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Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies
Deterioration of water quality is a major problem world widely according to many international non-governmental organizations (NGO). As one of the European Union (EU) countries, Bulgaria is also obliged by EU legislation to maintain best practices in assessing surface water quality and the efficienc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630423/ https://www.ncbi.nlm.nih.gov/pubmed/31216784 http://dx.doi.org/10.3390/molecules24122274 |
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author | Yotova, Galina Lazarova, Svetlana Kudłak, Błażej Zlateva, Boika Mihaylova, Veronika Wieczerzak, Monika Venelinov, Tony Tsakovski, Stefan |
author_facet | Yotova, Galina Lazarova, Svetlana Kudłak, Błażej Zlateva, Boika Mihaylova, Veronika Wieczerzak, Monika Venelinov, Tony Tsakovski, Stefan |
author_sort | Yotova, Galina |
collection | PubMed |
description | Deterioration of water quality is a major problem world widely according to many international non-governmental organizations (NGO). As one of the European Union (EU) countries, Bulgaria is also obliged by EU legislation to maintain best practices in assessing surface water quality and the efficiency of wastewater treatment processes. For these reasons studies were undertaken to utilize ecotoxicological (Microtox(®), Phytotoxkit F(TM), Daphtoxkit F(TM)), instrumental (to determine pH, electrical conductivity (EC), chemical oxygen demand, total suspended solids (TSS), total nitrogen (N) and phosphorus (P), chlorides, sulphates, Cr, Co, Cu, Cd, Ba, V, Mn, Fe, Ni, Zn, Se, Pb), as well as advanced chemometric methods (partial least squares–discriminant analysis (PLS-DA)) in data evaluation to comprehensively assess wastewater treatment plants’ (WWTPs) effluents and surface waters quality around 21 major Bulgarian cities. The PLS-DA classification model for the physicochemical parameters gave excellent discrimination between WWTP effluents and surface waters with 93.65% correct predictions (with significant contribution of EC, TSS, P, N, Cl, Fe, Zn, and Se). The classification model based on ecotoxicological data identifies the plant test endpoints as having a greater impact on the classification model efficiency than bacterial, or crustaceans’ endpoints studied. |
format | Online Article Text |
id | pubmed-6630423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66304232019-08-19 Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies Yotova, Galina Lazarova, Svetlana Kudłak, Błażej Zlateva, Boika Mihaylova, Veronika Wieczerzak, Monika Venelinov, Tony Tsakovski, Stefan Molecules Article Deterioration of water quality is a major problem world widely according to many international non-governmental organizations (NGO). As one of the European Union (EU) countries, Bulgaria is also obliged by EU legislation to maintain best practices in assessing surface water quality and the efficiency of wastewater treatment processes. For these reasons studies were undertaken to utilize ecotoxicological (Microtox(®), Phytotoxkit F(TM), Daphtoxkit F(TM)), instrumental (to determine pH, electrical conductivity (EC), chemical oxygen demand, total suspended solids (TSS), total nitrogen (N) and phosphorus (P), chlorides, sulphates, Cr, Co, Cu, Cd, Ba, V, Mn, Fe, Ni, Zn, Se, Pb), as well as advanced chemometric methods (partial least squares–discriminant analysis (PLS-DA)) in data evaluation to comprehensively assess wastewater treatment plants’ (WWTPs) effluents and surface waters quality around 21 major Bulgarian cities. The PLS-DA classification model for the physicochemical parameters gave excellent discrimination between WWTP effluents and surface waters with 93.65% correct predictions (with significant contribution of EC, TSS, P, N, Cl, Fe, Zn, and Se). The classification model based on ecotoxicological data identifies the plant test endpoints as having a greater impact on the classification model efficiency than bacterial, or crustaceans’ endpoints studied. MDPI 2019-06-18 /pmc/articles/PMC6630423/ /pubmed/31216784 http://dx.doi.org/10.3390/molecules24122274 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yotova, Galina Lazarova, Svetlana Kudłak, Błażej Zlateva, Boika Mihaylova, Veronika Wieczerzak, Monika Venelinov, Tony Tsakovski, Stefan Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies |
title | Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies |
title_full | Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies |
title_fullStr | Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies |
title_full_unstemmed | Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies |
title_short | Assessment of the Bulgarian Wastewater Treatment Plants’ Impact on the Receiving Water Bodies |
title_sort | assessment of the bulgarian wastewater treatment plants’ impact on the receiving water bodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630423/ https://www.ncbi.nlm.nih.gov/pubmed/31216784 http://dx.doi.org/10.3390/molecules24122274 |
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