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. 2019 Aug 14;9:11824. doi: 10.1038/s41598-019-48143-y

Table 1.

Mean values of roundness, convexity and area equivalent diameter (DAeq) of ambient and laboratory soot particles (soot category C0 and C1).

Convexity Roundness DAeq [nm] Sampling location, probable dominant source (sampling date, estimated sample age*) Potential for cloud processing N Literature
0.56 0.29 239 Michigan Tech Pi Chamber, interstitial kerosene soot (January 2017, ~minutes) low 161 This study
0.59 0.32 323 Bhaktapur, Nepal, brick kiln oven and road traffic (March 2017, ~minutes) low 123 This study
0.63 0.36 125 West Bengal, India, urban (January 2018, ~minutes/mixed) low 101 This study
0.65 0.38 324 Sacramento, California, urban (CARES, June 2010, ~minutes/mixed) low 161 This study, Sharma et al.69 and Zaveri et al.52
0.70 0.40 222 Ann Arbor, Michigan, road traffic (July–August 2010, ~minutes/mixed) low 796 China et al.54
0.70 0.41 410 Los Alamos, New Mexico, Las Conchas Fire plume (July 2011, <2 hours) low 411 China et al.57
0.70 0.41 257 Mexico City, urban (MILAGRO, March 2006, ~minutes/mixed) low 1601 This study and China S.85
0.71 0.41 153 Pacific Northwest National Laboratory, Washington nascent diesel soot (November 2013–January 2014, ~minutes) low 226 China et al.17
0.71 0.43 326 Po Valley, Italy, sunny day, urban outflow and road traffic (December 2015, ~minutes/mixed) low 109 This study
0.72 0.42 237 Cool, California, urban outflow and road traffic (CARES, June 2010, ~hours) low 201 This study, Sharma et al.69 and Zaveri et al.52
0.75 0.45 179 Pacific Northwest National Laboratory, Washington, supercooled water droplet residuals from diesel soot (November 2013–January 2014, ~minutes) high 208 China et al.17
0.76 0.45 330 Los Alamos, New Mexico, Whitewater-Baldy Complex Fire plume (May 2012, ~several hours) low 55 This study and Girotto G.86
0.78 0.47 224 Detling, UK, London and Benelux outflows (January 31st, Benelux; February 2–3, London, 2012, ~several hours) medium 1549 This study and Girotto G.86
0.78 0.48 192 Michigan Tech Pi Chamber turbulent cloud, residual kerosene soot (January 2017, ~minutes) high 160 This study
0.80 0.52 237 Po Valley, Italy, foggy morning, urban outflow and road traffic (December 2015, ~minutes/mixed) high 144 This study
0.83 0.55 201 Pacific Northwest National Laboratory, Washington, ice crystal residuals from diesel soot (November 2013–January 2014, ~minutes) high 241 China et al.17
0.84 0.58 248 Pico Mountain Observatory, Azores, long range transport (July 2012, ~1 week) high 189 China et al.18

*With the term “mixed” we indicate the potential presence of soot particles carried over from earlier emissions and mixing with fresher emissions. N is the number of single soot particles analyzed.

The data are sorted by increasing convexity.