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2003, Proc. 5 th AMS Coastal Conf
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5 pages
1 file
AI-generated Abstract
The paper discusses the application of the Delft3D modeling system in nearshore environments, particularly for military operations like beach assaults and mine sweeping. It emphasizes the importance of a rapid and flexible assessment of nearshore conditions, highlighting the capabilities of Delft3D in simulating waves, currents, and sediment transport. The research outlines the need for further experiments to finalize model parameters and suggests integrating Delft3D into existing systems to enhance operational effectiveness.
Journal of Geophysical Research, 1999
A third-generation numerical wave model to compute random, short-crested waves in coastal regions with shallow water and ambient currents (Simulating Waves Nearshore (SWAN)) has been developed, implemented, and validated. The model is based on a Eulerian formulation of the discrete spectral balance of action density that accounts for refractive propagation over arbitrary bathymetry and current fields. It is driven by boundary conditions and local winds. As in other third-generation wave models, the processes of wind generation, whitecapping, quadruplet wave-wave interactions, and bottom dissipation are represented explicitly. In SWAN, triad wave-wave interactions and depth-induced wave breaking are added. In contrast to other third-generation wave models, the numerical propagation scheme is implicit, which implies that the computations are more economic in shallow water. The model results agree well with analytical solutions, laboratory observations, and (generalized) field observations.
Journal of Marine Science and Technology
The objective of the present work is to illustrate the performances of the numerical wave models in ocean and coastal environment. Third generation wave models are considered nowadays the most appropriate for such task. These are full spectral models based on the integration on the wave energy (or alternatively wave action) balance equation. In order to cover more aspects related with the modelling process hindcast, nowcast and forecast schemes are discussed and illustrated along six case studies. The major model used was SWAN (acronym for Simulating Waves Nearshore) which is a very flexible model that can be applied in a wide range of coastal applications being effective from high resolution coastal areas up to quasi oceanic scales. In both hindcasts and forecasts the wave forcing was provided by generation models (WAM and WW3), while in nowcast schemes buoy data were used. Various coastal environments that are rather different from the point of view of the bathymetric features and of the characteristics of the environmental matrix were considered. These are the Portuguese continental nearshore with higher resolution sub domains, Madeira Archipelago, the nearshore of Sardinia Island in the Mediterranean Sea and the Black Sea. A general conclusion of this work would be that, despite some limitations, the wave models provide an effective framework in predicting wave conditions in ocean and coastal environment.
Ocean Dynamics, 2005
Wave modeling has been performed in the German Bight of the North Sea during November 2002, using the spectral wave models of K-model and SWAN, both developed for applications in shallow water environments. These models mainly differ in their dissipation source term expressions and in excluding or including non-linear wave-wave interactions. Whereas the Kmodel is using non-linear dissipation and bottom dissipation, and neglecting quadruplet wavewave interaction, SWAN includes, besides bottom dissipation, dissipation by white-capping and depth induced wave breaking and triad wave-wave interaction. Boundary spectra were extracted from the WAM model results of a North Sea hindcast of the HIPOCAS project, wind fields, tidal current and water level variations from the results of models used in the Belawatt project. The purpose of this study was to test the performance of both shallow water wave models to see whether they are able to predict near-shore wave conditions accurately. Runs were performed with and without tidal current and level variations to determine their effects on waves. Comparisons of model results with buoy measurements show that taking into account tides and currents improve the spectral shape especially in areas of high current speeds. Whereas SWAN performs better in terms of spectral shape, especially in case of two peaked spectra, K-model shows better results in terms of integrated parameters.
Journal of Physics: Conference Series, 2019
This study simulates shallow water waves using the Navier-Stokes equation. This simulation uses the MatLab application, especially Quickersim with 2-dimensional output. Mesh in simulation is made using Gmsh. Research about shallow water has an essential role in studying the characteristics of ocean waves. The depth of the sea influences this characteristic. Data obtained from this simulation is in the wave height and velocity positions at any time. The limitations in the data collected are not comparable with the experimental results because there are no experimental Navier-Stokes simulations, but these simulation results have shown the phenomenon of seawater movement. In future work, the results of this study can be used to analyse its application in tsunami waves.
A third-generation spectral wave model (Simulating Waves Nearshore (SWAN)) for small-scale, coastal regions with shallow water, (barrier) islands, tidal flats, local wind, and ambient currents is verified in stationary mode with measurements in five real field cases. These verification cases represent an increasing complexity in twodimensional bathymetry and added presence of currents. In the most complex of these cases, the waves propagate through a tidal gap between two barrier islands into a bathymetry of channels and shoals with tidal currents where the waves are regenerated by a local wind. The wave fields were highly variable with up to 3 orders of magnitude difference in energy scale in individual cases. The model accounts for shoaling, refraction, generation by wind, whitecapping, triad and quadruplet wave-wave interactions, and bottom and depth-induced wave breaking. The effect of alternative formulations of these processes is shown. In all cases a relatively large number of wave observations is available, including observations of wave directions. The average rms error in the computed significant wave height and mean wave period is 0.30 m and 0.7 s, respectively, which is 10% of the incident values for both.
… and forecasting & …, 2007
Journal of Hydraulic Research, 2002
In this paper we review various numerical models for calculating wave propagations from deep water to surf zone, including wave breaking. The limitations and the approximations for each model are briefly discussed. The main focus of the discussions is on the unified depth-integrated model, which can describe fully nonlinear and weakly dispersive waves, and the Reynolds Averaged Navier-Stokes equations model, which can calculate breaking waves and associated turbulence. Several applications of various models are also presented.
1999
Abstract. A third-generation numerical wave model to compute random, short-crested waves in coastal regions with shallow water and ambient,currents (Simulating Waves Nearshore (SWAN)) has been developed, implemented, and validated. The model is based on a Eulerian formulation,of the discrete spectral balance of action density that accounts,for refractive propagation,over arbitrary bathymetry,and current fields. It is driven by boundary conditions and local
Coastal Engineering, 2007
A deterministic combination of numerical and physical models for coastal waves is developed. In the combined model, a Boussinesq model MIKE 21 BW is applied for the numerical wave computations. A piston-type 2D or 3D wavemaker and the associated control system with active wave absorption provides the interface between the numerical and physical models. The link between numerical and physical models is given by an ad hoc unified wave generation theory which is devised in the study. This wave generation theory accounts for linear dispersion and shallow water non-linearity. Local wave phenomena (evanescent modes) near the wavemaker are taken into account. With this approach, the data transfer between the two models is thus on a deterministic level with detailed wave information transmitted along the wavemaker.
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