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

Guimarães, Pedro Veras; Farina, Leandro; Toldo, Elírio E.; Diaz-Hernandez, Gabriel; Akhmatskaya, Elena

doi:10.1016/j.coastaleng.2014.10.008

Cited by 42 publications

(38 citation statements)

References 23 publications

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“…This is in accordance with authors who suggest using the Stockdon formula in order to estimate wave runup as a first step in coastal flood assessments [94,95]. Some studies show that the Stockdon formula tends to over-estimate the flooding extent [55,67] or occasionally underestimate it [111].…”

Section: The Need For a Wave-tide-surge Integrated Approachsupporting

confidence: 90%

“…Flood levels were identified with in situ measurements assuming that wave runup superimposes on tidal and surge components to increase water levels. Although runup values are mainly acquired by modelling, in situ measurements, or video monitoring systems [111][112][113][114], they can be estimated using measurements of field deposits [32,52,55,79]. The approach proposed here is based on deep-water wave modelling, as no wave buoy data were available for the study site during the 2010 event.…”

Section: Discussionmentioning

confidence: 99%

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Coastal Flood Assessment Based on Field Debris Measurements and Wave Runup Empirical Model

David

Bernatchez

Boucher‐Brossard

et al. 2015

JMSE

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On 6 December 2010, an extra-tropical storm reached Atlantic Canada, causing coastal flooding due to high water levels being driven toward the north shore of Chaleur Bay. The extent of flooding was identified in the field along the coastline at Maria using DGPS. Using the assumption that the maximum elevation of flooded areas represents the combination of astronomical tide, storm surge and wave runup, which is the maximum elevation reached by the breaking waves on the beach, all flood limits were identified. A flood-zone delineation was performed using GIS and LiDAR data. An empirical formula was used to estimate runup elevation during the flood event. A coastal flood map of the 6 December flood event was made using empirical data and runup calculations according to offshore wave climate simulations. Along the natural beach, results show that estimating runup based on offshore wave data and upper foreshore beach slope represents well the observed flood extent. Where a seawall occupies the beach, wave breaking occurs at the toe of the structure and wave height needs to be considered independently of runup. In both cases (artificial and natural), flood risk is underestimated if storm surge height alone is considered. There is a need to incorporate wave characteristics in order to adequately model potential flood extent. A coastal flooding projection is proposed for Pointe Verte based on total water levels estimated according to wave climate simulation return periods and relative sea-level rise for the Chaleur Bay.

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Section: The Need For a Wave-tide-surge Integrated Approachsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Coastal Flood Assessment Based on Field Debris Measurements and Wave Runup Empirical Model

David

Bernatchez

Boucher‐Brossard

et al. 2015

JMSE

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“…Non-hydrostatic NL-SWE models (e.g., SWASH (Simulating WAves till SHore)) allow us to overcome some of the limitations in classic NL-SWE models by incorporating wave dispersion in the simulations. This numerical approach has been employed for the study of extreme water levels on a fringing reef lagoon (e.g., Torres-Freyermuth et al, 2012), wave run-up on beaches (e.g., Ruju et al, 2014;Guimarao et al, 2015), and infragravity shoreline dissipation (e.g., de Bakker et al, 2014). Furthermore, the potential for the run-up parameterization has been shown in Brinkkemper et al (2013).…”

Section: G Medellín Et Al: Downscaling Run-upmentioning

confidence: 99%

Run-up parameterization and beach vulnerability assessment on a barrier island: a downscaling approach

