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Generic Guidance and Optimum Model Settings for the CALPUFF ...

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LIST OF FIGURES<br />

Page<br />

Figure 2-1. Figure showing examples of how to choose RMAX1, R1, RMAX2 <strong>and</strong> R2 values. One value<br />

of RMAX1, RMAX2, R1 <strong>and</strong> R2 apply to all surface <strong>and</strong> upper air stations. RMAX1 <strong>and</strong><br />

RMAX2 is typically <strong>the</strong> maximum radius of influence of <strong>the</strong> surface <strong>and</strong> upper air station,<br />

respectively. The approximate length (km) of RMAX1 <strong>and</strong> RMAX2 is shown in <strong>the</strong> figure as<br />

black solid lines. The blue circles represent approximate values (km) of R1 values<br />

representative of all surface stations. In complex terrain <strong>the</strong> R1 value is usually smaller than<br />

<strong>the</strong> RMAX value. The pink circle represents <strong>the</strong> R2 value of <strong>the</strong> upper air station <strong>for</strong> level 2<br />

<strong>and</strong> aloft...................................................................................................................................13<br />

Figure 3-1. Example showing how to estimate TERRAD. Usually, (ridge (km) to ridge (km) ) / 2, plus<br />

add 1 or 2 km. A typical value <strong>for</strong> TERRAD in this example would be 10km.....................19<br />

Figure 3-2. Aerial photograph of a typical aluminum plant showing rows of potrooms. ..........................23<br />

Figure 3-3. Shows a cross-section of two adjacent buildings with dimensions defined (Schulman <strong>and</strong><br />

Scire, 1980). The GUI screen shot below from CALPRO shows <strong>the</strong> Line Source Input<br />

section......................................................................................................................................25<br />

Figure 3-4. CALPRO GUI screenshot showing <strong>the</strong> <strong>CALPUFF</strong> user input control screen <strong>for</strong> entering line<br />

source data...............................................................................................................................25<br />

Figure 3-5 GUI screenshot from CALPRO showing <strong>the</strong> <strong>CALPUFF</strong> user input control screen <strong>for</strong> <strong>the</strong><br />

average properties <strong>for</strong> line sources.......................................................................................... 26<br />

Figure 3-6 Figure shows <strong>the</strong> difference between point source plume rise <strong>and</strong> line source plume rise<br />

(Scire <strong>and</strong> Schulman, 1981). If you treat a line source as a set of too few point sources you<br />

can seriously under or overpredict <strong>the</strong> plume rise...................................................................27<br />

Figure 3-7 Comparison of AERMOD <strong>and</strong> <strong>CALPUFF</strong> predictions of line source impacts from <strong>the</strong><br />

Arkadelphia Arkansas SF6 tracer study compared to BLP predictions. This study shows <strong>the</strong><br />

impacts of <strong>the</strong> line sources alone.............................................................................................28<br />

Figure 3-8. Predictions of 1-hour average SO2 concentrations at <strong>the</strong> downwind Alcoa Tennessee monitor<br />

<strong>for</strong> 1977 versus Observations <strong>and</strong> models, <strong>CALPUFF</strong>, BLP <strong>and</strong> AERMOD. The BLP results<br />

based on Version 1.1 of <strong>the</strong> model as well as <strong>the</strong> current version of BLP on <strong>the</strong> U.S. EPA web<br />

site (with modifications to <strong>the</strong> meteorological file to allow it to run) are shown. <strong>CALPUFF</strong><br />

closely matches BLP results while AERMOD significantly overpredicts <strong>the</strong> observed<br />

concentration measurements. ..................................................................................................29<br />

Figure 3-9 <strong>CALPUFF</strong> peak, 1-hr average concentration map using 1 hour meteorological data <strong>and</strong><br />

default calm threshold of 0.5 m/s. Computed turbulence parameters were used assuming <strong>the</strong><br />

default minimum σv of 0.5 m/s................................................................................................33<br />

Figure 3-10 <strong>CALPUFF</strong> peak, 1-hr average concentration map using 10-minute meteorological data <strong>and</strong><br />

default calm threshold of 0.5 m/s. Real turbulence parameters were used with a minimum σv<br />

of 0.2 m/s, σw was left unchanged at <strong>the</strong> model’s default values. ...........................................34<br />

Figure 3-12 <strong>CALPUFF</strong> computed σv using model defaults <strong>and</strong> one hour meteorology. (It is always<br />

preferable to use real measured values of real time turbulence wherever possible)................39<br />

Figure 3-13. Real 10-minute measured σv. (<strong>CALPUFF</strong> can read this real time data directly). ................39<br />

Table of Contents v

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