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Modelling the potential for water quality failures in distribution networks: framework (I)

机译:对配电网络中水质故障的可能性进行建模:框架(I)

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The deterioration of water quality can adversely affect consumers' health as well as the aesthetic properties of water (taste, odour, colour). To date, little consideration has been given to the impact of deteriorating (ageing) water mains on water quality as a major decision driver for the renewal/rehabilitation of water mains. The main objective of this research was to identify major deterioration mechanisms in distribution networks that may contribute to water quality failures (WQF) and develop a model to quantify overall potential for WQF as a function of this deterioration. Numerous factors affect water quality in the distribution network and interactions among them are complex and often not well understood, water quality failures in distribution networks are relatively scarce, which makes it difficult to establish statistically significant generalizations. In such data-sparse circumstances, expert knowledge and judgement can serve as a supplement or even as alternative source(s) of information. This paper discusses major deterioration mechanisms that may contribute to WQFs in distribution networks, and proposes a modelling framework using fuzzy-based methods. The following two papers in this series will provide a mathematical formulation of the proposed model and its application using two case studies, respectively.
机译:水质的恶化会对消费者的健康以及水的美学特性(味道,气味,颜色)产生不利影响。迄今为止,几乎没有考虑到恶化(老化)的水管对水质的影响,而这是水管更新/修复的主要决策动力。这项研究的主要目的是确定可能导致水质故障(WQF)的配电网络中的主要恶化机制,并开发一个模型来量化WQF潜在恶化的总体潜力。许多因素影响配水网络中的水质,它们之间的相互作用是复杂的,而且往往不为人所知,配水网络中的水质故障相对稀少,这使得难以建立具有统计意义的概括。在这种数据稀疏的情况下,专家知识和判断力可以作为补充或什至替代信息来源。本文讨论了可能会影响配电网中WQF的主要恶化机制,并提出了一种基于模糊方法的建模框架。本系列的以下两篇论文将分别通过两个案例研究对所提出的模型及其应用提供数学公式。

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