Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.
Identifieur interne : 001030 ( Main/Exploration ); précédent : 001029; suivant : 001031Upper Yellow River air concentrations of organochlorine pesticides estimated from tree bark, and their relationship with socioeconomic indices.
Auteurs : Chang He [République populaire de Chine] ; Jun Jin [République populaire de Chine] ; Bailin Xiang [République populaire de Chine] ; Ying Wang [République populaire de Chine] ; Zhaohui Ma [République populaire de Chine]Source :
- Journal of environmental sciences (China) [ 1001-0742 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Hydrocarbures chlorés, Pesticides, Polluants atmosphériques.
- composition chimique : Écorce.
- Analyse de régression, Chine, Environnement, Facteurs socioéconomiques.
- Wicri :
- geographic : République populaire de Chine.
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
Affiliations:
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Electronic address: junjin3799@126.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Xiang, Bailin" sort="Xiang, Bailin" uniqKey="Xiang B" first="Bailin" last="Xiang">Bailin Xiang</name><affiliation wicri:level="1"><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name><affiliation wicri:level="1"><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Ma, Zhaohui" sort="Ma, Zhaohui" uniqKey="Ma Z" first="Zhaohui" last="Ma">Zhaohui Ma</name><affiliation wicri:level="1"><nlm:affiliation>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Life and Environmental Sciences, Minzu University of China, Beijing 100081</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></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="KwdFr" xml:lang="fr"><term>Analyse de régression (MeSH)</term><term>Chine (MeSH)</term><term>Environnement (MeSH)</term><term>Facteurs socioéconomiques (MeSH)</term><term>Hydrocarbures chlorés (analyse)</term><term>Pesticides (analyse)</term><term>Polluants atmosphériques (analyse)</term><term>Écorce (composition chimique)</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="analyse" xml:lang="fr"><term>Hydrocarbures chlorés</term><term>Pesticides</term><term>Polluants atmosphériques</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Plant Bark</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Écorce</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Environment</term><term>Regression Analysis</term><term>Socioeconomic Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de régression</term><term>Chine</term><term>Environnement</term><term>Facteurs socioéconomiques</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</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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UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>J Environ Sci (China)</MedlineTA><NlmUniqueID>100967627</NlmUniqueID><ISSNLinking>1001-0742</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000393">Air Pollutants</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D006843">Hydrocarbons, Chlorinated</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010575">Pesticides</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000393" MajorTopicYN="N">Air Pollutants</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004777" MajorTopicYN="N">Environment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006843" MajorTopicYN="N">Hydrocarbons, Chlorinated</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010575" MajorTopicYN="N">Pesticides</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D024301" MajorTopicYN="N">Plant Bark</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012044" MajorTopicYN="N">Regression Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">North-western China</Keyword><Keyword MajorTopicYN="N">atmosphere</Keyword><Keyword MajorTopicYN="N">organohalogen</Keyword><Keyword MajorTopicYN="N">persistent organic pollutants (POPs)</Keyword><Keyword MajorTopicYN="N">vegetation</Keyword><Keyword MajorTopicYN="N">willow</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>03</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>06</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>07</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>8</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>8</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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sortKey="Xiang, Bailin" sort="Xiang, Bailin" uniqKey="Xiang B" first="Bailin" last="Xiang">Bailin Xiang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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