Hygroscopic growth of urban aerosol particles during the 2009 Mirage-Shanghai Campaign

Ye, Xingnan; Tang, Can; Yin, Zi; Chen, Jianmin; Ma, Zhen; Kong, Lingdong; Yang, Xin; Gao, Wei; Geng, Feng

doi:10.1016/j.atmosenv.2012.09.064

Cited by 68 publications

(57 citation statements)

References 35 publications

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“…This study used 13 published data sets for hygroscopic growth factors and their number fraction in rural, urban background and roadside environments from previous studies (roadside: Bavaria (Ferron et al 2005), Copenhagen (Löndahl et al, 2009), Bresso (Baltensperger et al 2002); urban background: Neuherberg (Tschiersch et al 1997), Leipzig (Massling et al 2005), Taipei (Chen et al 2003), Beijing ), Guangzhou (Tan et al 2013), Shanghai (Ye et al 2013); rural: Bologna (Svenningsson et al 1992), Berlin (Busch et al 2002), Hohenspeissenberg (Ferron et al 2005), Great Dun Fell (Swietlicki et al 1999)) as shown in Table 1.…”

Section: Effects Of Aerosol Hygroscopic Properties On Calculation Of mentioning

confidence: 99%

A review of hygroscopic growth factors of submicron aerosols from different sources and its implication for calculation of lung deposition efficiency of ambient aerosols

Delgado-Saborit

Harrison

2015

Air Qual Atmos Health

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Hygroscopic properties are an important parameter in determining the atmospheric behaviour of aerosols and their optical properties, influencing the direct and indirect effect of aerosols upon climate. As a result, particle hygroscopicity has received much attention with a rapid increase of publications in recent years. Likewise, hygroscopicity is an important characteristic influencing the deposition efficiency of particles in the human respiratory tract by affecting the particle size. The object of this study is to review the existing knowledge on the hygroscopic growth factor (G f ) of atmospheric submicron particles and its influence on the lung deposition calculation. The study briefly reviews first the G f values of particles generated from various sources, including nucleation, traffic emissions and biomass burning, discussing the spatial and temporal variations. It then summarises G f values of submicron particles and number fraction of each hygroscopic group measured in different ambient environments. These include marine, roadside, urban background and rural environments. The study concludes by estimating the lung deposition efficiency of ambient particles using a modified version of the International Commission on Radiological Protection (ICRP) model for hygroscopic particles. Furthermore, the effect of hygroscopicity on lung deposition efficiency of ambient particles has been estimated. The ICRP model seems to predict well the deposition efficiency (DE) values for small ambient particles in the extra-thoracic and tracheo-bronchial region, but not the alveolar region, where they are overestimated. However, for larger particles (D p >200 nm), the ICRP model underestimates the DE values, with the extra-thoracic region the most affected of the three. Hygroscopic atmospheric particles with a small diameter (D p <200 nm) showed a lower total lung deposition than hydrophobic particles of the same initial size due to their hygroscopic properties. On the other hand, larger hygroscopic particles (D p >200 nm) showed much higher lung deposition than hydrophobic particles.

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Section: Effects Of Aerosol Hygroscopic Properties On Calculation Of mentioning

confidence: 99%

A review of hygroscopic growth factors of submicron aerosols from different sources and its implication for calculation of lung deposition efficiency of ambient aerosols

Delgado-Saborit

Harrison

2015

Air Qual Atmos Health

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“…The variability of hygroscopicity parameter κ was much greater for 40 nm particles. The particle population with κ < 0.1 was attributed to fresh traffic particles (Ye et al, 2013). The considerable percentile of κ < 0.1 indicates that the 40 nm particle population was sometimes dominated by near-hydrophobic particles.…”

Section: Ion Chromatographymentioning

confidence: 99%

“…During the initial stage, the measured GF and effective density distributions were both bimodal, with a dominant peak at GF = ∼ 1.0 and ρ eff =∼ 1.0 g cm −3 , respectively. In a previous study, we found that the number fraction of near-hydrophobic particles varied with the traffic exhaust (Ye et al, 2013). Moreover, laboratory studies showed that the effective density of 50 nm vehicle particles was approximately 1.0 g cm −3 (Olfert et al, 2007;Park et al, 2003;Momenimovahed and Olfert, 2015).…”

Section: Characteristics Of a Representative Pm Episodementioning

confidence: 99%

Insight into winter haze formation mechanisms based on aerosol hygroscopicity and effective density measurements

Xie

et al. 2017

Atmos. Chem. Phys.

