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Plume-in-Grid Modeling for PM & Mercury Prakash Karamchandani, Krish Vijayaraghavan, Shu-Yun Chen & Christian Seigneur AER San Ramon, CA 5th Annual CMAS Conference October 16–18, 2006 Chapel Hill, NC. Why Use Plume-in-Grid Approach?. Plume Size vs Grid Size (from Godowitch, 2004).
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Plume-in-Grid Modeling for PM & Mercury Prakash Karamchandani, Krish Vijayaraghavan, Shu-Yun Chen & Christian Seigneur AER San Ramon, CA 5th Annual CMAS Conference October 16–18, 2006 Chapel Hill, NC
Why Use Plume-in-Grid Approach? Plume Size vs Grid Size (from Godowitch, 2004) Limitations of Purely Grid-Based Approach • Artificial dilution of stack emissions • Unrealistic near-stack plume concentrations • Incorrect representation of plume chemistry • Incorrect representation of plume transport
Plume Chemistry & Relevance to PM and Mercury Modeling 3 2 Early Plume Dispersion Long-range Plume Dispersion Mid-range Plume Dispersion NO/NO2/O3 chemistry 1 Reduced VOC/NOx/O3 chemistry — acid formation from OH and NO3/N2O5 chemistry Possible reduction of HgII to Hg0 Full VOC/NOx/O3 chemistry — acid and O3 formation
Mercury Chemistry in Power Plant Plumes • Evidence of HgII reduction in power plant plumes (Edgerton et al., ES&T, 2006; Lohman et al., ES&T, 2006) • Reduction of HgII by SO2 (possibly via heterogeneous reaction on particles) is compatible with the global Hg cycling budget (Seigneur et al., J. Geophys. Res., in press)
CMAQ-MADRID-APT-Hg • Based on CMAQ v 4.5.1, March 2006 release • MADRID: Model of Aerosol Dynamics, Reaction, Ionization and Dissolution • APT: Advanced Plume Treatment with embedded plume model SCICHEM (state-of-the science treatment of stack plumes at the sub-grid scale) • Mercury treatment included • Consistent treatments for chemical transformations (gas- and aqueous-phase) and PM in the host model and the embedded plume model
Model Components CMAQ v. 4.5.1 MADRID PM Treatment with Mercury CMAQ-MADRID-Hg SCICHEM-MADRID-Hg PM and Hg Treatment based on CMAQ-MADRID-Hg CMAQ-MADRID-APT-Hg
SCICHEM • Three-dimensional puff-based model • Second-order closure approach for plume dispersion • Puff splitting and merging • Treatment of plume overlaps • Optional treatment of building downwash • Optional treatment of turbulent chemistry • PM, gas-phase and aqueous-phase chemistry treatments consistent with host model
Atmospheric Mercury • Mercury is present mostly as three “species” in the atmosphere • Elemental mercury (Hg0) • Divalent gaseous mercury: • HgCl2, Hg(OH)2, HgO, etc. • referred to collectively as HgII or reactive gaseous mercury (RGM) • Particulate-bound mercury: • HgII or Hg0 adsorbed on PM • mostly divalent • referred to collectively as Hgp
Application to Southeastern U.S. • Simulation period: 2002 • Grid resolution: 12 km x 12 km, 19 layers (up to ~15 km) • Meteorology and emissions inventory from Georgia EPD and VISTAS • Non-Hg ICs/BCs from Georgia EPD • 5 day model spinup for each quarter • Two annual simulations with CMAQ-MADRID-APT-Hg • With SO2 + HgII reduction reaction • Without this reaction
Modeling Domain and Locations of APT sources
Boundary Conditions for Mercury Species • Boundary conditions (BCs) for mercury were obtained from a 2001 simulation conducted over the United States with the Trace Element Analysis Model (TEAM) • Spatially and temporally (hourly) varying BCs of Hg0, HgII, and Hgp
Preliminary Results from Plume Event Evaluations • Several power plant plume events observed at SEARCH monitoring locations (Edgerton et al., ES&T, 2006) • To compare the modeled plume events with observations, the plume information in the embedded plume model is used to calculate subgrid-scale concentrations downwind of the power plant impacting a SEARCH monitoring location • Plume concentrations are sampled at an array of receptors along an arc; the center of the arc is the power plant of interest and the arc extends to 30o on each side of the monitoring location • The receptor location with the closest match of modeled SO2 peak increment to the observed peak increment is used for comparison purposes
Monitoring Stations in SEARCH network http://www.atmospheric-research.com/studies/SEARCH/index.html operated by Atmospheric Research & Analysis, Inc. (ARA)
Plume Event on July 5, 2002Hg Plume Increments Source: Plant Bowen; Monitoring Location: Yorkville
Plume Event on July 21, 2002Hg Plume Increments Source: Plant Bowen; Monitoring Location: Yorkville
Power-Plant Contributions to 24 hr Average Sulfate Concentrations on July 5 CMAQ-MADRID-Hg CMAQ-MADRID-APT-Hg
Power-Plant Contributions to 24 hr Hg Total Deposition on July 5 CMAQ-MADRID-Hg CMAQ-MADRID-APT-Hg
Conclusions • Observed plume events are better captured in the plume-in-grid approach than in the purely gridded approach • Preliminary evaluation results suggest that observed RGM to TGM ratios during plume events are well simulated only when a plume-in-grid approach is used and a pathway for reducing HgII to Hg0 by SO2 is included • A purely gridded approach typically overestimates power plant contributions to PM2.5 because SO2to sulfate and NOx to nitrate conversion rates are overestimated (Karamchandani et al., Atmos. Environ., in press) • A purely gridded approach will also overestimate power plant contributions to RGM concentrations and depositions if a mechanism exists to reduce HgII to Hg0 in power plant plumes
Ongoing Work • Complete simulations for entire calendar year • Complete model performance evaluation: • SEARCH: Continuous gas, PM mass and components, Hg • Other air quality networks: AQS, IMPROVE, CASTNET • Wet deposition: NADP, MDN • Control scenario simulations
Acknowledgements • Funding: • EPRI (Eladio Knipping, Leonard Levin) • Southern Company (John Jansen) • Input Files: • Georgia Environmental Protection Division (James Boylan, Maudood Khan) • VISTAS (Pat Brewer) • SEARCH Plume Measurements: • Atmospheric Research & Analysis, Inc. (Eric Edgerton)