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Fine Seismogenic Fault Structures and Complex Rupture Characteristics of the 2022 <i>M</i>6.8 Luding, Sichuan Earthquake Sequence Revealed by Deep Learning and Waveform Modeling

Xu Zhao, Zhuowei Xiao, Wei Wang, Juan Li, Ming Zhao, Shi Chen, Lin Tang

2023Geophysical Research Letters18 citationsDOIOpen Access PDF

Abstract

Abstract An approximate 236‐year interval in major seismic activity near the southern Xianshuihe fault terminated on 5 September 2022 until a destructive M 6.8 Luding earthquake. The strike‐slip mainshock, accompanied by potent normal‐faulting aftershocks, fell short of the previously anticipated M 7+ event. Utilizing deep‐learning and source inversion techniques, we analyzed dense near‐field seismograms to examine detailed fault structures and rupture characteristics. Our high‐quality relocated catalog with 7,388 events revealed that the earthquake ruptured an unmapped multiscale fault network. The analysis of the mainshock and 43 M L ≥ 2.8 aftershocks suggests normal‐faulting events relate to the vertical movement of the Gongga Mountain. The sequence length, seismic gaps, and asperities derived from seismicity and waveform modeling imply that the rupture of the M 6.8 quake was incomplete, indicating a high risk of a future M 6+ event at the northern Moxi segment. These findings hold crucial implications for assessing future seismic hazards in this region.

Topics & Concepts

AftershockSeismologyGeologySeismogramWaveformFault (geology)ForeshockSequence (biology)Induced seismicityPhysicsQuantum mechanicsGeneticsVoltageBiologyearthquake and tectonic studiesSeismology and Earthquake StudiesSeismic Waves and Analysis
Fine Seismogenic Fault Structures and Complex Rupture Characteristics of the 2022 <i>M</i>6.8 Luding, Sichuan Earthquake Sequence Revealed by Deep Learning and Waveform Modeling | Litcius