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Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs

To understand the effect of intense human activities in suburbs on environmental quality, we obtained 758 measurements of the heavy metals in certain farmland soils of the Beijing suburbs. Multivariate statistical analysis and geostatistical analysis were used to conduct a basic analysis of the heav...

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Autores principales: Zou, Jianmei, Dai, Wei, Gong, Shengxuan, Ma, Zeyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319770/
https://www.ncbi.nlm.nih.gov/pubmed/25658749
http://dx.doi.org/10.1371/journal.pone.0118082
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author Zou, Jianmei
Dai, Wei
Gong, Shengxuan
Ma, Zeyu
author_facet Zou, Jianmei
Dai, Wei
Gong, Shengxuan
Ma, Zeyu
author_sort Zou, Jianmei
collection PubMed
description To understand the effect of intense human activities in suburbs on environmental quality, we obtained 758 measurements of the heavy metals in certain farmland soils of the Beijing suburbs. Multivariate statistical analysis and geostatistical analysis were used to conduct a basic analysis of the heavy metal concentrations, the distribution characteristics and the sources of pollution of the farmland soils in these suburbs. The results showed the presence of eight heavy metals in the agricultural soils at levels exceeding the background values for As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn. In particular, all the measured Cr concentrations exceeded the background value, while As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn were present at 1.13, 1.68, 1.95, 1.43, 1.63, 0.79, 0.92 and 1.36 times their background values, respectively. The results of correlation, factor and spatial structure analyses showed that Cd, Cu, Pb and Zn were strongly homologous, whereas Cr and Hg showed a degree of heterogeneity. The analysis further indicated that in addition to natural factors, Cd, Cu, Pb and Zn in the soil were mainly associated with distribution from road traffic and land use status. Different agricultural production measures in the various areas were also important factors that affected the spatial distribution of the soil Cr concentration. The major sources of Hg pollution were landfills for industrial waste and urban domestic garbage, while the spatial distribution of As was more likely to be a result of composite pollution. The regional distribution of the heavy metals indicated that except for Cr and Hg, the high heavy metal levels occurred in districts and counties with higher organic matter concentrations, such as the northwestern and southeastern suburbs of Beijing. There was no significant Ni pollution in the agricultural soils of the Beijing suburbs.
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spelling pubmed-43197702015-02-18 Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs Zou, Jianmei Dai, Wei Gong, Shengxuan Ma, Zeyu PLoS One Research Article To understand the effect of intense human activities in suburbs on environmental quality, we obtained 758 measurements of the heavy metals in certain farmland soils of the Beijing suburbs. Multivariate statistical analysis and geostatistical analysis were used to conduct a basic analysis of the heavy metal concentrations, the distribution characteristics and the sources of pollution of the farmland soils in these suburbs. The results showed the presence of eight heavy metals in the agricultural soils at levels exceeding the background values for As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn. In particular, all the measured Cr concentrations exceeded the background value, while As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn were present at 1.13, 1.68, 1.95, 1.43, 1.63, 0.79, 0.92 and 1.36 times their background values, respectively. The results of correlation, factor and spatial structure analyses showed that Cd, Cu, Pb and Zn were strongly homologous, whereas Cr and Hg showed a degree of heterogeneity. The analysis further indicated that in addition to natural factors, Cd, Cu, Pb and Zn in the soil were mainly associated with distribution from road traffic and land use status. Different agricultural production measures in the various areas were also important factors that affected the spatial distribution of the soil Cr concentration. The major sources of Hg pollution were landfills for industrial waste and urban domestic garbage, while the spatial distribution of As was more likely to be a result of composite pollution. The regional distribution of the heavy metals indicated that except for Cr and Hg, the high heavy metal levels occurred in districts and counties with higher organic matter concentrations, such as the northwestern and southeastern suburbs of Beijing. There was no significant Ni pollution in the agricultural soils of the Beijing suburbs. Public Library of Science 2015-02-06 /pmc/articles/PMC4319770/ /pubmed/25658749 http://dx.doi.org/10.1371/journal.pone.0118082 Text en © 2015 Zou et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zou, Jianmei
Dai, Wei
Gong, Shengxuan
Ma, Zeyu
Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
title Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
title_full Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
title_fullStr Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
title_full_unstemmed Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
title_short Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
title_sort analysis of spatial variations and sources of heavy metals in farmland soils of beijing suburbs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319770/
https://www.ncbi.nlm.nih.gov/pubmed/25658749
http://dx.doi.org/10.1371/journal.pone.0118082
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