基于主成分方法分析2013年甘肃岷县漳县6.6级地震前地磁日变化异常

doi:10.12196/j.issn.1000-3274.2022.01.009

Abstract

Abstract: In this paper, the geomagnetic vertical component data of Lanzhou, Tianshui and Sitan stations from 2013 to 2014 have been selected, and the harmonic components of 1~4 geomagnetic daily variation are eliminated by harmonic analysis. On this basis, the geomagnetic Z component data of three stations are analyzed by principal component analysis (PCA). The results show that the third principal component shows an apparent increase from April 20 to June 10, 2013, the abnormal precursory exceeds the threshold and lasts for about 50 days before the Minxian—Zhangxian M6.6 earthquake on July 22, 2013. Meanwhile, the eigenvetctor direction in the signal subspace also appears synchronous abnovmal disturbance, which recovers to the original level after the earthquake. These features are likely to be correlated with the 2013 Minxian—Zhangxian M_S6.6 earthquake, and it means that the PCA method is effective for detection of seismomagnetic anomalies.

Key words: PCA, Geomagnetic daily variation, Harmonic analysis, Geomagnetic anomaly

CLC Number:

P315.7

LI Jun-hui, HE Kang, WANG Yi-kun, WANG Xiao-li. Principal Component Analysis of Geomagnetic Daily Variation before the 2013 Minxian—Zhangxian M_S6.6 Earthquake, Gansu, China[J]. EARTHQUAKE, 2022, 42(1): 122-132.

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Principal Component Analysis of Geomagnetic Daily Variation before the 2013 Minxian—Zhangxian M_S6.6 Earthquake, Gansu, China

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Principal Component Analysis of Geomagnetic Daily Variation before the 2013 Minxian—Zhangxian MS6.6 Earthquake, Gansu, China

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Principal Component Analysis of Geomagnetic Daily Variation before the 2013 Minxian—Zhangxian M_S6.6 Earthquake, Gansu, China