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An evaluation of grid size uncertainty in empirical soil loss modeling with digital elevation models
Authors:Email author" target="_blank">Simon?WuEmail author  Jonathan?Li  Gordon?Huang
Institution:(1) Department of Agriculture, 4246 Albert Street, Suite 413, Regina, Saskatchewan, S4S 3R9, Canada;(2) Geomatics Engineering, Ryerson University, Toronto, Ontario, M5B 2K3, Canada;(3) Environmental Systems Engineering, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada
Abstract:This paper presents a study on the effect of topographic variability on grid-based empirical estimation of soil erosion and sediment transport with raster geographic information systems (GIS). An original digital elevation model (DEM) of 10 m resolution for a case watershed is resampled to six realizations of greater grid sizes for a comparative examination. The Universal Soil Loss Equation (USLE) and a distance-based sediment delivery equation are applied to the watershed to calculate soil loss from each cell and total sediment transport to streams, respectively. The results suggest that the selection of the DEM gird size has considerable influence on the soil loss estimation with the empirical models. The estimate of total soil loss from the watershed decreases significantly with the increasing DEM cell size as the spatial variability is reduced by the cell aggregation. The empirical modeling approach is a useful tool for qualitative assessment of soil erosion, provided that spatial variability can be adequately represented by applied DEMs. However, discretion is suggested for its applications to quantitative estimation of soil loss concerning the sensitivity to the grid size selection.
Keywords:soil loss  empirical modeling  Universal Soil Loss Equation  GIS  digital elevation models  grid size  spatial variability
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