Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India
Climate change-induced marine hazards are increasingly threatening coastal zones, with a two-fold increase in the last decade. In this study, we assessed coastal vulnerability using the multi-criteria decision making (MCDM) method in conjunction with geospatial applications. Data on five physical va...
Gespeichert in:
Veröffentlicht in: | Journal of coastal conservation 2022-06, Vol.26 (3), Article 16 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 3 |
container_start_page | |
container_title | Journal of coastal conservation |
container_volume | 26 |
creator | Naga Kumar, K. Ch. V. Deepak, P. M. Basheer Ahammed, K. K. Rao, Kakani Nageswara Gopinath, Girish Dinesan, V. P. |
description | Climate change-induced marine hazards are increasingly threatening coastal zones, with a two-fold increase in the last decade. In this study, we assessed coastal vulnerability using the multi-criteria decision making (MCDM) method in conjunction with geospatial applications. Data on five physical variables: geomorphology, coastal slope, shoreline change history, spring tide range and significant wave height were extracted from the optical and microwave remote sensing images, existing maps and GIS processing for the 78-km-long coastal zone of Kozhikode district, which was taken as a case study. Weighted analysis of these variables and their subunits was performed using the analytical hierarchical method. These data were then processed to calculate the coastal vulnerability index (CVI), which ranged between 0.06 and 0.44 for the study area with higher CVI values indicating higher risk of hazards. The coastal risk analysis made using the geometric interval classification of the entire range of CVI values indicated that more than a third of the Kozhikode coast is under high risk to coastal hazards. Our study demonstrated the importance of integrating geospatial and MCDM analysis for a robust coastal vulnerability assessment in determining the hazard proneness of different coastal segments. |
doi_str_mv | 10.1007/s11852-022-00862-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2654886798</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2654886798</sourcerecordid><originalsourceid>FETCH-LOGICAL-c249t-969960ac04a8451d8db1aeeae34951c899b220e3054a6c0a9ab8461b8d50f3433</originalsourceid><addsrcrecordid>eNp9kUFuFDEQRVsIJELgAqwssU2D7ba77SWaQIiSiAWwtqrdNTNOOvbgckcaVtyBe3AoToKHQWLHolS1eP_Xl37TvBT8teB8eENCGC1bLutw08t2eNScCDOodjBKPK634rzlneZPm2dEt5xLbXR30vxcJaACM3tY5ogZxjCHsmdAhET3GAtbKMQNu8BEOyihkgX9NqY5bQISgzgxYDfLXEK7yqFgDsDO0QcKKbIbuDuIYbfLCfyW_fr-o9IeCBmVZdqztGZX6ds23KUJ2XmgkoMvzB8ynbGrmmcG9qlAwTN2GacAz5sna5gJX_zdp82X9-8-rz601x8vLldvr1svlS2t7a3tOXiuwCgtJjONAhABO2W18MbaUUqOHdcKes_BwmhUL0Yzab7uVNedNq-OvjX41wWpuNu05FhfOtlrZUw_WFMpeaR8TkQZ126Xwz3kvRPcHXpxx15c7cX96cUNVdQdRVThuMH8z_o_qt_FI5Pl</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2654886798</pqid></control><display><type>article</type><title>Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India</title><source>SpringerNature Journals</source><creator>Naga Kumar, K. Ch. V. ; Deepak, P. M. ; Basheer Ahammed, K. K. ; Rao, Kakani Nageswara ; Gopinath, Girish ; Dinesan, V. P.</creator><creatorcontrib>Naga Kumar, K. Ch. V. ; Deepak, P. M. ; Basheer Ahammed, K. K. ; Rao, Kakani Nageswara ; Gopinath, Girish ; Dinesan, V. P.</creatorcontrib><description>Climate change-induced marine hazards are increasingly threatening coastal zones, with a two-fold increase in the last decade. In this study, we assessed coastal vulnerability using the multi-criteria decision making (MCDM) method in conjunction with geospatial applications. Data on five physical variables: geomorphology, coastal slope, shoreline change history, spring tide range and significant wave height were extracted from the optical and microwave remote sensing images, existing maps and GIS processing for the 78-km-long coastal zone of Kozhikode district, which was taken as a case study. Weighted analysis of these variables and their subunits was performed using the analytical hierarchical method. These data were then processed to calculate the coastal vulnerability index (CVI), which ranged between 0.06 and 0.44 for the study area with higher CVI values indicating higher risk of hazards. The coastal risk analysis made using the geometric interval classification of the entire range of CVI values indicated that more than a third of the Kozhikode coast is under high risk to coastal hazards. Our study demonstrated the importance of integrating geospatial and MCDM analysis for a robust coastal vulnerability assessment in determining the hazard proneness of different coastal segments.