Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan, during 2014–2019 and the 2016 Kumamoto Earthquake

Hu, Tianyang; Yao, Yibin; Kong, Jian

doi:10.3390/s21062156

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Several researchers have demonstrated the use of global geomagnetic indices such as Disturbance Storm-Time (Dst), Planetary K-index (Kp), and solar radio flux at 10.7 cm (F10.7). The results showed positive correlations of TEC anomalies with earthquakes (Pulinets et al, 2007;Afraimovich and Astafyeva, 2008;Sharma et al, 2010;Zhao et al, 2010;Hasbi et al, 2011;Choi et al, 2012;Zhu et al, 2013;Tao et al, 2017;Shi et al, 2019;Hu et al, 2021;Dong et al, 2022).…”

Section: Established Principles From Previous Researchmentioning

confidence: 86%

Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere

Zulhamidi

Abdullah

Hamid

et al. 2023

Front. Astron. Space Sci.

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The effectiveness and accuracy of earthquake precursors are measured by the ability of the precursors to predict the time, epicentral distance, and magnitude of the earthquake for short-term earthquake prediction. Past articles were reviewed to examine various studies of short-term earthquake precursor detection, particularly those that involved monitoring variations in total electron content (TEC). In this review, we examine recent studies that explore the use of the TEC parameter in the Lithospheric-Atmospheric-Ionospheric (LAI) interaction to forecast earthquake characteristics, including detection time, epicentral distance, and magnitude. This review characterizes anomalous observations of TEC parameters that may be linked to subsequent seismic events and investigates their correlation with earthquake properties. It has been conclusively demonstrated that TEC parameters show significant variations prior to earthquakes, and these results can be used in combination with other parameters to forecast earthquake properties.

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Section: Established Principles From Previous Researchmentioning

confidence: 86%

Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere

Zulhamidi

Abdullah

Hamid

et al. 2023

Front. Astron. Space Sci.

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“…This research detected that potential energy (Ep) increased 4 to 7 days prior to the 2016 Kumamoto earthquake and eventually spread to the eastern Japan area. Hu et al [53] observed an unusual ionospheric disturbance in TEC on the day of the Kumamoto earthquake. For the 2017 Chiapas earthquake, Stanica et al [54] found an abnormality in the ULF geomagnetic signal from September 7 to 9, 2017.…”

Section: Related Workmentioning

confidence: 99%

Seismogenic Anomalies in Atmospheric Gravity Waves as Observed from SABER/TIMED Satellite during Large Earthquakes

et al. 2022

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Atmospheric disturbances caused by seismic activity are a complex phenomenon. The Lithosphere–Atmosphere–Ionosphere Coupling (LAIC) (LAIC) mechanism gives a detailed idea to understand these processes to study the possible impacts of a forthcoming earthquake. The atmospheric gravity wave (AGW) is one of the most accurate parameters for explaining such LAIC process, where seismogenic disturbances can be explained in terms of atmospheric waves caused by temperature changes. The key goal of this work is to study the perturbation in the potential energy associated with stratospheric AGW prior to many large earthquakes. We select seven large earthquakes having Richter scale magnitudes greater than seven ( M > 7.0 ) in Japan (Tohoku and Kumamoto), Mexico (Chiapas), Nepal, and the Indian Ocean region, to study the intensification of AGW using the atmospheric temperature profile as recorded from the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) satellite. We observe a significant enhancement in the potential energy of the AGW ranging from 2 to 22 days prior to different earthquakes. We examine the conditions of geomagnetic disturbances, typhoons, and thunderstorms during our study and eliminate the possible contamination due to these events.

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“…TEC modeling is widely used in the fields of geodesy, communication, and positioning errors associated with GPS [Hofmann-Wellenhof et al, 2012]. The ionospheric delay is proportional to TEC [Hu et al, 2021;Yao et al, 2021] and changes continually with space, time, solar, and geomagnetic activity. That is the primary reason why we can calculate the TEC from GPS data and use it to investigate various types of ionospheric phenomena [Rastogi and Klobuchar, 1990].…”

Section: Introductionmentioning

confidence: 99%

Variation of Total Electron Content over Nepal during Geomagnetic Storms: GPS Observations

Silwal,

Gautam,

Poudel

et al. 2023

Russian Journal of Earth Sciences

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Geomagnetic storms have very profound effects on the Total Electron Content (TEC) of the ionosphere. In order to investigate the equatorial and low-latitude ionospheric response to the geomagnetic storms of varying intensities, a detailed study of vertical TEC (VTEC) variations resulting from Global Positioning System (GPS) data acquired at four GPS stations in Nepal along 80°–90° E longitude and 26°–30° N latitude sector has been carried out in the present work. The results were analyzed with other favorable inducing factors (solar wind parameters and geomagnetic indices) affecting TEC to constrain the causative factor. Positive phases are observed for all the storms studied. During the severe geomagnetic activity, the deviation was ~18 TECU, while it was recorded ~12 TECU and ~8 TECU during moderate and minor geomagnetic activity, respectively. The Detrended Cross-Correlation Analysis (DXA) illustrates that the value of the hourly average VTEC of the BESI station was found to have a strong positive correlation with other stations in all types of storm events, indicating a similar response of all stations towards the space weather events. In addition, the correlation of VTEC with solar wind parameters and geomagnetic indices illustrated that the VTEC shows a strong positive association with solar wind velocity (Vsw) in all three geomagnetic events. In contrast, the correlation of plasma density (Nsw), interplanetary magnetic field (IMF-Bz), the symmetric horizontal component of geomagnetic field (SYM-H), and Geomagnetic Auroral Electrojet (AE) index with VTEC vary with the intensity of the storm. Overall results of the study have revealed the characteristic features of TEC variation over Nepal regions during magnetic storms, which validates earlier research on ionospheric responses to geomagnetic storms and theoretical assumptions.

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Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan, during 2014–2019 and the 2016 Kumamoto Earthquake

Cited by 3 publications

References 35 publications

Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere

Investigating short-term earthquake precursors detection through monitoring of total electron content variation in ionosphere

Seismogenic Anomalies in Atmospheric Gravity Waves as Observed from SABER/TIMED Satellite during Large Earthquakes

Variation of Total Electron Content over Nepal during Geomagnetic Storms: GPS Observations

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