Surface wave tomography of China from ambient seismic noise correlation

Sihua Zheng*, Xinlei Sun, Xiaodong Song, Yingjie Yang, Michael H. Ritzwoller

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

142 Citations (Scopus)
4 Downloads (Pure)

Abstract

We perform ambient noise tomography of China using data from the China National Seismic Network and surrounding global and regional stations. For most of the station pairs, we retrieve good Rayleigh waveforms from ambient noise correlations using 18 months of continuous data at all distance ranges across the entire region (over 5000 km) and for periods from 70 s down to about 8 s. We obtain Rayleigh wave group velocity dispersion measurements using a frequency-time analysis method and invert for Rayleigh wave group velocity maps for periods from 8 s to 60 s. The tomographic maps display significant features that correlate with surface geology. Major basins, including Tarim, Junggar, Qadaim, Sichuan, Bohai-Wan, and Songliao, are all well delineated by slow group velocities at shorter periods (10 to 20 s). The overall trend of crustal thickening from east to west is well represented by group velocity decreases from east to west at periods around 30 s. Copyrignt 2008 by the American Geophysical Union.

Original languageEnglish
Article numberQ05020
Pages (from-to)1-8
Number of pages8
JournalGeochemistry, Geophysics, Geosystems
Volume9
Issue number5
DOIs
Publication statusPublished - May 2008
Externally publishedYes

Bibliographical note

Copyright 2008 by the American Geophysical Union. Originally published as Zheng, S., X. Sun, X. Song, Y. Yang, and M. H. Ritzwoller (2008), Surface wave tomography of China from ambient seismic noise correlation, Geochem. Geophys. Geosyst., 9, Q05020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Ambient noise correlation
  • China
  • Surface wave
  • Tomography

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