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利用SPAC法估算地壳S波速度结构
引用本文:徐佩芬,李世豪,凌甦群,郭慧丽,田宝卿.利用SPAC法估算地壳S波速度结构[J].地球物理学报,2013,56(11):3846-3854.
作者姓名:徐佩芬  李世豪  凌甦群  郭慧丽  田宝卿
作者单位:1. 中国科学院地质与地球物理研究所地球深部研究重点实验室, 北京 100029;2. 中国科学院大学, 北京 100049;3. 日本地学数据分析研究所, 东京 184-0012
基金项目:中国科学院知识创新工程重要方向项目(KZCX2-EW-107)资助
摘    要:S波速度结构能够反映地球介质的物性差异,是地壳内低速区结构特征判别的重要依据.本文尝试利用空间自相关法(SPAC法)从地震台站微动信号的垂直分量中提取瑞利波相速度频散曲线,通过对频散曲线的反演获得地下介质的S波速度结构.以国家数字测震台网8个宽频带地震台站的实测微动数据为例,采用SPAC方法获得了首都圈地区北京附近约30 km 深度范围内的一维S波速度结构.结果表明,该区结晶基底埋深较浅约2 km;分别在5~8 km 和12~16 km 深处发育S波低速层;8 km 和 20 km 处是S波速度差异较大的速度分界面.这一结果与以往地震学及人工地震探测结果较为吻合,表明SPAC法估算地壳S波速度结构是可行、有效的.

关 键 词:S波速度结构  空间自相关法  频散曲线  微动信号  首都圈  
收稿时间:2013-04-06

Application of SPAC method to estimate the crustal S-wave velocity structure
XU Pei-Fen,LI Shi-Hao,LING Su-Qun,GUO Hui-Li,TIAN Bao-Qing.Application of SPAC method to estimate the crustal S-wave velocity structure[J].Chinese Journal of Geophysics,2013,56(11):3846-3854.
Authors:XU Pei-Fen  LI Shi-Hao  LING Su-Qun  GUO Hui-Li  TIAN Bao-Qing
Institution:1. Key Laboratory of the Study of Earth's Deep Interior, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. Geo-Analysis Institute Co., Ltd. Tokyo 184-0012, Japan
Abstract:S-wave velocity structure can reflect the differences of physical properties of Earth media, and is the important basis of identifying the structural characteristics of the low velocity zone. This article attempts to use spatial autocorrelation method (SPAC method) to extract Rayleigh-wave phase velocity dispersion curves from the vertical component of the seismic stations' microtremors, and through the inversion of dispersion curve, acquires the S-wave velocity structure. Taking 8 broadband seismic stations' actual measurement from China National Seismic Network for example, we acquired the one-dimensional S-wave velocity structure of 30 km depth range using this method in the Capital area near Beijing. The inversion result shows that the crystalline basement of this region is about 2 km deep; there is S wave low-velocity layer at 5~8 km and 12~16 km depth; the depth 8 km and 20 km stands for the speed interface of S-wave that has a big speed difference. This result has good consistency with seismology and artificial seismic exploration results, which illustrates that estimating the crustal S-wave velocity structure using spatial autocorrelation method is feasible and effective.
Keywords:S-wave velocity structure  Spatial autocorrelation method  Dispersion curve  Microtremor signal  Capital area
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