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Atmosphere
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Aerosols in Residential, School, and Vehicle Environments
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Aerosols in Residential, School, and Vehicle Environments

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

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 6901

Special Issue Editors

Dr. Enze Tian

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Guest Editor
Songshan Lake Materials Laboratory, Institute of Physics, Chinese Academy of Sciences, Dongguan 523808, China
Interests: indoor air quality; air filtration; airborne pollutant sensors; electro-active materials; 2D materials
Prof. Dr. Alireza Afshari

E-Mail Website
Guest Editor
Department of the Built Environment, Aalborg University, 2450 København, Denmark
Interests: construction; indoor climate; ventilation; particles; demand controlled ventilation
Special Issues, Collections and Topics in MDPI journals
Dr. Jinhan Mo

E-Mail Website
Guest Editor
Department of Building Science, Tsinghua University, Beijing 100084, China
Interests: interfacial transportation; separation; indoor air quality; adsorption; catalytic; filtration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Aerosols or airborne particulate matters (PM), including airborne bacteria, pose a serious health threat to the population. With increasing air pollution caused by industry, transportation, and wildfires, as well as occasional outbreaks of respiratory infectious diseases such as SARS and COVID-19, aerosols have become increasingly important for a living environment. Since people are spending most of their time indoors, aerosols in built environments are paramount, especially for residential, school, and vehicle environments, where the aerosol composition and interaction are complex and the air change rate is likely to be insufficient. Taking the residential environment as an example, aerosols may come from the outdoor environment, and be generated indoors by human activities such as cooking, burning, talking, and coughing. Besides the health effect of the aerosols, methods for reducing aerosol concentrations have been proposed, including ventilation, mechanical filtration, electrostatic assistant filtration, and electrostatic precipitation. Furthermore, many aerosol-detecting methods have been applied to create a healthy living environment.

The purpose of this Special Issue is to collect research data 1) to clarify the profiles of aerosols in residential, school and vehicle environments; 2) to identify the improvements and limitations of applying multiple aerosol purification and detection methods in these environments. Both experimental and modeling studies are welcome. We seek a comprehensive set of studies that solicit up-to-date research from the above aspects. Potential topics include (but are not limited to):

  • Reviews of aerosol studies for residential/school/vehicle environments, including monitoring methods, emission profiles, physical-chemical-optical properties, and health impacts.
  • Field characterization of aerosols and relevant properties in residential/school/vehicle environments, with or without improving methods.
  • The relationship between indoor and outdoor aerosols for residential/school/vehicle environments.
  • Laboratory/field/modelling studies on the aerosol purification/detection methods for residential/school/vehicle environments.
  • Modeling studies that address the air quality and health impacts of aerosols in residential/school/vehicle environments.

Dr. Enze Tian
Prof. Dr. Alireza Afshari
Dr. Jinhan Mo
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. 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 2400 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

  • residential buildings
  • school
  • vehicles
  • subway
  • aircrafts
  • ventilation
  • air cleaning
  • detectors or sensors
  • particulate matters
  • indoor air quality
  • COVID-19
  • infection
  • bacteria
  • microbe

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Published Papers (3 papers)

