Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana

The growing economic, social and ecological importance of coastal areas in Ghana has increased the challenges associated with sustainably managing the coastal resources. The coastal areas have become more prone and vulnerable to natural and human-made hazards such as coastal erosion. Shoreline retre...

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Main Authors: Kwadwo Y. Amoani, Kwasi Appeaning−Addo, Wahab S. Laryea
Format: Article
Language:English
Published: AOSIS 2012-07-01
Series:Jàmbá : Journal of Disaster Risk Studies
Online Access:https://jamba.org.za/index.php/jamba/article/view/45
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spelling doaj-fa485c65c48d442b8b6cd9a224c371a82020-11-24T23:35:34ZengAOSISJàmbá : Journal of Disaster Risk Studies1996-14212072-845X2012-07-0141e1e710.4102/jamba.v4i1.4549Short-term shoreline evolution trend assessment: A case study in Glefe, GhanaKwadwo Y. Amoani0Kwasi Appeaning−Addo1Wahab S. Laryea2University Of GhanaUniversity Of GhanaUniversity Of GhanaThe growing economic, social and ecological importance of coastal areas in Ghana has increased the challenges associated with sustainably managing the coastal resources. The coastal areas have become more prone and vulnerable to natural and human-made hazards such as coastal erosion. Shoreline retreat is recognised as a burgeoning threat because of global climate change and other anthropogenic activities that alter the natural processes sustaining beaches and coasts. This article describes an application of Real-time Kinematic-Global Positioning System (RTK-GPS) technology and digitising of shorelines from orthophotos to detect and analyse the spatial changes as well as quantify the result of shoreline change at Glefe, a suburb of Accra in Ghana. Shoreline positions from a 2005 orthophoto and a 2011 RTK-GPS survey were overlaid in MATLAB (Matrix Laboratory) and the average rate of change determined using the endpoint rate (EPR) method. The shoreline change rate determined for Glefe between 2005 and 2011 was 1.2 m/a ± 1.3 m/a, indicating a relatively high rate of erosion. Outcomes of the case study can be used as a basis for a sustainable integrated management plan for the coastal area.https://jamba.org.za/index.php/jamba/article/view/45
collection DOAJ
language English
format Article
sources DOAJ
author Kwadwo Y. Amoani
Kwasi Appeaning−Addo
Wahab S. Laryea
spellingShingle Kwadwo Y. Amoani
Kwasi Appeaning−Addo
Wahab S. Laryea
Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana
Jàmbá : Journal of Disaster Risk Studies
author_facet Kwadwo Y. Amoani
Kwasi Appeaning−Addo
Wahab S. Laryea
author_sort Kwadwo Y. Amoani
title Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana
title_short Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana
title_full Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana
title_fullStr Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana
title_full_unstemmed Short-term shoreline evolution trend assessment: A case study in Glefe, Ghana
title_sort short-term shoreline evolution trend assessment: a case study in glefe, ghana
publisher AOSIS
series Jàmbá : Journal of Disaster Risk Studies
issn 1996-1421
2072-845X
publishDate 2012-07-01
description The growing economic, social and ecological importance of coastal areas in Ghana has increased the challenges associated with sustainably managing the coastal resources. The coastal areas have become more prone and vulnerable to natural and human-made hazards such as coastal erosion. Shoreline retreat is recognised as a burgeoning threat because of global climate change and other anthropogenic activities that alter the natural processes sustaining beaches and coasts. This article describes an application of Real-time Kinematic-Global Positioning System (RTK-GPS) technology and digitising of shorelines from orthophotos to detect and analyse the spatial changes as well as quantify the result of shoreline change at Glefe, a suburb of Accra in Ghana. Shoreline positions from a 2005 orthophoto and a 2011 RTK-GPS survey were overlaid in MATLAB (Matrix Laboratory) and the average rate of change determined using the endpoint rate (EPR) method. The shoreline change rate determined for Glefe between 2005 and 2011 was 1.2 m/a ± 1.3 m/a, indicating a relatively high rate of erosion. Outcomes of the case study can be used as a basis for a sustainable integrated management plan for the coastal area.
url https://jamba.org.za/index.php/jamba/article/view/45
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