In 2011, northeast Japan was struck by a devastating tsunami that claimed the lives of about 18,500 people. Since then, the nation has been focused on preventing a similar outcome in the future. Find out more at 🚀 interestingengineering
In 2011, northeast Japan was struck by a devastating tsunami that claimed the lives of about 18,500 people. Since then, the nation has been focused on preventing a similar outcome in the future.
"Conventional tsunami modeling provides predictions after 30 minutes, which is too late. But our model can make predictions within seconds."To achieve this, the coast now boasts the world's largest network of sensors for monitoring the movement of the ocean floor. About 150 offshore stations make up this network and work together in order to provide early warnings of tsunamis.
This normally requires solving difficult nonlinear equations, which can take about 30 minutes on a standard computer. Needless to say, this does not give people enough time to evacuate.That's why the RIKEN AI model is so crucial to saving lives. It allows people to get at least half an hour head start from where the tsunami will strike.
"The sky's the limit—you can apply this method to any kind of disaster prediction where the time constraint is very limited," added Mulia.Back in February of 2021, RIKEN, in collaboration with Fujitsu,that enabled real-time predictions of the flooding caused by a tsunami. The hardware used for the development of the new tsunami prediction tool was Fugaku, the world's fastest supercomputer.
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