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

模拟反应中间体以预测淡水环境中有机微污染物的光降解

• 批准号: 22KJ1302
• 负责人: GUO ZHONGYU
• 金额: $ 1.09万
• 依托单位: Tokyo Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2023
• 资助国家: 日本
• 起止时间: 2023-03-08 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22KJ1302/
• 关键词: photochemistry; photolysis; reactive intermediates; dissolved organic matter; reservoir; modeling; quantum yield; simulated sunlight

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.

从冲绳到北海道，在日本各地采集了 50 个水库样本和 7 个湖泊和池塘样本。水库样品的水化学和吸收光谱表征表明，溶解有机质（DOM）的主要变化是分子结构和组成。水库光产单线态氧的量子产率接近以河流和湖泊为主。陆地 DOM 但低于以微生物 DOM 为主的水体。线性（单个和多个）和非线性模型（机器学习）已开发出来，可用于高精度估计水库的量子产率。此外，型号还可用于估计湖泊、池塘和参考 DOM 样本中的量子 yidl。

项目成果

Modeling quantum yield for photo-production of reactive intermediates in reservoirs in Japan

日本储层中反应中间体光生产的量子产率建模

• 发表时间: 2022
• 作者: Guo Z;Yoshimura C
• 通讯作者: Yoshimura C

Photodegradation of organic micropollutants in aquatic environment: Importance, factors and processes

• DOI: 10.1016/j.watres.2022.118236
• 发表时间: 2023-01-20
• 期刊: WATER RESEARCH
• 影响因子: 12.8
• 作者: Guo, Zhongyu;Kodikara, Dilini;Wang, Jieqiong
• 通讯作者: Wang, Jieqiong