OAR Box 1115 

Prepped by Ryan Dugan 

Document Number: 

72) ll-A-4 

Docket Number: 

A-84-22 

Printed 4/18/2008 10:52:08 AM Sheet 72 of 94 

p.1 
P.2 

w 

iT^EPPi 

j-i 

United States 

Environmental Protection 

"Agency 

Office of Air Quality 

Planning and Standards 

Research Triangle Park NC 27711 

Tl p 

Special Report 

June 1985 

Stationary Source Compliance Series 

Opacity Errors For 

Averaging And 

Non Averaging 

Data Reduction 

And Reporting 

Techniques 
P.3 

Final Report 

SR-1-6-85 

Opacity Errors 

For Averaging And Non Averaging 

Data Reduction And Reporting 

Techniques 

Prepared By: 

Barbara Burton 

Thomas Rose 

Lam Ngo 

Eastern Technical Associates 

2412 Atlantic Avenue -

Raleigh, North Carolina 27658 

and 

JACA Corporation 

550 Pinetown Road 

Fort Washington, Pennsylvania 19034 

Contract No. 68-02-39b2 

Work Assignment No. 2-67 

Prepared for: 

EPA Project Manager: John Busik 

EPA Work Assignment Manager: Kirk Foster 

U.S.ENVIRONMENTAL PROTECTION AGENCY 

Office Of Air Quality Planning And Standards 

Stationary Source Compliance Division 

Washington, DC 20460 

June 1985 
P.4 

DISCLAIMER 

This report was prepared by Eastern Technical Associates for the 

Stationary Source Compliance Division of the U. S. Environmental Protection 

Agency under Contract No. 68-02-3962 Work Assignment No. 2-67. The contents 

of thi s report are reproduced herein as received from the contractor. 
P.5 

CONTENTS 

Fi gures iii 

Tables iv 

Acknowledgment v 

Summary 1 

1. Introduction 3 

2. Description of Field Studies 5 

3. Error Evaluation Technique 8 

a. Averaging Procedure 

b. Time-Aggregate Procedure 

c. Observer Precision - Fugitive Emission Study 

4. Evaluation of Error Results 11 

a. Averaging Procedures 

b. Time-Aggregate Procedure 

References 21 

Appendices 22 

A. Opacity Error Tabulation for Reference Method 9 A-l 

Evaluation Study 

B. Summary Tables For Opacity Error Frequency Distribution B-l 

by Averaging Period 

C. Tabulations of Opacity Error Data by Study, Plume Color, ... C-1 

Averaging Interval, and Individual Observers 

I I 
P.6 

LIST OF FIGURES 

Number Page 

1 Cumulative percentage distributio n of opacity errors 13 

for averaging times of 15 seconds to 8 minutes 

2 Cumulative percentage distributio n of time aggregation 18 

errors for estimating plume opacity duration over a 

six-minute period 

i I i 
rrv r "ll 

TABLES 

P.7 

Number 

1 

2 

3 

4 

5 

6 

7 

P. age 

EPA Field Studies of Opacity Methods (1973-198.1)

 : 7 

Error Classes Used in Developing Percentage Distribution 9 

Percentage Distribution of Opacity Errors by Averaging ' 12 

Time - i 

Percent of Data within 1% and 5% of Actual Opacity 14 

Percent of Data Having Less Than One Percent and Zero '' 14 

Positive Error ' j 

Difference Between Observers: Opacity Averaging Method 15 

Cumulative Percentage Distribution of the Time Aggregation 17 

Errors for Estimating Plume Opacity Duration Over a SixMinute Period 

Cumulative Percentage Distribution of'Time Aggregation 18 

Errors for Estimating Plume Opacity Duration Over a SixMinute Period When a Five-Percent Opacity Error Factor 

is Included 

Difference Between Observers: Time-Aggregate Method 20 

iv 
P.8 

ACKNOWLEDGMENT 

The authors are grateful to the following persons for their assistance 

in the preparation of this report: Laura Hudson for the timely and accurate 

entry of the bulk of the data points analyzed, Phil Piserchia of the Research 

Triangle Institute for his continued statistical advice and assistance, and 

Kirk Foster, EPA Work Assignment Manager, for his assistance and guidance. 
P.9 

. p. 

SUMMARY 

Reference Method 9 (Method 9) has been established by EPA as the standard 

method for determining the opacity of visibl e emissions for those sources subjec t to New Source Performance Standards (NSPS). Method 9 includes the 

following: 

o Observer certification . Requirements are established for periodic 

trainin g and certificatio n of observers. I 

o Observation procedures. Guidance i s given on observer position relativ e 

to plume, sun, and wind direction and the point in the plume where opaci t y i s to be determined. 

o Field data. The minimum information and data to be recorded on-site 

is specified. Opacity observations are to be taken and recorded at 15-

second intervals . 

o Data reduction. Twenty-four consecutive observations are averaged (six -

minute average). 

o Error margin. The positive error margins for thi s observation and data 

reduction method are presented. 

While Method 9 is the designated compliance monitoring method for NSPS 

and State opacity regulations that specify a six-minute data averaging technique, EPA has found that six-minute averaging of'opacity data may not be 

clearl y relatable to many State regulations. EPA i s therefore investigating 

the use of other data reduction procedures, and their associated error margins, 

to be used when the six-minute average i s not applicable. 

This report compiles and evaluates opacity error data developed during a 

series of EPA fiel d trials , for observations averaged over time periods other 

than six minutes and for observations reduced and reported using time-aggregate 

data reduction procedures. The following significan t points should be noted 

concerning the opacity method fiel d tests and thi s error evaluation: 

o In fiv e series of fiel d tests occurring over a ten-year period, 41,160 

individual 15-second opacity observations were taken and analyzed. In 

In addition , 140,250 15-second observations at industrial fugitive emission sources were evaluated to determine the precision between pajirs of 

observers. Thus, a substantial body of tes t data was available for use 

in thi s error analysis. 

o During the fiel d tests , currently certifie d observers with a range 

of opacity reading experience were used. Opacity observations 
P.10 

were compared to a reference opacity measured by in-stack opacity meters 

(transmissometers). Method 9 field observation procedures (i.e., observer positioning ) were followed in all field tests. 

o The observer error (in percent opacity) associated with averaging times 

from 15 seconds to eight minutes was determined. For the time-aggregate 

data reduction procedure, the observer error was determined in seconds. 

The major conclusions from this evaluation are as follows: 

Averaging Procedure 

o For all averaging periods from 15 seconds to 8 minutes, there was a tendency 

by the observers to underestimate the opacity. Depending on the averaging 

time, from 55 to 58% of the observations either had no positive error or 

were less than the actual opacity. 

o For all averaging periods, a strong tendency to read close to the 

actual opacity values was seen. From 49 to 55% of the observations 

were within 5% of the measured opacity, depending on the averaging 

period. 

o From 86% to 89% of the averaged observations, depending on the averaging 

time, had a positive error of 7.5% opacity or less. Fron 91% to 94% of 

the averaged observations had a positive error of 10% opacity or less. 

Time-Aggregate Procedures 

0 There was a yery strong tendency to estimate the actual plume duration 

accurately. 51% of the determinations had no time error (the observer 

read the plume as over 20% opacity fcr the same time as recorded by the 

transmissometer). 67% of the determinations were within 15 seconds of 

being correct. 

o 70% of the determinations were either correct or underestimated the time 

of excess opacity. When a 5% opacity factor* was used, 87% of the determinations were either correct or underestimated the time of excess opacity. 

0 95% of the determinations showed a positive error of 105 seconds or less 

for a 360-second plume observation period. When a 5% opacity factor was 

used, the positive error was 45 seconds or less. 

o The studies showed some variability in opacity data between studies. 

The time the observer read 25% opacity or above was compared to the time the 

transmissometer recorded 20% opacity or above. 
P.11 

. p 

SECTION 1 : 

INTRODUCTION 

Reference Method 9 is the promulgated method for use in determining 

opacity of visible emissions for New Source Performance Standards. In 

Method 9, field observation procedures (such as observer position witlh 

respect to the sun), observer certificatio n procedures, and data reduction 

procedures are specified. Method 9 specifies that opacity observations wil l 

be taken and recorded at 15-second intervals , with 24 consecutive observations averaged (six-minute average). Method 9 is also used for federally 

enforceable State regulations that include a six-minute average opacity 

standard. 

Many states have regulations where a six-minute average is not the 

method of choice, however. The observation procedures and certificatio n 

requirements are basically the same as in Method 9, but different techniques 

for reducing the data are applied. For the purposes of thi s evaluation, the 

State regulations where a six-minute average is not used can be grouped into 

the following three categories (1): 

o Time-exception regulations. Visible emissions are allowed to exceed 

a given opacity standard only for a limited time period. An example 

regulation: "Visible emissions shall not equal or exceed 20%'opacity 

except for 5 minutes/hour." 

o Instanteous limitatio n (CAP) regulations. These regulations usually 

appear with time-exception regulations, and prohibit visiole emissions 

above a given opacity at any time. An example: "Visible emissions 

shall not equal or exceed 20% opacity except for 5 minutes/hour. 

Visible emissions shall not exceed 60% opacity at any time." 

o Time-averaged regulations. In some instances, averaging times other . 

than six minutes are specified in opacity regulations. 

EPA has conducted studies of short-term averaging (<6 minutes) and nonaveraging data reduction procedures to address these types of State regulations where a six-minute averaging procedure is not specified or utilized . 

