Publication: Clustering micropollutants based on initial biotransformations for improved prediction of micropollutant removal during conventional activated sludge treatment
Clustering micropollutants based on initial biotransformations for improved prediction of micropollutant removal during conventional activated sludge treatment
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Wang, Y., Fenner, K., & Helbling, D. E. (2020). Clustering micropollutants based on initial biotransformations for improved prediction of micropollutant removal during conventional activated sludge treatment. Environmental Science: Water Research and Technology, 6(3), 554–565. https://doi.org/10.1039/C9EW00838A
Abstract
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Abstract
The lack of fundamental insights on the fate of micropollutants during conventional activated sludge treatment in wastewater treatment plants (WWTPs) presents one of the biggest challenges in optimizing their removal. To address this challenge, we designed a study to identify the drivers of micropollutant removal in WWTPs. We calculated the removal efficiency of micropollutants across the activated sludge process of full-scale wastewater treatment plants from literature-reported data. Our final dataset consisted of 529 independent obs
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- Wang, Yuxin
- Helbling, Damian E
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Citations
Wang, Y., Fenner, K., & Helbling, D. E. (2020). Clustering micropollutants based on initial biotransformations for improved prediction of micropollutant removal during conventional activated sludge treatment. Environmental Science: Water Research and Technology, 6(3), 554–565. https://doi.org/10.1039/C9EW00838A
