Issue |
E3S Web Conf.
Volume 171, 2020
The 9th International Scientific-Technical Conference on Environmental Engineering, Photogrammetry, Geoinformatics – Modern Technologies and Development Perspectives (EEPG Tech 2019)
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Article Number | 01007 | |
Number of page(s) | 8 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202017101007 | |
Published online | 09 June 2020 |
Reliability assessment of pollution removal of wastewater treatment plant using the method of Weibull
1 University of Agriculture in Krakow, Faculty of Environmental Engineering and Land Surveying, Department of Sanitary Engineering and Water Management, Al. Mickiewicza 21, 31-120 Krakow, Poland
2 Krakow University of Economics, Rakowicka 27, 31-510 Krakow, Poland
3 University of Life Sciences in Lublin, Akademicka 13, 20-033 Lublin, Poland
4 Politechnic Institute of Beja, Department of Technology and Applied Science, Ap 158, 7801-902 Beja, Portugal
* Corresponding author: karolina.kurek@urk.edu.pl
The aim of study was the analyze of the reliability pollution removal in wastewater treatment plant in Mińsk Mazowiecki. The article presents the results of the reliability of BOD, COD and total suspended solids removal of wastewater treatment plant with actived sludge. Physical and chemical analyses of raw wastewater and treated effluent were carried out in the years 2016–2017 (2 years). The designed size of the treatment plant with actived sludge, expressed in PE is 82 200 residents. During this study period, 50 wastewater samples were collected and analyses. For each of pollution indicators descriptive statistic, percentage reduction and and treatment plant reliability factors (WN) were calculated. The average effectiveness of BOD5 (Biochemical Oxygen Demand), CODCr (Chemical Oxygen Demand) and TSS (Total Suspended Solid) removal in this period of study were respectively: 99.1%, 96.3% and 98.9%. A reliability analysis was performed using the Weibull probability model.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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