This document presents an evaluation of the error margins for these other 

data reduction procedures: 

o Time aggregation. This procedure is used with time-exception regulations . Individual observations are taken at 15-second intervals , but 

are not averaged. Rather, each observation above the opacity limi t 
P.12 

is counted and aggregated as 15 seconds of excess opacity. A violation of the opacity standard occurs if the aggregated time above the 

standard exceeds the time exemption allowed in the regulation (i.e., 

more than 5 minutes of excess emissions per hour). 

o Single event or short-term average. The opacity errors reported for 

averaging times of 15 seconds (no averaging) to 2 minutes (averaging 

of 8 consecutive observations) can be used to evaluate error margins 

for the "CAP" type of standard. 

o Averaging for other than six minutes. Individual opacity observations 

taken at 15-second intervals are averaged for the specified time 

period. 
P.13 

SECTION 2 

DESCRIPTION OF FIELD STUDIES 

Over the past ten years, EPA has conducted five series of fiel;d tests to 

evaluate observer error for a variety of plume types. During each |of these 

tests, the following conditions were met: 

o Observers had a mix of experience levels. 

o Observers were currently certified. 

o Observer positioning relative to the plume was in conformance with 

Method 9. 

o Opacity observations were made and recorded at 15-second internals. 

o Actual opacity was measured by in-stack opacity meters'(transmissometers) 

concurrently with the observer opacity determinations. 

o Smoke generators calibrated in the same manner as those used to certify 

opacity observers were used to produce standard black and white plumes. 

One study series also included industrial stack emissions. ! 

i 

These field studies are described in detail in the various study reports 

appearing in the Reference Section of this report. 

Brief descriptions of the study data forming the basis for this opacity 

error evaluation are presented here: 

o Research Triangle Park (RTP). This study was conducted to evaluate 

alternative data recording and reduction techniques for highly intermittent plumes. Half the observers recorded 15-second observations, 

while the other half used stopwatches to record the time of! excess 

emissions. Observations were taken in consecutive six-minute data 

sets with periodic rest breaks. Only the 15-second observations were 

evaluated in this report. (2) 

o Florida I (FLI). Twelve-minute series of opacity observations were 

• taken, with six minutes of nearily constant opacity "hidden" v-n-thin 

each twelve minutes. (3) 

o Florida II (FL2). Similar to Florida I, except that the hidden six 

minutes were slowly changing opacities. (4) 

o Fugitive emissions 1 (FE1). This study was designed to evaluate the 

ability of observers to accurately assess the- opacity of fugitive (nonstack) emissions. However, only readings of emissions from the smoke 
P.M 

generator stack were used in thi s report. As in Florida I , six 

minutes of constant opacity were hidden in each twelve-minute 

data set. (5) 

o Collaborative Study of Method 9 (C0L9). This study was conducted 

in support of the 1974 repromulgation of Method 9. Emissions 

from a coal-fired power plant, a sulfuri c acid plant, and a smoke 

generator were observed. (6) 

These studies are summarized in Table 1. 

In addition to the 

pari sons were made under 

opacity observations mad 

existing EPA visible emi 

no reference opacity val 

. ers (there were no t 

nf-asure the consistency 

ously. Fugitive emi 

included rock crushers, 

and blast furnace cast h 

fiv e fiel d st 

controlled c 

e at fugitiv e 

ssion data ba 

ues available 

ransmissomete 

(or precision 

ssion sources 

material hand 

ouse emi ssion 

udies where opacity observation comonditions, a large body of "paired" 

emission sources was obtained from 

ses and evaluated. Since there were 

to compare the accuracy of the obrs), these data were used strictl y to 

) between two observers reading simul' 

where opacity data were collected 

ling processes, and BOF roof monitors 

s in the steel industry. (7) 
TABLE 1. EPA FIELD STUDIES OF OPACITY METHODS (1973-1981) 

P.15 

Study and Type 

of Visible Emission 

Date of 

study 

No. of 15-sec 

observations 

collected 

Reference Method 9 

Collaborative Studies (C0L9) 

White Smoke Generator 

Black Smoke Generator 

Sulfuric Acid Plant 

Power Plant 

Alternate Method 9 Studies 

Research Triangle Park (RTP 

White Smoke Generator 

Black Smoke Generator 

Orlando Florida (FLI ): 

White Smoke Generator 

Black Smoke Generator 

Jacksonville Florida (FL2): 

White Smoke Generator 

Black Smoke Generator 

Fugitive Emissions Study (FEl) 

White Smoke Generator 

Black Smoke Generator 

November 1973 

November 1973 

January 1974 

Aug - Sept 1974 

May 1980 

October 1980 

January 1981 

December 1980 

4250 

3325 

7450 

11350 

6840 

5376 

9120 

8208 

3888 

3888 

1920 

1920 
P.16 

SECTION 3 

OPACITY ERROR EVALUATION TECHNIQUE 

AVERAGING DATA REDUCTION PROCEDURES 

The raw data for thi s analysis consisted of individual 15-second ob--

servations and the corresponding reference values recorded by the trans- , 

missometers. The 15-second values were entered in the order in which they 

were taken by individual observers. Consecutive observations taken by the same 

observer of the same plume color, and with no more than 30 minutes between 

sets of observations, were considered continuous for the purposes of thi s 

analysis. The sole exception to thi s was the C0L9 Study. In that case, 

six-minute averages published in a previous study report were used rather 

than the individual 15-second observations. The C0L9 data tabulation i s 

reproduced in Appendix A. 

The opacity error data for the individual studies shown in Table 1 were 

compiled and tabulated by black and white plume colors. These data are in -

cluded in Appendices B and C. The opacity error data summarized in Section 

4 (Table 3), however, combines errors for black and white plumes. Industrial 

plumes actually observed in the fiel d are rarely a pure black or white. 

Summarizing the data without distinctio n as to plume color i s more indicative 

of the error expected under actual fiel d conditions. 

Any opacity observation has three possibilities : to be correct, to overestimate the opacity, or to underestimate the opacity. As a regulatory agency, 

EPA i s concerned with both types of errors . I f an observed value is too; high, 

there is the possibilit y of falsely citin g a violation . I f the observed: 

value i s too low, then a true violation could occur without being cited . 

The results are therefore separately reported in terms of both negative and 

positive errors . 

Ten averaging periods were chosen for evaluation: 15 seconds (one 15-

second observation), 30 seconds (two 15-second observations), one minute 

(four 15-second observations), two minutes, three minutes, and so on through 

eight-minute averages (32 15-second observations). Each 15-second observation 

was compared to the corresponding transmissometer opacity measurement, and 

the difference (error) calculated. The errors in the 15-second observations 

for the averaging period being considered were then summed and averaged. 

•To analyze al l possible of data sets, rollin g averages were used as in 

Method 9. An example of thi s technique for a one-minute averaging time (four 

15-second observations) is shown below: 

15-second observation #1 

15-second observation #2 

15-second observation #3 

15-second observation #4 

15-second observation #5 

15-second observation #6 

3 OX 

25% 

30% T 

30% | 

35% | 

30% |. 

1 

~T 1 

1 1 

| | average #1 

I "average #2 

average #3 
P.17 

The average error of each set of observations was classified and grouped 

for the purpose of constructing cumulative distributions and percentage di stri 

bution data arrays. Eleven classes of opacity error were chosen. They are 

liste d in Table 2 with a description of each. 

TABLE 2: ERROR CLASSES USED IN DEVELOPING PERCENTAGE DISTRIBUTIONS 

Error Classes 

in % Opacity 

Error Direction 

and Range 

< 

-14.9% to 

- 9.9% to 

- 4.9% to 

- fi.9% to 

0% to 

+ 1.1% to 

+ 5.1% to 

+ 7.6% to 

+10.1% to 

> 

-

-

-

-

-

+ 

+ 

+ 

+ 

+ 

+ 

15.0% 

10.0% 

5.0% 

1 .0% 

0.1% 

1 .0% 

5.0% 

7.5% 

10.0% 

15.0% 

15.0% 

underestimated opacity by 15% or more 

underestimated opacity by 10% to 14.9% 

underestimated opacity by 5% to 9.9% 

underestimated opacity by 1% to 4.9% 

underestimated opacity by 0 to 0.9% 

overestimated opacity by 0 to 1.0% 

overestimated opacity by 1.% to 5.0% 

overestimated opacity by 5.1% to 7.5% 

overestimated opacity by 7.6% to 10.0% 

overestimated opacity by 10.1% to 15.0% 

overestimated opacity by more than 15.0% 

After grouping the observer errors into the right class interval , the 

data sets in each class were summed, and the percentage of data sets 

for each error class was calculated. The resulting percentage value for 

each of the ten averaging periods is presented in Table 3, Section 4 by 

waging times, and in Appendices B and C Ly study, plume color, averaging 

time, and observer. 

TIME-AGGREGATE DATA REDUCTION PROCEDURES 

Data reduction for the time-aggregate procedure is fundamentally different 

from averaging. 15-second observations at or above the opacity standard 

(assumed to be 20% in these studies) are counted, and when the time aggregated 

(15 seconds per reading) exceeds the time exception allowed, a violation occurs 

For these studies, six-minute data sets (24 consecutive 15-second observations ) were used. The aggregated time the observer recorded opacities above 

20% was compared to the time the opacity exceeded 20% as recorded by the transmissometer. The difference in these times is the observer error. 

The error evaluation for time-aggregate data reduction presented in thi s 

report was based on an extensive statistica l analysis reported earlier. (8) 

Only data from the Research Triangle Park (RTP) study, and Florida I and 

I I (FLI and FL2) studies were used. 
P.18 

Data on actual time above the opacity level of interest (20%) were not recorded in the other studies used in assessing opacity error by the averaging 

data reduction procedure. 

Observer errors were grouped in 15-second increments. Potential errors 

ranged from an observer error of - 360 seconds (the observer showed 0 seconds 

of opacities in excess of 20% but the transmissometer recorded 360 seconds 

above 20% opacity) to + 360 seconds (the observer showed 360 seconds of 

opacity in excess of 20% but the transmissometer recorded no seconds above 20%). 

