Coastal Flooding in the Solent: An Integrated Analysis of Defences and Inundation

Wadey, Matthew P.; Nicholls, Robert J.; Hutton, Craig W.

doi:10.3390/w4020430

Cited by 55 publications

(71 citation statements)

References 47 publications

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“…A detailed digital elevation model of the floodplain was developed by Wadey et al (2012). Sea level data are available for the study area for 1960 to 2008 .…”

Section: Outline and Data Setsmentioning

confidence: 99%

“…LISFLOOD FP is an inertial formulation of the shallow water equations (Bates et al, 2010). It has been used to simulate coastal flood events (Smith et al, 2012;Quinn et al, 2014), including within the Solent (Wadey et al, 2012) where the model has been validated (Wadey et al, 2013). Floodplain flows are treated using a "storage cell" approach and implemented for a raster grid to allow an approximation to a two-dimensional (2-D) movement of the flood wave.…”

Section: Floodplain Extent Modelmentioning

confidence: 99%

“…To determine the floodplain extent, we used a combined hydraulic model (LISFLOOD FP) (Bates et al, 2010) and digital elevation model (DEM) (Wadey et al, 2012) for a range of flood simulations by return period assuming no sea defences. LISFLOOD FP is an inertial formulation of the shallow water equations (Bates et al, 2010).…”

Section: Floodplain Extent Modelmentioning

confidence: 99%

“…extreme sea levels (Haigh et al, 2010;Batstone Wadey et al, 2012) et al, 2013) and waves (Wolf et al, 2011;Chini and Stansby, 2012)) or pathways (e.g. simulations of defence failure and inundation via event-based approaches (Wadey et al, 2012(Wadey et al, , 2013 and flood risk assessment (Gouldby et al, 2008;Dawson et al, 2009)). These studies can include the effects of anticipated sea level rise (SLR) which changes the probability of extreme events (Church et al, 2013;Wahl et al, 2013;Haigh et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Methods to assess exposure to coastal floods have focused on understanding the sources (e.g. extreme sea levels (Haigh et al, 2010;Batstone Wadey et al, 2012) et al, 2013) and waves (Wolf et al, 2011;Chini and Stansby, 2012)) or pathways (e.g. simulations of defence failure and inundation via event-based approaches (Wadey et al, 2012(Wadey et al, , 2013 and flood risk assessment (Gouldby et al, 2008;Dawson et al, 2009)).…”

Section: Introductionmentioning

confidence: 99%

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Estimating the long-term historic evolution of exposure to flooding of coastal populations

Stevens

Clarke

Nicholls

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. Coastal managers face the task of assessing and managing flood risk. This requires knowledge of the area of land, the number of people, properties and other infrastructure potentially affected by floods. Such analyses are usually static; i.e. they only consider a snapshot of the current situation. This misses the opportunity to learn about the role of key drivers of historical changes in flood risk, such as development and population rise in the coastal flood plain, as well as sea-level rise.In this paper, we develop and apply a method to analyse the temporal evolution of residential population exposure to coastal flooding. It uses readily available data in a GIS environment. We examine how population and sea-level change have modified exposure over two centuries in two neighbouring coastal sites: Portsea and Hayling Islands on the UK south coast. The analysis shows that flood exposure changes as a result of increases in population, changes in coastal population density and sea level rise. The results indicate that to date, population change is the dominant driver of the increase in exposure to flooding in the study sites, but climate change may outweigh this in the future. A full analysis of changing flood risk is not possible as data on historic defences and wider vulnerability are not available. Hence, the historic evolution of flood exposure is as close as we can get to a historic evolution of flood risk.The method is applicable anywhere that suitable floodplain geometry, sea level and population data sets are available and could be widely applied, and will help inform coastal managers of the time evolution in coastal flood drivers.

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“…A detailed digital elevation model of the floodplain was developed by Wadey et al (2012). Sea level data are available for the study area for 1960 to 2008 .…”

Section: Outline and Data Setsmentioning

confidence: 99%

Section: Floodplain Extent Modelmentioning

confidence: 99%

Section: Floodplain Extent Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimating the long-term historic evolution of exposure to flooding of coastal populations

Stevens

Clarke

Nicholls

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Assessing the temporal variability in extreme storm‐tide time series for coastal flood risk assessment

et al. 2014

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The probability of extreme storm-tide events has been extensively studied; however, the variability within the duration of such events and implications to flood risk is less well understood. This research quantifies such variability during extreme storm-tide events (the combined elevation of the tide, surge, and their interactions) at 44 national tide gauges around the UK. Extreme storm-tide events were sampled from water level measurements taken every 15 min between 1993 and 2012. At each site, the variability in elevation at each time step, relative to a given event peak, was quantified. The magnitude of this time series variability was influenced both by gauge location (and hence the tidal and nontidal residual characteristics) and the time relative to high water. The potential influence of this variability on coastal inundation was assessed across all UK gauge sites, followed by a detailed case study of Portsmouth. A two-dimensional hydrodynamic model of the Portsmouth region was used to demonstrate that given a current 1 in 200 year stormtide event, the predicted number of buildings inundated differed by more than 30% when contrasting simulations forced with the upper and lower bounds of the observed time series variability. The results indicate that variability in the time series of the storm-tide event can have considerable influence upon overflow volumes, hence with implications for coastal flood risk assessments. Therefore, further evaluating and representing this uncertainty in future flood risk assessments is vital, while the envelopes of variability defined in this research provides a valuable tool for coastal flood modelers.

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Coping with Coastal Change

Nicholls

Stive

Tol

2015

Coastal Environments and Global Change

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Coastal Flooding in the Solent: An Integrated Analysis of Defences and Inundation

Cited by 55 publications

References 47 publications

Estimating the long-term historic evolution of exposure to flooding of coastal populations

Estimating the long-term historic evolution of exposure to flooding of coastal populations

Assessing the temporal variability in extreme storm‐tide time series for coastal flood risk assessment

Coping with Coastal Change

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