Asset Management Decision Support Model for Water Distribution Systems: Impact of Water Pipe Failure on Road and Water Networks
Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 5
Abstract
Failure of a buried water pipeline can have an adverse effect on neighboring infrastructure, especially road networks. The impact of the failure of water pipelines on road networks and water distribution systems (WDSs) significantly increases the economic and social consequences of such failure. This paper presents a risk-informed decision support framework for WDSs considering the risk and the criticality of components to aid maintenance prioritization. The probability of water pipe failure is estimated using a physical probabilistic approach. The economic, operational, environmental, and social consequences of the failure of the integrated water and road segments are evaluated using 14 factors. The economic, operational, environmental, and social consequences are combined using fuzzy hierarchical inference to determine the overall consequence of the failure of each integrated segment (road and water network sharing the same geographical space). The risk of assets is determined by utilizing two approaches: risk equation and risk matrix. A shortest path–based network efficiency metric is then used to identify the impact of the failure of water pipelines on both infrastructure systems. The final decision alternatives are prepared by combining the outputs from the risk analysis and the network efficiency metric to prioritize maintenance tasks. A geospatial model is used to identify dependent road and collocated water segments sharing the same geographical space. The water and road networks of the Rancho Solano Zone III area of the city of Fairfield, California, are used to illustrate the proposed framework. The results show that the failure of a critical segment can have a significant impact on the efficiency of both networks. In the considered case study, the failure of a critical segment can result in about 7.5% and 9.6% system efficiency loss in the water and road networks, respectively. The proposed model is expected to assist in integrated municipal asset management decision-making.
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Data Availability Statement
The following data and code generated during the study are available from the corresponding author by request including consequence parameters data and MATLAB codes for fuzzy inference analysis.
Acknowledgments
This research was supported, in part, by the National Science Foundation (NSF) Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) under Grant No. NSF–1638320. This support is thankfully acknowledged. The authors also acknowledge Cleveland Water Department, particularly its commissioner Mr. Alex Margevicius, for their support of this project. However, the writers take sole responsibility for the views expressed in this paper, which may not represent the position of the NSF or their respective institutions.
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Journal of Water Resources Planning and Management
Volume 147 • Issue 5 • May 2021
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© 2021 American Society of Civil Engineers.
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Received: May 13, 2020
Accepted: Nov 15, 2020
Published online: Mar 10, 2021
Published in print: May 1, 2021
Discussion open until: Aug 10, 2021
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