Mitsubishi Electric Corporation has established an artificial intelligence (AI) technology that uses data on a tsunami’s velocity detected by radar to forecast water inundation depths in surrounding inland areas, working in collaboration with the Society for the Promotion of Construction Engineering of the General Incorporated Foundation.
The AI incorporates Mitsubishi Electric’s Maisart AI technology to generate highly accurate predictions just seconds after a tsunami is detected, thereby supporting the rapid formulation of evacuation plans to prevent or mitigate disasters in local inland areas.
- Height of water level measured from the ground
- Mitsubishi Electric’s AI creates the State-of-the- ART in technology
- Maisart predicts inundation depth with high accuracy immediately after the tsunami is detected
- AI learns the relationship between tsunami speed and inundation depths using simulations of various earthquake epicenters, the degree and direction of fault displacements, and so on.
- The AI accurately predicts inundation depths with a margin of error of about 1 meter. The prediction is performed as soon as the tsunami’s speed and direction are detected with radar.
- Rapid prediction supports fast evacuation planning, helping to prevent or mitigate disasters.
To date, evaluations have focused on theoretical earthquakes in the Nankai Trough, a major fault line that extends roughly in a northeast/southwest direction off the coast of Japan.
Going forward, theoretical earthquakes in other areas of Japan also will be evaluated to study how tsunamis might possibly impact various harbors and other coastal infrastructure and municipalities.
In addition to fault displacements, the study will also consider tsunamis created by undersea landslides, which are particularly difficult to predict using conventional methods.