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dc.contributor.authorSun, Xinlei
dc.contributor.authorLuo, Yuanyuan
dc.contributor.authorPi, Xiaoqing
dc.contributor.authorFei, Xunchang
dc.contributor.authorBate, Bate
dc.contributor.authorGuo, Yuliang
dc.date.accessioned2026-08-20T10:54:33Z
dc.date.available2026-08-20T10:54:33Z
dc.date.copyright2025/09/26
dc.date.issued2025
dc.identifier.otherJGGEFK.GTENG-13442.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311427
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Priori Estimation of the Saturated Hydraulic Conductivity of Municipal Solid Waste Using Empirical and Machine Learning Methods
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue12
dc.journal.titleJournal of Geotechnical and Geoenvironmental Engineering
dc.identifier.doi10.1061/JGGEFK.GTENG-13442
dc.journal.fristpage04025152-1
dc.journal.lastpage04025152-14
dc.page14
dc.treeJournal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 012
dc.contenttypeFulltext


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