Abstract
Deep seismic reflection (DSR) profiling is an effective technique for mapping subsurface structures. Generally, reflections in DSR data are used to constrain underground structures at the crustal scale. In addition to reflections, surface waves in DSR data can be used to investigate shallow/near-surface structures. In this study, we extracted multimodal dispersion curves and estimated their uncertainties from the DSR data in the Beijing Plain, North China, using the frequency-Bessel transform method. Compared to other surface wave surveys conducted in this area, the dispersion curves obtained from DSR data have a unique frequency band, which enables an accurate image of the structure to a depth of 200 m. The 2-D shear wave velocity model obtained by surface wave inversion is consistent with the borehole data and existing shallow/near-surface geophysical studies, which can effectively resolve the faults in the study area. Given the extensive deployment of DSR surveys worldwide and the potential of DSR surface wave analysis, we believe that the development of DSR surface wave analysis could be highly beneficial.
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Data Availability
The waveform data can be requested from Seismic Active Fault Survey Data Center (https://www.activefault-datacenter.cn/). The F-J spectrogram calculation is implemented by CC-FJpy (Li et al. 2021a, b), which can be accessed from https://doi.org/10.1785/0220210042.
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Acknowledgements
We are grateful to the colleagues in Geophysical Exploration Center, China Earthquake Administration, who collected the DSR data. We also thank the colleagues in Beijing Earthquake Administration for their work on active fault detection, and we mapped the faults in Beijing Plain based on their work. This work is supported by the National Natural Science Foundation of China (Grant No. 92155307, U1901602, 42104048, 42274193), the National Key Research and Development Program of China (Grant 2022YFC3102200), Key Laboratory of Deep Offshore Oil and Gas Exploration Technology (Grant ZDSYS20190902093007855), Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology (2022B1212010002), the leading talents of Guangdong province program (Grant 2016LJ06N652) and the Shenzhen Science and Technology Program (Grant KQTD20170810111725321).
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Guo, W., Li, Z., Zhao, S. et al. Characterizing Shallow/Near-Surface Structures from Surface Waves in Deep Seismic Reflection Data. Surv Geophys 45, 409–427 (2024). https://doi.org/10.1007/s10712-023-09809-5
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DOI: https://doi.org/10.1007/s10712-023-09809-5