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Assessment of soil erosion using remote sensing and GIS in Nagpur district, Maharashtra for prioritisation and delineation of conservation units
Authors:C V Srinivas  A K Maji  G p Obi Reddy  G R Chary
Institution:(1) College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, 100875 Beijing, China;(2) Water Engineering and Management (WEM), School of Engineering and Technology (SET), Asian Institute of Technology (AIT), P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand;(3) Department of Civil and Environmental Engineering, University of Yamanashi, 4-3-11, Takeda, Kofu Yamanashi, 400-8511, Japan;(4) International Centre for Water Hazard and Risk Management, Tsukuba Ibaraki, 305-8516, Japan
Abstract:In the present study, soil loss in Nagpur district of Maharashtra is predicted employing USLE method and adopting integrated analysis in GIS to prioritise the tahsils for soil conservation and for delineation of suitable conservation units. Remote sensing techniques are applied to delineate the land cover of the district and to arrive at annual cover factors. Results indicate that potential soil loss of very slight to slight (>5–10 tons/ha/year) exist in the valleys in north western, northern and in the plains of central and eastern parts of the district. Moderate to moderately severe erosion rates (10 to 20 tones/ha/year) is noticed in the southeastern and some central parts. Severe, very severe and extremely severe erosion types (20 to 80 tons/ha/year) are noticed in the northern, western, southwestern and southern parts of the district. The average soil loss is estimated to be 23.1 and 15.5 tons/ha/yr under potential and actual conditions respectively. Slight, moderate, moderately severe and extremely severe potential erosion covering about 41 per cent area of the district is reduced to negligible and very slight rates of actual erosion under the influence of present land cover leading to a reduction of 7421.2 tones of potential soil loss. Priority rating of the tahsils is evaluated from the area weighted mean quantum of soil loss. Multi-criteria overlay analysis with the parameters of soil erosion, slope, soil depth, land cover and surface texture with rating for the constituent classes has resulted in delineation of nine conservation units. Appropriate agronomic and mechanical practices are suggested in the identified units for minimizing the erosion hazard.
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