Modeling the diurnal variation of nitrate during the Pittsburgh Air Quality Study. Takahama, S., Wittig, A., E., Vayenas, D., V., Davidson, C., I., & Pandis, S., N. J. Geophys. Res.-Atmos., 2004. abstract bibtex A thermodynamic model, the Gibbs Free-Energy
Minimization model (GFEMN), was used to simulate the partitioning
of PM2.5 nitrate aerosol and nitric acid using highly time-resolved
inorganic measurements collected at the Pittsburgh Air Quality
Study during July 2001 and January 2002. Model results were
evaluated using independent, high time resolution measurements of
aerosol nitrate. The mean observed concentration in July was 0.6
mug/m(3) and 2.1 mug/m(3) in January. Model predictions were in
agreement with the observations within 0.5 mug/m(3) on average,
with measurement uncertainties often accounting for these
discrepancies. The simulations were run assuming particles were
liquid in July for all relative humidities (RHs) and solid below
60% RH in January. For both seasons the assumed physical state did
not influence considerably the overall agreement with observations.
The assumption of particle mixing state did appear to influence
model error; however, assuming that particles were externally mixed
during low RH periods in July improved agreement significantly. The
exceptional sensitivity of predicted aerosol nitrate to ammonia in
western Pennsylvania suggests that reductions in PM2.5 may be
assisted by reductions in ammonia emissions.
C1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.
CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA. Univ
Ioannina, Dept Environm & Nat Resources Management, GR-30100
Agrinion, Greece. Carnegie Mellon Univ, Dept Civil & Environm
Engn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept Engn &
Publ Policy, Pittsburgh, PA 15213 USA.
@article{
title = {Modeling the diurnal variation of nitrate during the Pittsburgh Air Quality Study},
type = {article},
year = {2004},
volume = {109},
id = {0a52f899-0a5d-39c5-a90b-a1791b68642c},
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},
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confirmed = {true},
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citation_key = {Takahama:JGRA:2004a},
source_type = {article},
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abstract = {A thermodynamic model, the Gibbs Free-Energy
Minimization model (GFEMN), was used to simulate the partitioning
of PM2.5 nitrate aerosol and nitric acid using highly time-resolved
inorganic measurements collected at the Pittsburgh Air Quality
Study during July 2001 and January 2002. Model results were
evaluated using independent, high time resolution measurements of
aerosol nitrate. The mean observed concentration in July was 0.6
mug/m(3) and 2.1 mug/m(3) in January. Model predictions were in
agreement with the observations within 0.5 mug/m(3) on average,
with measurement uncertainties often accounting for these
discrepancies. The simulations were run assuming particles were
liquid in July for all relative humidities (RHs) and solid below
60% RH in January. For both seasons the assumed physical state did
not influence considerably the overall agreement with observations.
The assumption of particle mixing state did appear to influence
model error; however, assuming that particles were externally mixed
during low RH periods in July improved agreement significantly. The
exceptional sensitivity of predicted aerosol nitrate to ammonia in
western Pennsylvania suggests that reductions in PM2.5 may be
assisted by reductions in ammonia emissions.
C1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.
CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA. Univ
Ioannina, Dept Environm & Nat Resources Management, GR-30100
Agrinion, Greece. Carnegie Mellon Univ, Dept Civil & Environm
Engn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept Engn &
Publ Policy, Pittsburgh, PA 15213 USA.},
bibtype = {article},
author = {Takahama, S and Wittig, A E and Vayenas, D V and Davidson, C I and Pandis, S N},
journal = {J. Geophys. Res.-Atmos.}
}
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Model results were\nevaluated using independent, high time resolution measurements of\naerosol nitrate. The mean observed concentration in July was 0.6\nmug/m(3) and 2.1 mug/m(3) in January. Model predictions were in\nagreement with the observations within 0.5 mug/m(3) on average,\nwith measurement uncertainties often accounting for these\ndiscrepancies. The simulations were run assuming particles were\nliquid in July for all relative humidities (RHs) and solid below\n60% RH in January. For both seasons the assumed physical state did\nnot influence considerably the overall agreement with observations.\nThe assumption of particle mixing state did appear to influence\nmodel error; however, assuming that particles were externally mixed\nduring low RH periods in July improved agreement significantly. The\nexceptional sensitivity of predicted aerosol nitrate to ammonia in\nwestern Pennsylvania suggests that reductions in PM2.5 may be\nassisted by reductions in ammonia emissions.\nC1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.\nCUNY City Coll, Dept Civil Engn, New York, NY 10031 USA. Univ\nIoannina, Dept Environm & Nat Resources Management, GR-30100\nAgrinion, Greece. Carnegie Mellon Univ, Dept Civil & Environm\nEngn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept Engn &\nPubl Policy, Pittsburgh, PA 15213 USA.","bibtype":"article","author":"Takahama, S and Wittig, A E and Vayenas, D V and Davidson, C I and Pandis, S N","journal":"J. Geophys. Res.-Atmos.","bibtex":"@article{\n title = {Modeling the diurnal variation of nitrate during the Pittsburgh Air Quality Study},\n type = {article},\n year = {2004},\n volume = {109},\n id = {0a52f899-0a5d-39c5-a90b-a1791b68642c},\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 = {Takahama:JGRA:2004a},\n source_type = {article},\n private_publication = {false},\n abstract = {A thermodynamic model, the Gibbs Free-Energy\nMinimization model (GFEMN), was used to simulate the partitioning\nof PM2.5 nitrate aerosol and nitric acid using highly time-resolved\ninorganic measurements collected at the Pittsburgh Air Quality\nStudy during July 2001 and January 2002. Model results were\nevaluated using independent, high time resolution measurements of\naerosol nitrate. The mean observed concentration in July was 0.6\nmug/m(3) and 2.1 mug/m(3) in January. Model predictions were in\nagreement with the observations within 0.5 mug/m(3) on average,\nwith measurement uncertainties often accounting for these\ndiscrepancies. The simulations were run assuming particles were\nliquid in July for all relative humidities (RHs) and solid below\n60% RH in January. For both seasons the assumed physical state did\nnot influence considerably the overall agreement with observations.\nThe assumption of particle mixing state did appear to influence\nmodel error; however, assuming that particles were externally mixed\nduring low RH periods in July improved agreement significantly. The\nexceptional sensitivity of predicted aerosol nitrate to ammonia in\nwestern Pennsylvania suggests that reductions in PM2.5 may be\nassisted by reductions in ammonia emissions.\nC1 Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA.\nCUNY City Coll, Dept Civil Engn, New York, NY 10031 USA. Univ\nIoannina, Dept Environm & Nat Resources Management, GR-30100\nAgrinion, Greece. Carnegie Mellon Univ, Dept Civil & Environm\nEngn, Pittsburgh, PA 15213 USA. Carnegie Mellon Univ, Dept Engn &\nPubl Policy, Pittsburgh, PA 15213 USA.},\n bibtype = {article},\n author = {Takahama, S and Wittig, A E and Vayenas, D V and Davidson, C I and Pandis, S N},\n journal = {J. Geophys. 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