A new global database for assessing the vulnerability of coastal zones to sea-level rise
A new global database for assessing the vulnerability of coastal zones to sea-level rise
A new global coastal database has been developed within the context of the DINAS-COAST project. The database covers the world's coasts, excluding Antarctica, and includes information on more than 80 physical, ecological, and socioeconomic parameters of the coastal zone. The database provides the base data for the Dynamic Interactive Vulnerability Assessment modelling tool that the DINAS-COAST project has produced. In order to comply with the requirements of the modelling tool, it is based on a data model in which all information is referenced to more than 12,000 linear coastal segments of variable length. For efficiency of data storage, six other geographic features (administrative units, countries, rivers, tidal basins or estuaries, world heritage sites, and climate grid cells) are used to reference some data, but all are linked to the linear segment structure. This fundamental linear data structure is unique for a global database and represents an efficient solution to the problem of representing and storing coastal data. The database has been specifically designed to support impact and vulnerability analysis to sea-level rise at a range of scales up to global. Due to the structure, consistency, user-friendliness, and wealth of information in the database, it has potential wider application to analysis and modelling of the world's coasts, especially at regional to global scales.
segmentation, coastal geographic information system, gis, data model, climate change, global change
917-924
Vafeidis, Athanasios T.
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Nicholls, Robert J.
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McFadden, Loraine
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Tol, Richard S.J.
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Hinkel, Jochen
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Spencer, Tom
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Grashoff, Poul S.
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Boot, Gerben
595f0b67-ad9e-49a0-bc6c-730c54662f10
Klein, Richard J.T.
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July 2008
Vafeidis, Athanasios T.
4b11a988-6eb8-4732-bc1b-aa67a2862ea4
Nicholls, Robert J.
4ce1e355-cc5d-4702-8124-820932c57076
McFadden, Loraine
df59fa05-8cee-4480-a7a3-fc2663ad11e8
Tol, Richard S.J.
4d0b78ab-9cc1-43cf-a519-607f6aaf9206
Hinkel, Jochen
9c7e8026-955c-42cd-9179-6113efbf1339
Spencer, Tom
f40d1e52-ecd9-41d5-bc65-cb36462e229b
Grashoff, Poul S.
f9d3c9ed-a7f7-4a41-baa9-9d131b507cdc
Boot, Gerben
595f0b67-ad9e-49a0-bc6c-730c54662f10
Klein, Richard J.T.
f25e6d7a-dccc-494e-b458-9557b22f3f5e
Vafeidis, Athanasios T., Nicholls, Robert J., McFadden, Loraine, Tol, Richard S.J., Hinkel, Jochen, Spencer, Tom, Grashoff, Poul S., Boot, Gerben and Klein, Richard J.T.
(2008)
A new global database for assessing the vulnerability of coastal zones to sea-level rise.
Journal of Coastal Research, .
Abstract
A new global coastal database has been developed within the context of the DINAS-COAST project. The database covers the world's coasts, excluding Antarctica, and includes information on more than 80 physical, ecological, and socioeconomic parameters of the coastal zone. The database provides the base data for the Dynamic Interactive Vulnerability Assessment modelling tool that the DINAS-COAST project has produced. In order to comply with the requirements of the modelling tool, it is based on a data model in which all information is referenced to more than 12,000 linear coastal segments of variable length. For efficiency of data storage, six other geographic features (administrative units, countries, rivers, tidal basins or estuaries, world heritage sites, and climate grid cells) are used to reference some data, but all are linked to the linear segment structure. This fundamental linear data structure is unique for a global database and represents an efficient solution to the problem of representing and storing coastal data. The database has been specifically designed to support impact and vulnerability analysis to sea-level rise at a range of scales up to global. Due to the structure, consistency, user-friendliness, and wealth of information in the database, it has potential wider application to analysis and modelling of the world's coasts, especially at regional to global scales.
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More information
Published date: July 2008
Keywords:
segmentation, coastal geographic information system, gis, data model, climate change, global change
Identifiers
Local EPrints ID: 75894
URI: http://eprints.soton.ac.uk/id/eprint/75894
ISSN: 0749-0208
PURE UUID: ef51d201-afbf-4b06-8944-5a86f7d4be3d
Catalogue record
Date deposited: 11 Mar 2010
Last modified: 23 Jul 2022 01:52
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Contributors
Author:
Athanasios T. Vafeidis
Author:
Loraine McFadden
Author:
Richard S.J. Tol
Author:
Jochen Hinkel
Author:
Tom Spencer
Author:
Poul S. Grashoff
Author:
Gerben Boot
Author:
Richard J.T. Klein
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