Human-Generated Aerosols (HGA) in a Partially Ventilated Environment

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

Deadline for manuscript submissions: closed (20 May 2021) | Viewed by 6575

Special Issue Editor


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Guest Editor
1. Department of Environmental, Water and Agricultural Engineering, Faculty of Civil & Environmental Engineering, Technion—Israel Institute of Technology 616, Rabin Hall, Haifa 32000, Israel
2. Environmental Science division, Israel Institute for Biological Research, 24 Lerer St., Ness Ziona 74100, Israel
Interests: environmental sensing; algorithm development; multiobjective optimization; optical spectroscopy; machine and deep learning; precision agriculture; source-term estimation
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Special Issue Information

Dear Colleagues,

The outbreak of the COVID-19 virus has had—and continues to have—a devastating effect on human health. Humans must adjust their behavior to minimize the risk of infection, especially in a highly vulnerable population.

Such adjustments restrict human interactions (“social distancing”), resulting in adverse effects on both the economy and society; hence, effective long-term enforcement is challenging. Increasing population compliance can only be achieved by adopting an evidence-based policy regarding the generation and transport of the HGA in the atmosphere.

This Special Issue is focused on sensing of HGA in various environments as the basis for developing models to account for their generation, fate, and transport through the atmosphere. Of special interest are partially ventilated areas such as streets and yards, which are used these days as alternative locations for human gathering and social activities.

We will welcome papers dealing with the research and development of sensor technology or improving their performance using sophisticated data fusion and machine and deep learning approaches for:

(a) Source and aerosol characterization;

(b) Transport through partially ventilated areas;

(c) HGA fate in the atmosphere;

(d) Using sensor data to model HGA transport through the atmosphere.

Prof. Dr. Shai Kendler
Guest Editor

Manuscript Submission Information

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Keywords

  • Sensing
  • COVID-19
  • Human-generated aerosol
  • Mass transport modeling
  • Data fusion
  • Machine learning
  • Deep learning

Published Papers (1 paper)

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15 pages, 13375 KiB  
Article
The Challenge of Indoor Air Quality Management: A Case Study in the Hospitality Industry at the Time of the Pandemic
by Sara Zanni, Gabriella Motta, Matteo Mura, Mariolina Longo and Davide Caiulo
Atmosphere 2021, 12(7), 880; https://doi.org/10.3390/atmos12070880 - 7 Jul 2021
Cited by 7 | Viewed by 5869
Abstract
Air quality management represents a reason for concern in indoor environments, especially now that the COVID-19 pandemic has shown how microbial aerosols pose a threat to human health, requiring proper monitoring. This is particularly true in public and working environments, where the turnover [...] Read more.
Air quality management represents a reason for concern in indoor environments, especially now that the COVID-19 pandemic has shown how microbial aerosols pose a threat to human health, requiring proper monitoring. This is particularly true in public and working environments, where the turnover of occupants is high. The hospitality sector, in particular, has been severely affected by limitations related to emergency containment, and it needs to redefine its operations in the perspective of a “new normal” in the post-COVID-19 era. Considering the necessity to provide consistent information about indoor air quality, promote adequate management and increase safety, we developed a case study in cooperation with a major hotel in Turin. A sensing network has been implemented based on corporate-grade monitoring devices, compliant with the RESET standards, recently proposed and applied here to the hospitality sector for the first time. The network is able to detect the concentration of gaseous contaminants and fine particulate matter in semi-continuous mode. The study involved areas of the hotel with different purposes, such as guestrooms, hall, kitchen, restaurant and fitness center. Several valuable insights emerged in support of air quality management and pathways for future research can be outlined, based on the innovative dataset developed. Full article
(This article belongs to the Special Issue Human-Generated Aerosols (HGA) in a Partially Ventilated Environment)
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