associated with Panzhihu associated with Panzhihu a Ms 6.1 earthquake a Ms 6.1 earthquake - the preparatory result - the preparatory result Li Junhui Li Junhui 1 1 、 、 3 3 Li Qi Li Qi 2 2 Yang Dongmei Yang Dongmei 2 2 1 Seismological Bureau of Anhui, Hefei, China. 1 Seismological Bureau of Anhui, Hefei, China. 2 Institutes of Geophysics, CEA, Beijing 2 Institutes of Geophysics, CEA, Beijing 3 3 、 、 National Geophysical Observatory at Mengcheng National Geophysical Observatory at Mengcheng , , Hefei Hefei 230031 e-mail 230031 e-mail : : [email protected][email protected]
19
Embed
Li Junhui 1 、 3 Li Qi 2 Yang Dongmei 2 1 Seismological Bureau of Anhui, Hefei, China.
Principal component analysis of geomagnetic data associated with Panzhihua Ms 6.1 earthquake - the preparatory result. Li Junhui 1 、 3 Li Qi 2 Yang Dongmei 2 1 Seismological Bureau of Anhui, Hefei, China. 2 Institutes of Geophysics, CEA, Beijing - PowerPoint PPT Presentation
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Principal component analysis of geomaPrincipal component analysis of geomagnetic data associated with Panzhihua gnetic data associated with Panzhihua
Ms 6.1 earthquakeMs 6.1 earthquake - the preparatory result- the preparatory result
Li JunhuiLi Junhui11 、、 33 Li Qi Li Qi22 Yang Dongmei Yang Dongmei22
1 Seismological Bureau of Anhui, Hefei, China. 1 Seismological Bureau of Anhui, Hefei, China. 2 Institutes of Geophysics, CEA, Beijing 2 Institutes of Geophysics, CEA, Beijing
33 、、 National Geophysical Observatory at MengchengNational Geophysical Observatory at Mengcheng ,, Hefei 230031 e-Hefei 230031 e-mailmail :: [email protected]@mail.ustc.edu.cn
Table of contentsTable of contents
Ms 6.1 Pan Zhihua earthquake and Ms 6.1 Pan Zhihua earthquake and observations site.
PCA methodPCA method
PCA result of this earthquakePCA result of this earthquake
Discussion and conclusionDiscussion and conclusion
(( H, D[declination], Z[vertical]H, D[declination], Z[vertical] ))• ObservatoryObservatory Nanshan HUILi PingdiNanshan HUILi Pingdi• SamplingSampling 1Hz1Hz• Analysis termAnalysis term Jan 1 Jan 1 200 20088 – Dec 31 200 – Dec 31 20088• Feb march April No data Feb march April No data
1Hz 1Hz sample per 30 min 3 stations yNS(1:1800) ,yPD(1:1800),yHL(1:1800).
Y=[yNST, yPD
T yHLT]; Transpose matrix
variance matrix R=YYT ;
Calculate the eigenvalue of R 入 1 ,入 2 ,入 3 (入 1> 入 2> 入 3 ) .
3 temproal eigenvalue sequence
Signals observed on the ground-Signals observed on the ground-based magnetometerbased magnetometer
Katsumi Hattori 2004
Result of PCA JapanResult of PCA Japan
三、 三、 PCA result PCA result
The variation of first principal component with that of Ap index in April, 2008.
The variation of first principal componentThe variation of first principal component
The variation of second principal componentThe variation of second principal component
The variation of third principal component
analysis of the third analysis of the third principal component
选取台站周围选取台站周围100Km100Km 范围范围内地震。内地震。
计算地震释放计算地震释放能量能量
与第三主成分与第三主成分对比分析。对比分析。
The variation of third principal component 2008
Select May to SeptemberSelect May to September
四 四 Discussion and conclusionDiscussion and conclusion The first principal component is found to be thThe first principal component is found to be th
e signal originated in the solar–terrestrial effece signal originated in the solar–terrestrial effects such as geomagnetic pulsation. ts such as geomagnetic pulsation.
the second principal component, the local artithe second principal component, the local artificial noise is included.ficial noise is included.
the smallest third component in the local midthe smallest third component in the local midnight at the Panzhuhua region, it indicated incnight at the Panzhuhua region, it indicated increase in the third eigenvalue about 40 days befrease in the third eigenvalue about 40 days before the large earthquake. ore the large earthquake.
These features are likely to be correlated with These features are likely to be correlated with large earthquake. large earthquake.