Next Article in Journal
On the Increasing Importance of Air-Sea Exchanges in a Thawing Arctic: A Review
Next Article in Special Issue
Influence of Common Assumptions Regarding Aerosol Composition and Mixing State on Predicted CCN Concentration
Previous Article in Journal
Prediction of Wind Environment and Indoor/Outdoor Relationships for PM2.5 in Different Building–Tree Grouping Patterns
Previous Article in Special Issue
Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Atmosphere
Volume 9
Issue 2
10.3390/atmos9020040
atmosphere-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Physicochemical Characteristics of Individual Aerosol Particles during the 2015 China Victory Day Parade in Beijing

by
Wenhua Wang
,
Longyi Shao
*,
Jiaoping Xing
,
Jie Li
,
Lingli Chang
and
Wenjun Li
State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
*
Author to whom correspondence should be addressed.
Atmosphere 2018, 9(2), 40; https://doi.org/10.3390/atmos9020040
Submission received: 17 December 2017 / Revised: 22 January 2018 / Accepted: 23 January 2018 / Published: 25 January 2018
(This article belongs to the Special Issue Morphology and Internal Mixing of Atmospheric Particles)
Browse Figures
Versions Notes

Abstract

:
During the 2015 China Victory Day parade control periods, the air quality in Beijing hit the best record, leading to 15 continuous good days with an average PM2.5 mass concentration 18 μg/m3, which provided a unique opportunity to study the ambient aerosols in megacity Beijing. The morphology and elemental composition of aerosol particles were investigated by transmission electron microscopy coupled with energy dispersive X-ray spectrometry (TEM-EDX). Five types of individual particles were identified, including homogeneous mixed S-rich particles (HS; 44.9%), organic coated S-rich particles (CS; 34.3%), mineral particles (10.5%), soot aggregates (7.21%) and organic particles (3.2%). The number percentage of secondary particles (including HS and CS) accounted for a large proportion with 79.2% during the control periods. The average diameter of secondary particles increased with relative humidity (RH), being 323 nm, 358 nm and 397 nm at the RH 34%, 43% and 53%, respectively, suggesting that the high RH might favor the growth of secondary particles. The higher proportion of CS particles may show great atmospheric implications and the CS particles may be formed by the condensation of secondary organic aerosols on pre-existing S-rich particles.

1. Introduction

Atmospheric aerosols, both derived from anthropogenic and natural sources, are composed of various kinds of organic and inorganic species. They have received much attention in megacities in China because they are involved in a multitude of climate and environmental issues [1]. Air pollution can cause a great impact on human health, such as respiratory and cardiovascular problems due to their association with toxic matters [2,3]. Aerosol particles can influence atmospheric chemistry because they can act as a medium for heterogeneous reactions. They can also change the climate indirectly by cloud condensation nuclei (CCN) activity and ice nuclei activity [4,5] and directly through light absorption and scattering [6,7]. Various anthropogenic aerosols can undergo long-rang transport, which can cause a regional and global environmental problem [8].
Recently, China has experienced serious atmospheric pollution due to rapid social and economic development, similar to that in developed nations [1]. The air pollution is characterized by high PM2.5 mass concentration, frequent occurrences of haze days, expanded haze areas, and increased duration of a single haze event [7,9,10,11,12]. For example, extremely severe and persistent air pollution occurred in China during January 2013, with more than 1.3 million km2 and 800 million people being affected [1]. Air pollution has been a concern for decades.
The tropospheric aerosol is a heterogeneous mixture of various particle types. Detailed knowledge of the chemical composition, physical state, morphology and size of individual aerosol particles should be known to fully understand the formation mechanism of regional haze episodes and to accurately predict the climate effects [13,14]. A high-resolution transmission electron microscopy (TEM) can be used to investigate the composition, morphology and mixing state of individual aerosol particles.
Understanding the relationship between source emissions and aerosol chemistry is important for mitigating air pollution in megacities [15]. In order to guarantee good air quality during some specific events, e.g., the Beijing Olympic Games in 2008 [16] and the Asia-pacific Economic Cooperation summit (APEC) in 2014 [17], the municipal government launched strong environmental control measures in Beijing and its surrounding areas, which provided some special experimental opportunities to study the impacts of source emission controls on air quality and the physicochemical properties of aerosol particles during clean-up control period. Similarly, a series of temporary control measures, including stopping construction activities, shutting down power plants and factories, limiting the number of vehicles on road and prohibiting outdoor barbecues, were implemented in Beijing and surrounding regions from 20 August to 3 September to ensure good air quality during the 2015 China Victory Day parade [15]. As a result, the air quality hit the best record in Beijing, leading to 15 continuous good days; the average PM2.5 mass concentration was 18 μg/m3 during the control period, with a 73.1% reduction compared with the same period in 2014 (http://www.gov.cn/xinwen/2015-09/07/content_2926447.htm). In this study, the characteristics of individual aerosol particles during the 2015 China Victory Day parade were analyzed by a high resolution TEM.

