Inversely modeling homogeneous H&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;SO&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt; − H&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O nucleation rate in exhaust-related conditions

Olin, Miska; Alanen, Jenni; Palmroth, Marja R.T.; Rönkkö, Topi; Maso, Miikka Dal

doi:10.5194/acp-19-6367-2019

Cited by 8 publications

(4 citation statements)

References 81 publications

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“…It has been determined that in the atmospheric environment, most nanoparticles come from a multicomponent route, that is, a binary homogeneous nucleation process of water‐sulfuric acid vapors. A complete theoretical understanding of this phenomenon is still a challenge due to its complicated chemical/physical processes (Chan, Liu, & Chan, 2010; Chan, Zhou, et al, 2010; Harrison et al, 2018; Liu & Chan, 2018; Maurya et al, 2018; Nagpure et al, 2011; Olin et al, 2019; Zhou & Chan, 2011). Because of the undoubted contribution of gaseous and particulate emissions to air pollution emitted from power plants and motor vehicles into the atmosphere (Chan, Liu, & Chan, 2010; Chan, Zhou, et al, 2010; Chan & Ning, 2005; Ning et al, 2005; Wang et al, 2006; Zhou & Chan, 2011), a lot of attention has been focused on secondary particles.…”

Section: Resultsmentioning

confidence: 99%

Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application

Shen

Chan

et al. 2020

JGR Atmospheres

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The atmospheric aerosol dynamics model (AADM) has been widely used in both comprehensive air quality model systems and chemical transport modeling globally. The AADM consists of Smoluchowski's coagulation equation (SCE), whose solution undergoing Brownian coagulation in the free molecular regime is a challenge because it is inconsistent with aerosols whose size distribution cannot exactly follow the lognormal size distribution. Thus, a new method for solving the SCE without assuming lognormal size distribution is proposed and developed. The underlying principle of this method is that the hybridization of the well‐established method of moments with the assumed lognormal size distribution (log MOM) and Taylor‐series expansion method of moments (TEMOM) is implemented. This method shows excellent agreement with the sectional method (SM) which is used as reference. The accuracy of these two specific models closely approaches that of the TEMOM, but overcomes the limitation of the classical log MOM. The computational time of this scheme is considerably lower than that of the SM. The new method was successfully implemented to reveal the formation and growth of secondary particles emitted from a vehicle exhaust tailpipe. It was found that the formation of new particles only occurs in the interface region of the turbulent exhaust jet (which is very close to the tailpipe exit), whereas no new particles are formed in the mixture of the exhaust jet plume and the surrounding cold air downstream. The new method is verified as an efficient and reliable numerical scheme for studying atmospheric aerosol dynamics.

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Section: Resultsmentioning

confidence: 99%

Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application

Shen

Chan

et al. 2020

JGR Atmospheres

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“…Particle emissions depend also on environmental parameters, such as temperature (Mathis et al, 2004;Olin et al, 2019) and radiation (Olin et al, 2020). Therefore, particle emissions can differ between nighttime and daytime.…”

Section: Uncertainties Involved In Updating the Emission Inventorymentioning

confidence: 99%

Contribution of traffic-originated nanoparticle emissions to regional and local aerosol levels

