Abstract

Abstract. Absorbing aerosols can significantly modulate short-wave solar radiation in the atmosphere, affecting regional and global climate. The aerosol absorption coefficient (AAC) is an indicator that assesses the impact of absorbing aerosols on radiative forcing. In this study, the near-surface AAC and absorption Ångström exponent (AAE) in the urban area of Nanjing, China, are characterized on the basis of measurements in 2012 and 2013 using the seven-channel Aethalometer (model AE-31, Magee Scientific, USA). The AAC is estimated with direct and indirect corrections, which result in consistent temporal variations and magnitudes of AAC at 532 nm. The mean AAC at 532 nm is about 43.23 ± 28.13 M m−1 in the urban area of Nanjing, which is much lower than that in Pearl River Delta and the same as in rural areas (Lin'an) in Yangtze River Delta. The AAC in the urban area of Nanjing shows strong seasonality (diurnal variations); it is high in cold seasons (at rush hour) and low in summer (in the afternoon). It also shows synoptic and quasi-2-week cycles in response to weather systems. Its frequency distribution follows a typical log-normal pattern. The 532 nm AAC ranging from 15 to 65 M m−1 dominates, accounting for more than 72 % of the total data samples in the entire study period. Frequent high pollution episodes, such as those observed in June 2012 and in winter 2013, greatly enhanced AAC and altered its temporal variations and frequency distributions. These episodes are mostly due to local emissions and regional pollution. Air masses flowing from northern China to Nanjing can sometimes be highly polluted and lead to high AAC at the site. AAE at 660/470 nm from the Schmid correction (Schmid et al., 2006) is about 1.56, which might be more reasonable than from the Weingartner correction (Weingartner et al., 2003). Low AAEs mainly occur in summer, likely due to high relative humidity (RH) in the season. AAC increases with increasing AAE at a fixed aerosol loading. The RH–AAC relationship is more complex. Overall, AAC peaks at RH values of around 40 % (1.3 < AAE < 1.6), 65 % (AAE < 1.3 and AAE > 1.6), and 80 % (1.3 < AAE < 1.6).

Highlights

  • Atmospheric aerosols, their loadings having increased in recent years, can significantly influence regional or global climate because of their direct and indirect interactions with short-wave solar radiation in the atmosphere (Forster et al, 2007)

  • We corrected the aerosol absorption coefficient (AAC) in the urban area of Nanjing during the period from 2012 to 2013, using three methods: indirect correct8ion (IDC), www.atmos-chem-phys.net/15/13633/2015/

  • It suggests that changes in aerosol mass absorption coefficients (MAC for short, defined as ratios of AAC to BC loading, in m2 g−1) at 532 nm are closely relative to the variations of AAE

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Summary

Introduction

Atmospheric aerosols, their loadings having increased in recent years, can significantly influence regional or global climate because of their direct and indirect interactions with short-wave solar radiation in the atmosphere (Forster et al, 2007). Previous studies have focused on the aerosol optical properties, radiative forcing, and climate effects on both global and regional scales, using model simulations (Penner et al, 2001; Liao and Seinfeld, 2005; Zhuang et al, 2013a, b) and satellite/ground-based observations (Bellouin et al, 2003; Yan et al, 2008; Wu et al, 2012; Zhuang et al, 2014a; etc.) in the past 20 years. To fill the gaps in research, this study characterizes the AAC in YRD using the near-surface absorption coefficient and Ångström exponent of absorbing aerosols in the urban area of Nanjing, a typical developing city in west Yangtze River Delta, China.

Sampling station and instruments
Temporal variations of the aerosol absorption coefficient
Frequencies of the aerosol absorption coefficient
Periodic variation of the aerosol absorption coefficient
Aerosol absorption coefficient in different wind directions
C2 C3 C4 C5 C6 C7 C8 C9 Clusters in 2013
20 Polynomial fitting
Aerosol absorption coefficient during pollution episodes
Conclusions
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