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Abstract. We characterize a representative particulate matter (PM) episode that occurred in Shanghai during winter 2014. Particle size distribution, hygroscopicity, effective density, and single particle mass spectrometry were determined online, along with offline analysis of water-soluble inorganic ions. The mass ratio of SNA / PM 1.0 (sulfate, nitrate, and ammonium) fluctuated slightly around 0.28, suggesting that both secondary inorganic compounds and carbonaceous aerosols contributed substantially to the haze formation, regardless of pollution level. Nitrate was the most abundant ionic species during hazy periods, indicating that NO x contributed more to haze formation in Shanghai than did SO 2 . During the representative PM episode, the calculated PM was always consistent with the measured PM 1.0 , indicating that the enhanced pollution level was attributable to the elevated number of larger particles. The number fraction of the near-hydrophobic group increased as the PM episode developed, indicating the accumulation of local emissions. Three "banana-shaped" particle evolutions were consistent with the rapid increase of PM 1.0 mass loading, indicating that the rapid size growth by the condensation of condensable materials was responsible for the severe haze formation. Both hygroscopicity and effective density of the particles increased considerably with growing particle size during the bananashaped evolutions, indicating that the secondary transformation of NO x and SO 2 was one of the most important contributors to the particle growth. Our results suggest that the accumulation of gas-phase and particulate pollutants under stagnant meteorological conditions and subsequent rapid particle growth by secondary processes were primarily responsible for the haze pollution in Shanghai during wintertime.

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“…Young Company, U.S.A. (PT1000 and rain gauge) are used; relative humidity is measured using the CS215 sensor by Sensirion AG, Switzerland; and wind velocity and direction is measured by a WindSonic by Gill Instruments, UK. Global radiation and barometric pressure are recorded by Du et al (2010) Shanghai, CN Ammonium particle-to-gas conversion (2009) Li et al (2010) Shanghai, CN Agricultural fire impacts on the air quality in Shanghai, Summer Harvesttime 2009 Du et al (2011) Shanghai, CN Measurements during haze pollution events in Shanghai (2009) Schaap et al (2011) Cabauw, NL Illustrating the benefit using data with high time resolution for model evaluation (2007 to 2008) Ye et al (2011) Shanghai, CN Role of ammonia on haze formation (2009) Fu et al (2012) Shanghai, CN Morphology, composition and mixing state of carbonaceous aerosol (2010) Makkonen et al (2012) Helsinki, FI Investigation of nitrogen in aerosol and gas phase and aerosol acidity (2009 to 2010) Mensah et al (2012) Cabauw, NL Aerosol measurements in Behera et al (2013 Singapore, SG Coupling among gases and secondary inorganic aerosols (2011) Huang et al (2013) Shanghai, CN Investigation of the aerosol evolution influenced by regional transport (2011) Khezri et al (2013) Singapore, SG Measurements in an industrialized area (2011) Leng et al (2013) Shanghai, CN Surface cloud condensation nuclei and aerosol activity (2010 to 2011) Li et al (2013) Shanghai, CN Role of chemical composition of PM on aerosol single scattering albedo (2010) Phillips et al (2013) Kleiner Feldberg, DE Influence of N 2 O 5 on HNO 3 concentrations measured by alkali-and aqueous-denuder techniques (2012) Wang et al (2013a) Shanghai, CN Anthropogenic pollution and dust plume measurements (2010) Wen and Chen (2013) Jinan, CN Measurements during firework events (2013) Ye et al (2013) Shanghai, CN Investigation of hygroscopic growth of urban aerosol (2009) Zhang et al (2013) Shanghai, CN Urban aerosol during World Expo 2010 Fan et al (2014) Lanzhou, CN Crustal material versus secondary air pollution (2011) Huang et al (2014) Honk Kong, HK Characterization of PM 2.5 , source investigation, receptor modelling study (2011 to 2012) Jansen et al (2014a) Shanghai, CN Impact of ammonia on PM 1 and visibility degradation (2012) Jansen et al (2014b) Hangzhou, CN Role of secondary inorganic aerosol in PM 2.5 during haze and fog (2012) Kong et al (2014) Shanghai, Hangzh...…”

Section: Site Description and Meteorological Parametersmentioning

confidence: 99%

Measurements of PM10 ions and trace gases with the online system MARGA at the research station Melpitz in Germany – A five-year study

Stieger

Spindler

Fahlbusch³

et al. 2017

J Atmos Chem

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Hygroscopic growth of urban aerosol particles during the 2009 Mirage-Shanghai Campaign

Cited by 68 publications

References 35 publications

A review of hygroscopic growth factors of submicron aerosols from different sources and its implication for calculation of lung deposition efficiency of ambient aerosols

A review of hygroscopic growth factors of submicron aerosols from different sources and its implication for calculation of lung deposition efficiency of ambient aerosols

Insight into winter haze formation mechanisms based on aerosol hygroscopicity and effective density measurements

Measurements of PM10 ions and trace gases with the online system MARGA at the research station Melpitz in Germany – A five-year study

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