Tropospheric Ozone in China: Current Situation, Formation Mechanism and Control Measures
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 19999
Special Issue Editors
Interests: ozone; vertical observation; volatile organic compounds; boundary layer meteorology
Interests: ozone; VOCs; PM2.5; chemical composition
Interests: boundary layer meteorology; air pollution; field observation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the implementation of the Clean Air Plan since 2013, China’s particulate pollution has improved significantly, but ozone pollution has deteriorated. Given this increase in ozone concentration, the scientific community has discussed the reasons and believes that there are three possibilities. First, global warming leads to an increase in VOCs emitted by vegetation. The increase in temperature and VOCs drives the increase in the ozone background value. Second, because the response between ozone and precursors is nonlinear, inappropriate precursor emission reduction strategies lead to an increase in ozone. Third, the sharp decrease in particulate matter concentration may lead to the enhancement of radiation and decrease in HO2 uptake on particulate matter, resulting in an increase in ozone concentration. The respective contribution of the above three reasons is still uncertain.
This Special Issue aims to present original research (including review articles) investigating ozone pollution in China, focusing on ozone and its precursors in urban, rural, and background environments. Relevant topics include but are not limited to:
- Distribution and variation of ozone and its precursors;
- Relationship between ozone and climate change or meteorology;
- Responses of ozone to its precursors as well as policy-related studies for ozone pollution control.
Contributions from field observations, smog chamber simulation, air quality model, artificial intelligence, and machine learning are all welcome.
Dr. Guiqian Tang
Prof. Dr. Dongsheng Ji
Dr. Xiaolan Li
Guest Editors
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Keywords
- ozone distribution
- nitrogen oxide
- volatile organic compounds
- ozone sensitivity
- meteorology
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