Shifting Correlation Between Earthquakes and Electromagnetic Signals: A Case Study of the 2013 Minxian–Zhangxian ML 6.5 (MW 6.1) Earthquake in Gansu, China

The shifting correlation method (SCM) is proposed for statistical analysis of the correlation between earthquake sequences and electromagnetic signal sequences. In this method, the two different sequences were treated in units of 1 day. With the earthquake sequences fixed, the electromagnetic sequences were continuously shifted on the time axis, and the linear correlation coefficients between the two were calculated. In this way, the frequency and temporal distribution characteristics of potential seismic electromagnetic signals in the pre, co, and post-seismic stages were analyzed. In the work discussed in this paper, we first verified the effectiveness of the SCM and found it could accurately identify indistinct related signals by use of sufficient samples of synthetic data. Then, as a case study, the method was used for analysis of electromagnetic monitoring data from the Minxian–Zhangxian ML 6.5 (MW 6.1) earthquake. The results showed: (1) there seems to be a strong correlation between earthquakes and electromagnetic signals at different frequency in the pre, co, and post-seismic stages, with correlation coefficients in the range 0.4–0.7. The correlation was positive and negative before and after the earthquakes, respectively. (2) The electromagnetic signals related to the earthquakes might appear 23 days before and last for 10 days after the shocks. (3) To some extent, the occurrence time and frequency band of seismic electromagnetic signals are different at different stations. We inferred that the differences were related to resistivity, active tectonics, and seismogenic structure.

[1]  Jiancang Zhuang,et al.  Statistical analysis of ULF seismomagnetic phenomena at Kakioka, Japan, during 2001–2010 , 2014 .

[2]  H. Tanaka,et al.  Electric and magnetic phenomena observed before the volcano-seismic activity in 2000 in the Izu Island Region, Japan , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Qinghua Huang,et al.  Numerical simulation of coseismic electromagnetic fields associated with seismic waves due to finite faulting in porous media , 2012 .

[4]  Charles F. Richter,et al.  Magnitude and energy of earthquakes , 2010 .

[5]  M. S. Lazaridou,et al.  Latest aspects of earthquake prediction in Greece based on seismic electric signals, II☆ , 1993 .

[6]  Han Peng,et al.  Principal component analysis of geomagnetic diurnal variation associated with earthquakes:case study of the M6.1 Iwate-ken Nairiku Hokubu earthquake , 2009 .

[7]  Qinghua Huang,et al.  Seismic electromagnetic signals (SEMS) explained by a simulation experiment using electromagnetic waves , 1998 .

[8]  Y. Fujinawa,et al.  Electromagnetic radiations associated with major earthquakes , 1998 .

[9]  Cai Jun-tao Electromagnetic observation by satellite and earthquake prediction , 2007 .

[10]  K. Eftaxias,et al.  Relation between seismicity and pre-earthquake electromagnetic emissions in terms of energy, information and entropy content , 2012 .

[11]  ULF electric and magnetic anomalies accompanying the cracking of rock sample , 2003 .

[12]  Qinghua Huang,et al.  Selectivity of seismic electric signal (SES) of the 2000 Izu earthquake swarm: a 3D FEM numerical simulation model , 2010, Proceedings of the Japan Academy. Series B, Physical and biological sciences.

[13]  Masashi Kamogawa,et al.  Short-term earthquake prediction: Current status of seismo-electromagnetics , 2009 .

[14]  V. Hadjicontis,et al.  Signature of pending earthquake from electromagnetic anomalies , 2001 .

[15]  F. Dale Morgan,et al.  Electromagnetic precursors to earthquakes in the Ulf band: A review of observations and mechanisms , 1993 .

[16]  Qinghua Huang,et al.  Rethinking earthquake-related DC-ULF electromagnetic phenomena: towards a physics-based approach , 2011 .

[17]  N. Stanietsky,et al.  The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity , 2009, Proceedings of the National Academy of Sciences.

[18]  Qinghua Huang,et al.  Evaluation of ULF electromagnetic phenomena associated with the 2000 Izu Islands earthquake swarm by wavelet transform analysis , 2011 .

[19]  K. Eftaxias,et al.  Critical features in electromagnetic anomalies detected prior to the L’Aquila earthquake , 2009, 0905.2782.

[20]  Katsumi HattoriPeng Investigation of ULF Seismo-Magnetic Phenomena in Kanto, Japan During 2000-2010: Case Studies and Statistical Studies , 2013 .

[21]  Yuji Enomoto,et al.  Coupled interaction of earthquake nucleation with deep Earth gases: a possible mechanism for seismo-electromagnetic phenomena , 2012 .

[22]  Masashi Kamogawa,et al.  Preseismic anomalous telluric current signals observed in Kozu-shima Island, Japan , 2012, Proceedings of the National Academy of Sciences.

[23]  K. Eftaxias,et al.  Unfolding the procedure of characterizing recorded ultra low frequency, kHZ and MHz electromagnetic anomalies prior to the L'Aquila earthquake as pre-seismic ones - Part 2 , 2009, 0908.0686.

[24]  Guoze Zhao,et al.  Electromagnetic anomaly before earthquakes measured by electromagnetic experiments , 2009 .

[25]  Jun Liu,et al.  The Electromagnetic Phenomena Before the Ms8.0 Wenchuan Earthquake , 2010 .

[26]  C. King Earthquake prediction: Electromagnetic emissions before earthquakes , 1983, Nature.

[27]  Qinghua Huang,et al.  Retrospective investigation of geophysical data possibly associated with the Ms8.0 Wenchuan earthquake in Sichuan, China , 2011 .

[28]  Cheng-Ling Kuo,et al.  An improved coupling model for the lithosphere‐atmosphere‐ionosphere system , 2014 .

[29]  Wang Li Electromagnetic coseismic effect associated with aftershock of Wenchuan M_s8.0 earthquake , 2010 .

[30]  Wang Ai-guo,et al.  Geometric pattern and active tectonics in Southeastern Gansu province: Discussion on seismogenic mechanism of the Minxian-Zhangxian M(S)6. 6 earthquake on July 22, 2013 , 2013 .