Abstract

Abstract. We have developed the novel Aerosol Dynamics, gas- and particle-phase chemistry model for laboratory CHAMber studies (ADCHAM). The model combines the detailed gas-phase Master Chemical Mechanism version 3.2 (MCMv3.2), an aerosol dynamics and particle-phase chemistry module (which considers acid-catalysed oligomerization, heterogeneous oxidation reactions in the particle phase and non-ideal interactions between organic compounds, water and inorganic ions) and a kinetic multilayer module for diffusion-limited transport of compounds between the gas phase, particle surface and particle bulk phase. In this article we describe and use ADCHAM to study (1) the evaporation of liquid dioctyl phthalate (DOP) particles, (2) the slow and almost particle-size-independent evaporation of α-pinene ozonolysis secondary organic aerosol (SOA) particles, (3) the mass-transfer-limited uptake of ammonia (NH3) and formation of organic salts between ammonium (NH4+) and carboxylic acids (RCOOH), and (4) the influence of chamber wall effects on the observed SOA formation in smog chambers. ADCHAM is able to capture the observed α-pinene SOA mass increase in the presence of NH3(g). Organic salts of ammonium and carboxylic acids predominantly form during the early stage of SOA formation. In the smog chamber experiments, these salts contribute substantially to the initial growth of the homogeneously nucleated particles. The model simulations of evaporating α-pinene SOA particles support the recent experimental findings that these particles have a semi-solid tar-like amorphous-phase state. ADCHAM is able to reproduce the main features of the observed slow evaporation rates if the concentration of low-volatility and viscous oligomerized SOA material at the particle surface increases upon evaporation. The evaporation rate is mainly governed by the reversible decomposition of oligomers back to monomers. Finally, we demonstrate that the mass-transfer-limited uptake of condensable organic compounds onto wall-deposited particles or directly onto the Teflon chamber walls of smog chambers can have a profound influence on the observed SOA formation. During the early stage of the SOA formation the wall-deposited particles and walls themselves serve as an SOA sink from the air to the walls. However, at the end of smog chamber experiments the semi-volatile SOA material may start to evaporate from the chamber walls. With these four model applications, we demonstrate that several poorly quantified processes (i.e. mass transport limitations within the particle phase, oligomerization, heterogeneous oxidation, organic salt formation, and chamber wall effects) can have a substantial influence on the SOA formation, lifetime, chemical and physical particle properties, and their evolution. In order to constrain the uncertainties related to these processes, future experiments are needed in which as many of the influential variables as possible are varied. ADCHAM can be a valuable model tool in the design and analysis of such experiments.

Highlights

  • Aerosol particles in the atmosphere have substantial impact on the global climate, air quality, and public health

  • We have developed the novel Aerosol Dynamics, gas- and particle-phase chemistry model for laboratory CHAMber studies (ADCHAM)

  • ADCHAM combines the detailed gasphase chemistry from MCMv3.2; a kinetic multilayer module for diffusion-limited transport of compounds between the gas phase, particle surface and particle bulk phase; and an aerosol dynamics and particle-phase chemistry module which is based on the ADCHEM model (Roldin et al, 2011a) but with important updates, among others process-based algorithms for non-ideal interactions between water, organic and inorganic compounds, acidity-catalysed oligomerization, and oxidation of organic compounds in the particle phase

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Summary

Introduction

Aerosol particles in the atmosphere have substantial impact on the global climate, air quality, and public health. If a viscous phase is formed, the mixing within the particle bulk will be kinetically limited and the gas–particle partitioning cannot be well represented by an equilibrium process (Pöschl, 2011; Shiraiwa and Seinfeld, 2012), which the traditional partitioning theory assumes (Pankow, 1994) This may not be evident from pure SOA mass formation experiments where the condensable organic compounds are continuously formed by gas-phase oxidation of different precursor compounds In this work we test the capability of ADCHAM to simulate (1) the particle-size-dependent mass evaporation loss rates of liquid dioctyl phthalate (DOP) particles, (2) the slow and almost particle-size-independent evaporation of α-pinene SOA particles (Vaden et al, 2011), (3) the mass-transfer-limited uptake of NH3 and formation of organic salts between ammonium and carboxylic acids (Na et al, 2007; Kuwata and Martin, 2012), and (4) the influence of heterogeneous reactions and chamber wall effects on the SOA formation and properties. As a final application, we illustrate how ADCHAM can be used to study the influence of chamber wall effects on the SOA mass formation, particle number size distribution and gasphase chemistry during an m-xylene oxidation experiment by Nordin et al (2013)

Model description
Aerosol dynamics
Condensation and evaporation
Coagulation
Deposition and chamber wall effects
Size distribution structures
Activity coefficients and organic–inorganic interactions
Acidity and dissociation of inorganic compounds in organic-rich phases
Inorganic and organic salt formation
Acid-catalysed oligomerization
Kinetic multilayer model
Diffusion of organic and inorganic compounds
Diffusion of oxidation agents and reactions with SOA
Model applications
Simulations of DOP particle evaporation
Evaporation of α-pinene SOA
Evaporation of pure monomer SOA particles
Evaporation governed by mass-transport-limited mixing and dimer degradation
Modelling of organic salt formation between carboxylic acids and ammonia
SOA formation from oxidation of m-xylene
Particle deposition loss rates
Gas–particle partitioning and heterogeneous reactions
Findings
Summary and conclusions
Full Text
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