The first case study uses emission estimates and field data measured near
Marathon Oil Refinery at Robinson, Illinois, during June and July,
1977 [183]. This case study involves a primarily VOC dominant
source (i.e., the volatile organic compounds emissions are significantly
higher than the NO/NO
emissions). The meteorological data and initial
plume concentrations were obtained from the work of Georgopoulos and
Roy [79], which was based on the measurements
reported by Sexton et al. [183].
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Figure 6.4 shows the average ozone concentrations in the plume, calculated by RPM-IV, as a function of the plume evolution time for different horizontal resolutions, ranging from two cells to ten cells in the horizontal. Similarly, Figure 6.5 shows the average plume concentrations calculated by RPM-3D for different vertical resolutions with four cells in the horizontal. The calculations from RPM-IV, which has no vertical resolution, and RPM-3D with vertical resolution corresponding to two cells, four cells, and six cells, are shown in the figure. The results indicate that the different vertical and horizontal resolutions produce similar estimates of the average plume concentrations. Hence, it is sufficient to use a low-resolution two-dimensional model, for studying the plume average concentrations in such cases.
Figure 6.6 shows the ozone concentrations within each
horizontal cell calculated by RPM-IV when the plume cross section is divided
into six cells. The plots indicate the average ozone concentrations in the
different horizontal cells (indicated by ``A'', ``B'', and ``C'' in
Figure 6.3 for RPM-IV). Similarly,
Figure 6.7 shows the vertical profile of the ozone
concentrations calculated by RPM-3D for the centerline horizontal cell when
the plume is divided into four horizontal cells and each cell is in turn
divided into six vertical cells. The plots indicate the average of the
vertical cells along the horizontal centerline, and individual vertical
cells at the horizontal line. The cells are illustrated in
Figure 6.3. The horizontal centerline cell is given by ``A'',
and the corresponding vertical slices are ``AZ'' (outermost), ``AY''
(middle), and ``AX'' (centerline). Examining the results, it is clear that
in a NO
dominant regime, this would clearly produce an under-estimation
of the ground level ozone levels. Examining the results, it is clear that by
ignoring the vertical structure of a plume, the RPM-IV approximates the
highest possible ground level concentration by the average in the vertical.
Hence, in a VOC dominant regime, this would clearly produce an
over-estimation of the ground level ozone levels.
The second case study considers a single point source in Mercer County, New
Jersey. The simulation is performed for the period of July 7, 1988, 8:00 am
to 10:00 am, corresponding to the occurrence of a severe ozone episode in
the region. This case study involves a NO/NO
dominant regime. Ambient
pollutant concentrations were obtained from the results of an Urban Airshed
Model (UAM-IV) simulation for the Philadelphia/New Jersey modeling domain
for the time period of July 6 to July 8, 1988, described by
Georgopoulos et al. [81]. The meteorological inputs were
obtained from the model inputs of the UAM-IV simulation for the modeling
domain [81]. The model results are analyzed in the same
manner as described in the earlier case study involving a VOC dominant
regime.
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Figure 6.8 shows the average ozone concentrations in the plume, calculated by RPM-IV, as a function of the plume evolution time for different horizontal resolutions, ranging from two cells to ten cells in the horizontal. Similarly, Figure 6.9 shows the average plume concentrations calculated by RPM-3D for different vertical resolutions with four cells in the horizontal. The calculations from RPM-IV, which has no vertical resolution, and RPM-3D with vertical resolution corresponding to two cells, four cells, and six cells, are shown in the figure. The results indicate that the different vertical and horizontal resolutions produce similar estimates of the average plume concentrations. Hence, it is sufficient to use a low-resolution two-dimensional model, for studying the plume average concentrations in such cases.
Figure 6.10 shows the ozone concentrations within each
horizontal cell calculated by RPM-IV when the plume cross section is divided
into six cells. Similarly, Figure 6.11 shows the
vertical profile of the ozone concentrations calculated by RPM-3D for the
centerline horizontal cell when the plume is divided into four horizontal
cells and each cell is in turn divided into six vertical cells. Examining the
results, it is clear that in a NO
dominant regime, this would clearly
produce an under-estimation of the ground level ozone levels.