Medellín

Brinkkemper

Torres-Freyermuth

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. We present a downscaling approach for the study of wave-induced extreme water levels at a location on a barrier island in Yucatán (Mexico). Wave information from a 30-year wave hindcast is validated with in situ measurements at 8 m water depth. The maximum dissimilarity algorithm is employed for the selection of 600 representative cases, encompassing different combinations of wave characteristics and tidal level. The selected cases are propagated from 8 m water depth to the shore using the coupling of a third-generation wave model and a phase-resolving nonhydrostatic nonlinear shallow-water equation model. Extreme wave run-up, R 2 % , is estimated for the simulated cases and can be further employed to reconstruct the 30-year time series using an interpolation algorithm. Downscaling results show run-up saturation during more energetic wave conditions and modulation owing to tides. The latter suggests that the R 2 % can be parameterized using a hyperbolic-like formulation with dependency on both wave height and tidal level. The new parametric formulation is in agreement with the downscaling results (r 2 = 0.78), allowing a fast calculation of wave-induced extreme water levels at this location. Finally, an assessment of beach vulnerability to wave-induced extreme water levels is conducted at the study area by employing the two approaches (reconstruction/parameterization) and a storm impact scale. The 30-year extreme water level hindcast allows the calculation of beach vulnerability as a function of return periods. It is shown that the downscaling-derived parameterization provides reasonable results as compared with the numerical approach. This methodology can be extended to other locations and can be further improved by incorporating the storm surge contributions to the extreme water level.

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“…High-resolution numerical modelling has therefore become the preferred approach to characterize flooding hazards in the most exposed and vulnerable sites (e.g. Guimarães et al, 2015;Le Roy et al, 2015;Gallien, 2016).…”

mentioning

confidence: 99%

“…In the last few years, several process-based models have been developed and applied to address coastal flooding risks: VOF (volume of fluid) model (Tomás et al, 2016), Boussinesq model (Lynett et al, 2010;Andrade et al, 2013), nonhydrostatic phase-averaged model (Smith et al, 2012;Gallien, 2016), and NLSW (nonlinear shallow water) model (Suzuki et al, 2012;Guimarães et al, 2015;Le Roy et al, 2015). These, and especially the SWASH model (Simulating WAves till SHore), are able to reproduce the dynamics of wave surges and overtopping to an appropriate degree of reliability for coastal flooding studies (Suzuki et al, 2012).…”

mentioning

confidence: 99%

High-resolution marine flood modelling coupling overflow and overtopping processes: framing the hazard based on historical and statistical approaches

Lerma¹,

Bulteau²,

Elineau³

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. A modelling chain was implemented in order to propose a realistic appraisal of the risk in coastal areas affected by overflowing as well as overtopping processes. Simulations are performed through a nested downscaling strategy from regional to local scale at high spatial resolution with explicit buildings, urban structures such as sea front walls and hydraulic structures liable to affect the propagation of water in urban areas. Validation of the model performance is based on hard and soft available data analysis and conversion of qualitative to quantitative information to reconstruct the area affected by flooding and the succession of events during two recent storms. Two joint probability approaches (joint exceedance contour and environmental contour) are used to define 100-year offshore conditions scenarios and to investigate the flood response to each scenario in terms of (1) maximum spatial extent of flooded areas, (2) volumes of water propagation inland and (3) water level in flooded areas. Scenarios of sea level rise are also considered in order to evaluate the potential hazard evolution. Our simulations show that for a maximising 100-year hazard scenario, for the municipality as a whole, 38 % of the affected zones are prone to overflow flooding and 62 % to flooding by propagation of overtopping water volume along the seafront. Results also reveal that for the two kinds of statistic scenarios a difference of about 5 % in the forcing conditions (water level, wave height and period) can produce significant differences in terms of flooding like +13.5 % of water volumes propagating inland or +11.3 % of affected surfaces. In some areas, flood response appears to be very sensitive to the chosen scenario with differences of 0.3 to 0.5 m in water level. The developed approach enables one to frame the 100-year hazard and to characterize spatially the robustness or the uncertainty over the results. Considering a 100-year scenario with mean sea level rise (0.6 m), hazard characteristics are dramatically changed with an evolution of the overtopping / overflowing process ratio and an increase of a factor 4.84 in volumes of water propagating inland and 3.47 in flooded surfaces.

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

Cited by 42 publications

References 23 publications

Coastal Flood Assessment Based on Field Debris Measurements and Wave Runup Empirical Model

Coastal Flood Assessment Based on Field Debris Measurements and Wave Runup Empirical Model

Run-up parameterization and beach vulnerability assessment on a barrier island: a downscaling approach

High-resolution marine flood modelling coupling overflow and overtopping processes: framing the hazard based on historical and statistical approaches

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