2. Experimental

2.1. Aerosol Sampling

The sampling site was located at China University of Mining & Technology, northwestern part of urban Beijing which is surrounded by commercial buildings and residential apartments. The sampler was placed on the top floor of a five-story teaching building. Cooper TEM grids coated with carbon film (300-mesh copper, Tianld Co., Beijing, China) were used to collect the aerosol samples. A single-stage cascade impactor with a 0.5 mm diameter jet nozzle and an air flow of 1.0 L/min was applied. The collection efficiency of this kind of sampler is close to 100% on a 0.5 μm aerodynamic diameter if the particle density is 2 g/cm3 [18]. To avoid the particle overlapping on subtracts, the sampling time ranged from 60 to 90 s. A kestral 4000 pocket weather meter (Nielsen-kellermann Inc., Boothwyn, PA, USA) was simultaneously applied to record the RH, temperature (T) and pressure (P). All collected samples were placed in dry and sealed plastic tubes and stored in a desiccator of 25 °C and 20 ± 3% RH to avoid exposure to ambient air before laboratory analysis [19]. The sample information is shown in Table 1.

2.2. TEM Analysis

Individual aerosol samples were analyzed by TEM (Hitachi H-8100, Hitachi, Ltd., Tokyo, Japan) with an accelerate voltage of 200 kV. Elemental composition was semi-quantitatively determined by energy-dispersive X-ray spectrometer (EDX) with a spectral acquisition time of ~30 s and elements heavier than C (Z ≥ 6) can be detected [20]. Copper (Cu) was not included from our analysis because the TEM grids were made of Cu. The distribution of aerosol particles on TEM grids was not even with coarser particles in the center and finer particles in the periphery. Therefore, three areas of each sample were selected from the center to the periphery to ensure representative data. An image analysis software (Leica Microsystems Image Solutions Ltd, Cambridge, UK) was used to obtain the equivalent circle diameter of particles [21]. A total of 810 individual particles were analyzed.

3. Results

3.1. Nature of Individual Aerosol Particles

TEM-EDX can be used to adequately characterize the individual aerosol particles. Based on their possible sources, we classified the aerosol particles into two groups: primary and secondary particles, which were further classified into five types as shown in Table 2. The primary particle group included soot, organic and mineral particles. The secondary particles included homogeneous mixed S-rich particles (HS) and organic coated S-rich particles (CS).
Most of the mineral particles are irregularly shaped and tend to have a larger diameter than other particle types as shown in Figure 1a,b. Their elemental compositions are complex, consisting of O, Si, Al, Fe, Ca, Na, K, Mg and S. Mineral particles are mainly from suspension of soil, road dust, and construction dust. They can be also sourced from desert dust and undergo long rang transport [22]. Mineral particles are stable under strong electron beam irradiation.
Soot aggregates contain numbers of C-dominated spheres with diameter less than 100 nm (Figure 1e,f). High magnification TEM images demonstrate that typical soot spheres display the onion-like structures with disordered graphitic layers as shown in Figure 1g. They are from incomplete combustion of fossil fuels and other materials [23].
Organic particles show higher O proportion than soot aggregates, though they are both dominated by C and O. Organic particles lack onion-like structure under high magnification TEM images, compared with soot particles. Most of the organic particles in this study are spherical or near spherical shaped. Li and Shao suggest that the primary organic particles normally have a spherical or irregular shape [24]. They are from combustion sources.
Different from primary particle types, the secondary particles are beam-sensitive when exposed to several seconds of beam irradiation. These secondary particles are mainly composed of element C, O, S and minor N and are defined as S-rich particles [18,20]. We infer that they indeed are mixtures of sulfate, nitrate, and/or organic matter (OM) in the atmosphere [18]. Although the secondary particles have similar elemental compositions, they show different mixing states and thus are further classified into HS and CS particles.
HS particles are foam-like as shown in Figure 2a,b. Although they are not strictly evenly distributed, we term these particles as homogeneous mixed S-rich particles (HS). Although HS particles look similar in the TEM images, they may display different optical and/or hygroscopic properties because of their mass fractions of sulfate, OM, and/or nitrate [22]. Apart from HS particles, we also find some secondary particles with organic coating. These core-shell particles clearly show an uneven surface, as shown in Figure 2c,d. When exposed to electron beam irradiation, the core disappeared, leaving some residues and an obvious shell structure as shown in Figure 2e,f. The organic shell and inorganic core have been certified by using a nanometer-scale secondary ion mass spectrometer (Nano-SIMS) according to Li et al. [25].

