Case Study: Mecklenburg County improves flood forecasting with Woolpert's FLOODTRACZ

A Woolpert Case Study

Mecklenburg County adds 12-hour flood forecasting with Woolpert

Mecklenburg County, North Carolina, had a robust flood management system but lacked a key capability: real-time flood forecasting to proactively prepare for emergencies. The county partnered with vendor Woolpert to implement its proprietary machine learning flood prediction model, FLOODTRACZ, to fill this gap.

Woolpert developed 110 machine learning models that provide a 12-hour flood prediction window, integrating data from the county's extensive network of gauges and NOAA forecasts. The solution enables emergency teams to act proactively by allocating resources and planning evacuations with greater confidence. This has transformed historical data into actionable intelligence, helping to safeguard residents and property from flood risks.


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