emissions inventory preparation in support of high ... · emissions inventory preparation in...
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WWW.RWDI.COM I CANADA I USA I UK I INDIA I CHINA I
Emissions Inventory Preparation in
Support of High-Resolution CMAQ
Modelling Applications
J. Wayne Boulton, Jeff Lundgren, Greg Conley, Martin Gauthier, Akhila Wolfe, Carol McClellan
RWDI AIR Inc., Consulting Engineers & Scientists
Mike Moran, Junhua Zhang, Qiong Zheng
Environment Canada, Air Quality Research Division
Zac Adelman, Mohamed Omary
UNC Institute for the Environment
Louise Aubin, Kim McAdam
Regional Municipality of Peel Public Health Department
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Other References
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Lundgren, J., J. W. Boulton, G. Conley, M. Gauthier, A. Wolfe, C. McClellan, Z. Adelman, M. Omary, L. Aubin, K. McAdam, (2014), High Resolution CMAQ Application for the Regional Municipal of Peel, Ontario, Canada, (Poster ), 13th Annual CMAS Conference, UNC Chapel Hill, North Carolina, October, 2014.
McClellan, C., J. W. Boulton, M. Gauthier, S. Hajaghassi, J. Lundgren, G. Conley, M. Moran, J. Zhang, Q. Zheng, L. Aubin, K. McAdam, (2013), Developing Spatial Surrogates for High-Resolution Modeling Domains (Poster), 12th Annual CMAS Conference, UNC Chapel Hill, North Carolina, October, 2013.
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• Prioritize emission reduction options
• Assist in making planning decisions from a public health perspective
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Region of Peel Modelling & Monitoring System
• Estimate air quality where no monitors exist
• Assess relative contributions from emission sources
• Shape and influence health-based policy / regulations
• Develop informed public education and messaging
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Region of Peel
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Region of Peel Modelling & Monitoring System
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RWDI Caledon Passive Station: NH3, NO2, NOX, SO2, O3
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Region of Peel Modelling & Monitoring System
Model Configuration:
• WRF (Ver. 3.4.1)
• MCIP (Ver. 4.1
• SMOKE (Ver. 3.1)
• MEGAN (Ver. 2.1)
• CMAQ (Ver. 5.0)
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1.0°GEOSCHEM
GEOSCHEM CMAQ IC / BC pre-processor
36.0 km CMAQ
36.0 km SMOKE
36.0 km MCIP
36.0 km WRF
0.50° NCEP
36.0 km BIOGENICS
Regional EI• US EPA• Env Can• Speciation• Temporal
Regional GIS36.0 km
Spatial Surrogates
12.0 km IC / BC
12.0 km CMAQ
12.0 km SMOKE
12.0 km MCIP
12.0 km WRF
12.0 km BIOGENICS
12.0 km Spatial Surrogates
4.0 km IC / BC
4.0 km CMAQ
4.0 km SMOKE
4.0 km MCIP
4.0 km WRF
4.0 km BIOGENICS
4.0 km Spatial Surrogates
1.0 km IC / BC
1.0 km CMAQ
1.0 km SMOKE
1.0 km MCIP
1.0 km WRF
1.0 km BIOGENICS
1.0 km Spatial Surrogates
Peel-RegionGIS
Peel-Region EI• NPRI• EMME 2 / Synchro• Fuel usage stats
Analysis & Reporting
Nested Modelling Approach (CMAQ)
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CMAQ (v. 5.0) MODEL CONFIGURATION
Horizontal Advection Yamartino
Vertical Advection Per WRF outputs
Horizontal Diffusion Multiscale
Vertical Diffusion ACM2
Gas Chemistry Mechanism CB05 (without Chlorine)
Gas Chemistry Solver Euler Backward Iterative (EBI)
Aerosol Mechanism CMAQ 6th generation model (aero6)
Clouds/Aqueous Chemistry Cloud ACM AE6
Plume in Grid none
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Air Quality Model Domains
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Innermost (1.0 km) Domain
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Emissions Inventory Sources Used
CANADA
• 2010 pre-speciated major point sources (NPRI)
• 2006 area and mobile (on-road and non-road)
• 2011 National Agri-Environmental Standards Initiative (NH3)
US
• 2008 US EPA for point, area, on-road and non-road
• 2012 fire emissions
Biogenic
• MEGAN (Version 2.1)
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Annual Emissions (tonnes) in 1.0 km Domain
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SOURCE CATEGORY CO NOX VOC NH3 SO2 PM10 PM2.5
TRANSPORTATIONAir Transportation 8,746 4,226 2,081 3 342 0 149
Rail Transportation 853 5,546 146 5 250 0 177
Marine Transportation 9,492 1,460 2,898 2 715 0 232
OnRoad Urban mobile 302,282 48,008 29,388 3,290 245 1,433 10,883
OnRoad Rural mobile 68,926 16,058 6,716 752 56 453 308
Unpaved Roads 9,473 43 2,101 1 1 0 3,886
INDUSTRYMetals, Mining and Mineral Production 18,982 838 52 1 58 0 3,448
Utilities 245 826 16 10 111 0 26
Forestry and Wood Products 187 61 1,787 0 56 0 7
Manufacturing and Assembly 0 0 32,226 0 0 0 0
