Extension and validation of a geographic information system-based method for calculating the Revised Universal Soil Loss Equation length-slope factor for erosion risk assessments in large watersheds
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A geographic information system-based (GIS) method for estimating the length-slope (LS) factor of the Revised Universal Soil Loss Equation using national-scale datasets was developed and validated. The method was applied to approximately two-thirds of the Mississippi River basin, focusing on agricultural subwatersheds in the Midwest. The results were validated by comparing the GIS-based statistical distributions of LS-factor values with the distribution of LS-factors calculated from the Natural Resources Inventory database at the eight-digit watershed level. The GIS-based approach was shown to produce statistical distributions of LS-factor values very similar to those described by the Natural Resources Inventory database of field measurements, providing for the first time strong support for using GIS-based methods to represent the spatial heterogeneity and magnitude of LS-factors. Development and validation of the GIS-based approach is an important step toward conducting large-scale erosion potential assessments that have soil conservation implications in natural resources management, agronomy, and agrochemical exposure risk assessments.
Journal of Soil and Water Conservation
author list (cited authors)
Winchell, M. F., Jackson, S. H., Wadley, A. M., & Srinivasan, R.
complete list of authors
Winchell, MF||Jackson, SH||Wadley, AM||Srinivasan, R