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Correlations between organic pollution indicators in municipal wastewater

Abstract

The paper presents the results of a study of parameters used for determining the amount of organic pollutants in wastewater flowing into a collective wastewater treatment plant with a population equivalent of about 120 000 PE. The plant constituted part of a sewage system. Assays were performed for biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), permanganete index (CODMn) and total organic carbon (TOC). In addition, the pH of wastewater and its alkalinity were determined. Sampling of incoming wastewater and measurement of physicochemical parameters were performed once a week, in the spring. A total of 44 samples of wastewater were collected. The correlations between the individual parameters and the correlations between the ratios of these parameters were determined. It was found that it was possible to estimate, with suffi cient accuracy, the values of selected parameters for determining the concentrations of organic compounds in municipal wastewater, knowing the values of other parameters in this group. Moreover, it was shown that, knowing the relationship between the analyzed parameters, one can find multiple regression equations for a given type of wastewater, which allow one to calculate the remaining relationships with a good fit, i.e. a determination factor R2greater than 0.6

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DOI:
Digital Object Identifier (open in new tab) 10.24425/aep.2018.122296
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Creative Commons: CC-BY-NC-ND open in new tab

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Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Archiwum Ochrony Środowiska no. 44, pages 50 - 57,
ISSN: 2083-4772
Language:
English
Publication year:
2018
Bibliographic description:
Siwiec T., Reczek L., Michel M. M., Gut B., Hawer-Strojek P., Czajkowska J., Jóźwiakowski K., Gajewska M., Bugajski P.: Correlations between organic pollution indicators in municipal wastewater// Archives of Environmental Protection. -Vol. 44, iss. 4 (2018), s.50-57
DOI:
Digital Object Identifier (open in new tab) 10.24425/aep.2018.122296
Verified by:
Gdańsk University of Technology

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