Lithosphere–Atmosphere–Ionosphere–Magnetosphere Coupling—A Concept for Pre‐Earthquake Signals Generation

Пулинец, С. А.; Ouzounov, Dimitar; Karelin, A. V.; Davidenko, Dmitry

doi:10.1002/9781119156949.ch6

Cited by 45 publications

(41 citation statements)

References 51 publications

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“…Simultaneously with ionospheric data for the implementation of a synergistic approach in accordance with a complex model of lithosphere-atmospheric-ionosphere-magnetospheric coupling [11,19], it is proposed to use meteorological data (temperature and humidity of atmospheric air), for example, from the site https://meteoinfo.ru/ archive-pogoda, by which a generalized parameter is calculated, called the correction of the chemical potential of water vapor in the atmosphere [11]. If there are other sources of data on the impending earthquake in this region, for example, remote sensing data on thermal anomalies [18], they are also included in the process of intelligent processing.…”

Section: Creation Of a Model Of Automated Monitoring And Short-term Fmentioning

confidence: 99%

Principles of organizing earthquake forecasting based on multiparameter sensor-WEB monitoring data

et al. 2020

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The paper describes an approach that allows, basing on the data of multiparameter monitoring of atmospheric and ionospheric parameters and using ground-based and satellite measurements, to select from the data stream a time interval indicating the beginning of the final stage of earthquake preparation, and finally using intelligent data processing to carry out a short-term forecast for a time interval of 2 weeks to 1 day before the main shock. Based on the physical model of the lithosphere-atmospheric-ionospheric coupling, the precursors are selected, the ensemble of which is observed only during the precursory periods, and their identification is based on morphological features determined by the physical mechanism of their generation, and not on amplitude selection based on statistical data processing. Basing on the developed maquette of the automatic processing service, the possibility of real-time monitoring of the situation in a seismically active region will be demonstrated using the territory of the Kamchatka region and the Kuril Islands.

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Section: Creation Of a Model Of Automated Monitoring And Short-term Fmentioning

confidence: 99%

Principles of organizing earthquake forecasting based on multiparameter sensor-WEB monitoring data

et al. 2020

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“…Standing gravity waves (Hayakawa, 2011;Hayakawa et al, 2011Hayakawa et al, , 2018Pulinets et al, 2018). These Acoustic or Gravity waves affect the turbidity of the lower ionosphere, where sporadic Es-layers may appear too, as well as the turbidity of the F layer.…”

Section: Discussionmentioning

confidence: 99%

Lower Ionospheric Turbulence Variations During the Recent Activity of Etna’s Volcano, Sicily, in December 2018

2019

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In this paper, we present an investigation on the ionospheric turbulence from TEC observations before and during the recent activity of Etna’s Volcano. Mount Etna is located close to the eastern coast of Sicily. The last eruption of Etna volcano took place on 24 December 2018 while two days later (26 December, 02:19 UTC) an earthquake of M=5.0 occurred ~15 km to the ESE of the volcano, causing damage to the nearby city of Catania. The results of our investigation, on the occasion of the Etna’s Volcanic activity, indicate that the high-frequency limit fo of the ionospheric turbulence band content, is increasing with time to the volcano eruption while, at the same time, fo isdecreasing with distance from the volcano. We conclude that the LAIC mechanism through acoustic or gravity waves could explain this phenomenology, as it has happened in cases of earthquake activity. Our observations indicate that the effect of volcanic eruption on the band content of the ionospheric turbulence is insignificant at distances greater than 1000km (at the most), a fact that we must consider in our research on Ionospheric turbulence in relation to earthquake precursors research.

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“…Thereat, changes of atmospheric aerosol optical thickness (AOT) are analyzed more often. Thus, assessments of AOT changes, occurred before strong earthquakes in Chile (2010) and in Nepal (2015), showed an express increase (approximately by 40%) in vicinity of the epicenter several days before the main event [4]. Anomalies in AOT temporal and spatial variations were observed before, during and after each of eight strong earthquakes of M > 8.0 [5].…”

Section: Introductionmentioning

confidence: 93%

Variations of atmospheric aerosol parameters in periods of seismic activity in Tien–Shan

Sverdlik

2020

E3S Web Conf.

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Combination of numerical modeling (MERRA) and ground based (AERONET) monitoring of atmospheric aerosol parameters were used to discover a possible connection to seismic activities within the territory of Tien-Shan. The obtained results demonstrated consistent behavior between increase of aerosol optical thickness (AOT) and powerful earthquakes, epicenters of which were located within 200 km from the “Issyk-Kul” station (AERONET). Thereat, the dominant role was played by fine-dispersed particles, which virtually determined the nature of AOT evolution. We also observed well-defined changes of the ratio between mass fraction PM1.0 (particles less than 1.0 μm aerodynamic diameter) and optical thickness of aerosol scattering several days before an earthquake of M > 5.0 magnitude.

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Lithosphere–Atmosphere–Ionosphere–Magnetosphere Coupling—A Concept for Pre‐Earthquake Signals Generation

Cited by 45 publications

References 51 publications

Principles of organizing earthquake forecasting based on multiparameter sensor-WEB monitoring data

Principles of organizing earthquake forecasting based on multiparameter sensor-WEB monitoring data

Lower Ionospheric Turbulence Variations During the Recent Activity of Etna’s Volcano, Sicily, in December 2018

Variations of atmospheric aerosol parameters in periods of seismic activity in Tien–Shan

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