In the paper we focus on the analysis of sand from wastewater treatment plants and their possibile use in agriculture. Were subjected to long-term monito-ring of sand from a sewage treatment plant, which we assess their microbial pro-peries, which could have a negative impact on their future use.
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The aim of the research was to get the expertise, how location of wastewater treatment plant to basin of sewage system influences the temperature of inflowing wastewater. The analysis included four sewage systems, which are different for the sake of length of transit canal between treatment plant and residential buildings, in which domestic sewage was produced. In analysed systems sewage flew into the treatment plants with hydraulic capacity range from 100 to 300 m3•d-1, and with population equivalent less than 2000. Measurements of temperature of air and wastewater outflowing from sewage system, in analysed year 2012, were conducted continuously, with 1 hour interval, with use resistance sensors connected with data recorder. The research showed, that the distance of treatment plant to basin of sewage system has a significant impact on wastewater temperature outflowing from sewage system. In winter period mean daily wastewater temperature outflowing from transit manifolds with length from 300 to 600 m was lower even about 3oC, but in summer period up to 8oC, in comparison to transit manifolds with length less than 10 m. Moreover, it was proved that, apart from length of transit manifold, also intensity of wastewater flow has a significant impact on wastewater ...
The study was conducted to assess the effectiveness of wastewater treatment at the municipal wastewater treatment plant in Wolbrom, to which predominantly domestic wastewater and industrial sewage flow. The assessment was made based on the analysis of the physical and chemical research results of raw and treated wastewater. The research was carried out in the period from January 2014 to December 2014. To perform the analysis of the treatment plant efficiency, four indicators of wastewater pollutants such as BOD5, COD, total nitrogen and total phosphorus were selected for further investigation. For each of the indicators degrees of reduction and coefficients of treatment plant operational reliability were calculated. The calculated degrees of reduction for each of the indicators were high and amounted to 99.0% for BOD5, 95.2% for COD, 91.0% for total nitrogen and 91.6%. for total phosphorus. These results prove the effective reduction in the amount of pollutants. The determined coefficients of treatment plant operational reliability were at a low level: BOD5 - 0.27, COD - 0.44, total nitrogen - 0.33 and total phosphorus - 0.53. The conducted analyses prove the effective operation of the treatment plant, which was confirmed by high efficiency of pollutants removal. ...
The aim of the paper was to determine the possibility of the use of Shewhart control charts to monitor changes in the forms of nitrogen, showing the quality of wastewater discharged from the wastewater treatment plant in Krosno in the years 2010-2015. The performed statistical analysis showed the highest number of cases of elevated nitrate nitrogen and/or ammonium nitrogen when the temperature of treated wastewater was below 8-9°C. This low temperature resulted in adverse effect on the activity of bacteria that were involved in biological removal of nitrogen. It was found that in the winter months, the second stage of nitrifying bacteria responsible for oxidation of nitrite to nitrate, exhibited higher activity than the denitrifying bacteria. Graphical presentation of total nitrogen content using control charts for the mean of the process revealed the exceedance of the upper specification line (USL = 10 mgNtot·dm-3) in the months from December to April. It was observed that the total nitrogen removal process in the months from June to November was stable with a very high 90% reduction in biogenic activity. The obtained results confirm the efficacy of control charts as a tool which can easily be applied in the statistical process control of ...
