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.


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Abstract: Detecting Long-term Freshwater Salinization Trends and Chronic Chloride Exceedance with a Deep Learning Model (AGU25)

Detecting Long-term Freshwater Salinization Trends and Chronic Chloride Exceedance with a Deep Learning Model

Diver E. Marín1, Chuqiang Chen2, Stanley Baugh Grant1 and Admin Husic, PhD3, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Manassas, United States, (2)Virginia Tech, Manassas, VA, UNITED STATES, (3)Virginia Tech, Department of Civil and Environmental Engineering, Manassas, United States
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