APPENDIX VII 

MATES III 

FINAL REPORT 

PM2.5 Source Apportionment for the South Coast Air Basin Using 

Chemical Mass Balance Receptor Model 

Authors

Tuyet-Le Pham 

Bong Mann Kim 

Aaron Katzenstein 

Tracy Goss
MATES III Final Report

Appendix VII- 1

Appendix VII 

PM2.5 Source Apportionment for the South Coast Air Basin 

Using Chemical Mass Balance Receptor Model 

VII-1 Introduction 

The MATES II Study found that the major contributor to risk from ambient air toxics was diesel 

exhaust. Since there is no method to directly measure diesel particulate matter, an indirect method must be used. In MATES II, the concentration of elemental carbon (EC) in PM10 filter 

samples was multiplied by a factor of 1.04 to estimate diesel particulate matter for cancer risk 

assessment. The presence of high levels of EC within diesel exhaust is a unique property of this 

combustion source. A factor of 1.04 was determined from diesel source profiles and fine particle 

samples collected in 1982. Due to uncertainty from this approach, the MATES III Technical 

Advisory Group recommended using speciated analysis conducted upon the collected PM2.5 filters within a Chemical Mass Balance (CMB) model to estimate diesel contributions. The Positive Matrix Factorization (PMF) receptor model was also suggested. 

PM2.5 source apportionment for the Basin was conducted using the CMB receptor model 8.2 approved by the U.S. EPA and the MATES III ambient data collected over a two-year period from 

March 2004 to April 2006 at the ten MATES III monitoring stations. 

In particular, gasoline and diesel-vehicle contributions were differentiated with the use of organic compounds (Chow et al. 2007). Contributions of other primary sources to ambient PM2.5

mass concentrations (biomass burning, cooking operations, sea salt, geological, residual oil burning, and limestone) were also estimated. 

VII-2 MATES III Source Apportionment 

CMB Model 

The CMB model was first developed by Miller, et al. (1972) and further refined by Friedlander 

(1973) and Watson (1979). The CMB model, which uses selected chemical species as mass balance fitting species, is a tool to estimate source contributions. The ambient concentration of 

chemical species i is expressed as a linear equation: 

 

where aij is fractional concentration of chemical species i in source j, Sj is total mass concentration contributed by source j, p is number of sources, and n is number of species. 

Since the number of chemical species, n, is usually larger than the number of sources, p, the system is over-determined and the least-squares fitting approach is applied. The model requires the 

C a S i n i

j

p

ij j = =

=



1

, , 1
MATES III Final Report

Appendix VII- 2

identification of emission sources, the selection of chemical species and source profiles, and the 

ambient data. Input uncertainty is critical to the model since it determines the importance of input data to the model solutions (EPA, 2004). In summary, the CMB source apportionment is depicted by the following flowchart: 

Figure 1. Source Apportionment Flowchart 

MATES III Ambient Data 

Monthly-averaged ambient data from samples collected at the ten fixed MATES III sites [West 

Long Beach (WLB), North Long Beach (NLB), Compton (CP), Huntington Park (HP), Pico Rivera (PR), Los Angeles (LA), Burbank (BU), Inland Valley San Bernardino (SB), Rubidoux 

(RU), and Anaheim (AN)] were utilized. Sampling was conducted every three days over a twoyear period from March 2004 to April 2006. Since October 2004 through February 2005 was not 

considered a typical winter season for the Basin (with 56 rainy days and 24.2 to 33.9 inches of 

rain in Los Angeles and Long Beach per National Climatic Data Center), the MATES III sampling program was extended one more year to April 2006. During the second year (2005-2006), 

sampling was not conducted in Pico Rivera and Huntington Park for a full year. Elemental Carbon (EC), organic carbon (OC), ions, metals, and monthly-composite organics samples were analyzed. Details of the sites and sampling protocols are given in Chapter 2. 

Selected Source Profiles 

Before selecting the source profiles, available and pertinent previous studies were reviewed. 

Great care was made to ensure that the chosen source profiles represented the Basin and therefore were most applicable for this study. The following source profiles for the MATES III 

source apportionment model and their basis for selection are as follows: 

• Ammonium Nitrate and Ammonium Sulfate Profiles 

Single constituent source profiles consisting of pure nitrate and sulfate (Chow, et al. 2007) 

were used. 

Input CMB Model Output

 

Ambient Data 

Source Profiles 

Selected Chemical

Species 

Source 

Apportionment 
MATES III Final Report

Appendix VII- 3

• Biomass Burning Profile

A biomass burning profile was developed for the Basin by Schauer (1998) based on the testing of residential fireplaces burning oak wood. This profile was selected due to the similarity 

of its levoglucosan (0.138 ± 0.0001) mass fraction compared to the levoglucosan level from 

the most recent and comprehensive combined profile developed by Fine (2002) for fireplace 

and woodstove combustion (0.126 ± 0.0002). In these profiles, OC, EC, and TC (total carbon) were analyzed accordingly to the NIOSH protocol that was different than the 

IMPROVE thermal/optical reflectance (TOR) protocol used in the MATES III. 

In addition, another biomass burning profile developed by Desert Research Institute (DRI) 

for use in a source apportionment study in Fresno (Chow, et al. 2007) was also applied to the 

Los Angeles, West Long Beach, and Rubidoux CMB source apportionment for comparison 

purposes. 

• Cooking Profile 

A meat cooking profile consisting of average data from charbroiling chicken with skin on 

was developed by Zielinska, et al. (1998). This profile applied the same IMPROVE TOR 

protocol that was used in the MATES III to analyze OC, EC, and TC. 

• Diesel Exhaust Profile

A diesel motor-vehicle profile was developed during the summer of 2001 for the Basin as 

part of the Department of Energy’s (DOE) Gasoline/Diesel PM Split Study (Fujita, et al. 

2006) and was normalized to PM2.5 mass for use in the Fresno Supersite Study (Chow, et al. 

2007). This profile was selected because: (1) it was the most recently developed and comprehensive one that tested 34 diesel vehicles of various vehicle weights and model years operated under various cycles; (2) it was the profile where OC, EC, and TC were analyzed using the same IMPROVE TOR protocol that was applied in MATES III; (3) it was also used 

in the most recent CMB studies (Chow, et al. 2007 and Lough, et al. 2005); and (4) it generated better model performance statistics that are more acceptable to the CMB practice. 

However, sensitivity tests for mobile diesel exhaust have also been conducted for Los Angeles. In particular, various diesel profiles from the Northern Front Range Air Quality Study 

(NFRAQS) were applied. The poor performance statistics indicate that these diesel profiles 

were not adequate for the model. 

• Gasoline-Vehicle Exhaust Profile 

A gasoline motor-vehicle profile developed for the Basin as part of the DOE’s Gasoline/Diesel Split Study (Fujita, et al. 2006) and normalized to PM2.5 mass for use in the Fresno Supersite Study (Chow, et al. 2007) was selected. This profile was based on the testing of 

57 gasoline vehicles of various model years and mileages operated under various cycles. 

In addition, another profile (Zielinska, et al. 1998) developed during summer 1996 and winter 1997 for the NFRAQS was also selected. This profile was based on the testing of a larger 

fleet consisting of 111 gasoline vehicles under various operating cycles and also utilized the 
MATES III Final Report

Appendix VII- 4

same IMPROVE TOR protocol used in the MATES III to analyze EC, OC, and TC. Since 

mobile source emissions vary upon ambient temperature (Mathis, et al. 2005), fuel use, engines, driving modes, and lubricating oil (Lough and Schauer, 2005); the differences in fleet 

composition and ambient temperature were recognized. Therefore, both gasoline profiles 

were utilized for the analysis and a range for gasoline motor exhaust contribution was provided. 

• Sea Salt Profile

An “aged” sea salt profile was developed by Chow, et al. (1996), which reflects a reaction of 

sea salt and nitric acid (HNO3) where 0.5 mole of chlorine (Cl-) was replaced by one mole of 

nitrate (NO3-). 

• Geological Profile 

A geological profile was developed by Chow, et al. (2003) from paved road suspended dust 

samples collected in the San Joaquin Valley. Although this profile was not developed for the 

Basin, its mass fractions (0.052 ± 0.01) of iron (Fe) and (0.035 ± 0.01) of calcium (Ca) are 

similar to those in Cooper, et al.’s profile (1987) developed for the Basin (0.052 ± 0.02 for 

Fe) and (0.035 ± 0.01 for Ca). Fe and Ca were two of the three selected fitting species for 

geological apportionment in the MATES III CMB. 

• Residual Oil Burning Profile 

A residual oil burning profile was developed for the Basin by AQMD (1989) based on samples collected from a residual oil-fired boiler at a power plant in the Basin. Residual oil 

burning is mainly used in ships (Corbett and Fischbeck, 1997). Although vanadium (V) and 

nickel (Ni) concentration in residual oil is minimal compared to that of sulfur, vanadium is a 

unique species to characterize ship PM emissions. 

• Limestone Profile 

A profile developed by AQMD (1989) from the testing of Portland cement in a kiln was used 

only for the Rubidoux site. 

Selected Fitting Species 

Fitting species were pre-selected based on information from previous studies and further 

screened based on their correlation co-efficients and ambient concentrations. Species with higher ambient concentrations than their uncertainties and species with high correlation co-efficients 

(correlation co-efficients  0.8) were selected. However, the ambient concentration criteria was 

not strictly applied to levoglucosan, cholesterol, palmitoleic acid, coronene, indeno [123-

cd]pyrene, and benzo(ghi) perylene, which often have low ambient concentrations. 

 

The following were selected fitting species for the MATES III source apportionment categorized 

by their major sources: 

• Ammonium nitrate and ammonium sulfate: NO3

- and SO4-2

• Biomass burning: Levoglucosan and potassium (K) 
MATES III Final Report

Appendix VII- 5

• Meat cooking: Cholesterol and palmitoleic acid 

• Diesel-vehicle exhaust: EC, Steranes 48 and 49, Hopanes 17, 19, 24, and 26 

• Gasoline-vehicle exhaust: 

– Indeno[123-cd]pyrene, benzo(ghi)perylene, coronene 

– Steranes 48 and 49 

– Hopanes 17,19, 24, and 26 

• Sea salt: sodium (Na+

) and chlorine (Cl-) 

• Geological: Silica (Si), calcium (Ca), and iron (Fe) 

• Residual oil burning: Vanadium (V) and nickel (Ni) 

Organic carbon (OC) was not used in the CMB analysis because measured ambient OC is believed to be biased high. The flow rate (6.7 lpm) of the SASS PM sampler used during MATES 

III was approximately three times slower than that (20 lpm) of the Multi-Channel Fine Particulate (MCFP) sampling system used for the measurements of EC, OC, ions, and trace metals as 

part of the PTEP (1995) and MATES II studies. Higher flow rate is believed to have a greater 

stripping effect upon lighter organic compounds that may accumulate during slower flow. Slower flow rate in the SASS sampler reduces pressure drop through the sampler and increases the 

absorption of lighter organic compounds on quartz filter medium. Therefore, OC measured by 

the SASS sampler is often higher than that measured by the higher flow MCFP sampler. This 

positive OC bias leads to a higher total carbon (TC) than total mass due to the deposition difference between the quartz filters that were used to collect EC, OC, TC and Teflon filters that were 

used for mass (Turpin, et al. 1994). While PM2.5 mass decreased 20 – 40% in 2004 compared to 

the 1995 ambient data, EC decreased 50 – 57%, nitrate decreased 30 – 54%, and sulfate decreased 11-25%, only organic carbon increased 13 to 50%. Additionally, the SASS sampler did 

not account for positive OC artifacts by using backup filters. 

VII-3 Results and Discussion 

The PM2.5 source apportionment was conducted independently for each sampling year, using the 

same source profiles and fitting species. Specifically, the monthly source apportionment for the 

fixed sites was conducted by targeting R2 values of 0.8 to 1.0, Chi2 values of less than 4.0, and 

differences between calculated and measured PM2.5 mass of less than 20%, which are the CMB 

optimal performance criteria. 

