Microbiological water quality in a large in-building, water recycling facility

2004 ◽  
Vol 50 (2) ◽  
pp. 165-172 ◽  
Author(s):  
R. Birks ◽  
J. Colbourne ◽  
S. Hills ◽  
R. Hobson

The Thames Water recycling plant at the Millennium Dome, London, reclaimed three sources of water: greywater from the washbasins, rainwater from the Dome roof and groundwater from a borehole on site. These were pre-treated separately, and the mixed stream filtered using ultrafiltration and reverse osmosis membranes. Monitoring for indicator microorganisms was undertaken throughout the plant and in the reclaimed water distribution system, as well as ad-hoc monitoring for the presence of pathogens in the raw waters. Treatment to the level of ultrafiltration was more than adequate to produce a water quality meeting existing worldwide reclaimed water guidelines for toilet flushing. Owing to the excellent quality of the water leaving the plant, no significant microbiological growth was observed in the reclaimed water distribution system during the year. The raw greywater exhibited a higher faecal bacterial load than the rainwater and groundwater, as predicted from more human contact (i.e. hand washing). Environmental strains of Legionella were observed in the three raw greywater samples analysed for pathogens, as was Cryptosporidium, Giardia and faecal enterococci. The rainwater had relatively high levels of faecal bacteria, probably of avian origin. Giardia was detected in one rainwater sample confirming the potential for this water source to contain pathogens.

2012 ◽  
Vol 46 (4) ◽  
pp. 1070-1078 ◽  
Author(s):  
Haibo Wang ◽  
Chun Hu ◽  
Xuexiang Hu ◽  
Min Yang ◽  
Jiuhui Qu

2012 ◽  
Vol 12 (5) ◽  
pp. 580-587 ◽  
Author(s):  
Stephen Mounce ◽  
John Machell ◽  
Joby Boxall

Safe, clean drinking water is a foundation of society and water quality monitoring can contribute to ensuring this. A case study application of the CANARY software to historic data from a UK drinking water distribution system is described. Sensitivity studies explored appropriate choice of algorithmic parameter settings for a baseline site, performance was evaluated with artificial events and the system then transferred to all sites. Results are presented for analysis of nine water quality sensors measuring six parameters and deployed in three connected district meter areas (DMAs), fed from a single water source (service reservoir), for a 1 year period and evaluated using comprehensive water utility records with 86% of event clusters successfully correlated to causes (spatially limited to DMA level). False negatives, defined by temporal clusters of water quality complaints in the pilot area not corresponding to detections, were only approximately 25%. It was demonstrated that the software could be configured and applied retrospectively (with potential for future near real time application) to detect various water quality event types (with a wider remit than contamination alone) for further interpretation.


2012 ◽  
Vol 518-523 ◽  
pp. 3703-3706
Author(s):  
Ling Ping Zhao ◽  
Fen Ge Zhang ◽  
Liang Fei Dong ◽  
Yong Wei ◽  
Bao Hua Tu ◽  
...  

According to the fuzziness of water quality in water distribution system, based on the simulation data of water quality obtained by using EPANET software,and applying entropy weight theory in the fuzzy evaluation of water quality, fuzzy evaluation model of water quality based on entropy weight and EPANET is established. Water quality in water distribution system of Hengshanqiao town is evaluated by using this method.Evaluation results are relatively objective and credible, proving that the method is simple and practical, scientific and reliable.


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