Flood Inundation Analysis in Penang Island (Malaysia) Based on InSAR Maps of Land Subsidence and Local Sea Level Scenarios
Penang Island is an important economic center in Malaysia and most of its population live in the coastal areas. Although previous studies have shown that it is vulnerable to rising sea levels, the combination of sea-level rise and local land subsidence would be devastating. Therefore, the objective...
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description | Penang Island is an important economic center in Malaysia and most of its population live in the coastal areas. Although previous studies have shown that it is vulnerable to rising sea levels, the combination of sea-level rise and local land subsidence would be devastating. Therefore, the objective of this study is to apply the local land subsidence model to estimate the inundated areas which relate to sea level rise by 2100. Land subsidence is quantified by the SBAS-InSAR technique on the basis of Sentinel-1 radar images for both ascending and descending tracks. For the first time, the geostatistical analyst method is used to merge the different track results and create the land subsidence models, the results show this method can maximize land deformation fields and minimize deformation errors. According to the land deformation results, all of the coastlines in the east of the island have differing medium levels of subsidence, especially in reclaimed lands and building areas. Lastly, the bathtub model is used to quantify the inundated areas by combing regional sea-level rise projection and local land subsidence models under CoastalDEM in 2100 projections. The results of this study indicate land subsidence that would increase 2.0% and 5.9% of the inundated area based on the different scenarios by 2100 projections. |
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Although previous studies have shown that it is vulnerable to rising sea levels, the combination of sea-level rise and local land subsidence would be devastating. Therefore, the objective of this study is to apply the local land subsidence model to estimate the inundated areas which relate to sea level rise by 2100. Land subsidence is quantified by the SBAS-InSAR technique on the basis of Sentinel-1 radar images for both ascending and descending tracks. For the first time, the geostatistical analyst method is used to merge the different track results and create the land subsidence models, the results show this method can maximize land deformation fields and minimize deformation errors. According to the land deformation results, all of the coastlines in the east of the island have differing medium levels of subsidence, especially in reclaimed lands and building areas. Lastly, the bathtub model is used to quantify the inundated areas by combing regional sea-level rise projection and local land subsidence models under CoastalDEM in 2100 projections. The results of this study indicate land subsidence that would increase 2.0% and 5.9% of the inundated area based on the different scenarios by 2100 projections.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w13111518</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Coastal zone ; Coasts ; Deformation ; Earthquakes ; Flood mapping ; Floods ; Global positioning systems ; GPS ; Interferometric synthetic aperture radar ; Land area ; Land subsidence ; Malaysia ; Radar imaging ; Remote sensing ; Satellites ; Sea level ; Sea level rise ; Software ; Subsidence ; Synthetic aperture radar ; Tsunamis</subject><ispartof>Water (Basel), 2021-06, Vol.13 (11), p.1518</ispartof><rights>COPYRIGHT 2021 MDPI AG</rights><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-9226fd3de366884f3f8e73ef8c91bf0f5c3183c71acbe894304dc2259184e7c3</cites><orcidid>0000-0002-4835-8015</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Gao, Guosheng</creatorcontrib><creatorcontrib>San, Lim Hwee</creatorcontrib><creatorcontrib>Zhu, Yidan</creatorcontrib><title>Flood Inundation Analysis in Penang Island (Malaysia) Based on InSAR Maps of Land Subsidence and Local Sea Level Scenarios</title><title>Water (Basel)</title><description>Penang Island is an important economic center in Malaysia and most of its population live in the coastal areas. Although previous studies have shown that it is vulnerable to rising sea levels, the combination of sea-level rise and local land subsidence would be devastating. Therefore, the objective of this study is to apply the local land subsidence model to estimate the inundated areas which relate to sea level rise by 2100. Land subsidence is quantified by the SBAS-InSAR technique on the basis of Sentinel-1 radar images for both ascending and descending tracks. For the first time, the geostatistical analyst method is used to merge the different track results and create the land subsidence models, the results show this method can maximize land deformation fields and minimize deformation errors. According to the land deformation results, all of the coastlines in the east of the island have differing medium levels of subsidence, especially in reclaimed lands and building areas. Lastly, the bathtub model is used to quantify the inundated areas by combing regional sea-level rise projection and local land subsidence models under CoastalDEM in 2100 projections. The results of this study indicate land subsidence that would increase 2.0% and 5.9% of the inundated area based on the different scenarios by 2100 projections.