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The Conversation
The Conversation
Science
Valeriy Ivanov, Professor of Hydrosystems Engineering, University of Michigan

Flood forecasts in real-time with block-by-block data could save lives – a new machine learning method makes it possible

Driving into floodwater, as this vehicle did in Sonoma County, Calif., on Jan. 5, 2023, can be extremely dangerous. Josh Edelson/AFP via Getty Images

The extreme flooding and mudslides across California in recent weeks took many drivers by surprise. Sinkholes swallowed cars, highways became fast-moving rivers of water, entire neighborhoods were evacuated. At least 20 people died in the storms, several of them after becoming trapped in cars in rushing water.

As I checked the forecasts on my cellphone weather apps during the weeks of storms in early January 2023, I wondered whether people in the midst of the downpours were using similar technology as they decided whether to leave their homes and determined which routes were safest. Did they feel that it was sufficient?

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