UTILIZING GIS, RS, AND AHP METHODOLOGIES FOR ADAPTIVE FLOOD RISK MAPPING IN OVIA-NORTH EAST LOCAL GOVERNMENT AREA, EDO STATE, NIGERIA.
DOI:
https://doi.org/10.60787/tnamp.v20.381Keywords:
Flood risk, Multi-Criteria Analysis, Geographic Information System, Analytical Hierarchy ProcessAbstract
Flooding due to excessive rainfall is a frequent and widely reported disaster. This study aims to create flood risk maps for public use and estimate the likelihood of flooding in rapidly urbanizing areas. An integrated Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) approach was used to model flood risk zones. A spatial decision support system analyzed flood risks, utilizing datasets such as high-resolution satellite images, SRTM DEM data, FAO soil data, and rainfall data. Flood-enhancing elements, including vulnerability mapping, were created in GIS at a 1: 400,000 scale. This multi-parametric approach considered factors such as rainfall distribution, elevation, slope, drainage network, land use, and soil type. The output raster maps were ranked using the Weighted Linear Combination method and analyzed via Multi-Criteria Analysis (MCA), with a consistency ratio of 0.037 confirming the model's validity. The study identified topography and rainfall as significant contributors to flood risk
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