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Abstract

Water is a human survival and development of physical infrastructure. Drinking water is related to the survival of mankind . Safe drinking water has become a major global strategic issues. At present major risks in drinking water or microbial indicators , microbial risk is acute, caused mainly by water pathogen infection. Therefore, in this paper, water distribution network diversity and pathogenic bacterial species identification studies , to protect the safety of drinking water distribution to provide technical support. First, in the laboratory to establish a water supply network simulation , the selected continuous monitoring water quality testing . Test results from a long-term perspective , the temperature measured on the total number of bacteria influenced the results , the water temperature is also directly or indirectly affect bacterial regrowth effect on other factors . Total number of bacteria with the pipe network to increase the consumption of chlorine . Turbidity, pH and the total number of bacteria there is a good positive correlation. TOC and total bacteria was some negative correlation. Secondly, the introduction of advanced molecular biology techniques water pipe network bacterial diversity research, applied PCR-DGGE technique to study bacterial diversity of drinking water . Experiments show that the application of bacteria 16SrDNA series analysis method is a feasible quick research in drinking water distribution network distribution of microbial populations and changing technology roadmap . With this method, you can not get access to traditional training methods strains situation can be more fully reflect the true face of drinking microenvironment of the company to protect drinking water microbiological water quality and safety , to ensure the health of the people is very helpful the . Again, this innovative application of French Merieux API identification system for water distribution networks and suspicious dominant bacteria strains were identified using environmental scanning electron microscopy biofilm water supply network has been studied to prove that the application API20E identification system water supply network in the identification of bacterial species is feasible , and the identification of risk analysis results are bacteria . This microbial water quality in water distribution network research has important significance , and for the control of microbiological contamination water pipe network research foundation. Finally, the analysis of the pipe network may cause microbial contamination , proposed to control the pipe network water pollution , reduce microbiological risks, improve water quality and effective measures.

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Water supply project ( on the Water Works ) > Clean Water ( water treatment ) > Water quality
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The main water supply network water bacteriology

Abstract

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