Modeling urban and regional aerosols near acid neutrality - Application to the 24-25 June SCAQS episode

Qing Sun, Anthony S. Wexler

Research output: Contribution to journalArticle

37 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)3533-3545
Number of pages13
JournalAtmospheric Environment
Volume32
Issue number20
DOIs
StatePublished - Sep 25 1998
Externally publishedYes

Fingerprint

Atmospheric aerosols
Aerosols
Coastal zones
pH
aerosol
Acids
acid
Air
Chemical analysis
Air quality
Acidity
modeling
coast
air
basin
acidity
air quality
Gases
hydrogen
ion

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 journalArticle

@article{632bd3171d2c414e9315878b597fa7ff,
title = "Modeling urban and regional aerosols near acid neutrality - Application to the 24-25 June SCAQS episode",
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).",
keywords = "Acid equilibrium, Aerosol composition distribution, Aerosol model, Aerosol size distribution, SCAQS",
author = "Qing Sun and Wexler, {Anthony S.}",
year = "1998",
month = "9",
day = "25",
doi = "10.1016/S1352-2310(98)00060-0",
language = "English (US)",
volume = "32",
pages = "3533--3545",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Pergamon Press Ltd.",
number = "20",

}

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 -