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Tsunami detection by GPS-derived ionospheric total electron content.
Mahesh N Shrivastava1,2, Ajeet K Maurya3, Gabriel Gonzalez4,5
1Department of Geological Sciences, Universidad Catolica del Norte, Antofagasta, Chile. mahesh.shrivastava@ucn.cl.
Total electron content (TEC) changes correlate with earthquake and tsunami events. These ionospheric disturbances, linked to seismic waves and tsunamis, show potential for early warning systems.
Area of Science:
- Geophysics
- Atmospheric Physics
- Seismology
Background:
- Earthquakes and tsunamis pose significant natural hazards.
- Ionospheric disturbances can be triggered by seismic and oceanic events.
- Understanding these relationships is crucial for disaster preparedness.
Purpose of the Study:
- To investigate the relationship between tsunamigenic earthquakes and ionospheric total electron content (TEC) changes.
- To analyze TEC variations associated with the 2014 Pisagua and 2015 Illapel earthquakes in Chile.
- To explore the potential of TEC monitoring for earthquake and tsunami early warning systems.
Main Methods:
- Analysis of GPS-derived TEC data from two major Chilean subduction earthquakes.
- Comparison of TEC change patterns with tide-gauge data to understand tsunami propagation.
- Identification and correlation of TEC signals with seismic wave types (Acoustic Rayleigh waves) and atmospheric waves (Acoustic Gravity waves, Internal Gravity waves).
Main Results:
- TEC changes were observed during both the Pisagua and Illapel earthquakes.
- The spatial distribution of TEC changes differed between the two events, correlating with tsunami propagation directions.
- Three distinct TEC signals were identified, linked to Acoustic Rayleigh waves, Acoustic Gravity waves, and Internal Gravity waves.
Conclusions:
- Ionospheric TEC changes serve as reliable indicators of earthquake and tsunami occurrences.
- The observed TEC patterns provide insights into tsunami wave propagation.
- TEC monitoring can be integrated into multi-parameter early warning systems for enhanced disaster detection.
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