The modified pseudo-inverse matrix (MPIN) diagnostic, an option to identify influential chemical species (Kim and Henry, 1989) shows that EC (with normalized MPIN absolute value of 1.0) 

is the most influential chemical species for diesel-vehicle exhaust, while the three PAHs (with 

absolute values  0.5): indeno [123-cd]pyrene, benzo(ghi) perylene, and coronene found in used 

gasoline motor oil, and sterane 48 found in engine lubricating oil (Fujita, et al. 2006) are most 

influential species to gasoline-vehicle exhaust in this model. 
MATES III Final Report

Appendix VII- 6

April 2004 – March 2005 (First-Year) PM2.5 Source Apportionment 

Both Basin and the NFRAQS gasoline profiles were used in two CMB estimates, holding all other source profiles the same. 

With the Basin Gasoline Profile 

A Basin gasoline-vehicle profile used in the Fresno Supersite Study (Chow, et al. 2007) was 

applied to the CMB analysis. 

The annual-average source contribution estimates of major PM2.5 source categories (in 

μg/m3) and their percentages of the total predicted mass are summarized in Table 1 and Figure 2. 

Table VII-1 

First-Year PM2.5 Source Contribution Estimates - Basin Gasoline Profile 

 WLB NLB CP HP PR LA BU SB RU AN 10-Site 

Ave. 

Ammonium 

Nitrate 

4.39 

(22.0) 

5.14 

(27.2) 

5.68 

(27.3) 

6.99 

(30.5) 

7.03 

(32.8) 

7.04 

(34.0) 

7.33 

(35.0) 

8.42 

(37.7) 

10.08 

(44.8) 

5.70 

(32.3) 

6.78 

(31.6) 

Ammonium 

Sulfate 

5.68 

(28.5) 

5.68 

(30.0) 

5.43 

(26.1) 

5.68 

(24.8) 

5.22 

(24.4) 

5.06 

(24.4) 

4.75 

(22.7) 

4.53 

(20.3) 

4.49 

(19.9) 

4.81 

(27.3) 

5.13 

(23.9) 

Biomass 

Burning 

0.57 

(2.8) 

0.28 

(1.5) 

0.20 

(1.0) 

0.15 

(0.7) 

0.34 

(1.6) 

0.28 

(1.3) 

0.33 

(1.6) 

0.22 

(1.0) 

0.38 

(1.7) 

0.22 

(1.3) 

0.30 

(1.4) 

Cooking 1.93 

(9.6) 

1.47 

(7.8) 

2.78 

(13.4) 

2.13 

(9.3) 

1.59 

(7.4) 

1.60 

(7.7) 

1.74 

(8.3) 

1.65 

(7.4) 

1.43 

(6.4) 

1.37 

(7.8) 

1.77 

(8.2) 

Diesel Exhaust 3.35 

(16.8) 

2.47 

(13.1) 

2.93 

(14.1) 

3.77 

(16.5) 

3.61 

(16.9) 

3.11 

(15.0) 

3.43 

(16.4) 

3.70 

(16.6) 

2.72 

(12.1) 

2.22 

(12.6) 

3.13 

(14.6) 

Gasoline 

Exhaust 

0.36 

(1.8) 

0.37 

(2.0) 

0.51 

(2.4) 

0.51 

(2.2) 

0.26 

(1.2) 

0.22 

(1.1) 

0.29 

(1.4) 

0.16 

(0.7) 

0.24 

(1.0) 

0.24 

(1.3) 

0.31 

(1.5) 

Sea Salt 1.57 

(7.9) 

1.84 

(9.7) 

1.92 

(9.2) 

1.80 

(7.8) 

1.76 

(8.2) 

1.64 

(7.9) 

1.47 

(7.0) 

1.33 

(6.0) 

1.38 

(6.1) 

1.77 

(10.1) 

1.65 

(7.7) 

Geological 0.83 

(4.2) 

0.83 

(4.4) 

0.87 

(4.2) 

1.45 

(6.3) 

1.23 

(5.7) 

1.45 

(7.0) 

1.32 

(6.3) 

2.03 

(9.1) 

0.81 

(3.6) 

0.80 

(4.6) 

1.16 

(5.4) 

Residual Oil 

Burning 

1.30 

(6.5) 

0.82 

(4.4) 

0.51 

(2.5) 

0.43 

(1.9) 

0.39 

(1.8) 

0.33 

(1.6) 

0.29 

(1.4) 

0.28 

(1.3) 

0.27 

(1.2) 

0.52 

(2.9) 

0.51 

(2.4) 

Limestone 0.72 

(3.2) 

Predicted 

Mass 19.98 18.89 20.83 22.89 21.42 20.73 20.93 22.33 22.50 17.65 21.46 

Measured 

Mass 17.72 18.41 19.34 22.2 20.6 19.38 21.21 21.35 23.54 17.55 20.13 

Italic, bold values in ( ) are the percentages of predicted mass 
MATES III Final Report

Appendix VII- 7

0.0

5.0

10.0

15.0

20.0

25.0

WLB NLB CP HP PR LA BU SB RU AN

Stations

Concentrations (μg/m

3

)

Limestone

Residual Oil Burning

Geological

Sea Salt

Gasoline Exhaust

Diesel Exhaust

Cooking

Biomass Burning

Ammonium Sulfate

Ammonium Nitrate

Figure VII-2. First-Year PM2.5 Source Contribution Estimates – Basin Gasoline Profile 

The CMB estimated PM2.5 mass contributions range from 17.65 to 22.89 μg/m3 across the 

Basin. Major source contributors are ammonium nitrate (4.39 – 10.08 μg/m3, 22 – 44.8%), 

ammonium sulfate (4.49 – 5.68 μg/m3

, 19.9 – 30%), biomass burning (0.15 – 0.57 μg/m3, 0.7 

– 2.8%), cooking (1.37 – 2.78 μg/m3, 7.8 – 13.4%), diesel exhaust (2.22 – 3.77 μg/m3, 12.6 – 

16.5%), gasoline exhaust (0.16 – 0.51 μg/m3, 0.7 – 2.4%), sea salt (1.33 - 1.92 μg/m3, 6.0 – 

9.2%), geological (0.80 – 2.03 μg/m3

, 4.6 – 9.1%), residual oil burning (0.27 – 1.30 μg/m3, 

1.2 – 6.5%), and limestone (0.72 μg/m3, 3.2%) at the Rubidoux site. 

The model performance statistics of the first year source apportionment (averaged R2 values 

of 0.9 – 0.96; Chi2 values of 2.02 – 3.12; and % difference in mass of 1 – 10%) are within the 

optimal performance ranges (R2

: 0.8 – 1.0; Chi2 4.0; and % difference in mass 20%). 

Such optimal performance statistics indicate that the Basin gasoline profile is adequate for 

the CMB model. 

However, high ratios of diesel-to-gasoline exhaust contributions are observed across the Basin (from 5.75 in Compton to 23.13 in Inland Valley San Bernardino). The average dieselgasoline ratio for all stations is 10.10, which is significantly higher than the 2007 AQMP diesel-gasoline emissions ratio of 1.90 and the ratio of 2.68 calculated from Fujita, et al.’s 

(2006) emission factors. 

Source apportionment using the NFRAQS gasoline profile was therefore conducted, and the 

results are also presented in this analysis. 

With the NFRAQS Gasoline Profile 

A NFRAQS gasoline-vehicle profile used in the NFRAQS (Zielinska, et al. 1998) was applied to the CMB analysis. 
MATES III Final Report

Appendix VII- 8

The annual-average source contribution estimates of major PM2.5 source categories (in 

μg/m3) and their percentages of the total predicted mass are summarized in Table 2 and Figure 3. 

Table VII-2 

First-Year PM2.5 Source Contribution Estimates - NFRAQS Gasoline Profile 

WLB NLB CP HP PR LA BU SB RU AN 10-Site 

Ave. 

Ammonium 

Nitrate 

4.40 

(21.0) 

5.14 

(26.2)

5.69 

(26.0) 

7.00 

(29.3) 

7.03 

(32.0) 

7.04 

(33.2)

7.33 

(34.0) 

8.43 

(37.2) 

10.08 

(44.0) 

5.70 

(31.3) 

6.78 

(30.7)

Ammonium 

Sulfate 

5.73 

(27.4) 

5.71 

(29.1)

5.47 

(25.0) 

5.73 

(24.0) 

5.25 

(23.9) 

5.09 

(24.0) 

4.78 

(22.2) 

4.55 

(20.1) 

4.51 

(19.7) 

4.82 

(26.5) 

5.16 

(23.3) 

Biomass 

Burning 

0.56 

(2.7) 

0.28 

(1.4)

0.20 

(0.9) 

0.15 

(0.6) 

0.34 

(1.6) 

0.28 

(1.3) 

0.33 

(1.5) 

0.22 

(1.0) 

0.38 

(1.6) 

0.22 

(1.2) 

0.30 

(1.3) 

Cooking 1.93 

(9.2) 

1.49 

(7.6)

2.88 

(13.2) 

2.17 

(9.1) 

1.59 

(7.2) 

1.61 

(7.6) 

1.76 

(8.2) 

1.72 

(7.6) 

1.44 

(6.3) 

1.39 

(7.6) 

1.80 

(8.1) 

Diesel 

Exhaust 

3.25 

(15.5) 

2.20 

(11.2)

2.67 

(12.2) 

3.34 

(14.0) 

3.30 

(15.0) 

2.85 

(13.4) 

3.18 

(14.8) 

3.51 

(15.5) 

2.54 

(11.1) 

2.10 

(11.5) 

2.89 

(13.1) 

Gasoline 

Exhaust 

1.42 

(6.8) 

1.24 

(6.3)

1.63 

(7.4) 

1.75 

(7.3) 

1.05 

(4.8) 

0.87 

(4.1) 

1.06 

(4.9) 

0.60 

(2.7) 

0.85 

(3.7) 

0.83 

(4.6) 

1.13 

(5.1) 

Sea Salt 1.58 

(7.5) 

1.84 

(9.4)

1.90 

(8.7) 

1.79 

(7.5) 

1.76 

(8.0) 

1.64 

(7.7) 

1.47 

(6.8) 

1.33 

(5.9) 

1.38 

(6.0) 

1.76 

(9.7) 

1.64 

(7.4) 

Geological 0.79 

(3.8) 

0.87 

(4.5)

0.95 

(4.3) 

1.49 

(6.3) 

1.26 

(5.8) 

1.49 

(7.0) 

1.35 

(6.3) 

2.00 

(8.8) 

0.78 

(3.4) 

0.85 

(4.7) 

1.19 

(5.4) 

Residual Oil 

Burning 

1.28 

(6.1) 

0.83 

(4.2)

0.52 

(2.4) 

0.43 

(1.8) 

0.39 

(1.8) 

0.33 

(1.5) 

0.29 

(1.4) 

0.28 

(1.2) 

0.27 

(1.2) 

0.53 

(2.9) 

0.51 

(2.3) 

Limestone 

0.71 

(3.1) 

Predicted 

Mass 20.94 19.59 21.91 23.85 21.98 21.20 21.55 22.64 22.93 18.20 21.40 

Measured 

Mass 17.72 18.41 19.34 22.20 20.60 19.38 21.21 21.35 23.54 17.55 20.13 

Italic, bold values in ( ) are the percentages of predicted mass 

0.0

5.0

10.0

15.0

20.0

25.0

WLB NLB CP HP PR LA BU SB RU AN

Stations

Concentrations (μg/m

3

)

Limestone

Residual Oil Burning

Geological

Sea Salt

Gasoline Exhaust

Diesel Exhaust

Cooking

Biomass Burning

Ammonium Sulfate

Ammonium Nitrate

Figure VII-3. First-Year PM2.5 Source Contribution Estimates - NFRAQS Gasoline Profile 
MATES III Final Report

Appendix VII- 9

The CMB estimated PM2.5 mass contributions range from 18.20 to 23.85 μg/m3

 across the 

Basin. Major source contributors are ammonium nitrate (4.40 – 10.08 μg/m3

, 21 - 44%), 

ammonium sulfate (4.51 – 5.73 μg/m3, 19.7 – 27.4%), biomass burning (0.15 – 0.56 μg/m3, 

0.6 – 2.7%), cooking (1.39 – 2.88 μg/m3, 7.6 – 13.2%), diesel exhaust (2.10 – 3.51 μg/m3, 

11.6 – 15.5%), gasoline exhaust (0.6 – 1.75 μg/m3, 2.7 – 7.3%), sea salt (1.33 -1.9 μg/m3, 5.9 

– 8.7%), geological (0.78 – 2.0 μg/m3, 3.4 – 8.8%), residual oil burning (0.27 – 1.28 μg/m3, 

1.2 – 6.1%), and limestone (0.71 μg/m3

, 3.1%) at the Rubidoux site. 

