Development of prediction models on the degradation kinetics parameters of antibiotics in aquatic environments with machine learning methods

values for various new pollutants, but also enhances the understanding of how molecular structure affects their synergistic degradation kinetics in aquatic environments, thereby significantly contributing to the assessment of environmental persistence of emerging contaminants.