scholarly journals Correction: New particle formation and growth from methanesulfonic acid, trimethylamine and water

2017 ◽  
Vol 19 (6) ◽  
pp. 4893-4893 ◽  
Author(s):  
Haihan Chen ◽  
Michael J. Ezell ◽  
Kristine D. Arquero ◽  
Mychel E. Varner ◽  
Matthew L. Dawson ◽  
...  

Correction for ‘New particle formation and growth from methanesulfonic acid, trimethylamine and water’ by Haihan Chen et al., Phys. Chem. Chem. Phys., 2015, 17, 13699–13709.

2015 ◽  
Vol 17 (20) ◽  
pp. 13699-13709 ◽  
Author(s):  
Haihan Chen ◽  
Michael J. Ezell ◽  
Kristine D. Arquero ◽  
Mychel E. Varner ◽  
Matthew L. Dawson ◽  
...  

Water participates in the formation of initial clusters to enhance particle formation from methanesulfonic acid and trimethylamine.


2015 ◽  
Vol 103 ◽  
pp. 7-17 ◽  
Author(s):  
Z.B. Wang ◽  
M. Hu ◽  
X.Y. Pei ◽  
R.Y. Zhang ◽  
P. Paasonen ◽  
...  

2019 ◽  
Vol 19 (16) ◽  
pp. 10537-10555 ◽  
Author(s):  
Simo Hakala ◽  
Mansour A. Alghamdi ◽  
Pauli Paasonen ◽  
Ville Vakkari ◽  
Mamdouh I. Khoder ◽  
...  

Abstract. Atmospheric aerosols have significant effects on human health and the climate. A large fraction of these aerosols originates from secondary new particle formation (NPF), where atmospheric vapors form small particles that subsequently grow into larger sizes. In this study, we characterize NPF events observed at a rural background site of Hada Al Sham (21.802∘ N, 39.729∘ E), located in western Saudi Arabia, during the years 2013–2015. Our analysis shows that NPF events occur very frequently at the site, as 73 % of all the 454 classified days were NPF days. The high NPF frequency is likely explained by the typically prevailing conditions of clear skies and high solar radiation, in combination with sufficient amounts of precursor vapors for particle formation and growth. Several factors suggest that in Hada Al Sham these precursor vapors are related to the transport of anthropogenic emissions from the coastal urban and industrial areas. The median particle formation and growth rates for the NPF days were 8.7 cm−3 s−1 (J7 nm) and 7.4 nm h−1 (GR7−12 nm), respectively, both showing highest values during late summer. Interestingly, the formation and growth rates increase as a function of the condensation sink, likely reflecting the common anthropogenic sources of NPF precursor vapors and primary particles affecting the condensation sink. A total of 76 % of the NPF days showed an unusual progression, where the observed diameter of the newly formed particle mode started to decrease after the growth phase. In comparison to most long-term measurements, the NPF events in Hada Al Sham are exceptionally frequent and strong both in terms of formation and growth rates. In addition, the frequency of the decreasing mode diameter events is higher than anywhere else in the world.


2017 ◽  
Vol 51 (4) ◽  
pp. 2124-2130 ◽  
Author(s):  
Kristine D. Arquero ◽  
R. Benny Gerber ◽  
Barbara J. Finlayson-Pitts

2020 ◽  
Vol 54 (14) ◽  
pp. 8547-8557 ◽  
Author(s):  
Chenjuan Deng ◽  
Yueyun Fu ◽  
Lubna Dada ◽  
Chao Yan ◽  
Runlong Cai ◽  
...  

2020 ◽  
Author(s):  
Dominik Stolzenburg ◽  
Runlong Cai ◽  
Lauri Ahonen ◽  
Tiia Laurila ◽  
Sebastian Holm ◽  
...  

