Hygroscopic behavior of atmospheric aerosol in Taipei

Chen, Lu-Yen; Jeng, Fu‐Tien; Chen, Chih-Chieh; Hsiao, Ta-Chih

doi:10.1016/s1352-2310(03)00071-2

Cited by 39 publications

(23 citation statements)

References 21 publications

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“…Using the individual GF D for the pure inorganic compounds and assuming GF D values at 85% RH of 1.0 and 1.1 for black carbon and organic carbon, respectively, the measured growth factors were well reproduced by the Zdanovskii-Stokes-Robinson (ZSR) model (Chen et al, 2003) which assumes an ideal mixing behaviour of the chemical species in the aerosol particle. As a consequence of this internal mixing, particles do not show efflorescence but rather a continuous increase of GF D with increasing RH , from which it may be inferred that at the JFJ the particles are present as liquid droplets over a broad RH range, consistent with the thermodynamically stable liquid phase of multicomponent organic mixtures (Marcolli et al, 2004).…”

Section: Free Troposphere (Ft)mentioning

confidence: 87%

The effect of physical and chemical aerosol properties on warm cloud droplet activation

et al. 2006

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Abstract. The effects of atmospheric aerosol on climate forcing may be very substantial but are quantified poorly at present; in particular, the effects of aerosols on cloud radiative properties, or the "indirect effects" are credited with the greatest range of uncertainty amongst the known causes of radiative forcing. This manuscript explores the effects that the composition and properties of atmospheric aerosol can have on the activation of droplets in warm clouds, so potentially influencing the magnitude of the indirect effect. The effects of size, composition, mixing state and various derived properties are assessed and a range of these properties provided by atmospheric measurements in a variety of locations is briefly reviewed. The suitability of a range of process-level descriptions to capture these aerosol effects is investigated by assessment of their sensitivities to uncertainties in aerosol properties and by their performance in closure studies. The treatment of these effects within global models is reviewed and suggestions for future investigations are made.

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Section: Free Troposphere (Ft)mentioning

confidence: 87%

The effect of physical and chemical aerosol properties on warm cloud droplet activation

et al. 2006

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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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“…Water may be absorbed by certain hygroscopic components (e.g., organic material and inorganic salts) of a particle as RH increases greater than a critical value (typically Ͼ60% depending on composition). 7,19,20 When this occurs, a particle's size and mass become larger, its surface may become wet, and it may transform into a droplet. A particle releases water back to the atmosphere as RH decreases, but usually at lower RH than the critical value required for water uptake.…”

Section: Discussionmentioning

confidence: 99%

Use of the Aerodynamic Particle Sizer to Measure Ambient PM₁₀–2.5: The Coarse Fraction of PM₁₀

Peters

2006

Journal of the Air & Waste Management Association

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The Aerodynamic Particle Sizer (APS 3321, TSI, Inc., Shoreview, MN) rapidly measures particle number concentration by size from 0.5 to 20 m. This work used simple assumptions for particle shape factor and density to estimate ambient coarse mode particulate matter, PM 10 -2.5 , from APS number concentration data. This estimate was compared with that measured with time-integrated, filterbased federal reference method (FRM) samplers in four U.S. field studies: two in Phoenix, AZ; one in Gary, IN; and one in Riverside, CA. Near one-to-one agreement and a strong linear relationship were observed between APSestimated and FRM-measured PM 10 -2.5 in the first Phoenix, AZ study (slope ϭ 0.90, R 2 ϭ 1.00); the second Phoenix, AZ study (slope ϭ 0.99, R 2 ϭ 0.99); and the Riverside,

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Hygroscopic behavior of atmospheric aerosol in Taipei

Cited by 39 publications

References 21 publications

The effect of physical and chemical aerosol properties on warm cloud droplet activation

The effect of physical and chemical aerosol properties on warm cloud droplet activation

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

Use of the Aerodynamic Particle Sizer to Measure Ambient PM₁₀–2.5: The Coarse Fraction of PM₁₀

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Hygroscopic behavior of atmospheric aerosol in Taipei

Cited by 39 publications

References 21 publications

The effect of physical and chemical aerosol properties on warm cloud droplet activation

The effect of physical and chemical aerosol properties on warm cloud droplet activation

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

Use of the Aerodynamic Particle Sizer to Measure Ambient PM10–2.5: The Coarse Fraction of PM10

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Use of the Aerodynamic Particle Sizer to Measure Ambient PM₁₀–2.5: The Coarse Fraction of PM₁₀