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An exact multiobjective optimization approach for evaluating water distribution infrastructure criticality and geospatial interdependence
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|Authors:||Abdel-Mottaleb, N.; Ghasemi Saghand, P.; Charkhgard, H.; Zhang, Q.|
|Author Affiliations:||Primary: |
University of South Florida, Department of Civil and Environmental Engineering, Tampa, FL, United States
|Volume Title:||Water Resources Research|
|Source:||Water Resources Research, 55(7), p.5255-5276. Publisher: American Geophysical Union, Washington, DC, United States. ISSN: 0043-1397|
|Note:||In English. 50 refs.; illus., incl. 2 tables, sketch maps|
|Summary:||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. Abstract Copyright (2019), . American Geophysical Union. All Rights Reserved.|
|Subjects:||Decision-making; Mathematical methods; Optimization; Spatial data; Statistical analysis; Water management; Water resources; Water supply; Florida; Hillsborough County Florida; United States; Kolmogorov-Smirnov test; Tampa Florida|
|Coordinates:||N273700 N280900 W0820200 W0823700|
|Copyright Information:||GeoRef, Copyright 2020 American Geosciences Institute. Reference includes data from John Wiley & Sons, Chichester, United Kingdom|
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