Articles | Volume 18, issue 1
Atmos. Chem. Phys., 18, 385–403, 2018
https://doi.org/10.5194/acp-18-385-2018
Atmos. Chem. Phys., 18, 385–403, 2018
https://doi.org/10.5194/acp-18-385-2018
Research article
12 Jan 2018
Research article | 12 Jan 2018

Highly controlled, reproducible measurements of aerosol emissions from combustion of a common African biofuel source

Sophie L. Haslett et al.

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Cited articles

Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011. 
Alfarra, M. R., Prevot, A. S. H., Szidat, S., Sandradewi, J., Weimer, S., Lanz, V. A., Schreiber, D., Mohr, M., and Baltensperger, U.: Identification of the mass spectral signature of organic aerosols from wood burning emissions, Environ. Sci. Technol., 41, 5770–5777, https://doi.org/10.1021/es062289b, 2007. 
Allan, J. D., Delia, A. E., Coe, H., Bower, K. N., Alfarra, M., Jimenez, J. L., Middlebrook, A. M., Drewnick, F., Onasch, T. B., Canagaratna, M. R., Jayne, J. T., and Worsnop, D. R.: A generalised method for the extraction of chemically resolved mass spectra from Aerodyne aerosol mass spectrometer data, Aerosol Sci. Tech., 35, 909–922, https://doi.org/10.1016/j.jaerosci.2004.02.007, 2004. 
Andreae, M. and Merlet, P.: Emissions of trace gases and aerosols from biomass burning, Global Biogeochem. Cy., 15, 955–966, https://doi.org/10.1029/2000GB001382, 2001. 
ASTM E2058-00: Standard test method for measurement of synthetic polymer material flammability using a Fire Propagation Apparatus (FPA), January 2000, American Society for Testing and Materials, West Conshohocken, PA, 2000. 
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Short summary
Wood burning is chaotic, so the particles emitted can be difficult to study in a repeatable way. Here, we addressed this problem by carefully controlling small wood fires in the lab. We saw three burning phases, which could be told apart chemically; we also saw evidence of these in measurements of wood burning in London in 2012. Controlled experiments like this help us to understand why emissions are so variable and to recognise burning conditions just from the particles seen in the atmosphere.
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