• 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