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A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units
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Citations
21
References
1996
Year
EngineeringGeomorphologyLand UseQuantitative GeomorphologyEarth ScienceSocial SciencesGis ProcedureErosion PredictionComputer AlgorithmHydrogeologySurveyingGeographySoil TruncationLandscape ChangeComplex Landscape UnitsLandscape Evolution ModelPrecision Soil MappingHydrologySoil ErosionSoil ModelingCivil EngineeringUsle Ls Factor
The study presents a computer algorithm for calculating USLE and RUSLE LS‑factors across a two‑dimensional landscape. The algorithm, which can be integrated into GIS, assigns K, C, and P values to land units and allows users to model hydrologically isolated or continuous units via a simple overlay procedure. Compared with a manual method, the algorithm produces similar relative erosion risk maps but differs in absolute values, avoiding underestimation due to flow convergence, and its predictions align well with observed soil truncation.
ABSTRACT: A computer algorithm to calculate the USLE and RUSLE LS-factors over a two-dimensional landscape is presented. When compared to a manual method, both methods yield broadly similar results in terms of relative erosion risk mapping. However, there appear to be important differences in absolute values. Although both methods yield similar slope values, the use of the manual method leads to an underestimation of the erosion risk because the effect of flow convergence is not accounted for. The computer procedure has the obvious advantage that it can easily be linked to GIS software. If data on land use and soils are available, specific K, C and P-values can be assigned to each land unit so that predicted soil losses can then be calculated using a simple overlay procedure. The algorithm leaves the user the choice to consider land units as being hydrologically isolated or continuous. A comparison with soil data showed a reasonably good agreement between the predicted erosion risk and the intensity of soil truncation observed in the test area.
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