Effect of lateral heterogeneity on 2-D Rayleigh wave ZH ratio sensitivity kernels based on the adjoint method: Synthetic and inversion examples

Lei, Ting; Yao, Huajian; Zhang, Chao

doi:10.26464/epp2020050

Cited by 2 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DD traveltime kernel (Figures 3b and 3c), contrasting with the long-path AD traveltime kernel (Figure 3a), demonstrates its localization of sensitivity near the station pair. This specific attribute, comparable to the Rayleigh wave ZH ratio (Lei et al, 2020), is hypothesized to be highly effective in resolving small-scale anomalies and complex lateral structures.…”

Section: Adjoint Tomography: Double Difference (Dd)mentioning

confidence: 97%

“…This approach has seen varied applications, such as in surface waves (C. Zhang, Yao, Liu, et al, 2018), body waves (Y. Wang et al, 2016), and the Rayleigh wave ZH ratio (Lei et al, 2020). In surface wave applications, the accuracy of tomography using traveltimes from ambient noise surface waves is often limited and influenced by noise source distribution (Fichtner, 2015;Tromp et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…However, the significant computational costs and storage demands of 3‐D adjoint tomography (Bozdağ et al., 2016; H. Zhu et al., 2015) led to the adoption of linear array adjoint tomography with 2‐D full‐wave simulations in dense linear array settings. This approach has seen varied applications, such as in surface waves (C. Zhang, Yao, Liu, et al., 2018), body waves (Y. Wang et al., 2016), and the Rayleigh wave ZH ratio (Lei et al., 2020). In surface wave applications, the accuracy of tomography using traveltimes from ambient noise surface waves is often limited and influenced by noise source distribution (Fichtner, 2015; Tromp et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Linear Array Double Difference Adjoint Ambient Noise Tomography of the Central Tanlu Fault Zone, Eastern China

Yan,

Yao,

Lei

et al. 2024

JGR Solid Earth

Self Cite

View full text Add to dashboard Cite

In response to the need for high‐resolution imaging of shallow crustal structure, we present a linear array double‐difference (DD) adjoint tomography method, using DD Rayleigh wave traveltime measurements for enhanced spatial resolution. This method, validated through synthetic experiments, improves velocity anomaly detection with fewer iterations compared to absolute traveltime measurements. Applied to data from four linear seismic arrays in the central Tanlu fault zone (TLFZ) in the eastern China, our approach integrated both DD and absolute difference (AD) of adjoint traveltime measurements. We performed cluster analysis for data quality control, reducing data outliers and increasing reliability, particularly in suppressing cycle skipping for short‐period measurements. The resulting high‐resolution S‐wave velocity profiles in the shallow crust well delineate geological structures, revealing a continuous low‐velocity anomaly beneath the eastern branch of TLFZ. Our comparative analysis with the southern segment of TLFZ further highlights the segmented nature of the fault zone structure. These variations might suggest a dominant influence of deep magmatic processes due to destruction of the North China Craton. Our study links shallow structural features to deeper geodynamic activities, emphasizing the role of TLFZ as a critical tectonic boundary.

show abstract

Section: Adjoint Tomography: Double Difference (Dd)mentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Linear Array Double Difference Adjoint Ambient Noise Tomography of the Central Tanlu Fault Zone, Eastern China

Yan,

Yao,

Lei

et al. 2024

JGR Solid Earth

Self Cite

View full text Add to dashboard Cite

show abstract

Determination of near-surface shear-velocity structure based on the joint inversion of Rayleigh-wave dispersion and ellipticity from multistation active-seismic records

Xiaofei

et al. 2022

GEOPHYSICS

View full text Add to dashboard Cite

The dispersive characteristics of high-frequency (≥2 Hz) Rayleigh waves have been widely applied to determine subsurface shear velocity ( VS). However, the VS of the high-velocity surface layers (e.g., rigid roads in urban areas) and underlying layers is poorly constrained in the Rayleigh-wave dispersion inversion. Compared to the phase velocity, the Rayleigh-wave horizontal-to-vertical (H/V) ratios of particle motion (i.e., ellipticity) are particularly sensitive to shallow VS structures. Therefore, we have proposed a robust method for obtaining near-surface VS structures by inverting Rayleigh-wave dispersion and H/V data. Initially, we separate the fundamental-mode Rayleigh wave from the active-seismic records using a high-resolution linear Radon transformation method. Then, we extract the high-frequency H/V and interstation phase traveltimes from the separated fundamental mode using deconvolution interferometry and the frequency-time analysis method. Based on the phase traveltimes, we calculate the phase velocity dispersion using ray-based tomography. Finally, we perform the joint inversion of dispersion and H/V data to obtain the VS structure. According to the inversion results of synthetic and field data, the accuracy of the VS in the rigid surface layer and underlying layers is considerably improved. We find that the joint inversion of Rayleigh-wave phase velocity dispersion and H/V data from surface-wave surveys is a useful tool for accurately determining the complex shallow VS structures.

show abstract

Effect of lateral heterogeneity on 2-D Rayleigh wave ZH ratio sensitivity kernels based on the adjoint method: Synthetic and inversion examples

Abstract: 2-D Rayleigh wave ZH ratio sensitivity kernels are calculated using the adjoint method q Lateral heterogeneity has a significant impact on ZH ratio sensitivity kernels q Adjoint tomography using 2-D ZH ratio kernels can resolve small anomalies as well as complex lateral structures q

Cited by 2 publications

References 35 publications

Linear Array Double Difference Adjoint Ambient Noise Tomography of the Central Tanlu Fault Zone, Eastern China

Linear Array Double Difference Adjoint Ambient Noise Tomography of the Central Tanlu Fault Zone, Eastern China

Determination of near-surface shear-velocity structure based on the joint inversion of Rayleigh-wave dispersion and ellipticity from multistation active-seismic records

Contact Info

Product

Resources

About