Assessing Dynamic Exposure to Air Pollution - Space-Time Integration in Geography and GIScience - page 287

Fig. 16.3 Eight-day pollution estimates indicating areas of high PM 10 Concentrations (g/m 3 )in
the study area

highways on the west of Franklin County. This suggests that different individuals
may experience different levels of exposure due to the locations of their activities
and trips on the selected survey days.

16.4.2 Background Concentrations

Besides pollution estimates generated with data on the 119 industrial point sources,
background concentrations from other sources were obtained from the three local
monitoring sites and added onto the results of the estimated concentrations from the
air dispersion model. These other sources of particulate matter include industrial
processes, transportation, fuel combustion, indoor sources, environmental tobacco
smoke, wood burning, cooking, and solid waste. The contribution from each source
varies by region and density (i.e., road networks, industrial plants, etc.).
The process of incorporating background concentrations consisted of three main
steps. First, hourly concentration readings from the three local monitors were
obtained. Second, particulate concentrations generated by the dispersion model
at each monitor site for every hour were then subtracted from the monitored