Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia

Sea level rise has posed a serious threat particularly to the coastal environment due to its prominent association to the land inundation. The rise of global sea level might be inevitable, however the assessment of the impending impacts of the sea level rise is a vital approach to mitigate the incom...

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Main Author: Ainee, Adzlan
Format: Thesis
Language:English
Published: 2016
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Online Access:http://eprints.utm.my/id/eprint/77789/1/AdzlanAineeMFGHT2016.pdf
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spelling my-utm-ep.777892018-07-04T11:47:55Z Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia 2016-10 Ainee, Adzlan G70.212-70.215 Geographic information system Sea level rise has posed a serious threat particularly to the coastal environment due to its prominent association to the land inundation. The rise of global sea level might be inevitable, however the assessment of the impending impacts of the sea level rise is a vital approach to mitigate the incoming impacts. This study is an initiative to assist coastal vulnerability assessment due to the sea level rise impacts specifically across Malaysian coastal regions by using Mean Tidal Range parameter derived from tidal models. The tidal models were generated from merged along-track TOPEX and Jason-1 sea level anomalies (SLA) data retrieved in Radar Altimeter Database System (RADS) for South China Sea region covering latitude 0° N to 13° N and longitude 98° E to 120° E. Tidal harmonic analysis was performed by using t-tide Matlab programme to estimate amplitude and phase for tidal constituents M2, S2, K1 and O1 from altimetry data. The corresponding tidal constituents were subsequently interpolated into 0.25° square grids. The overall accuracy of the tidal models is Root Sum Square (RSS) whose value is 8.59 cm, while the Root Mean Square (RMS) of Mean Tidal Range values derived from the tidal models is 17.12 cm. Subsequent to the derivation of Mean Tidal Range from the corresponding tidal models, it can be inferred that Mean Tidal Range values for Malaysian coastal regions vary from 81.95 cm to 158.97 cm. There is a consensus in various coastal vulnerability studies that a region whose Mean Tidal Range value less than 2 meters is the most susceptible region to the sea level rise impacts. Therefore, Malaysian coastal regions can be generally categorized as vulnerable due to the sea level rise threats. The use of tidal models are expected to complement the existing coastal management system in order to monitor level of coastal severity caused by the sea level rise impacts especially for Malaysian coastal region. 2016-10 Thesis http://eprints.utm.my/id/eprint/77789/ http://eprints.utm.my/id/eprint/77789/1/AdzlanAineeMFGHT2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:95198 masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic G70.212-70.215 Geographic information system
spellingShingle G70.212-70.215 Geographic information system
Ainee, Adzlan
Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia
description Sea level rise has posed a serious threat particularly to the coastal environment due to its prominent association to the land inundation. The rise of global sea level might be inevitable, however the assessment of the impending impacts of the sea level rise is a vital approach to mitigate the incoming impacts. This study is an initiative to assist coastal vulnerability assessment due to the sea level rise impacts specifically across Malaysian coastal regions by using Mean Tidal Range parameter derived from tidal models. The tidal models were generated from merged along-track TOPEX and Jason-1 sea level anomalies (SLA) data retrieved in Radar Altimeter Database System (RADS) for South China Sea region covering latitude 0° N to 13° N and longitude 98° E to 120° E. Tidal harmonic analysis was performed by using t-tide Matlab programme to estimate amplitude and phase for tidal constituents M2, S2, K1 and O1 from altimetry data. The corresponding tidal constituents were subsequently interpolated into 0.25° square grids. The overall accuracy of the tidal models is Root Sum Square (RSS) whose value is 8.59 cm, while the Root Mean Square (RMS) of Mean Tidal Range values derived from the tidal models is 17.12 cm. Subsequent to the derivation of Mean Tidal Range from the corresponding tidal models, it can be inferred that Mean Tidal Range values for Malaysian coastal regions vary from 81.95 cm to 158.97 cm. There is a consensus in various coastal vulnerability studies that a region whose Mean Tidal Range value less than 2 meters is the most susceptible region to the sea level rise impacts. Therefore, Malaysian coastal regions can be generally categorized as vulnerable due to the sea level rise threats. The use of tidal models are expected to complement the existing coastal management system in order to monitor level of coastal severity caused by the sea level rise impacts especially for Malaysian coastal region.
format Thesis
qualification_level Master's degree
author Ainee, Adzlan
author_facet Ainee, Adzlan
author_sort Ainee, Adzlan
title Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia
title_short Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia
title_full Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia
title_fullStr Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia
title_full_unstemmed Derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in Malaysia
title_sort derivation of tidal constituents from satellite altimetry data for coastal vulnerability assessment in malaysia
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department Faculty of Geoinformation and Real Estate
publishDate 2016
url http://eprints.utm.my/id/eprint/77789/1/AdzlanAineeMFGHT2016.pdf
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