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    Risk-Based Water Pipe Failure Prediction through Machine Learning and Hydraulic Models

    Source: Journal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 009::page 04025038-1
    Author:
    Ko, Taegon
    ,
    Farmani, Raziyeh
    ,
    Keedwell, Edward
    ,
    Beig Zali, Ramiz
    DOI: 10.1061/JWRMD5.WRENG-6958
    Publisher: American Society of Civil Engineers
    Abstract: AbstractFailures 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. ...
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      Risk-Based Water Pipe Failure Prediction through Machine Learning and Hydraulic Models

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313945
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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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