Effect of biological activated carbon filter depth and backwashing process on transformation of biofilm community

PDF(1803 KB)
PDF(1803 KB)
Frontiers of Environmental Science & Engineering ›› 2019, Vol. 13 ›› Issue (1) : 15. DOI: 10.1007/s11783-019-1100-0
RESEARCH ARTICLE

作者信息 +

Effect of biological activated carbon filter depth and backwashing process on transformation of biofilm community

Author information +
History +

Highlight

We studied BAC biofilm during the process of initial operation and backwash.

Microbial diversity decreased gradually with the increase of BAC filter depth.

Proteobacteria dominated at the phylum level among the BAC biofilm samples.

α-proteobacteria increased about 10% in all carbon filter depth after backwash.

Abstract

The biological activated carbon (BAC) is a popular advanced water treatment to the provision of safe water supply. A bench-scale device was designed to gain a better insight into microbial diversity and community structure of BAC biofilm by using high-throughput sequencing method. Both samples of BAC biofilm (the first, third and fifth month) and water (inlet water and outlet water of carbon filter, outlet water of backwashing) were analyzed to evaluate the impact of carbon filter depth, running time and backwash process. The results showed that the microbial diversity of biofilm decreased generally with the increase of carbon filter depth and biofilm reached a steady-state at the top layer of BAC after three months’ running. Proteobacteria (71.02%–95.61%) was found to be dominant bacteria both in biofilms and water samples. As one of opportunistic pathogen, the Pseudomonas aeruginosa in the outlet water of device (1.20%) was about eight times higher than that in the inlet water of device (0.16%) at the genus level after five-month operation. To maintain the safety of drinking water, the backwash used in this test could significantly remove Sphingobacteria (from 8.69% to 5.09%, p<0.05) of carbon biofilm. After backwashing, the operational taxonomic units (OTUs) number and the Shannon index decreased significantly (p<0.05) at the bottom of carbon column and we found the Proteobacteria increased by about 10% in all biofilm samples from different filter depth. This study reveals the transformation of BAC biofilm with the impact of running time and backwashing.

Keywords

Biological activated carbon / Biofilm / Community structure / Carbon filter depth / High-throughput sequencing

引用本文

导出引用
. . Frontiers of Environmental Science & Engineering. 2019, 13(1): 15 https://doi.org/10.1007/s11783-019-1100-0

