Reconstructing Urban Subsurface Structures by Using Metro Signals

Summary The background noise imaging method has been well applied in urban environments. In recent years, high-speed train vibration has become a new seismic source for subsurface exploration. The metro is similar to high-speed train with the advantages of food repeatability and wide distribution. And the metro is mainly distributed in cities, so it has great potential for urban underground imaging. Based on the characteristics of buried seismic sources, we derive a formula for the stationary phase zone of the metro. We deployed a linear array approximately perpendicular to a metro line in Wuhan. By stacking the results of different metro events, the clear Rayleigh surface can be extracted. The extracted Rayleigh waves are used to estimate S-wave velocity structure down to about 100 m depth.

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Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.202572096
Primary Topic
BIM and Construction Integration
Type
article
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article

Reconstructing Urban Subsurface Structures by Using Metro Signals

Yudi Pan, Teng Wang
BIM and Construction Integration
article

Reconstructing Urban Subsurface Structures by Using Metro Signals

Yudi Pan, Teng Wang
article en

Abstract

Summary The background noise imaging method has been well applied in urban environments. In recent years, high-speed train vibration has become a new seismic source for subsurface exploration. The metro is similar to high-speed train with the advantages of food repeatability and wide distribution. And the metro is mainly distributed in cities, so it has great potential for urban underground imaging. Based on the characteristics of buried seismic sources, we derive a formula for the stationary phase zone of the metro. We deployed a linear array approximately perpendicular to a metro line in Wuhan. By stacking the results of different metro events, the clear Rayleigh surface can be extracted. The extracted Rayleigh waves are used to estimate S-wave velocity structure down to about 100 m depth.

Wuhan University (CN)
Sustainable cities and communities
Openalex Percentile: Top 86%
BIM and Construction Integration
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Reconstructing Urban Subsurface Structures by Using Metro Signals — Yudi Pan, Teng Wang · (2025) | TGRS Research Map | TGRS