An analysis of four models predicting the partitioning of semivolatile inorganic aerosol components. Ansari, A., S. and Pandis, S., N. Aerosol Sci. Technol., 31:129-153, 1999.
abstract   bibtex   
A comparison is conducted between 3 atmospheric equilibrium models: GFEMN, ISORROPIA, SCAPE2, and SEQUILIB. While ISORROPIA, SCAPE2, and SEQUILIB simplify the problem at hand in an effort to reduce computational rigor, GFEMN does not employ many of the simplifying assumptions used in previous models, thus allowing it to accurately predict multistage aerosol behavior and deliquescence depression. We examine model performance for representative atmospheric environments over an extended composition, temperature, and RH domain and against observations in Southern California. The predictions of GFEMN, ISORROPIA, SCAPE2, and SEQUILIB are in general agreement, but the latter 3 do not adequately reproduce multistage deliquescence behavior for multicomponent systems. The most notable differences in model predictions occur for H+ and aerosol water concentrations; discrepancies in predictions of aerosol nitrate and total dry inorganic Phl concentrations are not as significant. The models predict different deliquescence relative humidities for multicomponent systems, but for ammonia poor environments, these discrepancies do not introduce differences in total dry inorganic PM predictions. Against measurements taken during the Southern California Air Quality Study (SCAQS), all models qualitatively reproduce but generally underpredict aerosol nitrate concentrations. Finally, based on its overall agreement with GFEMN and its computational efficiency, ISORROPIA appears to be the model of choice for use in large-scale aerosol transport models. In places where crustal material comprises a significant portion of total PM, SCAPE2 is an alternative. C1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA 15213 USA.
@article{
 title = {An analysis of four models predicting the partitioning of semivolatile inorganic aerosol components},
 type = {article},
 year = {1999},
 pages = {129-153},
 volume = {31},
 id = {66f0b930-66f8-374d-93cb-d3100b337ab9},
 created = {2014-10-08T16:28:18.000Z},
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 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Ansari:AST:1999a},
 source_type = {article},
 private_publication = {false},
 abstract = {A comparison is conducted between 3 atmospheric
equilibrium models: GFEMN, ISORROPIA, SCAPE2, and SEQUILIB. While
ISORROPIA, SCAPE2, and SEQUILIB simplify the problem at hand in an
effort to reduce computational rigor, GFEMN does not employ many of
the simplifying assumptions used in previous models, thus allowing
it to accurately predict multistage aerosol behavior and
deliquescence depression. We examine model performance for
representative atmospheric environments over an extended
composition, temperature, and RH domain and against observations in
Southern California. The predictions of GFEMN, ISORROPIA, SCAPE2,
and SEQUILIB are in general agreement, but the latter 3 do not
adequately reproduce multistage deliquescence behavior for
multicomponent systems. The most notable differences in model
predictions occur for H+ and aerosol water concentrations;
discrepancies in predictions of aerosol nitrate and total dry
inorganic Phl concentrations are not as significant. The models
predict different deliquescence relative humidities for
multicomponent systems, but for ammonia poor environments, these
discrepancies do not introduce differences in total dry inorganic
PM predictions. Against measurements taken during the Southern
California Air Quality Study (SCAQS), all models qualitatively
reproduce but generally underpredict aerosol nitrate
concentrations. Finally, based on its overall agreement with GFEMN
and its computational efficiency, ISORROPIA appears to be the model
of choice for use in large-scale aerosol transport models. In
places where crustal material comprises a significant portion of
total PM, SCAPE2 is an alternative.
C1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.
Carnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA
15213 USA.},
 bibtype = {article},
 author = {Ansari, A S and Pandis, S N},
 journal = {Aerosol Sci. Technol.}
}
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