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

Author

Listed:
  • 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
    Earth Sciences Institute (ICT), Pole of the FCUP, 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
    Earth Sciences Institute (ICT), Pole of the FCUP, 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)

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).

Suggested Citation

  • Rachida Senouci & Nasr-Eddine Taibi & Ana Cláudia Teodoro & Lia Duarte & Hamidi Mansour & Rabia Yahia Meddah, 2021. "GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:630-:d:478299
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    2. Zhiye Wang & Chuanming Ma & Yang Qiu & Hanxiang Xiong & Minghong Li, 2022. "Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China," IJERPH, MDPI, vol. 19(15), pages 1-22, August.
    3. Yigen Qin & Genlan Yang & Kunpeng Lu & Qianzheng Sun & Jin Xie & Yunwu Wu, 2021. "Performance Evaluation of Five GIS-Based Models for Landslide Susceptibility Prediction and Mapping: A Case Study of Kaiyang County, China," Sustainability, MDPI, vol. 13(11), pages 1-20, June.
    4. Lamek Nahayo & Cui Peng & Yu Lei & Rongzhi Tan, 2023. "Spatial understanding of historical and future landslide variation in Africa," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 613-641, October.
    5. Idris Bello Yamusa & Mohd Suhaili Ismail & Abdulwaheed Tella, 2022. "Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques," Sustainability, MDPI, vol. 14(15), pages 1-21, July.

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