| 高采样率四分量钻孔应变同震响应分析 |
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| 引用本文： | 刘琦.高采样率四分量钻孔应变同震响应分析[J].中国地震研究,2014,28(1):34-45. |
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| 作者姓名： | 刘琦 |
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| 作者单位： | 中国地震局地震预测研究所, 北京市复兴路63号 100036 |
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| 基金项目： | This research was funded jointly by the Special Fund for Earthquake-related Scientific Research of China Earthquake Administration ( 201108009 ) ，the Basic Scientific Research Fund of Institute of Earthquake Science，CEA ( 2012IES0202 ) ，and the Youth Earthquake Regime Tracing Project for the Year 2012 ( 2012020212) ． |
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| 摘 要： | In this paper, we adopt the observation data of two 10Hz YRY 4-component borehole strainmeters and one 100Hz FBS-3B broadband seismometer to study the responses of their observations to the April 11, 2012 Mw 8.6 earthquake off the west coast of northern Sumatra, and compare the response characteristics during the coseismic stage after preprocessing of the data. We analyze the spectrum＇s dynamic process during the coseismic stage with the S transformation method, and discuss the spectrum＇s details in different seismic phases. The S transformation results of the data of seismometer and borehole strainmeter at the same station show that the coseismic spectrum evolution of the two kinds of observation are similar to each other and can be cross-referenced in indentifying the wave signals, which proves that the borehole strainmeter measurements at high frequencies are reliable.
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| 关 键 词： | 钻孔应变仪 分量 采样率 观测数据 地震仪 苏门答腊 响应特性 变换方法 |
| 收稿时间： | 2012/9/14 0:00:00 |
The Analysis of Coseismic Response of 4-component Borehole Strainmeters with High Sampling Rate |
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| Liu Qi.The Analysis of Coseismic Response of 4-component Borehole Strainmeters with High Sampling Rate[J].Earthquake Research in China,2014,28(1):34-45. |
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| Authors: | Liu Qi |
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| Institution: | [1]Key Laboratory of Earlhquake Prediction, Institute of Earthquake Science, CEA, Beijing 100036, China [2]China Earthquake Networks Center, Beijing 100045, China |
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| Abstract: | High-sampling rate 4-component Strain Coseismic Time-frequencyanalysis |
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| Keywords: | High-sampling rate 4-component Strain Coseismic Time-frequency analysis |
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