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Documentation of the Evaluation of CALPUFF and Other Long ...

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The fitted Gaussian plume statistics for <strong>the</strong> GP80 600 receptor arc <strong>and</strong> <strong>the</strong> initial <strong>CALPUFF</strong><br />

sensitivity tests are shown in Table 3‐15, with <strong>the</strong> percent differences (or angular <strong>of</strong>fset for <strong>the</strong><br />

plume centerline location) between <strong>the</strong> model predictions <strong>and</strong> observations also shown<br />

graphically in Figures 3‐8 through 3‐12. Unlike <strong>the</strong> <strong>CALPUFF</strong> performance for <strong>the</strong> 100 km arc<br />

that mostly overestimated <strong>the</strong> fitted plume centerline (Cmax) <strong>and</strong> observed maximum<br />

concentrations at any receptor (Omax), <strong>the</strong> <strong>CALPUFF</strong> sensitivity tests under‐estimate <strong>the</strong><br />

Cmax/Omax values for <strong>the</strong> 600 km arc by 40% to 80% (Table 3‐15 <strong>and</strong> Figures 3‐8 <strong>and</strong> 3‐9). The<br />

Cmax/Omax underestimation bias is lower (‐40% to ‐60%) with <strong>the</strong> “C” series (i.e., no<br />

meteorological observations in CALMET) <strong>of</strong> <strong>CALPUFF</strong> sensitivity tests. The <strong>CALPUFF</strong> sensitivity<br />

tests overstate <strong>the</strong> amount <strong>of</strong> plume spread (σy) along <strong>the</strong> 600 km receptor arc compared to<br />

<strong>the</strong> plume that is fitted to <strong>the</strong> observations (Figure 3‐10). The “A” <strong>and</strong> “B” series <strong>of</strong> <strong>CALPUFF</strong><br />

experiments using <strong>the</strong> turbulence dispersion (CAL <strong>and</strong> AER) tend to overestimate <strong>the</strong> plume<br />

spread along <strong>the</strong> 600 km arc by ~50% with <strong>the</strong> “C” series overestimating plume spread by<br />

~100%. For many <strong>of</strong> <strong>the</strong> experiments, use <strong>of</strong> <strong>the</strong> PG dispersion option greatly exacerbates <strong>the</strong><br />

plume spread overestimation bias with overestimation amounts above 250% for EPA1998_PG<br />

<strong>and</strong> its related BASEA_PG scenarios. Given <strong>the</strong> similarity <strong>of</strong> <strong>the</strong> “C” series (CALMET with no<br />

meteorological observations) <strong>and</strong> MMIF <strong>CALPUFF</strong> sensitivity simulations, it is not surprising that<br />

<strong>the</strong> MMIF runs also overestimate plume spread by ~100%.<br />

The predicted plume centerline angular <strong>of</strong>fset from <strong>the</strong> observed value has an easterly bias <strong>of</strong> 9<br />

to 19 degrees (Figure 3‐12). The “A” series <strong>of</strong> <strong>CALPUFF</strong>/CALMET sensitivity runs tend to have<br />

larger (> 15 degrees) plume centerline <strong>of</strong>fsets than <strong>the</strong> “B” <strong>and</strong> “C” series <strong>of</strong> experiments,<br />

indicating that using upper‐air meteorological observations in CALMET tends to worsen <strong>the</strong><br />

plume centerline predictions in <strong>the</strong> <strong>CALPUFF</strong> sensitivity runs. Surprisingly, <strong>the</strong> <strong>CALPUFF</strong>/MMIF<br />

sensitivity runs, which also do not use <strong>the</strong> upper‐air meteorological measurements, have<br />

angular <strong>of</strong>fsets in excess <strong>of</strong> 15 degrees.<br />

The observed cross wind integrated concentration (CWIC) across <strong>the</strong> plume at <strong>the</strong> 600 km arc is<br />

matched better by <strong>the</strong> <strong>CALPUFF</strong> sensitivity tests than <strong>the</strong> maximum (Cmax/Omax)<br />

concentrations (Table 3‐15 <strong>and</strong> Figure 3‐12). The EPA1998_PG <strong>and</strong> EPA1998_CAL overestimate<br />

<strong>the</strong> CWIC by 30% <strong>and</strong> 15%, respectively. However, <strong>the</strong> BASEA_PG <strong>and</strong> BASEA_CAL experiments,<br />

which are designed to emulate <strong>the</strong> EPA 1998 <strong>CALPUFF</strong> runs, underestimate <strong>the</strong> CWIC by ‐14%<br />

<strong>and</strong> ‐38%, respectively. The use <strong>of</strong> meteorological observations in CALMET appears to have <strong>the</strong><br />

biggest effect on <strong>the</strong> <strong>CALPUFF</strong> CWIC performance with <strong>the</strong> “A” series (use both surface <strong>and</strong><br />

upper‐air observations) have <strong>the</strong> largest CWIC underestimation bias <strong>and</strong> <strong>the</strong> <strong>CALPUFF</strong> CWIC<br />

performance statistics as upper‐air (“B” series) <strong>and</strong> <strong>the</strong>n surface <strong>and</strong> upper‐air (“C” series) are<br />

removed from <strong>the</strong> <strong>CALPUFF</strong> modeling. The <strong>CALPUFF</strong>/MMIF runs underestimated <strong>the</strong> CWIC by<br />

approximately ‐30%.<br />

44

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