A hybrid method for calculating near-source, broadband seismograms: Application to strong motion prediction

P. Martin Mai*, G. C. Beroza

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

We present a hybrid method for computing broadband strong motion seismograms in the near-field of large earthquakes. We combine complete seismograms at low-frequency with ray-theory seismograms at high-frequency to form a composite broadband seismogram that spans the entire frequency range of interest. In our approach, the amplitude spectra of the two sets of synthetic seismograms are reconciled at intermediate frequencies where their domain of validity overlaps. We demonstrate the method with scenario earthquakes based on the spatial random-field model for complex earthquake slip [J. Geophys. Res. 107 (B11) (2002) 2308]. The hybrid near-source, broadband seismograms are useful both for detailed source modeling and for incorporating source effects into probabilistic seismic hazard analysis.

Original languageEnglish (US)
Pages (from-to)183-199
Number of pages17
JournalPhysics of the Earth and Planetary Interiors
Volume137
Issue number1-4
DOIs
StatePublished - May 15 2003
Externally publishedYes

Bibliographical note

Funding Information:
Our sincere thanks go to Paul Spudich for putting together the ISOSYN and COPMPSYN packages to calculate finite-fault, near-source seismograms ( Spudich and Xu, 2002 ), and for providing helpful advice in running these programs. Reviews by K. Dan and an anonymous reviewer improved the manuscript. This research was supported by the US–Japan Cooperative Research in Urban Earthquake Disaster Mitigation Project (NSF 98-36), Grant Number CMS-9821096.

Keywords

  • Composite broadband seismograms
  • Near-source ground motion
  • Prediction
  • Scenario earthquakes
  • Strong motion

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Geophysics
  • Physics and Astronomy (miscellaneous)
  • Space and Planetary Science

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