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MODELING SOIL EROSION POTENTIAL USING USLE AND GIS TOOLS IN THE WATERSHEDS OF COVILHA REGION (PORTUGAL)

Full Professor Victor Cavaleiro, Master Joel Pires, Assist. Prof. Luis Pais, Master Antonio Carvalho

First published: 2017-06-20https://doi.org/10.5593/sgem2017/32/s13.051View metrics

Abstract

The erosion of the soil is characterized for the disaggregation and transport of the superficial material, promoted by the hydric or eolic action, leading to the impoverishment of the soil, and in extreme cases to the desertification. This process is complex and depends on a multiplicity of factors that differ in the time and space, whose universality and simultaneous particularities, becomes it difficult to equate and to quantify. Modeling can provide a quantitative and consistent approach to estimate soil erosion and sediment yield under a wide range of conditions. In the present study, the soil loss model, Universal Soil Loss Equation (USLE) integrated with Geographic Information System (GIS) has been used to estimate potential soil erosion in the CovilhпїЅ region. USLE factors (R, K, LS, C and P) were computed and presented by raster layers in a GIS environment, then multiplied together to predict potential erosion soil rate. It was observed that the potential erosion rate in the study area can be distributed over three levels ranging from 0 to 4 ton.ha-1/year, 4 to 9 ton.ha-1/year and erosion over 9 ton.ha-1/year. These results demonstrate that high terrain, slope steepness, gully and fluvial erosion are the most prominent causes of soil erosion. This study contributes to better management and implementation of soil conservation practices in the CovilhпїЅ region.

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Publication details

Title
MODELING SOIL EROSION POTENTIAL USING USLE AND GIS TOOLS IN THE WATERSHEDS OF COVILHA REGION (PORTUGAL)
Authors
Full Professor Victor Cavaleiro, Master Joel Pires, Assist. Prof. Luis Pais, Master Antonio Carvalho
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2017
Pages
389-396
SWS Citekey
Cavaleiro201713389396
ISSN
1314-2704
ISBN
978-619-7408-05-8
Language
en
Publication type
Conference Paper
Keywords
References14
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