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作者:

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

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摘要:

In this study, more than 1600 seismic recordings from 88 small-to-moderate earthquakes during 2009 and 2013, which were recorded at 36 seismic stations, were used to calculate the high-frequency attenuation parameter (kappa(0)). By comparing the kappa(0) of six seismic stations with neighboring strong motion stations, we observed that the surficial soil layers have aggravated the high-frequency attenuation phenomenon. Besides, we found that stations located in crustal low-velocity anomaly areas maintained higher kappa(0) and those located in high-velocity anomaly areas tended to have lower kappa(0). The correlation between kappa(0) and S-wave velocity anomaly showed that, at the 0-10 km depth range, the kappa(0) values clearly decrease as the velocity anomaly increases. The generalized inversion technique (GIT) was adopted to estimate the Q(f) model of the Sichuan Basin (SB) and Songpan-Garze Orogen (SGO), in accompaniment with the site responses of 28 seismic stations. The derived Q(f) model were similar to those obtained from previous studies. Analyses of site responses revealed that the amplification curves and levels of SB and SGO were significantly different. Then, Site responses estimated from the genetic algorithm and GIT were compared. The site response curves of most stations are similar. For stations having significantly different site responses, we investigated by comparing with the results obtained from accelerograms recorded at nearby strong motion stations by applying the horizontal-to-vertical spectral ratio (HVSR) method. The results showed that site responses obtained from the GIT were closer to those of HVSR than those of the genetic algorithm.

关键词:

Generalized inversion technique Site effects High-frequency attenuation parameter The Longmen Shan region Quality factor Crustal velocity anomaly

作者机构:

  • [ 1 ] [Fu, Lei]China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
  • [ 2 ] [Li, Xiaojun]China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
  • [ 3 ] [Wang, Fang]China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
  • [ 4 ] [Chen, Su]China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
  • [ 5 ] [Li, Xiaojun]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • 李小军

    [Li, Xiaojun]China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China;;[Li, Xiaojun]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF ASIAN EARTH SCIENCES

ISSN: 1367-9120

年份: 2019

卷: 181

3 . 0 0 0

JCR@2022

ESI学科: GEOSCIENCES;

ESI高被引阀值:123

JCR分区:2

被引次数:

WoS核心集被引频次: 18

SCOPUS被引频次: 18

ESI高被引论文在榜: 0 展开所有

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