A study of the morphology and effective density of externally mixed black carbon aerosols in ambient air using a size-resolved single-particle soot photometer (SP2)

Abstract. The morphology and effective density of externally mixed black carbon (extBC) aerosols, important factors affecting the radiative forcing of black carbon, were studied using a tandem technique coupling a differential mobility analyzer (DMA) with a single-particle soot photometer (SP2). The study extended the mass–mobility relationship to large extBC particles with a mobility diameter (dmob) larger than 350 nm, a size range seldom included in previous tandem measurements of BC aggregates in the atmosphere. The experiment was conducted at an urban site in Beijing during a 19 d winter period from 23 January to 10 February 2018. Ambient dry particles were selected by the DMA, and the size-resolved extBC particles were distinguished from particles with a thick coating (internally mixed) according to the time delay between the incandescence signal peak and the scattering peak detected by the SP2. The masses of the extBC particles were then quantified. The time differences between the DMA size selection and the SP2 measurement were processed previously. The normalized number size distributions were investigated at the prescribed dmob sizes in the range of 140–750 nm to provide the typical mass of extBC at each dmob. On this basis, the mass–mobility relationship of the ambient extBC was established, inferring a mass–mobility scaling exponent (Dfm) (an important quantity for characterizing the morphology of fractal-like BC aggregates) with a value of 2.34±0.03 in the mobility range investigated in this study. This value is comparable with those of diesel exhaust particles, implying a predominant contribution of vehicle emissions to the ambient extBC in urban Beijing. Compared to the clean period, a higher Dfm value was observed in the polluted episode, indicating a more compact BC aggregate structure than that in the clean period. The effective densities (ρeff) of the extBC in the same dmob range were also derived, with values gradually decreasing from 0.46 g cm−3 at 140 nm mobility to 0.14 g cm−3 at 750 nm mobility. The ρeff values were slightly lower than those measured using the DMA–aerosol particle mass analyzer (APM) system. The difference in ρeff values was likely due to the lower BC masses determined by the SP2 compared to those measured by the APM at the same mobility, since the SP2 measured the refractory BC (rBC) mass instead of the total mass of the BC aggregate, which consists of both rBC and a possible fraction of nonrefractory components measured by the APM. The ρeff values in the 280–350 nm dmob range were much closer to the values for soot aggregates reported in the literature. It might be related to the more compact structure of BC aggregates in this range, resulting from the reconstruction effect by volatile and/or semivolatile components in the atmosphere. The reconstruction effect might also result in a hiatus in the increased dynamic shape factor in the range of 200–350 nm, which presented an overall increase from 2.16 to 2.93 in the 140–750 nm dmob range.

[1]  Renjian Zhang,et al.  Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing. , 2017, The Science of the total environment.

[2]  T. Cheng,et al.  Fractal Dimensions and Mixing Structures of Soot Particles during Atmospheric Processing , 2017 .

[3]  G. Mcfiggans,et al.  Black-carbon absorption enhancement in the atmosphere determined by particle mixing state , 2017 .

[4]  Renjian Zhang,et al.  Variations of Chemical Composition and Source Apportionment of PM2.5 during Winter Haze Episodes in Beijing , 2017 .

[5]  D. Brus,et al.  Size-selected black carbon mass distributions and mixing state in polluted and clean environments of northern India , 2016 .

[6]  Y. Wang,et al.  Markedly enhanced absorption and direct radiative forcing of black carbon under polluted urban environments , 2016, Proceedings of the National Academy of Sciences.

[7]  P. Yan,et al.  Effect of ambient humidity on the light absorption amplification of black carbon in Beijing during January 2013 , 2016 .

[8]  Qiang Zhang,et al.  Measuring the morphology and density of internally mixed black carbon with SP2 and VTDMA: new insight into the absorption enhancement of black carbon in the atmosphere , 2015 .

[9]  A. Piazzalunga,et al.  High secondary aerosol contribution to particulate pollution during haze events in China , 2014, Nature.

[10]  J. Allan,et al.  Assessment of the sensitivity of core/shell parameters derived using the single-particle soot photometer to density and refractive index , 2014 .

[11]  S. Loft,et al.  Effective density and mixing state of aerosol particles in a near-traffic urban environment. , 2014, Environmental science & technology.

[12]  Renjian Zhang,et al.  Mixing State of Black Carbon Aerosol in a Heavily Polluted Urban Area of China: Implications for Light Absorption Enhancement , 2014 .