The model performance statistics of the first year source apportionment (averaged R2 values 

of 0.93 – 0.96; Chi2 values of 2.02 – 2.94; and % difference in mass of 1 – 13%) are within 

the optimal performance ranges (R2: 0.8 – 1.0; Chi2 4.0; and % difference in mass 20%). 

Such optimal performance statistics indicate that the NFRAQS gasoline profile is also adequate for the CMB model. 

The ratios of diesel to gasoline-exhaust contributions across the Basin vary from 1.64 in 

Compton to 5.80 in Inland Valley San Bernardino. The average diesel to gasoline ratio for 

all stations is 2.56, which is within the range of the 2007 AQMP diesel-gasoline emissions 

ratio of 1.90 and the ratio of 2.68 calculated from Fujita, et al.’s (2006) emission factors. 

Basin and NFRAQS Gasoline Profiles Comparison 

Figure 4 compares the first-year contributions of major sources averaged among ten sites, using both Basin and NFRAQS gasoline profiles. 

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

Ammonium

Nitrate

Ammonium

Sulfate

Biomass

Burning

Cooking Diesel

Exhaust

Gasoline

Exhaust

Sea Salt Geological Residual Oil 

Burning

Limestone

Sources

Concentrations (μg/m

3

)

NFRAQS Gasoline Profile Basin Gasoline Profile

Figure VII-4. First-Year – 10-Site Average Sources Comparison 

Applying the Basin gasoline profile affects other sources only slightly, but greatly impacts 

gasoline exhaust contributions. The 10-site average contribution from diesel exhaust went 

from 3.13 μg/m3

 with the Basin gasoline mobile to 2.89 μg/m3 with the NFRAQS gasoline 
MATES III Final Report

Appendix VII- 10

profile, a difference of 7.7%. Using the Basin gasoline profile also results in similar spatial 

contribution pattern as using the NFRAQS profile. 

Spatial Analysis 

The following discussion on spatial and seasonal differences of apportioned mass below focuses on the apportionment using the NFRAQS gasoline profile. Ammonium nitrate displays 

a strong spatial variation, with high contributions inland and low contributions in coastal areas. Ammonium nitrate varies between 4.4 μg/m3

 (21%) in West Long Beach and 10.08 

μg/m3 (44%) in Rubidoux. Nitric acid concentration increases to the highest level at Diamond Bar that is located upwind of a dense array of dairy ammonia source (Kim, et. al. 

2000). Most of the nitric acid is then neutralized by ammonia while transported to downwind 

locations that results in high ammonium nitrate contribution in Rubidoux. 

Ammonium sulfate also shows a strong spatial variation, but in contrast to ammonium nitrate, with high contributions in coastal areas and low contributions inland. Ammonium sulfate varies between 5.73 μg/m3

 (27.4%) in West Long Beach and 4.51 μg/m3 (19.7%) in Rubidoux. Greater RH ( 75%) at the coastal sites and the importance of the aqueous-phase 

sulfate chemistry at high RH may explain the higher sulfate contributions at coastal sites. 

Biomass burning does not show a clear spatial variation. The highest contribution is observed at West Long Beach (0.56 μg/m3

, 2.7%) and the lowest contribution is observed at 

Huntington Park (0.15 μg/m3

, 0.6 %). 

 

Cooking does not display a clear spatial variation. The highest contribution is observed at 

Compton (2.88 μg/m3, 13.2%) and the lowest contribution is observed at Anaheim (1.39 

μg/m3, 7.6%). The highest cooking concentration at Compton may be biased since the monitoring station is located above the county fire station where cooking activities might occur 

during the sampling period. 

Diesel exhaust displays high contributions in West Long Beach (3.25 μg/m3, 15.5%), which 

is within close proximity to the ports and cargo distribution centers, and at industrial areas, 

such as Huntington Park (3.34 μg/m3, 14%), Burbank (3.18 μg/m3, 14.8%), Inland Valley 

San Bernardino (3.51 μg/m3, 15.5%), and Pico Rivera (3.3 μg/m3, 15%) where heavy dieseltruck traffic occurs. The lowest diesel contribution is observed at Anaheim (2.10 μg/m3

, 

11.5%). 

The highest gasoline exhaust contribution is observed at Huntington Park (1.75 μg/m3

, 7.3%) 

and the lowest contribution is observed at Inland Valley San Bernardino (0.60 μg/m3

, 2.7%). 

Gasoline exhaust displays higher contributions at the ports and in more urbanized areas 

where dense population and heavy gasoline-vehicle traffic are located. However, the gasoline estimate for Los Angeles (0.87 μg/m3

, 4.1%) is relatively lower than other urbanized areas. 

Sea salt shows a spatial variation with high contributions in coastal areas and low contributions inland. The highest contribution is observed at Compton (1.90 μg/m3

, 8.7%) and the 

lowest contribution is observed in Inland Valley San Bernardino (1.33 μg/m3, 5.9%). 
MATES III Final Report

Appendix VII- 11

Geological shows a strong spatial variation with low contributions in coastal areas and high 

contributions inland. The lowest contribution is observed at West Long Beach (0.79 μg/m3

, 

3.8%) and the highest contribution (2.0 μg/m3, 8.8%) is observed at Inland Valley San Bernardino where high winds cause more re-suspended soil dust. 

Limestone is the only other source contributing to PM2.5 mass at Rubidoux. The geological 

source alone was not sufficient to explain the high measured ambient calcium concentrations 

in Rubidoux. Addition of limestone source in the CMB analysis accounted for the excess 

calcium. These findings are consistent with earlier studies (Chow, et. al., 1992; Kim, et. al., 

1992). 

 

Residual oil burning displays a strong spatial variation. The highest residual oil burning contribution (1.28 μg/m3

, 6.1%) is observed in West Long Beach where shipping activities occur. The contributions remain higher in the surrounding coastal areas in relation to the inland. The lowest contribution is observed at Rubidoux (0.27 μg/m3

, 1.2%). 

Seasonal Analysis 

Ammonium nitrate displays a seasonal variation. The highest contribution is observed in the 

fall (September through November) as shown in Figure 5. Cool temperatures and stagnant 

conditions favor the formation of ammonium nitrate (Appel, et al., 1980, Stelson and Seinfeld, 1982, Russel, et al., 1983). The average ammonium nitrate among the 10 monitoring 

sites varies between 5.51μg/m3 in the winter (December through February) and 8.23 μg/m3 in 

the fall. 

As depicted in Figure 5, ammonium sulfate displays a clear seasonal variation. Unlike ammonium nitrate, the highest ammonium sulfate contribution is observed in the summer (June 

through August) and the lowest contribution in the winter. The average ammonium sulfate 

among 10 sites varies between 1.99 μg/m3 and 8.70 μg/m3. 

Biomass burning shows a strong seasonal variation as shown in Figure 5. The highest contributions are observed in the fall and winter when more heating activities and lower ambient 

air mixing height occur. The average biomass burning among 10 sites varies between 0.11 

μg/m3

 in the summer and 0.38 μg/m3 in the fall and winter. 

As illustrated in Figure 6, although cooking does not show a clear seasonal variation, the 

highest cooking contribution is observed in the winter when ambient air mixing height is 

low. The average cooking among 10 sites varies between 1.10 μg/m3

 in the summer and 2.23 

μg/m3

 in the winter. 
MATES III Final Report

Appendix VII- 12

0.0

2.0

4.0

6.0

8.0

10.0

Ammonium Nitrate Ammonium Sulfate

Sources

Concentrations (μg/m

3

)

Spring

Summer

Fall 

Winter

Figure VII-5. First Year 10-Site Average Seasonal Contributions – 

Ammonium Nitrate and Sulfate 

0.0

0.5

1.0

1.5

2.0

2.5

Biomass Burning Meat Cooking

Sources

Concentrations (μg/m

3

)

Spring

Summer

Fall

Winter

Figure VII-6. First Year 10-Site Average Seasonal Contributions – 

Biomass Burning and Cooking 
MATES III Final Report

Appendix VII- 13

Diesel exhaust displays a strong seasonal variation as shown in Figure 7. The highest contribution is observed in the winter when ambient air mixing height is low. The average dieselvehicle exhaust among 10 sites varies between 1.86 μg/m3

 in the spring (April and May) and 

4.13 μg/m3 in the winter. 

As with diesel exhaust, the highest gasoline contribution (1.62 μg/m3) is also found in the 

winter when ambient air mixing height is low. As shown in Figure 7, the lower contributions 

(0.8 μg/m3 and 0.91 μg/m3) are observed in the summer and fall, respectively. 

0.0

1.0

2.0

3.0

4.0

5.0

Diesel Exhaust Gasoline Exhaust

Sources

Concentrations (μg/m

3

)

Spring

Summer

Fall

Winter

Figure VII-7. 10-Site Average First-Year Seasonal Contributions – Diesel and Gasoline 

Exhaust 

As depicted in Figure 8, the highest sea salt contribution (2.68 μg/m3) is observed in the 

spring when land and sea temperature differential is higher, resulting in stronger offshore 

winds that create greater sea spray. The lowest contribution (1.42 μg/m3) is observed in the 

summer. 
MATES III Final Report

Appendix VII- 14

0.0

1.0

2.0

3.0

Sea Salt Geological Residual Oil Burning

Sources

Concentrations (μg/m

3

)

Spring

Summer

Fall 

Winter

Figure VII-8. 10-Site Average First-Year Seasonal Contributions 

Sea Salt, Geological, and Residual Oil Burning 

Geological shows a strong seasonal variation where the highest contribution (1.75 μg/m3) is 

observed in the winter, the strong winds season. The lowest contribution (0.90 μg/m3) is in 

the summer as shown in Figure 8. 

Residual oil burning also displays a strong seasonal variation as shown in Figure 8. The 

highest contributions are observed in the summer and fall (0.67 μg/m3

 and 0.65 μg/m3, respectively), and the lowest contribution (0.28 μg/m3

) in the winter. 

April 2005 to April 2006 (Second-Year) PM2.5 Source Apportionment 

The following PM2.5 source apportionment was conducted independently for the second year, 

using the same source profiles and fitting species.

