EPJ Web Conf.
Volume 143, 2017EFM16 – Experimental Fluid Mechanics 2016
|Number of page(s)||7|
|Published online||12 May 2017|
Laboratory modelling of the wind-wave interaction with modified PIV-method
1 Institute of applied physics RAS, Geophysical Research Division, 603950 Ulyanova st. 46, Nizhny Novgorod, Russia
2 Lobachevsky state university of Nizhny Novgorod, 603950 Prospect Gagarina 23, Nizhny Novgorod, Russia
3 Mediterranean Institute of Oceanography, Avenue de Luminy 163, 13009, Marseille, France
4 Insititut fur Umweltphysik Im Neuenheimer Feld 229 69120, Heidelbeg, Germany
* Corresponding author: email@example.com
Published online: 12 May 2017
Laboratory experiments on studying the structure of the turbulent air boundary layer over waves were carried out at the Wind-Wave Flume of the Large Thermostratified Tank of the Institute of Applied Physics, Russian Academy of Sciences (IAP RAS), in conditions modeling the near water boundary layer of the atmosphere under strong and hurricane winds and the equivalent wind velocities from 10 to 48 m/s at the standard height of 10 m. A modified technique of Particle Image Velocimetry (PIV) was used to obtain turbulent pulsation averaged velocity fields of the air flow over the water surface curved by a wave and average profiles of the wind velocity. The main modifications are: 1) the use of high-speed video recording (1000-10000 frames/sec) with continuous laser illumination helps to obtain ensemble of the velocity fields in all phases of the wavy surface for subsequent statistical processing; 2) the development and application of special algorithms for obtaining form of the curvilinear wavy surface of the images for the conditions of parasitic images of the particles and the droplets in the air side close to the surface; 3) adaptive cross-correlation image processing to finding the velocity fields on a curved grid, caused by wave boarder; 4) using Hilbert transform to detect the phase of the wave in which the measured velocity field for subsequent appropriate binning within procedure obtaining the average characteristics.
© The Authors, published by EDP Sciences, 2017
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