MultiCriteria Analysis (MCA) Approach and GIS for Flood Risk Assessment and Mapping in Mayo Kani Division, Far North Region of Cameroon

Abstract

Floods are among the most common disasters that damages are considerable and are challenges for the world. By this fact, it is important to seek for a suitable method of management of these natural disasters. The present study aims to map the flood risk steps according to AHP-ACM integrated under GIS, for aid decision making. Analysis and global approach of multisource data as well as imagery satellite Landsat 8, SRTM, soil, and rainfall, and field work data have contributed to set up the different steps of flood risks in the study area where some localities have been subject to flooding since 2012. The superimposition of criteria such as rainfall, slope, drainage density, land cover, population density and soil, according to their weights has allowed establishing hazard and vulnerability maps. The map of various steps of flood risk is got from the superimposition of hazard and vulnerability maps and five steps are defined. Results show that 22.77% represent very high and high steps of flood risk and they are spread in the eastern and northern while 77.30% correspond to moderate and very low steps of flood risk within the study area. Analysis of results reveals that very high and high steps are the consequence of the junction of rainfall comprised between 550-670 mm, wetland and shrub savannah, ferruginous and hydromorphic soils, slope less than 5% and weak drainage network. Keywords Flood risk mapping; GIS; Multicriteria analysis; Mayo Kani division DOI: https://doi.org/10.23953/cloud.ijarsg.375