Each six-minute data set was evaluated for seconds of observer error, 

and then assigned to the proper error level category. Data sets at each 

error level were then calculated, and the percentage of all data sets at each 

error level was determined. Results are presented in Section 4. 

The effect of using a 5% opacity "offset" was- also examined. In this 

evaluation, the same analysis was performed as explained above, except that 

the time the observer read above 25% opacity was compared to the time the 

transmissometer measured opacities above 20%. The effect of the 5% opacity 

factor on observer error is also discussed in Section 4. 

OBSERVER PRECISION - FUGITIVE EMISSION STUDY 

The differences between opacity observations made by pairs of observers 

reading the same plume simultaneously were evaluated in another study. (7) 

The data base consisted of a large number of observations made at industrial 

fugitive emission sources. The paired readings were compared using several 

different data reduction methods, including two, three, and six-minute averages, 

and time aggregate. The results were then compared with the between-observer 

precision estimates from the field studies made under controlled conditions. 

Standard deviations of the paired observations were calculated for each 

of the data reduction procedures evaluated. This gives a measure of consistency 

(or precision) between the observers, but not the accuracy (how close to true 

opacity values) of the observer. The precision values calculated from the 

industrial emission data (where there was no transmissometer data) were then 

compared to similarly calculated precision values from the RTP study (where 

transmissometer data was available) for time aggregation and from the C0L9 

Study for six-minute averages. The results of this comparison are discussed 

in Section 4. For purposes of this evaluation, only the between-observer 

precision estimates are presented and discussed. The details of the Fugitive 

Emission Study, including scope, types of emission sources observed, and manner 

in which data were collected and analyzed, as well as other analyses 

performed, are reported in Reference 7. 

10 
P.19 

SECTION 4 

EVALUATION OF ERROR RESULTS 

AVERAGING DATA REDUCTION PROCEDURES 

The data tables in Appendix B present a detailed breakdown of opacity 

errors by individual study for different averaging periods and error levels 

(Tables B-l through B-10). In each table, data sets (and the corresponding; 

percentage of total data sets) are shown for the eleven error levels I 

starting with a positive error of more than 15% opacity down to a negative 

error of 15% or greater. The percentages are also presented cumulatively 

to allow the determination of the percentage distribution at any level 

of error. 

The data in Appendix B are summarized in Table 3, which represents a composite percentage distribution of opacity error data for all the studjies. 

The data are summarized without regard to plume color or type of study. The 

data in Table 3 show a strong central tendency for all averaging periods. Such 

a tendency is also shown in Table 4, where the percent of readings wijthin + S% 

and + 1 % of the true opacity values, by the different averaging times, is given. 

From 49% to 55% of the observations were within 5% of the true value,' and from 

15% to 17% of the observations were within 1%. 

The data in these tables also show a slight negative bias overall; that 

is, the observers had a tendency to underestimate the opacity. Table: 5 displays the percent of data sets having little o-r no positive error; the 

range is from 55 to 58%, depending on the averaging time. Thus, opacity observations averaged over 15 seconds to eight minutes will be slightly more 

likely to be correct or underestimate the opacity than to overestimate the 

opacity. 

An opacity error probability curve can be constructed from the error 

data reported in Table 3. Such a curve is shown in Figure 3. The lines 

plotted for individual 15-second observations and eight-minute averages 

serve to define the range of error values for averaging times from the 

shortest to the longest time interval considered in this report, the 

shaded area between the two lines represents percentage distribution of 

opacity errors for averaging intervals between 15 second and eight minutes. 

The probability curve can be used to estimate approximately the jamount 

of error expected at any probability level or the reverse. For example, 

the median error for all the averaging intervals from 15 seconds to eight 

minutes is about - 2.5%. That is, half the observations underestimated the 

opacity by more than - 2.5%, while the other half either underestimated the 

opacity from 0 to - 2.5%, or overestimated the opacity. These curves can be 

used to find the maximum expected error at any other level of probability and 

11 
TABLE 3. PERCENTAGE DISTRIBUTION OF OPACITY ERRORS BY AVERAGING TIME 

ERROR DIRECTION 

AND RANGE 

Positive Error: 

More than +15% 

+15% or Less 

+10% or Less 

+7.5% or Less 

+5% or Less 

+1% or Less 

Negative Error: 

0% or More 

-1% or More 

-5% or More 

-10% or More 

-15% or More 

15s 

4% 

96 

91 

86 

80 

65 

55 

55 

34 

19 

8 

30s 

4 

96 

91 

87 

80 

64 

56 

54 

33 

17 

7 

lm 

3 

97 

91 

87 

80 

64 

57 

53 

32 

16 

6 

2m 

3 

97 

92 -

87 

81 

63 

57 

52 

32 

15 

5 

AVERAGING TIME 

3m 

2 

98 

93 

88 

81 

63 

57 

52 

31 

14 

5 

4m 

2 

98 

93 

88 

81 

63 

57 

52 

31 

14 

5 

5m 

2 

98 

93 

88 

81 

63 

57 

52 

31 

13 

4 

6m 

2 

99 

94 

89 

83 

64 

58 

52 

31 

13 

4 

7m 

2 

98 

94 • 

89 

82 

63 

57 

51 

31 

13 

4 

8m 

1 

99 

94 

89 

82 

63 

56 

51 

31 

13 

4 

12 
P.21 

r r r •••":-v 

TABLE 4: PERCENT OF DATA WITHIN 1% AND 5% OF ACTUAL OPACITY 

Averaging 

time 

% of Data 

within + 5% 

% of Data 

within + 1% 

15 

30 

1 

2 

3 

4 

5 

6 

7 

s 

s 

m 

m 

m 

m 

m 

m 

m 

8 m 

49 

50 

51 

52 

53 

53 

54 

56 

55 

55 

15 

15 

16 

16 

16 

16 

16 

17 

17 

17 

TABLE 5: PERCENT OF DATA HAVING LESS THAN ONE PERCENT AND ZERO POSITIVE!ERROR 

Averaging 

time 

% of Data With 1% or 

less positive error 

% of Data with 

zero positive error 

15 

30 

1 

2 

3 

4 

5 

6 

7 

s 

s 

m 

m 

m 

m 

m 

m 

m 

8 m 

65 

64 

64 

63 

63 

63 

63 

64 

63 

63 

55 

56 

57 

57 

57 

57 

57 

58 

57 

56 

13 
P.22 

TABLE 4: PERCENT OF DATA WITHIN H AND 5% OF ACTUAL OPACITY 

Averaging 

time 

15 s 

30 s 

1 m 

2 m : 

3 m i 

4 m ; 

5 m 

6 m 

7 m 

% of Data 

within + 5% 

% of Data 

within + V 

8 tn 

49 

50 

51 

52 

53 

53 

54 

56 

55 

55 

15 

15 

16 

16 

16 

16 

16 

17 

17 

17 

TABLE 5: PERCENT OF DATA HAVING LESS THAN ONE PERCENT AND ZERO POSITIVE ERROR 

Averaging 

time ' 

% of Data With 1% or 

less positive error 

% of Data with 

zero positive error 

15 

30 

1 

2 

3 

4 

5 

6 

7 

8 

s 

s 

m 

m 

m 

m 

m 

m 

m 

m 

65 

64 

64 

63 

63 

63 

63 

64 

63 

63 

55 

56 

57 

57 

57 

57 

57 

58 

57 

56 

13 
P.23 

20 

15 

10 

? 5 

D 

!= 0 

T~I—i—i—r i . i 

c 

o 

-5 

-10 

-15 

O INDIVIDUAL 15-SECOND READINGS' 

A 8-MINUTE AVERAGES 

-20 

10 20 30 40 50 60 70 80 90 95 98 99 99.5 99. 

OPACITY OBSERVATIONS, cumulative percent 

•Figure 1. Cumulative percentage distributio n of opacity errors for 

averaging times of 15 seconds to 8 minutes. 

14 
P.24 

averaging interval . For example, an observer has about a 95% chance of 

making an 11% to 14% opacity error or less for averaging times of eight 

minutes down to 15 seconds, respectfully . 

The data also show some variation in error levels between the different 

studies conducted. These variations can be seen in the tables in Appendix B. 

For example in Table A-5, fo r 3-minute averages, the data for FLI showed that 

observers determining the opacity of black plumes had no positive errors in 

96% of the observations (7491 out of 7790 averages), while the FL2 data 

showed that 56% of the observations (2086 out of 3690 averages) had no positive 

error. 

Table 6 shows an analysis taken from the study report (7) on observer 

precision (or consistency), as determined during opacity observations by 

pairs of observers at industrial fugitiv e emission sites . These values show 

a sligh t improvement in precision as the averaging time increases from two 

to six minutes.. The observer precision of a six-minute opacity average shown 

for the fugitiv e emissions data, 2.1%, compares favorably with the observer 

precision of 2.6% reported for the C0L9 Study. (4) 

TABLE 6: DIFFERENCE BETWEEN OBSERVERS: OPACITY AVERAGING METHOD 

% of Observations 

• Opacity Number Standard where difference 

averaging of Deviation between observers 

period observations (% opacity) was < 7.5% opacity 

15-second 140,250 3.4 87 

single reading 

92 

92 

2 mi nutes 

3 minutes 

6 mi nutes 

17,69.4 

11,836 

5,954 

2.6 

2.4 

2.1 

15 
P.25 

TIME-AGGREGATE PROCEDURE 

The observer error for the time-aggregate procedure is shown in Tables 

7 and 8. The data are displayed in the form of frequency distributions of 

the time errors for each study as well as the cumulative frequency distri -

bution of the entire data set. In Table 7, the error data show a strong centra l tendency, with 51% of the data having zero error. 

