Accurate Magnitude and Stress Drop Using the Spectral Ratios Method Applied to Distributed Acoustic Sensing

Itzhak Lior*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The reliable estimation of earthquake magnitude and stress drop are key in seismology. The novel technology of distributed acoustic sensing (DAS) holds great promise for source parameter inversion owing to the measurements' high spatial density. In this study, I demonstrate the robustness of DAS for magnitude and stress drop estimation using the empirical Green's function deconvolution method. This method is applied to nine co-located earthquakes recorded in Israel following the 2023 Turkey earthquakes. Spectral ratios were stacked along the fiber, and fitted with a relative Boatwright source spectral model. Excellent fits were obtained even for similar sized earthquakes. Stable seismic moments and stress drops were calculated assuming that the moment of one earthquake is known. DAS derived estimates were found to be more stable and reliable than those obtained using a dense accelerometer network. The results demonstrate the great potential of DAS for source studies.

Original languageAmerican English
Article numbere2023GL105153
JournalGeophysical Research Letters
Volume51
Issue number1
DOIs
StatePublished - 16 Jan 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

  • distributed acoustic sensing
  • earthquake magnitude
  • earthquakes
  • empirical Green's function
  • seismology
  • stress drop

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