Influence of microbial community on iron release under stagnation condition in drinking water systems
YE Ping1, SHENTU Hua-bin2,3, CHEN Huan-yu4, LI Hang-jia1, XU Bing1, ZHANG Yi-fu2, WANG Lei5, LIU Jing-qing2
1. Jiayuan Water Supply and Sewerage Company, Jiaxing 314000, China; 2. College of Engineering and Architecture, Zhejiang University, Hangzhou 310058, China; 3. Shanghai Water Engineering Design & Research Institute Co. Ltd, Shanghai 200063, China; 4. Binhai Industrial Technology Research Institute of Zhejiang University, Tianjin 300301, China; 5. College of Engineering and Architecture, Zhejiang University of Technology, Hangzhou 310014, China
Abstract:To investigate the influence of total bacteria and microbial community structure on the iron release in water supply pipes under stagnation condition, the research was carried on the pilot platform constructed in actual water supply system. The number of culturable corrosive bacteria was counted by conventional R2A cultural method, and microbial community structure was analyzed using high-throughput sequencing (454 pyrosequencing). Results show that Proteobacteria, which account for 86.69%~91.36% in pipe biofilms under stagnation condition, are the dominant microbial community in phylum level. In class level, the content of Alphaproteobacteria, Betaproteobacteria and Actinobacteria excesses half of the total amount. The total iron concentration and iron oxidizing bacteria had a strong correlation with sulfate reducing bacteria. In ductile cast iron pipes, the influence of corrosive bacteria on total iron release is greater than that of HDPE pipes. By correlation coefficient and RDA analysis, it is observed that Proteobacteria, Actinobacteria and Acidobacteria in phylum level and Alphaproteobacteria, Betaproteobacteria and Bacilli in class level promote iron release.
叶萍, 申屠华斌, 陈环宇, 李杭加, 徐兵, 张逸夫, 王磊, 柳景青. 滞流工况下管网水中微生物群落对铁释放的影响[J]. 中国环境科学, 2017, 37(12): 4578-4584.
YE Ping, SHENTU Hua-bin, CHEN Huan-yu, LI Hang-jia, XU Bing, ZHANG Yi-fu, WANG Lei, LIU Jing-qing. Influence of microbial community on iron release under stagnation condition in drinking water systems. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(12): 4578-4584.
Liu J, Chen H, Huang Q, et al. Characteristics of pipe-scale in the pipes of an urban drinking water distribution system in eastern China[J]. Water Science & Technology Water Supply, DOI:10.2166/ws.2015.183.
[4]
Zhi W, Ji G. Quantitative response relationships between nitrogen transformation rates and nitrogen functional genes in a tidal flow constructed wetland under C/N ratio constraints[J]. Water Research, 2014,64(7):32-41.
[5]
Prest E I, Hammes F, Kotzsch S, et al. A systematic approach for the assessment of bacterial growth-controlling factors linked to biological stability of drinking water in distribution systems[J]. Water Science & Technology Water Supply, DOI:10.2166/ws. 2016.001.
[6]
Chen L, Jia R B, Li L. Bacterial community of iron tubercles from a drinking water distribution system and its occurrence in stagnant tap water[J]. Environmental Science Processes & Impacts, 2013,15(7):1332.
[7]
Liu J, Shentu H, Chen H, et al. Change regularity of water quality parameters in leakage flow conditions and their relationship with iron release[J]. Water Research, 2017,124:353.
[8]
Zhang X, Mi Z, Wang Y, et al. A red water occurrence in drinking water distribution systems caused by changes in water source in Beijing, China:mechanism analysis and control measures[J]. Frontiers of Environmental Science & Engineering, 2014,8(3):417-426.
[9]
Li X, Wang H, Hu X, et al. Characteristics of corrosion sales and biofilm in aged pipe distribution systems with switching water source[J]. Engineering Failure Analysis, 2016,60:166-175.
[10]
Sarin P, Snoeyink V L, Bebee J, et al. Iron release from corroded iron pipes in drinking water distribution systems:effect of dissolved oxygen[J]. Water Research, 2004,38(5):1259.
[11]
Liu J, Chen H, Yao L, et al. The spatial distribution of pollutants in pipe-scale of large-diameter pipelines in a drinking water distribution system[J]. Journal of Hazardous Materials, 2016,317:27-35.
Beale D J, Dunn M S, Morrison P D, et al. Characterisation of bulk water samples from copper pipes undergoing microbially influenced corrosion by diagnostic metabolomic profiling[J]. Corrosion Science, 2012,55(2):272-279.
[14]
Xu D, Gu T. Carbon source starvation triggered more aggressive corrosion against carbon steel by the Desulfovibrio vulgaris biofilm[J]. International Biodeterioration & Biodegradation, 2014,91:74-81.
[15]
Tuovinen O H, Button K S, Vuorinen A, et al. Bacterial, chemical, and mineralogical characteristics of tubercles in distribution pipelines[J]. Journal, 1980,72(11):626-635.
[16]
Lehtola M J, Miettinen I T, Keinänen M M, et al. Microbiology, chemistry and biofilm development in a pilot drinking water distribution system with copper and plastic pipes[J]. Water Research, 2004,38(17):3769-79.
Moradi M, Duan J, Ashassi-Sorkhabi H, et al. De-alloying of 316stainless steel in the presence of a mixture of metal-oxidizing bacteria[J]. Corrosion Science, 2011,53(12):4282-4290.
[19]
Gerke T L, Maynard J B, Schock M R, et al. Physiochemical characterization of five iron tubercles from a single drinking water distribution system:Possible new insights on their formation and growth[J]. Corrosion Science, 2008,50(7):2030-2039.
[20]
Teng F, Guan Y T, Zhu W P. Effect of biofilm on cast iron pipe corrosion in drinking water distribution system:Corrosion scales characterization and microbial community structure investigation[J]. Corrosion Science, 2008,50(10):2816-2823.
[21]
Pikaar I, Sharma K R, Hu S, et al. Water engineering. Reducing sewer corrosion through integrated urban water management[J]. Science, 2014,345(6198):812-814.
[22]
King R A, Miller J D A. Corrosion by the sulphate-reducing bacteria[J]. Nature, 1971,233(5320):491-492.
[23]
Venzlaff H, Enning D, Srinivasan J, et al. Accelerated cathodic reaction in microbial corrosion of iron due to direct electron uptake by sulfate-reducing bacteria[J]. Corrosion Science, 2012,66(1):88-96.
[24]
Caporaso J G, Kuczynski J, Stombaugh J, et al. QⅡME allows analysis of high-throughput community sequencing data[J]. Nature Methods, 2010,7(5):335.
[25]
Li D, Li Z, Yu J, et al. Characterization of bacterial community structure in a drinking water distribution system during an occurrence of red water[J]. Applied & Environmental Microbiology, 2010,76(21):7171-80.