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Home›Geophysics›Universal Soil Loss Equation
Process / pipelineSoil erosion prediction

Universal Soil Loss Equation

Also known as: USLE, Revised USLE

The Universal Soil Loss Equation (USLE) is an empirical model that estimates annual soil loss due to sheet and rill erosion on hillslopes caused by rainfall and runoff. Developed by Wischmeier and Smith in 1978 from decades of erosion plot experiments, USLE has become a standard tool for erosion risk assessment, conservation planning, and best management practice design. The Revised USLE (RUSLE) updated the original model with improved factor algorithms.

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Universal Soil Loss Equation
HEC-RASNDVISWAT Model

When to use it

Use USLE for rapid erosion risk screening, identification of erosion-prone areas for conservation planning, and assessment of conservation practice effectiveness. USLE is most applicable to hillslope erosion under rain-fed cultivation. For gully erosion, streambank erosion, or coastal erosion, USLE is less appropriate. For detailed process-based erosion modeling (sediment transport equations, rill-interrill interactions), use WEPP (Water Erosion Prediction Project) or physically-based models.

Strengths & limitations

Strengths
  • Simple, parsimonious model requiring minimal data compared to process-based alternatives
  • Empirically validated across thousands of erosion plots; relationships are well-established
  • Factors are intuitive and spatially explicit, enabling scenario analysis of management alternatives
  • Freely available and widely used, ensuring compatibility with conservation planning frameworks
Limitations
  • Empirical relationships may not apply outside the range of plot conditions used to develop the model (humid to semi-arid, non-tropical regions)
  • Cannot capture complex processes like preferential erosion in gullies, sediment detachment by flowing water, or streambank undercutting
  • Uncertainty in factor estimation, particularly C (cover) and P (practice), which require subjective judgment
  • Does not model sediment deposition; all eroded material is assumed to be transported (poor for low-gradient areas)

Frequently asked

What is rainfall erosivity (R factor) and how is it measured?

Rainfall erosivity reflects both the amount and intensity of rainfall—high-intensity storms cause more erosion than the same precipitation spread evenly. R is computed from historical rainfall records using the equation R = Σ(EI30), where E is total rainfall kinetic energy per storm and I30 is maximum 30-minute rainfall intensity. Typical values range from 20 in the southwestern US to >500 in the southeastern US (measured in foot-tons-inches per acre per year).

What factors most strongly influence soil erodibility (K)?

Soil texture is primary: sands are very erodible (K ~0.6), silts are most erodible (K ~0.4), clay-rich soils less so (K ~0.2). Organic matter and soil structure improve stability and reduce K. Permeability and cohesion also matter. Published K tables provide values for common soil series; field measurements require rainfall simulation.

How do slope length and steepness affect erosion?

LS factor increases with both slope length (distance water travels downslope) and steepness (gradient). LS is typically computed as LS = (L/22.13)^m × (sin(θ)/0.0896)^n, where L is slope length (meters), θ is slope angle, and m,n are exponents (~0.5, ~1.3). A field on a 45-degree slope might have LS ~5; a 5-degree slope might have LS ~0.5.

Can USLE account for terracing or contour plowing benefits?

Yes, via the P (practice) factor. Contour plowing reduces soil loss by ~50% (P ~0.5); terracing by ~70–80% (P ~0.2–0.3). These factors are empirical estimates and assume proper construction and maintenance. Poorly maintained terraces offer little protection.

Sources

  1. Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses: A guide to conservation planning. USDA Agricultural Handbook 537. link ↗
  2. Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., & Yoder, D. C. (1997). Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). USDA Agricultural Handbook 703. link ↗

How to cite this page

ScholarGate. (2026, June 3). Universal Soil Loss Equation. ScholarGate. https://scholargate.app/en/geophysics/universal-soil-loss-equation

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HEC-RASNDVISWAT Model

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Referenced by

HEC-RASSWAT Model

Similar methods

Tillage Erosion ModelPedogenesis ModelingSWAT ModelDigital Soil MappingLandslide Susceptibility MappingCanopy Interception ModelingSoil Fertility ManagementRainfall-Runoff Modeling

Related reference concepts

Soil Erosion by Water and WindSoil and Water ConservationErosion Control and Conservation PracticesSoil Degradation and RestorationPedogenesis and WeatheringSoil Formation and Classification

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Universal Soil Loss Equation (Universal Soil Loss Equation). Retrieved 2026-07-21 from https://scholargate.app/en/geophysics/universal-soil-loss-equation · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Waldo Wischmeier and Dwight Smith
Subfamily
Soil erosion prediction
Year
1978
Type
Empirical soil erosion prediction model
Related methods
HEC-RASNDVISWAT Model
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