3.2. Relative Number Percentage and Size Distribution

A total of 810 individual aerosol particles (336 for A, 246 for B and 228 for C) were analyzed in this study. Figure 3 shows the relative number percentage of individual aerosol particles. The results showed that there was a large proportion of secondary particles because of the strict emission control measures. During the 2015 China Victory Day parade control periods, HS particles and CS particles represent the major fraction with 44.9% and 34.3%, respectively, followed by mineral particles (10.5%), soot aggregates (7.21%) and organic particles (3.2%; Figure 3). Soot aggregates and organic particles show relative lower number percentage. It is consistent with Wang et al. [26], who reported that both the primary organic carbon and elemental carbon had the relative lower proportion during the control period.
Equivalent circle diameter of secondary particles were obtained according to the image analysis software (Leica, UK). Number-size distributions of 639 secondary particles (including HS and CS particles) ranged from 0.1 to 1.0 μm are shown in Figure 4. The average diameter of secondary particles increases with RH, being 323 nm, 358 nm and 397 nm at the RH 34%, 43% and 53%, respectively. In addition, with the increase of RH, the peak shifts to the right side of the coordinate, suggesting that the high RH can favor the growth of secondary particles.

4. Discussion and Atmospheric Implication

4.1. Influence of RH on Secondary Particle Formation

The secondary particles showed a higher proportion in number, accounting for 79.2%. This is consistent with Zhao et al., who reported that the primary species showed relatively more reductions (55–67%) than secondary aerosol species (33–44%) during the control periods [15]. The HS particles are the major fraction of aerosol particles and they increase with the increasing of RH, being 32.4%, 38.6% and 64.6% at RH 34%, 43% and 53%, respectively. The formation of S-rich particles might be affected by a number of factors. The wind direction is mainly from the southern part and the wind speed is comparable during our sampling time in Beijing [27]. The average hourly ozone concentration is 77, 51 and 74 μg/m3, for samples A, B and C, respectively (https://www.aqistudy.cn/). Both the wind and ozone concentration showed no obvious correlation with the relative number percentage of HS particles. So, we suggest that high RH can favor the formation of HS particles. This is consistent with a previous study by Wang et al. in Beijing during the pollution periods that the S-rich particles were correlated with RH [28].
Water can be a major component of aerosol particles, and serves as a medium for aqueous-phase reactions [29]. Uptake of water by atmospheric particles modifies the mass of the aerosol particle and increases the particle size [30,31]. Previous studies have shown that particle diameter increases with increasing RH [32]. For example, experimental study demonstrated that when exposed to SO2, NO2, and NH3, the growth factor of the seed particles increased with RH, with the values of near unity at RH < 20% and 2.3 at 70% RH [33]. We admit that the particles collected by impaction may potentially be flattened and the secondary particles at different RH might show different viscosity [34], having different flattened ability. However, the larger secondary particles in the atmosphere will generally have a larger flatten size on the filter. Therefore, the absolute diameter of the flattened particles may be different from the diameter of the particles in the atmosphere, but the increasing sizes for the impacted particles should represent the increasing trend of the particle diameters in atmosphere. Figure 4 showed that the average diameter of secondary particles increased with the increasing of RH, suggesting that higher RH can favor the growth of secondary particles. Our result is consistent with previous “bulk” sample analysis, which reported the higher RH promotes the secondary particle formation. For example, Wang et al. found the conversion of SO2 to SO42− not only contributes to the high production rate, but also enhances formations of NO3− and SOA on aqueous particles because of increasing particle hygroscopicity [33]. Liu et al. found that sulfates, together with nitrates, significantly contribute to wintertime air pollution in Beijing and suggested that the sulfate is due to heterogeneous reaction with abundant aerosol water under wet conditions [35].

4.2. Atmospheric Implication of CS Particles

The CS particles accounted for a large proportion with 34.3% in our samples. Core-shell morphology is prevalent configuration of tropospheric particles. They were also found in other sampling sites, but showed proportional difference; there are proportionally higher CS particles in mountain Tai, Greater Khingan and rural background sampling site, but less in urban and suburban-polluted air in Beijing and no CS particles in biomass and coal burning sourced particles [18].
When the atmospheric S-rich particles are coated with OM, they can lead to important implications for a wide range of climate-relevant endpoints as well as air quality predictions. The OM coating can change a host particle’s early hygroscopic properties [36,37]. They can influence the RH at which crystallization and dissolution of sulfate solids occur in atmospheric particles [38], change the partitioning of semi volatile organic compounds between the gas and particle phase [39,40], and alter the scattering and absorption of solar radiation. In atmospheric chemistry, the heterogeneous reactions of gas-phase species (such as ozone or N2O5) on the surface of aerosol particles play an important role in the removal of species that affect the oxidative balance of the atmosphere [41]. If the ammonium sulfate is surrounded by the organic-rich phase, the N2O5 uptake may be reduced effectively influenced by the hygroscopicity and viscosity of the organic shell [42], leading to the increased concentrations of gas-phase NO3 and N2O5 and changing the mixing ratios of N2O5, NO3, particle phase nitrate, and volatile organic compounds [43].

