Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets

Water-related soil erosion is a major environmental concern for catchments with barren topography in arid and semi-arid regions. With the growing interest irrigation infrastructure development regions, current study investigates runoff sediment yield Gomal River catchment, Pakistan. Data from precipitation gauge gridded products (i.e., GPCC, CFSR, TRMM) were used as input SWAT model to simulate yield. TRMM shows good agreement data of (≈1%) during period, i.e., 2004–2009. However, simulations show that GPCC predicts better than other datasets. Similarly, predicted was computed one at gauging site (only 3% overestimated) period. Moreover, overestimated some years despite underestimation flows catchment. The relationship yields sub-basin level using datasets revealed correlation (R2 = 0.65) helped identify locations sites catchment area. results showed located downstream dam contributes three (3) times more 4.1%) barrage its corresponding findings potential usefulness computation spatial distribution over data-scarce catchments. computations scale provide valuable information deciding watershed management strategies level.