Na Zhao1, Gang Wang This email address is being protected from spambots. You need JavaScript enabled to view it.2,3, Guohao Li4,5, Jianlei Lang This email address is being protected from spambots. You need JavaScript enabled to view it.6 

1 Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China
2 Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China
3 Department of Environmental and Safety Engineering, College of Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China
4 Municipal Research Institute of Environmental Protection, Beijing 100037, China
5 Key Laboratory of Beijing on VOC Pollution Control Technology and Application of Urban Atmosphere, Beijing 100037, China
6 Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China


Received: September 1, 2020
Revised: January 30, 2021
Accepted: January 31, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.200545  


Cite this article:

Zhao, N., Wang, G., Li, G., Lang, J. (2021). Trends in Air Pollutant Concentrations and the Impact of Meteorology in Shandong Province, Coastal China, during 2013-2019. Aerosol Air Qual. Res. 21, 200545. https://doi.org/10.4209/aaqr.200545


HIGHLIGHTS 

  • Five criteria pollutants concentrations decreased sharply before 2017, then slowly.
  • O3 concentration increased by 72.7% in 2019 compared with that of 2013.
  • High temperature, low humidity, and low wind were favourable for O3 formation.
  • Synergistic control of NOx and VOCs was critical to mitigating O3 pollution.
  • Meteorology was favourable for air pollutant diffusion in summer and winter.
 

ABSTRACT 


Although weather conditions significantly affect air pollutant concentrations, few quantitative studies have been conducted on the effects of long-term and seasonal changes in meteorology on air quality. Hence, in this study, the trends in Shandong Province, China, for six criteria pollutants (viz., sulfur dioxide [SO2], carbon monoxide [CO], particulate matter [PM] with an aerodynamic diameter of < 10 µm [PM10], PM with an aerodynamic diameter of < 2.5 µm [PM2.5], nitrogen dioxide [NO2], and ozone [O3]) were analyzed for the period of 2013–2019, when overall emissions of air pollutants decreased, and the Weather Research and Forecasting model coupled with Chemistry (WRF/Chem) was applied to evaluate the role of inter-annual and seasonal meteorological changes. Five of the six criteria pollutants exhibited a sharp drop in concentration until 2017 and a gradual decline afterward, with the maximum and minimum annual values occurring during winter and summer, respectively. In contrast, the level of O3 rose between 2013 and 2019 and displayed the opposite seasonal trend. Also, the diurnal concentrations of the first five criteria pollutants showed a typical bimodal distribution, whereas those of the O3 showed a typical unimodal distribution. Furthermore, a trimodal distribution was observed for the ratios between the diurnal PM2.5 and PM10 concentrations. Using 2013 as the baseline, the inter-annual meteorological changes accounted for only 3.4–18.6% of the decrease in the five criteria pollutants—with little effect on the O3—between 2015 and 2019, indicating that emission control measures drove the long-term improvement in air quality during these years. However, seasonal meteorological factors, which favored diffusion during summer and winter but accumulation during spring and autumn, played a larger role in the short term for all six species, especially during winter, when they reduced concentrations (excluding those of SO2 in 2019 and O3 altogether) by 6.5–31.0%.


Keywords: Air pollution, Seasonal variation, Diurnal variation, WRF/Chem, Meteorological condition




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