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Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers

[Image: see text] Preventing failures of water treatment barriers can play an important role in meeting the increasing demand for microbiologically safe water. The development and integration of failure prevention strategies into quantitative microbial risk assessment (QMRA) offer opportunities to s...

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Autores principales: Sylvestre, Émile, Reynaert, Eva, Julian, Timothy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100555/
https://www.ncbi.nlm.nih.gov/pubmed/37064823
http://dx.doi.org/10.1021/acs.estlett.3c00154
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author Sylvestre, Émile
Reynaert, Eva
Julian, Timothy R.
author_facet Sylvestre, Émile
Reynaert, Eva
Julian, Timothy R.
author_sort Sylvestre, Émile
collection PubMed
description [Image: see text] Preventing failures of water treatment barriers can play an important role in meeting the increasing demand for microbiologically safe water. The development and integration of failure prevention strategies into quantitative microbial risk assessment (QMRA) offer opportunities to support the design and operation of treatment trains. This study presents existing failure models and extends them to guide the development of risk-based operational monitoring strategies. For barriers with rapid performance loss, results show that a failure of 15 s should be reliably detected to verify a log reduction value (LRV) of 6.0; thus, detecting and remediating these failures may be beyond current technology. For chemical disinfection with a residual, failure durations in order of minutes should be reliably detected to verify a LRV of 6.0. Short-term failures are buffered because the disinfectant residual concentration sustains a partial reduction performance. Therefore, increasing the contact time and hydraulic mixing reduces the impact of failures. These findings demonstrate the importance of defining precise frequencies to monitor barrier performances during operation. Overall, this study highlights the utility of process-specific models for developing failure prevention strategies for water safety management.
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spelling pubmed-101005552023-04-14 Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers Sylvestre, Émile Reynaert, Eva Julian, Timothy R. Environ Sci Technol Lett [Image: see text] Preventing failures of water treatment barriers can play an important role in meeting the increasing demand for microbiologically safe water. The development and integration of failure prevention strategies into quantitative microbial risk assessment (QMRA) offer opportunities to support the design and operation of treatment trains. This study presents existing failure models and extends them to guide the development of risk-based operational monitoring strategies. For barriers with rapid performance loss, results show that a failure of 15 s should be reliably detected to verify a log reduction value (LRV) of 6.0; thus, detecting and remediating these failures may be beyond current technology. For chemical disinfection with a residual, failure durations in order of minutes should be reliably detected to verify a LRV of 6.0. Short-term failures are buffered because the disinfectant residual concentration sustains a partial reduction performance. Therefore, increasing the contact time and hydraulic mixing reduces the impact of failures. These findings demonstrate the importance of defining precise frequencies to monitor barrier performances during operation. Overall, this study highlights the utility of process-specific models for developing failure prevention strategies for water safety management. American Chemical Society 2023-03-13 /pmc/articles/PMC10100555/ /pubmed/37064823 http://dx.doi.org/10.1021/acs.estlett.3c00154 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Sylvestre, Émile
Reynaert, Eva
Julian, Timothy R.
Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers
title Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers
title_full Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers
title_fullStr Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers
title_full_unstemmed Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers
title_short Defining Risk-Based Monitoring Frequencies to Verify the Performance of Water Treatment Barriers
title_sort defining risk-based monitoring frequencies to verify the performance of water treatment barriers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100555/
https://www.ncbi.nlm.nih.gov/pubmed/37064823
http://dx.doi.org/10.1021/acs.estlett.3c00154
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