Investigating Complex Seismogenic Structures in the Northern Longitudinal Valley, Eastern Taiwan Through an AI-based Catalog of the April 3, 2024 Mw 7.3 Hualien Earthquake
Description:
The Mw 7.3 Hualien earthquake struck the northern Longitudinal Valley in eastern Taiwan on 3 April 2024, causing considerable damage in Hualien City and widespread strong shaking across Taiwan. Over the following month, intense and prolonged aftershock activity occurred and reveal complex spatial geometry, indicating complicated tectonic structures in the northern Longitudinal Valley. The high frequency of the aftershocks poses serious challenges to manual picking routines and may delay further analyses. To address these challenges, we developed an automated workflow, AutoQuake, capable of handling the large volume of continuous waveform data using fine-tuned AI algorithms. AutoQuake pipelines phase picking, phase association, 3-D double-difference relocation, local magnitude estimation, and focal mechanism determination in one seamless process to generate a high-quality, more complete event catalog. This AI-based catalog demonstrates exceptional performance in detecting small earthquakes and is more than four times larger than the routine catalog from the local agency. The new catalog reveals two west-dipping and two east-dipping fault planes, shedding light on the intricate fault structures and interactions between the Central Range Fault (CRF) and the Longitudinal Valley Fault (LVF) systems in the northern Longitudinal Valley. This study demonstrates the potential of AI-based workflows in managing large datasets and providing a more timely response to major earthquake sequences, facilitating the investigation of complex seismogenic structures and further seismic hazard assessment in the region.
Session: Building and Decoding High-resolution Earthquake Catalogs With Statistical and Machine-learning Tools [Poster]
Type: Poster
Date: 4/15/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Hsiang-Yu
Student Presenter: No
Invited Presentation:
Poster Number: 41
Authors
Hsiang-Yu Yang Presenting Author Corresponding Author patrick.yang880612@gmail.com Academia Sinica |
En-Shih Wu masugito19951011@gmail.com Academia Sinica |
Hsi-An Chen gn01748695@gmail.com Academia Sinica |
Cheng-Nan Liu Cheng-Nan.Liu@utah.edu University of Utah |
Yu-Fang Hsu yufanghs@usc.edu University of Southern California |
Hsin-Hua Huang hhhuang@earth.sinica.edu.tw Academia Sinica |
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Investigating Complex Seismogenic Structures in the Northern Longitudinal Valley, Eastern Taiwan Through an AI-based Catalog of the April 3, 2024 Mw 7.3 Hualien Earthquake
Category
Building and Decoding High-resolution Earthquake Catalogs With Statistical and Machine-learning Tools