Research Grants/Fellowships/SBIR

Application of Receptor Modeling to Ozone Prediction: An Independent Evaluation of the Lake Michigan Ozone Study Data

EPA Grant Number: U914783
Title: Application of Receptor Modeling to Ozone Prediction: An Independent Evaluation of the Lake Michigan Ozone Study Data
Investigators: Kenski, Donna M.
Institution: University of Illinois at Chicago
EPA Project Officer: Broadway, Virginia
Project Period: January 1, 1995 through January 1, 1996
Project Amount: $102,000
RFA: STAR Graduate Fellowships (1995) Recipients Lists
Research Category: Academic Fellowships , Engineering and Environmental Chemistry , Fellowship - Chemistry

Objective:

The main objective of this research project is to use Lake Michigan Ozone Study (LMOS) data to inventory estimation and ozone modeling.

Approach:

The study will have three distinct phases: (1) a receptor model is used to estimate the emission inventory for specific air parcels at each sampling site; receptor models apportion ambient hydrocarbons to pollutant source categories on the basis of the known pattern of emissions from the sources; (2) in an inventory and model validation, the estimates from the receptor model are compared with the Chicago area inventory and the LMOS gridded inventory, which gives emission inventory estimates for source categories for each grid cell; the mass flux of VOCs and NOx through the urban area also will be determined using a simple box model; and (3) the receptor model emission estimates are used as input to a photochemical reaction model, which simultaneously solves the 81 Carbon Bond Mechanism IV rate equations representing ozone formation.

Supplemental Keywords:

fellowship, ozone, ozone modeling, volatile organic compounds, VOCs, receptor model, emission estimates, ambient air, model validation, Lake Michigan Ozone Study, Chicago., RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, POLLUTANTS/TOXICS, Chemicals, Monitoring/Modeling, Environmental Monitoring, Atmospheric Sciences, Ecology and Ecosystems, receptor modeling, atmospheric dispersion models, atmospheric measurements, model-based analysis, ozone , emissions monitoring, model assisted estimation, air quality model, hydrocarbons, Volatile Organic Compounds (VOCs), Lake Michigan