Issue |
Math. Model. Nat. Phenom.
Volume 13, Number 4, 2018
Harmonic analysis
|
|
---|---|---|
Article Number | 40 | |
Number of page(s) | 20 | |
DOI | https://doi.org/10.1051/mmnp/2018018 | |
Published online | 21 May 2018 |
Soliton spectra of random water waves in shallow basins
1
Aix Marseille Université, CNRS, Centrale Marseille,
IRPHE UMR 7342,
13384
Marseille, France
2
Faculty of Health, Engineering and Sciences, University of Southern Queensland,
Toowoomba,
QLD
4350, Australia
3
Department of Applied Mathematics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev,
Nizhny Novgorod
603950, Russia
* Corresponding author: yuas50@gmail.com
Received:
10
December
2017
Accepted:
23
January
2018
Interpretation of random wave field on a shallow water in terms of Fourier spectra is not adequate, when wave amplitudes are not infinitesimally small. A nonlinearity of wave fields leads to the harmonic interactions and random variation of Fourier spectra. As has been shown by Osborne and his co-authors, a more adequate analysis can be performed in terms of nonlinear modes representing cnoidal waves; a spectrum of such modes remains unchanged even in the process of nonlinear mode interactions. Here we show that there is an alternative and more simple analysis of random wave fields on shallow water, which can be presented in terms of interacting Korteweg–de Vries solitons. The data processing of random wave field is developed on the basis of inverse scattering method. The soliton component obscured in a random wave field is determined and a corresponding distribution function of number of solitons on their amplitudes is constructed. The approach developed is illustrated by means of artificially generated quasi-random wave field and applied to the real data interpretation of wind waves generated in the laboratory wind tank.
Mathematics Subject Classification: 76B15 / 76B25 / 35Q51 / 35Q53 / 37K40
Key words: Shallow water / wind waves / random wave field / wave spectra / solitons / numerical modelling / laboratory experiments
© EDP Sciences, 2018
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