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考虑上游梯级水库群调度的小南海水电站坝址设计洪水分析
引用本文:陈甜,董增川,贾本有,黄兴春,钟敦宇. 考虑上游梯级水库群调度的小南海水电站坝址设计洪水分析[J]. 河海大学学报(自然科学版), 2014, 42(6): 476-480
作者姓名:陈甜  董增川  贾本有  黄兴春  钟敦宇
作者单位:河海大学水文水资源学院,江苏 南京,210098
基金项目:教育部科学技术研究重点项目
摘    要:采用同频率地区组成法分析小南海水电站坝址处设计洪水的地区组成,运用 BP 人工神经网络对坝址河段洪水演进建模,分析不同典型年上游梯级水库群防洪调度对小南海水电站设计洪水的影响。分析结果表明:上游梯级水库群调度对小南海水电站设计洪水的影响明显,尤其对稀遇洪水的削减程度显著;以金沙江来水为主的洪水受梯级水库群防洪调度的影响较大,以岷江来水为主的洪水受梯级水库群防洪调度的影响较小。

关 键 词:小南海水电站  防洪标准  设计洪水  同频率地区组成法  人工神经网络
修稿时间:2014-11-25

Analysis of design flood of dam site of Xiaonanhai Hydropower Station considering flood control operation of upstream cascade reservoir group
CHEN Tian,DONG Zengchuan,JIA Benyou,HUANG Xingchun,ZHONG Dunyu. Analysis of design flood of dam site of Xiaonanhai Hydropower Station considering flood control operation of upstream cascade reservoir group[J]. Journal of Hohai University (Natural Sciences ), 2014, 42(6): 476-480
Authors:CHEN Tian  DONG Zengchuan  JIA Benyou  HUANG Xingchun  ZHONG Dunyu
Abstract:The same-frequency area composition method was used to analyze the area composition of a design floodof the dam site of the Xiaonanhai Hydropower Station. The flood routing in the river reach of the dam site wassimulated with the artificial neural network model, and the influence of the flood control operation of the upstreamcascade reservoir group on the design flood of the Xiaonanhai Hydropower Station in different typical years wasanalyzed. The results show that the flood control operation of the upstream cascade reservoir group has a significantinfluence on the design flood of the Xiaonanhai Hydropower Station, especially on the reduction of rare floods. Thefloods that mainly come from the Jinshajiang River are greatly influenced by the flood control operation, while thefloods that mainly come from the Minjiang River are not significantly influenced by the flood control operation.
Keywords:Xiaonanhai Hydropower Station  flood control standards  design flood  same-frequency area composition  artificial neural network
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