Back to Search Start Over

Flood susceptibility mapping in the Tongo Bassa watershed through GIS, remote sensing and frequency ratio model.

Authors :
Ebodé, Valentin Brice
Onguéné, Raphael
Braun, Jean Jacques
Source :
Hydrology Research. Apr2024, Vol. 55 Issue 4, p484-497. 14p.
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19989563
Volume :
55
Issue :
4
Database :
Academic Search Index
Journal :
Hydrology Research
Publication Type :
Academic Journal
Accession number :
177075672
Full Text :
https://doi.org/10.2166/nh.2024.152