Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP

The acceleration of coastal processes is manifested in the form of coastal erosion, average sea level rise, drastic changes in coastlines, and more turbulent ocean waters. In this study, the coasts of Kerala and Tamil Nadu, India, were selected to identify the effects of increasing coastal processes...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sustainability 2023-06, Vol.15 (12), p.9543
Hauptverfasser: Dwivedi, Chandra Shekhar, Pampattiwar, Shiva Teja, Pandey, Arvind Chandra, Parida, Bikash Ranjan, Mitra, Debashis, Kumar, Navneet
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 12
container_start_page 9543
container_title Sustainability
container_volume 15
creator Dwivedi, Chandra Shekhar
Pampattiwar, Shiva Teja
Pandey, Arvind Chandra
Parida, Bikash Ranjan
Mitra, Debashis
Kumar, Navneet
description The acceleration of coastal processes is manifested in the form of coastal erosion, average sea level rise, drastic changes in coastlines, and more turbulent ocean waters. In this study, the coasts of Kerala and Tamil Nadu, India, were selected to identify the effects of increasing coastal processes. Therefore, it is necessary to identify and map vulnerable areas by taking into account the key parameters, such as topographical and socio-economic factors, to relate to coastal processes. The fuzzy Analytical Hierarchy Process (AHP) method was employed to identify the most vulnerable zones. The key findings revealed that about 14% and 2% of the coast of Tamil Nadu and Kerala, respectively, are classified under the physically highly vulnerable category. Similarly, ~17% and ~30% of coastal Tamil Nadu and Kerala, respectively, are highly socially vulnerable. The overall vulnerability assessment showed that 7–8% of both coastal areas were highly vulnerable. We concluded that the Thiruvallur, Chennai, Kanchipuram, Cuddalore, and Nagapattinam coasts on the east coast and the Malappuram, Thrissur, Ernakulam, Alappuzha, and Kollam coasts on the west coast were very highly vulnerable to coastal processes. Identifying vulnerable zones helps to better understand the impacts of rapid coastal processes and, with this prior estimation, the policymakers can take necessary actions to mitigate the irreversible impacts of coastal processes.
doi_str_mv 10.3390/su15129543
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2829884337</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A758354845</galeid><sourcerecordid>A758354845</sourcerecordid><originalsourceid>FETCH-LOGICAL-c327t-4e153dcb72b48603ae4f392e411e459d9eb4d3565433f84722d7298cbfba762d3</originalsourceid><addsrcrecordid>eNpVkdtKAzEQhhdRUNQbnyDglUJ1c-ruelfqEUXFqrdLdjOpkW1Sk6zYPoZP7EgFNbnIEL7vH5jJsj2aH3Fe5cexp5KySgq-lm2xvKADmst8_U-9me3G-Jrj4ZxWdLiVfY5fVFBtgmCXKlnviDckvQAZexWT6shz3zkIqrGdTQtiHTm1xkAAl8gF-M5PbYvUBFKybhpPyAjN2Rwzk30HMkm9XhBMvcaMThHlNHlUM9uRW6X7VZNIniK65LxfLhejy_udbMOoLsLuz7udPZ2fPY4vBzd3F1fj0c2g5axIAwFUct02BWtEOcy5AmF4xUBQCkJWuoJGaC6HOA5uSlEwpgtWlW1jGlUMmebb2f4qdx78Ww8x1a--Dw5b1qxEskSxQOpoRU1VB7V1xiecF14NM9t6B8bi_6iQJZeiFBKFg38CMgk-0lT1MdZXk4f_7OGKbYOPMYCp58HOVFjUNK-_d1r_7pR_ATyXk0o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829884337</pqid></control><display><type>article</type><title>Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Dwivedi, Chandra Shekhar ; Pampattiwar, Shiva Teja ; Pandey, Arvind Chandra ; Parida, Bikash Ranjan ; Mitra, Debashis ; Kumar, Navneet</creator><creatorcontrib>Dwivedi, Chandra Shekhar ; Pampattiwar, Shiva Teja ; Pandey, Arvind Chandra ; Parida, Bikash Ranjan ; Mitra, Debashis ; Kumar, Navneet</creatorcontrib><description>The acceleration of coastal processes is manifested in the form of coastal erosion, average sea level rise, drastic changes in coastlines, and more turbulent ocean waters. In this study, the coasts of Kerala and Tamil Nadu, India, were selected to identify the effects of increasing coastal processes. Therefore, it is necessary to identify and map vulnerable areas by taking into account the key parameters, such as topographical and socio-economic factors, to relate to coastal processes. The fuzzy Analytical Hierarchy Process (AHP) method was employed to identify the most vulnerable zones. The key findings revealed that about 14% and 2% of the coast of Tamil Nadu and Kerala, respectively, are classified under the physically highly vulnerable category. Similarly, ~17% and ~30% of coastal Tamil Nadu and Kerala, respectively, are highly socially vulnerable. The overall vulnerability assessment showed that 7–8% of both coastal areas were highly vulnerable. We concluded that the Thiruvallur, Chennai, Kanchipuram, Cuddalore, and Nagapattinam coasts on the east coast and the Malappuram, Thrissur, Ernakulam, Alappuzha, and Kollam coasts on the west coast were very highly vulnerable to coastal processes. Identifying vulnerable zones helps to better understand the impacts of rapid coastal processes and, with this prior estimation, the policymakers can take necessary actions to mitigate the irreversible impacts of coastal processes.