Abstract

River flooding has become a widely distributed and devastating natural disaster that has caused significant damages both economically and socially in Nigeria. Although, the Nigeria Meteorological Agency (NiMet) are always on time to provide flood warnings prior to flood disasters, spatial information pertaining to the areal extent vulnerable to the hazard are not usually made available. This study focuses on the application of geospatial techniques and quantitative research method for the assessment and analysis of flood risk and vulnerability assessment along the River Benue Basin of Kogi State. Digital Elevation Model (DEM) and Landsat Thematic Mapper (TM) images for 2010, 2014 and 2018 were used. These images were processed, digitized, interpolated, classified, overlaid and buffered using the ArcMap 10.3.1 GIS software to generate classified land use/cover maps, topographic map and flood physical vulnerability maps. Household questionnaires which contained structured questions were distributed and obtained to analyse the social-economic vulnerability of the study area using descriptive analysis. The study revealed that areas within 6-kilometre buffer from the River Benue are most vulnerable to flood hazard with the vulnerability decreasing towards the southern part. The two urban areas in the study area (Abejukolo and Oguma) are vulnerable to flood threat. Abejukolo is vulnerable due to high water footprint in the town and its surroundings. The factors that increase flood vulnerability of the inhabitants are low elevation, high illiteracy rate, high numbers of dependent population, poverty, low quality housing, poor land use and planning, inadequacy or absence of risk communication tools. The study recommends the development of guidelines for land use, continuous vulnerability mapping of the study area especially in the flood risk probability months (April to October), construction of dams to contain release water from the upstream, collaboration of NEMA with the local Government and traditional rulers for effective risk communication and relocation of communities lying on the river Benue basin in other to reduce the population vulnerability to flood impacts.

Highlights

  • The National Oceanic and Atmospheric Administration [1] described flood as a discharge of water more than the carrying capacity of the available channel

  • This study focuses on the application of geospatial techniques and quantitative research method for the assessment and analysis of flood risk and vulnerability assessment along the River Benue Basin of Kogi State

  • The study has investigated flood risk and assesses vulnerability to flood along the River Benue Basin of Kogi state using geospatial techniques and survey

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Summary

Introduction

The National Oceanic and Atmospheric Administration [1] described flood as a discharge of water more than the carrying capacity of the available channel It is a natural disaster which has considerable consequences on human life and the neighbouring environment. The major rivers in Nigeria (Niger and Benue) emerge by many urban areas. It was recorded that these flooding occur mostly between the month of July and October when excessive rainfall is experienced in the country Many of these flooding were linked to dam release/failure or other disequilibrium effects on the river channels such as tidal waves. [5] [6] [7] all affirmed that the use of information gotten remotely in GIS system has proven to be the best approach for evaluating river flooding and risk determination. The paper aims at examining the area at flood risk while determining the factors that increase the vulnerability of communities at flood risk

The Study Area
Data and Research Methodology
Fieldwork and Primary Data Collection
Spatial Analysis Techniques
Hazard Zoning
Assessment of Socio-Economic Vulnerability
Results and Analysis
Elevation of the Study Area
Distance from River Channel
Children and Elderly Population
Gender
Illiterate Population
Housing Type and Location
Poverty
Traditional Method
Flood Hazard Map
Conclusion
Full Text
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