[13]  Chun Shun Cheung,et al.  Black carbon mass size distributions of diesel exhaust and urban aerosols measured using differential mobility analyzer in tandem with Aethalometer , 2013 .

[14]  Renjian Zhang,et al.  Chemical characterization and source apportionment of PM 2 . 5 in Beijing : seasonal perspective , 2013 .

[15]  Ping Yang,et al.  Efficient implementation of the invariant imbedding T-matrix method and the separation of variables method applied to large nonspherical inhomogeneous particles , 2013 .

[16]  A. Petzold,et al.  Technical Note: The single particle soot photometer fails to reliably detect PALAS soot nanoparticles , 2012 .

[17]  G. Mcfiggans,et al.  Ambient black carbon particle hygroscopic properties controlled by mixing state and composition , 2012 .

[18]  T. Kirchstetter,et al.  Effects of internal mixing and aggregate morphology on optical properties of black carbon using a discrete dipole approximation model , 2012 .

[19]  A. Piazzalunga,et al.  Soot Reference Materials for instrument calibration and intercomparisons: a workshop summary with recommendations , 2012 .

[20]  P. Zieger,et al.  Sensitivity of the Single Particle Soot Photometer to different black carbon types , 2012 .

[21]  S. Luan,et al.  Black carbon aerosol characterization in a coastal city in South China using a single particle soot photometer , 2012 .

[22]  R. Subramanian,et al.  Effective density of Aquadag and fullerene soot black carbon reference materials used for SP2 calibration , 2011 .

[23]  M. Petters,et al.  Influences on the fraction of hydrophobic and hydrophilic black carbon in the atmosphere , 2011 .

[24]  C. Sorensen The Mobility of Fractal Aggregates: A Review , 2011 .

[25]  Y. Kondo,et al.  Amplification of Light Absorption of Black Carbon by Organic Coating , 2010 .

[26]  Renyi Zhang,et al.  Enhanced light absorption and scattering by carbon soot aerosol internally mixed with sulfuric acid. , 2009, The journal of physical chemistry. A.

[27]  Jie Yang,et al.  Tandem Measurements of Aerosol Properties—A Review of Mobility Techniques with Extensions , 2008 .

[28]  Peter A. Crozier,et al.  Brown Carbon Spheres in East Asian Outflow and Their Optical Properties , 2008, Science.

[29]  P. Mcmurry,et al.  Variability in morphology, hygroscopicity, and optical properties of soot aerosols during atmospheric processing , 2008, Proceedings of the National Academy of Sciences.

[30]  J. Peischl,et al.  Measurement of the mixing state, mass, and optical size of individual black carbon particles in urban and biomass burning emissions , 2008 .

[31]  P. Mcmurry,et al.  Processing of Soot by Controlled Sulphuric Acid and Water Condensation—Mass and Mobility Relationship , 2009 .

[32]  D. Worsnop,et al.  Measurements of Morphology Changes of Fractal Soot Particles using Coating and Denuding Experiments: Implications for Optical Absorption and Atmospheric Lifetime , 2007 .

[33]  Yutaka Kondo,et al.  Effects of Mixing State on Black Carbon Measurements by Laser-Induced Incandescence , 2007 .

[34]  T. L. Thompson,et al.  A Novel Method for Estimating Light-Scattering Properties of Soot Aerosols Using a Modified Single-Particle Soot Photometer , 2007 .

[35]  Nick Collings,et al.  The effective density and fractal dimension of particles emitted from a light-duty diesel vehicle with a diesel oxidation catalyst , 2007 .

[36]  Axel Lauer,et al.  Single‐particle measurements of midlatitude black carbon and light‐scattering aerosols from the boundary layer to the lower stratosphere , 2006 .

[37]  C. Sioutas,et al.  Determination of Particle Effective Density in Urban Environments with a Differential Mobility Analyzer and Aerosol Particle Mass Analyzer , 2006 .

[38]  M. Maricq,et al.  The effective density and fractal dimension of soot particles from premixed flames and motor vehicle exhaust , 2004 .

[39]  P. Mcmurry,et al.  Structural Properties of Diesel Exhaust Particles Measured by Transmission Electron Microscopy (TEM): Relationships to Particle Mass and Mobility , 2004 .

[40]  P. Mcmurry,et al.  Relationship between particle mass and mobility for diesel exhaust particles. , 2003, Environmental science & technology.

[41]  M. Jacobson,et al.  Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols , 2022 .