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Cited by 101Flood Risk Assessment and ManagementLandslides and related hazardsGroundwater and Watershed Analysis

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Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau

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Nsangou, Daouda, Kpoumié, Amidou, Mfonka, Zakari, Ngouh, Abdou Nasser, Fossi, Donald Hermann, Jourdan, Camille, Mbele, Henri Zobo, Mouncherou, Oumar Farikou, Vandervaere, Jean-Pierre, Ndam Ngoupayou, Jules Remy·2022·Scientific African
DOI 10.1016/j.sciaf.2021.e01043
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Abstract

Floods are considered as the natural hazards that affect the world's major metropolises the most. Thus, the present study aimed at evaluating the sensitivity to flood risks of the Mfoundi watershed (96.5 km2) located in the heart of the Cameroonian political capital in a tropical humid forest zone, more precisely in the South Cameroon plateau. The methodological approach adopted was to identify the factors that most favor the risk of flooding in the area from intense literature review and field investigations; the analysis of these factors and the calculation of the Flood Harzard Index (FHI) using the Analytical Hierarchy Process (AHP) approach coupled with the Geographical Information System (GIS) environment. The results reveal that among the ten parameters of the natural environment (elevation, drainage density, rainfall, slope, distance from the river, topographic humidity, hydraulic conductivity, groundwater level, geology and land cover) selected, the land cover, elevation and the geology are the factors that most influences the flooding phenomenon in the area. The value of Flood Hazard Index (FHI) varied from 4.16 to 9.16, the higher the value, the more sensitive the area is to the risk of flooding. Five main classes of flood susceptibility are highlighted: very low, low, moderate, high and very high, representing 9.50, 26, 23, 22 and 19.5%, respectively of the study area. To validate the efficiency of the obtained flood susceptibility map, the adopted Area Under the Curve (AUC) method shows a very good accuracy (0.84 or 84%). The results of this study constitute a basic tool for decision-making for environmental management by public authorities and decentralised territorial authorities with territorial jurisdiction.

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Metadata

Authors
Nsangou, D., Kpoumié, A., Mfonka, Z., Ngouh, A. N., Fossi, D. H., Jourdan, C., Mbele, H. Z., Mouncherou, O. F., Vandervaere, J.-P., & Ndam Ngoupayou, J. R.
Affiliations
  • Université de Yaoundé I (CM)
  • University of Maroua (CM)
  • University of Douala (CM)
  • Université de Montpellier (FR)
  • Institut des Géosciences de l'Environnement (FR)
ORCID
Venue
Scientific African
Publisher
Elsevier BV
Published
2022-03
Volume
15
Pages
e01043
ISSN
2468-2276 (ISSN-L)
DOI
10.1016/j.sciaf.2021.e01043
OpenAlex
W3216497412
Cited by
101
References
0
Citations by year
2026: 16 · 2025: 30 · 2024: 23 · 2023: 26 · 2022: 6
FWCI
5.64
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific African (publishedVersion, cc-by-nc-nd)
  • HAL (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Institut de Recherche pour le Développement
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Landslides and related hazards
  • Physical Sciences › Environmental Science › Environmental Engineering › Groundwater and Watershed Analysis
Keywords
urban flood susceptibility, flood hazard index, Yaoundé, land cover, altitude, drainage density, hydraulic conductivity, groundwater level, flood risk management, tropical humid forest

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CoChat. (2026). Citation check: Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau. https://app.cochat.ai/papers/10.1016/j.sciaf.2021.e01043
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Nsangou, D., Kpoumié, A., Mfonka, Z., Ngouh, A. N., Fossi, D. H., Jourdan, C., Mbele, H. Z., Mouncherou, O. F., Vandervaere, J.-P., & Ndam Ngoupayou, J. R. (2022). Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau. Scientific African. https://doi.org/10.1016/j.sciaf.2021.e01043