OMB Individually Reported
Predicting PFAS occurrence in groundwater using machine learning [2024 INV#WO0000000108780]
Low riskExact public inventory row
Description
predict PFAS occurrence in groundwater at the depths of drinking water supplies across the conterminous U.S.
Detailed example
predictions of PFAS occurrence in groundwater at the depths of drinking water supplies across the conterminous U.S.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
better understand the occurrence of PFAS in groundwater
Controls / human review
ATO: No; PIA: Not published
Data needed
Groundwater well data