Influence of atmospheric ozone, PM10 and meteorological factors on the concentration of airborne pollen and fungal spores

Sousa, Sofia; Martins, F.G.; Pereira, Maria do Carmo; Alvim-Ferraz, M.C.M.; Ribeiro, Helena; Oliveira, Manuela; Abreu, Ilda

doi:10.1016/j.atmosenv.2008.06.004

Cited by 77 publications

(54 citation statements)

References 36 publications

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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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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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“…5). The increase of Penicillium, Bullera, and Geosmithia in winter is ascribed to their sensitivity to low temperature (Sousa et al, 2008;Abdel Hameed et al, 2012). The results based on Spearman's rank correlation test analysis support this notion (Fig.…”

Section: Size Distribution and Seasonal Variation Of Fungal Communitiesmentioning

confidence: 99%

Fungi diversity in PM<sub>2. 5</sub> and PM<sub>1</sub> at the summit of Mt. Tai: abundance, size distribution, and seasonal variation

Wei

Chen

et al. 2017

Atmos. Chem. Phys.

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Abstract. Fungi are ubiquitous throughout the near-surface atmosphere, where they represent an important component of primary biological aerosol particles. This study combined internal transcribed spacer region sequencing and quantitative real-time polymerase chain reaction (qPCR) to investigate the ambient fungi in fine (PM 2.5 , 50 % cutoff aerodynamic diameter D a50 = 2.5 µm, geometric standard deviation of collection efficiency σ g = 1.2) and submicron (PM 1 , D a50 = 1 µm, σ g = 1.2) particles at the summit of Mt. Tai located in the North China Plain, China. Fungal abundance values were 9.4 × 10 4 and 1.3 × 10 5 copies m −3 in PM 2.5 and PM 1 , respectively. Most of the fungal sequences were from Ascomycota and Basidiomycota, which are known to actively discharge spores into the atmosphere. The fungal community showed a significant seasonal shift across different size fractions according to Metastats analysis and the Kruskal-Wallis rank sum test. The abundance of Glomerella and Zasmidium increased in larger particles in autumn, whereas Penicillium, Bullera, and Phaeosphaeria increased in smaller particles in winter. Environmental factors, namely Ca 2+ , humidity, and temperature, were found to be crucial for the seasonal variation in the fungal community. This study might serve as an important reference for fungal contribution to primary biological aerosol particles.

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“…Biological and non-biological contaminants are together associated with the increase of allergenic symptoms, recurrent visit to emergency room and hospitalization period or even motility. Several studies have examined the potential consequences of nonbiological pollutants, physical components of the environment and meteorological parameters on the dynamics and concentrations of airborne fungal spores (Al-Subai, 2002;Sousa et al, 2008;Abu-Dieyeh et al, 2010;Hameed et al, 2012;Abu-Dieyeh & Barham, 2014).…”

Section: Factors Affecting Availability and Survivability Of Airbornementioning

confidence: 99%

Dynamics (seasonal and intra-diurnal) of air-borne fungal spore population of Doha area, Qatar

Fayad

2016

Qatar University Life Science Symposium 2016: Biodiversity, Sustainability and Climate Change, With Perspectives From Qatar

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Influence of atmospheric ozone, PM10 and meteorological factors on the concentration of airborne pollen and fungal spores

Cited by 77 publications

References 36 publications

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

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

Fungi diversity in PM<sub>2. 5</sub> and PM<sub>1</sub> at the summit of Mt. Tai: abundance, size distribution, and seasonal variation

Dynamics (seasonal and intra-diurnal) of air-borne fungal spore population of Doha area, Qatar

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Influence of atmospheric ozone, PM10 and meteorological factors on the concentration of airborne pollen and fungal spores

Cited by 77 publications

References 36 publications

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

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

Fungi diversity in PM&lt;sub&gt;2. 5&lt;/sub&gt; and PM&lt;sub&gt;1&lt;/sub&gt; at the summit of Mt. Tai: abundance, size distribution, and seasonal variation

Dynamics (seasonal and intra-diurnal) of air-borne fungal spore population of Doha area, Qatar

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Fungi diversity in PM<sub>2. 5</sub> and PM<sub>1</sub> at the summit of Mt. Tai: abundance, size distribution, and seasonal variation