Spatio-temporal evaluation of ionospheric disturbances before, during and after earthquakes using differential rate of TEC (DROT) from GPS measurements

Abstract This study presents a comprehensive spatio-temporal analysis of ionospheric disturbances associated with seismic activity by applying the Differential Rate Of TEC (DROT) algorithm to GPS-based Total Electron Content (TEC) data. The investigation covers ten major earthquakes (Mw 9.0–5.6), examining ionospheric variability across pre-seismic, co-seismic, and post-seismic periods, alongside geomagnetically quiet and disturbed days. Results reveal that ionospheric perturbations are not confined to the pre-earthquake phase; significant anomalies are also observed during and up to six days after the seismic events. On earthquake days, DROT values predominantly cluster between 60 and 70%, indicating large-scale disturbances, while medium-scale disturbances (50–60%) are prevalent in the days leading up to and following the earthquakes. Spatial analysis shows stronger disturbances within 500 km of epicenters, diminishing with distance. The findings support the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model, highlighting the sustained influence of seismic processes on the ionosphere. By distinguishing between seismically and geomagnetically induced disturbances, this study underscores the potential of DROT as a tool for real-time ionospheric monitoring and contributes to efforts in earthquake precursor detection and early warning systems.

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Publication Details

Journal
Environmental Earth Sciences
Published
2025-04-01
DOI
https://doi.org/10.1007/s12665-025-12216-1
Citations
4
Primary Topic
Earthquake Detection and Analysis
Type
article
Field-Weighted Citation Impact
7.47

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article

Spatio-temporal evaluation of ionospheric disturbances before, during and after earthquakes using differential rate of TEC (DROT) from GPS measurements

Atınç Pırtı, Feza Arıkan, Seçil Karatay
4 citations
Environmental Earth Sciences
Earthquake Detection and Analysis
7.47
article

Spatio-temporal evaluation of ionospheric disturbances before, during and after earthquakes using differential rate of TEC (DROT) from GPS measurements

Atınç Pırtı, Feza Arıkan, Seçil Karatay
article en
4 citations

Abstract

Abstract This study presents a comprehensive spatio-temporal analysis of ionospheric disturbances associated with seismic activity by applying the Differential Rate Of TEC (DROT) algorithm to GPS-based Total Electron Content (TEC) data. The investigation covers ten major earthquakes (Mw 9.0–5.6), examining ionospheric variability across pre-seismic, co-seismic, and post-seismic periods, alongside geomagnetically quiet and disturbed days. Results reveal that ionospheric perturbations are not confined to the pre-earthquake phase; significant anomalies are also observed during and up to six days after the seismic events. On earthquake days, DROT values predominantly cluster between 60 and 70%, indicating large-scale disturbances, while medium-scale disturbances (50–60%) are prevalent in the days leading up to and following the earthquakes. Spatial analysis shows stronger disturbances within 500 km of epicenters, diminishing with distance. The findings support the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model, highlighting the sustained influence of seismic processes on the ionosphere. By distinguishing between seismically and geomagnetically induced disturbances, this study underscores the potential of DROT as a tool for real-time ionospheric monitoring and contributes to efforts in earthquake precursor detection and early warning systems.

Environmental Earth SciencesVol. 84(8)
Istanbul Technical University (TR), Hacettepe University (TR), Kastamonu University (TR)
Kastamonu Üniversitesi
Openalex Percentile: Top 3%
Earthquake Detection and Analysis
7.47
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Spatio-temporal evaluation of ionospheric disturbances before, during and after earthquakes using differential rate of TEC (DROT) from GPS measurements — Atınç Pırtı, Feza Arıkan, et al. · Environmental Earth Sciences (2025) | TGRS Research Map | TGRS