Bioaerosols in the atmosphere : A comprehensive review on detection methods, concentration and influencing factors

Copyright © 2023 Elsevier B.V. All rights reserved..

In the past few decades, especially since the outbreak of the coronavirus disease (COVID-19), the effects of atmospheric bioaerosols on human health, the environment, and climate have received great attention. To evaluate the impacts of bioaerosols quantitatively, it is crucial to determine the types of bioaerosols in the atmosphere and their spatial-temporal distribution. We provide a concise summary of the online and offline observation strategies employed by the global research community to sample and analyze atmospheric bioaerosols. In addition, the quantitative distribution of bioaerosols is described by considering the atmospheric bioaerosols concentrations at various time scales (daily and seasonal changes, for example), under various weather, and different underlying surfaces. Finally, a comprehensive summary of the reasons for the spatiotemporal distribution of bioaerosols is discussed, including differences in emission sources, the impact process of meteorological factors and environmental factors. This review of information on the latest research progress contributes to the emergence of further observation strategies that determine the quantitative dynamics of public health and ecological effects of bioaerosols.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:912

Enthalten in:

The Science of the total environment - 912(2024) vom: 20. Jan., Seite 168818

Sprache:

Englisch

Beteiligte Personen:

Huang, Zhongwei [VerfasserIn]
Yu, Xinrong [VerfasserIn]
Liu, Qiantao [VerfasserIn]
Maki, Teruya [VerfasserIn]
Alam, Khan [VerfasserIn]
Wang, Yongkai [VerfasserIn]
Xue, Fanli [VerfasserIn]
Tang, Shihan [VerfasserIn]
Du, Pengyue [VerfasserIn]
Dong, Qing [VerfasserIn]
Wang, Danfeng [VerfasserIn]
Huang, Jianping [VerfasserIn]

Links:

Volltext

Themen:

Aerosols
Air Pollutants
Bioaerosols
Detection technology
Influencing mechanism
Journal Article
Review
Sources
Spatiotemporal variation

Anmerkungen:

Date Completed 18.01.2024

Date Revised 18.01.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.scitotenv.2023.168818

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365272531