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CMAQ model as a tool for generating input data for HM and POP modeling

This paper discusses the use of the CMAQ modeling system to support the modeling of heavy metals (HMs) and persistent organic pollutants (POPs), including the generation of input data and experimental runs. It also compares the modeling results with EMEP measurements and discusses the use of CMAQ results for POP modeling.

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CMAQ model as a tool for generating input data for HM and POP modeling

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  1. 8th TFMM meeting, Dessau, 2007 CMAQ model as a tool for generating input data for HM and POP modeling Alexey Gusev, Victor Shatalov, Oleg Travnikov

  2. 8th TFMM meeting, Dessau, 2007 CMAQ use to support modeling of HMs and POPs meteorological input Meteorological preprocessor MM5 data on aerosol, reactants, SO2 , etc. CMAQ modeling system MSCE-HM and MSCE-POP models

  3. 8th TFMM meeting, Dessau, 2007 CMAQ use to support modeling of HMs and POPs • Information on specificaerosol surface - input for MSCE-POP model to calculate gas-particle partitioning of POPs • Information on OH radical - input for MSCE-POP model to calculate degradation of POPs • Information on SO2 , ozone, OH radical – input for MSCE-HM model to calculate Hg chemical transformations • Experimental runs and process analysis studies with CMAQ for selected HMs and POPs • Experimental runs with finer spatial resolution

  4. 8th TFMM meeting, Dessau, 2007 Community Multi-scale Air Quality model Emission processor SMOKE Meteorological preprocessor MM5 CMAQ modeling system: MCIP Meteorological-chemical interface JPROC Photolysis rate processor ICON Initial conditions processor BCON Boundary conditions processor CCTM Chemical-transport model

  5. 8th TFMM meeting, Dessau, 2007 Community Multi-scale Air Quality model • Horizontal and vertical advection • Mass conservation adjustment for advection processes • Horizontal and vertical diffusion • Aerosol dynamics, thermodynamics, and chemistry • Gas-phase chemical reactions • Aqueous-phase reactions and cloud mixing • Plume-in-grid treatment • Photolytic rate computation • Process analysis

  6. 8th TFMM meeting, Dessau, 2007 Emission data sources for CMAQ CMAQ was run with following emission data for 2000: • SO2, NOx, NH3, NMVOC, CO (anthropogenic) • from EMEP database (webdab.emep.int) • SO2, NOx, NH3, NMVOC (natural) • from GEIA database (www.geiacenter.org) • Dust, dimethyl sulfide • from AEROCOM (nansen.ipsl.jussieu.fr/AEROCOM) • Elemental and organic carbon • from University of Illinois (cee.uiuc.edu)

  7. 8th TFMM meeting, Dessau, 2007 CMAQ modeling results Aerosol surface area PM10 PM2.5 SO2 Ozone OH radical

  8. 8th TFMM meeting, Dessau, 2007 Comparison with EMEP measurements PM10 PM2.5 Mod mean – 13.1 Obs mean – 15.3 Correlation – 0.67 Mod mean – 12.2 Obs mean – 10.7 Correlation – 0.70 Measured and computed by CMAQ annual mean air concentrations of aerosol particles (2000)

  9. 8th TFMM meeting, Dessau, 2007 Comparison with EMEP measurements: SO2 Measured and computed by CMAQ monthly mean air concentrations of SO2 (2000)

  10. 8th TFMM meeting, Dessau, 2007 Comparison with EMEP measurements: Ozone Measured and computed by CMAQ monthly mean air concentrations of Ozone (2000)

  11. 8th TFMM meeting, Dessau, 2007 Modeling results for SO2 CMAQ model MSC-W model Annual mean air concentrations of SO2 obtained by CMAQ model and MSC-W model (2000)

  12. 8th TFMM meeting, Dessau, 2007 Hemispheric/regional/local modeling 150x150 km2 Experimental runs of CMAQ for SO2 (Russian Federation project)

  13. 8th TFMM meeting, Dessau, 2007 Hemispheric/regional/local modeling 150x150 km2 50x50 km2 Experimental runs of CMAQ for SO2 (Russian Federation project)

  14. 8th TFMM meeting, Dessau, 2007 Hemispheric/regional/local modeling 150x150 km2 50x50 km2 17x17 km2 Experimental runs of CMAQ for SO2 (Russian Federation project)

  15. 8th TFMM meeting, Dessau, 2007 Use of CMAQ results for POP modeling OH radical Aerosol surface area This information was used for the description of: POP degradation Gas/particle partitioning of POPs

  16. 8th TFMM meeting, Dessau, 2007 Use of CMAQ results for POP modeling B[a]P air concentrations Comparison of MSCE-POP model with EMEP measurements

  17. 8th TFMM meeting, Dessau, 2007 Use of CMAQ results for POP modeling B[a]P air concentrations The effect of use of detailed information on OH radical and specific aerosol surface

  18. 8th TFMM meeting, Dessau, 2007 Comparison of MSCE-HM and CMAQ results for Pb and Cd MSCE-HM and CMAQ were run with the following information: • Same meteorological data for 2000 • On the basis of officially submitted emission data • Tentative parameterization of HM re-suspension from soil and seawater Measurements of EMEP monitoring network were used for the comparison

  19. 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Pb Annual mean air concentrations(2000) MSCE-HM CMAQ Official data on Lead emission were used

  20. 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Pb Lead in air Lead in precipitation - 40% underestimation of measurement data - Both models tend to underestimate lower concentrations

  21. 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Cd Annual mean air concentrations(2000) MSCE-HM CMAQ Official data on Cadmium emission were used

  22. 8th TFMM meeting, Dessau, 2007 MSCE-HM and CMAQ results for Cd Cadmium in air Cadmium in precipitation - More than 60% underestimation of measurement data - Both models tend to underestimate lower concentrations

  23. 8th TFMM meeting, Dessau, 2007 Concluding remarks • Results of CMAQ on aerosol and reactants with high spatial and temporal resolution can improve modeling of HMs and POPs • MSCE-HM and CMAQ models, run on official emission data for Pb and Cd, demonstrate similar levels of concentrations underestimating measurement data • Hemispheric/regional/local modeling with MSC-E models for HMs and POPs can be further developed using experience of CMAQ model

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