| Project/Area Number |
22K14352
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 22060:Environmental systems for civil engineering-related
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| Research Institution | Nagasaki University |
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Principal Investigator |
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2024: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | drinking water / algae / odor / monitoring |
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| Outline of Research at the Start |
The unpredictable occurrence of musty-odor substances in drinking water is a major challenge for many drinking water utilities. This research aims to develop an online monitoring system based on fluorescence microscopy that will continuously counts various types of odor-producing algae 24/7.
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| Outline of Annual Research Achievements |
The properties of various algae in a surface water (Biwa Lake) was assessed using an automated fluorescence microscope. As a result, the concentrations of Pseudanabaena sp. were auto-counted and the accuracy of the analysis was acceptable. However, due to low frequency of the odor-producing algae occurrence, the chances of the auto-counting technique validation did not happen frequently. It was found that the frequency of odor-causing algae occurrence plays an important role in the method validation. In addition to Pseudanabaena sp., the criteria for automatically counting other algae causing problems for the drinking water treatment plant has also been established. Further, lenses to capture clear image for improving the accuracy of the auto-counting method were assessed and the best lens has been identified and incorporated in the system.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The criteria (dimensions, shape, fluorescence intensity) for automatically identifying odor-producing algae other than Pseudanabaena sp. has been assessed and determined. To capture clear image for accurately counting the target algae, a new lens has been selected and incorporated into the auto-counting system.
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| Strategy for Future Research Activity |
To judge the practicality of the developed online monitoring system, it is necessary to establish the accuracy of the automatically counted concentrations and the system stability for long-term operation. Therefore, on-site monitoring test will be conducted for the period of potential odor occurrence.
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