Flood susceptibility mapping in the Tongo Bassa watershed through GIS, remote sensing and frequency ratio model
| Autor: | Valentin Brice Ebodé, Raphael Onguéné, Jean Jacques Braun |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Hydrology Research, Vol 55, Iss 4, Pp 484-497 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1998-9563 2224-7955 |
| DOI: | 10.2166/nh.2024.152 |
| Popis: | Flooding constitutes a major problem for the inhabitants of Douala City in general and those of the Tongo Bassa watershed (TBW) in particular. Faced with this situation, public authorities need to put in place measures to mitigate the vulnerability of populations to these disasters. This article aims to map flooding risk areas in the TBW using the geographic information system, field data (historical flood points), remote sensing data (Sentinel II image) and the frequency ratio model. The map produced shows that 1.41, 8.88, 28.51, 33.86 and 27.33% of the basin area are respectively delimited into very low, low, medium, high and very high flood vulnerability classes. High and very high flooding risk areas (those where flooding is most likely to occur) occupy more than half of the basin (61.19%). These areas are characterized by significant imperviousness, low altitudes, weak slopes, significant proximity to watercourses and clayey soils. Most of the houses in the basin (66.92%) are located in areas affected by these two levels of exposure (high and very high). With respective success and prediction accuracy rates of 89 and 96.78%, a certain confidence deserves to be placed on the map of flooding risk areas produced. HIGHLIGHTS Flood susceptibility mapping is addressed through the geographic information system, remote sensing and the frequency ratio model.; A flooding risk areas map with five levels of exposure is proposed.; The number of houses included in each flood exposure level is summarized.; |
| Databáze: | Directory of Open Access Journals |
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