地震事件自动检测新方法
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摘要
地震事件的自动准确检测是地震速报的基础。本文基于地震信号所具有的非高斯性、非线性以及地震波的线偏振性特征并结合长短时平均比方法,提出了一种新的地震事件自动检测方法(EGLP)。基于山东数字化地震台网波形资料的研究结果表明,新方法(EGLP)能有效抑制高斯噪声、突出地震信号,提高了地震事件触发判断的准确性。
Detecting seismic event automatically and accurately is the base of earthquake rapid report.In this paper,a new method of automatic seismic event detection(EGLP) is proposed,which is based on the characteristics of seismic signal such as non-Gaussian,non-linear,plane polarization and STA/LTA method.Appling on Shangdong seismic network's digital seismic wave.It is found that the new method can suppress the Gaussian noise and make seismic signal evidence,improve the accuracy of seismic event detection.
Detecting seismic event automatically and accurately is the base of earthquake rapid report.In this paper,a new method of automatic seismic event detection(EGLP) is proposed,which is based on the characteristics of seismic signal such as non-Gaussian,non-linear,plane polarization and STA/LTA method.Appling on Shangdong seismic network's digital seismic wave.It is found that the new method can suppress the Gaussian noise and make seismic signal evidence,improve the accuracy of seismic event detection.
引文
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[3]朱元清,佟玉霞.数字化台网的近震震相自动识别[J].西北地震学报,2002,24(1):5-12.
[4]刘希强,周蕙兰.基于小波包变换的弱震相识别方法[J].地震学报,1998,20(4):373-380.
[5]王海军,靳平,刘贵忠,等.区域震相初至估计[J].西北地震学报,2003,25(4):298-303.
[6]Sleeman R,TOrild V E.Robust automa tic P-phase picking:Anon-line implementation in the analysisof broad-band seismogramre-cording[J].Phys.Earth Planet Inter.,1999,113:265-275.
[7]Stevenson R.Microearthquakes at Flathead Lake,Montana:Astudy using automatic earthquake processing[J].Bull.Seism.Soc.Am.,1976,66:61-79.
[8]Allen R.Automatic earthquake recognition and timing from singletrace[J].Bull.Seism.Soc.Am.,1978,68:1521-1532.
[9]Allen R.Automatic phase pickers their present use and futureprospects[J].Bull.Seism.Soc.Am.,1982,72:225-242.
[10]McEvilly T,Majer E.ASP:A Automated Seismic Processor ForMicroearthquake Networks[J].Bull.Seism.Soc.Am.,1982,72(1):303-325.
[11]Baer M,Kradolfer U.An Automatic Phase Picker For Local AndTeleseismic Events[J].Bull.Seism.Soc.Am.,1987,77(4):1437-1445.
[12]Earle P,Shearer P.Characterization of global seismogram usingan automatic-picking algorithm[J].Bull.Seism.Soc.Am.1994,84(2):366-376.
[13]王继,陈九辉,刘启元,等.流动地震台阵观测初至震相的自动检测[J].地震学报,2006,28(1):42-51.
[14]Massa M,Ferretti G,Spallarossa D,et al..Improving automaticlocation procedure by waveform similarity analysis:An applica-tion in the South Western Alps(Italy)[J].Phys.Earth PlanetInteriors.2006,154:18-29.
[15]Tibuleac M,Britton J.An Automated Short-Period Surface-Wave Detection Algorithm[J].Bull.Seism.Soc.Am.,2006,96(1):334-343.
[16]Withers M,Aster R,Yong C,et al..Acomparison of select trig-ger algorithms for automated global seismic.phase and event de-tection[J].Bull.Seism.Soc.Am.,1998,88(1):95-106.
[17]张贤达.时间序列分析-高阶统计量方法[M].北京:清华大学出版社,1996.
[18]唐震,程玉胜.舰船辐射噪声的非高斯特性和非线性检验[J].青岛大学学报,2002,15(3):63-65.
[19]Hinich M J,Wilson G R.Detection of non-Gaussian signals innon-Gaussian noise us the bispectrum[J].IEEE TransAeoust.,Speech,Signal processing,ASSP38:1126-1131.
[20]Jurkevics A.Polarization analysis of three-component array data[J].Bull.Seism.Soc.Am.1988,78:1725-1743.
[21]王书名,朱培民,李宏伟,等.地球物理学中的高阶统计量方法[M].北京:科学出版社,2006.
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