NONMETHANE ORGANIC COMPOUNDS MONITORING
ASSISTANCE FOR CERTAIN STATES
IN EPA REGIONS III, IV, V, VI, AND VII
PHASE II
Final Project Report
CORPORATION
-------
DCN No. 85-203-024-12-01
Radian No. 203-024-12
EPA No. 68-02-3513
NONMETHANE ORGANIC COMPOUNDS MONITORING
ASSISTANCE FOR CERTAIN STATES
IN EPA REGIONS III, IV, V, VI, AND VII
PHASE II
Final Project Report
Prepared by:
Radian Corporation
3200 East Chapel Hill Road/Nelson Highway
Post Office Box 13000
Research Triangle Park, North Carolina 27709
Property of U S. Environmental
Protection Agency Library MD-108
JUN 03 1987
1200 Sixth Avenue/Seattle, WA 98101
February, 1985
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TABLE OF CONTENTS
List of Figures iv
List of Tables. vi
1.0 SUMMARY 1-1
1.1 INTRODUCTION 1-1
1.2 DESCRIPTION OF OVERALL DATA QUALITY 1-3
1.2.1 Completeness 1-3
1.2.2 Calibration 1-3
1.2.3 Analytical Precision 1-3
1.2.4 Overall Precision 1-5
1.2.5 Accuracy 1-8
1.3 CONCLUSIONS 1-11
2.0 NMOC DATA SUMMARY 2-1
3 .0 ANALYTICAL TECHNICAL NOTES 3-1
3.1 INSTRUCTIONS FOR OPERATION OF NMOC SAMPLERS 3-1
3.1.1 Installation 3-1
3.1.2 Operation - Presampling 3-2
3.1.3 Operation - Post samp ling 3-3
3.1.4 Troubleshooting Instructions 3-4
3.2 ANALYTICAL 3-5
3.2.1 Instrumentation 3-5
3.2.2 Hewlett-Packard 5880 Gas Chromatograph Operation. 3-5
3 .2.3 NMOC Analytical T6choiQU€........................ 3—7
3 .3 CALCULATIONS 3-7
3.3.1 Daily Calibration. 3-7
3.3.2 NMOC Sample Concentrations 3-8
ii
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TABLE OF CONTENTS (Continued)
4.0 QUALITY ASSURANCE/QUALITY CONTROL DATA ANALYSIS 4-1
4.1 INTRODUCTION 4-1
4.2 QA/QC DATA 4-1
4.2.1 Calibration and Drift 4-1
4.2.2 Preliminary Multiple Analyses 4-22
4.2.3 Repeated Analyses 4-29
4.2.3.1 All Sites 4-30
4.2.3.2 Local Ambient Samples 4-81
4.2.4 Duplicate Samples 4-86
4.2.5 QC Samples 4-104
4.2.5.1 Radian In-House QC Samples 4-104
4.2.5.2 Other QC Samples 4-131
5.0 NMOC DATA ANALYSIS 5-1
6.0 RECOMMENDATIONS 6-1
6.1 EQUIPMENT DESIGN AND RECOMMENDATIONS 6-1
6.2 SAMPLE STABILITY., 6-2
6.3 REPEATED ANALYSES 6-2
6.4 NMOC SPECIATION BY GC/MS 6-4
6.5 ADDITIONAL 1984 NMOC DATA ANALYSIS 6-5
APPENDIX A: DETERMINATION OF ATMOSPHERIC NONMETHANE ORGANIC A-l
COMPOUNDS (NMOC) BY CRYOGENIC PRECONCENTRATION
AND DIRECT FLAME IONIZATION DETECTION, Quality
Assurance Division, Environmental Monitoring
Systems Laboratory, U.S. Environmental Protection
Agency, Research Triangle Park, NC, December 1983.
APPENDIX B: OUTLINE OF NMOC DATA ANALYSIS B-l
ill
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LIST OF FIGURES
Fittere Title El&e
1-1 Comparison of Radian Analysis of Repeated Samples 1-6
1-2 Comparison of EPA Analysis of Repeated Samples 1-7
2-1 Plot of NMOC Data for Akron, Ohio . 2-10
2-2 Plot of NMOC Data for Atlanta, Georgia 2-14
2-3 Plot of NMOC Data for Beaumont, Texas. 2-18
2-4 Plot of NMOC Data for Birmingham, Alabama 2-22
2-5 Plot of NMOC Data for Charlotte, North Carolina.. 2-26
2-6 Plot of NMOC Data for Chattanooga, Tennessee 2-30
2-7 Plot of NMOC Data for Cincinnati, Ohio 2-34
2-8 Plot of NMOC Data for Clute, Texas 2-38
2-9 Plot of NMOC Data for Dallas, Texas 2-42
2-10 Plot of NMOC Data for El Paso, Texas 2-46
2-11 Plot of NMOC Data for Fort Worth, Texas. 2-50
2-12 Plot of NMOC Data for Indianapolis, Indiana 2-54
2-13 Plot of NMOC Data for Kansas City, Missouri 2-58
2-14 Plot of NMOC Data for Memphis, Tennessee 2-62
2-15 Plot of NMOC Data for Miami, Florida 2-66
2-16 Plot of NMOC Data for Philadelphia, Pennsylvania 2-68
2-17 Plot of NMOC Data for Richmond, Virginia........ 2-72
2-18 Plot of NMOC Data for Texas City, Texas 2-76
2-19 Plot of NMOC Data for Washington, D.C 2-80
2-20 Plot of NMOC Data for West Orange, Texas 2-84
2-21 Plot of NMOC Data for West Palm Beach, Florida 2-88
2-22 Plot of NMOC Data for Wilkes-Barre/Scranton, Pennsylvania 2-92
4-1 Daily Propane Span Calibration, NMOC Instrument A 4-2
4-2 Daily Propane Span Calibration, NMOC Instrument B 4-4
4-3 Daily Propane Span Calibration, NMOC Instrument C 4-6
4-4 Daily Propane Span Calibration, NMOC Instrumetn D 4-8
4-5 Daily Zero Calibration, NMOC Instrument A 4-10
4-6 Daily Zero Calibration, NMOC Instrument B 4-11
4-7 Daily Zero Calibration, NMOC Instrument C 4-12
4-8 Daily Zero Calibration, NMOC Instrument D 4-13
4-9 Frequency Diagram of Calibration Drift Data. 4-20
4-10 Frequency Diagram of Drift Data 4-21
4-11 Frequency Diagram of Repeated Difference Data 4-41
4-12 Comparisons of Repeated Analyses, Grouped by the Channel of
the Second Analysis * . 4-59
4-13 Comparisons of Repeated Analyses, Grouped by the Channel of
the First Analysis 4-60
4-14 Differences of Repeated Analyses as a Function of Mean NMOC... 4-62
4-15 Duplicate Sample Differences Histogram 4-96
4-16 Stem and Leaf Plot of Duplicate Differences 4-97
4-17 01, Mean Difference in NMOC for Duplicate Sample Analyses..... 4-103
4-18 In-House QC Sample Differences, Histogram 4-118
4-19 In-House QC Sample Differences, Stem and Leaf Plot 4-119
iv
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LIST OF FIGURES (continued)
Figure Title 1&&2.
5-1 Complete NMOC Data 5-2
5-2 NMOC Data Analyzed by EPA Channel E. 5-6
5-3 NMOC Data Analyzed by EPA Channel GC 5-8
5-4 Stem and Leaf Plot of the Standard Deviation of Radian NMOC
Measurements . 5-10
5-5 Time Series Analysis Plot, First-Order Autoregression for
Dallas, Texas Data............. 5-14
5-6 Time Series Analysis Plot, First-Order Autoregression for
Clute, Texas Data 5-16
5-7 Time Series Analysis Plot, First-Order Autoregression for
Philadelphia, Pennsylvania Data 5-18
5-8 Time Series Analysis Plot, First-Order Autoregression for
Akron, Ohio Data 5-20
5-9 Akron, Ohio NMOC Data 5-22
5-10 Atlanta, Georgia NMOC Data.... 5-23
5-11 Birmingham, Alabama NMOC Data 5-24
5-12 Beaumont, Texas NMOC Data 5-25
5-13 Charlotte, North Carolina NMOC Data 5-26
5-14 Chattanooga, Tennessee NMOC Data... 5-27
5-15 Clute, Texas NMOC Data 5-28
5-16 Dallas, Texas NMOC Data 5-29
5-17 El Paso, Texas NMOC Data 5-30
5-18 Cincinnati, Ohio NMOC Data 5-31
5-19 Fort Worth, Texas NMOC Data 5-32
5-20 Indianapolis, Indiana NMOC Data 5-33
5-21 Kansas City, Missouri NMOC Data 5-34
5-22 Miami, Florida NMOC Data 5-35
5-23 Memphis, Tennessee NMOC Data 5-36
5-24 Orange, Texas NMOC Data 5-37
5-25 Philadelphia, Pennsylvania NMOC Data...... 5-38
5-26 Richmond, Virginia NMOC Data 5-39
5-27 Texas City, Texas NMOC Data 5-40
5-28 Wilkes-Barre, Pennsylvania NMOC Data 5-41
5-29 Washington, District of Columbia NMOC Data 5-42
5-30 West Palm Beach, Florida NMOC Data 5-43
v
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LIST OF TABLES
Table Title Page
1-1 Project Site Summary 1-2
1-2 Measures of Precision for Channel Pairs 1-4
1-3 Precision for Duplicate Samples 1-8
1-4 Accuracy Relative to Internal Standards 1-9
1-5 Accuracy Relative to External Audit 1-10
2-1 NMOC Site Data Summary 2-2
2-2 Invalidated and Missing Samples 2-3
2-3 Data Listing for Akron, Ohio 2-11
2-4 Data Listing for Atlanta, Georgia 2-15
2-5 Data Listing for Beaumont, Texas 2-19
2-6 Data Listing for Birmingham, Alabama 2-23
2-7 Data Listing for Charlotte, North Carolina 2-27
2-8 Data Listing for Chattanooga, Tennessee.. 2-31
2-9 Data Listing for Cincinnati, Ohio 2-35
2-10 Data Listing for Clute, Texas 2-39
2-11 Data Listing for Dallas, Texas 2-43
2-12 Data Listing for El Paso, Texas 2-47
2-13 Data Listing for Fort Worth, Texas 2-51
2-14 Data Listing for Indianapolis, Indiana 2-55
2-15 Data Listing for Kansas City, Missouri 2-59
2-16 Data Listing for Memphis, Tennessee 2-63
2-17 Data Listing for Miami, Florida 2-67
2-18 Data Listing for Philadelphia, Pennsylvania 2-69
2-19 Data Listing for Richmond, Virginia 2-73
2-20 Data Listing for Texas City, Texas 2-77
2-21 Data Listing for Washington, D.C 2-81
2-22 Data Listing for West Orange, Texas 2-85
2-23 Data Listing for West Palm Beach, Florida 2-89
2-24 Data Listing for Wilkes'Barre/Scranton, Pennsylvania 2-93
4-1 Calibration and Drift Data for Radian Channel A 4-3
4-2 Calibration and Drift Data for Radian Channel B.......... 4-5
4-3 Calibration and Drift Data for Radian Channel C 4-7
4-4 Calibration and Drift Data for Radian Channel D 4-9
4-5 Statistics for Calibration and Drift for All Radian
Channels 4-15
4-6 Statistics for Calibration and Drift for Radian
Channel A 4-16
4-7 Statistics for Calibration and Drift for Radian
Channel B 4-17
4-8 Statistics for Calibration and Drift for Radian
Channel C 4-18
4-9 Statistics for Calibration and Drift for Radian
Channel D 4-19
vi
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LIST OF TABLES (continued)
Table Title Page
4-10 Preliminary Multiple Analyses of Ambient Samples 4-23
4-11 Statistics for Preliminary Ambient Samples 4-24
4-12 Analysis of Variance for Preliminary Ambient Data 4-28
4-13 Mean NMOC Value and Differences of Repeated Analyses 4-31
4-14 Statistics for Repeated Analyses, Mean NMOC, and
NMOC Differences . 4-40
4-15 Statistics for Repeated Analyses, Two Possible
Outliers Removed 4-43
4-16 Statistics for Repeated Analyses with the Absolute
Magnitude of NMOC Differences 4-44
4-17 Statistics for Repeated Analyses, Tabulated by
Instrument Channel Pairs.... 4-45
4-18 Summary Statistics for Repeated Analyses, Precision
Estimates 4-53
4-19 Statistics for Repeated Analyses. Confidence Intervals
for Pairs and Groups of Channels 4-56
4-20 Differences of Repeated Analyses as a Function of
Mean NMOC 4-69
4-21 Summary Statistics for Linear Regression, DI Versus
NMOCBAR 4-80
4-22 Repeated Analyses on the Same Channel 4-79
4-23 Repeated Analysis Precision Radian vs. EPA GC Channels... 4-82
4-24 Analysis of Variance of Repeated Analyses of Local
Ambient Samples 4-84
4-25 Repeated Analyses, Effect of Channel of First Analysis... 4-85
4-26 Duplicate Samples Summary 4-87
4-27 Differences of Duplicate NMOC Analyses 4-93
4-28 Duplicate Sample Differences 4-95
4-29 Analysis of Duplicate Sample Difference by Site.. 4-99
4-30 Duplicate Sample Statistics 4-102
4-31 Comparison of Duplicate Sample Differences..... 4-105
4-32 Comparison of Duplicate Sample Differences... 4-106
4-33 In-House QC Samples 4-107
4-34 In-House QC Sample Differences, Sorted by Channel 4-113
4-35 In-House QC Sample Differences, Sorted by Radian ID 4-115
4-36 In-House QC Sample Differences 4-117
4-37 In-House QC Sample Differences, by Channel 4-120
4-38 Tests of Hypotheses In-House QC Sample Differences,
by Channel 4-121
4-39 In-House QC Sample Differences 4-123
4-40 In-House QC Sample Differences, ID 16 Through 35 4-124
4-41 In-House QC Sample Differences, by ID Number 4-125
4-42 In-House QC Sample Differences, Ranked by Mean
Difference of ID Number 4-130
vii
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LIST OF TABLES (continued)
Table Title Page
5-1 Statistics for Complete NMOC Data 5-3
5-2 NMOC Data Analyzed by EPA Channel E 5-7
5-3 NMOC Data Analyzed by EPA Channel GC 5-9
5-4 Standard Deviations of Radian NMOC Analyses 5-11
5-5 First-Order Autoregression for Dallas, Texas Data 5-15
5-6 First-Order Autoregression for Clute, Texas Data 5-17
5-7 First-Order Autoregression for Philadelphia Data 5-19
5-8 First-Order Autoregression for Akron, Ohio Data 5-21
5-9 Tests of the Maximum (X ) and Minimum (X) NMOC Values
as Outliers 5-44
6-1 NMOC Sampling and Analysis Stability Study 6-3
6-2 Proposed Sites for Speciation by GC/MS 6-4
6-3 Peak NMOC Values 6-7
viii
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1.0 SUMMARY
1.1 INTRODUCTION
An average of 62 ambient air samples were collected in stainless steel
canisters at each of 22 sites between June and September, 1984. These
samples were analyzed for nonmethane organic compounds by the Radian
Corporation under EFA contract. Analysis was made with a cryogenic precon-
centration, direct flame ionization detection (FID) method,* using one of
four identical analytical systems operated simultaneously. Table 1-1
identifies the sampling sites, sampling dates, and the mean and maximum
NMOC concentration for each site.
Section 2.0 presents the complete validated NMOC and sample data in
tabular and graphical form. Information on invalidated data and missing
samples are given at each site. Section 3.0 gives technical notes on the
operation of the NMOC sampling and analysis equipment as well as specific
equations for making daily calibration and analysis calculations.
Section 4.0 provides the details of the quality assurance/quality
control data analysis and summarizes data quality. Topics covered in
Section 4 include the quality of the instrument calibration and drift
measurements, the NMOC completeness measurements, and NMOC precision and
accuracy measures.
Section 5.0 presents the NMOC frequency analysis data graphically for
all the sites combined and for each site separately. The NMOC data analysis
includes investigating the nature of its potential autocorrelation.
Section 6..0 presents recommendations for additional study of the 1985
NMOC data. For future studies recommendations are also given for changes
in the sampling equipment design, in the experimental design, and in the
data analysis.
Method description available from the Measurement Standardization Branch,
Quality Assurance Division, (MD-77), EFA, Research Triangle Park, NC 27711.
1-1
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Table 1-1. Project Site Summary
First Pinal Total No.
Possible Possible Possible Mo. 1H0C. pnmC
Site Sampling Sampling Sampling Total Mo. Valid Percent
Site Location Code Date Date Days Duplicatca Samples Complete Mean Max
Akrnn. Ohio
AKOH
6/27/84
9/28/84
*8
3
68
96
0.79
2.95
Atlanta. Georeia
ATGA
7/11/84
9/28/84
58
3
55
90
0.79
*.?7
Beaumont. Texaa
BMTX
6/18/84
9/28/84
75
2
66
86
0.89
3.W
Birmingham. Alabama
BAL
7/11/84
9/28/84
58
1
56
95
0.99
Charlotte. North Carolina
CHMC
7/11/84
9/28/84
58
*
60
97
0.54
2.52
Chattanooaa. Tennessee
CHTM
7/11/84
9/28/84
58
2
*6
77
1.34
4.08
Cincinnati. Ohio
CMOH
6/27/84
9/28/84
68
1
65
94
0.93
3,??
Clute. Texas
CLTX
6/18/84
9/28/84
75
5
72
90
0.82
4f31
Dallaa. Texas
DLTX
6/18/84
9/28/84
75
*
74
94
0.97
2.57
B1 Paao. Texas
ELTX
6/18/84
9/28/84
75
*
69
87
0.93
2,*?
Port Worth. Texaa
FWTX
6/18/84
9/28/84
75
3
69
88
0.97
3,81
Indiananolis. Indiana
1NIN
7/11/84
9/28/84
58
3
59
97
0.80
2.50
Kansas City. Missouri
KCMO
6/27/84
9/28/84
68
2
68
97
0.79
2.76
Meamhis. Tennessee
MTM
7/11/84
9/28/84
58
1
52
88
1.43
4.75
Miami. Florida
MIFL
8/13/84
9/28/84
35
3
31
82
1.32
3.70
Philadelphia. Pennsylvania
PHPA
6/27/84
9/28/84
68
2
63
90
1.02
3.10
Richmond. Virginia
RVA
6/27/84
9/28/84
68
1
64
93
0.53
1.22
Texaa City. Texaa
TCTX
6/18/84
9/28/84
75
4
69
87
0.92
4.74
Uashincton. D.C.
WDC
6/27/84
9/28/84
68
3
63
89
0.81
2.93
West Orante. Texas
ORTX
6/16/84
9/28/84
75
3
71
91
0.69
3.35
West Palm Beach. Florida
WPFL
6/18/84
9/28/84
75
2
72
94
0.54
2.63
Wilkes-Barre/Scranton. PA
WBPA
6/27/84
9/28/84
68
2
63
90
0.45
0.96
TOTAL:
OVERALL AVERAGE:
1459
58
1375
62.5
90.6
0.853
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1.2 DESCRIPTION OF OVERALL DATA QUALITY
1.2.1 Completeness
The completeness of sampling at the various sites ranged from 77Z to
97Z. Valid samples numbering 1,375 (including 58 duplicate samples) were
analyzed, for an overall completeness of 90.6Z. Completeness was defined
as the number of valid samples divided by the total number of projected or
planned samples at a given site. Table 1-1 itemizes the completeness data
for each site, and for the overall project.
1.2.2 Calibration
Each analytical system was calibrated each day before samples were
analyzed, using propane standards referenced to NBS propane SRM No. 1665b.
An instrument zero was determined with cleaned, dry air at the begin-
ning of the day and at the end of the day. The zero drift, defined as the
final zero reading minus the initial zero reading, ranged from -0.016 ppmC
to +0.013 ppmC averaging -0.0002 ppmC. The operator's limit of estimation
of ppmC for the instrument was about 0.001 ppmC.
A daily calibration check following completion of the day's sample
analyses was used to monitor calibration drift during the day. Calibration
drift was calculated as the daily calibration check minus the initial daily
calibration value, and was calculated in terms of percent of the initial
calibration reading. The percent drift of the calibration reading ranged
from -10Z to 14Z, averaging about 1.5Z of the initial calibration span.
1*2.3 Analytical Precision
Analytical precision was assessed from the differences obtained from
531 repeated analyses. For a given channel pair, several measures of
precision are given in Table 1-2. The table also gives the pooled results
for all 24 channel pairs.
1-3
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Table 1-2. Measures of Precision for Channel Pairs
Min.
Max.
Pooled
Mean
Mean Difference, ppmC
-0.1904
0.2600
0.0398
Z Mean Difference
-21.0
14.4
8.48«
Standard Deviation of
Differences, ppmC
0.0000
0.2114
0.1605
Z CV (Z RSD)
0.00
22.2
16.5
sPooled Z mean difference of the absolute magnitude of Z mean difference
for each pair of channels.
The mean difference in the NMOC reading for repeated analyses for a
given channel pair ranged from -0.1904 ppmC to +0.2600 ppmC, with a pooled
average of 0.0398 ppmC. The Z mean difference for a given channel pair
ranged from -21.0Z to 14.4Z. The pooled average of the absolute magnitude
of the mean difference equaled 8.48Z of the pooled mean NMOC value. The
standard deviations of the differences for the repeated analyses are given
in ppmC for the channel pairs and an overall pooled standard deviation for
all 24 pairs of channels, the percent coefficient of variation, Z CV (or Z
RSD, the percent relative standard deviation) was taken to be the standard
deviation of the differences (of repeated analyses) divided by mean NMOC
measurement.
Thus the average difference expected for analytical error between two
repeated analyses of the same sample for a given channel pair was about
+8.5Z of the mean NMOC reading.
There appeared to be a significant difference between the NMOC value
determined on the first analysis and the value determined on the second
analysis, when the second analysis was done on a subsequent day. The
differences reported in this section, DI, are the differences between the
1-4
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first analytical determination and a subsequent determination. When
analyses were first done on a Radian channelf followed by an analysis on
the EPA Quality Assurance Division channel (Channel E), or vice versa, the
mean difference, DT, was consistently negative, indicating an increase in
measured NMOC value for the second analysis. In separate repeated analyses,
the mean difference (pooled) was equal to -0.1293 ppmC or -10.9Z. Figure
1-1 shows a comparison of the Radian analysis of repeated samples versus
the EPA QAD Channel E. An orthogonal linear regression of 120 samples
resulted in a slope of 1.032 and an intercept of -0.1891.
Based on 330 repeated NMOC analyses for which the first analysis was
done on a Radian channel and a subsequent analysis was done on EPA ESRL
channel, designated as EPA GC channel, a positive difference resulted. On
the average the Radian channel measured a higher NMOC value by +0.0374
ppmC, or about 4.1Z of the overall mean NMOC reading. The mean difference,
DT, was significantly different from zero at the 5Z level of significance.
The pooled Z coefficient of variation equaled 18.5Z. The positive mean
difference might be attributed to the fact that heavier NMOC components did
not completely elute from the regular GC column, whereas when the sample
was analyzed by the cryogenic preconcentration direct FID method, the
heavier components were measured.
Figure 1-2 shows an orthogonal linear regression of 336 repeated
analysis on the EPA GC channel versus Radian channels. The slope was 1.081
and the intercept was 0.015.
1.2.4 Overall Precision
Overall precision, including analytical variability and any variabi-
lity contributed by collection and storage of the air samples in the
canisters, wan assessed from analysis of 59 duplicate samples collected
simultaneously in duplicate canisters. One of the 59 differences (absolute
value) was substantially larger than the other 58 differences and was
identified as an outlier. The results are shown in Table 1-3.
1-5
-------
COMPARISON TO QRD (orthogonal regression)
~
' ~ ~
!~
~
i i
-L
I I
0
1 2 3
QflO analysis, ppinC
Figure 1-1
-------
COMPARISON TO GC (orthogonal regression)
5 7—
4 -
~~
0
1 2 3
GC Speciat ion, ppmC
Figure 1-2
-------
Table 1-3. Precision for Duplicate Samples.
All Duplicate Excluding
Data
Outlier
N, Number of Duplicate Sample Pairs
59
58
Mean Difference, ppmC
-0.043
-0.028
Std. Deviation of Differences, ppmC
0.166
0.117
Overall Mean NMOC, ppmC
0.83576
0.8358
Percent Difference
-5.14Z
-3 .35%
No significant concentration dependence of the differences was apparent.
These results were roughly one-half the overall analytical precision of 531
repeated analyses and indicate that the component of overall variability
contributed by canisters was small relative to the variability of the
repeated analyses between instruments and between laboratories.
1.2.5 Accuracy
Because the NMOC measurements encompass an unspecified mixture of
various compounds, absolute accuracy was undefined. Some relative indi-
cators of accurace are as follows:
Accuracy relative to propane standards was assessed with internal and
external audits. Table 1-4 gives the slopes and intercepts when plotting
measured ppmC for internal propane standards (in-house Radian QC standards)
(y) as a function of calculated standards (x). The calculated in-house
standard was computed from a propane standard referenced to NBS propane SRM
No. 1665b fed through a flow meter and diluted with a measured amount of
dried, cleaned air to the sample point. The 95Z confidence intervals are
given on the slope and intercept values. The combined data suggest that
the slope was slightly greater than 1.0000, i.e., the 95% confidence
intervals were 1.04446 and 1.01256 which indicates that there was a
positive bias in the accuracy data. The 95Z confidence intervals on the
intercept values all spanned zero, except for Channel B.
1-8
-------
Table 1-4. Accuracy Relative to Internal Standards.
8 lope
Intercept
MNOC
Mean
Error
Z
Channe1
N
(95Z Coot. Interval)
(95Z Coot. Interval)
CoefC.
Keen
Error
Std. Dev.
Error
A
21
1.02329 (±0.02474)
0.01461 (±0.02585)
0.9987
0.7629
0.0324
0.0413
4.2
B
21
1.01689 (±0.01540)
0.02045 (±0.01610)
0.9995
0.7629
0.0333
0.0265
3.5
C
15
1.02905 (±0.04208)
0.04442 (±0.07158)
0.9977
1.4313
0.0860
0.0724
5.1
D
16
1.02331 (±0.05264)
0.03655 (±0.08711)
0.9960
1.3813
0.0688
0.0892
6.5
E
9
1.02428 (±0.04173)
0.01491 (±0.06691)
0.9989
1.3533
0.0478
0.0497
3.7
Coabined
82
1.02851 (±0.01595)
0.02070 (±0.02201)
0.9981
1.0706
0.0512
0.0607
5.7
* X Error ~ (Mean Error/MNOC Mean) x 100.
-------
Table 1-4 gives further evidence that there was a positive bias in the
in-house propane QC data. Column 7 shows mean error which was positive for
all five channels (Radian Channels, A, B, C, and D and EPA Channel E) and
for the combined channel results. The percent error for the combined
results (all channels) was 5.7 which was less than for the precision
of NMOC measurements of repeated analyses.
Table 1-5 gives the data from the accuracy estimates relative to
external audits prepared by EPA Quality Assurance Division using samples
referenced to NBS propane SRM No. 1665b. The average of the absolute
magnitude of percent error was 5.8, which compared favorably with the
Radian in-house QC samples. The reference NMOC measurement was analyzed on
EPA/QAS Channel E.
Table 1-5. Accuracy Relative to External Propane Audit
RADID
Radian
Channe1
Propane
Reference
ppmC
Measured
ppmC
Error
ppmC
X Error
1722
A
0.91
0.91
0.00
0.00
1094
B
1.73
1.78
0.05
2.89
1722
B
0.91
0.93
0.02
2.20
1096
C
1.71
1.67
-0.04
-2.34
1722
C
0.91
1.01
0.10
10.99
1096
D
1.71
1.59
-0.12
-7.02
1722
D
0.91
1.05
0.14
15.38
NOTE: Average of the absolute magnitude Z error * 5.83.
1-10
-------
1.3 CONCLUSIONS
The following preliminary conclusions may be reached from this study:
• 1,375 NMOC measurements ranging from 0.06 ppmC to 4.75 ppmC,
averaging 0.853 ppmC were taken at 22 sites.
• 90.62 overall completeness of sampling was achieved.
• NMOC measurements appeared to be approximately logarithmic
normally distributed.
• NMOC measurements at Birmingham, Alabama; El Paso, Texas; Miami,
Florida; Richmond, Virginia; and Wilkes-Barre, Pennsylvania
appeared to be distributed differently than the NMOC data from
the other 17 sites.
• An overall repeatability among 4 Radian channels and 2 EPA
channels Cone of which contained a gas chromatographic column)
was 8.52. The overall coefficient of variation for the same
comparisons averaged 17Z.
• The NMOC measurements from an instrument containing a gas chroma-
tographic column averaged about 6.5Z lower than measurements with
cryogenic preconcentration and direct FID.
• NMOC measurements on 50 duplicate samples taken simultaneously
differed from one another by about 3.52, but the differences were
not significantly different from zero at the 5% level of signifi-
cance .
• Using a propane standard referenced to NBS propane SRM No. 1665b,
a combined accuracy for internal and external audits averaged
5 .82.
• For analyses made on successive days from the same sample, the
NMOC measurement appeared to increase by about 10.92.
• NMOC measurements did not appear to be first order autocorre-
lated.
1-11
-------
2.0 NMOC DATA SUMMARY
This section presents the NMOC Data Summaries. Table 2-1 presents
various statistics by site. The table repeats some of the data of Table
1-1, and provides additional information. The first six columns of Table
2-1 are self explanatory. The "percent complete" column is the ratio of
the number of valid samples divided by the total number of possible samples
(¦ the number of duplicates plus the number of possible sampling days)
multiplied by 100. The last 5 columns of the table present various statis-
tics of the NMOC data in ppmC units for a particular site* The mean
represents the arithmetic mean. The skewness indicates whether the distri-
bution has a longer right-handed tail (skewness > 0.0) or left-handed tail
(skewness <0.0). SD is the standard deviation for the site data. "Max",
"Min", and "Range" represent the maximum value, the minimum value, and the
difference between them respectively. Table 2-2 summarizes the missing or
invalid data results. Figures 2-1 through 2-22 plot the NMOC determina-
tions by site.
Tables 2-3 through 2-24 summarize the NMOC data for the 22 sites. The
data summarized in the tables include:
1.
The
site;
2.
The
calendar sample dates;
3.
The
Julian sample dates;
4.
The
weekday of the sample;
5.
The
Radian laboratory sample number;
6.
The
sample canister number;
7.
The
reported sample pressure;
8.
The
as-received sample pressure;
9.
The
Radian analysis date;
10.
The
Radian instrument (channel) code
11.
The
EPA analysis date;
12.
The
Radian NMOC value, ppmC;
13.
The
EPA, Channel E NMOC value; and
14.
The
EPA, ESRL-GC NMOC value.
2-1
-------
Table 2-1. NMOC Site Data Summary
First
Possible
Final
Possible
Total No.
Possible
No.
NMOC. oomC
Site
Code
Sampling
Date
Samp1ing
Date
Samp1ing
Days
Total No.
Duplicates
Valid
Samples
Percent
Complete
Mean
Skewness
SD
Max
Min
Range
AKOH
6/27/84
9/28/84
68
3
68
96
0.79
2.254
0.56
2.95
0.23
2.72
ATGA
7/11/84
9/28/84
58
3
55
90
0.79
2.982
0.71
4.27
0.21
4.06
BAL
7/ll/fe4
9/28/84
58
1
56
95
0.99
1.177
0.67
2.91
0.19
2.72
BMTX
6/18/84
9/28/84
75
2
66
86
0.89
1.968
0.67
3.84
0.11
3.73
CHNC
7/11/84
9/28/84
58
4
60
97
0.54
2.564
0.43
2.52
0.18
2.34
CHTN
7/11/84
9/28/84
58
2
46
77
1.34
2.015
0.70
4.08
0.52
3.56
CLTX
6/18/84
9/28/84
75
5
72
90
0.82
3.161
0.59
4.31
0.20
4.11
CNOH
6/27/84
9/28/84
68
1
65
94
0.93
2.481
0.70
3.93
0.12
3.81
DLTX
6/18/84
9/28/84
75
4
74
94
0.97
1.212
0.43
2.57
0.28
2.29
ELTX
6/18/84
9/28/84
75
4
69
87
0.93
0.983
0.45
2.45
0.28
2.17
FWTX
6/18/84
9/28/84
75
3
69
88
0.97
2.245
0.55
3.81
0.39
3.42
ININ
7/11/84
9/28/84
58
3
59
97
0.80
2.253
0.42
2.50
0.22
2.28
KCMO
6/27/84
9/28/84
68
2
68
97
0.79
2.104
0.53
2.76
0.29
2.47
MIFL
8/13/84
9/28/84
35
3
31
82
1.32
0.779
0.81
3.70
0.31
3.39
MTN
7/11/84
9/28/84
58
1
52
88
1.43
1.033
0.84
4.75
0.14
4.61
ORTX
6/18/84
9/28/84
75
3
71
91
0.69
2.764
0.46
3.35
0.13
3.22
PHPA
6/27/84
9/28/84
68
2
63
90
1.02
1.554
0.52
3.10
0.27
2.83
RVA
6/27/84
9/28/84
68
1
64
93
0.53
0.813
0.24
1.22
0.06
1.16
TCTX
6/18/84
9/28/84
75
4
69
87
0.92
3.078
0.78
4.74
0.14
4.60
WBPA
6/27/84
9/28/84
68
2
63
90
0.45
0.511
0.23
0.96
0.11
0.85
WDC
6/27/84
9/28/84
68
3
63
89
0.81
2.637
0.40
2.93
0.34
2.59
WPFL
6/18/84
9/28/84
75
2
72
94
0.54
3.392
0.34
2.63
0.17
2.46
TOTAL:
1459
58
1375
OVERALL
AVERAGE:
62.5
90.6
0.853
3.022
-------
Table 2-2. Invalidated and Missing Samples.
1) Akron, Ohio -
Sample Date
08/07/84
09/03/84
Reason Hissing
No sample received,
Holiday.
2) Altanta, Georgia -
Sample Datg
08/09/84
09/07/84
09/14/84
09/17/84
09/18/84
09/20/84
Reason Missing
Zero sample pressure*
No sample received.
Invalidated (Low sample pressure).
Zero sample pressure.
Zero sample pressure.
No sample received.
3) Birmingham, Alabama
Samole Date
07/11/84
08/23/84
09/03/84
Reason Missing
Zero sample pressure.
Zero sample pressure.
Holiday.
4) Beaumont, Texas -
Sample Date
06/18/84
06/20/84
07/04/84
07/05/84
07/06/84
07/10/84
08/27/84
09/03/84
09/04/84
09/05/84
Reason Missing
Zero sample pressure.
Zero sample pressure.
Zero sample pressure (Sampler problem)
No sample received.
No sample received.
No sample taken (Vandalism).
Zero sample pressure.
No sample taken (Power failure).
No sample received.
No sample received.
2-3
-------
Table 2-2. Invalidated and Missing Samples, (cont.)
5) Charlotte, North Carolina -
Sample Date
09/03/84
09/13/84
Reason Missing
Holiday.
Invalidated (Low sample pressure).
6)Chattanooga, Tennessee -
Sample Date
07/11/84
07/12/84
07/13/84
07/16/84
07/30/84
08/15/84
08/27/84
08/28/84
08/29/84
08/31/84
09/03/84
09/04/84
09/27/84
09/28/84
Reason Missing
No sample taken (Late starting).
No sample taken (Late starting).
No sample taken (Late starting).
Zero sample pressure.
Zero sample pressure.
Invalidated (Suspect contamination).
No sample taken.
Zero sample pressure (Sampler problem).
Invalidated (Low sample pressure).
Zero sample pressure (Sampler problem).
Holiday.
No sample received.
No sample taken (Power failure).
Zero sample pressure.
7)Clute, Texas -
Sample Date
06/18/84
06/26/84
07/05/84
07/06/84
07/09/84
08/24/84
09/05/84
09/06/84
09/24/84
Reason Missing
Zero sample pressure.
Zero sample pressure.
No sample received.
No sample received.
No sample received.
Invalidated (Sampling problem).
Invalidated (Sampling problem).
Invalidated (Sampling problem).
Invalidated (Low sample pressure).
2-4
-------
Table 2-2. Invalidated and Missing Samples, (cont.)
8) Cincinnati, Ohio -
Sample Date
07/11/84
07/18/84
09/03/84
09/05/84
Reason Missing
Zero sample pressure.
Zero sample pressure.
Holiday.
No sample taken.
9) Dallas, Texas -
Sample Date
07/04/84
07/06/84
07/07/84
09/05/84
09/14/84
09/24/84
Reason Missing
No sample collected.
No sample collected.
No sample received.
No sample received.
No sample received.
No sample received.
10) El Paso, Texas -
Sample Date
06/28/84
07/09/84
07/16/84
07/27/84
07/31/84
08/03/84
08/31/84
09/06/84
09/14/84
09/18/84
11) Fort Worth, Texas -
Sample Date
06/18/84
06/19/84
06/21/84
07/04/84
08/13/84
08/22/84
08/23/84
09/03/84
09/20/84
Reason Missing
No sample collected (Late start).
Zero sample pressure (Sampler problem)
Zero sample pressure.
Zero sample pressure.
Zero sample pressure.
Invalidated (Low sample pressure).
Zero sample pressure.
Invalidated (Low sample pressure).
No sample received.
No sample taken (Can failure).
Reason Missing
No sample taken (Late start).
No sample taken (Late start).
Zero sample pressure.
No sample received.
Zero sample pressure .
No sample taken (power failure).
No sample taken.
Holiday.
Zero sample pressure.
2-5
-------
Table 2-2. Invalidated and Missing Samples, (cont.)
12) Indianapolis, Indiana -
Sample Date Reason Missing
07/11/84 No sample taken (Late start).
08/14/84 Invalidated (Low sample pressure).
13) Kansas City, Missouri
Sample Date
07/04/84
09/03/84
Reason Missing
No sample received.
Holiday.
14) Miami, Florida -
Sample Date
08/13/84
08/14/84
08/15/84
08/31/84
09/03/84
09/20/84
09/27/84
09/28/84
Reason Missing
Invalidated (Low sample pressure).
No sample received.
No sample received.
Low sample pressure (Can problem).
Holiday.
Zero sample pressure (Can problem)
No sample received.
No sample received.
15) Memphis, Tennessee
Sample Date
Reason Missing
07/11/84
07/12/84
07/13/84
07/16/84
08/02/84
08/15/84
08/17/84
09/03/84
No sample received.
Zero sample pressure.
Zero sample pressure.
Zero sample pressure.
Zero sample pressure.
Invalidated (Suspect contamination)
Zero sample pressure.
Holiday.
2-6
-------
Table 2-2. Invalidated and Missing Samples, (cont.)
16) West Orange, Texas -
Sample Date
06/18/84
06/25/84
07/03/84
07/05/84
07/10/84
09/03/84
09/04/84
09/12/84
Reason Missine
Zero sample pressure.
No sample received.
Zero sample pressure.
No sample received.
No sample received.
Zero sample pressure (Sampling problem)
No sample received.
Zero sample pressure.
17) Philadelphia, Pennsylvania -
Sample Date Reason Missing
06/27/84
07/04/84
08/23/84
09/03/84
09/07/84
09/11/84
09/18/84
No sample taken (Late start).
No sample received.
Invalidated (Low sample pressure)
Holiday.
No sample taken (Can problem).
No sample taken (Sampler problem)
Zero sample pressure.
18) Richmond, Virginia -
Sample Date
06/28/84
07/11/84
09/03/84
09/10/84
09/27/84
Reason Missing
No sample taken (Late start).
Invalidated (Sampling error).
Holiday.
No sample taken (Can problem)
No sample received.
2-7
-------
Table 2-2. Invalidated and Missing Samples, (cont.)
19) Texas City, Texas -
Sample Date
06/18/84
06/19/84
07/05/84
07/06/84
07/09/84
07/25/84
08/30/84
09/05/84
09/06/84
09/12/84
09/26/84
Reason Missing
Zero sample pressure.
Zero sample pressure.
No sample received.
Zero sample pressure (Sampler problem).
No sample received.
No sample received.
Invalidated (Sampler problem).
Invalidated (Low sample pressure).
Zero sample pressure.
Zero sample pressure (Sampling problem)
Zero sample pressure.
20) Wilkes-Barre, Pennsylvania -
Sample Date
07/04/84
07/09/84
07/24/84
08/31/84
09/03/84
09/13/84
09/26/84
Reason Missing
No sample received.
No sample received.
No sample received.
Invalidated (Can problem).
Holiday.
No sample taken (Can problem).
Invalidated (Low sample pressure)
21) Washington, D.C. -
Sample Date
06/27/84
07/05/84
$8/16/84
08/17/84
09/03/84
09/25/84
09/28/84
Reason Missing
Zero sample pressure.
No sample received.
Invalidated (Low sample pressure)
Invalidated (Low sample pressure),
Holiday.
Zero sample pressure.
Zero sample pressure.
2-8
-------
Table 2-2. Invalidated and Missing Samples, (cont.)
22) West Palm Beach, Florida -
Samp1p Date Reason Missing
06/22/84 No sample received.
06/29/84 Zero sample pressure.
07/04/84 No sample received.
09/03/84 Holiday.
09/26/84 Zero sample pressure.
2-9
-------
AKRON, OHIO
1984 SUMMER NMOC STUDY
Figure 2-1. Plot of NMOC Data for Akron, Ohio.
-------
Table 2-3. Data Listing for Akron, Ohio.
1984 SUMNER NHOC STUDY - AKRON
, OHIO
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
NHOC
NHOC
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NHOC
ANALYSIS
PPMC
PPMC
PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NHOC
QAD
ESRL-GC
SBSSCBS8 SSSSSSS3
BBSBBSSS SSS:
=«=====
: = = =
SSCSS SSSSSSSSSS BSBSSBBS SSSSSSSSS
sees s:
ESS SSSSSSSS
SSBBBESS sssssssss ksssssbss
06/27/84
179
WEDNESDAY
1074
72
18.0
18.0
07/02/84
B
0.51
06/28/84
180
THURSDAY
1073
74
11.0
10.5
07/02/84
c
07/10/84
0.72
0.72
06/29/84
181
PREPAY
1090
101
15.8
15.5
07/03/84
B
0.84
07/02/84
184
MONDAY
1113
123
12.8
12.5
07/05/84
B
07/10/84
1.94
1.80
07/03/84
185
TUESDAY
1116
37
12.5
12.5
07/06/84
D
07/10/84
0.83
0.85
07/05/84
187
THURSDAY
1135
12
10.5
10.0
07/09/84
B
07/10/84
0.63
1.12
07/06/84
188
FRIDAY
1153
19
14.8
14.5
07/10/84
D
07/13/84
0.29
0.38
07/09/84
191
MONDAY
1175
26
12.0
11.8
07/11/84
A
0.60
07/10/84
192
TUESDAY
1184
60
13.0
13.5
07/12/84
A
07/13/84
0.66
0.76
07/11/84
193
WEDNESDAY
1209
46
13.0
12.9
07/13/84
A
07/17/B4
0.47
0.43
07/12/84
194
THURSDAY
1226
115
12.0
12.0
07/16/84
c
0.56
07/13/84
195
PRIDAY
1246
173
14.5
14.5
07/17/84
c
1.02
07/16/84
198
MONDAY
1261
139
12.5
12.0
07/18/84
B
0.63
07/17/84
199
TUESDAY
1295
162
16.0
16.0
07/19/84
B
0.76
07/18/84
200
WEDNESDAY
1324
18
15.5
15.0
07/21/84
c
07/24/84
0.43
0.38
07/19/84
201
THURSDAY
1337
100
16.0
16.5
07/23/84
c
0.71
07/20/84
202
FRIDAY
1349
40
15.5
16.5
07/24/84
B
0.47
07/23/84
205
MONDAY
1388
30
16.2
15.9
07/25/84
A
0.74
07/24/84
206
TUESDAY
1402
50
15.5
15.0
07/26/84
A
07/27/84
0.44
0.40
07/25/84
207
WEDNESDAY
1425
170
16.5
17.2
07/27/84
B
0.34
07/26/84
208
THURSDAY
1448
64
17.5
17.0
07/30/84
A
1.06
07/26/84
208
THURSDAY
1447
102
17.5
16.9
07/30/84
c
07/31/84
1.11
1.35
07/27/84
209
PRIDAY
1472
169
15.5
16.0
07/31/84
D
0.43
07/30/84
212
MONDAY
1488
197
16.5
16.8
08/01/84
A
1.41
07/31/84
213
TUESDAY
1513
98
16.0
16.1
08/02/84
c
1.43
08/01/84
214
WEDNESDAY
1555
27
16.5
16.4
08/06/84
c
0.98
08/02/84
215
THURSDAY
1563
77
16.0
16.0
08/06/84
A
0.60
08/03/84
216
FRIDAY
1593
139
15.5
15.5
08/08/84
c
08/08/84
0.52
0.45
08/06/84
219
MONDAY
1618
97
16.0
15.8
08/08/84
A
08/09/84
0.70
0.59
08/08/84
221
WEDNESDAY
1652
106
16.0
16.0
08/13/84
c
0.68
08/09/84
222
THURSDAY
1683
162
16.0
16.0
08/13/84
B
0.53
08/10/84
223
FRIDAY
1697
78
15.5
14.9
08/15/84
A
0.62
08/13/84
226
MONDAY
1723
65
16.0
15.0
08/15/84
D
08/20/84
0.62
0.47
08/14/84
227
TUESDAY
1749
70
15.5
15.5
08/16/84
D
0.94
08/15/84
228
WEDNESDAY
1775
63
17.0
17.0
08/17/84
D
2.45
08/16/84
229
THURSDAY
1793
189
16.0
16.2
08/20/84
D
0.83
08/17/84
230
PRIDAY
1816
151
16.0
15.2
08/21/84
C
1.61
08/20/84
233
MONDAY
1839
178
17.0
17.1
08/22/84
A
0.56
08/21/84
234
TUESDAY
1863
198
16.5
17.5
08/24/84
D
08/24/84
0.88
1.25
08/22/84
235
WEDNESDAY
1894
197
16.5
16.8
08/27/84
C
0.60
08/23/84
236
THURSDAY
1918
15
16.0
16.0
08/28/84
B
08/29/84
0.53
0.49
-------
Table 2-3. Data Listing for Akron, Ohio, (cont.)
19ft4 SUMMER NMOC STUDY - AKRON, OHIO
to
I
i->
to
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN 1
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC i
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAKPLED
SAMPLED
RECEIVED
DATE
INST I
CPCBSECB BCPSBCBS BSBSKBeB BSSSSSSS XCC
sssbecsv kskkkssk kck=hcce
08/24/84
237
FRIDAY
1938
40
16.0
16.5
08/28/84
C
08/27/84
240
MONDAY
1953
188
18.0
16.3
08/29/84
C
08/28/84
241
TUESDAY
1986
82
16.0
16.0
08/30/84
A
08/29/84
242
WEDNEfjpAY
2008
24
16.0
16.2
08/31/84
B
08/30/84
243
THURSDAY
2014
138
16.0
16.1
09/04/84
B
08/31/84
244
PRIDAY
2035
157
0.0
16.5
09/05/84
B
09/04/84
248
TUESDAY
2066
73
17.0
16.9
09/06/84
C
09/05/84
249
WEDNESDAY
2096
94
16.5
16.5
09/07/84
D
09/06/84
250
THURSDAY
2120
79
18.0
18.0
09/10/84
C
09/06/84
250
THURSDAY
2119
9
18.0
19.5
09/10/84
C
09/07/84
251
PRIDAY
2159
149
16.5
17.5
09/11/84
D
09/10/84
254
MONDAY
2178
97
17.0
17.6
09/12/84
D
09/11/84
255
TUESDAY
2201
83
16.5
17.0
09/13/84
C
09/12/84
256
WEDNESDAY
2226
28
16.0
17.0
09/14/84
A
09/13/84
257
THURSDAY
2230
65
16.5
17.0
09/17/84
C
09/14/84
258
PRIDAY
2258
101
16.0
16.1
09/18/84
B
09/17/84
261
MONDAY
2289
6
17.5
18.0
09/19/84
D
09/18/84
262
TUESDAY
2299
149
16.5
17.0
09/20/84
C
09/18/84
262
TUESDAY
2298
18
16.5
17.5
09/20/84
B i
09/19/84
263
WEDNESDAY
2322
82
16.0
16.5
09/21/84
A
09/20/84
264
THURSDAY
2348
26
16.5
16.6
09/24/84
B
09/21/84
265
PRIDAY
2382
158
16.5
14.9
09/26/84
D
09/24/84
268
MONDAY
2408
28
16.5
16.5
09/27/84
A
09/25/84
269.
TUESDAY
2429
101
14.5
14.5
09/28/84
A
09/26/84
270
WEDNESDAY
2439
27
16.0
16.1
10/01/84
B
09/27/84
271
THURSDAY
2467
139
17.0
17.0
10/01/84
C
09/28/84
272
FRIDAY
2489
91
16.0
16.1
10/02/84
D
EPA RADIAN NMOC
ANALYSIS PPMC PPMC
DATE NMOC QAD
NMOC
PPMC
ESRL-GC
0.35
1.13
0.61
0.25
09/05/84 0.42
0.51
0.50
0.66
2.95
2.77
09/12/84 0155
0.30
0.42
09/15/84 0.50
0.50
0.35
2.?5
0.79
09/21/84 0.77
0.65
0.55
1.24
0.46
0.28
0.23 0.32
0.41
0.38
10/01/84
10/03/84
0.42
0.45
0.52
0.71
0.29
-------
2-13
-------
I\J
I
Q
2E
fi:
o
o
5.U
4.0
3.0
,U
1 .0
U.O
1 70
ATLANTA, GEORGIA
1984- SUMMER NMOC STUDY
]
t
? *
f 1 1 w
'I
1
"Mil ^ y k n \
Lj \ik Js v i
I
dP
1 9 G
210 2-30
JULIAN DATE
250
270
Figure 2-2. Plot of NMOC Data for Atlanta, Georgia.
-------
Table 2-4. Data Listing for Atlanta, Georgia.
1984 SUMMER NHOC STUDY - ATLANTA, GEORIGA
N
I
U1
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NHOC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
kkbkcxss cccsksea «c«MKeB mi
BCCS.ZC BKC
Kwsia BaccaBBt: bbbkscbb cbbcccce kxkcki
*8*1
07/11/84
193
WEDNESDAY
1194
141
11.5
11.5
07/12/84
C
07/12/84
194
THURSDAY
1213
113
12.0
12.0
07/13/84
D
07/13/84
195
FRIDAY
1231
172
12.5
12.5
07/16/84
A
07/16/84
198
MONDAY
1256
10
12.0
12.0
07/17/84
B
07/17/84
199
TUESDAY
1277
175
12.0
12.0
07/18/84
D
07/18/84
200
WEDNESDAY
1310
195
11.5
12.0
07/20/84
A
07/19/84
201
THURSDAY
1357
31
13.0
12.8
07/24/84
D
07/20/84
202
PRIDAY
1355
47
12.5
12.5
07/24/84
A
07/23/84
205
MONDAY
1369
71
12.5
13.0
07/25/84
B
07/24/84
206
TUESDAY
1395
70
12.0
12.5
07/26/84
B
07/25/84
207
WEDNESDAY
1430
133
11.5
11.5
07/27/84
A
07/26/84
208
THURSDAY
1473
158
13.0
12.9
08/01/84
A
07/27/84
209
PRIDAY
1455
32
14.0
13.5
07/31/84
C
07/27/84
209
PRIDAY
1456
91
14.0
13.9
07/31/84
B
07/30/84
212
MOM)AY
1494
12
12.0
12.5
08/01/84
B
07/31/84
213
TUESDAY
1505
11
12.0
11.5
08/02/84
A
08/01/84
214
WEDNESDAY
1544
60
11.5
11.5
08/06/84
C
08/02/84
215
THURSDAY
1574
189
12.5
12.2
08/07/84
C
08/03/84
216
PRIDAY
1586
50
12.5
12.9
08/07/84
D
08/06/84
219
NONDAY
1613
170
12.5
13.5
08/08/84
C
08/07/84
220
TUESDAY
1624
94
12.0
12.2
08/09/84
C
08/08/84
221
WEDNESDAY
1656
10
12.0
11.5
08/13/84
A
08/10/84
223
PRIDAY
1699
9
12.5
12.5
08/15/84
A
08/13/84
226
MONDAY
1757
33
12.5
12.0
08/17/84
C
08/14/84
227
TUESDAY
1753
168
12.5
12.0
08/17/84
c
08/15/84
228
WEDNESDAY
1766
139
12.0
11.5
08/17/84
E
08/16/84
229
THURSDAY
1787
82
12.5
13.6
08/20/84
D
08/17/84
230
PRIDAY
1818
35
12.5
12.2
08/21/84
D
08/20/84
233
MONDAY
1834
32
12.5
12.1
08/22/84
B
08/21/84
234
TUESDAY
1856
174
12.0
12.0
08/24/84
C
08/22/84
235
WEDNESDAY
1879
101
12.5
12.1
08/27/84
B
08/23/84
236
THURSDAY
1906
89
14.0
14.0
08/28/84
A
08/23/84
236
THURSDAY
1905
21
14.0
13.8
08/28/84
C
08/24/84
237
FRIDAY
1924
159
12.5
12.6
08/28/84
A
08/27/84
240
MONDAY
1964
149
12.5
12.0
08/29/84
B
08/28/84
241
TUESDAY
1978
141
12.0
12.5
08/30/84
C
08/29/84
242
WEDNESDAY
2007
19
12.0
11.8
08/31/84
A
08/30/84
243
THURSDAY
2024
185
13.0
12.5
09/04/84
D
08/31/84
244
PRIDAY
2054
51
12.5
11.5
09/06/84
C
09/03/84
247
MONDAY
2078
45
12.5
12.4
09/06/84
D
09/04/84
248
TUESDAY
2079
27
12.5
12.0
09/07/84
C
EPA RADIAN NHOC
ANALYSIS PPMC PPHC
DATE NHOC QAD
07/19/84
07/24/84
07/25/84
08/03/84
08/01/84
08/10/84
08/13/84
08/20/84
08/20/84
08/25/84
09/07/84
0.78
0.77
0.73
0.66
0.78
0.66
0.95
0.35
0.23
0.37
0.70
1.42
0.66
0.58
0.33
0.32
0.87
0.3^
0.71
1.34
0.37
0.76
0.39
0.60
0.60
1.64
0.58
0.53
0.50
0.35
0.54
0.40
0.51
0.93
0.45
0.73
0.68
0.26
0.60
0.36
0.33
NIIOC
PPMC
ESRL-GC
0.61
0.69
1.12
0.70
0.84
1.48
0.28
0.37
0.76
1.42
0.35
0.51
0.48
-------
Table 2-4. Data Listing for Atlanta, Georgia. (cont.)
1984 SUMMER NMOC STUDY - ATLANTA, GEORIGA
JULIAN CAN (PSIG) (PSIG) RADIAN RADIAN EPA RADIAN NMOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPMC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC CAD
sacessss ssssesss sbbbsecsb ¦cbsb&cb sscsfbbs Hccesse eebibbcb sssssssss ¦cbbbbbb bbbbbbbs asfcss
09/C5/84
249
WEDNESDAY
2102
144
12.5
13.1
09/07/84
B
09/10/84
0.38
09/06/84
250
THURSDAY
2135
113
13.0
13.0
09/10/84
D
1.86
09/10/84
254
MONDAY
2171
155
15.0
15.0
09/12/84
B
0.50
09/10/84
254
MdNDAY'
2170
67
15.0
15.0
09/12/84
D
0.48
09/11/84
255
TUESDAY
2196
43
12.5
13.0
09/13/84
D
1.45
09/12/84
256
WEDNESDAY
2214
138
12.5
13.2
09/14/84
D
0.47
09/13/84
257
THURSDAY
2243
186
13.0
12.9
09/18/84
B
2.25
09/19/84
263
WEDNESDAY
2328
185
12.5
12.5
09/21/84
B
0.37
09/21/84
265
FRIDAY
2363
56
13.5
11.5
09/25/84
A
09/26/84
3.09
09/24/84
268
MONDAY
2397
114
0.0
12.1
09/27/84
B
0.65
09/25/84
269
TUESDAY
2421
111
12.5
12.5
09/28/84
A
1.44
09/26/84
270
WEDNESDAY
2448
81
13.5
11.5
10/01/84
D
10/01/84
4.27
09/27/84
271
THURSDAY
2468
9
13.5
13.4
10/01/84
C
10/02/84
0.21
09/28/84
272
FRIDAY
2500
95
13.0
10.5
10/03/84
C
0.24
-------
2-17
-------
BEAUMONT, TEXAS
1984 SUMMER NMOC STUDY
¦JULIAN DATE
Figure 2—3. Plot of NMOC Data for Beaumont, Texas.
-------
Table 2-5. Data Listing for Beaumont, Texas.
1984 SUMNER NMOC STUDY - BEAUMONT, TEXAS
ro
I
VP
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
NMOC
NMOC
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
PPMC
PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
QAD
ESRL-GC
BBBBBSBS cecccccc sceccpsc cc;
=====:
C CCS
===~
S BSSBBSSi
= ========
s Bsssssss: &V9SS:
BSC CSSSSCSS KBSSSCS& SBSSSSBBS
ECSCECC:
06/19/84
171
TUESDAY
1011
8
17.5
17.0
06/22/84
D 06/25/84
1.67
1.89
06/21/84
173
THURSDAY
1031
31
20.5
20.5
06/25/84
D 06/26/84
1.01
1.14
06/22/84
174
FRIDAY
1046
40
16.5
16.5
06/27/84
C 06/28/84
1.12
0.80
06/25/84
177
MQND^Y,
1052
51
18.5
18.0
06/28/84
D 06/29/84
2.75
2.37
06/26/84
178
TUESDAY
1050
56
18.5
17.0
06/28/84
C 06/29/84
1.47
1.13
06/27/84
179
WEDNESDAY
1061
71
16.0
15.5
06/29/81
A 07/02/84
0.66
0.75
06/28/84
180
THURSDAY
1076
88
19.0
18.5
07/02/84
B
0.65
06/29/84
181
FRIDAY
1108
105
16.5
17 .5
07/05/84
D
2.86
07/02/84
184
MONDAY
1102
109
20.0
20.0
07/05/84
D
1.02
07/03/84
185
TUESDAY
1121
139
17.5
17.2
07/06/84
C
1.41
07/09/84
191
MONDAY
1191
48
19.0
18.5
07/12/84
B
0.67
07/11/84
193
WEDNESDAY
1216
90
20.5
20.0
07/16/84
B 07/17/84
0.61
0.63
07/12/84
194
THURSDAY
1264
91
19.5
20.0
07/18/84
B 07/23/84
0.62
0.59
07/13/84
195
PRIDAY
1278
159
18.5
18.0
07/18/84
B
0.74
07/16/84
198
MONDAY
1274
102
23.0
22.9
07/18/84
C 07/23/84
0.46
0.41
07/17/84
199
TUESDAY
1303
176
24.0
23.5
07/19/84
B
0.49
07/18/84
200
WEDNESDAY
1327
19
19.0
22.5
07/21/84
D
0.30
07/19/84
201
THURSDAY
1346
7
19.8
19.5
07/24/84
A
1.36
07/20/84
202
FRIDAY
1358
60
21.0
16.7
07/24/84
D
0.51
07/23/84
205
MONDAY
1413
168
23.0
22.0
07/26/84
B
0.76
07/24/84
206
TUESDAY
1399
157
22.0
22.0
07/26/84
C
0.99
07/25/84
207
WEDNESDAY
1444
187
24.0
23.5
07/30/84
B
0.82
07/26/84
208
THURSDAY
1458
106
19.0
18.0
08/01/84
B 08/03/84
1.17
1.15
07/27/84
209
FRIDAY
1478
92
24.0
23.0
08/01/84
C
0.91
07/30/81
212
MONDAY
1498
100
18.5
18.0
08/01/84
D
0.51
07/31/84
213
TUESDAY
1531
76
18.5
18.2
08/06/84
D
0.87
08/01/84
214
WEDNESDAY
1535
127
24.0
23.9
08/06/84
A
0.40
08/01/84
214
WEDNESDAY
1534
109
24.5
24.8
08/06/84
C
0.51
08/02/84
215
THURSDAY
1568
1
19.0
13.0
08/07/84
C
2.20
08/03/84
216
PRIDAY
1616
110
17.0
17.0
08/08/84
B 08/09/84
1.13
1.00
08/06/84
219
MONDAY
1639
61
23.5
23.5
08/09/84
C
0.88
08/07/84
220
TUESDAY
1638
62
25.0
24.1
08/09/84
D
1.35
08/08/84
221
WEDNESDAY
1671
183
18.0
17.7
08/13/84
D 08/14/84
1.73
1.60
08/09/84
222
THURSDAY
1677
29
25.0
23.5
08/13/84
B
1.31
08/10/84
223
FRIDAY
1717
14
0.0
16.5
08/15/84
B
0.99
08/13/84
226
MONDAY
1710
42
0.0
17.8
08/15/84
D
1.40
08/14/84
227
TUESDAY
1747
30
19.0
18.5
08/16/84
D
1.14
08/16/84
229
THURSDAY
1783
129
29.0
17.0
08/20/84
D
0.80
08/17/84
230
FRIDAY
1813
22
25.0
23.5
08/21/84
B
0.67
08/20/84
233
MONDAY
1866
195
18.0
17.5
08/24/84
D
0.28
08/21/84
234
TUESDAY
1872
180
18.5
18.5
08/24/84
B 08/25/84
3.84
3.75
-------
Table 2-5. Data Listing for Beaumont, Texas. (cont.)
1984 SUMMER WKOC STUDY - DEAUMONT, TEXAS
JULIAN CAN (PSIC) (PSIG) RADIAN RADIAN EPA RADIAN NNOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPMC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC QAD
08/22/84
235
WEDNESDAY
1882
66
17.5
17.0
08/27/84
A
1.26
08/23/84
236
THURSDAY
1932
124
18.5
18.0
08/28/84
C
0.76
08/24/84
237
FRIDAY
1934
189
24.0
23.9
08/29/84
D
0.39
08/28/84
241
TUESDAY
2050
69
24.0
23.5
09/06/84
A
09/07/84
0.69
08/29/84
242
WEDNESDAY
2046
104
17.0
16.8
09/06/84
C
0.52
08/30/84
243
THURSDAY
2058
93
25.5
24.4
09/06/84
C
0.76
08/31/84
244
FRIDAY
2056
17
24.0
23.5
09/05/84
B
0.49
09/06/84
250
THURSDAY
2115
143
18.5
18.0
09/10/84
A
09/11/84
0.52
09/07/84
251
FRIDAY
2157
195
17.5
17.5
09/11/84
D
0.47
09/10/84
254
MONDAY
2216
123
23.0
23.5
09/14/84
A
0.22
09/11/84
255
TUESDAY
2225
55
21.0
15.0
09/14/84
A
1.18
09/12/84
256
WEDNESDAY
2275
93
18.0
17.0
09/19/84
A
0.35
09/13/84
257
THURSDAY
2292
182
21.5
21.5
09/19/84
D
1.39
09/13/84
257
THURSDAY
2291
173
21.5
18.0
09/19/84
C
1.67
09/14/84
258
FRIDAY
2278
139
21.5
19.5
09/19/84
D
09/20/84
0.11
09/17/84
261
MONDAY
22S4
9
20.0
19.0
09/19/84
B
09/20/84
0.11
09/18/84
262
TUESDAY
2341
147
20.5
20.9
09/21/84
C
0.50
09/19/84
263
WEDNESDAY
2336
91
21.0
21.0
09/21/84
e
0.26
09/20/84
264
THURSDAY
2370
21
20.0
17.6
09/26/84
C
0.?7
09/21/84
265
FRIDAY
2377
135
21.0
18.0
09/25/84
D
0.21
09/24/84
268
MONDAY
2411
172
20.5
17.9
09/27/84
E
0.19
09/25/84
269
TUESDAY
2449
182
21.0
18.0
10/01/84
C
10/01/84
0.32
09/26/84
270
WEDNESDAY
2476
185
22.5
22.1
10/02/84
D
0.47
09/27/84
271
THURSDAY
2471
8
21.0
20.5
10/02/84
A
10/03/84
0.48
09/28/84
272
FRIDAY
2485
174
21.0
19.6
10/02/84
D
0.19
-------
2-21
-------
BIRMINGHAM, ALABAMA
198+ SUMMER NMOC STUDY
Figure 2-4. Plot of NMOG Data for Birmingham, Alabama.
-------
Table 2-6. Data Listing for Birmingham, Alabama.
1964 SUMMER NMOC STUDY - BIRMINGHAM, ALABAMA
to
to
u>
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC ;
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC i
csss&sss bsbsccb:
B CKBSCBSS BS;
======
= rce
= = = = ;
E KSSSSSSS
= ========
= =====:
SSI
C BBBSSesS SSSSSSSZSS
07/12/84
194
THURSDAY
1212
82
18.0
18.5
07/13/84
A
07/17/84
0.54
07/13/84
195
FRIDAY
1249
151
11.9
12.0
07/17/84
A 07/19/84
0.94
07/16/84
198
MONDAY
1238
140
12.2
12.5
07/17/84
D
1.34
07/17/84
199
TUESDAY '
1280
120
12.1
12.5
07/18/84
A
1.05
07/18/84
200
WEDNESDAY
1315
156
12.2
12.5
07/20/84
A
07/24/84
1.14
07/19/84
201
THURSDAY
1333
51
13.0
13.0
07/23/84
D
1.86
07/20/84
202
FRIDAY
1362
89
13.0
13.0
07/24/84
B
1.09
07/23/84
205
MONDAY
1379
131
13.2
13.0
07/25/84
D
0.61
07/24/84
206
TUESDAY
1392
172
12.8
13.5
07/26/84
C
0.68
07/25/84
207
WEDNESDAY
1418
152
12.7
13.0
07/27/84
B
1.46
07/26/84
208
THURSDAY
1434
10
12.8
12.0
07/30/84
A
07/31/84
1.23
07/27/84
209
FRIDAY
1453
132
11.9
12.0
07/31/84
B
0.68
07/30/84
212
MONDAY
1493
137
13.0
13.1
08/01/84
D
0.53
07/31/84
213
TUESDAY
1523
4
12.8
12.5
08/02/84
C
08/03/84
0.79
08/01/84
214
WEDNESDAY
1541
59
12.8
12.5
08/06/84
D
0.40
08/02/84
215
THURSDAY
1572
99
13.1
12.5
08/07/84
D
0.65
08/03/84
216
FRIDAY
1643
35
9.8
9.5
08/09/84
B
0.50
08/03/84
216
FRIDAY
1642
188
9.8
9.5
08/09/84
B
0.56
08/06/84
219
MONDAY
1610
82
12.8
13.0
08/08/84
C
08/09/84
0.55
08/07/84
220
TUESDAY
1628
184
8.2
9.0
08/09/84
A
0.43
08/08/84
221
WEDNESDAY
1651
92
12.1
12.0
08/13/84
B
0.19
08/09/84
222
THURSDAY
1680
12
12.9
11.5
08/13/84
A
0.48
08/10/84
223
FRIDAY
1707
4
13.1
11.8
08/14/84
D
1.86
08/13/84
226
MONDAY
1728
53
12.5
13.7
08/15/84
C
0.46
08/14/84
227
TUESDAY
1750
144
12.5
12.9
08/16/84
A
0.67
08/15/84
228
WEDNESDAY
1758
95
12.2
12.5
08/17/84
B
0.43
08/16/84
229
THURSDAY
1801
123
13.0
13.1
08/20/84
D
2.49
08/17/84
230
FRIDAY
1819
193
11.8
11.9
08/21/84
C
08/22/84
0.74
08/20/84
233
MONDAY
1831
92
12.2
13.0
08/22/84
C
1.42
08/21/84
234
TUESDAY
1870
157
13.2
13.5
08/24/84
D
08/25/84
0.41
08/22/84
235
WEDNESDAY
1878
4
13.2
10.5
08/27/84
D
08/28/84
1.83
08/24/84
237
FRIDAY
1939
127
11 .5
11.5
08/28/84
D
0.93
08/27/84
240
MONDAY
1951
18
11.8
11.7
08/29/84
D
0.38
08/28/84
241
TUESDAY
1974
80
13.0
13.6
08/30/84
C
0.30
08/29/84
242
WEDNESDAY
2011
25
12.3
12.5
08/31/84
A
0.53
08/30/84
243
THURSDAY
2018
26
13.0
13.0
09/04/84
C
0.58
08/31/84
244
FRIDAY
2039
20
11.6
11.5
09/06/84
D
09/06/84
1.16
09/04/84
248
TUESDAY
2088
88
13.0
13.0
09/06/84
C
0.50
09/05/84
249
WEDNESDAY
2104
84
15.2
13.5
09/07/84
C
1.30
09/06/84
250
THURSDAY
2128
64
13.6
14.0
09/10/84
A
09/11/84
0.91
09/07/84
251
FRIDAY
2153
82
12.3
13.1
09/11/84
A
0.66
NMOC
PPHC
QAD
NMOC
PPHC
ESRL-GC
0.52
1.63
0.94
1.50
0.59
0.53
1.82
1.12
0.68
0.43
1.96
-------
Table 2-6. Data Listing for Birmingham, Alabama. (cont.)
