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Spatiotemporal Variations of the Frequency-Magnitude Distribution in the 2019 Mw 7.1 Ridgecrest, California,
Eirini Sardeli1, Georgios Michas1, Kyriaki Pavlou1
1Section of Geophysics-Geothermics, Department of Geology and Geoenvironment, National and Kapodistrian University of Athens, 15772 Athens, Greece.
The fragment-asperity model reveals seismic activity in Ridgecrest, California. A rise in the q parameter indicates the system preparing for significant seismic energy release.
Area of Science:
- Geophysics
- Statistical Physics
- Seismology
Background:
- Ridgecrest, California has experienced significant seismic activity over 40 years, including a Mw 7.1 earthquake in July 2019.
- The Mw 7.1 Ridgecrest earthquake was preceded by a Mw 6.4 foreshock and followed by thousands of aftershocks.
Purpose of the Study:
- Analyze spatiotemporal variations in the frequency-magnitude distribution in Ridgecrest.
- Investigate the relationship between the q parameter and seismic activity dynamics using the fragment-asperity model.
- Examine q value distributions along the fault zone before and after the Mw 7.1 earthquake.
Main Methods:
- Applied the fragment-asperity model from non-extensive statistical physics (NESP).
- Analyzed seismic data from 1981-2022, including specific time windows and monthly intervals post-earthquake.
- Estimated the q parameter to understand its correlation with seismic activity evolution.
Main Results:
- Observed significant increases in the q parameter correlating with large-magnitude earthquakes.
- Demonstrated the utility of the fragment-asperity model for complex dynamic systems.
- Mapped spatiotemporal q value distributions along the activated fault zone.
Conclusions:
- The q parameter's increase suggests a transition to an out-of-equilibrium phase preceding seismic energy release.
- Non-extensive statistical physics provides valuable insights into earthquake dynamics.
- The study highlights the predictive potential of analyzing frequency-magnitude distribution variations.
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