Abstract
Mathematically predicting the size and composition distribution of atmospheric aerosols can help to elucidate the complex link between emissions and particulate air quality. Wexler et al. (1994) identified and analyzed the atmospheric aerosol processes and estimated the relative importance of each term using parameters typical in South Coast Air Basin (SoCAB). The result was a general dynamic equation including only the relevant terms. In a previous paper we described practical difficulties integrating these equations under the acid-neutral conditions common in the SoCAB and introduced an acid equilibrium assumption, that is, the aerosol hydrogen ion concentration can be assumed to be in equilibrium with the gas-phase acidity. In this paper we use the model to predict the size and composition distribution of PM during the 24-25 June 1981 SCAQS episode. The predicted size distribution is compared to the SCAQS measurement data by John et al. (1989a, b, 1990).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3533-3545 |
| Number of pages | 13 |
| Journal | Atmospheric Environment |
| Volume | 32 |
| Issue number | 20 |
| DOIs | |
| State | Published - Sep 25 1998 |
| Externally published | Yes |
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Keywords
- Acid equilibrium
- Aerosol composition distribution
- Aerosol model
- Aerosol size distribution
- SCAQS
ASJC Scopus subject areas
- Atmospheric Science
- Environmental Science(all)
- Pollution
Cite this
Modeling urban and regional aerosols near acid neutrality - Application to the 24-25 June SCAQS episode. / Sun, Qing; Wexler, Anthony S.
In: Atmospheric Environment, Vol. 32, No. 20, 25.09.1998, p. 3533-3545.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Modeling urban and regional aerosols near acid neutrality - Application to the 24-25 June SCAQS episode
AU - Sun, Qing
AU - Wexler, Anthony S.
PY - 1998/9/25
Y1 - 1998/9/25
N2 - Mathematically predicting the size and composition distribution of atmospheric aerosols can help to elucidate the complex link between emissions and particulate air quality. Wexler et al. (1994) identified and analyzed the atmospheric aerosol processes and estimated the relative importance of each term using parameters typical in South Coast Air Basin (SoCAB). The result was a general dynamic equation including only the relevant terms. In a previous paper we described practical difficulties integrating these equations under the acid-neutral conditions common in the SoCAB and introduced an acid equilibrium assumption, that is, the aerosol hydrogen ion concentration can be assumed to be in equilibrium with the gas-phase acidity. In this paper we use the model to predict the size and composition distribution of PM during the 24-25 June 1981 SCAQS episode. The predicted size distribution is compared to the SCAQS measurement data by John et al. (1989a, b, 1990).
AB - Mathematically predicting the size and composition distribution of atmospheric aerosols can help to elucidate the complex link between emissions and particulate air quality. Wexler et al. (1994) identified and analyzed the atmospheric aerosol processes and estimated the relative importance of each term using parameters typical in South Coast Air Basin (SoCAB). The result was a general dynamic equation including only the relevant terms. In a previous paper we described practical difficulties integrating these equations under the acid-neutral conditions common in the SoCAB and introduced an acid equilibrium assumption, that is, the aerosol hydrogen ion concentration can be assumed to be in equilibrium with the gas-phase acidity. In this paper we use the model to predict the size and composition distribution of PM during the 24-25 June 1981 SCAQS episode. The predicted size distribution is compared to the SCAQS measurement data by John et al. (1989a, b, 1990).
KW - Acid equilibrium
KW - Aerosol composition distribution
KW - Aerosol model
KW - Aerosol size distribution
KW - SCAQS
UR - http://www.scopus.com/inward/record.url?scp=0344269348&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0344269348&partnerID=8YFLogxK
U2 - 10.1016/S1352-2310(98)00060-0
DO - 10.1016/S1352-2310(98)00060-0
M3 - Article
AN - SCOPUS:0344269348
VL - 32
SP - 3533
EP - 3545
JO - Atmospheric Environment
JF - Atmospheric Environment
SN - 1352-2310
IS - 20
ER -