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An evaluation of existent methods for estimation of embankment dam breach parameters

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dc.citedby24
dc.contributor.authorSammen S.S.en_US
dc.contributor.authorMohamed T.A.en_US
dc.contributor.authorGhazali A.H.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57192093108en_US
dc.contributor.authorid7006371182en_US
dc.contributor.authorid57211811043en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T06:38:44Z
dc.date.available2023-05-29T06:38:44Z
dc.date.issued2017
dc.descriptionartificial neural network; dam failure; embankment dam; peak discharge; uncertainty analysisen_US
dc.description.abstractThe study of dam-break analysis is considered important to predict the peak discharge during dam failure. This is essential to assess economic, social and environmental impacts downstream and to prepare the emergency response plan. Dam breach parameters such as breach width, breach height and breach formation time are the key variables to estimate the peak discharge during dam break. This study presents the evaluation of existing methods for estimation of dam breach parameters. Since all of these methods adopt regression analysis, uncertainty analysis of these methods becomes necessary to assess their performance. Uncertainty was performed using the data of more than 140 case studies of past recorded failures of dams, collected from different sources in the literature. The accuracy of the existing methods was tested, and the values of mean absolute relative error were found to be ranging from 0.39 to 1.05 for dam breach width estimation and from 0.6 to 0.8 for dam failure time estimation. In this study, artificial neural network (ANN) was recommended as an alternate method for estimation of dam breach parameters. The ANN method is proposed due to its accurate prediction when it was applied to similar other cases in water resources. � 2017, Springer Science+Business Media Dordrecht.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11069-017-2764-z
dc.identifier.epage566
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85011309625
dc.identifier.spage545
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85011309625&doi=10.1007%2fs11069-017-2764-z&partnerID=40&md5=4728002d7c29f8de7650b1480e91e79b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23244
dc.identifier.volume87
dc.publisherSpringer Netherlandsen_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleNatural Hazards
dc.titleAn evaluation of existent methods for estimation of embankment dam breach parametersen_US
dc.typeArticleen_US
dspace.entity.typePublication
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