Soil erosion results from an interaction of several parameters, which vary in space and time. Awareness ofenvironmental changes and their impact on the intensity and spatial pattern of water erosion can effectively help inrecognition of erosional reactions versus the affecting factors. The aim of this paper is to describe the development ofa methodology based on present knowledge and available ...

Erosion processes and their impact are driven by a multitude of biophysical factors that are poorly understood in the Andean highlands. The first attempt to assess soil erosion rates in Peru was made by Felipe-Morales et al. (1977) using runoff plots. Since then, very few erosion investigations have followed and reference to Andean soil erosion is often criticized because of the lack of quantit...

this paper presents a mapping procedure for risk mapping of water and wind erosion, whichhelps to identify protective measures needed in the planning and management of natural parks. the map of water erosion risk was developed by combining the original and revised universal soil loss equation methodologies (usle-rusle), and the map of wind erosion risk was developed using quirantes’ method. usi...

Neural networks may provide a user-friendly alternative or supplement to complex physically based models for soil erosion prediction for some study areas. The purpose of this study was to investigate the applicability of using neural networks to quantitatively predict soil loss from natural runoff plots. Data from 2879 erosion events from eight locations in the United States were used. Neural n...

soil erosion is a serious problem especially in northern parts of iran. one themost important side effects on soil erosion may be the decline in qualities of soil refers toagricultural productivity. so it is very important to assess the soil erosion risk for thesustainable development of agriculture. this study outlines ways undertaken to provide anew tool to manage water erosion from physical ...

This paper presents a shoreline-erosion prediction model of Lake Erie that can forecast shoreline changes from annual to 10-year increments. It was developed by using historical bluffline data of years 1973, 1990, 1994, and 2000 at Lake Erie provided by NOAA and local government agencies. The relationships among these historical shorelines are analyzed using a least-squares method. Erosion rate...

A comprehensive methodology that integrates erosion models, Geographic Information System (GIs) techniques, and a sediment delivery concept for estimating water erosion and sediment delivery at the watershed scale was presented. The method was applied to a typical agricultural watershed in the state of Idaho, which is subject to increasing soil erosion and flooding problems. The Revised Univers...

The purpose of this Special Issue is to provide an opportunity for researchers publish novel results that could help landowners, land-users, farmers, politicians, and other representatives our global society protect, and, if possible, improve the quality quantity precious soil resources. Authors were encouraged submit papers related new ways mapping, showing more detailed input data, modeling r...