江西科学2025，Vol.43Issue(5)：839-847,9.DOI:10.13990/j.issn1001-3679.2025.05.004
融合高频GNSS与强震仪数据的2023年土耳其双震事件的同震形变分析
Coseismic Deformation Analysis of the 2023 Turkey Double Earthquake Events by Integrating High-Frequency GNSS and Strong-Motion Data
摘要
Abstract
To improve the accuracy of seismic monitoring and overcome the limitations of sin-gle data sources,this study proposes a coseismic deformation analysis method integrating high-rate GNSS and strong motion seismometer data.For the 2023 Turkey Mw 7.8 and Mw 7.6 double earthquakes event,1 Hz high-frequency GNSS data were first processed using the undifferenced ambiguity resolution method,combined with denoised acceleration records from 16 strong motion stations.A Kalman filter was then employed to fuse the two datasets,leveraging GNSS-derived stable long-period displacements to constrain the high-fre-quency dynamic features of strong motion instruments while mitigating multipath effects and drift errors.The experimental results show that the fused data significantly enhanced the resolution of coseismic displacement and velocity waveforms at three collocated stations(TNC1/TK.6201,ADN2/TK.0118,TUF1/TK.0129).Vertical energy exhibited a distinct spectral peak at 0.07 Hz during seismic events,while S-transform accurately identified horizontal component arrival times,with P-wave propagation velocities ranging from 5.02 to 5.82 km/s.The results demonstrate that this approach effectively integrates the comple-mentary strengths of GNSS and strong motion instruments,extending the monitoring fre-quency band and improving result reliability,providing high-precision data support for earthquake early warning,source mechanism inversion,and engineering safety assessments.关键词
高频GNSS/强震仪/卡尔曼滤波器/同震分析/功率谱分析/S变换Key words
high-frequency GNSS/strong-motion accelerometer/Kalman filter/co-seis-mic analysis/power spectral density analysis/S-transform分类
天文与地球科学引用本文复制引用
朱圣广..融合高频GNSS与强震仪数据的2023年土耳其双震事件的同震形变分析[J].江西科学,2025,43(5):839-847,9.基金项目
江西省自然科学基金项目(20232BAB203073). （20232BAB203073）