1984 SUMMER NMOC
STUDY - BIRMINGHAM
, ALABAMA
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
NMOC
NMOC
DATE
DATE
SAMPLED
RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
PPMC
PPMC
SAMPLED
SAMPLED
WEEKDAY
LAB ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
QAD
ESRL-GC
=======:
s csesess,
S SBMBCBC
sesssss:
s = = =
ccc=:
1 BSBCSB&:
S CCSBSSSB SSCSSSSS
= SSSS SSS2
= ssssess:
= =======
= svsssssss
09/10/84
254
MONDAY
2172
130
12.8
13.0
09/12/84
A
0.46
09/11/84
255
TUESDAY
2204
185
13.2
14.0
09/13/84
D
2.30
09/12/84
256
WEDNESDAY
2216
175
12.7
13.5
09/14/84
B
1.99
09/13/84
257
THURSDAY
2241
124
13.1
13.0
09/18/84
C
09/19/84
2.21
2.03
09/14/84
258
PRIDAY
2255
63
12.0
12.0
09/18/84
C
2.91
09/17/84
261
MONDAY
2281
4
13.0
13.2
09/19/84
C
09/20/84
0.73
0.53
09/18/84
262
TUESDAY
2302
11
13.8
14.0
09/20/84
A
0.39
09/19/84
263
WEDNESDAY
2321
152
13.5
13.3
09/21/84
B
0.83
09/20/84
264
THURSDAY
2359
142
13.2
13.1
09/24/84
A
2.44
09/21/84
265
FRIDAY
2372
23
12.8
13.5
09/25/84
C
1.48
09/24/84
268
MONDAY
2405
126
13.7
13.0
09/26/84
B
09/27/84
0.25
0.76
09/25/84
269
TUESDAY
2415
92
13.2
13.0
09/27/84
D
0.41
09/26/84
270
WEDNESDAY
2435
93
12.4
12.0
09/28/84
A
2.50
09/27/84
271
THURSDAY
2462
96
13.2
13.0
10/02/84
A
10/02/84
0.75
0.90
09/28/84
272
FRIDAY
2491
51
12.1
12.0
10/02/84
B
0.64
to
I
-------
2-25
-------
Is>
I
CT>
u
2
8:
O
o
5.0
4-.0
3.0
2.0
1 .0
0.0
170
CHARLOTTE, NORTH CAROLINA
1984 SUMMER NMOC STUDY
1 1
i
I
P
1 90
210 230
JULIAN DATE
250
270
titer* 2-5. Not tl IHOC Itti for Cktrlotti, forth Ctttlini.
-------
Table 2-7. Data Listing for Charlotte, Worth Carolina.
1*84 SOWER NNOC STUDY - CHARLOTTE, NORTB CAROLINA
DATE
JULIAN
DATE
SAMPLED
SAMPLED
WEEKDAY
RADIAN
LAB ID
CAN (PSIG) (PSIG) RADIAN RADIAN
NO. PRESSORS PRESSORS ANALYSIS NNOC
SAMPLED SAMPLED RECEIVED DATS INST
EPA RADIAN NNOC NNOC
ANALYSIS PPNC PPMC PPNC
DATE NNOC QAD ESRL-GC
I
M
-»4
07/11/94
•7/12/<4
•7/13/94
07/19/94
97/19/94
97/17/94
97/1V94
97/19/94
97/29/94
07/23/94
07/24/94
97/25/94
07/29/94
07/27/94
M
M/ll/M
*4/9 V*4
09/01/94
oo/otm
•9/17/94
09/98/94
99/19/94
99/13/84
08/iV»4
838
0M/22/94
09/23/94
09/24/94
99/27/94
09/39/94
99/29/94
09/39/94
09/31/94
193 WEDNESDAY
194 TNORSDAY
195 PRIDAY
199 HOMDAY
199 MOMMY'
199 tVUMY
209 WEDNESDAY
291 TNOBflMY
292 PRIDAY
205 MOMMY
209 TUESDAY
297 WEDNESDAY
209 THUR8DAY
209 FRIDAY
212 NOWAY
83 TOESMY
4 WMHOAY
213 nmumna
213 THURSDAY
219 PRIDAY
219 MONDAY
229 muui
221 MMHDftl
222 TWMSDAY
223 PRIMY
229 NOWAY
227 fSMDAf
229 WtOMBfiDAY
229 THURSDAY
229 THURSDAY
230 PRIMY
233 MONDAY
234 *UBSDAY
235 WSDNESDAY
239 THURSDAY
237 PRIDAY
249 MONDAY
241 TUESDAY
242 NUMKSMY
243 TNDR8DAY
244 PRIMY
1254
1255
1253
1251
1252
1291
1299
1323
1339
1345
1394
1411
1432
1442
1491
149S
1521
1533
1532
1579
1591
1917
1959
1993
1979
1721
1715
1745
1795
17(4
1993
1847
1841
1913
1999
1912
1929
1991
1999
2912
2027
170
199
157
194
199
32
192
189
24
107
43
115
97
105
194
21
43
2
159
117
133
192
99
23
29
127
139
197
195
189
113
151
137
81
20
74
1
112
134
77
95
16.5
19.5
17.5
19.9
19.0
10.5
17.0
17.0
16.9
14.8
16.5
16.5
16.0
14.5
17.1
19.5
15.9
15.9
15.0
19.1
16.5
19.3
17.0
19.5
25.0
19.5
16.5
19.9
15.5
15.5
19.7
17.5
16.5
17.0
16.2
19.8
2*.5
19.5
19.5
19.5
16.9
16.5 97/17/84
19.5 07/17/94
17.5 97/17/94
19.0 07/17/94
19.5 07/17/94
10.0 07/18/94
17.0 07/19/94
17.0 07/21/94
17.9 07/23/94
19.7 97/24/94
16.5 07/25/94
17.0 07/26/94
16.5 07/27/94
16.5 07/39/94
17.9 97/31/94
19.5 99/91/94
19.9 99/92/94
15.0 09/96/94
14.8 08/09/94
19.0 09/94/94
15.0 09/99/94
19.5 98/09/94
17.9 09/13/94
19.2 09/13/94
13.3 09/13/04
19.4 0«/15/84
17.0 OC/15/94
17.0 09/17/84
15.0 09/17/94
14.9 09/17/94
19.5 99/20/94
IS.3 99/22/94
17.9 09/22/94
13.0 09/29/94
15.5 09/27/94
14.7 09/29/94
19.5 09/29/94
16.5 09/29/94
14.9 09/30/94
14.1 09/31/94
14.2 99/04/94
C 07/19/94
A 07/19/94
D 07/19/94
D
C
A
A
D 07/24/84
B
C
C
B 07/27/94
B
C 08/03/94
C
D 09/03/9*
A
C
A
C
D 09/09/94
D 09/09/94
C 08/14/84
D 08/14/84
D 08/14/84
C 08/20/84
C
c
A
D
A
A
D 08/23/84
D
D
B
D
A
D
C
A 09/05/94
0.69
0.49
0.57
0.45
0.56
0.29
0.33
0.35
0.29
0.23
0.25
0.18
0.32
0.19
0.49
0.23
0.25
0.19
0.21
0.29
0.66
0.81
0.82
1.35
0.36
9.26
0.26
0.S6
0.69
0.69
0.65
0.79
0.39
0.79
0.64
0.25
0.39
0.31
0.27
0.21
0.49
0.79
0.75
0.S1
0.40
0.35
0.18
0.22
0.52
0.71
0.71
1.16
0.34
0.29
0.34
0.43
-------
Table 2-7. Data Listing for Charlotte^ Horth Carolina, (cont.)
1984 SUMMER NMOC STUDY - CHARLOTTE, NORTH CAROLINA
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
NMOC
NMOC
DATS
DATE
SAMPLED
RADIAN
HO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
PPHC
PPHC
SAMPLED
SAMPLED
WEEKDAY
LAB ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
QAD
ESRL-GC
09/04/84
248
TUESDAY
2073
163
16.0
15.9
09/06/84
BMBS WMt
D
E ISMtSHI
0.42
8 RECCEISI
09/05/84
249
WEDNESDAY
2087
182
17.3
17.2
09/06/84
D
09/07/84
0.28
0.37
09/06/84
250
THURSDAY
2106
105
17.2
17.0
09/10/84
D
0.59
09/07/84
251
FRIDAY
2121
77
17.0
17.0
09/10/84
C
0.71
09/10/84
254
MOMMY
2155
108
16.5
17.0
09/11/84
c
09/13/84
0.29
0.33
09/11/84
255
TUESDAY
2193
32
16.8
17.0
09/13/84
B
0.27
09/12/84
256
WEDNESDAY
2191
49
17.5
17.4
09/13/84
B
0.45
09/14/84
258
FRIDAY
2240
114
16.9
16.5
09/18/84
D
0.58
09/17/84
261
MONDAY
2264
163
17.5
18.0
09/18/84
D
0.46
09/18/84
262
TUESDAY
2267
20
17.5
17.3
09/19/84
B
0.32
09/19/84
263
WEDNESDAY
2301
80
17.3
18.0
09/20/84
D
09/21/84
0.82
0.82
09/20/84
264
THURSDAY
2319
95
17.2
17.0
09/21/84
B
2.52
09/21/84
265
FRIDAY
2352
190
17.7
18.0
09/24/84
c
1.88
09/24/84
268
KOMkAY
2410
89
17.5
17.4
09/27/84
B
09/28/84
0.79
0.75
09/25/84
269
TUESDAY
2409
106
17.5
17.1
09/27/84
A
09/28/84
1.06
0.91
09/2C/84
270
WEDNESDAY
2423
196
17.0
17.2
09/28/84
c
09/29/84
1.82
1*67
09/27/84
271
THURSDAY
2474
112
16.0
15.5
10/02/84
B
10/02/84
0.18
0.23
0.15
09/27/84
271
THURSDAY
2473
146
16.0
15.7
10/01/84
C
0.19
09/28/84
272
FRIDAY
2472
32
17.5
17.3
10/02/84
C
10/03/84
0.21
0.21
ro
I
N>
00
-------
2-29
-------
5.0
U
2
ft
o
N)
I
CO
o
1 .0
0.0
CHATTANOOGA, TENNESSEE
1984 SUMMER NMOC STUDY
1 70
1 90
210 230
JULIAN DATE
250
270
Figure 2-6. Plot of IM0C Data for Chattanooga* Tcontnee*
-------
Table 2-8. Data Listing for Chattanooga, Tennessee.
1984 SUMMER NHOC STUDY - CHATTANOOGA, TBNNBSSEE
DATE
JULIAN
DATE
SAMPLED RADIAN
CAN (PSIG) (PSIG) RADIAN RADIAN
MO. PRESSURE PRESSURE ANALYSIS NHOC
1
EPA
RADIAN
ANALYSIS
PPNC
DATE
NHOC
A
07/27/84
4.08
D
0.95
B
07/27/84
1.23
C
1.85
c
07/27/84
2.60
B
07/30/04
1.44
D
1.17
A
1.20
D
08/03/84
1.19
D
0.52
D
0.72
B
0.69
A
0.69
D
1.16
B
08/13/84
1.60
c
08/11/84
0.99
B
1.09
A
1.11
A
3.35
B
1.43
C
1.31
c
0.93
D
1.08
D
08/24/84
1.04
A
08/27/84
1.06
A
08/29/84
0.81
A
1.02
A
00/30/04
0.99
c
09/06/84
0.67
c
0.50
D
0.85
C
1.59
A
0.79
C
1.33
D
1.20
B
1.68
D
1.68
C
09/20/84
1.16
A
1.22
A
09/24/84
0.84
D
1.88
NHOC
PPNC
QAD
NHOC
PPMC
BSRL-GC
07/17/84
07/18/84
07/19/84
07/20/84
07/23/84
07/24/84
07/25/84
07/26/84
07/27/84
07/31/84
08/01/84
88/02/84
00/02/84
08/03/84
88/08/84
08/87/84
08/08/84
08/89/84
88/10/84
01/13/04
08/14/84
08/16/84
88/17/84
08/20/04
08/21/84
08/22/84
08/23/84
08/24/84
8«/30/*4
08/05/84
09/08/84
09/07/84
09/10/84
09/11/84
09/11/04
09/12/04
09/13/84
09/14/04
09/17/04
09/18/84
09/19/84
see
199 TUESDAY
200 WEDNESDAY
201 THURSDAY
202
205
208 TUESDAY
207 WEDNESDAY
208 THURSDAY
209 FRIDAY
213 TUESDAY
214 NEDNE8DAY
215 THURSDAY
215 THURSDAY
218 FRIDAY
219 MONDAY
220 TUESDAY
221 WEDNESDAY
222 THURSDAY
223 FRIDAY
22C NOWAY
227 TUESDAY
229 THURSDAY
230 FRIDAY
233 MONDAY
234 TUESDAY
235 WEDNESDAY
238 THUR8DAY
237 FRIDAY
243 THURSDAY
249 WEDNESDAY
250 THURSDAY
251 FRIDAY
254 MONDAY
255 TUESDAY
255 TUESDAY
258 WB0NE8DAY
257 THURSDAY
258 FRIDAY
281 MONDAY
282 TUESDAY
2C3 WEDNESDAY
1371
1388
1380
1370
1408
1420
1438
1482
1490
1537
1567
1587
1588
1688
1666
1646
1688
1691
1740
1738
1778
1824
1835
1853
1887
1907
1937
1958
2042
2125
2150
2165
2194
2211
2210
2263
2254
2283
2318
2335
2350
44
33
123
191
48
23
184
118
108
147
71
104
143
155
68
87
105
90
160
18
128
112
150
1S8
69
14
30
177
48
91
177
147
150
34
41
92
2
45
51
153
176
25.2
22.3
15.7
15.5
14.8
15.8
15.0
15.2
16.0
16.0
16.0
14.0
14.0
15.0
14.0
16.0
15.0
1S.0
15.0
14.5
16.0
16.2
16.5
15.5
23.0
15.0
14.5
15.8
14.0
15.0
15.5
16.0
16.0
15.5
15.5
15.5
14.8
16.0
16.5
16.0
16.0
14.5
15.5
15.4
16.0
15.0
16.0
14.5
15.0
15.6
15.6
14.9
14.0
14.5
15.0
14.0
15.0
12.5
14.0
13.0
13.4
14.9
14.7
16.0
15.0
15.5
14.6
14.1
16.0
13.5
15.0
16.5
17.0
16.2
16.1
16.0
15.2
15.0
16.0
16.0
16.5
14.5
07/25/04
07/25/04
07/25/84
07/25/84
07/26/04
07/27/04
07/30/84
07/31/84
08/01/84
08/06/84
00/07/84
00/08/84
00/07/84
08/08/84
08/13/84
08/10/84
00/13/84
08/14/84
08/16/84
08/16/84
00/20/84
08/21/84
08/22/84
08/24/84
00/27/84
08/28/84
00/28/84
08/29/84
09/06/84
00/10/84
OS/11/84
09/12/84
09/13/84
09/14/04
09/14/84
09/18/84
09/18/84
09/19/84
09/21/84
89/21/84
09/24/84
1.61
3.94
1.13
2.21
1.19
1.49
0.81
1.23
1.07
0.90
0.72
0.73
0.99
0.94
-------
Table 2-8. Data Listing for Chattanooga, Tennessee.
(cont.)
1984 SUMMER NNOC
STUDY - CHATTANOOGA, TENNESSEE
JULIAN
CAN
(PSIG)
(PSIC) RADIAN RADIAN
EPA
RADIAN
NMOC
NNOC
DATE
DATE
SAMPLED
RADIAN NO.
PRESSURE
PRESSURE ANALYSIS NMOC
ANALYSIS
PPNC
PPHC
PPHC
SAMPLED
SAMPLED
WEEKDAT
LAB ID SAMPLED
SAMPLED
RECEIVED DATE INST
DATE
NNOC
QAD
ESRL-GC
09/20/84
284
THURSDAY
2387 59
14.7
14.5 09/25/84
B
09/26/84
1.22
1.10
09/21/84
285
FRIDAY
2393 7
18.2
18.0 09/28/84
C
09/27/84
2.68
2.32
09/24/84
2C8
MONDAY
2418 29
15.8
15.5 09/27/84
C
09/28/84
1.44
1.31
09/25/84
289
TUESDAY
2450 55
16.0
14.0 10/01/84
D
10/02/84
2.62
2.52
09/26/84
270
NEDMtibAY
2459 2
14.5
14.5 10/01/84
C
10/02/84
1.15
0.98
K)
I
U
ro
-------
2-33
-------
CINCINNATI, OHIO
1984- SUMMER NMOC STUDY
JULIAN DATE
2-7, flat MJtPb 1>$s>t Ohio.
-------
Table 2-9. Data Listing lot Oincintiati, Ohio.
19B4 SUMMER NHOC STUDY - CINCINNATI, OHIO
JULIAN
DATE DATS SAMPLED
SAMPLED SAMPLED WEEKDAY
CAN
(PSIC)
(PSIG)
RADIAN RADIAN
IAN
NO.
PRESSURE PRESSURE ANALYSIS NHOC
ID
SAMPLED
SAMPLED
RECEIVED
DATE INST
1062
67
14.4
14.5
06/29/84
B
1078
70
14.9
15.0
07/02/84
C
1084
103
14.3
14.0
07/03/84
B
1106
122
15.0
15.2
07/05/84
A
1128
138
14.5
14.8
07/06/84
D
1133
18
14.3
14.0
07/09/84
A
1146
21
14.2
14.5
07/09/84
D
1154
27
14.3
14.5
07/10/84
A
1161
58
15.1
15.5
07/11/84
C
1179
S6
14.5
13.5
07/12/84
B
1224
168
15.0
15.0
07/16/84
C
1247
20
14.0
14.5
07/17/84
A
1260
167
15.0
15.0
07/18/84
A
1217
24
14.0
14.0
07/19/84
B
1341
73
16.8
15.5
07/23/84
B
1353
3
14.0
14.5
07/24/84
A
1383
59
15.0
15.2
0V2S/84
B
1410
188
14.0
14.0
07/26/84
A
1419
103
15.0
15.0
07/27/84
A
1449
126
16.0
14.9
07/30/84
D
1467
93
15.0
14.9
07/31/84
A
1484
13
15.0
15.1
08/01/84
C
1520
78
14.0
20.0
08/02/84
B
1542
74
14.0
14.5
08/06/84
D
1573
152
16.0
15.5
08/07/84
C
1598
125
14.0
15.0
08/07/84
A
1607
196
15.0
15.0
88/00/84
C
1627
24
15.0
15.0
•8/09/84
D
1650
22
15.0
15.0
08/10/84
C
1684
145
14.0
14.0
08/13/84
A
1696
7
15.0
13.9
08/15/84
B
1732
154
15.0
15.0
88/15/84
B
1773
135
14.0
14.5
08/20/84
A
1771
172
0.0
15.3
08/17/84
D
1785
182
15.0
15.8
08/28/84
D
1826
108
15.0
14.8
08/21/84
D
1838
68
15.0
14.5
08/22/84
A
1992
122
15.0
14.5
08/24/84
B
1890
57
15.0
14.5
08/27/84
B
1909
156
16.0
15.3
08/27/84
D
1929
102
15.0
14.9
08/28/84
C
EPA RADIAN NHOC NMOC
ANALYSIS PPNC PPHC PPMC
DATE NHOC QAD ESRL-GC
06/27/84
06/28/84
06/29/84
•7/02/84
07/03/84
07/04/84
07/05/84
07/06/84
07/09/84
07/10/84
07/12/84
07/13/84
07/16/84
07/17/84
07/19/84
07/20/84
07/23/84
07/24/84
07/2S/84
07/26/84
07/27/84
07/30/84
07/31/84
08/01/84
08/02/84
04/03/84
08/06/84
01/07/84
08/08/84
08/09/84
08/10/84
08/13/84
08/14/84
08/15/84
08/16/84
08/17/84
08/20/84
08/21/84
08/22/84
08/23/84
08/24/84
179 WEDNESDAY
180 TBUMDAY
181 PRIDAY
104 NOWAY
185 TOfiUY'
186 WEDNESDAY
187 THURSDAY
188 PRIDAY
191 MONDAY
192 TUB8DAY
194 THURSDAY
195 PRIDAY
198 MONDAY
199 TOB0DAY
281 THURSDAY
202 FRIDAY
205 MONDAY
206 TORSDAY
207 KEDMRSDAY
208 THURSDAY
209 PNIOAY
212 HMDAT
213 THURSDAY
214 NRDNMDAY
215 THURSDAY
216 PRIDAY
219 MONDAY
220 TORSDAY
221 NEDMBDAY
222 THURSDAY
223 PRIDAY
226 MOMMY
227 TUESDAY
228 WEDNESDAY
229 THURSDAY
230 PRIDAY
233 MONDAY
234 TUESDAY
235 WEDNESDAY
236 THURSDAY
237 PRIDAY
07/10/84
07/10/84
07/06/84
07/10/84
07/16/84
07/23/84
07/27/84
07/31/84
08/01/84
08/08/84
08/13/84
08/22/84
08/28/84
0.60
1.94
1.03
1.42
0.75
0.33
0.65
0.48
0.75
0.55
1.20
1.15
0.83
0.74
1.05
0.80
1.14
0.9?
0.56
0.70
0.35
0.55
0.82
0.73
0.49
0.48
0.40
0.37
0.69
0.37
0.98
0.81
1.90
1.82
1.67
1.07
0.54
0.79
0.67
0.58
0.75
1.55
1.43
0.94
0.59
1.65
0.87
0.32
0.64
0.66
0.86
0.44
0.65
0.94
0.59
-------
kU U*tia« CiminmmtU «*i». (cort.>
1984 SUMMER NMOC STUDY - CINCINNATI, OHIO
JULIAN
DATE MR
SAMPLED SAMPLED
SAMPLED RADIAN
CAN
NO.
(PSIG) (PSIG) RADIAN RADIAN
PRESSURE PRESSORS ANALYSIS NMOC
EPA RADIAN
ANALYSIS PPHC
WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST
NMOC
PPHC
OAD
NMOC
PPHC
ESRL-GC
240 MONDAY 1962 71 15.0 15.0 ®®/**/®*
241 TUESDAY 1976 110 15.0 14.9 ®®/*®/®*
242 WEDNESDAY 2009 195 15.0 14.9 ®f/"/®*
243 THURSDAY 2032 9® 15.0 14.9 09/04/04
244 PIUDAY' 2052 15 15.0 15.0 ®*/®*/®j
248 TUESDAY 2095 54 15.0 14.5 09/07/84
250 THURSDAY 2123 121 17.0 17.0 ®*/}®/®«
250 THURSDAY 2124 71 17.0 15.5 ®*/J®'®*
251 PRIDAY 2101 141 14.0 14.0 09/12/84
254 MOfOAY 2174 129 22.0 23.1 09/12/04
Hi tSSSy 2205 26 14.0 ".5 09/13/S4
256 WEDNESDAY 2222 158 16.0 15.0
257 THURSDAY 2230 75 17.0 16.7 09/17/84
258 PRIDAY 2252 84 18.0 13.8 09/1B/94
141 nOMPftt 22(9 30 ll»0 16.5 09/19/04
III TUESDAY 2309 159 13.0 13.5 09/20/84
263 WEDNESDAY 2317 42 14.0 14.2 09/21/84
264 THURSDAY 2356 189 14.0 14.0 09/24/84
265 PRIDAY 2366 76 13.0 14.0 09/25/84
III MONDAY 2404 169 15.0 15.1 09/26/84
269 TUESDAY 2416 156 14.0 14.0 09/27/84
270 WEDNESDAY 2451 107 15.0 15.0 J®'®*'®*
271 THURSDAY 2461 4 20.0 16.0
272 FRIDAY 2483 109 15.0 14.5 10/02/84
09/13/84
09/13/04
D
D 08/31/84
A
e
D
C
D
D
C
C
C
D
D
A
A 09/20/84
C
C
C 09/25/84
B 09/26/84
D
C
C
D 10/02/84
A
0.63
0.46
0.41
0.74
0.99
0.45
0.86
1.00
2.94
0.59
0.62
0.96
2.07
3.61
0.34
0.98
1.41
0.00
0*91
0.47
0.33
0.31
3.93
0.12
0.42
2.28
0.59
0.34
0.81
1.17
3.51
-------
2-37
-------
to
I
u
00
u
ft
o
o
2
z
5.0
4-.0
3.0
2.0
1 .0
0.0
1 70
1 90
CLUTE, TEXAS
1984 SUMMER NMOC STUDY
230
JULIAN DATE
250
270
Figure 2-8. Plot of Im6c Data for Clute, Texas.
-------
Table 2-10. Data Listing for Clute, Texas.
1984 SUMMER NHOC STUDY - CLUTE, TEXAS
JULIAN CAM
DATE DATE SAMPLED RADIAN MO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIG) RADIAN
PRESSURE PRESSURE AMALYSI
SAMPLED RECEIVED DATE
RADIAN
EPA
RADIAN
NMOC
NMOC
NHOC
ANALYSIS
PPMC
PPMC
PPMC
INST
DATE
NMOC
QAD
ESRL-GC
D
06/22/84
1.09
1.22
B
0.45
D
06/25/84
0.88
0.08
D
1.10
C
0.68
A
06/29/04
4.31
4.03
D
07/10/04
0.53
0.45
B
07/10/04
0.46
0.45
D
0.59
D
07/05/84
1.10
1.24
B
0.98
C
1.30
B
1.56
A
0.99
B
07/13/84
1.14
1.15
A
0.50
D
07/19/04
0.57
0.58
D
07/19/04
0.47
0.49
C
0,44
C
0.31
A
1.19
D
0.50
B
07/27/04
0.45
0.46
D
0.91
C
0.44
A
0.61
C
1.10
A
0.49
C
0.61
C
0.76
B
00/08/84
0.54
0.46
A
0.56
D
0.90
A
1.74
D
08/14/04
1.73
1.95
C
1.20
C
1.69
D
0.05
A
0.58
C
00/20/04
0.51
0.51
C
1.47
06/19/84
06/20/84
06/21/84
06/22/84
06/25/84
06/27/84
06/28/84
06/26/84
06/29/84
07/02/84
07/03/84
07/04/04
07/04/04
07/10/04
07/11/04
07/12/04
07/13/04
•7/16/04
07/17/04
07/10/04
07/19/04
07/20/04
07/23/04
07/24/04
*7/25/04
07/26/04
07/27/04
07/30/04
07/31/04
00/01/04
00/02/04
00/03/04
00/06/04
00/07/04
00/00/04
00/09/04
00/10/04
00/13/04
08/14/04
00/14/84
00/15/84
171 TUESDAY
172 WEDNESDAY
173 THURSDAY
174 FRIDAY
177 MbMAY
179 WEDNESDAY
100 THURSDAY
180 THURSDAY
101 FRIDAY
104 MMIAI
105 TUESDAY
106 WEDNESDAY
106 WEDNESDAY
192 TUESDAY
193 WEDNESDAY
194 THURSDAY
195 FRIDAY
190 NOWAY
199 TUESDAY
200 WEDNESDAY
201 THURSDAY
202 FRIDAY
205 MOMMY
206 TUESDAY
207 KE0MB80AY
200 THURSDAY
209 FRIDAY
212 MONDAY
213 TUESDAY
214 NEDMESDAY
215 THURSDAY
216 FRIDAY
219 MONDAY
220 TUESDAY
221 WEDNESDAY
222 THURSDAY
223 FRIDAY
226 MONDAY
227 TUESDAY
227 T0E8DAY
228 WEDNESDAY
1006
19
17.5
1009
24
17.5
1010
35
10.5
1035
47
10.0
1036
52
17.5
1053
04
17.9
1069
99
17.1
1068
96
17.1
1071
107
15.8
1007
127
20.0
1109
142
17.1
1131
17
5.1
1139
44
10.1
1160
41
17.0
1195
75
17.3
1203
101
18.0
1234
124
18.1
1250
105
23.0
1271
116
16.0
1320
145
10.0
1331
34
19.0
1352
147
17.0
1377
50
20.0
1396
25
16.0
1414
139
17 .0
1476
165
17.5
1401
174
16.4
1510
145
20.5
1527
29
18 .0
1547
14
18.0
1562
111
10.0
1594
30
17.0
1606
161
21.0
1636
193
17.5
1661
174
18.0
1673
26
17.0
1702
21
17.0
1727
153
19.0
1736
04
16.5
1735
164
16.5
1763
124
10.0
18.0
18.5
19.5
18.3
18.0
17.5
17.5
17.3
17.3
20.0
17.9
0.0
16.2
17.5
18.5
10.9
10.5
24.0
17.0
10.0
19.5
17.5
20.5
17.5
19.0
17.2
16.5
21.0
17.7
17.9
10.5
17.2
21.0
17.5
17.5
17.2
17.9
19.0
16.5
17.0
18.6
06/21/84
06/21/84
06/22/84
06/26/04
06/26/84
06/20/04
06/29/84
06/29/84
07/02/84
07/03/84
87/05/84
07/06/84
07/09/04
07/11/04
07/12/04
07/13/04
07/16/04
07/17/04
07/10/04
07/20/04
07/23/04
07/24/04
07/25/04
07/16/04
•7/27/04
00/01/04
08/01/84
00/02/04
00/02/84
00/06/04
00/07/04
00/00/04
08/00/04
00/09/04
00/13/04
00/13/84
00/15/04
08/15/84
00/16/84
00/16/04
08/17/84
-------
Table 2-10. Data Listing for Clute, Texas, (cont.)
1964 SUMMER NNOC STUDY - CLUTE, TEXAS
JULIAN CAN (PSIG) (PSZG) RADIAN RADIAN EPA RADIAN NMOC NNOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NNOC ANALYSIS PPMC PPMC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC QAD ESRL-GC
229
THURSDAY
1794
61
18.0
18.0
08/20/84
A
0.71
230
FRIDAY
1812
83
18.0
18.0
08/21/84
C
0.51
233
MONDAY
1842
19
18.0
17.9
08/22/84
A
0.23
234
TUESDAY
1868
29
17.5
18.0
08/24/84
C
2.22
235
WEDMKDAY
1889
100
18.0
18.2
08/27/84
A
08/27/84
0.50
23C
THURSDAY
1900
165
16.0
16.5
08/23/84
D
0.42
236
THURSDAY
1901
172
16.0
16.5
08/27/84
B
0.51
240
, MONDAY
1965
115
18.0
18.0
08/29/84
A
1.84
241
TUESDAY
1980
155
17.5
18.1
08/30/84
C
0.88
242
WEDNESDAY
2002
150
18.0
18.1
08/31/84
c
1.02
243
THURSDAY
2025
108
18.0
17.0
09/04/84
c
1.06
244
FRIDAY
2038
136
18.0
18.0
09/06/84
B
09/07/84
0.48
247
MONDAY
2084
74
18.0
18.0
09/06/84
6
0.70
248
TUESDAY
2069
75
17.0
17.2
09/06/84
D
0.63
251
FRIDAY
2149
58
17.8
18.5
09/11/84
D
09/12/84
0.32
254
MONDAY
2180
189
18.0
18.0
09/13/64
C
09/14/84
1.17
255
TUESDAY
2187
77
18.0
18.0
09/13/84
D
0.20
256
WEDNESDAY
2206
126
18.0
18.3
09/14/84
C
1.02
257
THURSDAY
2233
17
18.0
18.0
09/17/84
B
0.4$
258
FRIDAY
2245
3
18.0
18.5
09/18/84
D
0.47
261
MONDAY
2296
180
19.0
19.5
09/19/64
D
0.22
262
TUESDAY
2312
44
17.0
19.1
09/20/84
B
0.65
263
WEDNESDAY
2339
171
16.0
1R.2
09/21/84
D
0.55
264
THURSDAY
2346
110
18.0
18.6
09/24/84
B
0.49
265
FRIDAY
2392
39
17.3
17.9
09/26/84
D
09/27/84
0.31
268
MONDAY
2395
157
18.0
18.5
09/26/84
C
0.54
268
MONDAY
2394
62
18.0
16.5
09/26/84
B
0.75
269
TUESDAY
2431
119
17.5
18.0
09/28/84
A
0.37
270
WEDNESDAY
2445
74
18.0
18.4
10/01/84
A
10/02/84
0.45
271
THURSDAY
2463
164
19.0
19.5
10/01/84
D
0.32
272
FRIDAY
2490
192
20.0
20.1
10/02/84
C
0.62
1.16
0.47
0.31
1.05
1.00
0.43
0.34
0.54
-------
2-41
-------
ro
I
•c*
to
u
2
8:
U
o
5.0
4-.0
3.0
2.0
1 .0
0.0
1 70
DALLAS, TEXAS
1984 SUMMER NMOC STUDY
'
J\I[ o XlA hi
H Ik k I
\r S
i i i i i i
I 1 1 I
1 90
210 230
JULIAN DATE
250
270
Figure 2-9. Plot of BMt>C J>sts for Texs*
-------
Table 2-11. Data Listing for Dallas, Texas.
1984 SUMMER NNOC STUDY - DALLAS, TEXAS
JULIAN CAN (PSIG) (PSIG) RADIAN RADIAN EPA RADIAN NNOC NNOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NNOC ANALYSIS PPNC PPHC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NNOC QAD BSRL-GC
06/18/84
170
MONDAY
1000
14
17.5
06/19/84
171
T0E8DAY
1001
15
19.0
06/20/84
172
WEDNESDAY
1007
26
19.0
06/21/84
173
THURSDAY
1017
33
17.5
06/22/84
174
FRIDAY
1029
44
16.0
06/22/04
174
FRIDAY
1020
42
16.0
06/25/04
177
MONDAY
1033
53
16.0
06/26/04
170
TUE8MY
1044
61
10.0
06/27/04
179
WEDNESDAY
1049
77
16.0
06/20/04
100
THURSDAY
1070
90
10.0
06/20/04
101
FRIDAY
1002
110
17.5
07/02/04
104
MONDAY
1006
120
10.5
07/83/84
105
TUE8DAY
1110
143
10.0
07/05/04
107
THURSDAY
1145
20
10.0
07/00/04
191
MOMMY
1155
31
16.5
07/10/04
192
TUESDAY
1174
47
17.0
*7/11/84
193
msdmnbday
1193
73
11.0
07/12/04
07/13/04
104
TMSMY
1201
96
17.5
195
FRIDAY
1236
125
11.0
07/16/04
190
MONDAY
1267
64
13.0
07/17/04
199
TUESDAY
1305
170
19.0
07/10/04
200
WEDNESDAY
1325
171
11.5
07/10/04
201
THURSDAY
1335
42
17.5
07/20/04
202
FRIDAY
1365
141
12.5
07/23/04
205
MONDAY
1304
75
10.5
07/24/04
206
TUESDAY
1401
109
12.0
07/25/04
207
WEDNESDAY
1415
140
15.5
07/26/04
200
TMMSDAY
1441
114
17.5
07/27/04
209
FRIDAY
1465
150
10.0
07/30/04
212
MOMMY
1499
19
13.0
07/30/04
212
MOMMY
1500
106
10.6
07/31/04
213
TOESMY
1525
52
10.5
00/01/04
214
WEDNESDAY
1545
67
19.0
00/02/04
215
THUR8DAY
1566
154
17.5
00/03/04
216
FRIDAY
1509
123
17.5
00/06/04
219
MOMMY
1611
06
19.0
00/07/04
220
TOB8DAY
1625
142
19.0
00/00/04
221
WEDNESDAY
1648
150
16.0
00/09/04
222
TBURSMY
1687
173
17.5
00/10/04
223
FRIMY
1693
34
17.5
00/13/04
226
MOMMY
1716
31
10.5
11.5
06/20/04
C
06/21/84
0.88
0.90
19.0
06/20/04
B
06/21/04
1.01
1.63
10.5
06/21/04
B
06/22/04
0.08
1.00
17.0
06/22/04
C
1.03
13.0
06/25/04
A
06/26/04
1.42
1.60
16.5
06/25/04
C
06/26/04
1.61
1.61
16.0
06/26/04
A
06/27/04
0.09
0.56
10.0
06/27/04
D
06/28/84
1.50
1.77
16.0
06/20/04
A
06/29/04
1.70
1.53
10.0
06/29/04
C
07/10/04
1.00
0.97
17.2
07/03/04
A
1.03
10.0
07/03/04
C
0.09
17.5
07/05/04
C
0.77
17.0
07/09/04
B
0.61
16.0
07/10/04
B
07/13/84
0.74
0.62
16.5
07/11/04
C
07/16/04
0.49
0.43
11.0
07/12/04
A
0.4*
o.or
17.5
07/13/04
C
15.5
07/16/04
C
0.09
13.0
07/10/04
D
07/23/84
0.61
0.61
19.0
07/19/04
C
0.71
10.5
07/21/04
C
07/23/84
1.07
1.30
17.3
07/23/04
B
07/24/84
0.00
1.16
12.0
07/24/04
B
07/27/04
0.01
0.75
10.5
07/25/04
D
1.29
12.2
07/16/04
D
0.94
16.5
07/27/04
D
1.31
17.0
07/30/04
D
00/03/84
1.03
0.97
17.2
00/01/04
B
0.92
16.0
00/01/04
C
1.22
16.0
08/01/04
D
1.16
17.2
00/02/04
C
1.14
18.5
00/06/04
D
1.13
17.5
00/06/04
C
00/03/04
1.42
1.19
17.9
00/07/04
C
1.05
13.0
08/00/04
D
0.65
19.0
00/09/04
D
0.75
16.0
00/10/04
B
0.44
17.1
00/13/04
C
0.56
17.5
00/14/04
B
1.63
18.9
00/15/04
D
1.20
-------
Table 2-11. Data Listing for Dallas, Texas, (cont.)
1984 SUMMER NNOC STUDY - DALLAS, TEXAS
JULIAN
CAN
(PSIG)
(PSIG) RADIAN
RADIAN EPA
RADIAN
DATE
DATE SAMPLED
RADIAN
NO.
PRESSURE
PRESSURE ANALYSIS
NMOC
ANALYSIS
PPMC
SAMPLED
SAMPLED WEEKDAY
LAB ID
SAMPLED
SAMPLED
RECEIVED DATE
INST
DATE
NMOC
08/14/84
227 TUESDAY
1748
177
18.5
18.1 08/17/84
D 08/20/84
0.85
08/1S/84
228 WEDNESDAY
1760
125
19.0
19.0 08/17/84
D
1.04
08/16/84
229 THURSDAY
1804
120
17.5
17.1 08/20/84
C
1.23
08/17/84
230 FRIDAY
1808
141
17.5
17.5 08/21/84
A
0.96
08/20/84
233 MONDAY'
1830
130
IE.5
19.0 08/22/84
D
0.76
08/21/84
234 TUESDAY
1852
169
19.5
19.0 08/24/84
C 08/25/84
0.39
08/22/84
235 WEDNESDAY
1876
78
19.5
15.9 08/27/84
A
2.57
08/23/84
236 THURSDAY
1910
105
18.0
16.0 08/28/84
C
2.46
08/24/84
237 FRIDAY
1936
77
17.5
17.1 08/29/84
C 08/30/84
0.98
08/27/84
240 NOWAY
1968
132
18.5
18.5 08/29/84
B
0.56
08/28/84
241 TUESDAY
1987
86
20.0
16.6 08/30/84
D
1.42
08/29/84
242 WEDNESDAY
2006
92
13.5
13.0 08/31/84
6 09/03/84
0.57
08/30/84
243 THURSDAY
2016
193
16.0
16.0 09/04/84
D
0.60
08/31/84
244 FRIDAY
2036
174
17.5
17.5 09/05/84
D
1.68
09/03/84
247 MOIDAY
2085
156
18.0
17.5 09/06/84
A
0.35
09/04/84
248 TUESDAY
2086
99
19.5
18.9 09/06/84
C
0.74
09/06/84
250 THURSDAY
2117
6
16.5
15.5 09/10/84
D
1.28
09/06/84
250 THURSDAY
2118
188
16.5
14.5 09/10/84
C
1.2S
09/07/84
251 FRIDAY
2152
152
18.5
18.0 09/11/84
C 09/12/84
0 ,7B
09/10/84
254 MONDAY
2169
85
17.5
18.0 09/12/84
C
0.39
09/11/84
255 TUESDAY
2203
104
15.5
16.0 09/13/84
C 09/14/84
0.51
09/12/84
256 WEDNESDAY
2229
56
19.0
17.2 09/14/84
C
1.51
09/13/84
257 THURSDAY
2259
18
18.0
18.0 09/18/84
c
0.66
09/17/84
261 MONDAY
2287
106
17.0
17.0 09/19/84
c
1.06
09/17/84
261 MONDAY
2288
71
17.0
16.5 09/19/84
D
1.16
09/18/84
262 TUESDAY
2311
164
15.0
14.9 09/20/84
B
0.76
09/19/84
263 WEDNESDAY
2330
195
10.3
10.5 09/21/84
B 09/22/84
0.94
09/20/84
264 THURSDAY
2357
37
17.0
17.9 09/24/84
A
1.09
09/21/84
265 FRIDAY
2385
49
17.5
16.5 09/25/84
A
0.87
09/2S/84
269 TUESDAY
2430
133
10.0
10.0 09/28/84
B
0.65
09/26/84
270 WEDNESDAY
2457
14
15.5
15.5 10/01/84
c
0.28
09/27/84
271 THURSDAY
2475
33
18.0
17.5 10/02/84
A
0.40
09/28/84
272 FRIDAY
2498
24
19.0
15.5 10/03/84
D 10/03/84
0.28
NMOC
PPMC
QAD
NMOC
PPMC
ESRL-GC
1.06
0.37
0.94 0.93
0.52
0.68
0.46
0.96
0.26
-------
2-45
-------
EL PASO TEXAS
1984 SUMMER NMOC STUDY
JULIAN DATE
Figure 2-10. Plot of KMOC Hits for El Pao, Tem.
-------
Table 2-12. Data Listing for El Paso, Texas.
1984 SUMMER NMOC STUDY - EL PASO, TEXAS
JULIAN CAN (PSIG) (PSIG) RADIAN RADIAN EPA RADIAN NMOC NMOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPMC PPMC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC QAD ESRL-GC
06/19/84
171
TUESDAY
1002
06/20/84
172
WEDNESDAY
1021
06/21/84
173
THURSDAY
1027
06/22/84
174
FRIDAY
1034
06/25/84
177
MONDAY'
1051
06/26/84
178
TUESDAY
1060
06/27/84
179
WEDNESDAY
1065
•6/28/84
180
THURSDAY
1075
06/29/84
181
FRIDAY
1092
07/02/84
184
MOMMY
1104
07/03/84
185
TUESDAY
1122
07/04/84
186
WEDNESDAY
1137
07/05/84
187
THURSDAY
1136
07/06/84
188
FRIDAY
1156
07/10/84
192
TUESDAY
1180
•7/11/84
193
WEDNESDAY
1207
07/12/84
194
THURSDAY
1223
•7/12/84
194
THURSDAY
1222
07/13/84
195
FRIDAY
1250
•7/17/84
199
TUESDAY
1301
07/18/84
200
WEDNESDAY
1322
•7/19/84
201
THURSDAY
1354
•7/20/84
202
FRIDAY
1361
07/23/84
205
MONDAY
1390
07/24/84
206
TUESDAY
1408
07/25/84
207
WEDNESDAY
1421
07/25/84
207
WEDNESDAY
1422
07/26/84
208 THURSDAY
1450
•7/3#/84
212
MONDAY
1491
08/01/84
214
WEDNESDAY
1538
•8/02/84
215
THURSDAY
1560
08/06/84
219
MONDAY
1620
08/07/84
220
TUESDAY
1641
08/08/84
221
WEDNESDAY
1654
08/09/84
222
THURSDAY
1685
08/10/84
223
FRIDAY
1706
08/13/84
226
MONDAY
1731
08/14/84
227
TUESDAY
1751
08/15/84
228
WEDNESDAY
1770
08/16/84
229 THURSDAY
1796
08/17/84
230
FRIDAY
1B21
10
21.5
18.0
06/21/84
11
21.5
18.0
06/25/84
25
20.0
16.0
06/25/84
34
12.8
9.5
06/26/84
46
13.0
9.8
06/28/84
58
13.0
9.5
06/29/84
12
12.0
9.5
06/29/84
92
13.0
10.0
07/02/84
83
21.5
18.0
07/03/84
113
13.0
9.0
07/05/84
126
13.0
9.8
07/06/84
146
13.0
9.5
07/09/84
10
13.0
9.0
07/09/84
4
13.0
10.0
07/10/84
57
12.5
9.5
07/12/84
67
20.0
18.0
07/13/84
17
13.0
13.0
07/16/84
127
13.0
10.5
07/16/84
83
13.0
10.5
07/17/84
179
13.*
9.5
07/19/84
190
13.0
10.5
07/21/84
65
13.0
10.0
07/24/84
99
12.0
9.5
07/24/84
149
13.0
10.0
07/25/84
128
13.0
10.0
07/26/84
49
12.5
9.5
07/27/84
97
13.5
10.3
07/27/84
129
13.5
10.9
07/30/84
51
13.0
10.2
08/01/84
112
13.0
10.0
08/06/84
168
13.0
11.0
08/06/84
95
13.0
10.0
08/08/84
126
13.0
11.0
08/09/84
190
13.0
10.5
08/13/84
51
13.0
10.0
08/14/84
192
13.0
10.6
08/15/84
89
13.0
10.5
08/15/85
99
13.0
10.5
08/16/84
149
13.0
11.0
08/17/84
62
13.0
10.5
08/20/84
3
13.0
11.1
08/21/84
C
1.62
D 06/26/84
0.69
0.56
B 06/26/84
1.74
1.88
B 06/27/84
1.41
1.53
D
1.27
A
0.66
D
0.58
E 07/03/84
0.85
1.04
A
0.93
A
0.82
D
1.76
A
0.56
A
1.38
B
0.78
C 07/16/84
1.21
1.07
A
0.51
B
0.68
B
0.60
A
0.83
A
0.49
C
0.84
D
0.70
B 07/27/84
0.33
0.32
D
0.66
C 07/27/84
1.47
1.56
B
0.67
B
0.68
C 08/03/84
0.84
0.72
B 08/03/84
0.89
0.85
B
1.56
C
0.39
D
0.47
C
1.39
D
1.17
D
0.88
D
0.61
A 08/20/84
0.59
0.57
D
0.76
C 08/20/84
0.63
0.99
A
0.84
C
1.44
-------
Table 2-12. Data Listing for El Paso, Texas, (cont.)
1984 SUMMER NHOC STUDY - EL PASO, TEXAS
I
¦>
00
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPNC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
II
a
R
i
ii
«
ii
¦
1 ItBRSCRt
K •VCMBS8 KKEBECri
SSSBC OBKKBKC CBSKSBKB SBBBBBBS
EBSBCCCB KECEBBCB EC8BBKKE
08/20/84
233
MONDAY
1836
10
13.0
10.0
08/22/84
C
1.53
08/21/84
234
TUESDAY
1859
183
13.0
10.5
08/24/84
D
1.00
08/22/84
235
WEDNESDAY
1877
31
13.0
10.5
08/27/84
C
08/28/84
0.84
08/23/84
236
THURSDAY
1914
45
13.0
10.5
08/28/84
D
0.75
08/24/84
237
FRIDAY
1941
161
13.0
10.5
08/28/84
A
0.38
08/27/84
240
MONDAY
1955
125
13.0
10.8
08/29/84
D
08/30/84
0.47
08/28/84
241
TUESDAY
1979
190
13.0
11.0
08/30/84
A
08/31/84
0.48
08/29/84
242
WEDNESDAY
2004
32
13.0
10.7
08/31/84
D
0.68
08/30/84
243
THURSDAY
2023
5
13.0
10.0
09/04/84
B
0.28
09/03/84
247
MONDAY
2076
118
13.0
10.0
09/06/84
A
0.33
09/04/84
248
TUESDAY
2077
165
14.0
11.0
09/06/84
D
0.38
09/05/84
249
WEDNESDAY
2099
14
13.0
11.0
09/07/84
D
1.05
09/07/84
251
FRIDAY
2146
106
14.0
12.0
09/11/84
C
1.21
09/07/84
251
FRIDAY
2145
19
14.0
11.5
09/11/84
C
1.25
09/10/84
254
MONDAY
2173
46
12.0
11.0
09/12/84
D
09/13/84
0.50
09/11/84
255
TUESDAY
2189
57
12.0
10.8
09/13/84
B
0.61
09/12/84
256
WEDNESDAY
2223
165
12.0
10.0
09/14/84
C
1.06
09/13/84
257
THURSDAY
2244
169
13.0
11.0
09/18/84
C
1.34-
09/17/84
261
MONDAY
2280
88
13.0
10.5
09/19/84
C
0.68
09/19/84
263
WEDNESDAY
2332
54
13.0
11.5
09/21/84
C
2.45
09/20/84
264
THURSDAY
2361
181
13.0
11.5
09/24/84
C
09/25/84
1.78
09/20/84
264
THURSDAY
2360
43
13.0
11.2
09/24/84
B
09/25/84
1.84
09/21/84
265
FRIDAY
2373
120
13.0
10.5
09/25/84
C
1.10
09/24/84
268
MOMMY
2390
65
12.0
10.9
09/26/84
C
0.67
09/25/84
269
TUESDAY
2428
137
12.0
10.4
09/28/84
C
09/29/84
1.81
09/26/84
270
WEDNESDAY
2454
20
12.0
10.8
10/01/84
B
0.96
09/27/84
271
THURSDAY
2460
18
11.0
9.0
10/01/84
C
0.60
09/28/84
272
FRIDAY
2497
144
12.0
11.0
10/03/84
c
0.69
NHOC
PPNC
QAD
MMOC
PPMC
ESRL-GC
0.79
0.54
0.45
0.49
1.74
1.00
1.65
1.80
-------
2-49
-------
ro
I
ui
o
u
fc
(J
o
5.0
4-.0
3.0
2.0
1 .0
0.0
1 70
FORT WORTH, TEXAS
1984 SUMMER NMOC STUDY
1 90
[
]
I
44, fl
H A
"4 \iVJ* * \J 'w
210 230
JULIAN DATE
250
270
Figure 2-11. Plot of VMO'c Data for Fort Worth, Tex*t.
-------
Table 2-13.
Data Listing for Fort Worth, Texas.
1984 SUMMER NHOC STUDY - FORT NORTH, TEXAS
JULIAN
CAN
(PS1G)
(PSIG)
RADIAN
RADIAN
1 EPA
RADIAN
NHOC
NHOC
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NHOC
ANALYSIS
PPHC
PPHC
PPHC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NHOC
QAD
ESRL-GC
06/20/84
172
WEDNESDAY
1023
3
18.0
17.7
06/25/84
A
1.18
06/20/84
172
WEDNESDAY
1022
4
18.0
17.7
06/25/84
B
1.11
06/22/84
174
FRIDAY
1040
43
16.0
15.5
06/26/84
A 06/27/84
0.88
1.22
06/25/84
177
MOMMY .
1039
45
16.0
16.0
06/26/84
D 06/27/84
1.61
1.59
06/26/84
178
TUESDAY
1042
55
20.0
19.5
06/27/84
C 07/28/84
0.85
0.60
06/27/84
179
WEDNESDAY
1047
62
17.0
17.5
06/28/84
B 06/29/84
1.29
1.19
06/28/84
180
THURSDAY
1063
78
15.0
15.5
06/29/84
C
0.81
06/29/84
181
FRIDAY
1081
94
15.0
15.0
07/02/84
A 07/10/84
1.12
1.05
07/02/84
184
MONDAY
1089
125
15.0
15.5
07/03/84
C
1.68
07/03/84
185
TUESDAY
1107
112
10.0
10.5
07/05/84
D
0.76
07/85/84
187
THURSDAY
1127
2
17.0
16.5
07/06/84
D
0.49
07/06/84
188
FRIDAY
1144
144
15.0
15.0
07/09/84
A
0.87
07/06/84
188
FRIDAY
1143
145
15.0
15.0
07/09/84
C
1.02
07/09/84
191
MONDAY
1152
52
15.0
15.0
07/10/84
C 07/11/84
0.63
0.82
•7/10/84
192
TUESDAY
1169
65
16.5
10.0
07/11/84
D
0.39
•7/11/84
193
MBDMESDAY
1197
111
15.0
15.5
07/12/84
B
0.72
07/12/84
194 THURSDAY
1200
2
15.0
14.5
07/13/84
D 07/17/84
0.6Q
0.65
07/13/84
195
FRIDAY
1227
23
12.0
12.0
07/16/84
B
0.77
07/16/M
198
MONDAY
1239
95
17.0
17.0
07/17/84
C 07/19/84
0.47
0.54
07/17/84
199
TUESDAY
1276
108
20.0
21.0
07/18/84
C
0.48
07/18/84
200
WEDNESDAY
1294
92
16.0
17.0
07/19/84
A 07/23/84
0.79
0.74
07/19/84
201
THURSDAY
1314
135
15.0
15.5
07/20/84
B
1.25
07/20/84
202
FRIDAY
1334
53
15.0
15.5
07/23/84
C 07/25/84
0.69
0.57
07/23/84
205
MONDAY
1376
55
17.0
15.5
07/25/84
A 07/27/84
1.35
1.24
07/24/84
206
TUESDAY
1404
63
17.0
16.0
07/26/84
C
1.09
07/24/84
206
TUESDAY
1403
96
17.0
17.0
07/26/84
B
1.04
07/25/84
287
WEDNESDAY
1423
95
13.0
13.0
07/27/84
A 07/30/84
1.35
1.78
07/26/84
208 THURSDAY
1437
166
16.0
15.5
07/30/84
C
0.89
07/27/84
209
FRIDAY
1462
182
15.0
15.0
08/01/84
D
0.71
07/30/84
212
MONDAY
1487
185
17.0
16.9
08/01/84
B
1.35
07/31/84
213
TUESDAY
1526
9
17.0
16.1
08/02/84
D
1.63
•8/01/84
214
WEDNESDAY
1536
66
17.0
16.6
08/06/84
C
1.13
08/02/84
215
THURSDAY
1565
161
16.0
16.0
08/06/84
D 08/03/84
1.29
1.09
08/03/84
216
FRIDAY
1582
58
15.0
16.0
08/07/84
B
0.95
08/06/84
219
MONDAY
1614
181
16.0
15.5
08/08/84
B
0.56
08/07/84
220
TUESDAY
1630
129
17.0
17.5
08/09/84
C 08/10/84
0.49
0.46
08/08/84
221
WEDNESDAY
1689
116
17.0
16.5
08/13/84
C
0.43
08/09/84
222
THURSDAY
1676
195
15.0
15.5
08/13/84
D
0.45
08/10/84
223
FRIDAY
1698
109
15.0
15.1
08/15/84
C
1.52
08/14/84
227
TUESDAY
1739
77
17.0
17.5
08/16/84
B 08/20/84
2.09
1.96
08/15/84
228
WEDNESDAY
1761
142
16.5
16.9
08/17/84
C 08/20/84
0.77
1.04
-------
Table 2-13. Data Listing for Fort Worth, Texas, (cont.)
1984 SUMMER NMOC STUDY - PORT NORTH, TEXAS
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
NMOC
NMOC
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
PPMC
PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
QAD
BSRL-GC
08/16/84
229
THURSDAY
1802
25
16.0
16.1
08/20/84
C
08/21/84
1.27
1.13
08/17/84
230
FRIDAY
1817
64
15.0
15.8
08/21/84
D
1.15
08/20/84
233
MONDAY
1854
167
15.0
15.5
08/24/84
C
0.96
08/21/84
234
TUESDAY
1864
136
17.0
17.5
08/24/84
C
0.56
08/24/84
237
PRlb&Y '
1944
58
15.0
15.5
08/29/84
B
08/30/84
0.83
0.79
08/27/84
240
MONDAY
1947
121
16.0
15.9
08/29/84
C
0.61
08/28/84
241
TUESDAY
1988
6
16.0
16.7
08/30/84
C
0.47
08/29/84
242
WEDNESDAY
1994
59
16.0
16.8
08/31/84
B
0.55
08/30/84
243
THURSDAY
2015
55
18.0
14.9
09/04/84
A
3.81
08/31/84
244
FRIDAY
2062
53
15.0
15.2
09/06/84
D
09/07/84
1.64
1.36
09/04/84
248
TUESDAY
2064
60
18.0
18.0
09/06/84
A
09/07/84
1.35
1.30
09/05/84
249
WEDNESDAY
2107
198
17.0
17.0
09/07/84
C
2.18
09/06/84
250
THURSDAY
2133
66
16.0
16.0
09/10/84
B
09/11/84
0.85
0.86
09/07/84
251
FRIDAY
2142
11
25.0
26.2
09/11/84
B
0.51
09/10/84
254
MONDAY
2167
50
16.5
17.0
09/12/84
D
0.47
09/11/84
255
TUBSDAY
2195
95
17.0
17.8
09/13/84
A
0.43
09/12/84
256
WEDNESDAY
2215
68
15.5
17.1
09/14/84
C
0.55
09/13/84
257
THURSDAY
2266
196
15.5
16.0
09/18/84
D
O.SS'
09/14/84
258
FRIDAY
2260
172
15.0
16.0
09/18/84
A
0.60
09/17/84
261
MONDAY
2271
198
15.0
16.4
09/19/84
D
0.74
09/18/84
262
TUESDAY
2314
8
17.0
17.5
09/20/84
B
1.46
09/19/84
263
WEDNESDAY
2333
35
16.0
16.5
09/21/84
C
09/22/84
1.62
1.59
09/21/84
265
FRIDAY
2383
123
15.0
14.9
09/26/84
D
1.69
09/24/84
268
NOWAY
2407
102
17.0
17.0
09/26/84
A
09/27/84
0.50
0.63
09/25/84
269
TUESDAY
2422
90
17.0
16.5
09/28/84
B
0.56
09/26/84
270
WEDNESDAY
2456
5
17.0
16.5
10/01/84
D
0.42
09/27/84
271
THURSDAY
2484
85
16.0
15.5
10/02/84
C
10/03/84
0.75
0.72
09/28/84
272
FRIDAY
2486
190
16.0
16.1
10/02/84
D
0.52
-------
2-53
-------
NJ
I
KJ\
U
2
ft
U
O
5.0
4.0
3.0
.0
1 .0
0.0
1 70
INDIANAPOLIS, INDIANA
1984 SUMMER NMOC STUDY
1 90
210 230
JULIAN DATE
250
270
figure 2-12. Plot of HM0C foata for Indianapolis, Indiana.
-------
Table 2-14. Data Listing for Indianapolis, Indiana.
1984 SUMMER NMOC STUDY - INDIANAPOLIS, INDIANA
JULIAN CAN
DATE DATE SAMPLED RADIAN NO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIG) RADIAN RADIAN
PRESSURE PRESSURE ANALYSIS NMOC
SAMPLED RECEIVED DATE INST
EPA RADIAN NMOC NMOC
ANALYSIS PPMC PPNC PPNC
DATE NMOC QAD ESRL-GC
to
I
w
07/12/04 194 THURSDAY 1218 50
07/13/84 195 FRIDAY 1245 85
07/16/84 198 MONDAY 1266 160
07/17/84 199 TUS8MY 1300 182
07/18/84 200 WEDNB6DAY 1309 122
07/19/84 201 THURSDAY 1342 9
07/20/84 202 FRIDAY 1343 14
07/23/84 205 MONDAY 1387 79
07/24/84 206 TUESDAY 1394 74
07/25/84 207 WEDNESDAY 1424 17
07/26/84 208 THURSDAY 1446 35
07/27/84 209 FRIDAY 1454 151
07/30/84 212 MONDAY 1492 20
07/31/84 213 TUESDAY 1504 180
•8/01/84 214 WEDNESDAY 1553 153
08/81/84 214 WEDNESDAY 1554 131
•8/02/84 215 THURSDAY 1576 121
08/03/84 216 FRIDAY 1590 124
08/06/84 219 MONDAY 1602 79
08/07/84 228 TUESDAY 1634 49
08/08/84 221 WEDNESDAY 1649 175
08/09/84 222 THURSDAY 1675 167
•8/10/84 223 FRIDAY 1695 180
08/13/84 226 MONDAY 1754 138
08/15/84 228 WEDNESDAY 1772 191
•8/16/84 229 THURSDAY 1800 152
08/17/84 230 FRIDAY 1807 181
04/20/M 233 MONDAY 1833 94
08/21/84 234 TUESDAY 1860 96
08/22/84 235 WEDNESDAY 1892 90
08/23/84 236 THURSDAY 1917 39
08/24/84 237 FRIDAY 1942 99
08/27/84 240 MONDAY I960 147
08/29/84 241 TUESDAY 1982 76
08/29/84 242 WEDNESDAY 1995 106
08/29/84 242 WEDNBSDAY 1996 152
08/30/84 243 THURSDAY 2063 183
08/31/84 244 FRIDAY 2051 7
09/03/84 247 MONDAY 2060 89
09/04/84 248 TUESDAY 2061 40
13.0
13.0 07/16/84
A 07/19/84
1.30
1.28
13.0
13.0 07/17/84
A
1.21
12.5
12.2 07/18/84
A
0.73
14.5
13.5 07/19/84
B
0.91
14.0
14.0 07/20/84
C
0.55
11.5
11.5 07/23/84
A 07/25/84
2.SO
2.46
14.0
13.5 07/24/84
A 07/27/84
0.67
0.67
15.0
15.0 07/25/84
D 07/27/84
1.41
1.36
13.5
13.5 07/26/84
A
0.67
14.2
14.5 07/27/84
D 07/30/84
0.68
0.54
14.0
14.0 07/30/84
B
0.55
14.5
13.9 07/31/84
A
0.34
16.5
16.8 08/01/84
A 08/03/84
0.51
0.55
14.0
13.5 08/02/84
B
0.74
13.1
12.9 08/06/84
A
1.14
13.1
12.5 08/06/84
C
1.3+
14.1
14.2 08/06/84
B
0.69
14.1
13.5 08/07/84
B
0.56
13.5
13.2 08/08/84
A
0.63
13.1
12.0 08/09/84
C 08/13/84
1.09
1.23
14.0
14.8 08/10/84
A
0.78
13.1
13.1 08/13/84
C 08/14/84
0.98
0.86
0.64
13.5
13.3 08/15/84
B
0.90
13.5
13.5 08/16/84
C 08/22/84
1.01
1.10
11.0
11.0 08/20/84
B
2.50
14.0
14.2 08/20/84
D
0.86
13.5
13.5 08/21/84
B
1.12
14.0
13.5 08/22/84
C 08/23/84
0.68
0.42
13.5
13.5 08/24/84
D 08/27/84
0.57
0.64
0.49
10.0
9.5 08/27/84
D
0.97
13.5
13.8 08/28/84
A
0.64
14.0
13.8 08/28/84
B
0.76
24.0
23.3 08/29/84
C
0.27
13.5
13.2 08/29/84
D
0.38
14.3
14.0 08/31/84
A
0.52
14.3
14.0 08/31/84
A
0.52
14.0
13.2 09/06/84
C
0.82
14.5
14.1 09/05/84
D 09/06/84
0.78
0.70
13.5
13.5 09/05/84
A
0.22
13.0
12.8 09/06/84
D 09/07/84
0.58
0.49
-------
Table 2-14. Data Listing for Indianapolis, Indiana. (cont.)
1984 SUMMER NMOC STUDY - INDIANAPOLIS, INDIANA
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPNC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
tt mmmmmmmm tBCcieti
SKK
SBBBB BBSBSCBB BBSBBSSS BB8BSSCB KBSBSCBS BCKSBEBi
KSKCBCEE
09/05/84
249
NEDMESDAY
2097
167
14.2
14.5
09/10/84
B
09/10/84
0.49
09/06/84
250
THURSDAY
2154
112
13.0
13.5
09/11/84
D
09/12/84
0.65
09/07/84
251
FRIDAY
2160
184
13.5
13.5
09/12/84
D
0.58
09/10/84
254
MOMMY
2166
110
11.5
11.0
09/12/84
A
0.64
09/11/84
255
TUESDAY
2185
35
12.9
12.5
09/13/84
C
0.70
09/12/84
256
WEDNESDAY
2212
29
13.0
13.0
09/14/84
A
0.92
09/13/84
257
THURSDAY
2235
69
13.0
12.8
09/17/84
C
0.68
09/14/84
258
FRIDAY
2250
40
13.5
13.1
09/18/84
B
09/19/84
0.40
09/17/84
261
MONDAY
2282
167
13.5
13.5
09/19/84
A
0.75
09/18/84
262
TUESDAY
2327
15
14.0
13.0
09/21/84
A
09/22/84
1.27
09/19/84
263
WEDNESDAY
2325
112
15.5
15.1
09/21/84
D
0.92
09/20/84
264
THURSDAY
2351
32
16.0
16.0
09/24/84
C
0.75
09/21/84
265
FRIDAY
2380
46
14.0
13.8
09/26/84
D
0.99
09/21/84
265
FRIDAY
2381
155
14.0
13.3
09/26/84
C
0.98
09/24/84
268
MONDAY
2406
161
12.5
12.0
09/26/84
A
0.81
09/25/84
269
TUESDAY
2424
63
13.0
12.1
09/24/84
D
0.63
09/26/84
270
WEDNESDAY
2440
113
12.0
12.1
10/01/84
A
10/02/84
0.43-
09/27/84
271
THURSDAY
2479
64
13.0
12.8
10/02/84
D
0.35
09/28/84
272
FRIDAY
2493
15
13.0
12.5
10/02/84
A
0.41
NMOC
PPNC
QAD
NMOC
PPNC
BSRL-OC
0.62
0.71
0.47
0.41
1.14
0.37
-------
2-57
-------
IO
I
Cn
00
o
o
O
5.0
4.0
3.0
2.0
1 .0
0.0
1 70
KANSAS CITY, MISSOURI
1984 SUMMER NMOC STUDY
1 90
210 230
JULIAN DATE
250
270
Figure 2-13. Plot of HMOC D.t. for KCity, His.ouri.
-------
Table 2-15. Data Listing for Kansas City, Missouri.
