(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 />
uncertainties in the numerical representation of various physicochemical processes in<br />
Eulerian models (e.g., plume chemistry, cloud effects), finer resolutions may not always<br />
yield better results in situations where transport plays a dominant role in the distribution of<br />
the simulated species of interest.<br />
The <strong>BRAVO</strong> study provided an opportunity to evaluate the transport components of<br />
Eulerian models independently of chemical processes. For the San Antonio tracer, CMAQ<br />
was able to explain 40% of the variance at K-Bar. For the other tracer releases, the CMAQ<br />
model was only capable of explaining 5 to 13% of the variance (as estimated by the<br />
coefficient of determination, r 2 ) there. It appears that, for inert gases at least, the CMAQ<br />
modeling system is restricted in its ability to represent transport and diffusion from a single<br />
point source to specific receptors (a conclusion that applies also to REMSAD).<br />
9.11 Evaluation of CMAQ Simulations of SO 2 , Sulfate, and Other Aerosol<br />
Components<br />
For particulate matter simulations, the MADRID aerosol module was incorporated<br />
into the CMAQ model, as described in Section 8.4.3. The performance of the resulting<br />
model, called CMAQ-MADRID here, is discussed below. (More detail is provided in the<br />
EPRI report by Pun et al. (2004), which is included in the Appendix.)<br />
9.11.1 Development of Base Case<br />
For the CMAQ-MADRID modeling, the boundary conditions, emissions inputs, and<br />
model configuration that were used for the source attribution estimates (to be described in<br />
Section 11.2) were established after evaluating the model’s performance in preliminary and<br />
sensitivity simulations. We summarize these initial simulations and their results here and<br />
describe the performance of the resulting modeling system. (The initial simulations and<br />
performance are described in detail in the EPRI report (Pun et al., 2004).)<br />
The preliminary simulation used the <strong>BRAVO</strong> emissions inventory that was described<br />
in Chapter 4. Boundary conditions were derived from the REMSAD modeling results at the<br />
boundary of the final CMAQ domain. The performance of this simulation was appraised by<br />
comparing 24-hour predictions of several species concentrations with observations<br />
throughout the <strong>BRAVO</strong> network.<br />
Model performance for this preliminary simulation was not satisfactory for SO 2 and<br />
sulfate over the eastern half of the CMAQ domain. To improve model performance, two<br />
potential causes for underestimates of sulfur concentrations were explored – possible<br />
understatement of Mexican SO 2 emissions and possible incorrect boundary conditions<br />
resulting from overstatement of SO 2 and sulfate along the boundaries of the CMAQ domain.<br />
Possible understatement of Mexican SO 2 emissions was suggested by systematic<br />
underestimation of sulfate at K-Bar during periods in July when there was a predominance of<br />
southerly winds. This hypothesis was reinforced by a September 2002 presentation by the<br />
Undersecretary of the Mexican Ministry of Energy, titled “Mexico and USA Power Plant<br />
Emissions in Perspective.” that presented total SO 2 emissions for three Mexican states<br />
bordering the United States, which constitute a large portion of the CMAQ modeling domain.<br />
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