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Derivation of Coastal Erosion Susceptibility and Socio-Economic Vulnerability Models for Sustainable Coastal Management in Senegal

Author

Listed:
  • Cheikh Omar Tidjani Cissé

    (Laboratory of Dynamics and Integrated Management of Coastal Areas, University of Quebec in Rimouski, 300 Ursuline Path, P.O. Box 3300, Rimouski, QC G5L 3A1, Canada)

  • Ivan Marić

    (Center for Geospatial Technologies, Department of Geography, University of Zadar, 23000 Zadar, Croatia)

  • Fran Domazetović

    (Center for Geospatial Technologies, Department of Geography, University of Zadar, 23000 Zadar, Croatia)

  • Katarina Glavačević

    (Independent Researcher, 67059 Ludwigshafen am Rhein, Germany)

  • Rafael Almar

    (Laboratory of Geophysical and Oceanographic Spatial Studies, University of Toulouse, 31013 Toulouse, France)

Abstract

Coastal erosion has posed significant challenges to sustainability and socio-economic stability along Senegal’s coastline, leading to substantial infrastructure losses. Using GIS multi-criteria decision analysis (MCDA), two sub-indices were derived for Senegal’s coastal departments: the physical susceptibility (PSI) and the social-economic vulnerability (SVI) to coastal erosion. The integrated coastal erosion vulnerability (ICER) model was derived by their aggregation. A total of 26 criteria were used, 18 for PSI and 8 for SVI. The criteria weighting coefficients of the sub-indices were determined using the analytic hierarchy process (AHP). Validation of the model accuracy was performed using receiver operating characteristic (ROC) curves that were calculated based on a created coastal erosion cadaster and true positive (TP) sites and manually acquired true negative (TN) sites. The accuracy assessment confirmed the consistency of the physical susceptibility model (PSI) and proved that existing coastal erosion sites are within (5) very high susceptibility areas. Through the generated ICER, the coastal departments were divided into areas of (1) very low, (2) low, (3) medium, (4) high and (5) very high vulnerability to coastal erosion. Very high (5) and high (4) classes cover around 31% of the coastal departments, mostly encompassing a narrow coastal strip and low river valleys and mouths. The presented coastal susceptibility and vulnerability maps, with a spatial resolution of 30 m, identified problematic areas in Senegal’s coastal departments and can help decision-makers in the construction of effective coastal zone management and sustainable development.

Suggested Citation

  • Cheikh Omar Tidjani Cissé & Ivan Marić & Fran Domazetović & Katarina Glavačević & Rafael Almar, 2024. "Derivation of Coastal Erosion Susceptibility and Socio-Economic Vulnerability Models for Sustainable Coastal Management in Senegal," Sustainability, MDPI, vol. 16(17), pages 1-29, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7422-:d:1465849
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    References listed on IDEAS

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    1. Rabia Yahia Meddah & Tarik Ghodbani & Rachida Senouci & Walid Rabehi & Lia Duarte & Ana Cláudia Teodoro, 2023. "Estimation of the Coastal Vulnerability Index Using Multi-Criteria Decision Making: The Coastal Social–Ecological System of Rachgoun, Western Algeria," Sustainability, MDPI, vol. 15(17), pages 1-28, August.
    2. Janaína Cassiano Santos & Gustavo Bastos Lyra & Marcel Carvalho Abreu & José Francisco Oliveira-Júnior & Leonardo Bohn & Gisleine Cunha-Zeri & Marcelo Zeri, 2022. "Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling," 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. 111(3), pages 2531-2558, April.
    3. Jun Wang & Wei Gao & Shiyuan Xu & Lizhong Yu, 2012. "Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China," Climatic Change, Springer, vol. 115(3), pages 537-558, December.
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