| Project/Area Number |
20F20763
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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 | 外国 |
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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 |
國吉 康夫 東京大学, 大学院情報理工学系研究科, 教授 (10333444)
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| Co-Investigator(Kenkyū-buntansha) |
SCHNEIDER MARIANE 東京大学, 情報理工学(系)研究科, 外国人特別研究員
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| Project Period (FY) |
2020-11-13 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2022: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2021: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2020: ¥400,000 (Direct Cost: ¥400,000)
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| Keywords | wastewater treatment / soft sensors / monitoring / control / hybrid modelling / trend analysis / machine learning / feature engineering / machine learing / partially observable / hybrid models |
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| Outline of Research at the Start |
On-site wastewater treatment plants (OST) have the potential to bring a much-needed transformative solution for urban hygiene. They need to provide a reliable treatment performance. Currently, this is inhibited by two factors: i) wastewater is a challenging medium for sensors requiring high maintenance due to fast wear-and-tear effects and ii) OST are exposed to large input variability with corresponding impact on treatment performance. As a consequence, current OST are insufficiently monitored and suffer from subpar performance. Goal: enhancing OST to address todays water-related challenges.
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| Outline of Annual Research Achievements |
The main achievement of the JSPS sponsored Postdoc of Mariane Yvonne Schneider ( MYS) in the period of April 2022 to November 2022 was the accepted first-authored, peer-reviewed publication on "Several Small or Single Large? Quantifying the Catchment-Wide Performance of On-Site Wastewater Treatment Plants with Inaccurate Sensors" in collaboration with the University of Kyoto, which is published in Environmental Science and Technology, one of the top journals in environmental engineering.
Secondly, MYS wrote and submitted with her international collaborators from ETH Zurich an article on "Predicting Microbial Water Quality in On-Site Water Reuse Systems with Commercially Available Online Sensors" to Water Research.
Thirdly, MYS could present our common project at the 13th IWA international conference on instrumentation, control and automation, Beijing, China. MYS introduced a pre-alpha version of JASM: a tool to explore monitoring and control of on-site wastewater treatment plants. JASM is an implementation of the activated sludge model nr. 1 in the programming language Julia.
Additionally, she increased our visibility by organising a workshop at the WRRmod conference on hybrid modelling and founded the IWA working group on hybrid modelling, where she is the vice-chair.
Lastly, MYS contributed to two publications of PhD students, which are going to be submitted soon to peer-reviewed journal.
Additionally, she could collect valuable data from a lab-scale wastewater treatment plant, which will lead to an article on sensor wear-and-tear effects.る．
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| Research Progress Status |
令和4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4年度が最終年度であるため、記入しない。
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