Loading-dependent elemental composition of α-pinene SOA particles

Shilling, John E.; Chen, Qi; King, S. M.; Rosenoern, T.; Kroll, J. H.; Worsnop, Douglas R.; DeCarlo, P. F.; Aiken, A. C.; Sueper, D.; Jimenez, José L.; Martin, Scot T.

doi:10.5194/acp-9-771-2009

Cited by 284 publications

(395 citation statements)

References 57 publications

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“…This effective density value closely matches that determined previously from Bahreini et al (2005), Zelenyuk et al (2008), andShilling et al (2008) concentrations were approximately an order or magnitude lower than that reported here and used seed particles, while the experiments of Shilling et al had initial hydrocarbon concentrations even lower. In addition to these differences, the experiments of Shilling et al contained dry ammonium sulfate seed particles and a relative humidity of 40%.…”

Section: ␣-Pinene-ozone Soa Densitysupporting

confidence: 71%

“…More recently, density is reported using particle time of flight (PTOF)-SMPS and APM-SMPS comparisons (Jimenez et al 2003;Kostenidou et al 2007;McMurry et al 2002;Song et al 2007). Furthermore, recent work by Shilling et al has shown aerosol vacuum effective densities from α-pinene ozonolysis are a function of the mass loading (Shilling et al 2008). The relationship between mass loading and aerosol density is thought to arise from the relative contribution of highly oxygenated species to the total aerosol mass.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Aerosol Density Determination Utilizing a Modified Scanning Mobility Particle Sizer—Aerosol Particle Mass Analyzer System

Malloy¹,

Nakao²,

Li³

et al. 2009

Aerosol Science and Technology

119

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Real time secondary organic aerosol (SOA) density evolution for m-xylene photo-oxidation and α-pinene ozonolysis was obtained using an Aerosol Particle Mass Analyzer (APM)/Scanning Mobility Particle Spectrometer (SMPS) setup, which has been modified to achieve higher transmission of particles and improved sampling frequency. The aerosol density of SOA generated from α-pinene ozonolysis was found to be 1.24 ± 0.03 g/cm 3 while the aerosol generated from m-xylene photo-oxidation was determined to be 1.35 ± 0.03 g/cm 3 . These results confirm the measurement approach from a combined SMPS and Aerodyne Aerosol Mass Spectrometer (AMS) system and are found to be within good agreement with the effective density measurements.

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Section: ␣-Pinene-ozone Soa Densitysupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Real-Time Aerosol Density Determination Utilizing a Modified Scanning Mobility Particle Sizer—Aerosol Particle Mass Analyzer System

Malloy¹,

Nakao²,

Li³

et al. 2009

Aerosol Science and Technology

119

View full text Add to dashboard Cite

show abstract

“…The chemical compositions of the SOAs generated during ozonolysis and photooxidation should be somewhat different from each other, according to the literature (Jang and Kamens 1999;Iinuma et al 2004Iinuma et al , 2005Ma et al 2008;Shilling et al 2009;Noziere et al 1999;Ng et al 2007;Claeys et al 2009;Eddingsaas et al 2012). In the present study, a non-negligible value of nitrate to organic (HRNO 3 /HROrg) ratio, which was calculated from the H-ToF-AMS data, and slightly larger O/C and H/C ratios were observed for the SOAs generated by photooxidation (Table 1) compared to those for the SOAs generated by ozonolysis.…”

Section: Resultsmentioning

confidence: 99%

Wavelength Dependence of Refractive Index of Secondary Organic Aerosols Generated during the Ozonolysis and Photooxidation of α-Pinene

Nakayama

Sato

Matsumi

et al. 2012

SOLA

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Atmospheric aerosol particles play an important role in climate change by scattering and absorbing solar radiation. To quantify the direct influence of aerosols on the atmospheric radiation balance, a detailed understanding of the complex refractive index (RI) for a variety of aerosols is required. The wavelength dependence of the RI values for secondary organic aerosols (SOAs) generated during the ozonolysis and photooxidation of α-pinene, which is a major biogenic volatile organic compound (BVOC), was investigated using a photoacoustic soot spectrometer (PASS) and a cavity ring-down spectrometer (CRDS). The real part of the RI values for SOAs generated from both ozonolysis and photooxidation was found to lie between 1.4 and 1.5 at 405, 532, and 781 nm, and to slightly increase with decreasing wavelength. Additionally, the imaginary part of the RI values for these SOAs was found to be negligible (< 0.003) at all of the wavelengths studied (405, 532, and 781 nm). The obtained complex RI values were also compared with values reported in the literature and the chemical properties of the SOAs, which were measured using a high resolution time-of-flight aerosol mass spectrometer (H-ToF-AMS).

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“…Considerable variability is observed in the yield of SOA generated by BVOC oxidation (e.g. Yu et al, 1999a;Kroll et al, 2006;Shilling et al, 2009). …”

Section: Gas-phase Emissions and Chemistrymentioning

confidence: 99%

The direct and indirect radiative effects of biogenic secondary organic aerosol

et al. 2014

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Abstract. We use a global aerosol microphysics model in combination with an offline radiative transfer model to quantify the radiative effect of biogenic secondary organic aerosol (SOA) in the present-day atmosphere. Through its role in particle growth and ageing, the presence of biogenic SOA increases the global annual mean concentration of cloud condensation nuclei (CCN; at 0.2 % supersaturation) by 3.6-21.1 %, depending upon the yield of SOA production from biogenic volatile organic compounds (BVOCs), and the nature and treatment of concurrent primary carbonaceous emissions. This increase in CCN causes a rise in global annual mean cloud droplet number concentration (CDNC) of 1.9-5.2 %, and a global mean first aerosol indirect effect (AIE) of between +0.01 W m −2 and −0.12 W m −2 . The radiative impact of biogenic SOA is far greater when biogenic oxidation products also contribute to the very early stages of new particle formation; using two organically mediated mechanisms for new particle formation, we simulate global annual mean first AIEs of −0.22 W m −2 and −0.77 W m −2 . The inclusion of biogenic SOA substantially improves the simulated seasonal cycle in the concentration of CCN-sized particles observed at three forested sites. The best correlation is found when the organically mediated nucleation mechanisms are applied, suggesting that the first AIE of biogenic SOA could be as large as −0.77 W m −2 . The radiative impact of SOA is sensitive to the presence of anthropogenic emissions. Lower background aerosol concentrations simulated with anthropogenic emissions from 1750 give rise to a greater fractional CCN increase and a more substantial first AIE from biogenic SOA. Consequently, the anthropogenic indirect radiative forcing between 1750 and the present day is sensitive to assumptions about the amount and role of biogenic SOA. We also calculate an annual global mean direct radiative effect of between −0.08 W m −2 and −0.78 W m −2 in the present day, with uncertainty in the amount of SOA produced from the oxidation of BVOCs accounting for most of this range.

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Loading-dependent elemental composition of α-pinene SOA particles

Cited by 284 publications

References 57 publications

Real-Time Aerosol Density Determination Utilizing a Modified Scanning Mobility Particle Sizer—Aerosol Particle Mass Analyzer System

Real-Time Aerosol Density Determination Utilizing a Modified Scanning Mobility Particle Sizer—Aerosol Particle Mass Analyzer System

Wavelength Dependence of Refractive Index of Secondary Organic Aerosols Generated during the Ozonolysis and Photooxidation of α-Pinene

The direct and indirect radiative effects of biogenic secondary organic aerosol

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