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A master's thesis from Aalborg University
Book cover


Erosion risk mapping, evaluating the effects of high resolution topographic data in erosion modelling

Translated title

Term

4. semester

Publication year

2016

Submitted on

Pages

113

Abstract

The focus of this project, has been to understand the physical components in erosion modelling. Erosion is a complex process of many environmental parameters. The relationship between these, determine the patterns of redistribution and deposition. In this project a model has been created based on the RUSLE-principles. This serves as the foundation of a comparative analysis that aims to enlighten the aspects of using high resolution data, to estimate soil erosion. This is important with regards to sustaining a healthy water supply and habitats for several species. The RUSLE model, takes six physical components into account, Precipitation, Soil type, Topographic length- /steepness, Vegetation and Supporting practices. These considerations was the basis of finding whether high resolution topographic data, is applicable in erosion modelling.