Imaging Multimode Dispersion Curves of Rayleigh and Love Waves From Three-Component Noise Recordings in Urban Environments

With the advancements of three-component seismic instruments, much valuable information about source distributions and subsurface structures can be utilized to improve passive surface-wave imaging with anthropogenic seismic noise in urban environments. Current passive surface-wave methods, however, are mainly concerned with the Rayleigh waves in the vertical (Z) component, often neglecting the useful dispersion information in the radial (R) and transverse (T) components, particularly in higher modes of surface waves. So, we introduced the common-midpoint two-station analysis (CMP-TS) to extract the multimode dispersion curves of Rayleigh and Love waves from three-component noise recordings using multicomponent ambient seismic noise cross-correlations (ZZ, RR, and TT components). Results from synthetic data sets from given models show that the CMP-TS method is able to retrieve higher-mode Rayleigh waves from the RR component and improve the multimode dispersion measurements of Rayleigh waves by the summation of the ZZ and RR spectrograms. Besides, this method can extract multimode dispersion curves of Love waves with high resolution from the TT component. We applied the CMP-TS method to process three-component field data and retrieved the dispersion curves of Rayleigh waves with the fundamental and the first higher modes, as well as Love waves with the fundamental, the first, and second higher modes. The S-wave velocity model is constructed by inverting the fundamental and higher mode data and validated through borehole S-wave velocity measurements.

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Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3579268
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Imaging Multimode Dispersion Curves of Rayleigh and Love Waves From Three-Component Noise Recordings in Urban Environments

Binbin Mi, Jon Fea Pang, Xuben Wang, Bo Guan et al.
IEEE Transactions on Geoscience and Remote Sensing
Seismic Waves and Analysis
article

Imaging Multimode Dispersion Curves of Rayleigh and Love Waves From Three-Component Noise Recordings in Urban Environments

Binbin Mi, Jon Fea Pang, Xuben Wang, Bo Guan, Feng Cheng, Xinhua Chen, Jianghai Xia, Hong Yu
article en

Abstract

With the advancements of three-component seismic instruments, much valuable information about source distributions and subsurface structures can be utilized to improve passive surface-wave imaging with anthropogenic seismic noise in urban environments. Current passive surface-wave methods, however, are mainly concerned with the Rayleigh waves in the vertical (Z) component, often neglecting the useful dispersion information in the radial (R) and transverse (T) components, particularly in higher modes of surface waves. So, we introduced the common-midpoint two-station analysis (CMP-TS) to extract the multimode dispersion curves of Rayleigh and Love waves from three-component noise recordings using multicomponent ambient seismic noise cross-correlations (ZZ, RR, and TT components). Results from synthetic data sets from given models show that the CMP-TS method is able to retrieve higher-mode Rayleigh waves from the RR component and improve the multimode dispersion measurements of Rayleigh waves by the summation of the ZZ and RR spectrograms. Besides, this method can extract multimode dispersion curves of Love waves with high resolution from the TT component. We applied the CMP-TS method to process three-component field data and retrieved the dispersion curves of Rayleigh waves with the fundamental and the first higher modes, as well as Love waves with the fundamental, the first, and second higher modes. The S-wave velocity model is constructed by inverting the fundamental and higher mode data and validated through borehole S-wave velocity measurements.

IEEE Transactions on Geoscience and Remote SensingVol. 63
University of Science and Technology of China (CN), Chengdu University of Technology (CN), Zhejiang University (CN)
Natural Science Foundation of Sichuan Province
Sustainable cities and communities
Openalex Percentile: Top 84%
Seismic Waves and Analysis
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