Performance evaluation of the USGS velocity model for the San Francisco Bay Area

In this study, we evaluated the performance of the United States Geological Survey velocity model developed for the San Francisco Bay Area (SFBA), version 21.1. The evaluation was performed through high‐resolution three‐dimensional physics‐based ground motion simulations of seven small‐magnitude earthquakes (ranging from magnitude 3.8 to 4.4) that occurred on the eastern side of the San Francisco Bay. The simulations were performed in the frequency range from 0 to 5 Hz with a minimum shear‐wave velocity of 250 m/s, which allowed the capture of wave propagation effects of the near‐surface soft materials that characterize local basins. Based on the direct comparison of Fourier amplitude spectra between recorded and simulated ground motions for more than 250 stations, we found that the velocity model generally performs well in the frequency range of 0.2–5 Hz. The median value of the Fourier amplitude residuals was found to be near zero for all seven earthquakes. The slight over‐prediction of 0.2 log‐natural units at frequencies above 3 Hz in our simulations was attributed to the potentially inaccurate representation of the source radiation pattern by a double‐couple point source model, and simple representation of shallow small‐scale underground structural complexity in the velocity model. Maps of spectral amplitude differences between the simulated and recorded data were used to identify areas responsible for systematic ground motion over‐predictions or under‐predictions. For example, while some sub‐domains over soft sediments show over‐prediction patterns, the block east of the Hayward fault is prone to exhibit patterns of under‐prediction. These maps can be used to guide future refinements of the SFBA velocity model. Since our simulation methodology allows for the decoupling of the source and wave propagation effects, the ground motion data generated by our simulations can also be used to quantify the epistemic uncertainty due to the velocity model, in empirically based ground motion estimates for the SFBA.

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Publication Details

Journal
Earthquake Spectra
Published
2024-10-17
DOI
https://doi.org/10.1177/87552930241270575
Citations
8
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
2.09
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article

Performance evaluation of the USGS velocity model for the San Francisco Bay Area

Rie Nakata, Arben Pitarka, Camilo Pinilla-Ramos, David McCallen M. EERI
8 citations
Earthquake Spectra
Seismic Performance and Analysis
2.09
article

Performance evaluation of the USGS velocity model for the San Francisco Bay Area

Rie Nakata, Arben Pitarka, Camilo Pinilla-Ramos, David McCallen M. EERI
article en
8 citations

Abstract

In this study, we evaluated the performance of the United States Geological Survey velocity model developed for the San Francisco Bay Area (SFBA), version 21.1. The evaluation was performed through high‐resolution three‐dimensional physics‐based ground motion simulations of seven small‐magnitude earthquakes (ranging from magnitude 3.8 to 4.4) that occurred on the eastern side of the San Francisco Bay. The simulations were performed in the frequency range from 0 to 5 Hz with a minimum shear‐wave velocity of 250 m/s, which allowed the capture of wave propagation effects of the near‐surface soft materials that characterize local basins. Based on the direct comparison of Fourier amplitude spectra between recorded and simulated ground motions for more than 250 stations, we found that the velocity model generally performs well in the frequency range of 0.2–5 Hz. The median value of the Fourier amplitude residuals was found to be near zero for all seven earthquakes. The slight over‐prediction of 0.2 log‐natural units at frequencies above 3 Hz in our simulations was attributed to the potentially inaccurate representation of the source radiation pattern by a double‐couple point source model, and simple representation of shallow small‐scale underground structural complexity in the velocity model. Maps of spectral amplitude differences between the simulated and recorded data were used to identify areas responsible for systematic ground motion over‐predictions or under‐predictions. For example, while some sub‐domains over soft sediments show over‐prediction patterns, the block east of the Hayward fault is prone to exhibit patterns of under‐prediction. These maps can be used to guide future refinements of the SFBA velocity model. Since our simulation methodology allows for the decoupling of the source and wave propagation effects, the ground motion data generated by our simulations can also be used to quantify the epistemic uncertainty due to the velocity model, in empirically based ground motion estimates for the SFBA.

Earthquake SpectraVol. 41(1)
Lawrence Livermore National Laboratory (US), Lawrence Berkeley National Laboratory (US)
Openalex Percentile: Top 14%
Seismic Performance and Analysis
2.09
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