Mode resolved density of atmospheric aerosol particles

Kannosto, Jonna; Virtanen, Annele; Lemmetty, Mikko; Mäkelä, Jyrki M.; Keskinen, Jorma; Junninen, Heikki; Hussein, Tareq; Aalto, Pasi; Kulmala, Markku

doi:10.5194/acp-8-5327-2008

Cited by 61 publications

(44 citation statements)

References 51 publications

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“…The particle bounce data can be used to constrain the density of sub-30 nm diameter particles, for which little experimental data is available (Kannosto et al, 2008). In Fig.…”

Section: Resultsmentioning

confidence: 99%

Bounce behavior of freshly nucleated biogenic secondary organic aerosol particles

et al. 2011

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Abstract. The assessment of the climatic impacts and adverse health effects of atmospheric aerosol particles requires detailed information on particle properties. However, very limited information is available on the morphology and phase state of secondary organic aerosol (SOA) particles. The physical state of particles greatly affects particulatephase chemical reactions, and thus the growth rates of newly formed atmospheric aerosol. Thus verifying the physical phase state of SOA particles gives new and important insight into their formation, subsequent growth, and consequently potential atmospheric impacts. According to our recent study, biogenic SOA particles produced in laboratory chambers from the oxidation of real plant emissions as well as in ambient boreal forest atmospheres can exist in a solid phase in size range >30 nm. In this paper, we extend previously published results to diameters in the range of 17-30 nm. The physical phase of the particles is studied by investigating particle bounce properties utilizing electrical low pressure impactor (ELPI). We also investigate the effect of estimates of particle density on the interpretation of our bounce observations. According to the results presented in this paper, particle bounce clearly decreases with decreasing particle size in sub 30 nm size range. The comparison measurements by ammonium sulphate and investigation of the particle impaction velocities strongly suggest that the deCorrespondence to: A. Virtanen (annele.virtanen@tut.fi) creasing bounce is caused by the differences in composition and phase of large (diameters greater than 30 nm) and smaller (diameters between 17 and 30 nm) particles.

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“…The particle bounce data can be used to constrain the density of sub-30 nm diameter particles, for which little experimental data is available (Kannosto et al, 2008). In Fig.…”

Section: Resultsmentioning

confidence: 99%

Bounce behavior of freshly nucleated biogenic secondary organic aerosol particles

et al. 2011

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“…Probably the organic component acts as to lower the density of the particles, but likely not down to 1.15 g cm −3 . Previous measurements at remote location (Saarikoski et al, 2005;Kannosto et al, 2008) and an urban location (Hu et al, 2012) estimate the density of sub-micrometer atmospheric particles to approximately 1.5 g cm −3 . The apparent density of 1.15 g cm −3 from this study is 30 % lower, thus calling for a discussion of the patterns behind this apparent density.…”

Section: Apparent Particle Densitymentioning

confidence: 97%

Comparison between CARIBIC Aerosol Samples Analysed by Accelerator-Based Methods and Optical Particle Counter Measurements

et al. 2014

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Abstract. Inter-comparison of results from two kinds of aerosol systems in the CARIBIC (Civil Aircraft for the Regular Investigation of the atmosphere Based on a Instrument Container) passenger aircraft based observatory, operating during intercontinental flights at 9-12 km altitude, is presented. Aerosol from the lowermost stratosphere (LMS), the extra-tropical upper troposphere (UT) and the tropical mid troposphere (MT) were investigated. Aerosol particle volume concentration measured with an optical particle counter (OPC) is compared with analytical results of the sum of masses of all major and several minor constituents from aerosol samples collected with an impactor. Analyses were undertaken with the following accelerator-based methods: particle-induced X-ray emission (PIXE) and particle elastic scattering analysis (PESA). Data from 48 flights during 1 year are used, leading to a total of 106 individual comparisons. The ratios of the particle volume from the OPC and the total mass from the analyses were in 84 % within a relatively narrow interval. Data points outside this interval are connected with inlet-related effects in clouds, large variability in aerosol composition, particle size distribution effects and some cases of non-ideal sampling. Overall, the comparison of these two CARIBIC measurements based on vastly different methods show good agreement, implying that the chemical and size information can be combined in studies of the MT/UT/LMS aerosol.

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“…Then, we calculated the GR of the particles due to SA condensation by using the SA proxy concentration. The same method was used for GR due to OxOrg condensation, where the vapor density was assumed to be 1200 kg m −3 (Hallquist et al, 2009;Kannosto et al, 2008). Similarly, the GR due to OxOrg was calculated by using OxOrg proxy concentrations divided by the concentration needed for 1 nm h −1 GR.…”

Section: Particle Formation Ratesmentioning

confidence: 99%

Long-term analysis of clear-sky new particle formation events and nonevents in Hyytiälä

et al. 2017

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Abstract. New particle formation (NPF) events have been observed all around the world and are known to be a major source of atmospheric aerosol particles. Here we combine 20 years of observations in a boreal forest at the SMEAR II station (Station for Measuring Ecosystem-Atmosphere Relations) in Hyytiälä, Finland, by building on previously accumulated knowledge and by focusing on clear-sky (noncloudy) conditions. We first investigated the effect of cloudiness on NPF and then compared the NPF event and nonevent days during clear-sky conditions. In this comparison we considered, for example, the effects of calculated particle formation rates, condensation sink, trace gas concentrations and various meteorological quantities in discriminating NPF events from nonevents. The formation rate of 1.5 nm particles was calculated by using proxies for gaseous sulfuric acid and oxidized products of low volatile organic compounds, together with an empirical nucleation rate coefficient. As expected, our results indicate an increase in the frequency of NPF events under clear-sky conditions in comparison to cloudy ones. Also, focusing on clear-sky conditions enabled us to find a clear separation of many variables related to NPF. For instance, oxidized organic vapors showed a higher concentration during the clear-sky NPF event days, whereas the condensation sink (CS) and some trace gases had higher concentrations during the nonevent days. The calculated formation rate of 3 nm particles showed a notable difference between the NPF event and nonevent days during clear-sky conditions, especially in winter and spring. For springtime, we are able to find a threshold equation for the combined values of ambient temperature and CS, (CS (s −1 ) > −3.091 × 10 −5 × T (in Kelvin) + 0.0120), above which practically no clear-sky NPF event could be observed. Finally, we present a probability distribution for the frequency of NPF events at a specific CS and temperature.

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Mode resolved density of atmospheric aerosol particles

Cited by 61 publications

References 51 publications

Bounce behavior of freshly nucleated biogenic secondary organic aerosol particles

Bounce behavior of freshly nucleated biogenic secondary organic aerosol particles

Comparison between CARIBIC Aerosol Samples Analysed by Accelerator-Based Methods and Optical Particle Counter Measurements

Long-term analysis of clear-sky new particle formation events and nonevents in Hyytiälä

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