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和文: 
英文:Apparent quantum yield for photo-production of singlet oxygen in reservoirs and its relation to the water matrix 
著者
和文: Guo Zhongyu, Tingting Wang, CHEN GUO, Wang Jieqiong, 藤井 学, 吉村 千洋.  
英文: Zhongyu Guo, Tingting Wang, Guo Chen, Jieqiong Wang, Manabu Fujii, Chihiro Yoshimura.  
言語 English 
掲載誌/書名
和文:null 
英文:Water Research 
巻, 号, ページ Vol. 244    No. null    pp. null
出版年月 2023年10月1日 
出版者
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会議名称
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開催地
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DOI https://doi.org/10.1016/j.watres.2023.120456
アブストラクト Man-made reservoirs are important for human daily lives and offer different functions, however they are contaminated due to anthropogenic activities. Dissolved organic matter (DOM) from each reservoir is unique in composition, which further determines its photo-reactivity. Thus, this study aimed to investigate the photo-reactivity of reservoir DOM in terms of the quantum yield for photo-production of singlet oxygen (Ф1O2). We sampled surface water of 50 reservoirs in Japan and determined their Ф1O2 using simulated sunlight together with bulk water analysis. Their Ф1O2 ranged from 1.46 × 10?2 to 6.21 × 10?2 (mean, 2.55 × 10?2), which was identical to those of lakes and rivers reported in the literature, but lower than those of wetland water and wastewater. High-energy triplet-state of DOM accounted for 59.4% of the 1O2 production in the reservoir water on average. Among the bulk water properties, the spectral slope of wavelength from 350 to 400 nm (S350?400) was statistically detected as the most important predictor for Ф1O2. Furthermore, the multiple linear regression model employed S350?400 and the biological index as predictors with no intercorrelations and reasonable accuracy (r2 = 0.86), while the random forest model showed a better accuracy (r2 = 0.90). Overall, these major findings are beneficial for understanding the photo-reactivity of reservoir waters.

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