Earthquake prediction with electromagnetic phenomena

Hayakawa, Masashi

doi:10.1063/1.4941201

Cited by 32 publications

(22 citation statements)

References 13 publications

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“…), 2009, 2012, 2013, which are considered to be very promising for short-term EQ prediction. Among various electromagnetic precursors, there are a few phenomena which are already found to be statistically correlated with EQs.…”

Section: Introductionmentioning

confidence: 99%

On precursory ULF/ELF electromagnetic signatures for the Kobe earthquake on April 12, 2013

Schekotov

Izutsu

Hayakawa

2015

Journal of Asian Earth Sciences

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Section: Introductionmentioning

confidence: 99%

On precursory ULF/ELF electromagnetic signatures for the Kobe earthquake on April 12, 2013

Schekotov

Izutsu

Hayakawa

2015

Journal of Asian Earth Sciences

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“…Generally, these electromagnetic changes can be classified into two types: (1) perturbations in the atmosphere and the ionosphere; (2) electric and magnetic changes in the lithosphere. The latter are commonly recorded by passive ground-based observations [ 5 , 16 ]. The measurement of ultra-low-frequency (ULF: less than one Hertz) electromagnetic phenomena may be one of the most promising candidates, because of their deeper skin depths [ 1 , 2 , 8 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Potential Earthquake Precursory Information in ULF Magnetic Data Recorded in Kanto, Japan during 2000–2010: Distance and Magnitude Dependences

Han

Zhuang

Hattori

et al. 2020

Entropy

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In order to clarify ultra-low-frequency (ULF) seismomagnetic phenomena, a sensitive geomagnetic network was installed in Kanto, Japan since 2000. In previous studies, we have verified the correlation between ULF magnetic anomalies and local sizeable earthquakes. In this study, we use Molchan’s error diagram to evaluate the potential earthquake precursory information in the magnetic data recorded in Kanto, Japan during 2000–2010. We introduce the probability gain (PG′) and the probability difference (D′) to quantify the forecasting performance and to explore the optimal prediction parameters for a given ULF magnetic station. The results show that the earthquake predictions based on magnetic anomalies are significantly better than random guesses, indicating the magnetic data contain potential useful precursory information. Further investigations suggest that the prediction performance depends on the choices of the distance (R) and size of the target earthquake events (Es). Optimal R and Es are about (100 km, 108.75) and (180 km, 108.75) for Seikoshi (SKS) station in Izu and Kiyosumi (KYS) station in Boso, respectively.

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“…Electromagnetic phenomena related to the seismic events have been extensively analyzed by different scientific groups, and a variety of the short-term pre-seismic anomalous signals covering a wide range of frequencies from DC to very high frequency (VHF) using ground-based and satellite observation techniques are detected [ 1 ]. In the first category, important contributions are given [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ], while for the second one, the following papers are to be mentioned [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Furthermore, ionospheric perturbation related to seismicity have been detected with the use of very low frequency/low frequency (VLF/LF) signals, ionosondes, GPS Total Electron Content (TEC) observations, etc.…”

Section: Introductionmentioning

confidence: 99%

ULF Pre-Seismic Geomagnetic Anomalous Signal Related to Mw8.1 Offshore Chiapas Earthquake, Mexico on 8 September 2017

Stănică

2019

Entropy

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In the last decade, the real time ground–based geomagnetic observations realized in correlation with the Vrancea seismicity in Romania, together with supplementary studies related to some earthquakes (Mw9.0 Tohoku, Japan on 11 March 2011 and Mw8.3 Coquimbo, Chile on 16 September 2015), enlarged our knowledge about the relationship between the pre-seismic anomalous phenomena and the final stage of the earthquake nucleation. To identify possible ultra-low-frequency (ULF) geomagnetic signals prior to the onset of an Mw8.1 earthquake, we retroactively analyzed the data collected on the interval 1 August–16 September 2017 at the Geomagnetic Observatories in Teoloyucan (TEO), Mexico and Tucson (TUC) USA, with the last taken as a reference. Daily mean distributions of the polarization parameter BPOL (geomagnetic polarization parameter) and standard deviation are obtained for both observatories using a fast Fourier transform (FFT) band-pass filtering in the ULF range (0.001–0.083 Hz). Further on, we investigated the singularity of the pre-seismic signal associated with an Mw8.1 earthquake and applied a statistical analysis based on a standardized random variable equation; results are presented as BPOL* time series on the interval 1–26 September. Finally, the hourly mean distribution, obtained as difference BPOL (TUC-TEO) on the interval 7–9 September emphasizes an anomalous signal with five hours before the onset of the Mw8.1 earthquake.

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Earthquake prediction with electromagnetic phenomena

Cited by 32 publications

References 13 publications

On precursory ULF/ELF electromagnetic signatures for the Kobe earthquake on April 12, 2013

On precursory ULF/ELF electromagnetic signatures for the Kobe earthquake on April 12, 2013

Assessing the Potential Earthquake Precursory Information in ULF Magnetic Data Recorded in Kanto, Japan during 2000–2010: Distance and Magnitude Dependences

ULF Pre-Seismic Geomagnetic Anomalous Signal Related to Mw8.1 Offshore Chiapas Earthquake, Mexico on 8 September 2017

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