泾阳M_s4.8地震磁效应的高阶统计量方法研究
|
摘要
以陕西关中地区泾阳、乾陵、周至3个地磁台站的地磁场垂直分量(Z)日均值及3个台站地磁场垂直分量变化与1998年1月5日泾阳Ms4.8地震之间关系为基础,探讨利用高阶统计量分析方法提取与地震活动相关的震磁信息。结果表明,在震前3个月,3个台站的三阶矩(三阶累积量)异常变化幅度在10-20,四阶矩异常幅度在120以上,最高达到260,四阶累积量异常幅度在80-105,与加卸载响应比法结果对比发现,高阶统计量方法在突出震前中长期地磁异常方面具有一定的优越性,提出在震磁效应统计分析研究中引入高阶统计量方法的必要性及其在地震预报中的潜力和良好前景。
Based on the mean daily values of vertical component of the geomagnetic field at Jingyang, Qianling and Zhouzhi geomagnetic stations in Guanzhong region during 1996 -1998 and the relationship between their variations and Jingyang MS4. 8 earthquake occurred on January 5, 1998, the geomagnetic information related to seismicity extracted u-sing Higher-Order Statistics (HOS) method is discussed. At three stations, 3 months before the earthquakes, the magnitudes of the anomalies of Third Order Moment and Third Order Cumulant range 10 to 20, the magnitudes of the anomalies of Fourth Order Moments is over 120, up to 260, the magnitudes of the anomalies of Fourth Order Cumulant is 80-105. Comparing these results with those of the loading-unloading response ratio method, we find that HOS method has certain superiorities in standing out the secular to medium-term anomalies of geomagnetic field, and present the necessity of introducing the HOS method into the statistic study of seismomagnetic effect as well as the potential and prospect of HOS method in predicting earthquakes.
Based on the mean daily values of vertical component of the geomagnetic field at Jingyang, Qianling and Zhouzhi geomagnetic stations in Guanzhong region during 1996 -1998 and the relationship between their variations and Jingyang MS4. 8 earthquake occurred on January 5, 1998, the geomagnetic information related to seismicity extracted u-sing Higher-Order Statistics (HOS) method is discussed. At three stations, 3 months before the earthquakes, the magnitudes of the anomalies of Third Order Moment and Third Order Cumulant range 10 to 20, the magnitudes of the anomalies of Fourth Order Moments is over 120, up to 260, the magnitudes of the anomalies of Fourth Order Cumulant is 80-105. Comparing these results with those of the loading-unloading response ratio method, we find that HOS method has certain superiorities in standing out the secular to medium-term anomalies of geomagnetic field, and present the necessity of introducing the HOS method into the statistic study of seismomagnetic effect as well as the potential and prospect of HOS method in predicting earthquakes.
引文
[1] 熊仲华,刘运生.地磁观测技术[M].北京:地震出版社,1997.167-182.
[2]阿勃杜拉别可夫·卡·纳.地壳中的电磁现象[M].北京:学术书刊出版社,1990.
[3]扬诺夫斯基E M.地磁学[M].北京:地质出版社,1981.
[4] Duma G. Seismicity cycles in the Mt, Vesuvius area and their relation to solar flux and the variations of the earth's magnetic field [J]. Physics and Chemistry of the Earth, 1998, 23:927-931.
[5] Sasai, Yoichi. Piezomagnetic fields produced by dislocation sources[J]. Surveys in geophysics, 1994. 363-382.
[6] Schmucker U. An introduction to induction anomalies[J]. J Geomag Geoeletr ,1970, 22: 9-33.
[7]丁鉴海,卢振业,黄雪香.地震地磁学[M].北京:地震出版社,1994.220-284.
[8]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.
[9]李宏伟,程乾生.高阶统计量与随机信号分析[M].武汉:中国地质大学出版社,2002.1-58.
[10] Giannakis G B. Cumulants:A powerful tool in signal processing[J]. Proc IEEE,1987, 75:1333-1334.
[11] Mendel M. Tutorial on Higher-Order Statistics (spectra) in signal processing and system theory results and some applications[J]. Proc IEEE, 1991, 79(3): 278-305.
