Incorporation of probabilistic seismic phase labels into a Bayesian multiple-event seismic locator
Journal Article
·
· Geophysical Journal International
OSTI ID:953302
We add probabilistic phase labels to the multiple-event joint probability function of Myers et al., 2007 that formerly included event locations, travel-time corrections, and arrival-time measurement precision. Prior information on any of the multiple-event parameters may be used. The phase-label model includes a null label that captures phases not belonging to the collection of phases under consideration. Using the Markov-Chain Monte Carlo method, samples are drawn from the multiple-event joint probability function to infer the posteriori distribution that is consistent with priors and the arrival-time data set. Using this approach phase-label error can be accessed and phase-label error is propagated to all other multiple-event parameters. We test the method using a ground-truth data set of nuclear explosions at the Nevada Test Site. We find that posteriori phase labels agree with the meticulously analyzed data set in more than 97% of instances and the results are robust even when the input phase-label information is discarded. Only when a large percentage of the arrival-time data are corrupted does prior phase label information improve resolution of multiple-event parameters. Simultaneous modeling of the entire multiple-event system results in accurate posteriori probability regions for each multiple-event parameter.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 953302
- Report Number(s):
- LLNL-JRNL-400630
- Journal Information:
- Geophysical Journal International, Journal Name: Geophysical Journal International Journal Issue: 1 Vol. 177; ISSN 0956-540X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Multiple-Event Location Using the Markov-Chain Monte Carlo Technique
Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data
Hierarchical Bayesian Approach to Locating Seismic Events
Conference
·
Wed Jul 13 00:00:00 EDT 2005
·
OSTI ID:881641
Summer Intern Report: Multiple-Event Seismic Location Using Bayesian Inversion: Case Study Using Newberry Enhanced Geothermal System Data
Technical Report
·
Mon Feb 16 23:00:00 EST 2015
·
OSTI ID:1438634
Hierarchical Bayesian Approach to Locating Seismic Events
Conference
·
Tue Nov 08 23:00:00 EST 2005
·
OSTI ID:888581