Table 7 also shows a tendency t o understate time duration of the 

plume (no positive error) when using the time-aggregate technique. That 

i s , 70% of the time determinations were either correct or underestimated 

the time of excess emissions. 

Table 8 presents the same error data with the inclusion of a 5% opacity 

factor; that is , any opacity reading had to be at least 5% above the standard 

to be aggregated. When a 5% opacity factor is used, 87% of the time determinations were correct or underestimated the time of excess emissions. The 

pronounced central tendency for time-aggregated data is also graphically 

illustrate d in the cumulative frequency curve in Figure 2. 

i 

The:tables can be used to find the probabilit y of no positive error 

with different time error margins (with or without a 5% opacity factor). 

For example, with a 15-second error margin and 0% opacity factor, 81% of 

the readings had no positive error. Using a 5% opacity factor and a 15-

second error margin, 92% of the readings had no positive bias. In applying 

thi s concept in a visible emission observation program, the 5% opacity factor 

plus 15-second error margin would be used as follows: the number of 15-

second readings 5% or more above the standard would be aggregated; then an 

extra 15-seconds of excessive opacity for each six minutes of opacity 

observations would be required before declaring a violation . 

These results show a substantial increase in the probabilit y of no positiv e bias occurring when a small opacity factor and time error margin are 

used. A 5% opacity factor and 15-second error margin increases the probabilit y of no positive error from 70% to 92% {Table 8). 

Tables 7 and 8 also show some variation in error frequency distributions 

between studies as well as differin g amounts of error data scatter within each 

study. For example, in scanning down the data column in Table 7 with the heading of "RTPB" (RTP study/black plumes), i t can be seen that errors are clustered 

around zero seconds error level , with very good precision and a slight positive 

bias. FL1B, on the other hand, shows a similar central tendency but a wider 

data spread, indicating lower observer precision and a considerable negative bias 

Table 9 shows an analysis taken from the study report (7) on observer precision in determining opacity of industrial fugitiv e emissions. For observed 

time equal to or greater than 20% opacity, the observers were able to estimate 

plume duration with a standard deviation of 190 seconds per six-minute observatio n period. With a 5% opacity factor, the standard deviation was 130 seconds. 

16 
p.a£ 

TABLE 

Error, 

Seconds 

-360 

-34 5 

-33 0 

-31 5 

-30 0 

-28 5 

-27 0 

-25 5 

-24 0 

-22 5 

-21 0 

-19 5 

-18 0 

-16 5 

-15 0 

-13 5 

-12 0 

-10 5 

- 9 0 

- 7 5 

- 6 0 

- 4 5 

- 3 0 

- 1 5 

0 

15 

30 

45 

60 

75 

90 

105 

120 

135 

150 

165 

180 

195 

210 

225 

240 

255 

270 

285 

300 

315 

330 

345 

360 

7. CUM ULATIVE PERCENTAGE DISTRIBUTION OF 1 

ESTIMATING PLUME OPACITY DURATION OVER 

RTPB 

7 

23 

142 

46 

9 

6 

2 

-

No. of Data Sets By Field Evaluation Study 

RTPW FL1B FL1W FL2B 

12 3 

2 1 

2 1 

2 

5 

1 1 

3 1 

14 1 

5 3 

1 2 

2 1 

15 2 1 

5 3 2 

5 1 

3 3 2 

2 1 1 

2 1 1 

2 3- 4 

2 2 

8 2 1 

2 2 2 

2 2 

1 2 1 4 

16 6 5 2 

197 70 91 26 

59 1 3 11 

33 5 2 

16 1 3 

6 2 2 6 

5 1 2 4 

1 2 2 

1 2 1 

5 

2 1 

6 6 

1 

4 

2 

1 3 

2 

7 

1 -

1 

1 

3 

TIME AGGR EGATIO.N ERRC 

A SIX MINUTE PERIOD 

FL2W 

- 42 

1 

1 

11 

3 

2 

3 

19 

1 

1 

2 

4 

TOTAL 

SUM 

15 

3 

3 

2 

5 

2 

4 

15 

8 

3 

3 

18 

10 

6 

8 

4 

4 

9 

4 

11 

6 

4 

15 

52 

568 

121 

50 

37 

21 

14 

8 

23 

6 

4 

12 

1 

2 

4 

4 

2 

4 

2 

7 

1 

0 

0 

1 

1 

3 

111 0 

)RS FC 

% 

1 

0 

0 

0 

0 

0 

0 

1 

1 

0 

0 

2 

1 

1 

1 

0 

0 

1 

0 

1 

1 

0 

1 

5 

51 

11 

5 

3 

2 

1 

1 

2 

1 

0 

1 

0 

0 

0 

0 

0 

0 

0 

1 

0 

0 

0 

0 

0 

0 

R 

CUM% 

1 

2 

2 

2 

3 

3 

3 

4 

5 

5 

6 

7 

8 

9 

9 

10 

10 

11 

11 

12 

13 

13 

15 

19 

70 

81 

86 

89 

91 

92 

93 

95 

96 

96 

97 

97 

97 

98 

98 

98 

99 

99 

99 

100 

100 

100 

100 

100 

100 

17 
TABLE 8 . CUMULATIVE PERCENTAGE DISTRIBUTION OF TIME AGGREGATION 

Error, 

Seconds 

-36 0 

-34 5 

-33 0 

-31 5 

-30 0 

-28 5 

-27 0 

-25 5 

-24 0 

-22 5 

-21 0 

-19 5 

-18 0 

-16 5 

-15 0 

-13 5 

-12 0 

-10 5 

- 9 0 

- 7 5 

- 6 0 

- 4 5 

- 3 0 

- 1 5 

0 

15 

30 

45 

60 

75 

90 

105 

120 

135 

150 

165 

180 

195 

210 

225 

240 

255 

270 

285 

300 

315 

330 

345 

360 

ERRORS FOR 

ESTIMATING PLUME OPACITY DURATION OVER A SIX MINUTE PERIOD WHEN A 

FIVE PERCENT OPACITY ERROR FACTOR IS INCLUDED 

No. of Data Sets By Field Evaluation Study 

RTPB RTPW FL1B FL1W FL2B FL2W 

43 10 4 

6 1 1 

2 1 

2 2 

3 1 

2 3 2 

3 1 2 

24 1 

4 10 

2 4 

1 3 2 

19 2 

2 2 2 * 

2 2 

2 1 

3 1 2 1 

2 7 

1 1 3 5 1 

2 3 3 4 1 1 

2 3 1. 2 4 2 

12 11 1 3 7 2 

21 19 2 4 2 5 

41 47 1 5 8 3 

140 199 50 93 19 38 

11 34 1 8- 4 

3 11 1 2 

2 4 1 2 6 11 

SUM 

57 

8 

3 

4 

4 

7 

6 

25 

14 

6 

6 

21 

6 

4 

3 

0 

7 

9 

11 

14 

14 

36 

53 

105 

539 

58 

17 

26 

3 1 1 1 5 j 11 

3 3 

1 2 

1 1 9 

1 1 

1 

1 2 

3 

11 

2 

1 

3 

0 

3 1 4 

2 2 

1 

1 

1 

1 

4 

1 

1 

0 

1 

1 

0 

0 

• 

1 

TOTAL 

0 

0 

0 

1 

1110 

% 

5 

1 

0 

0 

0 

1 

1 

2 

1 

1 

1 

2 

1 

0 

0 

0 

1 

1 

1 

1 

1 

1 

5 

Q 

49 

5 

2 

2 

1 

0 

0 

1 

0 

0 

0 

0 

0 

0 

0 

0 

a 

0 

0 

0 

0 

0 

0 

0 

0 

CUM% 

5 

6 

6 

6 

7 

7 

8 

10 

12 

12 

13 

15 

15 

15 

16 

16 

16 

17 

l'S 

19 

21 

24 

29 

38 

87 

92 

93 

96 

97 

97 

97 

98 

98 

99 

99 

99 

99 

100 

100 

100 

1.00 

100 

100 

100 

100 

100 

100 

100 

100 

1 

P.27 

18 
P.28 

100 

90 — 

80 

70 

60 

< 

< 

Q 

o 50 

LU 

I - < 

CD 

laU 

CC 

CD 

O 

< 

UJ 40 

30 

20 

10 

O WITHOUT ERROR FACTOR 

A WITH 5i PERCENT ERROR FACTOR 

A AAAAAAoOOOO-

_ Afi M ooo 

AA OOO 

AAA OOO 

A OO 

O 

A O 

O 

A 

A O 

AAA 

AAA* 

AAA AA 

AA 

OO 

.oo 

oo 

oo 

oo 

i ooo 

o 

ooo 

NEGATIVE POSITIVE 

360 210 60 0 

ERROR,seconds 

90 240 360 

Figur e 2 Cumulativ e percentag e distributio n of tim e aggregatio n error s i n 

estimatin g plume opacit y duratio n ove r a si x minut e period . 

19 
P.29 

This is roughly comparable to a reader precision value of 159 seconds found 

during the RTP study (no opacity factor). This finding indicates that observers 

were about as consistent in reading industrial plumes as in reading smoke generator 

plumes. Again, observer precision i s an indication of consistency between 

observer; i t does not indicate how accurate each observer is relative to the 

"true" opacity. 

TABLE 9. DIFFERENCE BETWEEN OBSERVERS: TIME-AGGREGATE METHOD 

Parameter 

Observed Time > 15% opacity 

Observed Time > 20% opacity 

Observed Time > 25% opacity. 

Observed Time > 30% opacity 

MEAN VALUE 

^Standard Deviation/Mean x 100 

Mean 

Aggregate Time 

(seconds) 

520 

296 

183 

129 

-

Standard 

Deviation 

(seconds) 

239 

190 

130 

104 

166 

Relative Std. 

