Authors

Mohammed Modinat Omobukola

Federal University of Technology Akure, Ondo State, Nigeria

Tukka Apollos Audu

Federal University of Technology Akure, Ondo State, Nigeria

Andrew Ojochide Ojomah

Federal University of Technology Akure, Ondo State, Nigeria

Dirisu Dolo Kelvin

Federal University of Technology Akure, Ondo State, Nigeria

Gafar Azeez Friday

Federal University of Technology Akure, Ondo State, Nigeria

Maha Alih

Federal University of Technology Akure, Ondo State, Nigeria

Abstract

This study provides a comprehensive geospatial assessment of flood susceptibility using Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (F-AHP) techniquesin Mokwa area of Niger State, Nigeria. Flooding has become a recurring environmental hazard in the area, resulting in significant socio-economic and infrastructural losses. To address this challenge, a multi-criteria decision-making approach integrated with Geographic Information Systems (GIS) and remote sensing data were used to carry out the research study. Nine flood conditioning factors were considered, including elevation, slope, rainfall, drainage density, land use/land cover, soil type, distance to river, TWI and sentinel 1(Synthetic Aperture Radar). Spatial datasets were processed and standardized, and weights were assigned to each factor using both the Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (F-AHP) methods. The results reveal noticeable variations in the classification of susceptibility zones between the two models. Specifically, the area categorized under very low flood susceptibility is estimated at 17.1 km² for Analytical Hierarchy Process (AHP) and slightly higher at 17.4 km² for F-AHP. In contrast, the very high susceptibility zones show a more pronounced difference, with Analytical Hierarchy Process (AHP) identifying 310.4 km², while Fuzzy Analytical Hierarchy Process (F-AHP) delineates a significantly larger area of 380.1 km² (Table 4.11).Furthermore, the consistency ratio (CR) values obtained from both models demonstrate acceptable levels of judgment consistency, as they fall within thethreshold of 10% acceptance level. The Analytical Hierarchy Process (AHP) model produced a CR of 5%, while the Fuzzy Analytical Hierarchy Process (F-AHP) model yielded a slightly lower CR of 4.3%.

Keywords

Flooding Soil erosion GIS and Remote sensing Analytical Hierarchy Process Pairwise matrix Mokwa

Citation of this Article

Mohammed Modinat Omobukola, Tukka Apollos Audu, Andrew Ojochide Ojomah, Dirisu Dolo Kelvin, Gafar Azeez Friday, & Maha Alih. (2026). Geospatial Assessment of Flood Susceptibility (Using Saaty AHP and Fuzzy-AHP Techniques) in Mokwa Area of Niger State, Nigeria. Current Journal of Engineering and Science Research. 3(9), 1-12. Article DOI: https://doi.org/10.47001/CJESR/2026.309001 

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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