Aerosol chemistry and particle growth events at an urban downwind site in North China Plain
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Published:2018-10-12
Issue:19
Volume:18
Page:14637-14651
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Zhang Yingjie, Du WeiORCID, Wang YuyingORCID, Wang Qingqing, Wang Haofei, Zheng Haitao, Zhang Fang, Shi Hongrong, Bian YuxuanORCID, Han Yongxiang, Fu PingqingORCID, Canonaco Francesco, Prévôt André S. H., Zhu TongORCID, Wang Pucai, Li ZhanqingORCID, Sun YeleORCID
Abstract
Abstract. The North China Plain (NCP) has experienced frequent severe haze pollution
events in recent years. While extensive measurements have been made in
megacities, aerosol sources, processes, and particle growth at urban downwind
sites remain less understood. Here, an aerosol chemical speciation monitor
and a scanning mobility particle sizer, along with a suite of collocated
instruments, were deployed at the downwind site of Xingtai, a highly polluted
city in the NCP, for real-time measurements of submicron aerosol (PM1)
species and particle number size distributions during May and June 2016. The
average mass concentration of PM1 was 30.5 (±19.4) µg m−3, which is significantly lower than that during
wintertime. Organic aerosols (OAs) constituted the major fraction of PM1
(38 %), followed by sulfate (25 %) and nitrate (14 %). Positive
matrix factorization with the multilinear engine version 2 showed that
oxygenated OA (OOA) was the dominant species in OA throughout the study, on
average accounting for 78 % of OA, while traffic and cooking emissions
both accounted for 11 % of OA. Our results highlight that aerosol
particles at the urban downwind site were highly aged and mainly from
secondary formation. However, the diurnal cycle also illustrated the
substantial influence of urban emissions on downwind sites, which are
characterized by similar pronounced early morning peaks for most aerosol
species. New particle formation and growth events were also frequently
observed (58 % of the time) on both clean and polluted days. Particle
growth rates varied from 1.2 to 4.9 nm h−1 and our results showed that
sulfate and OOA played important roles in particle growth during clean
periods, while OOA was more important than sulfate during polluted events.
Further analyses showed that particle growth rates have no clear dependence
on air mass trajectories.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference52 articles.
1. Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V., Kondo, Y., Liao, H., and Lohmann, U.: Clouds and Aerosols:
in: Climate Change 2013: The Physical Science Basis Contribution of Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Tignor, M., Allen, S. K., Boschung, J., Nauels,
A., Xia, Y., Bex, V., Midgley, P. M., Cambridge University Press, Cambridge,
UK, New York, NY, USA, 2013. 2. Canonaco, F., Crippa, M., Slowik, J. G., Baltensperger, U., and
Prévôt, A. S. H.: SoFi, an IGOR-based interface for the efficient use
of the generalized multilinear engine (ME-2) for the source apportionment:
ME-2 application to aerosol mass spectrometer data, Atmos. Meas. Tech., 6,
3649–3661, https://doi.org/10.5194/amt-6-3649-2013, 2013. 3. Chen, Y., Ebenstein, A., Greenstone, M., and Li, H.: From the cover: evidence
on the impact of sustained exposure to air pollution on life expectancy from
China's Huai River policy, P. Natl. Acad. Sci. USA, 110, 12936–12941, 2013. 4. Crippa, M., DeCarlo, P. F., Slowik, J. G., Mohr, C., Heringa, M. F., Chirico,
R., Poulain, L., Freutel, F., Sciare, J., Cozic, J., Di Marco, C. F.,
Elsasser, M., Nicolas, J. B., Marchand, N., Abidi, E., Wiedensohler, A.,
Drewnick, F., Schneider, J., Borrmann, S., Nemitz, E., Zimmermann, R.,
Jaffrezo, J.-L., Prévôt, A. S. H., and Baltensperger, U.: Wintertime
aerosol chemical composition and source apportionment of the organic fraction
in the metropolitan area of Paris, Atmos. Chem. Phys., 13, 961–981,
https://doi.org/10.5194/acp-13-961-2013, 2013. 5. Crippa, M., Canonaco, F., Lanz, V. A., Äijälä, M., Allan, J. D.,
Carbone, S., Capes, G., Ceburnis, D., Dall'Osto, M., Day, D. A., DeCarlo, P.
F., Ehn, M., Eriksson, A., Freney, E., Hildebrandt Ruiz, L., Hillamo, R.,
Jimenez, J. L., Junninen, H., Kiendler-Scharr, A., Kortelainen, A.-M.,
Kulmala, M., Laaksonen, A., Mensah, A. A., Mohr, C., Nemitz, E., O'Dowd, C.,
Ovadnevaite, J., Pandis, S. N., Petäjä, T., Poulain, L., Saarikoski,
S., Sellegri, K., Swietlicki, E., Tiitta, P., Worsnop, D. R., Baltensperger,
U., and Prévôt, A. S. H.: Organic aerosol components derived from 25
AMS data sets across Europe using a consistent ME-2 based source
apportionment approach, Atmos. Chem. Phys., 14, 6159–6176,
https://doi.org/10.5194/acp-14-6159-2014, 2014.
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