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su15129543</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Beach erosion ; Climate change ; Coastal erosion ; Coastal processes ; Coastal zone ; Coasts ; Comparative analysis ; Comparative studies ; Decision making ; Economic factors ; Fuzzy logic ; Geology ; Geomorphology ; Geospatial data ; Global warming ; Hierarchies ; Sea level ; Sea level rise ; Shoreline protection ; Social factors ; Socioeconomic factors ; Socioeconomics ; Soil erosion ; Sustainability</subject><ispartof>Sustainability, 2023-06, Vol.15 (12), p.9543</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 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-c327t-4e153dcb72b48603ae4f392e411e459d9eb4d3565433f84722d7298cbfba762d3</cites><orcidid>0000-0002-3270-6193 ; 0000-0001-7444-573X ; 0000-0002-7353-3049 ; 0000-0002-9548-0953</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Dwivedi, Chandra Shekhar</creatorcontrib><creatorcontrib>Pampattiwar, Shiva Teja</creatorcontrib><creatorcontrib>Pandey, Arvind Chandra</creatorcontrib><creatorcontrib>Parida, Bikash Ranjan</creatorcontrib><creatorcontrib>Mitra, Debashis</creatorcontrib><creatorcontrib>Kumar, Navneet</creatorcontrib><title>Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP</title><title>Sustainability</title><description>The acceleration of coastal processes is manifested in the form of coastal erosion, average sea level rise, drastic changes in coastlines, and more turbulent ocean waters. In this study, the coasts of Kerala and Tamil Nadu, India, were selected to identify the effects of increasing coastal processes. Therefore, it is necessary to identify and map vulnerable areas by taking into account the key parameters, such as topographical and socio-economic factors, to relate to coastal processes. The fuzzy Analytical Hierarchy Process (AHP) method was employed to identify the most vulnerable zones. The key findings revealed that about 14% and 2% of the coast of Tamil Nadu and Kerala, respectively, are classified under the physically highly vulnerable category. Similarly, ~17% and ~30% of coastal Tamil Nadu and Kerala, respectively, are highly socially vulnerable. The overall vulnerability assessment showed that 7–8% of both coastal areas were highly vulnerable. We concluded that the Thiruvallur, Chennai, Kanchipuram, Cuddalore, and Nagapattinam coasts on the east coast and the Malappuram, Thrissur, Ernakulam, Alappuzha, and Kollam coasts on the west coast were very highly vulnerable to coastal processes. Identifying vulnerable zones helps to better understand the impacts of rapid coastal processes and, with this prior estimation, the policymakers can take necessary actions to mitigate the irreversible impacts of coastal processes.</description><subject>Beach erosion</subject><subject>Climate change</subject><subject>Coastal erosion</subject><subject>Coastal processes</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Comparative analysis</subject><subject>Comparative studies</subject><subject>Decision making</subject><subject>Economic factors</subject><subject>Fuzzy logic</subject><subject>Geology</subject><subject>Geomorphology</subject><subject>Geospatial data</subject><subject>Global warming</subject><subject>Hierarchies</subject><subject>Sea level</subject><subject>Sea level rise</subject><subject>Shoreline protection</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Soil erosion</subject><subject>Sustainability</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkdtKAzEQhhdRUNQbnyDglUJ1c-ruelfqEUXFqrdLdjOpkW1Sk6zYPoZP7EgFNbnIEL7vH5jJsj2aH3Fe5cexp5KySgq-lm2xvKADmst8_U-9me3G-Jrj4ZxWdLiVfY5fVFBtgmCXKlnviDckvQAZexWT6shz3zkIqrGdTQtiHTm1xkAAl8gF-M5PbYvUBFKybhpPyAjN2Rwzk30HMkm9XhBMvcaMThHlNHlUM9uRW6X7VZNIniK65LxfLhejy_udbMOoLsLuz7udPZ2fPY4vBzd3F1fj0c2g5axIAwFUct02BWtEOcy5AmF4xUBQCkJWuoJGaC6HOA5uSlEwpgtWlW1jGlUMmebb2f4qdx78Ww8x1a--Dw5b1qxEskSxQOpoRU1VB7V1xiecF14NM9t6B8bi_6iQJZeiFBKFg38CMgk-0lT1MdZXk4f_7OGKbYOPMYCp58HOVFjUNK-_d1r_7pR_ATyXk0o</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Dwivedi, Chandra Shekhar</creator><creator>Pampattiwar, Shiva Teja</creator><creator>Pandey, Arvind Chandra</creator><creator>Parida, Bikash Ranjan</creator><creator>Mitra, Debashis</creator><creator>Kumar, Navneet</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-3270-6193</orcidid><orcidid>https://orcid.org/0000-0001-7444-573X</orcidid><orcidid>https://orcid.org/0000-0002-7353-3049</orcidid><orcidid>https://orcid.org/0000-0002-9548-0953</orcidid></search><sort><creationdate>20230601</creationdate><title>Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP</title><author>Dwivedi, Chandra