Ionosphere Disturbances Preceding Earthquakes according to the Data of Ground Based Station of the Vertical Ionospheric Sounding Wakkanai

Пулинец, С. А.; Legen’ka, A. D.; Hegai, V. V.; Kim, V. P.; Korsunova, L. P.

doi:10.1134/s0016793218050110

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…However, in the following 1-5 h before the quake, the anomalies showed a tendency to become farther away with time. It may be that the perturbed electric field caused by the earthquake increases the equatorial fountaining effect [54,55], which intensifies the equatorial ionization anomaly (EIA). It can be seen in the sub-panel at UT12 in Figure 3e that the northern crest of EIA is enhanced .…”

Section: Spatial and Temporal Distribution Of Tec Anomaliesmentioning

confidence: 99%

The Analysis of Ionospheric TEC Anomalies Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data

Jia,

Liu,

Zhang

2024

Remote Sensing

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The position between BeiDou geostationary Earth orbit (GEO) satellites and ground-based receiving stations can roughly be considered to be constant with negligible fluctuations; thus, the total electron content (TEC) data over a fixed ionospheric piercing point (IPP) can be continuously acquired, which is advantageous for monitoring ionospheric disturbances. Focused on the Jiuzhaigou Ms7.0 earthquake that occurred on 8 August 2017, the TEC data inverted by the BeiDou GEO satellite were analyzed to extract ionospheric disturbances potentially associated with the earthquake. It was found that significant anomalies in ionospheric TEC occurred 10–11 days, 6–7 days, and 1–9 h prior to the earthquake, which was mainly located in the southeast and southwest directions within about 2500 km distance from the epicenter. Comparing the spatial and temporal characteristics between the ionospheric disturbance and the radon gas near the surface, the atmospheric electric field, and the spectrum of TEC data, it was considered that the chemical and acoustic–gravity wave pathway may play an important role in the lithosphere–atmosphere–ionosphere coupling (LAIC) mechanism.

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Section: Spatial and Temporal Distribution Of Tec Anomaliesmentioning

confidence: 99%

The Analysis of Ionospheric TEC Anomalies Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data

Jia,

Liu,

Zhang

2024

Remote Sensing

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“…Отмечается, что максимум вариаций TEC обычно располагается в близости от эпицентра [Klimenko et al, 2011]. Исследования сейсмоионосферных эффектов также активно проводятся по данным наземного радиозондирования [Pulinets et al, 2015[Pulinets et al, , 2018. Показано, что значимые отклонения критической частоты слоя F2, а также изменения параметров слоя E зачастую наблюдаются в перио-ды подготовки сильных коровых землетрясений [Chistyakova et al, 2012;Khegai et al, 2013].…”

Section: Introductionunclassified

Observations of ionospheric disturbances via U-shaped traces on ionograms

Ларюнин

2019

Geodin. tektonofiz.

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The ionospheric vertical sounding is a basic technique for studying the Earth's ionosphere. Taking into account the fact that conditions for propagation of radio waves depend on the operating frequency, diagnostics of the ionosphere is performed using digital ionosondes that measure the delays of decameter radio signals of different frequencies. An ionogram is a display of the data produced by an ionosonde. It is a graph of the virtual reflection height of the ionosphere (actually, time between transmission and reception of a radio signal) versus sounding frequency. Vertical and nearvertical ionograms provide the major share of information about the space-temporal structure of the ionospheric plasma above the ionosonde. Of particular interest is investigating dynamic processes from the series of ionograms taken once each minute. Studying seismic ionospheric effects by minute ionograms can be highly informative. It is known that the parameters of the ionospheric layers can significantly vary both before and after an earthquake, and such deviations are detectable from ionosonde data. Recent observations show that the effects from an earthquake can occur at large distances from the epicenter. For instance, soundings in the Irkutsk region detected the anomalies that occurred several dozens of minutes after the main shock of the 11.03.2011 earthquake in Japan. At the initial phase, the anomaly was recorded as a multicusp structure in the ionogram, which was probably related to the multiple layers of the ionosphere. This structure was interpreted by iterative reconstruction of the electron density profile in a one-dimensional approximation (stratified ionosphere), and the interperation was published. At the next phase, the ionograms showed a U-shaped structure with a specific multiple reflection. Multipath propagation is usually associated with additional off-vertical ray paths, which are caused by traveling ionospheric disturbances (TIDs). In this regard, it is appropriate to use a 2D model of electron density, depending on both the vertical and horizontal coordinates. In our study, geometric optics approximation was used to simulate vertical ionograms under the conditions of strong horizontal gradients of electron density. The study results show that different positions of the U-shaped structure with respect to the main trace of the ionogram can be obtained for a single TID. Specific ray paths forming the additional traces of the ionogram are described. Depending on the TID location, the U-shaped structure can occur with or without a specific multipath reflection.

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Detection of GNSS-TEC Noise Related to the Tonga Volcanic Eruption Using Optimization Machine Learning Techniques and Integrated Data

Thi

Männel

Bui

et al. 2023

Environmental Science and Engineering

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Ionosphere Disturbances Preceding Earthquakes according to the Data of Ground Based Station of the Vertical Ionospheric Sounding Wakkanai

Cited by 5 publications

References 13 publications

The Analysis of Ionospheric TEC Anomalies Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data

The Analysis of Ionospheric TEC Anomalies Prior to the Jiuzhaigou Ms7.0 Earthquake Based on BeiDou GEO Satellite Data

Observations of ionospheric disturbances via U-shaped traces on ionograms

Detection of GNSS-TEC Noise Related to the Tonga Volcanic Eruption Using Optimization Machine Learning Techniques and Integrated Data

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