Bioaccumulation of heavy metals air pollutants by urban trees.
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2019
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Abstract
Leaf and bark of trees are tools for assessing the effects of the heavy metals pollution and monitoring the environmental air quality. In this study, the possibility of using leaves and bark of two urban trees, namely, and as a bioindicator of atmospheric pollution was evaluated by determining the composition of heavy elements in the tree leaves, bark, soil, and the atmospheric dust. Two common tree species, namely, and were selected in the heavily industrial zone of surrounding Minya governorate, Upper Egypt. Two urban areas with heavy traffic load (sites 1 and 2), three industrial zones (sites 3, 4, and 5) and an uncontaminated area as a control were selected (site 6). Sampling from leaf, bark, soil, deposited dust of trees was carried out in winter and summer seasons (from November 2016 to March 2017). The concentrations of heavy metals in dust, soil, leaves, and bark possess the same trend: PbCuCd. The highest concentration of cadmium, lead, and copper was found in the leaf of and higher than bark samples of the studied species, supporting the idea suggesting that tree leaves can be used as a good indicator of heavy metals accumulation. A high and statistically significant correlation ( < .05) was found between Pb concentrations in the atmospheric dust and those in the leaves of both species throughout the two growing seasons, confirming that the main source of incorporated Pb is the atmospheric dust. Otherwise, the obtained results showed that tree does not seem to be a good accumulator of Cu. According to the obtained results, and trees are more likely to capture cadmium and lead from air, so planting these trees in industrial areas with such atmospheric pollutants would be beneficial.
| Reference Key |
elkhatib2019bioaccumulationinternational
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| Authors | El-Khatib, Ahmed Ali;Barakat, Nasser A;Youssef, Naglaa A;Samir, Nesrin A; |
| Journal | international journal of phytoremediation |
| Year | 2019 |
| DOI |
10.1080/15226514.2019.1652883
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| URL | |
| Keywords | Keywords not found |
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