Yu Li1,2, Miaomiao Cheng 2, Zheng Guo3, Youjiang He2, Xiuying Zhang4,5, Ximin Cui 1, Shenghai Chen6

College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Division of Remote Sensing Data Application, National Satellite Meteorological Centre, Beijing 100081, China
International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Download Citation: ||https://doi.org/10.4209/aaqr.2019.11.0603 

Cite this article:

Li, Y., Cheng, M., Guo, Z., He, Y., Zhang, X., Cui, X. and Chen, S. (2020). Increase in Surface Ozone Over Beijing-Tianjin-Hebei and the Surrounding Areas of China Inferred from Satellite Retrievals, 2005-2018. Aerosol Air Qual. Res., https://doi.org/10.4209/aaqr.2019.11.0603


  • The long term SOC was retrieved based on satellite data and GWR model.
  • The highest and lowest SOCs occurred in the southeast and northeast, respectively.
  • The growth of the SOC in cold season had a key contribution for annual growth.
  • The SOC increased faster since 2012 because of the rapid decrease of NO2.


Intention of the paper was to report the increase in surface ozone over the Beijing-Tianjin-Hebei (BTH) and close by locality during 2005-2018 based on satellite retrievals. First, a geographically weighted regression (GWR) model was established as the satellite retrievals model to estimate surface ozone concentration (SOC) based on the OMI ozone profile from 2005 to 2018. Furthermore, the SOC and growth rate were analyzed for the duration of 2005 to 2018. The spatial distribution and seasonal differences in SOC over the study area were significant, southeast showing the maximum and northeast indicating the minimum during 2005-2018. The highest and the lowest growth rates of SOC distributed in the northeast and the southwest, respectively. The peak SOC appeared in warm season, and the lowest SOC appeared in cold season; however, it exhibited a conflicting trend for the annual growth rate. The cold season had a large influence on the spatial distribution and growth rate of SOC over the whole year, while the warm season contributed greatly to the SOC. In 2005-2018, the SOC showed a trend in the upward direction with an average growth rate of 3.4 μg m-3 yr-1. Further, the increasing of SOC in 2012-2018 was higher than that in 2005-2011 because of the stronger photochemical reaction caused by the continuous increase of HCHO in summer and the weaker NO titration effect caused by the rapid decrease of NO2 in winter over the study area. Under the VOC-limited regime and continuous increase of the HCHO in study area, although the reduction in NO2 may cause growth of SOC to varying degrees, we still need to formulate an effective reduction scheme for VOCs and NO2 co-emissions to mitigate surface ozone pollution.

Keywords: OMI ozone profile; Geographically weighted regression model; Surface ozone 45 concentration; Spatio-temporal distribution; Beijing-Tianjin-Hebei and the surrounding areas

Impact Factor: 2.735

5-Year Impact Factor: 2.827

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