@article{
 title = {Prediction of multicomponent inorganic atmospheric aerosol behavior},
 type = {article},
 year = {1999},
 pages = {745-757},
 volume = {33},
 id = {7379b9a9-bd67-34e3-adb8-2cbc3f5fed38},
 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:AE:1999a},
 source_type = {article},
 private_publication = {false},
 abstract = {Many existing models calculate the composition of the
atmospheric aerosol system by solving a set of algebraic equations
based on reversible reactions derived from thermodynamic
equilibrium. Some models rely on an a priori knowledge of the
presence of components in certain relative humidity regimes, and
often fail to accurately predict deliquescence point depression and
multistage aerosol growth. The present approach, relying on
adjusted thermodynamic parameters of solid salts and a state of the
art activity coefficient model, directly minimizes the Gibbs free
energy (according to thermodynamic equilibrium principles) given
temperature, relative humidity and the total (gas plus aerosol)
ammonia, nitric acid, sulfate, sodium, and hydrochloric acid
concentrations. A direct minimization, while requiring nb
additional assumptions in its algorithm, allows the elimination of
many of the assumptions used in previous models such as divided
relative humidity (rh) and composition domains where only certain
reactions are assumed to occur and constant DRH values despite
varying temperature and composition. Moreover, the current approach
predicts aerosol deliquescence and efflorescence behavior
explaining the existence of supersaturated aerosol solutions. A
comparison is conducted between our approach and available
experimental results under several conditions. The current model
agrees with experimental results for single salt systems although
it shows sensitivity to thermodynamic parameters used in the
minimization algorithm. A set of Delta G(f)(0) for solid salts is
estimated that is consistent with available laboratory measurements
and significantly improves model performance. I;or multicomponent
systems, the current approach with adjusted Delta G(f)(0)
accurately reproduces observed multistage growth patterns and
deliquescence point depression over a broad temperature range.
Finally, the direct Gibbs free energy minimization accurately
reproduces aerosol efflorescence behavior. (C) 1999 Elsevier
Science Ltd. All rights reserved. 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 = {Atmos. Environ.}
}

{"_id":{"_str":"5411bfbb480d3bb058002a73"},"__v":0,"authorIDs":[],"author_short":["Ansari, A., S.","Pandis, S., N."],"bibbaseid":"ansari-pandis-predictionofmulticomponentinorganicatmosphericaerosolbehavior-1999","bibdata":{"title":"Prediction of multicomponent inorganic atmospheric aerosol behavior","type":"article","year":"1999","pages":"745-757","volume":"33","id":"7379b9a9-bd67-34e3-adb8-2cbc3f5fed38","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:AE:1999a","source_type":"article","private_publication":false,"abstract":"Many existing models calculate the composition of the\natmospheric aerosol system by solving a set of algebraic equations\nbased on reversible reactions derived from thermodynamic\nequilibrium. Some models rely on an a priori knowledge of the\npresence of components in certain relative humidity regimes, and\noften fail to accurately predict deliquescence point depression and\nmultistage aerosol growth. The present approach, relying on\nadjusted thermodynamic parameters of solid salts and a state of the\nart activity coefficient model, directly minimizes the Gibbs free\nenergy (according to thermodynamic equilibrium principles) given\ntemperature, relative humidity and the total (gas plus aerosol)\nammonia, nitric acid, sulfate, sodium, and hydrochloric acid\nconcentrations. A direct minimization, while requiring nb\nadditional assumptions in its algorithm, allows the elimination of\nmany of the assumptions used in previous models such as divided\nrelative humidity (rh) and composition domains where only certain\nreactions are assumed to occur and constant DRH values despite\nvarying temperature and composition. Moreover, the current approach\npredicts aerosol deliquescence and efflorescence behavior\nexplaining the existence of