Assessment of groundwater well vulnerability to contamination through physics-informed machine learning

Assessment of groundwater well vulnerability to contamination through physics-informed machine learning

Contamination from anthropogenic activities is a long-standing challenge to the sustainability of groundwater resources. Physically based (PB) models are often used in groundwater risk assessments, but their application to large scale problems requiring high spatial resolution remains computation...

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Bibliographic Details
Main Authors: Soriano, Mario A, Siegel, Helen G, Johnson, Nicholaus P, Gutchess, Kristina M, Xiong, Boya, Li, Yunpo, Clark, Cassandra J, Plata, Desiree L, Deziel, Nicole C, Saiers, James E
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: IOP Publishing 2021
Online Access:https://hdl.handle.net/1721.1/133069

Internet

https://hdl.handle.net/1721.1/133069

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