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地震 ›› 1998, Vol. 18 ›› Issue (S1): 15-20.

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利用磁暴预报地震的研究

陈绍明, 赵英萍, 杜锡武, 谢美娟   

  1. 中国石家庄 050021 河北省地震局
  • 收稿日期:1998-06-03 修回日期:1998-07-01 出版日期:1998-10-20 发布日期:2022-09-30
  • 作者简介:陈绍明,男,1936年10月出生,高级工程师,主要从事地磁学预报地震的研究工作。
  • 基金资助:
    ①国家地震局“八五”科研攻关项目(85-04-02-06-03)成果之一

RESEARCH ON EARTHQUAKE PREDICTION BY USING MAGNETIC STORM

Chen Shaoming, Zhao Yingping, Du Xiwu, Xie Meijuan   

  1. Seismological Bureau of Hebei Province, Shijiazhuang 050021, China
  • Received:1998-06-03 Revised:1998-07-01 Online:1998-10-20 Published:2022-09-30

摘要: 研究了磁暴与地震的关系,结果表明磁暴中的垂直分量极大值变幅比值与中强以上地震有较好的对应关系。分区统计华北、西南和西北10~20年资料,得到各地区极大值变幅比值异常距发震日期的最佳时间段。当地震孕育过程已确认进人短临阶段,利用上述方法可提供预报发震时间指标。在预报震中区方面,发现有些地震在发震之前,其震中附近的磁暴Z日变幅比其他地区明显增大,超出通常磁暴日变幅随纬度升高而增大的规律,显示出地区的差异性。按照上述方法,对1993年华北地区地震进行检验,效果良好。

关键词: 磁暴, 地磁垂直分量, 地磁日变化, 预报指标

Abstract: Through study of the relation between magnetic storm and seismicity, the authors have found that there is a better corresponding relation between the maximum variation amplitude ratio of the vertical component of magnetic storm and moderate and strong earthquakes. On the divisional statistics of the data observed for 10~ 20 years in North China, Southwest China and Northwest China, the best time period of the ratio anomaly of maximum variation amplitude in each region before earthquake date can be obtained. When seismogenic process reaches the short and imminent stage, the time index for earth-quake occurrence can be provided by the above-mentioned method. As for the prediction of the epicentral region concerned, it is found that before earthquake occurrence, the daily variation amplitude of magnetic storm Z near the epicenter is obviously greater than that of other regions, which breaks the regular rule that the daily change of normal magnetic storm increased with the higher of latitude, and appeared difference with each region. Ac-cording to the method mentioned above, earthquakes occurred in 1 993 in North China have been tested.

Key words: Magnetic storm, Geomagnetic vertical component, Geomagnetic daily change, Prediction index