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CRC Report No. A-34 - Coordinating Research Council

CRC Report No. A-34 - Coordinating Research Council

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April 2005<br />

CMB<br />

Category<br />

Description/Interpretation<br />

predominantly propane.<br />

Biogenic Isoprene. 18<br />

Background Composite ambient background for Southern<br />

California in 1997 with isoprene removed.<br />

Morning and afternoon background profiles<br />

were used.<br />

<strong>No</strong>tes:<br />

# 9.88 ppbC is the background added to each “ambient” sample<br />

Matched to A-<strong>34</strong><br />

Categories<br />

12, 13, 19, 20, 21,<br />

22 + 9.88 ppbC #<br />

Experiment 1 in Round 1<br />

In Round 1, DRI applied CMB with minimal information to support the analysis. The results of<br />

the Round 1 analysis for experiment 1 are shown in Figure 4-1a. The main source category<br />

positively identified by CMB in experiment 1 was gasoline. CMB showed skill in correctly<br />

apportioning the amount of gasoline emissions and correctly rank ordering receptor locations<br />

from low to high gasoline contribution (Long Beach to Van Nuys). CMB systematically overestimated<br />

the contribution of gasoline emissions. The bias was greatest when the actual gasoline<br />

contribution was low (bias > 50% at Long Beach) and least when the actual gasoline contribution<br />

was high (bias < 5% at Van Nuys). Over-estimations at Long Beach, Hawthorne and LAX were<br />

most likely due to omission of a source profile that resembles the hypothetical industrial source<br />

emissions. There is also a general tendency at downwind locations such as Lake Perris and<br />

Crestline, and with aged afternoon samples at mid-basin sites, for total predicted VOC<br />

concentrations to exceed measured levels because relatively nonreactive species are used in the<br />

CMB calculations. The average ratios of predicted and measured VOCs were 1.10 for samples<br />

having xylene/benzene ratios between 1.2 and 1.6 and 1.15 for ratios less than 1.2.<br />

CMB correctly identified three other source categories in Round 1: biogenics, diesel and<br />

solvents. Biogenics were quantified accurately because the profile (in terms of PAMS species)<br />

was dominated by a single compound, isoprene. Solvents were generally under-estimated by<br />

CMB with a bias of about a factor of two. CMB accurately determined that the diesel<br />

contribution (to the sum of PAMS species) was small when the Type 2 am set of fitting species<br />

was used in the fit. This set includes decane and undecane, which CMB needs to apportion<br />

surface coatings and to distinguish between gasoline and diesel exhaust. CMB detected diesel<br />

exhaust in only 23% of the urban-fresh samples and most source contributions were significantly<br />

lower than the propagated 1-sigma uncertainties. In contrast, diesel exhaust was detected in 79%<br />

of the urban-aged samples and is often co-linear with gasoline exhaust. The relative contributions<br />

of diesel exhaust are larger for the urban-aged samples but so are the corresponding propagated<br />

uncertainties. The composite surface coating profile is detected in 87% of the urban-fresh<br />

samples when nonane, decane and undecane are used in the fit, but is detected in only 28% of the<br />

urban-aged samples when the heavy hydrocarbon is left out of the calculation. Biogenic<br />

emissions are detected in most samples at negligible levels in urban samples. Their contributions<br />

are substantially higher relative to total VOC in many of the low-aged samples, which are from<br />

Crestline. CMB accurately apportioned the biogenic contribution to air concentrations (in terms<br />

of PAMS species) because the profile is dominated by a single compound, isoprene. Because<br />

isoprene is reactive, the biogenic contributions reported by CMB represent lower limits of the<br />

H:\crca<strong>34</strong>-receptor\report\Final\sec4.doc 4-4

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