Sign up Log in
rjees logo



Geospatial Mapping of Areas Vulnerable to Flooding in Ado-Ekiti, Ekiti State, Nigeria

Authors: Fateye OB, Garba SS, Musa AA

ABSTRACT

Flood damage is always very serious, often leading to economic and cultural losses. There are many records of flooding in Ado-Ekiti. The aim of this study is to map areas vulnerable to flooding in Ado-Ekiti using geographical information system (GIS) and remote sensing. Data used for the research include IKONOS imagery, digital elevation model (DEM) and field survey. The imagery was classified into Landuse Landcover (LULC) as follows: vegetation, water body, plantation, built-up area and bare land. DEM was used for analysis of slope, elevation and flow accumulation. Three scenarios were used to generate flood vulnerability maps. In scenario one, computed percentage influence of vulnerability factors was used and it showed that less than 1% of the entire study area falls under very high vulnerability which includes such areas as EKSUTH, Textile and Igirigiri. From scenario two, areas like GRA, Odo-Aremu, Ekute, Omisanjana, Ajebamidele, Ureje with high vulnerability accounted for about 20.09% of the study area while scenario three recorded that areas like Moferere and Adebayo falls within the 59.26% areas with moderate vulnerability. It can be concluded that the use of scenario in vulnerability study will yield results that can assist policy formulations geared towards preventing the occurrence of flooding or reducing their effects. Areas with high vulnerability in the study area include GRA, Odo Aremu, Ekute, Omisanjana, Ureje, therefore, government should focus more attention on these areas.


Affiliations: Department of Surveying & Geoinformatics, School of Environmental Studies, The Federal Polytechnic, Ado-Ekiti, Ekiti State, Nigeria.
Keywords: Remote Sensing, Digital Elevation Model, Flooding, Vulnerability, Mapping, Scenario
Published date: 2018/12/30

Download Full Text

SUBMIT A MANUSCRIPT

ISSN: 2635-3342 (Print)

ISSN: 2635-3350 (Online)

DOI: In progress

ISI Impact Factor: In progress

Indexing & Abstracting
google scholar Directory of research journal indexing JIFactor Info base index scientific journal impact factor

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License



(+234) 806 927 5563

Chemical Engineering Department, Faculty of Engineering, University of Benin, PMB 1154, Ugbowo, Benin City, Edo State, Nigeria.