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Deep Learning Can Predict Tsunami Impacts in Less Than a Second

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Some of the devastation wreaked by the 2011 tsunami in northeastern Japan.

Knowing the height and reach of a tsunami in different places can be the difference between life and death.

Credit: Stocktrek Images/Getty Images

Researchers at Japan's RIKEN Prediction Science Laboratory applied deep learning to predict the impact of tsunamis in less than a second; conventional modeling yields forecasts in about 30 minutes.

The researchers trained the system on more than 3,000 computer-generated tsunami events, then tested it with 480 other tsunami models and three actual events.

The machine learning-based model required just 1% of the computational effort of conventional models to produce comparable accuracy.

RIKEN's Iyan Mulia said the method is only accurate for large tsunamis that exceed approximately 1.5 meters (about 5 feet), although he explained, "you can apply this method to any kind of disaster predictions where the time constraint is very limited."

From RIKEN (Japan)
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Abstracts Copyright © 2023 SmithBucklin, Washington, DC, USA


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