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An improved database of coastal flooding in the United Kingdom from 1915 to 2016

An improved database of coastal flooding in the United Kingdom from 1915 to 2016
An improved database of coastal flooding in the United Kingdom from 1915 to 2016
Coastal flooding caused by extreme sea levels can produce devastating and wide-ranging consequences. The ‘SurgeWatch’ v1.0 database systematically documents and assesses the consequences of historical coastal flood events around the UK. The original database was inevitably biased due to the inconsistent spatial and temporal coverage of sea-level observations utilised. Therefore, we present an improved version integrating a variety of ‘soft’ data such as journal papers, newspapers, weather reports, and social media. SurgeWatch2.0 identifies 329 coastal flooding events from 1915 to 2016, a more than fivefold increase compared to the 59 events in v1.0. Moreover, each flood event is now ranked using a multi-level categorisation based on inundation, transport disruption, costs, and fatalities: from 1 (Nuisance) to 6 (Disaster). For the 53 most severe events ranked Category 3 and above, an accompanying event description based upon the Source-Pathway-Receptor-Consequence framework was produced. Thus, SurgeWatch v2.0 provides the most comprehensive and coherent historical record of UK coastal flooding. It is designed to be a resource for research, planning, management and education.
Haigh, Ivan D.
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Ozsoy, Ozgun
91cd99b2-5e4a-4e95-b655-94b639d35b3b
Wadey, Matthew P.
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Nicholls, Robert J.
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Gallop, Shari L.
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Wahl, Thomas
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Brown, Jennifer M.
d9a07b0e-dbe5-4dfb-b7e6-681dfd07e131
Haigh, Ivan D.
945ff20a-589c-47b7-b06f-61804367eb2d
Ozsoy, Ozgun
91cd99b2-5e4a-4e95-b655-94b639d35b3b
Wadey, Matthew P.
45dc913a-49bf-47f6-a4ee-973d216e5aac
Nicholls, Robert J.
4ce1e355-cc5d-4702-8124-820932c57076
Gallop, Shari L.
c14133fc-9141-47d9-ae9c-84c2513ea8ad
Wahl, Thomas
6506794a-1f35-4803-b7f7-98702e57e667
Brown, Jennifer M.
d9a07b0e-dbe5-4dfb-b7e6-681dfd07e131

Haigh, Ivan D., Ozsoy, Ozgun, Wadey, Matthew P., Nicholls, Robert J., Gallop, Shari L., Wahl, Thomas and Brown, Jennifer M. (2017) An improved database of coastal flooding in the United Kingdom from 1915 to 2016. Scientific Data, 4, [170100]. (doi:10.1038/sdata.2017.100).

Record type: Article

Abstract

Coastal flooding caused by extreme sea levels can produce devastating and wide-ranging consequences. The ‘SurgeWatch’ v1.0 database systematically documents and assesses the consequences of historical coastal flood events around the UK. The original database was inevitably biased due to the inconsistent spatial and temporal coverage of sea-level observations utilised. Therefore, we present an improved version integrating a variety of ‘soft’ data such as journal papers, newspapers, weather reports, and social media. SurgeWatch2.0 identifies 329 coastal flooding events from 1915 to 2016, a more than fivefold increase compared to the 59 events in v1.0. Moreover, each flood event is now ranked using a multi-level categorisation based on inundation, transport disruption, costs, and fatalities: from 1 (Nuisance) to 6 (Disaster). For the 53 most severe events ranked Category 3 and above, an accompanying event description based upon the Source-Pathway-Receptor-Consequence framework was produced. Thus, SurgeWatch v2.0 provides the most comprehensive and coherent historical record of UK coastal flooding. It is designed to be a resource for research, planning, management and education.

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More information

Accepted/In Press date: 29 June 2017
e-pub ahead of print date: 1 August 2017

Identifiers

Local EPrints ID: 413050
URI: http://eprints.soton.ac.uk/id/eprint/413050
PURE UUID: 30abcb9b-02a9-4b9e-8287-0e86ffdb025e
ORCID for Ivan D. Haigh: ORCID iD orcid.org/0000-0002-9722-3061
ORCID for Robert J. Nicholls: ORCID iD orcid.org/0000-0002-9715-1109

Catalogue record

Date deposited: 14 Aug 2017 16:30
Last modified: 16 Mar 2024 03:51

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Contributors

Author: Ivan D. Haigh ORCID iD
Author: Ozgun Ozsoy
Author: Matthew P. Wadey
Author: Shari L. Gallop
Author: Thomas Wahl
Author: Jennifer M. Brown

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