CRC Report No. A-34 - Coordinating Research Council

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April 2005 the DRI data was consistent with variability in inter-laboratory blind comparisons (Apel et al., 1999). The simulated ambient samples from the CAMx simulations were post-processed by adding random sampling noise to obtain a target level of variability for each species. The sampling noise sometimes resulted in negative concentrations that were then treated as missing data. We analyzed ambient data obtained by DRI in an October 1995 Los Angeles study that has been used in previous CRC projects (Fujita et. al., 1997a). The analysis focused on morning samples when variability should be most related to source variability and measurement artifacts and least related to different chemical aging. The October 1995 data set included 24 VOC canister samples that were collected at eight sites across the Los Angeles urban area from 6 to 7 am or 7 to 8 am on October 10-12, 1995 (Fujita et al., 1997). The sites included Azusa, Burbank, Lynwood, Long Beach, Los Angeles North Main and Pico Rivera. The VOC data were classified into PAMS and other species, and sum of the PAMS species compared to the total NMHC (TNMHC) in Figure 2-2. For most samples the PAMS species accounted for about 70% of TNHMC except for two samples from Pico Rivera that were excluded from further analysis. The weight fraction of the PAMS species (i.e., relative to the sum of PAMS species) was calculated for each of the remaining 22 samples. Figure 2-3 shows the mean weight fraction and the range (minimum to maximum) for the 22 samples on absolute and log scales. The log scale plot suggests that the relative variability depends both upon the species type (alkane, alkene, etc.) and the concentration level. Higher concentration species often have less relative variability than lower, but there are exceptions such as light alkanes. From examining the relationships between the standard deviations and the means for the species shown in Figure 2-3, we developed total variability targets (1 sigma) for species weight fractions as shown in Table 2-8. Table 2-8. Target variability (1 sigma) in weight fraction for random sampling noise. Compound Target Variability Alkanes ethane 40% c3-c4 alkanes 35% c5-c6 alkanes 20% c7+ alkanes 10% Alkenes ethene 15% propene 20% c4+ alkenes 30% isoprene 50% Alkynes acetylene 20% Aromatics benzene 10% toluene 20% c8 aromatics 15% styrene 50% c9+ aromatics 25% H:\crca34-receptor\report\Final\sec2.doc 2-11
April 2005 Figure 2-2. Comparison of the sum of PAMS species to Total NMHC for 24 morning samples from Los Angeles in October 1995. H:\crca34-receptor\report\Final\sec2.doc 2-12
Page 1 and 2: International Corporation Air Scien
Page 3 and 4: April 2005 TABLE OF CONTENTS Page E
Page 5 and 6: April 2005 Table 4-1. Categories id
Page 7 and 8: April 2005 EXECUTIVE SUMMARY Recept
Page 9 and 10: April 2005 Comparing the performanc
Page 11 and 12: April 2005 90 12 Anaheim 80 10 Cr e
Page 13 and 14: April 2005 This assumption is a mat
Page 15 and 16: April 2005 dissimilar from the loca
Page 17 and 18: April 2005 1.0 INTRODUCTION 1.1 STU
Page 19 and 20: April 2005 1.4 OVERVIEW OF PROJECT
Page 21 and 22: April 2005 Meteorological input dat
Page 23 and 24: April 2005 A-34 Num Short Name Full
Page 25 and 26: April 2005 Sunday 3-Aug-97 Monday 4
Page 27 and 28: April 2005 ARB ROG TOG ARB Profile
Page 29: April 2005 Industrial facilities fr
Page 33 and 34: April 2005 2.4 EXPERIMENTS FOR ROUN
Page 35 and 36: April 2005 Table 2-9. Source catego
Page 37 and 38: April 2005 Table 2-13. Replacement
Page 39 and 40: April 2005 from front to back is th
Page 41 and 42: April 2005 3. Set the average diese
Page 43 and 44: April 2005 Table 2-15. Model year d
Page 45 and 46: April 2005 Table 2-17. Fuel composi
Page 47 and 48: April 2005 3.0 RECEPTOR MODELING ME
Page 49 and 50: April 2005 Selection of Fitting Spe
Page 51 and 52: April 2005 samples. Spatial variati
Page 53 and 54: April 2005 • Removed ethane from
Page 55 and 56: April 2005 Table 3-2. Criteria for
Page 57 and 58: April 2005 Table 3-4 (continued). N
Page 59 and 60: April 2005 120 100 80 60 40 20 0 no
Page 61 and 62: April 2005 4.0 RESULTS This section
Page 63 and 64: April 2005 (c) Round 4: Experiment
Page 65 and 66: April 2005 emissions contributions,
Page 67 and 68: April 2005 reactivity and found CMB
Page 69 and 70: April 2005 (c) Round 4: Experiments
Page 71 and 72: April 2005 (a) 6:00am to 9:00am 80
Page 73 and 74: April 2005 (a) siteid Anaheim exp 1
Page 75 and 76: April 2005 influence CMB performanc
Page 77 and 78: April 2005 Round 3: Experiments 9-1
Page 79 and 80: April 2005 Comparison of Source Con
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April 2005 Table 4-2. Source catego
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April 2005 contributions being diff
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April 2005 to 2.4 over the A-34 sou
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April 2005 Experiment 1: Base Case
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April 2005 28. Spatial heterogeneit
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April 2005 composition derived from
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April 2005 species (CNG and LPG for
Page 95 and 96:
April 2005 REFERENCES Allen, P. 200
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April 2005 Guenther, A., B. Baugh,
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APPENDIX A Supplemental Modeling Re
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SCC Description TOG %TOG Cumulative
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SCC Description TOG %TOG Cumulative
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ARB Profile Number TOG %Total % TOG
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A-34 Number SCC Code SCC Descriptio
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A-34 Number SCC Code SCC Descriptio
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Table A-4 (continued). A-34 Source
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Table A-5. Mean source profiles (PA
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Table A-5 (concluded). A-34 Source
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APPENDIX B CMB-Derived Source Contr
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SCE (ppbC) SCE (ppbC) 18 16 14 12 1
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SCE (ppbC) 14 12 10 8 6 4 2 0 6 5 C
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SCE (ppbC) 12 10 8 6 4 2 0 6 5 Cons
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SCE (ppbC) 10 9 8 7 6 5 4 3 2 1 0 6
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SCE (ppbC) 6 5 4 3 2 1 0 Consumer P
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SCE (ppbC) SCE (ppbC) SCE (ppbC) 4
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SCE (ppbC) SCE (ppbC) 12 10 8 6 4 2
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SCE (ppbC) SCE (ppbC) SCE (ppbC) 10
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SCE (ppbC) 9 8 7 6 5 4 3 2 1 0 12 1
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SCE (ppbC) SCE (ppbC) SCE (ppbC) SC
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SCE (ppbC) 6 5 4 3 2 1 0 Consumer P
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SCE (ppbC) 160 140 120 100 80 60 40
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Diamond Bar - Source Category 14 Di
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CRC Report No. A-34 - Coordinating Research Council

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