2018
DOI: 10.3390/ijerph15091838
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Risk Assessment and Source Identification of Toxic Metals in the Agricultural Soil around a Pb/Zn Mining and Smelting Area in Southwest China

Abstract: Mining and smelting activities are the primary sources of toxic metal pollution in China. The purpose of this study was to investigate the pollution risk and identify sources of metals in the arable soil of a Zn/Pb mining and smelting district located in Huize, in Southwest China. Topsoil (346) and profile (three) samples were collected and analyzed to determine the total concentrations of eight toxic elements (Cd, Hg, As, Pb, Cr, Cu, Zn and Ni). The results showed that the mean Cd, Hg, As, Pb, Cr, Cu, Zn and … Show more

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Cited by 45 publications
(16 citation statements)
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“…Correlation analysis (CA) and PCA can reflect the correlation among metal(loid)s levels to some extent and distinguish the different groups of metal(loid)s [44], which was used to reveal the association of the source of metal(loid)s in the study area. A strong correlation can reveal the close relationship between elements, indicating that these elements may have common sources and similar migration pathways [35,49], which can provide a reference for the traceability of metal(loid)s. The relationships among Cr, Mn, Zn, Pb, Cd, As, and pH were examined by Pearson's correlation analysis, as shown in Table 2. The correlations among Pb, Zn and Cd were highly significant at the p < 0.01 level (r > 0.77).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Correlation analysis (CA) and PCA can reflect the correlation among metal(loid)s levels to some extent and distinguish the different groups of metal(loid)s [44], which was used to reveal the association of the source of metal(loid)s in the study area. A strong correlation can reveal the close relationship between elements, indicating that these elements may have common sources and similar migration pathways [35,49], which can provide a reference for the traceability of metal(loid)s. The relationships among Cr, Mn, Zn, Pb, Cd, As, and pH were examined by Pearson's correlation analysis, as shown in Table 2. The correlations among Pb, Zn and Cd were highly significant at the p < 0.01 level (r > 0.77).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, exploring the pollution sources and spatial distribution of metal(loid)s has provided an important reference for identifying the pollution degree and formulating pollution prevention strategies [8]. Currently, kriging interpolation combined with correlation analysis, principal component analysis (PCA), and positive matrix factorization model (PMF), have been considered as highly effective methods used to determine the possible sources of pollutants [34][35][36], and allocate natural or anthropic contribution [8,35]. Furthermore, the influence of metal(loid)s on human health can be examined by determining whether the carcinogenic risk and hazard quotient of elements exceed the risk acceptance threshold.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional wells recharge from surface water and precipitation, mining by its nature consumes can seriously affect water resources [39] which can be a danger for the surrounding population, which can occur by chemical contamination and pollution, and erosion and sedimentation. Indeed, the diffusion of the contamination in the air, water and towards the biosphere, and the chain may subject people to exposure to metals that may pose a health risk if toxicity thresholds determined by international health surveillance institutions (US EPA, OM) are exceeded [40]. In Table 6 The result of the extraction of the ore and the process used to get the gold…”
Section: Impacts On the Local Population Healthmentioning
confidence: 99%
“…Relationship analysis was undertaken to assess the relationship between Pb, Cu, Ni, Mn, Zn content and the area's physical properties, BAF or heavy metal content in soils and rice grain at P=0.05 or P=0.01 level according to statistical software. As the preferred tool for identifying pollution sources, principal component analysis (PCA) was applied to the data from this study [16][17] analysis.…”
Section: ) Statistical Analysismentioning
confidence: 99%