Contaminant source identification using semi-supervised machine learning
V.V. Vesselinov, D. O'Malley, B.S. Alexandrov
Journal of Contaminant Hydrology2017DOI 10.1016/j.jconhyd.2017.11.002
Summary
Identification of the original groundwater types present in geochemical mixtures observed in an aquifer is a challenging but very important task. Frequently, some of the groundwater types are related to different infiltration and/or contamination sources associated with various geochemical signatures and origins.