Characteristics and controlling factors of seismic site response at a crystalline bedrock site based on quality factor inversion using deep borehole data

This study evaluated epistemic uncertainty in shear-wave velocity (Vs) profiles and variability in shear-wave quality factor (Qs) profiles across broadband frequencies to investigate characteristics and controlling factors of seismic site response at a crystalline bedrock site. This study utilized deep borehole data down to the seismological bedrock at a depth of 2000 m. Multiple invasive measurements were conducted to estimate the Vs profiles. Three-component seismometers were installed at depths of 5, 160, 500, and 2000 m for Qs profiling. A logic tree with 128 analysis patterns was employed to capture the frequency-dependent percentiles of the amplification factor (AF) and the Qs parameter through spectral ratio Qs inversions. AFs from depths of 2000 m to 5 m showed the attenuation effect was dominant in the frequency range above 1 Hz. Sensitivity analysis revealed the dominant effects of the Qs profile below 2 Hz and above 15 Hz and the significant effects of the Vs profile at 2-15 Hz. The median AF curves were robust due to multiple invasive measurements and constraints from reliable seismic records. Local site responses captured from the 2000- m borehole station are expected to contribute to seismic hazard assessments as a reference of crystalline bedrock sites.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-17
DOI
https://doi.org/10.1038/s41598-025-96725-w
Citations
1
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
1.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characteristics and controlling factors of seismic site response at a crystalline bedrock site based on quality factor inversion using deep borehole data

Yoshihiko Ishikawa, H. Sato, Naoki Nishizaka, Yasutomo Yamauchi et al.
1 citations
Scientific Reports
Seismic Imaging and Inversion Techniques
1.87
article

Characteristics and controlling factors of seismic site response at a crystalline bedrock site based on quality factor inversion using deep borehole data

Yoshihiko Ishikawa, H. Sato, Naoki Nishizaka, Yasutomo Yamauchi, Chiaki Nagai‐Okatani, Takeshi Tsuji
article en
1 citations

Abstract

This study evaluated epistemic uncertainty in shear-wave velocity (Vs) profiles and variability in shear-wave quality factor (Qs) profiles across broadband frequencies to investigate characteristics and controlling factors of seismic site response at a crystalline bedrock site. This study utilized deep borehole data down to the seismological bedrock at a depth of 2000 m. Multiple invasive measurements were conducted to estimate the Vs profiles. Three-component seismometers were installed at depths of 5, 160, 500, and 2000 m for Qs profiling. A logic tree with 128 analysis patterns was employed to capture the frequency-dependent percentiles of the amplification factor (AF) and the Qs parameter through spectral ratio Qs inversions. AFs from depths of 2000 m to 5 m showed the attenuation effect was dominant in the frequency range above 1 Hz. Sensitivity analysis revealed the dominant effects of the Qs profile below 2 Hz and above 15 Hz and the significant effects of the Vs profile at 2-15 Hz. The median AF curves were robust due to multiple invasive measurements and constraints from reliable seismic records. Local site responses captured from the 2000- m borehole station are expected to contribute to seismic hazard assessments as a reference of crystalline bedrock sites.

Scientific ReportsVol. 15(1)
Obayashi (Japan) (JP), Central Research Institute of Electric Power Industry (JP), Bunkyo University (JP), Shikoku Research Institute (JP), The University of Tokyo (JP), Nippon Institute of Technology (JP)
Climate action
Openalex Percentile: Top 19%
Seismic Imaging and Inversion Techniques
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.