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Three-Dimensional Urban Subsurface Space Tomography with Dense Ambient Noise Seismic Array

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Abstract

Two-dimensional dense seismic ambient noise array techniques have been widely used to image and monitor subsurface structure characterization in complex urban environments. It does not have limitations in the layout under the limitation of urban space, which is more suitable for 3D S-velocity imaging. In traditional ambient seismic noise tomography, the narrowband filtering (NBF) method has many possible dispersion branches. Aliases would appear in the dispersive image, and the dispersion curve inversion also depends on the initial model. To obtain high-accuracy 3D S-velocity imaging in urban seismology, we developed a robust workflow of data processing and S-velocity tomography for 2D dense ambient noise arrays. Firstly, differing from the NBF method, we adopt the continuous wavelet transform (CWT) as an alternative method to measure the phase velocity from the interstation noise cross-correlation function (NCF) without 2π ambiguity. Then, we proposed the sequential dispersion curve inversion (DCI) strategy, which combines the Dix linear inversion and preconditioned fast descent (PFD) method to invert the S-velocity structure without prior information. Finally, the 3D S-velocity model is generated by the 3D spatial interpolation. The proposed workflow is applied to the 2D dense ambient seismic array dataset in Changchun City. The quality evaluation methods include residual iteration error, horizontal-to-vertical spectral ratio (HVSR) map, and electrical resistivity tomography (ERT). All tests indicate that the developed workflow provides a reliable 3D S-velocity model, which offers a reference for urban subsurface space exploration.

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Acknowledgements

These works are supported by the Natural Science Foundation of China (42174065, 42222407) and Jilin Provincial Department of Education's scientific research project (JJKH20241295KJ).

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Authors and Affiliations

  1. College of Geoexploration Science and Technology, Jilin University, Changchun, 130026, China

    Ruizhe Sun, Jing Li, Hui Liu & Lige Bai

  2. Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun, 130026, China

    Jing Li

  3. Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, 518055, China

    Yingwei Yan

  4. School of Geophysics and Information Technology, China University of Geosciences, Beijing, 100083, China

    Yuqing Chen

  5. Key Laboratory of Intraplate Volcanoes and Earthquakes, Ministry of Education, China University of Geosciences (Beijing), Beijing, 100083, China

    Yuqing Chen

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  1. Ruizhe Sun
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Sun, R., Li, J., Yan, Y. et al. Three-Dimensional Urban Subsurface Space Tomography with Dense Ambient Noise Seismic Array. Surv Geophys (2024). https://doi.org/10.1007/s10712-023-09819-3

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