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Landslides Susceptibility Mapping Using Analytic Hierarchy Process: Sahel of Algiers case study | ||
| Civil Engineering Infrastructures Journal | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 24 اردیبهشت 1404 اصل مقاله (1.92 M) | ||
| نوع مقاله: Research Papers | ||
| شناسه دیجیتال (DOI): 10.22059/ceij.2025.377379.2073 | ||
| نویسندگان | ||
| Mira Filali* 1؛ Fatma Zohra Belhadj2 | ||
| 1PRAVDUR Laboratory, Faculty of Natural and Earth Sciences, Djilali Bounaama University of Khemis Miliana, Algeria. | ||
| 2Built Environmental Research Lab, Faculty of Civil Engineering, University of Science and Technology Houari Boumediene, National Higher School of Public Works (ENSTP), Basic Infrastructure Department (DIB), Algeria. | ||
| چکیده | ||
| Geological hazards present a major challenge to the development of Algiers, the capital of Algeria, with landslides being particularly prevalent in the early terrain of the Sahel region. Comprehensive preliminary studies are essential for mapping zones vulnerable to slope instability and for mitigating their impacts. This study aims to produce a landslide susceptibility map for the Marly Sahel area using Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) methodologies. Key factors considered in the susceptibility assessment include slope degree, lithology, distance to drainage, elevation, landuse and geotechnical parameters. The weight of each factor class was determined using the AHP technique integrated with the GIS functionalities. This process resulted in the generation of landslide Susceptibility maps, categorizing the area into five zones: very low, low, moderate, high, and very high susceptibility. The analysis identified slope, lithology, cohesion, elevation and proximity to drainage as the most influential factors contributing to landslides occurrence. The study revealed that the northern and south-eastern parts of the area, particullary near valleys and drainage systems, are especialy susceptible to landslides. A landslide inventory map was employed to validate the susceptibility model, achieving a prediction rate of 0.75 based on the area under curve (AUC) technique. | ||
| کلیدواژه‌ها | ||
| Landslide susceptibility؛ Sahel of Algiers؛ Geographic Information System (GIS)؛ Analytic Hierarchy Process (AHP) | ||
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آمار تعداد مشاهده مقاله: 108 تعداد دریافت فایل اصل مقاله: 122 |
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