1984 SUMMER NMOC STUDY - KANSAS CITY, MISSOURI
JULIAN CAN (PSIG) (PSIG) RADIAN RADIAN EPA RADIAN NMOC NMOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPNC PPMC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC QAD ESRL-OC
06/27/84
179
WEDNESDAY
1172
06/28/84
180
THURSDAY
1165
86/29/84
181
FRIDAY
1163
07/02/84
184
MONDAY'
1185
07/03/84
185
TUESDAY
1177
07/05/84
187
THURSDAY
1189
07/06/84
188
FRIDAY
1187
07/09/84
191
MONDAY
1178
07/10/84
192
TUESDAY
1229
87/11/84
193
MEDNB8DAY
1230
07/12/84
194
THURSDAY
1293
07/13/84
195
FRIDAY
1290
87/16/84
198
MONDAY
1296
07/17/84
199
TUESDAY
1292
07/18/84
200
WEDNESDAY
1471
87/18/84
201
THURSDAY
1469
07/20/84
202
FRIDAY
1457
07/23/84
205
MONDAY
1479
07/24/84
206
TUESDAY
1468
07/25/84
207
WEDNESDAY
1506
07/26/84
288
TUMMY
1507
07/27/84
209
FRIDAY
1514
07/38/84
212
MONDAY
1511
07/31/84
213
TUESDAY
1540
08/01/84
214
WEDNESDAY
1551
08/02/84
215
THURSDAY
1575
08/03/84
216
FRIDAY
1599
08/06/84
219
MO WAY
1609
08/07/84
220
TUESDAY
1633
88/08/84
221
WEDNESDAY
1657
08/09/84
222
THURSDAY
1681
08/10/84
223
FRIDAY
1694
08/13/84
226
MONDAY
1714
08/14/84
227
TUESDAY
1755
08/15/84
228
WEDNESDAY
1777
08/16/84
229
THURSDAY
1797
88/17/84
230
FRIDAY
1823
08/17/84
230
FRIDAY
1822
08/20/84
233
MONDAY
1845
08/21/84
234
TUESDAY
1857
08/22/84
235
WEDNESDAY
1884
117
12.5
11.0
07/11/84
117
10.5
12.5
07/11/84
121
12.0
12.5
07/11/84
76
13.5
14.0
07/12/84
79
13.0
13.0
07/12/84
131
12.0
12.5
07/12/84
147
12.0
12.5
07/12/84
3
13.0
13.5
07/12/84
25
12.5
12.5
07/16/84
38
12.5
12.5
07/16/84
93
12.0
12.0
07/19/84
106
16.5
17.0
07/19/84
177
13.0
13.5
07/19/84
126
12.5
13.0
07/19/84
183
13.0
12.5
08/01/84
193
14.0
15.5
07/31/84
15
12.5
12.5
07/31/84
45
13.5
13.8
08/01/84
61
14.0
14.5
07/31/84
159
13.5
12.5
08/02/84
90
12.0
11.6
08/02/84
136
12.5
13.0
08/02/84
69
14.0
14.1
08/02/84
73
13.0
13.1
08/06/84
89
12.8
12.9
08/06/84
135
12.5
13.0
08/06/84
81
13.0
13.0
08/07/84
44
15.5
14.5
08/08/84
72
13.0
13.0
08/09/84
108
12.5
12.0
08/13/84
137
12.5
12.6
08/13/84
93
12.5
12.5
08/15/84
159
13.5
14.2
08/15/84
156
13.5
14.1
08/16/84
107
13.0
13.1
08/20/84
59
14.0
14.9
08/20/84
190
14.0
14.1
08/21/84
106
14.0
14.8
08/21/84
194
14.0
14.3
08/22/84
173
13.5
13.5
08/24/84
166
13.0
13.2
08/27/84
A 07/16/84 2.04 1.71
B 0.77
D 07/16/84 1.56 1.23
A 1.28
A 0.67
C 1.35
B 0.99
A 07/16/84 0.58 0.53
A 0.51
A 0.44
D 07/23/84 2.71 2.48
D 0.66
D 0.77
C 0.63
B 08/03/84 1.46 1.76
D 0.74
D 08/01/84 0.5$ 0.82
A 08/03/84 1.44 1.23
B 0.56
B 08/03/84 1.72 1.54
D 0.46
B 0.62
C 0.45
B 0.64
D 0.74
B 0.56
B 08/08/84 0.50 0.43
D 1.21
B 08/10/84 0.46 0.44
A 0.42
C 0.58
A 08/15/84 0.44 0.54
C 0.54
A 0.75
D 0.72
D 08/21/84 0.72 0.74
B 0.64
C 08/22/84 0.64 0.60
C 08/23/84 0.44 0.56
B 0.46
C 0.71
-------
Table 2-15. Data Listing for Kansas City, Missouri, (cont.)
1984 SUMMER NMOC STUDY - KANSAS CITY, MISSOURI
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
08/23/84
236
THURSDAY
1902
163
13.5
14.0
08/27/84
D
08/28/84
0.38
08/24/84
237
FRIDAY
1943
192
14.5
14.7
08/29/84
C
0.53
08/27/84
240
MONDAY
1957
151
13.5
13.3
08/29/84
A
0.57
08/27/84
240
MONDAY
1956
64
13.5
13.4
08/29/84
C
0.35
08/28/84
241
TUESDAY '
1984
22
13.5
14.0
08/30/84
B
08/31/84
0.66
08/29/84
242
WEDNESDAY
1993
120
13.0
13.2
08/31/84
A
0.70
08/30/84
243
THURSDAY
2021
187
22.0
22.1
09/04/84
A
09/05/84
0.61
08/31/84
244
FRIDAY
2053
49
11.5
11.0
09/05/84
C
2.76
09/04/84
248
TUESDAY
2082
168
14.5
14.9
09/06/84
C
0.36
09/05/84
249
WEDNESDAY
2109
4
17.0
16.5
09/10/84
C
2.04
09/06/84
250
THURSDAY
2126
31
13.0
13.0
09/10/84
C
09/11/84
0.47
09/07/84
251
FRIDAY
2143
127
13.0
13.7
09/11/84
A
0.30
09/10/84
254
MONDAY
2181
142
15.0
15.5
09/12/84
B
09/13/84
0.66
09/11/84
255
TUESDAY
2186
181
13.5
14.0
09/13/84
D
0.35
09/12/84
256
WEDNESDAY
2208
131
16.0
15.9
09/14/84
D
1.99
09/13/84
257
THURSDAY
2234
98
13.0
13.0
09/19/84
A
0.52
09/14/84
258
FRIDAY
2261
156
13.5
13.9
09/18/84
A
0.57
09/17/84
261
MONDAY
2285
33
13.5
13.5
09/19/84
A
0.37,
09/18/84
262
TUESDAY
2297
48
15.0
15.6
09/20/84
A
09/21/84
0.79
09/19/84
263
WEDNESDAY
2329
85
15.0
15.0
09/19/84
A
0.60
09/20/84
264
THURSDAY
2343
174
12.5
13.5
09/24/84
C
0.71
09/21/84
265
FRIDAY
2365
10
13.0
12.0
09/25/84
C
0.75
09/24/84
268
MONDAY
2402
186
14.5
14.5
09/27/84
C
0.56
09/25/84
269
TUESDAY
2425
1
17.0
10.6
09/28/84
C
0.78
09/26/84
270
WEDNESDAY
2441
140
11.0
11.5
10/01/84
D
0.33
09/27/84
271
THURSDAY
2494
167
16.0
16.1
10/02/84
D
0.29
09/28/84
272
FRIDAY
2487
82
16.0
16.1
10/02/84
C
10/03/84
0.37
NMOC
PPMC
QAD
NMOC
PPMC
ESRL-GC
ro
I
a>
o
0.74
0.44
0.58
0.38
0.58
0.73
0.55
-------
2-61
-------
N>
I
O*
N)
u
k
u
o
5.0
4-.0
3.0
2.0
1 .0
0.0
1 70
MEMPHIS, TENNESSEE
1584 SUMMER NMOC STUDY
1 90
Figure 2-14.
210 230 250
JULIAN DATE
Plot of MMOC Data for Meaphis, Tennessee
270
-------
Table 2-16.
Data Listing for Meaphis, Tennessee.
1984 SUMMER NMOC STUDY - MEMPHIS, TENNESSEE
DATE
JULIAN
DATE
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EFA
IAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
1210
128
0.0
11.0
07/13/84
C
07/16/84
1297
138
18.0
18.0
07/19/84
A
1317
166
18.0
17.5
07/20/84
D
1363
41
17.0
17.9
07/24/84
C
1351
112
16.0
16.7
07/24/84
C
07/27/84
1374
111
18.5
18.8
07/25/84
B
1393
124
19.5
20.5
07/26/84
D
1429
86
19.0
19.0
07/25/84
e
07/30/84
1440
110
18.0
18.0
07/30/84
C
1475
54
16.5
17.0
07/31/84
D
1489
122
18.0
18.5
08/01/84
A
08/03/84
1510
195
19.8
19.9
08/02/84
A
1549
191
18.5
18.5
08/06/84
A
1600
113
21.0
21.5
08/07/84
C
1603
38
19.5
18.5
08/08/84
D
08/09/84
1629
85
18.5
16.0
08/09/84
D
1655
114
18.5
17.0
08/13/84
D
1674
185
24.5
23.4
08/13/84
D
08/14/84
1704
171
15.5
16.1
08/15/84
D
1724
27
15.5
17.5
08/15/84
t
08/16/84
1737
40
18.8
19.5
08/16/84
D
1791
133
25.5
25.5
08/16/84
B
08/21/84
1832
175
24.5
24.9
08/22/84
B
1855
145
18.5
19.0
08/24/84
A
1875
154
18.5
19.1
08/27/84
A
08/28/84
1908
65
18.9
18.0
08/27/84
C
1920
33
30.0
29.5
08/28/84
D
1963
43
18.5
18.5
08/29/84
B
1999
135
19.0
19.0
08/31/84
A
09/04/84
2029
38
19.5
15.0
09/04/84
D
2022
116
20.5
20.0
09/04/84
A
09/05/84
2047
57
17.5
17.7
09/05/84
C
2071
81
21.3
IS.9
09/06/84
C
09/07/84
2105
90
20.0
18.5
09/10/84
C
2132
134
20.5
20.0
09/10/84
A
2131
18
20.5
20.5
09/10/84
B
2144
132
18.5
19.0
09/11/84
D
09/12/84
2176
109
18.0
18.6
09/12/84
C
2200
178
18.5
19.5
09/13/84
C
2220
23
19.0
19.5
09/14/84
A
2239
136
18.5
18.5
09/17/84
B
RADIAN
NMOC
PPMC
NMOC
PPMC
07/10/84
07/17/84
07/18/84
07/19/84
07/20/84
07/23/84
07/24/84
07/25/84
07/26/84
07/27/84
07/30/84
07/31/84
08/01/84
08/03/84
08/96/84
08/87/84
08/08/84
08/09/84
08/10/84
08/13/84
08/14/84
08/14/84
08/20/84
08/21/84
08/22/84
08/23/84
08/24/84
08/27/84
08/28/84
08/29/84
08/30/84
08/31/84
09/04/84
09/05/84
09/06/84
09/06/84
09/07/84
09/10/84
09/11/84
09/12/84
09/13/84
192 TUESDAY
199 TUESDAY
200 WEDNESDAY
201 THURSDAY
202 FRIDAY
205 NOIDAY
206 TUESDAY
207 WEDNESDAY
208 THURSDAY
209 FRIDAY
212 MONDAY
213 TUESDAY
214 WEDNESDAY
216 FRIDAY
219 MONDAY
220 TUESDAY
221 WEDNESDAY
222 THURSDAY
223 FRIDAY
226 MONDAY
227 TUESDAY
229 THURSDAY
233 MONDAY
234 TUESDAY
235 NEDMB8BAY
236 TBORSDAY
237 FRIDAY
240 MONDAY
241 TUESDAY
242 WEDNESDAY
243 TBORSDAY
244 FRIDAY
248 TUESDAY
249 WEDNESDAY
250 THURSDAY
250 THURSDAY
251 FRIDAY
254 MONDAY
255 TUESDAY
256 WEDNESDAY
257 THURSDAY
0.74
1.26
0.40
1.70
1.59
0.99
1.14
1.64
1.19
1.09
0.80
0.75
1.55
0.97
2.07
1.22
1.12
0.93
1.27
1.11
1.29
2.46
1.80
1.45
1.43
0.58
0.14
2.33
1.09
2.57
1.90
2.78
0.77
1.77
0.36
1.30
1.58
1.41
0.74
4.03
4.75
1.03
1.53
1.57
0.60
1.83
0.76
1.33
2.27
1.12
0.69
1.33
1.90
1.41
0.70
-------
Table 2-16. Data Listing for Menphis, Tennessee, (cont.)
1984 SUMMER NMOC STUDY - MEMPHIS, TENNESSEE
JULIAN CAN (PSIG) (PSIG) RADIAN RADIAN EPA RADIAN NMOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPMC PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC QAD
¦ CCKKSC BBSCBOB
09/J4/84
258
FRIDAY
2249
105
18.0
15.5
09/18/84
C
2.41
09/17/84
261
MONDAY
2270
90
19.0
18.8
09/19/84
C
0.92
09/18/84
262
TUESDAY
2303
24
19.0
19.5
09/20/84
D
1.00
09/19/84
263
WEDNESDAY
2326
108
20.0
18.5
09/21/84
C
1.71
09/20/84
264
THURSDAY'
2355
129
20.5
19.0
09/24/84
D
2.09
09/21/84
265
FRIDAY
2364
187
18.5
18.0
09/25/84
A
09/26/84
1.92
09/24/84
268
MONDAY
2434
103
17.5
17.6
09/28/84
D
09/29/84
1.19
09/25/84
269
TUESDAY
2433
124
16.0
18.3
09/28/84
C
1.36
09/26/84
270
WEDNESDAY
2455
45
20.0
20.1
10/01/84
A
0.19
09/27/84
271
THURSDAY
2504
188
25.0
18.0
10/05/84
C
1.28
09/28/84
272
PRIDAY
2482
6
13.9
12.5
10/02/84
A
0.33
-------
2-65
-------
5.0
MIAMI, FLORIDA
1984 SUMMER NMOC STUDY
4.0
KJ
I
O*
o\
u
ft
O
o
3.0
2.0
1 .0
0.0
1 70
1 90
j \ B
M
T
T
10
230
JULIAN DATE
250
27D
Figure 2-15. Plot of IM0C' Data for Miaai, Florida.
-------
Table 2-17. Data Listing for Miaai, Florida.
1984 SUMMER NHOC STUDY - MIAMI, FLORIDA
JULIAN CAN
DATE DATE SAMPLED RADIAN NO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIG) RADIAN RADIAN EPA
PRESSURE PRESSURE ANALYSIS NHOC ANALYSIS
SAMPLED RECEIVED DATE INST DATE
RADIAN NHOC
PPHC PPMC
NHOC QAO
NHOC
PPMC
ESRL-GC
08/14/84 229 TBORSDAY 1782 37 25.0
08/17/84 230 FRIDAY 1809 5 16.0
08/17/84 230 FRIDAY 1810 6 16.0
08/20/84 233 MONDAY 1846 87 16.0
08/21/84 234 TUESDAY 1862 28 24.0
08/22/84 23S WEDNESDAY 1865 109 16.5
08/23/84 236 THURSDAY 1898 34 24.5
08/24/84 237 FRIDAY 1927 143 17.0
08/27/84 240 MONDAY 1969 184 16.0
08/28/84 241 TUESDAY 1985 3 16.5
08/29/84 242 WEDNESDAY 2033 175 17.0
08/30/84 243 THURSDAY 2019 126 18.0
08/31/84 244 FRIDAY 2040 145 17.0
09/84/84 248 TUESDAY 2070 154 16.0
09/05/84 249 WEDNESDAY 2093 52 18.0
09/85/84 249 WEDNESDAY 2094 176 18.0
09/06/84 250 THUR8DAY 2122 192 18.5
09/87/84 251 FRIDAY 2147 42 24.0
89/18/84 254 MONDAY 2175 25 23.0
09/11/84 255 TUESDAY 2190 10 16.0
09/12/84 256 WEDNESDAY 2213 103 22.5
09/13/84 257 THURSDAY 2262 78 18.0
09/14/84 258 FRIDAY 2257 111 15.5
09/17/84 261 MONDAY 2290 122 24.0
09/18/84 262 TUESDAY 2305 64 23.5
09/19/84 263 WEDNESDAY 2323 128 17.0
09/21/84 265 FRIDAY 2386 104 16.0
09/24/84 268 MONDAY 2413 136 17.0
09/25/84 269 TUESDAY 2398 163 17.5
09/26/84 270 WEDNESDAY 2438 118 18.5
09/26/84 270 WEDNESDAY 2437 121 18.5
25.0 08/20/84
16.5 08/21/84
16.1 08/21/84
17.0 08/22/84
24.0 08/24/84
16.7 08/27/84
24.5 08/28/84
17.8 08/28/84
16.7 08/29/84
17.2 08/30/84
17.1 09/04/84
17.0 09/04/84
18.0 09/05/84
16.0 09/06/84
18.5 09/10/84
16.0 09/10/84
19.0 09/10/84
22.0 09/11/84
23.9 09/12/84
16.2 09/13/84
23.5 09/14/84
18.5 09/18/84
16.0 09/18/84
22.5 09/19/84
24.0 09/20/84
17.2 09/21/84
16.0 09/25/84
17.9 09/26/84
18.0 09/26/84
21.5 09/28/84
18.4 10/01/84
C 08/21/84
B 08/22/84
A
D 08/23/84
D
B
D 08/29/84
C 08/29/84
C 08/30/84
B 08/31/84
A 09/05/84
C
A
B 09/07/84
D
D
D
D
D
A
B
D
A
C
C
c
B
c
A
B
A
09/13/84
09/22/84
09/27/84
1.65
1.90
1.93
0.68
1.06
2.21
0.64
3.70
1.01
0.63
1.86
2.20
2.14
2.24
1.62
1.61
2.60
1.74
0.82
1.99
1.17
0.47
0.51
0.49
0.31
0.50
0.89
0.34
0.65
0.40
0.81
3.64
1.36
0.73
1.93
1.12
1.69
0.54
0.64
3.35
0.61
1.76
2.07
0.88
0.49
0.66
-------
N>
I
Ov
00
u
B:
u
o
5.0
4-.0
3.0
2.0
1 .0
0.0
1 70
PHILADELPHIA, PENNSYLVANIA
1984- SUMMER NMOC STUDY
c
2
If l ¥
r i\
S---_
c
~
A
4
JSr up»
IP y X ir
1 90
210 230
JULIAN DATE
250
270
Figure 2-16. Plot of HM0C Data tor Philadelphia, Pennsylvania.
-------
Table 2-18. Data Listing for Philadelphia, Pennsylvania.
1984 SUMMER MMOC STUDY - PHILADELPHIA, PENNSYLVANIA
to
I
cr>
JULIAN
CAti
(PSIG)
(PSIG)
RADIAN
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
06/28/94
180
THURSDAY
1091
95
16.0
16.5
07/03/84
B
06/29/84
181
FRIDAY
1112
97
12.0
12.5
07/05/84
C
07/02/84
184
MONDAY
1124
102
17.8
18.5
07/06/84
D
07/03/84
185
TUESDAY
1138
119
16.0
16.8
07/09/84
A
07/05/84
187
THURSDAY
1158
149
16.4
16.5
07/10/84
A
07/06/84
188
FRIDAY
1164
33
15.0
15.0
07/11/84
B
07/09/84
191
MONDAY
1192
133
17.8
18.0
07/12/84
D
07/10/84
192
TUESDAY
1208
35
16.0
16.5
07/13/84
D
07/11/84
193
WEDNESDAY
1225
49
16.0
16.5
07/16/84
D
07/12/84
194
THURSDAY
1240
88
16.0
16.7
07/17/84
B
07/13/84
195
FRIDAY
1265
54
15.5
16.0
07/18/84
B
07/16/84
198
MONDAY
1302
130
17.0
17.5
07/19/84
C
07/17/84
199
TUESDAY
1321
98
16.0
16.5
07/21/84
D
07/18/84
200
WEDNESDAY
1340
185
16.3
16.2
07/23/84
A
07/19/84
201
THURSDAY
1356
80
17.0
18.0
07/24/84
A
07/20/84
202
FRIDAY
1375
27
14.9
15.5
07/25/84
B
07/23/84
205
MONDAY
1409
2
17.0
17.6
07/26/04
D
07/24/84
206
TUESDAY
1417
68
16.0
15.0
07/27/84
B
07/25/84
207
WEDNESDAY
1433
94
16.0
17.9
07/27/04
A
•7/26/84
208
THURSDAY
1451
175
16.7
17.2
07/30/04
D
07/27/84
209
FRIDAY
1459
24
16.0
15.8
08/01/84
A
07/30/84
212
MONDAY
1508
192
17.6
18.2
0e/02/04
A
07/31/84
213
TUESDAY
1539
3
16.5
17.0
08/06/04
D
08/01/84
214
WEDNESDAY
1579
47
15.5
16.0
00/06/04
D
00/02/84
215
THURSDAY
1592
119
15.0
16.0
00/08/84
D
00/03/84
216
FRIDAY
1621
115
15.0
15.5
00/00/84
C
00/06/84
219
MONDAY
1622
25
16.0
18.0
08/09/84
A
00/07/04
220
TUESDAY
1664
169
20.0
20.0
08/13/84
D
00/00/84
221
WEDNESDAY
1665
32
20.0
20.0
08/13/84
A
00/09/04
222
THURSDAY
1669
158
17.0
17.0
08/13/84
A
00/10/84
223
FRIDAY
1719
13
15.0
15.0
08/16/84
C
00/13/84
226
MONDAY
1752
67
17.2
17.8
08/17/84
D
08/14/84
227
TUESDAY
1768
121
16.5
17.2
08/17/84
A
08/15/04
228
WEDNESDAY
1790
119
16.5
16.8
08/20/84
B
00/16/84
229
THURSDAY
1799
170
15.8
16.1
08/20/84
B
08/16/84
229
THURSDAY
1798
184
15.0
16.1
08/20/84
C
08/17/84
230
FRIDAY
1849
38
15.0
14.8
08/22/84
B
08/20/84
233
MONDAY
1871
118
16.2
17.0
08/24/84
A
08/21/84
234
TUESDAY
1880
98
17.0
17.2
08/27/84
C
00/22/84
235
WEDNESDAY
1931
74
16.0
17.0
08/28/84
D
08/24/84
237
FRIDAY
1954
9
15.6
15.9
08/29/84
D
EPA RADIAN MHOC NMOC
ANALYSIS PPHC PPHC PPNC
DATE NMOC QAD ESRL-GC
07/09/84
07/10/84
07/16/84
07/16/84
07/19/84
07/24/84
077/24/84
07/27/84
08/09/84
08/14/84
08/21/84
08/25/84
0.80
1.08
0.89
0.80
1.00
1.03
2.19
0.95
1.26
0.53
0.96
0.90
0.73
0.92
0.43
2.16
1.36
0.62
0.51
1.35
0.85
1.16
1.18
1.57
1.48
0.72
0.58
0.59
0.60
1.01
1.14
1.05
0.94
0.85
0.62
0.57
0.53
0.30
0.74
1.07
0.45
1.50
1.33
1.35
1.27
1.46
1.54
0.85
0.73
1.61
0.79
0.77
0.53
0.64
0.58
-------
Table 2-18. Data Listing for Philadelphia, Pennsylvania, (cont.)
1984 SUMMER NMOC STUDY - PHILADELPHIA, PENNSYLVANIA
K)
I
O
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
DATE
DATE
SAMPLED
RADIAN
WO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
SAMPLED
SAMPLED
WEEKDAY
LAB ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
•••vctsi
B BIIIBKC;
m mmmmmmmm
¦CCCSSCB KEK
KBBMBWK SIBBHftt XSBBBBK
08/27/84
240
MONDAY
1983
62
16.8
17.6
08/30/84
C
08/28/84
241
TUESDAY
2010
142
17.0
17.8
08/31/64
B
08/29/84
242
WEDNESDAY
2028
83
16.3
16.5
09/04/84
C
08/30/84
243
THURSDAY
2044
137
15.8
16.0
09/05/84
A
08/30/84
243
THURSDAY
2043
87
15.8
16.0
09/05/84
B
08/31/84
244
FRIDAY
2080
60
15.0
14.0
09/07/84
D
09/04/84
248
TUESDAY
2098
63
17.5
17.5
09/07/84
C
09/05/84
249
WEDNESDAY
2116
44
16.3
17.0
09/10/84
D
09/06/84
250
THURSDAY
2162
171
16.5
17.8
09/11/84
B
09/10/84
254
MONDAY
2192
120
17.0
18.5
09/13/84
C
09/12/84
256
WEDNESDAY
2231
157
13.5
14.1
09/17/84
D
09/13/84
257
THURSDAY
2273
73
16.5
17.2
09/19/84
C
09/14/84
258
FRIDAY
2272
154
15.0
15.5
09/19/84
B
09/17/84
261
MONDAY
2304
86
18.0
13.5
09/20/84
C
09/19/84
263
WEDNESDAY
2358
132
16.9
17.5
09/24/84
E
09/20/84
264
THURSDAY
2368
13
16.8
17.0
09/25/84
D
09/21/84
265
FRIDAY
2399
68
15.0
16.0
09/26/84
B
09/24/84
268
MONDAY
2419
131
17.8
17.0
09/28/84
A
09/25/84
269
TUESDAY
2444
84
16.8
16.6
10/01/84
B
09/26/84
270
WEDNESDAY
2469
98
16.0
16.5
10/02/84
B
09/27/84
271
THURSDAY
2496
154
16.8
17.0
10/02/84
B
09/28/84
272
FRIDAY
2502
61
15.5
16.5
10/03/84
C
EPA RADIAN NMOC
ANALYSIS PPMC PPMC
DATE NMOC QAD
08/31/84
09/H/84
09/26/84
2.20
0.58
0.94
0.95
0.84
0.53
1.02
0.65
0.27
1.29
0.77
1.96
0.89
1.66
1.55
2.04
0.63
1.38
3.10
1.04
0.59
0.83
NMOC
PPMC
ESRL-GC
2.05
0.65
0.81
1.95
0.50
-------
2-71
-------
5.0
RICHMOND, VIRGINIA
1984 SUMMER NMOC STUDY
4.0
ro
I
ho
s
k
u
o
3.0
.0
1 .0
0.0
1 70
1 90
230
JULIAN DATE
250
270
figure 2-17. Plot of NMOC Data for Richaond, Virginia.
-------
Table 2-19. Data Listing for Richaond, Virginia.
1984 SUMMER NMOC STUDY - RICHMOND, VIRGIHIA
DATE
EPA
RADIAN
JULIAN CAN (PSIG) (PSIG) RADIAN RADIAN
DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPMC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC
NMOC
PPMC
QAD
NMOC
PPMC
ESRL-GC
¦ UBMCM
N>
I
U>
06/27/84 179 WEDNESDAY 1056
06/29/84 181 PRIDAY 1083
07/02/84 184 MONDAY 1093
07/03/84 185 TUESDAY 1099
07/04/84 186 WEDNESDAY 1120
07/05/84 187 THURSDAY 1115
07/06/84 188 PRIDAY 1140
07/09/84 191 MONDAY 1147
07/10/84 192 TOESDAY 1162
07/12/84 194 THURSDAY 1206
07/13/84 195 PRIDAY 1219
07/16/84 198 MONDAY 1248
07/17/84 199 TUESDAY 1262
07/18/84 200 NEONESDAY 1288
07/19/84 201 THURSDAY 1313
07/20/84 202 PRIDAY 1330
87/23/84 205 MONDAY 1350
07/24/84 206 TUESDAY 1385
07/25/84 207 WEDNESDAY 1400
07/27/84 209 PRIDAY 1435
07/30/84 212 MOMMY 147C
07/31/84 213 TUESDAY 1501
08/01/84 214 WEDNESDAY 1516
08/01/84 214 WEDNESDAY 1515
08/02/84 215 THURSDAY 1556
08/03/84 216 PRIDAY 1561
08/06/84 219 MONDAY 1583
08/07/84 220 TUESDAY 1612
00/08/84 221 KEDNE8DAY 1632
08/09/84 222 THURSDAY 1653
08/10/84 223 PRIDAY 1682
08/13/84 226 MONDAY 1700
08/14/84 227 TUESDAY 1730
08/15/84 228 WEDNESDAY 1743
08/16/84 231 THURSDAY 1767
08/17/84 230 PRIDAY 1805
08/20/84 233 MONDAY 1820
08/21/84 234 TUESDAY 1840
08/22/84 235 WEDNESDAY 1658
08/23/84 236 THURSDAY 1893
08/24/84 237 PRIDAY 1897
86
85
98
114
150
24
134
22
51
63
62
165
114
198
163
137
11
1
46
120
178
34
157
96
65
80
48
63
151
15
96
186
2
47
46
132
24
162
114
153
139
13.5
22.5
22.0
14.5
21.5
14.0
14.5
22.0
14.5
21.5
14.0
14.0
14.5
22.5
14.0
14.0
13.8
17.0
22.5
13.8
22.5
22.5
16.0
16.0
14.0
13.8
21.8
22.0
22.5
14.2
14.2
21.5
15.0
16.5
13.5
14.0
14.0
24.5
16.0
13.5
15.0
13.5
22.3
22.0
15.0
22.0
14.0
14.5
22.8
15.0
21.0
14.5
14.0
15.0
23.0
14.0
15.0
14.0
15.0
23.5
13.5
22.0
22.8
16.1
16.1
14.5
15.0
22.5
20.5
22.0
15.0
15.0
22.0
15.1
16.1
14.0
14.0
14.0
24.5
16.5
14.0
15.1
06/29/84
07/03/84
07/03/84
07/05/84
07/06/84
07/06/84
07/09/84
07/10/84
07/11/84
07/13/84
07/16/84
07/17/84
07/18/84
07/19/84
07/20/84
07/23/84
07/24/84
07/25/84
07/26/84
07/30/84
08/01/84
08/01/84
08/02/84
08/02/84
08/06/84
08/06/84
08/07/84
08/08/84
08/09/84
08/10/84
08/13/84
08/15/84
08/16/84
08/16/84
08/17/84
08/20/84
08/21/84
08/22/84
08/24/84
08/27/84
08/28/84
D 07/02/84
0.63
0.69
A
1.07
D
0.89
A 07/10/84
0.64
0.58
B
0.58
A
0.33
B 07/10/84
0.44
0.44
D
0.54
B
0.43
B 07/17/84
0.60
0.54
B 07/17/84
0.59
0.84
B 07/19/84
0.37
0.47
B 07/19/84
0.27
0.53
D
0.47
D 07/23/84
0.77
1.13
B
0.56
C
0.51
A 07/26/84
1.18
1.53
B 07/27/84
0.41
0.36
B
0.35
D
0.39
C
0.73
D
0.32
D
0.32
C
0.34
D 08/03/84
0.42
0.37
A
0.57
C
0.75
D
0.83
D 08/11/84
1.22
1.05
D
0.52
B 08/16/84
0.59
0.52
D
0.71
B
0.52
A
0.50
B
0.55
A 08/22/84
0.20
0.18
0.35
0.49
0.40
C 08/23/84
0.64
A 08/25/84
0.49
D 08/28/84
0.38
C
0.44
-------
Table 2-19. Data Listing for Richmond, Virginia, (cont.)
1984 SUMNER NMOC STUDY - RICHMOND, VIRGINIA
JULIAN CAM
DATE DATE SAMPLED RADIAN NO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIG) RADIAN RADIAN
PRESSURE PRESSURE ANALYSIS NMOC
SAMPLED RECEIVED DATE INST
08/24/B4 237 FRIDAY 1896
08/27/84 240 MONDAY 1923
08/28/84 241 TUESDAY 1967
08/29/84 242 WEDNESDAY 1975
08/30/84 243 THURSDAY 1997
08/31/84 244 FRIDAY 2020
09/04/84 248 TUESDAY 2089
09/05/84 249 WEDNESDAY 2065
09/06/84 250 THURSDAY 2101
09/07/84 251 FRIDAY 2112
09/11/84 255 TUESDAY 2177
09/12/84 256 WEDNESDAY 2197
09/13/84 257 THURSDAY 2209
09/14/84 258 PRIDAY 2242
09/17/84 261 MOMOAY 2265
09/18/84 262 TUESDAY 2274
09/19/84 263 WEDNESDAY 2300
09/20/84 264 THURSDAY 2324
09/21/84 265 FRIDAY 2347
09/24/84 268 MONDAY 2371
09/25/84 269 TUESDAY 2403
09/26/84 270 WEDNESDAY 2427
09/28/84 272 FRIDAY 2478
EPA RADIAN NMOC
ANALYSIS PPMC PPHC
DATE NMOC QAD
UI8BCB1
176 15.0 14.8 08/27/84 B 08/28/84
171 14.5 15.1 08/28/84 D 08/29/84
144 25.4 27.0 08/29/84 D
113 15.5 15.9 08/30/84 D
130 13.5 14.8 08/31/84 B
85 13.5 13.5 09/04/84 D
78 14.5 14.2 09/06/84 D
172 14.5 15.0 09/06/84 B
186 13.5 14.2 09/07/84 A
159 14.5 15.5 09/10/84 D 09/11/84
59 14.5 15.6 09/12/84 C 09/13/84
70 15.0 16.0 09/13/84 D
87 14.5 14.5 09/14/84 C
161 13.5 13.6 09/18/84 A
14 14.5 14.0 09/18/84 C
107 14.5 14.9 09/19/84 D
146 14.5 15.1 09/20/84 B
192 16.0 16.9 09/21/84 D 09/22/84
150 14.0 14.0 09/24/84 A
138 14.0 14.5 09/25/84 D 09/26/84
25 14.2 14.5 09/27/84 D
180 21.2 21.1 09/28/84 D
94 14.3 14.3 10/02/84 C
0.49
0.39
0.06
0.21
0.38
0.71
0.50
0.39
0.19
0.95
0.39
0.56
0.16
0.42
0.32
0.67
0.97
0.48
0.81
0.32
0.49
0.67
0.27
KMOC
PPMC
ESRL-GC
0.41
0.35
0.61
0.40
0.44
0.59
-------
2-75
-------
TEXAS CITY, TEXAS
1984- SUMMER NMOC STUDY
JULIAN DATE
Figure 2-18. Plot of HMOC Data for Te*a» City, Te*a».
-------
Figure 4-14 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 4.00
BETA • 6.00
01
.000 1.000
- ~ ~
1.500 ~
2.000
3.000
4.000
~
1.000 ~
.500 ~
.000 ~
-.500 ~
I 1
14 1 2 1 211 l 2 1
1 125144 41111
1341232214
I 1
1 1
11
1
------
.000
1.000 2.000
NMOCBAR
THE FOLLOWING RESULTS ARK POR:
ALPHA ¦ 9.00
BETA ¦ I.00
01
.000 1.000
-~
2.000
-.250 ~
1.000 2.000
NMOCBAR
THE FOLLOWINC RESULTS ARE POR:
ALPHA - 9.00
BETA ¦ 2.00
01
.000 1.000
...........
.090 ~
S
.000 ~ 1
2.000
3.000
4.000
3.000
3.000
3.000
4.000
+
-.050 ~
1 1
-.100 ~
t
-.150 ~
4
«
I
-.200 ~
-.290 ~
.000
1.000
2.000
4-67
3.000
~
4.000
-------
Figure 4-14 (cont.)
NHOCBAR
THE FOLLOWING RESULTS ARE FOR:
ALPHA ¦ 3.00
BETA * 3.00
DI
.000 1.000
-~
.100 +
.000
-. 100
.200
-.300
2.000
1.000 2.000
NHOCBAR
3.000
3.000
4.000
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 5.00
BETA ¦ 4.00
01
.000 .500 1.000 1.500 2.000 2.500 3.000
-+ ~ + ~ f ~ ~-
.100 ~ ~
: i
.000 +
-.100 ~
.200 *
-.300 ~
.000
1 1
.500
1.000
NHOCBAR
1.500 2.000 2.500
3.000
4-68
-------
Table 2-20.
1984 SUMMER NHOC STUDY - TEXAS CITY, TEXAS
Data Listing for Texas City, Texas.
JULIAN CAN
DATE DATE SAMPLED RADIAN NO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIG) RADIAN RADIAN
PRESSURE PRESSURE ANALYSIS NHOC
EPA
RADIAN NMOC
— • nnnuiaio IWfUC ANALYSIS PPNT PDUT*
SAMPLED RECEIVED DATE INST DATE NMOC
QAD
NMOC
PPMC
ESRL-GC
06/20/84
06/21/84
06/22/84
06/25/84
06/26/84
06/26/84
06/27/84
06/28/84
06/29/84
07/02/84
07/03/84
07/04/84
07/10/84
07/11/84
07/12/84
07/13/84
07/16/84
07/17/84
07/18/82
07/18/84
07/19/84
07/20/84
07/23/84
07/24/84
07/26/84
87/27/84
07/30/84
07/31/84
08/01/84
08/02/84
08/03/84
08/06/84
08/07/84
08/08/84
08/09/84
08/10/84
08/13/84
08/14/84
08/15/84
08/16/84
08/17/84
172 WEDNESDAY
173 THURSDAY
174 FRIDAY
177 MONDAY
178 TUESDAY
178 TUESDAY
179 WEDNESDAY
180 THURSDAY
161 FRIDAY
184 MONDAY
185 TUESDAY
186 WEDNESDAY
192 TUESDAY
193 WEDNESDAY
194 THURSDAY
195 FRIDAY
198 MONDAY
199 TUESDAY
200 WEDNESDAY
200 WEDNESDAY
201 THURSDAY
202 FRIDAY
205 MONDAY
206 TUESDAY
208 THURSDAY
209 FRIDAY
212 MOVOAY
213 TUESDAY
214 WEDNESDAY
215 THURSDAY
216 FRIDAY
219 MONDAY
220 TUESDAY
221 WEDNESDAY
222 THURSDAY
223 FRIDAY
226 MONDAY
227 TUESDAY
228 WEDNESDAY
229 THURSDAY
230 FRIDAY
1008
27
0.0
1019
36
17.5
1024
48
16.0
1038
60
17.8
1054
66
18.0
1055
73
18.0
1048
75
16.0
1064
93
15.8
1072
106
1E.0
1088
124
17.8
1111
141
16.8
1130
7
10.1
1176
34
17.5
1196
78
21.9
1202
70
18.0
1235
94
17.0
1257
110
19.0
1272
118
16.8
1312
12
25.0
1311
52
25.0
1332
4
17.8
1344
56
17.0
1378
144
17.5
1397
127
17.0
1474
160
25.0
1483
198
16.0
1517
162
17.5
1528
171
17.0
1548
56
19.0
1558
177
18.0
1595
59
17.0
1604
187
17.5
1635
54
17.0
1660
178
18.0
1672
179
18.0
1703
8
17.0
1726
74
17.0
1744
161
17.0
1762
143
17.5
1795
110
18.0
1811
50
16.0
16.5
18.0
16.5
18.0
18.0
18.0
16.0
16.0
15.5
18.0
17.0
11.0
18.0
22.0
18.0
17.0
20.0
17.0
25.0
24.0
17.5
17.5
18.0
18.0
25.0
16.0
17.2
17.5
11.7
18.2
16.5
17.8
17.5
17.5
18.0
16.5
17.5
17.6
18.1
18.7
16.9
06/21/84
06/22/84
06/25/84
06/26/84
06/28/84
06/28/84
06/28/84
06/29/84
07/02/84
07/03/84
07/05/84
07/06/84
07/11/84
07/12/84
07/13/84
07/16/84
07/17/84
07/18/84
07/20/84
07/20/84
07/23/84
07/24/84
07/25/84
07/26/84
07/31/84
08/01/84
08/02/84
08/02/84
08/06/84
08/06/84
08/08/84
08/08/84
08/09/84
08/13/84
08/13/84
08/15/84
08/15/84
08/17/84
08/17/84
08/20/84
08/21/84
A 06/22/84
B 06/25/84
C 06/26/84
B 06/27/84
C 06/26/84
06/29/84
07/03/84
07/05/84
C
D
C
C
A
A
C 07/10/84
B 07/12/84
D
C
D 07/19/84
B 07/19/84
D
C
B
C
B 07/27/84
A
C
C
C 08/03/84
D
C
B 08/03/84
A
A
B
A 08/10/84
B
D
D
A
D
D
C 08/21/84
D
1.01
1.29
1.10
0.66
0.96
1.01
0.37
0.81
0.73
1.59
1.89
0.89
0.99
0.65
0.82
0.74
0.79
0.82
0.81
1.07
1.05
0.57
1.28
0.29
1.90
2.35
0.28
0.40
4.74
1.23
0.63
1.96
0.82
0.35
0.90
0.76
1.17
0.95
1.82
0.92
0.75
1.22
1.00
0.49
0.84
1.60
1 .15
1.13
1.26
0.58
0.79
0.71
0.87
1.17
2.09
4.70
0.76
0.97
-------
Table 2-20. Data Listing for Texas City, Texas, (cont.)
1984 SUMMER NHOC
STUDY - TEXAS
CITY
, TEXAS
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
EPA
RADIAN
NMOC NHOC
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
PPMC PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
QAD ESRL-GC
CSSCESCg BCEEBFEI
u mmmmommm imcsccc kkc
SCS6I
¦lESStBt: BECU*II
I taatttH ctusi
(BB SS BKKK8K
cc^srccc kcsbcbsscss
08/20/84
233
MONDAY
1843
85
17.5
16.5
08/22/84
C
08/23/84
0.32
0.32
08/21/84
234
TUESDAY
1867
26
17.5
17.5
08/24/84
C
0.47
08/22/84
235
WEDNESDAY
1888
7
18.0
17.5
08/27/84
B
0.86
08/23/84
236
THURSDAY
1895
63
18.0
18.2
08/27/84
A
08/29/84
0.73
08/24/84
237
PRIDAY
1930
13
16.0
16.2
08/28/84
D
0.78
0.74
08/27/84
240
NOWAY
1966
61
18.0
18.0
08/29/84
B
0.44
08/28/84
241
TUESDAY
1981
119
17.0
18.1
08/30/84
D
08/31/84
0.46
0.41
08/29/84
242
WEDNESDAY
2005
56
20.0
17.8
08/31/84
A
09/03/84
4.36
4.28 3.72
08/30/84
243
THURSDAY
2026
123
18.0
18.0
09/04/84
B
0.43
08/31/84
244
PRIDAY
2037
21
16.0
16.4
09/05/84
C
0.48
09/03/84
247
MONDAY
2083
161
17.5
17.5
09/06/84
B
0.25
09/04/84
248
TUESDAY
2075
96
18.0
17.9
09/06/84
D
0.60
09/04/84
248
TUESDAY
2074
65
18.0
17.9
09/06/84
C
0.60
09/07/84
251
PRIDAY
2148
102
16.0
17.5
09/11/84
C
0.40
09/10/84
254
MONDAY
2179
125
17.5
18.5
09/12/84
A
0.83
09/11/84
255
TUESDAY
2188
119
17.0
18.0
09/13/84
C
09/14/84
0.73
0.72
09/13/84
257
THURSDAY
2232
21
18.0
18.5
09/17/84
A
1.43
09/14/84
258
PRIDAY
2248
22
16.0
16.5
09/18/84
D
1.32
09/17/84
261
MONDAY
2295
27
19.0
18.9
09/19/84
D
0.14
09/18/84
262
TUESDAY
2313
66
17.0
17.9
09/20/84
A
0.45
09/19/84
263
WEDNESDAY
2338
31
17.0
18.0
09/21/84
B
0.20
09/20/84
264
THURSDAY
2354
77
19.0
19.5
09/24/84
D
0.32
09/20/84
264
THURSDAY
2353
130
19.0
20.0
09/24/84
D
09/25/84
0.31
0.33
09/21/84
265
PRIDAY
2391
141
15.5
16.0
09/26/84
D
0.35
09/24/84
268
MONDAY
2389
148
18.0
18.9
09/26/84
D
0.94
09/25/84
269
TUESDAY
2432
17
17.0
17.5
09/28/84
B
09/29/84
0.58
0.54
09/27/84
271
THURSDAY
2458
79
18.0
17.0
10/01/84
D
0.60
09/28/84
272
PRIDAY
2488
143
16.0
15.5
10/02/84
B
0.23
-------
2-79
-------
5.0
WASHINGTON, D.C.
1984 SUMMER NMOC STUDY
4.0
M
I
00
O
Q
2
B:
U
O
2
3.0
2.0
1 .0
0.0
1 70
230
JULIAN DATE
Figure 2-19.
Plot of MM0C Data for Washington, D.C.
-------
Table 2-21. Data Listing for Washington, D.C.
1984 SUMNER NMOC STUDY - WASHINGTON, D.C.
JULIAH CAN (PSIG) (PSIG) RADIAN RADIAN EPA RADIAN NMOC NMOC
DATE DATE SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NHOC ANALYSIS PPMC PPHC PPNC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC QAD ESRL-GC
eseckcc:
06/2e/84
180
THURSDAY
1119
87
16.0
06/29/84
181
FRIDAY
1118
100
16.0
07/02/84
184
MONDAY
1114
118
16.0
07/03/84
185
TUESDAY
1141
136
15.0
07/04/84
186
WEDNESDAY
1151
13
17.5
07/06/84
188
FRIDAY
1182
55
17.0
07/06/84
188
FRIDAY
1183
53
17.0
07/09/84
191
nOWAY
1186
1
18.5
07/10/84
192
TUESDAY
1221
8
16.0
07/11/84
193
WEDNESDAY
1220
81
15.0
07/12/84
194
THURSDAY
1243
86
16.5
07/13/84
195
FRIDAY
1270
142
17.0
07/16/84
198
MONDAY
1291
174
16.0
07/17/84
199
TUESDAY
1316
154
16.0
07/18/84
200
WEDNESDAY
1339
153
0.0
07/19/84
201
THURSDAY
1364
36
19.0
07/20/84
202
FRIDAY
1386
119
17.0
07/23/84
205
MON)AY
1405
121
16.0
07/24/84
206
TUESDAY
1416
57
16.0
•7/2S/84
207
WEDNESDAY
1445
82
16.0
07/27/84
209
FRIDAY
1464
101
20.0
07/27/84
209
FRIDAY
1496
164
17.0
07/30/84
212
MONDAY
1512
179
16.0
07/31/84
213
TUESDAY
1559
176
12.0
08/01/84
214
WEDNESDAY
1571
107
18.0
08/02/84
215
THURSDAY
1597
36
18.0
08/03/84
216
FRIDAY
1605
141
18.0
08/06/84
219
MONDAY
1623
57
17.0
08/07/84
220
TUESDAY
1662
88
16.0
08/08/84
221
WEDNESDAY
1690
91
16.0
08/09/84
222
THURSDAY
1708
101
17.3
08/10/84
223
FRIDAY
1712
11
17.0
08/13/84
226
MONDAY
1756
43
15.8
08/14/84
227
TUESDAY
1780
73
16.0
08/14/84
227
TUESDAY
1781
76
16.0
08/15/84
228
WEDNESDAY
1786
196
16.2
08/20/84
233
MONDAY
1899
44
17.2
08/21/84
234
TUESDAY
1916
88
16.5
08/22/84
235
WEDNESDAY
1911
91
16.3
08/23/84
236
THURSDAY
1921
52
20.0
08/24/84
237
FRIDAY
1922
11
18.0
16.2 07/06/84
C 07/09/84
0.94
1.77
17.0 07/06/84
B 07/10/84
0.58
0.54
16.0 07/06/84
A
0.66
15.5 07/09/84
C
1.02
18.0 07/10/84
C 07/13/84
0.49
0.42
17.0 07/12/84
B
0.55
17.5 07/12/84
C
0.56
13.0 07/12/84
D 07/16/84
1.75
1.54
16.5 07/16/84
D
0.81
1.34
16.0 07/16/84
A 07/19/84
1.35
17.0 07/17/84
D
0.46
17.5 07/18/84
D
0.34
16.0 07/19/84
C
0.86
16.5 07/20/84
D 07/24/04
0.98
0.86
16.0 07/23/84
D
0.91
16.8 07/24/84
D
0.84
10.0 07/25/84
C
0.71
16.9 07/26/84
D
0.71
17.0 07/27/84
A
0.72
16.5 07/30/84
A
0.43
20.5 08/01/84
B 08/03/84
0.68
0.56
17.8 08/01/84
C
0.56
16.6 08/02/84
C
0.53
12.1 08/06/84
B
1.30
18.8 08/07/84
D
0.68
10.0 08/07/84
D
1.47
18.5 08/08/84
C 08/09/84
0.80
0.69
17.0 08/09/84
B 08/13/84
0.51
1.02
16.0 08/13/84
A
0.76
16.1 08/13/84
C
0.57
17.2 08/14/84
B 08/15/84
0.84
0.76
17.0 08/15/84
B 08/16/84
1.09
1.30
15.6 08/17/84
C 08/20/84
0.71
0.67
16.0 08/20/84
C
0.68
16.0 08/20/84
D
0.65
16.5 08/20/84
B
0.50
15.2 08/20/84
C
0.96
17.0 08/28/84
C
0.55
17.0 08/28/84
D
0.45
12.5 08/28/84
C
2.93
18.7 08/28/84
A
0.47
-------
Table 2-21. Data Listing for Washington,
1984 SUMMER NMOC STUD* - WASHINGTON, D.C.
D.C. (cont.)
EPA
RADIAN
N>
I
00
N>
£?!£ H „ CAN (PSIG) (PSIG) RADIAN RADIAN
!L„ SAMPLED RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC ANALYSIS PPHC
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED SAMPLED RECEIVED DATE INST DATE NMOC
NMOC
PPHC
QAD
NMOC
PPMC
ESRL-GC
08/27/84 240 MONDAY 1990 70
08/28/84 241 TUESDAY 2003 46
08/29/84 242 WEDNESDAY 2030 196
08/30/84 243 THURSDAY 2059 103
08/31/84 244 FRIDAY 2090 162
09/04/84 248 TUESDAY 2100 114
09/05/84 249 WEDNESDAY 2136 39
09/06/84 250 TH0R8DAY 2163 100
09/07/84 251 PRIDAY 2182 61
09/10/84 254 MONDAY 2198 140
09/11/84 255 TUESDAY 2217 190
09/12/84 256 WEDNESDAY 2238 62
09/13/84 257 THURSDAY 2253 137
09/14/84 258 PRIDAY 2284 96
09/17/84 261 MONDAY 2306 188
09/18/84 262 TUESDAY 2334 94
09/19/84 263 WEDNESDAY 2345 199
09/20/84 264 THURSDAY 2379 100
09/21/84 265 FRIDAY 2396 57
09/24/84 268 MOMMY 2420 116
09/26/84 270 WEDNESDAY 2464 78
09/27/84 271 THUR8DAY 2481 88
17.0 17.1 08/30/84
16.2 17.0 08/31/84
15.9 16.4 09/04/84
17.4 15.0 09/05/84
17.0 17.5 09/06/84
17.1 17.5 09/07/84
16.3 17.0 09/10/84
17.8 18.5 09/12/84
17.9 19.0 09/12/84
17.0 17.5 09/13/84
16.5 17.9 09/14/84
16.3 15.5 09/17/84
18.0 19.1 09/18/84
17.3 17.5 09/19/84
19.7 18.5 09/20/84
17.0 18.0 09/21/84
16.9 17.9 09/24/84
17.8 18.1 09/26/84
17.5 17.2 09/26/84
18.1 18.0 09/28/84
16.7 16.5 10/01/84
18.4 19.5 10/02/84
C 08/31/84
B 09/04/84
B
A
A
D 09/10/84
C
D
B
C
D
A
A
E
D
A
A
C
D
B
D
B
09/20/84
09/24/84
09/25/84
10/02/84
0.65
0.56
0.52
0.66
0.43
0.53
0.40
0.53
1.10
0.83
0.80
0.69
0.76
0.57
0.99
1.27
1.59
1.33
0.98
0.93
0.89
0.39
0.60
0.62
0.58
0.90
1.34
0.52
1.45
0.87
-------
2-83
-------
5.0
ORANGE, TEXAS
1984 SUMMER NMOC STUDY
4.0
•JULIAN DATE
Figure 2-20. Plot of NMOC Data for West Orange, Texas.
-------
Table 2-22.
1984 SUMMER NMOC STUDY - ORANGE, TEXAS
JULIAN CAN
DATE DATE SAMPLED RADIAN NO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
06/19/84
06/20/84
06/21/84
06/22/84
06/26/84
06/27/84
06/28/84
06/29/84
07/02/84
87/04/84
07/06/84
07/06/84
07/09/84
07/11/84
•7/12/84
•7/13/84
•7/16/04
07/17/84
07/18/84
07/19/84
•7/20/84
07/23/84
07/24/84
07/2S/84
07/26/84
07/27/84
07/30/84
•7/31/84
08/01/84
08/02/84
08/03/84
08/06/84
08/07/84
08/08/84
08/09/84
08/09/64
08/10/84
08/13/04
08/14/84
08/15/84
08/16/84
171 TUESDAY
172 WEDNESDAY
173 THURSDAY
174 FRIDAY
178 TUESDAY
179 WEDNESDAY
180 THURSDAY
181 FRIDAY
184 MONDAY
186 WEDNESDAY
188 FRIDAY
188 FRIDAY
191 MONDAY
193 WEDNESDAY
194 THURSDAY
195 FRIDAY
198 MONDAY
199 TUESDAY
200 WEDNESDAY
201 THURSDAY
202 FRIDAY
205 MONDAY
206 TUESDAY
207 WEDNESDAY
208 THURSDAY
209 FRIDAY
212 MOMMY
213 TUESDAY
214 WEDNESDAY
215 THURSDAY
216 FRIDAY
219 MOTOAY
220 TUESDAY
221 WEDNESDAY
222 THURSDAY
222 THURSDAY
223 FRIDAY
226 MONDAY
227 TUESDAY
228 WEDNESDAY
229 THURSDAY
1012
1032
1030
1045
1059
1066
1077
1097
1125
1157
1171
1170
1190
1215
1263
1279
1275
1304
1326
1347
1359
1412
1398
1443
1460
1466
1497
1552
1550
1569
1615
1640
1637
1670
1667
1668
1718
1711
1746
1774
1784
17
22
32
41
65
81
89
104
130
29
32
42
45
68
69
164
87
132
29
76
67
77
88
83
173
167
163
31
7
144
83
118
182
98
157
19
147
197
81
102
115
Data Listing for West Orange, Texas.
(PSIG) (PSIG) RADIAN RADIAN EPA RADIAN
PRESSURE PRESSURE ANALYSIS NNOC ANALYSIS PPNC
SAMPLED RECEIVED DATE INST DATE NMOC
NUOC
PPNC
QAD
NMOC
PPNC
ESRL-GC
25.5 23.5 06/25/84
13.0 11.5 06/25/84
19.0 17.0 06/25/84
19.0 17.5 06/27/84
21.5 19.5 06/29/84
19.0 17.0 06/29/84
19.0 17.3 07/02/84
20.0 18.0 07/05/84
19.5 17.5 07/06/84
19.0 17.3 07/10/84
18.8 16.5 07/11/84
18.8 16.5 07/11/84
30.0 28.5 07/12/84
16.0 13.0 07/16/84
22.0 19.0 07/18/84
16.0 13.0 07/18/84
20.0 17.5 07/18/84
19.0 16.5 07/19/84
19.0 16.5 07/21/84
19.0 17.0 07/24/84
17.0 14.7 07/24/84
20.0 18.0 07/26/84
26.0 24.5 07/26/84
19.5 17.0 07/30/84
19.5 17.2 07/31/84
19.5 17.0 08/01/81
20.0 18.0 08/01/84
26.0 23.7 08/06/84
19.5 16.5 08/06/84
19.0 17.0 08/07/84
26.0 24.3 08/08/84
26.5 24.5 08/09/84
19.4 17.1 08/09/84
19.5 17.0 08/13/84
18.0 15.7 08/13/84
18.0 15.3 08/13/84
0.0 17.1 08/16/84
20.0 18.1 08/15/84
26.0 23.1 08/16/84
16.0 14.8 08/17/84
29.0 29.5 08/20/84
= S EBESCBB
C 06/26/84
0.88
0.85
C 06/26/84
1.11
1.06
A 06/26/84
0.76
0.85
D 06/28/84
1.03
1.17
C 06/29/84
1.47
1.18
E 07/02/84
0.68
0.82
D
0.76
C
0.78
A
0.80
D 06/11/84
0.21
0.33
A
1.28
C 07/12/84
1.25
1 .33
A 07/16/84
0.82
0.70
A
1.52
A 07/19/84
0.77
0.90
D
0.52
C
0.49
D
0.50
D
0.72
C 07/25/84
0.66
0.74
C 07/27/84
0.48
0.54
A
0.44
A
0.52
D
0.48
B 08/03/84
0.80
0.66
D
0.96
A 08/03/84
0.29
0.28
B
0.32
D
0.81
D
0.41
A
0.70
C 08/10/84
0.81
0.71
D
0.35
C 08/14/84
0.30
0.42 0.29
C
0.38
D
0.33
C
0.94
C
0.85
B
1.38
C 08/20/84
0.67
0.67
A
0.68
-------
Table 2-22.
1964 SUMNER NMOC STUDY - ORANGE, TEXAS
Data Listing for West Orange, Texas, (cont.)
to
i
oo
JULIAN
CAN
(PSIG)
DATE
DATE
SAMPLED RADIAN
110.
PRESSURE
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
08/17/84
230
FRIDAY
1814
140
¦ KWCVBI
20.0
08/20/84
233
MOMMY
1665
116
21.8
08/21/84
234
TUESDAY
1873
21
19.5
08/22/84
235
WEDNESDAY
1883
51
18.5
08/23/84
236
THURSDAY
1933
164
19.8
08/24/84
237
FRIDAY
1935
107
20.0
08/27/84
240
MONDAY
1971
181
19.0
08/27/84
240
MOM>AY
1972
140
19.0
08/28/84
241
TUESDAY
2049
68
19.8
08/29/84
242
WEDNESDAY
2045
131
20.5
08/30/84
243
THURSDAY
2057
169
13.0
08/31/84
244
FRIDAY
2055
23
17.0
09/05/84
249
WEDNESDAY
2130
30
21.0
09/06/84
250
THURSDAY
2114
107
18.0
09/07/84
251
FRIDAY
2158
80
16.0
09/10/84
254
MONDAY
2219
89
20.0
09/11/84
255
TUESDAY
2224
187
19.5
09/13/84
257
THURSDAY
2277
81
19.0
09/14/84
258
FRIDAY
2279
1133
17.5
09/17/84
261
MONDAY
2293
19
18.0
09/18/84
262
TUESDAY
2340
67
17.5
09/19/84
263
WEDNESDAY
2337
61
17.0
09/20/84
264
THURSDAY
2369
69
17.0
09/21/84
265
FRIDAY
2378
178
17.5
09/24/84
268
NOWAY
2412
105
16.5
09/25/84
269
TUESDAY
2442
40
23.5
09/25/84
269
TUESDAY
2243
19
23.5
09/26/84
270
WEDNESDAY
2477
128
17.0
09/27/84
271
THURSDAY
2470
134
16.0
09/28/84
272
FRIDAY
2480
153
16.0
(PSIG) RADIAN RADIAN
PRESSURE ANALYSIS NMOC
RECEIVED DATE INST
EPA RADIAN NMOC NKOC
ANALYSIS PPHC PPMC PPMC
DATE NMOC QAD ESRL-GC
ceccccsr.
BSBStres
17.5 08/21/84 A 0.63
19.5 08/24/84 C 0.33
17.0 08/24/84 A 0.65
16.6 08/27/84 B 1.41
17.4 08/29/84 D 0.94
17.8 08/29/84 C 08/30/64 0.57
17.1 08/29/84 C 0.89
17.0 08/30/84 D 0.90
17.5 09/06/84 D 1.00
12.0 09/05/84 D 3.35
11.1 09/06/84 A 09/07/84 0.96
18.0 09/05/84 B 0.52
20.0 09/10/84 C 0.33
18.0 09/10/84 B 0.50
16.5 09/11/84 C 09/12/84 0.55
20.5 09/14/84 B 0.25
20.0 09/14/84 B 1.37
15.9 09/19/84 C 0.50
15.5 09/19/84 D 09/20/64 0.33
16.5 09/19/84 C 0.13
18.1 09/21/84 D 09/22/84 0.34
17.5 09/21/84 A 0.26
15.0 09/25/84 A 0.25
15.5 09/25/84 C 0.21
12.9 09/27/84 A 09/28/84 0.71
20.5 10/01/84 D 0.33
10.0 10/01/84 C 0.32
1C.8 10/02/84 D 0.22
15.5 10/02/84 B 0.49
14.5 10/02/84 B 0.16
0.61
0.39
1.06
0.51
0.30
0.49
0.67
-------
2-87
-------
1.0
WEST PALM BEACH, FLORIDA
1984 SUMMER NMOC STUDY
4.0
K>
I
00
00
2
B:
a
o
.3.0
2.0
1 .0
0.0
1 70
1 90
210 230
JULIAN DATE
250
270
Figure 2-21. Plot of BM0C Data for Ve»t Pain Beach, Florida.
-------
Table 2-23. Data Listing for West Pal* Beach, Florida.
1984 SUMMER NMOC STUDY - NEST PALM BEACH, PLOR IDA
to
I
OS
JULIAN
CAN
(PS1G)
(PSIG)
RADIAN
RADIAN
EPA
P.ADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NMOC
ANALYSIS
PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
06/18/84
170
MOMMY
1016
1
19.5
11.5
06/25/84
D
06/26/84
2.63
06/19/84
171
TUESDAY
1015
2
16.0
15.5
06/22/84
A
06/25/84
0.96
06/20/84
172
WEDNESDAY
1010
23
15.8
16.0
06/22/84
C
06/25/84
0.72
06/21/84
173
THURSDAY
1037
30
14.5
14.5
06/26/84
A
06/27/84
0.72
06/25/84
177
MONDAY
1058
38
15.0
15.0
06/29/84
D
0.64
06/26/84
178
TUESDAY
1057
49
15.0
15.0
06/29/84
B
0.53
06/27/84
179
WEDNESDAY
1067
54
15.2
15.0
06/29/84
A
0.86
06/28/84
180
THURSDAY
1080
69
15.0
15.0
07/02/84
A
07/10/84
0.28
•6/28/84
180
THURSDAY
1079
68
15.0
15.0
07/02/84
A
07/10/84
0.45
#7/02/84
184
MONDAY
1105
82
16.0
16.0
07/05/84
B
0.51
•7/03/84
185
TUESDAY
1129
108
15.5
15.8
07/06/84
C
0.52
07/05/84
187
THURSDAY
1132
135
15.7
15.5
07/09/84
B
0.55
07/06/84
188
FRIDAY
1148
15
14.5
14.5
07/10/84
A
0.73
07/09/84
191
MONDAY
1166
14
16.4
16.8
07/11/84
B
0.49
07/10/84
192
TUESDAY
1188
43
15.3
15.5
07/12/84
C
07/16/84
0.40
•7/11/84
193
WEDNESDAY
1211
77
16.2
16.5
07/13/84
B
0.61
07/12/84
194
THURSDAY
1233
107
15.8
15.5
07/16/84
A
07/17/84
0.61
07/13/84
195
FRIDAY
1241
72
14.9
15.0
07/17/84
B
0.63
07/16/84
198
MONDAY
1268
158
16.2
16.0
07/18/84
C
0.67
07/17/04
199
TUESDAY
1289
103
15.6
15.5
07/19/84
A
0.42
07/10/84
200
WEDNESDAY
1308
136
15.5
16.0
07/20/84
D
0.39
07/10/84
201
THURSDAY
1336
13
15.0
15.0
07/23/84
D
0.39
07/20/84
202
FRIDAY
1360
189
14.9
15.0
07/24/84
B
07/27/84
0.43
07/23/04
205
MONDAY
1372
113
16.2
16.5
07/25/84
C
07/27/84
0.44
07/23/84
205
MONDAY
1373
78
16.2
16.5
07/25/84
A
0.41
07/24/84
206
TUESDAY
1407
81
15.9
16.2
07/2C/84
D
0.19
07/25/84
207
WEDNESDAY
1420
125
15.2
15.5
07/27/84
A
0.28
07/26/84
208
THURSDAY
1438
85
16.0
16.0
07/30/84
A
0.50
07/27/04
209
FRIDAY
1463
130
15.0
15.3
07/31/84
A
0.25
07/30/84
212
MONDAY
1485
190
17.0
16.9
08/01/84
B
0.29
07/31/84
213
TUESDAY
1524
26
14.0
15.8
08/02/84
D
0.35
08/01/84
214
WEDNESDAY
1543
33
15.4
15.5
08/06/84
C
0.28
00/02/84
215
THURSDAY
1564
172
15.6
16.0
08/07/84
C
08/08/84
0.22
08/03/84
216
FRIDAY
1596
46
15.1
15.2
08/08/84
B
0.17
08/06/84
219
MONDAY
1619
103
16.9
17.0
08/00/84
C
08/09/84
0.54
00/07/84
220
TUESDAY
1631
194
16.0
16.5
08/09/84
B
0.52
08/08/84
221
WEDNESDAY
1647
165
16.0
16.8
08/10/84
D
0.55
00/09/04
222
THURSDAY
1679
198
15.9
16.1
08/13/84
D
0.47
08/10/84
223
FRIDAY
1705
52
15.0
15.0
08/15/84
A
08/16/84
0.57
08/13/84
226
MONDAY
1720
66
16.0
16.5
08/15/84
A
0.97
08/14/84
227
TUESDAY
1742
80
15.9
15.9
08/16/84
C
08/20/84
0.45
NMOC
PPMC
QAD
KSCCSC
1 .15
NMOC
PPMC
F.SRL-GC
KECCt;
2.38
0.69
0.59
0.31
0.37
0.63
0.32
0.46
0.39
0.21
0.33
0.52
0.56
-------
Table 2-23. Data Listing for West Palm Beach, Florida, (cont.)
1984 SUMMER NMOC STUDY - WEST PALM BEACH, FLORIDA
JULIAN CAN
DATE DATE SAMPLED RADIAN NO.
SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIG) RADIAN RADIAN
PRESSURE PRESSURE ANALYSIS NMOC
SAMPLED RECEIVED DATE INST
t buisammm bbbbbkhb vbkckbbk ckseki
EPA RADIAN NMOC NMOC
ANALYSIS PPMC PPMC PPMC
DATE NMOC QAD KSRL-GC
NJ
I
vO
o
08/15/84 228 WEDNESDAY 1779 176
08/16/84 229 THURSDAY 1792 97
08/17/84 230 PRIDAY 1825 79
08/20/84 233 MONDAY 1850 17
08/21/84 234 TUESDAY 1861 134
08/22/84 235 WEDNESDAY 1891 8
08/23/84 236 THUR8DAY 1904 179
08/24/84 237 PRIDAY 1925 125
08/27/84 240 MONDAY 1950 182
08/28/84 241 TUESDAY 1977 79
08/29/84 242 WEDNESDAY 2000 178
08/30/84 243 THURSDAY 2017 10
08/31/84 244 PRIDAY 2041 29
09/04/84 248 TUESDAY 2081 180
09/05/84 249 WEDNESDAY 2108 153
09/06/84 250 THURSDAY 2111 164
09/07/84 251 PRIDAY 2156 13
09/10/84 254 MONDAY 2183 128
09/11/84 255 TUESDAY 2199 135
09/12/84 256 WEDNESDAY 2221 116
09/13/84 257 THURSDAY 2246 74
09/14/84 258 PRIDAY 2247 53
09/17/84 261 MONDAY 2286 179
09/18/84 262 TUESDAY 2308 79
09/19/84 263 WEDNESDAY 2331 109
09/20/84 264 THURSDAY 2344 125
09/21/84 265 FRIDAY 2375 34
09/24/84 268 MONDAY 2388 75
09/25/84 269 TUESDAY 2417 162
09/27/84 271 THURSDAY 2466 11
09/28/84 272 FRIDAY 2495 147
16.5
15.8
15.0
17.0
15.8
16.0
15.6
15.0
15.9
15.7
16.0
21.0
16.0
16.7
16.2
15.8
15.3
15.9
15.9
15.9
15.8
16.0
16.9
15.9
16.1
15.5
16.0
17.5
15.9
15.0
15.9
13.0
15.8
15.1
15.5
13.0
15.2
16.0
15.2
16.9
16.5
16.3
20.6
15.5
16.5
16.5
16.5
15.9
16.0
16.5
16.4
16.0
16.1
16.5
15.5
16.0
16.0
16.0
IS.9
15.5
15.0
15.5
08/20/84
08/20/84
08/21/84
08/22/84
08/24/84
08/27/84
08/27/84
08/28/84
08/29/84
08/30/84
08/31/84
09/04/84
09/05/84
09/07/84
09/10/84
09/10/84
09/11/84
09/12/84
09/13/84
09/14/84
09/18/84
09/18/84
09/19/84
09/20/84
09/21/84
09/24/84
09/25/84
09/26/84
09/27/84
10/01/84
10/02/84
A
C
D
B
D
C 08/28/84
C 08/28/84
B
C
D
D 09/03/e4
B
C
A
A 09/11/84
D
A
B
D 09/14/84
C
C
B
C
D
B
D
B 09/26/84
C 09/27/84
D
D 10/02/84
A
0.87
0.79
0.37
0.59
0.39
0.48
0.74
0.75
0.73
0.54
0.81
0.78
0.64
0.66
1.38
0.21
0.38
0.30
0.29
0.42
0.44
0.26
0.28
0.38
0.32
0.18
0.17
1.17
0.34
0.19
0.51
0.57
0.91
0.64
0.80
1.69
0.30
0.16
1.06
0.31
-------
2-91
-------
WILKES -BARRE, PENNSY LV AIIIA
1984 SUMMER NMOC STUDY
JULIAN DATE
Figure 2-22. Plot of MMOC Data for Vilkaa-Barre/Scranton, Pennsylvania.
