Havala O. T. Pye 1, Rob Pinder 1, Ying Xie 1, Deborah Luecken 1, Bill Hutzell 1, Golam Sarwar 1, Jason Surratt 2 1 US Environmental Protection Agency 2.

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Presentation transcript:

Havala O. T. Pye 1, Rob Pinder 1, Ying Xie 1, Deborah Luecken 1, Bill Hutzell 1, Golam Sarwar 1, Jason Surratt 2 1 US Environmental Protection Agency 2 University of North Carolina at Chapel Hill Potential role of isoprene epoxydiols in organic aerosol formation over the United States Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division 15 October 2012

Current CMAQ Performance 1 CMAQ underestimates OC compared to surface networks (especially in summer) CMAQ 4.7 [Carlton et al. 2010]

Current CMAQ Performance 2 CMAQ underestimates OC compared to surface networks (especially in summer) CMAQ 4.7 [Carlton et al. 2010]CMAQ 5.0 [Pye and Pouliot 2012]

Isoprene is a significant contributor to SOA 3 Isoprene is the largest non-methane VOC emission Even a small aerosol yield makes isoprene an important SOA source Isoprene tracers found to account for 7.9% of ambient OC in Yorkville, GA [Lin et al. 2012] Total OC

Isoprene is a significant contributor to SOA 4 Isoprene is the largest non-methane VOC emission Even a small aerosol yield makes isoprene an important SOA source Isoprene tracers found to account for 7.9% of ambient OC in Yorkville, GA [Lin et al. 2012] Objectives Explore a new way of modeling isoprene SOA based on recent developments Determine how the new parameterization differs from the standard parameterization Total OC

CMAQ v5.01 Isoprene SOA (same as v4.7 Carlton et al. 2010, ES&T) 5 Isoprene + OH SVISO1 SVISO2 AISO1 AISO2 Odum 2-product

CMAQ v5.01 Isoprene SOA (same as v4.7 Carlton et al. 2010, ES&T) 6 Isoprene + OH SVISO1 SVISO2 AISO1 AISO2 AOLGB AISO3 H+ Odum 2-product Acid Enhanced Oligomerized

IEPOX as Precursor to SOA 7 [Surratt et al. 2010, PNAS]

IEPOX as Precursor to SOA 8 [Surratt et al. 2010, PNAS]

Aerosol from IEPOX Uptake 9 Why heterogeneous uptake? –Vapor pressure of IEPOX relatively high (C* > 10 4 μg m −3 ) –Henry’s Law coefficient for IEPOX is large Henry’s Law Coefficient [M atm −1 ] HNO × 10 5 Glyoxal3.6 × 10 5 IEPOX1.9 × 10 7 to 9.6 × 10 8 [Chan et al. 2010]

Aerosol from IEPOX Uptake 10 Why heterogeneous uptake? –Vapor pressure of IEPOX relatively high (C* > 10 4 μg m −3 ) –Henry’s Law coefficient for IEPOX is large – Acid catalyzed particle phase reactions can be irreversible Henry’s Law Coefficient [M atm −1 ] HNO × 10 5 Glyoxal3.6 × 10 5 IEPOX1.9 × 10 7 to 9.6 × 10 8 [Chan et al. 2010] [Eddingsaas et al. 2010]

Aerosol from IEPOX Uptake 11 CMAQ implementation - SAPRC07TC chemistry updated to include IEPOX formation as well as greater speciation of nitrates [Xie et al. 2012, ACPD in press] - Heterogeneous uptake of IEPOX onto accumulation mode aerosol   = [Liggio et al. 2005; Lin et al. 2012]  Simulations for late July-August 2006 IEPOX AIEPOX

CMAQ IEPOX Predictions 12 Gas-Phase IEPOXStandard Isoprene Aerosol  gC/m 3

CMAQ IEPOX Predictions 13 Concentration of gas-phase IEPOX indicates significant SOA potential IEPOX not necessarily highest in locations where we currently predict the most isoprene SOA -For example: Atlanta, Charlotte -IEPOX requires low-NO x conditions to form Gas-Phase IEPOXStandard Isoprene Aerosol  gC/m 3

Total IEPOX Increase with Uptake 14 Fractional Increase (With Uptake - Without)/Without

Total IEPOX Increase with Uptake 15 Total IEPOX (gas+aerosol) increases due to protection against OH reaction –Lifetime of gas-phase IEPOX against OH ~ couple hours –Lifetime of gas-phase IEPOX against uptake ~ less than 30 min at peak Fractional Increase (With Uptake - Without)/Without

New Parameterization Increases total Aerosol OC 16 Likely to result in improved model performance (reduces underestimate in OC) Given  uncertainty, not clear if model is improved for the right reason OC  gC/m 3 ] Change in total OC compared to standard isoprene SOA simulation

A Closer Look at the Southeast 17 IEPOX SOA  g/m 3 ] SouthEastern Aerosol Research and Characterization (SEARCH) Network

Diurnal Variation Different 18 normalized concentration

Diurnal Variation Different 19 Heterogeneous SOA typically peaks in AM then decreases, sometimes with an evening peak at the AL sites Standard SOA increases throughout day and peaks in afternoon/evening normalized concentration

Diurnal Variation in Standard SOA 20 normalized concentration Total semivolatile 2 (AISO2+SVISO2) Standard Isoprene SOA POC

Diurnal Variation in Standard SOA 21 influences: (1) production of second semivolatile product, (2) POA, (3) temperature normalized concentration Total semivolatile 2 (AISO2+SVISO2) Standard Isoprene SOA POC

Diurnal variation in IEPOX SOA 22 normalized concentration/surface area IEPOX gas IEPOX SOA J-mode surface area

Diurnal variation in IEPOX SOA 23 normalized concentration/surface area influences: (1) aerosol surface area and (2) photochemical production of precursors IEPOX gas IEPOX SOA J-mode surface area

Summary 24 Adding the heterogeneous pathway –increases total IEPOX compared to a gas-only simulation –reveals that IEPOX aerosol is important even in urban areas –leads to more isoprene derived aerosol than standard CMAQ

Summary 25 Adding the heterogeneous pathway –increases total IEPOX compared to a gas-only simulation –reveals that IEPOX aerosol is important even in urban areas –leads to more isoprene derived aerosol than standard CMAQ Heterogeneous uptake differs from the traditional SOA parameterization in terms of –magnitude of isoprene SOA predicted –diurnal variation of isoprene SOA Future work should refine parameters used here and capture additional dependencies