基于数据挖掘的东北华北M_S≥5.0地震活动参数综合指标分析

发布时间：2018-06-24 13:20

  本文选题：地震活动参数 + 主成分分析　； 参考：《地震学报》2016年06期

【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N,b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 2013 Horqin MS 5.3 earthquake in Inner Mongolia as an example, two data mining methods, principal component analysis and factor analysis, are introduced to realize the reduced dimension of parameter variables under the condition that the information loss is as little as possible. And extract the comprehensive index W. The results show that two years before the 2013 Horqin MS 5.3 earthquake, the W value changed significantly. In the further single factor analysis, several single factor synthesis indexes with physical meaning are reextracted from the synthesized parameter variable information, which eliminates the inconsistency caused by a large amount of information overlapping, and realizes the detailed analysis of the synthesis index. On this basis, the principal component analysis (PCA) of 11 seismicity parameters (frequency nb value, 畏 value A (b) value Mf value, AC value C value, D value and E value R m, response ratio Y) of 29 earthquakes with MS 鈮，

本文编号：2061656