Topical Collection on“Ozone Pollution”

Submission Status:   Open
Submission Deadline:  20 January 2025
 
Collection Editor:

Prof. Dr. Yisheng Zhang
Affiliation:  School of Environmental and Municipal Engineering, Qingdao University of Technology, China
Research Interests: Control of volatile organic compounds and ozone pollution; Atmospheric trace component monitoring and pollution tracing; Emission rules of vegetated volatile organic compounds and their influencing factors

 

Co-Collection Editors:

Prof. Dr. Chen Wang
Affiliation: School of Environmental Science and Engineering, Qilu University of Technology, China
Research Interests: Monitoring, chemical transformation, source apportionment of volatile organic compounds; Coordinated control of PM2. 5 and Ozone; Emissions estimate of VOCs

Prof. Dr. Jianhui Bai  
Affiliation: Institute of Atmospheric Physics, Chinese Academy of Sciences, China
Research Interests: Atmospheric chemistry and photochemistry; Solar radiation; Ozone and biogenic volatile organic compounds

 

Topical Collection Information:

Dear Colleagues，

This Topical Collection serves as a hub for cutting-edge research dedicated to addressing the pressing issues of atmospheric ozone pollution control and monitoring. It seeks to advance our understanding and capabilities in managing volatile organic compounds (VOCs), ozone pollution, secondary organic aerosol (SOA), and other related trace components in the atmosphere by developing innovative technologies and methodologies.

Researchers are encouraged to submit contributions that delve into various aspects of pollution tracing techniques. These may include novel approaches to tracking pollutants' (VOCs, NOx, and SOA, etc.) sources, dispersion patterns, and methods for assessing their impact on air quality and human health.

Furthermore, studies exploring the intricate relationship between vegetation and air quality are welcomed. This includes investigations into the role of different plant species in mitigating pollution and the factors influencing the emission of VOCs from vegetation. Understanding these dynamics is crucial for devising practical urban greening and ecosystem management strategies.

In line with the growing intersection of environmental science and data-driven technologies, we are particularly interested in research leveraging machine learning and artificial intelligence to enhance pollution monitoring, prediction, and management systems. Contributions in this area could range from developing predictive models for pollutant dispersion to optimizing sensor networks for real-time monitoring.

Overall, this Topical Collection aims to foster interdisciplinary collaboration and facilitate the exchange of knowledge and ideas to combat ozone pollution and safeguard environmental and public health.

Prof. Dr. Yisheng Zhang; Prof. Dr. Chen Wang; Prof. Dr. Jianhui Bai

 

Related Topics and Keywords:

  • Ozone Pollution and Control Techniques
  • Pollution Tracing and Source Apportionment of VOCs and SOA
  • Vegetation Emissions and Natural Processes
  • Advanced Monitoring and Sensing Technologies
  • Machine Learning and Artificial Intelligence Applications
  • Policy, Regulation, and Management Strategies

 

Manuscript Submission: 

For detailed instructions on the submission process, please refer to our submission guidelines. Once you have suitable manuscripts, we welcome you to contribute to this Topical Collection.