A user-friendly database of coastal flooding in the United Kingdom from 1915–2014

Haigh, Ivan D.; Wadey, Matthew P.; Gallop, Shari L.; Loehr, Heiko; Nicholls, Robert J.; Horsburgh, Kevin; Brown, Jennifer M.; Bradshaw, Elizabeth

doi:10.1038/sdata.2015.21

Cited by 59 publications

(65 citation statements)

References 35 publications

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“…The recorded occurrence of storm surge events was validated against the SurgeWatch database, which provides a record of UK coastal flooding events since 1915 (Haigh et al 2015).…”

Section: Storm Surge(s); Flooding/flood(s); Coastal; Sea Defences/ Wamentioning

confidence: 99%

A systematic assessment of maritime disruptions affecting UK ports, coastal areas and surrounding seas from 1950 to 2014

et al. 2016

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AcknowledgementsEA is grateful for the receipt of a Southampton Marine and Maritime Institution (SMMI) and the University of Southampton's Faculty of Engineering and the Environment (FEE) funded studentship during the course of this research. SB was funded by the European Commission's Seventh Framework Programme's collaborative project RISES-AM-(contract FP7-ENV-2013-two-stage-603396). AbstractMaritime disruptions can have severe negative implications. This study analysed maritime disruptions in UK ports, coastal areas and surrounding seas from 1950 to 2014, systematically assessing their scale, duration, extent and consequences. Disruptions are a single or sequence of hazardous events that negatively affect 'business as usual' conditions, ranging from minor to major disruption and even loss of life. To express this range a severity scale was developed and applied. A database of maritime disruptions and their severities was constructed using data archaeology, identifying 88 events, primarily caused by wind storms (36%), human error (23%), mechanical faults (14%) and storm surges (12%). All events other than human error or mechanical faults occurred between October and March (typically associated with autumn/winter storms and depressions), with 65% recorded between November and January. Maritime disruptions from weather events tended to have regional/national impacts; whereas human error or mechanical faults were usually locally severe. Since 2000 ports demonstrated more frequent disruption to wind storms due to mechanisation, increased delay and closure reporting, and refined health and safety regulations. Most frequently affected were the sea areas Fair Isle and Dover, and the Felixstowe and Dover ports. Through time, primary impacts shifted from extensive flooding and structural damage to financial impacts and disruption; associated with adaptation including implementation/upgrading of coastal defences, storm warning systems and legislation. Port and governmental bodies responded adaptively (e.g. Thames Barrier construction and development of automatic tracking systems). The UK's maritime disruption vulnerability has altered significantly since 1950 and continues to evolve.

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“…The recorded occurrence of storm surge events was validated against the SurgeWatch database, which provides a record of UK coastal flooding events since 1915 (Haigh et al 2015).…”

Section: Storm Surge(s); Flooding/flood(s); Coastal; Sea Defences/ Wamentioning

confidence: 99%

A systematic assessment of maritime disruptions affecting UK ports, coastal areas and surrounding seas from 1950 to 2014

et al. 2016

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“…These events bought the challenges of emergency response and management into sharp focus and served as a reminder of the vulnerability of coastal communities to flooding. There have been numerous significant historical coastal flood events that have been observed over the past century or more [1]. These events vary in terms of the spatial areas affected and there is a general trend that indicates a significant spatial correlation with increasing severity of event at any one location.…”

Section: Introductionmentioning

confidence: 99%

“…The associated season and directional variables are then used to apply the seasonal and directional trends by reversing the de-trending process using the same smoothed mean and standard deviation. The wave height and steepness are used to calculate the wave period by inverting Equation 1.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Spatial analysis and simulation of extreme coastal flooding scenarios for national-scale emergency planning

et al. 2016

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Abstract. The UK has a long history of coastal flooding, driven by large-scale low-pressure weather systems which can result in flooding over large spatial areas. Traditional coastal flood risk analysis is, however, often undertaken at local scales and hence does not consider the likelihood of simultaneous flooding over larger areas. The flooding within the UK over the Winter of 2013/2014 was notable both for its long duration, lasting over two months, and its spatial extent, affecting many different areas of England and Wales. It is thus apparent that to plan and prepare for these types of extreme event it is necessary to consider the likelihood of flood events arising at different locations simultaneously (i.e. to consider the spatial dependence of extreme flood events). This paper describes the application of a state-of-the-art multivariate extreme value methodology to extreme sea levels and wave conditions around the coast of England and Wales. The output of the analysis comprises a synthetic set of extreme but plausible events that explicitly captures the dependence between sea conditions at different spatial locations around the coast. These simulated extreme events can be used for emergency management and advanced flood risk analysis.

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“…The UK has a long history of coastal flooding (Haigh et al, 2015). The winter of 2013/2014 further highlighted the threat to the UK posed by coastal flooding.…”

Section: Introductionmentioning

confidence: 99%

Multivariate extreme value modelling of sea conditions around the coast of England

Gouldby

Wyncoll

Panzeri

et al. 2017

Proceedings of the Institution of Civil Engineers - Maritime En

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It is widely recognised that coastal flood events can arise from combinations of extreme waves and sea levels. For flood risk analysis and the design of coastal structures it is therefore necessary to assess the joint probability of the occurrence of these variables. Traditional methods have involved the application of joint probability contours, defined in terms of extremes of sea conditions that can, if applied without correction factors, lead to the underestimation of flood risk and under-design of coastal structures. This paper describes the application of a robust multivariate statistical model to analyse extreme offshore waves, wind and sea levels around the coast of England. The approach described here is risk based in that it seeks to define extremes of response variables directly, rather than the joint extremes of sea conditions. The output of the statistical model comprises a Monte Carlo simulation of extreme events. These distributions of extreme events have been transformed from offshore to nearshore using a statistical emulator of a wave transformation model. The resulting nearshore extreme sea condition distributions have the potential to be applied for a range of purposes. The application is demonstrated using two structures located on the south coast of England. Notation

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A user-friendly database of coastal flooding in the United Kingdom from 1915–2014

Cited by 59 publications

References 35 publications

A systematic assessment of maritime disruptions affecting UK ports, coastal areas and surrounding seas from 1950 to 2014

A systematic assessment of maritime disruptions affecting UK ports, coastal areas and surrounding seas from 1950 to 2014

Spatial analysis and simulation of extreme coastal flooding scenarios for national-scale emergency planning

Multivariate extreme value modelling of sea conditions around the coast of England

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