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 computationall...

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Bibliographic Details
Main Authors: Soriano, Mario A (Author), Siegel, Helen G (Author), Johnson, Nicholaus P (Author), Gutchess, Kristina M (Author), Xiong, Boya (Author), Li, Yunpo (Author), Clark, Cassandra J (Author), Plata, Desiree L (Author), Deziel, Nicole C (Author), Saiers, James E (Author)
Format: Article
Language:English
Published: IOP Publishing, 2021-10-21T14:46:09Z.
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