N.C. State: Machine Learning Predicts Highest-Risk Groundwater Sites to Improve Water Quality Monitoring
November 13, 2024
November 13, 2024
RALEIGH, North Carolina, Nov. 13 (TNSres) -- North Carolina State University issued the following news release:
An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a groundwater supply. The new tool allows regulators and public health authorities to prioritize specific aquifers for water quality testing.
This proof-of-concept work foc . . .
An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a groundwater supply. The new tool allows regulators and public health authorities to prioritize specific aquifers for water quality testing.
This proof-of-concept work foc . . .