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Sensitivity Analysis of Ozone in the Southeast
Daniel Cohan, Yongtao Hu, Amir Hakami, and Ted Russell Models-3 Users’ Workshop October 27, 2003
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Fall-Line Air Quality Study
CMAQ-DDM-3D, v.4.3: Chemistry: SAPRC-99 Diffusion: Eddy diffusivity, with modified Kzz limits DDM-3D: 1st and 2nd order; gas-phase only Emissions (SMOKE): NET-99 projected to 2000 BEIS-3 biogenics CEM for point sources Enhanced inventory for GA Meteorology (MM5 v.3.5.3): August 11-20, 2000 OSU/Eta LSM, MRF PBL 36-km resolution 12-km resolution
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DDM and Brute Force ∆Ci a1 Dpj Conc. (e.g., O3) Sens. Parameter
(e.g., VOC Emissions) Dpj
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Decoupled Direct Method 3D
Concentrations (t) Concentrations (t+Δt) Chemistry Advection & Diffusion I.C., B.C., Emissions Chemistry Sensitivities (t) Sensitivities (t+Δt)
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DDM Statistical Agreement: r2 of DDM vs. Brute Force (+/- 10% NOx)
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Peak Hour Ozone and its Sensitivities
(sens. scaled to 100%E) Sens to NOx Ozone Concentrations Sens To VOC 2nd Ord. Sens to NOx 5pm EDT, Aug. 17, 2000 (max. observed = 173 ppb)
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Downtown Atlanta: Ozone & its sensitivities, Aug. 11-20, 2000
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Macon: Ozone & its sensitivities, Aug. 11-20, 2000
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Variability of Ozone Sensitivity to NOx
(Hourly Average +/- 1, in ppmv, Aug , 2000)
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Ozone Sensitivity to NOx: Domainwide v. Local Emissions
Zero line
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Taylor-Series Expansion: Decomposing Changes in Ozone
O3,A 1st-Order: E * S1 2nd-Order: 0.5(E)2 * S2 O3,B B EB Emissions EA
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Reduction in Ozone due to 50% Reduction in NOx & VOC
Error: DDM 1st Order only Reduction in Ozone due to 50% Reduction in NOx & VOC Ozonebase – Ozone50%emis … with 2nd order 5pm EDT, Aug. 17, 2000
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50% Reduction in NOx and VOC
Ozone Reduction for 50% Reduction in NOx and VOC 8-day average: Aug , 2000
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Ozone Isopleths at Peak Hour
Atlanta Macon Ozone (ppmV) August 17, 2000 (from the method of Hakami et al., 2003)
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Conclusions CMAQ-DDM-3D accurately computes 1st and 2nd order gas-phase sensitivities. Aerosol sensitivities in progress. Include DDM-3D in future releases of CMAQ? Ozone primarily NOx-limited during episode. VOC sensitivity confined to urban cores. Response to local and regional NOx emissions can differ. Non-linearities affect ozone response to large perturbations in emissions. Using linear term alone underestimates benefit of large NOx reductions. Ignoring cross sensitivities overestimates benefit of joint NOX-VOC reductions in cities. Ongoing work: Further explore sensitivity to point & local emissions. Economic optimization of control strategies.
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