A sudden change of earth surface environment disturbs physical characteristics of soil and increases flood risk, thus soil has easily eroded and river level is raised with low rainfall intensity. For prevention of damage of soil erosion, sand basins and detention ponds have been constructed, but there are many economic losses because of trouble in estimation of soil erosion volume. In this study, we estimated soil erosion volume using GIS based RUSLE model and assessed applicability of it by comparision with field surveying data. Field soil erosion data is collected in small test site in sachon-myun, Gangneung-si at each individual rainfall. We made raster data which is processed from rainfall, topography, soil map, land cover data for GIS based RUSLE model and can estimate soil erosion volume at each test sites using raster calculation. As a result, standard deviation of estimation errors is 0.0042kg/m2.
A sudden change of earth surface environment disturbs physical characteristics of soil and increases flood risk, thus soil has easily eroded and river level is raised with low rainfall intensity. For prevention of damage of soil erosion, sand basins and detention ponds have been constructed, but there are many economic losses because of trouble in estimation of soil erosion volume. In this study, we estimated soil erosion volume using GIS based RUSLE model and assessed applicability of it by comparision with field surveying data. Field soil erosion data is collected in small test site in sachon-myun, Gangneung-si at each individual rainfall. We made raster data which is processed from rainfall, topography, soil map, land cover data for GIS based RUSLE model and can estimate soil erosion volume at each test sites using raster calculation. As a result, standard deviation of estimation errors is 0.0042kg/m2.
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