Abstract

Abstract. Soot particles are the most efficient light absorbing aerosol species in the atmosphere, playing an important role as a driver of global warming. Their climate effects strongly depend on their mixing state, which significantly changes their light absorbing capability and cloud condensation nuclei (CCN) activity. Therefore, knowledge about the mixing state of soot and its aging mechanism becomes an important topic in the atmospheric sciences. The size-resolved (30–320 nm diameter) mixing state of soot particles in polluted megacity air was measured at a suburban site (Yufa) during the CAREBeijing 2006 campaign in Beijing, using a volatility tandem differential mobility analyzer (VTDMA). Particles in this size range with non-volatile residuals at 300 °C were considered to be soot particles. On average, the number fraction of internally mixed soot in total soot particles (Fin), decreased from 0.80 to 0.57 when initial Dp increased from 30 to 320 nm. Further analysis reveals that: (1) Fin was well correlated with the aerosol hygroscopic mixing state measured by a CCN counter. More externally mixed soot particles were observed when particles showed more heterogeneous features with regard to hygroscopicity. (2) Fin had pronounced diurnal cycles. For particles in the accumulation mode (Dp at 100–320 nm), largest Fin were observed at noon time, with "apparent" turnover rates (kex → in) up to 7.8% h−1. (3) Fin was subject to competing effects of both aging and emissions. While aging increases Fin by converting externally mixed soot particles into internally mixed ones, emissions tend to reduce Fin by emitting more fresh and externally mixed soot particles. Similar competing effects were also found with air mass age indicators. (4) Under the estimated emission intensities, actual turnover rates of soot (kex → in) up to 20% h−1 were derived, which showed a pronounced diurnal cycle peaking around noon time. This result confirms that (soot) particles are undergoing fast aging/coating with the existing high levels of condensable vapors in the megacity Beijing. (5) Diurnal cycles of Fin were different between Aitken and accumulation mode particles, which could be explained by the faster growth of smaller Aitken mode particles into larger size bins. To improve the Fin prediction in regional/global models, we suggest parameterizing Fin by an air mass aging indicator, i.e., Fin = a + bx, where a and b are empirical coefficients determined from observations, and x is the value of an air mass age indicator. At the Yufa site in the North China Plain, fitted coefficients (a, b) were determined as (0.57, 0.21), (0.47, 0.21), and (0.52, 0.0088) for x (indicators) as [NOz]/[NOy], [E]/[X] ([ethylbenzene]/[m,p-xylene]) and ([IM] + [OM])/[EC] ([inorganic + organic matter]/[elemental carbon]), respectively. Such a parameterization consumes little additional computing time, but yields a more realistic description of Fin compared with the simple treatment of soot mixing state in regional/global models.

Highlights

  • Soot particles are generally regarded as the most efficient light absorbing component of atmospheric aerosols (Rosen et al, 1979; Japar et al, 1986; Horvath, 1993; Bergstrom et al, 2007)

  • A volatility tandem differential mobility analyzer (VTDMA) (Orsini et al, 1996; Philippin et al, 2004) was used to measure the number size distributions of the non-volatile residuals of pre-selected mono-disperse particles that were heated at 300 ◦C (7 selected particle diameters in the range of 30 to 320 nm; time resolution of 1 h for a complete cycle of 7 diameters)

  • Maxima of Fin were observed at 12:00–13:00 LT, which can be explained by competing effects of physico-chemical conversion and direct emissions

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Summary

Introduction

Soot particles are generally regarded as the most efficient light absorbing component of atmospheric aerosols (Rosen et al, 1979; Japar et al, 1986; Horvath, 1993; Bergstrom et al, 2007). The coating of soot particles can significantly enhance their ability to be activated as cloud condensation nuclei (CCN) (Rose et al, 2011) and influence cloud formation processes (related to their indirect radiative effects) and the removal of soot particles from the atmosphere For these reasons, the mixing state is a crucial parameter for soot particles, uncertainty about which has made it difficult to accurately assess its climatic impact (Jacobson, 2001)

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