2020
DOI: 10.1515/geo-2020-0194
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Identification of the spatial distributions, pollution levels, sources, and health risk of heavy metals in surface dusts from Korla, NW China

Abstract: A total of 54 surface dust samples were gathered from Korla in NW China, and the concentrations of six heavy metal elements, such as Hg, Cd, As, Pb, Cr, and Cu, were determined by standard methods. The geostatistical analysis, multivariate statistical analysis, pollution load index (PLI), and the US EPA health risk assessment model were used to analyze the spatial distribution, pollution, and its potential health risk of heavy metals in surface dusts, and the main sources of heavy metals were also identified. … Show more

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Cited by 9 publications
(8 citation statements)
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References 37 publications
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“…HMs in USD are influenced by natural and anthropogenic sources such as soil parent material, industrial emissions, transportation, and domestic activities [ 19 , 20 ]. Correlation analysis and cluster analysis are often widely used to identify the pollution sources of HMs [ 121 ].…”
Section: Resultsmentioning
confidence: 99%
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“…HMs in USD are influenced by natural and anthropogenic sources such as soil parent material, industrial emissions, transportation, and domestic activities [ 19 , 20 ]. Correlation analysis and cluster analysis are often widely used to identify the pollution sources of HMs [ 121 ].…”
Section: Resultsmentioning
confidence: 99%
“…In addition, dust suspended in the atmosphere continuously enters urban ecosystems under the influence of both gravity and precipitation [ 16 , 17 , 18 ]. Moreover, USD can enter urban water bodies through the surface runoff formed by precipitation and municipal road cleaning, thus leading to the continuous enrichment of many toxic pollutants in water bodies and eventually threatening the growth and reproduction of aquatic plants and animals [ 19 , 20 , 21 ]. In addition, many HMs accumulate in the human body over long periods of time through accidental ingestion, inhalation, and dermal contact, thus causing irreversible damage to human health [ 22 , 23 , 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Kamani et al [63] calculated the values of Pi for heavy metals in street dust in Tehran, Iran, obtaining values for Cd (P Cd = 4.77), Pb (P Pb = 4.78), Cu (P Cu = 10.22), and Zn (P Zn = 10.37), that indicated heavy pollution. Hayrat and Eziz [41] also revealed that dust samples from Korla, China were heavily polluted by Cr (P Cr = 3.33), Cu (P Cu = 5.81), Pb (P Pb = 7.32), and Cd (P Cd = 35.0), with the degree of pollution associated with anthropogenic activity. Another study conducted by Wahab et al [21] in Malaysia presented the Pi values of metals in street dust in the Tunku Abdul Rahman road, Kuala Lumpur, where Zn (P Zn = 3.94), Pb (P Pb = 4.20), Cr (P Cr = 5.78), and Cu (P Cu = 8.43) showed high levels of pollution.…”
Section: Pollution Load Index (Pli)mentioning
confidence: 94%
“…where P i is the pollution index for element i, C i and C b are the concentrations of element i and the background for element i, PLI is the pollution load index, and n is the number of metals analyzed in this study. The five categories of P i and the four categories of PLI [41] are shown in Table S2.…”
Section: Pollution Load Index (Pli)mentioning
confidence: 99%
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