(BRAVO) Study: Final Report. - Desert Research Institute
(BRAVO) Study: Final Report. - Desert Research Institute
(BRAVO) Study: Final Report. - Desert Research Institute
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<strong>Final</strong> <strong>Report</strong> — September 2004<br />
main exception is a period of a few days in October when REMSAD sulfur concentrations<br />
from all source areas are under-predicted by TrMB. This indicates that there was something<br />
non-average about the chemistry and/or deposition on those days. In the case of October 4<br />
(the point with the highest sulfate attribution), the deviation from the line indicates that the<br />
sulfate attribution to Texas on this day could be underestimated by TrMB by nearly a factor<br />
of 5, even though on average, the mean attribution to Texas was within one percentage point<br />
of being correct. In the REMSAD model results, which are “truth” for this test, both October<br />
4 and 5 have higher than average ozone concentrations over southeast Texas and an unusual<br />
period of no precipitation over Texas, which could cause the relationship between sulfate at<br />
Big Bend and transport from areas within Texas to be different from average. In fact,<br />
REMSAD assigns large attributions to Texas during that period.<br />
In summary, the TrMB method, using either the Monte Carlo or ATAD trajectory<br />
model run with the MM5 wind fields, can reproduce the average REMSAD sulfate<br />
attributions for the four large source areas to within ten percentage points. Examination of<br />
the relationship between sulfate attributions and endpoints indicates, though, that caution<br />
should be exercised when using TrMB to estimate source attributions on individual days.<br />
HYSPLIT can reproduce the attributions to Mexico and the western U.S., but it overestimates<br />
the attribution to Texas and underestimates that of the eastern U.S. This may be due to<br />
trajectory heights that are too low on a single highly influential day, thus giving too much<br />
influence to Texas and not enough to the eastern U.S.<br />
9.7 Evaluation of the Forward Mass Balance Regression (FMBR) Method Using<br />
REMSAD-Modeled Sulfate Concentrations<br />
In Section 9.5, the FMBR source attribution technique was evaluated using inert<br />
tracer concentrations. Sulfate source attribution has the complicating factor that the emitted<br />
sulfur undergoes transformation and removal processes during transport from the source to<br />
the receptor. To evaluate the FMBR method for a reactive species, it was applied using the<br />
REMSAD-predicted 24-hour sulfate concentrations at Big Bend. As in the TrMB evaluation<br />
described in the section above, the REMSAD results, provided an artificial reality in which<br />
both the concentrations and the contributions from 10 large source regions and the model<br />
boundary conditions were known. Therefore, the FMBR source attribution results could be<br />
compared against “known” source attributions.<br />
The main points concerning the evaluation of FMBR using the REMSAD sulfate<br />
concentrations are presented below. Details can be found in the CIRA/NPS report (Schichtel<br />
et al., 2004), which is included in the Appendix.<br />
For this evaluation, air mass transport from 10 source regions was estimated using the<br />
CAPITA Monte Carlo Model driven by the MM5 wind fields (which are the same wind<br />
fields used for the REMSAD simulation). Nine of these source regions, listed in Table 9-10,<br />
are combinations of the 17 regions shown in Figure 8-3. Monte Carlo transport of<br />
concentrations from the REMSAD domain boundaries was not simulated, so the REMSADcalculated<br />
contribution from the boundary conditions was added as an additional source<br />
contribution for the FMBR analyses.<br />
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