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Simulating and Analyzing Long-Term Changes in Emissions, Air Quality, Aerosol Feedback Effects and Human Health
Citation:
Xing, J., C. Gan, C. Wei, J. Wang, David-C Wong, G. Pouliot, K. Foley, C. Hogrefe, Jon Pleim, AND R. Mathur. Simulating and Analyzing Long-Term Changes in Emissions, Air Quality, Aerosol Feedback Effects and Human Health. ACE Center Kick-Off Meeting, Durham, NC, September 15, 2016.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
Description:
This presentation covers work performed by the authors to characterize changes in emissions over the 1990 – 2010 time period, quantify the effects of these emission changes on air quality and aerosol/radiation feedbacks using both observations and model simulations, and finally estimate associated changes in PM2.5-related mortality. While the primary geographic scope of this analysis was over the U.S., analysis was also performed over other regions in the northern hemisphere and the presentation includes results from different regions.