With the Basin Gasoline Profile 

The annual-averaged source contribution estimates of major PM2.5 source categories (in 

μg/m3

) and their percentage of the total predicted mass are summarized in Table 3 and Figure 

9. 
MATES III Final Report

Appendix VII- 15

Table VII-3 

Second-Year PM2.5 Source Contribution Estimates - Basin Gasoline Profile 

 

WLB NLB CP LA BU SB RU AN 8-Site 

Average 

Ammonium 

Nitrate 

4.56 

(24.0) 

4.92 

(28.6) 

5.50 

(29.6) 

6.55 

(34.0) 

6.69 

(33.3) 

8.55 

(37.9) 

10.23 

(45.0) 

5.39 

(31.2) 

6.55 

(32.2) 

Ammonium 

Sulfate 

4.94 

(25.9) 

4.90 

(28.5) 

4.31 

(23.3) 

4.04 

(21.0) 

3.91 

(19.5) 

3.63 

(16.1) 

3.68 

(16.2) 

3.90 

(22.6) 

4.16 

(20.5) 

Biomass Burning 0.32 

(1.7) 

0.38 

(2.2) 

0.42 

(2.2) 

0.42 

(2.2) 

0.46 

(2.3) 

0.39 

(1.7) 

0.43 

(1.9) 

0.39 

(2.3) 

0.40 

(2.0) 

Cooking 1.21 

(6.4) 

0.98 

(5.7) 

1.63 

(8.8) 

1.24 

(6.4) 

1.47 

(7.3) 

1.45 

(6.4) 

1.34 

(5.9) 

1.43 

(8.3) 

1.34 

(6.6) 

Diesel-Exhaust 4.25 

(22.4) 

2.90 

(16.9) 

3.34 

(18.0) 

4.46 

(23.2) 

4.09 

(20.4) 

4.77 

(21.1) 

4.02 

(17.7) 

2.89 

(16.7) 

3.84 

(18.9) 

Gasoline-Exhaust 0.30 

(1.6) 

0.25 

(1.4) 

0.45 

(2.4) 

0.24 

(1.3) 

0.31 

(1.5) 

0.16 

(0.7) 

0.21 

(0.9) 

0.19 

(1.1) 

0.26 

(1.3) 

Sea Salt 1.50 

(7.9) 

1.46 

(8.5) 

1.43 

(7.7) 

1.11 

(5.8) 

1.01 

(5.0) 

1.07 

(4.7) 

1.09 

(4.8) 

1.30 

(7.5) 

1.25 

(6.1) 

Geological 0.62 

(3.2) 

0.68 

(3.9) 

0.97 

(5.2) 

0.82 

(4.3) 

1.86 

(9.2) 

2.21 

(9.8) 

0.62 

(2.7) 

1.28 

(7.4) 

1.13 

(5.6) 

Residual Oil 

Burning 

1.31 

(6.9) 

0.72 

(4.2) 

0.51 

(2.7) 

0.38 

(1.9) 

0.30 

(1.5) 

0.35 

(1.6) 

0.27 

(1.2) 

0.48 

(2.8) 

0.54 

(2.6) 

Limestone 

0.87 

(3.8) 

Predicted Mass 18.96 17.18 18.55 19.27 20.08 22.58 22.76 17.25 19.47 

Measured Mass 18.10 16.74 17.66 17.40 19.97 20.98 21.80 16.81 18.68 

Italic, bold values in ( ) are the percentages of predicted mass 

0.0

5.0

10.0

15.0

20.0

25.0

WLB NLB CP LA BU SB RU AN

Stations

Concentrations (μg/m

3

)

Limestone

Residual Oil Burning

Geological

Sea Salt

Gasoline Exhaust

Diesel Exhaust

Cooking

Biomass Burning

Ammonium Sulfate

Ammonium Nitrate

Figure VII-9. Second-Year PM2.5 Source Contribution Estimates - Basin Gasoline Profile 

Major source contributors are ammonium nitrate (4.56 – 10.23 μg/m3

, 24.0 – 45.0%), ammonium sulfate (3.63 – 4.94 μg/m3

, 16.1 – 28.5%), biomass burning (0.32 – 0.46 μg/m3, 1.7 – 
MATES III Final Report

Appendix VII- 16

2.3%), cooking (0.98 – 1.63μg/m3

, 5.7 – 8.8%), diesel-exhaust (2.89 – 4.77 μg/m3, 16.7 – 

21.1%), gasoline-vehicle exhaust (0.16 – 0.45 μg/m3, 0.7 – 2.4%), sea salt (1.01 – 1.5 μg/m3, 

5.0 – 7.9%), geological (0.62 - 2.21μg/m3

, 2.7 – 9.8%), residual oil burning (0.27 – 

1.31μg/m3, 1.2 – 6.9%), and limestone (0.87μg/m3, 3.8%) at the Rubidoux site. 

With the NFRAQS Gasoline Profile 

The annual-averaged source contribution estimates of major PM2.5 source categories (in 

μg/m3) and their percentage of the total predicted mass are summarized in Table 4 and Figure 

10. 

The CMB estimated PM2.5 mass contributions range from 17.74 to 23.16 μg/m3

 across the 

Basin. Major source contributors are ammonium nitrate (4.56 – 10.24 μg/m3, 22.9 – 44.2%), 

ammonium sulfate (3.65 – 4.94 μg/m3, 15.8 – 29.4%), biomass burning (0.32 – 0.46 μg/m3, 

1.6 – 2.2%), cooking operations (0.98 – 1.66 μg/m3, 5.5 – 8.5%), diesel-vehicle exhaust (2.6 

– 4.63 μg/m3

, 14.6 – 20.1%), gasoline-vehicle exhaust (0.73 – 1.75 μg/m3, 3.2 – 8.8%), sea 

salt (1.01 -1.53 μg/m3

, 4.8 – 7.7%), geological (0.64 – 2.23 μg/m3, 3.2 – 9.7%), residual oil 

burning (0.26 – 1.29 μg/m3, 1.1 – 6.5%), and limestone (0.85 μg/m3, 3.7%). 

Table VII-4 

Second-Year PM2.5 Source Contribution Estimates – NFRAQS Gasoline Profile 

 WLB NLB CP LA BU SB RU AN 8-Sites

Average 

Ammonium 

Nitrate 

4.56 

(22.9) 

4.92 

(27.5) 

5.50 

(28.2) 

6.55 

(33.3) 

6.69 

(32.0) 

8.55 

(37.1) 

10.24 

(44.2) 

5.39 

(30.4) 

6.55 

(31.2) 

Ammonium 

Sulfate 

4.94 

(29.4) 

4.92 

(27.5) 

4.35 

(22.3) 

4.06 

(20.6) 

3.94 

(18.8) 

3.65 

(15.8) 

3.72 

(16.0) 

3.92 

(22.1) 

4.19 

(20.0) 

Biomass 

Burning 

0.32 

(1.6) 

0.38 

(2.1) 

0.42 

(2.1) 

0.42 

(2.1) 

0.46 

(2.2) 

0.39 

(1.7) 

0.43 

(1.9) 

0.39 

(2.2) 

0.40 

(1.9) 

Cooking 1.21 

(6.1) 

0.98 

(5.5) 

1.66 

(8.5) 

1.26 

(6.4) 

1.49 

(7.1) 

1.47 

(6.4) 

1.33 

(5.8) 

1.44 

(8.1) 

1.36 

(6.5)

Diesel-Exhaust 3.64 

(18.3) 

2.60 

(14.6) 

3.09 

(15.9) 

4.19 

(21.3) 

3.86 

(18.5) 

4.63 

(20.1) 

3.49 

(15.1) 

2.65 

(15.0) 

3.52 

(16.8) 

GasolineExhaust 1.75 

(8.8) 

1.19 

(6.7) 

1.52 

(7.8) 

0.91 

(4.6) 

1.27 

(6.1) 

0.73 

(3.2) 

1.07 

(4.6) 

0.86 

(4.8) 

1.16 

(5.5) 

Sea Salt 1.53 

(7.7) 

1.45 

(8.1) 

1.43 

(7.3) 

1.14 

(5.8) 

1.01 

(4.8) 

1.07 

(4.6) 

1.10 

(4.7) 

1.30 

(7.3) 

1.25 

(6.0) 

Geological 0.64 

(3.2) 

0.71 

(4.0) 

1.01 

(5.2) 

0.80 

(4.1) 

1.89 

(9.0) 

2.23 

(9.7) 

0.68 

(2.9) 

1.30 

(7.3) 

1.16 

(5.5) 

Residual Oil 

Burning 

1.29 

(6.5) 

0.72 

(4.0) 

0.51 

(2.6) 

0.38 

(1.9) 

0.30 

(1.4) 

0.35 

(1.5) 

0.26 

(1.1) 

0.48 

(2.7) 

0.54 

(2.6) 

Limestone 

0.85 

(3.7) 

Predicted Mass 19.89 17.88 19.49 19.70 21.16 23.07 23.16 17.74 20.13 

Measured Mass 18.10 16.74 17.66 17.40 19.97 20.98 21.8 16.8 18.68 

 Italic, bold values in ( ) are the percentages of predicted mass 
MATES III Final Report

Appendix VII- 17

0.0

5.0

10.0

15.0

20.0

25.0

WLB NLB CP LA BU SB RU AN

Stations

Concentrations (μg/m

3

)

Limestone

Residual Oil Burning

Geological

Sea Salt

Gasoline Exhaust

Diesel Exhaust

Cooking

Biomass Burning

Ammonium Sulfate

Ammonium Nitrate

Figure VII-10. Second-Year PM2.5 Source Contribution Estimates – 

NFRAQS Gasoline Profile 

Basin and NFRAQS Gasoline Profiles Comparison 

Figure 11 compares the second-year contributions of major sources averaged among eight 

sites, using both Basin and NFRAQS gasoline profiles. Similar to the first-year source apportionment, applying the Basin gasoline profile to the second-year ambient data affects 

other sources only slightly, but greatly impacts gasoline exhaust contributions. Using the 

Basin gasoline profile also results in similar spatial contribution pattern as using the 

NFRAQS profile. 

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

Ammonium

Nitrate

Ammonium

Sulfate

Biomass

Burning

Cooking Diesel

Exhaust

Gasoline

Exhaust

Sea Salt Geological Residual Oil 

Burning

Limestone

Sources

Concentrations (μg/m

3

)

NFRAQS Gasoline Profile Basin Gasoline Profile

Figure 11. Second-Year 8-Site Average Sources Comparison 
MATES III Final Report

Appendix VII- 18

First and Second-Year Source Apportionment Comparisons 

With the Basin Gasoline Profile 

Figure 12 compares the major source contributions at all stations during the two years. 

PM2.5 mass slightly decreased in the second year. However, elemental carbon (EC) concentration increased in the second year, resulting in increased diesel-vehicle contributions. 

Higher EC concentrations coincide with increased diesel trucking activities during the second 

year. According to the ARB’s EMFAC data (2007), the vehicle-miles-traveled (VMT) for 

diesel vehicles in 2004 was 16,398,000, while in 2005 the VMT increased to 18,608,000 (a 

13% increase). 

Second-year source contributions are very similar to the first-year source contributions except diesel-vehicle contributions. As a result, the ratios of diesel to gasoline-vehicle contributions across the Basin vary from 7.4 in Compton to 30.7 in Inland Valley San Bernardino. 

The average diesel to gasoline ratio for all stations is 14.6, which is higher than the first-year 

ratio of 10.0, and significantly higher than the 2007 AQMP diesel-gasoline emissions ratio of 

1.90 and the ratio of 2.68 calculated from Fujita, et al.’s (2006) emission factors. 

The second-year spatial contribution pattern is similar to that of the first year.

0.0

5.0

10.0

15.0

20.0

25.0

WLB NLB CP HP PR LA BU SB RU AN 10-

Site

Stations Ave.

Concentrations (μg/m

3

)

Limestone

Residual Oil Burning

Geological

Sea Salt

Gasoline Exhaust

Diesel Exhaust

Cooking

Biomass Burning

Ammonium Sulfate

Ammonium Nitrate

Figure VII-12. First & Second-Year PM2.5 Source Contribution Comparison 

Basin Gasoline Profile 

With the NFRAQS Gasoline Profile 

Figure 13 compares the major source contributions at all stations during the two years. 
MATES III Final Report

Appendix VII- 19

0.0

5.0

10.0

15.0

20.0

25.0

30.0

WLB NLB CP HP PR LA BU SB RU AN 10-

Site

Stations Ave.

