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地震

地震 ›› 2006, Vol. 26 ›› Issue (1): 79-86.

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地震综合信息量S值在辽宁及邻近地区中强地震前变化特征研究

曹凤娟, 王海燕, 王安东   

  1. 辽宁省地震局, 辽宁 沈阳 110031
  • 收稿日期:2005-06-20 修回日期:2005-09-19 发布日期:2021-11-01
  • 作者简介:曹凤娟(1970-), 女, 辽宁沈阳人, 高级工程师, 主要从事地震学等研究。
  • 基金资助:
    “十五”科技攻关项目(2001BA601B01-01-04)

Study on variation characteristics of the earthquake synth- etical information variable S-value before earthquakes in Liaoning Province and its neighboring area

CAO Feng-juan, WANG Hai-yan, WANG An-dong   

  1. Earthquake Administration of Liaoning Province, Shenyang 110031, China
  • Received:2005-06-20 Revised:2005-09-19 Published:2021-11-01

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摘要： 一个地震前兆观测异常所提供的地震信息一般由异常地点、 异常变化量、 异常持续时间以及异常完成后的延续有效时间等诸多因素所决定, 因此提出了用于描述地震异常的前兆信息量S值。 根据地震前兆异常信息量综合数学表达式为基础, 充分结合平滑滤波、 消周期及趋势项和从属函数等数据处理方法, 对辽宁地区的22个前兆主要台项进行地震综合信息量S值的计算与提取。 结果表明, S值综合时序曲线在辽宁及邻区(37°～44°N, 117°～127°E)1980年以来的12次ML≥5.0地震震前均出现不同程度的高值异常(S值≥0.12), 通常在高值异常出现后1～6个月内辽宁及邻近地区有发生ML≥5.0地震的可能; S值的空间扫描图像也在震中附近(约150 km范围内)出现高值异常集中区。

关键词: 从属函数, 空间扫描, S值, 前兆异常

Abstract: The precursory anomaly of an earthquake can provide some precursory information, such as anomaly spot, anomaly variable, anomaly duration, and validated time after anomaly occurrence. All these clues define the precursory anomaly information variable, S-value to describe the earthquake anomaly. Based on the synthetic math expression of earthquake precursory anomaly information variable in this paper, by using some data processing methods, including the smooth filter canceled cycle, trend item and membership functions, we acquired the S-values according to the information provided by 22 main seismic stations in Liaoning area. Analyzing these S-values, we conclude that before 12 earthquakes with ML≥5.0 in Liaoning Province and its neighboring area (37~44°N, 117~127°E). S-value scheduling curve will present anomalous peak values (S≥0.12) in some degrees. It means that within 6 months of S-value peak, the earthquake (ML≥5.0) will happen in Liaoning. The spatial scanning of S-value also shows us that anomaly peaks are focused around the seismic epicenter, and earthquake will happen in a scope of 150 km around the epicenter.

Key words: Membership function, Spatial scanning, S-value, Precursory anomaly

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