Modelling reactive intermediates for predicting photodegradation of organic micropollutants in freshwater environment

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50 reservoir samples and 7 lake and pond samples were taken across Japan from Okinawa to Hokkaido. The characterization of reservoir samples in terms of water chemistry and absorption spectra indicated that major variations in the dissolved organic matter (DOM) were molecular structures and compositions.Quantum yield for photo-production of singlet oxygen of the reservoirs are close to river and lakes dominated by terrestrial DOM but lower than water bodies dominated by microbial DOM.Linear (single and multiple) and non-linear models (machine-learning) were developed and can be used to estimate quantum yield with a high accuracy for reservoirs.In addition, the models can be additionally used for estimating quantum yidl in lakes, ponds, and referenced DOM samples.