Assessment of shear wave velocity models in the Southeast Qinghai-Xizang Plateau with full-wave simulation

Various velocity models have been built for Southeast Qinghai-Xizang Plateau with the purpose of revealing the internal dynamics and estimating local seismic hazards. In this study, we use a 3-D full-waveform modeling package to systematically validate three published continental-scale velocity models, that is, Shen2016, FWEA18, and USTClitho1.0, leveraging the ample datasets in Southeast Qinghai-Xizang Plateau region. Travel time residuals and waveform similarities are measured between observed empirical Green’s functions and synthetic waveforms. The results show that the Shen2016 model, derived from traditional surface wave tomography, performs best in fitting Rayleigh waves in the Southeast Qinghai-Xizang Plateau, followed by FWEA18, built from full-waveform inversion of long-period body and surface waves. The USTClitho1.0 model, although inverted from body wave datasets, is comparable with FWEA18 in fitting Rayleigh waves. The results also show that all the models are faster than the ground-truth model and show relatively large travel-time residuals and poor waveform similarities at shorter period bands, possibly caused by small-scale structural heterogeneities in the shallower crust. We further invert the time residuals for spatial velocity residuals and reveal that all three models underestimate the amplitudes of high- and low-velocity anomalies. The underestimated amplitude is up to 4%, which is non-negligible considering that the overall amplitude of anomalies is only 5%−10% in the crust. These results suggest that datasets and the inversion method are both essential to building accurate models and further refinements of these models are necessary.

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Publication Details

Journal
Earthquake Science
Published
2025-04-24
DOI
https://doi.org/10.1016/j.eqs.2025.01.007
Primary Topic
Seismic Waves and Analysis
Type
article
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article

Assessment of shear wave velocity models in the Southeast Qinghai-Xizang Plateau with full-wave simulation

Fenglin Niu, Guoliang Li, Yonghua Li, Kai Tao et al.
Earthquake Science
Seismic Waves and Analysis
article

Assessment of shear wave velocity models in the Southeast Qinghai-Xizang Plateau with full-wave simulation

Fenglin Niu, Guoliang Li, Yonghua Li, Kai Tao, Wenpei Miao
article en

Abstract

Various velocity models have been built for Southeast Qinghai-Xizang Plateau with the purpose of revealing the internal dynamics and estimating local seismic hazards. In this study, we use a 3-D full-waveform modeling package to systematically validate three published continental-scale velocity models, that is, Shen2016, FWEA18, and USTClitho1.0, leveraging the ample datasets in Southeast Qinghai-Xizang Plateau region. Travel time residuals and waveform similarities are measured between observed empirical Green’s functions and synthetic waveforms. The results show that the Shen2016 model, derived from traditional surface wave tomography, performs best in fitting Rayleigh waves in the Southeast Qinghai-Xizang Plateau, followed by FWEA18, built from full-waveform inversion of long-period body and surface waves. The USTClitho1.0 model, although inverted from body wave datasets, is comparable with FWEA18 in fitting Rayleigh waves. The results also show that all the models are faster than the ground-truth model and show relatively large travel-time residuals and poor waveform similarities at shorter period bands, possibly caused by small-scale structural heterogeneities in the shallower crust. We further invert the time residuals for spatial velocity residuals and reveal that all three models underestimate the amplitudes of high- and low-velocity anomalies. The underestimated amplitude is up to 4%, which is non-negligible considering that the overall amplitude of anomalies is only 5%−10% in the crust. These results suggest that datasets and the inversion method are both essential to building accurate models and further refinements of these models are necessary.

Earthquake ScienceVol. 38(3)
Planetary Science Institute (US), Central South University (CN), China University of Petroleum, Beijing (CN), Rice University (US), China Earthquake Administration (CN)
Climate action
Openalex Percentile: Top 89%
Seismic Waves and Analysis
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