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Related Concept Videos

Sound as Pressure Waves01:17

Sound as Pressure Waves

Sound waves, which are longitudinal waves, can be modeled as the displacement amplitude varying as a function of the spatial and temporal coordinates. As a column of the medium is displaced, its successive columns are also displaced. As the successive displacements differ relatively, a pressure difference with the surrounding pressure is created. The gauge pressure varies across the medium.
The pressure fluctuation depends on the difference in displacements between the successive points in the...
Intensity and Pressure of Sound Waves01:05

Intensity and Pressure of Sound Waves

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Speed of Sound in Gases01:08

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Related Experiment Video

Updated: Jun 27, 2026

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

Geoacoustic inversion using combustive sound source signals.

Gopu R Potty, James H Miller, Preston S Wilson

    The Journal of the Acoustical Society of America
    |December 3, 2008
    PubMed
    Summary
    This summary is machine-generated.

    Combustive sound source (CSS) data reveal modal dispersion effects in shallow waters, proving effective for geoacoustic inversions. These results align well with core data, validating the inversion technique.

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    Last Updated: Jun 27, 2026

    Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
    07:24

    Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

    Published on: February 19, 2018

    Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
    10:42

    Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

    Published on: March 22, 2019

    Area of Science:

    • Ocean acoustics
    • Geophysical exploration
    • Wave propagation

    Background:

    • Shallow water environments present unique challenges for acoustic propagation.
    • Modal dispersion is a key phenomenon in shallow water acoustics.
    • Accurate geoacoustic models are crucial for underwater applications.

    Purpose of the Study:

    • To analyze combustive sound source (CSS) data for modal dispersion effects.
    • To assess the suitability of CSS data for modal geoacoustic inversions.
    • To validate inversion results against independent data.

    Main Methods:

    • Data collection using single hydrophone units in 65-110 m water depths.
    • Application of a dispersion-based short-time Fourier transform (DSTFT).
    • Iterative inversion scheme with adaptive time-frequency tiling.

    Main Results:

    • Clear observation of modal dispersion effects in CSS data.
    • Successful modal geoacoustic inversions were performed.
    • Inversion results showed favorable comparison with local core data.

    Conclusions:

    • CSS data are highly suitable for modal geoacoustic inversions in shallow waters.
    • The employed iterative inversion method is effective.
    • The study validates acoustic inversion techniques using experimental data.