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<p>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&#xa0;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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月15日

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  • Secil Karatay,
  • Feza Arikan,
  • Atinc Pirti

摘要

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.