Deviation1 

(percent) 

46 

64 

71 

81 

66 

OTHER OPACITY ERROR ANALYSES 

The opacity error evaluation results presented in this report are only 

part of a larger body of statistical analysis data which has been developed 

on these and other opacity data reduction and reporting techniques. For 

detailed information on other evaluations and analyses performed on the same 

opacity data bases used in this report see the references at the end of this 

report. In particular, References 6-10 offer extensive statistical analysis 

information on the precision and accuracy of visible emission observations. 

LIMITATIONS 

The error analysis presented in this report is most applicable for 

opacity observations in the 15% to 60% opacity range as the bulk of the 

data collected during the method evaluation studies was in this range. 

For this reason, extrapolation of the results from this series of field 

studies and error analysis to opacity levels of less than 15% opacity is 

not as well supported. It is likely, however, that the magnitude of the 

observer error will be smaller in the less than 15% opacity range because 

the measurement range is smaller. 

20 
P.30 

REFERENCES 

1. Opacity Regulations: Summary of State Regulations and Rulemaking Status, 

Contractor Report prepared by Pacific Environmental Services, Inc. for 

USEPA, Stationary Source Compliance Division, Washington, .D. C , February 

1983. 

2. Field Evaluation of Opacity Reading Methods for Intermittent Plumes, 

Contractor Report prepared by Del Green Associates, Inc. for USEPA, 

Stationary Source Compliance Division, Washington, D. C , December 198V. 

3. Field Evaluation of Opacity Frequency Method for Continuous Plumes, 

Contractor Report prepared by Del Green Associates, Inc. for USEPA, 

Stationary Source Compliance Division, Washington, D. C , December 1981. 

4. Field Evaluation of Opacity Frequency Method for Slowly Changing Plumes, 

Contractor Report prepared by Del Green Associates, Inc. for USEPA, 

Stationary Source Compliance Division, Washington, D. C , December 1981. 

5. Rose, T.'H., Evaluation of Trained Visible Emission Observers for Fugitive 

Emission Opacity Measurement, EPA 600/3-84-093, USEPA, Research Triangle, 

Park, N. C., October 1984. 

6. Hamil, H. F., Evaluation and-Col 1aborative Study of Method for Visual 

Determination of Opacity of Emissions from Stationary Sources, 

EPA 650/4-75-009, USEPA, Research Triangle Park, N. C , January 1975. 

7. Evaluation of Visible Fugitive Emission Data, Final Contractor Report 

prepared by Del Green Associates, Inc. for USEPA, Stationary Source 

Compliance Division, Washington, D. C , November 1983. 

8. Piserchia, P.V., Statistical Analysis of Visible Emissions Field Tests, 

Contractor Report prepared by Research Triangle Institute for USEPA 

Stationary Source Compliance Division, Washington. D.C , February 18, 1982 

February 18, 1982. 

9. Technical Guideline: Alternative Procedures for Reduction and Reporting 

of Method 9 Opacity Readings, Final Draft Report, USEPA, Stationary Source 

Compliance Division, Washington, D. C , October 1983. 

10. Hartwell, T.D., Examining the Properties of Qualified Observer Opacity 

Readings Averaged Over Intervals of Less than Six Minutes, Contract 

Report prepared by Research Triangle Institute for USEPA, Emission 

Standards and Engineering Division, Research Triangle Park, N. C , 

July 1976. 

21 
P.31 

APPENDIX A 

TABULATIONS OF OPACITY ERROR DATA FOR EPA REFERENCE METHOD 9 (SIX-MINUTE 

Excerpt from EPA Contract Report - Evaluation and Collaborative Study of 

Method fo r Visual Determination of Opacity of Emissions from Stationary 

Sources (Interim Report), USEPA, Research Triangle Park, North Carolina, 

October, 1974. 

A-l 
P.32 

III. DATA AND ANALYSIS 

A. Terminology 

This interim report deals only with the question of how closely the average opacity reported by a qualified 

observer matches the average opacity obtained from an in-slack transmissometer. The variable studied is the dcvialion of the average opacity obtained by the observer from the transmissometer average. The results are summarized 

in frequency distributions for the separate cases. The following terms are defined to facilitate the understanding of 

ihis report: 

(1) Determination: The arithmetic mean of 25 consecutive opacity readings taken at 15-second intervals. 

(2) Meter average: The average opacity of the plume as determined by the in-stack transmissometer during 

the course of a run. 

(3) Deviation: The difference between a determination and the corresponding meter average; deviation = 

determination — meter average. 

(4) n: The number of deviations in a given set. 

(5) Frequency distribution: A set of intervals with the number of times that values fall within each interval. 

(6) FR: Frequency. The number of deviations that fa!! within a certain interval. 

(7) RF: Relative Frequency. The proportion of deviations that fall within a certain interval. RF = FR/n. 

(8) CF: Cumulative Frequency. The number of deviations that fall in or below a certain interval. 

(9) >RCF: Relative Cumulative Frequency. The proportion of deviations that fall in or below a certain 

interval, RCF = CF/n. 

A frequency distribution with FR, RF, CF and RCF is presented for each data set. With the exception of the 

data from ihe first lest at Riverbend Steam Station, the intervals used arc unit intervals centered around the integers 

from - 7 io'7. The extreme deviations are included as greater th3n 7.5 or less than -7.5. Since the observers qualify 

by having an average deviation of 7.5-percent opacity or less, any values in these ranges can be considered to be inaccurate. A histogram showing the frequency distribution of each set is provided, with relative frequency on the y-axis. 

Relative frequency is chosen since it provides a better basis for comparison of data sets with unequal numbers of 

deviations. 

B. Training Generator 

Two smoke generators and 9 collaborators were used to obtain the data. After 15 runs, one of the collaborators 

began operating the second transmissometer and did not make any further observations. This cave a total of 303 

separate determinations of average opacity. The first 10 and the last 1 0 sampling runs were made using a white plume, 

and the remaining I 6 using a black plume. The result was 1 70 determinations on white smoke and 1 33 made on 

black smoke. The cases are dealt with separately. 

1. White Smoke 

. The determinations made by the observers are shown in Table 5 along wilh the mcier averages from each 

run. From ihis ublc, the deviations of the observers from ihe meter arc computed, and these are shown in Table 6. 

The frequency distribution formed by these deviations is shown in Table 7 and graphically represented by the histogram in Figure 2. 

A-2 
P.33 

TABLE 5. DETERMINATIONS OF OPACITY OF TRAINING GENERATOR, WHITE SMOKE 

(Percent Opacity) 

Run 

No. 

1 

2 

3 , 

4 

5 

6 

7 

8 

9 

10 

2 7 ' 

28 

29 

30 

31 

32 

33 

34 

35 

36 

1 

12.8 

10.6 

8.8 

27.0 

11.2 

5.6 

8.8 

31.2 

22.6 

9.4 

17.4 

8.6 

10.0 

13.0 

18.2 

32.2 

19.0 

9.0 

14.S 

12.4 

2 

12.0 

9.0 

5.8 

28.2 

9.6 

4.6. 

8.4 

22.6 

15.4 

7.6 

17.4 

6.4 

8.8 

14.S 

20.8 

29.4 

3 8.8 

8.8 

17.0 

10.2 

3 

10.8 

11.2 

8.6 

23.8 

12.0 

5.0 

7.0 

24.6 

13.6 

8.4 

19.2 

8.6 

12.4 

15.8 

17.4 

30.8 

20.8 

13.6 

20.4 

9.8 

Observer 

4 

13.2 

11.0 

9.6 

22.6 

12.0 

6.6 

7.2 

24.4 

16.6 

7.8 

19.6 

7.4 

10.6 

19.4 

18.4 

28.6 

19.6 

9.6 

16.4 

10.0 

5 

10.6 

8.2 

6.0 

13.6 

11.4 

5.8 

7.6 

20.2 

19.6 

10.0 

18.8 

8.0 

11.4 

15.4 

19.6 

27.6 

16.6 

7.2 

17.0 

9.4 

6 

J 7.4 

10.6 

8.6 

22.2 

12.8 

5.8 

8.2 

21.0 

17.4 

7.8 

17.4 

6.2 

11.4 

12.0 

12.8 

18.2 

15.0 

7.2 

13.0 

7.4 

7 

11.0 

8.4 

6.6 

14.6 

11.8 

6.0 

7.2 

21.4 

20.6 

9.0 

16.4 

5.2 

8.7 

13.6 

13.8 

23.6 

18.8 

7.8 

15.8 

9.2 

8 

10.6 

12.8 

8.6 

25.0 

11.4 

5.0 

7.6 

27.4 

17.0 

7.2 

16.4 

5.2 

8.2 

12.6 N 

10.8 

23.2 

13.0 

7.0 

11.0 

S.O 

9 

13.0 

14.8 

10.0 

24.0 

11.2 

6.6 

7.4 

27.4 

16.0 

8.6 

Transmissometer 

10.0 

13.6 

9.2 

23.8 

12.3 

4.7 

7.6 

34.0 

25.4 

12.4 

13:1 

8.6 

9.0 

11.2 

14.3 

31.3 

13.2 

16.8 

18.7 

i 14.6 

TABLE 6. DEVIATION FROM TRAINING GENERATOR, WHITE SMOKE 

(Pcfcci-i Opacity) 

TABLE I. DEVIATION FREQUENCY 

DISTRIBUTION, TRAININC GENERATOR. WHITE SMOKE 

Run 

No. 

