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作者:

Fu, Lei (Fu, Lei.) | Li, Xiaojun (Li, Xiaojun.) (学者:李小军) | Chen, Su (Chen, Su.)

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EI PKU CSCD

摘要:

A dataset of 719 three-component accelerograms recorded at 102 strong motion stations during 2008 and 2015 were used to calculate the high-frequency attenuation parameter (κ) of Yunnan, China by adopting the spectral decay method. Then, the characteristics of κ were studied. According to the geographical distribution of selected stations and earthquakes, Yunnan was divided into southwestern, southeastern, central, and northeastern regions, the obtained site-components of horizontal κ(κ0h) were 0.0467, 0.0373, 0.0429, and 0.0376s, respectively. A tendency that κ0h increased from north to south was observed. Based on a simplified two-layered crustal model, the frequency-independent quality factor (QI) of each region was derived from the path-component of horizontal κ(m), and the QI values were varying from 1199~1506. The result shows that QI of the southeastern and northwestern regions were larger than those of northwestern and central regions, and all of them were significantly lower than that of the Sichuan basin and western Sichuan plateau. These observations were coinciding with previous studies. Finally, κ0h and m of the 102 stations were calculated. The κ0h values were varying between 0.0041s and 0.0639s with an average value of 0.0419s. The m values were varying between 0.0000812s/km and 0.0003475s/km with an average value of 0.0002049s/km. These results indicate that both κ0h and m of Yunnan has significantly horizontal heterogeneity. The κ0h and m values obtained in this article could benefit the studies such as strong ground motion simulation and development of ground motion predication equations in Yunnan. © 2019, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.

关键词:

Earthquake effects Equations of motion Geographical distribution Geographical regions Motion estimation Stochastic models Stochastic systems

作者机构:

  • [ 1 ] [Fu, Lei]Institute of Geophysics, China Earthquake Administration, Beijing; 100081, China
  • [ 2 ] [Li, Xiaojun]Institute of Geophysics, China Earthquake Administration, Beijing; 100081, China
  • [ 3 ] [Li, Xiaojun]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Chen, Su]Institute of Geophysics, China Earthquake Administration, Beijing; 100081, China

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来源 :

Journal of Basic Science and Engineering

ISSN: 1005-0930

年份: 2019

期: 6

卷: 27

页码: 1294-1307

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WoS核心集被引频次: 0

SCOPUS被引频次: 1

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