@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},
 file_attached = {false},
 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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While\nISORROPIA, SCAPE2, and SEQUILIB simplify the problem at hand in an\neffort to reduce computational rigor, GFEMN does not employ many of\nthe simplifying assumptions used in previous models, thus allowing\nit to accurately predict multistage aerosol behavior and\ndeliquescence depression. We examine model performance for\nrepresentative atmospheric environments over an extended\ncomposition, temperature, and RH domain and against observations in\nSouthern California. The predictions of GFEMN, ISORROPIA, SCAPE2,\nand SEQUILIB are in general agreement, but the latter 3 do not\nadequately reproduce multistage deliquescence behavior for\nmulticomponent systems. The most notable differences in model\npredictions occur for H+ and aerosol water concentrations;\ndiscrepancies in predictions of aerosol nitrate and total dry\ninorganic Phl concentrations are not as significant. The models\npredict different deliquescence relative humidities for\nmulticomponent systems, but for ammonia poor environments, these\ndiscrepancies do not introduce differences in total dry inorganic\nPM predictions. Against measurements taken during the Southern\nCalifornia Air Quality Study (SCAQS), all models qualitatively\nreproduce but generally underpredict aerosol nitrate\nconcentrations. Finally, based on its overall agreement with GFEMN\nand its computational efficiency, ISORROPIA appears to be the model\nof choice for use in large-scale aerosol transport models. In\nplaces where crustal material comprises a significant portion of\ntotal PM, SCAPE2 is an alternative.\nC1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.\nCarnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA\n15213 USA.","bibtype":"article","author":"Ansari, A S and Pandis, S N","journal":"Aerosol Sci. Technol.","bibtex":"@article{\n title = {An analysis of four models predicting the partitioning of semivolatile inorganic aerosol components},\n type = {article},\n year = {1999},\n pages = {129-153},\n volume = {31},\n id = {66f0b930-66f8-374d-93cb-d3100b337ab9},\n created = {2014-10-08T16:28:18.000Z},\n file_attached = {false},\n profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},\n group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},\n last_modified = {2017-03-14T17:32:24.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ansari:AST:1999a},\n source_type = {article},\n private_publication = {false},\n abstract = {A comparison is conducted between 3 atmospheric\nequilibrium models: GFEMN, ISORROPIA, SCAPE2, and SEQUILIB. While\nISORROPIA, SCAPE2, and SEQUILIB simplify the problem at hand in an\neffort to reduce computational rigor, GFEMN does not employ many of\nthe simplifying assumptions used in previous models, thus allowing\nit to accurately predict multistage aerosol behavior and\ndeliquescence depression. We examine model performance for\nrepresentative atmospheric environments over an extended\ncomposition, temperature, and RH domain and against observations in\nSouthern California. The predictions of GFEMN, ISORROPIA, SCAPE2,\nand SEQUILIB are in general agreement, but the latter 3 do not\nadequately reproduce multistage deliquescence behavior for\nmulticomponent systems. The most notable differences in model\npredictions occur for H+ and aerosol water concentrations;\ndiscrepancies in predictions of aerosol nitrate and total dry\ninorganic Phl concentrations are not as significant. The models\npredict different deliquescence relative humidities for\nmulticomponent systems, but for ammonia poor environments, these\ndiscrepancies do not introduce differences in total dry inorganic\nPM predictions. Against measurements taken during the Southern\nCalifornia Air Quality Study (SCAQS), all models qualitatively\nreproduce but generally underpredict aerosol nitrate\nconcentrations. Finally, based on its overall agreement with GFEMN\nand its computational efficiency, ISORROPIA appears to be the model\nof choice for use in large-scale aerosol transport models. In\nplaces where crustal material comprises a significant portion of\ntotal PM, SCAPE2 is an alternative.\nC1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.\nCarnegie Mellon Univ, Dept Engn & Publ Policy, Pittsburgh, PA\n15213 USA.},\n bibtype = {article},\n author = {Ansari, A S and Pandis, S N},\n journal = {Aerosol Sci. Technol.}\n}","author_short":["Ansari, A., S.","Pandis, S., N."],"bibbaseid":"ansari-pandis-ananalysisoffourmodelspredictingthepartitioningofsemivolatileinorganicaerosolcomponents-1999","role":"author","urls":{},"downloads":0},"bibtype":"article","biburl":null,"creationDate":"2014-09-11T15:28:59.228Z","downloads":0,"keywords":[],"search_terms":["analysis","four","models","predicting","partitioning","semivolatile","inorganic","aerosol","components","ansari","pandis"],"title":"An analysis of four models predicting the partitioning of semivolatile inorganic aerosol components","year":1999}