Transactions of the ASABE · 2011 · 154 citations · 20 references
Natural ResourcesHydrologySoil SciencesRangeland HydrologySoil ConservationSoil ScienceErosionRangeland Condition AssessmentRangeland Plant CommunitiesRangeland Water BalanceSoil ErosionSoil Erosion ControlHydrologic Erosion ProcessesProcess-based Erosion ModelsRangeland Runoff ProcessesSoil Erosion ModellingSoil Erosion PredictionSoil Erosion ProcessesSoil Loss EstimationSoil Loss Modeling
Soil loss rates on rangelands are considered one of the few quantitative indicators for assessing rangeland health and conservation practice effectiveness. An erosion model to predict soil loss specific for rangeland applications is needed because existing erosion models were developed from croplands where the hydrologic and erosion processes are different, largely due to much higher levels of heterogeneity in soil and plant properties at the plot scale and the consolidated nature of the soils. The Rangeland Hydrology and Erosion Model (RHEM) was designed to fill that need. RHEM is an event-based derivation of the WEPP model made by removing relationships developed specifically for croplands and incorporating new equations derived from rangeland data. RHEM represents erosion processes under disturbed and undisturbed rangeland conditions, it adopts a new splash erosion and thin sheet-flow transport equation developed from rangeland data, and it links the model hydrologic and erosion parameters with rangeland plant communities by providing a new system of parameter estimation equations based on 204 plots at 49 rangeland sites distributed across 15 western U.S. states. RHEM estimates runoff, erosion, and sediment delivery rates and volumes at the spatial scale of the hillslope and the temporal scale of a single rainfall event. Experiments were conducted to generate independent data for model evaluation, and the coefficients of determination (r2) for runoff and erosion predictions were 0.87 and 0.50, respectively, which indicates the ability of RHEM to provide reasonable runoff and soil loss prediction capabilities for rangeland management and research needs.
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Modeling infiltration during a steady rain
Russell G Mein, Curtis L. Larson · Water Resources Research · 1973 · 1K citations
Infiltration during an unsteady rain
Shu Tung Chu · Water Resources Research · 1978 · 309 citations
WEPP-Predicting water erosion using a process-based model
J. M. Laflen, William J. Elliot, Dennis C. Flanagan et al. · Journal of Soil and Water Conservation · 1997 · 226 citations