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 Pepper Mill Sets assessments, but their application to large scale problems requiring high spatial resolution remains computationally intractable.Machine learning (ML