Use to synthesize all info when making OTAG policy decisions
Consider strengths and weaknesses of each
Strengths and Weaknesses
Strengths
Weaknesses
Origins of Ozone - OTAG Domain
VOC emissions - highest near urban areas
NOx area emissions - highest near urban areas
NOx point emissions - highest across central portion of OTAG
domain
Pattern of Ozone
Corners of domain at mostly at background levels
General increasing trend from west to east across domain (
corresponds to prevailing direction for air transport)
Highest peaks near urban areas
Highest valleys" across central portion of domain
Largest variability in urban areas
Ozone events tend to last longer in South (typically several
days) than in North (typically one to two days
Exceedances of current standard - confined to major urban
and near-urban
Exceedances of proposed 8-hr standard- major and middle urban
central OTAG domain
Ozone Transport
Good news: hi transport = hi dispersion; can cause near source
pollution dilution
Bad news: stagnation followed by ventilation causes harmful
transport of ozone and precursors: direction of transport dictates
location and magnitude of impact
Ozone Transport - Lifetime & Extent
Regional ozone - 1-2 day lifetime avg in OTAG domain
Multiple analyses show extents of transport in OTAG domain
ranging from 150 to 500+ miles
Episode Characterization
In progress
Control Implications
OTAG domain is well-defined control region
Weekday-weekend differences in ozone pattern show that emission
changes do change ozone Exceedances
Long-term ozone trends also show that many control efforts
to date have reduced ozone levels and Exceedances
Control of sources in central OTAG domain can provide greatest
downwind benefit
Because of ozone variability in urban areas, episodic controls
may have greatest potential for success there
Model/Data Comparison
Macro features of episodes replicated
Some North/South bias
Ozone aloft appears underpredicted
Some precursor comparisons show poor agreement, especially
for isoprene
O3/NOx ratios show good agreement under NOx-limited conditions,
supporting use of model to evaluate control strategies
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