PCA METHOD IN DETECTION OF IONOSPHERIC TEC ANOMALIES
BEFORE EARTHQUAKE
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079
Abstract We analyzed 17 M≥6.0 earthquakes which occurred in the mainland of China from 2007 to 2011 by Total Electron Content (TEC) provided by IGS web. We used Principal Component Analysis(PCA) method to detect the TEC anomalies over the epicenter and compared with the method of sliding window statistics. The results show that the PCA analysis is not affected by geomagnetic storm, and broadly consistent with the results of the analysis of the two statistical methods. There are significant abnormalities in the same time and space. Ionospheric TEC anomalies are mainly concentrated in the 0-5 days before the earthquake.
Key words :
principal component analysis
ionospheric
anomaly
total electron content
earthquake
Received: 23 October 2012
Published: 16 August 2013
Cite this article:
Tang Jun,Yao Yibin,Chen Peng et al. PCA METHOD IN DETECTION OF IONOSPHERIC TEC ANOMALIES
BEFORE EARTHQUAKE[J]. jgg, 2013, 33(4): 22-25.
Tang Jun,Yao Yibin,Chen Peng et al. PCA METHOD IN DETECTION OF IONOSPHERIC TEC ANOMALIES
BEFORE EARTHQUAKE[J]. jgg, 2013, 33(4): 22-25.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I4/22
[1]
GAO Meng,WANG Shunshun,WANG Cao,ZHU Huizhong,XU Aigong. Research on the Algorithm of Triple-Frequency BDS RTK between Middle-Range Baseline [J]. jgg, 2022, 42(1): 5-8.
[2]
ZHANG Kexin,TIAN Chongrui,JIAO Jian,ZENG Qiming. Research on Smoothing in InSAR Ionospheric Correction [J]. jgg, 2022, 42(1): 29-34.
[3]
LIANG Shichuan,QU Wei,CHEN Hailu,GAO Yuan,LI Jiuyuan,LI Da. Source Parameter Inversion and Seismogenic Tectonic of the Nyima MW 6.3 Earthquake in Tibet on July 23, 2020 Based on InSAR [J]. jgg, 2022, 42(1): 71-76.
[4]
LI Xiaohan,ZHENG Jianchang. Study on the Characteristics of Small Earthquake Clustering in Jiaodong Peninsula Area [J]. jgg, 2022, 42(1): 77-81.
[5]
WEI Jin,Lü Pinji,HAO Hongtao,WANG Jianwei,LI Ning,HU Minzhang. Study on the Anomalies of the Double Frequency Microseisms before Yingcheng MS 4.9 Earthquake [J]. jgg, 2022, 42(1): 88-95.
[6]
XIE Xinglong,REN Zhengwei,YE Zhennan,WANG Gaofeng,LI Qiuchen,MA Xuemei. Shallow Geophysical Exploration and New Understanding of Lixian-Luojiabu Fault Zone [J]. jgg, 2022, 42(1): 82-87.
[7]
TANG Jun,LI Yinjian,ZHONG Zhengyu,GAO Xin. Prediction Model of Ionospheric TEC by EOF and LSTM Neural Network [J]. jgg, 2021, 41(9): 911-915.
[8]
YANG Qiulian,ZHAO Zhen,HU Zhigang. Analysis of SBAS B1c Grid Ionospheric Algorithm Correction for BDS-3 [J]. jgg, 2021, 41(9): 916-919.
[9]
BO Wanju,ZHENG Zhijiang,WU Yanqiang,ZHANG Licheng,ZHANG Shuangxi,WANG Tongqing,CHANG Liu. Study on the Relationship between GNSS Vertical Deformation and Precision Leveling Vertical Deformation——Take the Tianshan Tectonic Belt as an Example [J]. jgg, 2021, 41(9): 881-885.
[10]
YUAN Weina,SHI Fuqiang,WU Jing. Cumulated Stress Changes and Its Implications for Current Seismic Activities in North China [J]. jgg, 2021, 41(9): 939-944.
[11]
LI Zhongya,HU Minzhang,HAO Hongtao,LI Hui. Resesrch on Gravity Field Variations Relative to 2017 Jiuzhaigou MS 7.0 Earthquake Based on Spherical Harmonic Analysis Method [J]. jgg, 2021, 41(9): 949-953.
[12]
YANG Jianwen,YE Beng,CHEN Jia,GAO Qiong,WANG Jun. GNSS Continuous Observation Short-Term Anomaly Index Extraction and Effectiveness Evaluation in Yunnan Area [J]. jgg, 2021, 41(9): 973-978.
[13]
ZHOU Yang. Seismic Data Prediction Based on Regression Model of Nuclear Mixed Effects [J]. jgg, 2021, 41(9): 967-972.
[14]
CHEN Huifang,LIN Binhua,ZHANG Yanming,CAI Xinghui,YU Weiheng. Precise Determination of the Focal Depth of Taiwan Strait M6.2 Earthquake by sPn Phase [J]. jgg, 2021, 41(8): 853-857.
[15]
HUANG Xiaomei,CHEN Qiang,ZHANG Yijun,YANG Yinghui,JIN Xin,JIANG Ziqin. Analysis of the July 2019 Ridgecrest Earthquake and Aftershocks Using Double-Difference Relocation [J]. jgg, 2021, 41(8): 858-864.