EGU2020-16678
https://doi.org/10.5194/egusphere-egu2020-16678
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Imaging shallow structures in Dublin city using seismic interferometry of seismic waves generated by train traffic

Meysam Rezaeifar1, Giuseppe Maggio1, Yihe Xu1, Chris Bean1, François Lavoué2, Pierre Boué2, Laura Pinzon-Rincon2, and Florent Brenguier2
Meysam Rezaeifar et al.
  • 1Dublin Institute for Advanced Studies, School of Cosmic Physics, Geophysics Section, 5 Merrion square, Dublin, Ireland
  • 2Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, 38000 Grenoble, France

Although train-induced vibrations are mainly regarded as a source of unwanted noise for classical seismological applications, these vibrations act as powerful sources for seismic imaging using seismic interferometry. Most of the seismic interferometry studies to date have concentrated on using the ambient seismic field generated by natural processes but the appropriate use of train-induced vibrations could result in higher resolution images.

In this study, we present results of seismic interferometry applied on 3 days of railroad traffic data recorded by an array of 3-component seismographs along a railway in Dublin, Ireland. Train-generated waves show a significantly higher frequency range than those recovered from typical ambient noise interferometry. Analysing the recorded signal, we have been able to distinguish between different train types (e.g. cargo vs. passenger trains) and train lengths (3-4, 5-6, 7-9, and/or 10-11 wagons).

For seismic interferometry, a Common Mid-Point – Cross-Correlation (CMP-CC) stack approach has been used to directly image the structures beneath the array. This approach produces a reflection image with interfaces consistent with nearby borehole data at ~450-500 m and ~1350-1400 m depth.

In addition to this reflection image, our results document a strong relation between the ambient source location (trains in this case) and the retrieved seismic reflection image. Since we have train location GPS data, we extracted 2-s time windows for when the train is 1500 m, 1000 m, and 500 m away from the first sensor and we applied the CMP-CC procedure to produce reflection images. As expected, the reflection images are sensitive to the location of the ambient noise source.

Numerical forward modelling of seismic wavefields for various source-receiver configurations also documents a strong correlation between the source location and the retrieved reflection image.

This research emanates from PACIFIC - Passive seismic techniques for environmentally friendly and cost-effective mineral exploration - which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No~776622. We also acknowledge support from the European Research Council under grant No.~817803, FAULTSCAN.

How to cite: Rezaeifar, M., Maggio, G., Xu, Y., Bean, C., Lavoué, F., Boué, P., Pinzon-Rincon, L., and Brenguier, F.: Imaging shallow structures in Dublin city using seismic interferometry of seismic waves generated by train traffic, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16678, https://doi.org/10.5194/egusphere-egu2020-16678, 2020

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Presentation version 1 – uploaded on 04 May 2020
  • CC1: train correlation, Laura Ermert, 05 May 2020

    Hi Meysam, this is a very interesting poster, thanks! I just had a look. I was wondering whether the train signal is sufficiently broad-band that you get a well-delineated arrival from the cross-correlation?

    • AC1: Reply to CC1, Meysam Rezaeifar, 05 May 2020

      He Laura, Since we are very close to the railroad (5m) we have been able to record a wide range on train produced signal (from ~7Hz up to ~90Hz). And should be noted that we used SP 1Hz sensors with a 200 sampling rate.