Editorial Board Members' Collection Series: Air Quality Assessment and Management, 2nd Edition

A special issue of Environments (ISSN 2076-3298).

Deadline for manuscript submissions: 25 April 2025 | Viewed by 1144

Special Issue Editors


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Guest Editor
Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: air pollution control; photocatalysis; UV disinfection; biofiltration
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Graduate Institute of Environmental Engineering, National Taiwan University, Taipei 10617, Taiwan
Interests: resource recovery and utilization; pyrolysis; air pollution control; advanced oxidation processes; waste treatment; waste to energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Air quality and its management continues to be a significant scientific and environmental policy issue around the world at local, national, and international scales. Degraded air quality is now known to have many health, environmental, and economic impacts, leading to increasingly urgent efforts to understand and mitigate these effects. Broadly, these concerns encompass greenhouse gases, fine particulate matter, volatile organic compounds, nitrogen and sulfur oxides, tropospheric and stratospheric ozone, atmospheric transport and chemistry, and indoor aerosolized pathogens. Research and its dissemination continue to be needed in these and related, interacting fields to facilitate continuing advances in air quality improvement around the world. 

This Special Issue requests contributions focused on the understanding and improvement of air quality in any context, including reductions in infection transmission. These contributions may cover topics such as the modelling of the chemistry and transport of pollutants, analysis of air pollution impacts, new source-reduction or emission-control technologies, the identification and quantification of diverse sources of air pollutants, or policy developments that impact air quality. Advances in any of these areas are welcome as interest grows in mitigating the health effects of indoor environments.

The publications in the first edition, which we believe may be of interest to you, can be found here: https://www.mdpi.com/journal/environments/special_issues/26396B5405.

Prof. Dr. William A. Anderson
Prof. Dr. Ching-Yuan Chang
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. Environments 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 1800 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

  • indoor air quality
  • atmospheric chemistry
  • health and environmental air pollution impacts
  • particulate matter
  • mercury and other metals
  • dioxins and furans
  • atmospheric and secondary organic aerosols bioaerosols
  • volatile organic compounds
  • air pollution control
  • emissions reduction
  • air quality monitoring
  • air quality policy, management, and regulation
  • NOx and Sox
  • ozone, tropospheric, and stratospheric
  • source attribution
  • greenhouse gases
  • global warming

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Published Papers (1 paper)

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Research

15 pages, 21550 KiB  
Article
Non-Conventional Data for Farming-Related Air Pollution: Contributions to Modelling and Risk Assessment in the Lombardy Region, Italy
by Daniele Oxoli, Lorenzo Gianquintieri, Francesca Borghi, Giacomo Fanti and Andrea Spinazzè
Environments 2024, 11(11), 229; https://doi.org/10.3390/environments11110229 - 22 Oct 2024
Viewed by 925
Abstract
Air pollution is one of the most critical global health concerns today. While emissions from industrial activities and combustion processes are the primary threats to air quality, intensive farming activities also contribute significantly, especially through ammonia emissions that promote the formation of secondary [...] Read more.
Air pollution is one of the most critical global health concerns today. While emissions from industrial activities and combustion processes are the primary threats to air quality, intensive farming activities also contribute significantly, especially through ammonia emissions that promote the formation of secondary pollutants, such as particulate matter. Advancements in air quality research have been achieved by enhancements in emissions characterisation, modelling techniques, and sensor technology, expanding the availability of air pollution data beyond traditional ground sensor observations, which are often lacking in rural agricultural areas. Accordingly, this paper demonstrates the advantages of integrating traditional and non-conventional data to investigate farming-related air pollution through a case study in the Lombardy Region, Northern Italy. The study incorporates an array of data sources, including ground sensors and atmospheric composition model estimates. The concurrent utilisation of these diverse datasets is explored through machine learning modelling, focusing on assessing the influence of agricultural activities on particulate matter distribution patterns. Finally, the reliability of non-conventional air pollution data for health risk assessment applications is also investigated. The paper critically discusses the main findings based on empirical results, highlighting the significance of integrating multiple data sources to complement traditional air quality monitoring while outlining the main limitations in terms of the accuracy and usability of such non-conventional data. Full article
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