AAAR 34th Annual Conference
October 12 - October 16, 2015
Hyatt Regency
Minneapolis, Minnesota, USA
Abstract View
Yearlong Air Quality Simulation and Population Exposure Estimation in China
HONGLIANG ZHANG, Jianlin Hu, Qi Ying, Louisiana State University
Abstract Number: 148 Working Group: Aerosol Exposure
Abstract China has been experiencing severe air pollution in recent decades due to fast growth of economy and urbanization as well as lack of emission control measures. Although ambient air quality monitoring networks for the criteria pollutants have been constructed in more than 100 cities in China since 2013, studies associating human health outcomes with air pollution exposure are still limited due to the temporal and spatial insufficiency and lack of particulate matter (PM) components in the monitoring dataset. In this study, a yearlong (2013) air quality simulation is conducted in China to provide detailed ozone, PM concentrations and chemical components for population exposure estimation.
The Community Multi-scale Air Quality model (CMAQ) is used with meteorological inputs from the Weather Research & Forecasting model (WRF). Multi-resolution Emission Inventory for China (MEIC, http://www.meicmodel.org) is used to generate anthropogenic emissions. The public available observation data obtained from the air quality monitoring networks and PM chemical measurements at several sites will be used to validate the model performance. Then, an inverse distance weighting based method will be applied to estimate exposure using observation-fused concentration fields based on differences between observations and predictions at grid cells where air quality monitors are located. The temporal variations (seasonal, weekday-weekend, diurnal) of population exposure will also be discussed. This study will provide enhanced exposure information for the understanding of adverse effects of air pollutants.