Since chlorine-based disinfectants produce harmful DBPs, alternative disinfectants, such as ozone, for drinking water disinfection attract attention . Unlike chlorination, ozonation does not produce chlorinated THMs and HAAs. Ozone, therefore, provides a two-fold benefit: it is effective and does not generate chlorinated DBPs. However, ozonation produces various other DBPs . The occurrence and toxicity of ozonated DBPs are a concern . Therefore, while ozone does not generate chlorinated DBPs, its use requires careful considerations for other toxic byproducts. This section summarize ). That study introduced four distinct RF models, all incorporating standard predictors such as pH, alkalinity, and DOC. These models have unique inclusions of fluorescence excitation-emission matrix (FEEM) data at different resolutions. These models are as FEEM-Free, FEEM-LowRes, FEEM-HighRes, and FEEM-FullRes, each with a different resolution of FEEM data used as the unique predictors. Integrating FEEM data results in more accurate prediction of ozone exposures. The high-resolution FEEM data yield better predictions for micropollutant abatement (R 2 = 0.904; RMSE = 6.6%). However, the improvement in prediction accuracy when using FEEM data is less substantial for predicting micropollutant abatement than for predicting the exposures of oxidants (i.e., ozone and hydroxyl radicals) during ozonation.