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Modeling Dynamic Partitioning of Semi-volatile Organic Gases to Size-Distributed Aerosols Rahul A. Zaveri Richard C. Easter Pacific Northwest National.

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Presentation on theme: "Modeling Dynamic Partitioning of Semi-volatile Organic Gases to Size-Distributed Aerosols Rahul A. Zaveri Richard C. Easter Pacific Northwest National."— Presentation transcript:

1 Modeling Dynamic Partitioning of Semi-volatile Organic Gases to Size-Distributed Aerosols Rahul A. Zaveri Richard C. Easter Pacific Northwest National Laboratory 1 International Workshop on Air Quality Forecasting Research November 29, 2011 Potomac, MD, USA

2 2 Motivation SOA formation processes SOA modeling challenges MOSAIC aerosol modeling framework Gas-particle partitioning of organic gases (new) Sample results Future Directions Outline

3 3Battelle Propriet ary Dust Phytoplankton Dimethylsulfide H 2 SO 4, MSA Oxidation Soot Sea-salt Direct Radiative Forcing Indirect Radiative Forcing Terpenes Oxidation Forest Fires Nucleation Hydrocarbons, NO x, SO 2, NH 3, POA Oxidation H 2 SO 4, HNO 3, Organic aerosol Activation Resuspension chemistry Need to efficiently and reliably model aerosol size, number, mass, composition, and their climate related properties at urban to global scales

4 4 Up to 90% of submicron aerosol mass is composed of organics (Kanakidou et al., 2005; Zhang et al., 2007) SOA formation is quite rapid (within a few hours) during daytime (Volkamer et al., 2006; Kleinman et al., 2007; de Gouw et al., 2008) SOA from oxidation of SVOCs from diesel exhaust may help explain some of the missing organic aerosol mass in models (Robinson et al., 2007) Observed rapid growth of newly formed particles (via homogeneous nucleation) is thought to be by SOA condensation (Kuang et al., 2008) Anthropogenic and biogenic SOA precursors may interact to enhance the overall SOA yield (Weber et al., 2007) Particle-phase reactions of absorbed VOCs within inorganic particles can form SOA (Jang et al., 2003; Kroll et al., 2005; Liggio et al., 2005) Accretion reactions, including aldol condensation, acid dehydration, and gem- diol condensation can transform VOCs into oligomeric compounds (Gao et al., 2004; Jang et al., 2003; Kalberer et al., 2004) SOA Formation Processes

5 5 Gas-particle partitioning processes are still poorly understood at a fundamental level How do we handle the complexities in the gas-phase VOC chemistry? Should we use Raoult’s Law or some sort of reactive uptake formulation as driving force for gas-particle mass transfer? Should we use Henry’s Law if the organics are dissolved in the aqueous phase? Are the organic particles liquid or solid? Virtanen et al. (2011) and Vaden et al. (2011) suggest that SOA particles are solid. How do we treat organic-inorganic interactions and the associated phase transitions? How do we treat particle-phase reactions? What are the time scales? What are the anthropogenic-biogenic interactions? How do we reliably represent them in models? SOA Modeling Challenges

6 6 General Problem Solving Approach Develop a comprehensive aerosol model framework that includes all the processes that we think are (or might be) important Evaluate the roles of specific processes using appropriate laboratory and field observations Simplify, parameterize, and optimize the process model as much as possible to increase computational efficiency and decrease memory requirements

7 MOSAIC Aerosol Module Model for Simulating Aerosol Interactions and Chemistry (Zaveri et al., 2008) Comprehensive aerosol module for air quality and climate modeling Flexible framework for coupling various gas and aerosol processes Robust, accurate, and highly efficient custom numerical solvers for several processes Suitable for 3-D regional and global models Implementation in: Weather Research and Forecasting Model (WRF-Chem) – done Global model: Community Atmosphere Model (CAM5) – in progress EPA’s CMAQ – planned

8 Thermodynamics & Mass Transfer Treatments in MOSAIC H 2 SO 4 HNO 3 HCl Solid Salts Aqueous Phase OM, BC NH 3 H2OH2O OH - NO 3 - Cl - SO 4 - Na + NH 4 + H+H+ Ca 2+ Particle Phase Thermodynamic equilibrium within the particle phase (depends on composition and RH) Kinetic mass transfer between the gas and size-distributed particles (1 to 10,000 nm) Custom numerical techniques have been developed to solve these equations efficiently and accurately Reversible Gas-Particle Reactions

9 9 Organic-inorganic interactions within the particle to determine water uptake and phase separation (partially implemented) Size-distributed, dynamic mass transfer between gas and particles Raoult’s Law in the absence of aqueous phase (implemented) Reactive uptake that instantly converts VOC to non-volatile products (implemented) Henry’s Law in the presence of aqueous phase (future) Particle-phase reactions (future) Gas-Particle Partitioning of Organics Organics H 2 SO 4 HNO 3 HCl Salts, BC, Org Particle Phase NH 3 H2OH2O OH - NO 3 - Cl - SO 4 - Na + NH 4 + H+H+ Ca 2+ Gas Phase Org Oligomer

10 10 Raoult’s Law vs. Reactive Uptake HC + oxidant   1 G 1 +  2 G 2 dG i dt x i = mole fraction vapor pressure A 1 A 2 = -k i (G i – x i P i 0 ) Raoult’s Law Based Mass Transfer HC + oxidant   1 G 1 +  2 G 2 dG i dt A 1 A 2 = -k i G i Reactive Uptake Mass Transfer

11 Sample Results Idealized Case Sacramento Urban Air Case

12 Idealized Case Initial aerosol composition: mass ratio OA/(NH 4 ) 2 SO 4 = 1

13 Idealized Case Initial aerosol composition: mass ratio OA/(NH 4 ) 2 SO 4 = 1

14 Idealized Case Initial aerosol composition: mass ratio OA/(NH 4 ) 2 SO 4 = 1

15 Sacramento June 6, 2010 Initial aerosol composition: mass ratio OA/(NH 4 ) 2 SO 4 = 10

16 Sacramento June 6, 2010 Initial aerosol composition: mass ratio OA/(NH 4 ) 2 SO 4 = 10

17 Sacramento June 6, 2010 Initial aerosol composition: mass ratio OA/(NH 4 ) 2 SO 4 = 10

18 18 Sacramento June 6, 2010 Aitken mode mass ratio OA/(NH 4 ) 2 SO 4 = 10 Accumulation mode mass ratio OA/(NH 4 ) 2 SO 4 = 0.01

19 19 Sacramento June 6, 2010 Aitken mode mass ratio OA/(NH 4 ) 2 SO 4 = 10 Accumulation mode mass ratio OA/(NH 4 ) 2 SO 4 = 0.01

20 Future Directions Perform additional constrained Lagrangian model analyses to test different SOA formation mechanisms Use carefully designed chamber experiments to constrain and evaluate different formulations Extend model analyses to mixtures of organic and inorganic species at different relative humidities Implement and evaluate new SOA formulations in WRF-Chem using urban to regional field observations

21 21 Thank you for your attention Funding for this work was provided by Department of Energy (DOE) Atmospheric System Research (ASR) Program


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