*3.1.4 The method for modeling erosion risk*

An erosion risk modeling approach combined with routine field research can produce reliable decision support beneficial for the effective management of soil erosion risk [61–63]. A global initiative to predict soil loss has been the development of empirical and process-based models [14, 64–66]. The majority of the effort has gone toward thoroughly assessing the risk of soil erosion [67–69]. Habib-Ur-Rehman [70] employed a methodology centered on the process to prognosticate soil erosion on a regional scale. Numerous models of soil erosion and sediment transportation have been created on a global scale to determine the rates of sediment and nutrient movement in various land use systems. These models can be classified into three distinct groups, namely conceptual models, physical models, and empirical models,

### *Principles of Soil Erosion Risk Modeling DOI: http://dx.doi.org/10.5772/intechopen.111960*

as stated by Merritt et al. [14]. The GIS-based models, namely the USLE, WEPP, AGNPS, LISEM, and EUROSEM, exhibit considerable dissimilarities in terms of their complexity, inputs and prerequisites, methodologies, visual representations, intended application domains, and output data formats [14, 71].
