| Issue |
E3S Web Conf.
Volume 708, 2026
7th International Conference on Smart Applications and Water Information Systems: “Intelligent Systems, Geospatial Technologies and Modeling for the Sustainable Management of Water Resources” (SAWIS 2025)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 11 | |
| Section | GIS, AI Applications, and Risk Assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202670803004 | |
| Published online | 30 April 2026 | |
Prioritization of subwatersheds flood sensitivity using fuzzy analytical hierarchy process (FAHP) method: A case study of the Drâa basin
1 Department of Earth Sciences, Faculty of Sciences Semlalia Marrakech, Cadi Ayyad University, Marrakech 40000, Morocco.
2 Department of Geology, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Flash floodsare major natural hazard in dry regions like the Drâa basin. This study aimed to compare the flood risk prioritization in three subwatersheds (Upper Drâa, Middle Drâa, and Lower Drâa) using GIS and DEM-derived morphometric parameters. In this study, a multi-criteria GIS-based analysis method, named Fuzzy Analytical Hierarchy Process (FAHP), was use to ranking the subwatersheds according to flood sensitivity based on ten morphometric parameters. These parameters are: compactness index (Kg), basin relief (H), length of the basin (Lb), specific elevation gain (Ds), slope Index (Ig), stream frequency (Fs), drainage density (Dd), gradient Ratio (Rg), time of water concentration (Tc), and torrentiality coefficient (Tcoef). The results show that the Lower Drâa is the most sensitive to floods due to steep slopes and high drainage density. This study helps us to identify areas with a priority for flood risk management.
Key words: Flood / Drâa basin / FAHP / DEM / Morphometric parameters
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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