Concentrations (μg/m

3

)

Limestone

Residual Oil Burning

Geological

Sea Salt

Gasoline Exhaust

Diesel Exhaust

Cooking

Biomass Burning

Ammonium Sulfate

Ammonium Nitrate

 Figure VII-13. First & Second-Year PM2.5 Source Contribution Comparison NFRAQS 

Gasoline Profile 

PM2.5 mass also slightly decreased in the second year. Second-year source contributions are 

very similar to the first-year source contributions, except diesel-vehicle contributions. As a 

result, the ratios of diesel to gasoline-vehicle contributions across the Basin vary from 2.03 in 

Compton to 6.33 in Inland Valley San Bernardino, which is higher than the first-year ratio 

due to the higher second-year diesel contribution. The average diesel-gasoline ratio for all 

stations is 3.03, which is slightly higher than the 2007 AQMP diesel-gasoline emissions ratio 

of 1.90 and the ratio of 2.68 calculated from Fujita, et al.’s (2006) emission factors. 

The second-year spatial contribution pattern is also similar to that of the first year.

VII-3 Sensitivity Tests 

Sensitivity tests have been conducted not only for gasoline, but also for diesel exhaust, biomass 

burning, and cooking, using various profiles. In the sensitivity tests, major chemical species in 

various profiles were modified and/or different profile combinations were used to evaluate model 

performance. 

In the beginning, various NFRAQS diesel profiles were applied to determine model performance. However, the poor performance statistics (e.g., R2

, Chi2, etc.) obtained indicated that these 

diesel profiles were not appropriate for the model. Therefore, their applications were not continued, and the Basin diesel profile was selected. 

Cooking sensitivity tests were also conducted using various profiles developed by Desert Research Institute (DRI) for use in the Fresno Supersite. However, due to the poor model statistics 

obtained, their sensitivity applications were not continued. 
MATES III Final Report

Appendix VII- 20

A biomass burning profile that was developed by DRI for the Fresno Supersite was applied to the 

CMB analysis, along with the NFRAQS gasoline and other profiles used throughout this study, 

for comparison purposes. In general, contributions of all source categories are affected slightly 

by this profile, except for biomass burning. 

Figures 14, 15, and 16, respectively show that, using the DRI profile, biomass burning contributions for Los Angeles, West Long Beach, and Rubidoux are approximately two times greater 

than the current contributions using the Basin profile (Schauer, 1998). However, the CMB model performance statistics, that is, the chi-square values generated from using the DRI profile are 

roughly 1.5 times greater than that from using the Basin profile. The biomass burning contribution of 0.72 μg/m3 in Rubidoux using the DRI profile (vs. 0.38 μg/m3

 using the Basin profile) is 

similar to the 0.79 μg/m3 estimated by the PMF for data collected between 2001 and 2004 at 

U.S. EPA Speciation Trends Network monitoring site in Rubidoux (Kim and Hopke, 2007). 

However, the 4-month averaged biomass burning contribution of 0.84 μg/m3

 from November to 

February in Rubidoux using the DRI profile (vs. 0.36 μg/m3 using the Basin profile) is lower 

than ARB’s 1.8 – 2.2 μg/m3

 estimated by their 1995 CMB and 2005 PMF models, respectively 

(ARB, 2007). 

0.0

2.0

4.0

6.0

8.0

Ammonium

Nitrate

Ammonium

Sulfate

Biomass

Burning

Cooking Diesel

Exhaust

Gasoline

Exhaust

Sea Salt Geological Residual Oil

Burning

Sources

Concentations (ug/m3)

Schauer Profile DRI Profile

Figure VII-14. Los Angeles PM2.5 Source Contributions – Using Different Biomass 

Burning Profiles 
MATES III Final Report

Appendix VII- 21

0.0

2.0

4.0

6.0

8.0

Ammonium

Nitrate

Ammonium

Sulfate

Biomass

Burning

Cooking Diesel

Exhaust

Gasoline

Exhaust

Sea Salt Geological Residual Oil

Burning

Sources

Concentrations (μg/m

3

)

Schauer Profile DRI Profile

Figure VII-15. West Long Beach PM2.5 Source Contributions – Using Different Biomass 

Burning Profiles 

0.0

2.0

4.0

6.0

8.0

10.0

Ammonium

Nitrate

Ammonium

Sulfate

Biomass

Burning

Cooking Diesel

Exhaust

Gasoline

Exhaust

Sea Salt Geological Residual Oil

Burning

Limestone

Sources

Concentrations (μg/m

3

)

Schauer Profile DRI Profile

Figure VII-16. Rubidoux PM2.5 Source Contributions – Using Different Biomass Burning 

Profiles 

VII-4 Summary 

Diesel is greater in the second year due to the higher second-year diesel exhaust contribution, 

which is driven by the higher EC ambient concentrations. 

The use of different gasoline profiles slightly affects other source categories but has a large impact on gasoline contributions. 
MATES III Final Report

Appendix VII- 22

Gasoline exhaust contributions range from 0.60 μg/m3

 to 1.75 μg/m3 for the first year and 0.73 

μg/m3 to 1.75 μg/m3 for the second year, using the NFRAQS gasoline profile. The gasoline 

range varies from 0.16 μg/m3

 to 0.51μg/m3 for the first year and 0.16 μg/m3 to 0.45 μg/m3 for 

the second year, using the Basin gasoline profile. Based on the two-year site-averaged contributions, gasoline exhaust using the NFRAQS gasoline profile are approximately three to five times 

higher than those generated by the Basin profile. As a result, the average diesel-gasoline ratios 

range from 2.6 to 3.0 using the NFRAQS gasoline profile. These ratios become more significant 

(10.1 to 15.0) with the Basin gasoline profile, and are not supported by the 2007 AQMP dieselgasoline ratio of 1.9 and Fujita, et al.’s (2006) ratio of 2.68. For that reason, the NFRAQS gasoline profile is the preferred profile for this CMB model. 

 

The use of the DRI biomass burning profile also slightly affects other sources and results in biomass burning contributions that are approximately two times greater than the contributions using 

Schauer, et al.’s profile (1998). Based on the sensitivity tests, Schauer, et al.’s biomass burning 

profile is the preferred profile for the model. 
MATES III Final Report

Appendix VII- 23

VII-5 References 

Appel, B.R.; Wall, S.M.; Tokiwa, Y.; Haik, M.,1980. Simultaneous Nitric Acid, Particulate Nitrate and Acidity Measurements in Ambient Air, Atmos. Environ., 14, 549-554. 

AQMD, 1989. AQMP – Final Appendix V-G - PM10 Source Profile Library for the South Coast 

Air Basin, 1989 AQMP. 

Chow, J.C., J.G. Watson, D.H. Lowenthal, L.W.A. Chen, B. Zielinska, L.R. Mazzoleni, and K.L. 

Magliano, 2007. Evaluation of Organic Markers for Chemical Mass Balance Source Apportionment at the Fresno Supersite, Atmos. Chem. Phys., 7: 1741-1754. 

Chow, J.C., J.G. Watson, D.H. Lowenthal, and R.J. Countess, 1996. Sources and Chemistry of 

PM10 Aerosol in Santa Barbara County, CA, Atmos. Environ., 30(9): 1489-1499. 

Chow, J.C., J.G. Watson, L.L. Ashbaugh, and K.L. Magliano, 2003. Similarities and Differences 

in PM10 Chemical Sources Profiles for Geological Dust from the San Joaquin Valley, California, 

Atmos. Environ., 37(9-10): 1317-1340. 

Corbett, J.J. and P. Fischbeck, 1997. Emissions from Ships. Science, 278: 823-824. 

EPA, 2004. Protocol for Applying and Validating the CMB Model for PM2.5 and VOC. Report 

No. EPA-452/R-04-011. December 2004. Prepared by Watson, et al. for U.S. EPA, Research 

Triangle Park, NC. 

Fine, P.M., 2002. The Contribution of Biomass Combustion to Ambient Fine Particle Concentrations in the United States. Ph.D. Dissertation, California Institute of Technology, Pasadena, 

CA. 

Friedlander, S.K. 1973. Chemical Element Balances and Identification of Air Pollution Sources, 

Environm. Sci. Technol., 7(3): 235-240. 

Fujita, E.M., B. Zielinska, D.E. Campbell, W.P. Arnott, J.C. Sagebiel, L. Reinhart, J.C. Chow, 

P.A. Gabele, W. Crews, R. Snow, N.N. Clark, W.S. Wayne, and D.R. Lawson, 2006. Variations 

in Speciated Emissions from Spark-Ignition and Compression-Ignition Motor Vehicles in California’s South Coast Air Basin. Manuscript. 

Kim, B.M. and R.C. Henry, 1989. Analysis of Multicollinearity Indicators and Influential Species for Chemical Mass Balance Receptor Model. In Transactions, Receptor Models in Air Resources Management, J.G. Watson, Ed. J. Air & Waste Manage. Assoc., 379-390. 

Kim, B.M., S. Teffera, and M.D. Zeldin, 2000. Characterization of PM2.5 and PM10 in the South 

Coast Air Basin of Southern California: Part 1 – Spatial Variations, J. Air & Waste Manage. 

Assoc., 50: 2034 – 2044. 
MATES III Final Report

Appendix VII- 24

Lough, G.C., J.J. Schauer, D.R. Lawson, 2006. Day-of-week Trends in Carbonaceous Aerosol 

Compostion in the Urban Atmosphere, Atmospheric Environment, 40: 4137-4149. 

Lough, G.C., C.C. Chistensen, J.J. Schauer, J. Tortorelli, E. Bean, D.R. Lawson, N.N. Clark, 

P.A. Gabele. 2005. Development of Molecular Marker Source Profiles for Emissions from OnRoad Gasoline and Diesel Vehicle Fleets, J. Air & Waste Manage. Assoc., Submitted for Review. 

Mathis, U., M. Mohr, and A.M. Forss, 2005. Comprehensive Particle Characterization of Modern Gasoline and Diesel Passenger Cars at Low Ambient Temperatures, Atmos. Environ., 39(1): 

107-117. 

Miller, M.S., S.K. Friedlander, and G.M. Hidy, 1972. A Chemical Element Balance for the Pasadena Aerosol, J. Colloid Interface Sci., 39: 165-176. 

Russel, A.G.; McRae, G.J.; Cass, G.R., 1983. Mathematical Modeling of the Formation and 

Transport of Ammonium Nitrate Aerosol, Atmos. Environ., 17, 949-964. 

Schauer, J.J., 1998. Source Contributions to Atmospheric Organic Compound Concentrations: 

Emissions Measurements and Model Predictions. Ph.D. Dissertation, California Institute of 

Technology, Pasadena, CA. 

Stelson, A.W.; Seinfeld, J.H., 1982. Relative Humidity and Temperature Dependence of the 

Ammonium Nitrate Dissociation Constant; Atmos. Environ., 16, 983-992. 

Turpin, B.J., J.J. Huntzicker, and S.V. Hering, 1994. Investigation of Organic Aerosol Sampling 

Artifacts in the Los Angeles Basin, Atmos. Environ., 28(19): 3061-3071. 

Watson, J.G., 1979. Chemical Element Balance Receptor Model Methodology for Assessing the 

Sources of Fine and Total Suspended Particulate Matter in Portland, Oregon. Ph.D. Dissertation, 

Oregon Graduate Center, Beaverton, OR. 

