Modeling semivolatile organic aerosol mass emissions from combustion systems. Shrivastava, M., K., Lipsky, E., M., Stanier, C., O., & Robinson, A., L. Environ. Sci. Technol., 40:2671-2677, 2006.
abstract   bibtex   
Experimental measurements of gas-particle partitioning and organic aerosol mass in diluted diesel and wood combustion exhaust are interpreted using a two-component absorptive-partitioning model. The model parameters are determined by fitting the experimental data. The changes in partitioning with dilution of both wood smoke and diesel exhaust can be described by two lumped compounds in roughly equal abundance with effective saturation concentrations of similar to 1600 mu g m(-3) and similar to 20 mu g m(-3). The model is used to investigate gas-particle partitioning of emissions across a wide range of atmospheric conditions. Under the highly dilute conditions found in the atmosphere, the partitioning of the emissions is strongly influenced by the ambient temperature and the background organic aerosol concentration. The model predicts large changes in primary organic aerosol mass with varying atmospheric conditions, indicating that it is not possible to specify a single value for the organic aerosol emissions. Since atmospheric conditions vary in both space and time, air quality models need to treat primary organic aerosol emissions as semivolatile. Dilution samplers provide useful information about organic aerosol emissions; however, the measurements can be biased relative to atmospheric conditions and constraining predictions of absorptive-partitioning models requires emissions data across the entire range of atmospherically relevant concentrations. C1 Carnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA. Univ Iowa, Dept Chem & Biochem Engn, Iowa City, IA 52242 USA.
@article{
 title = {Modeling semivolatile organic aerosol mass emissions from combustion systems},
 type = {article},
 year = {2006},
 pages = {2671-2677},
 volume = {40},
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 created = {2014-10-08T16:28:18.000Z},
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 last_modified = {2017-03-14T17:32:24.802Z},
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 citation_key = {Shrivastava:EST:2006a},
 source_type = {article},
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 abstract = {Experimental measurements of gas-particle partitioning
and organic aerosol mass in diluted diesel and wood combustion
exhaust are interpreted using a two-component
absorptive-partitioning model. The model parameters are determined
by fitting the experimental data. The changes in partitioning with
dilution of both wood smoke and diesel exhaust can be described by
two lumped compounds in roughly equal abundance with effective
saturation concentrations of similar to 1600 mu g m(-3) and similar
to 20 mu g m(-3). The model is used to investigate gas-particle
partitioning of emissions across a wide range of atmospheric
conditions. Under the highly dilute conditions found in the
atmosphere, the partitioning of the emissions is strongly
influenced by the ambient temperature and the background organic
aerosol concentration. The model predicts large changes in primary
organic aerosol mass with varying atmospheric conditions,
indicating that it is not possible to specify a single value for
the organic aerosol emissions. Since atmospheric conditions vary in
both space and time, air quality models need to treat primary
organic aerosol emissions as semivolatile. Dilution samplers
provide useful information about organic aerosol emissions;
however, the measurements can be biased relative to atmospheric
conditions and constraining predictions of absorptive-partitioning
models requires emissions data across the entire range of
atmospherically relevant concentrations. C1 Carnegie Mellon Univ,
Dept Engn & Publ Policy, Pittsburgh, PA 15213 USA. Carnegie Mellon
Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA. Univ Iowa, Dept
Chem & Biochem Engn, Iowa City, IA 52242 USA.},
 bibtype = {article},
 author = {Shrivastava, M K and Lipsky, E M and Stanier, C O and Robinson, A L},
 journal = {Environ. Sci. Technol.}
}
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