[12] Nikias L C, Raghuveer M R. Bispectrum estimation: A digital signal Processing framework[J]. Proc, IEEE, 1987, 75: 869-891.
[13]张浩,赵正予,谢树果,等.地磁脉动信号的双谱分析[J].武汉大学学报(理学版),2001,3: 351-354.
[14]尹成,伍志明,邓怀群.高阶统计量方法在地震勘探中的应用[J].地球物理学进展,2003,3: 546-550.
[15] 唐兵,尹成.基于高阶统计的非最小相位地震子波恢复[J].地球物理学报,2001,44(3):404-410.
[16]沈民奋,孙丽萍,沈风麟.心音信号的非高斯AR模型双谱分析[J].中国生物医学工程学报, 2000,19(1):72-77.
[17] 马石庄.地磁场长期变化的自洽正态统计模型[J].地球物理学报,1997,5:616-626.
[18]鲁秀玲,张创军,段锋,等.泾阳Ms4.8地震的磁效应研究[J].地震,1999,19(4):419-422.
[19]王卫东.泾阳4.8级地震的构造背景[J].西北地震学报,2002,24(2):145-149.
[20]杜兴信.兰州-西安-郑州电导率异常带[J].地震学报,1987,9(3):282-288.
[21] 同济大学概率统计教研室.概率统计[M].上海:同济大学出版社,1999.230-232.
[2]阿勃杜拉别可夫·卡·纳.地壳中的电磁现象[M].北京:学术书刊出版社,1990.
[3]扬诺夫斯基E M.地磁学[M].北京:地质出版社,1981.
[4] Duma G. Seismicity cycles in the Mt, Vesuvius area and their relation to solar flux and the variations of the earth's magnetic field [J]. Physics and Chemistry of the Earth, 1998, 23:927-931.
[5] Sasai, Yoichi. Piezomagnetic fields produced by dislocation sources[J]. Surveys in geophysics, 1994. 363-382.
[6] Schmucker U. An introduction to induction anomalies[J]. J Geomag Geoeletr ,1970, 22: 9-33.
[7]丁鉴海,卢振业,黄雪香.地震地磁学[M].北京:地震出版社,1994.220-284.
[8]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.
[9]李宏伟,程乾生.高阶统计量与随机信号分析[M].武汉:中国地质大学出版社,2002.1-58.
[10] Giannakis G B. Cumulants:A powerful tool in signal processing[J]. Proc IEEE,1987, 75:1333-1334.
[11] Mendel M. Tutorial on Higher-Order Statistics (spectra) in signal processing and system theory results and some applications[J]. Proc IEEE, 1991, 79(3): 278-305.
[12] Nikias L C, Raghuveer M R. Bispectrum estimation: A digital signal Processing framework[J]. Proc, IEEE, 1987, 75: 869-891.
[13]张浩,赵正予,谢树果,等.地磁脉动信号的双谱分析[J].武汉大学学报(理学版),2001,3: 351-354.
[14]尹成,伍志明,邓怀群.高阶统计量方法在地震勘探中的应用[J].地球物理学进展,2003,3: 546-550.
[15] 唐兵,尹成.基于高阶统计的非最小相位地震子波恢复[J].地球物理学报,2001,44(3):404-410.
[16]沈民奋,孙丽萍,沈风麟.心音信号的非高斯AR模型双谱分析[J].中国生物医学工程学报, 2000,19(1):72-77.
[17] 马石庄.地磁场长期变化的自洽正态统计模型[J].地球物理学报,1997,5:616-626.
[18]鲁秀玲,张创军,段锋,等.泾阳Ms4.8地震的磁效应研究[J].地震,1999,19(4):419-422.
[19]王卫东.泾阳4.8级地震的构造背景[J].西北地震学报,2002,24(2):145-149.
[20]杜兴信.兰州-西安-郑州电导率异常带[J].地震学报,1987,9(3):282-288.
[21] 同济大学概率统计教研室.概率统计[M].上海:同济大学出版社,1999.230-232.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心