Responses of future air quality to emission controls over North Carolina, Part II: Analyses of future-year predictions and their policy implications

The MM5/CMAQ system evaluated in Part I paper is applied to study the impact of emission control on future air quality over North Carolina (NC). Simulations are conducted at a 4-km horizontal grid resolution for four one-month periods, i.e., January, June, July, and August 2009 and 2018. Simulated PM2.5 in 2009 and 2018 show distribution patterns similar to those in 2002. PM2.5 concentrations over the whole domain in January and July reduced by 5.8% and 23.3% in 2009 and 12.0% and 35.6% in 2018, respectively, indicating that the planned emission control strategy has noticeable effects on PM2.5 reduction in this region, particularly in summer. More than 10% and 20% of 1-h and 8-h O-3 mixing ratios are reduced in July 2009 and 2018, respectively, demonstrating the effectiveness of emission control for O-3 reduction in summer. However, O-3 mixing ratios in January 2009 and 2018 increase by more than 5% because O-3 chemistry is VOC-limited in winter and the effect of NOx reduction dominates over that of VOC reduction under such a condition. The projected emission control simulated at 4-km will reduce the number of sites in non-attainment for max 8-h O-3 from 49 to 23 in 2009 and to 1 in 2018 and for 24-h average PM2.5 from 1 to 0 in 2009 and 2018 based on the latest 2008 O-3 and 2006 PM2.5 standards. The variability in model predictions at different grid resolutions contributes to 1-3.8 ppb and 1-7.9 mu g m(-3) differences in the projected future-year design values for max 8-h O-3 and 24-h average PM2.5, respectively. (C) 2010 Elsevier Ltd. All rights reserved.