[Seminar on 3 July] Air Quality Modeling in California: from Meteorology, Emissions, to Exposure


Dr. Jianlin Hu, UC Davis


15:00, 3 July 2014



Abstract: California has the largest population in the United States, but has long suffered from the nation’s worst air quality. Climate change and new emerging sources pose additional challenges for air pollution control to protect the public health and the ecosystems. A new generation of the source-oriented UCD/CIT air quality model was developed and applied to (1) investigate the ozone (O3)–climate penalty under varying NOx and volatile organic compounds (VOCs) emissions in both NOx-limited and NOx-saturated conditions in California, respectively; (2) quantify the contribution of newly identified VOCs emissions from livestock feed to O3 formation; and (3) estimate PM exposure field (PM0.1 and PM2.5) from ~900 sources for use in epidemiological studies to identify the chemical components and sources that are primarily responsible for the observed health effects. The results have important implications for air quality management in California and other areas as well. 



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