Contamination Assessment and Source Apportionment of Soil Heavy Metals in Typical Villages and Towns in a Nonferrous Metal Mining City

被引:0
|
作者
Wang F. [1 ]
Huang Y.-H. [2 ]
Li R.-Z. [1 ]
Wu H.-F. [2 ]
机构
[1] School of Resources and Environmental Engineering, Hefei University of Technology, Hefei
[2] Anhui Wenchuan Environmental Protection Co., Ltd., Tongling
来源
Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 09期
关键词
nonferrous metals; potential ecological risk assessment; soil heavy metal contamination; source apportionment; Tongling City;
D O I
10.13227/j.hjkx.202112016
中图分类号
学科分类号
摘要
To investigate the soil contamination degree and potential ecological risk level of heavy metals in villages and towns in Tongling City, we collected 67 surface soil samples (including surface dusts and river sediments) from the typical districts, namely Shun'an Town, Zhongming Town, and Yi'an Economic Development Zone, and measured the contents of heavy metals including Cu, Zn, Pb, Cr, Cd, As, and Ni. Then, spatial distribution characteristics of heavy metals were analyzed, and their contamination degree and potential ecological risk were assessed. Finally, source apportionment of soil heavy metals was conducted using factor analysis. The results showed that the soil pH was weakly acidic in the study area, and the average contents of Cu, Zn, Cr, Cd, As, and Ni were 4.94, 2.89, 2.07, 0.94, 7.97, 4.03, and 2.02 times their soil background values in Tongling City, respectively. In general, the contents of soil heavy metals in the western part were higher than those in the eastern part across the studied area. According to the Nemerow pollution index, Cu, Cd, As, and Pb reached pollution levels; Zn, and Ni approached moderate pollution levels; and Cr belonged to the no pollution degree category. The Nemerow comprehensive pollution index of different land types was arranged in the order of river bed > town district > industrial land > vegetable land > agricultural land > mountain forest > village. On the whole, the contamination degree of soil heavy metals in the study area reached severe pollution levels. The order of potential ecological risk coefficients of soil heavy metals was Cd>As>Cu>Pb>Ni>Zn>Cr, in which Cd belonged to the extremely high risk level, Cu and As belonged to the medium risk level, and the others were all low risk levels. The potential ecological risk levels corresponding to different land types were as follows: river bed > town distribution > industrial land > vegetable land > agricultural land > village > mountain forest. The industrial land, vegetable land, and town district generally reached a very high risk level, and the agricultural land reached a high risk, whereas both village and mountain forest land showed a medium risk. Principal component analysis showed that Cu, Zn, Pb, Cd, and As in the study area were derived from local metal mining pollution; Cr was from both the geological background and metal mining pollution; and Ni mainly came from fossil fuel combustion. © 2022 Science Press. All rights reserved.
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页码:4800 / 4809
页数:9
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共 46 条
  • [1] Zheng S N, Wang Q, Yuan Y Z, Et al., Human health risk assessment of heavy metals in soil and food crops in the Pearl River Delta urban agglomeration of China[ J], Food Chemistry, 316, (2020)
  • [2] Vanek A, Ettler V, Grygar T, Et al., Combined chemical and mineralogical evidence for heavy metal binding in mining- and smelting-affected alluvial soils, Pedosphere, 18, 4, pp. 464-478, (2008)
  • [3] Chen J, Wang J, Wang Y W, Et al., Influencing factors of cadmium bioaccumulation factor in crops, Environmental Science, 42, 4, pp. 2031-2039, (2021)
  • [4] Bocca B, Alimonti A, Petrucci F, Et al., Quantification of trace elements by sector field inductively coupled plasma mass spectrometry in urine, serum, blood and cerebrospinal fluid of patients with Parkinson's disease, Spectrochimica Acta Part B: Atomic Spectroscopy, 59, 4, pp. 559-566, (2004)
  • [5] Hooker P J, Nathanail C P., Risk-based characterisation of lead in urban soils, Chemical Geology, 226, 3-4, pp. 340-351, (2006)
  • [6] Zhu D W, Wei Y, Zhao Y H, Et al., Heavy metal pollution and ecological risk assessment of the agriculture soil in Xunyang mining area, Shaanxi Province, Northwestern China [ J ], Bulletin of Environmental Contamination and Toxicology, 101, 2, pp. 178-184, (2018)
  • [7] Moore J W, Sutherland D J., Distribution of heavy metals and radionuclides in sediments, water, and fish in an area of Great Bear Lake contaminated with mine wastes [ J ], Archives of Environmental Contamination and Toxicology, 10, 3, pp. 329-338, (1981)
  • [8] Fuge R, Laidlaw I M S, Perkins W T, Et al., The influence of acidic mine and spoil drainage on water quality in the mid-Wales area[ J], Environmental Geochemistry and Health, 13, 2, pp. 70-75, (1991)
  • [9] Munoz M A, Faz A, Acosta J A, Et al., Metal content and environmental risk assessment around high-altitude mine sites [J], Environmental Earth Sciences, 69, 1, pp. 141-149, (2013)
  • [10] Chen S X, Xie L, Chen J D, Et al., Evaluation on soil heavy metal pollution at Dabaoshan mine in Guangdong Province, Journal of Nanjing Forestry University (Natural Science Edition), 36, 3, pp. 59-63, (2012)