Variations in polycyclic aromatic hydrocarbons concentrations and their contribution to aerosol optical depth during the COVID-19 outbreak: A study in Yokohama using generalized additive model

The severe social restrictions aiming at reducing the novel coronavirus disease (COVID-19) transmission during its outbreak significantly affected regional air quality. This study analyzed changes in polycyclic aromatic hydrocarbons (PAHs) concentrations in cyclone-collected powder form particulate matter (PM) samples collected in Yokohama, Japan, from 2018 to 2023. The annual mean ∑PAHs concentration decreased significantly from 20.7 ng/mg in 2019 to 13.2 ng/mg in 2020 after the outbreak. However, the main sources of PAHs remained stable and were dominated by incomplete fossil fuel combustion. A generalized additive model was utilized to analyze the statistical relationships of air pollutants, namely, aerosol particulate matter (PM 2.5 ), ∑PAHs, ozone (O 3 ), metal, and meteorological factors such as solar radiation and their impact on aerosol optical depth (AOD). AOD remote sensing data collected by the Terra/MODIS satellite reflects the degree of air turbidity and atmospheric aerosol loading. Despite the small sample size, the model fitting demonstrated a good fit and showed smoothing non-linear interaction effects among the target factors influencing secondary aerosol generation. In conclusion, intense solar radiation, high concentrations of oxidative gases, elevated levels of organic contaminants in aerosols, and the catalytic degradation of PAHs by transition metals contribute to increased atmospheric aerosol loads. This finding enhances the present understanding of the photochemical reaction processes of aerosol particles. However, longer-term observational studies are needed to confirm our findings due to the limited sample size in this study. • COVID-19 restriction policy significantly decreased the PM-bound PAHs concentration. • Emission sources of PAHs remained unchanged pre- and post-COVID-19 outbreak. • Non-linear concentration-response of O 3 and solar radiation to PAHs concentration. • Multifactor interaction has significant contribution to AOD pollution level. • Generalized additive model based on small size samples shows good fitting result.

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Journal
Atmospheric Pollution Research
Published
2025-04-16
DOI
https://doi.org/10.1016/j.apr.2025.102547
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Variations in polycyclic aromatic hydrocarbons concentrations and their contribution to aerosol optical depth during the COVID-19 outbreak: A study in Yokohama using generalized additive model

Ryosuke Mitani, Kohei Nakano, Zhenxing Shen, Tomoaki Okuda et al.
Atmospheric Pollution Research
Air Quality and Health Impacts
article

Variations in polycyclic aromatic hydrocarbons concentrations and their contribution to aerosol optical depth during the COVID-19 outbreak: A study in Yokohama using generalized additive model

Ryosuke Mitani, Kohei Nakano, Zhenxing Shen, Tomoaki Okuda, Weidong Jing
article en

Abstract

The severe social restrictions aiming at reducing the novel coronavirus disease (COVID-19) transmission during its outbreak significantly affected regional air quality. This study analyzed changes in polycyclic aromatic hydrocarbons (PAHs) concentrations in cyclone-collected powder form particulate matter (PM) samples collected in Yokohama, Japan, from 2018 to 2023. The annual mean ∑PAHs concentration decreased significantly from 20.7 ng/mg in 2019 to 13.2 ng/mg in 2020 after the outbreak. However, the main sources of PAHs remained stable and were dominated by incomplete fossil fuel combustion. A generalized additive model was utilized to analyze the statistical relationships of air pollutants, namely, aerosol particulate matter (PM 2.5 ), ∑PAHs, ozone (O 3 ), metal, and meteorological factors such as solar radiation and their impact on aerosol optical depth (AOD). AOD remote sensing data collected by the Terra/MODIS satellite reflects the degree of air turbidity and atmospheric aerosol loading. Despite the small sample size, the model fitting demonstrated a good fit and showed smoothing non-linear interaction effects among the target factors influencing secondary aerosol generation. In conclusion, intense solar radiation, high concentrations of oxidative gases, elevated levels of organic contaminants in aerosols, and the catalytic degradation of PAHs by transition metals contribute to increased atmospheric aerosol loads. This finding enhances the present understanding of the photochemical reaction processes of aerosol particles. However, longer-term observational studies are needed to confirm our findings due to the limited sample size in this study. • COVID-19 restriction policy significantly decreased the PM-bound PAHs concentration. • Emission sources of PAHs remained unchanged pre- and post-COVID-19 outbreak. • Non-linear concentration-response of O 3 and solar radiation to PAHs concentration. • Multifactor interaction has significant contribution to AOD pollution level. • Generalized additive model based on small size samples shows good fitting result.

Atmospheric Pollution ResearchVol. 16(8)
Xi'an University of Architecture and Technology (CN), Keio University (JP), Xi'an Jiaotong University (CN)
Environmental Restoration and Conservation Agency, Keio University, Amano Institute of Technology, Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 90%
Air Quality and Health Impacts
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