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  5. Survey of atmospheric heavy metal deposition in Suqian using moss contamination

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Article
en
2019

Survey of atmospheric heavy metal deposition in Suqian using moss contamination

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en
2019
Vol 26 (7)
Vol. 26
DOI: 10.1080/10807039.2019.1609347

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Yanming Fang
Yanming Fang

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Rong Hu
Xiaoli Zhou
Yanan Wang
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Abstract

Heavy metal pollution in the atmosphere is a major environmental problem, which has important impacts on ecosystems and human health. In this study, the atmospheric deposition of cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), vanadium (V), and zinc (Zn) in Suqian, China, was investigated by using the moss Haplocladium microphyllum as a bioindicator. The survey was carried out during the summer of 2017 at 40 homogenously distributed sampling sites. Cr, Cu, Ni, Pb, V, and Zn were analyzed by inductively coupled plasma atomic emission spectrometry, and Cd was analyzed by inductively coupled plasma mass spectrometry. Wide variations in heavy metals (Cd, Pb, and Zn) indicated that the concentrations of elements are influenced by local emission sources. Spatial distribution maps of the elements were constructed using geographic information system technology. The pollution load index showed that the study area was moderately polluted to unpolluted. Significant positive correlations (p < .01) and weak positive correlations (p < .05) were identified among some of the elements, indicating that they originated from common sources. A principal component analysis classified the heavy metals into natural and anthropogenic sources, and identified four primary sources: nature soil dust, industry activities, traffic emission, and agricultural activities.

How to cite this publication

Rong Hu, Xiaoli Zhou, Yanan Wang, Yanming Fang (2019). Survey of atmospheric heavy metal deposition in Suqian using moss contamination. , 26(7), DOI: https://doi.org/10.1080/10807039.2019.1609347.

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Publication Details

Type

Article

Year

2019

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1080/10807039.2019.1609347

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