Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2019, Vol. 55 ›› Issue (5): 850-858.DOI: 10.13209/j.0479-8023.2019.077

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4D Ground Frequency Map: Concept and Application

JIANG Yiran1,2, LIANG Xuan2,3, NING Jieyuan1,2,†, BAO Tiezhao1,2, ZHANG Xianbing1   

  1. 1. School of Earth and Space Sciences, Peking University, Beijing 100871 2. The Joint Research Group of High-Speed Rail Seismology, Beijing 100029 3. College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100
  • Received:2019-07-29 Revised:2019-08-13 Online:2019-09-20 Published:2019-09-20
  • Contact: NING Zhiyuan, E-mail: njy(at)


蒋一然1,2, 梁萱2,3, 宁杰远1,2,†, 鲍铁钊1,2, 张献兵1   

  1. 1. 北京大学地球与空间科学学院, 北京 100871 2. 高铁地震学联合研究组, 北京 100029 3. 长江大学地球物理与石油资源学院, 武汉 430100
  • 通讯作者: 宁杰远, E-mail: njy(at)
  • 基金资助:


Based on the data from the array deployed by Peking University around high-speed rail in Baoding City, Hebei Province, China, in order to obtain spectra with higher signal to noise ratio at farther stations, the paper considers the variation of train type and stacks the spectra of three components of high-speed rail seismic signal produced by the same type trains on the same station. Using the clustering algorithm, the regular pattern of how the three component spectra vary with the train type and station position is obtained. Based on the characteristics of high-speed rail seismic spectra and their variation, we propose the concept of 4D ground-frequency map, and discuss its practicability in monitoring the status of high-speed rail and its surrounding media.

Key words: high-speed rail seismic signal, 4D ground-frequency map, clustering algorithm


基于北京大学在河北保定地区高铁线路附近布设的台阵数据, 在考虑车型变化的情况下, 采用基频对齐的方法, 将同一台站上相同类型列车激发的高铁地震信号三分量的频谱分别叠加起来, 可在更远的台站上获得更高信噪比的频谱。使用聚类算法, 得到不同车型对应的三分量频谱随台站位置的变化规律。基于高铁地震频谱特征及其变化规律, 提出4D 地频图的概念, 并讨论其监测高铁及周边介质的可用性。

关键词: 高铁地震信号, 4D 地频图, 聚类