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    A Priori Estimation of the Saturated Hydraulic Conductivity of Municipal Solid Waste Using Empirical and Machine Learning Methods

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 012::page 04025152-1
    Author:
    Sun, Xinlei
    ,
    Luo, Yuanyuan
    ,
    Pi, Xiaoqing
    ,
    Fei, Xunchang
    ,
    Bate, Bate
    ,
    Guo, Yuliang
    DOI: 10.1061/JGGEFK.GTENG-13442
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe saturated hydraulic conductivity (kS) of municipal solid waste (MSW) is important for understanding leachate movement in landfills. Previous prediction models for MSW kS were developed using a limited amount of data obtained from localized MSW but ...
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      A Priori Estimation of the Saturated Hydraulic Conductivity of Municipal Solid Waste Using Empirical and Machine Learning Methods

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311427
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    • Journal of Geotechnical and Geoenvironmental Engineering

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    contributor authorSun, Xinlei
    contributor authorLuo, Yuanyuan
    contributor authorPi, Xiaoqing
    contributor authorFei, Xunchang
    contributor authorBate, Bate
    contributor authorGuo, Yuliang
    date accessioned2026-08-20T10:54:33Z
    date available2026-08-20T10:54:33Z
    date copyright2025/09/26
    date issued2025
    identifier otherJGGEFK.GTENG-13442.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311427
    description abstractAbstractThe saturated hydraulic conductivity (kS) of municipal solid waste (MSW) is important for understanding leachate movement in landfills. Previous prediction models for MSW kS were developed using a limited amount of data obtained from localized MSW but ...
    publisherAmerican Society of Civil Engineers
    titleA Priori Estimation of the Saturated Hydraulic Conductivity of Municipal Solid Waste Using Empirical and Machine Learning Methods
    typeJournal Article
    journal volume151
    journal issue12
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/JGGEFK.GTENG-13442
    journal fristpage04025152-1
    journal lastpage04025152-14
    page14
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 012
    contenttypeFulltext
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