Olin

Patoulias

Kuuluvainen

et al. 2021

Preprint

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Abstract. Sub-50 nm particles originating from traffic emissions pose risks to human health due to their high lung deposition efficiency and potentially harmful chemical composition. We present a modelling study using an updated EUCAARI number emission inventory, incorporating a more realistic, empirically justified particle size distribution (PSD) for sub-50 nm particles from road traffic. We present experimental PSDs and CO2 concentrations, measured in a highly trafficked street canyon in Helsinki, Finland, as an emission factor particle size distribution (EFPSD), which was then used in updating the EUCAARI inventory. We applied the updated inventory in a simulation using the regional chemical transport model PMCAMx-UF over Europe for May 2008 to test the effect of updated emissions in regional and local scales and in contrast to atmospheric new particle formation (NPF). Updating the inventory increased simulated average total particle number concentrations by only 1 %, although the total particle number emissions were increased to a 3-fold level. The concentrations increased up to 11 % when only 1.3–3 nm-sized particles (nanocluster aerosol, NCA) were considered. These values indicate that the effect of updating overall is insignificant in a regional scale during this photochemically active period, during which the fraction of the total particle number originating through atmospheric NPF processes was 91 %. These simulations give a lower limit for the contribution of traffic to the aerosol levels. Nevertheless, the situation is different when examining the effect of the update spatially or temporally, or when focusing to the chemical composition or the origin of the particles. For example, daily average NCA concentrations increased by a factor of several hundreds or thousands in some locations on certain days. Overall, the most significant effects–reaching several orders of magnitude–from updating the inventory are observed when examining specific particle sizes (especially 7–20 nm), particle components, and specific urban areas. While the model still has a tendency to predict more sub-50 nm particles compared to the observations, the most notable underestimations in the concentrations of sub-10 nm particles are, after updating, overcome and the simulated distributions now agree better with the data observed at locations having high traffic densities. The findings of this study highlight the need to consider emissions, PSDs, and composition of sub-50 nm particles from road traffic in studies focusing on urban air quality. Updating this emission source brings the simulated aerosol levels particularly in urban locations closer to observations, which highlights its importance for calculations of human exposure to nanoparticles.

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“…It has been determined that in the atmospheric environment, most nanoparticles come from a multicomponent route, that is, a binary homogeneous nucleation process of water-sulfuric acid vapors. A complete theoretical understanding of this phenomenon is still a challenge due to its complicated chemical/physical processes Chan, Zhou, et al, 2010;Harrison et al, 2018;Maurya et al, 2018;Nagpure et al, 2011;Olin et al, 2019;Zhou & Chan, 2011). Because of the undoubted contribution of gaseous and particulate emissions to air pollution emitted from power plants and motor vehicles into the atmosphere Chan, Zhou, et al, 2010;Chan & Ning, 2005;Ning et al, 2005;Wang et al, 2006;Zhou & Chan, 2011), a lot of attention has been focused on secondary particles.…”

Section: Application Of Temom-log Mom (I) Modelmentioning

confidence: 99%

Efficient method of moments for simulating atmospheric aerosol growth: model description, verification and application

Shen

Chan

et al. 2020

Preprint

View full text Add to dashboard Cite

The atmospheric aerosol dynamics model (AADM) has been widely used in both comprehensive air quality model systems and chemical transport modeling globally. The AADM consists of Smoluchowski's coagulation equation (SCE), whose solution undergoing Brownian coagulation in the free molecular regime is a challenge because it is inconsistent with aerosols whose size distribution cannot exactly follow the lognormal size distribution. Thus, a new method for solving the SCE without assuming lognormal size distribution is proposed and developed. The underlying principle of this method is that the hybridization of the well-established method of moments with the assumed lognormal size distribution (log MOM) and Taylor-series expansion method of moments (TEMOM) is implemented. This method shows excellent agreement with the sectional method (SM) which is used as reference. The accuracy of these two specific models closely approaches that of the TEMOM, but overcomes the limitation of the classical log MOM. The computational time of this scheme is considerably lower than that of the SM. The new method was successfully implemented to reveal the formation and growth of secondary particles emitted from a vehicle exhaust tailpipe. It was found that the formation of new particles only occurs in the interface region of the turbulent exhaust jet (which is very close to the tailpipe exit), whereas no new particles are formed in the mixture of the exhaust jet plume and the surrounding cold air downstream. The new method is verified as an efficient and reliable numerical scheme for studying atmospheric aerosol dynamics.

show abstract

Inversely modeling homogeneous H<sub>2</sub>SO<sub>4</sub> − H<sub>2</sub>O nucleation rate in exhaust-related conditions

Cited by 8 publications

References 81 publications

Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application

Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application

Contribution of traffic-originated nanoparticle emissions to regional and local aerosol levels

Efficient method of moments for simulating atmospheric aerosol growth: model description, verification and application

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