By incorporating the structure of metropolis drainage systems and readings from flood gauges into a comprehensive statistical framework, researchers at Texas A&M University can now accurately predict the evolution of floods in low eventualities like hurricanes. With their new strategy, the researchers acknowledged their algorithm could per chance forecast the waft of flood water in almost accurate-time, that could per chance then end result in timelier emergency response and planning.
Researchers develop flooding prediction tool
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