参考文献

[1]
Belila A, El-Chakhtoura J, Otaibi N, Muyzer G, Gonzalez-Gil G, Saikaly P E, van Loosdrecht M C M, Vrouwenvelder J S (2016). Bacterial community structure and variation in a full-scale seawater desalination plant for drinking water production. Water Research, 94: 62–72
CrossRef ADS Pubmed Google scholar
[2]
Broszat M, Nacke H, Blasi R, Siebe C, Huebner J, Daniel R, Grohmann E (2014). Wastewater irrigation increases the abundance of potentially harmful gammaproteobacteria in soils in Mezquital Valley, Mexico. Applied and Environmental Microbiology, 80(17): 5282–5291
CrossRef ADS Pubmed Google scholar
[3]
Caporaso J G, Lauber C L, Walters W A, Berg-Lyons D, Huntley J, Fierer N, Owens S M, Betley J, Fraser L, Bauer M, Gormley N, Gilbert J A, Smith G, Knight R (2012). Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME Journal, 6(8): 1621–1624
CrossRef ADS Pubmed Google scholar
[4]
Cohen A, Zhang Q, Luo Q, Tao Y, Colford J M Jr, Ray I (2017). Predictors of drinking water boiling and bottled water consumption in rural China: A hierarchical modeling approach. Environmental Science & Technology, 51(12): 6945–6956
CrossRef ADS Pubmed Google scholar
[5]
Cordaux R, Paces-Fessy M, Raimond M, Michel-Salzat A, Zimmer M, Bouchon D (2007). Molecular characterization and evolution of arthropod-pathogenic Rickettsiella bacteria. Applied and Environmental Microbiology, 73(15): 5045–5047
CrossRef ADS Pubmed Google scholar
[6]
Dias M F, Reis M P, Acurcio L B, Carmo A O, Diamantino C F, Motta A M, Kalapothakis E, Nicoli J R, Nascimento A M A (2018). Changes in mouse gut bacterial community in response to different types of drinking water. Water Research, 132: 79–89
CrossRef ADS Pubmed Google scholar
[7]
Douterelo I, Sharpe R L, Boxall J B (2013). Influence of hydraulic regimes on bacterial community structure and composition in an experimental drinking water distribution system. Water Research, 47(2): 503–516
CrossRef ADS Pubmed Google scholar
[8]
Edgar, R. C. (2013). UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nature Methods, 10(10), 996
CrossRef ADS Google scholar
[9]
Gerrity D, Arnold M, Dickenson E, Moser D, Sackett J D, Wert E C (2018). Microbial community characterization of ozone-biofiltration systems in drinking water and potable reuse applications. Water Research, 135: 207–219
CrossRef ADS Pubmed Google scholar
[10]
Gibert O, Lefèvre B, Fernández M, Bernat X, Paraira M, Calderer M, Martínez-Lladó X (2013). Characterising biofilm development on granular activated carbon used for drinking water production. Water Research, 47(3): 1101–1110
CrossRef ADS Pubmed Google scholar
[11]
Hildenbrand Z L, Santos I C, Liden T, Carlton D D Jr, Varona-Torres E, Martin M S, Reyes M L, Mulla S R, Schug K A (2018). Characterizing variable biogeochemical changes during the treatment of produced oilfield waste. Science of the Total Environment, 634: 1519–1529
CrossRef ADS Pubmed Google scholar
[12]
Hou L, Zhou Q, Wu Q, Gu Q, Sun M, Zhang J (2018). Spatiotemporal changes in bacterial community and microbial activity in a full-scale drinking water treatment plant. Science of the Total Environment, 625: 449–459
CrossRef ADS Pubmed Google scholar
[13]
Hu A, Ju F, Hou L, Li J, Yang X, Wang H, Mulla S I, Sun Q, Bürgmann H, Yu C P (2017). Strong impact of anthropogenic contamination on the co-occurrence patterns of a riverine microbial community. Environmental Microbiology, 19(12): 4993–5009
CrossRef ADS Pubmed Google scholar
[14]
Hunter P R, MacDonald A M, Carter R C (2010). Water supply and health. PLoS Medicine, 7(11): e1000361
CrossRef ADS Pubmed Google scholar
[15]
Kim T G, Yun J, Hong S H, Cho K S (2014). Effects of water temperature and backwashing on bacterial population and community in a biological activated carbon process at a water treatment plant. Applied Microbiology and Biotechnology, 98(3): 1417–1427
CrossRef ADS Pubmed Google scholar
[16]
LeBrun E S, King R S, Back J A, Kang S (2018). Microbial Community Structure and Function Decoupling Across a Phosphorus Gradient in Streams. Microbial Ecology, 75(1): 64–73
CrossRef ADS Pubmed Google scholar
[17]
Li W, Wang F, Zhang J, Qiao Y, Xu C, Liu Y, Qian L, Li W, Dong B (2016). Community shift of biofilms developed in a full-scale drinking water distribution system switching from different water sources. Science of the Total Environment, 544: 499–506
