Ms. Rachida Senouci Profile

Rachida Senouci

at Univ de Mostaganem

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Proceedings Article | 20 September 2020 Presentation + Paper

Estimation of landslide risk map considering landslide vulnerability: Case of Algerian Western coasts

R. Senouci, N-E. Taibi, A. C. Teodoro, L. Duarte, R. Yahia Meddah

Proceedings Volume 11534, 115340U (2020) https://doi.org/10.1117/12.2573165

KEYWORDS: Landslide (networking), Geographic information systems, Remote sensing, Image processing, Earth observing sensors, Landsat, Resolution enhancement technologies, Roads

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This study aimed to evaluate the landslide risk map in the Algerian Western coasts. This evaluation was based on three steps. The first step requires evaluating the landslide hazard. To reach this, a field surveys data, combined with Geographical Information System (GIS) analysis and Remote Sensing (RS) image processing were carried out. Seven controlling factors were considered: lithology, geomorphology, slope, land use, distance to stream, rainfall and distance to fault. A topographic map of 1/ 25 000 was used to generate a Digital Elevation Model (DEM) with 15 × 15 m of resolution. From this DEM, the slope was extracted. Based on knowledge approach, the different factors were weighted according a scale value ranging from 1 to 9. The lowest values were assigned to the factors which have a minor influence on landslide triggering, and the highest values were given to the important parameters for landslide occurrence. These factors were combined using weighted linear combination (WLC). The landslide hazard map was classified into five levels: very low, low, moderate, high and very high. The landslide vulnerability was evaluated through the identification of the elements at risk. Three vulnerabilities aspects were considered: physical, environmental and socio-economic. The weights of each factor were given depending on the magnitude and the rate of landslide. Landslide Vulnerability Map (LVM) for Algerian western coasts was generated by the combination of the physical, environment and socio-economic vulnerability maps. Landslide risk was evaluated by combining the hazard map and the vulnerability map, and it was divided into four classes: very low, low, moderate and high.

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