Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Deriving the Speed of Sound in a Liquid

Deriving the Speed of Sound in a Liquid

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 propagating...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A semi-autonomous camera-based system for global monitoring of riverine floating macroplastic transport.

Scientific reports·2026

Same author

Exercise combined with artificial gravity and exercise only countermeasures prevent organ and blood vessel morpholgical changes induced by 55 days HDT bedrest.

Frontiers in physiology·2024

Same author

Effects of exercise countermeasure on myocardial contractility measured by 4D speckle tracking during a 21-day head-down bed rest.

European journal of applied physiology·2019

Same author

Charcot-Marie-Tooth (CMT)-like polyneuropathy revealing neurofibromatosis type 2: A case report and review of the literature.

Revue neurologique·2019

Same author

Layer filtering for seafloor scatterers imaging.

The Journal of the Acoustical Society of America·2015

Same author

[Type 2 neurofibromatosis: intergenerational differences in genetic and clinical expression].

Archives de pediatrie : organe officiel de la Societe francaise de pediatrie·2014

Search research articles

Related Experiment Video

Updated: May 9, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

Range dependent sediment sound speed profile measurements using the image source method.

S Pinson¹, L Guillon, C W Holland

¹Institut de Recherche de l'Ecole Navale, BCRM Brest, CC 600, F-29240 Brest Cedex 9, France. samuelpinson@yahoo.fr

The Journal of the Acoustical Society of America

|July 19, 2013

Summary

This summary is machine-generated.

The image source method accurately maps seabed stratigraphy by analyzing seafloor-reflected acoustic waves. This technique provides range and depth-dependent sediment sound speed profiles for underwater acoustic studies.

More Related Videos

Sediment Core Extrusion Method at Millimeter Resolution Using a Calibrated, Threaded-rod

Sediment Core Extrusion Method at Millimeter Resolution Using a Calibrated, Threaded-rod

Published on: August 17, 2016

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Related Experiment Videos

Last Updated: May 9, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

Sediment Core Extrusion Method at Millimeter Resolution Using a Calibrated, Threaded-rod

Sediment Core Extrusion Method at Millimeter Resolution Using a Calibrated, Threaded-rod

Published on: August 17, 2016

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Area of Science:

Oceanography
Acoustics
Geophysics

Background:

Accurate measurement of sediment sound speed profiles is crucial for understanding seafloor acoustic properties.
Traditional methods may not fully capture the complex range and depth-dependent variations in seabed structures.

Purpose of the Study:

To present a novel application of the image source method for measuring range-dependent sediment sound speed profiles.
To demonstrate the capability of this technique in mapping seabed stratigraphy.

Main Methods:

Utilizing acoustic data acquired by an autonomous undersea vehicle during the Clutter09 experiment.
Analyzing seafloor-reflected acoustic waves as image sources to determine sediment properties.
Employing a moving horizontal array to obtain successive sound speed profiles and recover array shape.

Main Results:

Successfully obtained range-dependent sediment sound speed profiles.
Demonstrated accurate mapping of seabed stratigraphy by comparing results with seismic data.
Validated the effectiveness of the image source method in characterizing seafloor structures.

Conclusions:

The image source method is a viable technique for measuring range-dependent sediment sound speed profiles.
This method provides valuable insights into the range and depth-dependent structure of the seafloor.
The findings support the use of acoustic methods for detailed seabed characterization.