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基于不确定性理论的排水管网多泵站启停液位筛选研究
引用本文:赵冬泉,毛楠,王浩正,曹尚兵. 基于不确定性理论的排水管网多泵站启停液位筛选研究[J]. 环境工程, 2011, 0(Z1)
作者姓名:赵冬泉  毛楠  王浩正  曹尚兵
作者单位:北京清华城市规划设计研究院环境与市政所;
基金项目:水体污染控制与治理科技重大专项(2008ZX07313-003)
摘    要:基于暴雨管理模型(storm water management model,简称SWMM),构建实验管网模型,基于不确定性理论,采用拉丁超立方法采样,根据管网运行管理目标选择可行的泵站启动液位调控方案,并对多个泵站的运行控制参数进行统计分析,筛选合理的泵站启停液位区间。结果表明该方法可以有效分析控制参数的不确定性,为排水管网控制方案的科学制定提供有效分析途径。

关 键 词:排水管网  泵站调度  控制参数  SWMM

STUDY ON THE SELECTION OF ON&OFF LIQUID LEVELS IN MULTI-PUMP DRAINAGE NETWORK BASED ON UNCERTAINTY ANALYSIS
Zhao Dongquan Mao Nan Wang Haozheng Cao Shangbing. STUDY ON THE SELECTION OF ON&OFF LIQUID LEVELS IN MULTI-PUMP DRAINAGE NETWORK BASED ON UNCERTAINTY ANALYSIS[J]. Environmental Engineering, 2011, 0(Z1)
Authors:Zhao Dongquan Mao Nan Wang Haozheng Cao Shangbing
Affiliation:Zhao Dongquan Mao Nan Wang Haozheng Cao Shangbing(Department of Environment and Infrastructure,Urban Planning and Design Institute,Tsinghua University,100084 Beijing,China)
Abstract:Based on SWMM(storm water management model),an experimental network model is established.Latin hypercube sampling(LHS) is used to obtain sample sets,network operation objectives are used as the criteria of feasible control schemes,and uncertainty analysis is used to screen pumps control parameters.The results show that this method is efficient to analyze the uncertainty of control parameters,and offer a selection approach of network control scheme.
Keywords:drainage network  pump dispatch  control parameter  SWMM  
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