Journals / Atmospheric Pollution Research / 2016 / Cilt: 7 - Sayı: 6

Characteristics of individual particles in a severe short-period haze episode induced by biomass burning in Beijing

Pages
1072–1081
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The size distribution was unimodalin clean air, and the mode was approximately 0.35 mm, with a mean equivalent diameter of 0.45 mm.The coreeshell ratio distribution for soot particles collected in haze induced by biomass-burning aerosolswas quite different from those in clean air, and soot particles were more aged in haze samples.

📌 3 Key Takeaways

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Objective & Hypothesis:Atmospheric particles were investigated from a haze episode in autumn 2012 in Beijing that was causedby transported pollutants emitted from biomass burning during the crop harvest season in the NorthChina Plain.
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Key Findings & Data:The ratios of accumulation-mode secondary particles to sootcontaining particles were 4.0, 2.3, 1.7, 1.8, and 5.5, i.e., secondary particles in haze were proportionallyless abundant than those in clean air, which was caused by the different dominant secondary formationmechanisms during hazy and clean periods.
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Conclusion & Impact:The size distribution was unimodalin clean air, and the mode was approximately 0.35 mm, with a mean equivalent diameter of 0.45 mm.The coreeshell ratio distribution for soot particles collected in haze induced by biomass-burning aerosolswas quite different from those in clean air, and soot particles were more aged in haze samples.
🔬Design:Research Article
📍Scope:2012 Verileri
⚙️Variables:Domain Parameters

Özet

Atmospheric particles were investigated from a haze episode in autumn 2012 in Beijing that was causedby transported pollutants emitted from biomass burning during the crop harvest season in the NorthChina Plain. Four samples from haze and one sample from clean atmosphere were collected in sequenceby a multiple-stage cascade impactor. Based on morphology and elemental compositions, the particleswere classified into five types: accumulation-mode secondary particles with and without coating, nakedand coreeshell soot, and other particles. The ratios of accumulation-mode secondary particles to sootcontaining particles were 4.0, 2.3, 1.7, 1.8, and 5.5, i.e., secondary particles in haze were proportionallyless abundant than those in clean air, which was caused by the different dominant secondary formationmechanisms during hazy and clean periods. Meanwhile, the ratios of particles with coating to thosewithout coating were 0.5, 1.0, 0.7, 0.6, and 0.2, implying that the particles in haze were likely morehygroscopic than those in clean air. In haze, the size distributions of particles were multi-modal, withmain modes of approximately 0.55e0.85 mm, suggesting that the particles were from multiple sourcesdue to the transported biomass burning plumes mixed with urban air. The size distribution was unimodalin clean air, and the mode was approximately 0.35 mm, with a mean equivalent diameter of 0.45 mm.The coreeshell ratio distribution for soot particles collected in haze induced by biomass-burning aerosolswas quite different from those in clean air, and soot particles were more aged in haze samples.

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Cite This Article

NİU, H., CHENG, W., HU, W., PİAN, W. (2016). Characteristics of individual particles in a severe short-period haze episode induced by biomass burning in Beijing. Atmospheric Pollution Research, Cilt: 7 - Sayı: 6, 1072–1081. https://ajindex.com/articles/351390

References (4)

  1. Abel, S.J., Haywood, J.M., Highwood, E.J., Li, J., Buseck, P.R., 2003. Evolution of biomass burning aerosol properties from an agricultural fire in southern Africa. Geophys. Res. Lett. 30, 1783. http://dx.doi.org/10.1029/2003GL017342.
  2. Adachi, K., Buseck, P., 2008. Internally mixed soot, sulfates, and organic matter in aerosol particles from Mexico City. Atmos. Chem. Phys. 8, 6469e6481. Alvarado, M.J., Prinn, R.G., 2009. Formation of ozone and growth of aerosols in young smoke plumes from biomass burning: 1. Lagrangian parcel studies. J. Geophys. Res. 114, D09306. http://dx.doi.org/10.1029/2008JD011144.
  3. Andreae, M.O., Merlet, P., 2001. Emission of trace gases and aerosols from biomass burning. Glob. Biogeochem. Cyc 15, 955e966. Cao, G., Zhang, X., Wang, D., Zheng, F., 2005. Inventory of atmospheric pollutants discharged from biomass burning in China continent. China Environ. Sci. 25, 389e393 (in Chinese). Cheng, Y., Engling, G., He, K.B., Duan, F.K., Ma, Y.L., Du, Z.Y., Liu, J.M., Zheng, M., Weber, R.J., 2013. Biomass burning contribution to Beijing aerosol. Atmos. Chem. Phys. 13, 7765e7781. DeCarlo, P.F., Slowik, J.G., Worsnop, D.R., Davidovits, P., Jimenez, J.L., 2004. Particle morphology and density characterization by combined mobility and aerodynamic diameter measurements. Part 1 Theory. Aerosol Sci. Technol. 38, 1185e1205. de Gouw, J., Cooper, O., Warneke, C., Hudson, P., Fehsenfeld, F., Holloway, J., Hübler, G., Nicks Jr., D., Nowak, J., Parrish, D., 2004. Chemical composition of air masses transported from Asia to the US West Coast during ITCT 2K2: fossil fuel combustion versus biomass-burning signatures. J. Geophys. Res. Atmos. 109, D23S20. http://dx.doi.org/10.1029/2003JD004202.
  4. Ding, A., Fu, C., Yang, X., Sun, J., Petaj € a, T., Kerminen, V.-M., Wang, T., Xie, Y., € Herrmann, E., Zheng, L., 2013. Intense atmospheric pollution modifies weather: a case of mixed biomass burning with fossil fuel combustion pollution in eastern China. Atmos. Chem. Phys. 13, 10545e10554. Hu, M., Peng, J., Sun, K., Yue, D., Guo, S., Wiedensohler, A., Wu, Z., 2012. Estimation of size-resolved ambient particle density based on the measurement of aerosol number, mass, and chemical size distributions in the winter in Beijing. Environ. Sci. Technol. 46, 9941e9947. Hu, Q.H., Xie, Z.Q., Wang, X.M., Kang, H., Zhang, P., 2013. Levoglucosan indicates high levels of biomass burning aerosols over oceans from the Arctic to Antarctic. Sci. Rep. 3 http://dx.doi.org/10.1038/srep03119.