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Updated: Jul 29, 2025
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Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
Published on: August 5, 2016
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Dynamics, interactions and delays of the 2019 Ridgecrest rupture sequence.
Taufiq Taufiqurrahman1, Alice-Agnes Gabriel2,3, Duo Li1
1Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Munich, Germany.
Nature
|May 24, 2023
Summary
We developed 3D dynamic rupture models for California earthquakes, linking the Searles Valley and Ridgecrest events. Our findings reveal the critical role of fault system interactions, fluids, and stress in earthquake dynamics, improving seismic hazard assessment.
Area of Science:
- Geophysics
- Computational Seismology
- Earthquake Physics
Background:
- Seismic hazard assessment has historically relied on empirical methods due to observational challenges and the complexity of earthquake physics.
- Existing data-driven and physics-based models struggle to fully explain observed earthquake complexities and dynamic behaviors.
Purpose of the Study:
- To create data-assimilated 3D dynamic rupture models for the 2019 Mw 6.4 Searles Valley and Mw 7.1 Ridgecrest earthquake sequence in California.
- To investigate the physical mechanisms linking these major earthquakes and understand the dynamics of complex fault systems.
Main Methods:
- Utilized supercomputing to develop data-assimilated three-dimensional dynamic rupture models.
- Integrated diverse observational datasets including strong-motion, teleseismic, field mapping, high-rate GPS, and space geodesy.
- Applied earthquake physics principles to explain observed seismic and geodetic data.
Main Results:
- Successfully modeled the Searles Valley and Ridgecrest earthquake sequence, revealing connections between the events.
- Identified regional structure, ambient stress, fault system interactions, overpressurized fluids, and low dynamic friction as crucial factors influencing earthquake dynamics and delays.
- Demonstrated the capability of physics-based models to reconcile dense earthquake recordings and 3D structural/stress data.
Conclusions:
- A joint physics-based and data-driven approach is effective for understanding complex fault systems and earthquake sequences.
- Physics-based interpretation of extensive observational data holds transformative potential for geohazard mitigation strategies.
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