A long step in environmental protection: Forecasting water quality with artificial intelligence

Scientists at Vermnett University and Utah State University have developed a new artificial intelligence -based tool that can help predict water quality in the United States. The technology combines the Forecast of the National Water Model with artificial intelligence and environmental sensors data to identify pollutants into lakes and rivers.

One of the most important indicators of water quality is the opacity or the amount of particulate matter. The technology was tested at the ESOPus Creek River, one of the main sources of New York’s water supply, showing that increasing turbidity reduced water quality and difficulty in the treatment process.

Scientists intend to develop this tool to predict phosphorus and chloride entry into the Camplain Lake Basin. This technology can warn farmers how to use road salt and chemical fertilizers affects water quality.

Currently, researchers are working on a local version of the tool that can provide instant predictions of water quality in the streams leading to Lake Chapelin. They are also seeking funding for the development of a national -level version that is expected to be operational by year 2.