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基于倾斜仪记录的地震事件自动判别初探

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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.
A Trial of Seismic Events Automaticidentification Based on Tiltmeter Records
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.

EMD decompositionSTA/LTA ratioseismic events automatic identification

周晓峰、叶庆东、杨颖航

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中国地震局地球物理研究所,北京 100081

中国地震局第一监测中心,天津300180

武汉大学测绘学院固体地球物理系,武汉430079

EMD分解 STA/LTA比值 地震事件自动识别

科技部国际科技合作与交流专项资助

2015DFA21260

2015

华北地震科学
河北省地震局

华北地震科学

CSTPCD
影响因子:0.598
ISSN:1003-1375
年,卷(期):2015.33(3)
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