Abstract
The coastaline between Tetouan and Bou Ahmed and its hinterlands, which is known for its frequency and variety of landslides at Morocco scale. In this context, the geological complexity, the steep terrain morphology, the fairly abundant rainfall, seismic activity…, etc. increase sensitivity and susceptibility to landslides. The consequences generated are extremely large on the components such as road networks, electricity networks, water lines, housing, arable land, forest areas, and coastal areas. In this study, we propose analytic hierarchy process (AHP) and weight of evidence (WofE) methods, to highlight and target potential areas vulnerable to risks of landslides to minimize the damages produced by these phenomena. Eleven parameters controlling the genesis and development of landslides in the order of priority are the following: elevation, slope, lithology, land use, rainfall, proximity to faults, proximity to streams, curvature, aspect, shaded/relief, and proximity to the road. The efficiency testing of landslide susceptibility maps showed a good precision for both AHP and WofE models by utilizing the ROC/AUC method. The comparison between validation processes indicates that WofE method is more accurate in prediction than the AHP method. The output landslide susceptibility maps can constitute a basic document for planners, managers, and regulatory bodies responsible for managing and mitigating landslide incidents at scale of area, especially with increasing housing and large projects within an unstable mountainous area.
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Es-smairi, A., El Moutchou, B. & Touhami, A.E.O. Landslide susceptibility assessment using analytic hierarchy process and weight of evidence methods in parts of the Rif chain (northernmost Morocco). Arab J Geosci 14, 1346 (2021). https://doi.org/10.1007/s12517-021-07660-9
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DOI: https://doi.org/10.1007/s12517-021-07660-9