Integrated stochastic finite-fault simulation of near-fault ground motions: application to the 2013 MW 6.7 Lushan earthquake

6.7 Lushan thrust earthquake, together with regionalized attenuation and site parameters, against recorded strong-motion data at 18 near-field stations. Results demonstrate that GMSS accurately reproduces observed Fourier amplitude spectra (FAS), 5%-damped Pseudo-acceleration response spectra (PSA), and peak ground acceleration (PGA). The incorporation of non-stationary phase characteristics markedly improves the time-domain envelope and phase realism of synthetic waveforms, enhancing the physical fidelity and predictive accuracy of broadband ground-motion simulation. The GMSS framework therefore provides a practical tool for stochastic finite-fault simulation and seismic hazard assessment in regions lacking abundant strong-motion records. Nevertheless, both methods still show limited performance in the low-frequency range below 1 Hz.

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Publication Details

Journal
Scientific Reports
Published
2026-05-11
DOI
https://doi.org/10.1038/s41598-026-49499-8
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
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article

Integrated stochastic finite-fault simulation of near-fault ground motions: application to the 2013 MW 6.7 Lushan earthquake

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Scientific Reports
Seismic Performance and Analysis
article

Integrated stochastic finite-fault simulation of near-fault ground motions: application to the 2013 MW 6.7 Lushan earthquake

Dongdong Yuan, Chen Wang, Xueliang Chen, Lijun Qiu, Chenyue Hu
article en

Abstract

6.7 Lushan thrust earthquake, together with regionalized attenuation and site parameters, against recorded strong-motion data at 18 near-field stations. Results demonstrate that GMSS accurately reproduces observed Fourier amplitude spectra (FAS), 5%-damped Pseudo-acceleration response spectra (PSA), and peak ground acceleration (PGA). The incorporation of non-stationary phase characteristics markedly improves the time-domain envelope and phase realism of synthetic waveforms, enhancing the physical fidelity and predictive accuracy of broadband ground-motion simulation. The GMSS framework therefore provides a practical tool for stochastic finite-fault simulation and seismic hazard assessment in regions lacking abundant strong-motion records. Nevertheless, both methods still show limited performance in the low-frequency range below 1 Hz.

Scientific Reports
National Centre for Earth Observation (GB), China Earthquake Administration (CN)
Institute of Geophysics, China Earthquake Administration, National Natural Science Foundation of China, Key Technologies Research and Development Program
Climate action
Openalex Percentile: Top 9%
Seismic Performance and Analysis
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