Zielinska, B., J.D. McDonald, T. Hayes, J.C. Chow, E.M. Fujita, and J.G. Watson, 1998. Northern Front Range Air Quality Study. Volume B: Source Measurements. Prepared for Colorado 

State University, Fort Collins, CO. 
MATES III Final Report

Appendix VII- 25

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

MSGC 1 1 1 1 1 1 1 1 1 1 1 1 

MSGU 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 

OCTC 0 0 0.583351 0.591 0.830617 0.416033 0.587718 0.663695 0 0.06895 0.032 0 

OCTU 0 0 0.046528 0.03 0.060651 0.167461 0.215955 0.11833 0.001416 0.037295 0.005 0.0001 

ECTC 0 0 0.051909 0.032 0.003231 0.525526 0.285649 0.184472 0 0.009946 0.077 0 

ECTU 0 0 0.007901 0.002 0.002217 0.11106 0.138095 0.133081 0.001416 0.00952 0.015 0.0001 

NAXC 0 0 0.003045 0.001 0.000829 0 0 0.00003 0.370809 0.000789 0.026 0 

NAXU 0 0 0.000252 0.0001 0.001001 0.000007 0.00001 0.0011 0.042302 0.000351 0.006 0.0001 

N4CC 0.2255 0.273 0.004565 0.001 0 0.007921 0.030173 0 0 0.003233 0.035 0 

N4CU 0.02255 0.0273 0.003963 0.0001 0.0001 0.007969 0.031377 0.0001 0.001416 0.002305 0.016 0.0001 

CLIC 0 0 0.014719 0.002 0 0.001591 0.004769 0 0.332596 0.001027 0.00018 0 

CLIU 0 0 0.018146 0.0001 0.000704 0.002345 0.004318 0.01 0.037942 0.001839 0.00008 0.0001 

N3IC 0.775 0 0.006803 0.0044 0 0.000907 0.016545 0.001251 0.00416 0.000435 0 0.0055 

N3IU 0.0775 0 0.000567 0.0001 0.000772 0.002573 0.012115 0.000551 0.000475 0.001817 0.0001 0.00165 

S4IC 0 0.727 0.014179 0.0041 0 0.024065 0.067749 0.002467 0.092703 0.002787 0.4 0.0427 

S4IU 0 0.0727 0.006204 0.0001 0.000705 0.019995 0.069651 0.001449 0.010575 0.001881 0.03 0.01281 

MGXC 0 0 0 0 0 0 0 0.000642 0 0 0 0 

MGXU 0.0001 0.0001 0.0001 0.0001 0.000206 0.0001 0.0001 0.000484 0.0001 0.0001 0.0001 0.0001 

ALXC 0 0 0.000944 0 0 0.001152 0.001073 0.00013 0 0.100008 0.0042 0 

ALXU 0 0 0.000112 0.0001 0.000226 0.001151 0.000736 0.00025 0 0.030147 0.0008 0.0001 

SIXC 0 0 0.002912 0.00016 0 0.008072 0.047878 0.003048 0.000103 0.281663 0.019 0 

SIXU 0 0 0.00023 0.00005 0.000063 0.002447 0.041119 0.003189 1.13E-05 0.089603 0.006 0.0001 

PHXC 0 0 0 0.00007 0 0.001196 0.003479 0 1.42E-06 0.003877 0.015 0 

PHXU 0 0 0.000073 0.00002 0.0001 0.000372 0.005129 0.0001 0 0.003543 0.004 0.0001 

SUXC 0 0.2427 0.00424 0.00148 0 0.009962 0.02667 0 0.030901 0.003516 0.11 0.024 

SUXU 0 0.02427 0.000331 0.00004 0.0001 0.008032 0.024785 0.0001 0.003524 0.0021 0.02 0.004 

CLXC 0 0 0.013544 0.00127 0 0.000515 0.002491 0 0.332596 0.001006 0 0

CLXU 0 0 0.015612 0.00006 0.0001 0.000285 0.002978 0.0001 0.037942 0.001422 0.0001 0.0001 

KPXC 0 0 0.029511 0.00647 0 0.000735 0.000579 0.000021 0.013734 0.028206 0.0016 0.024 

KPXU 0 0 0.006782 0.00007 0.000067 0.000611 0.000474 0.000114 0.001566 0.005488 0.0005 0.004 

CAXC 0 0 0.001873 0.00008 0 0.004728 0.007865 0.001443 0.014146 0.03485 0.034 0.161 

CAXU 0 0 0.000225 0.00011 0.000088 0.001892 0.014028 0.000554 0.001614 0.011771 0.009 0.03 

SCXC 0 0 0 0 0 0 0 0 0 0 0 0 

SCXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

TIXC 0 0 0.000129 0 0 0.000103 0.00003 0.000007 0 0.004553 0.0005 0.0055 

TIXU 0 0 0.000197 0.00017 0.0006 0.000613 0.000569 0.000501 0 0.001348 0.0005 0.00165 

VAXC 0 0 0 0 0 0 0 0.000004 0 0 0.011 0 

VAXU 0.0001 0.0001 0.0001 0.00007 0.000244 0.0001 0.0001 0.000234 0.0001 0.0001 0.003 0.0001 

CRXC 0 0 0 0 0 0 0 0.000011 0 0 0.00022 0 

CRXU 0.0001 0.0001 0.0001 0.00002 0.00006 0.0001 0.0001 0.000079 0.0001 0.0001 0.00001 0.0001 
MATES III Final Report

Appendix VII- 26

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

MNXC 0 0 0.000067 0 0 0.000009 0.000042 0.000008 0 0.000759 0.00035 0

MNXU 0 0 0.000007 0.00001 0.000045 0.000044 0.000042 0.000062 0 0.000054 0.00004 0.0001 

FEXC 0 0 0.001402 0 0 0.004409 0.004226 0.000642 0 0.052254 0.015 0 

FEXU 0 0 0.000114 0.00001 0.000017 0.002751 0.003424 0.000289 0 0.010428 0.002 0.0001 

COXC 0 0 0 0 0 0 0 0 0 0 0.00075 0 

COXU 0.0001 0.0001 0.0001 0.00001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.00014 0.0001 

NIXC 0 0 0 0 0 0 0 0.000004 0 0 0.015 0 

NIXU 0.0001 0.0001 0.0001 0.00001 0.000031 0.0001 0.0001 0.000039 0.0001 0.0001 0.005 0.0001 

CUXC 0 0 0.000067 0.00005 0 0.000105 0.000519 0.000191 0 0.000168 0.00098 0 

CUXU 0 0 0.000006 0.00001 0.000017 0.000044 0.000537 0.000122 0 0.000119 0.00032 0.0001 

ZNXC 0 0 0.001368 0.00005 0 0.002531 0.004335 0.001965 0 0.000965 0.012 0 

ZNXU 0 0 0.000135 0.00001 0.000026 0.000585 0.004056 0.000988 0 0.000467 0.003 0.0001 

GAXC 0 0 0 0 0 0 0 0 0 0 0 0 

GAXU 0.0001 0.0001 0.0001 0.00002 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

GEXC 0 0 0 0 0 0 0 0 0 0 0 0 

GEXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

ASXC 0 0 0.000007 0 0 0.000003 0.000001 0 0 0.000016 0.000031 0 

ASXU 0 0 0.000017 0.00002 0.0001 0.000052 0.000052 0.0001 0 0.000027 0.000007 0.0001 

SEXC 0 0 0.000001 0 0 0.000015 0.000002 0 0 0.000002 0.000022 0 

SEXU 0 0 0.000007 0.00001 0.0001 0.000028 0.000027 0.0001 0 0.00001 0.000005 0.0001 

RBXC 0 0 0.000046 0 0 0.000005 0.000005 0 0 0.000139 0 0 

RBXU 0 0 0.000005 0.00001 0.0001 0.000026 0.000022 0.0001 0 0.000046 0.0001 0.0001 

SRXC 0 0 0.000025 0 0 0.000019 0.000009 0 0.000272 0.000305 0.00016 0

SRXU 0 0 0.000004 0.00001 0.0001 0.000026 0.000023 0.0001 3.12E-05 0.000016 0.00005 0.0001 

YTXC 0 0 0 0 0 0 0 0 0 0 0 0 

YTXU 0.0001 0.0001 0.0001 0.00001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

NBXC 0 0 0 0 0 0 0 0 0 0 0 0 

NBXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

MOXC 0 0 0 0 0 0 0 0 0 0 0.00087 0 

MOXU 0.0001 0.0001 0.0001 0.00002 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.00018 0.0001 

PDXC 0 0 0 0 0 0 0 0 0 0 0 0 

PDXU 0.0001 0.0001 0.0001 0.00006 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

AGXC 0 0 0 0 0 0 0 0 0 0 0 0 

AGXU 0.0001 0.0001 0.0001 0.00007 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

CDXC 0 0 0 0 0 0 0 0 0 0 0 0 

CDXU 0.0001 0.0001 0.0001 0.00007 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

INXC 0 0 0 0 0 0 0 0 0 0 0 0 

INXU 0.0001 0.0001 0.0001 0.00008 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

SNXC 0 0 0 0.00001 0 0 0 0 0 0 0.00034 0 

SNXU 0.0001 0.0001 0.0001 0.00011 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.00022 0.0001 
MATES III Final Report

Appendix VII- 27

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

SBXC 0 0 0 0 0 0 0 0 0 0 0.00035 0 

SBXU 0.0001 0.0001 0.0001 0.00013 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.00038 0.0001 

CSXC 0 0 0 0 0 0 0 0 0 0 0 0 

CSXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

BAXC 0 0 0 0 0 0 0 0 0 0 0.00186 0 

BAXU 0.0001 0.0001 0.0001 0.00048 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.00009 0.0001 

LAXC 0 0 0 0 0 0 0 0 0 0 0.00012 0 

LAXU 0.0001 0.0001 0.0001 0.00065 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.00002 0.0001 

PTXC 0 0 0 0 0 0 0 0 0 0 0 0 

PTXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

AUXC 0 0 0 0 0 0 0 0 0 0 0 0 

AUXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

PBXC 0 0 0.000039 0 0 0.000058 0.000257 0.000141 0 0.000109 0.018 0 

PBXU 0 0 0.000009 0.00003 0.000084 0.00008 0.000241 0.000097 0 0.000074 0.006 0.0001 

BIXC 0 0 0 0 0 0 0 0 0 0 0 0 

BIXU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

PYREN 0 0 0 0.000241 0.000304 0 0 0.001046 0 0 0 0 

PYRENU 0.0001 0.0001 0.0001 0.0001 0.000111 0.0001 0.0001 0.000337 0.0001 0.0001 0.0001 0.0001 

RETEN 0 0 0.000272 0.00022 4.22E-06 0.000001 0.000042 0 0 0 0 0 

RETENU 0 0 0.000039 0.0001 3.71E-06 0.000006 0.000132 1.05E-05 0 0 0.0001 0.0001 

BGHIF 0 0 0 8.22E-05 0 0 0 0 0 0 0 0 

BGHIFU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

BAANT 0 0 0 0 5.73E-05 0 0 0.000131 0 0 0 0 

BAANTU 0.0001 0.0001 0.0001 0.0001 4.50E-05 0.0001 0.0001 5.34E-05 0.0001 0.0001 0.0001 0.0001 

CHRYS 0 0 0 0 4.89E-05 0 0 0.000137 0 0 0 0 

CHRYSU 0.0001 0.0001 0.0001 0.0001 1.20E-05 0.0001 0.0001 5.14E-05 0.0001 0.0001 0.0001 0.0001 

BBJKF 0 0 0 0 4.02E-05 0 0 0.000167 0 0 0 0 

BBJKFU 0.0001 0.0001 0.0001 0.0001 8.57E-06 0.0001 0.0001 9.49E-05 0.0001 0.0001 0.0001 0.0001 

BEPYR 0 0 0 4.53E-05 9.99E-06 0 0 0.000125 0 0 0 0 

BEPYRU 0.0001 0.0001 0.0001 0.0001 3.83E-06 0.0001 0.0001 8.41E-05 0.0001 0.0001 0.0001 0.0001 

BAPYR 0 0 0 4.80E-05 1.67E-05 0 0 0.000178 0 0 0 0 

BAPYRU 0.0001 0.0001 0.0001 0.0001 8.84E-06 0.0001 0.0001 0.000109 0.0001 0.0001 0.0001 0.0001 

INDPY 0 0 0.000028 0 9.93E-06 0 0.00034 0.000102 0 0 0 0 

INDPYU 0 0 0.000004 0.0001 7.21E-06 0.000009 0.000278 5.92E-05 0 0 0.0001 0.0001 

DBANT 0 0 0 0 1.49E-06 0 0 9.43E-06 0 0 0 0 

DBANTU 0.0001 0.0001 0.0001 0.0001 1.04E-05 0.0001 0.0001 2.93E-05 0.0001 0.0001 0.0001 0.0001 

PIC 0 0 0 0 0 0 0 0 0 0 0 0 

PICU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

BGHIP 0 0 0.000029 0 1.45E-05 0 0.000941 0.000115 0 0 0 0 

BGHIPU 0 0 0.000008 0.0001 9.42E-06 0.000011 0.000827 0.000196 0 0 0.0001 0.0001 
MATES III Final Report

