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The influence of the Clean Air Actions on the health risk of atmospheric polycyclic aromatic hydrocarbons

  • Fu Jie Zhu
  • , Long Ze Qu
  • , Wan Li Ma*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • University of Chinese Academy of Sciences
  • Hebei University of Technology
  • Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem (HPKL-PEE)

Research output: Contribution to journalArticlepeer-review

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are widespread in the atmosphere and pose significant health risks. While China’s Clean Air Actions have effectively reduced atmospheric PAH concentrations, the effects of these measures on health risks associated with PAH exposure remain unclear. This study analyzed the temporal trends in the health risks of 15 PAHs in Harbin, China, from June 2014 to May 2019, focusing on benzo[a]pyrene toxicity equivalents (BaPeq) and cancer risks (CR). Over five years, the concentrations of total, particle, and gas-phase ΣBaP eq decreased, with halving times of 3.80 ± 1.34, 3.80 ± 1.34, and 2.71 ± 2.67 years, respectively. Unlike the steady decline in total PAH concentrations, BaPeq showed an increase followed by a peak in the third year before decreasing. CR values for inhalation and dermal exposure also declined but remained above the safety threshold of 1 × 10-6 for all age groups, indicating potential cancer risks. Multiple linear regression showed only 38% of BaPeq reduction was due to emissions control, compared to 65% for total PAHs, as highly toxic PAHs were less affected. These findings emphasize the need for targeted actions on highly toxic PAHs in the future.

Original languageEnglish
Article number7
JournalJournal of Environmental Exposure Assessment
Volume4
Issue number1
DOIs
StatePublished - Mar 2025

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

Keywords

  • BaP toxicity equivalent
  • Clean Air Action
  • Monte Carlo Simulation
  • cancer risk
  • temporal trend

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