</description><identifier>ISSN: 1400-0350</identifier><identifier>EISSN: 1874-7841</identifier><identifier>DOI: 10.1007/s11852-022-00862-7</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Analysis ; Beach slope ; Case studies ; Climate change ; Coastal erosion ; Coastal hazards ; Coastal Sciences ; Coastal zone ; Coastal zones ; Coasts ; Decision making ; Earth and Environmental Science ; Geographical information systems ; Geography ; Geomorphology ; Hazards ; Multiple criteria decision making ; Multiple criterion ; Nature Conservation ; Oceanography ; Remote sensing ; Remote Sensing/Photogrammetry ; Risk analysis ; Shorelines ; Significant wave height ; Spring tides ; Vulnerability ; Wave height</subject><ispartof>Journal of coastal conservation, 2022-06, Vol.26 (3), Article 16</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-969960ac04a8451d8db1aeeae34951c899b220e3054a6c0a9ab8461b8d50f3433</citedby><cites>FETCH-LOGICAL-c249t-969960ac04a8451d8db1aeeae34951c899b220e3054a6c0a9ab8461b8d50f3433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11852-022-00862-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11852-022-00862-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids></links><search><creatorcontrib>Naga Kumar, K. Ch. V.</creatorcontrib><creatorcontrib>Deepak, P. M.</creatorcontrib><creatorcontrib>Basheer Ahammed, K. K.</creatorcontrib><creatorcontrib>Rao, Kakani Nageswara</creatorcontrib><creatorcontrib>Gopinath, Girish</creatorcontrib><creatorcontrib>Dinesan, V. P.</creatorcontrib><title>Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India</title><title>Journal of coastal conservation</title><addtitle>J Coast Conserv</addtitle><description>Climate change-induced marine hazards are increasingly threatening coastal zones, with a two-fold increase in the last decade. In this study, we assessed coastal vulnerability using the multi-criteria decision making (MCDM) method in conjunction with geospatial applications. Data on five physical variables: geomorphology, coastal slope, shoreline change history, spring tide range and significant wave height were extracted from the optical and microwave remote sensing images, existing maps and GIS processing for the 78-km-long coastal zone of Kozhikode district, which was taken as a case study. Weighted analysis of these variables and their subunits was performed using the analytical hierarchical method. These data were then processed to calculate the coastal vulnerability index (CVI), which ranged between 0.06 and 0.44 for the study area with higher CVI values indicating higher risk of hazards. The coastal risk analysis made using the geometric interval classification of the entire range of CVI values indicated that more than a third of the Kozhikode coast is under high risk to coastal hazards. Our study demonstrated the importance of integrating geospatial and MCDM analysis for a robust coastal vulnerability assessment in determining the hazard proneness of different coastal segments.</description><subject>Analysis</subject><subject>Beach slope</subject><subject>Case studies</subject><subject>Climate change</subject><subject>Coastal erosion</subject><subject>Coastal hazards</subject><subject>Coastal Sciences</subject><subject>Coastal zone</subject><subject>Coastal zones</subject><subject>Coasts</subject><subject>Decision making</subject><subject>Earth and Environmental Science</subject><subject>Geographical information systems</subject><subject>Geography</subject><subject>Geomorphology</subject><subject>Hazards</subject><subject>Multiple criteria decision making</subject><subject>Multiple criterion</subject><subject>Nature Conservation</subject><subject>Oceanography</subject><subject>Remote sensing</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Risk analysis</subject><subject>Shorelines</subject><subject>Significant wave height</subject><subject>Spring tides</subject><subject>Vulnerability</subject><subject>Wave height</subject><issn>1400-0350</issn><issn>1874-7841</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUFuFDEQRVsIJELgAqwssU2D7ba77SWaQIiSiAWwtqrdNTNOOvbgckcaVtyBe3AoToKHQWLHolS1eP_Xl37TvBT8teB8eENCGC1bLutw08t2eNScCDOodjBKPK634rzlneZPm2dEt5xLbXR30vxcJaACM3tY5ogZxjCHsmdAhET3GAtbKMQNu8BEOyihkgX9NqY5bQISgzgxYDfLXEK7yqFgDsDO0QcKKbIbuDuIYbfLCfyW_fr-o9IeCBmVZdqztGZX6ds23KUJ2XmgkoMvzB8ynbGrmmcG9qlAwTN2GacAz5sna5gJX_zdp82X9-8-rz601x8vLldvr1svlS2t7a3tOXiuwCgtJjONAhABO2W18MbaUUqOHdcKes_BwmhUL0Yzab7uVNedNq-OvjX41wWpuNu05FhfOtlrZUw_WFMpeaR8TkQZ126Xwz3kvRPcHXpxx15c7cX96cUNVdQdRVThuMH8z_o_qt_FI5Pl</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Naga Kumar, K. Ch. V.</creator><creator>Deepak, P. M.</creator><creator>Basheer Ahammed, K. K.</creator><creator>Rao, Kakani Nageswara</creator><creator>Gopinath, Girish</creator><creator>Dinesan, V. P.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7TN</scope><scope>7U6</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20220601</creationdate><title>Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India</title><author>Naga Kumar, K. Ch. V. ; Deepak, P. M. ; Basheer Ahammed, K. K. ; Rao, Kakani Nageswara ; Gopinath, Girish ; Dinesan, V. