Characteristics and Health Risk Assessment of Trace Elements in Atmospheric PM1 During Autumn and Winter in Qingdao

被引:0
|
作者
Liu Z.-Y. [1 ]
Zhang Y.-S. [1 ,2 ]
Zhang H.-Y. [3 ]
Ma Z.-Z. [1 ]
Tao W.-X. [1 ]
Wang J. [4 ]
Xue L. [5 ]
Peng Q.-Q. [1 ]
Du J.-H. [1 ]
Zhao J.-J. [3 ]
Peng L. [5 ]
Sun Y.-J. [1 ]
机构
[1] School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao
[2] Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou
[3] Ji’nan Eco-environment Monitoring Center of Shandong Province, Ji’nan
[4] Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao
[5] Qingdao Municipal Bureau of Ecology and Environment, Qingdao
来源
Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 09期
关键词
health risk assessment; PM[!sub]1[!/sub; Qingdao; ship emissions; trace elements;
D O I
10.13227/j.hjkx.202112069
中图分类号
学科分类号
摘要
From November 1, 2018 to January 31, 2019 (OP2018-2019 ) and from November 1, 2019 to January 20, 2020 (OP2019-2020 ), PM1 measurement was conducted daily for two consecutive years. The concentration of trace elements in the atmospheric PM1 in Qingdao in autumn and winter was analyzed. The observation period was divided into four air quality levels (Level I, Level II, Level III, and Level IV), and the characteristics and sources of the concentration of trace elements in PM1 were analyzed. The non-carcinogenic risks (Zn, Pb, Mn, Cu, and V) and carcinogenic risks (As, Cr, Ni, Cd, and Co) of different people with different air quality levels were evaluated. The results showed that the changes in total metal element concentrations were associated with changes in Ca, K, and Al concentrations at different air quality classes during OP2019-2020 compared to those during OP2018-2019 and were more influenced by dust and biomass combustion sources. Compared with that during OP2018-2019 , the V concentration in different air quality levels (Level I, Level II, Level III, and Level IV) during OP2019-2020 decreased by 19.0%, 60.5%, 82.7%, and 77.5%, respectively. This was presumed to be related to the implementation of the Domestic Emission Control Area (DECA) policy for ships, which led to the significant reduction in V concentration due to the change in fuel quality of ships in the waters around Qingdao. The results of the enrichment factor, the ratio method, and the backward trajectory of airflow further indicated that the changes in V concentrations were mainly influenced by the DECA policy. However, after the implementation of the DECA, the V/ Ni value as a limit for judging the influence of ship sources in the area required further exploration. The health risk assessment results showed that the risk factor of Mn ranged from 0.07 to 1.22 during OP2018-2019 and OP2019-2020 . It was recommended to strengthen the management and control of Mn-containing pollution sources. The lifetime carcinogenic risk (ILCR) value of As and Cd under different air qualities during OP2018-2019 and OP2019-2020 was lower than 10 -4 but higher than 10 -6 , indicating that there was a carcinogenic probability, although it was still at an acceptable level. During OP2018-2019 , when the air quality was IV, the ILCR value of Cr was higher than 10 -4 , and there was a risk of cancer. © 2022 Science Press. All rights reserved.
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页码:4448 / 4457
页数:9
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共 46 条
  • [1] Zhang Y Y, Lang J L, Cheng S Y, Et al., Chemical composition and sources of PM<sub>1</sub> and PM<sub>2.5</sub> in Beijing in autumn, Science of the Total Environment, 630, pp. 72-82, (2018)
  • [2] Huang M J, Sun H R, Liu H T, Et al., Atmospheric arsenic deposition in the Pearl River Delta Region, South China: Influencing factors and speciation, Environmental Science & Technology, 52, 5, pp. 2506-2516, (2018)
  • [3] Sha Q E, Lu M H, Huang Z J, Et al., Anthropogenic atmospheric toxic metals emission inventory and its spatial characteristics in Guangdong province, China [ J ], Science of the Total Environment, 670, pp. 1146-1158, (2019)
  • [4] Zhang L, Gao Y, Wu S L, Et al., Global impact of atmospheric arsenic on health risk: 2005 to 2015 [ J], Proceedings of the National Academy of Sciences of the United States of America, 117, 25, pp. 13975-13982, (2020)
  • [5] Lei W K, Li X R, Zhang L, Et al., Pollution characteristics and health risk assessment of heavy metals in PM<sub>2.5</sub> collected in Baoding, Environmental Science, 42, 1, pp. 38-44, (2021)
  • [6] Wang K, Wang W Y, Li L L, Et al., Seasonal concentration distribution of PM<sub>1.0</sub> and PM<sub>2.5</sub> and a risk assessment of bound trace metals in Harbin, China: Effect of the species distribution of heavy metals and heat supply, Scientific Reports, 10, 1, (2020)
  • [7] Yan L N, Zuo H, Zhang J Q, Et al., Comparative study on the distribution characteristics and sources of heavy metal elements in PM<sub>1</sub>, PM<sub>2.5</sub> and PM<sub>10</sub> in Shijiazhuang city, Earth Science Frontiers, 26, 3, pp. 263-270, (2019)
  • [8] Liu L, Hu H, Li X, Et al., Pollution characteristics and source apportionment of heavy metals in PM<sub>1</sub> at Dongguan, China, Acta Scientiae Circumstantiae, 34, 2, pp. 303-309, (2014)
  • [9] Cheng Y, Zou S C, Lee S C, Et al., Characteristics and source apportionment of PM<sub>1</sub> emissions at a roadside station, Journal of Hazardous Materials, 195, pp. 82-91, (2011)
  • [10] Zhang X, Zhao X M, Meng X J, Et al., Particle size distribution and human health risk assessment of heavy metals in atmospheric particles from Beijing and Xinxiang during summer, Environmental Science, 39, 3, pp. 997-1003, (2018)