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The susceptibility analysis of landslide using bivariate and multivariate modeling techniques in western Algeria: case of Fergoug watershed (Beni-Chougrane Mountains)

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Abstract

Landslides are considered to be the most important and frequent natural events causing considerable damage. Many areas in Algeria and elsewhere in the world are affected by this type of phenomenon. Located in the Tellian Chain of the Northwest of Algeria, Fergoug watershed is largely affected by several landslide events that led to (siltation of dams and roads, bridges, and buildings destruction). The damage cost amounted to hundreds of thousands of dollars and sometimes exceeds the reaction of the authorities concerned. In order to help local authorities in their prevention approach, a landslide sensitivity map has been realized using different models: (i) the frequency ratio (FR), (ii) the linear multiple regressions (MLR), and (iii) the information value model (IVM). The landslide inventory was established and includes 142 landslides and 10 conditioning factors (slope angle, slope aspect, profile curvature, distance to rivers, roads, faults, earthquakes, land use, lithology, and precipitation). These factors were prepared from several multisource data sources. The results were validated using the operating characteristic of the receiver and the areas under the curves obtained using the methods FR, IVM, and MLR are respectively 0.87, 0.83, and 0.81. It is proposed that the landslide susceptibility map produced from the FR model be more useful for the study area. The results demonstrate that for the frequency ratio model, the very high, high, moderate, low, and very low susceptibility classes are 58%, 24%, 5%, 2%, and 9.5%, respectively. Almost 73 landslides events are situated along the Fergoug River. These results could reveal the relative importance of different factors in explaining landslides and help engineers plan land use planning.

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Acknowledgements

This research was carried out in collaboration with the agents of the public services of the Mascara Department. We would like to thank them for providing us with the reports that served as an additional element to the inventory map. The authors are grateful to the support extended by the local government unit of the municipality of Ain Fares. The authors are thankful for the constructive comments of anonymous reviewers leading to improve the quality of this manuscript.

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Authors and Affiliations

  1. Mascara University, Bpox 305 Road of Mamounia, 29000, Mascara, Algeria

    Zaagane Mansour, Refas Soraya, Hamimed Abderahmane, Abbache Abdelkader, Khaldi Abdelkader, Souidi Zahéra & Mouassa Souad

  2. Laboratory of Research on Biological Systems and Geomatics (LRSBG), Bpox 305 Road of Mamounia, 29000, Mascara, Algeria

    Zaagane Mansour, Refas Soraya, Khaldi Abdelkader & Mouassa Souad

  3. BRGM, 3 Avenue Claude Guillemin, 45100, Orléans, France

    Thiery Yanick

  4. Risks and Prevention Department (RPD), BRGM, 45100, Orléans, France

    Thiery Yanick

  5. Mohamed Ben Ahmed University, Oran II, 31000, Oran, Algeria

    Safa Aissa & Moussa Kacem

  6. Laboratory of Hydrogeology (LH), Mohamed Ben Ahmed, University, Oran-2, Oran, Algeria

    Safa Aissa

  7. Laboratory of Paleontology, Stratigraphy and Paleo-Environments, Mohamed Ben Ahmed University (Oran II), Oran, Algeria

    Abbache Abdelkader

  8. Laboratory of Basins Geodynamic and Sedimentary Balance Sheet (GeoBaBiSe), Oran II University, 31000, Oran, Algeria

    Moussa Kacem

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  1. Zaagane Mansour
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Mansour, Z., Yanick, T., Aissa, S. et al. The susceptibility analysis of landslide using bivariate and multivariate modeling techniques in western Algeria: case of Fergoug watershed (Beni-Chougrane Mountains). Arab J Geosci 14, 1962 (2021). https://doi.org/10.1007/s12517-021-07919-1

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