Coupling of organic and inorganic aerosol systems and the effect on gas-particle partitioning in the southeastern US

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Abstract

Several models were used to describe the partitioning of ammonia, water, and organic compounds between the gas and particle phases for conditions in the southeastern US during summer 2013. Existing equilibrium models and frameworks were found to be sufficient, although additional improvements in terms of estimating pure-species vapor pressures are needed. Thermodynamic model predictions were consistent, to first order, with a molar ratio of ammonium to sulfate of approximately 1.6 to 1.8 (ratio of ammonium to 2× sulfate, RN=2S ≈0.8 to 0.9) with approximately 70% of total ammonia and ammonium (NHx) in the particle. Southeastern Aerosol Research and Characterization Network (SEARCH) gas and aerosol and Southern Oxidant and Aerosol Study (SOAS) Monitor for AeRosols and Gases in Ambient air (MARGA) aerosol measurements were consistent with these conditions. CMAQv5.2 regional chemical transport model predictions did not reflect these conditions due to a factor of 3 overestimate of the nonvolatile cations. In addition, gas-phase ammonia was overestimated in the CMAQ model leading to an even lower fraction of total ammonia in the particle. Chemical Speciation Network (CSN) and aerosol mass spectrometer (AMS) measurements indicated less ammonium per sulfate than SEARCH and MARGA measurements and were inconsistent with thermodynamic model predictions. Organic compounds were predicted to be present to some extent in the same phase as inorganic constituents, modifying their activity and resulting in a decrease in [H+]air (H+ in μgm-3 air), increase in ammonia partitioning to the gas phase, and increase in pH compared to complete organic vs. inorganic liquid-liquid phase separation. In addition, accounting for nonideal mixing modified the pH such that a fully interactive inorganic-organic system had a pH roughly 0.7 units higher than predicted using traditional methods (pH=1.5 vs. 0.7). Particle-phase interactions of organic and inorganic compounds were found to increase partitioning towards the particle phase (vs. gas phase) for highly oxygenated (O : C≥0.6) compounds including several isoprene-derived tracers as well as levoglu-cosan but decrease particle-phase partitioning for low O: C, monoterpene-derived species.

Figures

  • Figure 1. Molar ratios of aerosol ammonium to 2× sulfate (RN/2S) (a, b) and cations to anions (R+/−) (c, d) over the eastern US for 1 June–15 July 2013 based on observations and predicted by the CMAQ model.
  • Figure 2. Gas–particle partitioning of ammonia (NHx Fp = ammonium/(ammonia+ ammonium)), mean RN/2S (red ×), and mean R+/− (blue ◦) for PM1 measured with the Georgia Tech AMS (Xu et al., 2015a) and PM2.5 measured with a MARGA (Allen et al., 2015) as well as predicted by a CMAQ regional chemical transport model calculation and box models for SOAS conditions at CTR. Fp box plots indicate the maximum, 75th percentile, median, 25th percentile, and minimum. Short dashes within the box plots indicate the mean Fp. Box model inputs were either the aerosol (A) or aerosol and gas concentrations (A+G). Box models were run with either the ammonium–sulfate system (A′) or including all cations and anions (A). AIOMFAC calculations assumed complete liquid–liquid phase separation between the organic-rich and electrolyte-rich phases (CLLPS) or employed a full equilibrium calculation with organic compounds in which phase separation was calculated based on composition (EQLB). Observed gas-phase ammonia concentrations are from the SEARCH network at CTR. Box plots are labeled by a letter for easier reference in the text. Shading of the box plot interquartile range distinguishes different models (CMAQ, ISORROPIA, and AIOMFAC). The horizontal lines correspond to mean observed NHx Fp (black) and RN/2S (red). A simulation is consistent with observations if it reproduces both NHx Fp and RN/2S.
  • Figure 3. Average composition of the α (electrolyte rich), β (organic rich), and single phase in terms of (a) mass (organic and inorganic components) and (b) moles (ions only) predicted by AIOMFAC using PM2.5 aerosol composition observed during SOAS. Species are stacked in the same order as indicated by the legend.
  • Table 1. [H+]air and pH predicted for PM2.5 at SOAS CTR (median± 1 standard deviation) under conditions of complete liquid– liquid phase separation between the organic-rich and electrolyterich phases (CLLPS) or in a full equilibrium calculation in which phase separation was calculated based on composition (EQLB).
  • Figure 4. (a) [H+]air and (b) pH predicted for PM2.5 using AIOMFAC. Dashed lines in (a) indicate a factor of 2 difference from the 1 : 1 line. Dashed lines in (b) represent a ±0.5 shift in pH while dotted lines represent a ±1 shift in pH. Series marked in open circles (◦) are summarized in Table 1. All calculations used the ammonium–sodium–sulfate–nitrate–chloride and organic compound system.
  • Figure 5. Observed and predicted equilibrium partitioning of organic compounds in the presence of MARGA-measured PM2.5 inorganics, expressed as Fp (a). In (b), mean bias= 1n ∑n i=1(Mi−Oi) and mean error= 1n ∑n i=1|Mi −Oi |, where Mi is the model prediction and Oi is the observation of Fp. The ratio of mean saturation concentration under EQLB compared to CLLPS conditions (c) uses predictions from the adjusted vapor pressure calculations (Adj Psat). Modeled particulate 2-methyltetrols are 50 % dimers except with Adj Psat.
  • Figure 6. Fraction of each explicit organic species in the particle as a function of hour of day between 1 June and 15 July 2013 at CTR. The 2-methyltetrols were modeled as 50 % dimers in the particle for CLLPS and EQLB. When the pure-species vapor pressure was adjusted, 2-methyltetrols were assumed to be entirely monomers. Fit is based on traditional absorptive partitioning to an organic-compounds-only phase (Eq. S1).

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Pye, H. O. T., Zuend, A., Fry, J. L., Isaacman-VanWertz, G., Capps, S. L., Appel, K. W., … Goldstein, A. H. (2018). Coupling of organic and inorganic aerosol systems and the effect on gas-particle partitioning in the southeastern US. Atmospheric Chemistry and Physics, 18(1), 357–370. https://doi.org/10.5194/acp-18-357-2018

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