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Concentrations, Source Identification, and Lung Cancer Risk Associated with Springtime PM2.5-Bound Polycyclic Aromatic Hydrocarbons (PAHs) in Nanjing, China

  • Chong Chen
  • , Zhonghuan Xia
  • , Minmin Wu
  • , Qianqian Zhang
  • , Tao Wang
  • , Liping Wang
  • , Hao Yang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study concentrated on the pollution level, sources, and lung cancer risk of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in spring in Nanjing, China. The PM2.5 samples were collected in spring of the year 2016 in Nanjing. Sixteen United States Environmental Protection Agency priority PAHs were extracted and analyzed after sampling. The mean concentrations of PAHs and BaPeq were 3.98 ± 1.01 and 0.29 ± 0.08 ng/m3, respectively, which is a low level among results from regions worldwide. The diurnal variations of PAHs and BaPeq concentrations showed a relatively high level in the early morning, at the morning rush time of work and traffic transportation, and in the evening traffic peak hours. According to the results of diagnostic ratios, PAHs originated mainly from traffic exhaust, especially diesel vehicle emissions. In a single day, the highest inhalation exposure level was focused between 4 a.m. and 6 a.m., whereas the time between 12 a.m. to 2 p.m. in a day had the lowest exposure dose. Due to the inhalation exposure, the median values of incremental lung cancer risk in spring were estimated to be 7.08 × 10−9, 5.29 × 10−9, 3.53 × 10−8, 5.21 × 10−9, 7.21 × 10−9, 5.24 × 10−9, 3.01 × 10−8, and 5.40 × 10−9 for boys, male adolescents, male adults, male seniors, girls, female adolescents, female adults, and female seniors, respectively, indicating low potential lung cancer risk. © 2017, Springer Science+Business Media, LLC.
Original languageEnglish
Pages (from-to)391-400
JournalArchives of Environmental Contamination and Toxicology
Volume73
Issue number3
DOIs
Publication statusPublished - 1 Oct 2017
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This study was jointly supported by the National Natural Science Foundation of China (41001344 and 41673108), National Program on Key Basic Research Project (2014CB953802), China Postdoctoral Science Foundation Funded Project (2013M541696), Jiangsu Planned Projects for Postdoctoral Research Funds (1301040C), Program of Natural Science Research of Jiangsu Higher Education Institutions of China (13KJB610008 and 15KJD610004), Program of State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences (SKLECRA2013OFP07), China Scholarship Council (201606865021), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (164320H116).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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