Stormwater Pipe Performance Index Using Fuzzy Inference Method
Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 10
Abstract
Stormwater utility managers have limited resources and funds to manage their pipe systems. To effectively make decisions on allocating limited resources and funds, a utility should be able to understand and assess the performance of its pipe system. There is no standard rating system or comprehensive list of performance parameters for stormwater pipe infrastructure. Previous research has identified performance parameters affecting stormwater pipes and developed a performance index using a weighted factor method. However, the weighted performance index model does not capture interdependencies between performance parameters. This paper develops a comprehensive list of parameters affecting stormwater pipe performance. This paper also develops a performance index using a fuzzy inference method to capture interdependencies among parameters. The performance index was evaluated and validated with the pipe ratings provided by one stormwater utility to document its effectiveness in real-world conditions.
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Acknowledgments
We gratefully acknowledge Sustainable Water Infrastructure Management (SWIM) Center, Virginia Tech for funding this project. We would like to show gratitude to the members of SWIM Center for their continuous support throughout the project. We are grateful to the participating utilities and utility personnel who described their asset management processes and provided us valuable information.
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Information & Authors
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Published In
Journal of Water Resources Planning and Management
Volume 144 • Issue 10 • October 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: May 23, 2017
Accepted: Feb 27, 2018
Published online: Jul 19, 2018
Published in print: Oct 1, 2018
Discussion open until: Dec 19, 2018
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