Professor Wagstrom is a chemical engineer with a specialization in atmospheric chemistry. She has studied the potential air quality implications associated with using biofuels in place of conventional gasoline.
Areas of Expertise (5)
Woman in STEM
Carnegie Mellon University: Ph.D. 2009
Illinois Institute of Technology: B.S., Chemical Engineering 2004
- American Association for Aerosol Research
- International Society for Exposure Science
- American Association for the Advancement of Science
Observed meteorological conditions, usually measured at airports or weather monitoring stations, have long provided the only source of meteorology for many Gaussian air pollution dispersion models. This introduces uncertainty and limitations in numerical model estimates, especially for locations of interest far removed from these monitoring stations.
This study uses intake fraction, the fraction of emissions that are inhaled from a given source, to quantify how emissions from different regions proportionally contribute to human exposure to both primary and secondary particulate matter species. The intake fraction for secondary species is defined using the common atomic constituents between precursor species and products, allowing estimates to include both primary and secondary species.
This study uses intake fraction, the fraction of emissions that are inhaled, to compare potential particulate matter exposure among different height emission sources. We use the Particulate Matter Source Apportionment Technology (PSAT) in the Comprehensive Air Quality Model with Extensions (CAMx) to estimate intake fraction for primary and secondary particulate matter species from different height emission sources.
We have utilized the Particulate Matter Source Apportionment Technology (PSAT) in PMCAMx (a regional chemical transport model) to quantify the contributions from local emissions and short range (under 100 km), mid range (100–550 km) and long range (over 550 km) pollutant transport to both primary and secondary particulate matter concentrations using the Eastern United States as a test case.
An on-line and an off-line version of a computationally efficient particulate matter source apportionment algorithm have been developed and compared using the three-dimensional chemical transport model PMCAMx. Both versions of the algorithm use source specific-species that track the contributions of source locations or source classes.