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Using Machine Learning To Model Dead Zones In Lakes

Using Machine Learning To Model Dead Zones In Lakes
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Using Machine Learning to Model Dead Zones in Lakes

UI researcher finds connections to Flint water crisis

KC McGinnis | February 26, 2016 News of the lead-contaminated water crisis in Flint, Michigan is leading researchers around the world to see if their communities might be susceptible to similar forms of contamination. Among them is UI Professor in the Department of Civil & Environmental Engineering and CGRER co-founder Jerry Schnoor. In a February…

Using a machine learning to model dead zones in lakes

Aquatic ecosystems are complex environments that can be affected by many variables, including weather, the biological activities of the organisms living within them, and anthropogenic nutrient pollution. The influence these variables may have on aquatic ecosystems can also depend on the characteristics of the water body, such as temperature and depth. These interconnected processes can be tipped out of balance with devastating consequences.

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