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  • Royal Society of Chemistry (RSC)  (5)
  • 1
    In: Faraday Discussions, Royal Society of Chemistry (RSC), Vol. 226 ( 2021), p. 334-347
    Materialart: Online-Ressource
    ISSN: 1359-6640 , 1364-5498
    Sprache: Englisch
    Verlag: Royal Society of Chemistry (RSC)
    Publikationsdatum: 2021
    ZDB Id: 1472891-6
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Royal Society of Chemistry (RSC) ; 2022
    In:  Environmental Science: Atmospheres Vol. 2, No. 3 ( 2022), p. 449-468
    In: Environmental Science: Atmospheres, Royal Society of Chemistry (RSC), Vol. 2, No. 3 ( 2022), p. 449-468
    Kurzfassung: The formation and growth of atmospheric particles involving sulfuric acid and organic vapors is estimated to have significant climate effects. To accurately represent this process in large-scale models, the correct interpretation of the observations on particle growth, especially below 10 nm, is essential. Here, we disentangle the factors governing the growth of sub-10 nm particles in the presence of sulfuric acid and organic vapors, using molecular-resolution cluster population simulations and chamber experiments. We find that observed particle growth rates are determined by the combined effects of (1) the concentrations and evaporation rates of the condensing vapors, (2) particle population dynamics, and (3) stochastic fluctuations, characteristic to initial nucleation. This leads to a different size-dependency of growth rate in the presence of sulfuric acid and/or organic vapors at different concentrations. Specifically, the activation type behavior, resulting in growth rate increasing with the particle size, is observed only at certain vapor concentrations. In our model simulations, cluster–cluster collisions enhance growth rate at high vapor concentrations and their importance is dictated by the cluster evaporation rates, which demonstrates the need for accurate evaporation rate data. Finally, we show that at sizes below ∼2.5–3.5 nm, stochastic effects can importantly contribute to particle population growth. Overall, our results suggest that interpreting particle growth observations with approaches neglecting population dynamics and stochastics, such as with single particle growth models, can lead to the wrong conclusions on the properties of condensing vapors and particle growth mechanisms.
    Materialart: Online-Ressource
    ISSN: 2634-3606
    Sprache: Englisch
    Verlag: Royal Society of Chemistry (RSC)
    Publikationsdatum: 2022
    ZDB Id: 3057711-1
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    In: Environmental Science: Atmospheres, Royal Society of Chemistry (RSC), Vol. 2, No. 2 ( 2022), p. 146-164
    Kurzfassung: Atmospheric aerosols have significant effects on the climate and on human health. New particle formation (NPF) is globally an important source of aerosols but its relevance especially towards aerosol mass loadings in highly polluted regions is still controversial. In addition, uncertainties remain regarding the processes leading to severe pollution episodes, concerning e.g. the role of atmospheric transport. In this study, we utilize air mass history analysis in combination with different fields related to the intensity of anthropogenic emissions in order to calculate air mass exposure to anthropogenic emissions (AME) prior to their arrival at Beijing, China. The AME is used as a semi-quantitative metric for describing the effect of air mass history on the potential for aerosol formation. We show that NPF events occur in clean air masses, described by low AME. However, increasing AME seems to be required for substantial growth of nucleation mode (diameter 〈 30 nm) particles, originating either from NPF or direct emissions, into larger mass-relevant sizes. This finding assists in establishing and understanding the connection between small nucleation mode particles, secondary aerosol formation and the development of pollution episodes. We further use the AME, in combination with basic meteorological variables, for developing a simple and easy-to-apply regression model to predict aerosol volume and mass concentrations. Since the model directly only accounts for changes in meteorological conditions, it can also be used to estimate the influence of emission changes on pollution levels. We apply the developed model to briefly investigate the effects of the COVID-19 lockdown on PM 2.5 concentrations in Beijing. While no clear influence directly attributable to the lockdown measures is found, the results are in line with other studies utilizing more widely applied approaches.
