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Seismic noise in South China Sea: High-quality time-frequency analysis from 0.01 to 125 Hz.
Liu, Lihua; Guo, Yonggang; Li, Fenghua; Wang, Sujing; Zhang, Fei; Zhang, Yuankai; Yang, Jie; Qiu, Yong; Liang, Qihui.
Affiliation
  • Liu L; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Guo Y; Bullard Laboratories, Department of Earth Sciences, University of Cambridge, Cambridge CB3 0EZ, United Kingdom.
  • Li F; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Wang S; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Zhang F; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Zhang Y; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Yang J; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Qiu Y; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
  • Liang Q; State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
J Acoust Soc Am ; 155(5): 3380-3393, 2024 May 01.
Article in En | MEDLINE | ID: mdl-38775635
ABSTRACT
An efficient and precise time-frequency analysis method for real-time ocean bottom seismometer (RTOBS) data in the South China Sea (SCS) is presented. Overcoming the limitations of conventional methods, the method involves temporal segmentation, unique frequency octaves, and Fourier transforms to generate power spectral density (PSD) and probability density function profiles. The method demonstrates superior precision, computational efficiency, and full-bandwidth (0 to Nyquist) capability compared to traditional techniques, as validated through theoretical and empirical evaluations. Applied to SCS RTOBS data, it unveils temporal PSD variations, shedding light on underwater noise sources like earthquakes, offshore blasting, ship-induced disturbances, and tidal effects. Establishing background noise levels in the SCS supports noise source categorization and ocean environment monitoring. Furthermore, comparing onshore and offshore seismic stations advances interdisciplinary research, fostering a comprehensive understanding of acoustics and seismology in the region.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Acoust Soc Am Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Acoust Soc Am Year: 2024 Document type: Article Affiliation country: China