基于小波分析对形变扰动信号的触发检测方法  

Trigger Detection Method of Deformation Disturbance Signal Based on Wavelet Analysis

作　　者：刘明辉[1] 李江[1] 沙成宁[2] 周银兴[1] 陈阳[1] 崔仁胜[1] 朱小毅[1] 林湛[1] LIU Minghui;LI Jiang;SHA Chengning;ZHOU Yinxing;CHEN Yang;CUI Rensheng;ZHU Xiaoyi;LIN Zhan(Key Laboratory of Earthquake Prediction,Institute of Earthquake Forecasting,CEA,63 Fuxing Road,Beijing 100036,China;Qinghai Earthquake Agency,1 Xinghai Road,Xining 810001,China)

机构地区：[1]中国地震局地震预测研究所地震预测重点实验室,北京市复兴路63号,100036 [2]青海省地震局,西宁市兴海路1号,810001

出　　处：《大地测量与地球动力学》2023年第12期1229-1234,共6页Journal of Geodesy and Geodynamics

基　　金：中国地震局地震预测研究所所长基金(CEAIEF2022030104);国家重点研发计划(2022YFC2204301)。

摘　　要：以玉树地震台钻孔应变仪在汶川8.0级地震前5 d的信号为例,首先计算2个合成分量S13和S24之间的相关性和相干频率,检验钻孔应变仪的可靠性和稳定性,并找出二者不相干信号的频率;其次用小波分析提取4个观测分量的扰动信号,计算其时间-频率-能量分布;最后根据时间-频率-能量分布特征选择STA/LTA触发检测参数,分别对4个观测分量和2个合成分量进行触发检测。结果表明,本文方法能有效检测到6个分量中扰动信号的开始时间和结束时间,可为台站观测人员日常运行维护及时提供报警信息,同时为地震前兆判断提供一种新方法。As an example,we use 5 days borehole strainmeter observation data before the Wenchuan 8.0 earthquake recorded in Yushu seismic station.First,we check the reliability and stability of the borehole strainmeter through calculation of the correlation and coherent frequency between the two synthetic components S 13 and S 24,and find out the incoherent signal’s frequency between S 13 and S 24 as the basis for selecting wavelet parameters.Secondly,we use wavelet analysis to extract the disturbance signals in the four observation components,and calculate the time-frequency-energy distribution.Finally,we select STA/LTA trigger detection parameters according to the time-frequency-energy distribution characteristics to detect 4 observation components and 2 synthetic components respectively.The results show that the method can effectively detect the start and end time of the disturbance signal in six components,can provide timely alarm information for the daily operation and maintenance of the station operator,and provide a new method to judge earthquake precursors.

关 键 词：钻孔应变 扰动信号 小波分析 能量分布 触发检测 

分 类 号：P315[天文地球—地震学]