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    Double-Layer Data-Driven Risk Assessment and Prediction of Drainage Pipeline Networks

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001::page 04025086-1
    Author:
    Wang, Zhoufeng
    ,
    Chen, Jialei
    ,
    Li, Quanxi
    ,
    Xie, Kaiyu
    ,
    Pu, Chaodong
    DOI: 10.1061/JPSEA2.PSENG-1799
    Publisher: American Society of Civil Engineers
    Abstract: AbstractSewage pipeline network accidents occur frequently, posing a serious threat to the life and property safety of residents. There is an urgent need for methods that can effectively identify the key factors of pipeline risk as well as accurately ...
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      Double-Layer Data-Driven Risk Assessment and Prediction of Drainage Pipeline Networks

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313056
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    contributor authorWang, Zhoufeng
    contributor authorChen, Jialei
    contributor authorLi, Quanxi
    contributor authorXie, Kaiyu
    contributor authorPu, Chaodong
    date accessioned2026-08-20T12:04:14Z
    date available2026-08-20T12:04:14Z
    date copyright2025/09/25
    date issued2026
    identifier otherJPSEA2.PSENG-1799.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313056
    description abstractAbstractSewage pipeline network accidents occur frequently, posing a serious threat to the life and property safety of residents. There is an urgent need for methods that can effectively identify the key factors of pipeline risk as well as accurately ...
    publisherAmerican Society of Civil Engineers
    titleDouble-Layer Data-Driven Risk Assessment and Prediction of Drainage Pipeline Networks
    typeJournal Article
    journal volume17
    journal issue1
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1799
    journal fristpage04025086-1
    journal lastpage04025086-10
    page10
    treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
    contenttypeFulltext
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