Thresholds for storm impacts on an exposed sandy coastal area in southern Portugal

Almeida, Luís Pedro; Vousdoukas, Michalis; Ferreira, Óscar; Rodrigues, Bruna Alves; Matias, Ana

doi:10.1016/j.geomorph.2011.04.047

Cited by 85 publications

(68 citation statements)

References 25 publications

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“…While the eastern sector of Faro Beach is accreting and vegetated foredune development is evident, the central and western parts tend toward erosion, with much of their natural dune ridge having been overtaken by urban development. As a result, a large part of the ocean front has been artificially stabilized with sea walls, which are often overwashed during spring tides or under storm conditions (Almeida et al 2011b). …”

Section: Study Areamentioning

confidence: 99%

“…The accuracy was estimated to be in the range of 5 cm for both vertical and horizontal dimensions. (Vousdoukas et al 2011b). For this study, timestack images for wave run-up measurements were generated on an hourly basis.…”

Section: Wave Tidal Wind and Topographic Datamentioning

confidence: 99%

“…The procedure followed is described in detail in Vousdoukas et al (2011) and in the extensive literature on coastal video monitoring (e.g., Holman and Stanley 2007;Smith and Bryan 2007;Pearre and Puleo 2009 and references therein). Geo-rectification errors due to camera movement have been corrected following an automatic procedure based on feature matching (Vousdoukas et al 2011b).…”

Section: Wave Tidal Wind and Topographic Datamentioning

confidence: 99%

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Coastal vulnerability assessment based on video wave run-up observations at a mesotidal, steep-sloped beach

2011

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Coastal imagery obtained from a coastal video monitoring station installed at Faro Beach, S. Portugal, was combined with topographic data from 40 surveys to generate a total of 456 timestack images. The timestack images were processed in an open-access, freely available graphical user interface (GUI) software, developed to extract and process time series of the cross-shore position of the swash extrema. The generated dataset of 2% wave run-up exceedence values R 2 was used to form empirical formulas, using as input typical hydrodynamic and coastal morphological parameters, generating a best-fit case RMS error of 0.39 m. The R 2 prediction capacity was improved when the shore-normal wind speed component and/or the tidal elevation η tide were included in the parameterizations, further reducing the RMS errors to 0.364 m. Introducing the tidal level appeared to allow a more accurate representation of the increased wave energy dissipation during low tides, while the negative trend between R 2 and the shorenormal wind speed component is probably related to the wind effect on wave breaking. The ratio of the infragravityto-incident frequency energy contributions to the total swash spectra was in general lower than the ones reported in the literature E infra /E inci >0.8, since low-frequency contributions at the steep, reflective Faro Beach become more significant mainly during storm conditions. An additional parameterization for the total run-up elevation was derived considering only 222 measurements for which η total,2 exceeded 2 m above MSL and the best-fit case resulted in RMS error of 0.41 m. The equation was applied to predict overwash along Faro Beach for four extreme storm scenarios and the predicted overwash beach sections, corresponded to a percentage of the total length ranging from 36% to 75%.

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Section: Study Areamentioning

confidence: 99%

Section: Wave Tidal Wind and Topographic Datamentioning

confidence: 99%

Section: Wave Tidal Wind and Topographic Datamentioning

confidence: 99%

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Coastal vulnerability assessment based on video wave run-up observations at a mesotidal, steep-sloped beach

2011

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“…The difficulty in collecting adequate datasets makes the study of the role of storms on long-term beach change challenging (Zhang et al, 2002;Anderson et al, 2010) with most studies focusing on detailed measurements of fast-scale hydrodynamic and sediment transport processes at a selected location (e.g., Aagaard et al, 2005), or on the analysis of beach profiles which are usually sparse in time (e.g., Almeida et al, 2012). Datasets with adequate resolution in both time and space are uncommon, and even fewer studies have addressed the effect of 'clusters' of storms on beach response (Birkemeier et al, 1999;Ferreira, 2006).…”

Section: Introductionmentioning

confidence: 99%

Beach response to a sequence of extreme storms

Coco¹,

Sénéchal²,

Rejas³

et al. 2014

Geomorphology

174

107

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“…Storms represent one of the most significant natural threats to coastal communities, leading to lives lost and property damage (Almeida et al, 2012). Storm events can cause coastal erosion, coastal flooding, damage to infrastructure and other undesirable effects, thus creating the need for management tools, such as vulnerability maps, predictive techniques or warning systems, that can help to prevent these negative consequences.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of extreme wave runup during storm events in Tramandaí Beach, Rio Grande do Sul, Brazil

Guimarães

Farina

Toldo

et al. 2015

Coastal Engineering

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Thresholds for storm impacts on an exposed sandy coastal area in southern Portugal

Cited by 85 publications

References 25 publications

Coastal vulnerability assessment based on video wave run-up observations at a mesotidal, steep-sloped beach

Coastal vulnerability assessment based on video wave run-up observations at a mesotidal, steep-sloped beach

Beach response to a sequence of extreme storms

Numerical simulation of extreme wave runup during storm events in Tramandaí Beach, Rio Grande do Sul, Brazil

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