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contributor authorKo, Taegon
contributor authorFarmani, Raziyeh
contributor authorKeedwell, Edward
contributor authorBeig Zali, Ramiz
date accessioned2026-08-20T21:05:53Z
date available2026-08-20T21:05:53Z
date copyright2025/07/03
date issued2025
identifier otherJWRMD5.WRENG-6958.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313945
description abstractAbstractFailures in water transmission lines (WTLs) can cause severe disruptions, high repair costs, and extensive damage to surrounding areas. The interest in proactive management through predictive methods as a way to mitigate these risks is growing. ...
publisherAmerican Society of Civil Engineers
titleRisk-Based Water Pipe Failure Prediction through Machine Learning and Hydraulic Models
typeJournal Article
journal volume151
journal issue9
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/JWRMD5.WRENG-6958
journal fristpage04025038-1
journal lastpage04025038-15
page15
treeJournal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 009
contenttypeFulltext


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