<p>A method is presented for determining the vertical direction relative to the axes of seismometers installed in seafloor observatories. The method is based on the linear relationship between the vertical component of seafloor acceleration and pressure variations at the ocean bottom, which follows directly from Newton’s second law and holds within the frequency range of forced oscillations. The method’s performance was validated using data from ocean bottom seismometers (accelerometers) and pressure gauges of six S-net stations during three seismic events: Gulf of Alaska <b>M</b><sub><b>w</b></sub><b> 7.9</b> (23.01.2018), Chignik <b>M</b><sub><b>w</b></sub><b> 8.2</b> (29.07.2021) and Noto <b>M</b><sub><b>w</b></sub><b> 7.5</b> (01.01.2024). The results were compared with an independent alternative method, showing discrepancies within 1° for most stations. Compared with gravity-based approaches, the proposed cross-spectral method works for both accelerometers and velocimeters, enabling routine orientation checks for a wider range of OBS networks.</p>

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Method for Restoring the Orientation of Ocean Bottom Seismometers Using Distant Earthquakes Records

  • Oleg V. Ponomarev,
  • Sergey V. Kolesov,
  • Mikhail A. Nosov

摘要

A method is presented for determining the vertical direction relative to the axes of seismometers installed in seafloor observatories. The method is based on the linear relationship between the vertical component of seafloor acceleration and pressure variations at the ocean bottom, which follows directly from Newton’s second law and holds within the frequency range of forced oscillations. The method’s performance was validated using data from ocean bottom seismometers (accelerometers) and pressure gauges of six S-net stations during three seismic events: Gulf of Alaska Mw 7.9 (23.01.2018), Chignik Mw 8.2 (29.07.2021) and Noto Mw 7.5 (01.01.2024). The results were compared with an independent alternative method, showing discrepancies within 1° for most stations. Compared with gravity-based approaches, the proposed cross-spectral method works for both accelerometers and velocimeters, enabling routine orientation checks for a wider range of OBS networks.