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CRC Report No. A-34 - Coordinating Research Council

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April 2005<br />

(c)<br />

Round 4: Experiments 1-8<br />

CMB vs. Actual Contribution, by Experiment<br />

90<br />

80<br />

70<br />

6<br />

CMB Contribution (%)<br />

60<br />

50<br />

40<br />

30<br />

3<br />

7<br />

812<br />

4 5<br />

3<br />

1<br />

5 74<br />

8<br />

2<br />

Gasoline<br />

Diesel<br />

Solvent<br />

Biogenic<br />

Backgd<br />

CNG and Aged<br />

LPG<br />

1:1<br />

20<br />

6<br />

3<br />

10<br />

5 1 82<br />

4<br />

7<br />

4<br />

3 6 8<br />

7 2 51<br />

6<br />

0 75846213 675281<strong>34</strong><br />

0 10 20 30 40 50 60 70 80 90<br />

Actual Contribution (%)<br />

Figure 4-2. Comparison of CMB contributions to actual contributions for experiments 1-8<br />

averaged over all receptors and hours in (a) Round 1 (b) Round 2 and (c) Round 4.<br />

Findings From Experiments 2-8<br />

• Overall CMB performance was relatively insensitive to higher atmospheric reactivity<br />

(experiment 2), weekend source mix (experiment 5), randomly varying source profiles<br />

(experiment 7) and higher random noise in the ambient data (experiment 8).<br />

• The results from experiments 7 and 8 showing that random changes did not impact CMB<br />

performance on average are expected because random changes tend to cancel when<br />

averaged by the atmosphere (experiment 7) or multiple samples (experiment 8).<br />

• CMB was robust against higher reactivity (experiment 2) because of receptor modeling<br />

protocols designed to avoid relying upon highly reactive species when ambient samples<br />

appear to be aged. However, the experiment 1 results for downwind receptors, discussed<br />

above, show that CMB performance can be degraded when air samples are highly aged at<br />

all times.<br />

• Introducing a weekend for 2 out of 4 days (experiment 5) did not degrade CMB<br />

performance because CMB was able to quantify emissions contributions on weekend<br />

days about as well as on weekdays.<br />

• When industrial emission levels were set to high levels (experiment 6) CMB tended to<br />

over-estimate the gasoline and solvent contributions by a factor of two, or more.<br />

Providing typically available source profile data in Round 2 did little to reduce these<br />

biases. Providing complete source profile data in Round 4 eliminated the bias for<br />

solvents and reduced the bias for gasoline to about 50%.<br />

H:\crca<strong>34</strong>-receptor\report\Final\sec4.doc 4-9

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