Publication:
Prediction of Runoff in Watersheds Located within Data-Scarce Regions

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dc.contributor.authorGhanim A.A.J.en_US
dc.contributor.authorBeddu S.en_US
dc.contributor.authorAbd Manan T.S.B.en_US
dc.contributor.authorAl Yami S.H.en_US
dc.contributor.authorIrfan M.en_US
dc.contributor.authorMursal S.N.F.en_US
dc.contributor.authorMohd Kamal N.L.en_US
dc.contributor.authorMohamad D.en_US
dc.contributor.authorMachmudah A.en_US
dc.contributor.authorYavari S.en_US
dc.contributor.authorMohtar W.H.M.W.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorRasdi N.W.en_US
dc.contributor.authorKhan T.en_US
dc.contributor.authorid57210192561en_US
dc.contributor.authorid55812080500en_US
dc.contributor.authorid57219650719en_US
dc.contributor.authorid57782985200en_US
dc.contributor.authorid35069404400en_US
dc.contributor.authorid57219650352en_US
dc.contributor.authorid56239107300en_US
dc.contributor.authorid57200335404en_US
dc.contributor.authorid36442829100en_US
dc.contributor.authorid57521992400en_US
dc.contributor.authorid57215829072en_US
dc.contributor.authorid6506760282en_US
dc.contributor.authorid56446926400en_US
dc.contributor.authorid54991181500en_US
dc.date.accessioned2023-05-29T09:37:04Z
dc.date.available2023-05-29T09:37:04Z
dc.date.issued2022
dc.descriptionarid environment; catchment; design flood; flood routing; hydrograph; hydrological modeling; peak flow; prediction; rainfall-runoff modeling; runoff; streamflow; watershed; Jordanen_US
dc.description.abstractThe interest in the use of mathematical models for the simulation of hydrological processes has largely increased especially in the prediction of runoff. It is the subject of extreme research among engineers and hydrologists. This study attempts to develop a simple conceptual model that reflects the features of the arid environment where the availability of hydrological data is scarce. The model simulates an hourly streamflow hydrograph and the peak flow rate for any given storm. Hourly rainfall, potential evapotranspiration, and streamflow record are the significant input prerequisites for this model. The proposed model applied two (2) different hydrologic routing techniques: the time area curve method (wetted area of the catchment) and the Muskingum method (catchment main channel). The model was calibrated and analyzed based on the data collected from arid catchment in the center of Jordan. The model performance was evaluated via goodness of fit. The simulation of the proposed model fits both (a) observed and simulated streamflow and (b) observed and simulated peak flow rate. The model has the potential to be used for peak discharges� prediction during a storm period. The modeling approach described in this study has to be tested in additional catchments with appropriate data length in order to attain reliable model parameters. � 2022 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7986
dc.identifier.doi10.3390/su14137986
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85133551325
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85133551325&doi=10.3390%2fsu14137986&partnerID=40&md5=610f27998c860a98fda1ee8d2d41a422
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26834
dc.identifier.volume14
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleSustainability (Switzerland)
dc.titlePrediction of Runoff in Watersheds Located within Data-Scarce Regionsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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