|本期目录/Table of Contents|

[1]何菲凡,李庆春*,封一凡,等.基于高速铁路列车震源信号的地震面波干涉方法[J].地球科学与环境学报,2025,47(06):1126-1140.[doi:10.19814/j.jese.2025.03001]
　HE Fei-fan,LI Qing-chun*,FENG Yi-fan,et al.Seismic Surface Wave Interferometric Methods Based on Seismic Source Signals from High-speed Train[J].Journal of Earth Sciences and Environment,2025,47(06):1126-1140.[doi:10.19814/j.jese.2025.03001]
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第47卷
期数:
2025年第06期
页码:
1126-1140
栏目:
应用地球物理
出版日期:
2025-12-10

文章信息/Info

Title:
Seismic Surface Wave Interferometric Methods Based on Seismic Source Signals from High-speed Train
文章编号:
1672-6561(2025)06-1126-15
作者:
何菲凡; 李庆春*; 封一凡; 王鹏起; 郑楚涵
(长安大学 地质工程与测绘学院,陕西 西安 710054)
Author(s):
HE Fei-fan;  LI Qing-chun*;  FENG Yi-fan;  WANG Peng-qi;  ZHENG Chu-han
(School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China)
关键词:
列车振动;  移动震源;  地震波;  干涉方法;  串扰噪声;  虚拟炮集记录;  面波成像
Keywords:
train vibration;  moving seismic source;  seismic wave;  interferometric method;  crosstalk noise;  virtual shot gather;  surface wave imaging
分类号:
P631.4+12; U211.3
DOI:
10.19814/j.jese.2025.03001
文献标志码:
A
摘要:
高速铁路列车震源信号绿色环保、重复稳定,在近地表探测和城市地下空间监测中具有重要应用潜力,但是使用传统地震干涉方法处理时易受串扰噪声严重干扰。为此,提出了一种适用于高速铁路列车震源数据的处理流程,以提高干涉结果的信噪比和反演成像的可靠性。首先,将高速铁路列车视为移动线源,并将轮组作用力等效为点源,构建震源时间函数; 通过对比分析不同干涉方法对高速铁路列车震源数据的适用性,构建了一套包含谱白化、互相干干涉、多趟列车事件叠加及FK滤波变换的数据处理流程。基于该数据处理流程,分别对模拟和实测的高速铁路列车震源数据进行面波信号提取,并利用提取的面波信号开展地下介质速度反演。结果表明:本文提出的数据处理流程能有效抑制串扰噪声,获得高信噪比的虚拟源面波记录,谱白化可提升面波信噪比,互相干干涉方法具有较强的抗串扰能力,多趟列车事件叠加能够重建高频段的面波频散能量,FK滤波变换可凸显面波信号特征; 最终的反演结果与实际地层信息吻合良好,验证了本文提出的数据处理流程的可靠性和有效性。
Abstract:
The seismic source signal generated by high-speed train(HST)is a green, environmentally friendly, and highly repeatable source, demonstrating significant potential for applications in near-surface exploration and urban underground space monitoring. However, when processed using traditional seismic interferometric methods, this signal is often severely contaminated by crosstalk noise. To address this issue, an interferometric processing workflow tailored for HST seismic data is proposed to enhance the signal-to-noise ratio(SNR)of the interferometric results and improve the reliability of subsequent inversion and imaging. First, the HST is treated as a moving line source, with its wheel-rail interaction forces equivalently modeled as a series of point sources to construct the source time function; by comparing the applicability of different interferometric methods for HST seismic data, a comprehensive workflow incorporating spectral whitening, cross-coherence interference, stacking of multiple train events, and FK filtering is developed. Using this workflow, surface wave signals are extracted from both synthetic and field HST seismic data for subsurface shear-wave velocity inversion. The results show that the proposed workflow effectively suppresses crosstalk noise and yields high-SNR virtual-source surface wave records; specifically, spectral whitening improves the SNR of surface waves, cross-coherence interferometry exhibits strong robustness against crosstalk, stacking of multriple train events helps reconstruct dispersion energy at high-frequencies, and FK filtering enhances the characteristics of the surface wave signal; the final inversion results correlate well with actual stratigraphic information, validating the reliability and effectiveness of the proposed workflow.

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备注/Memo

备注/Memo:
收稿日期:2025-03-01; 修回日期:2025-05-13投稿网址:http:∥jese.chd.edu.cn/
基金项目:国家重点研发计划项目(2023YFC3710002); 国家自然科学基金项目(42007178); 湖北省自然科学基金项目(2020CFB463); 泰安市科技计划项目(2020NS292)
*通信作者:刘 伟(1985-),男,湖北仙桃人,副研究员,理学博士,E-mail:wliu@cug.edu.cn。
更新日期/Last Update: 2025-12-10