Analysis of dune erosion processes in large-scale flume experiments

Vries, J.S.M. van Thiel de; Gent, Marcel R.A. van; Walstra, D.J.R.; Reniers, Ad

doi:10.1016/j.coastaleng.2008.04.004

Cited by 119 publications

(67 citation statements)

References 12 publications

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“…The results indicate that T p influences Δx and ΔV ; in particular, Δx and ΔV increase for larger values of T p in accordance with van Gent et al (2008). More in detail, the influence of T p on Δx and ΔV is evident after the first wave attack; for n larger than 250, the observed values of Δx and ΔV are quite similar.…”

Section: Dune Erosion: "Causes and Effects"supporting

confidence: 68%

“…Sallenger et al (2003) describes four regimes of storm attack on a beach/dune system: 1. swash regime with wave run-up confined to the foreshore; 2. collision regime with swash and run-up to the dune face; 3. overwash regime with wave overtopping the dune crest; 4. breaching and inundation regime. With regard to the collision regime, experiments on dune erosion using large-scale models have been performed by Vellinga (1986), Delft Hydraulics (1982a,b, 1984a,b, 1987, 2004, Van Gent et al (2008). Similar experiments have been done in Germany (Dette et al 1998) focusing on German coastal conditions and in the USA (Kraus and Smith 1994) focusing on USA coasts.…”

Section: Introductionmentioning

confidence: 85%

“…Based on the analysis of the test results, the effects of T p and h 0 on dune erosion in terms of ΔV and Δx appeared evident; in particular, ΔV and Δx increase for larger values of T p in accordance with van Gent et al (2008) and h 0 , which correspond to overwash conditions. The analytical model proposed by Larson et al (2004) in a simplified version has been calibrated and verified for the preliminary estimates of ΔV = f (n); the comparison between observed values and calculated results showed a good agreement; the larger scatters have been obtained for the case of overwash condition (Test F) due to the model limitations.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Dune Erosion Physical, Analytical and Numerical Modelling

D’Alessandro

Tomasicchio

Musci

et al. 2012

Int. Conf. Coastal. Eng.

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, within the EU-Hydralab III Integrated Infrastructure Initiative. The model tests have been carried out in a flume with a sandy dune exposed to a combination of water levels and wave conditions. Different regimes of wave attacks on the sandy/beach dune system have been investigated; in particular, the study provides a unique set of large-scale physical data concerning the storm waves induced dune overwash (Tomasicchio et al. 2011a; Tomasicchio et al.2011b). The effects of various "load parameters" on the dune erosion process generation, including dune recession rates in terms of the retreat of the dune face, Δx, and the eroded volume, ΔV, have been investigated and discussed. The laboratory data sets have been adopted to calibrate and verify the analytical model proposed by Larson et al. (2004) in order to calculate the values of ΔV at specific time intervals. Furthermore, the profile measurements have been used to calibrate and verify the numerical model C-SHORE (Kobayashi et al. 2007) predicting the beach-dune profile modifications over the near-shore region (Tomasicchio et al. 2011a; Tomasicchio et al.2011b).

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Section: Dune Erosion: "Causes and Effects"supporting

confidence: 68%

Section: Introductionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Dune Erosion Physical, Analytical and Numerical Modelling

D’Alessandro

Tomasicchio

Musci

et al. 2012

Int. Conf. Coastal. Eng.

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“…Coincident with the shape transformation of the incident ocean waves, difference interactions ( f 1 2 f 2 5 f 3 ) also transfer energy to infragravity waves (e.g., Herbers et al 1994). Infragravity waves, longer (20-200 s) period waves, may be important for the erosion of beaches (e.g., Russell 1993) and dunes (Van Thiel de Vries et al 2008) during storms. They are bound to the short-wave groups with a 1808 phase difference (Longuet-Higgins and Stewart 1962), and have the same wave period and wavelength as the group.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Infragravity–Wave Interactions on a Gently Sloping Laboratory Beach

Bakker

Herbers

Smit

et al. 2015

Journal of Physical Oceanography

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A high-resolution dataset of three irregular wave conditions collected on a gently sloping laboratory beach is analyzed to study nonlinear energy transfers involving infragravity frequencies. This study uses bispectral analysis to identify the dominant, nonlinear interactions and estimate energy transfers to investigate energy flows within the spectra. Energy flows are identified by dividing transfers into four types of triad interactions, with triads including one, two, or three infragravity-frequency components, and triad interactions solely between short-wave frequencies. In the shoaling zone, the energy transfers are generally from the spectral peak to its higher harmonics and to infragravity frequencies. While receiving net energy, infragravity waves participate in interactions that spread energy of the short-wave peaks to adjacent frequencies, thereby creating a broader energy spectrum. In the short-wave surf zone, infragravity-infragravity interactions develop, and close to shore, they dominate the interactions. Nonlinear energy fluxes are compared to gradients in total energy flux and are observed to balance nearly completely. Overall, energy losses at both infragravity and short-wave frequencies can largely be explained by a cascade of nonlinear energy transfers to high frequencies (say, f . 1.5 Hz) where the energy is presumably dissipated. Infragravity-infragravity interactions seem to induce higher harmonics that allow for shape transformation of the infragravity wave to asymmetric. The largest decrease in infragravity wave height occurs close to the shore, where infragravity-infragravity interactions dominate and where the infragravity wave is asymmetric, suggesting wave breaking to be the dominant mechanism of infragravity wave dissipation.

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“…While changes in sea level and wave angle will be regional (Idier et al 2013;Cazenave and Cozannet 2014;Slangen et al 2014), coastal response will be local, depending on offshore bathymetric characteristics (e.g., Claudino-Sales et al 2008), or the dune morphology themselves (e.g., Van Thiel De Vries et al 2010;De Winter et al 2015). Several impact assessments have been executed to evaluate the possible impact of climate change on local coastal hazards, such as the coast of Oregon, USA, where besides SLR, future occurrences of EL Niño are included (Baron et al 2015) or the coasts of California, USA, where different types of coasts are present (e.g.…”

mentioning

confidence: 99%

Sensitivity analysis of climate change impacts on dune erosion: case study for the Dutch Holland coast

Winter

Ruessink

2017

Climatic Change

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Climate change could have large implications for the management of dunefringed coasts. Sea level rise and changes in storm wave and surge characteristics could lead to enhanced dune erosion and hence a decrease in safety levels. Here, we use the processbased model XBeach to quantify the impact of sea level rise and changing hydrodynamic boundary conditions on the magnitude of future dune erosion at two locations along the Dutch coast. We find a linear relation between sea level rise and dune erosion volume, the exact linear relation being dependent on the local hydrodynamical boundary conditions. The process driving higher erosion appears to be sea level rise, allowing waves to attack the dune at a higher level. Additional simulations illustrate that a change in the offshore wave angle, potentially produced by changes in storm tracks, could influence the erosion volume with the same order of magnitude as sea level rise. Finally, simulations with different mitigation options (i.e., sand nourishments) illustrate the strong effect of the location of the added sand to the reduction in the dune erosion volume.

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Analysis of dune erosion processes in large-scale flume experiments

Cited by 119 publications

References 12 publications

Dune Erosion Physical, Analytical and Numerical Modelling

Dune Erosion Physical, Analytical and Numerical Modelling

Nonlinear Infragravity–Wave Interactions on a Gently Sloping Laboratory Beach

Sensitivity analysis of climate change impacts on dune erosion: case study for the Dutch Holland coast

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