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-969960ac04a8451d8db1aeeae34951c899b220e3054a6c0a9ab8461b8d50f3433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Beach slope</topic><topic>Case studies</topic><topic>Climate change</topic><topic>Coastal erosion</topic><topic>Coastal hazards</topic><topic>Coastal Sciences</topic><topic>Coastal zone</topic><topic>Coastal zones</topic><topic>Coasts</topic><topic>Decision making</topic><topic>Earth and Environmental Science</topic><topic>Geographical information systems</topic><topic>Geography</topic><topic>Geomorphology</topic><topic>Hazards</topic><topic>Multiple criteria decision making</topic><topic>Multiple criterion</topic><topic>Nature Conservation</topic><topic>Oceanography</topic><topic>Remote sensing</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Risk analysis</topic><topic>Shorelines</topic><topic>Significant wave height</topic><topic>Spring tides</topic><topic>Vulnerability</topic><topic>Wave height</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Naga Kumar, K. Ch. V.</creatorcontrib><creatorcontrib>Deepak, P. M.</creatorcontrib><creatorcontrib>Basheer Ahammed, K. K.</creatorcontrib><creatorcontrib>Rao, Kakani Nageswara</creatorcontrib><creatorcontrib>Gopinath, Girish</creatorcontrib><creatorcontrib>Dinesan, V. P.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Journal of coastal conservation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Naga Kumar, K. Ch. V.</au><au>Deepak, P. M.</au><au>Basheer Ahammed, K. K.</au><au>Rao, Kakani Nageswara</au><au>Gopinath, Girish</au><au>Dinesan, V. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India</atitle><jtitle>Journal of coastal conservation</jtitle><stitle>J Coast Conserv</stitle><date>2022-06-01</date><risdate>2022</risdate><volume>26</volume><issue>3</issue><artnum>16</artnum><issn>1400-0350</issn><eissn>1874-7841</eissn><abstract>Climate change-induced marine hazards are increasingly threatening coastal zones, with a two-fold increase in the last decade. In this study, we assessed coastal vulnerability using the multi-criteria decision making (MCDM) method in conjunction with geospatial applications. Data on five physical variables: geomorphology, coastal slope, shoreline change history, spring tide range and significant wave height were extracted from the optical and microwave remote sensing images, existing maps and GIS processing for the 78-km-long coastal zone of Kozhikode district, which was taken as a case study. Weighted analysis of these variables and their subunits was performed using the analytical hierarchical method. These data were then processed to calculate the coastal vulnerability index (CVI), which ranged between 0.06 and 0.44 for the study area with higher CVI values indicating higher risk of hazards. The coastal risk analysis made using the geometric interval classification of the entire range of CVI values indicated that more than a third of the Kozhikode coast is under high risk to coastal hazards. Our study demonstrated the importance of integrating geospatial and MCDM analysis for a robust coastal vulnerability assessment in determining the hazard proneness of different coastal segments.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11852-022-00862-7</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1400-0350 |
ispartof | Journal of coastal conservation, 2022-06, Vol.26 (3), Article 16 |
issn | 1400-0350 1874-7841 |
language | eng |
recordid | cdi_proquest_journals_2654886798 |
source | SpringerNature Journals |
subjects | Analysis Beach slope Case studies Climate change Coastal erosion Coastal hazards Coastal Sciences Coastal zone Coastal zones Coasts Decision making Earth and Environmental Science Geographical information systems Geography Geomorphology Hazards Multiple criteria decision making Multiple criterion Nature Conservation Oceanography Remote sensing Remote Sensing/Photogrammetry Risk analysis Shorelines Significant wave height Spring tides Vulnerability Wave height |
title | Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T04%3A49%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Coastal%20vulnerability%20assessment%20using%20Geospatial%20technologies%20and%20a%20Multi-Criteria%20Decision%20Making%20approach%20%E2%80%93%20a%20case%20study%20of%20Kozhikode%20District%20coast,%20Kerala%20State,%20India&rft.jtitle=Journal%20of%20coastal%20conservation&rft.au=Naga%20Kumar,%20K.%20Ch.%20V.&rft.date=2022-06-01&rft.volume=26&rft.issue=3&rft.artnum=16&rft.issn=1400-0350&rft.eissn=1874-7841&rft_id=info:doi/10.1007/s11852-022-00862-7&rft_dat=%3Cproquest_cross%3E2654886798%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2654886798&rft_id=info:pmid/&rfr_iscdi=true |