周晓峰, 叶庆东, 杨颖航. 基于倾斜仪记录的地震事件自动判别初探[J]. 华北地震科学, 2015, 33(3): 1-5. DOI: 10.3969/j.issn.1003-1375.2015.03.001
引用本文: 周晓峰, 叶庆东, 杨颖航. 基于倾斜仪记录的地震事件自动判别初探[J]. 华北地震科学, 2015, 33(3): 1-5. DOI: 10.3969/j.issn.1003-1375.2015.03.001
ZHOU Xiao-feng, YE Qing-dong, YANG Ying-hang. A Trial of Seismic Events Automaticidentification Based on Tiltmeter Records[J]. North China Earthquake Sciences, 2015, 33(3): 1-5. DOI: 10.3969/j.issn.1003-1375.2015.03.001
Citation: ZHOU Xiao-feng, YE Qing-dong, YANG Ying-hang. A Trial of Seismic Events Automaticidentification Based on Tiltmeter Records[J]. North China Earthquake Sciences, 2015, 33(3): 1-5. DOI: 10.3969/j.issn.1003-1375.2015.03.001

基于倾斜仪记录的地震事件自动判别初探

A Trial of Seismic Events Automaticidentification Based on Tiltmeter Records

  • 摘要: 以垂直摆倾斜仪数据为资料,通过自编的软件对原始数据进行EMD分解,将低频固体潮和高频地震信号分开,分别对地震信号和固体潮在时间域中用长短时平均能量比(STA/LTA)的方法,实时监测到中国台湾5.4级和中缅边境地区4.9级地震事件,并区分了仪器故障。

     

    Abstract: Seismic events automaticidentification technology is the basis of earthquake early warning. In this paper, the data of vertical pendulum tiltmeteris studied using the EMD decomposition method to divide high-frequency seismic signals from low-frequency earth tide signals, which are analyzed respectively using STA/LTA method in order to achieveseismic events real-time monitoring. By these methods,an earthquake of magnitude 4.9 event in Chinese Taiwan and an earthquake of magnitude 5.4 in the China-Myanmar border areas are identificatedautomaticly with the instrumenture is differentiated.

     

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