AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
Abstract View
Sensitivity of Geographically-Distributed Precursor Emissions Reductions for Mitigating PM2.5 in the Kaoping Air Basin in Taiwan
CIAO-KAI LIANG, Jason West, Joshua Fu, Hsin-Chih Lai, Der-Min Tsai, Li-Wei Lai, University of North Carolina at Chapel Hill
Abstract Number: 574 Working Group: Source Apportionment
Abstract For the purpose of air pollution management, Taiwan is divided geographically into seven air basins. Based on Taiwan EPA observation data, the KaoPing air basin has been recognized as a PM2.5 nonattainment area and has had higher PM2.5 concentrations than other air basins. In addition, its location downwind of other source regions with poor atmospheric mixing, particularly in fall and winter, contribute to poor PM2.5 air quality in the KaoPing air basin. Previous studies have shown that secondary aerosol formation was responsible for high PM2.5 concentrations over southern Taiwan when prevailing winds are northeasterly, indicating that to design effective PM2.5 control management strategies in the KaoPing air basin, a comprehensive understanding is required for how PM2.5 responds to changes in its precursors from the local and upwind sources. Here, we study the effect of emission controls on the formation of PM2.5 in the KaoPing air basin under the typical winter stagnation conditions that existed on 21–24 December 2010. The community multiscale air quality (CMAQv5.0.2) coupled with decoupled direct method for particulate matter (DDM/PM) will be used to investigate the sensitivity of PM2.5 concentrations to changes in precursor emissions (i.e. primary PM, SO2, NOx, VOC, and NH3), and the contributions of local and upwind emissions. CMAQ is driven by meteorological fields generated by the Weather Research and Forecasting (WRF) version 3.4.1 model. Initial and boundary conditions were derived from the global chemical transport model GEOS-Chem. Emissions from the Taiwan Emission Data System (TEDS 8.1) are processed by the Sparse Matrix Operator Kernel Emissions (SMOKE) version 3.7 for input to CMAQ. A backward trajectory analysis was employed to locate the source of the accumulated PM2.5. The result is expected to determine quantitatively which emission sources regions are responsible for PM2.5 formation in the KaoPing air basin, and to characterize PM2.5 sensitivities, to support the development of emission reduction management strategies.