Environmental fate modelling of PPCPs and microbial fecal indicators in Tokyo coastal area after rainfall events
| Project/Area Number |
20J12048
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 国内 |
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| Review Section |
Basic Section 22060:Environmental systems for civil engineering-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
POOPIPATTANA CHOMPHUNUT 東京大学, 工学系研究科, 特別研究員(PD)
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| Project Period (FY) |
2020-04-24 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2020: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | combined sewer overflow / fecal contamination / coastal area / water quality model / PPCPs / coastal water |
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| Outline of Research at the Start |
Combined sewer overflows (CSOs) are considered as one of important pollution sources into the receiving water, which deteriorate water quality and pose risks to human health. This research aim to investigate the distribution and behavior of two types of markers including chemical markers (PPCPs: Pharmaceuticals and Personal Care Products) and microbial markers (fecal bacteria and bacteriophages) after rainfall events in order to evaluate fecal contamination and potential risks in Tokyo waterfront area.
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| Outline of Annual Research Achievements |
The aim of this study is to understand and predict the distribution of sewage markers in Tokyo coastal area after CSO (combined sewer overflow) events. Multiple water sampling campaigns were conducted after rainfall events to collect data including basic water parameters, PPCPs and E. coli concentrations.
A 3D water quality model was developed to reproduce PPCPs and E. coli concentration in the area. The accuracy of model prediction was improved by applying decay/inactivation rate by sunlight and salinity, which were obtained from laboratory experiments. A large number of simulations were conducted to predict temporal change of E. coli concentration after various rainfall events and under different tidal conditions. Simulation results were compiled into a database including time and level of contamination. The purpose of the database is to be used for water safety forecast system and better CSO events characterization in the future.
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| Research Progress Status |
令和3年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
令和3年度が最終年度であるため、記入しない。
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Report
(2 results)
Research Products
(10 results)
