Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria

  • Yacine Achour
  • Abderrahmane Boumezbeur
  • Riheb Hadji
  • Abdelmadjid Chouabbi
  • Victor Cavaleiro
  • El Amine Bendaoud
Original Paper

Abstract

This research work deals with the landslide susceptibility assessment using Analytic hierarchy process (AHP) and information value (IV) methods along a highway road section in Constantine region, NE Algeria. The landslide inventory map which has a total of 29 single landslide locations was created based on historical information, aerial photo interpretation, remote sensing images, and extensive field surveys. The different landslide influencing geoenvironmental factors considered for this study are lithology, slope gradient, slope aspect, distance from faults, land use, distance from streams, and geotechnical parameters. A thematic layer map is generated for every geoenvironmental factor using Geographic Information System (GIS); the lithological units and the distance from faults maps were extracted from the geological database of the region. The slope gradient, slope aspect, and distance from streams were calculated from the Digital Elevation Model (DEM). Contemporary land use map was derived from satellite images and field study. Concerning the geotechnical parameters maps, they were determined making use of the geotechnical data from laboratory tests. The analysis of the relationships between the landslide-related factors and the landslide events was then carried out in GIS environment. The AUC plot showed that the susceptibility maps had a success rate of 77 and 66% for IV and AHP models, respectively. For that purpose, the IV model is better in predicting the occurrence of landslides than AHP one. Therefore, the information value method could be used as a landslide susceptibility mapping zonation method along other sections of the A1 highway.

Keywords

Information value (IV) Landslide susceptibility index (LSI) Analytic hierarchy process (AHP) Remote sensing Algeria 

Notes

Acknowledgements

The authors would like to acknowledge the anonymous reviewers for their constructive suggestions. The authors are thankful to the National Highways Agency (ANA) of Algeria for providing data, and to the centre GeoBioTec|UA (UID/GEO/04035/2013), Portugal. They also want to express their gratitude to everyone who provided assistance in realizing this study.

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Copyright information

© Saudi Society for Geosciences 2017

Authors and Affiliations

  • Yacine Achour
    • 1
    • 4
  • Abderrahmane Boumezbeur
    • 2
  • Riheb Hadji
    • 3
  • Abdelmadjid Chouabbi
    • 4
  • Victor Cavaleiro
    • 5
  • El Amine Bendaoud
    • 6
  1. 1.Department of Civil EngineeringBordj Bou Arreridj UniversityEl AnnasserAlgeria
  2. 2.Department of Earth SciencesTebessa UniversityTebessaAlgeria
  3. 3.Department of Earth Sciences, Institute of Architecture and Earth SciencesSetif UniversitySétifAlgeria
  4. 4.Laboratory of Geodynamics and Natural ResourcesBadji Mokhtar UniversitySidi AmarAlgeria
  5. 5.Department of Civil EngineeringBeira Interior UniversityCovilhãPortugal
  6. 6.Department of Civil EngineeringSetif UniversitySétifAlgeria

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