Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Flood and landslide risk mapping based on a multi-criteria analysis (MCA) in Greater Abidjan (Côte d’Ivoire)
Habal Kassoum Traore,Sébastien Lebaut,Gilles Drogue,Eugène Konan Kouadio,and Silvia De Angeli
Abstract. This study presents a multi-hazard risk assessment of flood and landslide hazards in the Greater Abidjan metropolitan area of Côte d’Ivoire, aimed at enhancing disaster risk reduction strategies in data-poor contexts. Using a semi-quantitative approach within a multi-criteria decision-making framework, specifically the Analytic Hierarchy Process (AHP), we assess both hazard and vulnerability factors contributing to flood and landslide risks, incorporating climatic, environmental, and social aspects. An innovative validation method is introduced, leveraging a multi-source database of past disaster events in the region, combining information from well-established disaster loss databases and results from field surveys, thereby enhancing the robustness and reliability of the results. The findings identify risk-prone areas within Greater Abidjan and provide actionable insights for improving disaster risk management. This approach, which builds on previous research by incorporating both flood and landslide risks, advances a multi-hazard perspective and contributes to a deeper understanding of hazard dynamics in Greater Abidjan. It also offers a model that can be applied to similar urban settings across sub-Saharan Africa.
Received: 19 Jun 2025 – Discussion started: 27 Jun 2025
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This study evaluates flood and landslide risks in Greater Abidjan, Côte d'Ivoire, to support multi-hazard disaster risk reduction. Using a proven decision-making framework, we analyze environmental and social risk factors. An innovative validation method combines past disaster records and field surveys to enhance reliability. The findings highlight high-risk areas and offer insights to enhance urban resilience. This approach is suitable for other data-poor regions facing similar challenges.
This study evaluates flood and landslide risks in Greater Abidjan, Côte d'Ivoire, to support...