Researchers have developed a day-ahead statistical model to predict algal bloom risk in the Caloosahatchee River and Estuary in Florida. By analyzing historical data and utilizing decision tree models, the model provides water managers with a simple and adaptable tool to anticipate bloom events, enabling proactive adjustments to reservoir releases and potentially mitigating ecological and economic impacts.

Read the full article at https://www.paperleap.com/blog/articles/predicting-and-preventing-algal-blooms-0cccuz