An Exact Multiobjective Optimization Approach for Evaluating Water Distribution Infrastructure Criticality and Geospatial Interdependence
An Exact Multiobjective Optimization Approach for Evaluating Water Distribution Infrastructure Criticality and Geospatial Interdependence
复制标题
DOI：
10.1029/2018wr024063
复制
发表时间：
2019-07
影响因子：
5.4
通讯作者：
N. Abdel-Mottaleb;P. G. Saghand;H. Charkhgard;Qiong Zhang
中科院分区：
文献类型：
--
作者：
N. Abdel-Mottaleb;P. G. Saghand;H. Charkhgard;Qiong Zhang
配水系统内的故障通常不是孤立的，往往会传播到相应的交通基础设施，但大多数的关键性和弹性分析的配水网络进行的个别水基础设施，没有考虑到相互依赖性。为了解决这一研究空白，本研究探讨了如何确定在供水系统中的关键组件可能是不同的故障传播到运输道路网络时，占。在本研究中，假设故障传播是基于地理空间相互依存且单向的，从配水网络组件到交通网络组件。考虑到两个基础设施之间的相互依赖性，构建了一个逻辑交互网络，并使用多目标优化来解决关键的配水组件，考虑：故障数量，性能损失和财务成本。这项工作提出了一个模块化的配水关键性分析的工作流程，并提出了解决方案集之间的Kolmogorov-Smirnov距离统计作为衡量决策相互依赖性的重要性。案例研究的结果表明，随着水基础设施故障的程度超过阈值，水分配和运输之间的相互依赖性变得更加重要。对于坦帕市，当超过40个组件失效（被隔离）时，仅使用配水信息识别的关键组件与同时使用配水和运输信息识别的关键组件之间的差异显著不同（置信度大于95%）。这些结果将有助于公用事业公司进行资产管理和战略评估，帮助优先考虑部件维修，并更好地为关键的相互依赖的基础设施分配资源。
Failures within water distribution systems are usually not isolated and tend to propagate to corresponding transportation infrastructure, yet most criticality and resilience analyses of water distribution networks are conducted for the individual water infrastructure without accounting for interdependence. To address this research gap, this study investigates how the critical components identified within water distribution systems may be different when accounting for failure propagation to the transportation road network. In this study, failure propagation is assumed to be based on geospatial interdependence and unidirectional, starting from water distribution network components to transportation network components. A logical interaction network is constructed considering the interdependence between both infrastructures, and multiobjective optimization is used to solve for the critical water distribution components considering: quantity of failures, performance loss, and financial costs. This work presents a modular workflow for water distribution criticality analysis and proposes the Kolmogorov‐Smirnov distance statistic between solution sets as a measure of the significance of interdependency for decision making. Results from the case study suggest that as the magnitude of water infrastructure failure increases beyond a threshold, the interdependency between water distribution and transportation becomes more significant. The difference between identified critical components using only information from water distribution and using both water distribution and transportation is significantly different (with greater than 95% confidence) for the city of Tampa, when more than 40 components fail (are isolated). These results will assist utilities in asset management and strategy assessment, by helping prioritize component repair and better allocate resources for critical interdependent infrastructures.