Publication: Predicting Micropollutant Removal in Wastewater Treatment Based on Molecular Structure: Benchmark Data and Models
Predicting Micropollutant Removal in Wastewater Treatment Based on Molecular Structure: Benchmark Data and Models
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Cordero Solano, J. A., Hafner, J., McLachlan, M. S., Singer, H., & Fenner, K. (2025). Predicting Micropollutant Removal in Wastewater Treatment Based on Molecular Structure: Benchmark Data and Models. Environmental Science & Technology, 59, 22020–22028. https://doi.org/10.1021/acs.est.5c09314
Abstract
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Models to predict the environmental fate of micropollutants are needed for alternatives assessment and safe-by-design efforts. Wastewater treatment plants (WWTPs) are the main barrier to prevent micropollutants from entering receiving water bodies, and WWTP breakthrough is an important indicator of chemical persistence. State-of-the-art models to predict breakthrough are limited by their need for first-order degradation rate constants, a metric that is often unavailable. Here, we build models that predict removal in conventional treat
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- Cordero Solano, José Andrés
- Hafner, Jasmin
- McLachlan, Michael S.
- Singer, Heinz
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1520-5851
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Cordero Solano, J. A., Hafner, J., McLachlan, M. S., Singer, H., & Fenner, K. (2025). Predicting Micropollutant Removal in Wastewater Treatment Based on Molecular Structure: Benchmark Data and Models. Environmental Science & Technology, 59, 22020–22028. https://doi.org/10.1021/acs.est.5c09314
