The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


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Abstract: Learning to Trace PFAS at the CONUS scale: Machine Learning Reveals Industrial Sector-Specific Risk Patterns in U.S. Water Systems (AGU25)

Learning to Trace PFAS at the CONUS scale: Machine Learning Reveals Industrial Sector-Specific Risk Patterns in U.S. Water Systems

Priyanshu Gupta1, Hogan Nance1, Khang Nguyen1, Raman Dhiman2 and Manish Kumaar1,2, (1)University of Texas at Austin, Maseeh Department of Civil, Architectural and Environmental Engineering, Austin, United States, (2)University of Texas at Austin, McKetta Department of Chemical Engineering, Austin, United States
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