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Related Concept Videos

Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

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As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave...
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Related Experiment Video

Updated: Jan 14, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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Estimating sediment properties using a new source level function for wind-driven underwater sound derived from

S Bruce Martin1, Martin Siderius2

  • 1JASCO Applied Sciences (Canada), Ltd., Dartmouth, Nova Scotia, Canada.

The Journal of the Acoustical Society of America
|January 13, 2026
PubMed
Summary
This summary is machine-generated.

New research models ocean ambient sound from wind-driven waves. This provides accurate source levels for sonar, environmental assessments, and soundscape modeling, improving our understanding of underwater acoustics.

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Area of Science:

  • Oceanography
  • Acoustics
  • Environmental Science

Background:

  • Wind-driven breaking waves are a primary source of ambient sound in the ocean.
  • Accurate source levels are crucial for sound exposure modeling, environmental impact assessments, and sonar performance evaluation.
  • Existing models have limitations, particularly at lower frequencies (<1000 Hz) and varying wind speeds.

Purpose of the Study:

  • To develop an accurate source level model for wind-driven breaking waves down to 100 Hz.
  • To improve estimations of ambient sound levels in marine environments.
  • To provide a tool for estimating sediment properties or wind speeds based on acoustic data.

Main Methods:

  • Analysis of 16 long-term archival datasets with minimal anthropogenic noise.
  • Estimation of site-specific areic propagation loss (APL) using a ray-based model.
  • Calculation of source levels by adding APL to median received levels at different wind speeds.

Main Results:

  • A novel equation for the areic dipole source level was derived.
  • The source level increases with wind speed cubed, consistent with air-ocean coupling processes.
  • The model provides accurate source levels down to 100 Hz.

Conclusions:

  • The developed model accurately estimates wind-driven ambient sound levels for soundscape modeling.
  • The model can be utilized for inferring sediment properties or wind speeds from acoustic measurements.
  • An open-source implementation is available for broader application in marine acoustics research.