Title of article :
Water erosion prediction using Revised Universal Soil Loss Equation and GIS: A case study of Gorganrud Basin
Author/Authors :
Abedian, S. Department of Agriculture and Natural Resources - University of Payam-e-noor, Kerman, Iran , Salmanmahiny, A. Department of Environmental Sciences - Gorgan University of Agricultural Science and Natural Resources, Iran
Pages :
15
From page :
103
To page :
117
Abstract :
Soil erosion and sedimentation processes can be considered as serious eco-environmental problems. This study aimed to estimate the basin-wide erosion using the Revised Universal Soil Loss Equation (RUSLE). The soil erosion parameters included rainfall erosivity map generated from the rainfall data, soil erodibility extracted from the soil map, land cover and management map produced from supervised classification of Landsat ETM+ data, and a Digital Elevation Model (DEM) to generate the slope length and steepness factor (LS) maps. Support practice map was assumed as 1 as there were no significant conservation practices. Then, the six thematic layers were integrated based on RUSLE model in GIS environment, and the spatial distribution of soil loss in the Gorganrud Basin was achieved. The distribution of erosion risk was 42.5% for low, 30.33% for moderate, and 27.17% for severe classes. The highest amount of erosion occurred in the northwest to northeast and eastern regions with lithological units including loess, young terraces and alluvial deposits and agricultural use despite the fact that LS factors in these areas were less than 10. In the central and southern parts of the basin, in spite of the high values of LS factor (15–55), these areas depicted low to moderate erosion potential. This is supposed to be due to the dense forest coverage in the region that decreases the energy of rain droplets. The soil erosion risk map can be used for rapid assessment of the effects of environmental changes and watershed management interventions.
Keywords :
Soil erosion , Erosion risk , watershed management , RUSLE
Journal title :
Environmental Resources Research
Serial Year :
2018
Record number :
2524191
Link To Document :
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