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Journal Article

Citation

Yang J, Wang Z, Zhou J, Song X, Liu Y, Wu B, Shuai L, Ying K, Ye L, Zhang L, Ye Q, Cai H. Appl. Opt. (2004) 2023; 62(2): 342-347.

Copyright

(Copyright © 2023, Optical Society of America)

DOI

10.1364/AO.475755

PMID

36630232

Abstract

Mountain dynamic response monitoring plays important roles in geological disaster evolution monitoring and warning. A distributed mountain seismic monitoring and steady-state analysis method is demonstrated with distributed acoustic sensing (DAS) and a natural earthquake stimulus. In the field test, the seismic detection capability is first verified by comparing the recorded seismic waveforms from DAS and existing seismic stations. The vibration signal difference between steady-state and unsteady-state mountain parts is apparent; the operational modal analysis method is utilized to extract the response difference and to monitor the disaster evolution process. The proposed method has many advantages, including being easy to deploy, all-weather online monitoring, etc. It is believed that the proposed method will broaden the DAS application scope and promote the development of geological disaster early warning such as landslides and collapses.


Language: en

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