CRC Report No. A-34 - Coordinating Research Council

April 2005
2.6 EXPERIMENTS FOR ROUND 3
Four new experiments (9-12) were developed for Round 3 after Round 2 had been completed.
ENVIRON and UC Davis decided to focus Round 3 on understanding how chemical decay and
sampling noise influence CMB performance in situations where the receptor model should do
well.
• Conduct a factorial matrix of four experiments with chemistry and sampling noise turned
on and off (Table 2-18).
• Prepare the PAMS emission inventories using source profiles that DRI had used for CMB
analysis in Rounds 1 and 2 (Table 2-19).
• Instruct DRI to use the same profiles to analyze Round 3 as Rounds 1 and 2, without
revealing that Round 3 was built upon these profiles.
• Turning off the chemistry means that there was no chemical decay of the PAMS tracers
so the experiments were purely emissions and dispersion.
• Turning off the sampling noise means that the predicted total concentrations of PAMS
species at each receptor were not altered by the sampling noise algorithm developed for
this study.
• Experiment 12 should be an ideal situation for CMB because the source profiles are
known, there is no chemical decay and no sampling noise.
Table 2-18. Design of experiments 9-12 for Round 3.
Chemistry
Experiment Number Yes No
Yes 9 10
Sampling Noise
No 11 12
Table 2-19. Assignment of DRI source profiles to A-34 source categories for Round 3.
DRI Code Description A-34 Category Numbers
NCATsb96 Non-catalyst vehicle exhaust 1, 2, 3, 4, 8
LG_EtO96 Liquid gasoline 6, 9
EvaEtO96 Gasoline evaporative emissions 5
TuMchHDc Tunnel diesel exhaust 7, 10
CPcomp_1 Consumer products and coatings average 14, 15, 16, 17
CNG/LPG 50/50 mixture of DRI’s CNG and LPG profiles 12
Biogenic Isoprene 18
BkgAMcom Morning ambient air samples 13, 19, 20, 21, 22
2.7 INFORMATION PROVIDED FOR ROUND 4
In Round 4, DRI re-analyzed experiments 1-12 and could ask for any information short of the
answer (the source contributions). DRI knew:
• The conceptual design of each experiment.
• The characteristics of the sampling noise algorithm.
• Average source profiles for each receptor and experiment based on the 9 cells around
each receptor.
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