汶川8.0级地震前驱波的统计检验
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摘要
利用汶川8.0级大地震震中周围16个台站的四分量钻孔应变观测资料,对地震前驱波进行检验。用高通滤波消除周期>128分钟的固体潮汐影响,用回归分析方法消除气压干扰,用小波变换方法将2~128分钟的信号分解到6个不同频段进行分析,结果显示小波变换方法能提取出信号中的微弱变化信息。根据小波变换提取的类似前驱波基本特征,利用"超限率"分析方法检验小波分解的细节部分,并对所有细节部分的超限率时间序列的拟合直线斜率进行统计,得出平均值和标准差。两项统计数据显示,震前15天之内不能普遍检测到地震前驱波。
The precursory waves before Wenchuan 8.0 earthquake are statistically tested by use of the observed strain data with the 4-component borehole strainmeters at 16 stations around the epicenter.In which,first of all,the influence of solid tide whose period is longer than 128 minutes is removed with high-pass filter,and the secondly,air-pressure influence is removed with linear regression method,and then the signals for 2～128 minutes are decomposed into 6 different kinds of frequency bands with wavelet transform method. The results indicat that wavelet transform can be used to identify small change existed in deformation signal.On the basis of the characteristics of precursory wave indentified by wavelet transform,and the overrun rate method will be used to test the details of wavelet decomposing,and then the regression line slope of the overrun rate time sequence of entire details will be statisticed,thus the average and standard deviation can be obtained.These data show that precursory waves can not be generally detected during 15 day before earthquake.
The precursory waves before Wenchuan 8.0 earthquake are statistically tested by use of the observed strain data with the 4-component borehole strainmeters at 16 stations around the epicenter.In which,first of all,the influence of solid tide whose period is longer than 128 minutes is removed with high-pass filter,and the secondly,air-pressure influence is removed with linear regression method,and then the signals for 2～128 minutes are decomposed into 6 different kinds of frequency bands with wavelet transform method. The results indicat that wavelet transform can be used to identify small change existed in deformation signal.On the basis of the characteristics of precursory wave indentified by wavelet transform,and the overrun rate method will be used to test the details of wavelet decomposing,and then the regression line slope of the overrun rate time sequence of entire details will be statisticed,thus the average and standard deviation can be obtained.These data show that precursory waves can not be generally detected during 15 day before earthquake.
引文
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12刘序俨,等.定点形变数字观测中高频信号特征及提取方法[J].大地测量与地球动力学,2006,26(增):6-10.
13宋治平,等.小波分析方法在形变数字化资料处理中的应用[J].大地测量与地球动力学,2003,23(4):21-27.
14周龙寿,等.用小波方法系统检验强震“前驱波”[J].地震学报,2009,31(1):1-12
2冯德益,等.长周期形变波及其所反应的短期和临震地震前兆[J].地震学报,1984,6(1):41-56.
3杨又陵,等.2001年11月14日昆仑山口西M8.1地震前的缓慢地震事件[J].国际地震动态,2003,(9):1-4.
4陈德福.潮汐形变前驱波的时空特征[J].大地测量与地球动力学,2006,26(2):24-30.
5王庆良,等.理解前兆异常变化机理和地震短临前兆[J].国际地震动态,2005,(5):131-144.
6张晁军,石耀霖,马丽.慢地震研究中的一些问题[J].中国科学院研究生院学报,2005,22(3):258-269.
7高金哲,等.地震前驱波观测与研究进展[J].华南地震,2005,25(1):53-58.
8车用太,等.山西朔州井水位的“前驱波”记录及其讨论[J].地震学报,2002,24(2):210-216.
9王武星,马丽,黄建平.强地震前后重力观测中异常变化现象的研究[J].地震,2007,27(2):53-63.
10张燕,等.潮汐形变资料中地震前兆信息的识别与提取[J].大地测量与地球动力学,2003,23(4):34-39.
11李杰,等.利用小波变换方法分析跨断层形变异常[J].大地测量与地球动力学,2004,24(3):73-78.
12刘序俨,等.定点形变数字观测中高频信号特征及提取方法[J].大地测量与地球动力学,2006,26(增):6-10.
13宋治平,等.小波分析方法在形变数字化资料处理中的应用[J].大地测量与地球动力学,2003,23(4):21-27.
14周龙寿,等.用小波方法系统检验强震“前驱波”[J].地震学报,2009,31(1):1-12
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