Machine learning-driven prioritization of micropollutants in river water: Integrating ecological and human health risks from a two-year monitoring campaign.

In this study, the prioritization of micropollutants in river water was performed via a two-year monitoring campaign of 117 organic micropollutants (OMPs) (December 2022-August 2024) and machine-learning models. A total of 82 OMPs including 17 pharma…

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