When a storm is barreling in from the Gulf, which neighborhoods would be most likely to flood and at what depths? And can that be predicted quickly with affordable technology?

A team of LSU scientists is using artificial intelligence to do just that — and so far having success. It is developing a new flood prediction technique that runs exponentially faster than previous models while yielding highly accurate results.

The method documents both storm surge and inland flooding from rainfall. Z. George Xue, a professor in the department of oceanography and coastal science and the Center for Computation and Technology, said the new method could assist disaster managers during storms and help analyze longer-term risk patterns.

The results of six years of research were published in July in t

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