Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria
This study aims to estimating annual soil erosion rate and its spatial distribution in the Bou Namoussa water-shed located in the North-East of Algeria by applying the revised universal soil loss equation (RUSLE) within a Geographical Information System environment (GIS). The application of the RUSL...
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Polish Academy of Sciences
2018-03-01
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| Series: | Journal of Water and Land Development |
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| Online Access: | http://www.degruyter.com/view/j/jwld.2018.36.issue-1/jwld-2018-0003/jwld-2018-0003.xml?format=INT |
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| author | Bouhadeb Chemss Eddine Menani Mohamed Redha Bouguerra Hamza Derdous Oussama |
| author_facet | Bouhadeb Chemss Eddine Menani Mohamed Redha Bouguerra Hamza Derdous Oussama |
| author_sort | Bouhadeb Chemss Eddine |
| collection | DOAJ |
| description | This study aims to estimating annual soil erosion rate and its spatial distribution in the Bou Namoussa water-shed located in the North-East of Algeria by applying the revised universal soil loss equation (RUSLE) within a Geographical Information System environment (GIS). The application of the RUSLE model in different natural environments and on every scale takes into account five key factors namely: the rainfall erosivity, the soil erodibility, the steepness and length of slopes, the vegetation cover and the conservation support practices. Each of these factors was generated in GIS as a raster layer, their combination, resulted in the development of a soil loss map indicating an average erosion rate of 7.8 t·ha−1·y−1. The obtained soil loss map was classified into four erosion severity classes; low, moderate, high and very high severity representing respectively 40, 30.48, 22.59 and 6.89% of the total surface. The areas, showing moderate, high and very high erosion rates which represent more than half of the basin area were found generally located in regions having high erodibility soils, steep slopes and low vegetation cover. These areas should be considered as priorities in future erosion control programs in order to decrease the siltation rate in the Cheffia reservoir. |
| first_indexed | 2024-03-12T05:09:36Z |
| format | Article |
| id | doaj.art-58a5d2beff6d4d6c88ed149523d09285 |
| institution | Directory Open Access Journal |
| issn | 2083-4535 |
| language | English |
| last_indexed | 2024-03-12T05:09:36Z |
| publishDate | 2018-03-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Journal of Water and Land Development |
| spelling | doaj.art-58a5d2beff6d4d6c88ed149523d092852023-09-03T08:42:59ZengPolish Academy of SciencesJournal of Water and Land Development2083-45352018-03-01361273510.2478/jwld-2018-0003jwld-2018-0003Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of AlgeriaBouhadeb Chemss Eddine0Menani Mohamed Redha1Bouguerra Hamza2Derdous Oussama3University Batna-2, Faculty of Technology, Laboratory of Mobilization and Management of Water Resources, Batna, AlgeriaUniversity Batna-2, Faculty of Technology, Laboratory of Mobilization and Management of Water Resources, Batna, AlgeriaUniversity Abou Bakr Belkaid, Faculty of Technology, Department of Hydraulic, Laboratory No 25, BP 119Tlemcen, AlgeriaUniversity Kasdi Merbah, Faculty of Applied Sciences, Department of Civil and Hydraulic Engineering, Route Ghardaïa, BP 511, Ouargla, 30000, AlgeriaThis study aims to estimating annual soil erosion rate and its spatial distribution in the Bou Namoussa water-shed located in the North-East of Algeria by applying the revised universal soil loss equation (RUSLE) within a Geographical Information System environment (GIS). The application of the RUSLE model in different natural environments and on every scale takes into account five key factors namely: the rainfall erosivity, the soil erodibility, the steepness and length of slopes, the vegetation cover and the conservation support practices. Each of these factors was generated in GIS as a raster layer, their combination, resulted in the development of a soil loss map indicating an average erosion rate of 7.8 t·ha−1·y−1. The obtained soil loss map was classified into four erosion severity classes; low, moderate, high and very high severity representing respectively 40, 30.48, 22.59 and 6.89% of the total surface. The areas, showing moderate, high and very high erosion rates which represent more than half of the basin area were found generally located in regions having high erodibility soils, steep slopes and low vegetation cover. These areas should be considered as priorities in future erosion control programs in order to decrease the siltation rate in the Cheffia reservoir.http://www.degruyter.com/view/j/jwld.2018.36.issue-1/jwld-2018-0003/jwld-2018-0003.xml?format=INTBou Namoussa watershedGISRUSLEsiltationsoil erosion |
| spellingShingle | Bouhadeb Chemss Eddine Menani Mohamed Redha Bouguerra Hamza Derdous Oussama Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria Journal of Water and Land Development Bou Namoussa watershed GIS RUSLE siltation soil erosion |
| title | Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria |
| title_full | Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria |
| title_fullStr | Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria |
| title_full_unstemmed | Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria |
| title_short | Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria |
| title_sort | assessing soil loss using gis based rusle methodology case of the bou namoussa watershed north east of algeria |
| topic | Bou Namoussa watershed GIS RUSLE siltation soil erosion |
| url | http://www.degruyter.com/view/j/jwld.2018.36.issue-1/jwld-2018-0003/jwld-2018-0003.xml?format=INT |
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