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Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia

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dc.citedby6
dc.contributor.authorChe Wan Zanial W.N.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorMd Reba M.N.en_US
dc.contributor.authorZaini N.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorSherif M.en_US
dc.contributor.authorElshafie A.en_US
dc.contributor.authorid57205239441en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid57222067435en_US
dc.contributor.authorid56905328500en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid7005414714en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2024-10-14T03:18:12Z
dc.date.available2024-10-14T03:18:12Z
dc.date.issued2023
dc.description.abstractThe hydropower Plant in Terengganu is one of the major hydroelectric dams currently operated in Malaysia. For better operating and scheduling, accurate modelling of natural inflow is vital for a hydroelectric dam. The rainfall-runoff model is among the most reliable models in predicting the inflow based on the rainfall events. Such a model's reliability depends entirely on the reliability and consistency of the rainfall events assessed. However, due to the hydropower plant's remote location, the cost associated with maintaining the installed rainfall stations became a burden. Therefore, the study aims to create a continuous set of rainfall data before, during, and after the construction of a hydropower plant and simulate a rainfall-runoff model for the area. It also examines the reliability of alternative methods by combining rainfall data from two sources: the general circulation model and tropical rainfall measuring mission. Rainfall data from ground stations and generated data using inverse distance weighted method will be compared. The statistical downscaling model will obtain regional rainfall from the general circulation model. The data will be divided into three stages to evaluate the accuracy of the models in capturing inflow changes. The results revealed that rainfall data from TRMM is more correlated to ground station data with R2 = 0.606, while SDSM data has R2 = 0.592. The proposed inflow model based on GCM-TRMM data showed higher precision compared to the model using ground station data. The proposed model consistently predicted inflow during three stages with R2 values ranging from 0.75 to 0.93. � 2023 The Authorsen_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe15740
dc.identifier.doi10.1016/j.heliyon.2023.e15740
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85153590862
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85153590862&doi=10.1016%2fj.heliyon.2023.e15740&partnerID=40&md5=377c9c74c81d7489708bc123a986f438
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34160
dc.identifier.volume9
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleHeliyon
dc.subjectGCM
dc.subjectHydropower plant
dc.subjectInflow
dc.subjectSDSM
dc.subjectTRMM
dc.titleRainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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