Conceptual Water Main Failure Risk: Self-Excitation, Pipe Age, and Statistical Modeling Performance
Publication: Journal of Water Resources Planning and Management
Volume 150, Issue 10
Abstract
Statistical water main failure models that improve our understanding of main breaks may help water utilities allocate resources more efficiently. A variety of statistical models have been developed, but few actively seek to replicate empirical main break behavior. Furthermore, the prevailing conceptual model of how failure risk changes over the lifetime of a water main, which includes self-excitation, is based on limited empirical evidence. We investigate self-excitation and pipe aging behavior using data describing a large cohort of water mains, present a statistical model that includes self-excitation, and compare the performance of several published models both with and without self-excitation. The failure data suggest that temporal clustering is occurring, which may be caused by self-excitation; however, the modeling results suggest that including self-excitation in failure models may not be worth the additional required resources. Researchers and practitioners should investigate their data and assess their specific goals and available resources to determine which modeling approach is most appropriate.
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Data Availability Statement
Some or all data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
Many thanks to Alex Reinhart, Adrian Baddeley, Ege Rubak, and Rolf Turner for advice regarding point process modeling. Thanks to Yoni Ackerman for providing technical assistance. Thanks to Nicholas Reseburg (EBMUD) for GIS data assistance. Jiancang Zhuang was partially supported by Grants-in-Aid No. 19H04073 for Scientific Research from the Japan Society for the Promotion of Science (JSPS). This study was funded by East Bay Municipal Utility District under Agreement 2017-450-D. Any opinions, findings, and conclusions expressed in this work are those of the authors and do not necessarily reflect the views of the funding agency.
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This work is made available under the terms of the Creative Commons Attribution 4.0 International license, https://creativecommons.org/licenses/by/4.0/.
History
Received: Oct 7, 2023
Accepted: Apr 3, 2024
Published online: Aug 6, 2024
Published in print: Oct 1, 2024
Discussion open until: Jan 6, 2025
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