小震的综合识别研究  

STUDY ON THE METHOD FOR COMPREHENSIVE DISCRIMINATION OF SMALL EARTHQUAKES

作　　者：沈萍[1] 郑治真[2] 刘希强[3] 滕云田[1] 杨选辉[2] 

机构地区：[1]中国地震局地球物理研究所,中国北京100081 [2]中国地震局地震数据信息中心,中国北京100045 [3]山东省地震局,中国济南250014

出　　处：《地震学报》2002年第2期169-175,共7页Acta Seismologica Sinica

基　　金：国家自然基金资助项目

摘　　要：采用现代数字信号处理方法 ,对中国地震局地球物理研究所研制的数字地震仪在山西省大同地区 1999年 11月记录的三分向数字地震资料进行分析 ,研究了数字地震记录信号的自动识别 .结果表明 ,通过采用长短时信号平均值比、谱分析和小波分析法提取特征参量进行综合识别的方法 ,可对地震信号进行人机交互式自动识别 ,且对多数ML>2 .In the paper, we apply the theory of modern digital signal processing to analysis 3-component digital seismic data recorded in Datong area of Shanxi Province by digital seismographs developed by the Institute of Geophysics, CSB in November 1999 and study the auto-discrimination of the recorded digital seismic signals. The results show that the method for comprehensive discrimination in connection with ratios between average values of long-time and shorttime signals, spectral analysis, and wavelet analysis can be used to auto-discrimination of seismic signals through alternate man-computer processing. Many M L>2.0 earthquakes were better discriminated.

关 键 词：数字地震记录 谱分析 小波分析 综合识别 数字地震资料 地震信号 

分 类 号：P315.61[天文地球—地震学]