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

Rachida Senouci, Nasr-Eddine Taibi, Ana Cláudia Teodoro, Lia Duarte, Hamidi Mansour and Rabia Yahia Meddah
Additional contact information
Rachida Senouci: Laboratory of Protection and Development of Coastal Marine Resources and Molecular Systematics, Department of Marine Sciences and Aquaculture, Faculty of Natural and Life Sciences, Abdelhamid Ibn Badis, University of Mostaganem, BP 227, National Road N° 11, Kharrouba, Mostaganem 27000, Algeria
Nasr-Eddine Taibi: Laboratory of Protection and Development of Coastal Marine Resources and Molecular Systematics, Department of Marine Sciences and Aquaculture, Faculty of Natural and Life Sciences, Abdelhamid Ibn Badis, University of Mostaganem, BP 227, National Road N° 11, Kharrouba, Mostaganem 27000, Algeria
Ana Cláudia Teodoro: Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
Lia Duarte: Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
Hamidi Mansour: Laboratory of Geo Resources, Environments and Natural Risks, Department of Geology, Faculty of Earth Science and the Universe, University of Mohamed Ben Ahmed Oran 2, B.P1 1524 El-M’Naouar, Oran 31000, Algeria
Rabia Yahia Meddah: Laboratory of Geographical Space and Territorial Planning, Department Geography and Land Planning, Faculty of Earth Science and the Universe, University of Mohamed Ben Ahmed Oran 2, B.P1 1524 El-M’Naouar, Oran 31000, Algeria

Sustainability, 2021, vol. 13, issue 2, 1-21

Abstract: 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).

Keywords: controlling-parameters; remote sensing; GIS; knowledge driven approach; analytical hierarchy process; weighted overlay method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/2/630/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/2/630/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:2:p:630-:d:478299

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().