Real-Time Detection, Discrimination, and Forecasting of Bioaerosols

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 172

Special Issue Editors


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Guest Editor
Centre for Atmospheric Science, Department of Earth & Environmental Sciences, University of Manchester, Manchester M13 9PL, UK
Interests: aerosol and cloud particle detection systems; cloud microphysics; cloud-aerosol interactions; biometeorology; surface atmosphere exchange; micrometeorology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
National Centre for Atmospheric Science (NCAS), Department of Earth & Environmental Sciences, University of Manchester, Manchester M13 9PL, UK
Interests: AI data-driven environmental models; air pollution; bioaerosols; environmental health

Special Issue Information

Dear Colleagues,

Biological aerosol, known as bioaerosol, is poorly constrained but has direct and indirect impacts on air quality, climate, and human health. Detecting and characterizing outdoor and indoor bioaerosol is critical as such knowledge is an essential prerequisite for policy interventions. Bioaerosols normally comprise viruses, bacteria, fungi, and pollen. Historically, offline techniques have been utilized to detect different types of bioaerosols and characterize their physical and chemical properties, as well as their environmental toxicity. Knowledge from integrated filter samples sometimes hinders our deep understanding of the release mechanisms of bioaerosols, which is the key for bioaerosol forecasting. With recent advances in fluorescence spectrometers, the detection, discrimination, and forecasting of different bioaerosols in real-time become possible.

In this Special Issue of Atmosphere, entitled “Real-Time Detection, Discrimination, and Forecasting of Bioaerosols”, we call for novel papers addressing the detection, discrimination, and forecasting of bioaerosols in real-time. The aim is to introduce recent advances in bioaerosol-related measurement science and data science. These studies include, but are not limited to, field measurement reports, exploring environmental drivers of release mechanisms of bioaerosols, health impacts and interventions of bioaerosols, and data analytics in bioaerosol science.

Prof. Dr. Martin Gallagher
Dr. Congbo Song
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

  • bioaerosol
  • climate
  • health
  • clustering
  • forecasting
  • modeling
  • intervention

Published Papers

This special issue is now open for submission.
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