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Assessment of Particulate Matter Exposure in Franklin County, Ohio: A Comparison of Static and Dynamic Approaches

Sineri, Jaclyn R.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1269018692

Abstract Details

2010, Master of Arts, Ohio State University, Geography.
The primary focus of this study is to determine whether a significant difference exists between static and dynamic particulate matter exposure at an intraurban level for Franklin County residents. Static exposure is analyzed at a single location (household) for a twenty four hour period while dynamic exposure takes into account the various locations that an individual travels to throughout the day (i.e. work, school). An air dispersion model will be utilized in conjunction with industrial point source emissions inventory data to generate a continuous particulate matter grid at an hourly resolution across the county. In addition to the dispersion model output, background concentrations from three local monitors will be incorporated into the surface grid as representation for all other pollution sources not included in the model run. A sample population was extracted from the 1999 Mid-Ohio Area Household Travel Survey to represent the static and dynamic activity of Franklin County residents. The 24 hour and daytime activity of the individuals was associated with particulate matter concentrations at hourly intervals throughout his or her recorded travel day. In turn, the total static and dynamic exposure to particulate matter was examined using statistical analysis methods such at paired t-tests and ANOVA to determine if a significant difference is present. Also, income, age, gender, and education of each individual will serve as predictor variables in a multiple linear regression to determine if a relationship exists with particulate matter exposure. Results from the statistical analysis did not reveal that individuals are exposed to significantly different levels of particulate matter concentration when in a static versus dynamic state. The lack in variance was attributed to the distance decay affect from the modeled point sources and the strong influence of meteorological phenomena on the modeled output (i.e. wind direction). Additionally, a dense monitor network was unavailable for Franklin County thus limiting the ability to account for linear (road network) and minor sources which greatly contribute to particulate matter concentrations.
Mei-Po Kwan, PhD (Advisor)
Desheng Liu, PhD (Advisor)
Ningchuan Xiao, PhD (Committee Chair)
121 p.
Geography
particulate matter exposure

Recommended Citations

Citations

  • Sineri, J. R. (2010). Assessment of Particulate Matter Exposure in Franklin County, Ohio: A Comparison of Static and Dynamic Approaches [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269018692

    APA Style (7th edition)

  • Sineri, Jaclyn. Assessment of Particulate Matter Exposure in Franklin County, Ohio: A Comparison of Static and Dynamic Approaches. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1269018692.

    MLA Style (8th edition)

  • Sineri, Jaclyn. "Assessment of Particulate Matter Exposure in Franklin County, Ohio: A Comparison of Static and Dynamic Approaches." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269018692

    Chicago Manual of Style (17th edition)

osu1269018692
438
© 2010, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.