Assessment of airborne heavy metal pollution using plant parts and topsoil

Serbula, Snezana M.; Miljkovic, Dusanka Dj.; Kovačević, Renata; Ilic, Ana A.

doi:10.1016/j.ecoenv.2011.10.009

Cited by 157 publications

(85 citation statements)

References 33 publications

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“…Al-Khashman et al [10] studied metal retention in date palm leaves from urban areas, and found that metals were removed from leaves through washing at rates of 16%, 24%, 28%, 61%, and 25% for Cr, Cu, Ni, Pb, and Zn, respectively. Similarly, the removal of Cu, Pb, and Zn from leaves of Robinia pseudoacacia located in an urban-industrial zone were 17%−83%, 13%−56%, and 15%−74%, respectively [12]. Our results were similar (Cu, Pb, and Zn) or higher (Cr and Ni) than the levels observed from these two plants, which had been considered by the authors to be suitable indicators of air pollution.…”

Section: Metal Concentrationssupporting

confidence: 42%

“…In addition to soil and dust, biological materials, such as fungi, lichens, grasses, tree bark, and the leaves of higher plants, have also been widely used to detect the deposition, accumulation, and distribution of metal pollution [10][11][12]. In comparison with soils, which can record anthropogenic inputs of metals for a period of several decades to several hundreds of years, biomaterial samples can only reveal a relatively short time-period of atmospheric metal deposition.…”

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Trace metals in soil, dust, and tree leaves of the urban environment, Guangzhou, China

Liang

2012

Chin. Sci. Bull.

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Metals have been constantly introduced to urban environments via various point and non-point sources of pollution, and have contaminated different urban compartments (sample types). However, most research projects have focused on a single environmental compartment to characterize urban metal contamination. In the present study, an integrated sampling program that includes surface soils, different size fractions of soil and road dust (<50 μm, 50-100 μm, 100-250 μm, and 250-1000 μm), tree leaves, and grasses, was conducted in a typical urban area of Guangzhou, China. The aim of the study was to investigate the interrelationships among the metal pollutants in these samples. The concentrations of trace metals varied greatly among different sample types, and their distribution was generally in the following order: road dust > soil dust ≥ surface soils ≈ top soils > grasses ≥ tree leaves. As for the relationships among the trace metals, different combinations were seen among the sample types, indicating different loadings of trace metals in the sampling medium. Significant correlations of metal concentrations were found between tree leaves and the smallest (<50 μm) fraction of road dust, and between soil dust (50-100 μm) and surface soils, suggesting that trace metals in these samples may influence each other. urban environment, trace metals, soil, dust, tree leaf, grass Citation:Bi X Y, Liang S Y, Li X D. Trace metals in soil, dust, and tree leaves of the urban environment,

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Section: Metal Concentrationssupporting

confidence: 42%

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confidence: 99%

Trace metals in soil, dust, and tree leaves of the urban environment, Guangzhou, China

Liang

2012

Chin. Sci. Bull.

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“…EF was calculated as EF = C plant /C backgound , where C plant and C backgound are metal concentrations (μg/g) in plant parts (leaves, branches and roots) from the polluted sampling sites and the background site, respectively (Serbula et al, 2012a).…”

Section: Discussionmentioning

confidence: 99%

“…Dominant winds in the examined area are in the W, WNW and NW direction. Winds less frequent are in the direction of E, ENE and ESE, whereas the least frequent winds are in the direction of S and SSW (Serbula et al, 2012a). Bor and its surroundings are known for the largest copper ore deposits in Serbia, and they are among the largest ones in Europe.…”

Section: Study Areamentioning

confidence: 99%

“…Higher plants which are most often used for biomonitoring in industrial and urban areas, are coniferous and deciduous trees (Rademacher, 2001;Piczak et al, 2003). The results of many researches show that metal accumulation in plants varies, depending on the species, tissues and metals (Rossini Oliva and Mingorance, 2006;Memon and Schröder, 2009;Rucandio et al, 2011;Sawidis et al, 2011;Serbula et al, 2012a). Pine (Pinus spp.)…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Airborne Heavy Metal Pollution Using Pinus spp. and Tilia spp.

Serbula

Kalinovic

Ilic

et al. 2013

Aerosol Air Qual. Res.

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The influences of airborne pollution originating from the Mining-Metallurgical Complex Bor (Serbia) on the concentrations of Cu, Pb, Zn and Mn in the samples of Tilia spp. and Pinus spp. were examined. The roots, branches, leaves/needles and soil were sampled in urban-industrial, rural and background zone at different distances from the copper smelter and at prevailing wind directions. According to the results of the enrichment factors, branches were the plant parts most enriched with Cu and Pb. The results of cluster analysis indicate that the most endangered zone in Bor is urban-industrial (at sites 0.5 km and 1 km away from the copper smelter). Aerial parts of both plant species can be used for biomonitoring of air pollution, although pine needles showed a higher level of response to pollution. According to the bioconcentration factor, translocation factor and translocation index, high concentrations of Cu and Pb in aerial parts of pine and linden are mostly a consequence of airborne pollution.

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Genetic Engineering for Metal Tolerance and Accumulation

2022

Aquatic Environmental Bioengineering

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Assessment of airborne heavy metal pollution using plant parts and topsoil

Cited by 157 publications

References 33 publications

Trace metals in soil, dust, and tree leaves of the urban environment, Guangzhou, China

Trace metals in soil, dust, and tree leaves of the urban environment, Guangzhou, China

Assessment of Airborne Heavy Metal Pollution Using Pinus spp. and Tilia spp.

Genetic Engineering for Metal Tolerance and Accumulation

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