引用本文:龙天渝, 王军慧.供水管网模型水质不确定性研究(J/M/D/N,J:杂志,M:书,D:论文,N:报纸).期刊名称,2014,31(12):97-101
CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435
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供水管网模型水质不确定性研究
龙天渝, 王军慧1
重庆大学 城市建设与环境工程学院,重庆400045
摘要:
供水管网模型是保障供水管网水质安全的重要手段,受输入参数不确定影响水质模型计算的水质值是不确定的;为研究节点基本用水量、水损系数、主体水反应系数和管壁反应系数对供水管网水质特性的影响,提出了在假定他们的随机变化服从正态分布的条件下,采用蒙特卡罗随机抽样法,应用动态的水质模型计算得到节点水质的分布特征,给出了算法在管网中的应用;结果表明:当所有不确定输入参数共同作用时,节点水质的不确定性最大,水质反应系数是对节点水质不确定性影响程度最大的参数。
关键词:  供水管网  水质模型  水力输入参数  水质输入参数  蒙特卡罗
DOI:
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基金项目:
Research on the Uncertainty of Water Quality by Water Supply System Model
LONG Tian-yu, WANG Jun-hui
Abstract:
Water supply system model is an important method to ensure the water quality safety in water supply system, however, the water quality value calculated by water quality model affected by the uncertainty of input parameters is uncertain. In order to study the influence of the basic water consumption amount per node, water loss coefficient, main body water response coefficient and pipe wall response coefficient on the water quality characteristics of water supply system, a dynamic water quality model is used to receive the distribution feature of node water quality by calculation via Monte Carlo random sampling method under the condition if their random change follows normal distribution. This paper gives the application of this algorithm to water supply system, and the results show that when all uncertain input parameters jointly take action, the uncertainty of node water quality is maximum and that water quality response coefficient is the largest parameter to affect the uncertainty of node water quality.
Key words:  water supply system  water quality model  hydraulic input parameter  water quality input parameter  Monte Carlo
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