2017
DOI: 10.2166/wst.2017.573
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Using submersible fluorescence sensors to track the removal of organic matter in decentralized wastewater treatment systems (DEWATS) in real time

Abstract: Decentralized wastewater treatment systems (DEWATS) using anaerobic treatment are increasingly being considered for wastewater treatment with options for non-potable water reuse at the community scale. One challenge for ensuring performance and reliability of DEWATS is the lack of suitable on-site sensors to monitor failure or contamination events. In this study, the aim was to use

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Cited by 21 publications
(21 citation statements)
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“…Also, Wasswa et al (2019) mentioned that in complex environments, the instruments may not measure towards the minimum LOD due to background fluorescence. Although field fluorimeters have lower sensitivity and LOD ranges compared to benchtop spectrofluorimeters, they are still able to detect the same patterns and trends as laboratory instruments (Mladenov et al, 2018).…”
Section: Advances In Sensor Developmentmentioning
confidence: 99%
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“…Also, Wasswa et al (2019) mentioned that in complex environments, the instruments may not measure towards the minimum LOD due to background fluorescence. Although field fluorimeters have lower sensitivity and LOD ranges compared to benchtop spectrofluorimeters, they are still able to detect the same patterns and trends as laboratory instruments (Mladenov et al, 2018).…”
Section: Advances In Sensor Developmentmentioning
confidence: 99%
“…In particular studies, no corrections were applied, due to low concentration of dissolved or suspended matter and narrow temperature ranges in the monitored water. For example, Carstea et al (2018), Mladenov et al (2018) and Singh et al (2015) used uncorrected data to monitor fluctuations in the fluorescence intensity of wastewater and recycled water. Since in situ fluorimeters were able to detect minor changes in effluent DOM without any data correction, Carstea et al (2018) recommended using them without any corrections only for qualitative data, preliminary testing and early warning of underperformance issues.…”
Section: Suspended and Dissolved Mattermentioning
confidence: 99%
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