4.3. Possible Phase Transformation of CS Particles

Secondary aerosols, formed by gas-to-particle phase conversion, account for a large proportion of total particles in our samples (Figure 3). The formation mechanism of the organic coated S-rich particles remains with some uncertainties. They may be formed by liquid-liquid phase separation under the various RH from high to low values [44] or by condensation of secondary organic compounds on the pre-existing inorganic aerosols [18,45].
Some researchers suggest that the well mixed secondary particles may undergo liquid-liquid phase separation under a lower RH, and the process would change the particles into the core-shell structures, typified by an organic core and an inorganic shell. For example, various “bulk” sample analyses conducted in the laboratory have confirmed the liquid-liquid phase separation do exist for the secondary particles [41,46,47]. The presence of the organic core and inorganic shell in individual particles have been confirmed in the laboratory by using optical microscopy and Raman spectroscopy [38,41,42], atomic force microscopy with infrared spectroscopy [48], and environmental scanning electron microscopy and scanning transmission X-ray microscopy [49].
However, previous studies have demonstrated that the liquid-liquid phase separation is not observed for the organic species having O/C ratio greater than 0.8 [44]. The average O/C ratios of secondary organic aerosols ranged from 0.84 to 1.0, higher than 0.8, during the control periods [15]. The higher O/C ratios of secondary organic aerosols during our sampling periods will not favor the Liquid-liquid phase separation process.
Hou et al. noticed that the secondary S-rich particles can be coated with the secondary organic aerosols, and that the thickness of the organic coatings will increase with the particle’s aging [45]. During the control period, the organic aerosols accounted for a larger proportion in the total particles, and they were mostly secondary organic aerosols [26]. Therefore, we believe that the CS particles collected during the control periods were formed by the condensation of secondary organic compounds on pre-existing S-rich particles, instead of liquid-liquid phase separation. When the RH increases, the liquid-liquid mixing may occur on the CS particles again, forming a HS particle.

5. Conclusions

During the 2015 China Victory Day parade control periods, individual aerosol particles were analyzed. Based on the morphologies and elemental compositions, five types of individual particles were identified, which were further classified into two groups, including primary particles (mineral particles, soot aggregates, organic particles) and secondary particles (HS particles and CS particles). Among the 810 individual particles, secondary particles accounted for a large proportion at 79.2%. HS and CS particles were predominant with 44.9% and 34.3%, respectively, followed by mineral particles (10.5%), soot aggregates (7.2%) and organic particles (3.2%).
The average diameter of secondary particles increases with RH, being 323 nm, 358 nm and 397 nm at the RH 34%, 43% and 53%, respectively, suggesting that the high RH favor the growth of secondary particles. The CS particles may be formed by the condensation of secondary organic aerosols on pre-existing S-rich particles under the lower RH in this study.

Acknowledgments

This work was supported by the Projects of International Cooperation and Exchanges NSFC (Grant No. 41571130031) and National Basic Research Program of China (Grant No. 2013CB228503).

