| 研究開始時の研究の概要 |
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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| 研究実績の概要 |
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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