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Assessment Of Soil Erosion By RUSLE Model Using GIS: A Case Study Of Chemorah Basin, Algeria

Author

Listed:
  • Khanchoul K.

    (Department of Geology, Laboratory Soils and Sustainable Development, Badji Mokhtar University-Annaba, P.O.Box 12, Annaba, Algeria)

  • Balla F.

    (Department of Hydraulics, Badji Mokhtar University-Annaba, P.O.Box 12, Annaba, Algeria)

  • Othmani O.

    (Department of Biology, Laboratory Soils and Sustainable Development, Badji Mokhtar University-Annaba, P.O.Box 12, Annaba, Algeria)

Abstract

Soil erosion by water is one of the major sources of land degradation. Erosion contributes to the temporary or permanent lowering of the productive capacity of agricultural land and sedimentation of dams. The purpose of this study is to assess soil loss rate using a GIS/RUSLE approach at the Chemorah basin by focusing on two catchments, namely, Reboa and Soultez. The assessment of soil erosion aims thus to identify the lands more prone to erosion which are vital for erosion management process. RUSLE model supported by GIS software is to predict the spatial variability of erosion occurring in the Chemorah basin and its sub-basins. Five inputs such as rainfall erosivity, soil erodibility, slope and length of slope, plant cover and anti-erosion practices, are used in the model to compute the erosion loss rates. The mean annual soil loss in Chemorah river basin is estimated at 7.52 T/ha/year, and varying between 3.78 T/ha/year in Soultez catchment and 6.06 T/ha/year in Reboa sub-basin. The study shows that low erosion (≤ 7 T/ha/year) covers 52% and high to very high erosion (> 7 T/ha/year) which does not exceed 23% of the Chemorah basin area. The results indicate that Reboa catchment faces the greatest risk of soil erosion compared to Soultez one, with contributions of 44 % and 32 % of their basin areas respectively. Use of the erosion factors’ information coupled with GIS/RUSLE program can help to design the appropriate land management to minimize soil erosion in the basin.

Suggested Citation

  • Khanchoul K. & Balla F. & Othmani O., 2020. "Assessment Of Soil Erosion By RUSLE Model Using GIS: A Case Study Of Chemorah Basin, Algeria," Malaysian Journal of Geosciences (MJG), Zibeline International Publishing, vol. 4(2), pages 70-78, May.
    • Handle: RePEc:zib:zbnmjg:v:4:y:2020:i:2:p:70-78
    DOI: 10.26480/mjg.02.2020.70.78
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    References listed on IDEAS

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    1. Kamel Khanchoul & Skander Khanchoul, 2019. "Estimation of Suspended Sediment Load in the Ressoul Watershed, Algeria," International Journal of Hydrology Research, Conscientia Beam, vol. 4(1), pages 1-12.
    2. Kamel Khanchoul & Kaouther Selmi & Kaddour Benmarce, 2020. "Assessment Of Soil Erosion By Rusle Model In The Mellegue Watershed, Northeast Of Algeria," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 4(1), pages 15-22, February.
    3. Rattan Lal, 2015. "Restoring Soil Quality to Mitigate Soil Degradation," Sustainability, MDPI, vol. 7(5), pages 1-21, May.
    4. Kamel Khanchoul & Skander Khanchoul, 2019. "Estimation of Suspended Sediment Load in the Ressoul Watershed, Algeria," International Journal of Hydrology Research, Conscientia Beam, vol. 4(1), pages 1-12.
    5. Zhanyu Zhang & Liting Sheng & Jie Yang & Xiao-An Chen & Lili Kong & Bakhtawar Wagan, 2015. "Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China," Sustainability, MDPI, vol. 7(10), pages 1-17, October.
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