Atmospheric Emissions, Exposure, Monitoring and Prediction

A special issue of Toxics (ISSN 2305-6304). This special issue belongs to the section "Air Pollution and Health".

Deadline for manuscript submissions: 23 May 2026

Special Issue Editors


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Guest Editor
School of Geography and Environment, Liaocheng University, Liaocheng 252000, China
Interests: air pollution; PM2.5; observation and modeling; climate change; artificial intelligence
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
Interests: Greenhouse gases; Carbon isotope; Polycyclic aromatic compounds; Polycyclic aromatic hydrocarbons
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Earth Environment, Chinese Academy of Science, Xi’an 710061, China
Interests: Atmospheric Science; Atmospheric chemistry modeling; aerosol, Emission Control; Carbonaceous and Ionic Components

Special Issue Information

Dear Colleagues,

The management of air pollution challenges requires a comprehensive understanding of the entire process—from the emission of pollutants at the source, through their dispersion and transformation in the atmosphere, to human exposure and, ultimately, the ability to forecast future air quality events. While significant progress has been made in characterizing emissions and ambient concentrations, the critical links between accurate exposure assessment, advanced monitoring, and reliable predictive models remain a vibrant area of research. The integration of these fields is essential for proactive public health protection, informed policy-making, and the development of effective mitigation strategies.

This Special Issue, “Atmospheric Emissions, Exposure, Monitoring and Prediction,” aims to bridge these interconnected domains. It will serve as a platform for showcasing cutting-edge research that not only identifies and quantifies pollution sources and human exposure but also leverages monitoring data and innovative modeling techniques to predict air quality. We seek contributions that enhance our predictive capabilities, which are crucial for early warning systems, health risk assessment, and evaluating the potential outcomes of emission control scenarios.

Guest Editors

Dr. Qingchun Guo

Prof. Dr. Chong Wei

Prof. Dr. Jiamao Zhou

Dr. Qingchun Guo
Dr. Chong Wei
Prof. Dr. Jiamao Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • high-resolution emission human exposure monitoring and data Integration air quality prediction and forecasting policy artificial intelligence deep learning

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Published Papers

This special issue is now open for submission.
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