Assessment of flood occurrence and vulnerability in Kabba/Bunu local government area, Kogi State, Nigeria

Helen Olubunmi Oluyomi 1,  *, Adebayo .G. Ojo 2, Unekwu Hadiza Amanabo 1, Justin Osagie Imhanfidon 1, Epsar Philip Kopteer 1, Eyem Sunday Peter 1, Princess Ifeyinwa Ezeanya 1, Moses Olorunfemi Areh 1, Onumaegbu Ndidi Monica 1, Dolly Nkere Emmanuel 1 and Vivian Chisom Nwabughiogu 1

1 National Space Research and Development Agency (NASRDA), Abuja, Nigeria.
2 African Regional Centre for Space Science and Technology Education- English (Arcsste-E), Ile-Ife, Osun State, Nigeria.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 2768–2790
Article DOI: 10.30574/wjarr.2024.23.1.2277
 
Publication history: 
Received on 11 June 2024; revised on 25 July 2024; accepted on 27 July 2024
 
Abstract: 
Flood is one of the malevolent effects on the environment that affects man adversely hence needs to be monitored and managed to avoid loss of lives and property. This study assesses flood occurrence and its vulnerability in Kabba/Bunu Local Government area of Kogi State Nigeria. The achieved objectives were mapping out the extent of flood in the area, identifying factors responsible for flooding in the area, and assessing the socio-economic impact of flood in the area. Both primary and secondary data were explored for this study. The primary data used are questionnaire administration and the geographical locations of the area. The secondary data includes; the Sentinel data, Landsat 8 imagery 2021, Aster DEM, and soil data of the study area. However, 50 questionnaire sample size was purposely selected and distributed randomly. Descriptive statistical analysis was performed on the data using frequency and percentage to check the impact of the flood on the environment. Filtering analysis was performed on the Sentinel data to check the flood extent in the study area. Band combination was performed on the Landsat bands (5, 4, 3) and the unsupervised classification method was embraced using the Iso-cluster algorithm to achieve the Landuse and cover of the study area. The drainage of the study area was generated by inputting Aster DEM into the hydrological model of HEC_RAS software and the drainage density was computed using line density calculation. The elevation of the area was generated using the surface analyst tool in the GIS environment on the ASTER DEM. The identified factors such as Landuse, drainage, elevation, and soil were reclassified according to the flood rating scale to identify the vulnerability areas. The result of the flood extent shows 25.6% (67187 Ha) of the study area was flooded. The factors responsible for flood in the study include; soil which is categorized into sandy clay loam covers 17% of the land coverage while sandy loam covers 28.5% and loamy sand covers 54.5%.  The elevation ranges from 75m to 649m, and the land use and cover were classified into vegetation (89224Ha), built-up (69874Ha), water body (269 Ha), and rock (269 Ha). The study shows that there is an impact of flood on the environment when all the impact factors were strongly agreed and agreed to by the respondents.
 
Keywords: 
Flood; Vulnerability; Environment; Drainage; and Elevation; AsterDEM
 
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