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Apesar das limitacoes, os modelos USLE e RUSLE sao usados no mundo todo, como na sub-bacia do Rio Albegna, regiao sul da Toscana, na Italia (MARKER et al., 2008), na bacia do Rio Wangjiaqiao, nas proximidades da Usina Tres Gargantas, na China (SHI et al., 2004), na bacia de captacao Kianjuki, nas proximidades do Monte Quenia (ANGIMA et al., 2003), na bacia do Rio Mantaro, situada nos Andes tropicais, no Peru (CORREA et al., 2016), entre outras areas.
The most generally utilized model for evaluating erosion is the Universal Soil Loss Equation (RUSLE) developed by Wischmeier and Smith (1978) which is focused around the parameters like R, K, LS and P elements.
RUSLE is an empirical model that predicts sheet and rill erosion.
In RUSLE, such effects are considered in the cover management factor as prior land use (PLU) and surface cover (SC) subfactors (Yang 2014).
The soil erosion estimation models are focused on the identification and quantification of the erosion processes and the controlling factors, resulting in the sequential erosion models development beginning with the universal erosion equation (USLE) realized by Wischmeier and Smith , followed by a modified equation (MUSLE) for the quantification of the alluvium resulting from erosion following each rainfall realized by Williams , and eventually computerized and more complex equation (RUSLE) developed by Renard et al.
(1987, 1989) was applied to obtain the topographic factor and is used in the Revised Universal Soil Loss Equation (RUSLE) (RENARD et al., 1997).
A combination of RS, GIS, and RUSLE is an effective tool to estimate soil loss on a cell-by-cell basis .
El modelo Ecuacion Universal de Perdidas de Suelo Revisada (RUSLE) fue utilizado para predecir riesgos de erosion en el municipio Torres, Lara, Venezuela.
Most recent erosion prediction methods, such as RUSLE and the WEPP model, are computer based, and for some applications, can be run over the Internet.
In southwestern Ontario, Canada, Lobb, and Kachanoski (1999) noted that high rates of soil loss in upper slope positions were inconsistent with predicted patterns of soil erosion as determined by wind or water erosion models such as RUSLE (Renard et al., 1997).
With help from Giulio Ferruzzi, agronomist with the Templeton Natural Resource Conservation Service (NRCS), CCVT is using RUSLE 2 to compare the amount of soil loss (tons/acre/year) before and after implementing BMPs at each demonstration site.
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