Approximated solution on the properties of the scavenging gap during precipitation using harmonic mean method

Jung, Chang Hoon; Bae, Sung‐Heui; Kim, Yong P.

doi:10.1016/j.atmosres.2010.11.023

Cited by 11 publications

(17 citation statements)

References 27 publications

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“…The critical diameter (i.e. the diameter at which impaction is Depuydt (2012) 123.6649 0.48 dominant) is larger than the minimum collection efficiency diameter (Jung et al, 2011), and the impaction mechanism is neglected in this study. Fig.…”

Section: Resultsmentioning

confidence: 99%

“…It has been shown that the critical diameter is more than several microns in diameter, which means the impaction mechanism does not influence the determination of the minimum collection efficiency diameter (Jung et al, 2011). This means that only diffusion and interception need to be considered to obtain the minimum-collection-efficiency particle diameter.…”

Section: Minimum Collection Efficiency Diametermentioning

confidence: 99%

“…(2) and (3), the scavenging coefficient is given as follows (Jung et al, 2011): If the drop size distribution is log-normal, the polydisperse drop size distribution can be expressed as a moment formula (Jung et al, 2002):…”

Section: Minimum Collection Efficiency Diametermentioning

confidence: 99%

“…The concept of most penetrating particle size can also be used for granular media filtration processes as critical suspended particle size in water (Qi, 1998;Jung and Lee, 2006). Jung et al (2011) obtained the approximate analytical solution for the scavenging gap particle size during precipitation. However, the parameters of the raindrop size distribution used in Jung et al (2011) were not sensitive to the change of rain type or rain intensity, which had limits with regard to its practical application.…”

Section: Introductionmentioning

confidence: 99%

“…Jung et al (2011) obtained the approximate analytical solution for the scavenging gap particle size during precipitation. However, the parameters of the raindrop size distribution used in Jung et al (2011) were not sensitive to the change of rain type or rain intensity, which had limits with regard to its practical application. In general, precipitation is characterized based on measurements of the rain intensity, because it is difficult to measure raindrop size distribution.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Minimum Collection Efficiency Particle Diameter during Precipitation as a Function of Rain Intensity

Jung

Lee

Bae

et al. 2013

Aerosol Air Qual. Res.

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This study found that the minimum collection efficiency particle diameter during precipitation is a function of rain intensity. The raindrop size distribution was parameterized with a log normal size distribution as a function of rain intensity, and the minimum collection efficiency and minimum collection efficiency diameter were obtained analytically.The results show that, during precipitation, both the minimum scavenging coefficient diameter and the minimum scavenging coefficient increase along with rain intensity. A comparison of the minimum collection efficiency diameters for various falling velocities reveals that there is not much of a difference in the diameters.Both the numerical and analytical results of this study agree well, without much loss of accuracy.

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Section: Resultsmentioning

confidence: 99%

Section: Minimum Collection Efficiency Diametermentioning

confidence: 99%

Section: Minimum Collection Efficiency Diametermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Minimum Collection Efficiency Particle Diameter during Precipitation as a Function of Rain Intensity

Jung

Lee

Bae

et al. 2013

Aerosol Air Qual. Res.

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Spatiotemporal patterns of microbial composition and diversity in precipitation

Aho

Weber

Christner

et al. 2019

Ecological Monographs

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Microbes in the atmosphere have broad ecological impacts, including the potential to trigger precipitation through species and strains that act as ice nucleation particles. To characterize spatiotemporal trends of microbial assemblages in precipitation we sequenced 16S (bacterial) and 18S (fungal) rRNA gene amplicon libraries collected from 72 precipitation events in three U.S. states (Idaho, Louisiana, and Virginia) over four seasons. We considered these data from the perspective of a novel metacommunity framework. In agreement with our heuristic, we found evidence for distinct mechanisms underlying the composition and diversity of bacterial and fungal assemblages in precipitation. Specifically, we determined that (1) bacterial operational taxonomic unit (OTU) composition of precipitation was strongly associated with macroscale drivers including season and high-altitude characteristics of storms; (2) fungal OTU composition was strongly correlated with mesoscale drivers including particular spatial locations; (3) b-diversity (heterogeneity of taxa among samples) for both bacteria and fungi was largely maintained by turnover of taxa; however, (4) bacterial assemblages had higher contributions to total b-diversity from nestedness (i.e., lower richness assemblages were largely taxonomic subsets of richer assemblages), due to losses of taxa during dispersal, particularly among potential ice nucleation active bacteria; and (5) fungal assemblages had higher contributions to total b-diversity from turnover due to OTU replacement. Spatiotemporal trends in precipitation-borne metacommunities allowed delineation of a large number of statistically significant indicator taxa for particular sites and seasons, including trends for bacteria that are potentially ice nucleation active. Our findings advance understanding regarding the dispersion of aerosolized microbes via wet deposition, and the development of theory concerning potential assembly rules for bioaerosol assemblages.

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Observed changes in aerosol physical and optical properties before and after precipitation events

Dong

et al. 2016

Adv. Atmos. Sci.

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Approximated solution on the properties of the scavenging gap during precipitation using harmonic mean method

Cited by 11 publications

References 27 publications

Minimum Collection Efficiency Particle Diameter during Precipitation as a Function of Rain Intensity

Minimum Collection Efficiency Particle Diameter during Precipitation as a Function of Rain Intensity

Spatiotemporal patterns of microbial composition and diversity in precipitation

Observed changes in aerosol physical and optical properties before and after precipitation events

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