Author Contributions

Longyi Shao and Wenhua Wang conceived and designed the experiments; Wenhua Wang, Jie Li and Lingli Chang performed the experiments; Jiaoping Xing and Wenjun Li analyzed the data; Wenhua Wang and Longyi Shao wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Huang, R.J.; Zhang, Y.; Bozzetti, C.; Ho, K.F.; Cao, J.J.; Han, Y.; Daellenbach, K.R.; Slowik, J.G.; Platt, S.M.; Canonaco, F.; et al. High secondary aerosol contribution to particulate pollution during haze events in China. Nature 2014, 514, 218–222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. West, J.J.; Cohen, A.; Dentener, F.; Brunekreef, B.; Zhu, T.; Armstrong, B.; Bell, M.L.; Brauer, M.; Carmichael, G.; Costa, D.L.; et al. What We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health. Environ. Sci. Technol. 2016, 50, 4895–4904. [Google Scholar] [CrossRef] [PubMed]
  3. Shao, L.Y.; Hu, Y.; Shen, R.; Schäfer, K.; Wang, J.; Wang, J.; Schnelle-Kreis, J.; Zimmermann, R.; BéruBé, K.; Suppan, P. Seasonal variation of particle-induced oxidative potential of airborne particulate matter in Beijing. Sci. Total Environ. 2017, 579, 1152–1160. [Google Scholar] [CrossRef] [PubMed]
  4. Planche, C.; Mann, G.W.; Carslaw, K.S.; Dalvi, M.; Marsham, J.H.; Field, P.R. Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain. Atmos. Chem. Phys. 2017, 17, 3371–3384. [Google Scholar] [CrossRef]
  5. Phillips, V.T.J.; DeMott, P.J.; Andronache, C. An empirical parameterization of heterogeneous ice nucleation for multiple chemical species of aerosol. J. Atmos. Sci. 2008, 65, 2757–2783. [Google Scholar] [CrossRef]
  6. Chen, B.; Zhu, Z.; Wang, X.; Andersson, A.; Chen, J.; Zhang, Q.; Gustafsson, Ö. Reconciling modeling with observations of radiative absorption of black carbon aerosols. J. Geophys. Res. Atmos. 2017, 122, 5932–5942. [Google Scholar] [CrossRef]
  7. Tao, J.; Zhang, L.; Ho, K.; Zhang, R.; Lin, Z.; Zhang, Z.; Lin, M.; Cao, J.; Liu, S.; Wang, G. Impact of PM2.5 chemical compositions on aerosol light scattering in Guangzhou—The largest megacity in South China. Atmos. Res. 2014, 135, 48–58. [Google Scholar] [CrossRef]
  8. Heald, C.L.; Jacob, D.J.; Park, R.J.; Alexander, B.; Fairlie, T.D.; Yantosca, R.M.; Chu, D.A. Transpacific transport of Asian anthropogenic aerosols and its impact on surface air quality in the United States. J. Geophys. Res. Atmos. 2006, 111, D14. [Google Scholar] [CrossRef]
  9. Ma, Q.X.; Wu, Y.; Zhang, D.; Wang, X.; Xia, Y.; Liu, X.; Tian, P.; Han, Z.; Xia, X.; Wang, Y. Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing. Sci. Total Environ. 2017, 599, 246–253. [Google Scholar] [CrossRef] [PubMed]
  10. Zhang, X.Y.; Wang, Y.Q.; Niu, T.; Zhang, X.C.; Gong, S.L.; Zhang, Y.M.; Sun, J.Y. Atmospheric aerosol compositions in China: Spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols. Atmos. Chem. Phys. 2012, 12, 779–799. [Google Scholar] [CrossRef] [Green Version]
  11. Zhang, F.; Wang, L.; Yang, J.; Chen, M.; Wei, Z.; Su, J. The characteristics of air pollution episodes in autumn over the southern Hebei, China. World J. Eng. 2015, 12, 221–236. [Google Scholar] [CrossRef]
  12. Niu, H.; Cheng, W.; Pian, W.; Hu, W. The physicochemical properties of submicron particles from emissions of industrial furnace. World J. Eng. 2016, 13, 218–224. [Google Scholar] [CrossRef]
  13. Posfai, M.; Buseck, P.R. Nature and Climate Effects of Individual Tropospheric Aerosol Particles. Rev. Earth Planet. Sci. 2010, 38, 17–43. [Google Scholar] [CrossRef]
  14. Liu, S.; Aiken, A.C.; Gorkowski, K.; Dubey, M.K.; Cappa, C.D.; Williams, L.R.; Herndon, S.C.; Massoli, P.; Fortner, E.C.; Chhabra, P.S.; et al. Enhanced light absorption by mixed source black and brown carbon particles in UK winter. Nat. Commun. 2015, 6, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Zhao, J.; Du, W.; Zhang, Y.; Wang, Q.; Chen, C.; Xu, W.; Han, T.; Wang, Y.; Fu, P.; Wang, Z.; et al. Insights into aerosol chemistry during the 2015 China Victory Day parade: Results from simultaneous measurements at ground level and 260 m in Beijing. Atmos. Chem. Phys. 2017, 17, 3215–3232. [Google Scholar] [CrossRef]
  16. Wang, T.; Nie, W.; Gao, J.; Xue, L.K.; Gao, X.M.; Wang, X.; Qiu, J.; Poon, C.N.; Meinardi, S.; Blake, D.; Wang, S.L. Air quality during the 2008 Beijing Olympics: Secondary pollutants and regional impact. Atmos. Chem. Phys. 2010, 10, 7603–7615. [Google Scholar] [CrossRef]
  17. Chen, C.; Sun, Y.L.; Xu, W.Q.; Du, W.; Zhou, L.B.; Han, T.T.; Wang, Q.Q.; Fu, P.Q.; Wang, Z.F.; Gao, Z.Q.; et al. Characteristics and sources of submicron aerosols above the urban canopy (260 m) in Beijing, China, during the 2014 APEC summit. Atmos. Chem. Phys. 2015, 15, 12879–12895. [Google Scholar] [CrossRef]
  18. Li, W.J.; Sun, J.; Xu, L.; Shi, Z.; Riemer, N.; Sun, Y.; Fu, P.; Zhang, J.; Lin, Y.; Wang, X.; et al. A conceptual framework for mixing structures in individual aerosol particles. J. Geophys. Res. Atmos. 2016, 121, 13784–13798. [Google Scholar] [CrossRef]
  19. Li, W.J.; Shao, L.Y. Characterization of mineral particles in winter fog of Beijing analyzed by TEM and SEM. Environ. Monit. Assess. 2010, 161, 565–573. [Google Scholar] [CrossRef] [PubMed]
