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Physics-based characterization of soft marine sediments using vector sensors
Oleg A Godin1, Thomas J Deal2, Hefeng Dong3
1Department of Physics, Naval Postgraduate School, 833 Dyer Road, Monterey, California 93943-5216, USA.
The Journal of the Acoustical Society of America
|January 30, 2021
Summary
Researchers observed unique seismo-acoustic waves in the North Sea, revealing a two-layered seabed structure. This finding aids in understanding marine sediment properties through resonance analysis.
Area of Science:
- Geophysics
- Ocean Acoustics
- Marine Seismology
Background:
- Seismo-acoustic wave fields are crucial for understanding seafloor properties.
- Interface waves propagate along boundaries and carry information about sediment layers.
- Previous studies have explored marine sediment characterization using wave phenomena.
Purpose of the Study:
- To analyze low-frequency seismo-acoustic wave fields in the northern North Sea.
- To investigate the characteristics of interface waves and their relation to seabed structure.
- To develop a geoacoustic model that explains observed seismo-acoustic phenomena.
Main Methods:
- Deployment of a linear horizontal array of seafloor vector sensors.
- Analysis of power spectra to identify dominant frequencies and wave phenomena.
- Examination of dispersion curves for interface waves to infer sediment properties.
- Development and application of a geoacoustic model for inverse problem analysis.
Main Results:
- Observation of a strong, narrow power spectrum peak around 38 Hz.
- Identification of multi-mode horizontally and vertically polarized interface waves.
- Phase speeds for interface waves ranged from 45 to 350 m/s.
- Dispersion curves indicated a two-layered seabed with power-law shear speed dependence.
- A geoacoustic model successfully reproduced key observational features.
Conclusions:
- The observed power spectrum peak is interpreted as a seismo-acoustic resonance.
- The findings suggest a complex, layered marine sediment structure.
- The developed geoacoustic model provides a quantitative explanation for the observations.
- Vector sensor data is critical for separating wave polarizations and evaluating sediment density.
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