Modeling Ambient PM2.5 and O3 in China: Concentrations, Sources, and Health Effects
China has been suffering high levels of PM2.5 and O3 pollution due to large amounts of fossil fuel consumption associated with rapid economic growth, industrialization, and urbanization in the past a few decades. PM2.5 and O3 can pose great threat to human health and the ecosystem and play important roles in climate change. In this study, we investigated the concentrations and sources of PM2.5 and O3 in China using a source-oriented CMAQ model, and assessed the premature mortality attributed to exposure to PM2.5 in China in 2013. The source-oriented CMAQ model tracks pollutants and precursors from different sources separately for efficient and accurate estimation of source contributions. The model is applied to simulate the air quality in China in the year of 2013 for quantifying sector contributions to air quality and their health impacts. Estimated excess mortality due to exposure to ambient PM2.5 in China was 1.3 million. Industrial and residential sources were the two leading sources of excess mortality, contributing to 0.40 (30.5%) and 0.28 (21.7%) million deaths, respectively. A 30% excess mortality reduction in China would require an average of 50% reduction of PM2.5 throughout the country.
Professor, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology
Dr. Jianlin Hu is a full professor at the School of Environmental Science and Engineering, Nanjing University of Information Science and Technology. His research focuses on the numeric modeling of atmospheric chemistry and physics processes, source apportionment of primary and secondary air pollutants, impacts of air pollution on health and climate, assessment of impacts of environmental policies on air quality and health, etc. He holds a PhD in Atmospheric Science from UC Davis. He has authored/co-authored more than 80 peer-reviewed papers, and was awarded the Excellent Young Scientist Award of Chinese Society for Environmental Sciences in 2018.