Single particle analysis of ambient aerosols in Shanghai during the World Exposition, 2010: two case studies

doi:10.1007/s11783-011-0355-x

Front Envir Sci Eng Chin

2011, Vol. 5

Issue (3) : 391-401 https://doi.org/10.1007/s11783-011-0355-x

RESEARCH ARTICLE

Single particle analysis of ambient aerosols in Shanghai during the World Exposition, 2010: two case studies

Shikang TAO¹, Xinning WANG¹, Hong CHEN¹, Xin YANG^1,2(

), Mei LI³, Lei LI³, Zhen ZHOU³

1. Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; 2. Research Institute for Changing Global Environment, Fudan University, Shanghai 200433, China; 3. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China

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Abstract

A TSI Model 3800 aerosol time-of-flight mass spectrometer (ATOFMS) was deployed for single-particle analysis in Shanghai during the World Exposition (EXPO), 2010. Measurements on two extreme cases: polluted day (1st May) and clean day (25th September) were compared to show how meteorological conditions affected the concentration and composition of ambient aerosols. Mass spectra of 90496 and 50407 particles were analyzed respectively during the two sampling periods. The ART-2a neural network algorithm was applied to sort the collected particles. Seven major classes of particles were obtained: dust, sea salt, industrial, biomass burning, organic carbon (OC), elementary carbon (EC), and NH₄-rich particles. Number concentration of ambient aerosols showed a strong anti-correlation with the boundary layer height variation. The external mixing states of aerosols were quite different during two sampling periods because of different air parcel trajectories. Number fraction of biomass burning particles (43.3%) during polluted episode was much higher than that (21.6%) of clean time. Air parcels from the East China Sea on clean day diluted local pollutant concentration and increased the portion of sea salt particle dramatically (13.3%). The large contribution of biomass burning particles in both cases might be an indication of a constant regional background of biomass burning emission. Mass spectrum analysis showed that chemical compositions and internal mixing states of almost all the particle types were more complicate during polluted episode compared with those observed in clean time. Strong nitrate signals in the mass spectra suggested that most of the particles collected on polluted day had gone through some aging processes before reaching the sampling site.

Keywords ambient aerosol aerosol time-of-flight mass spectrometer Shanghai world exposition

Corresponding Author(s): YANG Xin,Email:yangxin@fudan.edu.cn

Issue Date: 05 September 2011

Cite this article:

Xinning WANG,Hong CHEN,Xin YANG, et al. Single particle analysis of ambient aerosols in Shanghai during the World Exposition, 2010: two case studies[J]. Front Envir Sci Eng Chin, 2011, 5(3): 391-401.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-011-0355-x
https://academic.hep.com.cn/fese/EN/Y2011/V5/I3/391

Fig.1 Hourly averaged temperature and relative humidity during two sampling periods: (a) 30th April to 1st May; (b) 25th September (http://www.wunderground.com)

Fig.2 24 h back trajectories of air parcels arriving at sampling site on 1st May (a) and 25th September 2010 (b) (http://www.arl.noaa.gov)

Fig.3 Hourly averaged boundary layer height during two sampling periods: (a) 18:00 30th April–20:00 1st May; (b) 8:00-22:00 25th September (http://www.arl.noaa.gov)

Fig.4 Air pollution index (API) on 1st May 2010 and 25th September 2010 released by Shanghai Environmental Protection Bureau (http://www.envir.gov.cn)

Tab.1 Number fraction of each classified particle type on 1st May and 25th September, 2010

Fig.5 Hourly resolved number fractions of major particle types during two sampling periods: (a) 18:00 30th April–20:00 1st May; (b) 8:00-22:00 25th September

Fig.6 Size resolved number fractions of major particle types on 1st May (a) and 25th September (b)

Fig.7 Size segregated chemical composition of detected ambient aerosols on 1st May (a) and 25th September (b)

Fig.8 Averaged mass spectra of the major particle types on 1st May

Fig.9 Averaged mass spectra of the major particle types on 25th September

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