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Multivariate analysis of activated sludge community in full-scale wastewater treatment plants
We investigated changes in protozoa and metazoa community in relation to process parameters in activated sludge from four wastewater treatment plants (WWTPs) throughout the period of 1 year. Principal component analysis (PCA) showed that activated sludge from investigated treatment plants had differ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788020/ https://www.ncbi.nlm.nih.gov/pubmed/32918692 http://dx.doi.org/10.1007/s11356-020-10684-5 |
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author | Sobczyk, Mateusz Pajdak-Stós, Agnieszka Fiałkowska, Edyta Sobczyk, Łukasz Fyda, Janusz |
author_facet | Sobczyk, Mateusz Pajdak-Stós, Agnieszka Fiałkowska, Edyta Sobczyk, Łukasz Fyda, Janusz |
author_sort | Sobczyk, Mateusz |
collection | PubMed |
description | We investigated changes in protozoa and metazoa community in relation to process parameters in activated sludge from four wastewater treatment plants (WWTPs) throughout the period of 1 year. Principal component analysis (PCA) showed that activated sludge from investigated treatment plants had different dominating species representatives and community composition mainly depends on individual features of the treatment plants. Redundancy analysis (RDA) showed that the temperature in bioreactors was the most relevant factor explaining changes in the microorganism community, whereas reduction rate of chemical oxygen demand (COD), biological oxygen demand (BOD(5)), suspended solids (SS), and total nitrogen (TN) did not sufficiently explain the variation in protozoa and metazoan community composition. The results indicate that in stable working WWTP it is difficult to find a pronounced link between activated sludge species composition, process parameters, and plant configuration. Applied multivariate analysis can be a valuable tool for the exploration of the relations between community composition and WWTP process parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11356-020-10684-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7788020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-77880202021-01-14 Multivariate analysis of activated sludge community in full-scale wastewater treatment plants Sobczyk, Mateusz Pajdak-Stós, Agnieszka Fiałkowska, Edyta Sobczyk, Łukasz Fyda, Janusz Environ Sci Pollut Res Int Research Article We investigated changes in protozoa and metazoa community in relation to process parameters in activated sludge from four wastewater treatment plants (WWTPs) throughout the period of 1 year. Principal component analysis (PCA) showed that activated sludge from investigated treatment plants had different dominating species representatives and community composition mainly depends on individual features of the treatment plants. Redundancy analysis (RDA) showed that the temperature in bioreactors was the most relevant factor explaining changes in the microorganism community, whereas reduction rate of chemical oxygen demand (COD), biological oxygen demand (BOD(5)), suspended solids (SS), and total nitrogen (TN) did not sufficiently explain the variation in protozoa and metazoan community composition. The results indicate that in stable working WWTP it is difficult to find a pronounced link between activated sludge species composition, process parameters, and plant configuration. Applied multivariate analysis can be a valuable tool for the exploration of the relations between community composition and WWTP process parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11356-020-10684-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-09-12 2021 /pmc/articles/PMC7788020/ /pubmed/32918692 http://dx.doi.org/10.1007/s11356-020-10684-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Sobczyk, Mateusz Pajdak-Stós, Agnieszka Fiałkowska, Edyta Sobczyk, Łukasz Fyda, Janusz Multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
title | Multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
title_full | Multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
title_fullStr | Multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
title_full_unstemmed | Multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
title_short | Multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
title_sort | multivariate analysis of activated sludge community in full-scale wastewater treatment plants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788020/ https://www.ncbi.nlm.nih.gov/pubmed/32918692 http://dx.doi.org/10.1007/s11356-020-10684-5 |
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