Advances in Air Pollution Control and Air Quality Improvement in Chinese Megacity Clusters: From Formation Mechanisms to Mitigation Strategies
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 8
Special Issue Editors
Interests: air quality; regional air transportation; ozone and aerosol; environmental health; emerging pollutants
Special Issue Information
Dear Colleagues,
Megacity clusters in China, such as the Yangtze River Delta, Beijing-Tianjin-Hebei and Pearl River Delta, serve as critical engines for economic development while facing persistent challenges from complex air pollution.
This Special Issue seeks to compile pioneering research that elucidates the physical and chemical mechanisms governing air pollution formation and evolution in these densely populated regions. We particularly encourage submissions employing innovative methodological frameworks, including but not limited to, machine learning-enhanced prediction systems; coupled meteorology–chemistry modeling at high resolutions; advanced source apportionment techniques integrating chemical speciation with multivariate statistical approaches and novel exposure-risk assessment paradigms. Investigations evaluating the efficacy of emission control policies and analyzing the ancillary air quality benefits associated with carbon neutrality pathways are strongly welcomed.
By broadening the geographic scope to encompass key Chinese megacity clusters while emphasizing methodological innovation, this collection aims to establish an international forum for knowledge exchange and to provide robust scientific support for the next generation of air quality management strategies in urbanized regions globally.
Prof. Dr. Guangli Xiu
Dr. Lian Duan
Guest Editors
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Keywords
- megacity clusters
- multipollutant air quality
- emission control policy
- advanced source apportionment
- long-term trend analysis
- health and environmental effects
- coupled meteorology-chemistry model
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