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SOIL & WATER MANAGEMENT & CONSERVATION

Water Erosion Estimation in Topographically Complex Landscapes: Model Description and First Verifications

^a Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, Santiago, Chile
^b Dep. of Soil Science, Univ. of Wisconsin, 1525 Observatory Dr. Madison, WI 53706
^c Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, Univ. of Wisconsin, 1225 W. Dayton St., Madison, WI 53706

^* Corresponding author (cbonilla{at}uc.cl).

Two of the most important limitations when predicting soil movement are the natural complexity and the spatial heterogeneity of the processes. Soil erosion can vary significantly across short distances as a function of local soil properties and microtopography; but regardless of this, many erosion models assume homogeneity in topography and soil characteristics. The objective of this research was to develop a method for estimating soil loss from agricultural fields that is faithful to the complex topography and spatial heterogeneity common to managed landscapes. Sediment loss for individual storms was achieved by linking soil detachment–deposition equations adapted from the Water Erosion Prediction Project (WEPP) model to the existing water-flow subroutine in the Precision Agricultural-Landscape Modeling System (PALMS). In PALMS, sediment was routed appropriately in a two-dimensional grid, defining the pathways taken by the eroded material. Usually PALMS works on a grid-cell size of 5 to 20 m and simulates runoff and soil erosion patterns as affected by slope, soil texture, anisotropic surface roughness, soil consolidation, canopy cover, and tillage interactions with topography. In this study, PALMS and WEPP were used to simulate the sediment transport on an idealized field with a complex hillslope profile. Both models showed a consistent soil loss pattern and only minor differences in transport capacities. The models were also compared with data from actual erosion plots, where both runoff and soil loss were predicted with similar errors for both PALMS and WEPP. To illustrate the capability of PALMS, it was applied to a field with complex topography.

Abbreviations: AGNPS, Agricultural Non-Point Source • DEM, digital elevation model • PALMS, Precision Agricultural-Landscape Modeling System • RUSLE, Revised Universal Soil Loss Equation • USLE, Universal Soil Loss Equation • WEPP, Water Erosion Prediction Project