汛限控制水位下的排沙量进行模拟计算,为水库的水沙联合调度提供了科学的依据。The sediment deposition is reduced,and the water storage capacity is increased under the precondition of meeting flood control requirements in order to solve the contradiction between Liuhe River flood control de-silting and water conservancy impoundment.In the paper,BP neural network model is adopted for simulating and calculating the discharged particle mass of 20 floods under different flood control water levels through investigating 20 floods in Naodehai Reservoir,thereby providing scientific basis for water and sediment joint dispatching in the reservoir.

关 键 词：闹德海 淤积 BP神经网络 调度 

分 类 号：TV697.1[水利工程—水利水电工程]