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张家口地震台和兴隆地震台地脉动信号初步分析
引用本文:张从珍,高景春,刁桂苓,赵英萍,宋梦真. 张家口地震台和兴隆地震台地脉动信号初步分析[J]. 华北地震科学, 2004, 22(3): 56-60
作者姓名:张从珍  高景春  刁桂苓  赵英萍  宋梦真
作者单位:河北省地震局,河北,石家庄,050021;河北省黄壁庄地震台,河北,获鹿,050224
基金项目:国家"十五"科技攻关项目(2001BA601B01 01 05),河北省地震局青年科学基金(2003年)
摘    要:选取河北省张家口和兴隆2个台站的数字化地震仪连续1年,每日02~03时的地脉动记录,计算功率谱和自相关函数。结果发现兴隆台脉动谱中有4个比较突出的峰值,分别为0.3Hz、3Hz、8Hz、15Hz,张家口台只有3个峰值0.3Hz、3Hz、15Hz。兴隆台UD向的自相关函数呈现出一种比较典型的“红噪声”形态,EW向则呈现出负相关特征,认为可能是只作用于水平向的倾斜脉动的影响。小幅度的仪器干扰信号无论从脉冲标定还是地震波形中都很难发现的,而对脉动进行谱分析则很容易分辨。兴隆台和张家口台地脉动卓越周期时间曲线,基本集中在0.3秒,比较稳定。

关 键 词:数字地震记录  地脉动  功率谱  自相关
文章编号:1003-1375(2004)03-0056-05
修稿时间:2004-02-05

Preliminary analysis to the signals of ground microtremor in Zhangjiakou and Xinglong Seismostation
ZHANG Cong-zhen,GAO Jing-chun,DIAO Gui-ling,ZHAO Ying-ping,SONG Meng-zhen. Preliminary analysis to the signals of ground microtremor in Zhangjiakou and Xinglong Seismostation[J]. North China Earthquake Sciences, 2004, 22(3): 56-60
Authors:ZHANG Cong-zhen  GAO Jing-chun  DIAO Gui-ling  ZHAO Ying-ping  SONG Meng-zhen
Affiliation:ZHANG Cong-zhen~1,GAO Jing-chun~1,DIAO Gui-ling~1,ZHAO Ying-ping~1,SONG Meng-zhen~2
Abstract:The power spectra and autocorrelation function of the ground microtremor records in Zhangjiakou and Xinglong Seismostation are calculated. The results show that there are 4 peak values in the microtremor spectra of Xinglong Seismostation (0.3Hz, 3Hz, 8Hz,15Hz) and 3 peak values in Zhangjiakou Seismostation (0.3Hz, 3Hz, and 15Hz). The autocorrelation function in the UD direction of Xinglong station showed a typical "red noise" shape, but its EW direction showed negative correlation, which may be the affection of slantwise pulsation that acts on only in horizontal direction. Small instrumental interference signal is hard to distinguish, whether is from pulse calibration or seismic waves, but it is easy in spectral analysis of ground microtremor. The predominant cycle of ground microtremor in the two stations, which concentrated basically in 0.3s, was relatively stable.
Keywords:digital seismic records  ground microtremor  power spectra  autocorrelation  predominant cycle
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