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主成分分析法在林甸Ms5.1地震回顾性预测中的应用
引用本文:李永振.主成分分析法在林甸Ms5.1地震回顾性预测中的应用[J].东北地震研究,2008,24(2):29-34.
作者姓名:李永振
作者单位:铁岭地震台,辽宁,铁岭,112001
摘    要:用2005年林甸Ms5.1级地震前后震中附近的地震资料,选择与地震强度有关的3级以上地震频次N、b值、Mf值、C值、和Ac值等6个参量进行主成分分析,实现对上述参量的有效约简。这6个参量之间有一定的相关性,各参量在不同时段的变化各有所异,预报效果并不理想。但是根据主成分分析可以得到反映地震强度的综合指标W,发现该指标在震源区附近出现明显的异常变化,震后异常恢复。表明综合指标W可以较好的反映地震活动的异常特征。

关 键 词:主成分分析  相关性  特征向量  贡献率

APPLICATION ON THE PRIMARY COMPONENT ANALYSIS METHOD IN LINDIAN Ms5.1 EARTHQUAKE REVIEW PREDICTION
LI Yong-zhen.APPLICATION ON THE PRIMARY COMPONENT ANALYSIS METHOD IN LINDIAN Ms5.1 EARTHQUAKE REVIEW PREDICTION[J].Seismological Research of Northeast China,2008,24(2):29-34.
Authors:LI Yong-zhen
Institution:LI Yong-zhen (Tieling Seismic Station, Liaoning Tieling 112001, China)
Abstract:The primary component analysis were made by the data near the seismic epicenter of Lindian MsS.1 earthqauake and selecting the parameter N (ME ≥3.0), b, η, Mf, c, Ac, value which had relation to the earthquake strenth, it was achieved to reduce the above-metioned parameters effectively. There were some relativities among 6 parameters and each one was different in distinct stages, but the earthquake intensity synthetic index W can be gained by the primary component analysis. W value showed obvious anomalies before Lindian earthquake and returned to normal after that. It showed that the synthetic index W can reflect the anomolous characteristics of the seismicity.
Keywords:primary component analysis method  relativity  eigenvector  contribution rate
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