Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring

The bacterial regrowth potential (BRP) method was utilised to indirectly measure the assimilable organic carbon (AOC) as an indicator for the assessment of the microbial regrowth potential in drinking water distribution systems. A model using various microbial growth parameters was developed in orde...

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Autores principales:	Wenjin Xue, Christopher W. K. Chow, John van Leeuwen
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	assimilable organic carbon bacterial regrowth potential drinking water modelling Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/cabcac1d0b0340898323fc21d332e659
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spelling	oai:doaj.org-article:cabcac1d0b0340898323fc21d332e6592021-11-05T17:19:34ZApplication of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring2709-80282709-803610.2166/aqua.2021.069https://doaj.org/article/cabcac1d0b0340898323fc21d332e6592021-11-01T00:00:00Zhttp://aqua.iwaponline.com/content/70/7/1024https://doaj.org/toc/2709-8028https://doaj.org/toc/2709-8036The bacterial regrowth potential (BRP) method was utilised to indirectly measure the assimilable organic carbon (AOC) as an indicator for the assessment of the microbial regrowth potential in drinking water distribution systems. A model using various microbial growth parameters was developed in order to standardise the experimental interpretation for BRP measurement. This study used 82 experimental BRP data sets of water samples collected from the water treatment plant to locations (customer taps) in the distribution system. The data were used to model the BRP process (growth curve) by a data fitting procedure and to obtain a best-fitted equation. Statistical assessment and validation of the model obtained equation by fitting these 82 sets of data were conducted, and the results show average R2 values were 0.987 for treated water samples (collected at the plant prior to chlorination) and 0.983 for tap water (collected at the customer taps). The F values obtained from the F-test are all exceeded their corresponding F critical values, and the results from the t-test also showed a good outcome. These results indicate this model would be successfully applied in modelling BRP in drinking water supply systems. HIGHLIGHTS The bacterial regrowth potential method combined with the in-house developed model has shown to be a good indicator for assimilable organic carbon measurement.; A four-parameter logistic non-linear model, which is a form of Hill equation (BRP-Hill model), was developed and successfully modelled BRP in drinking water systems.; This study used microbial growth parameters to describe the bacterial growth curve from the BRP-Hill model.;Wenjin XueChristopher W. K. ChowJohn van LeeuwenIWA Publishingarticleassimilable organic carbonbacterial regrowth potentialdrinking watermodellingEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENAqua, Vol 70, Iss 7, Pp 1024-1037 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	assimilable organic carbon bacterial regrowth potential drinking water modelling Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	assimilable organic carbon bacterial regrowth potential drinking water modelling Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Wenjin Xue Christopher W. K. Chow John van Leeuwen Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring
description	The bacterial regrowth potential (BRP) method was utilised to indirectly measure the assimilable organic carbon (AOC) as an indicator for the assessment of the microbial regrowth potential in drinking water distribution systems. A model using various microbial growth parameters was developed in order to standardise the experimental interpretation for BRP measurement. This study used 82 experimental BRP data sets of water samples collected from the water treatment plant to locations (customer taps) in the distribution system. The data were used to model the BRP process (growth curve) by a data fitting procedure and to obtain a best-fitted equation. Statistical assessment and validation of the model obtained equation by fitting these 82 sets of data were conducted, and the results show average R2 values were 0.987 for treated water samples (collected at the plant prior to chlorination) and 0.983 for tap water (collected at the customer taps). The F values obtained from the F-test are all exceeded their corresponding F critical values, and the results from the t-test also showed a good outcome. These results indicate this model would be successfully applied in modelling BRP in drinking water supply systems. HIGHLIGHTS The bacterial regrowth potential method combined with the in-house developed model has shown to be a good indicator for assimilable organic carbon measurement.; A four-parameter logistic non-linear model, which is a form of Hill equation (BRP-Hill model), was developed and successfully modelled BRP in drinking water systems.; This study used microbial growth parameters to describe the bacterial growth curve from the BRP-Hill model.;
format	article
author	Wenjin Xue Christopher W. K. Chow John van Leeuwen
author_facet	Wenjin Xue Christopher W. K. Chow John van Leeuwen
author_sort	Wenjin Xue
title	Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring
title_short	Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring
title_full	Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring
title_fullStr	Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring
title_full_unstemmed	Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring
title_sort	application of model fitting technique to enhance bacterial regrowth potential (brp) measurement for drinking water supply monitoring
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/cabcac1d0b0340898323fc21d332e659
work_keys_str_mv	AT wenjinxue applicationofmodelfittingtechniquetoenhancebacterialregrowthpotentialbrpmeasurementfordrinkingwatersupplymonitoring AT christopherwkchow applicationofmodelfittingtechniquetoenhancebacterialregrowthpotentialbrpmeasurementfordrinkingwatersupplymonitoring AT johnvanleeuwen applicationofmodelfittingtechniquetoenhancebacterialregrowthpotentialbrpmeasurementfordrinkingwatersupplymonitoring
_version_	1718444126694801408

Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring

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