The correlation between turbidity and total cell number is high under different conditions in the bacterial growth phase and has been demonstrated by Werner & Hambsch (1986). This method utilises indigenous bacteria retrieved from water samples as an inoculum and microbial regrowth is assessed indirectly by the change in turbidity over time ( Withers & Drikas 1998b Ross et al. The bacterial regrowth potential (BRP) method was developed by Werner & Hambsch (1986) and was commonly used to determine the risk of microbial regrowth in drinking water distribution systems. 2016), especially flow cytometry-based assay was widely applied in recent years ( Elhadidy et al.
Hence, several microbial assay methods have been developed to measure this substrate as a parameter to monitor the microbial regrowth potential in drinking water distribution systems ( van der Kooij 1990 Hammes & Egli 2005 Elhadidy et al. However, these concentrations of organic carbon are not high enough to be detected accurately by chemical analysis ( Withers & Drikas 1998a Ross et al. (1985), comprising only a very small proportion (0.1–0.9%) of total organic carbon in drinking water ( Volk & LeChevallier 2000 Chowdhury 2012 van der Kooij et al. The readily biodegradable or assimilable organic carbon (AOC) was identified by van der Kooij et al. One of the most important nutrients for microbial regrowth is the biodegradable component of organic carbon in the water distribution system. In drinking water distribution systems, microbial regrowth can lead to various problems, such as low aesthetic water quality (unwanted odour and colour) and issues related to infrastructure and operation (corroding pipe materials which can lead to difficulty in maintaining disinfectant residual ( Kaplan et al. These results indicate this model would be successfully applied in modelling BRP in drinking water supply systems. 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. Statistical assessment and validation of the model obtained equation by fitting these 82 sets of data were conducted, and the results show average R 2 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 data were used to model the BRP process (growth curve) by a data fitting procedure and to obtain a best-fitted equation. 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. A model using various microbial growth parameters was developed in order to standardise the experimental interpretation for BRP measurement. TableCurve 2D Version 5 can fit multiple data sets automatically in a batch-processing mode.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. THE WHOLE ART of CURING, PICKLING, and SMOKING MEAT and FISH, both in Dublin, 1847 TABLES and RULES for FACILITATING the CALCULATION of out Railway Curves, and of setting out the Widths of the Cuttings, Embankments, &c.
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