This paper demonstrated that the background seismic noise can
be used to obtain information about the Earth’s interior. This
allows us to increase significantly the efficiency of passive
seismic imaging. Rather than waiting for earthquakes,
the new method recovers the useful information from ambient
seismic noise that is constantly produced by fluctuations in the
Earth’s atmosphere and oceans.
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“This paper demonstrated that the background seismic noise can be used to obtain information about the Earth’s interior.”
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This promises significant improvements in the resolution and
accuracy of crustal and upper mantle images down to 100 kilometers
or more within the Earth.
Does it describe a new discovery or a new methodology that’s
useful to others?
This paper presents a novel approach to the analysis of seismic
data. Extracting deterministic seismic waves from correlations of
seismic noise opens new opportunities to improve the imaging of
the Earth and the seismic monitoring of active faults and volcanoes.
Could you summarize the significance of your paper in
layman's terms?
Most of continuous seismic recordings are composed of signals
excited by non-tectonic sources, related to the coupling of the
solid Earth with the atmosphere and the oceans. Because of the
traditional orientation of seismology toward studies of
earthquakes and tectonics, those non-tectonically excited seismic
waves were often categorized as noise and were largely ignored by
seismologists.
The present study demonstrates that, by computing
cross-correlations of noise records at two separate stations A and
B, we can reconstruct a signal that is similar to a seismic record
that would be registered at A if an earthquake occurred at B.
Application of this technique to the records of the Californian
seismic network resulted in a few thousand new seismic
measurements that allowed us to construct images of the California
crust with a resolution level that is much superior to what could
be obtained with traditional earthquake-based methods.
How did you become involved in this research and were there
successes or failures?
This work is an example of a very fruitful exchange of ideas
between different scientific disciplines. My main field is
seismology and I have been lucky to become involved in an
interdisciplinary research on the physics of random wavefields.
After pioneering studies published in the ’60s and ’70s,
random seismic waves within the Earth rather disappeared from the
"mainstream" seismology, being considered as too complex
and not very useful to obtain information about the Earth’s
interior.
Recently, some seismologists have challenged this point of
view. Among them were Michel Campillo and his colleagues from the
University of Grenoble in France, who developed collaborations
with physicists and acousticians to bring new ideas and methods of
analysis of random wavefields into seismology.
Three years ago, I was working as a research associate with
professor Michael Ritzwoller at the University of Colorado,
developing new approaches for seismic surface-wave tomography.
At this time, Michel Campillo and his colleagues demonstrated
that correlations of randomly scattered seismic waves within the
Earth lead to deterministic measurements. A logical continuation
in this direction was an application of this technique to the
ambient seismic noise. Combination of the new noise-based
measurement technique with the surface-wave tomography proved to
be very fruitful.
What are the social or political implications of your
research?
Seismological methods are largely used for evaluation of
geologic hazards and, consequently, have important social
implications. Improvements to imaging and monitoring of the
superficial Earth structure with the new method proposed in this
paper can provide valuable information for risk assessment.
Nikolai Shapiro
Directeur de Recherche CNRS
Laboratoire de Sismologie
Institut de Physique du Globe de Paris
Paris, France