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Automatic Algae Counting Techniques for Odor Prediction in Drinking Water Sources
Automatic Algae Counting Techniques for Odor Prediction in Drinking Water Sources
Key Researcher: Sandrine Boivin
Facile technique for automatically counting odor-producing algae
Facile technique for automatically counting odor-producing algae
Frequent on-site analysis using this facile method will play a role in providing early warnings of potential 2-MIB occurrence and enabling precautionary countermeasures at drinking water treatment plants.
Publication: Environmental Science: Water Research and Technology 2023, Environmental Science: Water Research and Technology 2021
Online monitoring of bromate in treated wastewater
Online monitoring of bromate in treated wastewater
The online-monitored data can be utilized as an indicator of high bromate ion concentrations exceeding the guideline value.
Publication: Environmental Science: Water Research and Technology 2022
Online NDMA analysis
Online NDMA analysis
The online-monitored data can be utilized as an indicator of high NDMA ion concentrations exceeding the guideline value.
Publication: Environmental Science: Water Research and Technology 2023
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