Abstract
An investigation of the concentrations of nitrogen oxides (NO X) from an air quality model and observations at monitoring sites was performed to assess the changes in NO X levels attributable to changes in mobile emissions. This evaluation effort focused on weekday morning rush hours since urban NO X concentrations are strongly influenced by the significant loading of emissions associated with heavy commuter traffic. On-road vehicle NO X emissions generated by the MOBILE6 model revealed a steady decline with an overall decrease of 25% for 2002–2006. In this study, a dynamic model evaluation was undertaken that entails an assessment of the predicted concentration response of the Community Multiscale Air Quality (CMAQ) model due to changes in NO X emissions as well as to meteorological variability spanning 3-month summer periods over five consecutive years (2002–2006) against observed concentration changes at NO X monitoring sites located primarily in urban areas of the eastern United States. Both modeled and observed hourly NO X concentrations exhibited maximum values that coincided with the morning peak NO X emissions. The notable results, based on 3-h average (6–9 AM local time) NO X concentrations, derived between the 50th and 95th percentiles of cumulative concentration distributions, revealed that modeled changes at these elevated NO X levels generally tracked the year-to-year variations in the observed concentration changes. When summer 2002 values were used as a reference, both modeled and observed results also showed definitive decreases in weekday morning urban NO X concentrations over this multi-year period, which can be primarily attributed to the reductions in mobile source emissions. Whereas observed NO X concentrations have declined by about 25% over this period consistent with the decline in the modeled mobile emission sector, modeled NO X concentration changes were close to the decreases exhibited in all (mobile + other sectors) surface NO X emissions whose overall decline was about 15% over this multi-year period.
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