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

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

Deadline for manuscript submissions: closed (25 April 2025) | Viewed by 2746

Special Issue Editors

Prof. Dr. William A. Anderson

E-Mail Website
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
Prof. Dr. Ching-Yuan Chang

E-Mail Website
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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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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29 pages, 4833 KiB  
Article
Subjective and Objective Measurement of Indoor Environmental Quality and Occupant Comfort in a Multinational Graduate Student Office
by Onkangi Ruth, Kazuki Kuga and Kazuhide Ito
Environments 2025, 12(4), 117; https://doi.org/10.3390/environments12040117 - 10 Apr 2025
Viewed by 229
Abstract
In an air-conditioned multinational graduate students’ office in Japan during the winter season, we examined indoor environmental conditions, occupants’ perceptions, and their acceptance levels over five consecutive days. Indoor air quality (IAQ) acceptance peaked on the third day, coinciding with the most favourable [...] Read more.
In an air-conditioned multinational graduate students’ office in Japan during the winter season, we examined indoor environmental conditions, occupants’ perceptions, and their acceptance levels over five consecutive days. Indoor air quality (IAQ) acceptance peaked on the third day, coinciding with the most favourable thermal sensation vote, which was “neutral” at a geometric mean indoor temperature of 25.1 °C. Aural comfort received the lowest acceptance due to ongoing construction work, but did not significantly impact overall IEQ acceptance, thus suggesting that unacceptable aspects of indoor environmental quality (IEQ) can be offset by acceptable aspects. IAQ and thermal comfort compensated for its effects, offering insights into occupants’ environmental tolerance. IAQ sensation votes and visual comfort votes exhibit a strong relationship with overall comfort, as indicated by their respective R2 values. However, variations in overall comfort are primarily explained by IAQ, which has the highest R2 value of 0.50, suggesting that IAQ accounts for 50% of the changes in overall occupant comfort. Non-Japanese participants had lower IEQ acceptance and a significantly higher number of complaints than Japanese participants more so in visual comfort where acceptable luminance levels were higher in Japan than other participants’ countries of origin. Thermal comfort was mutually highly accepted by both groups. Nose and eye irritation were significantly experienced by the international participants due to low RH levels but experiencing loss of concentration and lethargy was comparable in both groups (p > 0.05, t-test). We recommend global coherence in indoor environmental quality standards as is the case with drinking water standards for public health protection and seamless transitions in new indoor environments. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Air Quality Assessment and Management, 2nd Edition)
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18 pages, 644 KiB  
Article
Adaptive Degenerate Space-Based Method for Pollutant Source Term Estimation Using a Backward Lagrangian Stochastic Model
by Omri Buchman and Eyal Fattal
Environments 2025, 12(1), 18; https://doi.org/10.3390/environments12010018 - 10 Jan 2025
Viewed by 667
Abstract
A major challenge in accidental or unregulated releases is the ability to identify the pollutant source, especially if the location is in a large industrial area. Usually in such cases, only a few sensors provide non-zero signal. A crucial issue is therefore the [...] Read more.
A major challenge in accidental or unregulated releases is the ability to identify the pollutant source, especially if the location is in a large industrial area. Usually in such cases, only a few sensors provide non-zero signal. A crucial issue is therefore the ability to use a small number of sensors in order to identify the source location and rate of emission. The general problem of characterizing source parameters based on real-time sensors is known to be a difficult task. As with many inverse problems, one of the main obstacles for an accurate estimation is the non-uniqueness of the solution, induced by the lack of sufficient information. In this study, an efficient method is proposed that aims to provide a quantitative estimation of the source of hazardous gases or breathable aerosols. The proposed solution is composed of two parts. First, the physics of the atmospheric dispersion is utilized by a well-established Lagrangian stochastic model propagated backward in time. Then, a new algorithm is formulated for the prediction of the spacial expected uncertainty reduction gained by the optimal placement of an additional sensor. These two parts together are used to construct an adaptive decision support system for the dynamical deployment of detectors, allowing for an efficient characterization of the emitting source. This method has been tested for several scenarios and is shown to significantly reduce the uncertainty that stems from the insufficient information. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Air Quality Assessment and Management, 2nd Edition)
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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
Cited by 1 | Viewed by 1417
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
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Air Quality Assessment and Management, 2nd Edition)
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