Assessing the impact of source water on tap water bacterial communities in 46 drinking water supply systems in China

2020 ◽  
Vol 172 ◽  
pp. 115469 ◽  
Author(s):  
Ziming Han ◽  
Wei An ◽  
Min Yang ◽  
Yu Zhang
2008 ◽  
Vol 8 (5) ◽  
pp. 527-532 ◽  
Author(s):  
K. Henne ◽  
L. Kahlisch ◽  
J. Draheim ◽  
I. Brettar ◽  
M. G. Höfle

Despite the relevance for public health, surveillance of drinking water supply systems (DWSS) in Europe is mainly achieved by cultivation based detection of indicator bacteria. The study presented here demonstrates the use of molecular analysis based on fingerprints of DNA extracted from drinking water bacteria as a valuable monitoring tool of DWSS and was exemplified for a DWWS in Northern Germany. The analysis of the bacterial community of drinking water was performed by a set of 16S rRNA gene based fingerprints, sequence analysis of relevant bands and phylogenetic assignment of the 16S rRNA sequences. We assessed the microflora of drinking water originating from two reservoirs in the Harz Mountains. The taxonomic composition of the bacterial communities from both reservoirs was very different at the species level reflecting the different limnological conditions. Detailed analysis of the seasonal community dynamics of the tap water revealed a significant influence of both source waters on the composition of the microflora and demonstrated the relevance of the raw water microflora for the drinking water reaching the consumer. According to our experience, molecular analysis based on fingerprints of different degrees of resolution can be considered as a valuable monitoring tool of DWSS.


2019 ◽  
Vol 91 (5) ◽  
pp. 441-454
Author(s):  
Henry Ricca ◽  
Vasanthadevi Aravinthan ◽  
Gnanamanikam Mahinthakumar

Author(s):  
Wenjin Xue ◽  
Christopher W. K. Chow ◽  
John van Leeuwen

Abstract 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 assessments and model validation for evaluating the equation obtained 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.


2017 ◽  
Vol 14 (10) ◽  
pp. 1031-1037 ◽  
Author(s):  
Ljiljana Zlatanovic ◽  
Andreas Moerman ◽  
Jan Peter van der Hoek ◽  
Jan Vreeburg ◽  
Mirjam Blokker

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