the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modeling of PAHs From Global to Regional Scales: Model Development and Investigation of Health Risks from 2013 to 2018 in China
Abstract. Polycyclic aromatic hydrocarbons (PAHs) significantly impact human health due to their persistence, toxicity, and potential carcinogenicity. Their global distribution and regional changes caused by emission changes, especially over areas in developing countries, remain to be understood along with their health impacts. This study implemented a PAH module in the global-regional nested Atmospheric Aerosol and Chemistry Model (IAP-AACM) to investigate the global distribution of PAHs and the change in their health risks from 2013 to 2018 in China. An evaluation against observations showed that the model could capture well the spatial distribution and seasonal variation of Benzo[a]pyrene (BaP), the typical indicator species of PAHs. At a global scale, the annual mean concentrations are highest in China, followed by Europe and India, with high values exceeding the target values of 1 ng m-3 over some areas. Compared with 2013, the concentration of BaP in China decreased in 2018 due to emission reductions, whereas it increased in India and Southern Africa. However, the decline is much smaller than for PM2.5 during the same period. The concentration of BaP decreased by 8.5 % in Beijing-Tianjin-Hebei (BTH) and 9.4 % in the Yangtze River Delta (YRD). It even increased over areas in the Sichuan Basin due to changes in meteorological conditions. The total incremental lifetime cancer risk (ILCR) posed by BaP only showed a slight decrease in 2018 and the population in East China still faced significant potential health risks. The results indicate that strict additional control measures should be taken to reduce the pollution and health risks of PAHs effectively. The study also highlights the importance of considering changes in meteorological conditions when evaluating emission changes from concentration monitoring.
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Status: open (until 27 Aug 2024)
Data sets
Results and Validation of Global-Regional Nested model for polycyclic aromatic hydrocarbons Zichen Wu, Xueshun Chen, and Zifa Wang https://doi.org/10.5281/zenodo.11595165
Model code and software
A Global-Regional Nested Model of Polycyclic aromatic hydrocarbons Zichen Wu, Xueshun Chen, and Zifa Wang https://doi.org/10.5281/zenodo.12214119