Mapping surface water erosion potential in the Soummam watershed in Northeast Algeria with RUSLE model
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Mapping surface water erosion potential in the Soummam watershed in Northeast Algeria with RUSLE model Youcef SAHLI1,2
https://orcid.org/0000-0002-0731-8797; e-mail: [email protected]
Elhadj MOKHTARI2
https://orcid.org/0000-0002-4235-390X; e-mail: [email protected]
Belkacem MERZOUK1,2*
https://orcid.org/0000-0003-1877-922X;
e-mail: [email protected]
Benoit LAIGNEL3
https://orcid.org/0000-0002-7569-0830; e-mail: [email protected]
Christophe VIAL4
https://orcid.org/0000-0002-9503-1605; e-mail: [email protected]
Khodir MADANI1
https://orcid.org/0000-0001-5356-6890; e-mail: [email protected]
* Corresponding author 1 Laboratory of Biomathematics, Biophysics, Biochemistry, and Scientometry (L3BS), Faculty of Technology, University of Bejaia, 06000 Bejaia, Algeria 2 Department of Hydraulics, Faculty of Technology, University of M’sila, Algeria 3 UMR CNRS 6143 Continental and Coastal Morphodynamics Laboratory (M2C), University of Rouen, Cedex 76821 Mont-Saint-Aignan, France 4 University Clermont Auvergne, CNRS, SIGMA Clermont, Pascal Institute, F-63000 Clermont-Ferrand, France Citation: Sahli Y, Mokhtari E, Merzouk B, et al. (2019) Mapping surface water erosion potential in the Soummam watershed in Northeast Algeria with RUSLE model. Journal of Mountain Science 16(7). https://doi.org/10.1007/s11629018-5325-3
© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2019
Abstract: The present study aims to estimate the annual soil loss in the Soummam watershed in the northeast of Algeria, using the Revised Universal Soil Loss Equation (RUSLE), geographic information system (GIS), and remote sensing (RS). RUSLE model has been used for modelling the main factors involved in erosive phenomena. The Soummam watershed covers a surface area of 9108.45 km2 of irregular shape, northeast –southwest towards southeast. It is characterized by an altitude varying between 2 m in the northeast and 2308 m in the northwest. Results showed that the average erosivity factor (R) is 70.64 (MJ·mm)/(ha·h·year) and the maximum value reaches 140 (MJ·mm)/(ha·h·year), the average soil erodibility factor (K) is 0.016 (t·h·ha)/(MJ·ha·mm) and maximum values reach 0.0204 (t·h·ha)/(MJ·ha·mm) in the Received: 02-Dec-2018 1st Revision: 19-Apr-2019 2nd Revision: 20-May-2019 Accepted: 14-Jun-2019
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southeast regions of the watershed, the average slope length and steepness factor (LS) is 9.79 and the mean C factor is estimated to be 0.62. Thematic maps integration of different factors of RUSLE in GIS with their database, allowed with a rapid and efficient manner to highlight complexity and factors interdependence in the erosion risk analyses. The resulting map for soils losses, with an average erosion rate of 6.81 t/(ha·year) shows a low erosion ( 0.4: Dense vegetation. Land-use classes have been selected according to the spectral reflectance of the objects. Maximal value r
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