FSU’s Ming Ye is developing a model-experiment integration algorithm to better understand how pesticides move into and affect South Florida’s ecosystem. It will combine computational modeling with lab work and site visits. “These different modeling approaches are informed by the exact data of what’s happening at this site, allowing us to validate predictions against the monitored data we collect via dye-tracing and other methods.”
Collaborator Ebrahim Ahmadisharaf will use machine learning to evaluate water quality in two estuaries connected to Lake Okeechobee. The research will distinguish the impact of natural and human-related effects on short-term and long-term water quality. The team will also investigate other effects of poor water quality, such as harm to wildlife and contribution to destructive algae blooms.
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