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Spectral Wave Dissipation over Vegetationby Vegetation |
Graduation Date and Time: 15:00h on the 17th of July, 2020 Report: http://repository.tudelft.nl/ Abstract: Large-scale modelling modeling of waves with spectral wave models such as SWAN is indispensable for the design of coastal structures and the assessment of flood risk. The wave dissipation computational modelling works out well for average bathymetries with e.g. sandy material. One of the exceptions is the modelling of wave dissipation due to submerged or emerging aquatic vegetation. Wave dissipation due to vegetation can be represented modeled
in SWAN as increased bottom friction (implicit modellingmodeling) or as an additional dissipation function (explicit modellingmodeling). The second one assumes that vegetation can be represented as cylinder rigid cylinders or plates (canopies). Wave dissipation over any kind of species has been measured at numerous locations all over the world, providing insight in the physical process and validation material for the various models that have been developed so far.
with different properties. While some studies concluded that implicit modeling reproduces the spectral evolution of field measurements more closely, others concluded the opposite.
Within the BE-SAFE project, wave measurements field campaigns measured the spectral energy distribution over salt marshes in the Dutch Wadden Sea were carried out during several winter storms. The modelled and measured spectral energy distribution . The vegetated foreshore in front of the coastal dike
got submerged over 2mof water during high tide and stormsurge. The measurements deployed wave gauges over the study transect, which was defined between the pioneer zone marsh edge and the near-dike location
(300 m behind the salt marsh). Calibrating the implicit and explicit models in SWAN brought the modeled total wave energy decay closer to the measurement. Nevertheless, the spectral shape, which describes the
energy distribution over frequencies, still showed significant and not yet understood differences .
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Example of mismatch between modelled (dashed lines) and measured (continuous line) spectral wave distribution at the salt marsh edge (red) and at the dike (blue).near the dike.
A methodology was executed to investigate the mechanisms that could reduce the spectral mismatch between the SWAN wave model and measurements over vegetation. First, the literature highlighted possible
mechanisms that could be incorporated for this purpose. Next, a new frequency-distributed explicit dissipation model of Jacobsen et al. [2019] was implemented in SWAN and compared to implicit and explicit models
using lab and field measurements.
The results showed that the newly implemented model accurately captures the physics and the change of spectral shapes for all experimentally tested wave conditions and submergences. In contrast, the existing
implicit and explicit dissipation models in SWAN reproduce the spectral evolution only under certain circumstances. In the validation and comparison to the field measurements with a much larger water depth
than the vegetation height, the model of Jacobsen et al. [2019] correctly captured the vegetation’s physical representation and the dissipation on the wind-sea frequencies. Nevertheless, the amount of energy on low
frequencies was largely underpredicted by all frequency-distributed models. Therefore, the model of Jacobsen et al. [2019] was modified to include flexibility in a frequency-dependent reduction factor that reproduced
the energy decay of the measurements in all frequency regions. Other mechanisms that could be responsible for the mismatch before and over the marsh are the redistribution of energy by non-linear triad interactions,
generation of infra-gravity waves, and near-shore currents caused by horizontal variations on the vegetation properties.
The present research provides the range of conditions in which the tested explicit and implicit energy dissipation functions in SWAN are able to simulate the spectral evolution over rigid canopies and flexible
salt-marsh vegetation. A new version of SWAN includes a new frequency-distributed explicit model that performed more accurately than existing models for rigid canopies. The physical insights from the research
contributed to developing additional versions of SWAN, which performed closely to the energy distribution of the measurements over deeply submerged and flexible salt marsh vegetation species
Project POVW/BESAFE at the Wadden Sea, Groningen. The Netherlands. Recently Jacobsen et al. (2019) published a new, frequency-dependent dissipation model for waves propagating over a canopy. This is considered as a promising development showing significant differences specially for submerged canopies. The goal of the graduation project is to improve the presently available vegetation module in SWAN, e.g. by implementing the formulation of Jacobsen et al. (2019). This might include a further refinement of the formulation and reanalysis data. The model by Jacobsen et al. (2019) is formally limited to rigid vegetation, so the effect of flexibility of the stems on wave dissipation under varying wave climates will also be considered. Reference: Jacobsen, McFall, Van der A (2019). A frequency distributed dissipation model for canopies. Coastal Engineering, 150,135-146 https://www.sciencedirect.com/science/article/abs/pii/S0378383918303892
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