-------
Table 2-24. Data Listing for Wilkes-Barre/Scranton, Pennsylvania.
1984 SUMMER NMOC STUDY - WILKES-BARRE, PENNSYLVANIA
N>
I
vO
U
JULIAN
CAN
(PSIG)
(PSIG)
RADIAN
RADIAN
1 EPA
RADIAN
DATE
DATE
SAMPLED RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
NHOC
ANALYSIS
PPMC
SAMPLED
SAMPLED
WEEKDAY LAB
ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NMOC
06/27/84
179
WEDNESDAY
1100
116
16.5
16.5
07/05/84
B 07/10/84
0.92
06/28/84
180
THURSDAY
1101
115
15.0
15.5
07/05/84
C
0.63
06/29/84
181
FRIDAY
1098
64
16.0
16.0
07/05/84
D 07/06/84
0.74
07/02/84
184
MONDAY
1103
120
15.0
15.0
07/05/84
A 07/10/84
0.58
07/03/84
185
TUESDAY
1134
132
15.5
16.0
07/09/84
D
0.56
07/05/84
187
THURSDAY
1149
148
11.0
10.5
07/10/84
C
0.74
07/06/84
188
PRIDAY
1167
11
16.5
14.5
07/11/84
D 07/16/84
0.26
07/10/84
192
TUESDAY
1181
30
24.0
24.8
07/12/84
D
0.52
07/11/84
193
WEDNESDAY
1217
99
24.0
24.0
07/16/84
A
0.64
07/12/84
194
THURSDAY
1228
59
11.5
11.0
07/16/84
B
0.37
07/13/84
195
PRIDAY
1244
129
17.0
17.5
07/17/84
C 07/19/84
0.89
07/16/84
198
MONDAY
1269
181
17.0
17.9
07/18/84
C
0.94
07/17/84
199
TUESDAY
1286
187
17.0
17.5
07/19/84
C
0.62
07/17/84
199
TUESDAY
1285
180
17.0
17.4
07/19/84
B 07/23/84
0.46
07/18/84
200
WEDNESDAY
1319
196
16.0
16.5
07/20/84
C
0.45
07/19/84
201
THURSDAY
1329
22
16.0
16.2
07/23/84
A
0.59
07/20/84
202
FRIDAY
1348
117
16.5
16.7
07/24/84
D
0.46
07/23/84
205
MOMMY
1382
66
0.0
24.0
07/25/84
C
0.41
07/25/84
207
WEDNESDAY
1431
38
24.0
23.5
07/25/84
A
0.32
07/26/84
208
THURSDAY
1439
8
24.0
24.0
07/30/84
B 08/03/84
0.43
07/27/84
209
FRIDAY
1480
142
15.5
15.5
07/31/84
C
0.13
07/30/84
212
MONDAY
1486
116
23.5
24.2
08/01/84
A
0.43
07/31/84
213
TUESDAY
1509
138
16.0
16.0
08/02/84
B
0.52
08/01/84
214
WEDNESDAY
1546
18
16.0
16.0
08/06/84
D
0.67
08/02/84
215
THURSDAY
1577
40
17.0
17.0
08/07/84
A
0.44
08/03/84
216
FRIDAY
1585
149
16.0
15.5
08/08/84
C 08/08/84
0.45
08/06/84
219
MOMMY
1645
120
22.0
22.0
08/09/84
A
0.26
08/06/84
219
MOMMY
1644
64
22.0
21.5
08/09/84
A 08/10/84
0.24
08/07/84
220
TUESDAY
1626
140
16.0
15.5
08/09/84
B
0.27
08/08/84
221
WEDNESDAY
1658
130
16.0
15.5
08/13/84
C
0.39
08/09/84
222
THURSDAY
1686
100
18.0
16.7
08/14/84
C 08/15/84
0.67
08/10/84
223
FRIDAY
1692
122
16.0
14.0
08/14/84
C 08/15/84
0.23
08/13/84
226
MONDAY
1713
163
15.5
16.0
08/15/84
A
0.44
08/14/84
227
TUESDAY
1741
60
23.0
23.0
08/16/84
C
0.48
08/15/84
228
WEDNESDAY
1769
71
16.0
16.0
08/17/84
B
0.30
08/16/84
229
THURSDAY
1788
104
24.5
24.5
08/20/84
A 08/21/84
0.41
08/17/84
230
FRIDAY
1815
155
23.5
24.0
08/21/84
A
0.34
08/20/84
233
MOMMY
1844
126
16.0
15.2
08/22/84
D
0.32
08/21/84
234
TUBSDAY
1869
185
24.5
25.0
08/24/84
C
0.2S
08/22/84
235
WEDNESDAY
1881
54
24.0
21.8
08/27/84
D 08/28/84
0.88
08/23/84
236
THURSDAY
1903
186
17.0
17.1
08/27/84
A 08/28/84
0.25
NMOC
PPHC
QAD
K SSS6BSS
1.12
0.45
0.41
tIMOC
PPMC
ESRL-GC
0.84
0.52
0.21
0.66
0.47
0.42
0.41
0.20
0.69
0.33
0.88
-------
Table 2-24. Data Listing for Wilkes-Barre/Scranton, Pennsylvania, (cont.)
1984 SUMMER NMOC STUDY - WILKES-BARRE, PENNSYLVANIA
JULIAN
DATE DATE SAMPLED
SAMPLED SAMPLED WEEKDAY
CAN (PSIG) (PSIG) RADIAN RADIAN
RADIAN NO. PRESSURE PRESSURE ANALYSIS NMOC
LAB ID SAMPLED SAMPLED RECEIVED DATE INST
EPA RADIAN NMOC
ANALYSIS PPMC PPMC
DATE NMOC QAD
OB/24/84
08/27/84
08/28/84
08/29/84
08/30/84
09/04/84
09/05/84
09/06/84
09/07/84
09/10/84
09/11/84
09/12/84
09/14/84
09/17/84
09/18/84
09/19/84
09/20/84
09/21/84
09/24/84
09/25/84
09/27/84
09/28/84
237 FRIDAY
240 MONDAY
241 TUE8DAY
242 WEDNESDAY
243 THURSDAY
248 TUESDAY
249 WEDNESDAY
250 THURSDAY
251 FRIDAY
254 MONDAY
255 TUESDAY
256 WEDNESDAY
258 FRIDAY
261 HOM>AY
262 TUESDAY
263 WEDNESDAY
264 THURSDAY
265 FRIDAY
268 MONDAY
269 TUESDAY
271 THURSDAY
272 FRIDAY
1928 27 16.0
1948 67 16.0
1973 97 16.5
1998 37 24.0
2013 35 24.5
2072 122 23.0
2103 101 16.0
2127 179 19.0
2151 15 16.5
2168 76 17.0
2202 37 24.0
2227 133 16.0
2256 162 16.5
2269 60 25.0
2307 134 17.0
2316 143 16.0
2384 70 23.0
2374 97 16.0
2400 87 16.0
2426 22 16.0
2465 44 17.0
2492 41 24.0
ICKBB IRBBEIKC
s&Li:eses
16.1
08/28/84
B
0.14
16.4
08/29/84
D
0.30
17.0
08/30/84
C
08/31/84
0.88
24.0
08/31/84
t
0.39
24.7
09/04/84
A
0.18
22.9
09/06/84
C
09/07/84
0.19
16.5
09/07/84
D
0.28
19.0
09/10/84
B
09/11/84
0.35
17.1
09/11/84
B
0.11
17.5
09/12/84
C
09/13/84
0.15
24.0
09/13/84
D
0.53
17.0
09/14/84
B
0.14
16.9
09/18/84
B
0.24
2S.0
09/19/84
B
09/20/84
0.12
17.3
09/20/84
A
0.59
16.4
09/21/84
D
0.67
23.6
09/26/84
D
0.62
16.0
09/25/84
D
0.96
16.8
09/27/84
A
09/27/84
0.39
16.4
09/28/84
D
09/29/84
0.66
17.5
10/01/84
C
0.21
23.8
10/02/84
C
0.15
NMOC
PPMC
ESRL-GC
0.8
0.39
0.28
0.1
0.1
0.4
0.45
0.
-------
3.0 ANALYTICAL TECHNICAL MOTES
3.1 INSTRUCTIONS FOR OPERATION OF NMOC SAMPLERS
3.1.1 Installation
1. Locate the sampler in a convenient place close to the sample
inlet point* The location should be in an air conditioned (70-85* F) area
vitb suitable space and electrical power.
2. Make sure that the electrical solenoid valve is installed on the
puatp outlet. The valve should have a tee fitting on top, one leg of which
is plugged.
3. Verify that the inlet to the pump has a floir-control needle/filter
assembly mounted on it. The needle assembly should be marked with an "S .
4. Connect a 1/8-inch stainless steel inlet line from the top on the
needle/filter assembly to the inlet manifold* This should be the same
manifold used for the NO^ nonitor. If there is no inlet manifold, install
a suitable inlet line of 1/8-inch stainless steel to the sampling point.
If possible• avoid using any plaatic parts, such as plastic line or fit-
ting* in the sample inlet* The sample inlet should be kept as short as
possible and installed so that it will not collect water. If it is
necessary to use a long sample inlet line (over 10-12 feet from the pump to
the manifold or sample point), a small vacuum pump should be connected to
the pump end of the inlet line to keep the inlet purged during ssmpling.
The local agency will be asked to supply such a pump and any other inci-
dental itema needed to connect the ssmpler to the sample inlet point.
5* Connect the pump and the solenoid valve to the timer, and connect
the timer to an electrical power outlet. Set the timer to the correct
local time by turning the large dial in a clockwise direction.
6. Verify that the pump is operational by turning the timer switch
ON and OFF. NOTE: The solenoid vslve is s special latching valve with a
time-delay power circuit. It may not operate properly if the timer switch
is turned OH and OFF too fast. The switch must be left in the OH or OFF
position at least 20 seconds before it is switched to the other position to
operate the valve properly*
3-1
-------
7. Disconnect the sample inlet from the top of the filter assembly
and connect the rotameter to the filter assembly, holding or mounting the
rotameter in a vertical position. Start the pump and record the flowmeter
reading* Remove the "S" needle assembly, install the "D" needle assembly,
and record the flowmeter reading* Turn the timer switch OFF* After 20
seconds, unplug the solenoid valve, then turn the timer switch ON and
verify that the valve is closed and that there is no flow. Turn the timer
switch OFF and reconnect the solenoid valve. Disconnect the rotameter,
reinstall the "S" needle assemb1y, and reconnect the sample inlet to the
filter assembly.
8. Operator familiarization:
1. Demonstrate installation of canister(s).
2. Delay in turning solenoid valve on and off.
3. Measuring flow with rotameter.
4. Change needle assemblies.
5. Change filter element.
6. Correct tightening of Swagelock* fittings.
7. Set timer and OR/OFF dogs.
8. Fill out sample form.
9. Go through sampling procedure.
10. Go through troubleshooting instructions,
11. Know whom to call if problems are encountered.
3.1.2 Operation - Preaamnlina
1. Set the timer to the correct day and time, or to verify that the
timer is correctly set. Verify that the ON/OFF dogs are correctly in-
stalled on the timer disk.
2. With no canisters connected to the sampling system, turn the
timer switch to the OFF position.
3. Disconnect the sample inlet from the top of the needle/filter
assembly mounted on the pump inlet. Connect the rotameter to the top of
the needle/filter assembly* Hold or mount the rotameter vertically.
3-2
-------
4. If the timer switch has been OFF less than 20 seconds, wait until
the switch has been OFF at least 20 seconds. Then turn the timer switch
ON. The pump should run and the valve should open. Verify that the
rotameter reading is approximately the same (+/- 15Z) as the reading
obtained during installation. If the rotameter reading is not correct, see
the troubleshooting instructions.
5. Allow the pump to run for at least 20 seconds, then turn the
timer switch OFF.
6. Connect a cleaned, evacuated canister to the sampling system.
HOTB: If duplicate samples are to be collected, remove the plug from the
second leg of the tee and connect a second canister to the sampling system.
Remove the needle assembly marked with an "S" (do not remove the filter
assembly), end install the needle assembly marked with a "D" in its place.
Replace the plug and the "8" needle assembly to return to collection of
•ingle samples.
7 • Open the valve (wide open) on the canister (or on one of the
canisters if two are connected) and verify that no flow is registered on
the rotameter with the pump off. If any flow is detected by the rotameter,
immediately close the canister valve and see the troubleshooting instruc-
t ions.
If no flow is detected, disconnect the rotameter and reconnect
the sample inlet to the filter assembly, if two canisters are connected,
open the valve on the second canister.
9. Reverify that the canister valve(s) is(are) open and the timer is
properly set for sampling from 6 to 9 AM the next weekday.
3,I»3 PPWtion - Post 8—ylfof
Close the canister valve(s) firmly. Disconnect the canister(s)
from the sampling system.
2. Connect the preaaure gauge to the canister and open the canister
valve. Record the canister pressure. Close the canister valve and remove
the pressure gauge. Do the same if there is a second canister. If the
pressure reading is not at least 11 p.i, >et th8 troubleshooting instruc-
t ions.
3. Fill in the required information on the sample form(s).
3-3
-------
4. Verify that the timer still shows the correct time setting. If
not, note that fact on the sample form along with any information
pertaining to the possible cause. Reset the timer to the correct time.
5. Verify that the canister valves are closed firmly, but do not
overtighten them. Put the protective cap(s) on the valve(s) and prepare
the canister(s) for shipment to RTF.
3.1.4 Troubleshooting Instructions
The following checks and test should be carried out in the order given
unless there is reason to alter the order.
Rotameter flow too low
1. Make sure pump is running.
2. Valve may not be open. Turn timer
switch OFF, wait 20 seconds, then turn
the switch OH.
3. Disconnect the solenoid valve from pump.
If flow is then correct, solenoid valve
may be defective. Consult RTF.
Rotameter flow too high
4. Needle may be clogged. Replace needle
assembly (not filter) with spare "S"
needle assembly. If flow is correct,
return defective needle to RTP for re-
placement .
1. Check for leaks.
Flow is detected with
canister valve open and
puap off
Try spare needle assembly. If flow is
correct, return defective needle assembly
to RTF for replacement.
Solenoid valve not. closed. Turn off
canister valve. Turn timer switch ON,
wait 20 seconds, then turn timer switch
OFF. Open canister valve and check again.
If flow is still detected, call for
assistance.
3-4
-------
Canister pressure over
15 psi after sampling
1.
2.
Check flow rate.
Check for leaks; tighten all fittings.
3. Check timer for correct positions of
ON/OFF dogs.
4, Canister may have leaked or may not have
been evacuated. Note on sample form and
collect the next scheduled sample. If
the next sample also has excessive
pressure, call for assistance.
3.2 ANALYTICAL
3.2.1 Instrumental; i?n
Two gas chromatographs were used by Radian in this study• Each was a
dual-channel Hewlett-Packard 5880 using flame ionisation detection (FID).
NMOC instrument Channels A and B were on a single unit, and Channels C and
D were on the other 5880 unit. These chromatographs were modified
similarly to the prototype unit (NMOC instrument K), which is described in
the attached Appendix. Instrument E (also called Channel E in subsequent
sections of this report) was used as a quality assurance check during this
program. Also a glass-capillary gas chromatographic instrument (called
Channel GC) was used as the gas speciation method shown in the quality
assurance data.
3*2.2 Hewlett-Packard 5880 Gas Chrp»*to»r*Ph Ooerstipp
3.2.2.1 Sample Trap -
30 cm of 1/8-inch 00 stainless steel
packed with 60/80 mesh glass beads
3.2.2.2 Support Gas -
mtnawt fumtt
.*
Carrier Gas Helium 30 psig 31 seem
FID Air Purified Air 30 psig 385 seem
FID Fuel Hydrogen 32 psig 30 seem
^Controller set point 30.0 ccm
3-5
-------
3.2.2.3 Operating Temperatures -
FID 250°C
Oven Programmed up to 90°C
Aux. Area 90°C
Oven Program -
Initial Value 30°C
Initial Time 0.20 min.
Rate 30°C/min.
Final Value 90°C
Final Time 4.00 min.
3.2.2.4 Integration Parameters -
Signal Attenuation
24
Peak Area Threshold 1
Min. Peak Width 0.04
Integrator Analysis Program -
Program
List. Activity CPMUPtf
20 VALVE 5 OFF
25 LIST VALVE 5
30 OVER TEMP INITIAL VALUE 30
35 OVEN TEMP OFF
40 WAIT 2
60 START
70 OVEN TEMP 90
80 VALVE 5 ON
Integrator Run Table
Activity
0.01 INTG OFF
0.01 VALVE 5 ON
0.01 PAGE
0.02 LIST ATTN 2
0.04 OVEN TEMP ON
0.20 VALVE 2 ON
0.21 VALVE 2 OFF
0.22 INTG ON
0.23 SET BL
0.23 LIST INTG
1.87 SET BL
1.88 INTG OFF
1.89 LIST INTG
1.90 CHART SPEED 1.5
3.50 STOP
Comments
Beeper signal to remove cryogen
and close oven door
Set integration baseline point
3-6
-------
3.2.3 NMOC Analytical Technique
The modified HP5880, dual-FID chromatographs were operated in a manner
very similar to the method described in Section 7 .3 of the document attached
as Appendix A. Further description is given to help explain the analytical
apparatus and procedure.
The 6-port valve shown in Figure 1 of Appendix A was installed in the
auxiliary heated cone of the HP5880 and was pneumatically actuated using
the chromatographic valve control signals to apply either compressed air or
vacuum to the valve. The sample trap itself was located inside the chro-
matography column oven. A length of one-sixteenth-inch OD tubing was
trimmed to a length which prevented pressure and flow surges from extin-
guishing the FID flame. This length has to be determined experimentally
and is expected to differ between chromatography. This length of tubing
effectively substitutes for the restriction caused by a chromatographic
column.
During sample trapping, a rotameter was used to assure excess sample
gas flow (instead of the bubbles shown in the Figure). A flow control
valve was used, instead of the canister shutoff valve, to maintain a slight
excess of sample gas flow during trapping.
A pressure change of 80 mm in a 1.7 liter vacuum reservoir was uaed to
gauge the volume of sample gas cryogenically trapped. After trapping was
complete, the HP5880 program shown in Section 3.2.2 was initiated. When
the program produced an audible beep, the cryogen was removed from the trap
and the oven door closed. The chromatographic program then took control
raising the oven temperature to release the trapped sample to the FID,
well as setting up the integration parameters.
3.3 CALCULATIONS
3.3.1 Daily Calibration
3.3.1.1 Zero Response - Peak area Average ^ two analyses
of Clean Air from Clean Air System
3.3.1.2 Blank (ppmC) ¦ Zero response peak area x calibration factor
3.3.1.3 Calibration Factor -
aiMMtfitif (nnmV) of Propane Standard x 3 PMttC/pppV
Factor ¦ (Propane Response - Zero Response)
3-7
-------
3.3.2 HMOC Sample Concentrations
NMOC (ppmC) - /Sample Response \ x Calibration Factor
\ Peak Area J
3-8
-------
4.0 QUALITY ASSURANCE/QUALITY CONTROL DATA ANALYSIS
4.1 INTRODUCTION
The quality assurance and quality control (QA/QC) procedures were
given in the Quality Assurance Project Plan. The proposed outline of the
NMOC data analysis and the QA/QC data analysis are given in Appendix B.
Several features of the data analysis not originally proposed are included
below, along with essentially the analysis outlined in Appendix B. Section
4.2 focuses on QA/QC data and its interpretation. Calibration and drift
data are given in Section 4.2.1.
Section 4.2.3 presents the data on repeated analyses on the sane
sample, and the analysis and some possible interpretations of the results.
Two types of repeated analyses are described in Sections 4.2.3.1 and
4.2.3.2. The first type of repeated analyses were done on the samples
drawn from the 22 sample sites, while the other type of repeated analyses
were done on local ambient samples.
Section 4.2.4 presents the results and analyses for the duplicate
samples taken at the 22 designated test sites. Section 4.2.5 presents the
data and analyses for Radian In-House QC samples and other types of QC
samples.
4.2 QA/QC DATA
4.2.1 Calibration and Drift
Calibration and drift data for the Radian Channels A, B, C, and D, are
given in Table 4-1 through 4-4. These data are also plotted m Figures 4-1
through 4-8, and relate the daily sero and span determinations to the 1984
Julian Date on which the determination was made. Table 4-1 lists five
4-1
-------
Figure 4-1
i
N>
4-00
350
jrt 300
w•
o
u
a
$
Q 150
u-
2
d
H
2d Li
!UU
100
50
0
— 50
DAILY PROPANE SPAN CALIBRATION
NMOC INSTRUMENT A
T
T
T
160 180 200
~ initial daily spam
220
240
—I—
260
Om
80
JULIAN DATE
+ 8-HR SPAN DRIFT
-------
Table 4-1. Calibration and Drift Data for Radian Channel A.
ZER01
ZCFT
CASE
1
0.003
0
CASE
2
0.007
-0
CASE
3
0.007
-0
CASE
4
0.00P
-0
CASE
5
0.008
0
CASE
6
0.005
0
CASE
7
0.005
0
CASE
8
0.005
0
CASE
9
0.004
-0
CASE
10
0.005
0
CASE
1 1
0.006
-0
CASE
12
0.003
0
CASE
13
0.005
0
CASE
14
0. 002
0
CASE
13
0.003
0
CASE
16
0.004
0
CASE
17
0.004
-0
CASE
18
0.005
0
CASE
19
0.004
-0
CASE
20
0.003
0
CASE
21
0.005
-0
CASE
22
0.004
-0
CASE
23
0.003
-0
CASE
24
0.002
0
CASE
25
0.004
-0
CASE
26
0.002
0
CASE
27
0.0C4
0
CASE
28
0.003
0
CASE
29
0.019
-0
CASE
30
0.005
0
CASE
31
0.003
0
CASE
32
0.005
-0
CASE
33
0.004
-0
CASE
34
0.001
0
CASE
33
0.004
-0
CASE
36
0.005
0
CASE
37
0.005
-0
CASE
38
0.002
0
CASE
39
0.003
-0
CASE
40
0.003
-0
CASE
41
0.002
0
CASE
42
0.001
0
CASE
43
0.002
-0
CASE
44
0.002
-0
CASE
45
0.003
-0
CASE
46
0.003
-0
CASE
47
0.004
-0
CASE
48
0.003
-0
CASE
49
0.003
-0
CASE
50
0.004
0
CASE
51
0.002
0
CASE
52
0.001
0
CASE
53
0.002
0
CASE
54
0.002
0
CASE
55
0.002
0
CASE
56
0.002
-0
CASE
57
0.001
0
CASE
58
0.001
0
CASE
59
0.002
0
CASE
60
0.002
0
CASE
61
0.002
-0
CASE
62
0.002
-0
CASE
63
0.003
0
SPAM CALDFT PCPFT
299.00C
9.000
3.010
294.000
3.000
1 .02n
314.COO
-6.000
-1.911
317.COO
-19.000
-5.994
309.OOC
-2.COO
-0.6*7
316.000
-24.000
-7.5P5
295.000
22.OOC
7.4?e
317.000
-22.000
-6.94C
31 1.000
-8.000
-2.572
323.000
-4.000
-1.236
306.000
26.000
8. 497
326.000
2.000
0.613
315.000
14.000
4.444
306.000
13.000
4.24C
323.000
-4.000
-1.236
321.000
4.000
1 .246
302.000
12.000
3.974
302.000
1.000
0.331
302.000
17.000
5.629
312.000
-9.000
-2.885
303.000
25.000
8.251
301.000
11.000
3.654
303.OCO
5.000
1.650
297.000
3.000
1.010
305.000
19.000
6.23C
327.000
14.000
4.281
312.000
12.000
3.846
311.000
-7.000
-2.251
305.000
39.000
12.787
299.000
26.000
8.696
311.000
4.000
1 .286
316.000
-13.000
-4.114
323.000
-9.000
-2.706
300.000
1C.000
3.333
299.000
9.000
3.010
297.000
8.000
2.694
326.000
-8.OOC
-2.454
305.000
-4.000
-1.31 1
307.000
11.000
3.583
313.OCO
-4.000
-1.278
305.000
2.OOC
0.656
322.OCO
-17.000
-5.28C
314.000
-2.000
-0.637
310.000
-1C.000
-3.226
307.000
1.000
0.326
306.000
-1.000
-0.327
306.000
17.000
5.556
313.000
-8.000
-2.556
297.000
5.000
1.684
308.000
6.000
1.94E
295.000
9.000
3.051
300.000
12.000
4.000
306.OOC
1.000
0.327
305.000
8.000
2.623
304.000
3.000
0.987
293.000
10.000
3.413
297.000
4.000
1.347
308.000
-10.000
-3.247
302.000
-2.000
-0.662
298.OOC
4.000
1.342
297.000
6.000
2.020
305.000
-1.000
-0.328
313.000
11.000
3.514
C01
002
001
006
001
002
001
001
003
001
001
001
002
002
001
005
001
001
001
001
003
016
002
002
002
002
002
003
002
001
001
001
001
001
002
001
002
001
001
002
001
002
001
001
001
001
006
001
001
001
4-3
-------
Figure 4-2
DAILY PROPANE SPAN CALIBRATION
NMOC INSTRUMENT 6
JULIAN L'mTE
~ INITIAL DAILY SPAM + Q-hR SPAN DRIFT
-------
Table 4-2.
Calibration and Drift Data for Radian Channel B.
ZER01 ZOFT
CASE
1
o.oic
-0.006
CASE
2
0.015
-0.006
CASE
3
0.020
-0.012
CASE
4
0.010
-0.005
CASE
5
0.013
-0.007
CASE
6
0.003
0.005
CASE
7
0.009
0.004
CASE
8
0.009
0.005
CASE
9
0.011
-0.005
CASE
10
0.006
0.004
CASE
1 1
0. 007
0.002
CASE
12
0.006
-0.001
CASE
13
0. 009
0.
CASE
14
0.006
-0.002
CASE
15
0.006
0.001
CASE
16
0.005
-0.002
CASE
17
0.006
0.002
CASE
18
0.006
-0.004
CASE
19
0.007
-0.004
CASE
20
0.004
-0.003
CASE
21
0.003
0.001
CASE
22
0.003
-0.002
CASE
23
0.003
0.
CASE
24
0.003
-0.003
CASE
25
0.003
0.001
CASE
26
0.003
-0.001
CASE
27
0.
0.002
CASE
28
0.004
-0.003
CASE
29
0.001
0.001
CASE
30
0.004
0.
CASE
31
0.003
0.001
CASE
32
0.004
0.001
CASE
33
0.003
0.001
CASE
34
0.003
0.002
CASE
35
0.006
-0.003
CASE
36
0.001
0.001
CASE
37
0.001
0.
CASE
38
0.002
-0.0C1
CASE
39
0.004
-0.002
CASE
40
0.002
-0.001
CASE
41
0.001
0.
CASE
42
0.001
0.001
CASE
43
0.002
0.
CASE
44
0.001
0.001
CASE
45
0.002
0.
CASE
46
0.001
0.001
CASE
47
0.002
-0.001
CASE
48
0.001
0.
CASE
49
0.001
0.
CASE
50
0.002
-0.C01
CASE
51
0.002
-0.001
CASE
52
0.002
0.
CASE
53
0.002
-0.001
CASE
54
0.002
-0.001
CASE
55
0.002
0.
CASE
56
0.003
0.
CASE
57
0.001
0.001
CASE
58
C.001
0.
CASE
59
0.001
0.
CASE
60
0.002
-0.001
CASE
61
0.001
0.
CASE
62
0.001
0.
CASE
63
0.002
-0.001
CASE
64
0.002
-0.001
CASE
65
0.001
0.
CASE
66
0.001
0.
CASE
67
0.0C1
0.
CASE
68
0.002
0.
SPAM CALCFT PCOFT
305.000
1 .oco
0.328
304.000
10.C0C
3.289
304.000
4.coo
1.316
3C6.000
2.000
0.654
316.000
-10.000
-3.165
312.000
1 .000
0.321
321.000
-27.000
-8.411
307.000
9.000
2. 932
322.000
-14.000
-4.34e
316.000
-7.000
-2.2C1
324.000
-1.000
-0.309
320.000
18.000
5.625
322.000
14.000
4.346
330.000
-C.000
-1 .818
322.000
13.000
4. 037
324.000
7.000
2. 160
320.000
5.000
1 . 562
312.000
4.000
1 . 2 C 2
325.000
2.000
0.615
308.000
15.000
4.870
310.000
1.000
0.323
311.000
24.000
7.717
318.000
-10.000
-3.145
309.000
21.000
6.796
306.000
10.000
3.268
309.000
19.000
6.149
304.000
4.000
1.316
311.000
22.000
7.074
332.000
-5.000
-1.506
319.000
7.000
2.194
318.000
-7.000
-2.201
312.000
40.000
12.821
306.000
21.000
6.363
318.000
8.000
2.516
315.000
-6.000
-1.905
330.000
-6.000
-1.818
308.000
11.000
3.571
309.000
24.000
7.767
307.000
7.000
2.260
337.000
-14.000
-4. 154
328.000
-4.0CC
-1.220
333.000
7.COO
2.1C2
313.000
-2.000
-0.630
319.000
14.000
4.369
318.000
-2.000
-0.629
315.000
2.000
0.635
313.000
4.000
1 .278
333.000
-17.000
-5.105
323.000
-1.000
-0.310
322.000
-1C.00C
-3.1C6
314.000
13.000
4.140
315.000
16.000
5.079
319.000
-4.000
-1.254
305.000
9.000
2.951
311.000 .
10.000
3.215
304.000
8.000
2.632
312.000
7.000
2.244
315.000
5.000
1.587
312.000
3.000
0.962
303.000
10.000
3.300
302.000
6.000
1.987
306.000
3.000
0.960
310.000
-1.000
-0.323
308.000
3.000
0.974
304.000
9.000
2.961
312.000
-3.000
-0.962
311.000
3.000
0.965
317.000
14.000
4.416
4-5
-------
¦p»
I
ON
e
D
Q
O
a
o
o
CL
Cl
4-00
350
300
250
200
1 50
1 00
50
Figure 4-3
DAILY PROPANE SPAN CALIBRATION
NMOC INSTRUMENT C
-50
T
T
160 180
~ INITIAL DAILY SPAN
1 1 1 1—
200 220
:+o
i 1—
26u
ISO
JULIAN DATE
+ 8-HR SPAN DRIFT
-------
1
2
3
4
5
6
7
B
9
10
1 1
1 2
13
14
15
16
17
16
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
Calibration and Drift Data for Radian Channel C.
ZER01
ZDFT SPANt CALCFT PCDFT
0.001 o.
0.002 C.
0.001 0.003
0.001 0.
0.001 0.003
0.002 0.
0.002 0.
0.002 -0.001
0.003 0.
0.002 0.
0.001 0.
0.001 0.004
o. o. _
0.001 0.001
0.002 -0.001
o. 0.001
0. °*
0.001 o.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
°-001
o 0.001
0.* 0.001
O-00'
0.002 -0.001
o. 0.001
0.
0.
0.
0.
0.001 0.
0.
0.001 -0.001
0. 0>
0. 0.
o. o*
0;
0. 0.001
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.002 -0.002
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.002 -0.002
0.
o*. 0.002
o. 0.
0.001 0.
0.001 o.
0.001 o.
0. °*
0.002 -0.001
o. 0.001
0.003 -0.003
o. 0.003
4-7
325.000
4.0C0
1 .231
341.00C
-19.000
-5.572
313.000
30.00C
9. 565
341.00C
-24.000
-7.038
33e.000
5.000
1.479
340.000
-20.000
-5.882
338.000
6.000
1 .775
322.000
1 .000
0.311
347.000
-2.000
-0.576
32?.000
21.000
6.383
326.000
-5.COO
-1.534
353.000
5.000
1.416
330.000
7.000
2.121
349.000
3.000
o.eec
322.000
18.000
5.590
335.000
1 .000
0.299
321.000
14.000
4.361
338.000
8.000
2.367
339.000
-1.000
-0.295
344.000
1.000
0.291
325.000
4.000
1 .231
344.000
-20.000
-5.814
343.000
-17.000
-4.956
341.000
-3.000
-0.880
319.000
17.000
5.329
340.000
3.000
0.882
316.000
16.000
5.063
316.000
11.000
3.481
323.000
9.000
2.786
338.000
-7.000
-2.071
328.000
10.000
3.045
340.000
10.000
2.941
330.000
-11.000
-3.333
321.000
6.000
1.869
321.000
-1.000
-0.312
339.000
-22.000
-6.490
317.000
11.000
3.470
315.000
11.000
3.492
316.000
13.000
4.114
320.000
18.000
5.625
338.000
-15.000
-4.438
317.000
1.000
0.315
316.000
16.000
5.063
323.000
4.000
1.230
342.000
-1.000
-0.292
330.000
2.000
0.606
329.000
4.00C
1.216
328.000
8.000
2.439
331.000
24.000
7.251
327.000
4.000
1.223
357.000
-12.000
-3.361
332.000
-1.000
-0.301
332.000
12.000
3.614
353.000
-14.000
-3.966
321.000
8.000
2.492
341.000
5.000
1 .466
328.000
16.000
4.878
329.000
7.000
2. 128
330.000
5.000
1.515
329.000
4.000
1.216
320.000
2.000
0.625
316.000
8.000
2.532
322.000
-1.000
-0.311
323.00C
24.000
7.430
322.000
3.000
0.932
324.000
7.000
2. 16C
329.000
-2.000
-0.608
336.000
-4.000
-1 . 1S0
329.000
19.000
5.775
329.000
-5.000
-1.520
-------
Figure 4-4
DAILY PROPANE SPAN CALIBRATION
NMOC INSTRUMENT D
300
iAJ4
1 1 1 1 1 1 1 1 I 1 1
160 180 200 220 24-0 260 280
JULIAN DATE
~ INITIAL DAILY SPAN + 8-Hft SPAN DRIFT
-------
Table 4-4.
Calibration and Drift Data for Radian Channel D.
ZERO
ZDFT SPAM CAIDFT PCDFT
CASE
1
CASE
2
CASE
3
CASE
4
CASE
5
CASE
6
CASE
7
CASE
8
CASE
9
CASE
10
CASE
1 1
CASE
1 2
CASE
13
CASE
14
CASE
15
CASE
16
CASE
17
CASE
18
CASE
19
CASE
20
CASE
21
CASE
22
CASE
23
CASE
24
CASE
25
CASE
26
CASE
27
CASE
28
CASE
29
CASE
30
CASE
31
CASE
37
CASE
33
CASE
34
CASE
35
CASE
36
CASE
37
CASE
38
CASE
39
CASE
40
CASE
4 1
CASE
42
CASE
43
CASE
44
CASE
45
CASE
46
CASE
47
CASE
48
CASE
49
CASE
50
CASE
51
CASE
52
CASE
53
CASE
54
CASE
55
CASE
56
CASE
57
CASE
58
CASE
59
CASE
60
CASE
61
CASE
62
CASE
63
CASE
64
CASE
65
CASE
66
CASE
67
CASE
68
CASE
69
0.003 0.
0.001 0.002
0.008 0.
0.007 -0.002
0.004 -0.001
0.006 -0.001
0.007 -0.002
0.004 -0.001
0.005 0.
0.004 0.
0.004 -O.OCI
0.004 0.001
o.oo: 0.002
0.002 0.001
0.002 0.
0.004 -0.001
0.003 -0.001
0.001 -0.001
0.001 0.
0.001 o.
0.001 0.001
0.002 -0.001
0.001 0.001
0.001 0.001
0.001 0.
0.002 "0,0°?
0.001 0.001
0.001 o.
0.001 0.013
0.001 0.
0.001 0.
0.001 0.
0.001 0.
0.003 -0.002
0.001 0.
0.001 o.
0.001 -0.001
0.001 0.001
0.001 -0.001
0.
0
0.
0*001 -0.001
0.001
0.
0.'001
0.001 O.OCI
°-00'
0.001 "0,°«
0.001 0.001
°-00'
0.C01 0.00
0.001
0.001 0,00i
o. °-002
01001 0.
0-001
0.001 -0.001
o. °«001
0 r 002 0.001
0. 0.002
oiooi 0.
0.00 J 0.
°-001 S'aa.
0.001 0.001
0.002 0.C01
O.OCI 0.
0.001 0.001
0.002 0.
0.001 0.001
0.001 o.
4-9
327.000
2.000
C . 6 t 2
329.000
-4.000
-1.216
322.000
31.000
9.627
353.000
-26.0CC
-7.365
354.000
5.000
1.412
35).000
-25.000
-7.123
325.000
10.000
3.077
320.000
-6.000
-1 .675
339.000
5.COO
1.475
319.000
33.000
10.345
326.000
-4.000
-1 .227
359.000
10.000
2.736
326.000
17.000
5.215
364.000
-5.000
-1.374
359.000
-2.000
-C.557
319.000
33.000
10.345
343.000
2.000
0.583
322.000
1.000
0.311
338.000
27.000
7 . 9£ 8
357.000
2.000
0.560
353.000
5.000
1.416
352.000
4.000
1 . 136
326.000
15.000
4.601
347.000
-21.000
-6.052
358.000
-27.000
-7.542
356.000
-6.000
-1.685
319.000
45.000
14. 107
355.000
3.000
0.845
319.000
28.000
8.777
317.000
18.000
5.678
335.000
19.000
5.672
349.000
-10.000
-2.865
342.000
12.000
3.509
359.000
2.000
0.557
341.000
-25.000
-7.331
324.000
13.000
4.012
330.000
-6.00C
-1.818
357.000
-36.000
-10.084
318.000
16.000
5.031
301.000
37.000
1 2.292
318.000
31.000
9.748
323.000
28.000
8.669
364.000
-28.000
-7.692
318.000
25.000
7.662
329.000
24.000
7.295
320.000
3.000
0.937
322.000
8.000
2.484
321.000
20.000
6.231
316.000
10.000
3.165
332.000
26.000
7.831
354.000
9.000
2.542
322.000
2.000
0.621
330.000
19.000
5.75e
344.000
-2.000
-0.561
311.000
15.000
4.823
319.000
24.000
7.524
321.000
6.000
1 .869
322.000
5.000
1.553
319.000
9.COO
2.021
311.000
2.000
0.643
311.000
-17.000
-5.466
317.000
-1.000
-C.315
318.000
-2.000
-0.629
321.000
21.000
6.542
323.000
-1.000
-0.310
321.000
-1.000
-C.312
338.000
-7.000
-2.071
320.000
29.000
9.063
325.000
-9.000
-2.769
-------
¦p-
I
0.03
U.U2
0.01
c
2
H
Cl
0.00
-0.01
-u.u:
-0.03
Figure 4-5
DAILY ZERO CALIBRATION
NMOC INSTRUMENT A
I
i
If
" "ysw 1 *\J * \
' ii
i
1 80
1 60
~ initial daily zero
200
JULIAN DATE
240 260
+ 8-HR ZERO DRIFT
:so
-------
0.03
0.02
0.01
0.00
-0.01
-0.02
-0.03
Figure 4-6
DAILY ZERO CALIBRATION
NMOC INSTRUMENT B
~ INITIAL DAILY ZERO
JULIAN DATE
+ 8-HR ZERO DRIFT
-------
0.03
Figure 4-7
DAILY ZERO CALIBRATION
NMOC INSTRUMENT C
f—«
ho
0.02
0.U1
O
O
2
Z
o
s
n
n
0.00
-0.01
-0.02
-0.03
T
T
T
T
T
T
T
T
T
T
160 180 200
~ INITIAL DAILY ZERO
220
JULIAN DATE
24-0 260
+ 8-HR ZERO DRIFT
280
-------
0.03
0.02
U.U1
0.00
-0.01
-0.02
-0.03
Figure 4-8
DAILY ZERO CALIBRATION
NMOC INSTRUMENT D
m Miff v
1 1 1 1 1 1 1 1 r-~i 1 r
160 160 200 220 240
~ INITIAL DAILY ZERO
JULIAN DATE
+ 8-HR ZERO DRIFT
260 280
-------
variables ZEROl, ZDFT, SPANl, CALDFT, and PCDFT. ZEROl, in ppmC, was the
initial instrument "zero," determined from cleaned, dry air at the be-
ginning of the day. ZDFT was the zero drift for the day. At the end of
the day a second "zero" determination (ZER02) was made and ZDFT was calcu-
lated from ZER02 minus ZEROl.
SPANl is reported in Tables 4-1 through 4-4 in units of ppmC per area
count and was done at the beginning of the day. It was the initial
instrument span determination. A second span determination, SPAN2 was made
at the close of the day. The calibration drift, CALDFT, was calculated
equal to SPAN2 minus SPANl. Variable PCDFT is the percent CALDFT was of
the initial span, or:
PCDFT - (CALDFT/SPANl) x 100. (4-1)
Gases used for the span determinations used propane standards referenced to
NBS propane, SBM No. 1665b. Statistics for all four Radian instrument
channels combined are given in Table 4—5. The zero drift ranged from
-0.016 ppmC to 0.013 ppmC averaging -0.00016 which was about 6.5Z of the
mean zero reading.
The percent drift of the calibration reading ranged from -10Z to +14Z,
averaging about 1.5Z of the initial calibration span. For the Radian
Channels A, B, C, and D, average percent calibration drifts were 1.2Z,
1.5Z, 1.1Z and 2.1Z, respectively as shown in Tables 4-6, 4-7, 4-8, and 4-9
respectively. The statistical test of hypothesis for equal population
means at the 0.05 level of significance (giving a 95Z probability that the
assertion is correct) indicates that the mean percent calibration drifts
were essentially equal for all Radian channels.
Additional character of the calibration and drift data can be seen in
Figures 4-9 and 4-10 which show a stem and leaf plot of variables CALDFT
and ZDFT respectively. The numbers on the left of the diagram are the
stems and represent equal incremental distances from the smallest value,
given at the top of the plot to the largest value at the bottom of the plot
(given as a maximum figure in Table 4-5). The leaves are the numbers on
the right of the diagram and the length of each leaf is proportional to the
number of data points falling into each stem interval. The letters "M"
4-14
-------
TABLE 4-5. Statistics for Calibration and Drift for AM Radian Channels.
TOTAL OBSERVATIONS: 270
N OF CASES
MINI MUM
MAX I MUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
kurtosis
ZER01
270
0.
0.02000
0.02000
0.00246
0.00001
0.00280
0.00017
2.73246
11.10380
ZDFT
270
-0.01600
0.01300
0.02900
-0.00016
0.00000
0.00219
0.00013
-1.39021
17.35084
SPAN1
270
293.00000
364.00000
7 1 .00000
321.61111
234.74411
15.32136
0.93243
0.64171
0.00037
CALDFT
270
-36.00000
45.00000
81 .00000
4.50370
172.35500
13.12840
0.79897
-0.03179
0.56515
PCDFT
270
-1 C. C o 4 03
1 4 . 1 T656
24 . 19062
1.4-5974
1 « . 52047
4.06454
0.24736
0.09102
0.4f760
4-15
-------
TABLE 4-6. Statistics for Calibration and Drift of Radian Channel A.
TOTAL OBSERVATIONS: 63
N OF CASES
MlNlMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STO. ERROR
SKEWNESS
KURTOSIS
ZERO 1
63
0.00100
0.01900
0.01800
0.00370
0.00001
0.00256
0.00032
3.54339
18.34753
ZDFT
63
-0*01600
0.00600
0.02200
-0.00046
0.00001
0.00270
0.00034
-3.00599
16.14156
SPAN1
63
293.00000
327.00000
34.00000
307.63492
76.78392
8.76264
1.10399
0.47247
-0.55452
CALDFT
63
-24.00000
39.00000
63.00000
3.55556
143.08961
1 1 .96201
1.50707
0. 17860
0.45991
PCDFT
63
-7.59494
12.78689
20.38182
1.20791
15.06184
3.88096
0.48895
0.23378
0.46404
4-16
-------
TABLE 4-7. Statistics for Calibration and Drift for Radian Channel B.
TOTAL OBSERVATIONS: 68
ZER01 ZDFT SPANI CALOFT PCDFT
N OF CASES
68
68
68
68
68
MlNIMUM
0.
-0.01200
302.00000
-27.00000
-8.41121
MAXIMUM
0.02000
0.00500
337.00000
40.00000
12.82051
RANGE
0.02000
0.01700
35.00000
67.00000
21.23173
MEAN
0.00393
-0.00063
314.82353
4.60294
1.50388
VARIANCE
0.00001
0.00001
70.83406
120.89969
12.14230
STANDARD DEV
0.00375
0.00271
8.41630
10.99544
3.48458
STD. ERROR
0.00045
0.00033
1.02063
1.33339
0.42257
SKEWNESS
1.99246
-1.24521
0.62921
0.13026
0.18693
kurtosiS
4.51519
3.78811
-0.26579
1.07134
1 .07389-
4-17
-------
TABLE 4-8. Statistics for Calibration and Drift for Radian Channel C.
TOTAL OBSERVATIONS: 70
ZER01 ZDFT SPAN J CALDFT PCDFT
N OF CASES
70
70
70
70
70
Ml NIMUM
0.
-0.00300
313.00000
-24.00000
-7.0381$
MAX 1 MUM
0.00300
0.00400
357.00000
30.00000
9.58465
RANGE
0.00300
0.00700
44.00000
54.00000
16.62279
MEAN
0.00059
0.00014
330.37143
3.41429
1.09681
VARIANCE
0.00000
0.00000
108.38178
129.55052
11.86151
STANDARD DEV
0.00084
0.00104
10.41066
1 1.38203
3.44405
STD. ERROR
0.00010
0.00012
1.24431
1.36041
0.41 164
SKEWNESS
1.19233
1.03727
0.43018
-0.38565
-0.29032
KURTOSIS
0.30980
4.36667
-0.53375
0.15612
0.1396J
4-18
-------
TABLE 4-9. Statistics for Calibration and Drift for Radian Channel D.
TOTAL OBSERVATIONS: 69
ZER01
ZDFT
SPAN1
CALDFT
PCDFT
N OF CASES
69
69
69
69
69
MINI MUM
0.
-0.00200
301.00000
-36.00000
-10.CS403
MAXIMUM
0.00800
0.01300
364.00000
45.00000
14. 1 C 6 58
RANGE
0.00800
0.01500
63.00000
8 1 .00000
24 . 19062
MEAN
0.00180
0.00026
332.17391
6.37681
2.05349
VARIANCE
0.00000
0.00000
259.58696
295.15004
27.06687
STANDARD DEV
0.00170
0.00184
16.11170
17.17993
5.20258
STD. ERROR
0.00020
0.00022
1.93962
2.06822
0.62632
SKEWNESS
1.94010
4.78339
0.52123
-0.20955
-0.06096
kurtosis
3.35464
31.21183
-1.01342
-0.18583
-0.27960
4-19
-------
Figure 4-9. Frequency Diagram of Calibration Drift Data.
STEM AND LEAF PLOT OF VARIABLE: CALDFT
EST VALUE AT TOP OF PLOT IS: -36.00000
-3 6
-2 87765544
***0UTSI 0E VALUES***
-2 22100
-1 9977775
-1 444321000000
-0 9998887777766666665555
-0 H 4444444443322222222221111111111111
0 M 111111111112222222222222333333333333444444444444444
0 555555 55 555566666677777777888888888999999999
1 H 0000000000011111112222233333444444
1 555666667777888899999
2 0111122444444
2 556667889
3 01133
***0UTSIDE VALUES***
3 79
4 05
4-20
-------
Figure 4-10. Frequency Diagram of Drift Data
STEM AND LEAF PLOT OF VARIABLE: ZDFT
SMALLEST VALUE AT TOP OF PLOT IS: -.1600000E-01
-16 0
-12 0
-7 0
-6 000
-5 000
•••OUTSIDE VALUES***
-4 00
-3 0000000
-2 000000000000000000
-1 H 0000000000000000000000000000000000000000000000
0 M ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo*
1 H oooooooooooooooooooooooooooooooooooooooooooooooooo
2 0000000000000000
3 0000
4 000
***0UTSIDE VALUES***
5 00
6 0
13 0
4-21
-------
and "H" in the space between the steams and leaves denote the locations of
the median, and hinges respectively. The median divides the data sorted by
size into two halves, and the hinges divide the upper and lower halves into
halves again. The "H-spread" is the difference between the values of the
two hinges. The "inner fences" are defined as follows:
Any values outside the inner fences are printed on separate lines and
separated from the inner values by a line of text, "***OOTSIDE VALUES***."
Additional insight into hov the daily initial zero calibrations and
drifts changed during the course of the project can be seen especially in
Figures 4-6, 4-7, 4-8, and 4-9. The plotted data indicate a rather large
scatter (up to ±0.010 ppmC) for the first 30 days or so of the project,
after which time the scatter decreases to a considerably lover value. This
may indicate that there was an initial period of time to learn hov to
operate the instrument and to obtain consistent and precise results. The
first 20 days for Channel B, for example, taking absolute magnitudes,
average ZDFT ¦ 0.00375 (standard deviation * 0.0028), vhile the last 20
days average 0.00035 (standard deviation - 0.0005). No such trend is as
readily apparent in the daily propane span calibration graphs, Figures 4-1,
4-2, 4-3, or 4-4.
4.2.2 Preliminary Multiple Analyses
Before NMOC data vere obtained from the 22 designated sample sites
ambient samples vere obtained on each of four days in four canisters and
analyzed for NMOC on four Radian channels. The purposes of the runs were
to verify that the sampling and analysis equipment vas working properly and
to investigate possible differences among the Radian instrument channels.
Four sets of samples vere taken on June 14, 15, 18, and 19, 1984 and are
identified as DAT 1.000, 2.000, 3.000, and 4.000 respectively in Table
4-10. Four canisters vere used to obtain samples and are labeled CAN
1.000, 2.000, 3.000, and 4.000. Channels 1.000 through 4.000 in the table
lower fence ¦ lower hinge - (1.5 x H-spread),
upper fence • upper hinge + (1.5 x H-spread).
(4-2)
(4-3)
4-22
-------
TABLE 4-
10. Preliminary Multiple Analyses of Ambient Samples.
DAY CAN CHANNEL NMOC
CASE
1
1 .000
1 .000
1 .000
0.213
CASE
2
1 .000
1 .000
2.000
0.221
CASE
3
1.000
1.000
3.000
0. 167
CASE
4
1 .000
1.000
4.000
0.202
CASE
5
1.000
2.000
1.000
0. 198
CASE
6
1 .000
2.000
2.000
0.204
CASE
7
1 .000
2.000
3.000
0.161
CASE
8
1 .000
2.000
4.000
0.1,71
CASE
9
1.000
3.000
1.000
0.216
CASE
10
1 .000
3.000
2.000
0.206
CASE
1 1
1.000
3.000
3.000
0.182
CASE
12
1 .010
3.000
4.000
0.209
CASE
13
1.000
4.000
1. ooc
0. 189
CASE
14
1 .000
4.000
2.000
0.181
CASE
1 5
1 .000
4.000
3.000
0. 168
CASE
16
1.000
4.000
4.000
0.173
CASE
17
2.000
1.000
1.000
0.326
CASE
18
2.000
1.000
2.000
0.247
CASE
19
2.000
1.000
3.000
0.274
CASE
20
2.000
1.000
4.000
0.275
CASE
21
2.000
2.000
1.000
0.312
CASE
22
2.000
2.000
2.000
0.353
CASE
23
2.000
2.000
3.000
0.358
CASE
24
2.000
2.000
4.000
0.305
CASE
23
2.000
3.00C
1.000
0.315
CASE
26
2.000
3.000
2.000
0.260
CASE
27
2.000
3.000
3.000
0.262
CASE
28
2.000
3.000
4.000
0.254
CASE
29
2.000
4.000
1.000
0.274
CASE
30
2.000
4.000
2.000
0.250
CASE
31
2.000
4.000
3.000
0.257
CASE
32
2.000
4.000
4.000
0.252
CASE
33
3.000
1.000
1.000
•
CASE
34
3.000
1.000
2.000
•
CASE
35
3.000
1.000
3.000
0.212
CASE
36
3.000
1.000
4.000
0.212
CASE
37
3.000
2.000
1.000
•
CASE
38
3.000
2.000
2.000
•
CASE
39
3.000
2.000
3.000
0. 209
CASE
40
3.000
2.000
4.000
0.262
CASE
41
3.000
3.000
1 .000
0.252
CASE
42
3.000
3.000
2.000
0.185
CASE
43
3.000
3.000
3.000
0.142
CASE
44
3.000
3.000
4.000
0.170
CASE
45
3.000
4.000
1.000
0.221
CASE
46
3.000
4.000
2.000
0.173
CASE
47
3.000
4.000
3.000
0.155
CASE
48
3.000
4.000
4.000
0.160
CASE
49
4.000
1.000
1.000
1.207
CASE
50
4.000
1.000
2.000
1.249
CASE
51
4.000
1.000
3.000
1.116
CASE
52
4.000
1.000
4.000
1.121
CASE
53
4.000
2.000
1.000
1.127
CASE
54
4.000
2.000
2.000
1.242
CASE
55
4.000
2.000
3.000
1 .085
CASE
56
4.000
2.000
4.000
1.072
CASE
57
4.000
3.000
1.000
0.838
CASE
58
4.000
3.000
2.000
0.851
CASE
59
4.000
3.000
3.000
0.764
CASE
60
4.000
3.000
4.000
0.761
CASE
61
4.000
4.000
1.000
0.867
CASE
62
4.000
4.000
2.000
0.834
CASE
63
4.000
4.000
3.000
0.770
CASE
64
4.000
4.000
4.000
0.722
4-23
-------
Table 4-11. Statistics for Preliminary Ambient Samples.
THE FOLLOWING RESULTS ARE F0":
DAY
CAW
1 .00
) . 00
TOTAL OBSERVATIONS:
NMOC
N OF CASES
Ml NI MUM
MAX I MUM
MEAN
VARIANCE
STANDARD
OEV
STD. ERROR
4
0. 1 670
0.2210
0.2007
0.0006
0.0238
0.0119
THE FOLLOWING RESULTS ARE FOR:
DAY
CAM
TOTAL OBSERVATIONS:
1 .00
2.00
NMOC
N OF CASES
Ml NI MUM
MAX I MUM
MEAN
VARIANCE
STANDARD
DEV
STD. ERROP
4
0. 1610
0.2040
0.1835
0.0004
0.0208
0.0104
THE FOLLOWING RESULTS ARE FOR:
DAY
CAN
TOTAL OBSERVATIONS:
1.00
3.00
NMOC
M OF CASES
Ml KI i"Uf:
MAXIMUM
MEAN
VARIANCE
STANDARD
OEV
STD. ERROR
0.1820
0.2160
0.2032
0.0002
0.0148
0.0074
THE FOLLOWING RESULTS ARE FOR:
DAY
CAN
TOTAL OBSERVATIONS:
1 .00
4.00
NMOC
N OF CASES
MlNI MUM
MAXIMUM
MEAN
VARIANCE
STANDARD
DEV
STD. ERROR
4
0.1680
0.1890
0.1778
0.0001
0.0092
0.0046
4-24
(Cont.)
-------
Table 4-11. (cont.)
THE FOLLOWING RESULTS APf FOR:
DAY ¦ 2.00
CAK » 1.00
TOTAL OBSERVATIONS: 4
Mf'OC
N OF CASES 1
MINIMUf flirt
MAXIMUM
VARIANCE
STANDARD DEV J>
STD. ERROR 0.0165
THE FOLLOWING RESULTS ARE FOR:
OAY - 2.00
CAN ¦ 2.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES
MINIMUM 2*3580
MAXIMUM 0 1120
.. S 0007
VARIANCE J'5574
STANDARD OEV
STD. ERROR O.Oi^'
THE FOLLOWING RESULTS ARE FOR:
DAY - 2.00
CAN ' 3.00
TOTAL OBSERVATIONS: 4
Nt'CC
N OF CASES 0.2540
MIMt'UM « 3150
MAXIMUM
MEAN 0.0008
VARIANCE 0 0284
STAHOARD OEV
STD. ERROR 0,0
THE FOLLOWING RESULTS ARE FOR:
DAY ¦ 2.00
CAN - 4.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES *
MINIMUM 0.2500
MAXIMUM 0.2740
MEAN 0.2583
VARIANCE 0.0001
STANDARD DEV 0.0109
STD. ERROR 0.0055
4-25
(Cont.)
-------
Table 4-11. (cont.)
THE FOLLOWING RESULTS ARE FOR s
DAY . 3.00
CAN * 2.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES 2
MINIMUM 0.2090
MAXIMUM 0.2620
MEAN 0.2355
VARIANCE 0.0014
STANDARD DEV 0.0375
STD. ERROR 0.0265
THE FOLLOWING RESULTS ARE FORs
DAY « 3.00
CAN - 3.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES d
MINIMUM 0 u?0
MAXIMUM
«*» S:?KJ
VARIANCE 0.0022
STANDARD DEV n
STD. ERROR
THE FOLLOWING RESULTS ARE FOR:
DAY * 3.00
CAN
4.00
TOTAL OBSERVATIONS:
NMOC
N OF CASES 4
MINIMUM 0.1550
MAXIMUM 0.2210
MEAN 0.1772
VARIANCE 0.0009
STANDARD DEV 0.0301
STD. ERROR 0.0151
THE FOLLOWING RESULTS ARE FOR;
DAY »
CAN ¦
TOTAL OBSERVATIONS: 4
4.00
1.00
NMOC
N OF CASES 4
MINIMUM )>n#0
MAXIMUM y 2490
MEAN
1.1733
0.0043
0.0655
STD. ERROR 0.0326
VARIANCE 0.0043
STANDARD DEV 0.0„^
^ rnnAn vv'«'
o r
(Cont.)
-------
Table 4-11. (cont.)
THE FOLLOWING RESULTS are FOR:
DAY ¦ 4.00
CAN « 2.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES 4
MINIMUM 1.0720
MAXIMUM 1.2420
MEAN 1.1315
VARIANCE 0.0060
STANDARD DEV 0.0773
STD. ERROR 0.0387
THE FOLLOWING RESULTS ARE FOR:
DAY • 4.00
CAN • 3.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES 4
MINIMUM 0.7610
MAXIMUM 0.6510
MEAN 0.8035
VARIANCE 0.0023
STANDARD DEV 0.0477
STD. ERROR 0.0238
THE FOLLOWING RESULTS ARE FOR:
DAY ¦ 4.00
CAN " 4.00
TOTAL OBSERVATIONS: 4
NMOC
N OF CASES 4
MINIMUM 0.7220
MAXIMUM 0.8670
MEAN 0.7982
VARIANCE 0.0042
STANDARD OEV 0.0649
STD. ERROR 0.0324
4-27
-------
Table 4-12. Analysis of Variance for Preliminary Ambient Data.
MODEL: NMOC - u + DAY + CAN + CHANNEL + ERROR
OBSERVATION 33 HAS BEEN DELETED DUE TO VISSIN6 DATA.
OBSERVATION 34 HAS BEEN DELETED DUE TO MISSING DATA.
OBSERVATION 37 HAS BEEN DELETED DUE TO MISSING DATA.
OBSERVATION 38 HAS BEEN DELETED DUE TC MISSING DATA.
NUMBER OF CASES PROCESSED: 60
DEPENDENT VARIABLE MEAN: 0.427
MULTIPLE CORRELATION: .975
SQUARED MULTIPLE CORRELATION: .951
ANALYSIS OF VARIANCE
SOURCE SUM-OF-SQUARES DF MEAN-SQUARE F-RATIO P
DAY 6.506 3 2.169 304.504 .000
CAN 0.210 3 0.070 9.819 .000
CHANNEL 0.039 3 0.013 1.826 .154
ERROR 0.356 50 0.007
4-28
-------
are Radian instrument Channels A, B, C, and 0, respectively. Table 4-11
shows statistics for NMOC values of the DAT-CAN combinations given in Table
4-10. The first set of statistics are for DAT"1.00 and CAN1" 1.00 and shows
a maximum NMOC value of 0.221 ppmC and a minimum of 0.167 with a mean of
0.2007 ppmC. The other statistics given in Table 4-11 for DAY«1.00,
CAN-1.00, are the variance, the standard deviation, and the standard error.
The table summarizes similar statistics for the several DAT-CAN
combinations. The number of cases cited refer to the number of analyses
done on Radian Channels.
Table 4-12 shows the analysis of variance (ANOVA) to assess the
potential of the variables DAT, CAN, and CHANNEL to have significant
effects in characterizing the NMOC variance. Observations 33, 34, 37, and
38 were deleted because of missing data. The program used to calculate the
ANOVA was able to handle the calculations for the unbalanced design and the
results are shown in Table 4-12. The analysis of variance indicated that
the collection day (variable DAT), and the canister (CAN) to be highly
significant (nPH in the ANOVA table<0.01), but that the variable CHANNEL
was not aignficant at the 0.05 level ("P" in the ANOVA table>0.05). The
preliminary analysis of the four ambient samples indicated that the NMOC
values did not differ significantly among the Radian channels.
These results can be misleading, however, because pairs of canisters
were sampled consecutively on each of the four days. If sampling is
introduced as a factor, then CANS no longer is a factor, but Sampling
Procedure does become significant. Because these were preliminary tests
designed primarily to check out the instrumentation operability, little
weight was given these preliminary results. Tests on duplicate samples
(see Section 4.2.4 below) shows that the "CAN" effect is not a significant
factor.
4.2.3 Repeated Analvin
Several ambient samples were analyzed more than once, either by the
same channel, or by a different channel. The purposes of repeating the
analyses were to obtain the overall precision of the determination for a
particular channel, and also to obtain the between-channel variability. It
was also possible to determine if there were significant differences
between the various channels.
4-29
-------
The samples from the 22 designated sites were all sent to the Radian
Research Triangle Park Laboratory where they were first analyzed. Two
types of repeated analyses were done. The first type involved reanalysis
of a sample from one of the designated 22 sites. Repeated analyzes of
these samples were done either by one of the Radian Channels, A, B, C, or
D, and/or by one or both of the EPA Channels, E or GC. The selection of
these samples for the repeated ana lyes was done on a random basis as
described in the Quality Assurance Project Plan, and the selection of the
channel(s) for the repeated analyses was also done by random selection.
For the second type of repeated analysis ambient samples were collected
locally in the Raleigh-Durham-Chapel Hill-Research Triangle Park area by
the Quality Assurance Division (QAD) of the U.S. EPA's Environmental
Monitoring System Laboratory at Research Triangle Park. These samples were
first analyzed by EPA's Channel E (QAD Instrument) followed by reanalyses
on the four Radian Channels* This series of repeated analyses are con-
sidered separately below in Section 4.2.3.2 Local Ambient Samples.
4.2.3.1 All Sites Table 4-13 presents the data for the repeated
analyses from all sampling sites including the local ambient samples
discussed above. Cases 485 through 531 summarise the results of the
repeated analyses from the local ambient samples. All the rest of the
cases given in Table 4-13 are results from the 22 designated sites. As
seen from Table 4-13, the Radian identification number, the mean NHOC value
(in ppmC), the difference between the NMOC values for analyses, and the
channels of the first and subsequent analysis. Negative values of D1
indicate that the initial analysis had a lower value than the subsequent
analysis. Mean NMOC values for the repeated analyses (NMOCBAR) are given
to explore if the NMOC level had any effect on the results.
Table 4-14 and Figure 4-11 give additional statistics and information
on the character of the repeated analyais data. A striking statistic given
in Table 4-14 is the kurtosis of the difference data, Dl, which equals
11.03264. This may indicate an unusually sharp peak in the frequency
distribution data, or the preaence of outliers among the DI data. Examina-
tion of Tables 4-13 and 4-14 indicate that the maximum DI value of 1.46
(Case 356) and the minimum DI value of —1.05 (Case 77 of Table 4—13) are
4-30
-------
Table 4-13. Mean NMOC Value and Differences of Repeated Analyses.
RADIO Red I an San-ple Identification Number
ALPHA Channel for the First Analysis
BETA Channel for a Subsequent Analysis
NMOCBAR Mean NMOC for Repeated Analyses (¦(NM0C1+NV0C2>/2>
01 Difference of Repeated Analyses (* NMOC 1 -Nf'0C2 )
CHANNEL IDENTIFICATION:
1.000 Radian Channel A
2.000 Radian Channel B
3.000 Radian Channel C
4.000 Radian Channel D
5.000 EPA OAD Channel
6.000 EPA ESRl Channel
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
16
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
RAD ID
1 175.000
2172.000
1082.000
2307.000
1684.000
1665.OOv
1 1 58.000
1 184.000
1656.000
1434.OCO
2462.000
1061.000
1877.000
1958.000
2335.000
1889.000
1106.000
1040.000
2407.000
1694.000
2021.000
2033.000
2398.000
1999.000
1263.000
1138.000
1340.000
1385.000
1088.000
2005.000
1903.000
2400.000
2334.000
1015.000
1233.000
1209.000
1402.000
1618.000
2226.000
1231.000
1310.000
1473.000
2363.000
1212.000
1249.000
1315.000
2128.000
2050.000
2115.000
2471.000
1255.000
2027.000
2409.000
1371.000
1907.000
1053.000
2445.000
1133.000
1260.000
1410.000
2268.000
1029.000
1033.000
ALPHA
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
BETA
NMOCBAR
1.000
0.580
0.04C
1.000
0.475
-0.030
1 .000
1 .000
0.060
1 .000
0. 585
0.01C
2.000
0.400
-0.060
2.000
0.605
-0.010
4.000
0.945
0.110
5.000
0.710
-0.100
5.000
0.800
-0.080
5.000
1.365
-0.270
5.000
0.825
-0.150
5.000
0.705
-0.090
5.000
1.065
-0.010
5.000
0.945
0.090
5.000
0.890
-0.100
5.000
0.830
-0.660
5.000
1.485
-0.130
5.000
1.050
-0.340
5.000
0.565
-0.130
5.000
0.490
-0.100
5.000
0.675
-0.130
5.000
1.895
-0.070
5.000
0.655
-0.010
5.000
1.105
-0.030
5.000
0.835
-0.130
5.000
1.065
-0.530
5.000
1.095
-0.350
5.000
1.355
-0.350
5.000
1.595
-0.010
5.000
4.320
0.080
5.000
0.330
-0.160
5.000
0.420
-0.060
5.000
1.305
-0.070
5.000
1.055
-0.190
5.000
0.620
-0.020
6.000
0.450
0.040
6.000
0.420
0.040
6.000
0.645
0. 1 10
6.000
0.510
-0.020
6.000
0.670
0.120
6.000
0.675
-0.030
6.000
1.450
-0.060
6.000
2.930
0.320
6.000
0.530
0.020
6.000
1.285
-0.690
6.000
1.040
0.200
6.000
1.435
-1.050
6.000
0.660
0.060
6.000
0.495
0.050
6.000
0.455
0.050
6.000
0.495
-0.030
6.000
0.455
0.050
6.000
0.985
0. 150
6.000
4.010
0.140
6.000
0.770
0.080
6.000
4.170
0.280
6.000
0.495
-0.090
6.000
0.325
0.010
6.000
0.745
0.170
6.000
0.895
0.070
6.000
0.340
0.
