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A comparative modeling of landslides susceptibility at a meso-scale using frequency ratio and analytic hierarchy process models in geographic information system: the case of African Alpine Mountains (Rif, Morocco) by Nada Boukhres; Mohamed Mastere; Yannick Thiery; Olivier Maquaire; Bouchta El Fellah; Stephane Costa is a Environmental Science article available to read on EtoBox.

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Landslides represent a major natural hazard for all countries in the world. The Rif mountains in Morocco suffer from different types of landslides. Some of them are very active and present a significant risk to urban areas and transport systems. Consequently, in terms of sustainable development, landslide susceptibility mapping is essential to assess the levels of danger posed by these phenomena. This study aims at evaluating landslide susceptibility using two different approaches based on a statistical method (Frequency Ratio, FR) and on a heuristic method (Analytic Hierarchy Process, AHP). The second purpose is to compare them to select the most relevant and reproducible one with a view to applying it to areas having a similar geomorphological context. This study includes a precise inventory map representing the spatial distribution of three landslide categories within 892 sites. Rock falls, flows and landslides were studied using field survey and satellite imagery. Nine thematic layers of predisposing factors controlling landslides occurrence were prepared. The final result is presented in the form of six susceptibility maps of rockfalls, flows and landslides for FR and AHP mode

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Author

Nada Boukhres; Mohamed Mastere; Yannick Thiery; Olivier Maquaire; Bouchta El Fellah; Stephane Costa

Publisher

Springer Science and Business Media LLC

Published

2022

Language

EN

Field

Environmental Science (Physical Sciences)