Research & Technology
Research Achievements
We were the first in the world to identify ionospheric anomalies associated with earthquakes using VLF radio-wave observations during the 1995 Great Hanshin-Awaji Earthquake. Similar anomalies were also detected prior to the 2011 Great East Japan Earthquake. Based on long-term observational data, we have demonstrated statistical correlations between ionospheric disturbances and seismic activity.
More recently, our study of the 2021 Fukushima earthquake revealed nearly ten precursor signals across the lithosphere, atmosphere, and ionosphere. These findings highlight the importance of integrated multi-parameter observations for earthquake prediction, rather than relying on a single parameter.
Methodology & Technology
The “Tokyo” in QuakeInsight Tokyo reflects our commitment to earthquake prediction in the Tokyo metropolitan region. Many areas in and around Tokyo are located within highly active seismic zones, making this region a priority for our research.
Our approach is based on integrated observations of the lithosphere, atmosphere, and ionosphere.
1. Lithosphere: Surface parameter monitoring using AMeDAS data
2. Atmosphere: Lower-ionospheric monitoring using VLF/LF signals
3. Ionosphere: Real-time analysis of upper-ionospheric (F-region) electron density
In addition to these core observations, we continuously introduce new monitoring parameters and AI to enhance data analysis and forecasting capabilities. We also aim to share earthquake forecasting information and foster the next generation of researchers in this field.
Dashboard Project
The Dashboard Project is an integrated multi-parameter platform designed to detect earthquake precursors. The system continuously analyzes data from VLF signals, GPS-TEC, AGW (Atmospheric Gravity Waves), and AMeDAS in real time, automatically identifying and classifying anomalous signals.
Based on Lithosphere–Atmosphere–Ionosphere Coupling (LAIC), the project visualizes complex precursor phenomena and enables the development of spatiotemporal precursor models.
Real-Time Multi-Parameter Monitoring Dashboard
UEC Alliance Center, Room 501
1-1-1 Kojimacho, Chofu, Tokyo 182-0026, Japan
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