Assessment of soil erosion is expensive and intensively long exercise. A number of parametric models have been developed to forecast soil erosion at drainage basins, yet Universal Soil Loss Equation, popularly known as USLE model is most widely used empirical formula for estimating annual soil loss from agricultural basins. With the advance of Remote Sensing technique it becomes possible to mea...

The Universal Soil Loss Equation (USLE) and its derivatives are widely used for identifying watersheds with a high potential for degrading stream water quality. We compared sediment yields estimated from regional application of the USLE, the automated revised RUSLE2, and five sediment delivery ratio algorithms to measured annual average sediment delivery in 78 catchments of the Chesapeake Bay w...

cients. Normalizing to a unit plot of length 22.13 m, both the USLE and RUSLE use the equation Empirical soil erosion models continue to play an important role in soil conservation planning and environmental evaluations around L 5 (l/22.13) [2] the world. The effect of hillslope length on soil loss, often termed the where L is soil loss normalized to the 22.13-m-long slope length factor, is one...

Due to its modest data demands and transparent model structure, the Universal Soil Loss Equation (USLE) remains the most popular tool for water erosion hazard assessment. However, the model has several shortcomings, two of which are likely to have prominent implications for the model results. First, the mathematical form of the USLE, the multiplication of six factors, easily leads to large erro...

In many watersheds, water quality is degraded by nutrients and sediment from row crop agriculture. The continued development of watershed process models on one hand and optimization tools on the other hand places today's decision-makers in a position where the problems of cost-effective assignment of conservation activities can be solved for a variety of landscapes and environmental objectives....

There is a need in many emerging nations to develop simple methods for predicting areas of extensive soil erosion using imprecise, but real-world, input data at low cost with considerable Ž . accuracy. The objectives of this study are to 1 develop fuzzy logic models that predict soil Ž . erosion in a relatively large watershed using a limited number of input variables, 2 determine the Ž . effec...

In the current study, Universal Soil Loss Equation (USLE) was implemented using GIS, to assess erosion risk on agricultural land in the prefecture of Rodopi (Greece). USLE was programmed in ModelBuilder an ArcGIS application that creates, edits, and manages mathematical models. Data processing and analysis of USLE factors was performed in the form of raster layers. The R factor (rainfall-runoff...