Interaction of soil heavy metal pollution with industrialisation and the landscape pattern in Taiyuan city, China.
Identifieur interne : 000127 ( PubMed/Corpus ); précédent : 000126; suivant : 000128Interaction of soil heavy metal pollution with industrialisation and the landscape pattern in Taiyuan city, China.
Auteurs : Yong Liu ; Chao Su ; Hong Zhang ; Xiaoting Li ; Jingfei PeiSource :
- PloS one [ 1932-6203 ] ; 2014.
English descriptors
- KwdEn :
- Agriculture (methods), Arsenic (analysis), Cadmium (analysis), China, Chromium (analysis), Cities, Copper (analysis), Ecosystem, Environmental Monitoring (methods), Environmental Pollution (analysis), Geography, Industry, Lead (analysis), Mercury (analysis), Metals, Heavy (analysis), Multivariate Analysis, Nickel (analysis), Principal Component Analysis, Soil (chemistry), Soil Pollutants (analysis), Urbanization, Zinc (analysis).
- MESH :
- chemical , analysis : Arsenic, Cadmium, Chromium, Copper, Lead, Mercury, Metals, Heavy, Nickel, Soil Pollutants, Zinc.
- chemical , chemistry : Soil.
- geographic : China.
- analysis : Environmental Pollution.
- methods : Agriculture, Environmental Monitoring.
- Cities, Ecosystem, Geography, Industry, Multivariate Analysis, Principal Component Analysis, Urbanization.
Abstract
Many studies indicated that industrialization and urbanization caused serious soil heavy metal pollution from industrialized age. However, fewer previous studies have conducted a combined analysis of the landscape pattern, urbanization, industrialization, and heavy metal pollution. This paper was aimed at exploring the relationships of heavy metals in the soil (Pb, Cu, Ni, As, Cd, Cr, Hg, and Zn) with landscape pattern, industrialisation, urbanisation in Taiyuan city using multivariate analysis. The multivariate analysis included correlation analysis, analysis of variance (ANOVA), independent-sample T test, and principal component analysis (PCA). Geographic information system (GIS) was also applied to determine the spatial distribution of the heavy metals. The spatial distribution maps showed that the heavy metal pollution of the soil was more serious in the centre of the study area. The results of the multivariate analysis indicated that the correlations among heavy metals were significant, and industrialisation could significantly affect the concentrations of some heavy metals. Landscape diversity showed a significant negative correlation with the heavy metal concentrations. The PCA showed that a two-factor model for heavy metal pollution, industrialisation, and the landscape pattern could effectively demonstrate the relationships between these variables. The model explained 86.71% of the total variance of the data. Moreover, the first factor was mainly loaded with the comprehensive pollution index (P), and the second factor was primarily loaded with landscape diversity and dominance (H and D). An ordination of 80 samples could show the pollution pattern of all the samples. The results revealed that local industrialisation caused heavy metal pollution of the soil, but such pollution could respond negatively to the landscape pattern. The results of the study could provide a basis for agricultural, suburban, and urban planning.
DOI: 10.1371/journal.pone.0105798
PubMed: 25251460
Links to Exploration step
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sort="Li, Xiaoting" uniqKey="Li X" first="Xiaoting" last="Li">Xiaoting Li</name><affiliation><nlm:affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author><author><name sortKey="Pei, Jingfei" sort="Pei, Jingfei" uniqKey="Pei J" first="Jingfei" last="Pei">Jingfei Pei</name><affiliation><nlm:affiliation>School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25251460</idno><idno type="pmid">25251460</idno><idno type="doi">10.1371/journal.pone.0105798</idno><idno type="wicri:Area/PubMed/Corpus">000127</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000127</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Interaction of soil heavy metal pollution with industrialisation and the landscape pattern in Taiyuan city, China.</title><author><name sortKey="Liu, Yong" sort="Liu, Yong" uniqKey="Liu Y" first="Yong" last="Liu">Yong Liu</name><affiliation><nlm:affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author><author><name sortKey="Su, Chao" sort="Su, Chao" uniqKey="Su C" first="Chao" last="Su">Chao Su</name><affiliation><nlm:affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Hong" sort="Zhang, Hong" uniqKey="Zhang H" first="Hong" last="Zhang">Hong Zhang</name><affiliation><nlm:affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Xiaoting" sort="Li, Xiaoting" uniqKey="Li X" first="Xiaoting" last="Li">Xiaoting Li</name><affiliation><nlm:affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author><author><name sortKey="Pei, Jingfei" sort="Pei, Jingfei" uniqKey="Pei J" first="Jingfei" last="Pei">Jingfei Pei</name><affiliation><nlm:affiliation>School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi Province, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (methods)</term><term>Arsenic (analysis)</term><term>Cadmium (analysis)</term><term>China</term><term>Chromium (analysis)</term><term>Cities</term><term>Copper (analysis)</term><term>Ecosystem</term><term>Environmental Monitoring (methods)</term><term>Environmental Pollution (analysis)</term><term>Geography</term><term>Industry</term><term>Lead (analysis)</term><term>Mercury (analysis)</term><term>Metals, Heavy (analysis)</term><term>Multivariate Analysis</term><term>Nickel (analysis)</term><term>Principal Component Analysis</term><term>Soil (chemistry)</term><term>Soil Pollutants (analysis)</term><term>Urbanization</term><term>Zinc (analysis)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Arsenic</term><term>Cadmium</term><term>Chromium</term><term>Copper</term><term>Lead</term><term>Mercury</term><term>Metals, Heavy</term><term>Nickel</term><term>Soil Pollutants</term><term>Zinc</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Soil</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Environmental Pollution</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Agriculture</term><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cities</term><term>Ecosystem</term><term>Geography</term><term>Industry</term><term>Multivariate Analysis</term><term>Principal Component Analysis</term><term>Urbanization</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Many studies indicated that industrialization and urbanization caused serious soil heavy metal pollution from industrialized age. However, fewer previous studies have conducted a combined analysis of the landscape pattern, urbanization, industrialization, and heavy metal pollution. This paper was aimed at exploring the relationships of heavy metals in the soil (Pb, Cu, Ni, As, Cd, Cr, Hg, and Zn) with landscape pattern, industrialisation, urbanisation in Taiyuan city using multivariate analysis. The multivariate analysis included correlation analysis, analysis of variance (ANOVA), independent-sample T test, and principal component analysis (PCA). Geographic information system (GIS) was also applied to determine the spatial distribution of the heavy metals. The spatial distribution maps showed that the heavy metal pollution of the soil was more serious in the centre of the study area. The results of the multivariate analysis indicated that the correlations among heavy metals were significant, and industrialisation could significantly affect the concentrations of some heavy metals. Landscape diversity showed a significant negative correlation with the heavy metal concentrations. The PCA showed that a two-factor model for heavy metal pollution, industrialisation, and the landscape pattern could effectively demonstrate the relationships between these variables. The model explained 86.71% of the total variance of the data. Moreover, the first factor was mainly loaded with the comprehensive pollution index (P), and the second factor was primarily loaded with landscape diversity and dominance (H and D). An ordination of 80 samples could show the pollution pattern of all the samples. The results revealed that local industrialisation caused heavy metal pollution of the soil, but such pollution could respond negatively to the landscape pattern. The results of the study could provide a basis for agricultural, suburban, and urban planning.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25251460</PMID><DateCreated><Year>2014</Year><Month>09</Month><Day>25</Day></DateCreated><DateCompleted><Year>2015</Year><Month>06</Month><Day>23</Day></DateCompleted><DateRevised><Year>2015</Year><Month>10</Month><Day>29</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>9</Issue><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Interaction of soil heavy metal pollution with industrialisation and the landscape pattern in Taiyuan city, China.</ArticleTitle><Pagination><MedlinePgn>e105798</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0105798</ELocationID><Abstract><AbstractText>Many studies indicated that industrialization and urbanization caused serious soil heavy metal pollution from industrialized age. However, fewer previous studies have conducted a combined analysis of the landscape pattern, urbanization, industrialization, and heavy metal pollution. This paper was aimed at exploring the relationships of heavy metals in the soil (Pb, Cu, Ni, As, Cd, Cr, Hg, and Zn) with landscape pattern, industrialisation, urbanisation in Taiyuan city using multivariate analysis. The multivariate analysis included correlation analysis, analysis of variance (ANOVA), independent-sample T test, and principal component analysis (PCA). Geographic information system (GIS) was also applied to determine the spatial distribution of the heavy metals. The spatial distribution maps showed that the heavy metal pollution of the soil was more serious in the centre of the study area. The results of the multivariate analysis indicated that the correlations among heavy metals were significant, and industrialisation could significantly affect the concentrations of some heavy metals. Landscape diversity showed a significant negative correlation with the heavy metal concentrations. The PCA showed that a two-factor model for heavy metal pollution, industrialisation, and the landscape pattern could effectively demonstrate the relationships between these variables. The model explained 86.71% of the total variance of the data. Moreover, the first factor was mainly loaded with the comprehensive pollution index (P), and the second factor was primarily loaded with landscape diversity and dominance (H and D). An ordination of 80 samples could show the pollution pattern of all the samples. The results revealed that local industrialisation caused heavy metal pollution of the soil, but such pollution could respond negatively to the landscape pattern. The results of the study could provide a basis for agricultural, suburban, and urban planning.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Yong</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Su</LastName><ForeName>Chao</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Hong</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Institute of Loess Plateau, Shanxi University, Taiyuan, Shanxi Province, China.</Affiliation></AffiliationInfo></Author><Author 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