Appendix VII- 28

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

CORON 0 0 0.000011 0 8.57E-06 0 0.000836 0.000133 0 0 0 0 

CORONU 0 0 0.000003 0.0001 1.87E-05 0.000003 0.00092 0.000121 0 0 0.0001 0.0001 

STR42 0 0 0 0 0 0 0 0 0 0 0 0 

STR42U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR43 0 0 0 0 2.75E-05 0 0 9.33E-05 0 0 0 0 

STR43U 0.0001 0.0001 0.0001 0.0001 2.75E-05 0.0001 0.0001 9.33E-05 0.0001 0.0001 0.0001 0.0001 

STR44 0 0 0 0 3.32E-05 0 0 2.93E-05 0 0 0 0 

STR44U 0.0001 0.0001 0.0001 0.0001 2.29E-05 0.0001 0.0001 9.92E-06 0.0001 0.0001 0.0001 0.0001 

ST454 0 0 0 0 0 0 0 0 0 0 0 0 

ST454U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR46 0 0 0 0 0 0 0 0 0 0 0 0 

STR46U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR47 0 0 0 0 0 0 0 0 0 0 0 0 

STR47U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR48 0 0 0 0 0 0 0.000031 0.000117 0 0 0 0 

STR48U 0 0 0.000001 0.0001 0.0001 0.000006 0.000037 4.24E-05 0 0 0.0001 0.0001 

STR49 0 0 0 0 0 0.000007 0.000431 0 0 0 0 0 

STR49U 0 0 0.000001 0.0001 0.0001 0.000018 0.000978 0.0001 0 0 0.0001 0.0001 

STR50 0 0 0 0 0 0 0 0 0 0 0 0 

STR50U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR51 0 0 0 0 0 0 0 0 0 0 0 0 

STR51U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR52 0 0 0 0 1.04E-05 0 0 0 0 0 0 0 

STR52U 0.0001 0.0001 0.0001 0.0001 7.64E-06 0.0001 0.0001 7.53E-06 0.0001 0.0001 0.0001 0.0001 

HOP13 0 0 0 0 0 0 0 0 0 0 0 0 

HOP13U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

STR53 0 0 0 0 0.000457 0 0 0 0 0 0 0 

STR53U 0.0001 0.0001 0.0001 0.0001 0.000585 0.0001 0.0001 7.53E-06 0.0001 0.0001 0.0001 0.0001 

HOP15 0 0 0 0 2.09E-05 0 0 2.44E-05 0 0 0 0 

HOP15U 0.0001 0.0001 0.0001 0.0001 2.74E-05 0.0001 0.0001 1.78E-05 0.0001 0.0001 0.0001 0.0001 

HOP17 0 0 0.000001 0 0 0.000079 0.000146 0.00014 0 0 0 0 

HOP17U 0 0 0.000002 0.0001 0.0001 0.00005 0.000262 0.000107 0 0 0.0001 0.0001 

HOP19 0 0 0.000006 0 1.34E-05 0.000042 0.000446 9.12E-05 0 0 0 0 

HOP19U 0 0 0.000002 0.0001 1.18E-05 0.000031 0.000791 6.25E-05 0 0 0.0001 0.0001 

HOP20 0 0 0 0 0 0 0 9.95E-06 0 0 0 0 

HOP20U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 1.22E-05 0.0001 0.0001 0.0001 0.0001 

HOP21 0 0 0 0 0 0 0 4.50E-05 0 0 0 0 

HOP21U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 3.00E-05 0.0001 0.0001 0.0001 0.0001 

HOP22 0 0 0 0 0 0 0 3.33E-05 0 0 0 0 

HOP22U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 2.20E-05 0.0001 0.0001 0.0001 0.0001 
MATES III Final Report

Appendix VII- 29

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

HOP23 0 0 0 0 0 0 0 2.52E-05 0 0 0 0 

HOP23U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 1.75E-05 0.0001 0.0001 0.0001 0.0001 

HOP24 0 0 0.000005 0 0 0 0.000026 1.95E-05 0 0 0 0 

HOP24U 0 0 0.000003 0.0001 0.002665 0.000006 0.000054 1.02E-05 0 0 0.0001 0.0001 

HOP25 0 0 0 0 0 0 0 0 0 0 0 0 

HOP25U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

HOP26 0 0 0.000001 0 0 0 0.000025 0 0 0 0 0 

HOP26U 0 0 0.000002 0.0001 0.0001 0.000006 0.000052 0.0001 0 0 0.0001 0.0001 

HOP27 0 0 0 0 0 0 0 0 0 0 0 0 

HOP27U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

GUAI 0 0 0.003721 2.92E-05 0 0 0 0 0 0 0 0 

GUAIU 0 0 0.000309 0.0001 0.0001 0 0 0.0001 0 0 0.0001 0.0001 

SUCAC 0 0 0 0 0 0 0 0 0 0 0 0 

SUCACU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

SYRI 0 0 0 0.00039 0.000164 0 0 8.84E-06 0 0 0 0 

SYRIU 0.0001 0.0001 0.0001 0.0001 0.000179 0.0001 0.0001 1.53E-05 0.0001 0.0001 0.0001 0.0001 

GUAC 0 0 0 0 0 0 0 0 0 0 0 0 

GUACU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

HEXDA 0 0 0 0 0 0 0 0 0 0 0 0 

HEXDAU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

CPINA 0 0 0 0 0 0 0 0 0 0 0 0 

CPINAU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

FGUA4 0 0 0 0 0.000221 0 0 5.66E-07 0 0 0 0 

FGUA4U 0.0001 0.0001 0.0001 0.0001 3.69E-05 0.0001 0.0001 7.53E-06 0.0001 0.0001 0.0001 0.0001 

PHTHA 0 0 0.000141 0 0 0.001251 0.001026 0 0 0 0 0 

PHTHAU 0 0 0.00001 0.0001 0.0001 0.001168 0.002018 0.0001 0 0 0.0001 0.0001 

LEVG 0 0 0.022778 0.138431 0 0 0 0 0 0 0 0 

LEVGU 0 0 0.005924 0.0001 0.0001 0.000117 0.00012 0.0001 0 0 0.0001 0.0001 

SYRAL 0 0 0.004631 0.004961 9.73E-05 0 0 7.16E-05 0 0 0 0 

SYRALU 0 0 0.000307 0.0001 7.82E-05 0 0 0.000117 0 0 0.0001 0.0001 

ISPHA 0 0 0 0 0 0 0 0 0 0 0 0 

ISPHAU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

AZEAC 0 0 0 0 0 0 0 0 0 0 0 0 

AZEACU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

PALOL 0 0 0.000069 0 0 0.000176 0.000082 0 0 0 0 0 

PALOLU 0 0 0.000005 0.0001 0.0001 0.000146 0.000117 0.0001 0 0 0.0001 0.0001 

PALAC 0 0 0.000562 0.003314 0 0 0 0 0 0 0 0 

PALACU 0 0 0.000041 0 0.0001 0.001011 0.000486 0.0001 0 0 0.0001 0.0001

OLAC 0 0 0.000652 0.002294 0 0 0 0 0 0 0 0 

OLACU 0 0 0.000051 0 0.0001 0.000283 0.000152 0.0001 0 0 0.0001 0.0001
MATES III Final Report

Appendix VII- 30

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

STEAC 0 0 0.000174 0.000543 0 0 0 0 0 0 0 0 

STEACU 0 0 0.000013 0 0.0001 0.00024 0.000173 0.0001 0 0 0.0001 0.0001 

ISOPI 0 0 0 0.000696 0 0 0 0 0 0 0 0 

ISOPIU 0.0001 0.0001 0.0001 0 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

DHABA 0 0 0 0.000406 0 0 0 0 0 0 0 0 

DHABAU 0.0001 0.0001 0.0001 0 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

ABAC 0 0 0 0.000235 0 0 0 0 0 0 0 0 

ABACU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

OXDH7 0 0 0 0 0 0 0 0 0 0 0 0 

OXDH7U 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

CHOL 0 0 0 0 0.001331 0 0 0 0 0 0 0 

CHOLU 0 0 0 0.0001 0.000576 0.000013 0.000011 7.53E-06 0 0 0.0001 0.0001 

PHYTA 0 0 0.000015 0 0 0.000654 0.000139 0 0 0 0 0 

PHYTAU 0 0 0.000005 0.0001 0.0001 0.00044 0.004463 0.0001 0 0 0.0001 0.0001 

DOCOS 0 0 0 0 0 0 0 0 0 0 0 0 

DOCOSU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

DC6YH 0 0 0 0 0 0 0 0 0 0 0 0 

DC6YHU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

TRICO 0 0 0 0 0 0 0 0 0 0 0 0 

TRICOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

DC7YH 0 0 0 0 0 0 0 0 0 0 0 0 

DC7YHU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

DC8YH 0 0 0 0 0 0 0 0 0 0 0 0 

DC8YHU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

TETCO 0 0 0 0 0 0 0 0 0 0 0 0 

TETCOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

PENCO 0 0 0 0 0 0 0 0 0 0 0 0 

PENCOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

DC9YH 0 0 0 0 0 0 0 0 0 0 0 0 

DC9YHU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

HEXCO 0 0 0 6.47E-05 0 0 0 0 0 0 0 0 

HEXCOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

CYHXE 0 0 0 0 0 0 0 0 0 0 0 0 

CYHXEU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

HEPCO 0 0 0 3.98E-05 0 0 0 0 0 0 0 0 

HEPCOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

CYHHE 0 0 0 0 0 0 0 0 0 0 0 0 

CYHHEU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

OCTCO 0 0 0 1.33E-05 0 0 0 0 0 0 0 0 

OCTCOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 
MATES III Final Report

Appendix VII- 31

Source Profiles Used for CMB Model

PNO S21 S19 S14 RESWDBUR DR1353 S08 S07 DR1387 S17 S01 S53 Portland 

SID AMNIT AMSUL BURN SCHWDBUR CHCHICK DIES GAS GASO Mar-50 PVRD ResiOil3 CementKiln

SIZE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE FINE 

REF 

NONCO 0 0 0 4.53E-05 0 0 0 0 0 0 0 0 

NONCOU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

HTRIC 0 0 0 0 0 0 0 0 0 0 0 0 

HTRICU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

TTRIC 0 0 0 0 0 0 0 0 0 0 0 0 

TTRICU 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 

PNO: Profile name 

SID: Source. 
MATES III Final Report

Appendix VII- 32

Source Profile Species Codes 

Code Description 

ABAC abietic acid 

ABACU abietic acid uncertainty 

AGXC Silver concentration 

AGXU Silver concentration uncertainty 

ALXC Aluminum concentration 

ALXU Aluminum concentration uncertainty 

ASXC Arsenic concentration 

ASXU Arsenic concentration uncertainty 

AUXC Gold concentration 

AUXU Gold concentration uncertainty 

AZEAC azelaic acid (d-c9) 

