EGU General Assembly 2021
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Humming trains as an opportune source for imaging the shallow crust

Laura Pinzon-Rincon1, François Lavoué1, Aurélien Mordret1, Pierre Boué1, Florent Brenguier1, Philippe Dales1,4, Christopher J. Bean2, and Daniel Hollis3
Laura Pinzon-Rincon et al.
  • 1ISTerre, Univ. Grenoble Alpes, CNRS, Grenoble, France
  • 2Geophysics Section, Dublin Institute for Advanced Studies, Dublin, Ireland
  • 3Sisprobe, Grenoble, France
  • 4Institute of Mine Seismology, USA
Freight trains are one of the most powerful and persistent seismic sources of cultural noise. They generate tremors equivalent to earthquakes of magnitude 1 that can be detectable up to 100 km distance.  Here, we propose to use the freight train passages as an opportunistic source of noise for passive seismic interferometry (SI). Usually, passive SI relies on blind correlations of long time series of noise for imaging and monitoring purposes. We suggest an alternative method based on noise source characterization, signal and station pairs selection, and specific seismic phase extraction (surface and body waves) for each virtual source to imaging the subsurface. To illustrate our novel method's potential, we show a case study in Canada's mineral exploration context, where we use retrieved body waves to estimate travel time tomography. This noise recovery approach to create valuable sources could be applied for several seismic noise sources and in different contexts improving spatial and temporal resolutions.

How to cite: Pinzon-Rincon, L., Lavoué, F., Mordret, A., Boué, P., Brenguier, F., Dales, P., Bean, C. J., and Hollis, D.: Humming trains as an opportune source for imaging the shallow crust, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8007,, 2021.

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