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treasure valley road dust study: final report - ResearchGate

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PM 10 and PM 2.5 by DustTrak and particle counts per size bin were averaged for the left and right<br />

inlets.<br />

In the Treasure Valley, a 440 m section of <strong>road</strong> was selected for testing. Passes were run<br />

over the same range of speeds as in Fort Bliss tests. The same lane of travel was surveyed with<br />

the vehicle traveling in both northbound and southbound directions. Using this approach, both<br />

the left and right inlets sampled the same tracks on the <strong>road</strong>. Values were averaged over each<br />

pass.<br />

The resulting values from both sets of tests were regressed against the vehicle speed<br />

using a power function:<br />

T<br />

* b<br />

T<br />

? TB<br />

? T s<br />

( 2 )<br />

where T T is the aerosol concentration at the vehicle tire, T B is the background aerosol<br />

concentration at the bumper inlet, and s is the speed of the vehicle. The parameters T * and b<br />

were iteratively calculated by minimizing the least squares error between the observed and<br />

predicted values.<br />

Figure 3-15 shows the example of the regression for DustTrak PM 10 measurements from<br />

the Treasure Valley speed tests. In this example, speed explains 97% of the variability of the<br />

average measurement from each vehicle pass. The remaining measured parameters (i.e. PM 2.5 ,<br />

and particle counts for each size bin) were also regressed against vehicle speed. The exponents<br />

of these regressions and the percentage of variance explained by the speed term are shown in<br />

Table 3-2. Note that T * in Eq. (2) is a measure of the inherent “dirtiness” of the <strong>road</strong>.<br />

Figure 3-15. Relationship between differential Dustraks measurements and vehicle speed for tests conducted<br />

on a common <strong>road</strong> section in the Treasure Valley, Idaho. R 2 = 0.97.<br />

3-15

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