EGU26-5259, updated on 03 May 2026
https://doi.org/10.5194/egusphere-egu26-5259
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earthquake Location using Back Projection with Distributed Acoustic Sensing with Implications for Earthquake Early Warning
Gil Noy, Shahar Ben Zeev, and Itzhak Lior
Gil Noy et al.
  • The Hebrew University , Institute of Earth science , Jerusalem, Israel (gil.noy@mail.huji.ac.il)

We present a back-projection based earthquake location method tailored to Distributed Acoustic Sensing (DAS) arrays, using short overlapping fiber segments and a combined P–S framework to reliably locate local earthquakes. A 66km quasi-linear telecommunication fiber in Israel was repurposed as a DAS array. We analyzed several local earthquakes with varying source–array geometries. We divided the fiber into overlapping 5.4 km segments and back-projected P- and S-wave strain-rate recordings using a local 1D velocity model over a regional grid of potential earthquake locations. Each grid point is assigned with P- and S-phase semblance, and the corresponding phase-specific origin times, associated with the timing of maximum semblance. Segment-specific P- and S-phase semblance maps and the difference between P and S origin times were combined through a weighting scheme that favors segments with spatially compact high-semblance regions. The objective is maximizing both P- and S-wave semblance and minimizing P- and S-wave origin time discrepancies. Results for the analyzed earthquakes reveal robust constraints on both azimuth and epicentral distance from the fiber, and demonstrate the ability to mitigate DAS-related artifacts associated with broadside sensitivity and reduced coherency. We demonstrated the potential of the approach for real-time earthquake location and showed its performance when only P-wave recordings are available, underscoring the method’s potential for future DAS-based earthquake early warning implementation.

How to cite: Noy, G., Ben Zeev, S., and Lior, I.: Earthquake Location using Back Projection with Distributed Acoustic Sensing with Implications for Earthquake Early Warning, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5259, https://doi.org/10.5194/egusphere-egu26-5259, 2026.