Validation of 3D velocity models using earthquakes with shallow slip: Case study of the 2014 Mw 6.0 South Napa, California, event

Walter Imperatori, František Gallovič

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

3D velocity models constitute a key element in strong ground motion modeling, for example, earthquake-hazard assessment. Their validation is typically based on modeling weak earthquakes with foci limited to depths greater than ~5 km. However, ruptures during moderate and large earthquakes can propagate to shallower depths (and eventually reach the surface). For such shallow sources, velocity models may not be validated with sufficient accuracy. In this respect, we conduct a series of tests based on the 2014 Mw 6.0 South Napa earthquake, which was characterized by a very shallow slip asperity, to assess the performance of the U.S. Geological Survey 3D San Francisco Bay area velocity model within 20-km fault distance. Our study indicates that the velocity model performs generally well with some exceptions, in which large-amplitude surface waves not present in the observed data are systematically excited. We conclude that more complex fault geometries or slightly deeper slip would not result in a better fit of the observed data. Contrarily, we demonstrate that smoothing the velocity model (i.e., reducing the strong velocity contrasts between basin fill and bedrock) effectively attenuates the spurious oscillations.
Original languageEnglish (US)
Pages (from-to)1019-1026
Number of pages8
JournalBULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
Volume107
Issue number2
DOIs
StatePublished - Jan 17 2017
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-08
Acknowledgements: W. I. was supported through a contract with the Swiss Federal Nuclear Safety Inspectorate (ENSI). F. G. was supported by the Czech Science Foundation project 14-04372S. Calculations were carried out at the Swiss Supercomputing Center (SCSC) and the King Abdullah University of Science and Technology (KAUST) Supercomputing Laboratory. Constructive reviews by Shengji Wei and an anonymous reviewer led to improvements in the article.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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