  20. Xu, L.; Liu, L.; Zhang, J.; Zhang, Y.; Ren, Y.; Wang, X.; Li, W. Morphology, composition, and mixing state of individual aerosol particles in Northeast China during wintertime. Atmosphere 2017, 8, 10. [Google Scholar] [CrossRef]
  21. Xing, J.P.; Shao, L.; Zheng, R.; Peng, J.; Wang, W.; Guo, Q.; Wang, Y.; Qin, Y.; Shuai, S.; Hu, M. Individual particles emitted from gasoline engines: Impact of engine types, engine loads and fuel components. J. Clean. Prod. 2017, 149, 461–471. [Google Scholar] [CrossRef]
  22. Li, W.J.; Shao, L.; Zhang, D.; Ro, C.U.; Hu, M.; Bi, X.; Geng, H.; Matsuki, A.; Niu, H.; Chen, J. A review of single aerosol particle studies in the atmosphere of East Asia: Morphology, mixing state, source, and heterogeneous reactions. J. Clean. Prod. 2016, 112, 1330–1349. [Google Scholar] [CrossRef]
  23. China, S.; Scarnato, B.; Owen, R.C.; Zhang, B.; Ampadu, M.T.; Kumar, S.; Dzepina, K.; Dziobak, M.P.; Fialho, P.; Perlinger, J.A.; et al. Morphology and mixing state of aged soot particles at a remote marine free troposphere site: Implications for optical properties. Geophys. Res. Lett. 2015, 42, 1243–1250. [Google Scholar] [CrossRef]
  24. Li, W.J.; Shao, L.Y. Mixing and water-soluble characteristics of particulate organic compounds in individual urban aerosol particles. J. Geophys. Res. Atmos. 2010, 115, 9. [Google Scholar] [CrossRef]
  25. Ghosal, S.; Weber, P.K.; Laskin, A. Spatially resolved chemical imaging of individual atmospheric particles using nanoscale imaging mass spectrometry: Insight into particle origin and chemistry. Anal. Methods 2014, 6, 2444–2451. [Google Scholar] [CrossRef]
  26. Wang, Y.; Xue, Y.; Tian, H.; Gao, J.; Chen, Y.; Zhu, C.; Liu, H.; Wang, K.; Hua, S.; Liu, S.; et al. Effectiveness of temporary control measures for lowering PM2.5 pollution in Beijing and the implications. Atmos. Environ. 2017, 157, 75–83. [Google Scholar] [CrossRef]
  27. Wang, Z.S.; Li, Y.T.; Zhang, D.W.; Chen, T.; Wei, Q.; Sun, T.H.; Wang, B.Y.; Pan, J.X.; Cui, J.X.; Pi, S. Analysis on air quality in Beijing during the military parade period in 2015. China Environ. Sci. 2017, 37, 1628–1636. (In Chinese) [Google Scholar]
  28. Wang, W.; Shao, L.; Guo, M.; Hou, C.; Xing, J.; Wu, F. Physicochemical properties of individual airborne particles in Beijing during pollution periods. Aerosol Air Qual. Res. 2017, 17, 3209–3219. [Google Scholar] [CrossRef]
  29. Bian, Y.X.; Zhao, C.S.; Ma, N.; Chen, J.; Xu, W.Y. A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain. Atmos. Chem. Phys. 2014, 14, 6417–6426. [Google Scholar] [CrossRef] [Green Version]
  30. Villani, P.; Sellegri, K.; Monier, M.; Laj, P. Influence of semi-volatile species on particle hygroscopic growth. Atmos. Environ. 2013, 79, 129–137. [Google Scholar] [CrossRef]
  31. Fajardo, O.A.; Jiang, J.K.; Hao, J.M. Continuous Measurement of Ambient Aerosol Liquid Water Content in Beijing. Aerosol Air Qual. Res. 2016, 16, 1152–1164. [Google Scholar] [CrossRef]
  32. Liu, Y.C.; Wu, Z.; Tan, T.; Wang, Y.; Qin, Y.; Zheng, J.; Li, M.; Hu, M. Estimation of the PM2.5 effective hygroscopic parameter and water content based on particle chemical composition: Methodology and case study. Sci. China-Earth Sci. 2016, 59, 1683–1691. [Google Scholar] [CrossRef]
  33. Wang, G.H.; Zhang, R.; Gomez, M.E.; Yang, L.; Zamora, M.L.; Hu, M.; Lin, Y.; Peng, J.; Guo, S.; Meng, J.; et al. Persistent sulfate formation from London Fog to Chinese haze. Proc. Natl. Acad. Sci. USA 2016, 113, 13630–13635. [Google Scholar] [CrossRef] [PubMed]
  34. Song, M.; Liu, P.F.; Hanna, S.J.; Li, Y.J.; Martin, S.T.; Bertram, A.K. Relative humidity-dependent viscosities of isoprene-derived secondary organic material and atmospheric implications for isoprene-dominant forests. Atmos. Chem. Phys. 2015, 15, 5145–5159. [Google Scholar] [CrossRef]
  35. Liu, Z.R.; Hu, B.; Zhang, J.; Yu, Y.; Wang, Y. Characteristics of aerosol size distributions and chemical compositions during wintertime pollution episodes in Beijing. Atmos. Res. 2016, 168, 1–12. [Google Scholar] [CrossRef]
  36. Semeniuk, T.A.; Wise, M.E.; Martin, S.T.; Russell, L.M.; Buseck, P.R. Water uptake characteristics of individual atmospheric particles having coatings. Atmos. Environ. 2007, 41, 6225–6235. [Google Scholar] [CrossRef]
  37. Davies, J.F.; Miles, R.E.; Haddrell, A.E.; Reid, J.P. Influence of organic films on the evaporation and condensation of water in aerosol. Proc. Natl. Acad. Sci. USA 2013, 110, 8807–8812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Song, M.J.; Marcolli, C.; Krieger, U.K.; Lienhard, D.M.; Peter, T. Morphologies of mixed organic/inorganic/aqueous aerosol droplets. Faraday Discuss. 2013, 165, 289–316. [Google Scholar] [CrossRef] [PubMed]
  39. Zuend, A.; Marcolli, C.; Peter, T.; Seinfeld, J.H. Computation of liquid-liquid equilibria and phase stabilities: Implications for RH-dependent gas/particle partitioning of organic-inorganic aerosols. Atmos. Chem. Phys. 2010, 10, 7795–7820. [Google Scholar] [CrossRef]
  40. Schill, G.P.; Tolbert, M.A. Heterogeneous ice nucleation on phase-separated organic-sulfate particles: Effect of liquid vs. glassy coatings. Atmos. Chem. Phys. 2013, 13, 4681–4695. [Google Scholar] [CrossRef]
