United States
Environmental Protection
Agencv
Environmental Monitoring and Support
Laboratory
Research Triangle Park NC 27711
EPA-600/4-78-059
October 7978
Research and Development
xvEPA
Air Quality
Data for Metals
1975 from the
National Air
Surveillance
Networks
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RESEARCH REPORTING SERIES
Research reports of the Office of Research and Development, U.S. Environmental
Protection Agency, have been grouped into nine series. These nine broad cate-
gories were established to facilitate further development and application of en-
vironmental technology. Elimination of traditional grouping was consciously
planned to foster technology transfer and a maximum interface in related fields.
The nine series are:
1. Environmental Health Effects Research
2. Environmental Protection Technology
3. Ecological Research
4. Environmental Monitoring
5. Socioeconomic Environmental Studies
6. Scientific and Technical Assessment Reports (STAR)
7. Interagency Energy-Environment Research and Development
8. "Special" Reports
9. Miscellaneous Reports
This report has been assigned to the ECOLOGICAL RESEARCH series. This series
describes research on the effects of pollution on humans, plant and animal spe-
cies, and materials. Problems are assessed for their long- and short-term influ-
ences. Investigations include formation, transport, and pathway studies to deter-
mine the fate of pollutants and their effects. This work provides the technical basis
for setting standards to minimize undesirable changes in living organisms in the
aquatic, terrestrial, and atmospheric environments.
This document is available to the public through the National Technical Informa-
tion Service, Springfield, Virginia 22161.
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AIR QUALITY DATA FOR METALS
1975
FROM THE
NATIONAL AIR SURVEILLANCE NETWORKS
by
Raymond C. Rhodes and Donald H. Fair
Statistical and Technical Analysis Branch
J.E. Frazer, S.J. Long, W.A. Loseke, V.A. Wheeler and J.F. Walling
Analytical Chemistry Branch
ENVIRONMENTAL MONITORING AND SUPPORT LABORATORY
OFFICE OF RESEARCH AND DEVELOPMENT
U.S. ENVIRONMENTAL PROTECTION AGENCY
RESEARCH TRIANGLE PARK, NORTH CAROLINA 27711
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DISCLAIMER
This report has been reviewed by the Environmental Monitoring and
Support Laboratory, U.S. Environmental Protection Agency and approved for
publication. Mention of trade names or commercial products does not
constitute endorsement or recommendation for use.
11
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PREFACE
The Environmental Monitoring and Support Laboratory of the Environmental
Research Center/Research Triangle Park (formerly the Quality Assurance and
Environmental Monitoring Laboratory), with the assistance and cooperation of
state and local agencies, conducts a variety of air sampling activities to
obtain information about the air quality in the United States. Data on
concentrations of metallic ions in particulate matter are listed in this
report.
It is planned that this report will be updated on an annual basis. Any
changes in the introductory material (site descriptions, data table presen-
tations, laboratory methodology, etc.) made by EPA will be included in
future reports.
111
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ABSTRACT
Particulate pollutant data gathered during calendar year 1975 by the
cooperating stations of the National Air Surveillance Networks (NASN) provide
the basis for listing the urban and nonurban concentrations of 11 metallic
ions in suspended particulate matter.
The data are presented as a composite concentration value for each site
for each of the four quarters of the calendar year; a yearly average is
reported whenever valid data for all four quarters are obtained.
Three previous EPA publications, APTD-0978, APTD-1467 and EPA
600/4-76-041, list the concentrations of these metals in suspended particu-
late matter collected during 1966 and 1967, 1968 and 1969, and 1970 through
1974, respectively. In this report overall national summaries are compared
for the years 1970 through 1975.
IV
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CONTENTS
Preface iii
Abstract iv
Tables . vi
Figure vii
Acknowledgments „ viii
Section 1. Introduction 1
Organizational Structure 1
Sample Collection 3
Data Handling and Analysis 3
Section 2. Quality Control 7
Introduction 7
Precision and Bias 10
Performance Quality Assessment . . . 10
Section 3. Laboratory Methods 13
Sampling Procedures 13
Methods of Metals Analysis 14
Section 4. National Summary of Air Quality Measurements 15
Urban 16
Nonurban 20
Section 5. Data Tables 23
Appendices
A. Confidence Limits of Measured Values 102
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TABLES
Number
1-1 NASN Network Modifications ................ 2
1-2 EPA Regions and Locations of Regional Offices ...... 4
2-1 Blank Filter and Analytical Limit of Discrimination ... 9
2-2 Analytical Precision, Bias and Confidence Limits ..... 11
4-1 Urban National Cumulative Frequency Distributions .... 16
4-2 Nonurban National Cumulative Frequency Distributions ... 20
5-1 Quarterly Composites and Yearly Averages
Beryllium
Urban ..................... 25
Nonurban ............ . ....... 30
Cadmium
Urban ............. . ....... 32
Nonurban ...... ..... .......... 37
Chromium
Urban ..................... 39
Nonurban .................... 44
Cobalt
Urban .................. ... 45
Nonurban ............ ........ 51
Copper
Urban ..................... 53
Nonurban ............. ....... 53
Iron
..................... 60
Nonurban .................... 55
Lead
Urban .......... ..... - ...... 67
Nonurban .................... 72
Manganese
Urban ..................... 74
Nonurban .................... 79
VI
-------
Nickel
Urban 81
Nonurban 86
Titanium
Urban 88
Nonurban 93
Vanadium
Urban 95
Nonurban 100
FIGURE
Number Page
1-1 EPA Regions and Regional Offices 5
vn
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ACKNOWLEDGMENTS
The data reported in this publication could not have been gathered
without the generous cooperation of the many state and local air pollution
control agencies in the operation of the NASN stations. Also, gratitude is
due each of the 10 EPA Regions who since 1973 have participated in this
program by sending the high volume filters to the centralized laboratory of
the Environmental Monitoring and Support Laboratory.
A large portion of the effort devoted to the extraction of filters and
the routine operation of the spectrometer was contributed by Louis J. Pranger
of the Analytical Chemistry Branch. His efforts are gratefully acknowledged.
The detailed computer tabulations of Table 5-1 were obtained by contract
personnel of the Northrop Services, Incorporated.
The authors would like to thank all those who contributed their time
and effort to this document.
Vlll
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SECTION 1
INTRODUCTION
ORGANIZATIONAL STRUCTURE
The Environmental Protection Agency (EPA), with the assistance and
cooperation of state and local agencies, conducts a variety of air sampling
activities to obtain information about the air quality in the United States.
One such program, the National Air Surveillance Networks (NASN), has existed
for over 20 years. The network has grown and undergone many modifications
since its beginning, especially during the last 5 years. Table 1-1 cata-
logues these recent changes.
The first change, in sampling schedule, was brought about to encourage
synoptic sampling with state/local ambient monitoring programs. In addition
to assisting in the operation of the EPA sampling network, state and local
air pollution control agencies administer their own air pollution control
programs.
The second change, decentralization, was made to shift air monitoring
responsibility from one centralized laboratory to 10 EPA regional laboratories.
This modification was implemented over the 14 month period from December 1972
through January 1974. Moreover, in January 1974, the responsibilities of the
10 EPA Regional Offices were extended further to the overall management of the
NASN sites. Additional responsibilities of the Regional Offices include
weighing the filters and determining the concentrations of total suspended
particulates (TSP). Table 1-2 and Figure 1-1 indicate the locations of the
Regional Offices and the geographic areas of responsibility.
The EPA regional laboratories send the filters to the Environmental
Monitoring and Support Laboratory (EMSL) for routine trace constituent1
analyses. The filters are then stored in the Filter Bank for future non-
routine, special analyses as required.
Petals, nonmetallic inorganic ions and benzo(a)pyrene (BaP).
1
-------
TABLE 1-1. NASN NETWORK MODIFICATIONS
Month/Year
Change
Impact4
January 1972
December 1972
April 1973
December 1973
January 1974
Sample schedule changed from
random biweekly to 12-day
systematic samples, first
sample collected 1/10/72.
Decentralization, Region II
Decentralization, Region I
Decentrali zati on, Regions V,
VII, VIII, IX, X
Decentralization, Regions III,
IV, VI
All sites
NJ, NY, PR
CT, ME, MA, NH, RI, VT
IL, IN, MS, MN, OH, WI,
IA, KS, MO, NE, CO, MT,
ND, SD, UT, WY, AZ, CA,
HI, NV, AK, ID, OR, WA
DE, DC, MD, PA, VA, WV,
AL, FL, GA, KY, MS, NC,
SC, TN, AR, LA, NM, OK,
TX
*Abbreviations coincide with standard U.S. mail code designations for states.
-------
Although pollutant monitoring was decentralized, the analysis and
publication of the trace pollutant data remains the responsibility of one
laboratory, the Environmental Monitoring and Support Laboratory (EMSL),
Research Triangle Park, North Carolina. Prior to January 1974, filters also
were weighed and analyzed for TSP by EMSL; however, since this date, the
EPA regional laboratories have been performing these tasks. It should be
noted that the weighing of the filters, before and after sample collection,
are used for determination of TSP and are not used in the determination for
metals. The particulates containing metals are assumed to be collected
uniformly across the filter area.
SAMPLE COLLECTION
Air particulate samples were collected in 1975 at nearly 300 urban and
35 nonurban NASN sites located across the country. The urban sites are
generally located within a city or town or adjacent suburbs. The nonurban
sites were originally located in rural or remote areas, although with the
passage of time, many of these rural areas, especially in the northeast,
have become more heavily populated and thus are subject to increasing
influences of spreading urbanization. Voluntary operation of each site is
maintained through the generous assistance of local or state agencies and
individuals such as park rangers, firemen, or policemen.
Prior to 1972, 24-hour samples (beginning at midnight) were collected
according to a biweekly (26 samples per year) modified random sampling
schedule. The schedule was modified to ensure equal representation for each
of the seven days of the week. Since January 10, 1972, the initial sampling
date, samples have been collected every 12th day (30 or 31 samples per year).
This sampling schedule eliminates the need for redesignating a new sampling
schedule each year. In addition, it is easily implemented in the field*
DATA HANDLING AND ANALYSIS
Beginning with the 1974 samples, the responsibility for managing the
NASN was given to each of the 10 EPA Regions (Table 1-2). Prior to that
time one centralized laboratory located at Research Triangle Park, North
Carolina, weighed and analyzed the high volume filters. The 10 EPA Regions
send the TSP values to the National Aerometric Data Bank (NADB). The results
-------
TABLE 1-2. EPA REGIONS AND LOCATIONS OF REGIONAL OFFICES
Region
Regional Office Location
I
II
III
IV
V
VI
VII
VIII
IX
X
Boston, Massachusetts
New York, New York
Philadelphia, Pennsylvania
Atlanta, Georgia
Chicago, Illinois
Dallas, Texas
Kansas City, Missouri
Denver, Colorado
San Francisco, California
Seattle, Washington
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Figure 1-1. EPA Regions and Regional Offices
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of chemical analyses are published by EMSL and are sent to the NADB for
archiving.
The metallic ior>_ data reported herein were analysed by EMSL to determine
which data to exclude from data summaries because of anomalies. The precision
and bias of the data were determined using statistical analyses. The overall
accuracy of the sampling data was evaluated to assist in the interpretation
of the air quality summaries.
The air quality summaries include annual concentration data classified
as urban and nonurban origin and compiled for the nation as a whole
(Tables 4-1 and 4-2). The data for individual site locations are presented
as quarterly values, and as annual averages where three or four quarterly
values are available (Table 5-1).
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SECTION 2
QUALITY CONTROL
INTRODUCTION
Beginning with the previous publication for samples of 1970 through
1974, estimates of analytical performance were given with each data table.
This practice is continued for this report for 1975 samples. This section
presents the quality control information and the procedures for determining
these analytical performance limits.
BLANK FILTERS, INSTRUMENT DETECTION LIMITS
AND ANALYTICAL DISCRIMINATION LIMITS
For previous years (1970-1974), analyses of blank filters were made by
pooling the extracts from a large number of clean (or unexposed) filters,
obtaining a single composite extract, and analyzing the extract periodically
throughout the analysis period. Consequently, no estimate of homogeneity
of the lot of filters was utilized in the processing of sample data.
For 1975, 27 composite samples' of filters were obtained. Each composite
arbitrarily contained material from five filters. A total of 17.5 square
inches of filter material, or (17. 5)-=-5=3.50 square inches per filter, was
used for each composite determination on each of these 27 extracts.
The average of the 27 determinations was statistically tested against
zero using an estimated measure of instrument noise at zero concentration.
If the average was not significantly different from zero, the average was
considered as below the instrument detection limits (BD), and was so
indicated for beryllium, cadmium, cobalt, lead, and vanadium in Table 2-1.
The average values for the remaining elements, which were significantly
different from zero, are listed in Table 2-1 as the blank filter concentra-
tions for routine sample analyses. All of the analyses of the blank filters
were made prior to the analyses of the 1975 samples, instead of during the
analysis period for routine samples. These average blank values were
-------
subtracted from each sample result to obtain the amount of the element
contained only in the particulate.
The analytical limits of discrimination (LD) for 1975 were obtained by
multiplying the standard deviation of the 27 composite blank determinations
by the factor 3.3.1 For previous years (1970-1974), when only ten (10)
blank analyses were made for each element, the use of the 3.3 factor provided
95%-95% tolerance limits.2 For 1970-1974, therefore, the analytical limits
of discrimination given in Table 2-1 represented the level below which 97.5%
of all such blank determinations would fall with a confidence of 95%.
However, for 1975, when 27 blank analyses were made, the use of the 3.3
factor provides 95%-98% tolerance limits.3 Thus the analytical limits of
discrimination given in Table 2-1 represents the level below which 99% of all
such blank determinations would fall with a confidence of 95%.
It should be noted that except for beryllium and titanium, the analyti-
cal limits of discrimination for 1975 are appreciably higher than for pre-
vious years. The 1975 values are considered more realistic because the
analyses of the blank filters for 1975 introduced for the first time (1)
similar filter-to-filter differences and (2) similar variations from
extraction-to-extraction, as exist for the analysis of exposed quarterly
composite samples. Neither of these sources of variability was included in
the determination of limits of discrimination for previous years.
Experimental Statistics, Handbook 91, NBS, page T-ll.
2The 95%-95% tolerance limits include a two-tailed interval within
which 95% of all individual values should fall with a confidence
of 95%,
3The 95%-98% tolerance limits include a two-tailed interval within
which 98% of all individual values should fall with a confidence
of 95%.
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TABLE 2-1. BLANK FILTER AND ANALYTICAL LIMIT OF DISCRIMINATION
Og/m3)*
Element
Beryllium
Cadmium
Chromium
Cobalt
Copper
Iron
Lead
Manganese
Nickel
Titanium
Vanadium
1975
Blank Filter
Concentration
BD***
BD
.0015
BD
.0024
.0956
BD
.0029
.0007
.0017
BD
Analytical Limit of Discrimination (LD)**
1970
.00005
.00023
.00071
.00069
.0011
.0082
.022
.00040
.0014
.0039
.0021
1971
.00005
.00023
.00071
.00069
.0011
.0082
.022
.00040
.0014
.0039
.0021
1972
.00004
.00019
.00062
.00052
.0012
.0059
.015
.00024
.0012
.0032
.0017
1973
.00007
.00027
.00080
.00076
.0010
.010
.029
.00055
.0017
.0045
.0025
1974
.00008
.00036
.00084
.00063
.0012
.010
.014
.00064
.0019
.0061
.0028
1975
.00006
.0064
.0027
.0039
.0057
.0450
.1177
.0025
.0091
.0036
.0099
*yg/m3 are obtained by multiplying yg/ml by a factor (37.89) to
convert to total yg/filter and dividing by an assumed air volume
of 2500 m3.
**LD is below the analytical limit of discrimination.
***BD is below the detection limits of the analytical instrumentation
and is therefore considered as zero.
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PRECISION AND BIAS
Table 2-2 presents precision and bias information together with 95%
confidence limits for individual reported values. All the data are expressed
as percentages because precision and bias are usually concentration dependent.
Precision has been determined from the standard deviation of percent
differences between analyses of duplicate composites.1 Duplicate composites
are treated in the same way with the identity of each being unknown to the
analyst. Thus, the variability resulting from cutting and extracting, as
well as analysis, is included in the precision estimate. An insufficient
number of duplicate results above the LD were obtained for the 1975 samples
for beryllium, cadmium, cobalt and vanadium. The precision values from the
previous report for samples from the years 1970 through 1974 are presented
in Table 2-2 for these metallic ions.
Bias is estimated through the use of spiked samples in which known
amounts of the metallic ions are added to one of a pair of duplicate composite
samples. In this way, the percentage recovery of the known addition can be
determined. Although no spiked samples were analyzed during the analysis
period for 1975 samples, as they had been for previous years, the results of
spiked samples from previous years are considered to be reasonable measures
of bias for 1975 as well. The analysis of spiked samples involves the
extraction process as well as the analytical process. The percentage loss
values, i.e., 100 minus percent recovery, from the previous report are
presented in Table 2-2, and used as a basis for the determination of
confidence limits.
PERFORMANCE QUALITY ASSESSMENT
Precision and bias estimates discussed above have been combined to form
what is termed "Analytical Quality." The "95% confidence limit" expressions
for "Analytical Quality," which appear in Table 2-2 and which are shown on
each data table, consist of the correction term for bias (actually 100 minus
percent recovery) and a plus or minus term for precision (actually 1.96 times
lrrhe standard deviation of the relative percent differences was divided by
/T~ to obtain the estimate of precision for an individual reported value.
10
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TABLE 2-2. ANALYTICAL PRECISION, BIAS AND CONFIDENCE LIMITS
Precision Bias
Replicate Extractions % Loss = (100 - % 95% Confidence
Elements No. of Dup. ^ Rec.),%a Limits, %
Be
Cd
Co
Cr
Cu
Fe
Mn
Ni
Pb
Ti
V
NAC (20)
NA (41)
NA (20)
22
25
25
25
16
22
25
NA (16)
NA (31)
NA (23)
NA (29)
26
15
17
11
26
13
27
NA (20)
16
9
14
21
28
25
29
21
14
42
21
16
9
14
21
28
25
29
21
14
42
21
± 62
± 46
± 58
± 52
± 30
± 34
± 22
± 52
± 26
± 54
± 40
From analyses of spiked samples for years 1970-1974.
C - Coefficient of variation.
CNA - Not available, insufficient number of replicate tests with values
above LD for 1975 samples. 1970-1974 values are shown in parentheses.
11
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the coefficient of variation for individual reported values). These confi-
dence intervals are applied to a given datum point (minimum, maximum or
percentile) in the following way.
The approximate upper and lower confidence limits* (LU and L^, respec-
tively) are calculated as follows:
LU = X(l + B/100 + 1.96 Cv/100) (la)
L4 = X(l + B/100 - 1.96 Cy/100) (lb)
where X = the individual analysis value (a quarterly composite value)
B = bias, percent (percent loss)
C = coefficient of variation of individual analysis
For example, the first cadmium value above LD in Table 5-1 is 0.0078 yg/m3
and the confidence limits are indicated as 9% ± 46%. The resulting
confidence limits are:
L = 0.0078(1 + 9/100 + 46/100) = 0.0121 ug/m3 (2a)
L£ = 0.0078(1 + 9/100 - 46/100) = 0.0049 ng/m3 (2b)
The quarterly composite value is expected to be analytically correct within
the above limits.
It is emphasized that the estimates determined by the above formulas
consider only variability from sample preparation (i.e., cutting, extraction)
and analysis. Further, it is assumed that the bias is constant, and that
the inherent variability due to sample preparation and analysis remains
unchanged. Furthermore, if additional information were known concerning
variation due to factors such as the flow rate or other variables of sampling,
then these confidence intervals would be wider. As a result, all confidence
limits are under-estimates of the total variability of the total measurement
process, which includes sampling, sample handling, and analysis.
more exact equation is presented in Appendix A.
12
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SECTION 3
LABORATORY METHODS
SAMPLING PROCEDURES
The mass of particulate matter per volume of air is determined by
drawing air through a preweighed glass-fiber filter with a high volume
(hi-vol) air sampler and then weighing the soiled filter. In order to
obtain the flow rate, a calibrated rotameter is read at the start and
finish of the sampling period, and the averaged value is used with a cali-
bration table for that rotameter. The known sampling period (24 hours) and
the measured flow rate allow for calculation of the volume of air sampled.
The hi-vol samplers, operating at approximately 1.7 cubic meters per
minute, collect particulate matter from about 2500 cubic meters of air
during the 24-hour sampling period. The filters used are 20.3 by 25.4
centimeter flash-fired glass-fiber filters, selected for low and uniform
background concentrations of those substances to be measured.
As a precaution against pinholes or other flaws that could affect air
flow, the filters are screened for imperfections on a light table. Prior to
weighing, the filters are equilibrated for a minimum of 24 hours at a
temperature of 24° Centigrade and a relative humidity of 50 percent or less.
Because any crease in a filter can seriously affect the air flow, filters
are weighed with a balance that permits weighing without bending.
The filters are then distributed unfolded to the cooperating local
agencies for the urban sites or to the designated participant responsible
for operating the nonurban site. After sampling, the filters are folded
along the lengthwise centerline with the collected particulate matter inside.
They are then returned to a laboratory. The filter with the collected par-
ticulates is again equilibrated for at least 24 hours at a temperature of
24° Centigrade and a relative humidity of 50% or less, after which they are
weighed to determine the amount of particulate matter that was collected.
13
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METALS
In the analysis for metals, quarterly filter composites are analyzed.
A 2.5 by 18.0 centimeter strip is cut across the width from each contributing
filter. The length of each strip utilized in the composite is determined by
the number of filters included in the quarterly composite. (The total area
is fixed at 113 square centimeters.) For example, if there were 5 valid
samples in a quarter, a strip approximately 9 cm long would be cut from each
filter. The 5-8 strips for the quarter are composited and ashed in an oxygen
plasma to oxidize organic material. The metals are then extracted by refluxing
for 3 hours with a mixture of nitric and hydrochloric acids.
Quantitative analysis is accomplished by measuring the intensity of the
emission line for each metal as the sample extract is excited in an optical
emission spectrometer, and by then comparing these measurements with a
calibration curve obtained with standard solutions. For the 1975 samples,
each reported value is the result of one determination made on each composite
extract.
Data for samples collected prior to 1966 may not be directly comparable
to the results presented in this report because samples taken from 1957
through 1965 were ashed in a muffle furnace at 500° Centigrade, causing the
loss of varying amounts of the elements. For samples collected beginning in
1966, this deficiency has been corrected by ashing in an oxygen plasma at
lower temperatures.
14
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SECTION 4
NATIONAL SUMMARY OF AIR QUALITY MEASUREMENTS
The data in Tables 4-1 and 4-2 are cumulative frequency distributions
by individual element of all quarterly results for urban and nonurban loca-
tions, respectively. Consider, for example, the line for urban 1975 lead.
The first number, 695, gives the number of site quarters of lead data for
the year. The next entry, minimum, is the lowest urban site quarter result
of LD pg/m3. Other entries, such as 1.54 under the 90th percentile column,
are to be interpreted such that 90 percent of the 695 site-quarter results,
i.e., .90x695=626, were equal to or less than 1.54 yg/m3. The usual
descriptive statistics, means and standard deviations (arithmetic and
geometric) are shown in the last 4 columns. Comparisons among years within
a pollutant provide a relative indication of trends. For example, lead
values across the country appear to be decreasing--not only on the average
but also for most percentiles of the frequency distribution shown in
Table 4-1. However, some of the year-to-year variability in the national
summary tables may be attributed to different sets of sites being used in
the summarization depending upon which sites met the completeness criteria
for valid data.
Since typical levels of some pollutants may be geographically dependent,
the national frequency distribution is not helpful for judging the localized
contribution and relative severity of these pollutants for an individual
site. Therefore, local site analyses should be performed with data from
surrounding sites within the same general geographical area.
The increase in copper ion concentration for 1975 compared to previous
years for both urban and nonurban sites should be noted.
15
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TABLE 4-1. URBAN NATIONAL CUMULATIVE FREQUENCY DISTRIBUTIONS
Percent lies
Element
Beryllium**
Cadmium
Year
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
No.
787
742
708
559
594
693
797
717
708
559
594
695
Min.
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
10
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
30
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
50
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
70
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
90
0.2
0.2
LD
LD
LD
0.1
.008
.010
.007
LD
.006
.011
95
0.3
0.3
LD
LD
LD
0.1
.012
.017
.011
.007
.009
.013
99
0.6
0.5
LD
LD
LD
0.2
.027
.059
.034
.012
.022
.030
Max.
2.9
0.7
LD
LD
0.2
1.4
.099
.295
.112
.032
.077
.163
Arithmetic
Mean*
0.1
--
--
--
0.03
.003
.004
.002
.001
.002
.003
Std.
Dev.
0.2
0.1
--
--
--
0.1
.007
.016
.007
.003
.005
.009
Geometric
Mean*
0.01
0.03
--
--
--
0.01
—
--
--
--
--
.003
Std.
Dev.
4.91
3.22
--
--
--
3.89
4.40
5.21
4.97
4.89
4.90
4.38
*For years prior to 1975, if the calculated means were less than the discrimination limit, they were
reported as LD. For 1975 the calculated means are reported as calculated without regard to the LD.
**Expressed in ng/m3.
(Continued)
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TABLE 4-1 (Continued)
Percentiles
Element
Chromium
Cobalt
Copper
Iron
Year
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
No.
797
717
708
559
594
695
797
717
708
559
594
695
790
715
706
555
590
695
796
717
708
558
594
695
Min.
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
.02
LD
LD
LD
LD
LD
LD
10
LD
LD
LD
LD
LD
.003
LD
LD
LD
LD
LD
LD
.04
.04
.03
.03
.04
.06
0.6
0.8
0.5
0.4
0.4
LD
30
LD
LD
.001
LD
.003
.005
LD
LD
LD
LD
LD
LD
.06
.07
.06
.06
.08
.12
1.1
1.3
0.8
0.7
0.7
0.7
50
.006
.007
.004
.004
.005
.006
LD
LD
LD
LD
LD
LD
.10
.10
.09
.09
.11
.18
1.4
1.7
1.0
0.9
0.9
1.0
70
.009
.010
.006
.007
.007
.008
LD
LD
LD
LD
LD
LD
.16
.18
.15
.14
.17
.28
1.9
2.3
1.4
1.2
1.2
1.3
90
.017
.019
.011
.015
.012
.013
LD
LD
LD
LD
LD
LD
.32
.37
.35
.34
.36
.52
3.2
3.6
2.2
1.9
1.9
2.0
95
.024
.026
.017
.023
.015
.016
LD
LD
LD
LD
LD
.004
.50
.59 1
.49 1
.45
.51
.69 1
4.2
4.9
2.8
2.6
2.4
2.7
99
.046
.057
.040
.074
.035
.045
LD
LD
LD
LD
LD
.009
.99
.28
.00
.79
.78
.42
6.4
8.1
4.1
3.8
3.9
4.5
Max.
.130
.171
.143
.228
.073
.173
.014
.085
.042
.027
.029
.040
1.51
1.56
1.57
1.44
1.33
3.09
14.2
16.0
6.4
6.9
6.2
7.9
Arithmetic
Mean
.008
.009
-006
.007
.006
.008
—
.001
—
.001
--
.001
.15
.18
.16
.15
.17
.26
1.7
2.1
1.2
1.1
1.1
1.2
Std.
Dev.
.011
.014
.010
.015
.006
.011
.001
.003'^
.002
.002
.001
.002
.18
.22
.19
.17
.16
.29
1.3
1.6
0.8
0.8
0.7
0.8
Geometric
Mean
.006
.008
.004
.004
.005
.007
—
--
--
--
--
.001
.10
.11
.10
.10
.12
.18
1.38
1.65
1.04
0.89
0.89
0.99
Std.
Dev.
2.80
2.97
3.17
3.62
2.37
2.76
3.11
7.05
5.97
4.45
4.85
4.73
2.57
2.62
2.60
2.49
2.26
2.45
1.98
1.98
1.83
1.89
1.87
1.86
(Continued)
-------
TABLE 4-1 (Continued)
00
Percent! les
Element
Lead
Manganese
Nickel
Titanium
Year
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
I?~r1
1970
1971
1972
1973
1974
1975
No.
797
717
708
559
594
695
795
716
708
559
594
695
797
717
708
559
594
695
797
716
707
559
593
695
Min.
LD
LD
LD
LD
.08
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
.01
10
.47
.42
.46
.35
.36
.37
.02
.02
.01
.01
.01
.01
LD
LD
LD
LD
LD
LD
.02
LD
LD
LD
LD
.01
30
.75
.71
.72
.58
.57
.58
.03
.04
.02
.02
.02
.02
LD
LD
LD
LD
LD
LD
.03
LD
.02
.02
.02
.02
50
1.05 1
1.01 1
.97 1
.77 1
.75 1
.78
.04
.05
.03
.02
.02
.03
LD
LD
LD
LD
LD
.012
.04
.03
.03
.04
.03
.03
70
.37
.42
.25
.05
.00
.96
.06
.07
.04
.04
-04
.04
.019
.018
.013
.013
.012
.019
.06
.05
.05
.05
.05
.04
90
2.01 2
2.21 2
1.93 2
1.62 2
1.61 1
1.54 2
.15
.16
.09
.07
.07
.07
.045
.045
.031
.036
.026
.032
.09
.09
.08
.08
.07
.08
95 99
.59 4.14
.86 4.38
.57 3.69
.08 3.03
.97 3.16
.02 3.15
.23 .49
.24 .46
.12 .22
.11 .29
.11 .21
.10 .18
.066 .127
.064 .126
.045 .100
.066 .133
.034 .057
.039 .062
.12 .18
.12 .20
.10 .14
.10 .14
.09 .14
.11 .16
Max.
5.83
6.31
6.88
5.83
4.09
4.94
2.10
1.95
.86
.56
.35
.72
.277
.347
.268
.439
.639
.092
.26
.51
.48
.23
.22
.63
Arithmetic
Mean
1.19
1.23
1.13
.92
.89
.89
.07
.08
.04
.04
.04
.04
.015
.015
.011
.014
.009
.014
.05
.04
.04
.04
.04
.04
Std.
Dev.
.80
.87
.78
.64
.57
.59
.12
.11
.06
.05
.04
.04
.028
.028
.023
.037
.029
.014
.03
.05
.03
.03
.03
.04
Geometric
Mean
.99
1.00
.93
.76
.75
.74
.04
.05
.03
.02
.02
.02
.01
.01
.01
.01
.001
.01
.04
.02
.03
.03
.03
.03
Std.
Dev.
1.84
1.89
1.87
1.87
1.80
1.82
3.13
2.81
2.76
2.72
2.39
2.49
3.41
3.34
3.55
4.19
4.60
2.34
1.85
2.66
2.21
2.01
2.06
2.35
(Continued)
-------
TABLE 4-1 (Continued)
P(=.rn=mti 1 PQ
Element
Vanadium
Year
1970
1971
1972
1973
1974
1975
No.
795
718
708
559
594
695
Min.
LD
LD
LD
LD
LD
LD
10
LD
LD
LD
LD
LD
LD
30
LD
LD
LD
LD
LD
LD
50
LD
LD
LD
LD
LD
LD
70
.029
.026
LD
LD
LD
.020
90
.162
.117
.075
.057
.058
.050
95
.244
.204
.100
.077
.083
.069
99
.544
.496
.195
.151
.185
.152
Max.
1.222
1.325
.858
.393
.248
.296
Arithmetic
Mean
.052
.041
.022
.016
.019
.018
Std
Dev.
.116
.108
.056
.034
.037
.031
Geometric-
Mean
.020
;014
.006
.005
.006
.015
Std
Dev.
3.82
4.20
4.06
3.68
3.51
3.25
-------
TABLE 4-2. NONURBAN NATIONAL CUMULATIVE FREQUENCY DISTRIBUTIONS
N)
O
Percentiles
Element
Beryllium*
Cadmium
Chromium
Cobalt
Year
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
No.
124
97
137
100
79
99
124
97
137
100
79
98
124
97
137
100
79
98
124
97
137
100
79
98
Min.
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
10
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
30
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
50
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
.003
LD
LD
LD
LD
LD
LD
70
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
.005
.002
.001
.002
.004
LD
LD
LD
LD
LD
LD
90
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
.007
.007
.005
.007
.005
.007
LD
LD
LD
LD
LD
LD
95
LD
LD
LD
LD
LD
.07
LD
LD
LD
LD
LD
LD
.017
.011
.006
.017
.008
.008
LD
LD
LD
LD
LD
LD
99
.24
.16
LD
LD
LD
.16
LD
LD
LD
LD
LD
.0128
.042
.034
.009
.039
.009
.011
LD
LD
LD
LD
LD
.005
Max.
.24
.24
LD
LD
LD
.22
LD
LD
LD
LD
LD
.0144
.075
.061
.039
.066
.009
.014
LD
LD
LD
LD
LD
.006
Arithmetic
Mean
_.
.01
--
--
--
.01
.0001
.0001
.0001
.0001
.0002
.0005
.003
.004
.002
.003
.002
.003
—
--
--
--
--
.002
Std.
Dev.
.03
.03
--
--
--
.03
.0000
.0000
.0000
.0000
.0000
.0022
.009
.007
.004
.009
.002
.003
—
--
--
--
--
.001
Geometric
Mean
— —
--
--
--
--
.0001
.0001
.0001
.0001
.0001
.0002
.0005
--
__
—
--
--
.0029
__
--
--
--
--
.0014
Std.
Dev.
7.62
6.10
--
--
--
5.58
1.00
1.00
1.00
1.00
1.00
5.40
4.60
3.48
3.58
4.16
2.67
2.29
__
--
--
--
--
3.19
*Expressed in
(Continued)
-------
TABLE 4-2 (Continued)
Percent! les
Element
Copper
Iron
Lead
Manganese
Year
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
No.
124
96
137
99
78
98
124
97
137
99
79
98
124
85
137
100
79
98
124
97
137
100
79
98
Min.
LD
.014
LD
.011
.023
.014
LD
.07
LD
.01
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
10
.029
.029
.025
.035
.039
.066
.13
.18
.05
.02
.04
LD
LD
LD
LD
LD
LD
LD
.003
.003
LD
LD
LD
LD
30
.056
.086
.058
.075
.081
.122
.22
.27
.12
.11
.12
LD
LD
LD
LD
LD
.053
LD
.006
.009
LD
LD
.001
.004
50
.081
.141
.116
.119
.124
.176
.32
.43
.19
.16
.19
LD
LD
LD
.107
LD
.087
LD
.012
.013
.003
.002
.004
.006
70
.164
.208
.193
.219
.238
.312
.45
.63
.31
.21
.28
LD
LD
LD
.166
.132
.141
.144
.018
.022
.007
.004
.007
.009
90
.342
.495
.377
.440
.461
.627
.68
.90 1
.56
.34
.47
LD
.267
.127
.294
.233
.221
.255
.035
.032
.016
.011
.017
.014
95
.526
.648
.660
.571
.643
1.040
.85
.04
.68
.47
.55
LD
.383
.204
.392
.392
.317
.311
.041
.041
.029
.022
.023
.018
99
1.053
.785
.804
.849
.860
3.717
1.58
1.52
1.06
.88
.65
.67
.628
.783
.950
.698
.496
.431
.066
.064
.039
.030
.027
.031
Max.
1.195
.880
.812
.983
1.147
4.068
1.62
2.80
1.15
1.19
.69
.99
1.471
1.134
1.048
.939
.534
.649
.068
.102
.046
.030
.033
.040
Arithmetic
Mean
.158
.205
.178
.196
.208
.364
.38
.51
.25
.19
.24
.23
.088
.047
.139
.110
.111
.085
.015
.018
.007
.004
.006
.007
Std.
Dev.
.188
.196
.183
.196
.210
.637
.27
.38
.22
.18
.17
.16
.190
.155
.169
.149
.111
.126
.013
.015
.009
.005
.007
.007
Geometric
Mean
.081
.150
.116
.138
.147
.180
.31
.41
.19
.14
.19
.19
.040
.008
.090
.068
.083
.054
.012
.013
.003
.002
.004
.015
Std.
Dev.
2.56
2.24
2,33
2.30
2.31
3.26
1.90
1.95
2.11
2.19
1.92
1.88
3.72
4.80
2.59
2.77
2.30
2.95
2.11
2.09
2.81
2.79
2.52
2.19
(Continued)
-------
TABLE 4-2 (Continued)
K)
Percentiles
Element
Nickel
Titanium
Vanadium
Year
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
1970
1971
1972
1973
1974
1975
No.
124
97
137
100
79
98
124
97
137
100
78
98
124
97
137
100
79
98
Min.
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
10
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
LD
30
LD
LD
LD
LD
LD
LD
.007
LD
.011
.012
LD
.007
LD
LD
LD
LD
LD
LD
50
LD
LD
LD
LD
LD
LD
.011
LD
.024
.027
.016
.010
LD
LD
LD
LD
LD
LD
70
LD
LD
LD
LD
LD
LD
.015
.028
.038
.040
.026
.013
LD
LD
LD
LD
LD
LD
90
.019
LD
.009
.014
LD
.015
.023
.042
.054
.054
.043
.035
.021
LD
LD
LD
LD
.017
95
.024
LD
.015
.059
.006
.024
.028
.049
.069
.068
.049
.047
.035
.036
.025
LD
LD
.020
99
.076
.046
.076
.188
.020
.036
.047
.065
.081
.076
.053
.131
.112
.114
.047
.028
.021
.027
Max.
.097
.083
.082
.280
.026
.105
.093
.069
.092
.084
.066
.167
.112
.209
.205
.035
.023
.036
Arithmetic
Mean
.005
.003
.004
.011
.002
.005
.013
.017
.027
.028
.020
.016
.008
.007
.004
LD
LD
.004
Std.
Dev.
.014
.011
.012
.037
.004
.013
.011
.020
.022
.021
.017
.024
.019
.024
.019
.005
.004
.007
Geometric
Mean
.001
.001
.001
.001
.001
.0045
.011
.010
.024
.024
.014
.014
.001
.001
.001
.001
.001
.006
Std.
Dev.
4.58
5.28
4.64
4.93
3.62
4.16
2.15
2.54
2.04
1.93
2.09
2.95
4.04
5.04
5.77
3.88
3.36
3.42
-------
Section 5
DATA TABLES
The data are arranged by urban and nonurban sites. Each monitoring
site is assigned a unique code number as described in the SAROAD Station
Coding Manual.*
Data are presented as quarterly composite and yearly average values
expressed in micrograms (nanograms in the case of beryllium) per cubic meter
of air. Quarterly composites are judged to be representative and are
included in the tables (1) if there are at least five valid filters per
quarter and (2) if one month lacks any valid samples, the other two months
in that quarter have at least two valid samples. If only one quarterly
composite has a "zero" concentration (shown as LD in the data tables), the
yearly mean is calculated by replacing the LD with a value equal to one-half
the LD shown in Table 2-1. If two or more quarters within a site year are
below the analytical discrimination value, the yearly average is not calcu-
lated. Prior to the analysis of 1970 samples, the general procedure was to
analyze for trace metal concentrations only when the entire year was valid,
i.e., all 4 quarters were represented. This practice meant that the tables
were complete without blanks. This procedure has been liberalized during
the period since 1970 to allow for analyses of any valid quarters for a
given station even though the entire year may not be represented.
Data table headings present the bias and precision information from
Table 2-2. For example, the headings for beryllium include the following:
*Fair, D.H. SAROAD Station Coding Manual. U.S. Environmental Protection
Agency, Office of Air Programs, Research Triangle Park, North Carolina.
Publication No. APTD-0907. February 1972.
23
-------
95% Confidence Limits
Bias Precision
16 ±62
The bias and precision values can be used in equations (5a) and (5b) to
compute upper and lower 95 percent confidence limits on the true concentra-
tion for a given reported concentration, i.e., for a given quarterly compo-
site value. For example, the confidence limits for a. reported beryllium
concentration of .84 ng/m3 would be:
LU = X(l + B/100 +1.96 Cy/100) (5a)
= .84(1 + 16/100 + 62/100)
= 1.495 ng/m3
L^ = X(l + B/100 - 1.96 Cv/100) (5b)
= .84(1 + 16/100 - 62/100)
= .454 ng/m3
Thus, the interval between .45 ng/m3 and 1.50 ng/m3 would be expected
to include the true value with a confidence of 95 percent.
24
-------
POLLUTANT : 12105 - BERYLLIUM
"FTHOO ! MI-VOL FMJSS10N SPEfTRA MUFFir FURNACF
UNITS : NR/CU METER (25 el
0».TA TYPE t (lllARTERLY COMPOSITE.
URPAN
HE
AWALYT1CA| QU*iITT
ANALYTICAL OISCBIMINATION ||*!T [| "I
95 PERCENT CONFIDENCE ll«|TS
MAS <»l l« PRECISION (*) •.
LOCATION
AL'BA'iA
!M RMI MGHftl"
sire 003
f.AOSOF.N
SITF 001
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"OSHF
SITE 001
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SITE 001
PHOF N i x
SITF no?
TUCSON
SITE ooi
AP'ANSAS
EL OORAOO
SITE an?
LITTLE ROCK
SITE 001
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SITE ooi
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POLLUTANT ! IJIOS - BERYLLIU"
METHOD : HI.VOL EMISSION SPECTRA HUfFLF FURNACE
UNITS : NC/CU METER I ZS Cl
DATA TYPE ; QUARTERLY COMPOSITE
BE
AN»LYT!C»| QUALITY
ANALYTICAL DISCRIMINATION | | fl t T ILD) .OonrH
95 PERIENT CONFIDENCE LI«ITS
BIAS l») U PBFCI«;!ON If] .- H
LOCATION
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SPO< ANE
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SOUTH CHARLESTON
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KENOSHA
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MILWAUKEE
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MILWAUKEE
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pirrLF FURNArr
LIMITS ! nr,/CU MfTFR I 75 C I
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POLLUTANT : 12110 - CADMIU'
•LTHOD : "1-VOL EMISSION SPECTRA MUFFLE FURNACE
I'., MS . Uo/CU rETER (25 C>
CA1A KfE : euARTtRLY COMPOSITE
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32
-------
POLLUTANT : 12110 - CADHIUft
METHOD : hl-VOL EMISSION SPECTRA HUfFLE
UMTS : Ufa/CU METER (25 C)
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DATA TYPE : QUARTERLY
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ANALYTICAL DUALITY
ANALYTICAL DISCRIMINATION LIMIT «- 46
! LOCATION
1
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33
-------
PUL1.UTA|,1 : 12110 - CADMIUM
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UMTS : UU/CU PETER (25 C>
D..H TYPE : «o«RTERLY COMPOSITE
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POLLUTANT : 12110 - CADMIUM
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POLLUTANT j 12111 - COBALT
HFTHOD t HI-VOL EMISSION <;p£tTRA "UrFLF FURNA.CF
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PnilUTA'IT : |?l 13 - COBALT IIRHAK AN(LYT'C«I OIIAllTY
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POLLUTANT ! t?IIJ - COBALT
METHOD : MI-VOL EMISSION SPF.CTPA MUFFLE FURNACF.
UNITS : tiB/cu METER 125 ci
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ANALYTICAL DISCRIMINATION l j * f T ((nj ,0n10
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PERCENT CONFIDENCE LI"lT5
PUS (*) 11 PRECISION (*) *- *P
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74
-------
POLLIJTAMT ! 12132 - MANGANESE
METHOD : H1-VOL EMISSION spFtTRA MUFFLE FURNACF
UNITS : US/C1I HFTFR. I 2S cl
DATA TYPF ! QUARTERLY COMppjITF
IIRBAK
MN
ANALYTICAL IJUALITY
ANALYTICAL DISCRIMINATION LI"]T (I 1) ,0<>7-5
95 PERCFNT CONFIDENCE 1!"|TS
BUS I*) 71 PRECISION 1*1 •- 27
LOCATION
Ll. 1NOIS
«0«TH CHICAGO
SITE OQ7
PFOHIA
SITC 001
RnCKFORO
SITE nni
ROCK ISLAun
SITE 001
SPRINGFIELD
SITF 001
IMOI«NA
{AST CHICAGO
SITE 001
FV«NSVIL1F
SITE Oni
FOHT WAYNE
SITF 002
SITE 003
GARY
5ITE 001
HAMMOND
SITE 002
INDIANAPOLIS
SITE 001
1NOIANAPOLI"
SITF 007
MIJNC IF.
SITE Oni
w« ALBANY
SITE 002
SOUTH BEND
SITE D07
TERRE HAUTE
SITE 001
I
I IOWA
! CEDAR RAPIDS
! SITE 018
1
! DAVENPORT
! SITF 001
)
! DES KOINES
1 SITE 001
I
1 DUBUOUE
! SITE On 1
i
! OUBUQUE
I SITE 002
! OUBUQUE
! SITE 008
•.
! WATERLOO
! SITE 001
i
! WATERLOO
! SITF 00*
!
[KANSAS
! KANSAS CITY
! SITE 002
i
! KANSAS CITY
'• SITE Oil
f
1 KANSAS CITY
• SITE 0|2
' KANSAS CITY
! SITE 015
'• TOPFKA
! SITF 001
!
!
YR.
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
1ST
QTR,
.0231
• 0314
• 0271
.0311
•0151
• T.HO
• 036H
LD
10
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.2159
.0753
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.0178
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.0317
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.0230
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! LOCATION
i
t
!KANSAS
! WICHITA
! SITF onl
i
JKENTUCKY
! ASHLAND
! SITE on?
! BOWLING GpEFN
! SITE Onl
1
! COVINGTON
! SITF oni
[
! LtX INfiTflig
! SITF nni
F
! LOIIISVHLF
! SITE On2
!
..'LOUISI ANA
! BATON ROUGF
! SITF On2
! I8FRVILLE PAR
! SITE On2
! NFtf ORLFAuS
! SITE 00?
i
• SHREVFPORT
! SITE oni
;
!MA|MF
! PORTLAND
! SITE 001
J
IMARYl AND
f BALTIMORE
! SITE onl
r
[MASSACHUSETTS
! BOSTON
! SITE nni
i
! BOSTON
! SITE 012
t
! CAMBRIDGE
! SITt 001
i
! F«L( RIVF"
! SITF Onl
•
! NEW BEDFORD
! SITF 001
1
! NEW BEDFORD
! SITE 007
i
! SPRINGFIELD
! SITE 002
.
! WORCESTER
! SITE nni
1
!M I CM I CAN
! BFARBORN
! SITE Onl
i
! DETROIT
! SITE nni
t
! FLINT
! SITE 008
! «R«NO RAPIDS
! SITE 001
! LANSING
! SITE 001
_
! SiGINAH
! SITE 001
! TRFNTON
! SITE On"
1
IMlNNFSOTA
I DIJLUTH
! SITE on!
r
f MlrVNElPPLf S
f SITE nni
!
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-------
«ftM"Mi ; ui.voi CHISSION SPFTTRA NUFFLF FURNACT
IIM|IS : IK-/CIJ "ETFR 175 Cl
n«t« TIIT : OII«RTERLY COMPOSITE
OUALITT
ANALYTICAL OISCRIHINATION LI"!T IIO|
95 PFRCFNY CONFIDENCE i I»ITS
MAS l«l 2' PRECISION 111 »-
1 t OC * M T
* >• I *" ' 'I S 0 T A
t VTTC n^7
> i T t U 7 7
"TUxian
5ITF HOI
! ST PALM.
SITE 05,
' M 1 r- r- 1 S S I a P 1
f .if r SON
• SITI 1-7
fAIISSS Cl'Y
! SITf 007
'. M 1 "UIS
' ? 1 TF oo |
! 5' LOUIS
'- S'TT '177
f H n " T 5 N A
! MtF 001
' 1 I'lCOLN
' SITE 007
1
* HHAHU
: s i ir oo i
t
t OMAHA
: SITE nan
! SITf njq
fNrVAOA
f LAS VtfiAS
' 51TC 001
r
! SITF nni
!NfW HAMPSHIRE
f CONCORD
SITE on?
lNfw JF«SFV
! RAYONNf
J SITE noi
f
! CA»OEN
! SITF 00|
*
f CAMOF.N CO
! SITF 007
! CAI'OFN CO
I SITE 001
! Fl IZA6ETH
! SITE no?
I
! GLASSBORO
! SITE 001
! HAMILTON
! SITE 001
! JERSEY CI1Y
! SITE 001
! NFMA"K
! SITE 001
! PATFRSON
! SITf Oil
f PFRTH AMBOY
r SITF nni
! TRENTON
! SITE 001
!YF" MFXICO
.' ALBUOUEHOtir
! SITE 001
;
YR.
75
75
75
„
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
i
1ST
OTR .
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.0120
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in
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•
LOCATION
NEW YORK
A| P-ANY
SITE 0-1
BUFFALO
SITF Oo|
NFW YORK CITY
SITE Oil
NIAGARA FALLS
SITE 00|
ROCHESTER
SITF On|
SYRACUSF
SITE 001
intcA
SITF On|
YO'TFRS
SITE OnJ
WORTH CARni. 1 NA
CHARLOTTE
SITE Onl
DURHAM
SITF nnl
OURMAM
SITE 006
GSEFNSBORO
SITE ooi
GRFFNSBORO
SITE 009
WINSTON-SALFM
SITE 002
NORTH DAKOTA
BISMARCK
SITE 001
OHIO
AKRnN
SITE Oil
CANTON
SITE 001
CINCINNATI
SITE nni
CLFUEI.AUD
SITE nnl
COI.UH8US
SITE nni
DAYTON
SITE Onl
IPONTON
SITE On9
MANSFIEID
SITE OOB
PORTSMOUTH
SITE 002
STFUBENVIl LF
SITE 017
TOLEDO
SITE 001
YOIINGSTOWN
SITE on|
OKLAHOMA
CMFROrFF CO
SITE 100
TIU S»
SITE 1 10
OREGnN
! E'-'GFNF
! SITE nol
!
! YR.
!
,
f
(
! 75
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76
-------
I'OLl.UTANT ; 12132 - "A
MFTHOD ! U1-VOL FKISSION SPFrTPA
UMTS : ur./ru KFTFR 125 ci
DATA TYPF • QUARTERLY COMPOSITF
fUI>»»Cr
"UAl I TT
' 1.0C»T10K>
'-""^FORD
! SITF 0"|
I
! Pp!<*t.ANO
! SITf nnt
IprNNSYLVANI A
• &C 1 f NTOWM
• sire nni
1
• A|_ flONA
• stTt nni
J
! P.FTKI.FHF."
! SITE nriz
! rp)F
r SITF no?
!
! M/RRISBU^C
! SITF or i
• HARRISBUSC,
! SITE li|
!
i HA/LETON
; SITF DPI
r JOHNSTOWN
! SITE flm
! L«"C»STFR CITY
! SITE 007
r
! PHILADELPHIA
! SITE Qni
i
l PITTSBURGH
! SITE 00|
f PFACMNB
! SITE Oni
! SdTANTON
! SITE 001
! •JAR»IN5TER
! SITE 007
1 WFST CHESTF"!
! SITE 1 |0
1 WII.KES-BARRE
! SITE Oot
!
! Yn»K
! 51TC 327
l
[PUERTO RICO
' SITE 002
r CATANO
• SITE 002
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HfHon : »|.vni EMISSION srfrTpA XIIFFLF FURNATF
•••I's : 'ir,/cu -TTfi 121 ri
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POLI.UTA'.'T 1 I?1fe4 - VANADIUM
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UNITS : ur./ru METF.I? i2s r)
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9S PERCtNT CONFIDENCE lJM|T-S
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95 PFSfENT CONFIDENCE LtMlTS
fl|(s (•) 7, PRECISION l»l »- *n
LOCATION ! IK,
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- VANADIUM
>tt -vm. EMISSION sp
UNITS : UK/CU ^ETrn izs ct
DATA TYpr : QijARTFSLY Cfl
FUPMACF
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1)1 SCR! *1 NATION 1.1 * T T [ i.n i .firs'"?
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SITE 001
CUMOEN CO
SITE 007
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SITE 00.1
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WAHILTON
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JFRSEY CITY
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APPENDIX A
CONFIDENCE LIMITS OF MEASURED VALUES
The usual formula for computing confidence limits of individual values
when the precision is measured as the coefficient of variation is:
Lu = X(l + ta/2 Cv/100) (A-la)
L£ = X(l - to/2 Cy/100) (A-lb)
where L = upper limit
X = the measured value
t ,_ = the t statistic for the desired confidence
C = the coefficient of variation expressed as a percentage
L- = lower limit
As an example, assume that the precision of an air pollution measurement
system as measured by the coefficient of variation is 5.1 percent. An
individually measured value of .475 pg/m3 was observed. Assuming a 95 per-
cent confidence interval (a=0.05) and a large number of degrees of freedom,
tO 025=1"96' Therefore* tne 95 percent confidence limits for the true
value are:
L = .475[1 + (1.96)(5.1)/100] (A-2a)
= .523 pg/m3
L. = .475[1 - (1.96)(5.1)/100] (A-2b)
Xr
= .428 pg/m3
Note that these limits are symmetric about the observed value.
102
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Since use of the coefficient of variation implies that the precision is
a function of the concentration level, more correct formulas for computing
the confidence limits are:
L =
u
- 'a/2 V100
(A-3a)
'a/2 V100
(A-3b)
Using the data in the previous example, the upper and lower 95 percent
confidence limits are:
L =
u
.475
1 - (1.96;) (5.1)/100
.475
1 + (1.96)(5.1)/100
= .528 yg/nr
= .432 Mg/m3
(A-4a)
(A-4b)
These limits are asymmetric (as they should be) about the observed
value and they result in a slightly wider confidence interval than given by
A-2a and A-2b.
The graphical representation of the procedure is shown in Figure A-l.
Figure A-l.
Graphical representation of upper and lower confidence
intervals for an individually measured concentration
value when precision is evaluated over a range of con-
tration levels.
103
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The confidence limits in equation A-3 were derived from Figure A-l as
follows:
X = Lu(l - ta/2 Cy/100) (A-5a)
X = L4(l + to/2 Cv/100) (A-5b)
Therefore,
L = _ * _ (A-6a)
U l - 'a/2 V100
L = X < (A-6b)
1 * V2 V100
The general formula for computing confidence intervals when both bias
and precision are in percentage of concentration level, and when the bias
varies from time to time in random manner, is as follows:
X(l + B/100)
L = - == - (A-7a)
u - v '
i - kv/sB2 + cv2/ioo
X(l + B/100)
•== - (A-7b)
Cv2/100
where L = upper confidence limit
L. = lower confidence limit
X = measured value
B = average percentage bias (percentage loss)
SR = standard deviation of percentage bias
C = coefficient of variation for precision, percent
k = standard normal deviate for desired confidence level
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TECHNICAL rUi"ORT DATA
(1'ti-a.ie rcaii Inunctions t>,i I .< n-\\-rsf bc',orc t
REPORT NO.
2.
TITLE AND SUBTITLE
AIR QUALITY DATA FOR METALS 1975 FROM THE NATIONAL
AIR SURVEILLANCE NETWORKS
3. RECIPIENT'S ACCESSION" NO.
5. REPORT DATE
.
6 PERFORMING ORGAN,ZAT,ON CODE
September 19JL8
AUTHOR(S)
R.C. Rhodes, D.H. Fair, J.E. Frazer, S.J. Long,
W.A. Loseke, V.A. Wheeler and J.F. Walling
8. PERFORMING ORGANIZATION REPORT NO.
. PERFORMING ORGANIZATION NAME AND ADDRESS
Environmental Monitoring and Support Laboratory
Environmental Protection Agency
Research Triangle Park, North Carolina 27711
10. PROGRAM ELEMENT NO.
1AD606
11. CONTRACT/GRANT NO.
2. SPONSORING AGENCY NAME AND ADDRESS
Environmental Monitoring and Support Laboratory
Office of Research and Development
U.S. Environmental Protection Agency
Research Triangle Park, North Carolina 27711
13. TYPE OF REPORT AND PERIOD COVERED
Final
14. SPONSORING AGENCY CODE
EPA/ORD
15. SUPPLEMENTARY NOTES
16. ABSTRACT
Particulate pollutant data gathered during calendar year 1975 by the cooperating
stations of the National Air Surveillance Networks provide the basis for listing
the urban and nonurban concentrations of 11 metallic components of suspended
particulate matter.
The data are presented as a composite concentration value for each site for each of
the four quarters of the calendar year; a yearly average is reported whenever valid
data for all four quarters were obtained.
Three previous EPA publications, APTD-0978 and APTD-1467, EPA 600/4-76-041, list metal
components of suspended particulate matter collected during 1966 and 1967, 1968 and
1969, and 1970 through 1974, respectively.
17.
KEY WORDS AND DOCUMENT ANALYSIS
DESCRIPTORS
t>. IDENTIFIERS/OPEN ENDED TERMS
C. COSATI Held/Group
Metals containing organic compounds
Air pollution
Monitors
Quality control
NASN
13B
14C
13. DISTRIBUTION STATEMENT
Release to public
19. SECURITY CLASS (This Report)
Unclassified
21. NO. OF PAGES
110
20. SECURITY CLASS (Thispage)
Unclassified
22. PRICE
EPA Form 2220-1 (9-73)
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