Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Small-scale seismic inversion using surface waves extracted from noise cross correlation.

Pierre Gouédard1, Philippe Roux, Michel Campillo

  • 1Laboratoire de Géophysique Interne et de Tectonophysique, UMR CNRS 5559, Université Joseph Fourier, Grenoble, France. Pierre.Gouedard@obs.ujf-grenoble.fr

The Journal of the Acoustical Society of America
|March 19, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Acoustic monitoring of compaction in cohesive granular materials.

Physical review. E·2024
Same author

Prospective life cycle assessment of viticulture under climate change scenarios, application on two case studies in France.

The Science of the total environment·2023
Same author

AI-Based Unmixing of Medium and Source Signatures From Seismograms: Ground Freezing Patterns.

Geophysical research letters·2022
Same author

Three-dimensional higher-order raypath separation in a shallow-water waveguide.

JASA express letters·2022
Same author

A molecular study of Italian ryegrass grown on Martian regolith simulant.

The Science of the total environment·2022
Same author

Space-time monitoring of groundwater fluctuations with passive seismic interferometry.

Nature communications·2022
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

Researchers retrieved seismic Green's functions using ambient noise from human footsteps. This method successfully mapped near-surface shear velocity, demonstrating a novel geophysical technique.

Area of Science:

  • Geophysics
  • Seismology
  • Near-surface characterization

Background:

  • Green's functions are crucial for seismic imaging and are typically retrieved using controlled sources or extensive ambient noise.
  • Ambient seismic noise correlation offers a passive geophysical method for subsurface investigation.

Purpose of the Study:

  • To demonstrate the retrieval of Green's functions from localized, human-generated noise sources.
  • To validate the use of ambient noise correlation for near-surface geophysical characterization.

Main Methods:

  • Correlating ambient seismic noise recorded by a 14-m accelerometer array during a 10-minute walk.
  • Extracting surface wave modes from time-domain correlations of the Green's function.
  • Applying frequency-wave-number analysis to determine mode contributions and dispersion curves.

Related Experiment Videos

  • Inverting dispersion curves to obtain one-dimensional shear velocity profiles.
  • Main Results:

    • Successfully retrieved two distinct surface wave modes from the Green's function between accelerometers.
    • Identified individual mode contributions and their dispersion characteristics using Fourier analysis.
    • Obtained a one-dimensional shear velocity model of the near surface through inversion.

    Conclusions:

    • Human footsteps can serve as effective localized noise sources for seismic Green's function retrieval.
    • Ambient noise correlation, even with short durations and simple sources, is a viable method for near-surface geophysical studies.
    • This technique provides a cost-effective and accessible approach for shallow subsurface shear velocity estimation.