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Microbiological and Chemical Investigation of Drinking Water Samples on the Operational Area of Pannon Víz Zrt.
151-160Views:232In our research the potable water quality was monitored between 1 January 2015 and 31 October 2017 in the operational area of Pannon-Víz Zrt. The connection between temperature, microbiological load and chemical parameters were investigated. After evaluating data, the following results have been identified. The seasonal changes of the microbiologically positive samples are determined by the contamination caused by Escherichia coli, Enterococci and Pseudomonas aeruginosa. The coliform group and the 22°C and 37°C colony-form units showed no seasonal dynamics. The analysed chemical parameters were below the limit during the examined period. Based on the correlation analysis, there is no correlation between chemical and microbiological parameters.
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The Comparative Analysis of the Microbial Communities of Activated Sludge
87-101Views:153The composition of the microbial communities in the activated sludge was thought mostly chaotic and unpredictable, but due to the new studies and breakthroughs in the past decades, now it is known that specific, accidental and non-accidental factors are responsible for the structure of the microbial community. The aim of the study is to compare the microbial communities of activated sludge of one large and two small wastewater treatment plants. During our research 14 months of data were processed. After the sample analysis and data processing, the diversity and seasonal changes of the community structures revealed. The results of the statistical analysis show that the larger system has more diverse community structure.
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The Analysis of the Seasonal Changes of Microbial Communities in the Activated Sludge of Small and Large Wastewater Treatment Plants
321-340Views:127In our research the seasonal changes of the microbial communities in the activated sludge of one large and two small wastewater treatment plants are observed and analysed. During the research, 14 months of data were processed. After the sample analysis and data processing, the research revealed the efficiency of the ecological system, and also showed the seasonal changes of the community structures. The results of the statistical analysis show, that the seasonality is less observable in the case of the larger system. Presumably, the larger bioreactors have more stable microbial composition. In addition, we searched for more connections between the components of the ecological system, the changing in the weather, and also in the efficiency in the process for treating wastewater.