Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia

Global warming is caused by greenhouse gases resulting from natural causes and human activities. This event causes the sea level rise (SLR). The effects of SLR are the submerging of an area, saltwater intrusion, erosion, and the destruction of infrastructure and marine ecosystems. The objectives of...

Full description

Saved in:
Bibliographic Details
Main Authors: Isfarita Ismail, Mohd Lokman Husain, Ejria Saleh, Mohamed Shawal M. Muslim
Format: Article
Language:English
Published: Universiti Teknologi Malaysia 2024
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/42891/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42891/
https://doi.org/10.11113/jagst.v4n2.93
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ums.eprints.42891
record_format eprints
spelling my.ums.eprints.428912025-02-17T07:13:23Z https://eprints.ums.edu.my/id/eprint/42891/ Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia Isfarita Ismail Mohd Lokman Husain Ejria Saleh Mohamed Shawal M. Muslim DS595-595.2 Ethnography GC1-1581 Oceanography Global warming is caused by greenhouse gases resulting from natural causes and human activities. This event causes the sea level rise (SLR). The effects of SLR are the submerging of an area, saltwater intrusion, erosion, and the destruction of infrastructure and marine ecosystems. The objectives of this study are to identify the year when the sea water level rises 1 m, 2 m, and 3 m and to estimate inundated areas that are affected by floods at different sea water level scenarios at major towns of East Coast Peninsular Malaysia. The major cities selected are Kota Bharu, Kuala Terengganu, Kuantan, and Kota Tinggi, with a study site area of 96 km2 , 38 km2 , 16 km2, and 10 km2 , respectively. Study site selection is based on the high concentration of socioeconomic (quality of life, economic value, and infrastructure). The SLR of 1 m, 2 m, and 3 m was based on tidal data and IFSAR data for the SLR simulation. The data collected were analyzed using ERDAS 2011 and ArcGIS software. Based on the 1 m to 3 m SLR, the water level is predicted to occur from 2319 to 2374 for all study areas. Results indicate that Kota Bharu is the most affected by the 1, 2, and 3 m SLR, with an inundation area of 15%, 37%, and 60% of its total study area. For 1 m SLR, just 5% of the total study area will be inundated in Kuala Terengganu, but this will increase to 51% when the water level rises to 3 m. Kuantan and Kota Tinggi are located on higher ground, where an increase in seawater level to 3 m will affect about 40% of the study area. Other factors related to extreme events or/and human activities would be accelerating sea-level rise to severe impacts on low-lying over a short period. However, information on SLR projection at the local level is indeed part of the future coastal management and town development. Adaptation options and flood mitigation for the most affected area should be considered to minimize the impact of SLR. Universiti Teknologi Malaysia 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42891/1/FULL%20TEXT.pdf Isfarita Ismail and Mohd Lokman Husain and Ejria Saleh and Mohamed Shawal M. Muslim (2024) Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia. Journal of Advanced Geospatial Science and Technology, 4 (2). pp. 1-19. https://doi.org/10.11113/jagst.v4n2.93
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic DS595-595.2 Ethnography
GC1-1581 Oceanography
spellingShingle DS595-595.2 Ethnography
GC1-1581 Oceanography
Isfarita Ismail
Mohd Lokman Husain
Ejria Saleh
Mohamed Shawal M. Muslim
Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia
description Global warming is caused by greenhouse gases resulting from natural causes and human activities. This event causes the sea level rise (SLR). The effects of SLR are the submerging of an area, saltwater intrusion, erosion, and the destruction of infrastructure and marine ecosystems. The objectives of this study are to identify the year when the sea water level rises 1 m, 2 m, and 3 m and to estimate inundated areas that are affected by floods at different sea water level scenarios at major towns of East Coast Peninsular Malaysia. The major cities selected are Kota Bharu, Kuala Terengganu, Kuantan, and Kota Tinggi, with a study site area of 96 km2 , 38 km2 , 16 km2, and 10 km2 , respectively. Study site selection is based on the high concentration of socioeconomic (quality of life, economic value, and infrastructure). The SLR of 1 m, 2 m, and 3 m was based on tidal data and IFSAR data for the SLR simulation. The data collected were analyzed using ERDAS 2011 and ArcGIS software. Based on the 1 m to 3 m SLR, the water level is predicted to occur from 2319 to 2374 for all study areas. Results indicate that Kota Bharu is the most affected by the 1, 2, and 3 m SLR, with an inundation area of 15%, 37%, and 60% of its total study area. For 1 m SLR, just 5% of the total study area will be inundated in Kuala Terengganu, but this will increase to 51% when the water level rises to 3 m. Kuantan and Kota Tinggi are located on higher ground, where an increase in seawater level to 3 m will affect about 40% of the study area. Other factors related to extreme events or/and human activities would be accelerating sea-level rise to severe impacts on low-lying over a short period. However, information on SLR projection at the local level is indeed part of the future coastal management and town development. Adaptation options and flood mitigation for the most affected area should be considered to minimize the impact of SLR.
format Article
author Isfarita Ismail
Mohd Lokman Husain
Ejria Saleh
Mohamed Shawal M. Muslim
author_facet Isfarita Ismail
Mohd Lokman Husain
Ejria Saleh
Mohamed Shawal M. Muslim
author_sort Isfarita Ismail
title Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia
title_short Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia
title_full Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia
title_fullStr Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia
title_full_unstemmed Sea level rise simulation at Major Towns of East Coast of Peninsular Malaysia
title_sort sea level rise simulation at major towns of east coast of peninsular malaysia
publisher Universiti Teknologi Malaysia
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/42891/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42891/
https://doi.org/10.11113/jagst.v4n2.93
_version_ 1825161833210707968
score 13.239859