Modelling urban and regional aerosols-II. Application to California's south coast air basin

F. W. Lurmann, A. S. Wexler, S. N. Pandis, S. Musarra, N. Kumar, J. H. Seinfeld

Research output: Contribution to journalArticle

124 Scopus citations

Abstract

A three-dimensional gas/aerosol atmospheric model is presented that predicts the size-resolved concentrations of all major primary and secondary components of atmospheric particulate matter (PM), including sulfate, nitrate, ammonium, chloride, sodium, elemental carbon, organic carbon, water, and crustal material. Aerosol size resolution is based on a sectional representation, typically extending from 0.01 to 10 μm for aerosols and from 0.01 to 30 μm when fog is present. The model is based on an internally mixed aerosol, wherein all particles in a specific size range are assumed to have the same chemical composition. Gas/aerosol equilibrium is computed based on the SEQUILIB algorithm of Pilinis and Seinfeld. An empirical fog model is included that approximates the effect of fogs on gas-phase photolysis rates, on aqueous-phase chemical reactions of sulfate and nitrate, and on the growth and shrinkage of the aerosol/fog droplet size distribution. The model is applied to simulate atmospheric conditions in the South Coast Air Basin of California during the 24-25 June 1987 episode of the Southern California Air Quality Study (SCAQS). The sensitivity of predicted aerosol levels to changes in source emissions is investigated.

Original languageEnglish (US)
Pages (from-to)2695-2715
Number of pages21
JournalAtmospheric Environment
Volume31
Issue number17
DOIs
StatePublished - Sep 1997
Externally publishedYes

Keywords

  • Atmospheric model
  • Gas/aerosol
  • Particulate matter

ASJC Scopus subject areas

  • Atmospheric Science
  • Environmental Science(all)
  • Pollution

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    Lurmann, F. W., Wexler, A. S., Pandis, S. N., Musarra, S., Kumar, N., & Seinfeld, J. H. (1997). Modelling urban and regional aerosols-II. Application to California's south coast air basin. Atmospheric Environment, 31(17), 2695-2715. https://doi.org/10.1016/S1352-2310(97)00100-3