Printing and Related Industries 0 0 9,224 0 0 0 0
Industrial use of off-road engines (e.g., forklifts, heavy equipment) 24,685 11,829 1,533 2 537 0 212
Industrial Point Sources 19,440 16,816 7 1,219 18,765 3,419 2,497
Primary industry 0 0 38,852 0 0 0 0
ANTHROPOGENIC & MISCWaste Management 2,085 142 2,180 27 413 0 302
Commercial Fuel Combustion 211,677 9,312 7,316 72 3,719 0 901
Construction Activities 10,606 7,482 1,125 6 390 0 673
Gasoline Stations and Petroleum Wholesales 0 0 4,497 0 0 0 269
Population, Urban and Rural Dwellings 50,805 7,351 2,423 213 1,451 0 2,090
Residential Wood Combustion 71,493 1,033 15,285 93 148 0 10,791
Farms / Agriculture 5,780 9,056 2,743 1,243 413 0 1,224
Other / Miscellaneous 0 0 58 0 0 0 81
Total without fugitive dust 815,756 140,086 162,656 6,938 27,669 5,306 38,158
Fugitive Dust (including agricultural, construction and road dust) 0 0 0 0 0 77,937 14,585
Total including fugitive dust 815,756 140,086 162,656 6,938 27,669 83,243 52,742
Notes: emissions of gasses from soils and vegetation (Biogenics) not included
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UNIQUE CHALLENGES WHEN MODELLING AT
HIGH SPATIAL RESOLUTION
AKA – the Devil is in the details…
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Missing Stack Parameters
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Missing / generic stack parameters much more important…
Yellow dots depict major sources with inadequate stack parameters.
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Spatial Allocations – Airport GSE
Heads-up digitizing, buffering, and other GIS techniques…
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Make friends with your GIS team!!!
Toronto Pearson International Airport
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Spatial Allocations - Commercial Marine
Continual improvement…
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NOx Emissions (g/s) Over 1.0 km Domain
1.0 km Gridded Emissions 4.0 km Gridded Emissions
July 13, 2012, 1800 GMT (13:00 EST)
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CCTM (CMAQ) MODEL PERFORMANCE
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DRAFT Results - Ozone
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Annual O3 (ppb) modelled vs observed (domain-wide)
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DRAFT Results – PM2.5
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Annual PM2.5 (µg·m-3) modelled vs observed (domain-wide)
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DRAFT Predicted & Measured Ozone
March July
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Domain-wide modelled vs observed O3 (ppb)
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DRAFT Predicted & Measured Ozone
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March July
Domain-wide modelled vs observed O3 (ppb)
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DRAFT Modelled O3 (ppmV) over 1.0 km Domain
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1.0 km Gridded Concentration 4.0 km Gridded Concentration
July 13, 2012, 1800 GMT (13:00 EST)
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DRAFT Temporal Profiles for O3 (July)
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Spatial ? Temporal ? Emissions ? Meteorology ?
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DRAFT Temporal Profiles for NOX (July)
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Spatial ? Temporal ? Emissions ? Meteorology ?
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Initial Observations
• Model performance quite good for ozone and PM2.5
• High resolution notable in results (O3 near highways)
• Higher resolution highlights model performance issues (EI, spatial, temporal, meteorology, etc.)
• Much to investigate and improvements to be made - so what else is new?
• New 2010 EI for Canada improves performance (especially near highways due to on-road vehicle emission decreases)
• Emission change scenarios underway
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Take Home Messages
• Raw spatial surrogate activity data suitable at 12 and 4 km resolutions likely not be suitable at 1.0 km
• Plumes cross multiple cells quickly even at modest winds, making meteorology, chemistry, and timing of emissions more important at high resolution
• Stack parameters and source locations more important at high resolution
• Challenges capturing meteorological phenomena (inversions, nocturnal boundary layer, land-sea breeze) still exist at high resolution
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Questions?
Funding provided by: Regional Municipality of Peel Public Health Department