<p>New particle formation (NPF) by gas-to-particle conversion occurs frequently in many different environments around the globe (Nieminen et al., 2018). NPF is the major contributor to the global cloud condensation nuclei budget (Gordon et al., 2017) and also impacts urban air quality (Guo et al., 2014). It is therefore crucial to understand how the newly formed particles can survive and grow to larger particles under different environmental conditions. Depending on the environment different condensable vapours and also different aerosol dynamics govern the NPF process.</p><p>In order to investigate the dynamics of aerosol growth in the sub-10 nm regime, where the newly formed particles are most vulnerable for losses to pre-existing aerosol, we tested several combining instrument inversion approaches. This allows to combine the measurements of several different particle sizing instruments in the sub-10 nm range, where each instrument offers different benefits and weaknesses. If the instruments are combined during the inversion, this could significantly reduce the error of the inferred particle size-distributions. Model results show that the regularization approach proposed by Wolfenbarger and Seinfeld (1990) yield the most stable inversion for data heavily influenced by measurement errors.</p><p>We than apply the tested inversion techniques to measurements in three different environments where an array of different state-of-the-art sub-10 nm sizing instruments was deployed: The SMEAR-II station in Hyytiälä, Finland, representative for a rural boreal forest background site, the SMEAR-III station in Helsinki, Finland, representative for a medium-polluted middle-scale European city, and at the Beijing University of Chemical Technology, China, an urban site in a global megacity.</p><p>We demonstrate that the combining instrument approach can enable a more detailed analysis of the cluster dynamics, e.g. by the application of size- and time resolving growth rate analysis tools (Pichelstorfer et al., 2018). This will lead to a better understanding of the role of coagulation and condensation in the particle growth process and will help to explain the different dynamics which lead to NPF in fundamentally different environments.</p><p><strong>References:</strong></p><p>Gordon, H. et al.: Causes and importance of new particle formation in the present-day and preindustrial atmospheres, J. Geophys. Res.-Atmos., 122, doi:10.1002/2017JD026844, 2017.</p><p>Guo, S. et al.: Elucidating severe urban haze formation in China, P. Nat. Acad. Sci. USA, 111(49), 17373 LP – 17378, doi:10.1073/pnas.1419604111, 2014.</p><p>Nieminen, T. et al.: Global analysis of continental boundary layer new particle formation based on long-term measurements, Atmos. Chem. Phys., (April), 1–34, doi:10.5194/acp-2018-304, 2018.</p><p>Pichelstorfer, L et al.: Resolving nanoparticle growth mechanisms from size- and time-dependent growth rate analysis, Atmos. Chem. Phys., 18(2), 1307–1323, doi:10.5194/acp-18-1307-2018, 2018.</p><p>Wolfenbarger, J. K. and Seinfeld, J. H.: Inversion of aerosol size distribution data, J. Aerosol Sci., 21(2), 227–247, doi:https://doi.org/10.1016/0021-8502(90)90007-K, 1990.</p>


2020 ◽  
Author(s):  
Vitus Besel ◽  
Jakub Kubečka ◽  
Theo Kurtén ◽  
Hanna Vehkamäki

<div> <p>The bulk of aerosol particles in the atmosphere are formed by gas-to-particle nucleation (Merikanto et al., 2009). However, the exact process of single molecules forming cluster, which subsequently can grow into particles, remains largely unknown. Recently, sulfuric acid has been identified to play a key role in this new particle formation enhanced by other compounds such as organic acids (Zhang, 2010) or ammonia (Anttila et al., 2005). To identify the characteristics of cluster formation and nucleation involving sulfuric acid and ammonia in neutral, positive and negative modes, we conducted a computational study. We used a layered approach for configurational sampling of the molecular clusters starting from utilizing a genetic algorithm in order to explore the whole potential energy surface (PES) with all plausible geometrical minima, however, with very unreliable energies. The structures were further optimized with a semi-empirical method and, then, at the ωB97X-D DFT level of theory. After each step, the optimized geometries were filtered to obtain the global minimum configuration. Further, a high level of theory (DLPNO-CCSD(T)) was used for obtaining the electronic energies, in addition to performing DFT frequency analysis, to calculate the Gibbs free energies of formation. These were passed to the Atmospheric Cluster Dynamics Code (ACDC) (McGrath et al., 2012) for studying the evolution of cluster populations. We determined the global minima for the following sulfuric acid - ammonia clusters: (H<sub>2</sub>SO<sub>4</sub>)<sub>m</sub>(NH<sub>3</sub>)<sub>n</sub> with m=n, m=n+1 and n=m+1 for neutral clusters, (H<sub>2</sub>SO<sub>4</sub>)<sub>m</sub>(HSO<sub>4</sub>)<sup>−</sup>(NH<sub>3</sub>)<sub>n</sub> with m=n and n=m+1 for positively charged clusters, and (H<sub>2</sub>SO<sub>4</sub>)<sub>m</sub>(NH<sub>4</sub>)<sup>+</sup>(NH<sub>3</sub>)<sub>n</sub> with m=n and m=n+1 for negatively charged clusters. Further, we present the formation rates, steady state concentrations and fluxes of these clusters calculated using ACDC and discuss how a new configurational sampling procedure, more precise quantum chemistry methods and parameters, such as symmetry and a quasiharmonic approach, impact these ACDC results in comparison to previous studies.</p> </div><div> <p><em>References:<br></em><em>J. Merikanto, D. V. Spracklen, G. W. Mann, S. J. Pickering, and K. S. Carslaw (2009). Atmos. Chem.  Phys., 9, 8601-8616. <br>R. Zhang (2010). Science, 328, 1366-1367. <br>T. Anttila, H. Vehkamäki, I. Napari, M. Kulmala (2005). Boreal Env. Res., 10, 523. <br>M.J. McGrath, T. Olenius, I.K. Ortega, V. Loukonen, P.  Paasonen, T. Kurten, M. Kulmala (2012). Atmos. Chem. Phys., 12, 2355. <br></em></p> </div>


2017 ◽  
Vol 44 (6) ◽  
pp. 2958-2966 ◽  
Author(s):  
Claudia Mohr ◽  
Felipe D. Lopez-Hilfiker ◽  
Taina Yli-Juuti ◽  
Arto Heitto ◽  
Anna Lutz ◽  
...  

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