Features of Sound Propagation in the Presence of Bubble Clouds in the Perturbed Surface Layer of the Ocean

Akulichev, V. A.; Bulanov, V. A.; Bugaeva, L. K.

doi:10.1134/s1028334x1908021x

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…More recent study [28] revealed that such clouds may contain a measurable amount of bubbles of 1-3 mm diameter. So bubbles from breaking waves may influence on sound propagation and scattering not only in the high frequency band but also in the band around 1 kHz [29,30]. For this reason [31] studied a problem how does the presence of bubble is revealed in scattering of Doppler-sensitive pulses and showed that the bubble scattering has a specific signature in backscattering Doppler spectra.…”

Section: Introductionmentioning

confidence: 99%

Surface waves prediction based on long-range acoustic backscattering in a mid-frequency range

Ermoshkin,

Kosteev,

Ponomarenko

et al. 2022

Preprint

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New data was obtained for a frequency band that had not been so well-studied for sea surface probing applications before. During the described 2-weeks sea experiment 1-3 kHz tonal pulses were emitted from a platform, located on the northern Black Sea shelf, and Doppler spectrum of reverberation was studied. We believe that this band is worth further studying due the sound propagation range is large enough to meet practical needs in coastal zone while the angle-distance resolution is quite moderate. However it is quite difficult to interpret the obtained data since backscattering spectrum shape is influenced by a series of effects and has a complicated link to wind waves and currents parameters. Backscattering of acoustical signals was received for distances around 2 nautical miles. Significant wave height, dominant wave frequency were estimated as the result of such signals processing with the use of machine learning tools. A decision-tree-based mathematical regression model was trained to solve the inverse problem. Wind waves prediction is in a good agreement with direct measurements, made on the platform, and machine learning results allow physical interpretation.

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Section: Introductionmentioning

confidence: 99%

Surface waves prediction based on long-range acoustic backscattering in a mid-frequency range

Ermoshkin,

Kosteev,

Ponomarenko

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Surface Waves Prediction Based on Long-Range Acoustic Backscattering in a Mid-Frequency Range

Ermoshkin

Kosteev

Ponomarenko

et al. 2022

JMSE

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Underwater acoustic echosounding for surface roughness parameters retrieval is studied in a frequency band that is relatively new for such purposes. During the described 2-weeks sea experiment, 1–3 kHz tonal pulses were emitted from an oceanographic platform, located on the northern Black Sea shelf. Doppler spectra of the resulting reverberation were studied. The frequency band of the acoustic system, selected for this study, is chosen due to the fact that the sound propagation range is large enough for remote sensing in a coastal zone, and the resolution cell size does not limit the research. Backscattering of acoustical signals was received for distances around two nautical miles. However, it turned to be quite difficult to interpret the obtained data since backscattering spectrum shape was influenced by a series of effects, resulting in a complicated link to wind waves and currents’ parameters. Significant wave height and dominant wave frequency were estimated as the result of such signals processed with the use of machine learning tools. A decision-tree-based mathematical regression model was trained to solve the inverse problem. Wind waves prediction is in a good agreement with direct measurements, made on the platform, and machine learning results allow physical interpretation.

show abstract

Features of Sound Propagation in the Presence of Bubble Clouds in the Perturbed Surface Layer of the Ocean

Cited by 2 publications

References 8 publications

Surface waves prediction based on long-range acoustic backscattering in a mid-frequency range

Surface waves prediction based on long-range acoustic backscattering in a mid-frequency range

Surface Waves Prediction Based on Long-Range Acoustic Backscattering in a Mid-Frequency Range

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