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地震 ›› 2005, Vol. 25 ›› Issue (1): 97-102.

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泾阳MS4.8地震磁效应的高阶统计量方法研究

杨涛1, 刘庆生1, 付媛媛1, 李西京2   

  1. 1.中国地质大学地球物理与空间信息学院, 湖北 武汉 430074;
    2.陕西省乾陵地震台, 陕西 乾县 713300
  • 收稿日期:2004-05-24 修回日期:2004-09-08 出版日期:2005-01-31 发布日期:2021-11-10
  • 作者简介:杨涛(1980-), 男, 陕西洛南人, 2003年在读硕士研究生, 主要从事地磁学与岩石磁学等研究。
  • 基金资助:
    国家自然科学基金项目(49874026)及中国地质大学(武汉)自然科学基金资助

Study on the seismomagnetic effect of Jingyang MS 4.8 earthquake using higher-order statistical method

YANG Tao1, LIU Qing-sheng1, FU Yuan-Yuan1, LI XI-jing2   

  1. 1. Institute of Geophysics and Space Information, China University of Geosciences, Wuhan 430074;
    2. Qianling seismological station, Earthquake Administration of Shaanxi Province, Qianxian 713300, China
  • Received:2004-05-24 Revised:2004-09-08 Online:2005-01-31 Published:2021-11-10

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。

关键词: 震磁效应, 地磁变化, 高阶统计量, 泾阳地震

Abstract: 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 using 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.

Key words: Seismomagnetic effects, Geomagnetic variation, Higher-Order Statistics, Jingyang earthquake

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