河海大学学报(自然科学版)
河海大學學報(自然科學版)
하해대학학보(자연과학판)
JOURNAL OF HOHAI UNIVERSITY (NATURAL SCIENCES)
2014年
6期
476-480
,共5页
陈甜%董增川%贾本有%黄兴春%钟敦宇
陳甜%董增川%賈本有%黃興春%鐘敦宇
진첨%동증천%가본유%황흥춘%종돈우
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
小南海水電站%防洪標準%設計洪水%同頻率地區組成法%人工神經網絡
소남해수전참%방홍표준%설계홍수%동빈솔지구조성법%인공신경망락
Xiaonanhai Hydropower Station%flood control standards%design flood%same-frequency area composition%artificial neural network
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。
採用同頻率地區組成法分析小南海水電站壩阯處設計洪水的地區組成,運用 BP 人工神經網絡對壩阯河段洪水縯進建模,分析不同典型年上遊梯級水庫群防洪調度對小南海水電站設計洪水的影響。分析結果錶明:上遊梯級水庫群調度對小南海水電站設計洪水的影響明顯,尤其對稀遇洪水的削減程度顯著;以金沙江來水為主的洪水受梯級水庫群防洪調度的影響較大,以岷江來水為主的洪水受梯級水庫群防洪調度的影響較小。
채용동빈솔지구조성법분석소남해수전참패지처설계홍수적지구조성,운용 BP 인공신경망락대패지하단홍수연진건모,분석불동전형년상유제급수고군방홍조도대소남해수전참설계홍수적영향。분석결과표명:상유제급수고군조도대소남해수전참설계홍수적영향명현,우기대희우홍수적삭감정도현저;이금사강래수위주적홍수수제급수고군방홍조도적영향교대,이민강래수위주적홍수수제급수고군방홍조도적영향교소。
The same-frequency area composition method was used to analyze the area composition of a design flood of the dam site of the Xiaonanhai Hydropower Station. The flood routing in the river reach of the dam site was simulated with the artificial neural network model, and the influence of the flood control operation of the upstream cascade reservoir group on the design flood of the Xiaonanhai Hydropower Station in different typical years was analyzed. The results show that the flood control operation of the upstream cascade reservoir group has a significant influence on the design flood of the Xiaonanhai Hydropower Station, especially on the reduction of rare floods. The floods that mainly come from the Jinshajiang River are greatly influenced by the flood control operation, while the floods that mainly come from the Minjiang River are not significantly influenced by the flood control operation.