A Composite Fault Model for the 2024 M<sub>W</sub> 7.4 Hualien Earthquake Sequence in Eastern Taiwan Inferred From GNSS and InSAR Data

Abstract On 2 April 2024, an M W 7.4 earthquake struck the northern Longitudinal Valley in eastern Taiwan, about 18 km SSW of Hualien, causing damage and casualties. In this study, we investigated a comprehensive geodetic data set, employing Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) measurements to assess the rupture geometry associated with earthquake sequence. Although geodetic data can be satisfactorily reproduced by simple single‐fault models (i.e., a high‐angle E‐dipping plane related to the Longitudinal Valley Fault (LVF), or a gentle W‐dipping surface associated with the Central Range Fault, CRF), a composite model involving the rupture of different fault segments (a major CRF‐related W‐dipping fault, a deep segment of the E‐dipping LVF, and the Milun Fault) is able to explain the observations, the distribution of seismicity, and the complex structural arrangement of the northernmost sector of the Longitudinal Valley.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-10-19
DOI
https://doi.org/10.1029/2024gl110255
Citations
21
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
11.22

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article

A Composite Fault Model for the 2024 MW 7.4 Hualien Earthquake Sequence in Eastern Taiwan Inferred From GNSS and InSAR Data

Riccardo Caputo, Daniele Cheloni, Annamaria Vicari, Nicola Angelo Famiglietti et al.
21 citations
Geophysical Research Letters
earthquake and tectonic studies
11.22
article

A Composite Fault Model for the 2024 MW 7.4 Hualien Earthquake Sequence in Eastern Taiwan Inferred From GNSS and InSAR Data

Riccardo Caputo, Daniele Cheloni, Annamaria Vicari, Nicola Angelo Famiglietti, Cristiano Tolomei
article en
21 citations

Abstract

Abstract On 2 April 2024, an M W 7.4 earthquake struck the northern Longitudinal Valley in eastern Taiwan, about 18 km SSW of Hualien, causing damage and casualties. In this study, we investigated a comprehensive geodetic data set, employing Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) measurements to assess the rupture geometry associated with earthquake sequence. Although geodetic data can be satisfactorily reproduced by simple single‐fault models (i.e., a high‐angle E‐dipping plane related to the Longitudinal Valley Fault (LVF), or a gentle W‐dipping surface associated with the Central Range Fault, CRF), a composite model involving the rupture of different fault segments (a major CRF‐related W‐dipping fault, a deep segment of the E‐dipping LVF, and the Milun Fault) is able to explain the observations, the distribution of seismicity, and the complex structural arrangement of the northernmost sector of the Longitudinal Valley.

Geophysical Research LettersVol. 51(20)
University of Ferrara (IT), Istituto Nazionale di Geofisica e Vulcanologia (IT), INGV Sezione Irpinia
Istituto Nazionale di Geofisica e Vulcanologia, Japan Aerospace Exploration Agency
Openalex Percentile: Top 1%
earthquake and tectonic studies
11.22
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A Composite Fault Model for the 2024 M<sub>W</sub> 7.4 Hualien Earthquake Sequence in Eastern Taiwan Inferred From GNSS and InSAR Data — Riccardo Caputo, Daniele Cheloni, et al. · Geophysical Research Letters (2024) | TGRS Research Map | TGRS