AZEACU azelaic acid (d-c9) uncertainty 

BAANT Benz(a)anthracene 

BAANTU Benz(a)anthracene uncertainty 

BAPYR Benzo(a)Pyrene 

BAPYRU Benzo(a)Pyrene uncertainty 

BAXC Barium concentration 

BAXU Barium concentration uncertainty 

BBJKF Benzo(b+j+k)fluoranthene 

BBJKFU Benzo(b+j+k)fluoranthene uncertainty 

BEPYR Benzo(e)Pyrene 

BEPYRU Benzo(e)Pyrene uncertainty 

BGHIF Benzo(ghi)fluoranthene 

BGHIFU Benzo(ghi)fluoranthene concentration uncertainty 

BGHIP Benzo(ghi)perylene 

BGHIPU Benzo(ghi)perylene uncertainty 

BIXC Bismuth 

BIXU Bismuth concentration uncertainty 

CAXC Calcium concentration 

CAXU Calcium concentration uncertainty 

CDXC Cadmium concentration 

CDXU Cadmium concentration uncertainty 

CHOL cholesterol 

CHOLU cholesterol uncertainty 

CHRYS Chrysene 

CHRYSU Chrysene uncertainty 

CLIC Chloride concentration 

CLIU Chloride concentration uncertainty 

CLXC Chlorine concentration 

CLXU Chlorine concentration uncertainty 

CORON Coronene 

CORONU Coronene uncertainty 

COXC Cobalt concentration 

COXU Cobalt concentration uncertainty 

CPINA cis-pinonic acid 

CPINAU cis-pinonic acid concentration uncertainty 
MATES III Final Report

Appendix VII- 33

Source Profile Species Codes 

Code Description 

CRXC Chromium concentration 

CRXU Chromium concentration uncertainty 

CSXC Cesium 

CUXC Copper concentration 

CUXU Copper concentration uncertainty 

CYHHE Heneicosylcyclohexane 

CYHHEU Heneicosylcyclohexane concentration uncertainty 

CYHXE Eicosylcyclohexane 

CYHXEU Eicosylcyclohexane concentration uncertainty

DBANT Dibenzo(ah+ac)anthracene 

DBANTU Dibenzo(ah+ac)anthracene uncertainty 

DC6YH Hexadecylcyclohexane 

DC6YHU Hexadecylcyclohexane uncertainty 

DC7YH Heptadecylcyclohexane 

DC7YHU Heptadecylcyclohexane uncertainty 

DC8YH Octadecylcyclohexane 

DC8YHU Octadecylcyclohexane uncertainty 

DC9YH Nonadecylcyclohexane 

DC9YHU Nonadecylcyclohexane uncertainty 

DHABA dehydroabietic acid 

DHABAU dehydroabietic acid uncertainty 

DOCOS Docosane 

DOCOSU Docosane uncertainty 

ECTC Elemental Carbon concentration 

ECTU Elemental Carbon concentration uncertainty 

FEXC Iron concentration 

FEXU Iron concentration uncertainty 

FGUA4 4-formyl-guaiacol (vanillin) 

FGUA4U 4-formyl-guaiacol (vanillin) concentration uncertainty 

GAXC Gallium concentration 

GAXU Gallium concentration uncertainty 

GEXC Germanium 

GUAC glutaric acid (d-c5) 

GUACU glutaric acid (d-c5) concentration uncertainty 

GUAI guaiacol 

GUAIU guaiacol uncertainty 

HEPCO Heptacosane 

HEPCOU Heptacosane concentration uncertainty 

HEXCO Hexacosane 

HEXCOU Hexacosane concentration uncertainty 

HEXDA hexanedioic (adipic) acid (d-c6) 

HEXDAU hexanedioic (adipic) acid (d-c6) uncertainty

HOP13 18a(H),21ß(H)-22,29,30-Trisnorhopane 

HOP13U 18a(H),21ß(H)-22,29,30-Trisnorhopane uncertainty 

HOP15 17a(H),21ß(H)-22,29,30-Trisnorhopane 

HOP15U 17a(H),21ß(H)-22,29,30-Trisnorhopane uncertainty 
MATES III Final Report

Appendix VII- 34

Source Profile Species Codes 

Code Description 

HOP17 17a(H),21ß(H)-30-Norhopane 

HOP17U 17a(H),21ß(H)-30-Norhopane uncertainty 

HOP19 17a(H),21ß(H)-Hopane 

HOP19U 17a(H),21ß(H)-Hopane uncertainty 

HOP20 17ß(H),21a(H)-hopane 

HOP20U 17ß(H),21a(H)-hopane uncertainty 

HOP21 22S-17a(H),21ß(H)-30-Homohopane 

HOP21U 22S-17a(H),21ß(H)-30-Homohopane uncertainty 

HOP22 22R-17a(H),21ß(H)-30-Homohopane 

HOP22U 22R-17a(H),21ß(H)-30-Homohopane uncertainty 

HOP23 17ß(H),21ß(H)-Hopane 

HOP23U 17ß(H),21ß(H)-Hopane uncertainty 

HOP24 22S-17a(H),21ß(H)-30,31-Bishomohopane 

HOP24U 22S-17a(H),21ß(H)-30,31-Bishomohopane uncertainty 

HOP25 22R-17a(H),21ß(H)-30,31-Bishomohopane 

HOP25U 22R-17a(H),21ß(H)-30,31-Bishomohopane uncertainty 

HOP26 22S-17a(H),21ß(H)-30,31,32-Trisomohopane 

HOP26U 22S-17a(H),21ß(H)-30,31,32-Trisomohopane uncertainty 

HOP27 22R-17a(H),21ß(H)-30,31,32-Trishomohopane 

HOP27U 22R-17a(H),21ß(H)-30,31,32-Trishomohopane uncertainty 

HTRIC Hentriacontane 

HTRICU Hentriacontane concentration uncertainty 

INDPY Indeno[123-cd]pyrene 

INDPYU Indeno[123-cd]pyrene uncertainty 

INXC Indium concentration 

INXU Indium concentration uncertainty 

ISOPI isopimaric acid 

ISOPIU isopimaric acid concentration uncertainty 

ISPHA isophthalic acid 

ISPHAU isophthalic acid concentration uncertainty 

KPXC Potassium concentration 

KPXU Potassium concentration uncertainty 

LAXC Lanthanum concentration 

LAXU Lanthanum concentration uncertainty 

LEVG levoglucosan 

LEVGU levoglucosan uncertainty 

MGXC Magnesium concentration (qualitative only) 

MGXU Magnesium concentration uncertainty 

MNXC Manganese concentration 

MNXU Manganese concentration uncertainty 

MOXC Molybdenum concentration 

MOXU Molybdenum concentration uncertainty 

MSGC Mass concentration 

MSGU Mass concentration uncertainty 

N3IC Nitrate concentration 

N3IU Nitrate concentration uncertainty 
MATES III Final Report

Appendix VII- 35

Source Profile Species Codes 

Code Description 

N4CC Ammonium concentration 

N4CU Ammonium concentration uncertainty 

NAXC Sodium concentration (qualitative only) 

NAXU Sodium concentration uncertainty 

NBXC Niobium 

NIXC Nickel concentration 

NIXU Nickel concentration uncertainty 

NONCO Nonacosane 

NONCOU Nonacosane concentration uncertainty 

OCTC Organic Carbon concentration 

OCTCO Octacosane 

OCTCOU Octacosane concentration uncertainty 

OCTU Organic Carbon concentration uncertainty 

OLAC oleic acid 

OLACU oleic acid uncertainty 

OXDH7 7-oxodehydroabietic acid 

OXDH7U 7-oxodehydroabietic acid concentration uncertainty 

PALAC palmitic acid (c16) 

PALACU palmitic acid (c16) uncertainty 

PALOL palmitoleic acid 

PALOLU palmitoleic acid concentration uncertainty 

PBXC Lead concentration 

PBXU Lead concentration uncertainty 

PDXC Palladium concentration 

PDXU Palladium concentration uncertainty 

PENCO Pentacosane 

PENCOU Pentacosane concentration uncertainty 

PHTHA phthalic acid 

PHTHAU phthalic acid uncertainty 

PHXC Phosphorous concentration 

PHXU Phosphorous concentration uncertainty 

PHYTA Phytane 

PHYTAU Phytane uncertainty 

PIC picolinic acid 

PICU picolinic acid uncertainty 

PTXC Platinum 

PYREN Pyrene 

PYRENU Pyrene uncertainty 

RBXC Rubidium concentration 

RBXU Rubidium concentration uncertainty 

RETEN Retene 

RETENU Retene uncertainty 

S4IC Sulfate concentration 

S4IU Sulfate concentration uncertainty 

SBXC Antimony concentration 

SBXU Antimony concentration uncertainty 
MATES III Final Report

Appendix VII- 36

Source Profile Species Codes 

Code Description 

SCXC Scandium 

SEXC Selenium concentration 

SEXU Selenium concentration uncertainty 

SIXC Silicon concentration 

SIXU Silicon concentration uncertainty 

SNXC Tin concentration 

SNXU Tin concentration uncertainty 

SRXC Strontium concentration 

SRXU Strontium concentration uncertainty 

ST454 C27-20R5a(H),14a(H),17a(H)-cholestane&C29-20S13ß(H),17a(H)-diasterane 

ST454U C27-20R5a(H),14a(H),17a(H)-cholestane&C29-20S13ß(H),17a(H)-diasterane uncertainty 

STEAC stearic acid (c18) 

STEACU stearic acid (c18) uncertainty 

STR42 C27-20S5a(H),14a(H)-cholestane 

STR42U C27-20S5a(H),14a(H)-cholestane uncertainty 

STR43 C27-20R5a(H),14ß(H)-cholestane 

STR43U C27-20R5a(H),14ß(H)-cholestane uncertainty 

STR44 C27-20S5a(H),14ß(H),17ß(H)-cholestane 

STR44U C27-20S5a(H),14ß(H),17ß(H)-cholestane uncertainty 

STR46 C28-20S5a(H),14a(H),17a(H)-ergostane 

STR46U C28-20S5a(H),14a(H),17a(H)-ergostane uncertainty 

STR47 C28-20R5a(H),14ß(H),17ß(H)-ergostane 

STR47U C28-20R5a(H),14ß(H),17ß(H)-ergostane uncertainty 

STR48 C28-20S5a(H),14ß(H),17ß(H)-ergostane 

STR48U C28-20S5a(H),14ß(H),17ß(H)-ergostane uncertainty 

STR49 C28-20R5a(H),14a(H),17a(H)-ergostane 

STR49U C28-20R5a(H),14a(H),17a(H)-ergostane uncertainty 

STR50 C29-20S5a(H),14a(H),17a(H)-stigmastane 

STR50U C29-20S5a(H),14a(H),17a(H)-stigmastane uncertainty 

STR51 C29-20R5a(H),14ß(H),17ß(H)-stigmastane 

STR51U C29-20R5a(H),14ß(H),17ß(H)-stigmastane uncertainty 

STR52 C29-20S5a(H),14ß(H),17ß(H)-stigmastane 

STR52U C29-20S5a(H),14ß(H),17ß(H)-stigmastane uncertainty 

STR53 C29-20R5a(H),14a(H),17a(H)-stigmastane 

STR53U C29-20R5a(H),14a(H),17a(H)-stigmastane uncertainty 

SUCAC succinic acid (d-c4) 

SUCACU succinic acid (d-c4) uncertainty 

SUXC Sulfur concentration 

SUXU Sulfur concentration uncertainty 

SYRAL syringaldehyde 

SYRALU syringaldehyde concentration uncertainty 

SYRI syringol 

SYRIU syringol uncertainty 

TETCO Tetracosane 

TETCOU Tetracosane concentration uncertainty 

TIXC Titanium concentration 
MATES III Final Report

Appendix VII- 37

Source Profile Species Codes 

Code Description 

TIXU Titanium concentration uncertainty 

TRICO Tricosane 

TRICOU Tricosane uncertainty 

TTRIC Tritriacontane 

TTRICU Tritriacontane concentration uncertainty 

VAXC Vanadium concentration 

VAXU Vanadium concentration uncertainty 

YTXC Yttrium concentration 

YTXU Yttrium concentration uncertainty 

ZNXC Zinc concentration 

ZNXU Zinc concentration uncertainty