6.000
1.510
-0.180
6.000
0.725
0.330
-------
Table 4-13
(cont.)
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
64
65
66
67
66
69
70
7 1
72
73
74
75
76
77
78
79
60
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
ioe
109
110
1 11
112
1 13
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
'049.000
"31. 000
1979.000
1081.000
1294.000
'376.000
1423.000
2064.000
1216.000
'342.000
1343.000
1492.000
2327.000
2440.000
1 "2.000
1 "8.000
1479.000
2297.000
2033.000
1489.000
1875.000
2022.000
2364.000
1030.000
1190.000
1497.000
2057.000
2412.000
1871.000
1099.000
1820.000
1858.000
1008.000
1635.000
2005.000
1103.000
1644.000
1788.000
1220.000
234 5.000
1037.000
1080.000
1079.000
"05.000
2108.000
2469.000
1344.000
1559.000
1494.000
1651.000
1084.000
1113.000
1135.000
2439.000
2102.000
2405.000
2474.000
1428.000
1666.000
1195.000
1383.000
2366.000
1001.000
1335.000
1075.000
2133.000
2097.000
1985.000
"24.000
"91.000
1066.000
1219.000
1262.000
' "6.000
2127.000
.000
.000
.0 oc
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
2.000
4-32
6.000
6.000
6. 000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
1 .000
1 .000
1 .000
2.000
2.000
2.000
3.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
1.615
0. 580
0.465
1 .085
0.765
1 . 295
1 .565
1 .325
1 .290
2.460
0.670
0.530
,205
,400
.875
,555
,335
.760
1.810
0.700
1 .380
1.900
1 .835
0.805
0.760
0.285
1 .010
0.690
0.440
0.610
0.190
0.490
1.070
0.790
4.040
0.550
0.220
0.370
1 .345
1.520
0.655
0.295
0.410
0.545
1.535
1 .1 00
0.620
1 .27 5
0.330
0.235
1 .055
1.810
0.875
0.275
0.450
0.505
0.205
1.525
1.545
1 .145
1 .285
1.040
1.320
0.980
0.945
0.855
0.555
0.680
1 .220
2.365
0.750
0.715
0.400
1.070
0.370
0.170
0.0 20
0.030
0.070
0.050
0.110
-0.430
0. 050
0.020
0.040
0.
-0.040
0. 130
0.060
0.330
0.050
0.210
0.060
0.1 00
0.200
0. 1 00
0.
0. 170
-0.090
0. 1 20
0.010
-0.100
0.040
-0.280
0.060
0.020
0.
-0.120
0.060
0.640
0.060
0.040
0.080
0.010
0.140
0. 130
-0.030
0.080
0.050
-0.310
-0.020
-C.100
0.050
0.
-0.090
-0.050
0.260
-0.490
-0.090
-0.140
-0.510
-0.050
-0.170
0.110
-0.010
-0.290
-0.260
-0.620
-0.360
-0.190
-0.010
-0.130
-0.100
-0.220
0. 190
-0.140
-0.250
-0.260
-0.160
-0.C40
-------
Table 4-13
(cont.)
CASE 139
CASE WO
CASE 141
CASE 142
CASE 143
CASE 144
CASE 145
CASE 146
CASE 147
CASE 148
CASE 149
CASE 150
CASE 151
CASE 152
CASE 153
CASE 154
CASE 155
CASE 156
CASE 157
CASE 158
CASE 159
CASE 160
CASE 161
CASE 162
CASE 163
CASE 164
CASE 165
CASE 166
CASE 167
CASE 168
CASE 169
CASE 170
CASE 171
CASE 172
CASE 173
CASE 174
CASE 175
CASE 176
CASE 177
CASE 178
CASE 179
CASE 180
CASE 181
CASE 182
CASE 183
CASE 184
CASE 185
CASE 186
CASE 187
CASE 188
CASE 189
CASE 190
CASE 191
CASE 192
CASE 193
CASE 194
CASE 195
CASE 196
CASE 197
CASE 198
CASE 199
CASE 200
CASE 201
CASE 202
CASE 203
CASE 204
CASE 205
CASE 206
CASE 207
CASE 208
CASE 209
CASE 210
'623.COO
1712.000
2003.000
1 113.000
1918.000
2014.000
2298.000
1494.000
1766.000
1679.000
1216.000
1264.000
1458.000
1616.000
1872.000
2294.000
1411.000
2410.000
2474.000
1380.000
2367.000
1068.000
1377.000
1562.000
2038.000
1084,000
1007.000
1155.000
1365.000
2006.000
2330.000
1027.000
1034.000
1361.000
1491.000
2360.000
1047.000
1739.000
1944.000
2097.000
2250.000
1471.000
1 506.000
1599.000
1633.000
1984.000
2181.000
1809.000
1985.000
2070.000
1429.000
1460.000
1091.000
1790.000
2272.000
2496.000
1140.000
1206.000
1248.000
1400.000
1700.000
1696.000
1923.000
1019.000
1038.000
1257.000
1344.000
1548.000
2432.000
1100.000
1285.000
1439.000
2.000
5.000
C. 765
-0.51C
2.000
5.000
1. 195
-0.210
-0.040
2.000
5.000
0. 560
2.000
6.000
1 .670
0.140
2.000
6.000
0.110
0.C40
2.000
6.000
C.420
0.
2.COO
6.000
0.740
0. 060
2.000
6.000
0.305
0.050
2.000
6.000
1.530
0.220
2.000
6.000
0. 525
0. 030
2.000
6.000
0.620
-0.020
2.000
6.000
0.605
0.C30
2.000
6.000
1 .160
0.020
2.000
6.000
1 .065
0. 1 30
2.000
6.000
3.795
0.090
2.000
6.000
0.085
0.050
7.000
6.000
0.265
-0.170
2.000
6.000
0.770
0.040
2.000
6.000
0.165
0.030
2.000
6.000
1. 180
0. 100
2.000
6.000
1.160
0.120
2.000
6.000
0.455
0.01C
2.000
6.000
0.455
-0.010
2.000
6.000
0.500
0.080
2.000
6.000
0.475
O.CIO
2.000
6.000
0.950
0. 160
2.000
6.000
0.940
-0.120
2.000
6.000
0.680
0.120
2.000
6.000
0.780
0.060
2.000
6.000
0.545
0.050
2.000
6.000
0.950
-0.020
2.000
6.000
1.610
-0.140
2.000
6.000
1.470
-0.120
2.000
6.000
0.325
0.010
2.000
6.000
0.870
0.040
2.000
6.000
1.745
0. 190
2.000
6.000
1.240
0.100
2.000
6.000
2.025
0.130
2.000
6.000
0.810
0.040
2.000
6.000
0.480
0.020
2.000
6.000
0.405
-0.010
2.000
6.000
1.610
-0.300
2.000
6.000
1.630
0.100
2.000
6.000
0.465
0.070
2.000
6.000
0.450
0.020
2.000
6.000
0.620
0.080
2.000
6.000
0.620
0.080
2.000
6.000
1 .795
0.210
2.000
6.000
0.620
0.020
2.000
e.ooo
2.155
0.170
2.000
6.000
1.605
0.070
2.000
6.000
0.730
0. 140
2.000
6.000
0.825
-0.050
2.000
6.000
0.745
0.210
2.000
6.000
0.850
0.080
2.000
6.000
0.545
0.090
2.000
6.000
0.440
0.
2.000
6.000
0.570
0.060
2.000
6.000
0.420
-0.100
2.000
6.000
0.385
0.050
2.000
6.000
0.555
0.070
2.000
6.000
0.450
0.080
2.000
6.000
0.370
0.040
2.000
6.000
1 .275
0.030
2.000
6.000
0.620
0.080
2.000
6.000
0.830
-0.060
2.000
6.000
0.870
-0.600
2.000
6.000
4.720
0.040
2.000
6.000
0.560
C.C40
2.000
6.000
0.880
o.oec
2.000
6.000
0.465
-0.010
2.000
6.000
0.425
0.010
4-33
-------
Table 4-13 (cont.)
CASE
21 1
2227.000
2.000
CASE
212
2269.000
2. 000
CASE
213
1118.000
2.000
CASE
214
1464.000
2.000
CASE
215
1708.000
2.000
CASE
216
2284.000
2.000
CASE
217
1360.000
2. 000
CASE
218
2375.000
2.000
CASE
219
1202.000
3.000
CASE
220
1792.000
3.000
CASE
221
1236.000
3.000
CASE
222
1490.000
3.000
CASE
223
1812.000
3.000
CASE
224
1718.000
3.000
CASE
225
2273.000
3.000
CASE
226
1973.000
3.000
CASE
227
1447.000
3.000
CASE
228
1455.000
3.000
CASE
229
2449.000
3.000
CASE
230
1254.000
3.000
CASE
231
2155.000
3.000
CASE
232
2042.000
3.000
CASE
233
2206.000
3.000
CASE
234
1484.000
3.000
CASE
235
2356.000
3.000
CASE
236
1325.000
3.000
CASE
237
1936.000
3.000
CASE
238
1408.000
3.000
CASE
239
1770.000
3.000
CASE
240
2361.000
3.000
CASE
241
1 152.000
3.000
CASE
242
1761.000
3.000
CASE
243
1634.000
3.000
CASE
244
1675.000
3.000
CASE
245
1754.000
3.000
CASE
246
1645.000
3.000
CASE
247
1927.000
3.000
CASE
248
1969.000
3.000
CASE
249
1210.000
3.000
CASE
250
2071.000
3.000
CASE
251
1170.000
3.000
CASE
252
1347.000
3.000
CASE
253
1670.000
3.000
CASE
254
1935.000
3.000
CASE
255
1024.000
3.000
CASE
256
1054.000
3.000
CASE
257
1072.000
3.000
CASE
258
1692.000
3.000
CASE
259
2168.000
3.000
CASE
260
1119.000
3.000
CASE
261
1891.000
3.000
CASE
262
1904.000
3.000
CASE
263
1073.000
3.000
CASE
264
1324.000
3.000
CASE
265
1593.000
3.000
CASE
266
1624.000
3.000
CASE
267
1753.000
3.000
CASE
268
1856.000
3.000
CASE
269
2054.000
3.000
CASE
270
2468.000
3.000
CASE
271
1523.000
3.000
CASE
272
1610.000
3.000
CASE
273
1819.000
3.000
CASE
274
2241.000
3.000
CASE
275
2281.000
3.000
CASE
276
1046.000
3.000
CASE
277
1050.000
3.000
CASE
278
1274.000
3.000
CASE
279
1442.000
3.000
CASE
280
1659.000
3.000
CASE
281
1721.000
3.000
CASE
282
2423.000
3.000
CASE
2 83
2472.000
3.000
CASE
284
1406.000
3.000
6.000
6.CC0
6. 000
6.000
6. 000
6.000
6.000
6.0C0
1 .000
1 .000
3.000
4.000
4.000
4.000
4.000
4.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.COO
5.000
5.000
5.000
5.000
5. 000
5.000
5.000
5.000
5.000
5.000
5.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
0.13;
C.280
0.560
C.620
0.600
0.545
0.455
0.175
0.795
0.820
0.855
1 .325
0.525
0.81 5
1 .870
0.855
1 .230
0.680
0.315
0.740
0.310
0.695
1.010
0.570
0.805
1.185
0.960
1.515
0.810
1.760
0.725
0.905
1.160
0.920
1.055
0.500
3.670
1.185
0.885
0.730
1.290
0.700
0.360
0.590
1 .1 60
0.980
0.785
0.340
0.215
1 .355
0.525
0.825
0.720
0.405
0.485
0.370
0.680
0.350
0.540
0.230
0.690
0.540
0.710
2. 120
0.630
0.960
1 .300
0.435
0. 185
0.765
0.270
1 .745
0.210
2.405
0.C1 c
-0.32C
C.04C
0. 1 2C
C.08C
0.C50
-0.050
-0.010
0. 050
-0.060
0.C73
0.270
-0.030
0.250
0.180
0.050
-0.240
-0.040
0.010
-0.100
-0.040
-0.050
0.020
-0.040
-0.010
-0.230
0.040
-0.090
-0.360
0.040
-0.190
-0.270
-0.140
0.120
-0.090
-0.120
0.060
-0.350
-0.290
0.080
-0.080
-0.080
-0.120
-0.040
-0.120
-0.040
-0.110
-0.220
-0.130
-0.830
-0.090
-0.170
0.
0.050
0.070
0.
-0.160
0.
0.1 20
-0.040
0.200
0.020
0.06C
0. 180
0.200
0.320
0.340
0.050
0.010
0. 1 10
-0.020
C. 150
0.
0.390
-------
Table A—13 (cont.)
CASE
285
1646.000
3.000
6.000
0. 900
0. 1 8C
CASE
286
2283.000
3.000
6.000
1 . 075
0.170
CASE
287
2393.000
3.000
6.000
2. 490
0.340
CASE
288
2418.000
3.000
6.000
1 . 375
0. 1 30
CASE
289
2459.000
3.000
6.000
1 . 065
0.170
CASE
290
1735.000
3.000
6.000
0.510
0.
CASE
291
2180.000
3.000
6.000
1.110
0. 1 20
CASE
292
1078.000
3.000
6.000
1. 795
0. 290
CASE
293
1161.000
3.000
6.000
0.695
0.110
CASE
294
1573.000
3.000
6.000
0.465
0.050
CASE
295
1650.000
3.000
6.000
0.670
0.000
CASE
296
1929.000
3.000
6.000
0.670
0. 160
CASE
297
2161 .000
3.000
6.000
2.610
0.660
CASE
298
2174.000
3.000
6.000
0.590
0.
CASE
299
1000.000
3.000
6.000
0.890
C)
eg
o
0
1
CASE
300
1028.000
3.000
6.000
1.610
0.
CASE
301
1070.000
3.000
6.000
0.985
0.03C
CASE
302
1 174.000
3.000
6.000
0.460
0.060
CASE
303
1566.000
3.000
6.000
1 .305
0.230
CASE
304
1852.000
3.000
6.000
0.380
0.020
CASE
305
1936.000
3.000
6.000
0.955
0.050
CASE
306
2152.000
3.000
6.000
0.730
0. 1 CO
CASE
307
2203.000
3.000
6.000
0.485
0.050
CASE
306
1180.000
3.000
6.000
1 . 140
0. 140
CASE
309
1450.000
3.000
6.000
0.780
0. 120
CASE
310
1877.000
3.000
6.000
0.815
0.050
CASE
311
2223.000
3.000
6.000
1.030
0.060
CASE
312
2428.000
3.000
6.000
1.805
0.010
CASE
313
1042.000
3.000
6.000
0.725
0.250
CASE
314
1239.000
3.000
6.000
0.505
-0.070
CASE
315
1334.000
3.000
6.000
0.630
0.120
CASE
316
1630.000
3.000
6.000
0.475
0.030
CASE
317
1802.000
3.000
6.000
1.200
0.140
CASE
318
2333.000
3.000
6.000
1.605
0.030
CASE
319
2484.000
3.000
6.000
0.735
0.030
CASE
320
1675.000
3.000
6.000
0.810
0.340
CASE
321
1833.000
3.000
6.000
0.550
0. 260
CASE
322
1822.000
3.000
6.000
0.620
0.040
CASE
323
2126.000
3.000
6.000
0.425
0. 090
CASE
324
2487.000
3.000
6.000
0.460
-0.180
CASE
325
1782.000
3. COO
6.000
1 .385
0.530
CASE
326
1927.000
3.000
6.000
3.525
0.350
CASE
327
2323.000
3.000
6.000
0.495
0.010
CASE
328
1351.000
3.000
6.000
1.560
0.060
CASE
329
2200.000
3.000
6.000
0.720
0.040
CASE
330
1012.000
3.000
6.000
0.865
0.030
CASE
331
1032.000
3.000
6.000
1.085
0.05C
CASE
332
1059.000
3.000
6.000
1 .325
0.290
CASE
333
1359.000
3.000
6.0 00
0.510
-0.060
CASE
334
1640.000
3.000
6.000
0.760
0.1 00
CASE
335
1670.000
3.000
6.000
0.295
0.010
CASE
336
1774.000
3.000
6.000
0.670
0.
CASE
337
1935.000
3.000
6.000
0.480
0.180
CASE
338
2158.000
3.000
6.000
0.530
0.040
CASE
339
1621.000
3.000
6.000
0.745
-0.050
CASE
340
1963.000
3.000
6.000
2.125
0. 150
CASE
341
1840.000
3.000
6.000
0.495
0.290
CASE
342
2177.000
3.000
6.000
0.395
-0.010
CASE
343
1130.000
3.000
6.000
0.840
0.100
CASE
344
1483.000
3.000
6.000
2.220
0.260
CASE
345
1795.000
3.000
6.000
0.945
-0.050
CASE
346
1843.000
3.000
6.000
0.320
0.
CASE
347
2188.000
3.000
6.000
0.725
0.010
CASE
348
1244.000
3.000
6.000
0.785
0.210
CASE
349
1585.000
3.000
6.000
0.430
0.040
CASE
350
1686.000
3.000
6.000
0.680
-0.020
CASE
351
1973.000
3.000
6.000
0.840
0.080
CASE
352
2072.000
3.000
6.000
0.175
0.030
CASE
353
1151.000
3.000
6.000
0.455
0.070
4-35
-------
Table 4-13 (cont.)
CASE
354
1605.000
CASE
355
1756.000
CASE
356
1990.000
CASE
357
1010.000
CASE
358
1188.000
CASE
359
1372.000
CASE
360
1564.000
CASE
361
1619.000
CASE
362
1742.000
CASE
363
1691.000
CASE
364
2388.000
CASE
365
1797.000
CASE
366
1 169.000
CASE
367
1777.000
CASE
368
2147.000
CASE
369
2170.000
CASE
370
2325.000
CASE
371
1863.000
CASE
372
1357.000
CASE
373
2448.000
CASE
374
1878.000
CASE
37 5
2039.000
CASE
376
1011.000
CASE
377
1031.000
CASE
378
1253.000
CASE
379
2087.000
CASE
380
1853.000
CASE
381
1087.000
CASE
382
2392.000
CASE
383
1449.000
CASE
384
1044.000
CASE
385
2173.000
CASE
386
1860.000
CASE
387
2154.000
CASE
388
1457.000
CASE
389
1045.000
CASE
390
1157.000
CASE
391
1124.000
CASE
392
1206.000
CASE
393
1409.000
CASE
394
1451.000
CASE
395
1313.000
CASE
396
2371.000
CASE
397
1048.000
CASE
398
1098.000
CASE
399
2217.000
CASE
400
2466.000
CASE
401
1116.000
CASE
402
1153.000
CASE
403
1723.000
CASE
404
2159.000
CASE
405
2489.000
CASE
406
1870.000
CASE
407
1052.000
CASE
408
1671.000
CASE
409
2278.000
CASE
410
1323.000
CASE
411
1495.000
CASE
412
1591.000
CASE
413
1617.000
CASE
414
1663.000
CASE
415
1678.000
CASE
416
1841.000
CASE
417
2301.000
CASE
418
1490.000
CASE
419
2450.000
CASE
420
1006.000
CASE
421
1018.000
CASE
422
1069.000
CASE
423
1234.000
CASE
424
1258.000
CASE
425
1661.000
,000
6.000
0.745
000
6.000
0.69C
000
6.000
0.635
000
6.000
0.705
000
6. 000
0.360
,000
6.000
0.415
000
6.000
0.215
,000
6.000
0.435
000
6.000
0.505
,000
6.000
0. 560
000
6.00C
i. ii;
000
2.000
0.765
000
3.000
0.395
000
3.000
0.705
000
3.000
1.810
000
4.000
0.490
000
4.000
0.930
000
5.000
1 .065
000
5.000
1.035
000
5.000
4.260
000
5.000
1.825
000
5.000
1. 140
000
5.000
1.780
000
5.000
1.075
00 0
5.000
0.660
000
5.000
0.325
000
5.000
1.135
000
5.000
1.170
000
5.000
0.370
000
5.000
0.820
000
5.000
1.675
000
5.000
0.495
000
5.000
0.605
000
5.000
0.680
000
5.000
0.685
000
5.000
1 .100
000
5.000
0.270
000
5.000
1.195
000
5.000
1.150
000
5.000
1.410
000
5.000
1.445
000
5.000
0.950
000
5.000
0.455
000
5.000
0.430
000
5.000
0.930
000
5.000
0.850
000
5.000
0.250
000
6.000
0.840
000
6.000
0.335
000
6.000
0.545
000
6.000
0.500
000
6.000
0.335
000
6.000
0.420
000
6.000
2.560
000
6.000
1.665
000
6.000
0.095
000
6.000
0.375
000
6.000
0.225
000
6.000
0.590
000
6.000
0.760
000
6.000
1.255
000
6.000
0.350
000
6.000
0.360
000
6.000
0.820
000
6.000
1.190
000
6.000
2.570
000
6.000
1.155
000
6.000
0.880
000
6.000
0.490
000
6.000
0.575
000
6.000
0.480
000
6.000
1.840
o.no
0.040
0.030
0.030
0. C80
0.050
0.010
0.210
-0.110
-0.160
0.110
-0.090
-0.01C
0.03C
-0. UC
-0.020
-0.020
-0.370
-0.170
0.020
0.010
0.040
-0.220
-0.130
-0.180
-0.090
-0.190
-0.140
-0.120
-0.240
-0.190
0.010
-0.070
-0.060
-0.270
-0.140
-0.120
-0.610
-0.400
-0.100
-0.190
-0.360
-0.270
-0.120
-0.380
-0.100
-0.120
-0.020
-C.090
0.150
0.100
0.090
-0.020
0.380
0. 130
0.030
-0.050
0.010
0. 140
0. 100
0. 190
0.020
0.040
0.
0.
0.1 00
-0.130
0.
0.080
-0.010
-0.020
-0.220
4-36
-------
Table 4-13 (cont.)
CASE
426
2149.000
CASE
427
2392.000
CASE
426
1626.000
CASE
429
1976.000
CASE
430
2461.000
CASE
431
1267.000
CASE
432
1441 .000
CASE
433
1748.000
CASE
434
2498.000
CASE
435
1021.000
CASE
436
1955.000
CASE
437
1039.000
CASE
438
1200.000
CASE
439
1565.000
CASE
440
2062.000
CASE
441
1387.000
CASE
442
1424.000
CASE
443
1860.000
CASE
444
2051.000
CASE
445
2061.000
CASE
446
1163.000
CASE
447
1293.000
CASE
448
1797.000
CASE
449
1902.000
CASE
450
1846.000
CASE
451
1898.000
CASE
452
2175.000
CASE
453
1603.000
CASE
454
1674.000
CASE
455
2144.000
CASE
456
2434.000
CASE
457
2279.000
CASE
458
2340.000
CASE
459
1192.000
CASE
460
1225.000
CASE
461
1321.000
CASE
462
1664.000
CASE
463
2116.000
CASE
464
2368.000
CASE
465
1056.000
CASE
466
1561.000
CASE
467
1653.000
CASE
468
1893.000
CASE
469
2112.000
CASE
470
2324.000
CASE
471
1235.000
CASE
472
1930.000
CASE
473
1981.000
CASE
474
2353.000
CASE
475
1167.000
CASE
476
1681.000
CASE
477
2426.000
CASE
478
1186.000
CASE
479
1316.000
CASE
480
2100.000
CASE
481
2464.000
CASE
482
1016.000
CASE
483
2000.000
CASE
484
2199.000
CASE
485
1041.000
CASE
486
1095.000
CASE
487
1160.000
CASE
488
1282.000
CASE
489
1502.000
CASE
490
1529.000
CASE
491
1581.000
CASE
492
1733.000
CASE
493
1851.000
CASE
494
1946.000
CASE
495
2034.000
.000
.000
.000
.000
.000
.000
.oco
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
6.000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
0.315
0.325
1.005
0.440
3.720
0.610
1 .000
0.955
0.270
0.625
0.505
1 .600
0.625
1.190
1 .500
1.385
0.610
0.530
0.740
0.535
1.395
2.595
0.730
0.410
0.610
0.640
0.850
1.950
0.845
1.495
120
315
415
1.460
1.435
760
560
650
1.995
760
395
135
390
880
460
725
760
435
3 20
235
880
800
j .645
920
555
880
505
805
295
1.610
760
220
1.405
1.410
1.535
1.525
1.560
0.245
1.190
0.630
1
0.
0.
0.
0.
0.
0.010
-0.030
0. 1 30
0.040
0.420
0.
0. 060
-0.210
0.020
0.13C
-0.070
0.020
-0.050
0.200
0.280
0.050
0. 140
0.080
0.080
0.090
0.330
0.230
-0.020
-0.060
0.140
0.
-0.060
0.240
0.170
0.170
0.140
0.030
-0.150
1.460
-0.350
-0.060
• 0.060
0.
0.090
0.140
0.050
0. 170
-0.020
0.140
0.040
0.030
0.040
0.050
-0.020
0.050
0.
-0.280
0.210
0.120
-0.050
0.020
0.250
0.010
-0.010
0.
-0.040
-0.180
-0.150
-0.140
-0.110
-0.010
0.040
-0.050
-0.120
-0.040
4-37
-------
Table 4-13 (cont.)
CASE 496 2387.000 5.
CASE 497 2499.000 5.
CASE 498 1041.000 5.
CASE 499 1095.000 5.
CASE 500 1160.000 5.
CASE 501 1282.000 5.
CASE 502 1502.000 5.
CASE 503 1 581 .000 5.
CASE 504 1733.000 5.
CASE 505 1851.000 5.
CASE 506 1946.000 5.
CASE 507 2034.030 5.
CASE 508 2387.000 5.
CASE 509 2499.000 5.
CASE 510 1041.000 5.
CASE 511 1095.000 5.
CASE 512 1160.000 5.
CASE 513 1282.000 5.
CASE 514 1502.000 5.
CASE 515 1581.000 5.
CASE 516 1851.000 5.
CASE 517 1946.000 5.
CASE 518 2034.000 5.
CASE 519 2387.000 5.
CASE 520 2499.000 5.
CASE 521 1041.000 5.
CASE 522 1095.000 5.
CASE 523 1160.000 5.
CASE 524 1282.000 3.
CASE 525 1502.000 5.
CASE 526 1581,000 5.
CASE 527 1851.000 5.
CASE 528 1946.000 5.
CASE 529 2034.000 5.
CASE 530 2387.000 5.
CASE 531 2499.000 5.
000
1 .000
2. 065
-0.110
000
1 .000
3.050
-0.18C
000
2.000
1 .620
-0.020
000
2.000
0.785
-0.090
000
2.000
2.180
-0.100
000
2.000
1 .360
-0.060
000
2.000
1 .400
-0.120
000
2.000
1 .550
-0.060
000
2.000
1 .580
0.
000
2.000
0.220
0.
000
2.000
1 .200
-C.140
000
2.000
0.620
-0.02C
000
2.000
2.075
-0.130
000
2.000
3.080
-0.240
000
3.000
1.660
-0.100
000
3.000
0.750
-0.020
000
3.000
2.230
-0.200
000
3.000
1 .325
0.010
000
3.000
1 .385
-0.090
000
3.000
1.490
0.060
000
3.000
0.220
C.
000
3.000
1.150
-0.C40
000
3.000
0.630
-0.040
000
3.000
2.040
-0.06C
000
3.000
3.030
-0.140
000
4.000
1.655
-0.090
000
4.000
0.735
0.010
000
4.000
2.240
-0.220
000
4.000
1.300
0.060
000
4.000
1.340
0.
000
4.000
1.510
0.020
000
4.000
0.225
-0.010
000
4.000
1.140
-0.020
000
4.000
0.625
-0.030
000
4.000
2.000
0.020
000
4.000
2.970
-0.020
-------
4-39
-------
Table 4-14. Statistics for Repeated Analyses,
Mean NMOC, and NMOC Differences.
TOTAL OBSERVATIONS: 531
N OF CASES
MINI MUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
NM0C3AR
531
0.08500
4.72000
4.63500
0.97391
0.48021
0.69297
0.03007
2.13691
6.29178
D I
531
-1 . 05000
1.46000
2.51000
-0.00194
0.03377
0.18376
0.00797
0.06887
1 1 .03264
4-40
-------
Figure 4*11. Frequency Diagram of Repeated Difference Data.
STEM AND LEAF PLOT OF VARIABLE: DI
SMALLEST VALUE AT TOP OF PLOT IS: -1.050000
-10 5
-8 3
-6 96210
-5 311
-4 930
-3 8766655554
***OUTSIDE VALUES***
-3 2
-3 10
-2 9988
-2 777766
-2 5444
-2 322222
-2 110
-1 99999988888
-1 77776666
-1 5554444444444
-1 333333333222222222222
-1 1111000000000000
"0 H 999999999999998888
~0 77777666666666666
-0 555555555554444444444444
-0 33333333222222222222222222222
-0 11111111111111111
0 M 000000000000000000000000000011111111111111111111111
0 22222222222222222233333333333333333
0 4444444444444444444444444444555555555555555555555555555
0 666666666666666666677777777
0 H 8888888888888888889999999
1 0000000000111 111 11
1 2222222222233333333
1 4444444444445555
1 66777777777
1 88888999
2 00000111111
2 233
2 4555
2 6667
2 88999
3
3 22
***OUTSIDE VALUES***
3 333444589
4 2
5 3
6 46
14 6
-------
likely to be outliers. Recalculating the statistics for NMOCBAR and DI,
deleting Cases 77 and 356 from the data set results in the numbers given in
Table 4-15. The kurtosis number for DI in Table 4-15 is 3.608, a more
reasonable number. The standard deviation of the differences moves from
0.18376 for all the data points to 0.16664, considering two outliers in the
original set. This would give a percent coefficient of variation (ZCV) of
18.9Z for the mean NMOC measurement for repeated analyses for the entire
data set and a percent coefficient of variation of 17.1Z for the mean NMOC
measurement considering the maximum and minimum differences of the original
data set to be outliers. Because the presence of only 2 potential outliers
(out of 531) changes the ZCV about 1.8Z and the kurtosis from 11.0 to 3.6,
it could be argued that the two data points should be removed from the data
set. In the analysis that follows, however, Cases 77 and 356 of the
original data set were retained.
Precision of the repeated analyses may be characterised by either the
standard deviations of the differences, or the coefficient of variation
percentage. These numbers would be: (1) standard deviation " +, 0.184
ppmC, or (2) Z coefficient of variation ¦ 18.9Z.
An additional measure of precision may be calculated from the average
of the absolute magnitudes of the differences. Table 4-16 gives the
statistics for that calculation, showing an overall percent difference of
[(0.11896)/(0.97391)] x 100 which equals 12.2Z.
Table 4-13 and Figure 4-11 also indicate that the frequency distribu-
tion of the repeated difference data is approximately symmetrical about the
mean, median, and mode. Note also that the mean difference, DT - -0.00194,
is essentially zero.
Table 4-17 gives the statistics for the repeated analyses tabulated by
the channels pairs on which the repeated analyses were done. For example
the first data set shows results for ALPHA - 1.00 and BETA - 1.00, which
indicate that for 4 cases both the first analysis and the second analysis
was done on Channel A. The second data set indicates that the results are
for ALPHA " 1.00 and BETA ¦ 2.00, indicating that the first analysis was on
Radian Channel A and the second analysis was on Channel B.
4-42
-------
Table 4-15. Statistics for Repeated Analyses.
Two Possible Outliers Removed.
TOTAL OBSERVATIONS: 529
N OF CASES
MlNI MUM
MAX I f!UM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
NMOCBAR
529
0.08500
4.72000
4.63500
0.97212
0.48117
0.69367
0.03016
2.14510
6.31095
D I
529
-0.83000
0.66000
1.49000
-0.00272
0.02777
0.16664
0.00725
-0.70164
3.60832
4-43
-------
Table 4-16. Statistics for Repeated Analyses with
the Absolute Magnitude of NMOC Differences.
TOTAL OBSERVATIONS: 531
N OF CASES
MlNI HUM
MAX I MUM
RANGE
MEAN
VARIANCE
STANDARD OEV
STD. ERROR
SKEW MESS
KURTOSIS
NMOCBAR
531
0.08500
4.7 2000
4.63500
0.97391
0.48021
0.69297
0.03007
2.13691
6.29178
D I
531
0.
1 .46000
1 .46000
0. 11896
0.01959
0. 13998
0.00607
3.56047
21.69396
4-44
-------
Table 4-17. Statistics for Repeated Analyses, Tabulated by Instrument
Channel Pairs.
NMOCBAR
DI
Difference between Repeated Anayses. (NMOC1-NM0C2)
ALPHA
Channel of the
First
AnalysIs.
BETA
Channel of the
Second
Analys1s.
CHANNEL
IDENTIFICATION
1.000
Radian Channel
A
4.000 Radian Channel D
2.000
Radian Channel
B
5.000 EPA QAD Channel
3.000
Radian Channel
C
6.000 EPA ESRL Channel
THE FOLLOWING RESULTS ARE FOR:
ALPHA
1 .DO
BETA
1.00
TOTAL OBSERVATIONS:
4
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.47500
1.00000
0.66000
0.05395
0.23227
0.11614
-0.03000
0.06000
0.02000
0.00153
0.03916
0.01958
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 1.00
BETA - 2.00
TOTAL OBSERVATIONS: 2
NMOCBAR
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.40000
0.60500
0.50250
0.02101
0.14496
0.10250
DI
-0.06000
-0.01000
-0.03500
0.00125
0.03536
0.02500
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 1•00
BETA « 4.00
TOTAL OBSERVATIONS:
1
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
1
0.94500
0.94500
0.94500
0.
0.
0.
1
0.11000
0.11000
0.11000
0.
0.
0.
4-45
-------
Table 4-17 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA » 1.00
BETA « 5.00
TOTAL OBSERVATIONS: 28
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
28
0.33000
4.32000
1.07321
0.53947
0.73448
0.13880
28
-0.66000
0.09000
-0.14643
0.02872
0. 16947
0.03203
THE FOLLOWING RESULTS ARE FOR:
ALPHA ¦ J.00
BETA - 6.00
TOTAL OBSERVATIONS: 73
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
73
0.19000
4.17000
1.03582
0.69262
0.83224
0.09741
73
-1.OSOOO
0.64000
0.03082
0.04467
0.21136
0.02474
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 2.00
BETA * 1.00
TOTAL OBSERVATIONS: 3
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
3
0.62000
1.27500
0.99833
0.11501
0.33913
0.19580
-0.10000
0.05000
-0.02333
0.00563
0.07506
0.04333
THE FOLLOWING RESULTS ARE FOR:
ALPHA > 2.00
BETA ¦ 2.00
TOTAL OBSERVATIONS: 3
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.23500
1.05500
0.54000
0.20118
0.44853
0.25896
-0.09000
0.
-0.04667
0.00203
0.04509
0.02603
-------
Table 4-17 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 2.00
BETA - 3.00
TOTAL OBSERVATIONS: 1
NMOCBAR 01
N OF CASES 1 1
MINIMUM 1.81000 0.26000
MAXIMUM 1.81000 0.26000
MEAN 1.81000 0.26000
VARIANCE 0. 0.
STANDARD DEV 0. 0.
STD. ERROR 0. 0.
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 2.00
BETA » 5.00
TOTAL OBSERVATIONS: 26
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
26
0.20500
2.36500
0.90827
0.22770
0.47718
0.09358
26
-0.62000
0.19000
-0.19038
0.03700
0.19236
0.03773
THE FOLLOWING RESULTS ARE FOR:
ALPHA ¦ 2.00
BETA - 6.00
TOTAL OBSERVATIONS: 77
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
77
0.08500
4.72000
0.87468
0.54024
0.73501
0.08376
77
-0.60000
0.22000
0.03039
0.01449
0.12036
0.01372
THE FOLLOWING RESULTS ARE FOR:
ALPHA • 3.00
BETA • 1.00
TOTAL OBSERVATIONS: 2
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.79500
0.82000
0.80750
0.00031
0.01768
0.01250
-0.06000
0.05000
-0.00500
0.00605
0.07778
0.05500
4-47
-------
Table 4-17 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA « 3.00
BETA • 3.00
TOTAL OBSERVATIONS:
I
NMOCBAR
01
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
1
0.85500
0.85500
0.85500
0.
0.
0.
1
0.07000
0.07000
0.07000
0.
0.
0.
THE FOLLOWING RESULTS ARE FOR:
ALPHA ¦ 3.00
BETA « 4.00
TOTAL OBSERVATIONS: 5
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
5
0.52500
1.87000
1.07800
0.27824
0.52749
0.23590
-0.03000
0.27000
0.14400
0.01688
0.12992
0.05810
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 3.00
BETA « 5.00
TOTAL OBSERVATIONS:
36
NMOCBAR
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
36
0.21500
3.67000
0.92903
0.34556
0.58785
0.09797
DI
36
-0.83000
0.12000
-0.11972
0.02810
0.16763
0.02794
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 3.00
BETA > 6.00
TOTAL OBSERVATIONS: 102
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
102
0.17500
3.52500
0.85917
0.34438
0.58684
0.05811
102
-0.18000
0.66000
0.09402
0.01805
0.13434
0.01330
4-48
-------
Table 4-17. (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA « 4.00
BETA 2 2.00
TOTAL OBSERVATIONS:
1
NHOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
1
0.76500
0.76500
0.76500
0.
0.
0.
1
-0.09000
-0.09000
-0.09000
0.
0.
0.
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 4.00
BETA - 3.00
TOTAL OBSERVATIONS: 3
NHOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.39500
1.81000
0.97000
0.95322
0.74379
0.42943
-0.14000
0.03000
-0.04000
0.00790
0.08888
0.05132
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 4.00
BETA ¦ 4.00
TOTAL OBSERVATIONS: 2
NHOCBAR
DI
N OF CASES
MINIHUH
HAXIHUH
HEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.49000
0.93000
0.71000
0.09680
0.31I13
0.22000
-0.02000
-0.02000
-0.02000
0.00000
0.00000
0.00000
THE FOLLOWING RESULTS ARE FOR:
ALPHA « 4.00
BETA » 5.00
TOTAL OBSERVATIONS: 30
NMOCBAR
N OF CASES
MINIHUH
HAXIHUH
HEAN
VARIANCE
STANDARD DEV
STD. ERROR
30
0.25000
4.26000
1.04117
0.55849
0.74732
0.13644
DI
30
-0.61000
0.04000
-0.17567
0.02038
0.14277
0.02607
4-49
-------
Table 4-17 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 4.00
BETA * 6.00
TOTAL OBSERVATIONS:
84
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
84
0.09500
3.72000
0.90125
0.42S06
0.65196
0.07114
84
¦0.35000
1.46000
0.06774
0.03986
0. 19966
0.02178
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 5.00
BETA * 1.00
TOTAL OBSERVATIONS: 13
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
13
0.24500
3.05000
1.47731
0.52031
0.72133
0.20006
13
-0.18000
0.04000
-0.08385
0.0051 3
0.07159
0.01986
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 5.00
BETA - 2.00
TOTAL OBSERVATIONS:
12
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
12
0.22000
3.08000
1.47250
0.57703
0.75962
0.21928
12
¦0.24000
0.
-0.08167
0.00496
0.07043
0.02033
4-50
-------
Table 4-17 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 5.00
BETA * 3.00
TOTAL OBSERVATIONS:
11
NMOCBAR
01
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
1 1
0.22000
3.03000
1.44636
0.62836
0.79269
0.23901
11
-0.20000
0.06000
-0.05636
0.00537
0.07325
0.02209
THE FOLLOWING RESULTS ARE FOR:
ALPHA « 5.00
BETA - 4.00
TOTAL OBSERVATIONS:
11
NMOCBAR
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
11
0.22500
2.97000
1.43091
0.61018
0.78114
0.23552
11
-0.22000
0.06000
-0.02545
0.00557
0.07461
0.02250
4-51
-------
Table 4-18 summarizes certain statistics of Table 4-17 for the re-
peated analyses and adds values for percent difference (ZDIFF) and a
percent coefficient of variation (ZCV). Percent difference is defined as
and
ZDIFF - (MEAN Dl/MEAN NMOCBAR) x 100 (4-4)
ZCV - ((STANDARD DEV OF DI)/(MEAN NMOCBAR)) x 100 (4-5)
Pooled statistics belov the solid line are the weighted means of the
columns, and are estimates of the properly weighted averages for the data
set. For example:
Pooled NMOCBAR
N1 NMOCBAR} ~ N2 NM0CBAR2 + ... + Nn NMOCBARr
T
1 ~ Nj + ... + N,
(4-6)
Pooled H » I
i-1
531
(4-7)
Pooled Z DIFF
Hi ( ZDIFFi ))/(*1 »i)
(4-8)
Pooled SD,
DI
fl *1 * v2 «2 ~ ~ vn 8n
V1 + v2 + ... + vn
1/2
(4-9)
Pooled ZC? - (pooled SDDI/pooled HMOCBAR) x 100.
(4-10)
The numbers in Table 4-18 are statistics for the within-instrument
pairs. The standard deviation squared is the an estimate of the variance
for the within-instrument variability or error for a given instrument pair.
Within-instrument pair standard deviations range from 0.00Z to 21.2Z when
expressed in terms of a Z coefficient of variation for a given pair. A
pooled average error (or within-pair variability) is calculated to be 16.7Z
4-52
-------
Table 4-18. Summary Statistics for Repeated Analyses. Precision Estimates
Channel
N
NMOCBAR
DI
Percent
Difference
sddi
vb
Percent
CVc
A
A
4
0.6600
0.0200
3.03
0.03916
3
5.93
A
B
2
0.5025
-0.0350
-6.97
0.03536
1
7.04
A
D
1
0.9450
0.110C
11.6
-
-
-
A
E
28
1.0732
-0.1464
-13.6
0.16947
27
15.8
A
GC
73
1.0358
0.0308
2.79
0.21136
72
20.4
B
A
3
0.9983
-0.0233
-2.33
0.07506
2
7.52
B
B
3
0.5400
-0.0467
-8.65
0.04509
2
8.35
B
C
1
1.8100
0.2600
14.4
-
-
-
B
E
26
0.9083
-0.1904
-21.0
0.19236
25
21.2
B
GC
77
0.8747
0.0304
3.48
0.12036
76
13.8
C
A
2
0.8075
-0.005
-0.62
0.07778
1
9.62
C
C
1
0.8550
0.0700
8.19
-'
-
-
C
D
5
1.0780
0.1440
13.4
0.12992
4
12.1
C
E
36
0.9290
-0.1197
12.9
0.16763
35
18.0
C
GC
102
0.8592
0.0940
10.9
0.13434
101
15.6
D
B
1
0.7650
-0.090
11.8
-
-
-
D
C
3
0.9700
-0.0400
-4.12
0.08888
2
9.16
D
D
2
0.7100
-0.0200
-2.18
0.00000
1
0.00
D
E
30
1.0412
-0.1757
-16.9
0.14277
29
13.7
D
GC
84
0.9013
0.0677
7.51
0.19966
83
22.2
E
A
13
1.4773
-0.0839
-5.68
0.07159
12
4.85
E
B
12
1.4725
-0.0817
-5.55
0.07043
11
4.78
E
C
11
1.4464
-0.0564
-3.90
0.07325
10
5.06
E
D
11
1.4309
-0.0255
-1.78
0.07461
10
5.21
Pooled
531
0.9739
-0.00196
8.48d
0.1605
507
16.7
aPercent difference = (mean DI, Dl/mean NMOCBAR) x 100.
bv = N-l, degrees of freedom for the standard deviation of DI, SD^j.
""Percent CV - (standard deviation of Dl/mean NMOCBAR) x 100.
^Pooled mean difference of the absolute magnitude of percent difference for
each pair of channels.
4-53
-------
coefficient of variation. This is a measure of precision. A previous
measure of precision was calculated as 18.9Z CV from the data of Table
4-14. The latter figure is an overall precision which includes the between-
instrument pairs variability ("18.9Z CV) and the within-instrument pairs
(error for a given pair) variability ("16.7Z CV).
Table 4-18 also gives statistics for average percent difference of the
NMOC values determined from a pair of instruments. Percent differences of
NMOC determinations for a given pair of instruments range from -21.0% to
+14.4Z. A weighted average of the absolute magnitude of the difference is
8.48Z. It can be stated that the average percent difference of the NMOC
measurements for a pair of instruments tested in this study was about 8.5Z.
As noted above, the average percent difference of the NMOC measurements
including the between-pairs variability was about 12Z.
Table 4-19 again summarizes statistics from Table 4-17 for repeated
analyses for pairs of channels, adding 95% confidence intervals for each
data set and the t statistics necessary to test the hypothesis that the
population mean of each set of differences is zero. The second through the
sixth columns and the eighth and ninth columns of channel pairs 1 through
24 in Table 4-19 were taken directly from Table 4-17. Column 10 is the t
statistic testing the null hypothesis that the population mean difference
for a particular data set (channel pair involved in repeated analysis)
equals zero. Student's t statistic for the appropriate degrees of freedom
for a level of significance equal to 0.05 is given in column 11. If t is
greater than ^i-q/2, » then the null hypothesis is rejected. Note that
the null hypothesis is rejected for channel pairs No. 4, 9, 10, 14, 15, 19,
20, 21, 22 and 23 in the first group of data. Note also that in every
case, except for Channel Pair 24, involving EPA Channel E, the null hypo-
thesis is rejected, i.e., there is a mean difference significantly dif-
ferent from zero. In the case of pairs of channels involving EPA GC
channel the null hypotheses are rejected, except for Channel Pair No. 5.
For all the channel pairs involving two Radian Channels, the null hypo-
thesis was accepted, i.e., there was no significant difference between the
mean channel differences and zero. It is also to be noted that for the
channel pairs involving Radian channels, significantly fewer repeated
4-54
-------
4-55
-------
Table 4-19. Statistics for Repeated Analyses. Confidence Intervals
for Pairs and Groups of Channels
Chauel
fair
Cka
•Ml
nhocrar
Mean
01
¦
V
SO
SEE
t
ll-«/2,v
lo:
11*0.0
95 percwt C.I.
Alpha
Seta
Lower
Upper
I
A
A
0.6600
0.020
4
3
0.0392
0.0196
1.021
3.102
Accept
-0.0424
0.0024
2
A
a
0.5025
-0.035
2
1
0.0354
0.0250
-1.400
12.71
Accept
-0.353
0.2(3
3
A
D
0.9450
0.110
1
0
-
-
-
-
-
-
-
4
A
E
1.0732
-0.1464
20
27
0.1695
0.0320
-4.575
2.040
Reject
-0.212
-0.001
5
A
GC
1.C35S
0.0300
73
72
0.2114
0.0247
1.246
1.992
Accept
-0.010
0.000
6
a
A
0.9903
-0.0233
3
2
0.0751
0.0433
-0.530
4.303
Accept
-0.210
0.163
7
a
a
0.5400
-0.0467
3
2
0.0451
0.0260
-1.793
4.303
Accept
-0.159
0.065
>
a
c
i.aioo
0.260
1
0
-
-
-
-
-
-
-
9
a
E
0.9003
-0.1904
26
25
0.1924
0.0377
-5 046
2.060
Reject
-0.260
-0.113
10
a
GC
0.0747
0.0304
77
76
0.1204
0.0137
2.215
1.991
Reject
0.003
0.050
11
c
A
0.1075
-0.0050
2
1
0.0770
0.0550
-0.091
12.71
Accept
-0.704
0.694
12
c
C
0.0550
0.0700
1
0
-
-
-
-
-
-
-
13
c
0
1.0700
0.1440
5
4
0.1299
0.0501
2.470
2.776
Accept
-0.017
0.305
U
c
E
0.9290
-0.1197
36
35
0.1676
0.0279
-4.204
2.032
Reject
-0.176
-0.063
IS
c
GC
0.0592
0.0940
102
101
0.1343
0.0133
7.609
1.903
Reject
0.060
0.120
16
0
a
0.765
-0.090
1
0
-
-
-
-
-
-
-
17
0
c
0.9700
-0.0400
3
2
0.0009
0.0513
-0.779
4.303
Accept
-0.261
0.101
It
D
0
0.7100
-0.0200
2
1
0.0000
0.0000
-
12.71
-
0.020
0.020
19
D
K
1.0412
-0.1757
30
29
0.1420
0.0261
-6.730
2.045
Reject
-0.229
-0.1223
20
0
GC
0.9013
0.0677
S4
•3
0.1997
0.0210
3.110
1.989
Reject
0.024
0.111
21
E
A
1.4773
-0.0039
13
12
0.071S9
0.0199
-4.222
2.179
Beject
-0.127
-0.041
22
K
a
1.4725
-0.0017
12
11
0.0704
0.0203
-4.017
2.201
Reject
-0.127
-0.037
23
E
c
1.4464
-0.0564
11
10
0.0733
0.0221
-2.551
2.220
Reject
-0.106
-0.007
24
1
a
1.4309
-0.0255
11
10
0.0746
0.0225
-1.131
2.220
Accept
-0.076
0.0247
(continued)
-------
Table 4-19. Continued
Channel Ckygel ^ fc; 95 percent C.I.
Pair Alpha Beta MNOCBAR DI H v SO SB t li-o/2 v f^ O Lover Upper
25
A.B.C.E
A
1.2025
-0.0496
22
18
0.0681
0.0145
-3.421
2.101
Bejectt
-0.0800
-0.0191
26
a.b.d.e
B
1.1700
-0.0711
17
14
0.0654
0.0159
-4.472
2.145
Reject
-0.1052
-0.0370
27
b.o.e
C
1.3443
-0.0529
14
12
0.0761
0.0203
-2.606
2.179
Reject
-0.0971
-0.0007
20
C.D.E
D
1.2528
0.0229
18
15
0.0906
0.0214
1.042
2.131
Accept
-0.0233
0.0679
29
A.B.C.O
E
0.9062
-0.1552
120
116
0.1600
0.0153
-10.14
1.982
Reject
-0.1855
-0.1249
-
A,B,C,D
GC
0.9116
0.0591
336
332
0.1687
0.0092
6.42
1.964
Reject
0.0410
0.0772
30
A
A.B.D.E.GC
1.021
-0.0160
100
107
0.2006
0.0200
-0.80
1.983
Accept
-0.0557
0.0237
31
B
*»B«C,1,0C
0.8053
-0.0233
110
109
0.1679
0.0160
-1.46
1.983
Accept
-0.0550
0.0084
32
C
A.C.D.E.flC
0.8832
0.0415
146
145
0.1693
0.0140
2.964
1.978
Reject
0.0138
0.0692
33
D
B,C,D,E,6C
0.9336
0.0014
120
119
0.2099
0.0192
0.073
1.982
Accept
-0.0367
0.0395
34
E
A,B,C,D
1.4500
-0.0632
47
46
0.0739
0.0100
-5.85
2.013
Reject
-0.0849
-0.0415
Alpha Channel for firat analyaia.
Beta Chanel for auhaequeat analyaia.
¦IOCIAI Mean MNOC for repeated analyaia = (MM0C1 ~ WOC2)/2.
DI Difference of repeated aaalysea = IM0C1 - M0C2.
DI Mean dif fcreace of aeveral repeated aaalyaea.
¦ Banker of repeated aaalyaea.
SO StBadard deviation of BNOC differencea.
SO Staadard error of eatiaate = SD/^fl
t. Student'* t atatiatic (2-tailed) for level of aignificance « (« 0.05 in thia coapariaon),
and degreea of freedon V (= B-l).
t The t atatiatic = N/(8D//N) teatlag the hypatheaia (la: |U. « 0.0).
If t > t(_^j y, the* reject the hypotheaia that the mm difference ia aero.
C.I. Confidence interval.
Channel! A,B,C,D Radian chaanela.
Channel E EPA ()AD channel.
Channel GC EPA ESRL channel.
-------
analyses were accomplished. This reduces the robustness of the comparisons
involving the Radian channels. In any similar future study it is recom-
mended that the number of repeats for any channel pair be more nearly
balanced than was accomplished in the present study. The Quality Assurance
Project Flan for the present study called for the repeated analyses to be
selected on a random basis, which resulted in the unbalanced design.
These results are presented in an equivalent way in the last two
columns in Table 4-19, in which the 95Z confidence intervals for the mean
differences are tabulated. Note that for those cases in which the null
hypothesis is accepted, the upper and lower limits on the 95Z confidence
interval span zero. On the other hand, where the null hypothesis is
rejected, the upper and lower limits on the confidence interval do not span
zero.
Channel "pairs" 25 through 29 combine all the pairs for which a second
analysis was done on a particular channel* Likewise channel "pairs" 30
through 34 combine all the pairs for which the first analysis was done on a
particular channel. For example for channel "Pair" No. 25, all the data
were pooled for those pairs in which the second analysis was done on
Channel A. Conversely, all those cases in which the first analysis was
done on Channel A were pooled and are presented as Channel "Pair" No. 30.
Similar statistics as described above are presented which compares the mean
differences with zero for all the groups of data in which one of the
channels was the channel of the first analysis. For only two channel pairs
(No. 32 and No. 34) did the data justify the conclusion that the mean
difference was significantly different from zero.
Figures 4-12 and 4-13 display these relationships graphically, and in
addition show how one channel compares (approximately) to another. It is
reasonably clear in Figure 4-12 that Channel A, B, and C produce differ-
ences with other channels that are quite similar and that Channels E and GC
are quite different from each other and from Channels A, B, and C in the
mean differences produced with other channels. Channel E results are
significantly less than those of the other channels, while Channel GC is
greater than A, B, C, or E.
4-58
-------
o.io H
o
E 0.05
a
a
fk
«
A,
B,
C,
D
GC
C,
D r
E
0.0
e
<
o
o
• -0.06
a
a
*¦
o
• -0.10
o
e
A,
Bf.
C,
E
A,
B,
0,
E
¦l
0
E
B
. -0.15 H
-0.20 H
NOTE: Letters to the left of the vertical
lines signify the channels on which the
first analysis was done. The letters to
the right give the channel for the second
analysis. The heavy central line gives the
mean difference, DI, for each group of
comparisons. The vertical lines span the
95% confidence interval.
A,
B,
c,1
D
Figure 4-12. Comparisons of Repeated Analyses, Grouped by
the Channel of the Second Analysis.
-------
0.10 -
>»
<
V 0.05 -
OB
5 o.o
•
o
e
•
5 -0.06 -
A,
C,
0.
E,
QC
D,
E.
QC
A,
B,
¦S:
QC
S:
.0,
E,
QC
S;
c,
D
-0.10 -
NOTE: Letters to the left of the vertical lines signify the Channels
on which the first analysis was made. The letters to the right give
the channel for subsequent analyses. The heavy central line on each
vertical line gives the mean difference DI for each group of comparisons.
The vertical lines span the 95Z confidence Interval.
Figure 4-13. Comparisons of Repeated Analyses Grouped by the
Channel of the First Analysis.
4-60
-------
Channel D, on the other hand seems to bridge the difference between
Channel C (and A and B) and Channel GC. At the 5 percent level of signifi-
cance, however there is a significant difference in the mean between the
results from Channel C and Channel D.
Figures 4-13 shows similar, but not identical comparisons. The
results for Channel E are again less than the other Radian Channels A, B,
C, or D. Channels A, B, and D are indistinguishable. Testing the hypo-
thesis that the mean of Channel C equals the mean of Channel D leads to the
conclusion that they are equal, even though the mean of Channel C is tested
in Table 4-19 to be different from zero, while the mean of Channel D is
tasted equal to zero.
All the tests involving the repeated analyses (Figures 4-12, Figure
and Table 4-19) are approximate because none of the comparisons is
perfectly balanced. In Figure 4-12 comparing the results for Channel A and
Channel B (tee also Channel Pairs 25 and 26 in Table 4-19) shows that in
the first case, first analyses were on Channels A, B, C, and E, while for
Channel B (Channel "Pair" 26 in Table 4-19), the first analyses were on
Channels A, B, D, and E. The differences between the comparisons, however,
are small and should have negligible effect on the results.
For the cases in which the first analysis was on a Radian channel,
there appears to be little difference between the means of the differences
of the repeated analyses, and the means of the differences are not sigini-
ficantly different from zero with the exception of Channel C. Comparing
the differences among the channels when the second analysis was done on a
Radian channel indicates there to be a negligible differences between the
channels except for Channel D. These results indicate that the comparisons
were not sensitive to differences because the number of comparisons were
not sufficient balanced, i.e., the same number of comparisons with each
channel pair.
The repeated analyses showed Channels E and Channel GC to be signifi-
cantly different from the Radian Channels.
Figure 4-14 and Table 4-20 test relationship between the mean NMOC for
repeated analyses and the differences for a given channel pair. Figure
plots DI on the ordinate and NMOC BAR on the abscissa for each channel
4-61
-------
Figure 4-14. Differences of Repeated Analyses as a
Function of Mean NMOC.
THE FOLLOWING RESULTS ARE FOR:
ALPHA = 1.00
BETA * 1.00
01
.400 .600
.080 +
.060 ~
.040 +
.800
1 .000
1 . 200
.020 +
.000 +
t
I
-.020 ~
-.040 +
.400
.600
NMOCBAR
.800
1.000
4 .
•- + -
1 . 200
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 1.00
BETA ¦ 2.00
01
.400 .450
-~
.000 +
.950
-.030
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 1.00
BETA • 5.00
01
.000 1.000
- -
.200 ~
.500
NHOCBAR
2.000
550
.600
3.000
4.000
5.000
.000
-.200
-.400
-.600
-.800
-1.000 ~
1
1 11
112121
2 1
1 1
1 1
1
2 1
4-62
------—-
-------
Figure 4-14 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA * 1.00
BETA • 6.00
01
.000 1.000
+
1.000 ~
2.000
3.000
4.000
5.000
.300 ~
I
.000 ~
-.500 ~
-1.000 ~
-1.500 ~
12 1 1111
1 2263555 1 1 1 1 131 1 1
2 5 2 111 1 1
1 2
1
>2.000 4
.000
1.000
2.000
NNOCBAR
THE FOLLOWING RESULTS ARE FOR;
ALPHA - 2.00
BETA • 1.00
01
.600 .800
------
.100 +
3.000
1.000
4.000
1.200
5.000
1.400
¦- + -
.090 +
t
.000 +
I
I
-.050 ~
-.100 ~ 1
I
-.150 +
-.200 ~
- +¦
.600
.800 1.000
NHOCBAR
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 2.00
BETA • 2.00
D!
.200 .400
+
.000 ~ 1
.600
.800
1.200
1.000
1.400
1.200
-.020 ~
I
I
-.040 +
I
-.060 ~
<
-.080 +
-.100 ~
-.120 ~
.200
.400 .600 .800
NHOCBAR 4-63
1.000
1.200
-------
Figure
4-
14 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA = 2.00
BETA * 5.00
DI
.000 -500
-~ — *
. 200 ~
1 .000
I .500
2.000
2 . 500
.000
-.200
-.400
-.600
111 11
1 1 1
1 111
1 1 12
I
I 1 1
-.800
-1.000 ~
.000
.900
THE FOLLOWING RESULTS ARE FOR:
ALPHA » 2.00
BETA • 6.00
01
.000 1.000
- + +
. 400 ~
.200
.000
-.200
-.400
1
1 1
1261 21 121
12 3447 32 11
1 911 11
1 1 1
1
1
1 .000
NMOCBAR
2.000
1
111 1
1
1.900
3.000
2.000
4.000
~
2.500
5.000
+
-.600
-.800 ~
¦ +
.000
1.000
THE FOLLOWING RESULTS ARE FOR:
ALPHA • 3.00
BETA - 1.00
01
.790 .795
-~ ~
.060 ~
.040
.020
.000
-.020
-.040
.060 +
.790
2.000
NMOCBAR
.800
3.000
1
.809
.810
4.000
.799
.800
NMOCBAR
.809
4—64
.810
.819
.819
~
*-+-
5.000
.820
~-
~
1*
.820
-------
Figure 4-14 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA « 3.00
BETA • 4.00
or
.500 1.000
.300 +
.200 ~
. 100 +
.000 ~
-.100 ~
1
1 .500
2.000
2.500
¦ -+-
.500
1.000 1•
NMOCBAR
THE FOLLOWING RESULTS ARE FOR:
ALPHA ¦ 3.00
BETA ¦ 5.00
01
.000 1.000 2.000
—
.200 f
1 1
1 11 1
1 22 1 1
1 1 2 21 II 1 1
.000
-.200
-.400
11
1
1
11
2.000
3.000
2.500
4.000
¦- + -
.600
.800
-1.000 +
.000
1.000 2.000
NMOCBAR
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 3.00
BETA ¦ 6.00
DI
.000 1.000 2.000
.800 ~
3.000
~
4.000
3.000
4.000
~
• 600 ~
*
.400 + 1 1
.200
.000
-.200
11
I 1
II 11
I 12 1 211
112111412 2
31 46213511121
2122 2122 11
2
II 1
11
1
-.400 ~
.000
1.000 2.000
NMOCBAR
3.000
~
4.000
-------
Figure 4-14 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ALPHA « 4.00
BETA « 3.00
01
.000 .500
-~ ~
.050 ~
.000
1 .000
1 .500
2.000
-.050
-. 100
150
- +
.000
.500 1.000
NHOCBAR
1.500
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 4.00
BETA • 4.00
01
.400 .500
- +
.010 +
.000
.•00
-.010
-.020
-.030
.040
-.050 ~
.500
THE FOLLOWING RESULTS ARE TOR:
ALPHA - 4.00
BETA « 5.00
DI
.000 1.000
- ~
.200 ~
.600 .700
NNOCBAR
.800
.900
.900
2.000
3.000
4.000
.000
-.200
-.400
1
1
221 1 1 1 1
1 112 1 1
1 1
2 1
2.000
5.000
.600
.800
-1.000 ~
.000
1.000
2.000
NHOCBAR
3.000
6
4.000
~
5.000
-------
Figure 4-14 (cont.)
THE FOLLOWING RESULTS ARE FOR:
01
ALPHA
BETA
.000
4.00
6.00
t .000
2.000
3.000
4.000
1.900
~
•
i
~
1.000
»
~
1
+
.900
~
1
1
1
4
;
i i
!
14 1 2 1 211 1 2 1
11
:
: l
129144 41111 1 1 1
1
.000
4
1341232214 1
,
~
t
1 11 1
«
<
•
t
1 1
•
-.900
•
4
«
t
<
4
•
•
•
.000
1.000 2.000
NHOCBAR
THE FOLLOWING RESULTS ARC FOR:
01
ALPHA
BETA
9.00
t.00
.000
-*
.090 ~
.000 *
I
• -
.090 ~
I
I
•
. 100 ~
.190 ~
t
I
I
.200 ~
1.000
¦-+
2.000
I
II
1 1
.290 ~
.000
1.000 2.000
NHOCBAR
1.000
THE FOLLOWING RESULTS ARE FOR:
ALPHA ¦ 9.00
BETA - 2.00
01
.000
------------
• 090 +
»
.000 + 1
: t
-.050 i
«
-.100 ~
t
-.190 ~
I
«
-.200 +
2.000
1 1
.290 +
------
.000
1.000 2.000
NHOCBAR
4-67
3.000
4.000
3.000
4.000
3.000
¦ -+-
4.000
3.000
4.000
¦ -+-
3.000
4.000
-------
Figure 4-14 (cont.)
NMOCBAR
THE rOLLOWINC RESULTS ARE TOR:
ALPHA - 5.00
BETA - 3.00
01
. 000 1. 000
-~
.too ~
.000
2.000
3.000
100
-.200
-.300
NNOCBAR
THE FOLLOWING RESULTS ARE FOR:
ALPHA - 9.00
BETA - 4.00
01
.000 .500
~---
. 100 ~
1.000
1.900
2.000
2.900
3.000
~
.000 ~
1 ~
100 ~
-.200 ~
-.300 ~
.000
3.000
.900
1.000
NMOCBAR
1.500
2.000
2.500
4-68
-------
Table 4-20. Differences of Repeated Analyses as a Function of Mean NMOC
MritK.1 « M >• * « t.tmncf'Af .
mi rni i (iu11jr. kshi if Ar-:C Ffii-i
Ml f'ltf: ¦ J.'"'
Ill Hi « 1 . ' " '
Nunrithi or cash- ffoccsscpi a
DEF-ruriEIJI VAIInN F ME AM i < i. t»;-c Km >
MHIUFLF COt-Ftl AT 101JI .BO«>
srniAf * • N-1 > T>F . WHFkl H* 4. A"" W* •*71'
WI6M F CnFFFIClFNT SH>. F FfROF' Silt. COEF. TOl EPANTE 1 F '* TAl1 *
I A"
CONSTANT ..i.i^.cr i * <"'• • ' ' "J "to4
MMOrhAP- 0. \ i"i.o70!i2 0.00628 I. OOOOO 1 .?-•
ANAI YSIf C>r VAFilANCF
SOMFrCI SI MI-OF- SOI "APES T>r MEAN 50UARF F -PATIO f
FFf.f.f Si-Jiill ii.Tn'ifW I ".'«i:« ".?! H.74 •'«' ¦ >.i.i»1111 i..mi'h.ii
V69
-------
Table 4-20 (cone.)
ihi rciiowiN'- fTS-"i t Ar-r rfih:
I u.. .'
in j ) T>F. wnrr-f n«- ami- k • /4r
vAr-iAMr cocfi iciemt su>. error stu. rntr. toifranc e i nr ™' 1
< ONM Mill - | ... 1" 'J'!"'
¦NMOCF'AF • >. n7:T*'. "i.opiiiQ". ii. t i.nuo"" . fl"* • ~fi 1
AtJAI VSIfr Of '-'AR 1 Al-ir F
snitr rr sum-of sm iarfs of mf an -souarf f -rat io f-
RFf.j--tsF.iriu ii. i i «•>. i•:¦«»•> i .7<;•*. . z& 1
RESIDUAL '' 74 l l. 1
IHT FCH LOI'UNI- Rrsui Tf. ARC F(IT.:
HI F 'It ¦ v Z .""
rnA » t.'"'
Mi Ifll iF'K Of 'ASfV F P(irr!: ?.rPi
MF trnv.rwi '.'»!• !W:| I MEF'iff. ' >.
MMIllFlf I IIPI El i-iT lOUr .1*4
SOil^RFP ML'l Tlfl IT TORRE I ATI ON: .0??
"1
ftl'-il 1ST Mi F. » I « 1 -R > » (II-I >/DF. WHCRE 11» 77. AT IP r>F» 7?,! .>i)4
VAFIAMT coffficteni stp. error sm. coet. toi eraijce t F'-.. ml.
CPNf.lANT 1*1. I'M IA.J:*". I I. 021 Tf. >"i. . . 74Ji
NttOCfcAR ii. n-hi- ] O.41863 ".164T-4 1. OOOOO 1.44 .If."
AIJAI VSJS OF VARIANCE
SOMFrCE 51IM-0F SOUAFE"^ DF ME AN-SOU AFC F-RATIO F
REi
-------
Table 4-20 (cont.)
