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METHODS article
Front. Earth Sci.
Sec. Solid Earth Geophysics
Volume 13 - 2025 | doi: 10.3389/feart.2025.1555332
This article is part of the Research Topic Advanced Methods for Interpreting Geological and Geophysical Data Volume II View all articles
Study of high-resolution analysis of Rayleigh waves on the basis of the Choi-Williams distribution
Provisionally accepted- Xinjiang Institute of Engineering, Urumqi, China
Rayleigh wave exploration is widely used in the field of engineering investigation, which can analyze the near surface velocity structure. However, the traditional Rayleigh wave exploration data processing method can only provide the average change of Rayleigh wave phase velocity with depth under the seismic line, but cannot obtain the horizontal change of Rayleigh wave phase velocity along the line direction, which brings great challenges to the detection of underground wave velocity anomalies. To solve these problems, the Choi‒Williams distribution is introduced to process Rayleigh waves, and the relationships among the Rayleigh wave time, frequency and amplitude are obtained. The frequency dispersion curve is subsequently calculated via similarity analysis. In this method, first, the Rayleigh wave is intercepted in the time domain. Second, the Choi‒Williams distribution of Rayleigh waves is calculated, and the time domain waveform of each frequency component of each Rayleigh wave is obtained. The time difference is subsequently calculated via similarity analysis, and the dispersion curve between two adjacent channels is obtained. Finally, the phase velocity image below the seismic arrangement is obtained via combination with the multichannel Rayleigh wave dispersion curve. When this method is applied to the detection of geological anomalies in engineering investigations, it can accurately reflect the spatial distribution position of the detection target and has a relatively high lateral resolution.
Keywords: Rayleigh wave, Choi-Williams distribution, high resolution, Similarity analysis, phase velocity imaging
Received: 04 Jan 2025; Accepted: 12 Feb 2025.
Copyright: © 2025 Min, Xuhui, Yuxuan and Xiaoyong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiang Min, Xinjiang Institute of Engineering, Urumqi, China
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