SOIL EROSION RISK ESTIMATION BY USING SEMI EMPIRICAL RUSLE MODEL: A CASE STUDY OF NUN WATERSHED, UTTARAKHAND

Day by day numerous population pressure on land and due industrialization there is a vigorous increase of temperature increase in atmosphere, acid rain along with Deforestation definitely degrade the quality the of land. It should have to evaluate the land for estimate the quality of soil and find out the nutrition status as well as the soil health. The present study with the help of Geographic Information System (GIS) platform to estimation erosion risk following Revised Soil Loss Erosion Model (RUSLE). The physiographic soil map has been prepared through visual interpretation of LISS-4 satellite image from which soil erodibility factor is derived. The Digital Elevation Model (DEM) prepared from the contour line derived from toposheet and GPS survey. In the model (Slope Length) LS factor was derived from the DEM. Crop Cover and Support Practices Map (C and P) factor derived from the LULC map.it has been found that 15.90 % under very high category erosion, 5.49 % high erosion,7.03 % under moderate high erosion, 8.54 % under moderate erosion,11.69 % under low erosion, and 51.36 % under very low erosional prone area.