American Association for Aerosol Research - Abstract Submission

AAAR 35th Annual Conference
October 17 - October 21, 2016
Oregon Convention Center
Portland, Oregon, USA

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Impact of Climate Change on Summertime Ozone and Fine Particulate Matter in China

JIANLIN HU, Zhan Zhao, Qi Ying, Hongliang Zhang, Nanjing University of Information Science & Technology

     Abstract Number: 205
     Working Group: Aerosols, Clouds, and Climate

Abstract
China has severe summertime air pollution, characterized by high ozone (O3) and fine particulate matter (PM2.5) concentrations. Exposure to high concentrations of O3 and PM2.5 causes serious health consequences. Studies have revealed that meteorological conditions including wind field, boundary layer height, temperature, humidity, precipitation, clouds, influence the atmospheric chemistry and physical processes. Therefore climate change will not only alter the weather patterns in China, but alsomodify O3 and PM2.5 concentrations. It is necessary to quantitatively investigate the impact of climate change in China.

The current study investigates the impact of climate change on O3 and PM2.5 concentrations using a dynamic downscaling approach with bias correction technique. The regional climate is simulated by dynamically downscaling the Community Earth System Model (CESM) simulation results from the fifth phase of the Coupled Model Intercomparison Project (CIMP5) with RCP6.0 emission scenario ) using the Weather Research and Forecasting (WRF) model. The air quality is simulated using the Community Multi-scale Air Quality Model (CMAQ). The CESM-WRF-CMAQ model system is used to simulate the air quality in the entire China using a horizontal resolution of 36 km for summer episodes (June-July-August) in current years of 2006-2015 and future years of 2046-2055. The concentration changes of O3 and PM2.5 due to climate change will be analyzed. The areas where air quality is most sensitive to climate change and the meteorological parameters that are most responsible to the air quality change will be identified.