Importance of demand modelling in network water quality models: a review

水质 环境科学 网络模型 环境工程 色散(光学) 计算机科学 数据挖掘 生态学 生物 光学 物理
作者
Mirjam Blokker,J.H.G. Vreeburg,Steven G. Buchberger,J. C. van Dijk
出处
期刊:Drinking Water Engineering and Science [Copernicus Publications on behalf of the TU Delft]
卷期号:1 (1): 27-38 被引量:43
标识
DOI:10.5194/dwes-1-27-2008
摘要

Abstract. Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances. For dissolved substances the main interest is in residual chlorine and (microbiological) contaminant propagation; for particulate substances it is in sediment leading to discolouration. There is a strong influence of flows and velocities on transport, mixing, production and decay of these substances in the network. This imposes a different approach to demand modelling which is reviewed in this article. For the large diameter lines that comprise the transport portion of a typical municipal pipe system, a skeletonised network model with a top-down approach of demand pattern allocation, a hydraulic time step of 1 h, and a pure advection-reaction water quality model will usually suffice. For the smaller diameter lines that comprise the distribution portion of a municipal pipe system, an all-pipes network model with a bottom-up approach of demand pattern allocation, a hydraulic time step of 1 min or less, and a water quality model that considers dispersion and transients may be needed. Demand models that provide stochastic residential demands per individual home and on a one-second time scale are available. A stochastic demands based network water quality model needs to be developed and validated with field measurements. Such a model will be probabilistic in nature and will offer a new perspective for assessing water quality in the drinking water distribution system.
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