Preprints
https://doi.org/10.5194/acp-2022-123
https://doi.org/10.5194/acp-2022-123
 
01 Mar 2022
01 Mar 2022
Status: this preprint was under review for the journal ACP. A revision for further review has not been submitted.

Long-term trend of ozone pollution in China during 2014–2020: distinct seasonal and spatial characteristics

Wenjie Wang1, David Parrish2, Siwen Wang1, Fengxia Bao1, Ruijing Ni3, Xin Li4, Suding Yang4, Hongli Wang5, Yafang Cheng3, and Hang Su1 Wenjie Wang et al.
  • 1Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, 55128, Germany
  • 2David. D. Parrish, LLC, Boulder, CO, 80303, USA
  • 3Minerva Research Group, Max Planck Institute for Chemistry, Mainz 55128, Germany
  • 4State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
  • 5State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China

Abstract. In the past decade, ozone (O3) pollution has become a severe environmental problem in major cities in China. Here, based on available observational records, we investigated the long-term trend of ozone pollution in China during 2014–2020. Ozone concentrations were higher in urban areas than in non-urban areas. During these seven years, the highest ozone concentrations primarily occurred in summer in northern China, and in autumn or spring in southern China. Although ozone precursors, including nitrogen oxides (NOx) and carbon monoxide (CO), continuously decreased throughout the seven years, four ozone metrics that were used to characterize ozone exposure levels increased from 2014 to 2017 and reached a plateau after 2017. The long-term trend of ozone concentrations differed across seasons; especially from 2019 to 2020 when ozone concentrations decreased in summer and increased in winter. To analyze the causes of this observed trend, a photochemical box model was used to investigate the change in ozone sensitivity regime in two representative cities – Beijing and Shanghai. Our model simulations suggest that the summertime ozone sensitivity regime in urban areas of China has changed from a VOC-limited regime to a transition regime during 2014–2020; by 2020, the urban photochemistry is in a transition regime in summer but in a VOC-limited regime in winter. This study helps to understand the distinct trends of ozone in China and provides insights into efficient future ozone control strategies in different regions and seasons.

Wenjie Wang et al.

Status: closed (peer review stopped)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-123', Anonymous Referee #1, 24 Mar 2022
    • CC1: 'Response to Comment 3 in RC1', David Parrish, 01 Apr 2022
  • RC2: 'Comment on acp-2022-123', Anonymous Referee #2, 28 Mar 2022

Status: closed (peer review stopped)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-123', Anonymous Referee #1, 24 Mar 2022
    • CC1: 'Response to Comment 3 in RC1', David Parrish, 01 Apr 2022
  • RC2: 'Comment on acp-2022-123', Anonymous Referee #2, 28 Mar 2022

Wenjie Wang et al.

Wenjie Wang et al.

Viewed

Total article views: 806 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
543 247 16 806 4 18
  • HTML: 543
  • PDF: 247
  • XML: 16
  • Total: 806
  • BibTeX: 4
  • EndNote: 18
Views and downloads (calculated since 01 Mar 2022)
Cumulative views and downloads (calculated since 01 Mar 2022)

Viewed (geographical distribution)

Total article views: 812 (including HTML, PDF, and XML) Thereof 812 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 May 2022
Download
Short summary
Tropospheric ozone is an air pollutant that is detrimental to human health, vegetation and ecosystem productivity. A comprehensive characterization of the spatial and temporal distribution of tropospheric ozone is critical to our understanding of these issues. Here we summarize this distribution over China from the available observational records to the extent possible. This study provides insights into efficient future ozone control strategies in China.
Altmetrics