Special Issue "Advances in Urban Air Pollution Observations and Simulations"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".

Deadline for manuscript submissions: 30 June 2023 | Viewed by 111

Special Issue Editor

Department of Applied Nuclear Physics, Faculty of Physics and Applied Computer Science, AGH-University of Science and Technology, 30-059 Kraków, Poland
Interests: atmosphere dynamics and composition; application of isotope tracers for greenhouse gas cycling studies; application of UAVs (unmanned aerial vehicles) in atmospheric studies; numerical modeling of the atmospheric circulation and greenhouse gas transport
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The observed environmental degradation associated with climate change and air pollution and the growing public awareness of environmental improvements have increased the importance of research aimed at better understanding the physical processes that shape atmospheric pollution levels. Continued development of air pollution measurement technologies (including the development of low-cost sensors) and advances in numerical models and the use of machine learning algorithms help us to better understand the factors affecting air quality and more effectively develop remediation strategies.

This Special Issue of Atmosphere is dedicated to collecting and disseminating research results focused on the topics described above among scientists working in all aspects of urban air pollution measurements and modeling, as well as those involved in air quality management.

Original results, review papers, and model studies related to the following aspects are all welcome contributions:

  • Physical aspects of the dispersion of air pollutants in the urban boundary layer;
  • Emission source estimation based on bottom-up inventories;
  • Top-down methods of emission assessment;
  • Source apportionment based on statistical methods (principal component analysis, positive matrix factorization);
  • Application of different tracers and proxies for identification of emission source spatiotemporal patterns for different regions;
  • Case studies related to the application of crowdsourcing applications;
  • Urban air pollution modeling with classical and machine learning methods.

Dr. Miroslaw Zimnoch
Guest Editor

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. Atmosphere 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 2000 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.


  • urban atmosphere
  • air pollutants
  • boundary layer
  • source apportionment
  • air quality modeling
  • crowdsourcing applications

Published Papers

This special issue is now open for submission.
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