| Literature DB >> 29998093 |
Abstract
This conceptual analysis elucidates the microbial interaction inside municipal distribution pipes, subsequent deterioration in the quality of the supply water, and its impacts on public health. Literature review involved a total of 21 original reports on microbiological events inside the water distribution system were studied, summarizing the current knowledge about the build-up of microbes in treated municipal water at various points of the distribution system. Next, original reports from the microbiological analysis of supply water from Bangladesh were collected to enlist the types of bacteria found growing actively. A schematic diagram of microbial interaction among the genera was constructed with respect to the physical, chemical, and microbiological quality of the supply water. Finally latest guidelines and expert opinions from public health authorities around the world are reviewed to keep up with using cutting-edge molecular technology to ensure safe and good quality drinking water for municipal supply.Entities:
Keywords: biofouling; deterioration of water quality; microbial biofilm; municipal water distribution; waterborne diseases
Year: 2018 PMID: 29998093 PMCID: PMC6028747 DOI: 10.3389/fpubh.2018.00184
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Original reports on biofilms inside municipal water distribution pipes.
| 1 | Gottlich | 2002 ( | Germany | Filtration, coagulation sedimentation, chlorination | Bacteria, Fungi, worms |
| 2 | Penna | 2002 ( | Brazil | – | Bacteria, Fungi |
| 3 | Langmark | 2005 ( | Sweden, Australia | Chlorination UV treatment | Bacteria |
| 4 | Hageskal | 2006 ( | Norway | – | Fungi |
| 5 | Meier | 2008 ( | UK | Chlorination | Bacteria |
| 6 | Sammon | 2010 ( | Australia | Chlorination Residual chlorine 0.643 mg/L | Fungi, Bacteria, Archaea |
| 7 | Siquira | 2010 ( | Brazil | – | Fungi, mycotoxins |
| 8 | Li | 2010 ( | China | Conductivity 393 μS/cm, Sulfate 230 mg/L Chlorine 44 mg/L | |
| 9 | White | 2012 ( | USA | – | |
| 10 | Lee | 2013 ( | Korea | UV, Chlorination, DO 10 mg/L, volatile acetate | |
| 11 | Shaw | 2015 ( | Australia | – | Bacteria, Cyanobacteria, Rhizobiales |
| 12 | Falkinham | 2015 ( | USA | – | Bacteria |
| 13 | Rozej | 2015 ( | Poland | – | |
| 14 | Karkey | 2015 ( | Nepal | Chlorination 10–169 mg/L | Enterobacteriaceae, Clostridiales, Bacteroidetes |
| 15 | Abberton | 2016 ( | Ireland | – | |
| 16 | Ginige | 2016 ( | Australia | High ATP, minerals | |
| 17 | Douterelo | 2014 ( | UK | Nitrate, Nitrite, TOC, phosphate, sulfate | |
| 18 | Prest | 2016 ( | Netherlands | – | Bacteria |
| 19 | Kooij | 2016 ( | Netherlands | 107 CFU/cc | |
| 20 | Liu | 2017 ( | Netherlands | No treatment | Bacteria |
| 21 | Li | 2017 ( | China | Carbon filter, ozonation, Chlorination | Proteobacteria, |
Water parameters from Municipal Supply Water in Bangladesh.
| Source | – | – | Rivers |
| Temperature | – | – | 29.8–31.7 ( |
| pH | 6.5–8.5 | 7 | 7.28–8.36 ( |
| Conductivity | – | 500 μS/cm | 1,158 μS/cm ( |
| Salinity | – | 200 mg/L | – |
| Total dissolved solid | – | 1,000 NTU | – |
| Turbidity | – | 5 NTU | 1.1 NTU ( |
| Chloride ion | – | 150–600 mg/L | – |
| Residual chloride | – | 0.02 mg/L | – |
| Hardness | – | 75 mh/L | – |
| Alkalinity | – | – | – |
| Nitrogen content | – | 1 mg/L | – |
| Nitrite | 0.3 mg/L | < 1 mg/L | – |
| Nitrate | 50 μg/L | 10 mg/L | 0.51–3.66 mg/L ( |
| Total aerobic bacterial count | – | – | |
| Total coliform | – | – | 1–3 CFU/100 ml ( |
| Fecal coliform | – | – | |
| BOD (5 day) | – | 0.02 mg/L | 0.55–1.74 mg/L ( |
| COD | – | 4 mg/L | – |
| Organic carbon content | – | – | – |
| Lead | 0.01 mg/L | 0.05 mg/L | 0.05 mg/L ( |
| Cadmium | 0.003 mg/L | 0.005 mg/L | – |
| Chromium | 0.005 mg/L | 0.05 mg/L | – |
| Arsenic | 0.01 mg/L | 0.05 mg/L | – |
| PCP | 0 | 0.002 mg/L | – |
| Zinc | – | 5 mg/L | – |
| Ammonia | – | – | |
| Phosphate | 0 | 6 mg/L | 1.74–4.4 mg/L |
| Sulfate | 0 | 400 mg/L | 3.44–9.37 mg/L |
Figure 1A schematic diagram for interaction among the bacteria found in supplied water in Bangladesh (cooperation , inhibition , competition , co-aggregation , benefit to one species ).
Figure 2Diagram of preventive and disruptive measures for biofilm control and elimination at different stages of the municipal water supply network.