Goal
Compliance with federal air quality standards for sulfur dioxide (SO2) is determined using both ground-based monitors and computer modeling. This study examines the regulatory modeling guidance, with an eye toward alternate criteria to improve assessment of SO2 away from monitors. In particular, we consider whether satellite observations of SO2 may be useful in identifying high SO2 emissions appropriate for modeling and further analysis.
Objectives
This project will replicate the EPA’s current screening framework for identifying potential violations of the SO2 standard and compare results with alternate screening approaches. The screening step identifies regions for modeling with AERMOD, the EPA’s Gaussian dispersion model. Currently only facilities with SO2 emissions over 2000 tons/yr are identified as appropriate for AERMOD modeling. We examine emissions variability on shorter timescales, emission sources grouped over nearby locations, and the potential for satellite data to identify additional sources appropriate for investigation.
Outcomes
Results are shared on a regular basis with project partners through regular reporting, webinars, and graphics. Study results will be written up for publication in peer-review journals.
Funding Partners:
Center for Applied Environmental Law and Policy (CAELP), Audi Settlement Fund
Timeline:
2020 – Present
Tools:
AERMOD
TROPOMI
National Emissions Inventory
Air Markets Database
Air Quality System Database
Core Team Members:
Tracey Holloway, Paul Meier, Drashti Amin, Cecilia Orth, Bob Carp, Tommy Jasmin, Carol Barford, Sebastian Utama