水土保持通报2011，Vol.31Issue(3)：131-135,5.
基于混沌神经网络的流域坝系稳定性分析
Stability Analysis of Watershed Silt Dams Based on Chaos Optimization and Back-Propagation
摘要
Abstract
The principle of relative stability of a dam system is the theoretical basis for planning silt-retention dams,therefore,it is of significance to study the relative stability of a dam system in planning silt-retention dams.This paper uses Matlab 7.0-based improved BP algorithm and chaos optimization and back-propagation（COBP） model to assess the stabilities of thirteen dams in Majiagou watershed according to seven major factors affecting the stability of a dam system,i.e.dam control area,dam number,total reservoir storage,silting-allowable volume,water depth,anti-flood capacity and silted area.Results show that seven dams out of the thirteen dams are unstable,which is confirmed by the stability coefficient analysis of each dam.The output of the COBP model is thus reliable.This paper further analyzes the reasons for the instabilities of seven dams and makes them stable by increasing dam height and number.All of the thirteen small-watershed dams in Majiagou watershed become stable after they are replanned.This demonstrates that the COBP method has practical values in assessing the stability of a dam system.关键词
混沌神经网络/马家沟流域/坝系稳定性Key words
chaos optimization and back-propagation/Majiagou watershed/stability of silt dams分类
农业科技引用本文复制引用
刘卉芳,曹文洪,王向东,孙中峰..基于混沌神经网络的流域坝系稳定性分析[J].水土保持通报,2011,31(3):131-135,5.基金项目
“973”国家重点基础研究发展计划“水土流失环境效应评价理论与指标体系” （）
国家自然科学基金创新研究群体基金项目“流域水循环模拟与调控” （）
“十一五”国家科技支撑课题“沟壑整治工程优化配置与建造技术” （）