Shekhar ; Pampattiwar, Shiva Teja ; Pandey, Arvind Chandra ; Parida, Bikash Ranjan ; Mitra, Debashis ; Kumar, Navneet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-4e153dcb72b48603ae4f392e411e459d9eb4d3565433f84722d7298cbfba762d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Beach erosion</topic><topic>Climate change</topic><topic>Coastal erosion</topic><topic>Coastal processes</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Comparative analysis</topic><topic>Comparative studies</topic><topic>Decision making</topic><topic>Economic factors</topic><topic>Fuzzy logic</topic><topic>Geology</topic><topic>Geomorphology</topic><topic>Geospatial data</topic><topic>Global warming</topic><topic>Hierarchies</topic><topic>Sea level</topic><topic>Sea level rise</topic><topic>Shoreline protection</topic><topic>Social factors</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Soil erosion</topic><topic>Sustainability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dwivedi, Chandra Shekhar</creatorcontrib><creatorcontrib>Pampattiwar, Shiva Teja</creatorcontrib><creatorcontrib>Pandey, Arvind Chandra</creatorcontrib><creatorcontrib>Parida, Bikash Ranjan</creatorcontrib><creatorcontrib>Mitra, Debashis</creatorcontrib><creatorcontrib>Kumar, Navneet</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</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>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>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dwivedi, Chandra Shekhar</au><au>Pampattiwar, Shiva Teja</au><au>Pandey, Arvind Chandra</au><au>Parida, Bikash Ranjan</au><au>Mitra, Debashis</au><au>Kumar, Navneet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP</atitle><jtitle>Sustainability</jtitle><date>2023-06-01</date><risdate>2023</risdate><volume>15</volume><issue>12</issue><spage>9543</spage><pages>9543-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The acceleration of coastal processes is manifested in the form of coastal erosion, average sea level rise, drastic changes in coastlines, and more turbulent ocean waters. In this study, the coasts of Kerala and Tamil Nadu, India, were selected to identify the effects of increasing coastal processes. Therefore, it is necessary to identify and map vulnerable areas by taking into account the key parameters, such as topographical and socio-economic factors, to relate to coastal processes. The fuzzy Analytical Hierarchy Process (AHP) method was employed to identify the most vulnerable zones. The key findings revealed that about 14% and 2% of the coast of Tamil Nadu and Kerala, respectively, are classified under the physically highly vulnerable category. Similarly, ~17% and ~30% of coastal Tamil Nadu and Kerala, respectively, are highly socially vulnerable. The overall vulnerability assessment showed that 7–8% of both coastal areas were highly vulnerable. We concluded that the Thiruvallur, Chennai, Kanchipuram, Cuddalore, and Nagapattinam coasts on the east coast and the Malappuram, Thrissur, Ernakulam, Alappuzha, and Kollam coasts on the west coast were very highly vulnerable to coastal processes. Identifying vulnerable zones helps to better understand the impacts of rapid coastal processes and, with this prior estimation, the policymakers can take necessary actions to mitigate the irreversible impacts of coastal processes.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su15129543</doi><orcidid>https://orcid.org/0000-0002-3270-6193</orcidid><orcidid>https://orcid.org/0000-0001-7444-573X</orcidid><orcidid>https://orcid.org/0000-0002-7353-3049</orcidid><orcidid>https://orcid.org/0000-0002-9548-0953</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2023-06, Vol.15 (12), p.9543
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2829884337
source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Beach erosion
Climate change
Coastal erosion
Coastal processes
Coastal zone
Coasts
Comparative analysis
Comparative studies
Decision making
Economic factors
Fuzzy logic
Geology
Geomorphology
Geospatial data
Global warming
Hierarchies
Sea level
Sea level rise
Shoreline protection
Social factors
Socioeconomic factors
Socioeconomics
Soil erosion
Sustainability
title Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T04%3A41%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterization%20of%20the%20Coastal%20Vulnerability%20in%20Different%20Geological%20Settings:%20A%20Comparative%20Study%20on%20Kerala%20and%20Tamil%20Nadu%20Coasts%20Using%20FuzzyAHP&rft.jtitle=Sustainability&rft.au=Dwivedi,%20Chandra%20Shekhar&rft.date=2023-06-01&rft.volume=15&rft.issue=12&rft.spage=9543&rft.pages=9543-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su15129543&rft_dat=%3Cgale_proqu%3EA758354845%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2829884337&rft_id=info:pmid/&rft_galeid=A758354845&rfr_iscdi=true