2 and seventeen watersheds have been delineated using ARC SWAT. Some of the major watersheds are that of Pahuj, Parbati, Kunwari, Vaishali, and Upper Sind catchment. The drainage network has been extracted and the patterns of the drainage have been studied. It was concluded that this methodology is also suitable for low spatial resolution of DEM (30 m). Further for the delineation of several watersheds from a large area technique, not only saves time but also provides splendid results. The study demonstrates the importance and reliability of ARC SWAT tool for automated delineation of watersheds and drainage network from ASTER data.
">Watershed is one of the important essential content for many multidisciplinary researches such as water harvesting, watershed management, morphometric analyses, land use and land cover change analyses, soil types, geology, geomorphological analyses, river flows studies etc. The delineation of watershed can be done either manually from topographic sheets or derived from Digital Elevation Model (DEM) data using computational methods. In the last few decades, Geographic Information Systems (GIS) are proving valuable tools in many hydrological as well as natural resources environments. In the present study, automated spatial delineation of watersheds have been done using ASTER DEM data with the help of ARC SWAT (Soil and Water Assessment Tool) model. This methodology is executed on a geospatial software such as ARC GIS in which ARC SWAT performed as a tool of ARC GIS. The Sind River basin has been taken as the study area which covers about 27,905 km2 and seventeen watersheds have been delineated using ARC SWAT. Some of the major watersheds are that of Pahuj, Parbati, Kunwari, Vaishali, and Upper Sind catchment. The drainage network has been extracted and the patterns of the drainage have been studied. It was concluded that this methodology is also suitable for low spatial resolution of DEM (30 m). Further for the delineation of several watersheds from a large area technique, not only saves time but also provides splendid results. The study demonstrates the importance and reliability of ARC SWAT tool for automated delineation of watersheds and drainage network from ASTER data.