11. • l i • ii i..i ; t f:
..int.. -
I If 1.'. r
nnid.il Hi i f-u: t ?,rri'i
f>FM Nr.rui vAf if.ni r mcani
Mill I li t f CCtf-M I M H».n i >/fir. wiitfct u» aiu< pt» it
4.'«f 1 (\U, F rnFFr ir\f NT SID. fRROf- STt". CdEr . Tut pn-ANCE 1 r<7 TAJ I I
rdUMnNI I'l.Of.'tP? O. - 4. t>f* . 1
NfH irfiAl-- ••i.rir.TP 0.0749P I ..Xi.y.,. 4. "J9 .14-
AI4AI VMS Of VAPlANi'C
SOlir-CE SUM-OF-PPHAFCS Dr MTAN-SOUAf-E F-RAT Id F
RFI.fctS&ION | .....lull 19.2~B . 14~.
RESITHW 'i.tVioS* 1 O.r**#*. 1
THE FOLI OW1MR RES" M Tf> ARF rOF4 :•
st'i u.PEr. n- it t j f- i.c co*r h • I - < J -(¦ > * tU- 1 » T»F, Wl IFRE N«- ~. ANH PF« It .. coff. tolerance t p.c«.r.f.4 <1. ¦
hmochat o.siPf) ii. t >< »¦>•:> i j o-fiocw) _ .ore
RFMMIAI O.tV.Jiifc " 'j" 1*1. nrii-'it-" " * * *
4-71
-------
Table 4-20 (cont.)
Ill' I t i. I (k; J U;. M .1 1 * I i
Hi
w. *
I <• << II i • '»!•». I
2,6
r>n n4r>c.r;i v^haiit mi an: — iit7:-
miii i in t cokf-ri ai inn:
"•".C'tlAREM Mill T IF L.E CORRCI ATIONi .
Mii.nic.it r> r • i < i--F- >»(N-11 • i'i . witFRr n« "... ANr< nr» -.4: .ooo
variahi e rnrrriciCNT stu. error std. coet. tolerance
r riH'-.ii-.ui
Nfior b&r-
• >. i
O. 0061 1
i i. H4889
<">.01J4:% 1. 'X'0"0
-r. "4
. ir
n:' tail'
• 9'.» 1
ANAI VMS or 'OAF-1 ANr r
source si ih- of - r.ni iap-cs pr mcan-soi iart f-ratio
. 01 A>
REr.RES?-iriN
hbSlDHAl
ii.iii)i i4r,
1
~4
u. 0
Nl iMf:EF OF frtJ.rS RRfir.E4.SF I>s 1 EFEi4i»rnT varjawf' mean: ii.oq4m:
Mt li T 11 1 E f nRRfcl A I lOIJ: .W.-
S.fiilAREl"' MUITJRLE CflRREi AT ION: . Tf."
fel'-llic. 1Fi> F> » l-'l-R i»«N-l) PF. WHEr: . ANl' Of- HXn . ~44
VAPIARtF COEFFICIENT STD. ERROR STr. COEr. TOl.ERANCF
CCM4S-1AN1
NMCCHmR
- *V.*ti
0. 17f.4£<
O. i.i 1847-
o. 591 er i. 0"':>'X>
-1.17
7.34
F 1.7 TAIL >
. ZAt-
. *> »•">
ANAI VSIP OF VARIANCE
SOURCF SUH-0F SPIJARCS DF MF.AN-SOUARE F-RAT 10
REGRESSION
RE 5I DUAl
1 . 1844'
1
1 <>1
0.6T.B4?.
.01) 84
•-T-. 9<.'>S
F
. 0'X>
4-74
-------
Table 4-20 (cont.)
lilt mm I fiu:)Ui- Mviiii'. »_r t Mil ¦ »
1.1 Ml.. ".I" •
HI*, *¦ 1 .«>"
in >i it if j- fir rf F CUI'E N I WIAM f nr.AMI . I
Mill I HI I MiRREl UTIC'Nl
s-'1! IARC1' Mill 1 I ME COfiRtl AT I ONI l.'>iO
rnrrr iirjrm sin. emvc* Sin. rorf. TOitf.ANtF. i r <: t.mi >
TflN-SThNT ?.54B'i.i r.CMM.iOO O. t.?v 1.'"'|"
NMtifRAF - 4. 4iM>'i'< "'i. i
Wlfi « 4.0*
MUMPER Or CASES FROCFfj&CI.'i ;•
I'f »CMlil N1 V«KIAFi| t Ml nil! O.I44«X'
ttUMUlE CORRELATION! .547
11 nn( iifi f r.nt-M t ,.i mm . :>«'<
Ah-mwEr. f.- «• j i] f.- i».|j. j > . r»r. wmerf n** Aur> r>F» ?i .<•#."
r COEFFICIFNT STP. ERROf.' STl>. C.OEX. TOI FRANf E 1 T^I( '
rnusiAui -• i. <»«.:¦* I..I4--I4R •**''
NMiirtiAd o.i"?c
-------
Table 4-20 (cont.)
lie < III I III-: 11|.. I I ' .1H I . • • I 11 :
hllH.. ¦ 1 . ' '•
tiM».
N> nr c A!>F- 5? F F-On. c'.'-t -<>
M l[ NI4 111 Vnl'lhM I MF* AIJl I"
Mill l IF'lf CORRFI.ATJ ON! .J-.'
&fiii,ii-r r> ri'n 7im f r rir-r fi #.i irirai ."i
aii.hi&tf r> r- - i - < i -r i»«n 11 t>f. wiiFPf n* ~<>, ani> t>F« ::bt .ivm
v/AFiiafm t cnrrp iriPNT std. err or. stp. rorF. toi.erance i f <: taji
rOM'jIAMT -O.--OI .vi .71 .4to-.
ANAI YSIS OF VAR1 ANC f
SOI t^-r r SI 111-OP -SC'I 'ARE - DF ME AN SOI l*RE" F -RAT 10 F
RF PF •
Hi 'MHF-.R OF CASES PPOl FFSt I't 84
tiEFtWDENT VARJAMF HE At J i o.O<.774
111II 7 1F i F CORV-Et AUfiUs . T-7&
Sfi KiF;Et' Ml U 7 I F'L E COkRElATION: .14:
ADJUSTED R * i - i J HiN-1 i /r>F. WHERE N>- 64. AMP pr» en . »Ti
variable coefficient stp. error stp. coef. tolerance t ft tah i
CONST Al 11 -.1.11-!,.'.! I"i"4"f. I I. 1 . Of.
NMOCFiAF 0.031T-1 O. 7-"*76^ 1. ( Il l' It'll I 3.6^ . I f II I
ANAI YEIS OF VARIANCE
SOUPCF SHM-OF-squares pr MEAN-SQUARE f-ratio f-
REGRESSION n.47|V} ] 0.4~1PQ lj.644 .<"iCiO
RE:<«I Dl IAI 2. P"".fc+5? 'j. OT-4T>c
4-76
-------
Table 4-20 (cont.)
1 HI FTHlOwlNf. fct<.illl<- f,f-t Ff.»-:
I.I I H„ • 4.1
Fir l
IJIIIIItfF- Tir ( F'FTirf cic«t.I• J
rCr rNMtNT VAP1AIH E MFAN: "4' H >"
Mill liri F- CCIKRFl M I OH I . "V. if.
E>('HAhE.r> MUtTIF'l.f COfr-fl AI TON: .811
Al'ltlbltf P • 1 -¦ < 1 -f.: it (II D/DF. WHCKf N" V At'IT' 11
v«r iAF. frphp stp. corr. TcuEfcANrc t f<- tail*
| 1• 4*^
rnNSTAIM «i. ft. -WB7 "• ,4 .-7f<
am g i'a J 111 H H ^ A • 1 *
NMOCHAr -<>. jeer"1 11. ¦(".'!?<> *•-¦
ANAI V&1S C*F •.'Af-IANCt
SOURCE &l«1-nF-S0llAftf«. 1>F MFAN- SPHAIVF F -RAItO P
RFf.prs>=.iciN o.ui:^ i «>.>>ii<;^ 4.*fw. • - p
KFsiniiAi o.o'^s: i '-£r-
Tt-tt. FOl.lOWlHh PERMITS APE FPPl
Al PHA * 4.'i"
F
NHMfifcp OF C.A5ES. PPCUFSSFI.:
DEPENDENT VAFJAM.F MEANi -0.02-
Mill 1 lf'l.E COPPEI AT ION I I . ft'""'
SOUAKED Mill TIME CORREI ATIONi 1.¦><0
VARIAtU E COEFFICIE1J1 STt>. EftPM-: STri. COEF. TOI EPANC fc T" F . T«H
_ -.mi j.
CONSTANT -O.Or - - ' "• . I
Ni-iui i1Mf. ft.no.VM-. ...oW-B" 1 •'
4-75
-------
Table 4-20 (cont.)
lilt I Hi I OW1N.- I f '-II 1". (<< i F F" !
1,1 lilt. -
wi».
NUMiiti- fi r «sr :• f m>' f i•!
Firf-ruiCNi vaf-iam r m hm-
Mill TIM r L'riRRFI Al li'lls
&(>u«f-Fr. Mm 11f-i f cnr,r ri ation:
Al'.H ISTF.I' R « J '1-R i»
rnnstAtn ".row? •:». o--p?4 «>. . . ?4
NMOCF«AR -II. II.I"C<74 - it.t>Z?Z2 1 .On fitm> -r.4t<
AMAI VP 15 OF VAr iAfK T
SOURCE SIIM-OF-SPHARES Pr ME At l-SPl IAR[ F-RAT10 p
REfiRTSS.TCM4 i >.< >D7® 1 r».rci7' >
UHMl'tR fiF CASES- F-K'fil f SirP: 11
DEPENDENT VARIAW F MEANi -n.'OMr.
MM1 TTFl E C/iRF . ?..'4
bOiiAREI' Mill TIF I F f ORRf I AT I ON > .!<>?•
Ap.HIS.ini R » 1-il-P i ~ (N- 1 > .T»F . WHERE N" 11. AMI' TiF * f'l .OH".
VAPIAPIE COEFFICIFNT STD. EPPOR STD. COEF. TOLERANCE T F <: 1A1L i
CONSTANT
-------
Table 4-20 (cont.)
1 HI rt»•«
M f II. * ' • •»
ItFlf. » I .<"¦
Hi II lull fit WiM-t-. F'l-'l <1 r !-Sf In '•
pi:rKNutNi v«»(-iawf nfwn -¦.•.wt.b*.
mhi i in r ccifif'f i ni inus .«*'•
SCMIftREI' Mill TIKE CORFU ATlONf . i'4^
mI/IIIRICP h m l-M-ft . »(N l>.nr. WUkk U* AN" "* ' 11 ! ¦17-"
VAFIAnif COFFFJCJFN1 STP. FPFTIF ETD. COFF. TOI EhANCE t. t-C tAJI >
nij'-iAin -ii.oih' •>. • ^'EI 'Zl'i
Nl HIT Kftr -0.04«0I L.CCfc'ir "O.MtZft, -I.P8
AlUil VS JS OF VAPIAN' P
SruiPCf Sllfl~OF-SP"ARE& DF IVAN-SO'tARC F-PATIO f
WGW.&t.iriw ii. o>¦.¦•»> i u.-*.?t4e .«.»w
f4£.V'i i t o. <>:<4?-.
T Hf FOLI OH IN'. RCS»I.15 AFP FOFj
Al TkW, * '-.'i"
M.TA ¦
WIHIHEP fif IAS.F?. PROCESSED
T'FF r MI1F MI VAF-: 1 AM F MC AM t . OB I
HIM T J PIE COPFFI ATlONs .
SOMAPEr. Mill T!Pi.E C0F;hELAT10M» .48".
AJ/HIS7FI. f. m l-.t-P i » < W-1 • ''PF. WHERE N» S-'. ANI' PF» »¦'»« -4^4
VAt'IAPLE COFFFICIENT STP. FfiROF' STIi. COEF. TfJI.ERANCE
INSTANT
NMOCBAP
PC? TAII i
CONST AWT T44 ¦>. . „„,w, -3*. 07 .0>?
-0.06459 0.0?1<->4 -0.**e>-® '• ¦ ¦'¦¦¦
ANA) VPJS Cff VARIANCE
SOI IPCF SIW-0F-9PIIARFF PF MF AN - SOI lAKf F-PAT 10 F
PFRPE&Mnu • I O.01'fr49 .012
RFsiPUAi o.osiw i •¦> o.
4-77
-------
Table 4-21. Summary Statistic* for Linear Regression, DI Versus NMOCBAR
Case
Alpha
Beta
Multiple
Correlation
AM0VA
F-Ratio
N
a
b
1
1.00
1.00
0.806
3.716
4
-0.0697
0.1359
2
1.00
2.00
1.000
-
2
-0.1576
0.2439
3
1.00
5.00
0.188
0.951
28
0.0274
0.7481
4
1.00
6.00
0.233
4.09
73
-0.0306
0.0593
5
2.00
1.00
0.975
19.238
3
-0.2388
0.2158
6
2.00
2.00
0.042
0.002
3
-0.0490
0.0042
7
2.00
5.00
0.179
0.796
26
-0.2560
0.0723
8
2.00
6.00
0.164
2.082
77
0.0069
0.0269
9
3.00
1.00
1.000
-
2
3.5480
4.4400
10
3.00
4.00
0.543
1.256
5
-0.0003
0.1338
11
3.00
5.00
0.021
0.016
36
-0.1254
0.0061
12
3.00
6.00
0.592
53.905
102
-0.0224
0.1355
13
4.00
3.00
0.906
4.586
3
0.0650
-0.1083
14
4.00
4.00
1.000
—
2
-0.0200
0.0000
15
4.00
5.00
0.132
0.497
30
0.01032
0.5808
16
4.00
6.00
0.378
13.644
84
-0.0365
0.1157
17
6.00
1.00
0.494
3.546
13
-0.01145
-0.0490
18
6.00
2.00
0.697
9.426
12
0.0134
-0.0646
19
6.00
3.00
0.637
6.156
11
0.0288
-0.0589
20
6.00
4.00
0.324
1.054
11
0.0188
-0.0309
Aloha/Beta
1.00
Radian A
2.00
Radian B
3.00
Radian C
4.00
Radian D
5.00
EPA QAD E
6.00
EPA ESRL GC
Model: DI - a ~ b* (NMOCBAR)
4-80
-------
pair. ALPHA - 1.00 and BETA - 1.00 signifies that the first analysis was
done on Channel A and the second analysis on Channel A. The data in Table
4-20 give the results of a linear regression between DI and NMOCBAR. Table
4-21 suHurises the data of Table 4-20 for the linear regression. Table
4-21, in addition to specifying the channels of the repeated analyses give
the correlation coefficient R and the F-Ratio in the analysis of variance
for the regression. II is the nuabar of data points for each case. The
last two coluans in the table, a and b are the intercept and slope respec-
tively in the linear aodel tested:
DI - a ~ b * HMOCBAR.
Discounting those cases having nuabers of data points less than four, the
aultiple correlation coefficient (R) ranges tram 0*021 to 0.806 vith five
cases out of 14 having R >0.500. Hote that the first 16 cases had a
positive slope (vith the exception of Cases 9 and 13) and the last 4 had a
negative slope. While this analysis shows only a weak relationship between
DI and ffifOCBAR, the results suggest that the potential relationship should
be investigated further. The analysis which follows in Section 4.2.3.2
suggests that there aay be a relationship between the difference of re-
peated analyses which is southing other than randoa.
If Table 4-18 is reexaained for the data in which both analyses were
performed on the same channel, the following suaaary aay be seen:
Table 4-22. Repeated Analyses on the Sane Channel
ALPHA
BETA
I
NM0CBAR
DI
ZD IFF
8D
ZCV
A
A
4
0.6600
0.020
3.03
0.0392
5.94
B
B
3
0.5400
-0.0467
-8.65
0.0451
8.35
C
C
1
0.8500
0.0700
8.24
-
-
D
D
2
0.7100
-0.0200
-2.82
0.000
0.00
Pooled
10
0.6530
-0.0030
5.20*
0.0380
5.81
'weighted absolute aagnitude.
4-79
-------
Table 4-23. Repeated Analysis Precision Radian vs. EPA GC Channels.
CHANNEL
Mean
sddi
ALPHA
BETA
N
NMOCBAR
DI
Z Diff.
*
X cv
A
GC
73
1.0358
0.0308
2.97
0.21136
72
20.4
B
GC
77
0.8747
0.0304
3.48
0.12036
76
13.8
C
GC
102
0.8592
0.0940
10.9
0.13434
101
15.6
D
GC
84
0.9013
0.0677
7.51
0.19966
83
22.2
336 0.9116 0.0591 6.49 0.1687 332 18.5
Test the hypothesis: "
t - 1M2221 - 6.383
0.1687/^32
'332,0.975 " l*970
reject Ho . The difference
0.0
with 332 degrees of freedom
is significantly different from zero.
4-82
-------
The statistic a calculated in Table 4-22 were calculated in the same
way as corresponding values in Table 4-18. The results suggest there was
less variability in repeated analyses when both repeated analyses were done
on the save instrument than when they were done on different instruments.
The pooled "within-instrument" X difference calculated in Table 4-22 was
5.20, compared to 8.49 for the "betveen-instrument" X difference calculated
in Table 4-18. The pooled X coefficient of variation in Table 4-22 was
5.81, compared to 16.7% calculated in Table 4-18. Although the number of
comparisons was small in this study (If • 10), the results suggest that the
mean differences of repeated analyses is significantly less when both
analyeea were done on the same channel than when they were done on different
channels. This postulate should be further investigated in any future
study.
Table 4-23 collects the repeated analysis data involving the four
Radian channels and the EPA Channel GC. The table shows that in each
channel pair, the mean value of the measured HMOC difference, 01 is posi?
tive, averaging 5.9X. The teat of hypothesis tests whether the pooled
differences between the channel pairs is sero. The test indicates that the
difference is significantly greater than sero. This result was not un-
expected becauae the EPA. GC channel replaced the cryogenic trap with a
capillary gas chromatographic column* Molecules with a large molecular
weight were not expected to be able to pass completely through the GC
column, but would be trapped in the cryogenic trap and give the latter
(measured on the Radian Channels) a higher HMOC measurement*
4.2.3.2 Local Ambient gamnlea—Four local ambient samples were
collected by the U.8. XPA Quality Assurance Division and analysed first on
Channel K, then the analysis was repeated on each Radian channel* The
reaults of these analyses are listed in Table 4-13, Caaes 485 through 531.
Table 4-19 alao lists statiatics resulting from the samplea as channel
pairs Ho. 21 through 24 (and Vo. 34).
4-81
-------
Table 4-24. Analysis of Variance of Repeated Analyses of
Local Ambient Samples.
MODEL: DI ¦ CONSTANT + BETA
NUMBER OF CASES PROCESSED: 47
DEPENDENT VARIABLE MEAN: -0.06319
MULTIPLE CORRELATION: .321
SQUARED MULTIPLE CORRELATION: .103
ANALYSIS OP VARIANCE
SOURCE SUM-OF-SQUARES DP MEAN-SQUARE F-RATIO P
BETA 0.02582 3 0.00861 1.642 .194
ERROR 0.22540 43 0.00524
*******************************************************************
4-84
-------
Tabic 4-24 gives an analysis of variance for the repeated analyses of
local ambient samples, testing the model to see if BETA (the channel of the
second analysis) is a factor. The fact that the F-Ratio is 1.642 and that
P ¦ 0*194 (i.e. 0.05) indicate that BETA is not a factor, at the 5 percent
level of significance. It may be concluded that there vas no apparent
difference tnong the Radian channels performing the second analysis.
Table 4-25 presents the results of the repeated analyses for the
channel pairs involving EPA QAD Channel 8 and the Radian Channels A, B, C,
and D fro* still another perspective. The first rov in Table 4-25 sunu-
rises statistics when the first analysis vas done on Channel A and the
second analysis vas done on Channel E. The second rov shovs the statistics
for the case in vhich the first analysis vas done on Channel B and the
second analysis vas done on Channel A. Pairs of rovs vhich complete the
table follov the same pattern for Radian Channels B, C« and D and EPA
Channel E. The third column in the tabla gives the mean MMOC value deter-
mined from two repeated analyses. It is to be noted that in every case for
the local ambient samples (first analysis oa Channel E), the KMOCBAR values
sre from 38 to 62 percent higher than for the cases in vhich the samples
vere analysed first on the Radian channels. The fact that the HMOCBAR
'•lues for the local ambient samples vere higher than the HMOCBAR values
vhen Channel E vaa the channel of the second analysis may be important in
helping to explain why the variances of the differences in the comparisons
made belov are not equal.
The fourth column in the table gives the mean difference, 01, defined
11 the HMOC value from the first analysis (HM0C1) minus the HMOC value from
the second repeated analysis (IM0C2). The striking result displayed in
column 4 is that the mean differences are all negative. If one instrument
recording consistently higher values than the other, the mean differ-
ence 01 would be positive in one case and negative in the next ease. The
results reported in Table 4-25 for 01 suggest that the HMOC value from the
second analysis vas alvays greater than the IMOC value from the first
analysis. To explain such an occurrence, it a*y bepostulated that at the
higher pressure (before the first analysis) sufficient HMOC adsorbed on the
tank to reduce the HMOC concentration for the first analysis, regardless of
the channel on vhich the first analysis occurred. Then on the second (and
4-83
-------
possibly subsequent analyses) analysis, NMOC desorbed from the tank valla
to increase tbe concentration of the second analysis.
Column 5 gives the number of cases for a given pair of repeated
analyses. Columns 6t 7, and 8 tabulate the standard deviation, the F
statistic and Fisher's F for a 5 percent level of significance and the
appropriate degrees of freedom. The F statistic may be used to test the
Null Hypothesis that the population Variances are equal, i.e., Ho: -
for the pairs of analyses on Channels A-E and E-A, respectively.
Column 9 notes that the data indicate that the variances of the differences
when the analysis is performed on the Radian channels first are not equal
to the variances of the differences when the analysis is done first on the
EPA QAD Channel E. A poasible explanation of this kind of phenomenon might
be that both UT and the standard deviation, SD, are functions of NMOC BAR
sueh that as MMOCBAR decreases, 8D increases. As pointed out above the
mean values of NMOCBAR for the local ambient samples was from 38 to 62
percent higher than for the cases in which Channel E was the channel of the
second analysis. This pbenonenon might be investigated in future studies.
The final three columns in Table 4-25 are uaed to test the hypotheses
that the mean differences are equal for the A-E channel pair compared to
the E-A, and so on for B-E/E-B, C-E/E-C, and D-E/E-D. The table indicatea
the result that, except for the first case (A-E/E-A) it cannot be concluded
that the mean differences are equal. This may suggest that the NMOC
differences for repeated analyses are a function of NMOC level. The
analyses done earlier in this section on a linear relationship between, DI,
and NMOCBAR, shoved only a weak functionality, but the comparisons made
here are strongly suggestive of at leaat a linear relationship. Future
studies should investigate this potential phenonenon further.
4.2.4 Duplicitt gUPltf
Duplicate samples were taken at various sites on a random schedule
that waa given in the Test Plan for the project. Table 4-26 summarizes
data for the duplicate samplea. It gives information on the site, tbe
sample date and the Radian NMOC value, along with NMOC determinations from
Channel E and the ESRL-GC determination. Table 4-27 gives the difference,
DI, between the analysis of the first duplicate and the second duplicate.
4—86
-------
Table 4-25. Repeated Aaalyset, Effect of Cfcaaael of First Analysis
First SecMd
Aaalytis Aul;iii WOCMR PI
Staadard
Deviation
r
Statistic
Fisher's
*1**2 9
Bo:
2 2
Statist ic
Students
*0.975.f *6!, "*15^
A
B
1.0732 -0.1464 2H
1.4773 -0.0839 13
0.9083
1.4725
0.9290
1.4464
-0.1904 26
-0.0817 12
-0.1197
-0.0564
36
II
0.169
0.071
0.192
0.070
0.167
0.073
5.604
7.469
5.228
2.97
3.16
3.28
Reject
Reject
Reject
-1.658
-2.536
-1 777
2.020
2.029
2.019
Accept
Reject
Reject
1.0412
1.4309
-0.1757 30
-0.0254 II
0.1428
0.0746
3.664
3.32
Reject
-4.365
2.027
Reject
Pooled: 1.1190 -0.1293
2 Difference - (-0.1293/1.1190) x 100 - 10.9*
-------
Table 4-26 (cont.)
1984 SUMMER NNOC STUDY
SAMPLING JULJAM CAN
SITE DATE DATE SAMPLED RADIAN NO.
CODE SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIG) (PSIC) RADIAN RADIAN
PRESSURE PRESSURE ANALYSIS HHOC
SAMPLED RECEIVED DATE INST
EPA RADIAN NNOC NNOC
ANALYSIS PPMC PPMC PPMC
DATE NNOC QAD ESRL-GC
CHNC 07/16/84
198
MONDAY
1251
184
19.0
19.0
07/17/84
D
0.45
CHNC 87/16/84
198
NOWAY
1252
188
19.0
19.5
07/17/84
C
0.56
CHNC 08/02/84
215
THURSDAY
1533
2
15.0
15.0
08/06/84
C
0.18
CHNC 08/02/84
215
THURSDAY
1532
156
15.0
14.8
08/06/84
A
0.21
CHNC 08/16/84
229
THURSDAY
1765
165
15.5
15.0
08/17/84
A
0.68
CHNC 08/16/84
229
THURSDAY
1764
188
15.5
14.9
08/17/84
C
0.69
CHNC 09/27/84
271
THURSDAY
2474
112
16.0
15.5
10/02/84
B 10/02/84
0.18
CHNC 09/27/84
271
THURSDAY
2473
146
16.0
15.7
10/01/84
C
0.19
0.23
0.1S
CIITN 08/02/84
215
THURSDAY
1587
104
14.0
14.0
08/08/84
B
0.69
CHTN 08/02/84
. 215
THURSDAY
1588
143
14.0
14.5
08/07/84
A
0.69
CHTN 09/11/84
255
TUESDAY
2211
34
15.5
16.1
09/14/84
C
1.33
CNTH 09/11/84
255
TUESDAY
2210
41
15.5
16.0
09/14/84
D
>.20
CLTX 06/28/84
180
THURSDAY
1069
99
17.1
17.5
06/29/84
D 07/10/84
0.53
0.45
CLTX 06/28/84
180
THURSDAY
1068
96
17.1
17.3
06/29/84
B 07/10/84
0.46
0.45
CLTX 07/04/84
186
WEDNESDAY
1131
17
5.1
8.0
07/06/84
C
1.30
CLTX 07/04/84
186
WEDNESDAY
1139
44
18.1
16.2
07/09/84
&
1.58
CLTX 08/14/84
227
TUESDAY
1736
84
16.5
16.5
08/16/84
A
0.58
CLTX 08/14/84
227
TUESDAY
1735
164
16.5
17.0
08/16/84
C 08/20/84
0.51
0.51
CLTX 08/23/84
236
THURSDAY
1900
165
16.0
16.5
08/23/84
D
0.42
CLTX 08/23/84
236
THURSDAY
1901
172
16.0
16.5
08/27/84
B
0.51
CLTX 09/24/84
268
MONDAY
2395
157
18.0
16.5
09/26/84
C
0.54
CLTX 09/24/84
268
MONDAY
2394
62
18.0
16.5
09/26/84
B
0.75
(continued)
-------
19M SUMNER NHOC STUDY
Table 4-26. Duplicate Samples Sumary.
SAflPLING
JULIAN
CAN
(PSIC)
(PSIC)
RADIAII
RADIAN
EPA
RADIAN
t»K)C
SITE
DATE
DATE
SAMPLED
RADIAN
NO.
PRESSURE
PRESSURE
ANALYSIS
woe
ANALYSIS
PPHC
PPflC
CODE
SAMPLED
SAMPLED
WEEKDAY
LAB ID
SAMPLED
SAMPLED
RECEIVED
DATE
INST
DATE
NHOC
QAD
AKOH
07/26/14
208
THURSDAY
1448
64
17.5
17.0
07/30/84
A
1.06
AKOH
07/26/84
208
THURSDAY
1447
102
17.5
16.9
07/30/84
C
07/31/84
1.11
1.35
AIOH
09/06/84
250
THURSDAY
2120
79
18.0
18.0
09/10/84
c
2.95
AKOH
09/06/84
250
THURSDAY
2119
9
18.0
19.5
09/10/84
c
2.77
ASOR
•9/M/M
262
mcofty
2299
149
16.5
17.0
09/20/84
c
0.79
Mtoa
09/18/84
2S2
TUESDAY
2298
18
16.5
17.5
09/20/84
E
09/21/84
0.77
MHOC
PPI1C
ESRL-GC
0.71
0T/}»/«4
A+GA 07/27/84
3/94
08/0V84
iw¥x 08/01/84
BNTX 09/13/94
am 09/13/84
29*
FRIDAY
1455
32
14.0
13.5
07/31/94
C 08/01/84
0.66
299
FRIDAY
1456
91
14.0
13.9
07/31/84
B
0.58
11C
THURSDAY
1906
89
14.0
14.0
08/29/84
A
0.40
236
THURSDAY
1905
21
14.0
13.S
08/29/84
C
0.51
254
HOBDAY
2171
155
15.0
15.0
09/12/84
B
0.50
254
MONDAY
2170
67
15.0
15.0
09/12/84
D
"0.4«
FKIOAY
1643
35
9.8
9.5
0R/09/94
B
0.50
216
FRIDAY
1642
188
9.8
9.5
09/09/84
&
0.56
iU
WEDNESDAY
1535
127
24.0
23v9
09/09/84
A
0.40
214
WEDNESDAY
1534
109
24.5
24.8
08/06/84
C
0.51
257
THURSDAY
2292
182
21.5
21.5
09/19/94
D
1.39
257
THURSDAY
2291
173
21.5
18.0
09/19/94
C
1.67
0.70
(continued)
-------
1984 SUHMER HMOC STUDY
Table 4-26 (cont.)
SAMPLING
JULIAN
CAM
(PSIG)
(PSIG) RADIAN
RADIAN
EPA
RADIAN
NKOC
tlftOC
SITE DATE
DATE
SAMPLED
RADIAN
NO.
PRESSURE
PRESSURE ANALYSIS
NMOC
ANALYSIS
PPMC
PPMC
PPMC
CODE SAMPLED
SAMPLED
WEEKDAY
LAI: ID
SAMPLED
SAMPLED
RECEIVED DATE
INST
DATE
Nnoc
QAD
ESRL
I BIN 08/01/84
214
HEDMESDAY
1553
153
13.1
12.9 08/06/84
A
1.14
ININ 08/01/84
214
WEDNESDAY
1554
131
13.1
12.5 08/06/84
C
1.34
IN1N 08/29/84
242
WEDNESDAY
1995
106
14.3
14.0 08/31/84
A
0.52
1NIH 08/29/84
242
WEDNESDAY
1996
152
14.3
14.0 08/31/84
A
0.52
IHIN 09/21/84
265
FRIDAY
2380
46
14.0
13.8 09/26/84
D
0.99
IKIN 09/21/84
265
PRIDAY
2381
155
14.0
13.3 09/26/84
C
0.98
KCMO 08/17/84
230
PRIDAY
1823
190
14.0
14.1 08/21/84
B
0.64
KCMO 08/17/84
230
PRIDAY
1822
106
14.0
14.8 08/21/84
C 08/22/84
0.64
KCMO 08/27/84
240
MONDAY
1957
151
13.5
13.3 08/29/84
A
0.57
KCMO 08/27/84
240
MONDAY
1956
64
13.5
13.4 08/29/84
C
0.35
f
-------
19H4 SUMMER NHOC STUDY
Table 4-26 (cont.)
SAMPLING
SITE DATS
CODE SAMPLED
JULIAN
DATE SAMPLED
SAMPLED WEEKDAY
CM)
RADIAN NO.
LAB ID SAMPLED
IPSIG) (PSIG)
PRESSURE PRESSURE
SAMPLED RECEIVED
RADIAN RADIAN
ANALYSIS NHOC
DATE INST
EPA RADIAM
ANALYSIS PPHC
DATE NHOC
croc hmoc
PPHC PPHC
GAD ESRL-GC
CNOH 09/06/84
250
THURSDAY
2123
121
17.0
17.0 09/10/84
D
0.88
CMOH 09/06/84
250
THURSDAY
2124
71
17.0
15.5 09/10/84
D
1.00
DLTX 06/22/84
174
FRIDAY
1029
44
16.0
13.0 06/25/84
A 06/26/84
1.42
1.60
DLTX 06/22/84
174
FRIDAY
1028
42
16.0
16.5 06/25/84
C 06/26/84
1.61
1.61
DLTX 07/30/84
212
MONDAY
1499
19
13.0
16.0 08/01/84
C
1.22
DLTX 07/30/84
212
NOWAY
1500
186
18.6
16.0 08/01/84
D
1.16
DLTX 09/06/84
250
THURSDAY
2117
6
16.5
IS.5 09/10/84
D
1.28
DLTX 09/06/84
250
THURSDAY
2118
188
16.5
14.5 09/10/84
C
1.25
DLTX 09/17/84
261
MONDAY
2287
106
17.0
17.0 09/19/84
C
1.06
DLTX 09/17/84
261
MONDAY
2288
71
17.0
16.5 09/19/84
D
1.16
ELW 07/12/84
194
THURSDAY
1223
17
13.0
13.0 07/16/84
D
0.68
ELTX 07/12/84
194
THURSDAY
1222
127
13.0
10.5 07/16/84
D
0.60
ELTX 07/25/84
207
WEDNESDAY
1421
49
12.5
9.5 07/27/84
B
0.67
ELTX 87/25/84
207
WEDNESDAY
1422
97
13.5
10.3 07/27/64
B
0.68
ELTX 09/07/64
251
FRIDAY
2146
106
14.0
12.0 09/11/84
C
1.21
ELTX 09/07/84
251
FRIDAY
2145
19
14.0
11.5 09/11/84
C
1.25
ELTX 09/20/84
264
THURSDAY
2361
If 1
13.0
11.5 09/24/84
C 09/25/84
1.78
ELTX 09/20/84
264
THURSDAY
2360
43
13.0
11.2 09/24/84
B 09/25/84
1.84
FWTX 06/20/84
172
WEDNESDAY
1023
3
18.0
17.7 06/25/84
A
1.18
FMTX 06/20/84
172
WEDNESDAY
1022
4
18.0
17.7 06/25/84
B
1.11
FMTX 07/06/84
188
FRIDAY
1144
144
15.0
15.0 07/09/84
A
0.87
FWTX 07/06/84
188
FRIDAY
1143
145
15.0
15.0 07/09/84
C
1.02
FWTX 07/24/84
206
TUESDAY
1404
63
17.0
16.0 07/26/84
C
1.09
FWTX 07/24/84
206
TUESDAY
1403
96
17.0
17.0 07/26/84
B
1.04
(continued)
-------
Table 4-26
(cont.)
1984 SUMMER NMOC STUDY
SAMPLING
SITE DATE
CODE SAMPLED
JULIAN
DATE
SAMPLED
SAMPLED
KEEKDAT
RADIAN
LAB ID
CAM
N0«
SAMPLED
(PSIG)
PRESSURE
SAMPLED
(PSIG) RADIAN
PRESSURE ANALYSIS
RECEIVED DATE
RADIAN
NMOC
INST
EPA
ANALYSIS
DATE
RADIAN
PPNC
NMOC
NMOC
PPMC
0AD
NMOC
PPMC
ESRL-GC
¦ ¦tHUI
WBPA 07/17/84
WBPA 07/17/84
C IKBSKSEI
199
199
B
TUEFDAY
TUESDAY
1286
1285
167
180
17.0
17.0
17.5 07/19/84
17.4 07/19/84
C
B 07/23/84
0.62
0.46
0. <7
WBPA 08/06/84
WBPA 08/06/84
219
219
MONDAY
MONDAY
1645
1644
120
64
22.0
22.0
22.0 08/09/84
21.5 08/09/84
A
A 08/10/84
0.26
0.24
0.20
WDC 07/06/84
188
FRIDAY
1182
55
17.0
17.0 07/12/84
B
0.55
WDC 07/06/84
188
FRIDAY
1183
53
17.0
17.5 07/12/84
C
0.56
HDC 07/27/84
209
FRIDAY
1464
101
20.0
20.5 08/01/84
B 08/03/84
0.68
0.56
HDC 07/27/84
209
FRIDAY
1496
164
17.0
17.8 08/01/84
C
0.56
HDC 08/14/84
227
TUESDAY
1780
73
16.0
16.0 08/20/84
C
0.68
WDC 08/14/84
227
TUESDAY
1781
76
16.0
16.0 08/20/84
D
0.65
NPFL 06/28/84
180
THURSDAY
1080
69
15.0
15.0 07/02/84
A 07/10/84
0.28
0.31
MPPL 06/28/84
180
THURSDAY
1079
68
15.0
15.0 07/02/84
A 07/10/84
0.45
0.37
WPFI. 07/23/84
205
MONDAY
1372
113
16.2
16.5 07/25/84
C 07/27/84
0.44
0.39
NPPL 07/23/84
205
MONDAY
1373
78
16.2
16.5 07/25/84
A
0.41
-------
Table 4-26 (cont.)
1984 SUMMER NHOC STUDY
SAMPLING JULIAN CAN
SITE DATE DATE SAMPLED RADIAN NO.
CODE SAMPLED SAMPLED WEEKDAY LAB ID SAMPLED
(PSIC) (PSIG) RADIAN RADIAN
PRESSURE PRESSURE ANALYSIS W.OC
SAMPLED RECEIVED DATE INST
EPA RADIAN NHOC
ANALYSIS PPHC PPNC
DATE NHOC GAD
PPHC
ESRL-GC
T
«©
ORTX 07/04/04
ORTX 07/06/04
188 PRIDAY
188 PRIDAY
1171
1170
32
42
18.8
18.8
16.5 07/11/84
16.5 07/11/04
A
C 07/12/84
1.28
1.25
ORTX 00/09/04
ORTS 00/09/04
222 THURSDAY
222 THURSDAY
1667
1668
157
19
18.0
18.0
15.7 08/13/84
15.3 08/13/84
C
D
0.30
0.33
ORTX 08/27/04
ORTX 08/27/84
240 MONDAY
240 MONDAY
1971
1972
181
140
19.0
19.0
17.1 08/29/P4
17.0 08/38/84
C
D
0.89
0.90
PUPA 88/18/84
PRPA 88/18/84
229 THURSDAY
229 THURSDAY
1799
1798
170
184
15.8
15.8
16.1 08/20/84
16.1 08/28/84
D
C
0.62
0.57
PUPA 08/38/84
PMPA 88/38/84
243 THURSDAY
243 THURSDAY
2044
2043
137
87
15.8
15.8
16.0 09/05/84
16.0 09/05/04
A
B
0.95
0.84
RVA 08/01/84
RVA 88/01/84
214 WEDNESDAY
214 WEDNESDAY
1516
1515
157
96
16.0
16.0
16.1 08/02/84
16.1 08/82/84
D
D
0.32
0.32
RVA 88/24/84
RVA 08/24/84
237 PRIDAY
237 PRIDAY
1097
1896
139
176
15.0
15.0
15.1 08/28/84
14.8 08/27/84
C
D 00/28/84
0.44
0.49
TCTX 06/28/04
TCTX 06/28/84
170 TUESDAY
178 TUESDAY
1054
1055
66
73
18.0
18.0
18.0 06/28/84
18.0 06/28/84
C 06/26/84
C
0.96
1.01
TCTX 87/18/82
TCTX 07/18/84
200 KEDNESDAY
200 WEDNESDAY
1312
1311
12
52
25.0
25.0
25.0 07/20/84
24.0 07/20/84
C
B
0.81
1.07
TCTX 09/04/84
TCTX 09/04/84
248 TUESDAY
248 TUESDAY
2075
2074
96
65
18.0
18.0
17.9 09/0C/84
17.9 09/08/84
D
C
0.60
0.60
TCTX 89/28/84
TCTX 89/20/84
264 THURSDAY
264 THURSDAY
2354
2353
77
130
19.0
19.0
19.5 09/24/84
20.0 09/24/84
D
D 09/25/84
0.32
0.31
1.33
0.41
1.00
0.33
(continued)
-------
No attempt vat made to differentiate between or to determine any effect of
the channel on the result. Table 4-27 gives the result in terms of the
site code name, e.g. for Case 1, the site is AKOH (Akron, Ohio) and DI -
-0.050 is the difference between the analysis of the first duplicate, 1.06,
and the analysis of the second duplicate, 1.11. The duplicate samples were
taken simultaneously in parallel in two stainless steel evacuated cylinders
through a teed sample line.
The upper set of statistics in Table 4-28 is for DI for duplicate
samples from all the sites (total observations 59). The akewness and
kurtosis statistics given in Table 4-28 are the third and fourth moments,
respectively about the sample mean and may be used to compare the frequency-
sise data with the normal distribution. Examination of the data in Tables
4-26 and 4-27 indicates that Case 41 for Memphis, Tennessee (KTN) is an
outlier. This case is discussed in more detail below. The lover set of
statistics in Table 4-28 reanalyzes the duplicate aample differences,
eliminating the outlier from the set of duplicate samples. Rote that the
range, the skevness, and the kurtosis all ara substantially reduced when
the one outlier is removed and the mean is significantly increased.
Figures 4-15 and 4-16 represent distribution diagrams for the com-
posite duplicate sample differences, not including Case 41 of Table 4-27.
Figure 4-15 shovs DI (duplicate sample HMOC difference values) ranging from
-0.41 and 0.22. The symbol "a" on the abscissa shovs the approximate
location of the mean of all the duplicate sample differences, vhile the
left and right parentheses shov the approximate location of one standard
drrittion (plus and minus) from the mean. All the values given in Figures
4-15 and 4-16 may be confirmed by comparing vith the statistics given in
Table 4-28 (minimum ¦ -0.410, maximum ¦ 0.220, mean ¦ -0.0277, standard
deviation ¦ 0.1174). Figure 4-15 is a histogram of the DI data for the
duplicate samples, and Figure 4-16 is a stem and leaf plot of variable DI.
Both are frequency diagrams and display the frequency distribution of DI
fi*st vith the magnitude DI on a horizontal scale and secondly in Figure
4-16 the magnitude of DI is on a vertical scale. The hinges (H) shovn in
4-94
-------
1
2
3
4
5
6
7
8
9
10
11
12
13
14
IS
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
33
36
37
38
39
40
41
42
43
44
43
46
47
48
49
30
31
32
33
34
33
36
37
38
39
Table 4-27. Differences of Duplicate NMOC Analyses.
SYTE* SITE DI
AKOH
1.000
-0.050
AKOH
1.000
0. 180
AKOH
I. ooo
0.020
ATGA
2.000
0.080
ATGA
2.000
-0.110
ATGA
2.000
0.020
BAL
3.000
-0.060
BMTX
4.000
-0. no
BMTX
4.000
-0.280
CHNC
5.000
-0.110
CHNC
5.000
-0.030
CHNC
5.000
-0.010
CHNC
5.000
-o.oto
CHTN
6.000
0.
CHTN
6. OOO
0.130
CLTX
7.000
0.070
CLTX
7. OOO
-0.280
CLTX
7.000
0.070
CLTX
7.000
-0.090
CLTX
7.000
-0.210
CNOH
8.000
-0.120
DLTX
9.000
-0.190
DLTX
9.000
0.060
DLTX
9.000
0.030
DLTX
9.000
-0.iOQ
ELTX
10.000
0.080
ELTX
10.000
-0.010
ELTX
10.000
-0.040
ELTX
10.000
-0.060
FWTX
11.000
0.070
FWTX
11.000
-0.150
FWTX
11.000
0.050
ININ
12.000
-0.200
ININ
12.000
0.
ININ
12.000
0.010
KCMO
13.000
0.
KCMO
13.000
0.220
MIFL
14.000
-0.030
MIFL
14.000
0.010
MIFL
14.000
-0.410
MTN
15.000
-0.940
ORTX
16.000
0.030
ORTX
16.000
0.050
ORTX
16.000
-o.oia
PHPA
17.000
0.050
PHPA
17.OOO
o. na
RVA
18.000
0.
RVA
18.000
-0.050
TCTX
19.OOO
-0.030
TCTX
19.OOO
-0.260
TCTX
19.000
0.
TCTX
19.000
0.010
WBPA
20.000
0.160
WBPA
20.000
0.020
WDC
21.000
-o.oto
WDC
21.000
0.012
WDC
21.000
0.030
WPFL
22.000
-0.170
WPFL
22.000
0.030
-------
Figure 4-15. Duplicate Sample Differences Histogram
PROPORTION PGR STANDARD UNIT COUNT
1.0 +
.9 +
1
•
.8 ~
•
a
.7 +
•
•
.6 +
•
•
*****
.5 *
**********
1
•
**********
.4 ~
**********
1
1
**********
.3 +
**********
1
1
**********
.2 +
********************
I
•
******************************
.1 +
*****
******************************
J ***** **************************************** !
-.41 < A ) .22
DI
4-96
-------
Table 4-28. Duplicate Sample Differences.
TOTAL.. OBSERVATIONS: '5^
N OF CASE'S
MINI Ml)M
MAX I Ml IM
FLANGE
MEAN
VARIANCE
STANDARD DEV
87D. ERROR
SKEWNESS
KURTOSIS
DI
-O.9*000
O.2200Q
1 . I 6<">' )< >
-O. 0431*?
O. 02766
O.16631
o - o 16r»
-2.88146
12."6**3
01 H I IER FROM MTN I IAS DEEM REMOVED FROM THE FOLLOWING DATA.
TOTAL OBSERVATIONS: SS
M t I I1 I'M 11*1
MA* I Ml. IN
RANGE
MEAN
V«RIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
t :.I.IR TOSIS
DI
•=;8
<"i. 4 1 000
0.22000
0.6300'")
-0.02772
0. 01 Z '71
O.11^44
0. 0154.2
O.3407I
1 . 1 821
4-95
-------
Figure 4-16 between the stems and the leaves split the upper half and the
lover half of the frequency data into halves again. The "H-spread" is the
difference between the values of the two hinges. The "inner fences" are
defined as follows:
lower fence ™ lower hinge - (1.5 x Hspread)
upper fence ¦ upper hinge ~ (1.5 x Hspread)
Any HMOC difference values outside the inner fences are printed on separate
lines and separated from the other lines by a line of text "***ODTSIDE
VALUES***."
Table 4-29 presents the duplicate difference statistics by sites.
These data are summarized in a sore compact tabular form in Table 4-30.
The first six columns summarize selected statistics of Table 4-29. The
last 5 columns are ranked by mean difference* DT. The penultimate column
shows the t statistic for the designated site iriiieh may be used to test the
hypothesis that . q#q. The coiuan i# Student's t statistic which
gives tC( the critical t at the 5Z significance level and appropriate
degrees of freedom. If t is greater than te, then accept the hypothesis
that the mean difference between duplicate samples is not equal to zero.
Table 4-30 also indicates that the difference datum for Memphis, Tennessess
(MR) is apparently an outlier. This may be clearly seen also by
examination of Figure 4-17, which plots DI for all the sites in this study.
The fact that only one duplicate was measured for MTU (Site No. 15)
requires that a qualitative test be used to declare it to be an outlier.
The footnote in Table 4-30 indicates that there was an unusual circumstance
in the duplicate measurement for MTH in the cause of the analysis which
justified the declaration of the point to be an outlier.
* Tukey, J. W. Exploratory Data Analysis. Addison-Wesley, Reading, Mass.
(1977).
4-98
-------
Figure 4-16. Stem and Leaf Plot of Duplicate Differences.
STEM AND LEAF PLOT OF VARIABLE: DI
SMALLEST VALUE AT TOP OF PLOT IS: -.4100000
-4 1
_ 2 gg
***0UTSIDE VALUES***
-2 6
-2 10
-I 973
-1 21110
-0 H 966555
-0 43311111
0 H 0000011112223333
0 555677788
1 13
1 68
***0UTSIDE VALUES***
2 2
4-97
-------
Table 4-29 (cont.)
THE FOLLOWING RESULTS ARE FOR J
SYTE* ¦ DLTX
TOTAL OBSERVATIONS* 4
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
4
-0.190
0.060
—O.050
0.014
0. 116
0.058
THE FOLLOWING RESULTS ARE FOR:
SYTE* - yCMO
TOTAL OBSERVATIONS: 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD
DEV/
STD. ERROR
DI
<•>.
O. 220
O. 1 1 0
O. 024
0. 156
0. 1 10
THE FOLLOWING RESULTS ARE FORi
SYTE* - ELTX
TOTAL OBSERVATIONS! 4
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
4
-0.060
0.080
-0.007
0.004
O. 062
0.031
THE FOLLOWING RESULTS ARE FOR:
SYTE* ¦ MIFL
TOTAL OBSERVATIONS! 3
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
3
-0.410
0.010-
-O.143
0.054
O. 232
O. 134
THE FOLLOWING RESULTS ARE FORt
SYTE* - FWTX
TOTAL OBSERVATIONS! 3
THE FOLLOWING RESULTS ARE FOR:
SYTE* • MTN
TOTAL OBSERVATIONS! 1
DI
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
-0.150
0.070
-0.010
0.015
0. 122
0.070
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
1
-0.940
-0.940
-0.940
0.
O.
O.
THE FOLLOWING RESULTS ARE FORi
SYTE* ¦ ININ
THE FOLLOWING RESULTS ARE FORi
SYTE* - ORTX
TOTAL OBSERVATIONS!
TOTAL OBSERVATIONS!
DI
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
-0.200
0.010
-0.063
0.014
0. 118
0.068
(continued)
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
-0.010
0.050
0.023
0.001
0.031
0.018
-------
Table 4-29. Analysis of Duplicate Sample Difference by Site.
THE FOLLOWING RESULTS ARE FORi
SYTE* - AKOH
TOTAL OBSERVATIONS! 3
THE FOLLOWING RESULTS ARE FORl
SYTE* - CHNC
TOTAL OBSERVATIONS* 4
M OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
-0.03O
0. ISO
0.050
0.014
0.118
0.068
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
4
-O.110
-0.010
—O.040
0.002
0.04B
0.024
THE FOLLOWING RESULTS ARE FORi
SYTE* - ATGA
TOTAL OBSERVATIONS! 3
THE FOLLOWING RESULTS ARE FORi
SYTE# - CHTN
TOTAL OBSERVATIONS! 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
3
-O.110
0.080
-0.003
0.009
0.097
0.056
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
2
O.
0.130
0.065
0.008
0.092
0.065
THE FOLLOWING RESULTS ARE FORi
SYTE* - BAL
TOTAL OBSERVATIONS! 1
THE FOLLOWING RESULTS ARE FORi
SYTE* - CLTX
TOTAL OBSERVATIONS! 5
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
-0.060
-0.060
-0.060
0.
0.
0.
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
5
-O.280
0.070
-0.088
0.025
0.159
0.071
THE FOLLOWING RESULTS ARE FORi
SYTE* - BMTX
TOTAL OBSERVATIONS! 2
THE FOLLOWING RESULTS ARE FORi
SYTE* " CNOH
TOTAL OBSERVATIONS! 1
DI
DI
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
2
-0.280
-0.110
-0.195
0.014
0.120
0.0*5
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
1
-O.120
-0.120
-O.120
0.
0.
0.
(continued)
-------
Table 4-30. Duplicate Sample Statistica
Duplicate Sample Statiatica
Ranked bv PI. DI
Site
Site
Std.
Std.
Site
Std.
No.
Code
DI
Dev. n
Error
Code
DI
Error
t
t
c
1
AKOH
0.050
0.118 3
0.068
KCMO
0.110
0.110
1.618
12.706
2
ATGA
-0.003
0.097 3
0.056
WBPA
0.090
0.070
1.286
12.706
3
BAL
-0.060
0.000 1
0.000
PHPA
0.080
0.030
2.667
12.706
4
BMTZ
-0.195
0.120 2
0.085
CHTN
0.065
0.065
1.000
12.706
5
CHNC
-0.040
0.048 4
0.024
AKOH
0.050
0.068
0.735
4.303
6
CHTH
0.065
0.092 2
0.065
ORTX
0.023
0.018
1.278
4.303
7
CLTX
-0.088
0.159 5
0.071
VDC
0.011
0.012
0.916
4.303
8
CNOH
-0.120
0.000 1
0.000
ATGA
-0.003
0.056
-0.054
4.303
9
DLTZ
-0.050
0.116 4
0.058
ELTZ
-0.007
0.062
-0.113
3.182
10
ELTZ
-0.007
0.06 2 4
0.031
FWTZ
-0.010
0.070
-0.143
4.303
11
FWTZ
-0.010
0.122 3
0.070
RVA
-0.025
0.025
-1.000
12.706
12
IHIN
-0.063
0.118 3
0.068
CHHC
-0.040
0.024
-1.667
3.182
13
KCMO
0.110
0.156 2
0.110
DLTZ
-0.050
0.058
-0.862
3.182
14
MIPL
-0.143
0.232 3
0.134
BAL
-0.060
0.000
—
_
15
MTH
-0.940*
0.000 1
0.000
IHIH
-0.063
0.068
-0.926
4.303
16
ORTX
0.023
0.031 3
0.018
HPFL
-0.070
0.100
-0.700
12.706
17
PHPA
0.080
0.042 2
0.030
TCTZ
-0.075
0.063
-1.190
3.182
18
RVA
-0.025
0.035 2
0.025
CLTZ
-0.088
0.071
1.239
2.776
19
TCTX
-0.075
0.126 4
0.063
CHOH
-0.120
0.000
_
—
20
WBPA
0.090
0.099 2
0.070
MIFL
-0.143
0.134
-1.067
4.303
21
WDC
0.011
0.020 3
0.012
BMTZ
-0.195
0.120
1.625
12.706
22
HPFL
-0.070
0.141 2
0.100
MTH
-0.940* 0.000
This sample ia apparently an outlier. Examination of the laboratory notebooka
•bowed the following for Radian Sample ID Ho. 2131 and Ho. 2132, the two IP
numbera for the duplicate samples from Memphis, Tennessee.
Analvaia Ho.
1
2
3
Sample Ho. 2H1
DI - 0.36 - 1.30 - -0.940
Area Count
ppmC
Area Count
ppmC
4336.10
1.38
1078.76
0.34
*»??
mmi
Uti
Average
- 1.30
1169.04
. 9.?7
Average " 0.36
Thia datum was discarded aa an outlier.
4-102
-------
Table 4-29 (cont.)
THE FOLLOWING RESULTS ARE FORi
SYTE*
- PHPA
THE FOLLOWING RESULTS ARE FOR:
SYTE* - WE"PA
TOTAL OBSERVATIONS!
TOTAL OBSERVATIONS!
01
01
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
2
0.050
0. 110
O. 080
0.002
0.042
0.030
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0. 02'1
0. 1 &<.'
0. 090
O.ol'j
0. 099
0.O70
THE FOLLOWING RESULTS ARE FORi
SYTE*
- RVA
THE FOLLOWING RESULTS ARE FOR:
SYTE* - WDC
TOTAL OBSERVATIONS!
TOTAL OBSERVATIONS!
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
2
-0.030
0.
-0.023
0.001
0.033
0.023
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DI
3
-0.010
O. 030
0.011
0.000
0. 020
0.012
THE FOLLOWING RESULTS ARE FOR»
SYTE*
TOTAL OBSERVATIONS!
- TCTX
THE FOLLOWING RESULTS ARE FORt
SYTE* ¦ WPFL
TOTAL OBSERVATIONS! 2
01
01
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
4
-O.260
0.010
-0.073
0.016
O. 126
0.063
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
-0.170
0. 030
-O.070
0.020
O. 141
O. 100
4-101
-------
Table 4-30 indicates that none of the sites had a mean duplicate
sample difference significantly different from zero. (Note that BAL and
MIN could not be tested, having only one measurement each.) This assertion
is supported by the analysis of variance calculations summarized in Tables
4-31 and 4-32. Table 4-31 includes all the duplicate sample difference
data including the MIN datum discussed above as an outlier. The analysis
of variance data in Table 4-32 indicates that SITE is an important factor
in describing the mean duplicate sample difference DT. The P statistic is
the probablity that the variable SITE is not a factor. That probability is
zero (to 3 decimal points) and therefore SITE must be considered a factor.
Because the datum for MTN is so far removed from the remaining data it is
not surprising that SITE is a factor.
If the datum for Memphis, Tennessee is removed and an analysis of
variance (ANOVA) performed again, the results are shovn in Table 4-32. For
this ANOVA the probability that SITE is not a factor is 0.442, which is
significantly high to lead to the conclusion that SITE is not a factor in
analyzing the duplicate sample data.
In summary the analysis of the duplicate sample data indicates that
there is no significant difference between the duplicate samples smong any
of the sites tested. Table 1-3 indicated the precision of duplicate
analyses to be -3.4Z, but this cannot be said to be different from zero.
4.2.5 QC Samples
4.2.5.1 Radian In-House QC Samples—Various statistics are given in
Table 4-33 for the in-houae QC samples. A Radian QC coordinator prepared
the samples by diluting dry propane samples with cleaned, dry air with
calibrated, proportional flow controllers according to the schedule shown
in the QA Project Plan and in the table. The dry propane was prepared and
certified by the EPA's EMSL-RTP facility. The error term reported in Table
4-33 is the difference between the measured ppmC value and the calculated
ppmC value. The Radian QC sample was inserted among the daily samples (see
QA Project Plan). The analyst did not know the composition of the QC
sample at the time of analysis.
4-104
-------
Figure A—17. DI, Mean Difference in NMOC for Duplicate Sample Analyses.
NOTE: Site numbers are circled at DI for site.
-------
Table 4-32
Comparison o-f Duplicate Sample Di-f-ferencem.
NUMBER OF CASES PROCESSED: 58 (Datum for Memphis, Tenn. Deleted
as an Outlier.)
DEPENDENT VARIABLE MEAN: -0.028
MULTIPLE CORRELATION: .600
SQUARED MULTIPLE CORRELATION: .361
ANALYSIS OF VARIANCE
SOURCE SUM-OF-SQUARES DF MEAN-SQUARE F-RATIO P
SITE 0.283 20 0.014 1.043 44:
ERROR 0.503 37 0.014
MODEL: DI ¦ M + (SITE) + ERROR
4-106
-------
Table 4-31
Comparison of Duplicate Sample Di * erenc
MODEL: D1 - y + (SITE) + (ERROR)
NUMBER OF CASES PROCESSED! 59
DEPENDENT VARIABLE MEANi -0.043
MULTIPLE CORRELATION* .829
SQUARED MULTIPLE CORRELATION: .687
ANALYSIS OF VARIANCE
SOURCE SUM-OF-SQUARES DF MEAN-SQUARE F-RATIO P
SITE 1.102 21 0.032 3.861 .000
ERROR 0.303 37 0.014
4-105
-------
IN HOUSE QC SAMPLES -
NMOC INSTRUMENT
QC SAMPLE JULIAN
PREP. DAT DATE* •
07/12/04
194
07/17/04
199
07/19/04
201
07/20/04
202
07/23/04
205
07/23/04
205
07/25/04
207
07/25/04
207
07/31/04
213
00/02/04
215
00/03/04
210
00/07/04
220
00/09/04
222
00/15/04
220
00/21/04
234
00/23/04
230
00/24/04
237
00/31/04
244
09/13/04
257
09/24/04
200
10/01/04
275
WEEKDAY ANALYSIS
DATE
THURSDAY 07/12/04
TUESDAY 07/17/04
THURSDAY 07/19/04
FRIDAY 07/20/84
MONDAY 07/23/04
MONDAY 07/23/04
WEDNESDAY 07/24/04
MEDNE8DAY 07/25/04
TUE80AY 07/31/04
THURSDAY 00/02/04
FRIDAY 00/03/04
TUESDAY 00/07/04
THURSDAY 00/09/04
WEDNESDAY 00/15/04
TUESDAY 00/21/04
THURSDAY 00/23/04
FRIDAY 00/24/04
FRIDAY 00/31/04
THURSDAY 09/13/04
MONDAY 09/24/04
MONDAY 10/01/04
Table 4-33 (cont.)
HAN
ID •
NHOC
INST
CALC
PPNC
NBAS
PPNC
ERROR
PPNC
QC SAMPLE DESCRIPTION
1199
1259
1203
1204
1300
1307
1300
1307
1452
1503
1530
1500
1001
1709
1006
1020
1029
1991
2104
2342
2440
B
B
B
B
B
B
B
B
B
B
B
B
B
B
0.22
0.05
0.44
0.17
0.00
1.32
0.10
1.52
2.10
0.71
0.04
1.00
0.17
0.02
0.20
0.09
1.31
0.00
0.02
2.74
0.00
0.25
0.07
0.47
0.10
0.01
1.37
0.11
1.59
2.10
0.77
0.05
1.00
0.19
0.07
0.21
0.72
1.41
0.07
0.09
2.0
0.03
0.03
0.02
0.03
0.01
0.01
0.05
0.01
0.07
.00
0.00
0.01
0.02
0.02
0.05
0.01
0.03
0.10
0.01
0.07
0.00
0.03
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
STD.
STD.
STD.
STD.
STD.
STD.
STD.
STD.
STD.
STD.
STD
STD
STD
STD
STD
STD
STD
STD
STD
STD
STD
NUMBER -
MEAN -
Sd -
21
0.762
0.731
21
0.796
0.744
21
0.033
0.027
(continued)
-------
Table 4-33.
In-House QC Samples.
IN BOUSE QC SAMPLES - NHOC INSTRUMENT A
QC SAMPLE JOLIAR ,
, WEEKDAY
ANALY8IS
RADIAN
NHOC
cam;
NBAS
ERROR
QC SAMPLE DESCRIPTION
m. OAT
DATE
DATE
ID •
INST
PMC
PPNC
PPNC
¦
s
¦
I
(
¦
•
•
•
•
•
•
•
¦
¦
¦
¦
¦
¦
¦
•
1
a
•
•
•
•
•
•
•
•
•
•
•
•
•
¦
•
¦
1
•
•
•
•
•
1
1
•
•
•
•7/12/14
1*4
TRUR80AY
07/12/04
1190
A
0.22
0.24
0.02
DRY
DILUTED
PROPANE
STD.
07/17/04
109
TUESDAY
07/17/04
1259
A
0.05
0.00
0.01
DRY
DILUTED
PROPANE
STD.
07/19/04
201
TMURSOAY
07/10/04
1203
A
0.44
0.40
0.04
DRY
DILUTED
PROPANE
STD.
07/20/04
202
FRIDAY
07/20/04
1204
A
0.17
0.10
0.01
DRY
DILUTED
PROPANE
STD.
07/13/14
205
MONDAY
07/23/04
1300
A
0.00
0.02
0.02
DRY
DILUTED
PROPANE
STD.
07/23/94
205
MONDAY
07/23/04
1307
A
1.32
1.34
0.02
DRY
DILUTED
PROPANE
STD.
07/25/04
207
WEDNESDAY
07/20/04
1300
A
0.10
0.11
0.01
DRY
DILUTED
PROPANE
STD.
07/25/04
207
WEDNESDAY
07/25/04
1307
A
1.52
1.53
0.01
DRY
DILUTED
PROPANE
STD.
07/31/04
213
TOE80AY
07/31/04
1452
A
2.10
2.15
-0.03
DRY
DILUTED
PROPANE
STD.
00/02/04
215
THURSDAY
00/02/04
1503
A
0.71
0.70
0.07
DRY
DILUTED
PROPANE
STD.
00/03/04
210
FRIDAY
00/03/04
1530
A
0.04
0.04
.00
DRY
DILUTED
PROPANE
STD.
00/07/04
220
TOEODAY
00/07/04
1500
A
1.00
1.05
-0.01
DRY
DILUTED
PROPANE
STD.
00/00/04
222
TCOaSDAY
00/00/04
1001
A
0.17
0.21
0.04
DRY
DILUTED
PROPANE
STD.
00/15/04
220
WEDNESDAY
00/15/04
1709
A
0.02
0.00
0.04
DRY
DILUTED
PROPANE
STD.
O0/21/M
234
TUESDAY
00/21/04
1000
A
0.20
0.22
0.02
DRV
DILUTED
PROPANE
STD.
00/23/04
230
THURSDAY
00/23/04
1020
A
0.C9
0.73
0.04
DRY
DILUTED
PROPANE
STD.
0*24/04
237
FRIDAY
00/24/04
1029
A
1.31
1.42
0.11
DRY
DILUTED
PROPANE
STD.
00/31/04
244
FRIDAY
00/31/04
1991
A
0.0«
0.07
0.01
DRY
DILUTED
PROPANE
STD.
00/13/04
257
THUR8DAY
00/13/04
2104
A
0.02
0.07
0.05
DRY
DILUTED
PROPANE
STD.
00/24/04
200
MONDAY
00/24/04
2342
A
2.74
2.9
0.10
DRY
DILUTED
PROPANE
STD.
10/01/04
275
MONDAY
10/01/04
2440
A
O.CO
0.04
0.04
DRY
DILUTED
PROPANE
STD.
NUMBER -
21
21
21
KHAN -
0.762
0.795
0.032
Sd -
0.731
0.749
0.041
(continued)
-------
IN HOUSE QC SAMPLES - NMOC INSTRUMENT D
QC SAMPLE JULIAN
PREP. OA* DATE1
WEEKDAY ANALYSIS
DATE
07/10/04
07/13/14
07/10/04
07/24/14
07/25/04
07/27/04
00/00/04
00/20/04
00/30/04
09/00/04
09/07/04
09/10/04
09/11/04
09/21/04
09/27/04
10/01/04
192
195
190
20C
207
209
219
241
243
250
251
254
255
205
271
275
TUESDAY
FRIDAY
NOWAY
TUESDAY
WEDNESDAY
FRIDAY
NOMDAY
TUESDAY
THURSDAY
THURSDAY
FRIDAY
MONDAY
TUESDAY
FRIDAY
THURSDAY
MOMMY
07/10/04
07/13/04
07/10/04
07/24/04
07/25/04
07/27/04
00/00/04
00/20/04
00/30/04
09/00/04
09/07/04
09/10/04
09/11/S4
09/21/04
09/27/04
10/01/04
Table 4-33 (cont.)
NNOC
INST
CALC
PPNC
NEAS
PPNC
ERROR
PPNC
QC SAMPLE DESCRIPTION
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
NUMBER -
MEAN -
Sd -
16
1.380
0.942
16
1.450
0.968
0.04
0.00
-0.01
-0.10
0.11
0.22
0.17
0.03
0.04
0.10
0.00
0.10
0.19
.00
0.09
0.04
16
0.069
0.089
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTEO
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
PROPANE
STD.
STD.
STD.
STD.
STD.
8TD.
STD.
STD.
STD.
STD.
STD.
STD.
STD.
STB.
STD.
STD.
(continued)
-------
IN BOUSE QC SMCHilS - NNOC IHSTRUWEMT C
QC SAMPLE JULIAN
mr. mt mm «
WEEKDAY AMALTSIS
DATE
97/13/94
97/19/94
97/24/94
97/25/94
97/27/94
99/99/94
•l/M/M
99/39/94
99/99/94
99/97/94
99/19/94
99/11/94
99/21/94
99/27/94
19/91/94
195 MIMT
191 NOEDAY
2M TUESDAY
207 MBDNBSDAY
299 PMMT
219 NOWAY
241 TUESDAY
243 TNURSDAY
259 TIOMMT
2S1 rHIDAY
254 MOMMY
255 TOMMY
295 FRIDAY
271 THURSDAY
275 MONDAY
97/13/94
97/19/94
97/24/94
97/25/94
97/27/94
99/99/94
99/29/94
99/39/94
99/99/94
99/97/94
99/19/94
99/11/94
99/21/94
•9/27/94
19/91/94
Table 4-33 (cont.)
)IAM
ID •
1214
1237
1329
1397
1391
1557
1919
1945
2991
2992
2119
2139
2315
2414
2449
NHOC
INST
C
C
C
C
C
C
C
C
c
c
c
c
c
c
c
CALC
PPNC
NBAS
PFNC
ERROR
PPNC
QC SAMPLE DESCRIPTION
9.97
9.29
1.95
1.52
1.22
2.53
1.79
9.59
3.99
9.94
3.29
1.49
9.21
1.25
9.99
15
1.431
0.952
9.94
9.29
1.91
1.93
1.39
2.7
1.91
9.54
3.24
1.91
3.31
1.7
9.22
1.34
9.94
15
1.517
0.982
9.97
.99
-9.94
9.11
9.17
9.17
9.15
9.94
9.15
9.97
9.95
9.21
9.91
9.99
9.94
15
0.067
0.072
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
DRY DILUTED
dry diluted
dry diluted
DRY DILUTED
PROPANE STD.
