Parameter Uncertainty Analysis for Streamflow Simulation Using SWAT Model in Nashe Watershed, Blue Nile River Basin, Ethiopia

The hydrological model is an important tool in water resource management, allocation, and prediction. However, the models are subject to uncertainty resulting from different sources of errors involved large number parameters. management resources play a very significant role quantifying uncertainty. Therefore, analysis implementation essential advance confidence modeling before performing simulation. purpose study was assess parameters for streamflow using Soil Water Assessment Tool (SWAT) integrated sequential fitting (SUFI-2) algorithm Nashe watershed located Northwestern, Upper Blue Nile River Basin. required input data this were digital elevation model, land use, soil map data, meteorological (precipitation, minimum maximum temperature, wind speed, solar radiation, relative humidity), data. calibration validation computed simulate observed 1985 2008 including two years warm-up periods. Model calibration, validation, parameter conducted both daily monthly streamflows at gauging stations through SUFI-2, which one algorithms SWAT-Calibration Uncertainty Program (SWAT_CUP). results show that CN_2, GW_DELAY, ALPHA_BNK, CH_N2, SOL_AWC most sensitive period had great impact on Modeling indicated method provides better time than validation. result R2 NSE 0.89 0.85 0.82 0.79, respectively, during calibration. likewise demonstrated good performance with 0.88 0.78 0.76, provide scientific reference based decision-makers improve decision support process river basin management.