CRC Report No. A-34 - Coordinating Research Council
CRC Report No. A-34 - Coordinating Research Council
CRC Report No. A-34 - Coordinating Research Council
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April 2005<br />
emissions contributions, as discussed in more detail below where relationships between<br />
emissions and air concentrations are considered.<br />
Two CMB categories were identified by name (CNG/aged and LPG) that were not used in<br />
preparing the emissions for experiment 1 (see Table 2-9). This emphasizes that CMB category<br />
names describe the chemical characteristics of source profiles (fingerprints) rather than specific<br />
activities tracked in emission inventories.<br />
The CNG/aged profile accounted for ambient ethane whereas the LPG profile accounted for<br />
ambient propane. The main sources of ethane and propane in the emissions for experiment 1<br />
were oil/gas production, gas-fueled engines, refineries and hypothetical industrial emissions (see<br />
Section 2). The amount of ethane in experiment 1 (and experiments 2-8) was higher than<br />
intended because of an artifact. The emissions fraction for each A-<strong>34</strong> source category (Table 2-<br />
9) was defined as a ROG fraction. The PAMS species are a subset of ROG species with the<br />
exception of ethane. Therefore, ethane rich source profiles (e.g., gas-fueled engines) can have<br />
PAMS/ROG ratios greater than 1 (Table 2-11). The consequence was that contributions of<br />
ethane rich source categories (PAMS/ROG > 1 in Table 2-11) to the sum of PAMS species were<br />
artificially high. DRI accounted for the high ethane and propane backgrounds using the CMB<br />
categories CNG/aged and LPG. This outcome did not perturb the study because urban samples<br />
often contain elevated ethane and propane that are explained in CMB using the same CNG/aged<br />
and LPG categories.<br />
CMB accounted for the remaining PAMS species in the “ambient” samples using background<br />
profiles for the Los Angeles area. The real background introduced into the “ambient” samples<br />
was low (~10 ppbC) and so the CMB category “background” really corresponded to unidentified<br />
emissions. Once again, the label “background” attached to this CMB category reflects the origin<br />
of the profile rather than the identity of the emissions source. The CMB apportionments for<br />
background were biased low because the apportionments for CNG/aged and LPG (and to a lesser<br />
extent gasoline) were biased high. The background, CNG/aged and LPG categories in CMB<br />
together represent a combination of PAMS species including excess ethane and propane that<br />
cannot be explained by other source categories and CMB performance for the sum of these three<br />
categories was better than for the individual categories.<br />
Experiment 1 in Round 2<br />
The difference between Round 2 and Round 1 was that DRI had additional information to help<br />
identify source profiles. In particular, DRI had a tunnel study and gasoline samples to derive<br />
mobile source profiles for Round 2 which may be expected to help the apportionment of the<br />
“gasoline” CMB category. The results of the Round 2 analysis for experiment 1 are shown in<br />
Figure 4-1b. Overall, the apportionment of gasoline was similar in Round 2 to Round 1 with<br />
CMB showing skill in sorting out low/high contribution sites, but tending to over-estimate the<br />
contribution of gasoline. As mentioned in Section 3, the gasoline profile derived from the virtual<br />
tunnel study is very similar to the gasoline profile that DRI used in Round 1. CMB performance<br />
for solvents was better in Round 2 than Round 1, but CMB performance for diesel was poorer in<br />
Round 2. Performance for biogenics was the same in Round 2 as Round 1. The remaining<br />
emissions were classified as CNG/aged, LPG and background in Round 2 as in Round 1.<br />
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