Issue |
MATEC Web Conf.
Volume 149, 2018
2nd International Congress on Materials & Structural Stability (CMSS-2017)
|
|
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Article Number | 02081 | |
Number of page(s) | 5 | |
Section | Session 2 : Structures & Stability | |
DOI | https://doi.org/10.1051/matecconf/201814902081 | |
Published online | 14 February 2018 |
Probabilistic Landslide risk assessment - Application to Eastern Rif (Morocco)
Evaluation probabiliste du risque glissement de terrain - Application au Rif oriental du Maroc
Université Mohammed V, Faculté des sciences, Unité de recherche GEORISK, LGRN, 4 Avenue Ibn Battouta -Agdal, BP 1014, Rabat, Maroc.
The present study is consecrated to the probabilistic mapping of the landslide risk at the local scale of an area that belongs to Al Hoceima city in the western Rif of Morocco. The study focuses mainly on the spatial analysis of multi sources data by using an environment GIS (Geographic Information Systems), and the application of the bivariate probabilistic model to qualify the risk susceptibility. The employed methodology is based on three stages. First, the evaluation of landslide susceptibility (S) by the analysis model cited before. Second, the identification and the estimation of the potential consequences (C) for the existing issues. Finally, the landslide risk (R) is evaluated by combining the susceptibility and the potential consequences map. This study requires the use of spatial analysis techniques. It also refers to the risk maps scale, generally reduced and being inappropriate at the urban project area. The obtained risk map defines four risk intensities with a spatial resolution of two meters.
Key words: Landslide / Probabilistic mapping / Susceptibility / Consequences / Risk / GIS
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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