Drinking Water Pipeline Failure Analysis Based on Spatiotemporal Clustering and Poisson Regression
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 12, Issue 1
Abstract
Extended high fluctuations of internal water pressure have often been causally linked to pipeline failures in water distribution systems, especially when this exposure has continued over many years. However, as yet, there is little solid quantitative evidence to support this in real water systems. This paper examines the impact of internal pressure and other critical parameters on the integrity of water pipelines in five districts operated by a California water utility. Eight years of data from the utility’s Annual Pressure Survey and of water pipeline failure data were collectively analyzed using spatiotemporal clustering tools and a Poisson regression model. The analytical procedures and results presented in this paper are designed to support both the water utility’s short-term operations and its long-term programmatic drinking water pipeline planning and management practices.
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Data Availability Statement
Some or all pipeline layout/failure data, GIS models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data).
Acknowledgments
The authors would like to thank the California Water Service Company for providing the funding for this research.
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 12 • Issue 1 • February 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Feb 26, 2020
Accepted: Jul 27, 2020
Published online: Oct 23, 2020
Published in print: Feb 1, 2021
Discussion open until: Mar 23, 2021
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