@ARTICLE{Zeghmar_Amer_Assessment_2022,
 author={Zeghmar, Amer and Marouf, Nadir and Mokhtari, Elhadj},
 number={No 52},
 pages={133-144},
 journal={Journal of Water and Land Development},
 howpublished={online},
 year={2022},
 publisher={Polish Academy of Sciences; Institute of Technology and Life Sciences - National Research Institute},
 abstract={Soil erosion is an important factor that should be considered when planning renewable natural resource projects, effects of which can be measured by modelling techniques. Therefore, disintegration models determine soil loss intensity and support soil conservation practices. This study estimates soil loss rates by water erosion using the Erosion Potential Method (EPM) in the Kebir Rhumel Watershed located in Northeast Algeria. The area is north to south sub-humid to semi-arid, receives irregular rainfall, and has steep slopes and low vegetation cover which makes it very vulnerable to erosion. The main factors in the EPM (soil erodibility, soil protection, slope, temperature, and rainfall) were evaluated using the Geographical Information System (GIS) and data provided by remote sensing technologies. The erosion intensity coefficient Z was 0.60, which indicates medium erosion intensity. While the results showed the average annual soil erosion of 17.92 Mg∙ha–1∙y–1, maximum and minimum losses are 190.50 Mg∙ha–1∙y–1 and 0.21 Mg∙ha–1∙y–1, respectively. The EPM model shows satisfactory results compared to some studies done in the basin, where the obtained results can be used for more appropriate management of land and water resources, sustainable planning, and environmental protection.},
 type={Article},
 title={Assessment of soil erosion using the GIS-based erosion potential method in the Kebir Rhumel Watershed, Northeast Algeria},
 URL={http://journals.pan.pl/Content/122611/PDF/2022-01-JWLD-18-Zeghmar.pdf},
 doi={10.24425/jwld.2022.140383},
 keywords={Erosion Potential Method, Geographic Information System (GIS), Kebir Rhumel, remote sensing, soil erosion, water erosion},
}