Research Abstracts Online
2008 - March 2009
University of Minnesota Twin Cities
Institute of Technology
Department of Civil Engineering
PI: Julian Marshall
Impact of Emission Reductions on Exposures and Exposure Distributions: Applications of a Geographic Exposure Model
These researchers seek to quantify source-to-receptor relationships using existing data and models, thereby elucidating emission reductions strategies that target emission sources having the greatest impact on exposures and on environmental justice. They hypothesize that exposure impacts of a given emission reduction strategy vary significantly among source categories, locations within an urban area, and times of day. Their research approach employs a recently developed Geographic Information Systems exposure model for Los Angeles, California, that accounts for: individuals’ daily travel patterns for activities such as work and shopping; spatially- and temporally-explicit modeled ambient concentrations for important air pollutants; and differences between ambient concentrations and exposure concentrations for microenvironments such as in-vehicles and in residences. Using this extant model and data framework, they are employing an existing model-sensitivity routine to systematically explore emission reduction for specific locations and specific times, and record the impact on population-average exposures, and environmental justice metrics, such as exposure inequity among racial and economic subpopulations.
The long-term goal is to generate a set of methods and exposure indicators that could usefully be applied to other urban areas.
Kathryn Lundquist, Graduate Student