1 

2 

*s 

J 

4 

5 

6 

7 

S 

9 

10 

27 

28 

29 

30 

31 

32 

33 

34 

35 

1 36 

1 

2.S 

-3. 0 

-0.4 

3.2 

-1.1 

0.9 

1.2 

-2.8 

-2.8 

-3.0 

4.3 

0.0 

1.0 

1.8 

3.9 

• 0.9 

5.S 

-7.8 

-3.9 

-2.2 

, 2 

2.0 

-4.6 

-3.4 

4.4 

.-2.7 

-0.1 

0.8 

-11.4 

-10.0 

-4.8 

4.3 

-2.2 

-0.2 

! 3.6 

, 6-5 

-1.9 

5.6 

' -8.0 

. -1.7 

-4.4 

3 

0.8 

-2.4 

-0.6 

0.0 

-0. 3 

0.3 

-0.6 

-9.4 

-11. 8 

-4.0 

6.1 

0.0 

3.4 

4.6 

3.1 

-0. 5 

7.6 

-3.2 

1.7 

-4.8 

4 

3.2 

-2. 6 

0.4 

-1.2 

-0. 3 

1.9 

-0.4 

-9.6 

-8.8 

-4.6 

6.5 

-1. 2 

1.6 

8.2 

4.1 

-2.7 

6.4 

-7.2 

-2. 3 

-4.6 

Observer 

5 

0.6 

-5.4 

-3.2 

-10.2 

-0. 9 

1.1 

0.0 

-13. 8 

-5. 8 

-2.4 

5.7 

-0. 6 

2.4 

4.2 

5.3 

-3. 7 

3.4 

-9.6 

-1.7 

-5. 2 

6 

7.4 

-3. 0 

-0. 6 

-1. 6 

0.5 

1.1 

0.6 

-13. 0 

-8. 0 

-4. 6 

4.3 

-2.4 

2.4 

0.8 

-1. 5 

-13.1 

1.8 

-9. 6 

-5.7 

-7.2 

7 

1.0 

-5. 2 

-2. 6 

-9. 2 

-0. 5 

1.3 

-0.4 

-12. 6 

-4. 8 

-3.4 

3.3 

-3. 4 

-0. 3 

2.4 

-0.5 

-7.7 

5.6 

-9. 0 

-2. 9 

-5.4 

8 

0.6 

-0. 8 

-0. 6 

1.2 

-0. 9 

0.3 

0.0 

-6. 6 

-8.4 

-5. 2 

3.3 

-3.4 

-0. 8 

1.4 

-3. 5 

-8.1 

-0.2 

-9. 8 

-7.7 

-6. 6 

-

9 

3.0 

1.2 

O.S 

0-2 

-1.1 

1.9 

-0.2 

-6. 6 

-9.4 

-3. 8 

Interval 

<-7. 5 

-7. 5 to -6.5 

-6.5 to -5.5 

-5-5 to -4.5 

-4.5 to -3.5 

-3. 5 to -2. 5 

-2. 5 to -1.5 

-1.5 to -0.5 

-0.5 to 0.5 

0.5 to 1.5 

1.5 to 2.5 

2,5 to 3.5 

3.5io 4.5 

4.5 to 5.5 

5.5 lo 6.5 

6.5 io 7.5 

>7.5 

FR 

24 

5 

2 

12 

5 

17 

10 

14 

I T 

19 

10 

9 

S 

i 

6 

3 

2 

RP 

0.M 

0.03 

0.01 

0.07 

0.03 

0.10 

0.06 

O.OS 

0.13 

0.11 

0.06 

0.05 

0.05 

0.01 

004 

0.02 

0.01 

CF 

24 

29 

31 

43 

48 

65 

75 

89 

111 

130 

140 

149 

157 

159 

165 

168 

170 

RCF 

0.14 

0.17 

0.18 

0.25 

0.28 

0.3S 

0.44 

0.52 

0.65 

0.76 

0.82 

0.87 

0.92 

0.93 

0.97 

0.99 

1.00 

A-3 
P.34 

0.14 : 

1— 1—i— 

0.01 

'—I — 

I—I—I 

0.03 

— r — 

_i__ -

0.06 

—+— 

0.08 

— ( — 

RF 

- 0.50 

. 0.40 

-0.3 0 

- 0.20 

U.I J 

0.11 

— r — 

• 

— f — — r — '—1— • 

0.01 

-—r— 

I—, — 

0.02 

1 

i r^ 

0.01 

-i 1 

-8-7-6-5-4-3-2-1 0 5 6 8 1 2 3 4 

Deviations, % opacity 

FIGURE 2. DEVIATION FREQUENCY HISTOGRAM, TRAINING GENERATOR, WHITE SMOKE 

As can be seen, ihe center of the frequency lies between —1.5 and 1.5. There were 26 observations which 

deviated by ±7.5 percent from ihe meter average, and 24 of these were below the meter average. 

2. Black Smoke 

The 133 determinations of black plume opacity are shown in Table 8, along with the transmissometer 

averages for the 16 runs. Using these data, the deviations are calculated and presented in Table 9. The black smoke 

deviations form the frequency distribution in Table 10, which is represented by the histogram in Figure 3. 

TABLE 8. DETERMINATIONS OF OPACITY OF TRAINING GENERATOR, BLACK SMOKE 

(Percent Opacity) 

Run 

No. 

11 

12 

13 

14 

15 

16 

17 

) 8 

19 

20 

21 

22 

23 

24 

25 

26 

I 

24.4 

7.4 

20.0 

17.6 

7.4 

9.6 

13 6 

13.2 

12.6 

12.0 

1 K.6 

29.2 

14.S 

7.8 

15.0 

22.(1 

2 

20.4 

9.6 

20.2 

14.4 

1 1.4 

5.2 

11.0 

14.0 

10.2 

10.8 

1 K.2 

17.0 

1 1.4 

H.O 

12.2 

20.2 

3 

22.0 

10.0 

22.6 

15.6 

12.6 

5.8 

12.0 

13.4 

16.4 

13.8 

17.2 

25.2 

15.8 

11.4 

15.2 

23.2 

Observer 

4 

23.2 

10.4 

24.0 

19.6 

14.0 

4.6 

11.0 

14.2 

16.2 

14.0 

21.0 

29.4 

17.4 

11.4 

20.4 

24.2 

5 

19.0 

10.6 

22.2 

17.2 

12.8 

8.8 

10.4 

10.0 

11.4 

11.6 

17.2 

29.4 

15.0 

10.0 

15.8 

23.0 -

6 

21.4 

7.6 

20.8 

19.6 

12.0 

5.6 

12.0 

13.8 

14.8 

12.4 

23.0 

31.2 

17.4 

11.6 

16.6 

24.4 

7 

21.6 

11.2 

23.2 

20.0 

13.0 

4.8 

11.2 

11.6 

11.2 

11.8 

17.8 

30.0 

13.4 

8.4 

15.8 

22.0 

8 

2] .8 

8.4 

21-8 

20.2 

13.0 

4.8 

12.4 

11.8 

15.0 

13.6 

19.2 

28.6 

13.0. 

8-6 

15.6 

19.8 

9 

25.4 

12.0 

23.0 

17.0 

12.4 

Transmissometer 

35.0 

10.8 

26.0 

20.0 

12.3 

16.0 

11.0 

17.6 

17.6 

13.6 

18.0 

28.2 

13.8 

9.0. 

14.8 

22.2 

9 

A-A 
TABLE 9. DEVIATION FROM TRAINING GENERATOR, BLACK SMOKE 

(Percent Opacity) 

TABLE 10. DEVIATION FREQUENCY DISTRIBUTION, 

TRAINING GENERATOR, 

BLACK SMOKE 

Run 

No. 

I I 

12 

13 

14 

15 

16 

17 

18 

19 

20 

21 

22 

23 

24 

25 

26 

1 

-10.6 

-3.4 

-6.0 

-2.4 

-4.9 

-6.4 

2.6 

-4.4 

-5.0 

-1.6 

0.6 

1.0 

1.0 

-1.2 

0.2 

-0.2 

2 

-14.6 

-1.2 

-5.8 

-5.6 

-0.9 

-10.8 

0.0 

-3.6 

-7.4 

-2.8 

0.2 

-11.2 

-2.4 

-1.0 

-2.6 

-2.0 

3 . 

-13.0 

-0.8 

-3.4 

-4.4 

0.3 

-10.2 

1.0 

-4.2 

-1.2 

0.2 

-0.8 

-3.0 

2.0 

2.4 

0.4 

1.0 

4 

-11.8 

-0.4 

-2-0 

-0.4 

1.7 

-11.4 

0.0 

-3.4 

-1.4 

0.4 

3.0 

1.2 

3.6 

2-4 

5.6 

2.0 

Observer 

5 

-16.0 

-0.2 

-3.8 

-2.8 

0.5 

-7.2 

-0.6 

-7.6 

-6.2 

-2.0 

-0.8 

1.2 

1.2 

1.0 

1.0 

0.8 

6 

-13.6 

-3.2 

-5.2 

-0.4 

-0.3 

-10.4 

1.0 

-3.8 

-2.8 

-1.2 

5.0 

3.0 

3.6 

2.6 

1.8 

2.2 

7 

-13.4 

0.4 

-2.8 

0.0 

0.7 

-11.2 

0.2 

-6.0 

-6.4 

-1.8 

-0.2 

1.8 

-0.4 

-0.6 

1.0 

-0.2 

8 

-13.2 

-2.4 

-4.2 

0.2 

0.7 

-11.2 

1.4 

-5.8 

-2.6 

0.0 

1.2 

0.4 

-0.8 

-0.4 

0.8 

-2.4 

9 

-9.6 

1.2 

-3.0 

-3.0 

0.1 

-

Interval 

<-7. 5 

-7.5 to -6.5 

-6. 5 to-5. 5 

-5.5to-4. 5 

-4. 5 to-3. 5 

-3. 5 10-2. 5 

-2. 5 to -1. 5 

-1.5 to -0.5 

-0. 5 to 0.5 

0.5 to 1.5 

1.5 lo 2.5 

2.5 to 3.5 

3.5 to 4.5 

4.5 lo 5.5 

5.5 to 6.5 

6.5 to 7.5 

>7.5 

FR 

17 

0 

10 

3 

7 

13 

11 

10 

26 

20 

8 

4 

2 

1 

1 

0 

0 

RF 

0.13 

0.00 

0.08 

0.02 

0.05 

0.10 

0.08 

0.08 

0.20 

0.15 

0.06 

0.03 

0.02 

0.01 

0.0! 

