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A master thesis from Aalborg University

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

Author(s)

Term

4. semester

Education

Publication year

2016

Submitted on

2016-06-07

Pages

113 pages

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.

Keywords

Documents


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