The paper has the goal to evaluate if the Universal Soil Loss Equation (USLE)applied using thematic paper maps and a DEM is sufficient to generate a model to map and predict the influences on the environment caused by soil erosion on Loess Plateau. Factors of USLE R, K, S, L, P as well as C were adapted to the test area, the Nihe Gou catchment in Chunhua County in Shaanxi. Afterwards the parame...

The focus of soil erosion research in the Alps has been in two categories: (i) on-sitemeasurements, which are rather small scale point measurements on selected plots often constrained to irrigation experiments or (ii) off-site quantification of sediment delivery at the outlet of the catchment. Results of both categories pointed towards the importance of an intact vegetation cover to prevent soi...

Soil loss expectation and possible relationships among soil erosion, riparian vegetation and water quality were studied in the São José dos Dourados River basin, State of São Paulo, Brazil. Through Geographic Information System (GIS) resources and technology, Soil Loss Expectation (SLE) data obtained using the Universal Soil Loss Equation (USLE) model were analyzed. For the whole catchment area...

in the universal soil loss equation (usle), soil erodibility factor (k) is estimated through nomograph. using the nomograph in calcareous soils may lead to uncertainty in estimating the erodibility factor. this study was conducted in hashtrud, (north west of iran) from march 2005 to march 2006. field measurements were carried out in an agricultural area of 30 km × 30 km. thirty six land grids w...

To optimize the use of the available land and water resources of a watershed for sustainable agricultural production, soil erosion assessment and conservation are essential. The Universal Soil Loss Equation (USLE) is a widely accepted model (Wishmeier and Smith, 1965. Predicting Rainfall Erosion Losses from Cropland (Agricultural Handbook No. 282). USDA. Washington, D.C.) for assessing soil ero...

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...

This paper presents a study on the effect of topographic variability on grid-based empirical estimation of soil erosion and sediment transport with raster geographic information systems (GIS). An original digital elevation model (DEM) of 10 m resolution for a case watershed is resampled to six realizations of greater grid sizes for a comparative examination. The Universal Soil Loss Equation (US...

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...

A reliable prediction of event soil loss at the plot scale can be obtained by Universal Soil Loss Equation (USLE)-type models. For Sparacia site (South Italy), USLE-MB model was recently developed, in which effect erosive agent is modeled using rainfall erosivity index USLE a power b1 > 1 runoff coefficient QR. In this investigation, parameterized separately data collected for rill and inter...