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18 pages, 4818 KiB  
Article
Influencing Factors of Particulate Matter Concentration in the Metro Carriage and the Corresponding Inhalation Intake Estimation: A Field Measurement in Chengdu
by Shenghao Huang, Han Wang, Dan Wu, Rongjiang Ma, Liangliang Sun and Mengsi Deng
Atmosphere 2022, 13(11), 1821; https://doi.org/10.3390/atmos13111821 - 2 Nov 2022
Cited by 6 | Viewed by 1600
Abstract
Urbanization promotes the development of the subway system, and the particulate matter (PM) concentrations inside have received increasing attention. This study first measured the dynamic PM2.5 and PM10 concentrations in a metro carriage in Chengdu and explored the dominant influencing factors. [...] Read more.
Urbanization promotes the development of the subway system, and the particulate matter (PM) concentrations inside have received increasing attention. This study first measured the dynamic PM2.5 and PM10 concentrations in a metro carriage in Chengdu and explored the dominant influencing factors. The personal inhalation intakes of different routes were evaluated. The results showed that the in-carriage PM2.5 and PM10 concentrations ranged from 11 to 74 μg/m3 (mean: 36.7 μg/m3) and 13 to 89 μg/m3 (mean: 40.1 μg/m3), respectively. When the train passed from the overground to underground, the in-carriage PM2.5 and PM10 concentrations increased by 30.4% and 32.9%, respectively. No specific linear relationship between passenger number and in-carriage PM concentrations was found. In-carriage PM concentrations decreased after the carriage doors were opened on the platforms. PM2.5 inhalation intakes ranged from 1.08 to 9.52, with a mean of 4.24 µg. For the passengers with the same age and sex, the average inhaled PM2.5 intake in the metro carriage on the route with more underground platforms was higher. This study not only revealed the PM characteristics in the Chengdu metro system for the first time, but also provided guidelines for reducing the in-carriage PM concentrations to build a healthier travel environment. Full article
(This article belongs to the Special Issue Aerosols in Residential, School, and Vehicle Environments)
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21 pages, 8229 KiB  
Article
A Quantizing Method for Atmospheric Environment Impact Post-Assessment of Highways Based on Computational Fluid Dynamics Model
by Xiaochun Qin, Dongxiao Yang, Shu Liu, Xiaoqing Yu and Vicky Wangechi Wangari
Atmosphere 2022, 13(9), 1503; https://doi.org/10.3390/atmos13091503 - 15 Sep 2022
Cited by 1 | Viewed by 2183
Abstract
The post-assessment of highway atmospheric environmental impacts was limited by the traditional air pollution prediction model, which cannot adapt to complex terrain and complex obstacle scenes. The traditional model has a single evaluation index, which cannot accurately evaluate and predict the transient and [...] Read more.
The post-assessment of highway atmospheric environmental impacts was limited by the traditional air pollution prediction model, which cannot adapt to complex terrain and complex obstacle scenes. The traditional model has a single evaluation index, which cannot accurately evaluate and predict the transient and long-term emissions of various pollutants. Based on the computational fluid dynamics model, this work establishes a post-assessment method of the atmospheric environment impact of the Beijing–Chengde Expressway construction project. The main pollution factors NOx and CO of highway traffic for transmission and diffusion simulation analysis were selected. The influence law of traffic function, environmental impact, meteorological conditions, and landform on the diffusion of pollution factors in complex tunnel sections were analyzed. It concludes that the pollution within 200 m along the expressway is severe and mainly concentrated in the tunnel entrance and gully area. The NOx concentration is generally higher than CO. The environmental quality is not up to standard and has a diffusion trend with increased traffic flow, operation time, wind speed, wind temperature, and wind direction frequency. The research results can provide theoretical guidance and technical support for the scientific post-assessment of highway environmental impact under complex conditions. Full article
(This article belongs to the Special Issue Aerosols in Residential, School, and Vehicle Environments)
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22 pages, 1065 KiB  
Article
Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air Quality
by Ka-Ui Chu and Yao-Hua Ho
Atmosphere 2022, 13(9), 1375; https://doi.org/10.3390/atmos13091375 - 27 Aug 2022
Cited by 2 | Viewed by 2155
Abstract
Air pollution is a severe problem for the global environment. Most people spend 80% to 90% of the day indoors; therefore, indoor air pollution is as important as outdoor air pollution. The problem is more severe on school campuses. There are several ways [...] Read more.
Air pollution is a severe problem for the global environment. Most people spend 80% to 90% of the day indoors; therefore, indoor air pollution is as important as outdoor air pollution. The problem is more severe on school campuses. There are several ways to improve indoor air quality, such as air cleaners or ventilation. Air-quality sensors can be used to detect indoor air quality in real time to turn on air cleaner or ventilation. With an efficient and accurate clustering technique for indoor air-quality data, different ventilation strategies can be applied to achieve a better ventilation policy with accurate prediction results to improve indoor air quality. This study aims to cluster the indoor air quality data (i.e., CO2 level) collected from the school campus in Taiwan without other external information, such as geographical location or field usage. In this paper, we propose the Max Fast Fourier Transform (maxFFT) Clustering Approach to classify indoor air quality to improve the efficiency of the clustering and extract the required feature. The results show that without using geographical information or field usage, the clustering results can correctly reflect the ventilation condition of the space with low computation time. Full article
(This article belongs to the Special Issue Aerosols in Residential, School, and Vehicle Environments)
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