eprintid: 4653
rev_number: 4
eprint_status: archive
userid: 1
dir: disk0/00/00/46/53
datestamp: 2024-07-22 10:32:35
lastmod: 2024-07-22 10:32:35
status_changed: 2024-07-22 10:32:35
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Daniels, Ekow
creators_id: S4874560
creators_email: ekowdaniels1992@gmail.com
title: Coastal Flood Vulnerability in Ghana
ispublished: unpub
full_text_status: public
abstract: Climate change poses a challenge to coastal cities in the world. As global coastal populations are estimated to grow in the face of rising sea levels and changing precipitation patterns coastal cities are becoming increasingly vulnerable to floods. Ghana has a coastline of approximately 560km which yearly experiences coastal flooding due to these climate change-induced flood hazards. For this reason, this study seeks to assess coastal flood vulnerability in Ghana at a district level to answer the central question What are the most vulnerable coastal districts to floods in Ghana? This study adopts the indicator approach using the Multi-Criteria Decision Analysis (MCDA) based on an Analytical Hierarchy Process (AHP) to determine the weights in addition to geoprocessing tools in a GIS environment to generate a Coastal Flood Vulnerability Index of the coastal districts of Ghana. The results indicate that the Ketu South Municipality is the most vulnerable coastal district to floods with a mean index of 3.8 indicating high vulnerability to floods. This research would help policymakers address the ongoing problem of floods in the coastal districts of Ghana by providing a basis for flood impact mitigation.
date: 2024
pages: 40
thesis_type: bachelor
degree_programme: SGP
tutors_name: Vos, D.
tutors_organization: Fac. Ruimtelijke wetenschappen, Basiseenheid Culturele Geografie
tutors_email: D.Vos@rug.nl
security: public
keywords_local: Coastal Flood Vulnerability
keywords_local: Ghana Districts
keywords_local: Analytical Hierarchy Process
keywords_local: Multi-Criteria Decision Analysis
keywords_local: Physical Flood Vulnerability
keywords_local: Social Flood Vulnerability
keywords_local: GIS
language_iso: en
date_issued: 2024-07-22
comment: This thesis does not contain confidential information that could breach confidential agreements, privacy laws, or the GDPR with all the data used being publicly available. This research can help decision-makers in Ghana identify the districts most vulnera
citation:   Daniels, Ekow  (2024) Coastal Flood Vulnerability in Ghana.  Bachelor thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/4653/1/Final-Thesis-S4874560Ekow-Daniels.pdf