The effects of meteorological factors on atmospheric bioaerosol concentrations—a review

Jones, Alan M.; Harrison, Roy M.

doi:10.1016/j.scitotenv.2003.11.021

Cited by 759 publications

(615 citation statements)

References 136 publications

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“…Owing to their ability to produce mycotoxins, certain species of mold, such as Aspergillus and Penicillium, could contribute to air pollution and present a serious health hazard to WWTS workers when these mycotoxins accumulate in the air (De Luca et al 2001;Li et al 2011). Especially in highly humid environments, fungal spores can be released into the air, which could cause infections or allergic reactions in humans (Jones and Harrison 2004;Tsai and Liu 2009). Investigations on the toxicological mechanism of fungal aerosols are necessary.…”

Section: Diversity and Richness Estimation Of Clone Librariesmentioning

confidence: 99%

Site-related and seasonal variation of bioaerosol emission in an indoor wastewater treatment station: level, characteristics of particle size, and microbial structure

Ding

Han

et al. 2015

Aerobiologia

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The emission of the airborne bacteria and fungi from an indoor wastewater treatment station adopting an integrated oxidation ditch with a vertical circle was investigated. Microbial samples were collected by the six-stage viable Andersen cascade impactor, and the samples were collected in triplicate in each sampling site per season. Culture-based method was applied to determine the concentrations of the airborne bacteria and fungi, while the cloning/ sequencing method was used to characterize the genetic structure and community diversity of airborne bacteria. The highest concentrations of airborne bacteria (4155 ± 550 CFU/m 3 ) and fungi (883 ± 150 CFU/m 3 ) were obtained in June (summer). The lowest concentration of bacteria (1458 ± 434 CFU/m 3 ) was determined in January (winter), and the lowest concentration of fungi (169 ± 40 CFU/m 3 ) was found in March (spring), respectively. The particle size distribution analysis showed that most culturable bacteria obtained in all the sampling sites were in the particle size range of 1.1-4.7 lm. Most culturable fungi had particle sizes in the range 1.1-3.3 lm. Microbial population analysis showed that Bacillus sp., Acinetobacter sp., and Lysinibacillus were the main groups obtained in S1.Enterobacter was the dominant group in sampling site S2. Both the concentrations and particle size distribution of the bioaerosols in the enclosed space presented a seasonal and site-related variation. Concentration and richness of microorganisms in bioaerosols in June were higher than in September and January. The particle size distribution varied between the sampling sites, and proportion of large particles was higher in S2 than in S1 because of the settlement of large particles. Pathogenic species, such as Acinetobacter lwoffii, Staphylococcus saprophyticus, and Enterobacter sp., were isolated from the bioaerosols, which could pose serious latent danger to sewage workers' health.

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Section: Diversity and Richness Estimation Of Clone Librariesmentioning

confidence: 99%

Site-related and seasonal variation of bioaerosol emission in an indoor wastewater treatment station: level, characteristics of particle size, and microbial structure

Ding

Han

et al. 2015

Aerobiologia

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“…For example, because different plant types harbor distinct bacterial communities on their leaf surfaces, (Redford et al, 2010) we would expect the types of bacteria transported from leaf surfaces to the atmosphere to depend on local vegetation characteristics. Likewise, land-use type may have indirect effects on airborne bacterial community composition due to shifts in meteorological conditions, as previous work has demonstrated that the abundance and composition of airborne bacteria can be affected by local changes in near-surface atmospheric conditions (Jones and Harrison, 2004).…”

Section: Introductionmentioning

confidence: 99%

Spatial variability in airborne bacterial communities across land-use types and their relationship to the bacterial communities of potential source environments

et al. 2010

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Although bacteria are ubiquitous in the near-surface atmosphere and they can have important effects on human health, airborne bacteria have received relatively little attention and their spatial dynamics remain poorly understood. Owing to differences in meteorological conditions and the potential sources of airborne bacteria, we would expect the atmosphere over different land-use types to harbor distinct bacterial communities. To test this hypothesis, we sampled the near-surface atmosphere above three distinct land-use types (agricultural fields, suburban areas and forests) across northern Colorado, USA, sampling five sites per land-use type. Microbial abundances were stable across land-use types, with B10 5 -10 6 bacterial cells per m 3 of air, but the concentrations of biological ice nuclei, determined using a droplet freezing assay, were on average two and eight times higher in samples from agricultural areas than in the other two land-use types. Likewise, the composition of the airborne bacterial communities, assessed via bar-coded pyrosequencing, was significantly related to land-use type and these differences were likely driven by shifts in the sources of bacteria to the atmosphere across the land-uses, not local meteorological conditions. A metaanalysis of previously published data shows that atmospheric bacterial communities differ from those in potential source environments (leaf surfaces and soils), and we demonstrate that we may be able to use this information to determine the relative inputs of bacteria from these source environments to the atmosphere. This work furthers our understanding of bacterial diversity in the atmosphere, the terrestrial controls on this diversity and potential approaches for source tracking of airborne bacteria.

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“…Pollen grains released to the air are dispersed and advected in the atmosphere due to spatial and temporal variations in meteorological conditions (Jones and Harrison 2004;Sousa et al 2008). Due to their shape and size, this transport can be also affected by the physical characteristics of the pollen grains (Seinfield and Pandis 2006).…”

Section: Introductionmentioning

confidence: 99%

Improvement in the accuracy of back trajectories using WRF to identify pollen sources in southern Iberian Peninsula

et al. 2014

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Airborne pollen transport at micro-, meso-gamma and meso-beta scales must be studied by atmospheric models, having special relevance in complex terrain. In these cases, the accuracy of these models is mainly determined by the spatial resolution of the underlying meteorological dataset. This work examines how meteorological datasets determine the results obtained from atmospheric transport models used to describe pollen transport in the atmosphere. We investigate the effect of the spatial resolution when computing backward trajectories with the HYSPLIT model. We have used meteorological datasets from the WRF model with 27, 9 and 3 km resolutions and from the GDAS files with 1°resolution. This work allows characterizing atmospheric transport of Olea pollen in a region with complex flows. The results show that the complex terrain affects the trajectories and this effect varies with the different meteorological datasets. Overall, the change from GDAS to WRF-ARW inputs improves the analyses with the HYSPLIT model, thereby increasing the understanding the pollen episode. The results indicate that a spatial resolution of at least 9 km is needed to simulate atmospheric flows that are considerable affected by the relief of the landscape. The results suggest that the appropriate meteorological files should be considered when atmospheric models are used to characterize the atmospheric transport of pollen on micro-, mesogamma and meso-beta scales. Furthermore, at these scales, the results are believed to be generally applicable for related areas such as the description of atmospheric transport of radionuclides or in the definition of nuclear-radioactivity emergency preparedness.

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The effects of meteorological factors on atmospheric bioaerosol concentrations—a review

Cited by 759 publications

References 136 publications

Site-related and seasonal variation of bioaerosol emission in an indoor wastewater treatment station: level, characteristics of particle size, and microbial structure

Site-related and seasonal variation of bioaerosol emission in an indoor wastewater treatment station: level, characteristics of particle size, and microbial structure

Spatial variability in airborne bacterial communities across land-use types and their relationship to the bacterial communities of potential source environments

Improvement in the accuracy of back trajectories using WRF to identify pollen sources in southern Iberian Peninsula

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