AAAR 33rd Annual Conference
October 20 - October 24, 2014
Rosen Shingle Creek
Orlando, Florida, USA
Abstract View
Novel Approach for Estimating Light Duty Gasoline and Heavy Duty Diesel Mobile Source Impacts Based on Mobile Source Emissions and Fused Observation-CMAQ Data
XINXIN ZHAI, Mariel Friberg, Heather Holmes, Yongtao Hu, James Mulholland, Armistead Russell, Georgia Institute of Technology
Abstract Number: 504 Working Group: Source Apportionment
Abstract The relationship between geo-coded patient information and ambient air quality is being investigated over Georgia in a spatially resolved health study. In Atlanta, epidemiologic results using central monitor data suggest associations of acute health effects and mobile source emissions. Here, we develop a procedure to provide spatially resolved daily light duty gasoline and heavy duty diesel mobile source PM2.5 impact estimates using concentration fields from a data fusion approach that combines observations and chemical transport model (CMAQ, 4 km and 12km resolutions) predictions to yield daily concentration fields of single pollutants for 2002-2010. Daily 24-hr average concentration fields of PM2.5 elemental carbon, CO, and NOx were generated for Georgia using ambient monitor data and CMAQ predictions. The fields were then used as input to an emission-based integrated mobile source indicator method (IMSI) developed by Pachon et al. (2012) to estimate mobile source impact fields at a 4 km resolution for Georgia. The IMSI uses EC, CO, and NOx concentrations and the ratio of spatially resolved mobile emissions to total emissions for each species to estimate mobile source impacts. The IMSI is applied to the Georgia domain by using emissions modeling results based on data from the National Emissions Inventory. The results are scaled using regression relationship of mobile PM2.5 emissions and CMB mobile impact estimates at 11 monitors in Georgia. The spatially-resolved daily source impact estimates across Georgia allow for the spatial analysis of health data to assess pollutant exposure risks of susceptible and vulnerable populations.