Using a machine learning to model dead zones in lakes

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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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Christina Feng Chang , C Feng Chang , Rapid Response Team , Department Of Civil Environmental Engineering , Quality Modeling Group Associate Professor Marina Astitha , Department Of Marine Sciences , Environmental Modelling Software , Lake Erie , Moderate Resolution Imaging Spectroradiometer , Response Team , Environmental Modelling , Environmental Engineering , Marine Sciences , Environmental Chemistry , Professor Penny ,

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