Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin

Sea-level rise (SLR) is one of the major consequences of climate change. Extreme climate change may lead to sea level rise and it cause negative consequences on infrastructures. The studies on this issue are poorly conducted in rural island in west coast of peninsular Malaysia. Thus, the aim of this...

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Main Author:	Zainal Abidin, Muhammad Ilzad
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Aerial geography Geomatics GC Oceanography
Online Access:	https://ir.uitm.edu.my/id/eprint/43845/1/43845.pdf
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id	my-uitm-ir.43845
record_format	uketd_dc
spelling	my-uitm-ir.438452021-04-22T01:58:36Z Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin 2021-03-19 Zainal Abidin, Muhammad Ilzad Aerial geography Geomatics GC Oceanography Sea-level rise (SLR) is one of the major consequences of climate change. Extreme climate change may lead to sea level rise and it cause negative consequences on infrastructures. The studies on this issue are poorly conducted in rural island in west coast of peninsular Malaysia. Thus, the aim of this study is to determine the potentially affected area from sea level rise in 2040 using Landsat 8 OLI, elevation from Google application and Altimeter AR4 regression model at Pantai Cenang Langkawi. Shoreline changes were extracted using combination of threshold histogram and band rationing of Landsat 8-oli were estimated between year 2013 and 2020 along Pantai Cenang. based on the value of erosion and creation gathered, the location of highest erosion value were highlighted to estimate the surface condition using elevations data from google earth during 7 year duration. Based on the altimeter AR4 regression model data gathered, the estimation of sea level rise for year 2020 and 2040 were calculated using IDW interpolation calculation applied by NAHRIM (2010). From the estimation value of sea level rise in 2040, the nearest building on the lowers slope analyst from second objective were categorized as high risk areas to receive the impact of sea level rise in the future. It was found that, there are areas that showed minimal accretion and erosion in some parts of the study area. However, there are also high erosion effects on the certain places. As a result of analysis on the hotspot area’s surface conditions, there is a low elevation area with minor range between the highest waterline and the coastline. Moreover, the water surface of Teluk Ewa port is around 5.71 meter which is calculated from MSL datum. Meanwhile the water value of prediction using IDW will be increased around 0.06 meter and 0.17 meter for years 2020 and 2040 respectively. Through the calculation of sea level increases for 2040, the area potentially be affected by the sea level rise in 2040 were approximately around 10,191.93 m². The integration Landsat 8-Oli imageries and Google Earth elevation data can be used for investigation and preliminary studies on shoreline changes detection. By Applying the prediction of sea level rise to shoreline changes map, it help to approximately identify the potential area that will impacted on sea level rise on the future. 2021-03 Thesis https://ir.uitm.edu.my/id/eprint/43845/ https://ir.uitm.edu.my/id/eprint/43845/1/43845.pdf text en public degree Universiti Teknologi MARA Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Geomatics GC Oceanography
spellingShingle	Aerial geography Geomatics GC Oceanography Zainal Abidin, Muhammad Ilzad Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin
description	Sea-level rise (SLR) is one of the major consequences of climate change. Extreme climate change may lead to sea level rise and it cause negative consequences on infrastructures. The studies on this issue are poorly conducted in rural island in west coast of peninsular Malaysia. Thus, the aim of this study is to determine the potentially affected area from sea level rise in 2040 using Landsat 8 OLI, elevation from Google application and Altimeter AR4 regression model at Pantai Cenang Langkawi. Shoreline changes were extracted using combination of threshold histogram and band rationing of Landsat 8-oli were estimated between year 2013 and 2020 along Pantai Cenang. based on the value of erosion and creation gathered, the location of highest erosion value were highlighted to estimate the surface condition using elevations data from google earth during 7 year duration. Based on the altimeter AR4 regression model data gathered, the estimation of sea level rise for year 2020 and 2040 were calculated using IDW interpolation calculation applied by NAHRIM (2010). From the estimation value of sea level rise in 2040, the nearest building on the lowers slope analyst from second objective were categorized as high risk areas to receive the impact of sea level rise in the future. It was found that, there are areas that showed minimal accretion and erosion in some parts of the study area. However, there are also high erosion effects on the certain places. As a result of analysis on the hotspot area’s surface conditions, there is a low elevation area with minor range between the highest waterline and the coastline. Moreover, the water surface of Teluk Ewa port is around 5.71 meter which is calculated from MSL datum. Meanwhile the water value of prediction using IDW will be increased around 0.06 meter and 0.17 meter for years 2020 and 2040 respectively. Through the calculation of sea level increases for 2040, the area potentially be affected by the sea level rise in 2040 were approximately around 10,191.93 m². The integration Landsat 8-Oli imageries and Google Earth elevation data can be used for investigation and preliminary studies on shoreline changes detection. By Applying the prediction of sea level rise to shoreline changes map, it help to approximately identify the potential area that will impacted on sea level rise on the future.
format	Thesis
qualification_level	Bachelor degree
author	Zainal Abidin, Muhammad Ilzad
author_facet	Zainal Abidin, Muhammad Ilzad
author_sort	Zainal Abidin, Muhammad Ilzad
title	Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin
title_short	Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin
title_full	Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin
title_fullStr	Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin
title_full_unstemmed	Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin
title_sort	determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter ar4 regression model at pantai cenang, langkawi / muhammad ilzad zainal abidin
granting_institution	Universiti Teknologi MARA Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/43845/1/43845.pdf
_version_	1783734708585103360

Determination of potential area affected by sea level rise in year 2040 using open sources data and altimeter Ar4 regression model at Pantai Cenang, Langkawi / Muhammad Ilzad Zainal Abidin

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