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(VCCEP) Tier 1 Pilot Submission for BENZENE - Tera

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influenced the indoor air benzene concentratons. Figure 7.2 shows a comparison of various<br />

descriptive statistics of the attached garage homes.<br />

Benzene <strong>VCCEP</strong> <strong>Submission</strong><br />

March 2006<br />

Figure 7.2 Comparison of Indoor Air Benzene Concentrations<br />

in Smoking and Non-Smoking Households with Attached<br />

Garages<br />

Benzene Concentration (ug/m3)<br />

60.0<br />

50.0<br />

40.0<br />

30.0<br />

20.0<br />

10.0<br />

0.0<br />

Smoking Household Non-smoking Household<br />

Homes With Attached Garage<br />

113<br />

Min<br />

Max<br />

Average<br />

Median<br />

As shown on Figure 7.2, the presence of a smoker in a home with an attached garage has little<br />

to no impact on the indoor air concentrations of benzene in the home. This indicates that the<br />

attached garage is a more significant source of benzene in the indoor air, than benzene from<br />

environmental tobacco smoke (ETS). The contribution to children’s benzene exposure is further<br />

discussed in Section 7.2.2.2. Accordingly, the high-end indoor air concentration used in this<br />

assessment was 11.5 µg/m 3 .<br />

7.2.1.4 Indoor Air Trends Analysis<br />

Given the continued improvements in vehicle emission controls and the widespread use of<br />

re<strong>for</strong>mulated gasoline, it is likely that indoor air concentrations of benzene will continue to<br />

decrease. In an ef<strong>for</strong>t to understand this likely trend, a factor was developed to normalize the<br />

“historical” measured indoor air data to current day conditions. This factor was derived using<br />

EPA’s MOBILE 6.2 model. MOBILE is an EPA emissions factor model <strong>for</strong> estimating pollution<br />

from on-road motor vehicles. The model accounts <strong>for</strong> the emission impacts of factors such as<br />

changes in vehicle emission standards, changes in vehicle populations and activity (i.e., fleet<br />

differences), and variation in local meteorological conditions, fuel properties and air quality<br />

programs.<br />

In deriving the normalization factor (NF), MOBILE 6.2 was used to estimate the change in<br />

benzene emission rates given the historical and current conditions of fleet and fuel properties.<br />

Fleet and fuel properties in Minnesota served as the basis <strong>for</strong> the normalization factor because<br />

the Adgate et al. (2004b) study (conducted in Minnesota in 1997) was the most recent and<br />

robust dataset that was available. The fleet and fuel properties in Minnesota in 1997 and that in<br />

2003 were modeled to estimate the change in evaporative emission rates (i.e., hot-soak,<br />

diurnal, and resting). The change in emission rates was then used to estimate the emission

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