王岩, 曹凤娟, 王亮, 张博, 翟丽娜. 2016: 基于数据挖掘的东北华北MS≥5.0地震活动参数综合指标分析. 地震学报, 38(6): 906-913. DOI: 10.11939/jass.2016.06.010
引用本文: 王岩, 曹凤娟, 王亮, 张博, 翟丽娜. 2016: 基于数据挖掘的东北华北MS≥5.0地震活动参数综合指标分析. 地震学报, 38(6): 906-913. DOI: 10.11939/jass.2016.06.010
Wang Yan, Cao Fengjuan, Wang Liang, Zhang Bo, Zhai Lina. 2016: Comprehensive index analyses on seismic activity parameters based on data mining for MS≥5.0 earthquakes in northeast China and North China. Acta Seismologica Sinica, 38(6): 906-913. DOI: 10.11939/jass.2016.06.010
Citation: Wang Yan, Cao Fengjuan, Wang Liang, Zhang Bo, Zhai Lina. 2016: Comprehensive index analyses on seismic activity parameters based on data mining for MS≥5.0 earthquakes in northeast China and North China. Acta Seismologica Sinica, 38(6): 906-913. DOI: 10.11939/jass.2016.06.010

基于数据挖掘的东北华北MS≥5.0地震活动参数综合指标分析

Comprehensive index analyses on seismic activity parameters based on data mining for MS≥5.0 earthquakes in northeast China and North China

  • 摘要: 根据地震活动参数的数据特征,以2013年内蒙古科尔沁MS5.3地震为例,引入主成分分析和因子分析两种数据挖掘方法,在信息损失尽可能少的条件下,实现对参数变量的约简降维,并提取综合指标W.研究显示,2013年科尔沁MS5.3地震前两年,W值变化显著.在进一步的单因子分析中,从综合后的参数变量信息中重新提取了具有物理意义的多个单因子综合指标,消除了大量信息重叠所造成的不一致,实现了对综合指标的细化分析.在此基础上,对东北华北29次MS≥5.0地震的11个地震活动参数(频次Nb值,η值,A(b)值,Mf值,AC值,C值,D值,E值,Rm值,响应比Y)进行主成分分析,其结果显示,主成分综合指标W在震前1-2年均出现了明显的异常变化,这充分说明综合指标W可以用作地震预报研究的综合异常参考判据.

     

    Abstract: According to the data characteristics of seismic activity parameters, taking the MS5.3 Horqin, Inner Mongolia earthquake in 2013 for a typical case, the present paper introduces principal component analysis method and factor analysis method to reduce the dimension of parameter variables on the condition of information loss as little as possible, and extracts the comprehensive index. The result shows that the comprehensive index W had been changed significantly two years before the earthquake. Furthermore, by conducting factor analysis on Horqin earthquake, several single factor comprehensive indices with physical meanings are extracted, not only eliminating the inconsistency caused by the overlapping of information, but also achieving the refinement of the comprehensive index. In further research, the principal component analysis result about the eleven seismic activity parameters (N, b, η, A(b), Mf, AC, C, D, E, Rm, Y) of 29 earthquakes with MS≥5.0 in northeast China and North China shows that comprehensive index W of principal component analysis had obvious precursor changes in 1-2 years before the earthquakes. This suggests that the index W can be taken as a precursory in earthquake prediction research.

     

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