连续重力信号的非潮汐信息自动提取
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摘要
采用基于EMD自动提取算法及地震触发判断算法实现对台站连续重力数据的潮汐、尖峰、台阶、仪器漂移和趋势性变化的消除,达到连续重力非潮汐信息的自动分离提取。研究实例表明,该算法可实现对重力台站资料的自动处理,适于对大量台站连续重力观测资料进行批量化处理,快捷地提取非潮汐变化信息。
The effect of tidal,peak,step,instrument drift and trend from the continuous tidal gravity data was removed by using the automatic extraction algorithm based on EMD and earthquake triggering algorithm,and achieved successfully the automatic extraction of tidal and non-tidal gravitational information.The examples show that the algorithm greatly reduces the manual work and it may be used for batch processing and quickly extracting the information of non-tidal changes of a large number of stations.
The effect of tidal,peak,step,instrument drift and trend from the continuous tidal gravity data was removed by using the automatic extraction algorithm based on EMD and earthquake triggering algorithm,and achieved successfully the automatic extraction of tidal and non-tidal gravitational information.The examples show that the algorithm greatly reduces the manual work and it may be used for batch processing and quickly extracting the information of non-tidal changes of a large number of stations.
引文
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6 Cartwright D E.Tides:a scientific history[M].CambridgeUniversity Press,2001.
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8 Norden E,et al.The empirical mode decomposition and theHilbert spectrum for nonlinear and nonstationary time seriesanalysis[J].Proceedings of the Royal Society of London,1998,454:903-995.
9 Norden E,et al.Anewviewof nonlinear water waves——theHilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457.
10 Flandrin P,Rilling G and Gon alves P.Empirical mode de-composition as a filterbank[J].IEEE Signal Proc Lett.,2004,11:112-114.
11于德介,程圣军,杨宇.希尔伯特黄变换在齿轮故障诊断中的应用[J].机械工程学报,2005,41(6):102-107.(Yu Dejie,Cheng Shengjun and Yang Yu.Hilbert-HuangTransform in gear fault diagnosis[J].Mechanical Engi-neering,2005,41(6):102-107.)
2周擎,等.固体潮的地震预测研究与地球动力学研究之分析比较[J].地球物理学进展,2005,20(1):118-122.(Zhou Qing,et al.Comparing the earthquake forecast of theearth tide with the geodynamics of the earth tide[J].Pro-gress in Geophysics.,2005,20(1):118-122)
3蒋骏,等.固体潮潮汐因子的特征频谱及其应用[J].地壳形变与地震,1994,(2):88-95.(Jiang Jun,et al.Char-acteristics spectrum of the Earth tidal factor and its applica-tion[J].Crustal deformation and Earthquake,1994,(2):88-95)
4 Doodson A T.The Harmonic development of the tide-genera-ting potential[J].Proceedings of the Royal Society of Lon-don.Series A,1921,100(704):305-329.
5 Casotto and Biscani F.A fully analytical approach to the har-monic development of the tide-generating potential account-ing for precession,nutation,and perturbations due to figureand planetary terms[J].AAS Division on Dynamical As-tronomy,2004,36(2):67.
6 Cartwright D E.Tides:a scientific history[M].CambridgeUniversity Press,2001.
7杨光亮,等.基于HHT的地震信号自动去噪算法[J].大地测量与地球动力学,2010,(3):39-42.(Yang Guangli-ang,et al.Automatic de-nosing algorithm of earthquake sig-nal based on HHT decomposition[J].Journal of Geodesyand Geodynamics,2010,(3):39-42)
8 Norden E,et al.The empirical mode decomposition and theHilbert spectrum for nonlinear and nonstationary time seriesanalysis[J].Proceedings of the Royal Society of London,1998,454:903-995.
9 Norden E,et al.Anewviewof nonlinear water waves——theHilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457.
10 Flandrin P,Rilling G and Gon alves P.Empirical mode de-composition as a filterbank[J].IEEE Signal Proc Lett.,2004,11:112-114.
11于德介,程圣军,杨宇.希尔伯特黄变换在齿轮故障诊断中的应用[J].机械工程学报,2005,41(6):102-107.(Yu Dejie,Cheng Shengjun and Yang Yu.Hilbert-HuangTransform in gear fault diagnosis[J].Mechanical Engi-neering,2005,41(6):102-107.)
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