A machine learning based approach towards understanding PFAS contamination in surface water and groundwater of urban areas

Prerona Das

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-HW Hydrology & Water Environment

[A-HW29] Water Environment and Geology in Urban Areas

Tue. May 26, 2026 3:30 PM - 5:00 PM 105 (International Conference Hall, Makuhari Messe)

Chairperson:Miyakoshi Akinobu(Geological Survey of Japan, AIST), Hayashi Takeshi(Faculty of Education and Human Studies, Akita University), Hamamoto Hideki(Center for Environmental Science in Saitama)

4:30 PM - 4:45 PM

[AHW29-05] A machine learning based approach towards understanding PFAS contamination in surface water and groundwater of urban areas

*Prerona Das¹, Yarenbenla -¹, Sumitro Bhaumik², Jaison Basumatary¹ (1. Department of Geology, North Eastern Hill University, Shillong, Meghalaya, India, 2. Tata Consultancy Services, Kolkata, India)

Keywords:Urban Hydrology, PFAS Contamination, Machine Learning, Surface water-groundwater interaction

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