OMB Individually Reported
Identifying Controlling Variables for Mercury Vapor Release at Y-12's Alpha-4
High riskExact public inventory row
Description
Correlate indoor/outdoor meteorological conditions with mercury vapor releases such that PEL exceedances can be forecasted, improving respiratory worker safety and enhancing work planning
Detailed example
Prediction of elevated mercury concentrations in the building
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Intraday forecast of mercury concentration in buildings given past chronology of meteorological conditions
Controls / human review
ATO: Not reported; PIA: Not published