FROPANE STD.
FNOPANE STD.
PROPANE STD.
FNOPANE STD.
FNOPANE STD.
PROPANE STD.
FROPANE STD.
FNOPANE STD.
FROPANE STD.
PROPANE STD.
PROPANE STD.
FROPANE STD.
FROPANE STD.
FNOPANE STD.
(continued)
-------
Mote that only 5 of 82 cases were negative. This suggests there
is a positive bias between the measured and calculated conceni: As
will ba shown below at level of Big^r^r'*ince< th»» me* '""r ->t<"ps
for aach channel are g-r>at»r than zero. A p.^itive bi-i-s ; - *•* ¦ ;lts
shown hare might be a re3nlt of all or soue n* the following:
(a) lot measuring and subtracting an analytical blank rea^.l-^,
(b) lot measuring and correcting for a cm "blanks"
(c) Calibration drift in flowmeters used to mix the QA •J. nnd
(d) Having a bias in the standard mixture used to make the Q* -^espies.
It is fait that the first two factors cause the primary differed - -»<»n in
tka in-houseQC data^
Tables 4-34 and 4-?5 include selected in-house QC sample ii' 1 ^rted
first by channel And then by Radian ID number. The variable in
Tables 4-34 and 4-35 identifies Radian Chrmn^l* A, B, C, and T, « ul F.PA
Channel 1, utile the Rad' Sample Identifi ct loi Numbers (".Y" also
identified in the tables by tha variable ID (see espe^'-tlly T " '35,
sortsd by ID Number). Tabl? 4-36 gives• seler.t-.M statistics or. vV • 5-i Vase
staple statistics. Hote that the skewness i<5 less than 1.000 j1 '
a Marly syMtrical distribution.
Tigvre 4-18 and 4-19 sbow a histogram and a stem and leaf plot of the
is*4ioase QC sample difference data* both of which suggest a nsir-normal
distribution of the sampl® differeucus.
Table 4-37 shows rt*j:i.stUs for the ii V.oujft samp* .• <\'.er~ by
channel* Channels 1 through 5 correspond t»> Channels A tT w* T' In
Tabla 4-38 the data of Table 4-37 are SUQmu r' ^«j4 alO'i£ w! V.' ~ ¦ -il t
statistics. In Table 4-38 Wt is the mean diff^.cence, SD is -^.-iidard
deviation, tSE is the standard error* K the cumber of samples, cu1 t the
statistic (• ffl/(SD//S)). The statistic t is used to test the hypothesis
that th* channel mean ¦ 0. fj^a final coltfstn in Table 4-38 is Stuart's t
* v . rv-
statistic at the appropriate degrees of freedom and the 5 percen*- l^v.-l of
aigttificance* In every case the t statistic (penultimate is
greater than the t in thfe, final coluan, therefore one must rrj^ct the
faiyyetfceaie that the channel aefui difference is zero. The lowr of
4-112
-------
Table 4-33 (cont.)
IN BOOSE QC SAMPLES - NHOC INSTRUMENT E
QC SAMPLE JULIAN
MEEKDAY
ANALYS18
RADIAN
MHOC
CALC
NBAS
BRNOR
QC SAMPLE DESCRIPTION
PREP. DAT
DATE
DATE
ID •
INST
PMC
PPNC
PPNC
mmmmmmm
•
•
!
fl
a
•
ft
1
•
ft
•
ft
——-
mmmmmmm
«
1
1
ft
¦
ft
•
mmmmmmm
• ••)
07/10/04
192
T0E8DAY
07/11/94
1159
E
0.C3
0.00
0.05
DRY
DILUTED
PROPANE
STD.
07/17/04
199
TUESDAY
07/10/04
1259
E
0.05
0.09
0.04
DRY
DILUTED
PNOPANE
STD.
07/24/04
2M
TUESDAY
07/25/04
1320
E
1.95
1.95
.00
DRY
DILUTED
PROPANE
STD.
•7/25 /04
207
HEDME8DAY
07/25/04
1307
E
1.52
1.52
0.00
DRY
DILUTED
PROPANE
STD.
07/31/04
213
TUESDAY
00/01/04
1452
E
2.10
2.34
0.10
DRY
DILUTED
PROPANE
STD.
00/15/04
220
WEDNESDAY
00/10/04
1709
E
0.02
O.Of
0.04
DRY
DILUTED
PROPANE
STD.
00/21/04
234
TUESDAY
00/22/04
1000
E
0.20
0.21
0.01
DRY
DILUTED
PROPANE
STD.
IVM/II
250
THURSDAY
09/07/04
2091
E
3.09
3.17
0.00
DRY
DILUTED
PROPANE
STD.
09/07/04
251
FRIDAY
09/10/04
2092
E
0.94
0.99
0.05
DRY
DILUTED
PROPANE
STD.
NUMBER -
MEAN -
9
1.353
9
1.401
9
0.048
Sd •
0.911
0.934
0.050
-------
Table 4-34 (cont.)
RADID
CHANNEL//
DELTA
ID
CHANL
CASE
42
2446.000
B
0.030
21.000
2. OOI
CASE
43
1214.000
C
0.070
22.000
3. OO
CASE
44
1237.000
C
0.
23.000
3. i;>o|
CASE
43
1328.000
C
-0.040
24.000
3. Ot>
CASE
46
1367.000
C
0. 110
8.000
3. OO
CASE
47
1391.000
C
0. 170
25.000
3. OO
CASE
48
1357.000
C
0. 170
26.000
3. OCX
CASE
49
1919.000
C
0. 150
27.000
3. 00<
CASE
SO
1945.000
c
0.040
28.000
3. OCX
CASE
51
2091.000
c
0. 150
29.000
3. OCX
CASE
32
2092.000
c
0.070
30.000
3. OO*
CASE
33
2110.000
c
0.050
31.000
3. Ooi
CASE
34
2139.000
c
0.210
32.000
3. OCX
CASE
33
2315.000
c
0.010
33.000
3. 00<
CASE
36
2414.000
c
0.090
34.000
3.o3
CASE
37
2446.000
c
0.040
21.000
3.00<
CASE
58
1159.000
D
0.040
35.000
OOi
CASE
39
1214.OOO
D
0.080
22.000
4. OCX
CASE
60
1237.000
D
-0.010
23.000
4. OCX
CASE
61
1328.000
D
-0.160
24.000
4. OOC
CASE
62
1367.000
D
0. 110
8.000
OOC
CASE
63
1391.000
D
0.220
25.000
4. OOC
CASE
64
1557.000
D
0. 170
26.000
4 • OOO
CASE
65
1919.000
D
0.030
27.000
*•000
CASE
66
1945.000
D
0.040
28.000
4. OOO
CASE
67
2091.000
D
0. 100
29.000
OOO
CASE
68
2092.000
D
0.060
30.000
* • ooo
CASE
69
2110.000
D
0. 100
31.000
OOO
CASE
70
2139.000
D
0. 190
32.000
4. ooo
CASE
71
2315.000
D
0.
33.000
4- OOO
CASE
72
2414.000
D
0.090
34.000
* -OOO
CASE
73
2446.000
D
0.040
21.000
4. ooo
CASE
74
1159.000
E
0.050
35.000
5. ooo
CASE
75
1259.000
E
0.040
2.000
3. ooo
CASE
76
1328.000
E
0.
24.000
5. ooo
CASE
77
1367.000
E
0.
8.000
3. OOO
CASE
78
.1452.000
E
0. 160
9.000
5. OOO
CASE
79
-1709.000
E
0.040
14.000
3. OOO
CASE
80
1806.000
E
0.010
15.000
5. OOO
CASE
81
2091.000
E
0. 080
29.000
5. OOO
CASE
82
2092.000
E
0.050
30.000
5. OOO
82 CASES AND 5 VARIABLES PROCESSED.
4-114
-------
Table 4-34. In-House QC Sample Differences, Sorted by Channel.
RAD ID
CHANNEL*
DELTA
ID
CHANL
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
1
2
3
4
3
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
CASE 21
CASE
CASE
CASE
CASE
CASE
CASE 27
CASE 28
CASE
CASE
CASE
CASE
CASE
CASE 34
CASE 33
CASE
CASE
CASE
CASE
CASE
23
24
25
26
29
30
31
32
33
36
37
38
39
40
CASE 41
1199.000
1239.000
1283.000
1284.000
1306.000
1307.000
1366.000
1367.000
1432.000
1303.000
1330.000
1580.000
1601.000
1709.000
1806.000
1828.000
1829.000
1991.000
2184.000
2342.000
2446.000
1199.000
1239.000
1283.000
1284.000
1306.000
1307.000
1366.000
1367.000
1452.000
1503.000
1530.000
1580.000
-1601.000
1709.000
1806.000
1828.000
1829.000
1991.000
2184.000
2342.000
A
0.020
A
0.010
A
0.040
A
0.010
A
0.020
A
0.020
A
0.010
A
0.010
A
-0.030
A
0.070
A
0.
A
-0.010
A
0.040
A
0.040
A
0.020
A
0. 040
A
o. no
A
0. 010
A
0.050
A
0. 160
A
0.040
B
0.030
B
0.020
B
0.030
B
0.010
B
0.010
B
0.050
B
0.010
B
0.070
B
0.
B
0.060
B
0.010
B
0.020
B
0.020
B
0.050
B
0.010
B
0.030
B
0. 100
B
0.010
B
0.070
B
0.060
1.000
1.000
2.000
1.000
3.000
1.000
4.000
1.000
5.000
l.OOO
6.000
1.000
7.000
1.000
8.000
1.000
9.000
1.000
10.000
l.OOO
11.000
1.000
12.000
1.000
13.000
1.000
14.000
l.OOO
15.000
1.000
16.000
l.OOO
17.000
1.000
18.000
1.000
19.000
1.000
20.000
1. 000
21.000
1.000
1.000
2.000
2.000
2.000
3.000
2. 000
4.000
2.000
5.000
2.000
6.000
2.000
7.000
2. 000
8.000
2.000
9.000
2.000
10.000
2.000
11.000
2.000
12.000
2.000
13.000
2.000
14.000
2.000
15.000
2.000
16.000
2.000
17.000
2.000
18.000
2.000
19.000
2.000
20.000
2.000
(continued)
4-113
-------
Table 4-35 (cont.)
RADIO
CASE
42
1991.OOO
CASE
43
1991.000
CASE
44
2184.000
CASE
43
2184.000
CASE
46
2342.000
CASE
47
2342.000
CASE
48
2446.000
CASE
49
2446.000
CASE
50
2446.000
CASE
31
2446.000
CASE
32
1214.000
CASE
33
1214.000
CASE
34
1237.000
CASE
35
1237.000
CASE
56
1328.000
CASE
57
1328.000
CASE
58
1328.000
CASE
59
1391.000
CASE
60
1391.000
CASE
61
1557.000
CASE
62
1557.000
CASE
63
1919.000
CASE
64
1919.000
CASE
63
1943.000
CASE
66
1943.000
CASE
67
2091.000
CASE
68
2091.000
CASE
69
2091.000
CASE
70
2092.000
CASE
71
2092.000
CASE
72
2092.000
CASE
73
2110.000
CASE
74
2110.000
CASE
75
2139.000
CASE
76
2139.000
CASE
77
2315.000
CASE
78
2315.000
CASE
79
2414.000
CASE
80
2414.000
CASE
81
*1159.000
CASE
82
1159.000
B2 CASES AND
5 VARIABLES
CHANNEL/'
A
B
A
B
A
B
A
B
C
D
C
D
C
D
C
D
E
C
D
C
D
C
D
C
0
c
D
E
C
D
E
C
D
C
D
C
0
C
D
D
E
DELTA
ID
CHANL
0.010
18.000
1.000
0.010
18.000
2.000
0.050
19.000
1.000
0.070
19.000
2.000'
0. 160
20.000
1.000
0.060
20.000
2.000
0.040
21.000
1.000
0.030
21.000
2.000
0.040
21.000
3.000
0.040
21.000
4.000
0.070
22.000
3.000
0.080
22.000
4.000
0.
23.000
3.000
-0.010
23.000
4.000
-0.040
24.000
3.000
-0.160
24.000
4.000
0.
24.000
5.000
0. 170
25.000
3.000
0.220
25.000
4.000
0. 170
26.000
3.000
0. 170
26.000
4. 000
0. 130
27.000
3. OOO
0.030
27.000
4.000
0.040
28.000
3.000
0.040
28.000
4.000
0. 130
29.000
3.000
0. 100
29.000
4.000
0.080
29.000
5.000
0.070
30.000
3. 000
0.060
30.000
4.000
0. 050
30.000
5.000
0.050
31.000
3.000
0. 100
31.000
4.000
0. 210
32.000
3.000
0. 190
32.000
4.000
0. 010
33.OOO
3.000
0.
33.000
4. 000
0.090
34.000
3.000
0.090
34.000
4.000
0.040
35.000
4. 000
0. 050
35.000
5. 000
4-116
-------
Table 4-35. In-House QC Sample Differences, Sorted by Radian ID.
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE
CASE 28
CASE 29
CASE
CASE
CASE
CASE
CASE 34
CASE 35
CASE 36
CASE 37
CASE 38
CASE 39
CASE 40
CASE 41
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
23
26
27
30
31
32
33
RAD ID
1199.000
1199.000
1259.000
1259.OOO
1259.000
1283.000
1283.000
1284.000
1284.000
1306.000
1306.000
1307.000
1307.000
1366.000
1366.000
1367.000
1367.000
1367.000
1367.000
1367.000
1452.000
1452.000
1452.000
1503.000
1503.000
1530.000
1530.000
1580.000
1580.000
1601.000
1601.000
1709.000
11709.000
•1709.000
1806
1806
1806
1828
1828
1829
1829
CHANNELS
DELTA
ID
CHANL
000
000
000
000
000
000
000
A
0.020
1.000
B
0.030
1.000
A
0.010
2.000
B
0.020
2. OOO
E
0.040
2.000
A
0.040
3.000
B
0.030
3.000
A
0.010
4.000
B
0.010
4.000
A
0.020
5.000
B
0.010
5.000
A
0.020
6.000
B
0.050
6.000
A
0.010
7.000
B
0.010
7.000
A
0.010
8.000
B
0.070
8.000
C
0. 110
8. 000
D
0. no
8. 000
E
0.
8.000
A
-0.030
9.000
B
0.
9.000
E
0. 160
9.000
A
0.070
10.000
B
0.060
10.000
A
0.
11.000
B
0.010
11.000
A
-0.010
12.000
B
0.020
I2.000
A
0.040
13.000
B
0.020
13.000
A
0.040
14.000
B
0.050
14.000
E
0.040
14.000
A
0.020
15.000
B
0.010
15.000
E
0.010
15.000
A
0.040
16.000
B
0.030
16.000
A
0. 110
17.000
B
0. 100
17.000
1.000
2.000
1.000
2. 000
5.000
1.000
2. OOO
1.000
2.000
1.000
2.000
1.000
2.000
1.000
2.000
1.000
2.000
3. 000
4.000
5. 000
1.000
2.000
5. 000
1.000
2.000
1. 000
2.000
1. 000
2.000
1.000
2.000
1.000
2.000
5. 000
1.000
2.000
5.000
1.000
2.000
1.000
2.000
(continued)
4-115
-------
PROPORTION PER STANDARD UNIT
1.0 +
.9 ~
(
I
.8 +
I
l
.7 *
I
I
• 6 +
i
.5 +
»
I
.4 +
I
I
.3 +
l
l
.2 +
I
I
. 1 ~
COUNT
30
»•*»
****
*»**
-. 16
DELTA
Figure 4-18. In-House QC Sample Differences,
Histogram.
4-118
-------
Table 4-36
In-House QC Sample Differences.
TOTAL OBSERVATIONS: 82
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
DELTA
82
-0.16000
0.22000
0.38000
0.05122
O.00368
0.06066
O.00670
0.30073
1.76487
4-117
-------
Table 4-37- In-House QC Sample Differences, by Channel.
THE FOLLOWING RESULTS ARE FORJ
CHANL - 1.00
THE FOLLOWING RESULTS ARE FOR
CHANL - 4
TOTAL OBSERVATIONS:
21
TOTAL OBSERVATIONS!
16
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
21
-0.030
O. 160
O. 032
0.002
0. 041
0.009
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
16
-O.160
O. 220
O. 069
0. 008
0. 089
O. 022
THE FOLLOWING RESULTS ARE FOR:
CHANL
2. OU
THE FOLLOWING RESULTS ARE FORi
CHANL - 3.
TOTAL OBSERVATIONS:
21
TOTAL OBSERVATIONS!
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
21
O.
0. 100
O. 033
0. 001
0.027
0. 006
N OF CASES
MINIMUM
MAX IMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
9
0.
0. 160
0. 048
0. 002
0. 050
0.017
THE FOLLOWING RESULTS ARE FOR:
CHANL
>. OO
TOTAL OBSERVATIONS:
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
15
-0.040
0.210
0.086
0. 005
0. 072
0.019
4-120
-------
STEM AND LEAF PLOT OF VARIABLE: DELTA
SMALLEST VALUE AT TOP OF PLOT ISs -.1600000
-1 6
***OUTSIDE VALUES***
-O 4
-O 3
-0 11
0 H 0000001111111111111
0 222222233333
0 M 444444444444555555
O H 66677777
0 8899
1 000111
1
1 55
1 66
***OUTSIDE VALUES***
1 7779
2 12
Figure 4-19. In-House QC Sample Differences,
Stem and Leaf Plot.
4-119
-------
Table 4-38 tests the hypothesis that the means of Channel 1 (¦ Channel A)
and Channel 3 (¦ Channel C) are equal. The t statistic for this test is
^X1 ~ *3^
t -
/ (W1 - O S? * (W2 ~ *> 8
V + N2 - 2
with + K2 - 2 degrees of freedom. The table shows that t ¦ 1.201,
whereas the Student's t statistic is * 2.042. Therefore it may be con-
cluded that there is no significant difference in these tests between the
four Radian channels and the EPA Channel E, and that there is a positive
bias in the results. In addition, as noted above, all channels tested
significantly greater than zero.
In doing the two-way analysis of variance for the in-house QC sample
difference data, it was discovered that the memory size of the computer
being used (an IBM PC computer with 256K memory), was insufficient to
analyze all the data in one pass. It was therefore decided to break the
data into 2 data sets with several overlapping ID numbers in the two sets.
For Table 4-39 the ID numbers are for ID numbers 1 through 20. For Table
4-40 the ID numbers range from 16 through 35. The purpose of the analysis
given in Tables 4-39 and 4-40 is to do an analysis of variance (ANOVA) to
determine whether the channel or the sample ID is a factor in determining
the difference DELTA. The model is
DELTA - )i + ID + CHANL + ERROR
As noted in the tables, neither ID nor CHANL is a factor at the 5X level of
significance (i.e., P>0.05) for the data of Table 4-39, whereas ID is a
strong factor in determining the variance of DELTA in Table 4-40.
Table 4-41 lists statistics for in-house QC sample differences by ID
Number. These data are used to investigate why the ID number is a signi-
ficant factor in the ANOVA given in Table 4-38. The results of the analysis
are given in Table 4-42.
V "1 "2
4-122
-------
Table 4-38. Tests of Hypotheses In-House QC Sample Differences, by Channel.
CHANNEL
DI
SD
SEE
H
t
0.975
1 - A
0.032
0.041
0.0089
21
3.596
2.086
2 - B
0.033
0.027
0.0059
21
5.593
2.086
3 - C
0.086
0.072
0.0186
15
4.624
2.145
4 - D
0.069
0.089
0.0223
16
3.094
2.131
5 ¦ E
0.048
0.050
0.0167
9
2.874
2.306
Compare Channel 3 with Channel 1 (largest with smallest)
t ¦ 1.201 with 34 degrees of freedom.
*34,0.975 " 2.042 There is no significant difference.
Conclusions
• There were no significant differences between in-house QC samples
for Channels A, B, C, D, and E.
• There was a significant difference from zero, or bias in the data.
The mean bias for all channels is +0.051 ppmc (Table 4-42).
• All channels significantly greater than zero.
4-121
-------
Table 4-40
In-House QC Sample Differences.
ID 16 through 35.
NUMBER OF CASES PROCESSED!
43
DEPENDENT VARIABLE MEAN} 0.068
MULTIPLE CORRELATIONS .933
SQUARED MULTIPLE CORRELATION: .870
SOURCE SUM-OF-SQUARES
ID
CHANL
0. 186
0.003
ANALYSIS OF VARIANCE
DF MEAN-SQUARE F-RATIO
19
4
O.OIO
0.001
7. 107
.396
• OOO
• 670
ERROR
0.029
21
0.001
4-124
-------
Table 4-39
In-House QC Sample Differences.
ID * 1 through 20
NUMBER OF CASES PROCESSED: 47
DEPENDENT VARIABLE MEAN: 0.038
MULTIPLE CORRELATIONS .797
SQUARED MULTIPLE CORRELATION: .636
SOURCE SUM-OF-SQUARES
ID
CHANL
0.037
0.011
ANALYSIS OF VARIANCE
DF MEAN-SQUARE F-RATIO
19
4
0.002
0.003
1.585
2.335
. 146
.086
ERROR
0.028 23
0.001
4-123
-------
Table 4-41 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ID ¦ 5.00
TOTAL OBSERVATIONS! 2
THE FOLLOWING RESULTS ARE FOR:
ID ¦ 9.00
TOTAL OBSERVATIONS: 3
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.01000
0.02000
0.01500
O.00005
0.00707
0.00500
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
-0.03000
O.16000
0.04333
0.01043
0.10214
0.05B97
THE FOLLOWING RESULTS ARE FORi
ID ¦ 6.00
TOTAL OBSERVATIONS: 2
THE FOLLOWING RESULTS ARE FORi
ID
TOTAL OBSERVATIONS:
10.0
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.02000
0.05000
0.03500
0.00045
0.02121
0.01500
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
2
0.06000
0.07000
0.06500
0.00005
0.00707
O.00500
THE FOLLOWING RESULTS ARE FOR:
ID » 7.00
TOTAL OBSERVATIONS! 2
THE FOLLOWING RESULTS ARE FOR:
ID - 11.0
TOTAL OBSERVATIONS: 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
0.01000
0.01000
0.01000
0.
O.
0.
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
O.
0.01000
0.00500
0.00005
O.00707
O.00500
THE FOLLOWING RESULTS ARE FOR:
ID ¦ S.00
TOTAL OBSERVATIONS: 5
THE FOLLOWING RESULTS ARE FOR:
ID - 12.0
TOTAL OBSERVATIONS: 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
5
0.
0.11ooo
O.06000
0.00280
0.05292
0.02366
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
2
-0.01000
0.02000
0.00500
0.00043
0.02121
0.01500
4-126
-------
Table 4-41. In-House QC Sample Differences, by ID Number.
THE FOLLOWING RESULTS ARE FOR;
ID
1.00
TOTAL OBSERVATIONS*
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.02000
O.03000
0.02500
O.00003
0.00707
0.00500
THE FOLLOWING RESULTS ARE FORi
ID « 2.00
TOTAL OBSERVATIONS! 3
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.01000
O.04000
0.02333
0.00023
0.01528
0.00882
THE FOLLOWING RESULTS ARE FOR*
ID - 3.00
TOTAL OBSERVATIONS: 2
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.03000
0.04000
0.03500
0.00005
0.00707
0.00500
THE FOLLOWING RESULTS ARE FOR:
ID
4.00
TOTAL OBSERVATIONS:
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.01000
0.01000
0.01000
O.
O.
0.
4-125
-------
Table 4-41 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS:
21.0
THE FOLLOWING RESULTS ARE FOR:
ID • 25
TOTAL OBSERVATIONS: 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
4
0.03000
0.04000
0.03750
O.00002
0.00500
O.00250
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
O.17000
0.22000
O.19300
0.00125
0.03536
0.02500
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS!
22.0
THE FOLLOWING RESULTS ARE FOR:
ID - 26.
TOTAL OBSERVATIONS: 2
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
O.07000
0.08000
0.07500
0.00005
0.00707
0.00500
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.17000
0.17000
O.17000
O.
0.
o.
THE FOLLOWING RESULTS ARE FOR:
ID - 23.0
TOTAL OBSERVATIONS: 2
THE FOLLOWING RESULTS ARE FOR:
ID » 27.
TOTAL OBSERVATIONS: 2
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
-0.01000
o.
-0.00500
0.00005
0.00707
0.00500
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
O.03000
0.15000
0.09000
0.00720
0.08485
0.06000
THE FOLLOWING RESULTS ARE FOR:
ID - 24.0
TOTAL OBSERVATIONS: 3
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS:
28.
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
3
-O.16000
O.
-0.06667
0.00693
0.08327
0.04807
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
0.04000
0.04000
O.04000
O.
0.
0.
4-128
-------
Table 4-41 (cont.)
THE FOLLOWING RESULTS ARE FOR:
ID
13.0
THE FOLLOWING RESULTS ARE FOR:
ID 17.0
TOTAL OBSERVATIONS!
TOTAL OBSERVATIONS!
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
2
0.02000
0.04000
0.03000
0.00020
0.01414
0.01000
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.10000
O.11000
O.10300
0.00003
0.00707
0.00500
THE FOLLOWING RESULTS ARE FORi
ID
14.0
THE FOLLOWING RESULTS ARE FOR:
ID
16.0
TOTAL OBSERVATIONS:
TOTAL OBSERVATIONS:
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
3
0.04000
0.03000
0.04333
O.00003
0.00577
0.00333
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
2
0.01000
0.01000
0.01000
o.
0.
o.
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS:
15.0
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS:
19.0
DELTA
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
3
0.01000
0.02000
0.01333
0.00003
0.00577
0.00333
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
0.05000
O.07000
0.06000
0.00020
0.01414
0.01000
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS:
16.0
THE FOLLOWING RESULTS ARE FOR:
ID
TOTAL OBSERVATIONS:
20.0
N OF CA8ES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
2
0.03000
0.04000
0.03500
0.00005
0.00707
0.00500
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
2
0.06000
O.16000
0.11000
0.00500
0.07071
0.05000
4-127
-------
Table 4-42. In-House QC Sample Differences, Ranked by Mean Difference
of ID Number
Rank
ID
DELTA
H
Std. Dev.
Radian
ID
1
32
0.200
2
0.0141
2139
2
25
0.195
2
0.0354
1391
3
26
0.170
2
0.0000
1557
4
29
0.110
3
0.0361
2091
5
20
0.110
2
0.0071
2342
6
17
0.105
2
0.0071
1829
7
27
0.090
2
0.0899
1919
8
34
0.090
2
0.000
2414
9
31
0.095
2
0.0354
2110
10
22
0.075
2
0.0071
1214
11
10
0.065
2
0.0071
1503
12
19
0.060
2
0.0141
2184
13
30
0.060
3
0.0100
2092
14
8
0.060
5
0.0529
1367
15
35
0.045
2
0.007
1159
16
9
0.043
3
0.1021*
1452
17
14
0.043
3
0.0057
1709
18
28
0.040
2
0.0000
1945
19
21
0.038
4
0.0050
2446
20
3
0.035
2
0.0071
1283
21
6
0.035
2
0.0212
2446
22
16
0.035
2
0.0071
1828
23
13
0.030
2
0.0141
1601
24
1
0.025
2
0.0071
1199
25
2
0.023
3
0.0153
1259
26
5
0.015
2
0.0071
1306
27
15
0.013
3
0.0058
1806
28
7
0.010
2
0.0000
1366
29
4
0.010
2
0.0071
1284
30
18
0.010
2
0.0000
1991
31
11
0.005
2
0.0071
1530
32
33
0.005
2
0.0071
2315
33
12
0.005
2
0.0212
1580
34
23
-0.005
2
0.0071
2414
35
24
-0.067
2
0.0833
1159
^his standard deviation seems to be an outlier.
4-130
-------
Table 4-42 ranks the ID numbers by the sice of the difference (DELTA).
Note that ID numbers 20, 29, 26, 25, and 32 are the largest of all the ID
¦aana, •n^ number 24 is the smallest. These means are among the ID
numbers in the AKOVA done in Table 4—41 and explain why the ID factor is
highly significant in the analyses. The conclusions that may be drawn from
the comparisons made in Table 4-42 are the following:
• The ID number with mean DELTA between 0.005 and 0.110 are in-
distinguishable from each other and from zero.
• ID numbers 25, 26 and 32 are significantly greater than ID number
20 or 29 (means - 0.110).
• ID numbers 23 and 24 are significantly less than ID number 29
(mean - 0.110).
Although the analysis done here on the in-house QC sample differences
•kow that the channel is not a factor in explaining the in—house QC
difference, it does indicate that the sample itself is a factor. Moreover
in the data presented here, only the samples in the second set of samples
analyzed show a significant relationship to DELTA. What the information
reveal is that the in-house QC samples in the second batch were not as
carefully prepared as in the first batch, resulting in some "outliers."
Insofar as the NMOC technique itself is concerned, it may be that one
should plot the propane in-house sample difference DELTA in a quality
control chart and whenever the reading goes outside the 20 limits of the QC
plot, then the cause of that kind of phenomenon should be sought, and the
appropriate corrective action taken.
Table 1-4 summarizes the In-House QC Standards data in terms of an
accuracy measurement. It shows the Z error measurement ranging from +3.5Z
to 6.5Z for the four Radian channels and the EPA Channel E. The average
for all channels was +5.72.
4.2.5.2 Other PC Sa«p^«—Three QC samples prepared by the U.S. EPA
Quality Assurance Divison (QAD) were analysed on the EPA Channel E (at QAD)
and several Radian channels. The samples were either pure dry propane or
propane blended with purified dried air. Table 1-5 summarizes the results
of the analyses on these samples. The samples were analyzed first on EPA
4-131
-------
Table 4-41 (cont.)
THE FOLLOWING RESULTS ARE FOR«
ID . 29.0
TOTAL OBSERVATIQNSt 3
THE FOLLOWING RESULTS ARE FOR:
ID - 33.0
TOTAL OBSERVATIONS: 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
0.08000
O.15000
0.11000
0.00130
O.03606
0.02082
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
2
O.
0.01ooo
0.00500
O.00005
0.00707
O.00500
THE FOLLOWING RESULTS ARE FOR*
ID - 30.0
TOTAL OBSERVATIONS! 3
THE FOLLOWING RESULTS ARE FOR:
ID - 34.0
TOTAL OBSERVATIONS! 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
3
0.05000
0.07000
0.06000
0.00010
0.01000
0.00577
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
2
0.09000
0.09000
0.09000
O.
0.
O.
THE FOLLOWING RESULTS ARE FOR:
ID - 31.0
TOTAL OBSERVATIONS! 2
THE FOLLOWING RESULTS ARE FORi
ID - 35.0
TOTAL OBSERVATIONS! 2
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
2
0.05000
O.10000
0.07500
0.00125
0.03536
0.02500
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
DELTA
0.04000
0.05000
0.04500
0.00005
0.00707
O.00500
THE FOLLOWING RESULTS ARE FOR:
ID - 32.0
TOTAL OBSERVATIONS! 2
DELTA
N OF CASES
MINIMUM
MAXIMUM
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
2
O.19000
0.21000
0.20000
0.00020
0.01414
0.01000
4-129
-------
Channel E, followed by one or more analyses on Radian channels at indi-
cated* Table 1-5 does not imply the order in vhich analyses vere done and
that information is not available in the Table* Error is defined as the
NMDC value for the first NMOC analysis minus the RMOC value for the sub-
sequent analysis. The first analysis was always done on EPA Channel E.
The overall abaolute value of the error ranged from zero to 15.38Z,
averaging about 5.82. This is an .accuracy measure fox the measurement of
propane. Since the HMOC measurements made at the sites were of unknown
composition, no absolute measure of accuracy was possible.
4-132
-------
5.0 NMOC DATA ANALYSIS
The NMOC data for 22 sites are found in Tables 2-3 to 2-24. The
tables include the following information:
1.
The sample site identification;
2.
The sample dates;
3.
The Julian date;
4.
The week-day of the sample date;
5.
Radian laboratory identification number;
6.
The sample canister number;
7.
The pressure at the completion of sampling;
8.
The date the sample was analyzed;
9.
The Radian instrument on which the analysis took place;
10.
The NMOC value determined by Radian, ppmC;
11.
The NMOC value determined by EPA, Channel E, ppmC; and
12.
The NMOC value determined by EPA, ESRL by GC, ppmC.
The discussion that follows will first examine statistics for all 22 NMOC
sites, and then the discussion will focus on the several sites
individually.
Figure 5—1 gives a stem and leaf plot of the NMOC data. The plot is a
graph of the frequency of occurrence (horizontal scale) versus sice (ver-
tical scale), and is made according to Tukey®. The overall shape of the
NMOC distribution suggests that the data approximately fit a logarithmic
normal distribution. The stems for this plot are equally spaced and are
numbered from zero to 47 in the left hand column of the plot. For Figure
5-1 there are 60 stems. The leaves are plotted on the right hand side of
the diagram and represent the frequency of occurrence for a particular
stem. The median M and the hinges H are plotted in the vertical area
between the stems and the leaves. The median splits the ordered data in
*Tukey, J. W., Exploratory Data Analysis. Addison-Wesley, Reading, Mass.
(1977).
5-1
-------
Figure 5-1. Complete NMOC Data.
STEM A WD LEAF PLOT OP VARIABLE:
SMALLEST VALOE AT TOP OP PLOT IS:
.6000000E-01
•••on
111223 5 4444
556677888889999999999
0001111111111222221333333
5 55 5555555566666666777777
0000000001111112222222222
5555555555555555566667777
000000000000111UU111222
H 5555555555555555566666666
0000000000000000000000111
5555555555555555566666666
0 00000000000000000 1111111
M 5555555555555555666666666
000000001111111111111 1222
5 55 5555555 5 55 5 55666666666
0000000000011111111111111
5 555555556666777777 888888
0000111111222222 233 33333 4
5 555555666666666667 77 7 888
H 0000001111111222222223333
5555556666666777778899999
0000001111122223333444*44
5 556666667777777 88889999
0000011112222233334
55556667 777788888999999
000001112233444
5535555556667888899
01111112222223 3333 44444
556667777788
1223
556678889999
0111122233444
56777888899
001233444
5678
01222344
56666
IDE VALUES***
889
0000234466999
4447799
4689
000112455
035
1455669
000277
00236
15678
6
1345
9
0
55
1
0
14
3
38
7
16
45
9999
8888889999999999999««
333333333333336444aTi
8888888888999999999 a;
4444444
8888888888999999999 gi
99
99999999
5-2
-------
Table 5-1, Statistics for Complete NMOC Data.
TOTAL OBSERVATIONS: 1375
NMOC
N OF CASES
1575
Ml NIMUM
MAXIMUM
RANGE
0.06000
4.75000
4.69000
0.85284
0.36734
0.60608
0.01634
2.35013
8.13863
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
For Stem and Leaf Plot
4.690 -r 60 - 0.07817 NMOC/Stem
Mean - 0.06 + itfO.07817) - 0.85284 ppmC
•x. ¦ 10.1 steins
Median « 13 stems, from initial value of 0.060
Median - 0.06 + 13(0.07817) - 1.076 ppmC
Mode - 0.06 + 9(0.07817) - 0.7635 ppmC
For a logarithmic normal distribution
mean ) median ^ mode.
For NMOC data (Figure 5-1)
median )> mean > mode
5-3
-------
half and the binges divide each half once more in equal quarters. The
"H-spread" is the difference between the values of the two hinges. The
"inner fences" are defined as follows:
lower fence ¦ lower hinge - (1.5*Hspread)
upper fence ¦ upper hinge + (1,5*Hspread)
Any values outside the inner fences are printed on separate lines and
separated from the inner values by line of test: ***OUTSIDE VALUES***.
In order to put the stem and leaf plot into additional perspective,
refer to Table 5-1 which gives the minimum and maximum and mean values for
the NMOC data. Table 5-1 also shows approximate calculations for the stem
and leaf plot and estimates numerical values for the mean, the median, and
the mode. The table also shows that the NMOC data does not fit the general
requirements of a logarithmic normal distribution because the NMOC estimated
median is apparently greater than the NMOC mean. The logarithmic normal
distribution requires that the mean is greater than the median. Neverthe-
less the expectation is that the data fit a logarithmic normal distribution
better than most other mathematically defined distributions.
Figure 5-2 gives a stem and leaf plot of the NMOC Data Analyzed by the
EPA Channel E, and Table 5-2 gives the statistics corresponding to those
data. The skewness is not as pronounced with the Channel E results as with
the Radian results in Figure 5-1, but only 120 cases are involved in the
construction of Figure 5-2. Figure 5-3 and Table 5-3 present the data
analyzed by EPA Channel GC and both the frequency distribution (Figure 5-3)
and the statistics (Table 5-3) appear to be similar to the results from all
the Radian measurements (Figure 5-1 and Table 5-1).
Figure 5-4 and Table 5-4 present the data of the standard deviations
of pairs of NMOC measurements made by Radian. Each of the Radian NMOC
measurements resulted from an average of two readings. The standard
deviations of «ach of 1372 pairs of readings on each sample are summarized
in Figure 5-4 and Table 5-4, and show a distribution highly skewed with a
very high peak. The asterisks at the right-hand edges of stems 0 through 4
indicate that the actual peak is higher than shown. The mean standard
deviation from Table 5-4 is 0.05425 ppmC, which is about 6.41 of the mean
NMOC reading of 0.85284 (given in Table 5-1). This is an indication of the
within-instrument precision.
5-4
-------
5-5
-------
Figure 5-2. NMOC Data Analyzed by EPA Channel E.
STEM AND LEAF PLOT OF VARIABLE: CHANLE
SMALLEST VALUE AT TOP OF PLOT IS: .2300000
2
38
3
1123379
4
1235599
5
2346799
6
H
01233469
7
01234455669
8
122244466
9
M
000014449
10
0023447
11
022222345556677
12
2233457
13
H
003334556
14
369
15
003456
16
013
17
477
18
29
19
3
***0UT SI
DE
: VALUES***
22
7
36
4
42
58
5-6
-------
Table 5-2. NMOC Data Analyzed by EPA Channel E.
N OF CASES
MlNIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARO DEV
STD. ERROR
SKEWNESS
KURTOSIS
CHANLE
120
0.23000
4.28000
4.05000
1.06383
0.40721
0.63813
0.05823
2.63603
10.47658
5-7
-------
Figure 5-3. NMOC Data Analyzed by EPA GC.
STEM AND LEAF PLOT OF VARIABLE: GC
SMALLEST VALUE AT TOP OF PLOT IS: .6000000E-01
0 68
1 356888
2 011125688899
3 001122223334444555567777788899
4 H 00001111122222333333444444555556666777777889999999
5 01111222222223333444444444556666778888888999999
6 M 00011122334444455566777788899999
7 00011111222233344455666679999
8 000111245555566777888
9 013444677789
10 H 0005555666679
1 1 02333345678999
12 233468
13 013466
14 1258
15 33344799
16 0011355799
17 15668
18 0038
19 05566
•••OUTSIDE VALUES***
20 3579
22 18
23 278
24 68
25 2
27 7
33 5
35 1
37 25
39 4
40 3
47 0
5-8
-------
Table 5-3. NMOC Data Analyzed by EPA Channel GC.
GC
N OF CASES
336
MlNIMUM
0.06000
MAXIMUM
4.70000
RANGE
4.64000
MEAN
0.88205
VARIANCE
0.45506
STANDARD DEV
0.67460
STD. ERROR
0.03680
SKENNESS
2.32995
KURTOSIS
7.18846
5-9
-------
Figure 5-4. Stem and Leaf Plot of the Standard Deviation of Radian
NMOC Measurements.
STEW m LEAF PLOT OF VARIABLE: 5WI
SMALLEST VALUE AT TOP OF PLOT IS: .ININI
i itHHiMtHtMimittttttHUMHHHtinnMttwMiHmMmmmmitMitMmmmmtwmmm*
1 H HIHNHIIWIHHHmiHMHnilNHNiniNIIHiNIIIIimilllHIINniWNIimimiltNINMlDISlINu
2 H ailNIIINNINNIItlllNNIMIIINIIINtlNIIIIINnNHIIHHHNIIHHItllllNtttllMI3MMtMmtM3l88M3»
! litNiiNiiinmiittNtimNMmHimiwKiifNiiiwiaNiiHnMNiiNEimtHKiMiiititoeeimesiJisiei*
~ IHNIIMHIINNNtlMHIIIINtHINt«IMINIIIINMNIIIHIIINHIINIlllNII3IIINIieiMNIIBMaMem232|gt
5 H INNItHHIHtNNMNtllllllMtNtNINMIMIIffMflHMMfttt
6 IIINIIIItlMIIHHNIIIHIMlllllllNNIIIMNIMIMNIinillNINMIINI
7 INMNMHMIMtttNNNMMNmNN
8 e»HNeill«IIHIIIIIIINNNNIIN»l»MN«lll*HI
1 itlMNNNHNMttMHNNIINN
11 IIIBianNMIMWN
3)
JTSIDE VALUES***
12
MIMfliHIMtt
13
MMMMM
14
INIIMM
13
llttl
U
INMM
17
mi
18
Nil
19
II
21
f
21
IN
22
INI
23
II
24
IN
23
II
Ik
HI
27
1
29
1
32
1
37
II
78
8
42
1
43
1
45
1
52
1
64
1
J CASES WITH MSSINB VALUES EXCLUDED FROU PLOT
5-10
-------
Table 5-4. Standard Deviations of Radian NMOC
Analyses.
N OF CASES
MlNIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSI S
SDNM
1372
0.
0.66000
0.66000
0.03995
0.00294
0.05425
0.00146
4.07394
27.24995
5-11
-------
Data from four sites (Dallas, Texas; Clute, Texas; Philadelphia,
Pennsylvania; and Akron, Ohio) were tested for first-order autocorrelation.
In order to test the data, one may plot NMOC on a given day (Y) versus the
NMOC value from the previous day (X). These plots are shown in Figures 5-5
through 5-8. Tables 5-5 through 5-8 are linear regressions of Y vs. X for
the four sites. Slopes of the lines are the first-order autocorrelation
coefficients and are given below:
First-Order
Autocorrelation
Site Coefficient
Dallas 0.221
Clute 0.008
Philadelphia 0.114
Akron 0.103
The coefficients given above indicate that the data are not significantly
autocorrelated. Autocorrelation coefficients range from -1.000 to 1.000
and the closer they are to the terminal values, the more strongly are they
autocorrelated.
Figures 5-9 through 5-30 show histograms of the size distributions of
the NMOC data for each site. The figures also contain statistics for the
data from each site* The means for the individual sites ranged from 0.532
ppmC for Richmond, Virginia to 1.432 ppmC for Memphis, Tennessee. The
overall mean for the complete data set was 0.853 ppmC. The shapes of the
distribution diagrams were similar (skewness about 2., kurtosis greater
than 3.) with notable exceptions at Birmingham, El Paso, Miami, Richmond,
and Wilkes-Barre.
Table 5-9 tests the minimum and maximum data points from each site as
outliers. In no case were the minimum points considered to be outliers by
the Grubbs teat used in Table 5-9. All of the maximum values tested for
each site were declared outliers at the 1Z level of significance by the
Grubbs and Beck test used (see Table 5-9 for the reference), except those
in Birmingham, Miami, Richmond and Wilkes-Barre. The conclusions to be
reached in these tests is that the Grubbs test assumes a random error from
a normally distributed sample population and probably should not be used
with the HMOC data. The NMOC data gathered in the study are not random
5-12
-------
5-13
-------
Figure 5-5
Tim* S«n»s Analysis Plot, First-Order Autoregrvssion.
Dallas, T*;:as Data.
YD
. 000
. 500
1
.000 1.500
2.000
2.500
Z. Ov
3.000
~
1
~
»
1
1
1
•
2.500
~
1
I
1
~
2.000
1
1
~
~
•
1
1
:
1
1
1
1
1 1
j
1.500
~
1
1
1
1
1
:
1
•
1
12
1 -21 1 1
, •
1.000
+
1 1
1
111111 i
1
+
1
1
11
1
1
j
t
1
11
1
1 1
•
. 500
~
1
1 3
1
~
•
. 000
»
1
i
~
. 000 . 500 1. OOO 1. 300 2. OOO 2. 500 7-. OOO
XD
5-14
-------
Table 5-5
Fir«t-Ord»r Autor»gr«s«ion for Dallas, T»::«s Data.
NUMBER OF CASES PROCESSED! 48
DEPENDENT VARIABLE MEANi 1.036
MULTIPLE CORRELATION! .224
SQUARED MULTIPLE CORRELATION! .050
2 2
ADJUSTED R ¦ 1-(1-R >*/DF, WHERE N" 48, AND DF- 46i .029
VARIABLE COEFFICIENT STD. ERROR STD. COEF. TOLERANCE T F (2 TAIL)
CONSTANT 0.811 0.159 O. . 5.09 .OOO
XD 0.221 0.142 0.224 1.00000 1.56 .127
ANALYSIS OF VARIANCE
SOURCE SUM-OF-SQUARES DF MEAN-SQUARE RATIO P
REGRESSION 0.519 1 0.519 2.422 .127
RESIDUAL 9.857 46 0.214
5-15
-------
Figure 5-6
Tim* S»n»s Analysis Flot, First-Ordvr Autorcgrvssion.
Clut*, T»::«s D«t*.
YCL
—4.
2.500 ~
1. OOO
2. 000
3. '.".".1
4.000
1. OOO
2.00U ~
1.500 ~
1.000 +
, 500 +
1 1
1
1
14 221
: 1: 1121
11 1
, 000
500 ~
1.000
000
XCL
:. 000
4. 000
j. '.'00
5-16
-------
Table 5-6
Fir»t-Ord»r Autor»gr»s«ion for Clut«, T»:/DF, WHERE N» 48, AND DF" 46> .OOO
VARIABLE COEFFICIENT STD. ERROR STD. COEF. TOLERANCE
CONSTANT
XCL
0.791
0.008
0.108
0.098
O. . 7.30
0.012 1.00000 .08
P(2 TAIL)
. 000
.937
SOURCE SUM-OF-SQUARES
REGRESSION
RESIDUAL
0. 001
9.352
ANALYSIS OF VARIANCE
DF MEAN-SQUARE F-RATIO P
.006 .937
1
46
0. 001
0.203
5-17
-------
Figure 5-7
Tim* 6»rt«s Analysis Plot, First-Order Autorvgrvssion.
Philadelphia, Pennsylvania Data.
YPH
. 000
4.000 ~
3.000
1.000
:.«.»oo
...ooo
4. OOi'i
2.000 ~
1
1.000 ~
1 1
2 i
l i
i i l
12 1 12 1
4 1211
11 21 1
1
11 1
1 1
1 1
, 000
, ouO
1. ooo
2.000
1.000
XPH
4. OOQ
5-18
-------
Table 5-7
Fir«t-Ord»r Autor«gr»*«ion for Philadelphia.
NUMBER OF CASES PROCESSED! 48
DEPENDENT VARIABLE MEANt 0.923
MULTIPLE CORRELATION. .152
SQUARED MULTIPLE CORRELATIONS .023
2 2
ADJUSTED R - 1-(1-R >#/DF. WHERE N- 48, AND DP- 46. .002
VARIABLE COEFFICIENT STD. ERROR STD. COEF. TOLERANCE T P(2 TAIL)
CONSTANT 0.777 0.160 0. 4 86
XPH °-1" C..3» 0.152 tioGOOO KM
ANALYSIS OF VARIANCE
SOURCE SUM-OF-SQUARES DF MEAN-SQUARE K-RAT10 P
REGRESSION 0.308 1 0.308 1.081 304
RESIDUAL 13.113 46 0.283
5-19
-------
Figure 5-8
Tim* S*ri«B Analysis Flot, First-Ordvr Autorvgression.
At:ron, Ohio D«t«.
YAK
• 000 .500 1.000 1.500 2.000 2.500
3. OOO
~
t
1
~
2.500
t
1
~
1
1
~
•
2.000
1
~
<
•
~
»
•
<
1
1
1.500
~
i
1
~
I
1 1
»
1.000
~
11 1
1
~
«
11 1
1 1
1 1
1
i
•
1
11117 1 1
1 1 1
i ;
. 50«.»
¦+
11
1121 112
1
~
•
1 11
•
. 00«.»
1
~
~
• 000
. 300
1.000 I.500
2 • 000
2. 50«.»
z. •>:
XAt
5-20
-------
Table 5-8
First-Ordvr Autor«gr»«»ion 4or Airon, Ohio Data.
NUMBER OF CASES PROCESSED« 48
DEPENDENT VARIABLE MEAN: 0.749
MULTIPLE CORRELATION* .114
SQUARED MULTIPLE CORRELATION! .013
* *
ADJUSTED R - 1-ll-R )#(N-1)/DF, WHERE N« 48, AND DP" 46» .000
VARIABLE COEFFICIENT STD. ERROR STD. COEP. TOLERANCE T P(2 TAIL>
CONSTANT <•'.*65 o. 130 0. 5.12 .000
XA» 0.107 0.132 0.114 l.OOOOO .78 .442
mNALVSIS OP VARIANCE
SOU! CE 5UM 'JF-SLHJARES DF MEAN-SOUARE F-RATIO P
f--F.tjf Ft.&Ii.-N 1 0.153 .602 .442
F:fc 1 C-U.il. 1 I. 008 4t> 0.254
5-21
-------
Figure 5.9
Akron Ohio NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
.9 -
I
l
.8 *
I
I
.7 +
I
«
• 6 ~
»
¦
.5 ~
.4
t
«
.3 ~
<
1
.2 «¦
1
. 1 ~
*»**
~##»
COUNT
20
•»»»
.23
NMOC
Akron Ohio NMOC D«ta.
TOTAL OBSERVATIONS1 68
2..95
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
68
0.230
2.950
2.720
0.786
0.318
0.364
0.068
2.234
4.956
5-22
-------
Figure 5-10
Atlanta, Georgia NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
! •»»•••
.9 ~ •*«•••
COUNT
- 30
.8 ~
I
.7 +
«
• 6 ~
1
.4 ~
.3 +
. 1 «•
.2 + »••»»»*»*»•»
.21
4.27
NMOC
Atlanta Georgia NMOC Data.
TOTAL OBSERVATIONS1 55
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD OCV
STD. ERROR
SKEWNEM
KURT01I8
55
0.210
4.270
4.060
0.796
0.512
0.*13
0.09A
2.192
10*178
5-23
-------
Figure 5-ii
igham, Alabama NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
.9 +
.8 -
I
I
.7 ~
i
.6 ~
«
.5 ~
S
.4 ~
I
I
.3 ~
«
.2 ~
t
I
. 1 ~
*****
*****
*****
*****
*****
*****
**********
COUNT-
15
**»»*
*****
***** ********** I
****##*****#*»*•*»***»*»« {
. 19 (
2.91
NMOC
Birmingham Alabama NMOC Data.
TOTAL OBSERVATIONS! 56
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
56
0. 190
2.910
2.720
0.992
0.460
0.678
0.091
1.177
0.369
5-24
-------
Figure 5-12
Beaumont, Taxas NMOC Data.
PROPORTION PfeR STANDARD UNIT
1.0 +
.9 ~
I
.8 +
.7
.6
.3
COUNT
30
*•*#*
•*»*•*»***
.4 +
I
.3 *
.2 ~
«
I
. 1 ~
11 (
3.84
NMOC
Beaumont Taxas NMOC Data.
TOTAL OBSERVATIONS» 66
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
8KEWNES8
KURT08IS
66
0.110
3.840
3.7$0
0.89*
0.462
0.680
0.084
1.968
S. 063
3-23
-------
Figure 5-13
Ch«rlott», North Carolina NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
.9 -
.8
.7
.6
.3 ~
.3 ~
J
.2 ~
I
I
. 1 +
COUNy
3(;»
. 18
2.32
NMOC
Charlott« North Carolina NMOC Data.
TOTAL OBSERVATIONS! 60
NMOC
N OF CASES 60
MINIMUM 0.180
MAXIMUM 2.320
RANGE 2.340
MEAN 0.S37
VARIANCE 0.190
STANDARD DEV 0.436
STD. ERROR 0.056
SKEWNESS 2.S64
KURTOSIS 7.542
5-26
-------
Figure 5-14
Chattanooga, T»nn»*»«» NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
COUNT
.9 +
I
.9 +
.7
.6
.3 ~
I
,3 ~
!
I ~
4.06
NMOC
Chattanooga T«nn*ss«« NMOC Data.
TOTAL OBSERVATIONS! 46
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
8KEMNESS
KURT0S18
46
0.520
4.080
3.560
1.345
O.S05
0.7*0
0.1155
2,015
4.349
5-27
-------
Figure 5-15
Clut», T«x*« NMOC D«t«.
PROPORTION PER STANDARD UNIT
1.0 -
.9 «¦
I
.8 +
I
.7 ~
«
I
• 6 ~
i
i
.5 ~
3 ~
«
2 +
1
cou
- 1
.20
NMOC
Clut* T«k«« NMOC Data.
TOTAL OBSERVATIONS! 72
4.31
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
72
0.200
4.310
4.110
0.819
0.356
0.397
0.070
3.161
14.658
5-28
-------
Figure 5-16
Dallas, Texas NMOC Data.
PROPORTION PER STANDARD UNIT COUNT
1.0 ~
~ zs
.9 «¦
I
I J
.8 ~
.7 ~
*»•*
.6 ~
»***
.5 ~ ••••
••••
.4 + •**•••»•
.3
. 1 ~ •*•*••••••#«•»•»•••*»*•*•••»•••••»•• j
! #•»••#•~####~~######•#•##•###~#~##««#### **•*' {
.28 < A ) 2.57
NMOC
Dallas Taxas NMOC Data.
TOTAL OBSERVATIONS: 74
NMOC
N OF CASES 74
MINIMUM 0.280
MAXIMUM 2.370
RANGE 2.290
MEAN 0.968
VARIANCE 0.188
STANDARD DEV 0.433
STD. ERROR 0.050
SKEWNES8 1.212
KURTOSIS 2.399
5-29
-------
Figure 5-17
Paso, T»x*« NMOC Data.
PROPORTION PER STANDARD UNIT COIjmt
1.0 ~
9
«
8
1
~
*«-**
l
l
****
7
+
#~##
l
<
**»»
6
+
***«
1
l
«***
3
~
I
***«
4
(
+
1
3
»
•¥
.2 ~ ##«# «#••
! ####~#»##~#»~####»»# •»•»•»»»»»»• »»»»
. 1 * ##»¦»~##~»~~••#•~~••»*••»~~*##»#~###~#
! ~#•~•~~#»»~*•»»•»»»•»#»»*•~•••••••~• »•••
.28 < ' > 2.43
NMOC
El Paso T»xa« NMOC Data.
TOTAL OBSERVATIONS! 69
NMOC
N OF CASES 69
MINIMUM 0.280
MAXIMUM 2.430
RANGE 2.170
MEAN 0.926
VARIANCE 0.206
STANDARD DEV 0.434
STD. ERROR 0.055
SKEWNESS 0.963
KURTOSIS 0.352
5-30
-------
Figure 5-18
Cincinnati, Ohio NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 -
.9
.8
.7
.6
.5
.4
.3
.2
. 1
COUNT
30
*•«#*
•••••
••••*
•»*•••«**•
12 (
3.93
NMOC
Cincinnati Ohio NMOC Data.
TOTAL OBSERVATIONS!
65
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
63
0.120
3.930
3.810
0.929
0.501
0.708
0.088
2.481
6.821
5-31
-------
Figure 5-19
Fort Worth, NflOC D*ta.
PROPORTION PER STANDARD UNIT
l.O
.9
.8
.7
.6
COUNT
.4
.3
.2 ~
»
I
. 1 +
39
'3.81
NliOC
Ft. Worth NMOC Data.
TOTAL OBSERVATIONS* 69
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
69
0.390
3.810
3.420
0.973
0.307
0.534
0.067
2.245
8.248
5-32
-------
Figure 5-20
Indianapol11, Indian* NMOC Data.
FROPORTION PER STANDARD UNIT
1.0 ~
I
.9 -
I
I
.8 ~
I
I
.7 ~
I
«
. 6 ~
i
i
.5 ~ •••#«#
wWWWWWWWWwWW
.4 ~ *•*#••#•••»*
WWWW«W#V#WW#
. 3 ~ *••••~•»»#••#»<
COUNT
50
>
NMOC
a. 30
Indianapolis Indiana NMOC Data.
TOTAL OBSERVATIONS! 39
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
39
0.220
2.300
2.280
0.804
0.174
0.419
0.053
2.233
6.887
5-33
-------
Figure 5-21
Kansas City, Missouri NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
*****
*****
*****
*****
*****
COUNT
.9 «•
I
.a +
i
.7
I
I
. 6 +
i
.3 ~
. 1
I
*#**#• {
2.76
.29
NMOC
Kansas City Missouri NMOC Data.
TOTAL OBSERVATIONS* 68
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
68
O. 290
2.760
2.470
0.787
0.286
0.534
0.065
2. 104
4.073
5-34
-------
Figure 5-22
Miami, Florid* NMQC Data.
PROPORTION PER STANDARD UNIT
1.0 ~
.9 ~
I
I
.8 ~
I
I
.7 ~
.6 +•
I
.3 *
I
.4 ~
.3 ~
. 1 +
«»**«
. 31 (
COUNT
10
NMOC
Miami, Florida NMOC Data.
3.-70
TOTAL OBSERVATIONS!
31
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
31
0.310
3.700
3.390
1.315
0.685
0.827
0.149
0.779
0.200
5-35
-------
Figure 5-23
Memphis, NMOC Data.
PROPORTION PER STANDARD UNIT
1.0
1
.9
*
+
1
.8
1
+
»
.7
1
1
1
.6
~
*#»»*
t
#»#~*
.3
~
1
1
.4
+¦
»•»***
•
1
.3
*
COI
. 14
4.-73
NMOC
Mew
NMOC Data.
TOTAL OBSERVATIONS:
52
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANSE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
52
0. 140
4.750
4.610
1.432
0.726
0.852
0. 118
1.633
4.049
5-36
-------
Figure 5-24
Orange, T«::a« NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 -
.9 ~
l
I
.a *
i
.7 ~
I
«
• 6 +
COUNT
- 100
.3 ~
)
.4 ~
2 ~
«
I
1 ~
13 (
3.-35
NMOC
Or j
NMOC Data.
TOTAL OBSERVATIONS!
71
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURT06I8
71
O. 130
3.330
3.220
0.693
0.219
0.468
0.036
2.764
12.736
5-37
-------
Figure 5-25
Philadalphia, P»nn«ylvama NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 *
I
.9 *
t
I
.8 ~
»
.7 ~
I
.6 ~ #»#~#
I WWWWWWWWWW
. 3 4.
I WWWWWWWWWW
.4 + ••»••••»••
I
I
.27 < ~ > 3.10
NI10C
COUNT
.3 ~
I
.2 ~
»
. 1 ~
Philadelphia Pennsylvania NMOC Data.
TOTAL OBSERVATIONS! 63
NMOC
N OF CASES 63
MINIMUM 0.270
MAXIMUM 3.100
RAN6E 2.830
MEAN 1.020
VARIANCE 0.277
STANDARD DEV 0.526
STD. ERROR 0.066
SKEWNESS 1.554
KURTOSIS 2.968
5-38
-------
Figure 5-26
Richmond, Virginia NMOC Data.
PROPORTION PER STANDARD UNIT
1.0 «¦
.9 ~
.8 +
I
.7 ~
!
.4 +
I
.3 «•
.4 ~
.2 ~
. 1 ~
COUNT
~ 23
!
•*»•* i
1.-22
,06
<
NMOC
Richmond Virginia NMOC Data.
TOTAL OBSERVATIONS! 64
NMOC
N OF CASES 64
MINIMUM 0.060
1 MAXIMUM 1.220
' RANGE 1.160
MEAN 0.532
VARIANCE 0.057
STANDARD DEV 0.230
STD. ERROR 0.030
SKEWNESS 0.815
KURTOSIS 0.663
5-39
-------
Figure 5-27
Texas City, T»xa« NHOC Data.
PROPORTION PER STANDARD UNIT
1.0 *
.9
.8
.7
.6 -
.5
.4
.3
COUNT
.2 +
i
.1 +
SO
. 14
*^74
NMOC
Tixai City Taxa* NMOC Data.
TOTAL OBSERVATIONS:
69
NMOC
N OF CASES
MINIMUM
MAXIMUM
RAN6E
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
o.
69
140
4.740
4.600
0.924
0.610
0.781
0.094
3.078
11.S40
5-40
-------
Figure 5-28
Wilk««-Barr», Pennsylvania NMOC Data.
PROPORTION PER STANDARD UNIT COUNT
1.0 - 20
i :
.9 ~
i :
. 8 +
I i
.7 ~ I
: :
.6 ~ I
: i
.3 ~ ~»»»» j
I
.4 ~ »~##• ##•~#
i »#•••~•~••••••# •••#* ••••«
. 3 ••»••»•*•«••#*••»•••••*»* •••••
.2 ~ •••••*•»*••••*•»•*•••••••»»•••#••#*»»••• »•••• |
. 11 ( ~
NMOC
TOTAL OBSERVATIONS! 63
NMOC
STANDARD DEV 0.228
5-41
-------
Figure 5-29
Washington, District o-f Columbia NMOC Data.
PROPORTION PER STANDARD UNIT
i.O -
.9 ~
I
(
.a +
.7 ~
i
.6 *
.3 ~
,2 ~
I
, 1 ~
COUNT
40
i 34 (
NMOC
Washington DC NMOC Data.
TOTAL OBSERVATIONS* 63
2.-93
NMOC
N OF CASES
MINIMUM
MAXIMUM
RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
63
0.340
2.930
2.390
0.806
0. 167
0.408
0.051
2.637
iO.157
5-42
-------
Figure 5-30
Mast Palm B»ach, Florida NMOC Data.
PROPORTION PER STANDARD UNIT
i.O ~
I
.9 ~
I
COUNT
~ lOO
.7
.6
.3
.4
.3
. 1
!
~
. 17
2.63
NMOC
M»st Palm Baach Florida NMOC Data.
TOTAL OBSERVATIONS*
72
NI10C
N OF CASES
MINIMUM
MAXIMUM
."RANGE
MEAN
VARIANCE
STANDARD DEV
STD. ERROR
SKEWNESS
KURTOSIS
72
0. 170
2.630
2.460
0.541
0. 118
0.344
0.041
3.392
17.344
5-43
-------
Table 5-9
Tests of the Maiiaoa (Z ) and Miaiaon (X) NMOC Values a* Outllarc
&
Site Code
a
T
T
T
P(T -0)
Pd^o)
a
c
a
a
AKOI
(8
3.837
-0.
86
3.071
<0.01
>0.05
ATGA
55
4.870
-0.
08
2.992
<0.01
>0.05
BAL
56
2.829
-1.
29
3.000
>0.05
>0.05
BMTX
66
4.278
-1.
49
3.061
<0.01
>0.05
CHNC
60
4.548
—0.
19
3.025
<0.01
>0.05
CBTN
46
3.852
-1.
62
2.923
<0.01
>0.05
CLTX
72
5.847
-1.
37
3.092
<0.01
>0.05
ELTX
69
3.357
-1.
23
3.076
<0.01
>0.05
CNOH
65
4.239
-1.
43
3.055
<0.01
>0.05
FWTX
69
5.121
-1.
52
3.076
<0.01
>0.05
ININ
59
4.048
-1.
94
3.019
<0.01
>0.05
NIFL
31
2.884
-1.
15
2.759
>0.05
>0.05
MTN
52
3.894
-1.
16
2.971
<0.01
>0.05
ORTX
71
5.673
-1.
07
3.087
<0.01
>0.05
PHPA
63
3.954
-1.
26
3.044
<0.01
>0.05
RVA
64
2.891
—1 ,
83
3.049
>0.05
>0.05
TCTX
69
4.886
-1.
04
3.076
<0.01
>0.05
VBPA
63
2.250
-1.
78
3.044
>0.05
>0.05
IDC
63
5.206
-1.
42
3.044
<0.01
>0.05
WPFL
72
6.073
-1.
78
3.092
<0.01
>0.05
DLTX
74
3.700
-1.
89
3.102
<0.01
>0.05
KCMO
68
3.695
-0.
31
3.017
<0.01
>0.05
X, < X, < I, ... . ( X , < I • Sorted NMOC Tallies.
I 2 3 1*1 II
T - (X - X) a
n a
T1 « (X, - X) a
II 1
Tq « Critical Statistics, Grnbba, F.E., aad 6. Beck, ''Extension of Saaple
Sizes aad Percentage Points for Significance Teats of Outlying
Observations,'' T«chno»«triai. Vol. 14, No. 4, Not. 1972, pp. 847-854.
I' > Tfl. Xa is aa outlier at tbe tlw perceat lml of sigaificance,
i.e., P(T - 0) <0.05.
A
5-44
-------
data, in the sense that an assignable cause coald probably be found for
each large value of HMOC aeasured. Further as discussed above, the HMOC
data sppear to approximate a logarithaie noraal distribution froa which
large values would be expected, hence the right-handed "tail" in the
lognoraal distribution (large positive skevness). This is further sup-
ported by the fact that the saae .sites for which the aaxiaua value was not
found to be an outlier by the Grubbs and Beck test were those whose skew-
ness factors were less than 1.0. The conclusion may be reached that the
Grubbs and Beck test for outliers should not be applied to the HMOC data
set. Further the assertion may be Bade that none of the present HMOC data
points should be declared to be outliers.
The Grubbs and Beck test could be run on the logarithaie of the HMOC
values instead of the HMOC values theaselves. Unless there is a specific
reason, e.g., known or suspected aalfunction of the equipaent, to suspect
the aaiiaua or the ainiaua datua as an outlier, the datua should be re-
tained as a legitiaate part of the data set.
5-45
-------
6.0 RECOMMENDATIONS
Based on the experiences and results of the 1984 NMOC study,
certain recommendations redound. The general categories into which
these recomaendations fall are equipment design and recomaendations,
sample stability determinations, repeated analyses considerations, NMOC
speciation study, and additional treataent of the 1984 NMOC data. These
categories are discussed briefly below.
6.1 EQUIPMENT DESIGN AND RECOMMENDATIONS
The scheduling, shipping, analytical requireaents, and sample can
preparation requireaents dictate that a ainiaua of 10 cans per site be
available prior to, and during, the period of the study. Fewer than
10 cans per site will probably cause additional cost in personnel
overtime charges in order to keep the project on schedule or to perform
all the tasks required.
Two key equipment design changes are recomaended. First, weld the
sample tube into the sample can, rather than press fit the tube. An
additional sleeve could be welded around the tube itself and bonded to
the can, better to ensure a leak-free joint and to provide additional
structural strength to this connection. The second design change in the
equipment is to provide a sleeve which is permanently fixed to the
sample shipment container lid, similar to a round biscuit cutter that
fits down over the sample line and valve on the top of the sample can.
A foam and/or 1 rubber gasket should be attached to the sleeve to provide
a tight, cushioned seal between the sleeve and the can firmly holding
the can in one place during shipaent.
Additionally, it is recomaended that the 6-port sample injection
valves for the gas chromatograph be replaced with similar valves of
higher temperature rating. This is recomaended to allow the valve to be
maintained at a temperature above the boiling point of water (100°C).
6-1
-------
6.2 SAMPLE STABILITY
Prior to beginning a future NMOC study at various sites, a study of
sample stability should be conducted. The purposes of this series of
tests are two-fold: 1) to determine any potential difference in the
NMOC value that results from waiting several time intervals between the
initial sampling day and the day.^ on which the analysis is done, and
2) to see if there is a detectable difference in NMOC when the time
interval for the second and third analysis is different. A suggested
experimental design is presented in Table 6-1. Twelve simultaneous
ambient air samples are to be taken at a sample location suspected of
having a NMOC concentration >1.0 ppmC. Table 6-1 shows the days on
which can pressure readings are noted and NMOC analyses are performed.
