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Landslides in Mila town (northeast Algeria): causes and consequences

  • 3rd CAJG 2020
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

The Mila town (east Algeria) has suffered frequent landslides during the last few decades because of its geological, geomorphological, and seismotectonic setting, as well as the anthropic activities. This research work deals with the landslide susceptibility assessment using frequency ratio (FR) and information value (IV) methods in GIS technology in this area. Firstly, a landslide inventory map was constructed from interpretation of high-resolution satellite images, field investigations, and bibliographies. Seven various causal factors are lithology, slope, aspect, altitude, land use, INDV, and density of streams. A thematic layer map is generated for every factor using geographic information system (GIS), the lithological units extracted from the geological database of the Mila region. The slope gradient, aspect, and density from streams were calculated from the digital elevation model (DEM). Contemporary land use map and INDV was derived from satellite images and field study. The analysis of the relationship between landslide factors and landslide events was performed in a GIS environment. Consequently, landslide susceptibility maps (LSMs) were produced through the process of classifying the global landslide sensitivity index (LSS) into five classes. Finally, for model verification, the LSMs obtained with the FR and IV models were confirmed comparing LSMs with the landslide inventory map using both the receiver operating characteristics (ROC) and the seed cell area index (SCAI) models. The area under curve (AUC) results demonstrate that the IV method has more performance (85.9%) for landslide susceptibility maps (LSMs) than FR method (83%). Moreover, the results of the validation using SCAI also confirmed that model IV was more precise than the FR model. The models employed in this study are capable to resolve the issue of the landslide susceptibility of the study area. The obtained susceptibility maps can be used for future land use planning and can be considered as a powerful tool to resolve the spatial distribution of the risk associated to landslides.

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Acknowledgements

The authors are thankful to the Scientific, Organizing and Technical Committees of the scientific event CAJG 2020. The authors would like to acknowledge the anonymous reviewers for their constructive suggestions. They also want to express their gratitude to everyone who provided assistance in realizing this study.

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Authors and Affiliations

  1. Geological Engineering Laboratory (LGG), Mohammed Seddik Benyahia University, Jijel, Algeria

    Nadira Bounemeur, Riad Benzaid, Hassiba Kherrouba & Souad Atoub

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  1. Nadira Bounemeur
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  2. Riad Benzaid
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  3. Hassiba Kherrouba
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  4. Souad Atoub
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Correspondence to Nadira Bounemeur.

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Responsible Editor: Zeynal Abiddin Erguler

This paper was selected from the 3rd Conference of the Arabian Journal of Geosciences (CAJG), Tunisia 2020

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Bounemeur, N., Benzaid, R., Kherrouba, H. et al. Landslides in Mila town (northeast Algeria): causes and consequences. Arab J Geosci 15, 753 (2022). https://doi.org/10.1007/s12517-022-09959-7

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  • DOI: https://doi.org/10.1007/s12517-022-09959-7

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