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The SMOKE Emission Processor and CommunityMultiscale Air Quality Model (CMAQ) applied to
Southern Ontario
Xin QiuXin Qiu, Mike , Mike Lepage Lepage and Michael Van and Michael Van AltenaAltenaRWDI, OntarioRWDI, Ontario
CANADACANADA
10th Annual Emission Inventory ConferenceMay 1-3, 2001 Denver
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MM5 Nested Modelling DomainsDomain 1: 108 x 108 km grid cells
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Domain 2: 36 x 36 km grid cells
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Hamilton
Toronto
Buffalo
Domain 3: 12 x 12 km grid cells
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ErieLake Erie
Hamilton
London Buffalo
Pennsylvania
Ontario
New York
Toronto Lake Ontario
Domain 4: 4 x 4 km grid cells
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Hamilton. Atmospheric Conce ntrations. Downtown and Upwind: Ke lly a nd Lynden Stations.
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Time of Day
[O3]
(ppb
v)
Dow ntow n Upw ind
Results from the MOE Samplers for the 1999 AmbientResults from the MOE Samplers for the 1999 AmbientMonitoring Program (OMonitoring Program (O33))
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Digital Road Network Digital Road Network
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NOx NOx Emissions Processed through SMOKEEmissions Processed through SMOKE
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SOSO22 Emissions Processed through SMOKE Emissions Processed through SMOKE
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NOx NOx Emissions Processed through SMOKEEmissions Processed through SMOKE
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0.100
0.081
0.082
0.1090.096
0.082
0.100
0.086
0.095
0.094
0.086
0.089
USLake Ontario Canada
Lake Erie
LakeSimcoe
GeorgianBayLake
Huron
Ground-level Ozone Concentration (ppm)0.02 0.04 0.06 0.08
OO33 Concentrations – Concentrations – ModelledModelled vs vs ObservedObserved
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Modelled Modelled OO33 Concentrations – 12 km Domain Concentrations – 12 km Domain
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Modelled Modelled OO33 Concentrations – 4 km Domain Concentrations – 4 km Domain
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Modelled Modelled PMPM2.52.5 Concentrations Concentrations
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Average PMAverage PM2.52.5 Concentrations ConcentrationsModelled vs Modelled vs ObservedObserved
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Average SOAverage SO22 Concentrations ConcentrationsModelled vs Modelled vs ObservedObserved
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Average OAverage O33 Concentrations ConcentrationsModelled vs Modelled vs ObservedObserved
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Average NOAverage NO22 Concentrations ConcentrationsModelled vs Modelled vs ObservedObserved
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Average NOAverage NO22 Concentrations ConcentrationsModelled vs Modelled vs ObservedObserved
Increased Increased NO NOxx from US Point Sources by 50% from US Point Sources by 50%
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Average OAverage O33 Concentrations ConcentrationsModelled vs Modelled vs ObservedObserved
Increased Increased NO NOxx from US Point Sources by 50% from US Point Sources by 50%
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Scenario 1: Turn off all US SO2 Emissions with Scenario 1: Turn off all US SO2 Emissions with no change in Canadano change in Canada
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Scenario 1: Turn off all US SO2 Emissions with Scenario 1: Turn off all US SO2 Emissions with no change in Canadano change in Canada
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Scenario 1: Turn off all US SO2 Emissions with Scenario 1: Turn off all US SO2 Emissions with no change in Canadano change in Canada
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Scenario 2: CMAQ Simulations Based onOPG Power Plants Emission Data Update
◆ From 1995 base year to 1999
◆ Annual emission increased ~90%
◆ Summer emission increased ~40% aboveaverage
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Scenario 2: CMAQ Simulations Based onOPG Power Plants Emission Data Update
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Scenario 2: CMAQ Simulations Based onOPG Power Plants Emission Data Update
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Conclusions
◆ Emission processor SMOKE performed well forCanadian and US inventories
◆ Model output compared reasonably well to monitoringdata for O3
◆ Model output compared well to monitoring data for CO,PM2.5 and SO2
◆ Model underestimated NO2 levels
◆ PM2.5 in Southern Ontario mostly (~ 90%) from major USSO2 sources in summer smog episode
◆ O3 in Southern Ontario mainly (>70%) from US NOx andVOC sources in summer smog episode
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Conclusions (cont’d)
◆ SO2 emissions not only affect particulate matter, but alsoground level O3
◆ Major point sources and their temporal profiles play animportant role on ground level concentration predictions
◆ Finer resolutions (12 km and 4 km) were important to resolvelake breeze effects in Southern Ontario
◆ Overall Performance is good and the modelling system(MM5+SMOKE+CMAQ) is ready for running scenarios