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APPLIED GEOPHYSICS  2020, Vol. 17 Issue (2): 233-242    DOI: 10.1007/s11770-020-0817-7
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Detection of shallow underground fissures by time-frequency analysis of Rayleigh waves based on wavelet transform*
Shao Guang-zhou 1, and Du Ting 1
1. College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
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Abstract Ground fissure is a geological hazard that poses a great threat to human life and, property and the environment. Therefore, it is necessary to detect shallow underground fissures effectively. In this paper, a time-frequency analysis of Rayleigh waves based on the wavelet transform is proposed to detect shallow underground fissures. The arrival time of the directed Rayleigh waves and the diffracted Rayleigh waves from the underground fissure is extracted from the time-frequency spectrum of any two traces. Furthermore, the locations of the underground fissures are calculated according to the time difference relation. Four sets of fracture models and one set of fi eld data were used to test the effectiveness of the wavelet transform of Rayleigh waves. Moreover, the detection results of the actual data are compared with that of the high-density electrical method to further prove its detection effect. The fi eld investigation shows that using the wavelet transform of Rayleigh waves to detect shallow underground fissures is feasible and effective.
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Key wordsUnderground fissure   Rayleigh wave   wavelet transform     
Received: 2019-03-06;
Fund:

This research is jointly supported by the National Natural Science Foundation of China (Grant Nos. 41874123, 41004043)and fundamental research funds for the central universities (Grant Nos. 300102268401, 300102268402).

Corresponding Authors: Du Ting (Email: 1143368077@qq.com)   
 E-mail: 1143368077@qq.com
About author: Shao Guang-zhou, Ph.D, Associate professor, master’s s u p e r v i s o r. H e g r a d u a t e d f r o m Chang’an University with a bachelor’s degree in 2000, a master’s degree in 2003 and a doctorate in 2009. He is engaged in seismic exploration teaching and research work. Email:shao_gz@chd.edu.cn
Cite this article:   
. Detection of shallow underground fissures by time-frequency analysis of Rayleigh waves based on wavelet transform*[J]. APPLIED GEOPHYSICS, 2020, 17(2): 233-242.
 
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