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

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Title Prediction of sediment yield in a data-scarce river catchment at the sub-basin scale using gridded precipitation datasets
 
Creator Ijaz, 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.
 
Subject sediment yield
forecasting
river basins
catchment areas
precipitation
datasets
hydrological modelling
watershed management
dams
runoff
sediment load
soil erosion
soil types
land use
rain
semiarid zones
spatial distribution
 
Description Water-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.
 
Date 2022-05-05
2022-05-23T20:44:06Z
2022-05-23T20:44:06Z
 
Type Journal Article
 
Identifier Ijaz, 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]
2073-4441
https://hdl.handle.net/10568/119637
https://www.mdpi.com/2073-4441/14/9/1480/pdf?version=1652347380
https://doi.org/10.3390/w14091480
H051151
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 14(9):1480. (Special issue: Innovate Approaches to Sustainable Water Resource Management under Population Growth, Lifestyle Improvements, and Climate Change)
 
Publisher MDPI AG
 
Source Water