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Development of an Algorithm for Vulnerability Zoning of Water Distribution Network

机译:供水管网脆弱性分区算法的开发

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Water Distribution Networks (WDNs) are highly vulnerable to failures of the system components especially pipes. Availability of a map showing different levels of WDN vulnerability will help to set the priority of rehabilitation and maintenance activities in different parts of the system. For developing vulnerability zones, it is needed to have an evaluation about the vulnerability of system components. Water mains are the main components of WDNs which are more exposed to failure. The extent and frequency of pipes' failure are related to the physical and hydraulic characteristics of pipe in a WDN. In this study, a set of these factors is used to predict the vulnerability of each pipe and they are then classified based on severity of probable failure. Due to relatively large number of factors affecting pipe failure, MRMR (Minimum Redundancy and Maximum Relevance) method is used to choose the main factors in pipe failure prediction with higher correlation with failure probability and less redundancy (transinformation) among themselves. This approach is an effective way in determining the optimal set of factors in system's vulnerability evaluation. Each of these factors affects a pipe condition in different levels therefore it is needed to prioritize them in evaluation of the general condition of a pipe. In this study, a combined vulnerability assessment of a pipe network is carried out that includes assessment of each pipe based on predefined criteria using Analytical Hierarchy Process (AHP). Then 5 classes of pipe vulnerability are defined based on their failure probability and the vulnerability zones of the system are developed. The proposed framework helps decision makers to have a better understanding of the system vulnerable components and needed rehabilitation practices of WDN.
机译:水分配网络(WDN)非常容易受到系统组件的故障尤其是管道的影响。显示不同级别的WDN漏洞的地图的可用性将有助于在系统的不同部分中设置康复和维护活动的优先级。对于开发漏洞区域,需要对系统组件的脆弱性进行评估。水线是WDN的主要组成部分,其更暴露于失败。管道失效的程度和频率与WDN中的管道的物理和液压特性有关。在这项研究中,一些这些因素用于预测每个管道的脆弱性,然后基于可能的失败的严重程度来分类。由于影响管道故障的相对较大的因素,MRMR(最小冗余和最大相关性)方法用于选择管道故障预测中的主要因素,与故障概率和较少的冗余(Transinformation)之间的相关性更高。这种方法是确定系统漏洞评估中最佳因素集的有效方法。这些因素中的每一个都影响不同级别的管道条件,因此需要在评估管道的一般条件时优先考虑它们。在该研究中,执行管网的组合漏洞评估,包括使用分析层次处理(AHP)的预定标准对每个管道的评估。然后根据其故障概率定义了5类的管道漏洞,并且开发了系统的漏洞区域。拟议的框架有助于决策者更好地了解系统易受攻击的部件以及WDN的需要康复实践。

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