11.07.2014 Views

treasure valley road dust study: final report - ResearchGate

treasure valley road dust study: final report - ResearchGate

treasure valley road dust study: final report - ResearchGate

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

January, February, and March were used to account for the effects of precipitation on <strong>road</strong> <strong>dust</strong><br />

emissions.<br />

Yearly average emissions were calculated by applying the summer emissions potentials<br />

in Table 5-1 and Table 5-2 to all non-Winter (i.e. not January, February, or March) months. The<br />

effect of precipitation for each non-winter month was weighted by the number of days in that<br />

month. The average emissions per day for winter were multipliedby the number of days (90) and<br />

added to the average emissions per non-winter day multiplied by the number of days (275). The<br />

total was divided by 365 to arrive at an annual-average emissions inventory.<br />

5.1.2 Future year paved <strong>road</strong> emissions<br />

Emissions inventories for future years were calculated similarly to the year 2000. Traffic<br />

Demand Model results for the years 2010, 2015, and 2020 were combined with emissions<br />

potentials to obtain emissions factors on a link-by-link basis. Since no actual TRAKER data are<br />

available for future years, the emissions potentials for future year inventories were exclusively<br />

calculated by equation (5-2) and Table 5-1 and Table 5-2. Note that the <strong>road</strong> setting<br />

(urban/rural) was re-evaluated for each link in the TDM for each year. The future year<br />

populations for individual census tracts were calculated by summing the number of houses in<br />

each Traffic Analysis Zone that is contained within the tract and scaling with year 2000<br />

populations. This approach assumes that the number of people per household remains constant<br />

between the year 2000 and all future years. A map delineating the urban/rural zones for each of<br />

the TDM years modeled is shown in Figure 5-2. For precipitation corrections, the historical<br />

average correction factors shown in Table 5-4 were used.<br />

5.1.3 Episodic paved <strong>road</strong> emissions<br />

In addition to the years, 2000, 2010, 2015, and 2020, daily emissions inventories were<br />

also assembled for January 1-9, 1991 and December 20-26, 1999. For days without<br />

precipitation, winter dry paved <strong>road</strong>s emissions were used. For days with precipitation, for each<br />

0.25mm 30 minutes of zero emissions were assumed. The total number of hours of zero<br />

emissions for a given day was calculated, subtracted from 24, and then divided by 24 to give a<br />

precipitation modifier ratio. This ratio was then multiplied by the dry paved <strong>road</strong> emissions rate<br />

to give the paved <strong>road</strong> emissions for that day.<br />

5.1.3.1 December 20 –26, 1999<br />

Because of the episode’s proximity to the beginning of the year 2000, year 2000 TDM results<br />

were used to calculate daily dry paved <strong>road</strong> emissions rates.<br />

5.1.3.2 January 1 – 9, 1991<br />

For the January 1-9, 1991 episode, the dry paved emissions were estimated from the year<br />

2000 Traffic Demand Model network. The total vehicle miles traveled (VMT) in 1991 were<br />

estimated by regressing the year 2000, 2010, 2015, and 2020 Total VMTs (see Figure 5-3). The<br />

VMT for 1991 (6.77 million miles) was then divided by the VMT for 2000 (8.79 million miles)<br />

to arrive at a correction factor for 1991 dry paved emissions. Based on this analysis, 1991 dry<br />

paved emissions were 77.1% of 2000 dry paved emissions.<br />

5-7

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!