  41. Stewart, D.J.; Cai, C.; Nayler, J.; Preston, T.C.; Reid, J.P.; Krieger, U.K.; Marcolli, C.; Zhang, Y.H. Liquid-Liquid Phase Separation in Mixed Organic/Inorganic Single Aqueous Aerosol Droplets. J. Phys. Chem. A 2015, 119, 4177–4190. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Song, M.; Marcolli, C.; Krieger, U.K.; Zuend, A.; Peter, T. Liquid-liquid phase separation and morphology of internally mixed dicarboxylic acids/ammonium sulfate/water particles. Atmos. Chem. Phys. 2012, 12, 2691–2712. [Google Scholar] [CrossRef]
  43. You, Y.; Renbaum-Wolff, L.; Carreras-Sospedra, M.; Hanna, S.J.; Hiranuma, N.; Kamal, S.; Smith, M.L.; Zhang, X.; Weber, R.J.; Shilling, J.E.; et al. Images reveal that atmospheric particles can undergo liquid-liquid phase separations. Proc. Natl. Acad. Sci. USA 2012, 109, 13188–13193. [Google Scholar] [CrossRef] [PubMed]
  44. You, Y.; Smith, M.L.; Song, M.; Martin, S.T.; Bertram, A.K. Liquid-liquid phase separation in atmospherically relevant particles consisting of organic species and inorganic salts. Int. Rev. Phys. Chem. 2014, 33, 43–77. [Google Scholar] [CrossRef]
  45. Hou, C.; Shao, L.; Hu, W.; Zhang, D.; Zhao, C.; Xing, J.; Huang, X.; Hu, M. Characteristics and aging of traffic-derived particles in a highway tunnel at a coastal city in southern China. Sci. Total Environ. 2018, 619, 1385–1393. [Google Scholar] [CrossRef]
  46. Marcolli, C.; Krieger, U.K. Phase changes during hygroscopic cycles of mixed organic/inorganic model systems of tropospheric aerosols. J. Phys. Chem. A 2006, 110, 1881–1893. [Google Scholar] [CrossRef] [PubMed]
  47. Hodas, N.; Zuend, A.; Mui, W.; Flagan, R.C.; Seinfeld, J.H. Influence of particle-phase state on the hygroscopic behavior of mixed organic-inorganic aerosols. Atmos. Chem. Phys. 2015, 15, 5027–5045. [Google Scholar] [CrossRef]
  48. Bondy, A.L.; Kirpes, R.M.; Merzel, R.L.; Pratt, K.A.; Banaszak Holl, M.M.; Ault, A.P. Atomic Force Microscopy-Infrared Spectroscopy of Individual Atmospheric Aerosol Particles: Subdiffraction Limit Vibrational Spectroscopy and Morphological Analysis. Anal. Chem. 2017, 89, 8594–8598. [Google Scholar] [CrossRef] [PubMed]
  49. O'Brien, R.E.; Wang, B.; Kelly, S.T.; Lundt, N.; You, Y.; Bertram, A.K.; Leone, S.R.; Laskin, A.; Gilles, M.K. Liquid-Liquid Phase Separation in Aerosol Particles: Imaging at the Nanometer Scale. Environ. Sci. Technol. 2015, 49, 4995–5002. [Google Scholar] [CrossRef] [PubMed]
Atmosphere 09 00040 g001 550
Figure 1. TEM images of primary individual particles: (a,b) mineral particles, (c) spherical organic particle, (d) near-spherical organic particle, (e) aged soot particle and (f) chain-like soot particle; (g) amplified soot spherical.
Figure 1. TEM images of primary individual particles: (a,b) mineral particles, (c) spherical organic particle, (d) near-spherical organic particle, (e) aged soot particle and (f) chain-like soot particle; (g) amplified soot spherical.
Atmosphere 09 00040 g001
Atmosphere 09 00040 g002 550
Figure 2. TEM images and elemental compositions of secondary particles: (a,b) HS particles, (c,d) CS particles, (e,f) images of (c,d) after electron beam exposure; (g,h) elemental compositions of (c,d).
Figure 2. TEM images and elemental compositions of secondary particles: (a,b) HS particles, (c,d) CS particles, (e,f) images of (c,d) after electron beam exposure; (g,h) elemental compositions of (c,d).
Atmosphere 09 00040 g002
Atmosphere 09 00040 g003 550
Figure 3. Relative number percentage of individual particles (Homogeneous mixed S-rich particles, HS; Core-shell structured S-rich particles, CS).
Figure 3. Relative number percentage of individual particles (Homogeneous mixed S-rich particles, HS; Core-shell structured S-rich particles, CS).
Atmosphere 09 00040 g003
Atmosphere 09 00040 g004 550
Figure 4. Size distributions of secondary particles at RH 34%, 43% and 53%.
Figure 4. Size distributions of secondary particles at RH 34%, 43% and 53%.
Atmosphere 09 00040 g004
Table
Table 1. Information on analyzed samples from Beijing.
Table 1. Information on analyzed samples from Beijing.
IDCollection DateT (°C)RH (%)P (hPa)
A2015/8/2834.834.31000.1
B2015/9/329.343.51005.1
C2015/9/227.253.31006.5
Table
Table 2. Classification of individual aerosol particles.
Table 2. Classification of individual aerosol particles.
TypesSub-TypesPhysical and Chemical Characteristics
Primary particlesMineralIrregular shaped; mainly composed O, Si, Al, Fe, Ca, Na, K, Mg; soil, road dust and construction dust sources
SootAggregate shaped spheres; composed of C and minor O; sourced from incomplete combustion.
OrganicSpherical or near spherical shaped; composed of C and O; combustion sources
Secondary particlesHomogeneous mixed S-rich particles (HS)Spherical or near spherical shaped; composed of C, S, O, N and sometimes with minor K; beam-sensitive; secondary formation in atmosphere
Organic coated S-rich particles (CS)Core-shell structure; composed of C, S, O, N and sometimes with minor K; beam-sensitive; secondary formation in atmosphere

