SOIL EROSION RISK ESTIMATION BY USING SEMI EMPIRICAL RUSLE MODEL: A CASE STUDY OF NUN WATERSHED, UTTARAKHAND
Keywords:DEM, Erosion, GIS, RUSLE, Vigorous
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 was employed with in Geographic Information System (GIS) environment to predict erosion risk following semi empirical Revised Soil Loss Erosion Model (RUSLE). The physiographic soil map was prepared by visual interpretation of satellite image LISS-4 from which soil erodibility factor is derived. The Digital Elevation Model (DEM) derived from Contour map, used as the base map for the topographic related analysis. In the model LS factor was derived from the DEM. C and P factor derived from the LULC map. In the watershed 15.90 % under very high 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 erosion.
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