Particle formation and growth from ozonolysis of α‐pinene

Hoppel, W. A.; Fitzgerald, James W.; Frick, G. M.; Caffrey, Peter F.; Pasternack, Louise; Hegg, D́ean A.; Gao, Song; Leaitch, W. R.; Shantz, N. C.; Cantrell, C. A.; Albrechcinski, Thomas; Ambrusko, John; Sullivan, William

doi:10.1029/2001jd900018

Cited by 47 publications

(51 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The decrease in the SO 2 concentration leads to a reduced sulfate formation (see http://www.nilu.no/ projects/ccc/emepdata.html), which is also detected at the Jungfraujoch with a yearly trend of À3.3% yr À1 and monthly trends between 6 and 12% yr À1 during the October to January period (Tables 1 and 2). Smog chamber experiments on ozonolysis of a-pinene showed that addition of trace amounts of SO 2 greatly enhanced the nucleation rate [Hoppel et al, 2001]. One possible explanation is that reduced SO 2 leads to lower nucleation rates and in turn preferential condensation on the preexisting aerosol and therefore a greater mean aerosol size of the accumulation mode particles also for the ambient aerosol.…”

Section: Discussionmentioning

confidence: 99%

Long‐term trend analysis of aerosol variables at the high‐alpine site Jungfraujoch

et al. 2007

View full text Add to dashboard Cite

[1] This study reports the first long-term trend analysis of aerosol optical measurements at the high-alpine site Jungfraujoch, which started 10.5 years ago. Since the aerosol variables are approximately lognormally distributed, the seasonal Kendall test and Sen's slope estimator were applied as nonparametric methods to detect the long-term trends for each month. The yearly trend was estimated by a least-mean-square fit, and the number of years necessary to detect this trend was calculated. The most significant trend is the increase (4-7% yr À1 ) in light-scattering coefficients during the September to December period. The light absorption and backscattering coefficients and the aerosol number concentration also show a positive trend during this time of the year. The hemispheric backscattering fraction and the scattering exponent calculated with the smaller wavelengths (450 and 550 nm), which relate to the small aerosol size fraction, decrease except during the summer, whereas the scattering exponent calculated with the larger wavelengths (550 and 700 nm) remains constant. Generally, the summer months at the Jungfraujoch, which are strongly influenced by planetary boundary layer air masses, do not show any long-term trend. The trends determined by least-mean-square fits of the scattering and backscattering coefficients, the hemispheric backscattering fractions, and the scattering exponent are significant, and the number of years necessary to detect them is shorter than 10 years. For these variables, the trends and the slopes estimated by the seasonal Kendall test are therefore confirmed by the least-mean-square fit results.

show abstract

Section: Discussionmentioning

confidence: 99%

Long‐term trend analysis of aerosol variables at the high‐alpine site Jungfraujoch

et al. 2007

View full text Add to dashboard Cite

show abstract

“…The measurements were conducted in Calspan's 590 m 3 environmental chamber during October and November 1998; Details of the chamber and its instrumentation, along with results from selected case studies on the ozonolysis of α-pinene are given by Hoppel et al (2001). To illustrate the use of PARGAN, we apply it to an experiment in which SO 2 oxidation resulted in particle nucleation and growth.…”

Section: Application To Smog Chamber Measurements: Wall Loss Coagulamentioning

confidence: 99%

“…For small particles, wall loss by diffusion is most important, while for larger particles, loss by gravitational settling is larger. A number of chamber studies (Crump and Seinfeld, 1981;McMurry and Rader, 1985;Bienenstock, 2000;Hoppel et al, 2001) have reported a first order rate constant, k diff (r), for diffusional wall loss that is proportional to the square root of the Brownian diffusion coefficient, D B (r). Thus, k diff (r) is given by…”

Section: First Order Loss Processesmentioning

confidence: 99%

An inverse modeling procedure to determine particle growth and nucleation rates from measured aerosol size distributions

Verheggen

Mozurkewich

2006

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. Classical nucleation theory is unable to explain the ubiquity of nucleation events observed in the atmosphere. This shows a need for an empirical determination of the nucleation rate. Here we present a novel inverse modeling procedure to determine particle nucleation and growth rates based on consecutive measurements of the aerosol size distribution. The particle growth rate is determined by regression analysis of the measured change in the aerosol size distribution over time, taking into account the effects of processes such as coagulation, deposition and/or dilution. This allows the growth rate to be determined with a higher timeresolution than can be deduced from inspecting contour plots ("banana-plots"). Knowing the growth rate as a function of time enables the evaluation of the time of nucleation of measured particles of a certain size. The nucleation rate is then obtained by integrating the particle losses from time of measurement to time of nucleation. The regression analysis can also be used to determine or verify the optimum value of other parameters of interest, such as the wall loss or coagulation rate constants. As an example, the method is applied to smog chamber measurements. This program offers a powerful interpretive tool to study empirical aerosol population dynamics in general, and nucleation and growth in particular.

show abstract

“…In boreal forests, α-pinene is the most abundant monoterpene. It has been extensively studied in laboratory experiments during the past decades due to its large SOA formation potential (Hoppel et al, 2001; Lee and Kamens, 2005;Eddingsaas et al, 2012a). Several oxidation pathways are known (see Fig.…”

Section: A P Praplan Et Al: Elemental Composition and Clustering Bmentioning

confidence: 99%

Elemental composition and clustering behaviour of α-pinene oxidation products for different oxidation conditions

et al. 2015

View full text Add to dashboard Cite

Abstract. This study presents the difference between oxidised organic compounds formed by α-pinene oxidation under various conditions in the CLOUD environmental chamber: (1) pure ozonolysis (in the presence of hydrogen as hydroxyl radical (OH) scavenger) and (2) OH oxidation (initiated by nitrous acid (HONO) photolysis by ultraviolet light) in the absence of ozone.We discuss results from three Atmospheric Pressure interface Time-of-Flight (APi-TOF) mass spectrometers measuring simultaneously the composition of naturally charged as well as neutral species (via chemical ionisation with nitrate). Natural chemical ionisation takes place in the CLOUD chamber and organic oxidised compounds form clusters with nitrate, bisulfate, bisulfate/sulfuric acid clusters, ammonium, and dimethylaminium, or get protonated. The results from this study show that this process is selective for various oxidised organic compounds with low molar mass and ions, so that in order to obtain a comprehensive picture of the elemental composition of oxidation products and their clustering behaviour, several instruments must be used. We compare oxidation products containing 10 and 20 carbon atoms and show that highly oxidised organic compounds are formed in the early stages of the oxidation.

show abstract

Particle formation and growth from ozonolysis of α‐pinene

Cited by 47 publications

References 23 publications

Long‐term trend analysis of aerosol variables at the high‐alpine site Jungfraujoch

Long‐term trend analysis of aerosol variables at the high‐alpine site Jungfraujoch

An inverse modeling procedure to determine particle growth and nucleation rates from measured aerosol size distributions

Elemental composition and clustering behaviour of α-pinene oxidation products for different oxidation conditions

Contact Info

Product

Resources

About