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| Titel |
Assessment and comparison of extreme sea levels and waves during the 2013/14 storm season in two UK coastal regions |
| VerfasserIn |
M. P. Wadey, J. M. Brown, I. D. Haigh, T. Dolphin, P. Wisse |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 10 ; Nr. 15, no. 10 (2015-10-08), S.2209-2225 |
| Datensatznummer |
250119713
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| Publikation (Nr.) |
 copernicus.org/nhess-15-2209-2015.pdf |
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| Zusammenfassung |
| The extreme sea levels and waves experienced around the UK's coast during
the 2013/14 winter caused extensive coastal flooding and damage. Coastal
managers seek to place such extremes in relation to the anticipated
standards of flood protection, and the long-term recovery of the natural
system. In this context, return periods are often used as a form of
guidance. This paper provides these levels for the winter storms, and
discusses their application to the given data sets for two UK case study
sites: Sefton, northwest England, and Suffolk, east England. Tide gauge
records and wave buoy data were used to compare the 2013/14 storms with
return periods from a national data set, and also joint probabilities of sea
level and wave heights were generated, incorporating the recent events. The
2013/14 high waters and waves were extreme due to the number of events, as
well as the extremity of the 5 December 2013 "Xaver" storm, which had a high
return period at both case study sites. The national-scale impact of this
event was due to its coincidence with spring high tide at multiple
locations. Given that this event is such an outlier in the joint probability
analyses of these observed data sets, and that the season saw several events
in close succession, coastal defences appear to have provided a good level
of protection. This type of assessment could in the future be recorded
alongside defence performance and upgrade. Ideally other variables (e.g.
river levels at estuarine locations) would also be included, and with
appropriate offsetting for local trends (e.g. mean sea-level rise) so that
the storm-driven component of coastal flood events can be determined. This
could allow long-term comparison of storm severity, and an assessment of how
sea-level rise influences return levels over time, which is important for
consideration of coastal resilience in strategic management plans. |
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