Modeling runoff and sediment yield at the event scale in semiarid watersheds

• Published in: International Soil and Water Conservation Research
• Main Authors: Wei, Haiyan, Polyakov, Viktor, Goodrich, David, Efrat, Morin, Guertin, Phillip David, Assouline, Shmuel, Heilman, Phil, Unkrich, Carl, Shmilovich, Yuval, Marra, Francesco
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2025
• Subjects: K2-RHEM; Watershed modeling; WGEW; K2-RHEM; Watershed modeling; WGEW
• ISSN: 2095-6339
• DOI: 10.1016/j.iswcr.2025.07.001

K2-RHEM, a recently integrated event-based rangeland watershed model, represents one of the few process-based models available for rangeland applications. However, to gain wider acceptance and demonstrate its reliability, comprehensive evaluation results are essential. In this study, K2-RHEM was evaluated in five small semi-arid watersheds within the USDA-ARS Walnut Gulch Experimental Watershed. Using extensive runoff and sediment data, along with field surveys on channel heads, soil textures, and channel cross-sections, the model showed strong performance in predicting hydrology metrics without calibration: NS ranged from 0.53 to 0.87 and KGE from 0.54 to 0.88 for runoff; NS from 0.59 to 0.85 and KGE from 0.69 to 0.90 for runoff peak; and NS from 0.98 to 0.99 and KGE from 0.94 to 0.98 for time to peak. Sediment yield predictions were particularly accurate in watersheds with significant channel incisions, with NS of 0.65 and KGE of 0.79. Good sediment yield calibration and validation results were achieved in three watersheds, and reasonable results achieved in the smallest watershed. Sediment yield and runoff peak were found to be sensitive to level of watershed discretization. Improved model performance was seen with additional rain gauges even in small watersheds. These findings demonstrate the potential of K2-RHEM as a reliable tool for the prediction of hydrology and erosion for small-scale rangeland watershed management and highlight the importance of both proper watershed discretization and rainfall data resolution in model applications.