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Bayesian Failure Localization Identifies Inconsistencies between Water Distribution Network Models and Real-World Conditions

dc.contributor.authorKöse, G.
dc.contributor.authorSalgado Zamora, J. D.
dc.contributor.authorOsmancevic, E.
dc.contributor.authorJanotte, F.
dc.contributor.authorOladyshkin, S.
dc.contributor.authorNowak, W.
dc.date.accessioned2026-08-20T21:05:09Z
dc.date.available2026-08-20T21:05:09Z
dc.date.copyright2025/07/14
dc.date.issued2025
dc.identifier.otherJWRMD5.WRENG-6786.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313927
dc.description.abstractAbstractAccurately calibrated models of water distribution networks (WDNs) are crucial in predicting system behavior. However, besides imperfect calibration, more fundamental inconsistencies between WDN models and real WDNs may come from unforeseen ...
dc.publisherAmerican Society of Civil Engineers
dc.titleBayesian Failure Localization Identifies Inconsistencies between Water Distribution Network Models and Real-World Conditions
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue9
dc.journal.titleJournal of Water Resources Planning and Management
dc.identifier.doi10.1061/JWRMD5.WRENG-6786
dc.journal.fristpage04025047-1
dc.journal.lastpage04025047-11
dc.page11
dc.treeJournal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 009
dc.contenttypeFulltext


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