Seasonal variability and source distribution of haze particles from a continuous one-year study in Beijing

Objective & Hypothesis:Haze pollution by anthropogenic emitted particles is a frequent challenge for Beijing air quality in addition to the well-known dust storm events.

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Key Findings & Data:In order to find out the characteristics of airborne PM during haze episodes in different seasons as well as of the corresponding PM sources or air flow influences, a continuous one-year daily PM sampling from June 2010 till June 2011 was performed at the campus of the China University of Geoscience (Beijing).

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Conclusion & Impact:The results show that the main sources of particles during haze are secondary inorganic ions formations.

🔬Design:Research Article

📍Scope:2010 Verileri

⚙️Variables:Domain Parameters

Özet

Haze pollution by anthropogenic emitted particles is a frequent challenge for Beijing air quality in addition to the well-known dust storm events. Man-made air pollution is able to cause hazy conditions reducing the sight range. Since those air quality conditions became more and more frequent in Beijing recently, this paper focuses on the seasonal variability of the air quality during such haze episodes in relation to clear air situations. In order to find out the characteristics of airborne PM during haze episodes in different seasons as well as of the corresponding PM sources or air flow influences, a continuous one-year daily PM sampling from June 2010 till June 2011 was performed at the campus of the China University of Geoscience (Beijing). The inorganic elements, water-soluble ions, element carbon and organic carbon as well as levoglucosan, hopanes and PAHs were analyzed, respectively. Positive matrix factorization and back trajectory cluster analyses were applied and combined to identify and apportion sources. The results show that the main sources of particles during haze are secondary inorganic ions formations. Beyond that, different sources from season to season are obvious: biomass burning derived particles have high impact on summer and autumn haze, coal combustion is a major source for winter haze whereas mineral dust emissions are most prominent in spring haze. The sources of PM during clear days were dominated by mineral dust emissions and traffic. Nearby southerly industrial regions were found to be the main source areas of particles during haze in Beijing

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Cite This Article

SHEN, R., SCHÄFER, K., KREİS, J. S., SHAO, L., NORRA, S., KRAMAR, U., MİCHALKE, B., ABBASZADE, G., STREİBEL, T., ZİMMERMANN, R., EMEİS, S. (2018). Seasonal variability and source distribution of haze particles from a continuous one-year study in Beijing. Atmospheric Pollution Research, Cilt: 9 - Sayı: 4, 627–633. https://ajindex.com/articles/212564

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References (10)

Cao, J.J., Lee, S.C., Chow, J.C., Watson, J.G., Ho, K.F., Zhang, R.J., Jin, Z.D., Shen, Z.X., Chen, G.C., Kang, Y.M., Zou, S.C., Zhang, L.Z., Qi, S.H., Dai, M.H., Cheng, Y., Hu, K., 2007. Spatial and seasonal distributions of carbonaceous aerosols over China. J. Geophys. Res. Atmos. 112, D22S11. Chen, L.W., Chow, J.C., Doddridge, B.G., Dickerson, R.R., Ryan, W.F., Mueller, P.K., 2003. Analysis of a summertime PM2.5 and haze episode in the mid-Atlantic region. J. Air Waste Manage. Assoc. 53, 946–956.
Chen, Y., Schleicher, N., Chen, Y.Z., Chai, F.H., Norra, S., 2014. The influence of governmental mitigation measures on contamination characteristics of PM2.5 in Beijing. Sci. Total Environ. 490, 647–658.
Cheng, S.Y., Lang, J.L., Zhou, Y., Han, L.H., Wang, G., Chen, D.S., 2013. A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China. Atmos. Environ. 79, 308–316.
Chow, J.C., Watson, J.G., Chen, L.W.A., Chang, M.C.O., Robinson, N.F., Trimble, D., Kohl, S., 2007. The IMPROVE_A temperature protocol for thermal/optical carbon analysis: maintaining consistency with a long-term database. J. Air Waste Manage. Assoc. 57, 1014–1023.
Du, Z.Y., He, K.B., Cheng, Y., Duan, F.K., Ma, Y.L., Liu, J.M., Zhang, X.L., Zheng, M., Weber, R., 2014. A yearlong study of water-soluble organic carbon in Beijing I: sources and its primary vs. secondary nature. Atmos. Environ. 92, 514–521.
Draxler, R., Stunder, B., Rolph, G., Stein, A., Taylor, A., 2009. HYSPLIT4 User's Guide. El-Gayar, M.S., Abdelfattah, A.E., Barakat, A.O., 2002. Maturity-dependent geochemical markers of crude petroleums from Egypt. Pet. Sci. Technol. 20, 1057–1070.
Emeis, S., Schäfer, K., Münkel, C., 2008. Surface-based remote sensing of the mixing-layer height – a review. Meteorol. Z. 17, 621–630.
Fu, G.Q., Xu, W.Y., Yang, R.F., Li, J.B., Zhao, C.S., 2014. The distribution and trends of fog and haze in the North China Plain over the past 30 years. Atmos. Chem. Phys. 14 (21), 11949–11958.
Fromme, H., Lahrz, T., Hainsch, A., Oddoy, A., Piloty, M., Ruden, H., 2005. Elemental carbon and respirable particulate matter in the indoor air of apartments and nursery schools and ambient air in Berlin (Germany). Indoor Air 15, 335–341.
Gao, J.J., Tian, H.Z., Cheng, K., Lu, L., Wang, Y.X., Wu, Y., Zhu, C.Y., Liu, K.Y., Zhou, J.R., Liu, X.G., Chen, J., Hao, J.M., 2014. Seasonal and spatial variation of trace elements in multi-size airborn