treasure valley road dust study: final report - ResearchGate
treasure valley road dust study: final report - ResearchGate
treasure valley road dust study: final report - ResearchGate
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8.3 Differences Between Emissions Measured Roadside and PM 10 Fluxes on the Grid<br />
Scales of Air Quality Models<br />
A simple one-dimensional, time-dependent dispersion model was used to estimate the<br />
removal of particles by deposition as a plume of <strong>dust</strong> is transported downwind of a source. The<br />
model was solved numerically for dispersion parameters that correspond to both neutral and<br />
stable atmospheric conditions. Particle concentrations were assumed to be uniformly distributed<br />
from the ground to a height of 2 m at the time of emission. Particles were subsequently allowed<br />
to disperse vertically or deposit at the grid cell nearest the surface (20 cm in height) by a<br />
combination of gravitational settling and inertial impaction. The simulation was per formed for<br />
multiple particle sizes ranging from 1.44 to 9.87 ?m in diameter.<br />
Preliminary results showed that the horizontal flux of 1.44 ?m particles remains<br />
relatively constant over transport times on the order of 500 seconds. In contrast, under neutral<br />
conditions, fluxes of 9.87 ?m particles were diminished by 28% after 30 seconds (~30 – 90 m<br />
downwind of the source) and 64% after 500 seconds (~500 – 1500 m downwind of the source).<br />
Stable atmospheric conditions enhanced these reductions to 28% and 74% at30 seconds and 500<br />
seconds, respectively. Based on the size distribution of <strong>road</strong> <strong>dust</strong> emissions obtained during the<br />
TVRDS and the assumptions of the model, PM 10 <strong>road</strong> <strong>dust</strong> emissions fluxes measured 500 –<br />
1500 m downwind of a <strong>road</strong> may be 55 – 65% lower than fluxes measured <strong>road</strong>side.<br />
The model input parameters were systematically perturbed to assess the effects of model<br />
assumptions. The rate of removal of particles by inertial impaction was found to have a<br />
profound effect. In particular, the model indicated that in the absence of inertial impaction, the<br />
reduction of horizontal <strong>dust</strong> flux 500 m downwind of a <strong>road</strong> compared to <strong>road</strong>side is only on the<br />
order of 5%. The initial height of the uniformly distributed <strong>dust</strong> plume was also found to be a<br />
significant parameter (2 m in the base case). A decrease in the value of this height enhances<br />
particle removal by deposition while an increase has the opposite effect.<br />
8.4 PM 10 and PM 2.5 Source Profiles for Road Dust<br />
Silt samples collected during the winter and summer field campaigns of the TVRDS from<br />
paved and unpaved <strong>road</strong>s, samples of <strong>road</strong> sanding material obtained from ACHD, and samples<br />
of material used in Treasure Valley summertime chip-sealing operations were resuspended in a<br />
specially-designed chamber. Size-selective inlets were used to collect both the PM 10 and PM 2.5<br />
fractions of the resuspended material on Teflon and quartz filters. The filters were analyzed for<br />
mass, major ions, ammonium, chemical elements, organic carbon, and elemental carbon. Results<br />
of these chemical analyses were used to compile chemical source profiles in the PM 2.5 and PM 10<br />
size ranges for paved <strong>road</strong> <strong>dust</strong>, unpaved <strong>road</strong> <strong>dust</strong>, and <strong>road</strong> sanding material used by ACHD.<br />
The percent content of species on a mass basis, also referred to as the abundance, was used to<br />
compare the characteristics of the source profiles.<br />
There were no marked differences between source profiles collected in the winter and<br />
those collected in the summer. In both PM 10 and PM 2.5 size ranges, all of the samples showed<br />
appreciable abundances of elements associated with geologic material: aluminum (Al), silicon<br />
(Si), potassium (K), calcium (Ca), and iron (Fe). Abundances of organic and elemental carbon<br />
varied amongst samples. For paved <strong>road</strong> <strong>dust</strong>, abundances of organic carbon varied between<br />
12% and 16% while those for elemental carbon varied between 1.2% and 2.3%. In contrast,<br />
samples from unpaved <strong>road</strong>s had organic carbon abundances between 2.5% and 4.5% and<br />
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