Research Papers
Principal Component Analysis of Geomagnetic Data for the Panzhihua Earthquake (Ms 6.1) in August 2008
Authors:
Junhui Li ,
Seismological Bureau of Anhui, Hefei 230031, China
Qi Li,
Institutes of Geophysics, CEA, Beijing 100086, China
Dongmei Yang,
Institutes of Geophysics, CEA, Beijing 100086, China
Xingzhou Wang,
Seismological Bureau of Anhui, Hefei 230031, China.
National Geophysical Observatory at Mengcheng, Hefei 230031, China
Dequan Hong,
Seismological Bureau of Anhui, Hefei 230031, China.
National Geophysical Observatory at Mengcheng, Hefei 230031, China.
Kang He
Seismological Bureau of Anhui, Hefei 230031, China
Abstract
Principal component analysis is applied to analyze the horizontal component of geomagnetic data for the Panzhihua Ms 6.1 earthquake. We investigate temporal variations in eigenvalues and find that only the first principal component has good correlation with the Ap index for which the cross-correlation correlation R is larger than 0.6, which may imply solar-terrestrial activity. Both the second and third principal components show clear daily variation, being high during work hours and low at night and on weekends. The mean eigenvalue of the third component at night (00:00-04:00 LT) increased about 40 days before the earthquake and returned to normal 10 days before the earthquake. These features are likely to be correlated with the earthquake.
How to Cite:
Li, J. et al., (2011). Principal Component Analysis of Geomagnetic Data for the Panzhihua Earthquake (Ms 6.1) in August 2008. Data Science Journal. 10, pp.IAGA130–IAGA138. DOI: http://doi.org/10.2481/dsj.IAGA-20
Published on 20 Jul 2011.
Peer Reviewed
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