Coupled wave action and shallow-water modelling for random wave runup on a slope

McCabe, Maurice; Stansby, Peter; Apsley, David

doi:10.1080/00221686.2011.566253

Cited by 12 publications

(7 citation statements)

References 18 publications

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“…This uncertainty occurs due to the fact that from every energy spectrum an infinite number of different waves sequences can be generated, simply by changing the initial seeding of the random phase distribution. Evidence that this plays an important role in the variability of results of numerical models was first given in studies by [23] for the prediction of run-up and [24] for overtopping which used a limited number of tests and waves, but showed that the parameters of overtopping can vary significantly with the seeding used. Subsequent work, using numerical models, by [25,26] carried out an extensive Monte Carlo analysis, and concluded that higher uncertainty was observed in both the overtopping discharge and the individual overtopping volumes when the probability of overtopping was less than 5%, with uncertainty decreasing as overtopping increased.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Wave Overtopping: A New Small Scale Laboratory Dataset for the Assessment of Uncertainty for Smooth Sloped and Vertical Coastal Structures

Williams

Briganti

Romano

et al. 2019

JMSE

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Most physical model tests carried out to quantify wave overtopping are conducted using a wave energy spectrum, which is then used to generate a free surface wave time series at the wave paddle. This method means that an infinite number of time series can be generated, but, due to the expense of running physical models, often only a single time series is considered. The aim of this work is to investigate the variation in the main overtopping measures when multiple wave times series generated from the same spectrum are used. Physical model tests in a flume measuring 15 m (length) by 0.23 m (width) with an operating depth up to 0.22 m were carried out using a stochastic approach on two types of structures (a smooth slope and a vertical wall), and a variety of wave conditions. Results show variation of overtopping discharge, computed by normalising the range of the discharges at a certain wave condition with the maximum value of the discharge in the range up to 10%, when the same wave time series is used, but this range increases to 75% when different time series are used. This variation is found to be of a similar magnitude to both the one found with similar experiments looking at the phenomena in numerical models, and that specified by the confidence bounds in empirical methods.

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Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Wave Overtopping: A New Small Scale Laboratory Dataset for the Assessment of Uncertainty for Smooth Sloped and Vertical Coastal Structures

Williams

Briganti

Romano

et al. 2019

JMSE

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“…To determine possible flooding from a swell wave event with additional sea‐level rise, a series of discrete scenarios were analysed using the following methodology (further details are in the Appendix): A one‐dimensional Shallow‐water and Boussinesq (SWAB) numerical model (McCabe et al, ; McCabe, Stansby, & Apsley, ; Stansby et al, ) was used to simulate the propagation of nearshore waves and overtopping volumes under extreme conditions for 2 hr, which allowed the modelled sea to produced peak overtopping conditions. Tides were subsequently included into the model simulations.…”

Section: Methodsmentioning

confidence: 99%

Land raising as a solution to sea‐level rise: An analysis of coastal flooding on an artificial island in the Maldives

Brown

Wadey

Nicholls

et al. 2019

J Flood Risk Management

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The Maldives (land elevation approximately 1 m above mean sea level) is often associated with the threat of rising sea levels. Land scarcity due to population pressure is also a major issue. In the late 1990s a new 1.9km 2 1.8 m high artificial island, Hulhumalé was created for urban expansion, including an allowance for sea-level rise. This paper assesses flood exposure through an extreme water level scenario on Hulhumalé taking into account sea-level rise and analyses potential adaptation options to extend island life. Results indicate that overtopping is likely to occur with 0.6 ± 0.2 m of sea-level rise, with more severe, widespread flooding with 0.9 ± 0.2 m of sea-level rise. If the Paris Agreement goals are met, flooding is not anticipated this century. However, under a non-mitigation scenario, flooding could occur by the 2090s. Building seawalls 0.5, 1.0, and 1.5 m high could delay flooding for 0.2, 0.4, and 0.6 m of sea-level rise, respectively. Land raising has been successful in Hulhumalé in reducing flood risk simultaneous to addressing development needs. Whilst new land claim and raising can be cost-effective, raising developed land provides greater challenges, such as timeliness with respect to infrastructure design lives or financial costs. Thus the transferability and long-term benefits of land raising requires further consideration. K E Y W O R D Sadaptation, defence, flooding, island, land claim, sea-level rise

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“…In this paper, the offshore wave-tide-surge model gives integrated wave quantities (H s , T z ) and so sequences of random waves would have to be generated that matched these integrated quantities -in a manner similar to that in McCabe et al(2011). While it seems reasonable to expect overtopping by random waves to be largely due to the higher waves, reported observations of wave-bywave overtopping are extremely scarce (Hunt-Raby et al, 2011).…”

Section: Surf Zone Modelmentioning

confidence: 99%

Ensemble prediction of coastal flood risk arising from overtopping by linking meteorological, ocean, coastal and surf zone models

Zou

Chen

Cluckie

et al. 2013

Quart J Royal Meteoro Soc

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This paper presents an integrated 'Clouds-to-Coast' ensemble modelling framework of coastal flood risk due to wave overtopping. The modelling framework consists of four key components: meteorological forecasts, wave-tide-surge predictions, nearshore wave models and surf zone models. This type of ensemble prediction approach allows us to estimate the probabilities of various outcomes and so improve our understanding of the reliability of results. It also provides a measure of the uncertainty associated with predictions, which can be particularly large for extreme storms, and allows us to assess how the uncertainty propagates from meteorological forecasts to overtopping and subsequent coastal flood risk predictions. Copyright c 2013 Royal Meteorological SocietyKey Words: coastal flooding; overtopping; extreme events; ensemble prediction; uncertainty; sea wall

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Coupled wave action and shallow-water modelling for random wave runup on a slope

Cited by 12 publications

References 18 publications

Experimental Analysis of Wave Overtopping: A New Small Scale Laboratory Dataset for the Assessment of Uncertainty for Smooth Sloped and Vertical Coastal Structures

Experimental Analysis of Wave Overtopping: A New Small Scale Laboratory Dataset for the Assessment of Uncertainty for Smooth Sloped and Vertical Coastal Structures

Land raising as a solution to sea‐level rise: An analysis of coastal flooding on an artificial island in the Maldives

Ensemble prediction of coastal flood risk arising from overtopping by linking meteorological, ocean, coastal and surf zone models

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