{"title":"Modelling of Soil Erosion by Non Conventional Methods","authors":"Ganesh D. Kale, Sheela N. Vadsola","country":null,"institution":"","volume":63,"journal":"International Journal of Geological and Environmental Engineering","pagesStart":139,"pagesEnd":146,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/3232","abstract":"Soil erosion is the most serious problem faced at\r\nglobal and local level. So planning of soil conservation measures has\r\nbecome prominent agenda in the view of water basin managers. To\r\nplan for the soil conservation measures, the information on soil\r\nerosion is essential. Universal Soil Loss Equation (USLE), Revised\r\nUniversal Soil Loss Equation 1 (RUSLE1or RUSLE) and Modified\r\nUniversal Soil Loss Equation (MUSLE), RUSLE 1.06, RUSLE1.06c,\r\nRUSLE2 are most widely used conventional erosion estimation\r\nmethods. The essential drawbacks of USLE, RUSLE1 equations are\r\nthat they are based on average annual values of its parameters and so\r\ntheir applicability to small temporal scale is questionable. Also these\r\nequations do not estimate runoff generated soil erosion. So\r\napplicability of these equations to estimate runoff generated soil\r\nerosion is questionable. Data used in formation of USLE, RUSLE1\r\nequations was plot data so its applicability at greater spatial scale\r\nneeds some scale correction factors to be induced. On the other hand\r\nMUSLE is unsuitable for predicting sediment yield of small and large\r\nevents. Although the new revised forms of USLE like RUSLE 1.06,\r\nRUSLE1.06c and RUSLE2 were land use independent and they have\r\nalmost cleared all the drawbacks in earlier versions like USLE and\r\nRUSLE1, they are based on the regional data of specific area and\r\ntheir applicability to other areas having different climate, soil, land\r\nuse is questionable. These conventional equations are applicable for\r\nsheet and rill erosion and unable to predict gully erosion and spatial\r\npattern of rills. So the research was focused on development of nonconventional\r\n(other than conventional) methods of soil erosion\r\nestimation. When these non-conventional methods are combined with\r\nGIS and RS, gives spatial distribution of soil erosion. In the present\r\npaper the review of literature on non- conventional methods of soil\r\nerosion estimation supported by GIS and RS is presented.","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"International Science Index 63, 2012"}