The tool offers more accurate health risk prediction model to better inform beach closure decisions.
The new model offers beach managers a better prediction tool to identify when closures are required to protect beachgoers from harmful bacteria.
The new method provides beach health managers with an easily accessible computer model to predict harmful bacteria levels from all potential pollution sources.
The team optimized and validated their model using a 10-day monitoring data-set from the popular Virginia Beach in Miami, Florida.
The predictive model uses information on waves, tides, rainfall and solar radiation to more accurately predict harmful bacteria concentration and movement along the shore.
Direct sampling methods, currently in use, require a one-day laboratory analysis to access the health risk to humans at a particular beach.
Therefore, a 24 to 48 hour wait period after sampling is required before any beach closure or advisory is issued.
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