supersaturated aerosol solutions. A\ncomparison is conducted between our approach and available\nexperimental results under several conditions. The current model\nagrees with experimental results for single salt systems although\nit shows sensitivity to thermodynamic parameters used in the\nminimization algorithm. A set of Delta G(f)(0) for solid salts is\nestimated that is consistent with available laboratory measurements\nand significantly improves model performance. I;or multicomponent\nsystems, the current approach with adjusted Delta G(f)(0)\naccurately reproduces observed multistage growth patterns and\ndeliquescence point depression over a broad temperature range.\nFinally, the direct Gibbs free energy minimization accurately\nreproduces aerosol efflorescence behavior. (C) 1999 Elsevier\nScience Ltd. All rights reserved. C1 Carnegie Mellon Univ, Dept\nChem Engn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept\nEngn & Publ Policy, Pittsburgh, PA 15213 USA.","bibtype":"article","author":"Ansari, A S and Pandis, S N","journal":"Atmos. Environ.","bibtex":"@article{\n title = {Prediction of multicomponent inorganic atmospheric aerosol behavior},\n type = {article},\n year = {1999},\n pages = {745-757},\n volume = {33},\n id = {7379b9a9-bd67-34e3-adb8-2cbc3f5fed38},\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:AE:1999a},\n source_type = {article},\n private_publication = {false},\n abstract = {Many existing models calculate the composition of the\natmospheric aerosol system by solving a set of algebraic equations\nbased on reversible reactions derived from thermodynamic\nequilibrium. Some models rely on an a priori knowledge of the\npresence of components in certain relative humidity regimes, and\noften fail to accurately predict deliquescence point depression and\nmultistage aerosol growth. The present approach, relying on\nadjusted thermodynamic parameters of solid salts and a state of the\nart activity coefficient model, directly minimizes the Gibbs free\nenergy (according to thermodynamic equilibrium principles) given\ntemperature, relative humidity and the total (gas plus aerosol)\nammonia, nitric acid, sulfate, sodium, and hydrochloric acid\nconcentrations. A direct minimization, while requiring nb\nadditional assumptions in its algorithm, allows the elimination of\nmany of the assumptions used in previous models such as divided\nrelative humidity (rh) and composition domains where only certain\nreactions are assumed to occur and constant DRH values despite\nvarying temperature and composition. Moreover, the current approach\npredicts aerosol deliquescence and efflorescence behavior\nexplaining the existence of supersaturated aerosol solutions. A\ncomparison is conducted between our approach and available\nexperimental results under several conditions. The current model\nagrees with experimental results for single salt systems although\nit shows sensitivity to thermodynamic parameters used in the\nminimization algorithm. A set of Delta G(f)(0) for solid salts is\nestimated that is consistent with available laboratory measurements\nand significantly improves model performance. I;or multicomponent\nsystems, the current approach with adjusted Delta G(f)(0)\naccurately reproduces observed multistage growth patterns and\ndeliquescence point depression over a broad temperature range.\nFinally, the direct Gibbs free energy minimization accurately\nreproduces aerosol efflorescence behavior. (C) 1999 Elsevier\nScience Ltd. All rights reserved. C1 Carnegie Mellon Univ, Dept\nChem Engn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept\nEngn & Publ Policy, Pittsburgh, PA 15213 USA.},\n bibtype = {article},\n author = {Ansari, A S and Pandis, S N},\n journal = {Atmos. Environ.}\n}","author_short":["Ansari, A., S.","Pandis, S., N."],"bibbaseid":"ansari-pandis-predictionofmulticomponentinorganicatmosphericaerosolbehavior-1999","role":"author","urls":{},"downloads":0},"bibtype":"article","biburl":null,"creationDate":"2014-09-11T15:28:59.255Z","downloads":0,"keywords":[],"search_terms":["prediction","multicomponent","inorganic","atmospheric","aerosol","behavior","ansari","pandis"],"title":"Prediction of multicomponent inorganic atmospheric aerosol behavior","year":1999}