CrossRef ADS Pubmed Google scholar
[18]
Lin H, Zhang S, Zhang S, Lin W, Yu X (2017). The function of advanced treatment process in a drinking water treatment plant with organic matter-polluted source water. Environmental Science and Pollution Research International, 24(10): 8924–8932
CrossRef ADS Pubmed Google scholar
[19]
Lou J C, Chan H Y, Han J Y, Yang C Y (2016). High removal of haloacetic acids from treated drinking water using bio-activated carbon method. Desalination and Water Treatment, 57(53): 25627–25638
CrossRef ADS Google scholar
[20]
Lou J C, Chang C J, Tseng W B, Han J Y (2015). Reducing the concentration of assimilable organic carbon (AOC) in treated drinking water. Urban Water Journal, 12(8): 672–677
CrossRef ADS Google scholar
[21]
Montoya-Pachongo C, Douterelo I, Noakes C, Camargo-Valero M A, Sleigh A, Escobar-Rivera J C, Torres-Lozada P (2018). Field assessment of bacterial communities and total trihalomethanes: Implications for drinking water networks. Science of the Total Environment, 616-617: 345–354
CrossRef ADS Pubmed Google scholar
[22]
Park J W, Kim H C, Meyer A S, Kim S, Maeng S K (2016). Influences of NOM composition and bacteriological characteristics on biological stability in a full-scale drinking water treatment plant. Chemosphere, 160: 189–198
CrossRef ADS Pubmed Google scholar
[23]
Pramanik B K, Roddick F A, Fan L (2016). Long-term operation of biological activated carbon pre-treatment for microfiltration of secondary effluent: Correlation between the organic foulants and fouling potential. Water Research, 90: 405–414
CrossRef ADS Pubmed Google scholar
[24]
Pramanik B K, Roddick F A, Fan L, Jeong S, Vigneswaran S (2015). Assessment of biological activated carbon treatment to control membrane fouling in reverse osmosis of secondary effluent for reuse in irrigation. Desalination, 364: 90–95
CrossRef ADS Google scholar
[25]
Sharma D, Taylor-Edmonds L, Andrews R C (2018). Comparative assessment of ceramic media for drinking water biofiltration. Water Research, 128: 1–9
CrossRef ADS Pubmed Google scholar
[26]
Simpson D R (2008). Biofilm processes in biologically active carbon water purification. Water Research, 42(12): 2839–2848
CrossRef ADS Pubmed Google scholar
[27]
Su X, Hu J, Huang S, Ning K (2014). Rapid comparison and correlation analysis among massive number of microbial community samples based on MDV data model. Scientific Reports, 4(1): 6393
CrossRef ADS Pubmed Google scholar
[28]
Velten S, Boller M, Köster O, Helbing J, Weilenmann H U, Hammes F (2011). Development of biomass in a drinking water granular active carbon (GAC) filter. Water Research, 45(19): 6347–6354
CrossRef ADS Pubmed Google scholar
[29]
Wang F, Li W, Li Y, Zhang J, Chen J, Zhang W, Wu X (2018). Molecular analysis of bacterial community in the tap water with different water ages of a drinking water distribution system. Frontiers of Environmental Science & Engineering, 12(3): 6
CrossRef ADS Google scholar
[30]
Xu H, Pei H, Jin Y, Ma C, Wang Y, Sun J, Li H (2018). High-throughput sequencing reveals microbial communities in drinking water treatment sludge from six geographically distributed plants, including potentially toxic cyanobacteria and pathogens. Science of the Total Environment, 634: 769–779
CrossRef ADS Pubmed Google scholar
[31]
Yang J S, Yuan D X, Weng T P (2010). Pilot study of drinking water treatment with GAC, O-3/BAC and membrane processes in Kinmen Island, Taiwan. Desalination, 263(1–3): 271–278
CrossRef ADS Google scholar
[32]
Zhang J, Li W Y, Wang F, Qian L, Xu C, Liu Y, Qi W (2016). Exploring the biological stability situation of a full scale water distribution system in south China by three biological stability evaluation methods. Chemosphere, 161: 43–52
CrossRef ADS Pubmed Google scholar

Acknowledgements

We are grateful for the cooperation and participation of the utilities that were involved in this project, which is supported by National Key Technology Research and Development Program of Research on urban water system construction and safety assurance technology in Xiong’an New Area of China (No. 2018ZX07110-0082).

版权

2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
PDF(1803 KB)

Accesses

Citation

Detail

段落导航
相关文章

/