Analysis of Hydrologic Parameters using SWAT Model: A Case Study of Subbasin of Vishwamtri Watershed, Gujarat, India

Extraction of watershed parameters using Remote Sensing and Geographical Information System (GIS) and use of mathematical models is the current trend for hydrologic evaluation of watersheds. The Soil and Water Assessment Tool (SWAT) having an interface with QGIS is adopted in the present study for the determination of various outputs, viz. Surface runoff, Base flow, Percolation, Potential evapotranspiration and Sediment load in Vishwamitri river watershed in Vadodara, Gujarat, India. Various data types required as input for the study comprises of Digital Elevation Models (DEM), Landuse/Landcover maps, Soil maps and Climate data. The Stream considered lies between 22° 13' to 22° 21' of north latitude and 73° 12' to 73° 13' of east longitude. Providing require inputs, SWAT model was simulated for 2003 to 2014. Analysis reveals that maximum rainfall was obtained in 2005 and minimum rainfall is obtained in 2009. In 2005, it is found out that the Precipitation is maximum, and the corresponding surface runoff in sub-basins 3 and 5 are having highest values of 767.04mm and 747.87mm respectively. Similarly, baseflow in sub-basin 3 & 5 are having lowest values of 298.20mm and 316.40mm respectively. The percolation in sub-basin 3 & 5 are also having the lowest values of 363.10mm and 381.70mm respectively. The Surface runoff, Base flow and Percolation were found out to be around 48%, 20% and 32% of the precipitation occurred in 2005, while amongst the average precipitation of the total period considered, the Surface runoff, Base flow and percolation are found out to be around 38%, 18% and 24% respectively. Citation: D. P. Navadiya, Dr. T. M. V. Suryanarayana. "Analysis of Hydrologic Parameters using SWAT Model: A Case Study of Subbasin of Vishwamtri Watershed, Gujarat, India." Global Research and Development Journal For Engineering [ERICE - 2019], Dr. S & S.S. Ghandhy Government Engineering College GTU, (February 2019) : pp. 361 - 366.