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Estimation of probable maximum precipitation for tropical catchment

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dc.citedby5
dc.contributor.authorSammen S.en_US
dc.contributor.authorMohamed T.en_US
dc.contributor.authorGhazali A.A.en_US
dc.contributor.authorSideq L.en_US
dc.contributor.authorAziz A.A.en_US
dc.contributor.authorid57192093108en_US
dc.contributor.authorid7006371182en_US
dc.contributor.authorid57211811043en_US
dc.contributor.authorid57202302323en_US
dc.contributor.authorid55511747600en_US
dc.date.accessioned2023-05-29T06:52:42Z
dc.date.available2023-05-29T06:52:42Z
dc.date.issued2018
dc.descriptionCatchments; Flood control; Precipitation (meteorology); Runoff; Duration curve; Extreme rainfall; Physical methods; Precipitation depths; Probable maximum floods; Probable maximum precipitation; Return periods; Statistical approach; Constructionen_US
dc.description.abstractProbable Maximum Precipitation (PMP) is the maximum precipitation depth for specific region or station within a certain time. The main purpose of PMP estimation is calculate the Probable Maximum Flood (PMF). The PMF is considered necessary for design and manage the hydraulic structures. PMP can be estimate using two methods, either using a physical method or by using statistical method. In this study, statistical approach was used to estimate the PMP for Temengor catchment in Perak state, Malaysia. Extreme value type-1 distribution (EV1) is adopted to estimate the extreme rainfall and Hershfeid method was used to estimate PMP value. Also, intensity duration curve (IDC) was derived for 1, 2 and 3 days storm duration with return period 5, 10, 50, 100, 500 years. The results showed that the values of PMP for 1000 return period are 222.361mm, 311.847mm and 348.307mm for 1, 2 and 3 days respectively. � The Authors, published by EDP Sciences, 2018.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo3012
dc.identifier.doi10.1051/matecconf/201816203012
dc.identifier.scopus2-s2.0-85047817701
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85047817701&doi=10.1051%2fmatecconf%2f201816203012&partnerID=40&md5=1d3762e3ba176417b90fcf5556fdcf5a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23878
dc.identifier.volume162
dc.publisherEDP Sciencesen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleMATEC Web of Conferences
dc.titleEstimation of probable maximum precipitation for tropical catchmenten_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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