Sensitivity analysis for streamflow parameters using SUFI-2 Algorithm of SWAT-CUP

Abstract

A watershed is regarded as the fundamental unit for the planning and execution of conservation and resource management initiatives. The first stage in creating efficient watershed management and planning strategies is to evaluate the temporal and spatial variations in runoff and soil erosion. Recent advancements in hydrological research, computational tools, and modelling approaches have facilitated the development of sophisticated simulation models that include GIS for thorough watershed analysis. The Soil and Water Assessment Tool (SWAT) semi-distributed model intended to simulate hydrological and water quality processes over extended durations at the watershed scale. Finding the most sensitive parameters for streamflow aids in lowering uncertainty and increasing model prediction accuracy. This study employed the SUFI-2 (Sequential Uncertainty Fitting-2) algorithm of SWAT-CUP (SWAT-Calibration and Uncertainty Programme) to conduct a sensitivity analysis of streamflow parameters for the Karad sub-basin in Maharashtra, India. The SCS Curve Number for moisture condition II (CN2) identified as the most sensitive parameter affecting streamflow among twenty examined parameters for the study area.