Abstract:Secondary organic aerosol (SOA) formation from diesel exhaust was investigated using an environmental chamber. Particle volume measurement based solely on mobility diameter underestimated the SOA formation from diesel exhaust due to the external void space of agglomerate particles. Therefore, particle mass concentration and fractal-like dimension was determined from the particle effective density as a function of particle mass using an aerosol particle mass analyzer and scanning mobility particle sizer (APM-SM… Show more
“…Using the effective density analogue of Eq. (5), the fractal-like dimension was obtained by fitting the power function (Park et al, 2003;Xue et al, 2009;Nakao et al, 2011):…”
Section: Experimental Methods and Instrumentationmentioning
confidence: 99%
“…This is likely due to a coating of SOA forming on the primary emissions (Nakao et al, 2011). The SOA fills in the void space inside the fractal agglomerates.…”
Section: Morphology Of Aged Biomass Burning Aerosolmentioning
confidence: 99%
“…While the current literature on the morphology of biomass burning aerosols is sparse, the work done on diesel particles suggests that burn conditions may play a part in particle morphology (Park et al, 2004;Nakao et al, 2011). Along with .…”
Section: Sensitivity Of κ To Particle Shape Factormentioning
confidence: 99%
“…They obtained fractal-like dimensions of 2.33 < D f < 2.84 depending on engine load. Work done by Nakao et al (2011) used this relationship to show SOA (secondary organic aerosol) formation from diesel exhaust has similar D f . Zhang et al (2008) exposed flamegenerated soot to subsaturated sulfuric acid vapor and obtained a fresh (unexposed) D f of 2.1 and an aged (exposed) D f of 2.8.…”
Section: Fractal and Fractal-like Dimensionsmentioning
confidence: 99%
“…To measure the effect of atmospheric aging on biomass burning aerosol's morphology, the APM-SMPS system was used as described in Nakao et al (2011). The TEM was not used in this section because saturation of the TEM grids required extensive time, longer than that necessary to observe changing morphology that can occur with aging.…”
Section: Morphology Of Aged Biomass Burning Aerosolmentioning
Abstract. This study examines the morphological properties of freshly emitted and atmospherically aged aerosols from biomass burning. The impacts of particle morphology assumptions on hygroscopic predictions are examined. Chamber experiments were conducted at the University of California, Riverside, Center for Environmental Research and Technology (CE-CERT) atmospheric processes lab using two biomass fuel sources: manzanita and chamise. Morphological data was obtained through the use of an aerosol particle mass analyzer (APM), scanning mobility particle sizer (SMPS) system and transmission electron microscope (TEM). Data from these instruments was used to calculate both a dynamic shape factor and a fractal-like dimension for the biomass burning emissions. This data was then used with κ-Köhler theory to adjust the calculated hygroscopicity for experimentally determined morphological characteristics of the aerosol. Laboratory measurement of biomass burning aerosol from two chaparral fuels show that particles are nonspherical with dynamic shape factors greater than 1.15 for aerosol sizes relevant to cloud condensation nuclei (CCN) activation. Accounting for particle morphology can shift the hygroscopicity parameter by 0.15 or more. To our knowledge, this work provides the first laboratory chamber measurements of morphological characteristics for biomass burning cloud condensation nuclei and provides experimental particle shape evidence to support the variation in reported hygroscopicities of the complex aerosol.
“…Using the effective density analogue of Eq. (5), the fractal-like dimension was obtained by fitting the power function (Park et al, 2003;Xue et al, 2009;Nakao et al, 2011):…”
Section: Experimental Methods and Instrumentationmentioning
confidence: 99%
“…This is likely due to a coating of SOA forming on the primary emissions (Nakao et al, 2011). The SOA fills in the void space inside the fractal agglomerates.…”
Section: Morphology Of Aged Biomass Burning Aerosolmentioning
confidence: 99%
“…While the current literature on the morphology of biomass burning aerosols is sparse, the work done on diesel particles suggests that burn conditions may play a part in particle morphology (Park et al, 2004;Nakao et al, 2011). Along with .…”
Section: Sensitivity Of κ To Particle Shape Factormentioning
confidence: 99%
“…They obtained fractal-like dimensions of 2.33 < D f < 2.84 depending on engine load. Work done by Nakao et al (2011) used this relationship to show SOA (secondary organic aerosol) formation from diesel exhaust has similar D f . Zhang et al (2008) exposed flamegenerated soot to subsaturated sulfuric acid vapor and obtained a fresh (unexposed) D f of 2.1 and an aged (exposed) D f of 2.8.…”
Section: Fractal and Fractal-like Dimensionsmentioning
confidence: 99%
“…To measure the effect of atmospheric aging on biomass burning aerosol's morphology, the APM-SMPS system was used as described in Nakao et al (2011). The TEM was not used in this section because saturation of the TEM grids required extensive time, longer than that necessary to observe changing morphology that can occur with aging.…”
Section: Morphology Of Aged Biomass Burning Aerosolmentioning
Abstract. This study examines the morphological properties of freshly emitted and atmospherically aged aerosols from biomass burning. The impacts of particle morphology assumptions on hygroscopic predictions are examined. Chamber experiments were conducted at the University of California, Riverside, Center for Environmental Research and Technology (CE-CERT) atmospheric processes lab using two biomass fuel sources: manzanita and chamise. Morphological data was obtained through the use of an aerosol particle mass analyzer (APM), scanning mobility particle sizer (SMPS) system and transmission electron microscope (TEM). Data from these instruments was used to calculate both a dynamic shape factor and a fractal-like dimension for the biomass burning emissions. This data was then used with κ-Köhler theory to adjust the calculated hygroscopicity for experimentally determined morphological characteristics of the aerosol. Laboratory measurement of biomass burning aerosol from two chaparral fuels show that particles are nonspherical with dynamic shape factors greater than 1.15 for aerosol sizes relevant to cloud condensation nuclei (CCN) activation. Accounting for particle morphology can shift the hygroscopicity parameter by 0.15 or more. To our knowledge, this work provides the first laboratory chamber measurements of morphological characteristics for biomass burning cloud condensation nuclei and provides experimental particle shape evidence to support the variation in reported hygroscopicities of the complex aerosol.
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