University of Sussex
Browse

File(s) not publicly available

A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise

journal contribution
posted on 2023-06-08, 11:06 authored by Athanasios T Vafeidis, Robert J Nicholls, Loraine McFadden, Richard TolRichard Tol, Jochen Hinkel, Tom Spencer, Poul S Grashof, Gerben Boot, Richard J T Klein
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.

History

Publication status

  • Published

Journal

Journal of Coastal Research

ISSN

0749-0208

Publisher

Coastal Education and Research Foundation

Issue

4

Volume

24

Page range

917-924

Department affiliated with

  • Economics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-04-17

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC