ABSTRACT
The California Air Resources Board has for the past six years maintained a routine, canister-based ambient toxics monitoring network in urban areas of California. The ambient record is now extensive enough to evaluate the trend of toxic pollutants within the State. This paper evaluates the trend in benzene at seventeen different sites in major population centers in California between 1990 and 1995. Even when considering measurement variability, a significant downward trend in ambient benzene concentrations has been observed throughout the State with an average reduction of 49 percent during the study period. The paper also presents emissions inventory trends of benzene for the same period whose reduction can be attributed to the vehicle emission controls and clean fuel programs.
INTRODUCTION
The California Air Resources Board (ARB) is required under the Toxic Air Contaminant Identification and Control Act (AB 1807-1983, amended AB 2728-1993) to identify and control toxic air contaminants. In 1985, the ARB established a twenty station toxics monitoring network within major urban areas to provide data to determine the average annual concentrations of toxic air contaminants as input to the identification process, and to assess the effectiveness of controls.1 This paper presents an evaluation of the ambient trend for benzene in California using monitoring data obtained from that network.
Benzene has been identified as a human carcinogen and has been one of 19 gases measured by the ARB since the start of the toxics monitoring program. The ambient data have supported subsequent identification and control strategies for benzene. In California, the dominant source of benzene is motor vehicles, with emissions occurring from exhaust and evaporation processes. The trend analysis of the ambient benzene data has been performed for a six year study period (1990 through 1995) to gauge the aggregate success of the various control programs implemented during that time. The results of the ambient analysis are compared to inventory estimates to corroborate the benefits of recently enacted control efforts. Issues of variability and accuracy are also addressed to support the results.
MONITORING AND ANALYSIS
The Monitoring and Laboratory Division (MLD) is responsible for the field collection and laboratory analysis of the ambient samples for toxic air contaminants. Twenty monitoring sites were established at major population centers throughout the state for this purpose. Samples were collected over a 24-hour period every 12 days. Ambient air was drawn through a dedicated station probe with a low-volume gaseous sampler (Xontech Model 910A) into a whole air container. Samples prior to 1990 were collected in Tedlar bags. Since then, the collection has been with six-liter SUMMA® polished stainless steel canisters. An extensive study indicated that treated canisters performed better than did Tedlar bags for retention of some volatile organic compounds. 2,3
Samples were analyzed at the MLD Laboratory in Sacramento using state-of-the-art gas chromatography methods. The analysis method for benzene involves pre-concentration of an aliquot sample, then separation and detection by photoionization. The chromatogram peaks are identified by their characteristic retention times and quantified by reference to external standards. The analysis procedure and equipment used in the analysis of benzene were updated twice during the study period. A cross-check of each new system indicated that results for benzene had shifted during the study period of 1990 through 1995. This difference has been incorporated into the following analyzes.
QUALITY ASSURANCE
Accuracy
The laboratory gas chromatographic instruments used in the ambient toxics monitoring program
are calibrated daily with standards containing the target compounds at concentrations that approximate the upper
ambient concentration range. The calibration standards are produced and certified by the National Institute of
Standards and Technology (NIST).4 The mass flow controllers used during field
sampling are certified by the MLD every six months using a NIST traceable flow standard.
Precision (collocated sampling)
The system variability (or total precision of data) of the ambient toxics program is measured
by the variation derived from collocated samplers situated at three network stations. The collocated samples were
treated similar to the primary samples with respect to sampling, transportation, and analysis procedures. The three
collocated stations were located at Bakersfield in the San Joaquin Valley, Concord in the San Francisco Bay Area,
and Rubidoux in the South Coast.
The system variability for each compound is defined as plus or minus two times the relative
standard deviation as shown in Equation 1, where Equation 2 is used to estimate the standard deviation (s).5 The system variability value represents the range in which there is a 95 percent probability
that the true average value will reside.
| Equation (1) | System Variability = + 2 * [( s / average concentration) * 100], |
| Equation (2) | s = [ |
DATA COMPLETENESS AND TREATMENT
During the study period, 17 of the 20 network sites remained in continuous operation. Samples were collected on a 1-in-12 day sampling schedule. This schedule resulted in approximately 7 to 8 samples per quarter for each site. An evaluation of the data completeness showed 96 percent of the quarterly averages contained 6 to 10 samples with no obvious site or seasonal bias noted. Therefore, the benzene database was considered complete and representative of urban California.
In the original database, samples below the Limit of Detection (LOD) for benzene (0.5 ppb) were reported as “less than the LOD.” For this study, all values reported as “less than LOD” were reassigned a value of 0.2, or approximately one-half the LOD. Benzene samples obtained between January 1993 and December 1995 were increased to be consistent with the results of a change in the analytical method (y= 0.86x - 0.23). 6
RESULTS
Ambient Benzene Concentration
The study period for this analysis is from January 1, 1990, to December 31, 1995. It includes
only samples collected using stainless steel canisters. Quarterly averages were calculated using data from the
1-in-12 day sampling schedule. Annual ambient benzene averages were derived from the complete quarterly averages
and are summarized in Table 1. The data show a downward trend exceeding the method variability
of 21 percent in statewide benzene concentration for the six year study period.
Linear regression analysis was used to evaluate the estimated reduction. The linear regression
line is expressed below as Equation 3.
| Equation (3) | y = mx + b, where m is the slope of the line, and b is the y-intercept |
Summer and Winter
Trends
Summer and Winter Trends
Given the distinct seasonal nature of benzene levels, a separate analysis to evaluate the trends
as a function of the season was performed on the same data from the 17 monitoring stations. For this, the summer
season was defined as July through September and the winter from December through February. The graphical representation
of the differences in the overall trend by season at the Fresno site (Figure 2) shows a greater rate of reduction
during the winter seasons when compared to the summer. The reduction in benzene during a five year period at Fresno
was 63 percent during the winter periods, and 26 percent during the summer periods. The pattern of greater reductions
occurring during the winter was repeated in varying degrees at 13 of the 17 sites, with sites in Southern California
tending to report comparable seasonal reduction rates. The percent values for the rates of summer and winter period
decline are summarized for all sites in Table 2. Further study would be required to better understand the causes
of the observed difference between summer and winter rates of reduction.
Emissions Inventory
Inventory estimates of benzene can be used to corroborate the directional trend of ambient benzene.
On-road mobile sources are estimated to have contributed two-thirds of the benzene emissions over the study period,
with other mobile, area, and point sources contributing the remainer.7 Total benzene
emissions have steadily declined from 1990 to 1995, mostly as a result of reductions from on-road mobile sources.
7 Two major categories of emission controls affecting the on-road mobile inventory estimates were the ARB’s low
emissions vehicle program 8 (beginning with the 1994 model year), and the State
and Federal programs to reduce emissions of volatile organic compounds (VOCs) and/or benzene from fuels.

Figures 3 and 4 illustrate statewide ambient benzene concentrations and the estimated
benzene emissions from on-road sources over the study period, respectively. 9,10 A
comparison of the two figures shows the same directional trends. In Figure 4, specific State and Federal fuel regulatory
programs that affect the benzene content of fuel are shown on the time-line.11 Although
early fuel regulatory controls focused on reducing VOCs to reduce ambient ozone levels, they had a secondary effect
of limiting benzene emissions. Current fuel regulations have specifically targeted benzene in addition to VOCs.
The programs contributing to the reduction of ARB’s benzene inventory estimate include:
CONCLUSIONS
Based on the review of ambient benzene data for the study period, we conclude that:
ACKNOWLEDGMENTS
The monitoring and analysis of the toxics program is sponsored by the Monitoring Laboratory Division of ARB under the general direction of William V. Loscutoff, Chief. The monitoring stations are operated and maintained by Bill Oslund and his staff of the Air Quality Surveillance Branch. Michael Poore with George Lew and their laboratory staff analyzed the canister samples during the study period. Quality Management and Operations Support for the Program is provided by Jeff Cook and his staff. Jeff Cook and Dale Secord reviewed and provided comments for this paper. In addition, the author wishes to express appreciation to Dennis Goodenow and Chris Nguyen of the Technical Support Division (TSD) for providing emissions inventory estimates along with Michael Redgrave of TSD for the toxics database.
REFERENCES
|
Air Basin |
Sites |
1990 |
1991 |
1992 |
1993 |
1994 |
1995 |
|
|---|---|---|---|---|---|---|---|---|
|
San Francisco Bay |
Concord |
1.9 |
1.8 |
1.5 |
1.2 |
1.1 |
1.1 |
|
|
Fremont |
2.1 |
1.8 |
1.3 |
1.4 |
1.3 |
1.3 |
||
|
Richmond |
2.3 |
2.1 |
1.6 |
1.8 |
1.7 |
1.5 |
||
|
San Francisco |
1.9 |
1.7 |
1.3 |
1.4 |
1.1 |
1.0 |
||
|
San Jose |
3.4 |
2.7 |
2.2 |
2.2 |
2.1 |
1.7 |
||
|
San Joaquin Valley |
Bakersfield-1 |
3.0 |
2.4 |
1.7 |
1.6 |
C |
- |
|
|
Bakersfield-2 |
- |
- |
- |
- |
O |
1.2 |
||
|
Fresno |
2.4 |
2.7 |
1.5 |
1.5 |
1.5 |
1.4 |
||
|
Modesto |
2.4 |
2.1 |
1.3 |
1.4 |
1.1 |
1.3 |
||
|
Stockton |
2.1 |
2.1 |
1.5 |
1.3 |
1.2 |
1.1 |
||
|
Sacramento Valley |
Chico-1 |
2.0 |
2.0 |
C |
- |
- |
- |
|
|
Chico-2 |
- |
- |
O |
1.1 |
1.2 |
0.9 |
||
|
Citrus Heights |
2.2 |
2.0 |
1.6 |
C |
- |
- |
||
|
Roseville |
- |
- |
- |
O |
1.0 |
0.8 |
||
|
South Coast |
Burbank |
5.4 |
4.4 |
3.8 |
2.8 |
3.6 |
2.6 |
|
|
Long Beach |
3.9 |
2.6 |
2.8 |
2.0 |
2.1 |
1.7 |
||
|
Los Angeles |
3.9 |
3.5 |
3.2 |
2.5 |
2.7 |
2.3 |
||
|
Rubidoux |
2.7 |
2.3 |
2.0 |
1.8 |
2.0 |
1.5 |
||
|
Upland |
2.8 |
2.8 |
2.2 |
2.0 |
2.2 |
1.7 |
||
|
South Central Coast |
Santa Barbara |
3.0 |
2.1 |
1.5 |
1.2 |
1.4 |
0.9 |
|
|
Simi Valley |
2.2 |
1.6 |
1.3 |
0.9 |
1.1 |
0.8 |
||
|
San Diego |
Chula Vista |
2.2 |
1.2 |
1.1 |
0.8 |
1.1 |
0.8 |
|
|
El Cajon |
2.8 |
2.3 |
2.1 |
1.5 |
1.8 |
1.1 |
||
|
Average |
2.7 |
2.3 |
1.9 |
1.6 |
1.6 |
1.3 |
||
|
Air Basin |
Site |
Percent Reduction: |
Ratio of Percent Reduction |
||
|---|---|---|---|---|---|
|
All Quarters |
Winter |
Summer |
Winter/Summer |
||
|
San Francisco Bay |
Concord |
55 |
64 |
25 |
2.5 |
|
Fremont |
39 |
60 |
-4 |
- |
|
|
Richmond |
35 |
47 |
-4 |
- |
|
|
San Francisco |
49 |
45 |
31 |
1.5 |
|
|
San Jose |
44 |
58 |
-7 |
- |
|
|
San Joaquin Valley |
Fresno |
68 |
63 |
26 |
2.4 |
|
Modesto |
59 |
68 |
21 |
3.2 |
|
|
Stockton |
56 |
58 |
24 |
2.4 |
|
|
South Coast |
Burbank |
49 |
51 |
14 |
3.7 |
|
Los Angeles |
38 |
30 |
20 |
1.5 |
|
|
Long Beach |
48 |
39 |
42 |
0.9 |
|
|
Rubidoux |
35 |
26 |
31 |
0.8 |
|
|
Upland |
37 |
30 |
25 |
1.2 |
|
|
South Central Coast |
Santa Barbara |
68 |
71 |
61 |
1.2 |
|
Simi Valley |
53 |
51 |
48 |
1.1 |
|
|
San Diego |
Chula Vista |
51 |
46 |
58 |
0.8 |
|
El Cajon |
54 |
54 |
38 |
1.4 |
|
|
Average |
49 |
51 |
26 |
- |
|