Why Officials Should Consider Machine Learning Live Modeling to Prepare for Floodin

The National Oceanic and Atmospheric Administration suggests that flooding claims more lives annually than hurricanes and tornadoes combined and costs $4.7 billion on average per event. NOAA also suggests that the frequency of flooding is increasing.

To protect people and properties from the impacts of flooding, Woolpert’s engineering program director and vice president Brian Bates published an article detailing a solution: machine learning live modeling. This technology can deliver live predictive models that offer near-real-time, short-term flood forecasts to help officials prepare and respond to a flood event.

Brian’s article was published in Stormwater Solutions. The article is available on Stormwater Solution’s website at Why Officials Should Consider Machine Learning Live Modeling to Prepare for Flooding.