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Predicting Sewer Conditions for Large Collection Systems: The L.A. Experience

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Abstract:

The purpose of this presentation is to discuss a cost-effective method to evaluate the risk of failure to prioritize pipes for inspection based on a sewer condition prediction algorithm. This sewer condition prediction algorithm utilizes pipe age, material, slope, and pipe length in its risk of failure determination. The algorithm could easily be adjusted to incorporate additional factors such as the installation date of a pipe liner, projected total daily wastewater volume conveyed, etc. The algorithm could be executed using a relational database management system such as Microsoft SQL or Microsoft Office Access.

Keywords: Condition assessment; GIS applications; collection systems planning tools; predictive modeling; wastewater

Document Type: Research Article

DOI: http://dx.doi.org/10.2175/193864711802638968

Publication date: January 1, 2011

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  • Proceedings of the Water Environment Federation is an archive of papers published in the proceedings of the annual Water Environment Federation® Technical Exhibition and Conference (WEFTEC® ) and specialty conferences held since the year 2000. These proceedings are not peer reviewed.

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