Uncertainty in Air Quality Planning
As states finalize implementation plans to achieve current ozone and particulate matter (PM) standards, more stringent standards may prompt a new wave of attainment planning. Although states have begun to explore the linkage of cost, photochemical, and health effect models to inform strategy selection, model uncertainties have typically remained unexamined. This research explored how formal examination and communication of model uncertainty might enhance future air quality planning, using Georgia as a case study to develop broadly applicable methodologies.
Funding:U.S. Environmental Protection Agency STAR grant
Collaborators:Prof. Dennis Cox, Rice University; Prof. Michelle Bell, Yale University; Prof. Robyn Wilson, The Ohio State University; and the Georgia Environmental Protection Division
Students:Antara Digar and Andrew Pegues
Link to project website