期刊
JOURNAL OF SOIL AND WATER CONSERVATION
卷 63, 期 3, 页码 105-111出版社
SOIL WATER CONSERVATION SOC
DOI: 10.2489/jswc.63.3.105
关键词
erosion; geographic information system (GIS); length-slope (LS) factor; Natural Resources Inventory (NRI); Revised Universal Soil Loss Equation (RUSLE)
A geographic information system-based (GIS) method for estimating the lengthslope (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.
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