Modelling and Quantification of the Water Erosion of the Lake Itasy Watershed

International Journal of Progressive Sciences and Technologies

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Field Value
 
Title Modelling and Quantification of the Water Erosion of the Lake Itasy Watershed
 
Creator Herizo, RANDRIAMANANTENA Njara
RAZAFINJATO, Victor Albert
RAMAROSON, Jean de Dieu
RANDRIANANTENAINA, Lovaritina
 
Subject
Modeling, Water erosion, RUSLE, Multi-criteria analysis

 
Description Water erosion is recognized as a serious long-term threat to the sustainability of soil and water resources in Madagascar. Many factors, both physical and human, make the western slope of Madagascar in general and the Itasy Region in particular, a particularly eroded area. This study focuses on the assessment of soil water erosion in the Lake Itasy watershed by modelling and quantifying it. The empirical model RUSLE (Revised Universal SoilLoss Equation) was used to estimate soil losses, highlighting the contributions of multispectral remote sensing. This method is based on five parameters, including: rainfall erosivity R, soil erodibility K, topography LS, vegetation cover C and anti-erosion practices P. The map of areas at potential risk of soil loss thus obtained is supported by the analysis of multi-date satellite images, contributing to the understanding of the phenomenon of soil water erosion at the catchment scale.
 
Publisher International Journals of Sciences and High Technologies
 
Contributor
 
Date 2021-04-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ijpsat.ijsht-journals.org/index.php/ijpsat/article/view/2914
10.52155/ijpsat.v25.2.2914
 
Source International Journal of Progressive Sciences and Technologies; Vol 25, No 2 (2021); 400-413
2509-0119
10.52155/ijpsat.v25.2
 
Language eng
 
Relation https://ijpsat.ijsht-journals.org/index.php/ijpsat/article/view/2914/1770
 
Rights Copyright (c) 2021 RANDRIAMANANTENA Njara Herizo
http://creativecommons.org/licenses/by/4.0
 

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