2023 Fiscal Year Annual Research Report
反応中間体のモデリング:淡水環境における有機微小汚染物質の光分解を予測する
| Project/Area Number |
22KJ1302
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| Allocation Type | Multi-year Fund |
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
GUO ZHONGYU 東京工業大学, 環境・社会理工学院, 特別研究員(DC2)
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| Project Period (FY) |
2023-03-08 – 2024-03-31
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| Keywords | Dam reservoir / Bulk water property / Photochemistry / Dissolved organic matter / Radical production / Singlet oxygen / Excited triplet state / Photodegradation |
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| Outline of Annual Research Achievements |
The proposed goals have been finished well. The results have been published on six peer-reviewed journals including four top journals and presented on three conferences (both domestic and international).
50 dam reservoirs have been sampled in Japan. Bulk water property has been characterized including pH, total organic carbon concentration, inorganic ions, conductivity, salinity, optical property.
Meanwhile, quantum yield for production of singlet oxygen and excited triplet of dissolved organic matter were determined using steady-state photochemical experiments. Validated prediction models (linear and machine-learning based) have been developed using water property to estimate the quantum yield . The models can be finally used to estimate photodegradation rate of pollutants in reservoirs.
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