Enhancement of the impact score assessment of micropollutants release from WWTP using predicted characterization factors
Résumé
During wastewater treatment, incomplete elimination of micropollutants occurs: effluents released to the environment still contain a non-negligible part of these substances. Recently, the potential impacts on human health and aquatic environment of the release of some micropollutants have been studied. The high impacts were mainly due to the (eco)-toxicological potential of a few numbers of compounds, not to their mass emitted in the environment. Furthermore, the impact was estimated for less than 1/3 of the initial list of substances due to a lack of concentration and toxicological data. In the present communication, we used already developed machine learning models to complement these impact calculations. The conclusions were not modified for the impact on aquatic environment, but were different for the human health impact: the higher toxicological impact could be driven by a high-emitted mass, and a high number of compounds could take a significant part of the overall impact.
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