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treasure valley road dust study: final report - ResearchGate

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3.4.2 Flux Calculation from Meteorological and Particulate Concentrations<br />

Horizontal flux emissions were calculated from the 1-second DustTrak data and the<br />

vertical wind profiles measured on the towers. Figure 3-17 shows typical time series of the PM 10<br />

concentrations measured by the DustTraks at each tower. The concentration spikes in the figure<br />

represent individual vehicle passes. The time series are labeled based on the position of the<br />

sampler. DW1_2 is the second from the bottom DustTrak on downwind tower 1 (See Figure<br />

3-18 for DustTrak heights). The results of the close downwind tower 1 are shown in the upper<br />

panel of the figure while the results from the farther downwind tower 2 are shown in the lower<br />

panel.<br />

The figure shows that the concentrations at the close downwind tower typically decrease<br />

with height. At the far downwind tower, the second highest sampler typically measures the<br />

highest concentrations. More over, the duration of the plume impact on the close tower is<br />

approximately 3-7 seconds while the duration at the far tower is 10-15 seconds. These results<br />

indicate that the <strong>road</strong> <strong>dust</strong> emissions plume is dispersing both vertically and horizontally as the<br />

plume moves downwind of the <strong>road</strong>.<br />

Figure 3-18 shows the vertical distribution of the plume at 9 m and 50 m downwindof<br />

the <strong>road</strong>. Concentrations have been normalized so that they sum to unity. The profile at the far<br />

downwind tower clearly shows that the plume is dispersing vertically.<br />

Analysis of the DustTrak data from the three towers indicated that baseline drift over the<br />

course of a day did not affect all instruments equally. In order to calculate emissions fluxes from<br />

the PM 10 concentrations, a baseline for each instrument was determined from the peaks shown in<br />

Figure 3-17. This baseline concentration was subtracted from the PM 10 time series so that the<br />

resulting concentration time series was due only to the emissions of the vehicle passing the<br />

tower.<br />

PM 10 emissions fluxes were calculated using the assumption that each DustTrak monitor<br />

represented a uniform concentration over an interval half way between the monitor and the<br />

neighboring monitor on the tower. For example, the lowest monitor on downwind tower 1<br />

(DW1_1) was representative of the PM 10 concentration from the ground to 1.83 m above ground<br />

level (AGL). The second monitor represented the PM 10 concentrations from 1.83 m AGL to 3.56<br />

m AGL, and so on. The flux of particles at each tower was calculated using the following<br />

equation:<br />

?<br />

4<br />

EF ? cos( ? ) u C ? z ? t<br />

( 3 )<br />

i?<br />

1<br />

i<br />

where EF is the emissions factor of PM 10 in grams per vehicle kilometer traveled, ? is the angle<br />

between the wind direction and a line perpendicular to the <strong>road</strong>, i is one of the four positions of<br />

the monitors on the tower, u i is the average wind speed in m/s over the interval represented by<br />

the i th monitor, C i is the average PM 10 concentration in mg/m 3 as measured by the i th monitor<br />

over the interval ? t, ? z in m is the vertical distance represented by the th i monitor, and ? t is the<br />

duration that the plume impacts the tower in seconds. A database of the emissions factors was<br />

assembled for the parameters: vehicle speed, vehicle type (i.e. Ford Ranger, Chevy Van,<br />

HumVee), date, and <strong>road</strong> orientation (i.e. East-West or North-South). The database is presented<br />

in Table 3-3.<br />

i<br />

i<br />

3-18

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