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Volume 22 Issue 2
Apr.  2011
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Three-Dimensional S-Wave Velocity Structure in Eastern Tibet from Ambient Noise Rayleigh and Love Wave Tomography

  • Received Date: 2017-03-21
  • We apply ambient noise tomography to continuous three-component broadband seismic data between January 1, 2008 and December 31, 2008 from the regional networks of 76 stations deployed by China Earthquake Administration. Ambient noise cross-correlations were performed to produce the Green’s functions of each station-pair. Within the period from 6 to 50 s, Rayleigh and Love wave dispersion curves were measured using the multiple filter analysis method. Then three- dimensional (3-D) S-wave velocity structures from the surface down to 70 km are inverted from both Rayleigh and Love wave dispersion results. The obtained S-wave velocity maps show strong lateral variations and correlate well with the distinct geological and tectonic features in the study area...
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Three-Dimensional S-Wave Velocity Structure in Eastern Tibet from Ambient Noise Rayleigh and Love Wave Tomography

  • 1. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
  • 2. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China
  • 3. Institute of Geophysics, China Earthquake Administration, Beijing 100081, Chin

Abstract: We apply ambient noise tomography to continuous three-component broadband seismic data between January 1, 2008 and December 31, 2008 from the regional networks of 76 stations deployed by China Earthquake Administration. Ambient noise cross-correlations were performed to produce the Green’s functions of each station-pair. Within the period from 6 to 50 s, Rayleigh and Love wave dispersion curves were measured using the multiple filter analysis method. Then three- dimensional (3-D) S-wave velocity structures from the surface down to 70 km are inverted from both Rayleigh and Love wave dispersion results. The obtained S-wave velocity maps show strong lateral variations and correlate well with the distinct geological and tectonic features in the study area...

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