Prediction of sediment yield in a data-scarce river catchment at the sub-basin scale using gridded precipitation datasets

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dc.creatorIjaz, M. A.
dc.creatorAshraf, M.
dc.creatorHamid, S.
dc.creatorNiaz, Y.
dc.creatorWaqas, M. M.
dc.creatorTariq, M. A. U. R.
dc.creatorSaifullah, M.
dc.creatorBhatti, Muhammad Tousif
dc.creatorTahir, A. A.
dc.creatorIkram, K.
dc.creatorShafeeque, M.
dc.creatorNg, A.W.M.
dc.date2022-05-05
dc.date2022-05-23T20:44:06Z
dc.date2022-05-23T20:44:06Z
dc.date.accessioned2026-06-27T18:27:39Z
dc.descriptionWater-related soil erosion is a major environmental concern for catchments with barren topography in arid and semi-arid regions. With the growing interest in irrigation infrastructure development in arid regions, the current study investigates the runoff and sediment yield for the Gomal River catchment, Pakistan. Data from a precipitation gauge and gridded products (i.e., GPCC, CFSR, and TRMM) were used as input for the SWAT model to simulate runoff and sediment yield. TRMM shows a good agreement with the data of the precipitation gauge (˜1%) during the study period, i.e., 2004–2009. However, model simulations show that the GPCC data predicts runoff better than the other gridded precipitation datasets. Similarly, sediment yield predicted with the GPCC precipitation data was in good agreement with the computed one at the gauging site (only 3% overestimated) for the study period. Moreover, GPCC overestimated the sediment yield during some years despite the underestimation of flows from the catchment. The relationship of sediment yields predicted at the sub-basin level using the gauge and GPCC precipitation datasets revealed a good correlation (R2 = 0.65) and helped identify locations for precipitation gauging sites in the catchment area. The results at the sub-basin level showed that the sub-basin located downstream of the dam site contributes three (3) times more sediment yield (i.e., 4.1%) at the barrage than its corresponding area. The findings of the study show the potential usefulness of the GPCC precipitation data for the computation of sediment yield and its spatial distribution over data-scarce catchments. The computations of sediment yield at a spatial scale provide valuable information for deciding watershed management strategies at the sub-basin level.
dc.identifierhttps://hdl.handle.net/10568/119637
dc.identifier.urihttp://hdl.handle.net/123456789/156554
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceIjaz, M. A.; Ashraf, M.; Hamid, S.; Niaz, Y.; Waqas, M. M.; Tariq, M. A. U. R.; Saifullah, M.; Bhatti, Muhammad Tousif; Tahir, A. A.; Ikram, K.; Shafeeque, M.; Ng, A. W. M. 2022. Prediction of sediment yield in a data-scarce river catchment at the sub-basin scale using gridded precipitation datasets. Water, 14(9):1480. (Special issue: Innovate Approaches to Sustainable Water Resource Management under Population Growth, Lifestyle Improvements, and Climate Change) [doi: https://doi.org/10.3390/w14091480]
dc.subjectsediment yield
dc.subjectforecasting
dc.subjectriver basins
dc.subjectcatchment areas
dc.subjectprecipitation
dc.subjectdatasets
dc.subjecthydrological modelling
dc.subjectwatershed management
dc.subjectdams
dc.subjectrunoff
dc.subjectsediment load
dc.subjectsoil erosion
dc.subjectsoil types
dc.subjectland use
dc.subjectrain
dc.subjectsemiarid zones
dc.subjectspatial distribution
dc.subjectbiochemistry
dc.titlePrediction of sediment yield in a data-scarce river catchment at the sub-basin scale using gridded precipitation datasets
dc.typeJournal Article

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