Cargando…

Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity

Pesticides are a large and heterogenous group of chemicals with a complex geographic distribution in the environment. The purpose of this study was to explore the geographic distribution of pesticides in Danish drinking water and identify potential patterns in the grouping of pesticides. Our data in...

Descripción completa

Detalles Bibliográficos
Autores principales: Skaarup, Carina, Wodschow, Kirstine, Voutchkova, Denitza D., Schullehner, Jörg, Raaschou-Nielsen, Ole, Andersen, Helle Raun, Hansen, Birgitte, Ersbøll, Annette Kjær
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775924/
https://www.ncbi.nlm.nih.gov/pubmed/35055647
http://dx.doi.org/10.3390/ijerph19020823
_version_ 1784636705945419776
author Skaarup, Carina
Wodschow, Kirstine
Voutchkova, Denitza D.
Schullehner, Jörg
Raaschou-Nielsen, Ole
Andersen, Helle Raun
Hansen, Birgitte
Ersbøll, Annette Kjær
author_facet Skaarup, Carina
Wodschow, Kirstine
Voutchkova, Denitza D.
Schullehner, Jörg
Raaschou-Nielsen, Ole
Andersen, Helle Raun
Hansen, Birgitte
Ersbøll, Annette Kjær
author_sort Skaarup, Carina
collection PubMed
description Pesticides are a large and heterogenous group of chemicals with a complex geographic distribution in the environment. The purpose of this study was to explore the geographic distribution of pesticides in Danish drinking water and identify potential patterns in the grouping of pesticides. Our data included 899,169 analyses of 167 pesticides and metabolites, of which 55 were identified above the detection limit. Pesticide patterns were defined by (1) pesticide groups based on chemical structure and pesticide–metabolite relations and (2) an exploratory factor analysis identifying underlying patterns of related pesticides within waterworks. The geographic distribution was evaluated by mapping the pesticide categories for groups and factor components, namely those detected, quantified, above quality standards, and not analysed. We identified five and seven factor components for the periods 2002–2011 and 2012–2018, respectively. In total, 16 pesticide groups were identified, of which six were representative in space and time with regards to the number of waterworks and analyses, namely benzothiazinone, benzonitriles, organophosphates, phenoxy herbicides, triazines, and triazinones. Pesticide mapping identified areas where multiple pesticides were detected, indicating areas with a higher pesticide burden. The results contribute to a better understanding of the pesticide pattern in Danish drinking water and may contribute to exposure assessments for future epidemiological studies.
format Online
Article
Text
id pubmed-8775924
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-87759242022-01-21 Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity Skaarup, Carina Wodschow, Kirstine Voutchkova, Denitza D. Schullehner, Jörg Raaschou-Nielsen, Ole Andersen, Helle Raun Hansen, Birgitte Ersbøll, Annette Kjær Int J Environ Res Public Health Article Pesticides are a large and heterogenous group of chemicals with a complex geographic distribution in the environment. The purpose of this study was to explore the geographic distribution of pesticides in Danish drinking water and identify potential patterns in the grouping of pesticides. Our data included 899,169 analyses of 167 pesticides and metabolites, of which 55 were identified above the detection limit. Pesticide patterns were defined by (1) pesticide groups based on chemical structure and pesticide–metabolite relations and (2) an exploratory factor analysis identifying underlying patterns of related pesticides within waterworks. The geographic distribution was evaluated by mapping the pesticide categories for groups and factor components, namely those detected, quantified, above quality standards, and not analysed. We identified five and seven factor components for the periods 2002–2011 and 2012–2018, respectively. In total, 16 pesticide groups were identified, of which six were representative in space and time with regards to the number of waterworks and analyses, namely benzothiazinone, benzonitriles, organophosphates, phenoxy herbicides, triazines, and triazinones. Pesticide mapping identified areas where multiple pesticides were detected, indicating areas with a higher pesticide burden. The results contribute to a better understanding of the pesticide pattern in Danish drinking water and may contribute to exposure assessments for future epidemiological studies. MDPI 2022-01-12 /pmc/articles/PMC8775924/ /pubmed/35055647 http://dx.doi.org/10.3390/ijerph19020823 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Skaarup, Carina
Wodschow, Kirstine
Voutchkova, Denitza D.
Schullehner, Jörg
Raaschou-Nielsen, Ole
Andersen, Helle Raun
Hansen, Birgitte
Ersbøll, Annette Kjær
Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity
title Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity
title_full Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity
title_fullStr Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity
title_full_unstemmed Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity
title_short Geographical Distribution and Pattern of Pesticides in Danish Drinking Water 2002–2018: Reducing Data Complexity
title_sort geographical distribution and pattern of pesticides in danish drinking water 2002–2018: reducing data complexity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775924/
https://www.ncbi.nlm.nih.gov/pubmed/35055647
http://dx.doi.org/10.3390/ijerph19020823
work_keys_str_mv AT skaarupcarina geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT wodschowkirstine geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT voutchkovadenitzad geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT schullehnerjorg geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT raaschounielsenole geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT andersenhelleraun geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT hansenbirgitte geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity
AT ersbøllannettekjær geographicaldistributionandpatternofpesticidesindanishdrinkingwater20022018reducingdatacomplexity