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Landslide hazard mapping in the Constantine city, Northeast Algeria using frequency ratio, weighting factor, logistic regression, weights of evidence, and analytical hierarchy process methods

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Abstract

Landslides constitute the most widespread and damaging natural hazards in the Constantine city. They represent a significant constraint to development and urban planning. In order to reduce the risk related to potential landslide, there is a need to develop a comprehensive landslide hazard map (LHM) of the area for an efficient disaster management and for planning development activities. The purpose of this research is to prepare and compare the LHMs of the Constantine city, by applying frequency ratio (FR), weighting factor (Wf), logistic regression (LR), weights of evidence (WOE), and analytical hierarchy process (AHP) methods used in a framework of the geographical information system (GIS). Firstly, a landslide inventory map has been prepared based on the interpretation of aerial photographs, high resolution satellite images, fieldwork, and available literature. Secondly, eight landslide-conditioning factors such as lithology, slope, exposure, rainfall, land use, distance to drainage, distance to road, and distance to fault have been considered to establish LHMs using the FR, Wf, LR, WOE, and AHP models in GIS. For verification, the obtained LHMs have been validated comparing the LHMs with the known landslide locations using the receiver operating characteristics curves (ROC). The validated results indicate that the FR method provides more accurate prediction (86.59 %) of LHMs than the WOE (82.38 %), AHP (77.86 %), Wf (77.58 %), and LR (70.45 %) models. On the other hand, the obtained results showed that all the used models in this study provided a good accuracy in predicting landslide hazard in Constantine city. The established maps can be used as useful tools for risk prevention and land use planning in the Constantine region.

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Acknowledgments

This research was supported by the University of USTHB (Université des Sciences et de la Technology Houari Boumediene Bab Ezzouar) of Algiers, Algeria. Authors would like to thank the Algerian Space Agency (ASAL) for providing Alsat 2A satellite imagery, the National Hydrous Resources (ANRH), and the National Office of Meteorology (ONM) for providing rainfall data. Thanks also to the DUC of Constantine (Direction de l’Urbanisme et de la Construction) and the LNHC Est (Laboratoire National Habitat et Construction) of Constantine for providing various datasets needed in this research.

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  1. USTHB, University of Science and Technology Houari Boumediene Bab Ezzouar, El Alia, Algiers, Algeria

    Hamid Bourenane, Mohamed Said Guettouche, Youcef Bouhadad & Massinissa Braham

  2. CGS, National Center of Applied Research in Earthquake Engineering, 1 Rue Kadour Rahim, Hussein-Dey, Algiers, Algeria

    Hamid Bourenane, Youcef Bouhadad & Massinissa Braham

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  1. Hamid Bourenane
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Correspondence to Hamid Bourenane.

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Bourenane, H., Guettouche, M.S., Bouhadad, Y. et al. Landslide hazard mapping in the Constantine city, Northeast Algeria using frequency ratio, weighting factor, logistic regression, weights of evidence, and analytical hierarchy process methods. Arab J Geosci 9, 154 (2016). https://doi.org/10.1007/s12517-015-2222-8

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