Aerosols and seismo-ionosphere coupling: A review

Namgaladze, A. A.; Карпов, М. И.; Knyazeva, M. A.

doi:10.1016/j.jastp.2018.01.014

Cited by 24 publications

(17 citation statements)

References 47 publications

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“…A comparison between the UAM calculation results with the seismic origin electric currents switched on (Figure 1c,d) and off (Figure 1b) shows that these positive GIM-TEC disturbances are not associated with seismogenic currents in accordance with the hypothesis of the aerosols role in the seismo-ionospheric relationship [12][13][14]. We suppose that these disturbances are related with the high geomagnetic activity.…”

Section: Discussionsupporting

confidence: 59%

Seismogenic Disturbances of the Ionosphere During High Geomagnetic Activity

2019

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Herein, we analyze the variations in the ionosphere for the period of two weeks before the M6.7 earthquake in India on January 3, 2016. The earthquake occurred after a series of magnetic substorms on December 31, 2015 and January 1, 2016. The relative total electron content (TEC) disturbances have been estimated using global TEC maps and calculated numerically using the 3D global first-principle Upper Atmosphere Model (UAM) for the whole period including the days before, during, and after the substorms. Numerical simulations were repeated with the seismogenic vertical electric currents switched on at the earthquake epicenter. The UAM calculations have reproduced the general behavior of the ionosphere after the main phase of the geomagnetic storm on January 1, 2016 in the form of negative TEC disturbances propagating from high latitudes, being especially strong in the Southern (summer condition) Hemisphere. It was shown that the local ionospheric effects of seismic origin can be identified in the background of the global geomagnetic disturbances. The seismo-ionospheric effects are visible in the nighttime regions with the additional negative TEC disturbances extending from the eastern side of the epicenter meridian to the western side, both in the observations and in the UAM simulations. It was found that the vertical electric field and corresponding westward component of the electromagnetic [E × B] drift played a decisive role in the formation of the ionospheric precursors of this earthquake.

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Section: Discussionsupporting

confidence: 59%

Seismogenic Disturbances of the Ionosphere During High Geomagnetic Activity

2019

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“…In [43], the "Lithosphere-atmosphere-ionosphere coupling" system was proposed to find convincing evidence of the ionosphere effect. At present, there are three main pathways of Lithosphere-Atmosphere-Ionosphere Coupling [44][45][46][47][48][49][50]: chemical, electromagnetic, and acoustic. The chemical pathway mainly refers to the influence of changes in geochemical parameters (gas or radon diffusion, change of water level, etc.,) on the ionosphere.…”

Section: Ionospheric Structure Anomaly Before Earthquakementioning

confidence: 99%

Multi-Dimension and Multi-Channel Seismic-Ionospheric Coupling: Case Study of Mw 8.8 Concepcion Quake on 27 February 2010

et al. 2021

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GPS radio occultation (RO) technology can fully describe the subtle structure of the ionosphere. This paper discusses the dynamic abnormity observed by the RO data from the Constellation Observing System for Meteorology Ionosphere and Climate (FORMOSAT-3/COSMIC) before the great earthquake case in Concepcion, Chile (27 February 2010, Mw 8.8). Traditional ground-based GPS monitoring was considered as the external conditions and references to the excitation response. Using kriging interpolation, the global Nmf2 map (GNM) was first constructed to study the ionosphere deviation from the normal state. Successively, the ionosphere abnormality in the F2 region (Nmf2), vertical structure (RO profiles), and multiple heights (electron density) of traveling are unfolded. The Nmf2 disturbances in the possibility of seismic influences were excluded from non-seismic noise factors, including the external input (e.g., space weather activity, 15 February) and meteorological events (e.g., lower atmospheric forcing in quiet periods). However, the results show that there were apparent local Nmf2 perturbations for up to 5 h in the epicenter area on 21 and 25 February. The disturbances of the RO profiles and the interaction of other layers of the ionosphere implied the fluctuation signals of prominent long-wavelength fluctuations >50 km in the F layer. The ionospheric fluctuates wildly, and these wave signals considered as the trace of gravity wave propagating upward are mainly distributed at the elevation of 200–300 km. The simultaneous reaction of GNSS TEC further evidenced the potential possibility of acoustic gravity by the COSMIC RO profiles, reflecting the compounding couplings of seismo-ionosphere effects. In terms of the presentation of VLF radiation noise and the aerosol ion clusters, the electromagnetic and chemical channels have been previously completed by DEMETER and Terra/Aqua satellites. These findings implied the great potential of the FORMOSAT-7/COSMIC-2 system (now in the testing phase), with ~5000 soundings to investigate the subtle atmospheric stratification.

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“…The process is quasi-static, since there are no convective drives from external sources dominating the movement of generated ions and ion-ion recombination would be the major sink due to less collision with aerosol particles. In this case, any convective/seismic driven ow of ions in vertical direction would result in the generation of extraneous current (Sorokin et al, 2007;Namgaladze et al, 2018). This current generations add to the global electric circuit current, and under enhanced conditions could result in ionospheric perturbations (Sorokin et al, 2020).…”

Section: Radon and Ion Production Ratementioning

confidence: 99%

“…This enhances the generation of charged aerosols, ion cluster formation, as well as other nucleation processes. Radon exhalation and atmospheric aerosols dynamics play a great role in understanding atmospheric electrical processes, especially in the study of seismicionospheric coupling (Namgaladze et al, 2018;Namgaladze and Karpov, 2015;Pulinets, 2012). Model estimates were presented focusing on the contribution of cosmic radiation to lower tropospheric ionization (Bazilevskaya et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Long Short Term Memory Networks (LSTM)-Monte-Carlo Simulation of Surface Ionization Using Radon

Muhammad¹,

Külahçı²,

Salh³

et al. 2021

SSRN Journal

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Earthquake events are usually associated with the atmospheric processes modi cation. Some of the important events in seismic periods include the atmospheric electricity/conductivity modi cation, which is often related to the ion population in the earthquake preparation area vicinity. Radon, together with cosmic radiation is the major ionization sources in the lower troposphere. The ion-pair production rate is estimated as caused by radon in Erzincan, a city along the North Anatolian Fault Zone, Turkey. Long short term memory and Monte Carlo methods are proposed to account for uncertainty in the estimations and also in the radon data to simulate the ion production rate. The advantage of the LSTM model is taken to study radon anomalies during the M=5 Girlevik earthquake, Erzincan. Radon concentration in Erzincan is found to be very high when compared to other regions, and this might relate to the geological settings of the region. Radon concentration is found to increase prior to the 5.0 Girlevik earthquake. According to estimations, 23×10 9 ion-pairs m -3 s -1 were generated during the earthquake. The ion production estimation rate due to radon and its progeny in Erzincan is at the order of 10 9 ion-pairs m -3 s -1 . When added to other ionization sources more pronounced conditions could favor ionospheric perturbations. Ionospheric disturbance simulations would be signi cant in regions with high radon concentration for understanding atmospheric processes.

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Aerosols and seismo-ionosphere coupling: A review

Cited by 24 publications

References 47 publications

Seismogenic Disturbances of the Ionosphere During High Geomagnetic Activity

Seismogenic Disturbances of the Ionosphere During High Geomagnetic Activity

Multi-Dimension and Multi-Channel Seismic-Ionospheric Coupling: Case Study of Mw 8.8 Concepcion Quake on 27 February 2010

Long Short Term Memory Networks (LSTM)-Monte-Carlo Simulation of Surface Ionization Using Radon

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