Deep learning-based earthquake catalog reveals the seismogenic structures of the 2022 MW 6.9 Chihshang earthquake sequence

Wei‐Fang Sun1, Sheng-Yan Pan1, Chang-Jen Huang1, Zhuo-Kang Guan1, I-Chin Yen2, Cheng-Seen Ho3, Tsung-Chih Chi4, Cheng-Yuan Ku4, Bor‐Shouh Huang4, Ching‐Chou Fu4, Hao Kuo-Chen1
1Department of Geosciences, National Taiwan University, No. 1. Sec. 4. Roosevelt Rd., Taipei, 106, Taiwan
2YIC Geological Office, Penghu, 880, Taiwan
3Seismological Center, Central Weather Administration, Taipei, 100, Taiwan
4Institute of Earth Sciences, Academia Sinica, Taipei 115, Taiwan

Tóm tắt

AbstractOn 18 September 2022, the MW 6.9 Chihshang earthquake struck the south half of the Longitudinal Valley, Taiwan, and caused severe damage. A precise and rapid report for the distribution of aftershock sequence after a devastating earthquake provides key information for deciphering the seismogenic structure in the source region. The utilization of deep-learning methodologies for earthquake event detection offers a significant acceleration in data analysis. In this study, we use SeisBlue, a deep-learning platform/package, to extract the whole earthquake sequence from September to October 2022, including the MW 6.5 Guanshan foreshock, the MW 6.9 mainshock, over 14,000 aftershocks, and 866 foal mechanisms from two sets of broadband networks. After applying hypoDD for earthquakes, the distribution of aftershock sequence clearly depicts not only the Central Range Fault and the Longitudinal Valley Fault but also several local, shallow tectonic structures that have not been observed along the southern Longitudinal Valley.

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