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Community based index of coastal erosion using AHP analysis

Coastal erosion can be seen on practically every beach in Malaysia, but it is especially common on the country's east coast. Depending on the severity of the erosion, coastal erosion has been addressed using a variety of methods and treatments. However, it is critical for coastal managers and r...

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Main Authors: Wan Khairuddin, Wan Norshuhada, Rambat, Shuib, Harun, Aizul Nahar
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/103720/1/ShuibRambat2022_CommunityBasedIndexofCoastalErosion.pdf
http://eprints.utm.my/103720/
http://dx.doi.org/10.1088/1755-1315/1091/1/012042
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spelling my.utm.1037202023-11-23T08:43:14Z http://eprints.utm.my/103720/ Community based index of coastal erosion using AHP analysis Wan Khairuddin, Wan Norshuhada Rambat, Shuib Harun, Aizul Nahar T Technology (General) Coastal erosion can be seen on practically every beach in Malaysia, but it is especially common on the country's east coast. Depending on the severity of the erosion, coastal erosion has been addressed using a variety of methods and treatments. However, it is critical for coastal managers and responsible authorities to have an erosion index that can be used to determine the level of erosion so that suitable mitigation and treatment methods may be designed. The factors that contribute to coastal erosion must be identified and classified, and this study will use a literature review and community feedback questionnaires to identify the primary factors that contribute to coastal erosion. The AHP method will be used in this paper to assess the level of contribution of each parameter influencing coastal erosion. According to the findings of the AHP analysis, coastal structure was the most influential factor in coastal erosion, followed by human activity, waves, and wind, with weights of 0.5333, 0.2404, 0.1804, and 0.0459, respectively. This weighting of factors will be supplementary to existing guidelines such as NCES in making quick decisions, particularly in coastal areas that require immediate mitigation, and will serve as an additional guide to local agencies in planning. 2022 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/103720/1/ShuibRambat2022_CommunityBasedIndexofCoastalErosion.pdf Wan Khairuddin, Wan Norshuhada and Rambat, Shuib and Harun, Aizul Nahar (2022) Community based index of coastal erosion using AHP analysis. In: 9th AUN/SEED-Net Regional Conference on Natural Disaster, RCND 2021, 15 December 2021 - 16 December 2021, Virtual, Online. http://dx.doi.org/10.1088/1755-1315/1091/1/012042
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Wan Khairuddin, Wan Norshuhada
Rambat, Shuib
Harun, Aizul Nahar
Community based index of coastal erosion using AHP analysis
description Coastal erosion can be seen on practically every beach in Malaysia, but it is especially common on the country's east coast. Depending on the severity of the erosion, coastal erosion has been addressed using a variety of methods and treatments. However, it is critical for coastal managers and responsible authorities to have an erosion index that can be used to determine the level of erosion so that suitable mitigation and treatment methods may be designed. The factors that contribute to coastal erosion must be identified and classified, and this study will use a literature review and community feedback questionnaires to identify the primary factors that contribute to coastal erosion. The AHP method will be used in this paper to assess the level of contribution of each parameter influencing coastal erosion. According to the findings of the AHP analysis, coastal structure was the most influential factor in coastal erosion, followed by human activity, waves, and wind, with weights of 0.5333, 0.2404, 0.1804, and 0.0459, respectively. This weighting of factors will be supplementary to existing guidelines such as NCES in making quick decisions, particularly in coastal areas that require immediate mitigation, and will serve as an additional guide to local agencies in planning.
format Conference or Workshop Item
author Wan Khairuddin, Wan Norshuhada
Rambat, Shuib
Harun, Aizul Nahar
author_facet Wan Khairuddin, Wan Norshuhada
Rambat, Shuib
Harun, Aizul Nahar
author_sort Wan Khairuddin, Wan Norshuhada
title Community based index of coastal erosion using AHP analysis
title_short Community based index of coastal erosion using AHP analysis
title_full Community based index of coastal erosion using AHP analysis
title_fullStr Community based index of coastal erosion using AHP analysis
title_full_unstemmed Community based index of coastal erosion using AHP analysis
title_sort community based index of coastal erosion using ahp analysis
publishDate 2022
url http://eprints.utm.my/103720/1/ShuibRambat2022_CommunityBasedIndexofCoastalErosion.pdf
http://eprints.utm.my/103720/
http://dx.doi.org/10.1088/1755-1315/1091/1/012042
_version_ 1783876405942026240
score 13.244413

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