New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting
Paulo Alexandre Costa Rocha,
Victor Oliveira Santos,
Jesse Van Griensven Thé
et al.
Abstract:Dissolved oxygen (DO) is a key indicator of water quality and the health of an aquatic ecosystem. Aspiring to reach a more accurate forecasting approach for DO levels of natural streams, the present work proposes new graph-based and transformer-based deep learning models. The models were trained and validated using a network of real-time hydrometric and water quality monitoring stations for the Credit River Watershed, Ontario, Canada, and the results were compared with both benchmarking and state-of-the-art ap… Show more
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