Extracting Dispersion Spectrum Directly From the High-Speed Train-Induced Seismic Signal
The moving high-speed train (HST) generates strong vibrations in the railway roadbed, causing seismic waves to propagate through the subsurface medium. Consequently, moving HSTs can be considered as a novel seismic source for probing subsurface structures near high-speed railways (HSRs). An HST has several carriages, making it a typical combined moving source that induces a complex interference wavefield. Seismic interferometry (SI) is a commonly used method for generating virtual shot gathers based on background noise, and the phase-shifting method (PS) is commonly used to generate a dispersion spectrum based on the constructed virtual shot gathers. Therefore, SI and PS have been used for constructing virtual shot gathers and further generating the dispersion spectrum in HST-induced seismic signal processing. Although the HST-induced seismic wavefield exhibits complex interference features, it still maintains stable and strong amplitude characteristics. Therefore, we propose a method for directly extracting the dispersion spectrum from the HST-induced seismic signal through time-frequency decomposition and similarity-based velocity scanning. Compared to the commonly used procedure (SI + PS), the proposed method avoids the virtual shot gather construction procedure. The synthetic data example and real data example have shown the proposed method’s effectiveness.
Authors
- Shengpei Xia
- Jingrui Luo (ORCID: https://orcid.org/0000-0001-8809-0466)
- Wenchao Chen (ORCID: https://orcid.org/0000-0003-0696-337X)
- Xiaokai Wang (ORCID: https://orcid.org/0000-0001-5396-985X)
- Xinyue Pan
Institutions
- Xi'an University of Technology (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/lgrs.2024.3509134
- Citations
- 1
- Primary Topic
- Seismic Waves and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.53
Funders
- National Natural Science Foundation of China