University of Vermont researchers develop new AI tool to predict water quality
New England Council member, University of Vermont (UVM), has announced that its researchers have developed an Artificial Intelligence (AI) tool that can be used for predicting water quality. UVM’s technology will enhance the operations of water forecasting by using AI and real-time data to predict the quality of water following natural events like storms and floods. Published in the Journal of the American Water Resources Association, UVM’s team explains how their tool builds upon the federal government’s National Water Model and demonstrates its potential possibilities for water plants, reservoirs, and farms across the country.
“This new tool can be implemented across the country and broadly utilized by folks that could use water quality forecasts in any number of applications,” said Andrew Schroth, the lead researcher and a research associate professor in UVM’s Department of Geography and Geosciences. “With the first ever application of the National Water Model to predict water quality, we’ve opened a new window that can really benefit the country as a whole moving forward.”
The New England Council commends the University of Vermont for this innovative research.
Read more via the Burlington Free Press.