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Radiocarbon Characterization study of Atmospheric PM2.5 in Beijing during the 2014 APEC Summit
Published online by Cambridge University Press: 15 August 2019
Abstract
Radiocarbon (14C) has become a unique and powerful tracer in source apportionment of atmospheric carbonaceous particles. In this study, the Asia Pacific Economic Cooperation summit (APEC) held in Beijing in 2014 was used as a demonstration to research the source apportionment of atmosphere PM2.5. We used a 200 kV single stage accelerator mass spectrometer recently completed at China Institute of Atomic Energy (CIAE). The PM2.5 samples related to above case were collected, and the characteristics of radiocarbon in organic carbon (OC) and elemental carbon (EC) in samples were analyzed using the AMS. The results show that the Before-APEC pollution emission mode is different from the During-APEC and After-APEC pollution emission modes. For Before-APEC, During-APEC and After-APEC, the average values of fossil carbon fraction of OC are 0.463, 0.431 and 0.615, respectively, and those of EC are 0.644, 0.561 and 0.687. The fossil source contributions of traffic activities using fossil fuels to OC and EC are 15.8 % and 21.9 %, respectively. The fossil source contributions of industrial activities to OC and EC are 38.0 % and 8.2 %, respectively. It is about 7–10 days that is needed to take to regenerate the PM2.5 pollution caused by human activities.
- Type
- Conference Paper
- Information
- Radiocarbon , Volume 61 , Issue 6: Radiocarbon 2018 Conference Proceedings Trondheim, Norway, June 17–22, 2018 Part 2 of 2 , December 2019 , pp. 1643 - 1652
- Copyright
- © 2019 by the Arizona Board of Regents on behalf of the University of Arizona
Footnotes
Selected Papers from the 23rd International Radiocarbon Conference, Trondheim, Norway, 17–22 June, 2018
References
REFERENCES
Anenberg, SC, Schwartz, J, Shindell, D, Amann, M, Faluvegi, G, Klimont, Z, Janssens-Maenhout, G, Pozzoli, L, Dingenen, RV, Vignati, E, et al. 2012. Global air quality and health co-benefits of mitigating near-term climate change through methane and black carbon emission controls. Environmental Health Perspectives 120(6):831–839.CrossRefGoogle ScholarPubMed
Beijing Municipal Environmental Protection Bureau. 2014. [accessed 2019 Jun 23]. http://www.bjepb.gov.cn/bjepb/324122/416697/index.html.Google Scholar
Bond, TC, Streets, DG, Yarber, KF, Nelson, SM, Woo, JH, Klimont, Z. 2004. A technology‐based global inventory of black and organic carbon emissions from combustion. Journal of Geophysical Research: Atmospheres 109(D14): 1149–1165.CrossRefGoogle Scholar
Bond, TC, Doherty, SJ, Fahey, DW, Forster, PM, Berntsen, T, DeAngelo, BJ, Flanner, MG, Ghan, S, Kärcher, B, Koch, D. 2013. Bounding the role of black carbon in the climate system: A scientific assessment. Journal of Geophysical Research: Atmospheres 118(11):5380–5552.Google Scholar
Cabada, JC, Pandis, SN, Subramanian, R, Robinson, AL, Polidori, A, Turpin, B. 2004. Estimating the secondary organic aerosol contribution to PM2.5 using the EC tracer method. Aerosol Science and Technology 38(S1):140–155.CrossRefGoogle Scholar
Cavalli, F, Viana, M, Yttri, KE, Genberg, J, Putaud, JP. 2010. Toward a standardised thermal-optical protocol for measuring atmospheric organic and elemental carbon: the EUSAAR protocol. Atmospheric Measurement Techniques 3:79–89.CrossRefGoogle Scholar
Central People’s Government of the People’s Republic of China. 2012. [accessed 2019 Jun 23]. http://www.gov.cn/zwgk/2012-12/05/content_2283152.htm.
Google Scholar
Central People’s Government of the People’s Republic of China. 2013. [accessed 2019 Jun 23]. http://www.gov.cn/zhengce/content/2013-09/13/content_4561.htm.
Google Scholar
Chan, CK, Yao, X. 2008. Air pollution in mega cities in China. Atmospheric Environment 42(1):1–42.10.1016/j.atmosenv.2007.09.003CrossRefGoogle Scholar
Chung, CE, Ramanathan, V, Decremer, D. 2012. Observationally constrained estimates of carbonaceous aerosol radiative forcing. Proceedings of the National Academy of Sciences 109(29):11624–11629.CrossRefGoogle ScholarPubMed
Hildemann, LM, Klinedinst, DB, Klouda, GA, Currie, LA, Cass, GR. 1994. Sources of urban contemporary carbon aerosol. Environmental Science & Technology 28(9):1565–1576.CrossRefGoogle ScholarPubMed
He, M, Bao, Y, Pang, Y, Li, K, Jiang, S, You, Q, Su, S, Hu, Y, Zhao, Q, Shen, H, Wang, X. 2019. A home-made 14C AMS system at CIAE. Nuclear Instruments and Methods in Physics Research B 438:214–217.10.1016/j.nimb.2018.03.035CrossRefGoogle Scholar
Kuang, BY, Lin, P, Huang, XHH, Yu, JZ. 2015. Sources of humic-like substances in the Pearl River Delta, China: positive matrix factorization analysis of PM 2.5 major components and source markers. Atmospheric Chemistry and Physics 15(4):1995–2008.CrossRefGoogle Scholar
Levin, I, Kromer, B. 2004. The tropospheric 14CO2 level in mid-latitudes of the Northern Hemisphere (1959–2003). Radiocarbon 46(3):1261–1272.10.1017/S0033822200033130CrossRefGoogle Scholar
Levin, I, Kromer, B, Hammer, S. 2013. Atmospheric Δ14CO2 trend in Western European background air from 2000 to 2012. Tellus B: Chemical and Physical Meteorology 65(1):20092.10.3402/tellusb.v65i0.20092CrossRefGoogle Scholar
Mahowald, N. 2011. Aerosol indirect effect on biogeochemical cycles and climate. Science 334(6057):794–796.CrossRefGoogle ScholarPubMed
Na, K, Sawant, AA, Song, C, Cocker, DR. III 2004. Primary and secondary carbonaceous species in the atmosphere of Western Riverside County, California. Atmospheric Environment 38(9):1345–1355.CrossRefGoogle Scholar
Pang, Y, He, M, Zhang, H, Yang, X, Shen, H, Zhao, Q, Wang, X, Yang, X, Jiang, S. 2017. Study of 14C sample preparation for low energy single stage AMS. Atomic Energy Science and Technology 51(10):1866–1873.Google Scholar
Qiao, T, Zhao, M, Xiu, G, Yu, J. 2015. Seasonal variations of water soluble composition (WSOC, Hulis and WSIIs) in PM1 and its implications on haze pollution in urban Shanghai, China. Atmospheric Environment 123:306–314.CrossRefGoogle Scholar