</description><subject>Analysis</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Deformation</subject><subject>Earthquakes</subject><subject>Flood mapping</subject><subject>Floods</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Interferometric synthetic aperture radar</subject><subject>Land area</subject><subject>Land subsidence</subject><subject>Malaysia</subject><subject>Radar imaging</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Sea level</subject><subject>Sea level rise</subject><subject>Software</subject><subject>Subsidence</subject><subject>Synthetic aperture radar</subject><subject>Tsunamis</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUU1LAzEQXUTBUnvwHwS82EPr5mN3k-NarC5sUWzvS5pMSso2qZuuUn-9KRVx5jBvZt48GF6S3OJ0SqlIH74wxRhnmF8kA5IWdMIYw5f_8HUyCmGbxmCC8ywdJN_z1nuNKtc7LQ_WO1Q62R6DDcg69AZOug2qQiudRvcL2cq4kmP0KANoFNmVW5bvaCH3AXmD6hNt2a-D1eAUoFNbeyVbtASJaviEiFQU7awPN8mVkW2A0W8dJqv502r2Mqlfn6tZWU8UyfLDRBCSG0010DznnBlqOBQUDFcCr01qMkUxp6rAUq2BC0ZTphUhmcCcQaHoMLk7y-47_9FDODRb33fxydCQjAohOGYksqZn1ka20Fhn_KGTKqaGnVXegbFxXhaCkpwyjOPB-HygOh9CB6bZd3Ynu2OD0-bkRvPnBv0BcjF6Aw</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Gao, Guosheng</creator><creator>San, Lim Hwee</creator><creator>Zhu, Yidan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-4835-8015</orcidid></search><sort><creationdate>20210601</creationdate><title>Flood Inundation Analysis in Penang Island (Malaysia) Based on InSAR Maps of Land Subsidence and Local Sea Level Scenarios</title><author>Gao, Guosheng ; San, Lim Hwee ; Zhu, Yidan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-9226fd3de366884f3f8e73ef8c91bf0f5c3183c71acbe894304dc2259184e7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Deformation</topic><topic>Earthquakes</topic><topic>Flood mapping</topic><topic>Floods</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Interferometric synthetic aperture radar</topic><topic>Land area</topic><topic>Land subsidence</topic><topic>Malaysia</topic><topic>Radar imaging</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Sea level</topic><topic>Sea level rise</topic><topic>Software</topic><topic>Subsidence</topic><topic>Synthetic aperture radar</topic><topic>Tsunamis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Guosheng</creatorcontrib><creatorcontrib>San, Lim Hwee</creatorcontrib><creatorcontrib>Zhu, Yidan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Guosheng</au><au>San, Lim Hwee</au><au>Zhu, Yidan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flood Inundation Analysis in Penang Island (Malaysia) Based on InSAR Maps of Land Subsidence and Local Sea Level Scenarios</atitle><jtitle>Water (Basel)</jtitle><date>2021-06-01</date><risdate>2021</risdate><volume>13</volume><issue>11</issue><spage>1518</spage><pages>1518-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>Penang Island is an important economic center in Malaysia and most of its population live in the coastal areas. Although previous studies have shown that it is vulnerable to rising sea levels, the combination of sea-level rise and local land subsidence would be devastating. Therefore, the objective of this study is to apply the local land subsidence model to estimate the inundated areas which relate to sea level rise by 2100. Land subsidence is quantified by the SBAS-InSAR technique on the basis of Sentinel-1 radar images for both ascending and descending tracks. For the first time, the geostatistical analyst method is used to merge the different track results and create the land subsidence models, the results show this method can maximize land deformation fields and minimize deformation errors. According to the land deformation results, all of the coastlines in the east of the island have differing medium levels of subsidence, especially in reclaimed lands and building areas. Lastly, the bathtub model is used to quantify the inundated areas by combing regional sea-level rise projection and local land subsidence models under CoastalDEM in 2100 projections. The results of this study indicate land subsidence that would increase 2.0% and 5.9% of the inundated area based on the different scenarios by 2100 projections.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w13111518</doi><orcidid>https://orcid.org/0000-0002-4835-8015</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Coastal zone Coasts Deformation Earthquakes Flood mapping Floods Global positioning systems GPS Interferometric synthetic aperture radar Land area Land subsidence Malaysia Radar imaging Remote sensing Satellites Sea level Sea level rise Software Subsidence Synthetic aperture radar Tsunamis |
title | Flood Inundation Analysis in Penang Island (Malaysia) Based on InSAR Maps of Land Subsidence and Local Sea Level Scenarios |
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