Share and Cite

MDPI and ACS Style

Wang, W.; Shao, L.; Xing, J.; Li, J.; Chang, L.; Li, W. Physicochemical Characteristics of Individual Aerosol Particles during the 2015 China Victory Day Parade in Beijing. Atmosphere 2018, 9, 40. https://doi.org/10.3390/atmos9020040

AMA Style

Wang W, Shao L, Xing J, Li J, Chang L, Li W. Physicochemical Characteristics of Individual Aerosol Particles during the 2015 China Victory Day Parade in Beijing. Atmosphere. 2018; 9(2):40. https://doi.org/10.3390/atmos9020040

Chicago/Turabian Style

Wang, Wenhua, Longyi Shao, Jiaoping Xing, Jie Li, Lingli Chang, and Wenjun Li. 2018. "Physicochemical Characteristics of Individual Aerosol Particles during the 2015 China Victory Day Parade in Beijing" Atmosphere 9, no. 2: 40. https://doi.org/10.3390/atmos9020040

APA Style

Wang, W., Shao, L., Xing, J., Li, J., Chang, L., & Li, W. (2018). Physicochemical Characteristics of Individual Aerosol Particles during the 2015 China Victory Day Parade in Beijing. Atmosphere, 9(2), 40. https://doi.org/10.3390/atmos9020040

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop