Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Flood Vulnerability Analysis in Alimosho Local Government Area, Lagos State Cooperative Information Network, Obafemi Awolowo University, Osun State

Authors: Egwuogu, Chibuzor;

Flood Vulnerability Analysis in Alimosho Local Government Area, Lagos State Cooperative Information Network, Obafemi Awolowo University, Osun State

Abstract

Alimosho Local Government Area (LGA) is the most populated LGA in Lagos state. Recently, flooding has devastated lives and properties, hampering residents' daily activities when rain falls. This research adopts geospatial techniques and Multi- Criteria Decision Analysis (MCDA) to map out areas vulnerable to flood and to evaluate flood mitigation measures in the study area. Satellite images (such as topographic maps, Shuttle Radar Thematic Mission (SRTM)), Rainfall data (GCM), Landsat TM (2005), and OLI (2015) were acquired to get five criteria i.e Slope, Annual Mean Rainfall (AMR), density, Digital Elevation Model (DEM) and Land Use / Land cover (LULC) which are perceived to influence flooding, and they were subsequently ranked according to their importance using ArcGIS and Erdas Imagine, respectively. The analytical Hierarchy Process (AHP) approach was used to assign weight to the factors used for the multi-criteria analysis. The weighted sum analysis overlaid the processed maps to generate the flood vulnerability map. The result shows that most areas in Alimosho LGA are vulnerable to flooding in various degrees.

Keywords

Multi-Criteria Decision Analysis, Flood Vulnerability Map, Analytical Hierarchy Process, Geo-Spatial Techniques, Flood

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average