Fractal parameters of individual soot particles determined using electron tomography: Implications for optical properties

By K. Adachi, S. Chung, Heiner Friedrich, Peter R. Buseck. 2007

158 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/1950242060e2e254fdabe1047ed8e6296cdcea2d

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Citations in the corpus

Fractal Dimensions and Mixing Structures of Soot Particles during Atmospheric Processing (2017, background): “2 Quantifying the Shapes of Soot Particles 170 It is widely acknowledged that Df of soot particles reflects their combustion 171 conditions and aging processes.(23) Compact soot particles often have larger Df than 172 lacy aggregates.”
Effects of internal mixing and aggregate morphology on optical properties of black carbon using a discrete dipole approximation model (2012, background): “The literature shows a wide range of values for k 0 , and it is still under discussion which is most appropriate despite the common use of k 0 = 1.19 (Brasil et al., 1999; Chakrabarty et al., 2011; Adachi et al., 2007; Heinson et al., 2010).”
Shapes of soot aerosol particles and implications for their effects on climate (2010, methodology): “ET analyses. Soot particles embedded within host materials were selected for analyses using the method as described by Adachi et al. [2007] .”
Morphology and mixing state of aged soot particles at a remote marine free troposphere site: Implications for optical properties (2015, background): “The fractal dimension of soot reflects its aging and is affected by several factors, including emission sources, emission conditions, and atmospheric processing pathways [Adachi et al., 2007; Chakrabarty et al., 2014].”
Internally mixed soot, sulfates, and organic matter in aerosol particles from Mexico City (2008, methodology): “For soot particles that have aspect ratios >2.0 (open clusters), we used D f =2.4 and k a =0.7 (Adachi et al., 2007).”
Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, methodology): “, soot) and particles taken up into precipitation (rain water or snow; Adachi et al., 2007; Axson et al., 2014; Creamean et al., 2016; Katrinak et al., 1993; Pósfai et al., 2003).”
A study of radiative properties of fractal soot aggregates using the superposition T-matrix method (2008, background): “Finally we note that during the aging process, soot particles can aggregate with hydrophilic particles or acquire coatings of other aerosol species [3], or they can become internally mixed [27].”