Modeling and validation of broadband P-waves in semi-stochastic models of large earthquakes
Abstract
The development of robust earthquake and tsunami hazard response, including ground motion prediction for early warning systems, requires diverse datasets for testing and validation of operational methods. Observational datasets are especially scarce for large magnitude earthquakes; thus, the performance of rapid response systems for the greatest events is not well understood. Scenario ruptures and physically-realistic synthetic waveforms are a necessary substitute for observations to allow validation and improvement upon existing practices. We present a tool for the generation of synthetic seismic waveforms using a combination of deterministic and stochastic methods to create a broadband seismogram that includes physically realistic P-waves, which will ultimately benefit ground motion-based early warning practices. P-waves have only recently been included in stochastic ground motion methods (e.g. Frankel et al., 2018), however, physical validation of synthetics that include stochastic P-waves has yet to be addressed. Here we validate these broadband waveforms in two ways: (1) we create rupture models and associated synthetic seismograms modeled after the 2014 Mw8.1 Iquique, Chile earthquake. We compare to seismic observations in both time and frequency domains and verify that the P-wave amplitude growth in the first ~10 seconds mimics that of the observations; (2) we produce broadband synthetic waveforms for a variety of input ruptures of different magnitudes, and compare to previous evaluations of P-wave amplitude growth patterns (e.g. Trugman et al., 2019). We demonstrate with these validations that these broadband, semi-stochastic, synthetic seismograms are physically realistic and can therefore be integrated into testing for ground motion and early warning applications.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.S33A..02G
- Keywords:
-
- 7209 Earthquake dynamics;
- SEISMOLOGY;
- 7212 Earthquake ground motions and engineering seismology;
- SEISMOLOGY;
- 7215 Earthquake source observations;
- SEISMOLOGY;
- 7290 Computational seismology;
- SEISMOLOGY