Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.
Identifieur interne : 001063 ( Main/Corpus ); précédent : 001062; suivant : 001064Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.
Auteurs : Chang He ; Jun Jin ; Bailin Xiang ; Ying Wang ; Zhaohui MaSource :
- Journal of environmental sciences (China) [ 1001-0742 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Air Pollutants, Hydrocarbons, Chlorinated, Pesticides.
- geographic : China.
- chemistry : Plant Bark.
- Environment, Regression Analysis, Socioeconomic Factors.
Abstract
Organochlorine pesticide (OCP) concentrations in tree bark from the upper Yellow River region were determined. Total OCP concentrations ranged from 2.7 to 82 ng/g dw, with a mean of 20 ng/g dw. Concentrations of total (Σ) DDTs (0.49-37 ng/g dw), HCHs (0.55-4.5 ng/g dw), and HCB (0.1-1.0 ng/g dw) were much higher than the other OCPs and accounted for 89% of the ΣOCP concentrations. p,p'-DDT was the dominant member of the DDT pesticide group and β-HCH was the dominant HCH isomer. The p,p'-DDT/p,p'-DDE and α-HCH/γ-HCH ratios suggested that there were recent DDT and γ-HCH releases. OCP concentrations in the air were estimated from the tree bark, and the estimated median ΣDDTs, ΣHCHs, and HCB concentrations in the air were 0.09, 0.14, and 0.024 pg/m(3), respectively. The relationship between total OCP concentrations and socioeconomic and natural environment indices were assessed using multiple linear regression analysis, and a regression equation including all these factors was obtained. Population density and tertiary industry were the two dominant factors that appeared to affect OCP concentrations in the upper Yellow River region.
DOI: 10.1016/S1001-0742(13)60455-6
PubMed: 25079272
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.</title><author><name sortKey="He, Chang" sort="He, Chang" uniqKey="He C" first="Chang" last="He">Chang He</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China. Electronic address: hechang010101@163.com.</nlm:affiliation></affiliation></author><author><name sortKey="Jin, Jun" sort="Jin, Jun" uniqKey="Jin J" first="Jun" last="Jin">Jun Jin</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China. Electronic address: junjin3799@126.com.</nlm:affiliation></affiliation></author><author><name sortKey="Xiang, Bailin" sort="Xiang, Bailin" uniqKey="Xiang B" first="Bailin" last="Xiang">Bailin Xiang</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation></affiliation></author><author><name sortKey="Ma, Zhaohui" sort="Ma, Zhaohui" uniqKey="Ma Z" first="Zhaohui" last="Ma">Zhaohui Ma</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25079272</idno><idno type="pmid">25079272</idno><idno type="doi">10.1016/S1001-0742(13)60455-6</idno><idno type="wicri:Area/Main/Corpus">001063</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001063</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.</title><author><name sortKey="He, Chang" sort="He, Chang" uniqKey="He C" first="Chang" last="He">Chang He</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China. Electronic address: hechang010101@163.com.</nlm:affiliation></affiliation></author><author><name sortKey="Jin, Jun" sort="Jin, Jun" uniqKey="Jin J" first="Jun" last="Jin">Jun Jin</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China. Electronic address: junjin3799@126.com.</nlm:affiliation></affiliation></author><author><name sortKey="Xiang, Bailin" sort="Xiang, Bailin" uniqKey="Xiang B" first="Bailin" last="Xiang">Bailin Xiang</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation></affiliation></author><author><name sortKey="Ma, Zhaohui" sort="Ma, Zhaohui" uniqKey="Ma Z" first="Zhaohui" last="Ma">Zhaohui Ma</name><affiliation><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of environmental sciences (China)</title><idno type="ISSN">1001-0742</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air Pollutants (analysis)</term><term>China (MeSH)</term><term>Environment (MeSH)</term><term>Hydrocarbons, Chlorinated (analysis)</term><term>Pesticides (analysis)</term><term>Plant Bark (chemistry)</term><term>Regression Analysis (MeSH)</term><term>Socioeconomic Factors (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Air Pollutants</term><term>Hydrocarbons, Chlorinated</term><term>Pesticides</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Plant Bark</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Environment</term><term>Regression Analysis</term><term>Socioeconomic Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Organochlorine pesticide (OCP) concentrations in tree bark from the upper Yellow River region were determined. Total OCP concentrations ranged from 2.7 to 82 ng/g dw, with a mean of 20 ng/g dw. Concentrations of total (Σ) DDTs (0.49-37 ng/g dw), HCHs (0.55-4.5 ng/g dw), and HCB (0.1-1.0 ng/g dw) were much higher than the other OCPs and accounted for 89% of the ΣOCP concentrations. p,p'-DDT was the dominant member of the DDT pesticide group and β-HCH was the dominant HCH isomer. The p,p'-DDT/p,p'-DDE and α-HCH/γ-HCH ratios suggested that there were recent DDT and γ-HCH releases. OCP concentrations in the air were estimated from the tree bark, and the estimated median ΣDDTs, ΣHCHs, and HCB concentrations in the air were 0.09, 0.14, and 0.024 pg/m(3), respectively. The relationship between total OCP concentrations and socioeconomic and natural environment indices were assessed using multiple linear regression analysis, and a regression equation including all these factors was obtained. Population density and tertiary industry were the two dominant factors that appeared to affect OCP concentrations in the upper Yellow River region. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25079272</PMID><DateCompleted><Year>2014</Year><Month>10</Month><Day>16</Day></DateCompleted><DateRevised><Year>2014</Year><Month>08</Month><Day>01</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1001-0742</ISSN><JournalIssue CitedMedium="Print"><Volume>26</Volume><Issue>3</Issue><PubDate><Year>2014</Year><Month>Mar</Month><Day>01</Day></PubDate></JournalIssue><Title>Journal of environmental sciences (China)</Title><ISOAbbreviation>J Environ Sci (China)</ISOAbbreviation></Journal><ArticleTitle>Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.</ArticleTitle><Pagination><MedlinePgn>593-600</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/S1001-0742(13)60455-6</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1001-0742(13)60455-6</ELocationID><Abstract><AbstractText>Organochlorine pesticide (OCP) concentrations in tree bark from the upper Yellow River region were determined. Total OCP concentrations ranged from 2.7 to 82 ng/g dw, with a mean of 20 ng/g dw. Concentrations of total (Σ) DDTs (0.49-37 ng/g dw), HCHs (0.55-4.5 ng/g dw), and HCB (0.1-1.0 ng/g dw) were much higher than the other OCPs and accounted for 89% of the ΣOCP concentrations. p,p'-DDT was the dominant member of the DDT pesticide group and β-HCH was the dominant HCH isomer. The p,p'-DDT/p,p'-DDE and α-HCH/γ-HCH ratios suggested that there were recent DDT and γ-HCH releases. OCP concentrations in the air were estimated from the tree bark, and the estimated median ΣDDTs, ΣHCHs, and HCB concentrations in the air were 0.09, 0.14, and 0.024 pg/m(3), respectively. The relationship between total OCP concentrations and socioeconomic and natural environment indices were assessed using multiple linear regression analysis, and a regression equation including all these factors was obtained. Population density and tertiary industry were the two dominant factors that appeared to affect OCP concentrations in the upper Yellow River region. </AbstractText><CopyrightInformation>Copyright © 2014 The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>He</LastName><ForeName>Chang</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China. Electronic address: hechang010101@163.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jin</LastName><ForeName>Jun</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China. 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