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地震 ›› 2003, Vol. 23 ›› Issue (4): 27-31.

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综合异常指数的进一步研究与应用

马禾青, 金春华, 张文孝, 马文娟   

  1. 宁夏回族自治区地震局, 宁夏银川 750001
  • 收稿日期:2003-03-24 修回日期:2003-06-15 出版日期:2003-10-31 发布日期:2021-12-21
  • 作者简介:马禾青( 1963-), 女, 山东青州人, 高级工程师, 主要从事地震预报等方面的研究。
  • 基金资助:
    “ 十五” 中国地震局科技攻关项目(01-03-06)

Further study and application of synthetical anomaly index

MA He-qing, JIN Chun-huan, ZHANG Wen-xiao, MA Wen-juan   

  1. Seismological Bureau of Ningxia Hui Autonomous Region, Yinchuan 750001, China
  • Received:2003-03-24 Revised:2003-06-15 Online:2003-10-31 Published:2021-12-21

摘要: 从指数分布函数出发对于基于多种地震前兆异常的综合异常指数进行了较为深入的探讨, 综合异常指数具有直接的数学来源, 蕴涵着明确的物理意义:将失效分布函数中的失效率分段取值, 并与地震研究中某种预测手段或方法所处的状态联系起来, 即取为某种预测手段或方法在某研究考察时段内的异常隶属度, 产品的失效则意味着该预测手段或方法出现了异常,得到异常指数;对其进行加权, 得到单项异常指数;对单项异常指数进行综合后即得到综合异常指数。综合异常指数包含了所研究的所有观测手段或方法所蕴涵的地震信息。最后将其具体应用于宁夏震情监视区, 进行了预测检验。发现对于1970 年后发生在宁夏及邻区的9 次中强地震事件, 综合异常指数均有较好的对应。

关键词: 综合异常指数, 指数分布, 地震前兆

Abstract: From the exponential distribution function, more deep going discussion has been made on the synthetical anomaly index based on many kinds of seismic precursory anomalies. Synthetical anomaly index has direct mathematical origin and contains clear physical meaning. The loss ef ficiency in loss ef fect distribution functio n has given values according to divided sections and related to the states of some predict ion means or methods in earthquake study.That is, it has given the anomaly degree of some prediction means or methods in certain study time. Loss effect of the product means that anomaly appears in the prediction means o r methods and the anomaly index has been got.After the anomaly index is weighted, the single anomaly index has been got.Having synthesized anomaly index, thesynthetical anomalt index has been got. Finally, it is used in Ningxia earthquake monitoring region and the prediction test is made.It has been found that the synthet ical anomaly index is better correlated with 9 moderately strong earthquake events occurred in Ningxia and its neighboring region.

Key words: Synthetical anomalyindex, Exponential distribution, Earthquake precursor

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