0.00 

0.(10 

CF 

17 

17 

27 

30 

37 

50 

61 

71 

97 

117 

125 

129 

131 

132 

133 

133 

133 

RCF 

0.13 

0.13 

0.20 

0.23 

0.28 

0.38 

0.45 

0.53 

0.73 

0.88 

0.94 

0.97 

0.98 

0.99 

1.00 

1.00 

1.00 

RF 

0.50 

-- 0.40 

-• 0.30 

0.20 

0.13 

0.10 

0.08 

0.00 0.02 

SLQ5. 

0.0S 0.08 

0.15 

0.06 

0.03 0.02 0.01 0.01 

- * • • -— ' 

8 

- 3 - 7 - 6 - 5 - 4 - 3 - 2 -1 0 1 2 3 4 5 6 7 

Devtaiion, percent opacity 

FIGURE 3. DEVIATION FREQUENCY HISTOGRAM. TRAINING GENERATOR, BLACK SMOKE 

For these data, ihe center of the distribution is between -6. 5 and 1.5. similar io the white smoke. There 

arc 17 determinations with deviations in excess of ±7.5 percent, and alt of these arc negative. 

C. Stauffer Chemical Company 

A total of 30 sampling runs were made over a two-day period. Eleven cillubui JI.US nude 14 runs ihe Ursi day. 

•md 9 collaborators made 16 the second for a total of 298 separate dcicrmii.ai.-.ns. On \\w •.•.V-HHI day. .-he o.lbhm.ilorsread the opacity in 1-percent increments ralher than the 5-perecnt increment specuie,! in ihe nu-Hu-d. the 

10 

A-5 
P.36 

TABLE 11. DETERMINATIONS OF OPACITY. STAUFFER CHEMICAL 

Run 

No. 

1 

2 

3 

4 

5 

6 

7 

8 

9 

- io 

It 

12 

13 

14 

15 

16 

17 

IS 

19 

20 

21 

22 

23 

24 

25 

26 

27 

:s 

29 

30 

1 

7 

5 

5 

5 

7 

5 

5 

5 

18 

7 

1 

5 

5 

5 

0 

0 

0 

0 

9 

6 

5 

5 

3 

3 

4 

5 

S 

6 

t> 

7 

1 

1

 2 

3 

1

 1 

' 0 

0 

2 

. 3 

3 

3 

10 

i 5 

0 

2 

2 

;-3 

0 

0 

. 0 

0 

8 

9 

9 

i 7 

• 4 

s 

• 6 

1

 9 

9 

9 

10 

10 

.. 

7 

7 

7 

6 

6 

6 ' 

6 

6 

IS 

8 

3 

5 

4 

5 

1 

I 

1 

0 

8 

7 

5 

5 

4 

3 

5 

7 

7 

6 

S 

5 

4 

6 

5 

4 

3 

5 

5 

5 

5 

15 

7 

1 

5 

5 

3 

0 

1 

2 

0 

10 

12 

6 

5 

5 

3 

6 

10 

13 

16 

15 

16 

0.i.\ervcr 

5 

5 

5 

3 

1 

4 

2 

5 

5 

12 

10 

1 

4 

3 

5 

0 

3 

1 

0 

12 

13 

10 

5 

6 

5 

7 

13 

13 

17 

13 

15 

6 

5 

5 

5 

5 

5 

5 

5 

5 

14 

8 

4 

5 

5 

5 

0 

4 

3 

) 

14 

14 

10 

6 

7 

5 

7 

13 

16 

17 

16 

15 

7 

4 

4 

4 

4 

5 

5 

5 

5 

11 

9 

2 

6 

5 

7 

3 

4 

1 

1 

7 

6 

5 

5 

2 

2 

2 

4 

5 

4 

5 

5 

8 

5 

4 

4 

3 

5 

3 

3 

4 

9 

5 

0 

3 

4 

4 

0 

1 

0 

0 

9 

10 

6 

5 

5 

'" 5 

9 

11 

8 

9 

14 

14 

9 

5 

4 

4 

4 

6 

6 

6 

6 

14 

8 

5 

5 

5 

5 

3 

5 

3 

4 

9 

8 

6 

5 

5 

5 

5 

6 

7 

5 

7 

6 

10 

7 

7 

3 

3 

6 

6 

6 

5 

12 

9 

4 

5 

5 

5 

11 

3 

2 

3 

2 

4 

3 

2 

2 

13 

8 

1 

2 

1 

3 

Meter 

9 

8 

S 

8 

8 

8 

8 

8 

14 

7 

5 

6 

6 

6 

2 

2 

5 

4 

10 

10 

10 

10 

7 

7 

7 

9 

9 

9 

9 

9 

ihe sun in the quadrant to their rear. For evaluation of the method, these 

The two other variations. 90-deg angle and reading in 1-percent increment 

ations were m3de outside the constraints of the method. 

individual readings were rounded lo the 

nearest 5 percent prior to averaging 

them. Since the "true " opacity of the 

plume during any sampling run could 

only be oblained to the nearest percent, 

the observers averages were rounded to 

the nearest percent for comparison. The 

determinations and meter averages are 

shown in Table 11. 

The deviations from the transmissometer are shown for the Stauffer test in 

Table 12. From these data, the frequency 

distribution in Table 13 is constructed 

and represented by the histogram in 

Figure 4. It can be seen that 75 percent 

of these deviations occur from- 1 to 

—5 inclusive. There are four determinations with deviations in excess of 7.5 percent, and these are divided evenly between 

high and low. 

D . Riverben d Stea m Statio n 

The three testing periods at the 

Riverbend Steam Station are treated as 

separate cases due to the differences in 

sky conditions. The data sets are divided 

three ways. The control group was reading within the conuaints of the method. 

In addition, when the experimental 

group was at a 45-deg angle io the sun, 

tiiey satisfied the requirement of having 

runs are included with the control group. 

s, are presented separately since the dcleimin1. Test ! 

Ten runs were made under poor viewing conditions by len collaborators. The determinations made by 

the contro! cr.oup are presented in Table 14, while those of the experimental group appear in Table 15. In run 10, 

the entire control group and one of the experimental observers do not have a determination. Due to the sky conditions and interference from another plume, the observers felt that at certain times they were unable to make an evaluation of the plume opacity, and thus no averages could be calculated that corresponded to both the meter and to each 

other. The deviations from the meter average arc shown in Tables 1 6 and 17. 

The frequency distributions are constructed wilh the control deviations and the experimental deviations 

from runs 1. 1 and 8 used for the method. The experimental deviations from runs 2. 3, 9 and 10 are used for the 

90-deg variation, and from runs 4, 5 and 6 for the 1-percent variation. 

The frequency distribution table for the method is shown in Table 1 S and graphically presented in 

Fie ure 5. Tnese daia have such an extreme negative bias that the class intervals were selected io center around ihe 

integers from -1 6 to -I . Only 10 of the 60 determinations were within 7.5 percent of the meter average, and the 

highest of these was -4.3 . The frequency distributions for the other two cases follow a similar pattern and are shown 

in Table 19 and Figure 6 for the 90-deg data and in Table 20 and Figure 7 for the 1-percent data. 

11 

A-6 
P.37 

TABLE 12. DEVIATIONS FROM METER AVERAGE, 

STAUFFER CHEMICAL 

Run 

No. 

1 

2 

3 

4 

5 

6 

7 

8 

9 

10 

11 

12 

13 

14 

15 

16 

17 

IS 

19 

20 

2! 

->-) 

23 

- i ' 

25 

26 

27 

2S 

29 

30 

1 

_2 

- 3 

^ 3 

- 3 

-1 

- 3 

- 3 

- 3 

4 

0 

- 4 

- 1 

-1 

- 1 

_2 

- 2 

- 5 

- 4 

- 1 

- 4 

- 5 

- 5 

— ** 

—- -** 

- 3 

—4 

- 1 

- 3 

- 3 

- 2 

2 

- 6 

- 7 

- 8 

- S 

- 6 

- 5 

- 5 

- 5 

- 4 

_2 

- 5 

- 4 

-4 

- 3 

_ 2 

_ -i 

- 5 

- 4 

_-) 

- 1 

- 1 

- 3 

- 3 

- 2 

-! 

0 

0 

0 

1 

• 1 

3 

- 2 

- 1 

'-1 

- 2 

- 2 

- 2 

- 2 

- 2 

1 

, 1 

- 2 

- 1 

- 2 

- 1 

- 1 

- 1 

- 4 

' - 4 

_2 

, - 3 

- 5 

- 5 

' - 3 

- 4 

• _ 2 

_2 

_*> 

- 3 

. - 1 

. - 4 

4 

- 3 

- 3 

- 4 

- 5 

- 3 

- 3 

- 3 

- 3 

1 

0 . 

