KRISHI
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/41947
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | S. Thirumurthy | en_US |
dc.contributor.author | M. Jayanthi | en_US |
dc.contributor.author | M. Samynathan | en_US |
dc.contributor.author | M. Duraisamy | en_US |
dc.contributor.author | G. Nagaraj | en_US |
dc.contributor.author | N. Anbazhahan | en_US |
dc.date.accessioned | 2020-10-17T06:57:39Z | - |
dc.date.available | 2020-10-17T06:57:39Z | - |
dc.date.issued | 2020-07-24 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/41947 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Climate change induced coastline changes and rising sea levels are likely to create vulnerable impacts on ecosystems, infrastructure, and associated populations the world over. The assessment of long term coastline changes in the past, coupled with the expected changes due to rising sea levels in the future, would aid in comprehending the response of the coastal processes to climate change so as to develop management measures. The coastline variations were delineated by multi dated Landsat satellite images of 45 years using spatial analysis and Digital Shoreline Analysis System. Submergence due to projected sea-level elevation of 50 cm and 100 cm was assessed using Shuttle Radar Topography Mission topographical data using geospatial techniques. The results revealed that the major shore is in the process of erosion at varying rates as well as periods. The highest mean erosion was observed at −6.76 m/yr in 89% of the coast between 1973 and 1988. The mean weighted linear regression rate of shoreline change was −2.39 + 7.05 m /yr from 1973 to 2018, the erosion being 83%. Besides, the sea level rise of 0.6 cm/year is expected to submerge 6983 ha of coastal resources, which includes mangroves, agriculture land, salt pans, and aquaculture farms from 82 villages in 2100. The expected inundation is likely to displace 20% of the human population in the region, including about 50,000 fishers. Government policies need to be developed in a people participatory and transparent mode to protect resources as well as livelihoods of the coastal communities. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Vulnerable regions | en_US |
dc.subject | Geospatial | en_US |
dc.subject | Coastline change | en_US |
dc.subject | Fishers | en_US |
dc.subject | Sea-level increase | en_US |
dc.subject | Digital shoreline analysis system (DSAS) | en_US |
dc.title | Land and human resources vulnerability to the impact of climate change in ecologically important coastal regions | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Journal of Coastal Conservation | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | 10.1007/s11852-020-00766-4 | en_US |
dc.publication.authorAffiliation | ICAR::Central Institute of Brackishwater Aquaculture | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 7.37 | en_US |
Appears in Collections: | FS-CIBA-Publication |
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