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Zheng Xian, Zhao Cuiping, Zhou Lianqing, Zheng Sihua. 2013: Reliability analysis of retrieving surface waves from ambient noise data between seismic station pairs: An example of application at broadband stations in central and eastern China. Acta Seismologica Sinica, 35(2): 218-228. DOI: 10.3969/j.issn.0253-3782.2013.02.008
Citation: Zheng Xian, Zhao Cuiping, Zhou Lianqing, Zheng Sihua. 2013: Reliability analysis of retrieving surface waves from ambient noise data between seismic station pairs: An example of application at broadband stations in central and eastern China. Acta Seismologica Sinica, 35(2): 218-228. DOI: 10.3969/j.issn.0253-3782.2013.02.008
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Reliability analysis of retrieving surface waves from ambient noise data between seismic station pairs: An example of application at broadband stations in central and eastern China

  • Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China

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  • Received Date: February 05, 2012
  • Revised Date: July 08, 2012
  • Published Date: February 28, 2013
    Graphical Abstract
    • Abstract
  • We retrieved Rayleigh wave Green functions between all possible station pairs after pre-processing, cross-correlation and stacking the data, which are 21 months' continuous ambient seismic noise recorded by 100 evenly distributed broadband seismic stations mainly in the National Seismic Network in central and eastern Chinese mainland. The quality of the empirical Green functions (EGFs) and the dispersion curves along selected paths were estimated to measure the reliability and stability of the EGFs. Our results display that the EGFs are correlated with the earthquake signals, suggesting the reliability of the EGFs. In addition, we counted the number of dispersion measurements with SNR>10 retrieved from the time-series of different lengths (3—21 months). The result shows that, to obtain enough reliable EGFs for velocity tomography, at least 12 months' data should be used and 12 months’ data can make sure that dispersion curves under 30 s are temporally stable.
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