GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Senouci, R (Author) Other; Taibi, NE (Author) Other; Ana Teodoro (Author) FCUP; Lia Duarte (Author) FCUP; Mansour, H (Author) Other; Meddah, RY (Author) Other

Journal

Title: Sustainability

Vol. 13

Pages: 1-21

ISSN: 2071-1050

Publisher: MDPI

Indexing

ISI Web of Knowledge - 42 Citations

Scopus - 42 Citations

Other information

Authenticus ID: P-00T-ASE

DOI: 10.3390/su13020630

Abstract (EN): Landslides are one of the natural disasters that affect socioeconomic wellbeing. Accordingly, this work aimed to realize a landslide susceptibility map in the coastal district of Mostaganem (Western Algeria). For this purpose, we applied a knowledge-driven approach and the Analytical Hierarchy Process (AHP) in a Geographical Information System (GIS) environment. We combined landslide-controlling parameters, such as lithology, slope, aspect, land use, curvature plan, rainfall, and distance to stream and to fault, using two GIS tools: the Raster calculator and the Weighted Overlay Method (WOM). Locations with elevated landslide susceptibility were close the urban nucleus and to a national road (RN11); in both sites, we registered the presence of strong water streams. The quality of the modeled maps has been verified using the ground truth landslide map and the Area Under Curve (AUC) of the Receiver Operating Characteristic curve (ROC). The study results confirmed the excellent reliability of the produced maps. In this regard, validation based on the ROC indicates an accuracy of 0.686 for the map produced using a knowledge-driven approach. The map produced using the AHP combined with the WOM showed high accuracy (0.753).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 21