The Behavior of VLF/LF Variations Associated with Geomagnetic Activity, Earthquakes, and the Quiet Condition Using a Neural Network Approach

Попова, Ирина Васильевна; Рожной, А.; Solovieva, M.; Chebrov, Danila; Hayakawa, Masashi

doi:10.3390/e20090691

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…Models proposed to describe their generation mechanisms invoke physical effects such as piezoelectricity, piezomagnetism and electrokinetic processes. During their propagation through the crust, the higher frequencies of seismo-associated disturbances are attenuated, and only the low-frequency components up to VLFs are supposed to reach the Earth's surface and propagate further into the near-Earth space [see e.g (Molchanov & Hayakawa 1998;Hayakawa et al 2010;Biagi et al 2008;Popova et al 2018)]. The interaction of these electromagnetic emissions with the ionospheric environment can cause different kinds of direct and indirect perturbations in the plasma component, as well as in the electromagnetic field and particles trapped in the Van Allen radiation belts.…”

Section: Scientific Goals Of Cses Missionmentioning

confidence: 99%

Scientific Goals and In-orbit Performance of the High-energy Particle Detector on Board the CSES

Picozza

Battiston

Ambrosi

et al. 2019

ApJS

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The CSES satellite aims to monitor electromagnetic-, particle-and plasma perturbations in the ionomagnetosphere and inner Van Allen radiation belts, originated by electromagnetic sources external and internal to the geomagnetic cavity, cosmic rays and solar events. In particular, the objective of the space mission is to investigate lithosphere-atmosphere-ionosphere coupling mechanisms (including effects of lightning, earthquakes, volcanoes and artificial electromagnetic emissions) that induce perturbations of the top side of the ionosphere and lower boundary of the radiation belts.To this purpose, the mission has been conceived to take advantage of a multi-instrument payload comprising nine detectors for the measurement of electromagnetic field components, plasma parameters and energetic particles, as well as X-ray flux. The Italian team participating in the CSES mission has built one of these devices, the High-Energy Particle Detector (HEPD), for high-precision observations of electrons, protons and light nuclei. During its trip along the orbit, and thanks to the large set of detectors operated on board, CSES completely monitors the Earth, acting as an excellent instrument for Space Weather.

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Section: Scientific Goals Of Cses Missionmentioning

confidence: 99%

Scientific Goals and In-orbit Performance of the High-energy Particle Detector on Board the CSES

Picozza

Battiston

Ambrosi

et al. 2019

ApJS

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“…Field studies show that various seismo-geomagnetic signals can be generated at the different stages of earthquake formation and occurrence [18,[23][24][25]. These include the mid-and long-term resistivity changes before the earthquake [26][27][28], mid-and short-term ultra-low-frequency (ULF) [14,[29][30][31][32][33] and very low frequency (VLF) geomagnetic field changes [34][35][36][37], and changes in the total electron content (TEC) over a short period of hours/minutes [38][39][40][41]. Annual mobile geomagnetic observation is one of the observed methods for the geomagnetic field, which carries out periodic and repeated mobile observations on many geomagnetic observation sites in a specific area.…”

Section: Introductionmentioning

confidence: 99%

Assessing Earthquake Forecasting Performance Based on Annual Mobile Geomagnetic Observations in Southwest China

Ni,

Chen,

Wang

et al. 2023

Atmosphere

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There have been reports about anomalies in mobile geomagnetic data before earthquakes; however, whether it can be used as an indicator for identifying potential earthquake areas was not be explored. In this study, we propose two parameters for earthquake forecasting based on annual mobile geomagnetic observation data. The spatial horizontal and three components’ changes are calculated in each year and then used to forecast moderate–large earthquakes (M ≥ 5.0) in southwest China in the subsequent period. It is found that earthquakes are more likely to occur in low H- or F-value regions. We statistically assess their forecasting performance by using Molchan’s error diagram, and the results indicate that there is considerable precursory information in the spatial H and F values. It is concluded that mobile geomagnetic observations might be useful in middle-term earthquake forecasts in the study area. We discuss the physical mechanisms of H and F values to explain their reasonability. The methodology proposed in this study could be helpful in finding out the optimal solution for annual mobile geomagnetic measurements for middle-term earthquake forecasting.

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“…It is claimed that it is possible to determine the area of about 300 km, where the epicenter of the earthquake was located. The study of variations in VLF signals has been conducted by various methods in recent years [ 4 , 13 , 14 ]. In particular, a recent paper [ 15 ] analyzed possible earthquake predictors in Nepal in April 2015 using data series from various sources, including VLF signals and the total electron content (TEC).…”

Section: Introductionmentioning

confidence: 99%

Spectral Analysis and Information Entropy Approaches to Data of VLF Disturbances in the Waveguide Earth-Ionosphere

Rapoport

Reshetnyk

Grytsai

et al. 2022

Sensors

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Very low frequency (VLF) signals are considered as an important tool to study ionosphere disturbances. We have studied variations in signal amplitude of the Japanese JJI transmitter received by a network of eight Japan stations. The distinctions between characteristics of daytime and nighttime disturbances are considered. Signal processing based on spectral analysis is used to evaluate typical periodicities in the VLF signals in the time range from minutes to hours. In particular, we have retrieved quasi-wave oscillations of the received signal with periods of 4–10 and 20–25 min, which can be associated with atmospheric gravity waves excited by the solar terminator, earthquakes or other reasons. In addition, oscillations at periods of 3–4 h are observed, probably, caused by long-period gravity waves. We also calculate the information entropy to identify main details in daily VLF variations and influence of solar flares. It is shown that the information entropy increases near sunrise and sunset with seasonal variation, and that solar flares also lead to the growth in information entropy. A theoretical interpretation is given to the typical features of ultra-low frequency modulation of VLF electronagnetic wave spectra in Waveguide Earth-Ionosphere, found by processing the experimental data.

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The Behavior of VLF/LF Variations Associated with Geomagnetic Activity, Earthquakes, and the Quiet Condition Using a Neural Network Approach

Cited by 8 publications

References 27 publications

Scientific Goals and In-orbit Performance of the High-energy Particle Detector on Board the CSES

Scientific Goals and In-orbit Performance of the High-energy Particle Detector on Board the CSES

Assessing Earthquake Forecasting Performance Based on Annual Mobile Geomagnetic Observations in Southwest China

Spectral Analysis and Information Entropy Approaches to Data of VLF Disturbances in the Waveguide Earth-Ionosphere

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