Oxygen predictor in the water of North Atlantic estuary ecosystems

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NRC scientists are using machine learning to predict dissolved oxygen levels in Atlantic estuaries, a key indicator of water quality. This AI-driven approach can forecast low-oxygen events days in advance, even in highly degraded sites, and outperforms traditional deep learning methods. By anticipating problems like eutrophication and harmful algal blooms, the method provides valuable insights for environmental managers, helping them protect marine biodiversity, support aquaculture, and maintain healthy coastal ecosystems.