RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS |
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Authors: | Jasmin Ismail S Ravichandran |
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Affiliation: | (1) Centre for Water Resources, College of Engineering Guindy, Anna University, Chennai, India |
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Abstract: | The study is focused on the estimation of rate of soil erosion, using Revised Universal Soil Loss Eq. 2 (RUSLE2), in the Veppanapalli
subwatershed of Krishnagiri catchment located in Tamil Nadu, India. The soil erosion is estimated for each of the hillslope
units in the study area. The factors considered are intensity of rainfall, type of soil, land use classification and the existing
soil conservation practices. Detailed analysis of soil samples were done to assess the texture, structure, permeability and
organic matter content of the soil samples of each hillslope unit. The required data for the other parameters were estimated
by carrying out intense field investigations and by the analysis of the satellite imagery of 5.6 m resolution. A data base
was created with all the subfactor values for the hillslope units. Incorporation of remote sensing technique and Geographic
Information System (GIS) made the spatial analysis of the study more reliable and accurate. The annual average soil erosion
rate is estimated as 25 t/ha/year, which is on a higher range. This indicates the immediate need for the adoption of proper
conservation strategies in this area to control the eutrophication in the Krishnagiri reservoir and to prevent further watershed
degradation. |
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Keywords: | erosion RUSLE2 model remote sensing GIS analysis |
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