USGS Science⌕ Search

USGS · 70283579

Simulations of earthquakes in California with multiple velocity models

Abstract

Estimating seismic hazard using 3D earthquake simulations of moderate‐to‐large magnitude events is becoming a reality. In this study, we further this endeavor by simulating seismic wavefields for five earthquakes in California, United States, and evaluating their pseudospectral acceleration at periods of 2, 5, and 10 s. We compare results from the recently developed U.S. Geological Survey (USGS) National Crustal Model with three well‐established and validated regional community velocity models (CVMs): two CVMs for Southern California (CVMS4.26.M01 and CVMH15.1.0) and the USGS San Francisco Bay region 3D CVM. A minimum shear‐wave velocity of 500 m/s is imposed in all four of the velocity models. We use finite‐difference calculations to simulate the earthquakes and specify a grid and timestep capable of resolving periods down to 1 s. For our simulations, we find that for each earthquake, the available velocity models produce broadly similar amplitudes and patterns of earthquake ground motions. Use of the 3D velocity models generally perform better than ergodic ground‐motion models, and variability in the results between earthquakes may indicate a combination of factors including uncertainty in earthquake magnitude and source parameterization, signal‐to‐noise ratio in the observed time series, and the lack of fault damage zones, topography, and other features in the computational seismic velocity models. Of particular note, we find that for most cases, averaging the ground motions for all available velocity models outperforms the ground‐motion results from any single velocity model. Our results indicate that the 3D models considered in this study can be sufficiently independent and have enough predictive power that their combination could be used to improve estimates of earthquake ground motions.

Explore related subjects

90° N90° S · 180° W ← longitude → 180° E
Source-reported bounding extent: 32.534156° to 42.009247° latitude; -124.409591° to -114.134768° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Oliver S. Boyd, Robert Graves, Evan Tyler Hirakawa. 2026-08-20. Simulations of earthquakes in California with multiple velocity models. https://doi.org/10.1785/0120260056

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related USGS reports

Re-evaluation of shaking, dynamic strain, and the source of the 1886 Charleston, South Carolina, earthquake

As the largest historical event in the eastern United States, the 1886 Charleston, South Carolina, earthquake, plays a prominent role in our nation’s seismological and human history and an outsized role in our probabilistic ground‐motion hazard estimates, affecting building codes, insurance rates, and geophysical monitoring. Thus, constraining the characteristics of the 1886 earthquake source, as well as the nature of its shaking distribution and impacts to the extent possible, is essential. Given its vintage, however, societal, geological, and geophysical datasets are limited compared with those used in modern seismological analyses. Because of these limitations, some characteristics of the rupture model are fundamentally nonunique. Still, by re‐evaluating all available data, I can constrain several key aspects of this earthquake. I show that several interpretations in recent analyses are inconsistent regarding the inferred source; shaking; ground failure; and, particularly, railway impacts. Importantly, I have shown that although dynamic strain caused the ground failure that led to track deformation, without the intermediate liquefaction step, dynamic strain alone was unlikely to be the source of rail deformation, contrary to earlier studies. Had earlier pronouncements that dynamic strain is a real concern for bending railways held true, there would be serious ramifications for railway engineering as well as for other above‐ and below‐ground linear infrastructure.

South Carolina↗

ETAS-positive: Extracting unbiased epidemic-type aftershock models from incomplete earthquake catalogs

Earthquake catalogs are inherently incomplete, and short-term fluctuations in catalog completeness can strongly bias estimates of seismicity parameters. Here, we extend the positive statistics framework recently introduced for estimating Gutenberg–Richter a and b values to the Epidemic-Type Aftershock Sequence (ETAS) model. The approach focuses on complete magnitude–time intervals defined by pairs of earthquakes in which the second event is larger than the first. Comprehensive synthetic tests demonstrate that the proposed ETAS + method retrieves nearly unbiased parameter estimates even from highly incomplete catalogs, whereas parameters obtained using classical estimation approaches are strongly biased. Application to Southern California reveals a similar trend, with the productivity scaling parameter α approaching the b value, consistent with self-similar earthquake triggering within estimation uncertainties. Owing to its robustness against catalog incompleteness and computational efficiency, the ETAS + method provides a powerful new tool for seismicity analysis and earthquake forecasting.

California↗