Scieists at Vermnett University and Utah State University have developed a new artificial ielligence -based tool that can help predict water quality in the United States. The technology combines the Forecast of the National Water Model with artificial ielligence and environmeal sensors data to ideify pollutas io lakes and rivers.
One of the most importa indicators of water quality is the opacity or the amou 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 treatme process.
Scieists iend to develop this tool to predict phosphorus and chloride ery io the Camplain Lake Basin. This technology can warn farmers how to use road salt and chemical fertilizers affects water quality.
Currely, researchers are working on a local version of the tool that can provide insta predictions of water quality in the streams leading to Lake Chapelin. They are also seeking funding for the developme of a national -level version that is expected to be operational by year 2.
