Attenuation tomography using large-scale seafloor and land network data in northeast Japan
Existence of a heterogeneous attenuation structure in northeast Japan has long been documented. Despite this, attenuation structure around the plate boundary in the offshore region could not be examined thoroughly owing to a lack of data. After the 2011 Mw 9.1 Tohoku-oki earthquake, a seafloor network of 150 observatories, known as S-net, was established spanning the entire Japan Trench subduction zone to reinforce infrastructure for earthquake and tsunami early warnings. In the present research, we computed S-wave Fourier spectra of accelerograms from the seafloor and land stations and applied the principle of seismic tomography to retrieve three-dimensional attenuation structure (Qs). Our results showed a prominent low-to-moderate Qs zone near the upper surface of the oceanic plate in the seafloor area, most likely indicating the presence of water-rich oceanic crust and subducted sediments. We also found that the Qs structures in both onshore and offshore regimes are moderately to strongly frequency-dependent. A comprehensive understanding of the frequency-dependent behavior of attenuation structure remains elusive. We anticipate that the findings presented here will contribute to resolving pertinent issues in the field of solid earth science and to a deeper understanding of earthquake hazards in subduction zones.
Authors
- Ryoichi Nakamura (ORCID: https://orcid.org/0000-0002-4854-3579)
- Yadab P. Dhakal (ORCID: https://orcid.org/0000-0002-0399-4843)
- Takashi Kunugi (ORCID: https://orcid.org/0000-0002-7839-5546)
- Shin Aoi (ORCID: https://orcid.org/0000-0003-0174-985X)
Institutions
- Earthquake Engineering Research Institute (US)
- National Research Institute for Earth Science and Disaster Resilience (JP)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1038/s41598-025-21484-7
- Citations
- 1
- Primary Topic
- Seismic Imaging and Inversion Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.87