Publication:
Application of Stochastic Flood Forecasting Model Using Regression Method for Kelantan Catchment

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dc.citedby3
dc.contributor.authorOsman S.en_US
dc.contributor.authorAziz N.A.en_US
dc.contributor.authorHusaif N.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorShakirah A.en_US
dc.contributor.authorHanum F.en_US
dc.contributor.authorBasri H.en_US
dc.contributor.authorid57189233135en_US
dc.contributor.authorid57204417425en_US
dc.contributor.authorid57204434706en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid57189241320en_US
dc.contributor.authorid57204434777en_US
dc.contributor.authorid57065823300en_US
dc.date.accessioned2023-05-29T06:51:04Z
dc.date.available2023-05-29T06:51:04Z
dc.date.issued2018
dc.descriptionCatchments; Disasters; Flood control; Floods; Land use; Least squares approximations; Offshore oil well production; Regression analysis; Rivers; Stochastic models; Stochastic systems; Storms; Watersheds; Flood forecasting; Flood forecasting models; Flood prone area; Least square principle; Mitigation measures; Natural disasters; Regression coefficient; Regression method; Weather forecastingen_US
dc.description.abstractFlood is without doubt the most devastating natural disasters, striking numerous regions in Malaysia each year. During the last decades, the trend in flood damages has been growing exponentially. This is a consequence of the increasing frequency of heavy rain, changes in upstream land-use and a continuously increasing concentration of population and assets in flood prone areas. Malaysia, periodically, have faced with huge floods since previous years. Kelantan River basin, which located in the Northeast of Peninsular Malaysia, is prone to flood events in Malaysia. Kelantan River is the principal cause of flooding because it is constricted at its lower reaches. The capacity of the river at the downstream coastal area is less than 10,000 m3/s, therefore flood that exceeds this capacity will overspill the banks and discharge overland to the sea. Realizing the seriousness of the problems, it is vital in providing in time useful information for making crucial decisions especially to provide warning for any potential flood occurrence. In this study, stochastic flood forecasting model using stage regression method was applied to Kelantan River basin, in which the regression coefficients and equations was derived from the least square principle. The stochastic model were calibrated and validated which then shows that the equations derived are suitable to predict the hydrograph in Kelantan River basin. In conclusion, establishing a flood forecasting system would enhance the effectiveness of all other mitigation measures by providing time for appropriate actions. This has increased the importance of flood modelling for flood forecasts to issue advance warning in severe storm situations to reduce loss of lives and property damage. � The Authors, published by EDP Sciences, 2018.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7001
dc.identifier.doi10.1051/matecconf/201820307001
dc.identifier.scopus2-s2.0-85055574952
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85055574952&doi=10.1051%2fmatecconf%2f201820307001&partnerID=40&md5=250ac8d7c829e55b399480efce7f17f6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23697
dc.identifier.volume203
dc.publisherEDP Sciencesen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleMATEC Web of Conferences
dc.titleApplication of Stochastic Flood Forecasting Model Using Regression Method for Kelantan Catchmenten_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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