Regularities in the manifestation of earthquake precursors in the ionosphere and near-surface atmospheric electric fields in Kamchatka

Korsunova, L. P.; Khegai, V. V.; Mikhailov, Yu. M.; Смирнов, С. Э.

doi:10.1134/s0016793213020084

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…where ∆T is the time from the beginning of an anomaly to an earthquake (day), Ris the distance from the observation point to an epicenter (km), and ML is the local magnitude [23]. Formula (1) is for anomalies in the ionosphere, and Formula (2) is for anomalies in the PG.…”

Section: Main Results and Discussionmentioning

confidence: 99%

Negative Anomalies of the Earth’s Electric Field as Earthquake Precursors

Смирнов

2019

Geosciences

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Section: Main Results and Discussionmentioning

confidence: 99%

Negative Anomalies of the Earth’s Electric Field as Earthquake Precursors

Смирнов

2019

Geosciences

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“…In 2004, research teams led by Japanese scientist Hayakawa [58] and Russian scientist Pulinets [59] proposed the multi-path lithosphere-atmosphere-ionosphere coupling model (LAIC) and the unified circle coupling model, respectively. Both models posit that the AEF anomaly observed in the atmosphere serves as a crucial aspect of the model and originates from the geological activities preceding an earthquake [60][61][62]. Regarding the Yangbi earthquake, subsequent field explorations conducted by Chinese scholars revealed varying degrees of changes in radon, mercury content, chloride ion, and sulfate ion concentrations in underground and hot spring water before and after the Ms 6.4 earthquake.…”

Section: Discussionmentioning

confidence: 99%

Identification and Analysis of Multi-Station Atmospheric Electric Field Anomalies before the Yangbi Ms 6.4 Earthquake on 21 May 2021

Nie,

Zhang

2023

Atmosphere

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This study reports the atmospheric electric field (AEF) anomalies associated with seismic-geological activity recorded by the monitoring network in the Sichuan–Yunnan region of China during the 15–30 days prior to the Yangbi earthquake in Yunnan Province, China, on 21 May 2021. Based on the real-time AEF data from continuous observation, this study summarized the characteristics of the anomalous interference of different meteorological factors on the AEF, compared the simultaneous meteorological data of the AEF anomalies, and ruled out the influence of precipitation, wind, fog, and other weather factors on the AEF anomalies in Yangbi County prior to the Yangbi Ms 6.4 earthquake. The AEF anomalies were identified and extracted from the two-month data from 1 April to 1 June, which were from multiple days, stations, and rupture zones near the 100 km radius from the epicenter of the Yangbi Ms 6.4 main earthquake. Using time series and wavelet transform analysis methods, the obvious common features of the anomalies were summarized, and the homology of the anomalies was verified. The main outcome of the investigation in this study will be used to distinguish and characterize the AEF anomalies associated with pre-seismic geologic activity of non-meteorological elements in the near future.

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“…The near-surface atmospheric electric field (AEF) is a fundamental and vital variable in atmospheric electricity [1,2], which reflects distribution status of atmospheric static charges in the surrounding environment. In addition, it serves as a crucial foundation for studying solar activities, understanding the relationship between global atmospheric circuit models and climate change, monitoring earthquake precursors [3][4][5][6][7][8][9][10][11][12], and issuing of thunderstorm warnings [13][14][15]. Wilson et al [16] proposed a global atmospheric circuit model in 1921, highlighting that the intensity of fair-weather atmospheric electric fields is influenced not only by underground radioactive materials such as radon but also by galactic cosmic rays, solar cosmic rays, relativistic electrons, and solar activity [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Observations and Variability of Near-Surface Atmospheric Electric Fields across Multiple Stations

Li,

Sun,

Yan

et al. 2024

Atmosphere

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The near-surface atmospheric electrostatic field plays a pivotal role in comprehending the global atmospheric circuit model and its influence on climate change. Prior to delving into the intricate interplay between solar activities, geological activities, and atmospheric electric field, a comprehensive examination of the diurnal fair atmospheric electric field’s baseline curve within a specific region is essential. Based on the atmospheric electric field network monitoring in Yunnan Province in the year 2022, this study systematically investigated the distribution of the atmospheric electric field under both fair-weather and disturbed weather conditions at a quadrilateral array encompassing Chuxiong Station, Mouding Station, Lufeng Station, and Dali Station. The primary focus was on elucidating the variations in the daily variation curves of fair atmospheric electric fields and conducting a comparative analysis with the Carnegie curves. The possible reasons for the differences among them are also discussed in this study, but more observational evidence is required to confirm the specific causes in the future.

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Regularities in the manifestation of earthquake precursors in the ionosphere and near-surface atmospheric electric fields in Kamchatka

Cited by 11 publications

References 10 publications

Negative Anomalies of the Earth’s Electric Field as Earthquake Precursors

Negative Anomalies of the Earth’s Electric Field as Earthquake Precursors

Identification and Analysis of Multi-Station Atmospheric Electric Field Anomalies before the Yangbi Ms 6.4 Earthquake on 21 May 2021

Observations and Variability of Near-Surface Atmospheric Electric Fields across Multiple Stations

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