It is recommended that the barometric pressure and temperature be
recorded on each day of the sampling and analysis program, and that all
the analyses be done on the same channel, preferably by the same
operator.
6.3 REPEATED ANALYSES
The 1984 NMOC study showed that the second NMOC analysis performed
on a sample produced a larger measured NMOC reading than the first NMOC
analysis. It is proposed that in future studies each sample is analyzed
three times, on three channels -- either two Radian channels and one EPA
channel (to get interlaboratory variance) or on three Radian channels.
It is further proposed that the experimental design assure a balance of
readings for each channel pair, e.g., A-A, A-B, A-C, A-D, B-A, B-B, B-C,
B-D, C-A, C-B, etc., for however many channel pairs are involved in the
study. The gxperimental design should also balance the number of
determinations that are the first, second, and third analyses out of the
sample can. These data from all the sample sites may be combined with
the sample stability data described above to help reach possible
conclusions from the study.
Care should be taken to record the date, the time of day, the
relative humidity, the temperature, the barometric and gauge pressure at
the sampling site, and the same information at the point of each
analysis from the sample can.
6-2
-------
Tabla 6-1. MMOC Saapliag and Aaalyaia Stability Study
ililfnw" '-^i- Caaniatara —
Day #1 #2 #3 #* #S #6 #7 #« #9 #10 #U #12
1
8 P*
P P,Ab
P.A
P
P P P
P
P
P
P
2
T
P.A
P.A
3
V
P.A
P.A
P.A P,A
4
T
P.A
P.A
3
F
P.A
P.A
P.A
P.A
P,A
P.A
6
S
7
s
a
M
P»A,
P.A
9
T
10
V
11
T
P.A, P,A
12
r
13
t
14
s
13
II
P.A
P.A
16
T
17
V
P.A.
P.A.
IS
T
19
r
P.A P,A
20
s
21
s
22
H
23
T
24
V
25
T
26
r
27
s
26
s
29 II
30 T P,A P,A P P P P P P P.A P,A P.A P,A
S» ayabal P iadicatM tha day a barcaatric nt Maple-cm gaaga pmaur*
raadiag ia datataiaad.
*Tha ryabal A iadicataa tha day aa aaalyaia ia daaa. Praaaaca ia racardad
bafora tha aaalyaia ia doaa.
6-3
-------
Each NMOC determination in the 1984 study was the average of
two consecutive analyses. Only the mean of the two analyses was
recorded. It is recommended to tabulate both the first and second
analysis for each NMOC determination, so that a more definitive analysis
of the effect of can pressure on the measured NMOC reading may be
assessed. It is suggested that the NMOC determinations in future data
bases be recorded to three "significant" figures past the decimal point,
and that the standard deviations be recorded to three "significant"
figures. For reporting purposes, the final NMOC values will be recorded
to two figures past the decimal point.
6.4 NMOC SPECIATION BY GC/MS
Identification of compounds that make up the NMOC readings is of
interest in several ways. There may be some effort to identify a source
of a component in an NMOC sample, or the presence of certain compounds
may affect such things as modeling NMOC composition at various locations
in a specific region. In particular identification, the aldehyde and
ketone composition of NMOC samples may be of interest. The presence of
certain components in NMOC may have an effect not only on smog or haze
potential, but also on the expected character (mean, standard deviation,
skewness, kurtosis, and frequency distribution of measured NMOC concen-
trations) of the NMOC readings at a specific location.
Ten sites have been selected for speciation analyses by GC/MS.
These sites are listed below and cover a wide range of mean NMOC value,
standard deviation, skewness, and kurtosis in the 1984 NMOC study.
Table 6-2. Proposed Sites for Speciation by GC/MS
Birmingham, Alabama
Charlotte, North Carolina
El Paso, Texas
Miami, Florida
Memphis, Tennessee
Philadelphia, Pennsylvania
Richmond, Virginia
Texas City, Texas
Wilkes-Barre, Pennsylvania
Washington, District of Columbia
6-4
-------
It is proposed that on the sane day in the first week of July, August,
and September 1985 duplicate saaples are taken at the 10 sites listed in
Table 6-2. One of the duplicates is analyzed on the GC/MS using a
capillary column coated with a polar Material, and the other duplicate
sample froa each of the 10 sites is analyzed on the GC/MS using a
nonpolar coating on a capillary colusui. Speciation and quantitation of
major components will be done. Following the GC/MS analysis, NMOC
determinations from the duplicate sample cans are made by the standard
procedure on at least two additional Radian channels.
These data will be compiled along with meteorological data of
temperature, humidity, barometric pressure, and average wind speed and
direction at the time of sampling.
6.5 ADDITIONAL 1984 NMOC DATA ANALYSIS
Additional analysis of the 1984 NMOC data should be made with the
speciation data. The results should be examined as a function of NMOC
concentration. For Wilkes-Barre, Pennsylvania, all the NMOC measure-
ments were found to be less than 1.0 ppmC. Several sites had NMOC
measurements between 1.0 ppmC and 2.0 ppmC, and some sites had readings
even higher. It would be instructive to see if the swasured NMOC level
relates to the composition of the organic components. Moreover, is
there any similarity in composition of all the readings over 3.0 ppmC,
or over 2.0 ppa£, or less than 1 ppmC?
Geographical location should be examined relative to the NMOC
speciation. Does the composition of NMOC, perhaps at several NMOC
levels at West Palm Beach, Florida relate to the NMOC composition at
Miami, Florida? Is the composition of the NMOC in the concentration
range <1.0 ppm£ independent of geographical location?
Additional analysis of the 1984 NMOC speciation data is needed in
order to get a better understanding of NMOC phenomna. Predictive
models to build atmospheric behavior of NMOC materials in the atmosphere
depend on the chemical and physical nature of the NMOC Itself. The 1984
NMOC speciation data should be analyzed as quickly as possible to allow
6-5
-------
a better understanding of the phenomena involved, and to permit the
design of more fruitful and efficient studies in the future in order to
understand NMOC behavior.
Additional data analysis of the 1984 NMOC data is possible and may
be fruitful. To investigate further the effect of a second analysis on
the measured NMOC data, it would be possible to return to the original
laboratory notebooks and data sheets and to record both NMOC determi-
nations from which each of the reported NMOC values were determined.
Moreover, on those analyses which were repeated, several were repeated
for a third time. It would be instructive to identify the channels and
the order of the analysis to see if the third analysis had resulted in a
signficantly different measured NMOC value than the second or first
analysis. Additional information on the effect of repeated analyses in
other pairs of channels, e.g., B-C, C-B; A-D, D-A; A-C, C-A; etc. can be
gleaned from the data base to supplement the analyses already done with
the combinations reported above in the section on repeated analyses,
Section 4.2.3.2.
Recommendations for further analysis of the 1984 NMOC data are
based on perceived utility of the data or potential for significantly
increasing understanding of the NMOC phenomenon in a cost effective way.
The highest priority for further analysis of the 1984 NMOC data should
be placed on the speciation results. Whatever information can be
gleaned from the 1984 study would be helpful in planning and conducting
the 1985 or future NMOC studies. The speciation information would also
aid in understanding the NMOC phenomenon.
Retrieving additional information on repeated analyses from the
1984 data should be the second priority item. Additional information
gained would not only assist in planning future studies, but would serve
as a better basis for making judgments on the precision and validity of
the current NMOC method.
Studying 1984 meteorological data relative to the 1984 NMOC data
would further aid in understanding the NMOC phenomenon.
There is some preliminary evidence that may indicate that NMOC
peaks occur very close together (i.e., near the same date) between
sample locations. Table 6-3 shows apparent peaks in the NMOC data near
Julian dates 228 and 251. The data strongly suggest that peak NMOC
6-6
-------
Table 6-3. Peak NMOC Values
Julian*
NMOC
Julian
NMOC
Date
Site
PP«C
Date
Site
ppmC
228
AKOH
2.45
250
AKOH
2.95
228
ATGA
1.64
250
ATGA
1.86
234
BMTX
3.84
255
BMTX
1.18
229
BAL
2.49
255
BAL
2.30
222
CHNC
1.35
264
CHNC
2.52
223
CHTN
3.35
254
CHTN
1.59
227
CNOH
1.90
251
CNOH
2.94
228
CLTX
1.47
254
CLTX
1.17
223
DLTX
1.63
250
DLTX
1.28
230
ELTX
1.44
251
ELTX
1.25
227
FVTTX
2.09
249
FWTX
2.18
228
ININ
2.50
250
ININ
N.A.P.
228
KCMO
N.A.P.b
249
KCMO
2.04
229
MTN
2.46
244
KCMO
2.76
230
MIFL
1.93
256
MTN
4.03
230
PHPA
N.A.P.
257
MTN
4.75
230
RVA
N.A.P.
250
MIFL
2.60
228
TCTX
1.82
250
PHPA
N.A.P.
228
WDC
N.A.P.
251
RVA
0.95
227
ORTX
1.38
242
TCTX
4.36
226
WPFL
0.97
251
WDC
1.10
228
WBPA
N.A.P.
242
ORTX
3.35
249
WPFL
1.30
250
WBPA
N.A.P.
aJulian date 230 = 8/17/84
250 « 9/06/84
bN.A.P. - no apparent peak ±5 days.
6-7
-------
values occur at several geographical locations on the same day, which is
probably related to temperature and wind conditions (and possibly
barometric pressure) at the site. A more detailed study of this
possible phenoswnon as a function of meteorological conditions warrants
further study. This recommendation is placed on a third priority level
because of the necessity to collect meteorological information (not
currently available in the 1984 NM0C data base).
6-8
-------
APPENDIX A
EPA Document
"Determination of Atmospheric Nonmethane Organic Compounds
(NMOC) by Cryogenic Preconcentration and Direct Flame
Ionization Detection"
-------
DETERMINATION OF ATMOSPHERIC
NONMETHANE ORGANIC COMPOUNDS
(NMOC) BY CRYOGENIC PRECONCENTRATION
AND DIRECT FLAME IONIZATION DETECTION
/ A \
im)
December 1983
QUALITY ASSURANCE DIVISION
ENVIRONMENTAL MONITORING SYSTEMS LABORATORY
OFFICE OF RESEARCH AND DEVELOPMENT
U. S. ENVIRONMENTAL PROTECTION AGENCY
RESEARCH TRIANGLE PARK, NORTH CAROLINA 27711
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DETERMINATION OF ATMOSPHERIC NONMETHANE ORGANIC
COMPOUNDS (NMOC) BY CRYOGENIC PRECONCENTRATION
AND DIRECT FLAME IONIZATION DETECTION
ENVIRONMENTAL MONITORING SYSTEMS LABORATORY
OFFICE OF RESEARCH AND DEVELOPMENT
U.S. ENVIRONMENTAL PROTECTION AGENCY
RESEARCH TRIANGLE PARK, NORTH CAROLINA 27711
DECEMBER 1983
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CONTENTS
Page
INTRODUCTION 1
1. APPLICABILITY 4
2. PRINCIPLE 4
3. PRECISION AND ACCURACY 5
4. APPARATUS 6
4.1 Direct Stapling 6
4.2 Staple Collection In Pressurized Canisters .... 6
4.3 Saaple Canister Cleaning 7
4.4 Analytical Systea 8
4.5 Other Materials 9
5. SUPPLIES 9
5.1 Helium 9
5.2 Combustion Air 10
5.3 Hydrogen 10
5.4 Propane Calibration Standard 10
5.5 Zero A1r 10
5.6 Cryogen 10
6. SYSTEM DESCRIPTION 10
6.1 Direct Sampling 10
6.2 Saaple Collection 1n Pressurized Canisters .... 10
6.3 Analytical Systea 13
1
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CONTENTS
Page
7. PROCEDURE , 18
7.1 Recommended Procedure for Canister Cleaning .... 18
7.2 Procedure for Collection of Samples 1n Canisters. . 19
7.3 Analysis Procedure 20
8. CALIBRATION 23
8.1 Calibration Frequency 23
8.2 Calibration Standards 23
8.3 Calibration Procedure 24
9. METHOD MODIFICATIONS 24
9.1 Sample Metering System 24
9.2 TOC Analyzer 25
9.3 Range 25
9.4 Alternate Carrier Gas 25
9.5 Trap Heating 25
10. REFERENCES 26
APPENDIX 27
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FIGURES
Figure Pag«
1 Schematic of Analysis System Showing Three Sampling
Modes 28
2 Sample System for Collection of Integrated Field
Samples 29
3 Cryogenic Sample Trap Dimensions 30
4 Canister Cleaning System 31
5 Construction of Operational Baseline and Corresponding
Correction of Peak Area 32
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INTRODUCTION
A variety of photochemical dispersion models have been developed to
describe the quant1tativa ralatlonshlps batwaan ambient concentrations of
pracursor organic compounds and subsaquant downwind concantrations of
ozona.1 An Important application of such models Is to datamlna tha
dagraa of control of such organic compounds that Is nacassary In a par*
tlcular araa to achlava compliance with applicable Mblent air quality
standards for ozona.1'2 For this purposa, tha models raqulra input of
data on aablent concantrations of nonaethane organic coapounds (NMOC).
Tha aora alaborata thaoratlcal aodals ganarally raqulra datallad
organic spaclas data.* Such spaclas data aust ba obtalnad by analyses of
air saaples with a sophisticated, siultlcomponent gas chroaatographjic
(GC) analysis systea.2'2 Slnplar empirical aodals such as tha Empirical
K1nat1c Modeling Approach (EKMA)1 require only total NMOC concentration
data, specifically tha average total NMOC concentrations from 6 a.m. to
9 a.m. dally.2
For aany EKMA applications, NMOC aeasureaents are required at urban,
center-city-type sites.2 The aoderately high NMOC concentrations typi-
cally found at such urban sites aay be adequately aeasured by commercially
available continuous (or sealcontinuous) NMOC analyzers.2'4 However, if
transport of precursors Into an area Is to be considered, then NMOC
aeasureaents upwind of the area are necessary.1 Upwind NMOC concentra-
tions are likely to be very low (less than a few tenths of 1 ppm) and
therefore aay not be accurately aeasured by conventional NMOC analyzers.2'4
NMOC GC species aeasureaents can be used by suaalng the various components
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to obtain a total NMOC concentration.2 But for EKMA, the species data
are not needed, and the cost and complexity of species analysis 1s very
high.
The method described herein can be used to obtain the requisite
upwind, as well as the urbany NMOC Measurements.8'6 This Method 1s a
compromise between the continuous and GC methods mentioned above. It
combines the cryogenic concentration technique used 1n the GC method for
high sensitivity with the simple flame Ionization detector (FID) for
total NMOC measurements without the complex GC columns necessary for
species separation. And because of the use of helium carrier gas, the
FID has less response variation to various organic compounds than a
conventional NMOC analyzer with air carrier or direct sample Injection
Into the FID.
This method can be used either for direct, 1n situ ambient measure-
ments or for analysis of Integrated samples contained 1n metal canisters.
Making direct measurements at the monitoring site avoids the potential
sample loss or contamination problems possible with the use of canisters.
However, the analyst must be present during the 6 to 9 a.m. period, and
repeated measurements (approximately six per hour) must be taken to obtain
the 6 to 9 a.m. average NMOC concentration. A separate analytical system
and analyst (or a conventional NMOC analyzer) 1s needed for each monitoring
site. (Further development of the method may allow for automatic operation
for on-line semi-continuous analysis in the future.)
The use of sample canisters allows the collection of integrated air
samples over the 6 to 9 a.m. period by automated samplers at unattended
monitoring sites. One analytical system can then analyze the samples
from several monitoring sites. Degradation or contamination of the air
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••*•1 Monitoring sites. Degradation or contamination of the air
•*P * by the canister may be a potential problem, but tests Indicate
the use of properly cleaned stainless steel canisters, as described
procedure, is viable and adds relatively little additional vari-
ability to the method.7
possible compromise for regional Monitoring Is to locate the
alytlcal system at the upwind site for direct MeasureMents of the low
upwind NMOC concentrations, while Integrated canister saMples are collected
the urban Monitoring sites. Direct MeasureMents may then be carried
out during the 6 to 9 a.m. period, after which the canister samples from
the urban sites a^y be brought to the upwind site for subsequent analysis.
The higher concentrations at the urban sites will Minimize the effect of
losses or contaMlnatlon of the canister saMples, while the low, upwind
concentrations are Measured directly. All MeasureMents can be Made with
• single analytical system. The canister saMples should be analyzed the
saMe day they are collected, although there 1s somo evidence that the sample
May be stable for several days In the stainless steel canisters when stored
at rooM temperature.
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DETERMINATION OF ATMOSPHERIC NONMETHANE ORGANIC COMPOUNDS (NMOC) BY
CRYOGENIC PRECONCENTRATION AND DIRECT FLAME IONIZATION DETECTION
1. APPLICABILITY
This method Is applicable to measurement of concentrations of total
gaseous nonmethane organic compounds (NMOC) in the atmosphere, for use with
atmospheric photochemical Models such as EKMA.1 Measurements may be
obtained either In situ, or by subsequent analysis of Integrated air
samples collected over a fixed time period such as the 3-hour (6 to
9 a.m.) measurements specified for EKMA. Collection of Integrated samples
also allows for remote analysis of samples from multiple sites. The high
sensitivity and low detection limit of the method makes 1t suitable for
upwind measurements, while the wide dynamic range allows analysis of
urban air samples as well.
2. PRINCIPLE
An air sample is taken either directly from the ambient air at the
monitoring site, where the analytical system 1s located, or from a sample
canister filled previously at a remote site. A fixed-volume portion of the
sample 1s drawn at a low flow rate through a glass beaded trap cooled to
approximately -186° C. This temperature 1s such that all organic compounds
in the sample other than methane are collect (either via condensation or
adsorption) In the trap, while methane, nitrogen, oxygen, etc., pass
through. The system 1s dynamically calibrated so that the volume of
sample passing through the trap does not have to be quantitatively measured,
but must be precisely repeatable between the calibration and analytical
phases.
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After the fixed volume air sample has been drawn through the trap,
the helium carrier gas Is diverted to pass through the trap In a
direction opposite to that of the saiiple flow and Into a flame Ionization
detector (FID). When the residual air and methane has been cleared from the
trap and the FID baseline becomes steady, the cryogen Is removed and the
temperature of the trap Is ralsetf to approximately 90° C. The organic
compounds collected In the trap revolatlllze and are carried Into the FIO,
resulting in a response peak or peaks from the FID. The area of the peak
or peaks Is Integrated, and the Integrated value 1s translated to concen-
tration units via a previously obtained calibration curve relating inte-
grated areas with known concentrations of propane.
The cryogenic trap simultaneously concentrates the nonmethane organic
compounds while separating and removing the methane from air samples. Thus
the technique Is direct reading for NMOC and, because of the concentration
step, Is more sensitive than conventional NMOC analyzers. Also, operation
of the FID detector with a helium carrier results In less response varia-
tion to different organic compounds than Is observed with conventional
NMOC analyzers having air carriers or direct air Injection. Quantitative
trapping has been shown for most compounds tested.8,7
3. PRECISION AND ACCURACY
The overall precision estimate for the method, Including the effect of
collecting and storing the ambient samples in stainless steel canisters,
was found to be 4.5%.7
Because of the number and variety of organic compounds Included in the
NMOC measurement, determination of absolute accuracy Is not practical.
Based on comparison with panual fiC speciation analysis—a technique re-
garded as the best available for measurement of atmospheric organic
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compounds--the proportional bias was determined to be *5.7%, with a neglig-
ible fixed bias.7 Although the 5.7% bias was statistically significant,
no correction factor 1s proposed for the method because this bias is
modest and the speciatlon techlque 1s not an absolute standard.
Experimental tests Indicate some degree of FID baseline shift from
water vapor 1n ambient samples, which could result 1n positive bias,
variability, or both. These problems can be adequately minimized by care-
ful selection of the Integration termination points and appropriate base-
line corrections, as described In Section 7.3.
4. APPARATUS
The following components and materials are required or recommended.
Sources for the more specialized components are given in the Appendix.. An
overall schematic diagram of the analytical system 1s shown In Figure 1,
and a suggested system for collecting ambient samples In canisters is shown
1n Figure 2. The cryogenic trap 1s specified 1n figure 3, and a canister
cleaning system 1s shown 1n Figure 4.
4.1 Direct Sampling
4.1.1 Sample manifold or sample inlet line, to bring air sample into
the analytical system.
4.1.2 Vacuum pump or blower to draw air sample through sample mani-
fold or Inlet line with a low residence time.
4.2 Sample Collection In Pressurized Canisters
4.2.1 Sample canisters. Stainless steel pressure vessels of 4 to
6-L volume having electropollshad interior and Integral, leak-
free shut-off valves (see Appendix). Each canister should have
a unique Identification number.
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4.2.2 Sample pump. Stalnltss steel, Metal Bellows (model MB-151 or
equivalent) capable of 2 atmospheres (200 kPa, 30 pslg) mini-
mum output pressure. Pump nust be clean and uncontaminated by
oil or organic compounds.
4.2.3 Auxiliary pump. Inexpensive vacuum pump to draw air sample
through Inlet line to sample pump with a low residence time.
4.2.4 Pressure gauge. 0-200 kPa (0-30 pslg).
4.2.5 Shut-off valve.
4.2.6 Stainless steel orifice or short capillary- Capable of main-
taining a substantially constant flow over the sampling period
(see Section 6.2).
4.2.7 Needle valve. Fine metering valve to adjust flow rate, of
sample from canister during analysis.
4.3 Sample Canister Cleaning
4.3.1 Vacuum pump. Capable of evacuating the sample canisters to
an absolute pressure of >5 mm Hg.
4.3.2 Vacuum manifold. A metal manifold with connections for several
canisters to be simultaneously cleaned.
4.3.3 Shut off valve. A low leakage vacuum valve placed in-line
between the vacuum pump and the vacuum manifold.
4.3.4 Vacuum gauge. Capable of measuring the vacuum In the vacuum
manifold to an absolute pressure of 1 mm Hg.
4.3.5 Cryogenic trap. U-shaped open tubular trap cooled with liquid
nitrogen or argon, to prevent contamination from back diffusion
of oil from the vacuum pump.
4.3.6 Pressure gauge. 0-50 pslg (0-345 kPa), to monitor canister
pressure.
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4.3.7 Flow Control valve, to regulate flow of zero air into canisters.
4.4 Analytical System
4.4.1 FID detector system, Including flow controls for the FIO fuel and
air, temperature control for the FIO block, and signal conditioning
electronics.
4.4.2 Chart recorder, compatible with the FIO output signal, to record
4.4.3 Integrator, electronic, compatible with the FID output signal and
capable of Integrating the area of one or more peaks and calculating
corrections for baseline drift.
NOTE: Items 4.4.1, 4.4.2 and 4.4.3 are conveniently provided by a
late-model laboratory chromatograph such as the Hewlett Packard
model 5840A or similar. See also sections 6.3.8 and 6.3.11.
The chromatograph may also provide other convenient features
such as an oven for warming the trap and valve, and automatic
control of the valve and Integrator (see below).
4.4.4 Six-port chromatographic valve. Selscor model VIII (pneumat-
ic), valco 9110 (manual), or equivalent.
4.4.5 Trap. Fabricated from a 30-cm length of 0.3175 cm (1/8 inch)
o.d., 0.21 cm l.d. chromatographic grade stainless steel tubing
to the dimensions shown In Figure 3. A 10 to 15-cm section in
the center of the trap 1s packed with 60/80 mesh glass beads,
held In place with dlmethyldlchlorosllane-treated glass wool at
both ends.
4.4.6 Cylinder pressure regulators. Standard, two-stage cylinder
pressure regulator, with pressure gauges, for helium, air and
hydrogen cylinders.
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4.4.7 Low pressure regulators. Single stage, with pressure gauge, to
Maintain constant helluM carrier gas and hydrogen flow rates.
4.4.8 Needle valve. Fine Mterlng valve to adjust saiiple flow rate
through trap.
4.4.9 Cryogenic Oewar, to hold liquid cryogen; sized to contain
subnerged portion of trap.
4.4.10 Absolute pressure gauge. 0-200 torr, Wallace-Tiernan nodel
61D-ID-0200, or equivalent.
4.4.11 VaccuM reservoir. Vacuun tank of about 2-L capacity.
4.4.12 Gas purifiers. Gas fcrubbers containing DrleHte or silica
gel and 5A Molecular sieve to remve Moisture and organic
Impurities In the helluM carrier gas, air, and hydrogen.
4.4.13 Shut-off valves (2). Leak free.
4.4.14 Vacuus pump. Capable of evacuating the vacuus reservoir to
an appropriate vacuum that allows the desired sanple volume
to be drawn through the trap.
4.4.15 Trap heating systesi. Chronatograph oven, hot water, or other
neans to heat trap to 70 - 90° C.
4.5 Other Materials
4.5.1 Various connecting tubing and plusibing fittings. All such
1teMS in contact with the saiiple, analyte, or support gases
prior to analysis should be stainless steel or other inert
Metal. Do not use a plastic or Teflon tubing or fittings.
4.5.2 Various Mechanical Mounting fixtures as necessary.
5. SUPPLIES
5.1 HelluM. Cylinder of high purity grade helluM.
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5.2 Combustion air. Cylinder of zero-grade air containing less than
0.5 ppm hydrocarbons, or equivalent air source.
5.3 Hydrogen. Cylinder of ultra high purity grade hydrogen, or equivalent
source.
5.4 Propane calibration standard. Cylinder containing 1 to 100 ppm pro-
pane In air. Cylinder assay Should be traceable to a National Bureau
of Standards (NBS) propane In air Standard Reference Material (SRM)
or a coomerclally available Certified Reference Material (CRM).
5.5 Zero a1rt containing less than 0.01 ppm C hydrocarbons, zero air may
be obtained from a cylinder of zero-grade compressed air scrubbed with
Drierlte or silica gel and 5A molecular sieve or activated charcoal,
or by catalytic cleanup of ambient air. All zero air should be passed
through a cryogenic cold trap for final clean up.
5.6 Cryogen. Liquid argon or liquid oxgen. (Observe appropriate safety
precautions with liquid oxgen).
6. SYSTEM DESCRIPTION
6.1 Direct Sampling
Allow the cryogenic trapping system to draw the air sample directly
from a pump-ventilated distribution manifold or sample line. The connect-
ing line should be kept as short as possible to minimize Its dead volume.
If this technique Is used, multiple analysis will have to be taken over
the sampling period to establish hourly or 3-hour averages. Direct sampling
avoids potential sample degradation or contamination from sample collection
containers.
6.2 Sample Collection in Pressurized Canisters
Collection of ambient air samples In pressurized canisters provides
a number of advantages, Including (1) Integration of ambient samples over
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tin* period, e.g., 1 or 3 hours; (2) remote sampling and central analysis;
(3) storage and shipping of samples; (4) unattended sample collection;
(5) analysis of samples from multiple sites with one analytical system;
and (6) collection of replicate samples for statistical analysis. However,
great care must be exercised 1n selecting, cleaning, and handling the
sample canisters and sampling apparatus to avoid losses or contamination
of the samples.
Figure 2 shows a schematic diagram of a recommended sample collection
system. The small auxiliary pump purges the inlet manifold or lines with
a flow of several liters/minute to minimize the sample residence time. The
larger Metal Bellows pump (MB*151) takes a small portion of this sample
to fill and pressurize the sample canisters. Both pumps should be shock-
mounted to minimize vibration.
A critical orifice connected to the Inlet of the Metal Bellows pump
Is used to maintain a substantially constant flow Into the canisters and
must be selected to provide the desired flow rate. This flow rate is
chosen so that the canisters are pressurized to at least 1 atmosphere
above ambient pressure (2 atmospheres absolute pressure) over the desired
sample period. The flow rate can be calculated by
F * LUL
T * 60 (1)
where
F » Flow rate, cm3/m1n
P * Final canister pressure, atmospheres absolute
V ¦ Volume of the canister, cm3
N » Number of canisters connected together for simultaneous sample
collection
T * Simple period, hours.
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For example, if two 4-1 canisters are to be filled to 2 atmospheres abso-
lute pressure (15 psig) in 3 hours,
F = 2 * 4000 x 2 = 89 cm3/min.
3 x 60
The canisters are originally evacuated, and once they are filled to above
atmospheric pressure (about half the sample period), then pressure can be
monitored with the pressure gauge. The connecting lines between the
sample pump and the canisters should be as short as possible to minimize
their volume. Be sure the flow rate Into the canister remains relatively
constant over the entire sampling period (some drop in the flow rate may
occur near the end of the sample period as the canister pressure approaches
2 atmospheres pressure).
Replicate samples provide useful quality control Information. They can
also decrease the possibility of lost samples due to leakage or contami-
nation in either of the canisters. If replicates are needed, two canisters
should be filled simultaneously.
Prior to field use, each sampling system should be tested for pump
contamination (see Section 7.2), leaks, and proper flow rate. The
plumbing on the outlet side of the Metal Bellows pump can be checked for
leaks by shutting off the canister valves, pressurizing the system, and
checking fittings, etc., with a nonhydrocarbon-based leak detector fluid.
The MB-151 pump should also be leak checked by plugging its outlet and
ensuring that there 1s no flow into its inlet side. The canisters must
be cleaned and checked for contamination before use (see Section 7.1).
During analysis, a pressurized canister is connected to the six-port
valve via a needle valve (V4) and vent as shown In Figure 1. The needle
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valve reduces the canister pressure and adjusts the canister flow rate to
a value slightly higher than the trap flow rate set by valve V3. The excess
flow exhausts through the vent, which assures that the sample air flowing
through the trap 1s at atmospheric pressure. The vent is connected to a
flow Indicator or 1s submerged In water so that the escaping bubbles provide
a visual Indication of vent flow and assist 1n adjusting valve V4.
6.3 Analytical System
6.3.1 Sample volume metering system. The vacuum reservoir and pres-
sure gauge (see Figure 1) are used to meter precisely repeatable
volumes of sample air through the cryogenic trap. With valve V2
closed and valve VI open, the reservoir 1s first evacuated with
the vacuum pump. Then VI Is closed and V2 1s opened to allow a
fixed volume of sample air to be drawn through the cryogenic trap
and Into the evacuated reservoir. The volume of air sampled 1s
determined by the pressure rise 1n the evacuated reservoir,
measured by the pressure gauge. This volume can be calculated by
V, » vr (2)
%
where
V * Volume of air sampled, standard cm3
s
AP » Pnssur* difference measured by gauge, torr
y * Volume of vacuum reservoir
r
p « Standard pressure (760 torr).
For example, with a vacuum reservoir of 1700 cm3 and a pressure
change of 180 torr (20 to 200), the volume sampled would be
403 cm.3 The actual reservoir volume Is noncrltlcal, since it
be constant throughout calibration and sample analysis,
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but changing the volume of the sample (AP or Vr) will change
the sensitivity of the method. Sample volumes of 200 cm3 to
500 cm3 appear to be appropriate for typical ambient NMOC
concentrations. If the response peak obtained for a 500 cm3
sample turns out to be outside the calibration range or off
scale, a second analysis of a 250 cms sample can be carried
out.
6.3.2 Trap. The trap should be carefully constructed from a single
piece of tubing in the shape shown in Figure 3. The central
portion of the trap (10 to 15 centimeters) is packed with 60/80
mesh glass beads with glass wool filling the remainder to retain
the beads. The trap must fit conveniently into the Oewar f.lask
(Section 4.4.7), and the arms must be of an appropriate length
to allow the beaded portion of the trap to be submerged below
the level of liquid cryogen in the Oewar. The trap should connect
directly to the six-port valve, 1f possible, to minimize line
length between the trap and the FI0. It must be mounted to allow
the Dewar to be conveniently slipped on and off the trap and also
to facllHtate heating of the trap (see 6.3.4).
6.3.3 Liquid cryogen. Either liquid oxygen (bp -183.0° C) or liquid
argon (bp -185.7° C) may be used for the cryogen; experiments
have shown no difference in trapping efficiency between the two
cryogenic liquids.5 However, appropriate safety precautions must
be taken if liquid oxygen is used. Liquid nitrogen (bp -195° C)
should not be used as it causes condensation of oxygen and
methane 1n the trap. It may be possible to use liquid nitrogen
in an automated system if an automatic temperature controller
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1s used to obtain an operational temperature in the range of 180-
185° C. The level of the cryogenic liquid should be maintained
constant with respect to the trap and should completely cover
the beaded portion of the trap.
6.3.4 Heat source. To facilitate Integration of the NMOC response
peak, a hot bath or other heating source 1s used to heat the
trap and volatilize the concentrated NMOC such that the FID
produces one (or only a few) sharp and easily Integrated peaks.
The trap should be heated to a temperature In the range of 75° C
to 90° C. A simple heating source for the trap 1s a beaker or
Dewar filled with water maintained at 75° to 90° C. Other types
of heat sources Include a temperature-programmed chromatograph
oven, electrical heating of the trap itself, or any type heater
that brings the temperature of the trap up to 75° - 90° C in .7-
.9 minutes.
6.3.5 Carrier gas. Helium is used to purge residual air and methane
from the trap at the conclusion of the sampling phase and to
carry the revolatilized NMOC from the trap into the FID. A
single-stage auxiliary regulator between the cylinder and the
analyzer may not be necessary but Is recommended to regulate
helium pressure better than the two-stage cylinder regulator.
When an auxiliary regulator 1s used, the secondary stage of
the two-stage regulator must be set at a pressure higher than
the pressure setting of the single-stage regulator.
6.3.6 Construction. The 6 port valve and as much of the interconnect-
ing tubing as practical should be located Inside an oven or other-
wise heated to 40 - 90° C to minimize wall losses or adsorption/
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desorption in the connecting lines. All lines should be kept as
short as possible.
All tubing used for the system should be chromatographic grade
stainless steel connected with stainless steel fittings. Pneu-
matic damping may be needed between the 6 port valve and the FIO
to dampen the effect of valve actuations, which may otherwise
cause upsets 1n the FIO signal or extinguish the flame. A stain-
less steel capillary may be used for damping, but its length
should be as short as possible to prevent broadening of the peak.
After assembly, the system should be pressurized to about
80 ps1g (550 kPa) and checked for leaks. During this procedure,
disconnect the absolute pressure gauge and cap the line to prevent
damage to the gauge. If the system is leak free, depressuri'ze
the system and reconnect the gauge.
6.3.7 FID Detector. The NMOC Analyzer should be set up to accommodate
helium carrier gas so that the entire sample 1s directed to the
FID. The FID burner air, hydrogen, and carrier flow rates should
be set to obtain an adequate FID response while maintaining as
stable a flame as possible throughout all phases of the analytical
cycle. The flow rates that were used for the Hewlett Packard
model 5840A in the comparison study7 were as follows: hydrogen,
80 cm'/mln; carrier (He), 30 cm3/m1n; burner air, 400 cm3/min.
6.3.8 Linearity. Response has been shown to be Uner over a wide
range (0-10,000 ppb C).5'7
6.3.9 Range. Some FID detector systems such as laboratory chromato-
graphs may have autoranglng. Others, provide a front panel
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"range" (attenuator) control and internal full-scale output
voltage selectors. An appropriate combination should be chosen
so that an adequate output level for accurate integration is
obtained down to the detection limit, yet the electrometer or
integrator must not be driven into saturation at the upper end
of the calibration. Saturation of the electrometer may be
indicated by flattening of the calibration curve at high concen-
trations. Additional adjustment of range and sensitivity can be
provided by adjusting the sample volume used, as discussed in
Section 6.3.1.
6.3.10 Integrator. The integrator must be electrically compatible
with the output signal of the FIO detector so that sufficient
resolution is available at low concentrations without overrangirig
on high concentrations. If both an integrator and a separate chart
recorder are used, care must be exercised to be sure they don't
Interfere with each other electrically. Range selector controls
on both the Integrator and the FID analyzer may not provide
accurate range ratios, so individual calibration curves should
be prepared for each range to be used.
The Integrator should be capable of marking the beginning and
end of peaks, constructing the appropriate baseline between the
start and end of the integration period, and calculating the
peak area accordingly (see fig. 5). This is necessary because
the H*0 in the sample, which 1s also concentrated 1n the trap
will cause a slight positive baseline shift. This shift con-
tinues much longer than the organic peaks. If this shift is not
taken Into account by the Integrator, it can cause a substantial
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positive bias 1n the area as well as Increased measurement vari-
ability.
PROCEOURE
Recommended Procedure for Canister Cleaning
7.1.1 Leak-test all canisters by pressurizatlon to 40 psig (275 kPa)
with zero air and immersion 1n water.
7.1.2 Connect canisters +o the vacuum manifold as shown in Figure 4.
7.1.3 Open the canister shut-off valves and evacuate the canisters to
5.0 mm Hg or less, using a cryogenlcally-cooled trap in the vacuum
line to eliminate back-diffusion of hydrocarbons and oil from
the vacuum pump.
7.1.4 Close valve VS and shut-off valve V7. Open valve V6 to pressu-
rize the canisters with zero air to about 40 psig (300 kPa).
If a zero gas generation system is used the rate of flow may
need to be controlled.
7.1.5 Close valve V6 and allow the canisters to vent down to atmos-
pheric pressure through the vent valve V8.
7.1.6 Close valve V8, open valve V5 and evacuate the canisters to
<5.0 mm Hg. Open valve V7 only after the manifold pressure is
below ambient pressure to monitor the vacuum.
7.1.7 Evacuate the canisters for 10 to 15 minutes. Then close
valves V5 and V7.
7.1.8 Repeat steps 7.1.3 to 7.1.6 two additional times.
7.1.9 Fill the canisters with zero air and analyze the contents
as a blank check of the canisters and the cleanup system and
procedures. This step should be performed on 100% of the
canisters until the cleanup system and procedures are proven
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reliable. Th. check can th.n b. reduced to a lower percenter
unless problMS arise. Any canister that does not test clean
(compared to direct analysis of zero air) after repeated
cleaning should not be used.
7.1.10 Re-evacuate the canister after the analysis and leave evacuated
unt11 used.
7.1.11 Attach a paper tag to each canister for field notes.
The canister is now ready for collection of an air sample.
7-2 Procedure for Collection of Samples in Canist»»»s
7.2.1 Clean and test the canisters according to the procedure in
Section 7.1.
7.2.2 Assemble a sample collection system such as the one shown in
Figure 2.
7.2.3 Check the pump for contamination by filling two evacuated
cleaned canisters with zero air through the sampling system
and analyzing them.
7.2.4 Turn on pumps and allow them to warm up for 15 minutes
The orifice should be pre-checked on each sampling system to
make sure the sample flow remains relatively constant up to
about 15 psig (2 atmospheres absolute pressure). After warmina
up, loosely attach the fittings to the canisters to purge the
lines for at least 1 minute. Leave the canister valves and the
gauge shut-off valve closed.
7.2.5 Without turning off the pumps, tighten the fittings, then open
the canister shut-off valves.
7.2.6 The canisters will fill slowly over the selected p«riod at
the predetermined flow rate. At the end of the sample period
19
-------
Measure the canister pressure with the pressure gauge to ensure
that the canisters have been pressurized to about 2 atmospheres
(15 pslg).
7.2.7 Close canister valves and disconnect the canisters from the
pump setup. Then turn off the pumps.
7.2.8 The Identification tags on the sample canisters should be
filled out as necessary. Bring the canisters to the analytical
system for analysis.
7.2.9 Complete records of the sampling should be entered in a
laboratory notebook. The sampling operator should be alerted
to take note of any activities or special conditions in the area
(rain, smoke, etc.) that may affect the sample contents.
Analysis Procedure
7.3.1 Assemble the analysis system as shown 1n Figure 1 and as dis-
cussed in Section 6. Allow the FID detector to warm up and
stabilize for several hours before analysis.
7.3.2 Check and adjust the helium carrier pressure to provide the
correct carrier flow rate for the system. Also check FID hydro-
gen and burner air flow rates.
7.3.3 Close valve V2 and open valve VI to evacuate the vacuum
reservoir.
7.3.4 With the trap at room temperature, place the six-port valve
1n the Inject position.
7.3.5 Open valve V2 and adjust valve V3 for a sample flow of 50
to 100 cmVmin.
7.3.6 Connect a sample canister or direct sample Inlet to the
six-port valve as shown In Figure 1. For a canister, open the
20
-------
canister valve and adjust valve V4 to obtain a slight vent flow
as Indicated by the flow Indicator or by constant bubbles.
(CAUTION: Do not allow water to be drawn Into the six-port
valve.) Then close valve V2.
7.3.7 Open valve VI (1f not already open) to evacuate the vacuum
reservoir. With the six-port valve in the Inject position and
valve VI open, open valve V2 for a few Minutes to flush and
condition the Inlet lines. Then close valve V2.
7.3.8 Submerge the trap In the cryogen and allow a few minutes for
the trap to cool completely (Indicated when the cryogen stops
boiling). Check and maintain the Initial cryogen level
to the same level used during calibration.
7.3.9 With the six-port valve still In the Inject position, close
valve VI and open valve V2.
7.3.10 Observe the Increasing pressure on the pressure gauge; when
it reaches an arbitrary point such as 20 mm Hg, quickly switch
the six-port valve to the sample position. (Alternatively,
valve V2 can be closed momentarily to allow more time while the
six-port valve is switched.)
7 3.11 Observe the Increasing pressure on the pressure gauge; when
it reaches a second arbitrary point, such as 200 mm Hg, close
valve V2. Then switch the valve to the inject position, keeping
the cryogenic bath on the trap. Also close valve V4 to conserve
the remaining sample in the canister.
7 3 12 Start the chart recorder, and wait until the FID response
baseline has stabilized (about 40 to 60 seconds). Do not wait
longer than 2 minutes.
21
-------
7.3.13 Start the integrator. Remove the liquid cryogenic bath from
the trap and smoothly but not too quickly replace it with a
Dewar of hot water (approximately 90° C) or an alternate heating
system. Use the same level of hot water or a consistent heating
procedure for both calibration and sample analyses. Heating the
trap too quickly may cause an initial negative-going response
which could hamper accurate Integration. Some initial experi-
mentation may be necessary to determine the optional heating pro-
cedure for each system, but once established, the procedure
should be consistent for each analysis.
7.3.14 Continue the integration only long enough to include all the
organic compound peaks and establish the end FID baseline, as
shown 1n Figure 5. The end baseline may be shifted somewhat
higher than the initial baseline due to moisture in the sample.
Construct an operational baseline from the Initial baseline at
the beginning of the first peak to the end baseline as shown in
Figure 5, and correct the peak area reading according to this
operational baseline. Electronic integrators either do this
automatically or they should be programmed to do this correction.
22
-------
7.3.15 Us* the calibration curve (section 8.3) to convert the peak
area reading Into concentration units (ppmC). Note that the
NMOC peak shape may not be precisely reproducible due to
variations 1n heating the trap, but the total NMOC peak area
should be reproducible.
7.3.16 Duplicate Analysis. Analyze each canister sample at least
two tiaos and raport tin .v.r.g. NMOC conc.ntr.tlon, Probl«ns
occasionally occur during an analysis that win causa lupropar
rtsults to occur. If th* first 2 analysas do not agraa clos.ly,
additional analysas should b. aada to Idantlfy InaccuraU aeasure-
stents and produce a more accurate average.
8. CALIBRATION
8.1 Calibration Frequency
Initially, a complete dynamic calibration of five or more points
should be carried out on each range to define the calibration curve.
Subsequently, the calibration should be verified with two- or three-point
calibration checks (including zero) each time the analytical system is
used to analyze samples.
8.2 Calibration Standards
PropMM calibration standards may be obtained directly from low
concentration cylinder standards or by dilution of high concentration
cylinder standards with zero air. Dilution flow rates must be measured
accurately, and the combined gas stream must be mixed thoroughly.
Calibration standards must be sampled directly from a vented manifold or
tee. Remember that a propane concentration in ppmC 1$ three times the
volumetric concentration in ppm.
23
-------
8.3 Calibration Procedure
8.3.1 Select one or more combinations of FID attenuator setting,
output voltage setting, Integrator resolution (1f applicable),
and sample volume to provide the desired range or ranges (e.g.,
0-1.0 ppm C or 0-5.0 ppm C). Each such range should be cali-
brated Individually and have a separate calibration curve.
8.3.2 Analyze each calibration standard three times according to
the procedure 1n Section 7.3. Be sure that flow rates,
initial cryogen liquid level 1n the dewar, timing, heating
and other variables are the sane as will be used during
analysis of ambient samples.
8.3.3 Average the three analyses for each concentration standard
and plot the calibration curve(s) as integrated peak area
reading versus concentration 1n ppm C. The relative standard
deviation for the three analyses should be less than 3 percent.
Linearity should be expected; points that appear to deviate
abnormally should be repeated. If nonlinearlty is observed,
an effort should be made to Identify and correct the problem.
If the problem cannot be corrected, additional points in the
non-linear region may be needed to adequately define the
calibration curve.
9. METHOD MODIFICATIONS
9.1 Sample Metering System
Although the vacuum reservoir and absolute pressure gauge technique
for metering the sample volume during analysis 1s efficient and convenient,
other techniques should work also. For example, a constant sample flow
could be established with a vacuum pump and a critical orifice, with the
24
-------
six-port valve being switched to the sample position for a Measured time
period. Or a gas volune Meter such as a wet test Meter could be used to
Measure the total volune of saMple air drawn through the trap. However,
these alternate techniques have not been tested or evaluated.
9.2 TOC Analvier
FID detector systems other than tht Hewlett Packard Model 5840A may
also be adaptable to the Method. The specific flow rates and necessary
Modifications for the helium carrier for any alternate FID instrument
would have to be worked out by the user.
9.3 Range
It M^y be possible to increase the sensitivity of the Method by
Increasing the sample voluMe. However, Imitations are likely to arise,
such as plugging of the trap by Ice; hence any atteMpts to Increase the
sensitivity should be tested carefully.
9.4 Alternate Carrier Gas
It may be possible to substitute nitrogen for the helium carrier, but
no tests using a nitrogen carrier have been carried out.
9.5 Trap Heating
Alternative techniques nay be used for heating the trap during analysis
For example, with a suitable temperature control, the trap could be heated
electrically by passing electrical current directly through the trap tubing,
using Its Internal resistance to heat 1t, or by using a trap wrapped around
an electrical heater.
25
-------
REFERENCES
1. Uses, Limitations and Technical Basis of Procedures for Quanti-
fying Relationships Between Photochemical Oxidants and Precur-
sors. EPA-450/2-77-021a, U.S. Environmental Protection Agency,
Research Triangle Park, NC, November 1977.
2. Guidance for Collection of Ambient Non-Methane Organic Compound
(NMOC) Data for Use in 1982 Ozone SIP Development, and Network
Design and Siting Criteria for the NMOC and NO Monitors. EPA-
450/4-80-011, U.S. Environmental Protection 'Agency, Research
Triangle Park, North Carolina, June 1980.
3. Guidance for the Collection and Use of Ambient Hydrocarbon
Species Data 1n Development of Ozone Control Strategies. EPA-
450/4-80-008, U.S. Environmental Protection Agency, Research
Triangle Park, North Carolina, April 1980.
4. Sexton, F.W., F.F. McElroy, R.A. Mlchie, Jr., and V.L. Thompson.
A Comparative Evaluation of Seven Automatic Ambient Non-Methane
Organic Compound Analyzers. EPA-600/S4-82-046, Environmental
Monitoring Systems Laboratory, U.S. Environmental Protection
Agency, Research Triangle Park, NC, August 1982.
5. Jayanty, R.K.M., A. Blackard, F.F. McElroy, and VI.A. McClenny.
Laboratory Evaluation of Nonmethane Organic Carbon Determination
in Ambient Air by Cryogenic Preconcentratlon and Flame Ionization
Detection. EPA-600/54-82-019, July 1982.
6. Collection and Analysis of Non-Methane Hydrocarbon Transport Data
from Upwind Ozone Monitoring Sites for Louisville, Kentucky and
Nashville, Tennessee. EPA-904/9-80-055, U.S. Environmental Pro-
tection Agency, Research Triangle Park, North Carolina, January
1981.
7. McElroy, F.F., V.L. Thompson, D. Holland, W.A. Lonneman, R.L.
Sella. Cryogenic Preconcentratlon-Direct FID Method for Measure-
ment of Ambient NMOC: Refinement and Comparison with GC Specia-
tion. In press, October 1983.
26
-------
APPENOIX
MATERIAL
1. Sample Canister
MODEL/DIMENSIONS
4-6 Liter
2. Absolut* Pressure Model 610-10-0200
Gauge (0-200 mm Hg),
2h in. Face
3. Six-Port Valve
5. Chromatographic
Grade Stainless
Steel Tubing
6. Integrating
Chart Recorder
8. FID TOC Analyzer
9. Metal Bellows
Pump
10. Vacuum Gauge
11. Cryoganlc Dewar
Seiscor Model VI11
Valco 9110
4. Gas Pur1f1«rs c>t 08125
Cat #30101
(1/8 In. x
0.085 1n.)
Linear Model 252A
Beckman Model 400
HP Model 8440/8840
Model MB-151
0-10
,-3
Hg
10-196-10B
(30 as x 26 cm)
SUPPLIER
Oemaray Scientific
Instruments, Ltd.
N. 1218C Grand Ave.
Pullman, WA 99163
(509) 332-3684
Wallace & Tiernan
D1v. of Pennwalt Corp.
25 Main Street
Belleville, NJ 07109
Seismograph Service Corp.
Seiscor Division
P.O. Box 1590
Tulsa, OK 74102
Alltech Associates
606A Union Street
Kenneth Square, PA 19348
Alltech Associates
Alltech Associates
Cole-Parmer
7425 North Oak Avenue
Chicago, IL 60648
Beckman Instruments, Inc.
Process Instruments Div.
2500 Harbor Boulevard
Fullerton, CA 92634
Hewlett Packard Corp.
Avondale, PA
Metal Bellows Corp.
1075 Providence Highway
Sharon, MA 02067
Consolidated Vacuum Corp.
Fisher Scientific Co.
27
-------
ABSOLUTE
PRESURE 6AII8E
VACUUM SAMPLE
VALVE VI V VALVE VI
LOW
PRESSURE
REGULATOR
VACUUM
PUMP
CARISTER
VALVE
VI
8LASS
IEAOS
Figure 1. Schematic of analysis syttam lowing two sampling modas.
28
-------
In
V«nt
1
Critical orific*
In Out
i
Auxiliary Piffp
III Out
MI151
total ItllMt tap
Stainless StMl
Samplt Cannl stars
29
-------
Figure 3. Cryogenic sample trap dimensions.
30
-------
Shut-•If
Vent *-i
Vbcvum
MartifoM
t
AAA
Swnpl* Canities
Figure 4. Cfenisttr *•!** **»**.
31
-------
*
w
B
Figure 5. Construction of operational baseline and corresponding
correction of peak area.
32
-------
APPENDIX B
OUTLINE OF NMOC DATA ANALYSIS
B-l
-------
OUTLINE OF NMOC DATA ANALYSIS
1. NMOC DATA
A. A final list of sites needs to be tabulated, including location.
B. For each site, the following will be listed to get some measure of
completeness: number of total samples, number of valid samples, and
percent complete. It is assumed that once a site began on the analysis
plan that the site was committed to five samples per week whether or not
there was a holiday. Further, each site was scheduled for duplicate
samples. These will be included in the talley of total samples.
Definitions:
-- Number of samples a site was scheduled to take,
including holidays and duplicate samples.
— The number of samples which resulted in an
analyzable sample.
— (Total Samples) - (Valid Samples). Invalid
sample includes no samples, or ones for which
sample was taken but lost.
-- A completeness parameter =
(No. Valid Samples) 100
Total Samples
For all the sites (throughout the country), an overall completeness will
be calculated from a ratio of overall valid samples to the total number
of samples.
Total Samples
Valid Samples
Invalid Sample
X Valid Sample
-------
C. For each site and for the entire 22 sites, the following statistics
will be recorded.
Mean — An arithmetic mean of all the readings of
the valid samples, including any zeros
among the valid samples,
a
X = I X./n
i-1 1
Median — The value of the valid NMOC readings such
that one-half of the values are larger than
the median, and one-half are below it. For
an even number of readings, the median will
be assumed to be the arithmetic mean of the
two middle data points, after the NMOC
values are sorted according to size.
Standard Deviation — The square root of the estimate of the
variance of the values.
High
Low
Range
s' = I l(X - X)2/(n-l)]
x i=l 1
- fix V •
(n-1)
— The largest value of NMOC for a given data
set.
— The smallest value of the valid NMOC readings
for a given data set.
The range will be calculated as
[(high)-(low)].
D. Testing for outliers. Rank the valid values of NMOC such that
Xj £ X2 S X3 . . . S xn_2 ^ *n-l ' ^us» * is the smallest value and
Xq is the largest value. The number of valid data points is n. Calculate
the following statistic
2
-------
Tn * «„ " '*>"•
where:
X = the sample mean, and
s = the sample standard deviation.
Compare the value of the Tq with ttte critical value given in Table 1 at
the upper 5 percent significance level. If Tq is greater than the
tabulated value, then Tq is an outlier at the 0.05 significance level.
Similarly, test X as an outlier with the following statistic:
Tt = (X - Xi)/s.
Continue testing *n_2» ¦ • an<* *3 • • • until an outlier is
not found.
E. For two sets of data for which the percent completeness is high,
run either: (1) «n auto regress ion program such as the Box-Jenkins US ID
program (Box, George E. P., and Gwilym M Jenkins, "Time Series Analysis
Forecasting and Control," Holden-Day, San Francisco (1976); Program 1,
p. 496; or (2) construct plot as indicated below:
For the chronological (not ranked by size) NMOC data, plot
i-1
Y.
l
3
-------
Table 1. GRUBBS8 CRITERIA FOR OUTLIERS
Number of
observations
n
Upper 1%
significance
level
Upper 2.5%
significance
level
Upper 5%
significance
level
3
1.155
1.155
1.153
4
1.492
1.481
1.463
5
1.749
1.715
1.672
6
1.944
1.887
1.822
7
2.097
2.020
1.938
8
2.221
2.126
2.032
9
2.323
2.215
2.110
10
2.410
2.290
2.176
11
2.485
2.355
2.234
12
2.550
2.412
2.285
13
2.607
2.462
2.331
14
2.659
2.507
2.371
15
2.705
2.549
2.409
16
2.747
2.585
2.443
17
2.785
2.620
2.475
18
2.821
2.651
2.504
19
2.854
2.681
2.532
20
2.884
2.709
2.557
21
2.912
2.733
2.580
22
2.939
2.758
2.603
23
2.963
2.781
2.624
24
2.987
2.802
2.644
25
3.009
2.822
2.663
26
3.029
2.841
2.681
27
3.049
2.859
2.698
28
3.068
2.876
2.714
29
3.085
2.893
2.730
30
3.103
2.908
2.745
31
3.119
2.924
2.759
32
3.135
2.938
2.773
33
3.150
2.952
2.786
34
3.164
2.965
2.799
35
3.178
2.979
2.811
(continued)
4
-------
Table 1. Continued
Number of
Upper 1%
Upper 2.5%
Upper 5%
observations
significance
significance
significance
n
level
level
level
36
3.191
2.991
2.823
37
3.204
3.003
2.835
38
3.216
3.014
2.846
39
3.228
3.025
2.857
40
3.240
3.036
2.866
41
3.251
3.046
2.877
42
3.261
3.057
2.887
43
3.271
3.067
2.896
44
3.282
3.075
2.905
45
3.292
3.085
2.914
46
3.302
3.094
2.923
47
3.310
3.103
2.931
48
3.319
3.111
2.940
49
3.329
3.120
2.948
50
3.336
3.128
2.956
51
3.345
3.136
2.964
52
3.353
3.143
2.971
53
3.361
3.151
2.978
54
3.368
3.158
2.986
55
3.376
3.166
2.992
56
3.383
3.172
3.000
57
3.391
3.180
3.006
58
3.397
3.186
3.013
59
3.405
3.193
3.019
60
3.411
3.199
3.025
61
3.418
3.205
3.032
62
3.424
3.212
3.037
63
3.430
3.218
3.044
64
3.437
3.224
3.049
65
3.442
3.230
3.055
66
3.449
3.235
3.061
67
3.454
3.241
3.066
68
3.460
3.246
3.071
69
3.466
3.252
3.076
70
3.471
3.257
3.082
(continued)
5
-------
Table 1. Concluded
Number of Upper 1% Upper 2.5% Upper 5%
observations significance significance significance
n level level level
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
200
500
a?d G> Beck» Extension of Sample Sizes and Percentage
5. ?ni^lcance Tests of Outlying Observations. Technometrics.
Vol. 14, No. 4, November 1972, pp. 847-854.
3.476
3.262
3.087
3.482
3.267
3.092
3.487
3.272
3.098
3.492
3.278
3.102
3.496
3.282
3.107
3.502
3.287
3.111
3.507
3.291
3.117
3.511
3.297
3.121
3.516
3.301
3.125
3.521
3.305
3.130
3.525
3.309
3.134
3.529
3.315
3.139
3.534
3.319
3.143
3.539
3.323
3.147
3.543
3.327
3.151
3.547
3.331
3.155
3.551
3.335
3.160
3.555
3.339
3.163
3.559
3.343
3.167
3.563
3.347
3.171
3.567
3.350
3.174
3.570
3.355
3.179
3.575
3.358
3.182
3.579
3.362
3.186
3.582
3.365
3.189
3.586
3.369
3.193
3.589
3.372
3.196
3.593
3.377
3.201
3.597
3.380
3.204
3.600
3.383
3.207
3.570
3.369
3.193
3.553
3.359
3.184
6
-------
Data Point
First Week
#1
n
n
#4
Second Week
05
# 6
#7
m
Etc.
NMOC Reading
Tuesday
. Wednesday
Thursday
Friday
Tuesday
Wednesday
Thursday
Friday
li-l
Monday
Tuesday
Wednesday
Thursday
Monday
Tuesday
Wednesday
Thursday
and Y.' s Y. . for
i i-l
How fit a linear regression line, using X. s Y
Yi' = • + • Coefficient b is the first
i l c order autocorrelation
coefficient. If b 4 0.5, th. «Uu «y be *i„t.ord.t .utocorteUt,d,
»hicb «y have i^orunt con..,ue«ce. My .t.tt,tleml COnclu.ioo..
e.g., tests of hypotheses or setting confidence intervals.
2. DUPLICATE SAMPLES
A. Tabulate completeness data as follows:
Site
No.
valid
No.
invalid
Total
X
X
•
#1
n
•
X
X
X
*
•
CM
•
X
•
X
•
X
Overall
X
X
X
% valid
(complete)
X
X
As indicated above, "Total Samples" includes all saaples for which the
site was scheduled in the original test plan to obtain duplicate samples
7
-------
data. For NMOC data, tabulate the following:
Duplicate _ «
No. Ll X* I II % RSD d
1
2
3
n i
2
3
^2j
h, Sd2
where:
(Yj)^. = NMOC reading of Duplicate Sample No. 1 (the sample with
the lowest Radian ID nuaber), or the mean of the readings
if a duplicate had repeated analyses at site i for sample
number j;
(Y2).. = NMOC reading of Duplicate Sample No. 2, or the mean of
the readings if a duplicate had repeated analyses at
site i for sample number j;
Y = (Yj + Y2)/2, or (2Yx + Y2)/3 if Yx was a mean of
two repeated analyses, or in general
n
Y = I Y /n;
i=l
S_ = the standard deviation of the duplicate samples =
l(Yx - Y2)A/2J;
% RSD = the relative standard deviation = (Sy/Y) x 100;
d.. = (Yx).. - (Y2).
ij ij ij
n.
1
dx = 2 (d.j/_ ) where subscript i refers to the site
j=l J/ i
number and j refers to the duplicate number at a given
site;
B. NMOC
Site
#1
8
-------
'ij = th' t°t*1 nu"b" of duplicate ,«ple., j, taken at site i;
^ ~ )i aaauaing 22 site. with valid duplicate; and
sa 'jl ^
C. Teat dt for outlier, accordin, to Grubb., a. indicated above.
IdenUfy thoae outlier, but do not re*,ve the. fto. the calculated ~.n.
and standard deviations.
D. Test the hypotheses that:
V ^di ~ as follows:
Calculate test statistic t - *** ** 0
' 1 ~ Sd.
x
^ < tni-l, 0/2 " S-1, then Ho " rejected, i.e., d.
i. significantly different fro. zero at the a level of .ignificance.
Choose « - 0.05 (or 0.01) and t fro. Table 2 for a
i-1, l-ct/2
97.S percent (or 99.5) probability, .here f i. the degree, of freedom
and equal to n. .. Note that t. = -t
i-l 1-p v
3. REPEATED ANALYSES
A. Several cases will be tabulated. Case 1 will include all the
analyses for which the first analysis was done on Channel #1, a Radian
channel on Instrument #1.
9
-------
Table 2. FRACTILES OF THE
t DISTRIBUTION
(t. = -t)
IP P
P
Probability in percent
97.5 99.5
1
12.71
63.66
2
4.303
9.925
3
3.182
5.841
4
2.776
4.604
5
2.571
4.032
6
2.447
3.707
7
2.365
3.499
8
2.306
3.355
9
2.262
3.250
10
2.228
3.169
11
2.201
3.106
12
2.179
3.055
13
2.160
3.012
14
2.145
2.977
15
2.131
2.947
16
2.120
2.921
17
2.110
2.898
18
2.101
2.878
19
2.093
2.861
20
2.086
2.845
21
2.080
2.831
22
2.074
2.819
23
2.069
2.807
24
2.064
2.797
25
2.060
2.787
26
2.056
2.779
27
2.052
2.771
28
2.048
2.763
29
2.045
2.756
30
2.042
2.750
40
2.021
2.704
50
2.009
2.678
60
2.000
2.660
80
1.990
2.639
100
1.984
2.626
200
1.972
2.601
500
1.965
2.586
00
1.960
2.576
10
-------
Case I.
First analysis on C1(
Second
analysis
#1
n
«u
#1
n
9
n12
#1
n
n13
#1
n
n16
where:
Cj = Radian Channel No. 1, Instrument #1;
Cj s Radian Channel No. 2, Instrument #1;
C3 = Radian Channel No. 3, Instrument #2;
C4 = Radian Channel No. 4, Instrument #2;
Cs = EPA Channel, Vince Thompson Laboratory; and
C6 = EPA Channel, William Lonneman Laboratory.
Case II. First analysis on C2. Similar table as Case I.
Case VI. First snalysis on C#. Similar table as Case I.
- the first of a repeated analysis.
Y2 = the second of a repeated analysis,
i = the channel on which the first analysis was done.
11
-------
j = the channel on which the second (or third, or higher)
analysis was done.
k = 1, 2, . . ., n.., the number of repeated analyses for
which channel iJwas the first analysis and channel j was
the second analysis.
-------
4. Obtain the standard error of the mean for each treatment.
Error mean square
. of observations in d.. (= n.,)
ij ij
5. Enter Duncan's table (see below) of significant ranges at the
a level desired, using n^ = degrees of freedom for the error
¦can square and p a 2, 3, . . . k, and list these k-1 ranges
(if there are six channels, k - 6).
6. Multiply these ranges by Sd to form a group of k-1 least
significant ranges.
7. Test the observed ranges between means, beginning with the
largest versus the smallest, which is compared with the least
significant range for p * k; then test the largest versus the
second smallest with the least significant range for p k-1;
etc. Continue this for the second largest versus smallest,
etc. until all k(k-l)/2 possible pairs have been tested. The
sole exception to the rule above is that no difference between
two means can be declared significant if two means concerned
are both contained in a subset with a nonsignificant range.
A numerical exasiple will be given once the first set of cases is
calculated. Significant Studentized Ranges for a 5-percent Level New
Multiple Range Test is shown in Table 3.
4. FOR THE RADIAN QA SAMPLES, THE FOLLOWING COMPARISONS WILL BE MADE
sa
°ij />J No
A. Tabulate the data as follows:
QA
OA-
, concentration Analysis Difference
tMapU C4. Y.4 d..
no- i-i ij vi
Channel No. 1
1 Clx YX1 dxl
2 C12 Yja dij
3 C13 Y13 d13
» i • •
ai Clnj Ylnj dlnj
dl> %
13
-------
Table 3. SIGNIFICANT STUDENTIZED RANGES FOR A
5-PERCENT LEVEL NEW* MULTIPLE RANGE TEST
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.rr-j-, (padai proUctfca Wv«fa faaaad oa dtgnm of frwdom.
14
-------
where:
OA QA
. concentration Analysis Difference
saapie c y
no. ij ii ij
Channel No. 2
1 Cjj Yji dgi
2 C22 Y22 ^22
3 C23 Y23 d23
' * 1 •
°2n1 4, d2„2
Channel No. 3
S(12
1 C31 Yjx d3j
2 C32 Y32 ds2
3 C33 Y33 d33
01 s s s
d3, S.A^
Channel No. 4
1 C41 Y41 d41
2 C42 Y42 d42
3 C43 Y43 d43
"* C*b4 *4">4 4*»4
34' S"4
c. . =• the coiaposition of the QA saapie, calculated by the QA
J ."coordinator;
Y^ = the analysis of the QA sample on Channel i for QA saapie j;
d. = Y.. - C..
ij iJ iJ;
15
-------
a.
1
(L = the mean d„ for Channel i = 2 (d^./n^; and
Sd = the standard deviation of the difference for Channel i
i
/(d.. - d.)2
T lj 1
(n. - 1)
B. Do a one-way analysis of variance with channels as treatments
where:
X. . = |J + T. + e. .
X.. = d.
ij ij
= Channels 1, 2, 3, and 4;
i = 1, . . . ., 4; and
j — 1> 2, . . ., n^.
C. Make the comparisons of the means using the Duncan Multiple
Range Test described
in 3C
above,
if T.
i
is significant.
5. FOR AMBIENT QA SAMPLES
, DATA
WILL BE TABULATED AS FOLLOWS
A.
Ambient
sample
no.
NMOC Analysis Channel No.
1 2 3 4 5
Ambient
sample
means
1
Xn
X21
X31
X41
X51
Ai
2
X12
X22
*32
X42
X52
a2
3."
X13
X23
X33
X43
X53
A3
4
X.H
x2«
•
t
X34
X44
X54
n
Xi
In
h*
in
X/
4n
X.
5n
A
n
Mean
Xi
x2
x3
X4
Xs
A
16
-------
B. Do a two-way analysis of variances with A. as the ambient sample
effect, and as the channel effect
X.J = M ~ £ij
C. Compare channel means according to the Duncan (Duncan, D. B.,
"Multiple Range and Multiple F Test," Biometrics, No. 11 (1956)) Multiple
Range Test given in 3C above, if channel effect is significant.
6. CALIBRATION DATA
A. Calibration data will be tabulated as follows:
Let X - concentration calculated from the generator,
= area counts from calibration sample,
Y. 3 area counts from blank run,
J
«-»i - V
X/AY = calibration factor, and
d = (X/AY) a.m. reading - (X/AY) p.m. reading
CALIBRATION DATA
X/AY X/AY
a.m. reading p.m. reading
d/(X/AY) • 100
percent of
a.m. reading
Channel #1;
Channel #2:
Channel #3:
dx, S
dl
d2, S
d2
d3, S
d3
17
-------
d/(X/AY) • 100
X/AY X/&Y percent of
a.m. reading p.m. reading d a.m. reading
Channel #4:
B. Test the hypotheses that Ho: =0.0.
1. Calculate the statistics
t - ~ 0.0
i " S..
dx
2. Determine critical values at the 5 percent level.
Vj-1, l-a/2 and V-l, a/2 with V1 de8ree« of freedom
See Table in Section 2C.
3. If V-l, a/2 < ti < V-l, l-a/2' then accePt Ho» therc
is no significant difference between the mean differences d.
i
and zero.
18
------- |