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Abstract

Summary

Seismic arrays deployed using DAS generally suffer from a poorer SNR than those using conventional seismometers or geophones, however their high spatial resolution provides opportunities to supress noise and enhance coherent signals. Using a localised Radon transform-based detection method, we exploit the spatial resolution of DAS to identify low amplitude arrivals. We develop this approach using data acquired at the Rutford Ice Stream, Antarctica, where naturally occurring microseismicity is a regular occurrence due to high flow rates of the glacier. During January 2020 both linear and triangular arrangements of fibreoptic cable were deployed to recorded icequakes originating from the base of the glacier, and these were complimented by a network of 3-component geophones. Using a 6hr subset of this dataset we show that the DAS network can achieve a higher detection rates than the geophone network when Radon detection methods are employed. The linear array achieves better detection rates than the triangular array due to is larger spatial coverage, however the one-dimensional nature of the array results in significant ambiguities in event locations.

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/content/papers/10.3997/2214-4609.202131039
2021-03-01
2024-05-21
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References

  1. Hudson, T.S., Smith, J., Brisbourne, A., & White, R.
    (2019). Automated detection of basal icequakes and discrimination from surface crevassing.Annals of Glaciology, 60(79), 1–11.
    [Google Scholar]
  2. Hudson, T.S., Baird, A.F., Kendall, J.M., Kufner, S.K., Brisbourne, A.M, Smith, A.M., Butcher, A.C., Chalari, A. & Clarke, A.
    (2020) Distributed Acoustic Sensing (DAS) for natural microseismicity studies: A case study from Antarctica.Geophysical Research Letters. In review
    [Google Scholar]
  3. Lomax, A., Satriano, C., & Vassallo, M.
    (2012). Automatic Picker Developments and Optimization: FilterPicker--a Robust, Broadband Picker for Real-Time Seismic Monitoring and Earthquake Early Warning.Seismological Research Letters, 83(3), 531–540.
    [Google Scholar]
  4. Sabbione, J. I., Sacchi, M. D., & Velis, D. R.
    (2015). Radon transform-based microseismic event detection and signal-to-noise ratio enhancement.Journal of Applied Geophysics, 113, 51–63.
    [Google Scholar]
  5. Smith, E.C., Smith, A. M., White, R. S., Brisbourne, A. M., & Pritchard, H. D.
    (2015). Mapping the ice-bed interface characteristics of Rutford Ice Stream, West Antarctica, using microseismicity.Journal of Geophysical Research: Earth Surface, 120(9), 1881–1894.
    [Google Scholar]
  6. Williams, A.
    , J. M.Kendall, A.Clarke, and J.Verdon, 2017. Challenges in locating microseismic events using distributed acoustic sensors: Presented at the AGU Fall Meeting
    [Google Scholar]
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