Abstract
Predicting Sewer Conditions for Large Collection Systems: The L.A. ExperienceThe 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...Author(s)Regidia MayrenaC. Bryan TrussellFernando GonzalezDoug WaltersAli PoostiSourceProceedings of the Water Environment FederationSubjectSession 10: Asset Management - New Tools to Repair Old ProblemsDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2011ISSN1938-6478SICI1938-6478(20110101)2011:18L.454;1-DOI10.2175/193864711802638968Volume / Issue2011 / 18Content sourceWEFTECFirst / last page(s)454 - 457Copyright2011Word count103Subject keywordsCondition assessmentcollection systems planning toolspredictive modelingwastewaterGIS applications
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