Elsevier

Atmospheric Environment

Volume 32, Issue 20, 25 September 1998, Pages 3527-3531
Atmospheric Environment

Modeling urban and regional aerosols—condensation and evaporation near acid neutrality

https://doi.org/10.1016/S1352-2310(98)00059-4Get rights and content

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 that govern particulate mass concentrations 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 this paper we describe practical difficulties integrating these equations under the acid-neutral conditions common in the SoCAB. By introducing an acid equilibrium assumption, that is, the aerosol hydrogen ion concentration can be assumed to be in equilibrium with the gas-phase acidity, the mass distribution can be predicted using modest computer resources.

Introduction

Size- and composition-resolved modeling of aerosols is important to our understanding of urban and regional air pollution, and the development and evaluation of emission control strategies that comply with PM2.5 standards proposed by the US EPA. The first generation of aerosol models assumed thermodynamic equilibrium between the gas and aerosol phases for the volatile compounds to predict the total particulate mass (e.g. Russell and Cass, 1986; Bassett et al., 1991) and the particle size and composition distribution (e.g. Hogo et al., 1985; Pilinis and Seinfeld, 1988). Wexler and Seinfeld (1990) showed that equilibrium may not always hold, especially when the aerosol loading and temperature are low. In addition, even when equilibrium holds, the size distribution of the secondary compounds cannot be predicted by thermodynamic considerations alone; gas-aerosol transport must also be considered. Therefore, it is desirable for an aerosol model to explicitly simulate the transport of volatile species between gas and particles. Wexler et al. (1994) identified and analyzed the physical and chemical processes that may influence the particulate size and composition, and estimated the relative importance of each term using parameters typical in South Coast Air Basin (SoCAB). The resulting general dynamic equation was hence simplified to include only the dominant terms and algorithms for solving this equation were proposed. Recently, a hybrid model has been used to simulate SoCAB PM. The hybrid model uses a gas-aerosol equilibrium assumption to predict the gas-phase concentrations and then uses the aerosol transport moment to partition condensate over the size distribution (Lurmann et al., 1997). Although the hybrid model is computationally efficient, it introduces uncertainty in the size distribution because all aerosol sizes are combined during the thermodynamic equilibrium phase of the calculation. This may substantially alter the predicted partial pressures of the semi-volatile compounds NH3, HNO3 and HCl. In this work we solve the governing equations without employing a gas-aerosol equilibrium assumption. We discuss here some of the problems encountered in our implementation of the model to neutral acidity conditions in the SoCAB and our solutions to these problems. Neutral acidity aerosols are common in urban areas of western North America and western Europe. In the papers that will follow, we will describe the application of the model to two episodes from Southern California Air Quality Study (SCAQS).

Section snippets

The imade equation

The spatial and temporal variation, chemical composition and size distribution of atmospheric aerosols are influenced by a host of physical and chemical processes including emission and deposition, condensation and evaporation, advection and turbulent diffusion, coagulation, nucleation, gravitational settling, and aerosol-phase chemical reactions. Under the assumption of internally mixed aerosol, i.e., the particles of the same size have identical chemical composition, these processes are

The host gas-phase model and the aerosol module

Because secondary aerosol species are formed, by definition, by gas-phase processes, we must solve Eq. (1)in conjunction with a similar equation that describes the dynamics of the gas-phase species; therefore we must solve Eq. (1)within a host gas-phase airshed model. In this work we use version IV of the Urban Airshed Model (UAM) (SAI, 1990aSAI, 1990bSAI, 1990cSAI, 1990dSAI, 1990e) with improvements by Lurmann et al. (1997) which include: (1) a flexible gas-phase chemical mechanism interface

Acid equilibrium

One prominent characteristic in the western United States is that aerosol acidity is often neutralized by ammonia, and the mole fraction of hydrogen ions is typically less than 3% of the total cations. This scarcity of hydrogen ions has special significance in our understanding of the physical nature of condensation and evaporation in near acid neutral circumstances.

Let us consider the time scales over which the aerosol inorganic concentrations change significantly. For hydrogen ion this time

Coupled condensation/evaporation

Wexler and Seinfeld (1990) obtained expressions for the flux of acid and ammonia onto a particle for both the coupled and uncoupled situations. Using their flux expressions in the definition of Hi we obtainHi=πDpD̄C̄(1+β)m1−1−4CNH3, ∞CHX,∞−KNH4xC̄2(1+β)2(coupled)whenever the acid and base condensation is coupled, where D̄=DNH3DHX is the average diffusivity, C̄=(DNH3CNH3,∞+DHXCHX,∞)/D̄ is the diffusion weighted average of the concentrations far from the particle, β=2λ/(αDp) where λ is the mean

Conclusions

An important idea in the aerosol model developed by Wexler et al. (1994) is the desirability of explicitly modeling the transport of volatile species between gas and particles as opposed to assuming equilibrium between these phases. In this paper we described some difficulties encountered in our attempt to implement the model under the special conditions in the SoCAB and introduced the acid equilibrium assumption to solve these problems. That is, for the near acid-neutral aerosols, the aerosol

Acknowledgements

Support for this work was provided by EPA grant CR 823634-01, California Air Resources Board grant 92-311, and the IBM Environmental Research Program.

References (24)

  • Bassett, M. E., Cassmassi, J. C., Durkee, K. R. and Hogo, H. (1991) Final air quality management plan, 1991 revision....
  • A. Bott

    A positive definite advection scheme obtained by nonlinear renormalization of the advective fluxes

    Monthly Weather Review

    (1989)
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