Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China

• Published in: Environmental pollution (1987) 2021-11, Vol.289, p.117899-117899, Article 117899
• Main Authors: Yin, Hao, Liu, Cheng, Hu, Qihou, Liu, Ting, Wang, Shuntian, Gao, Meng, Xu, Shiqi, Zhang, Chengxin, Su, Wenjing
• Format: Article
• Language: English
• Subjects: Atmospheric pollution; Generalized additive models; Meteorological factors influence; Titration effect; VOC reduction
• ISSN: 0269-7491; 1873-6424; 1873-6424
• DOI: 10.1016/j.envpol.2021.117899

To prevent the spread of the COVID-19 epidemic, the Chinese megacity Wuhan has taken emergent lockdown measures starting on January 23, 2020. This provided a natural experiment to investigate the response of air quality to such emission reductions. Here, we decoupled the influence of meteorological and non-meteorological factors on main air pollutants using generalized additive models (GAMs), driven by data from the China National Environmental Monitoring Center (CNEMC) network. During the lockdown period (Jan. 23 – Apr. 8, 2020), PM2.5, PM10, NO2, SO2, and CO concentrations decreased significantly by 45 %, 49 %, 56 %, 39 %, and 18 % compared with the corresponding period in 2015–2019, with contributions by S(meteos) of 15 %, 17 %, 13 %, 10 %, and 6 %. This indicates an emission reduction of NOx at least 43 %. However, O3 increased by 43 % with a contribution by S(meteos) of 6 %. In spite of the reduced volatile organic compound (VOC) emissions by 30 % during the strict lockdown period (Jan. 23 – Feb. 14, 2020), which likely reduced the production of O3, O3 concentrations increased due to a weakening of the titration effect of NO. Our results suggest that conventional emission reduction (NOx reduction only) measures may not be sufficient to reduce (or even lead to an increase of) surface O3 concentrations, even if reaching the limit, and VOC-specific measures should also be taken. [Display omitted] •COVID-19 lockdown caused a significant reduction in pollutant, except ozone.•GAMs model can explain nonlinear relationship between pollutants and meteorology.•Increasing of ozone mainly due to weakening of titration effect.•Ozone pollution needs to be controlled by a variety of pollutants.