Application of Principal Component Analysis in Shanxi Geomagnetic Observatory
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摘要: 选取了布设在山西北部恒山断裂带两侧的5套GM4磁通门磁力仪记录的2015年10月到2016年6月的观测资料,利用主成分分析方法对这些数据进行分析,总结其变化特征。结果显示:第一到第四主成分的贡献率为91%;第一主成分与地磁活动Kp指数为正相关;第二到第五主成分无明显日变特征;第一主成分和其他主成分之间存在相关性,且为负相关。Abstract: The observation data from October 2015 to June 2016 record by 5 sets of GM4 flux-gate magnetometer on both sides of the Hengshan fault zone in the north of the Shanxi province are study using the Principal Component Analysis (PCA) method. The results show that the contribution of the first to the fourth principal component is about 91%; the first principal component is positively correlated with the Kp index of geomagnetic activity; the second to the fifth principal components has no obvious daily variation characteristics; there is also a negative correlation between the first and other principal components.
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Key words:
- geomagnetic observatories array /
- PCA /
- variation characteristics
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[1] 李琪, 李军辉, 杨冬梅, 等. 地磁ULF前兆信息研究简述[J]. 地震地磁观测与研究, 2008, 29(6):170-176. [2] Gotoh K, Hayakawa M, Smirnova N. Fractal analysis of the ULF geomagnetic data obtained at Izu peninsula, Japan in relation to the nearby earthquake swarm of June-Auguest 2000[J]. Natural Hazards and Earth System Science, 2003, 3(3/4):229-236. [3] 李琪. 国内外地磁台网观测能力评估[J]. 国际地震动态, 2007(9):20-28. [4] 方开泰. 实用多元统计分析[M]. 上海:华东师范大学出版社, 1989:286-295. [5] 王炜, 林命週, 马钦忠, 等. 主成分分析法在地震预测中的应用研究[J]. 中国地震, 2005, 21(3):409-416. -

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