College of Food, Ag & Nat Res Sci
Outdoor air pollution kills approximately three million people per year. Air quality models are commonly used to understand and manage air quality. Chemical transport models (CTMs) are the most accurate of these models but are too computationally intensive for many applications. Reduced complexity models can be used to augment CTM simulations. These researchers have developed a reduced complexity air pollution modeling framework (InMAP, the Intervention Model for Air Pollution) and have created implementations of the model for the continental U.S. for the years 2005 and 2030. They have additionally created a source-receptor (SR) matrix for the continental U.S. for year 2005 that gives transfer-function relationships between emissions and concentrations at any given pair of locations. They are now using MSI resources to create a version of the SR matrix that is global in scope, rather than just for the U.S.
A Research Spotlight about work by this group appeared on the MSI website in February 2015: Effects of Alternative Fuels on Air Quality.