    Materialart: Online-Ressource
    ISSN: 2634-3606
    Sprache: Englisch
    Verlag: Royal Society of Chemistry (RSC)
    Publikationsdatum: 2022
    ZDB Id: 3057711-1
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    In: Environmental Science: Atmospheres, Royal Society of Chemistry (RSC), Vol. 1, No. 6 ( 2021), p. 434-448
    Kurzfassung: Aerosol particles negatively affect human health while also having climatic relevance due to, for example, their ability to act as cloud condensation nuclei. Ultrafine particles (diameter D p 〈 100 nm) typically comprise the largest fraction of the total number concentration, however, their chemical characterization is difficult because of their low mass. Using an extractive electrospray time-of-flight mass spectrometer (EESI-TOF), we characterize the molecular composition of freshly nucleated particles from naphthalene and β-caryophyllene oxidation products at the CLOUD chamber at CERN. We perform a detailed intercomparison of the organic aerosol chemical composition measured by the EESI-TOF and an iodide adduct chemical ionization mass spectrometer equipped with a filter inlet for gases and aerosols (FIGAERO-I-CIMS). We also use an aerosol growth model based on the condensation of organic vapors to show that the chemical composition measured by the EESI-TOF is consistent with the expected condensed oxidation products. This agreement could be further improved by constraining the EESI-TOF compound-specific sensitivity or considering condensed-phase processes. Our results show that the EESI-TOF can obtain the chemical composition of particles as small as 20 nm in diameter with mass loadings as low as hundreds of ng m −3 in real time. This was until now difficult to achieve, as other online instruments are often limited by size cutoffs, ionization/thermal fragmentation and/or semi-continuous sampling. Using real-time simultaneous gas- and particle-phase data, we discuss the condensation of naphthalene oxidation products on a molecular level.
    Materialart: Online-Ressource
    ISSN: 2634-3606
    Sprache: Englisch
    Verlag: Royal Society of Chemistry (RSC)
    Publikationsdatum: 2021
    ZDB Id: 3057711-1
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    Online-Ressource
    Online-Ressource
    Royal Society of Chemistry (RSC) ; 2022
    In:  Environmental Science: Atmospheres Vol. 2, No. 3 ( 2022), p. 352-361
    In: Environmental Science: Atmospheres, Royal Society of Chemistry (RSC), Vol. 2, No. 3 ( 2022), p. 352-361
    Kurzfassung: We investigated the contribution of atmospheric new particle formation (NPF) and subsequent growth of the newly formed particles, characterized by high concentrations of fine particulate matter (PM 2.5 ). In addition to having adverse effects on visibility and human health, these haze particles may act as cloud condensation nuclei, having potentially large influences on clouds and precipitation. Using atmospheric observations performed in 2019 in Beijing, a polluted megacity in China, we showed that the variability of growth rates (GR) of particles originating from NPF depend only weakly on low-volatile vapor – highly oxidated organic molecules (HOMs) and sulphuric acid – concentrations and have no apparent connection with the strength of NPF or the level of background pollution. We then constrained aerosol dynamic model simulations with these observations. We showed that under conditions typical for the Beijing atmosphere, NPF is capable of contributing with more than 100 μg m −3 to the PM 2.5 mass concentration and simultaneously 〉 10 3 cm −3 to the haze particle (diameter 〉 100 nm) number concentration. Our simulations reveal that the PM 2.5 mass concentration originating from NPF, strength of NPF, particle growth rate and pre-existing background particle population are all connected with each other. Concerning the PM pollution control, our results indicate that reducing primary particle emissions might not result in an effective enough decrease in total PM 2.5 mass concentrations until a reduction in emissions of precursor compounds for NPF and subsequent particle growth is imposed.
    Materialart: Online-Ressource
    ISSN: 2634-3606
    Sprache: Englisch
    Verlag: Royal Society of Chemistry (RSC)
    Publikationsdatum: 2022
    ZDB Id: 3057711-1
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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