Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yotova, Galina, Lazarova, Svetlana, Kudłak, Błażej, Zlateva, Boika, Mihaylova, Veronika, Wieczerzak, Monika, Venelinov, Tony, Tsakovski, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783435299078012928
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
work_keys_str_mv AT yotovagalina assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT lazarovasvetlana assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT kudłakbłazej assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT zlatevaboika assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT mihaylovaveronika assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT wieczerzakmonika assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT venelinovtony assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies
AT tsakovskistefan assessmentofthebulgarianwastewatertreatmentplantsimpactonthereceivingwaterbodies