- 4 

- 1 

- 1 

- 3 

- 2 

- 1 

- 3 

- 4 

0 

2 

- 4 

- 5 

_ • > 

— 4 

- 1 

1 

4 

7 

6 

7 

Observe 

5 

- 4 

- 3 

- 5 

- 7 

- 4 

- 6 

- 3 

- 3 

- 2 

3 

- 1 

- 2 

- 3 

- 1 

- 2 

1 

- 4 

- 4 

2 

3 

0 

- 5 

- 1 

_2 

0 

4 

4 

8 

4 

6 

6 

- 4 

- 3 

- 3 

- 3 

- 3 

- 3 

- 3 

- 3 

0 

- 1 

- 1 

- 1 

- 1 

- 2 

2 

_2 

- 3 

4 

4 

0 

- 4 

0 

- 2 

0 

4 

7 

8 

7 

6 

7 

- 5 

- 4 

- 4 

- 4 

- 3 

- 3 

- 3 

- 3 

- 3 

2 

- 3 

0 

- 1 

1 

-1 

2 

-4 

- 3 

- 3 

- 4 

- 5 

- 5 

- 5 

- 5 

- 5 

- 5 

-A 

- 5 

- 4 

- 4 

8 

- 4 

- 4 

- 4 

- 5 

- 3 

- 5 

- 5 

- 4 

- 5 

- 2 

- 5 

- 3 

- 2 

- 2 

-*? 

- 1 

- 5 

- 4 

- 1 

0 

- 4 

- 5 

- 2 

_2 

2 

1 

-I 

0 

5 

5 

9 

- 4 

- 4 

- 4 

- 4 

- 2 

- 2 

- 2 

- 2 

0 

1 

0 

- 1 

-1 

- 1 

1 

3 

_2 

0 

- 2 

- 2 

—4 

_5 

- 2 

- 2 

_2 

- 3 

- 2 

- 4 

- 2 

- 3 

10 

- 2 

- 1 

- 5 

- 5 

- 2 

- 2 

- 2 

- 3 

- 2 

2 

- 1 

- 1 

- 1 

- I 

11 

- 6 

- 6 

- 5 

- 6 

- 4 

- 4 

- 6 

- 6 

- I 

1 

- 4 

- 4 

- 5 

- 3 

0.18 

RF 

-I- 0.50 

-- 0.40 

•• 0.30 

•• 0.20 

0.16 0.16 

0.11 

0.03 

0.01, 0.01 

0.14 -

- 0.10 

0.06 

TABLE 13. DEVIATION FREQUENCY 

DISTRIBUTION, STAUFFER 

CHEMICAL 

Interval 

<-7. 5 

-7.5 to-6. 5 

-6. 5 to -5. 5 

-5.5 to -4. 5 

-4. 5 to-3. 5 

-3. 5 to-2. 5 

-2.5 to -1. 5 

-1. 5 to-0. 5 

-0.5 to 0.5 

0.5 to 1.5 

1.5 io 2.5 

2.5 io 3.5 

3.5 io4.5 

4.5 io 5.5 

5.5 io 6.5 

6.5 lo7.5 

>7.5 

FR 

2 

2 

8 

34 

49 

49 

53 

41 

18 

12 

8 

3 

8 

2 

3 

4 

2 

RF 

0.01 

0.01 

•0.03 

0.11 

0.16 

0.16 

0.18 

0.14 

0.06 

0.04 

0.03 

0.01 

0.03 

0.01 

n.oi 

0.01 

0.01 

CF 

2 

4 

12 

46 

95 

144 

197 

238 

256 

268 

276 

279 

287 

289 

292 

296 

298 

RCF 

0.01 

0.01 

0.04 

0.15 

0.32 

0.48 

0.66 

0.80 

0.86 

0.90 

0.93 

0.94 

0.96 

0.97 

0.98 

0.99 

1.00 

0.04 0.03 0.03 

10.01 0.01 0.01 0.01 0.01 

- . i • i • i ~ 

-8-7-6-5-4-3-2-1 0 1 2 3 4 5 6 7 

Deviations, percent opacity 

FIGURE 4. DEVIATION FREQUENCY HISTOGRAM. STAUFFER CHEMICAL 

12 

A-7 
P.38 

TAULE 14! CONTROL GROUP DETERMINATIONS, 

RIVERBEND STEAM STATION, TEST 1 

Run 

Nn. 

1 

2 

3 

4 

5 

6 

7 

8 

. 9 

10 

(Percent Opacily) 

Observer 

1 i 

6.4 

13.4, 

1 1.6 

5.4i 

8.4 

14.8 

17.6 

9.4 

1.2 

• 

2 

4.4 

8.2 

11.0 

4.4 

6.4 

7.6 

9.6 

3.2 

0.2 

• 

3 

6.2 

11.2 

10.6 

6.0 

7.8 

12.4 

12.4 

4.0 

2.4 

> 

•Incomplete data sheet. 

4 

5.2 

9.6 

13.8 

6.8 

6.6 

14.6 

14.2 

9.6 

5.6 

* 

5 

5.8 

12.8 

12.6 

4.8 

11.4 

9.0 

11.4 

1.8 

0.6 

• 

Transmissometer 

16.0 

23.5 

26.0 

11.6 

15.7 

26.1 

24.4 

14.2 

13.0 

13.4 

TABLE 16. CONTROL GROUP DEVIATIONS, 

RIVERBEND STEAM STATION, TEST 1 

Run 

No. 

1 I-J 

i. : 

-i 

5 • 

6 

7 

S 

o 

10 

1 

-9.6 

-10.1 

-14.4 

-6.2 

-7. 3 

-11. 3 

-6.8 

--4.K 

- 1 1.8 

" 

*> 

-11.6 

-15.3 

-15.0 

-7,6 

-9.3 

-18.5 

-14.8 

-11.0 

-12.8 

• 

'Incomplete data sheet. 

Observer 

3 

-9.8 

-12.3 

-15.4 

-5. 6 

-7.9 

-13.7 

-12.0 

-10.2 

-10.6 

* 

4 

-10.8 

-13.9 

-12.2 

-4.8 

-9.1 

-11.5 

-10.2 

-4.6 

-7.4 

* 

5 

-10.2 

-10.7 

-13.4 

-6.8 

-4.3 

-17.1 

-13.0 

-12.4 

-12.4 

-r 

TABLE 15. EXPCRIMENTALCROUP DETERMINATIONS, 

RIVERBEND STEAM STATION. TEST 1 

(Percent Opacity) 

Run 

No. 

I 

2 

3 

4 

5 

6 

7 

8 

9 

10 

1 

5.4 

6.6 

10.8 

5.2 

7.6 

12.2 

7.5 

4,4 

1.6 

2.0 

Observer 

2 

5.4 

6.2 

9.4 

5.5 

5.8 

8.5 

9.4 

6.0 

3.0 

3.0 

3 

1.8 

3.8 

7.8 

4.1 

5.9 

7.5 

4.6 

1.0 

0.2 

0.0 

•Incomplete data sheet. 

4 

5.8 

6.4 

13.0 

5.8 

5.9 

15.0 

8.6 

5.0 

1.0 

0.0 

5 

2.2 

4.4 

8.8 

6.5 

9.5 

8.9. 

7.0 

2.2 

0.4 

* 

Transmissometer 

16.0 

23.5 

26.0 

11.6 

15.7 

26.1 

24.4 

14.2 

13.0 

13.4 

TABLE 17. EXPERIMENTAL GROUP DEVIATIONS, 

RIVERBEND STEAM STATION, TEST 1 

Run 

No. 

1 

i 

3 

4 

5 

6 

7 

8 

9 

10 

1 

-10.6 

-16.9 

-15.2 

-6.4 

-8.1 

-13.9 

-16.9 

-9. 8 

-11.4 

-11.4 

'Incomplete da 

2 

-10.6 

-7. 3 

-16.6 

-6.1 

-9.9 

-17.6 

-15.0 

-8. 2 

-10. 0 

-10.4 

a sheet. 

Observer 

3 

-14.2 

-19.7 

-18.2 

-7.5 

-9.8 

-18.6 

-19.8 

-13.2 

-12. 8 

-13.4 

4 

-10.2 

-17.1 

-13.0 

-5. 8 

-9. 8 

-11.1 

-15. 8 

-9.2 

-12.0 

-13.4 

5 

-13.8 

-19.1 

-17.2 

-5.1 

-6.2 

-17.2 

-17.4 

-12.0 

-12.6 

• 

TABLE 18. METHOD DEVIATION FREQUENCY 

DISTRIBUTION. RIVERBEND STEAM 

STATION, TEST I 

filler val 

<-16. 5 

-16.5 to -15.5 

-15.5 to -14.5 

-14. 5 lo -13. 5 

-13.5 to -12.5 

-12.5 io -11.5 

-11.5 to -10.5 

-10,5 to -9. 5 

-9. 5 to -8.5 

-8. 5 to -7. 5 

-7. 5 to -6.5 

-6. 5 to -5. 5 

-5.5 io -4.5 

-4.5 io -3.5 

-3.5 to -2.5 

-2. 5 io 1.5 

1 -1.5 io-0.5 

FR 

5 

I 

5 

5 

4 

8 

8 

8 

3 

3 

4 

2 

3 

1 

0 

o 

! o 

RF 

0.08 

0.02 

0.08 

0.08 

0.07 

0.13 

0.13 

0.13 

0.05 

0.05 

0.07 

0-03 

0.05 

0 0 2 

0.00 

0.00 

0.00 

CF 

5 

6 

1-1 

16 

20 

28 

36 

44 

47 

50 

54 

56 

59 

60 

60 

60 

60 

RCF 

0.08 

0.10 

0.18 

0.27 

0.33 

0.47 

0.60 

0.73 

0.78 

0.83 

0.90 

0.93 

0.98 

1.00 

1.00 

1.U0 

1.00 

13 

A-8 
P.39 

0.13 0.13 0.13 

0.08 0.08 0.08 

0.02 

-i 1—•—I— - — . 

0.07 0.07 

0.05 0.05 

I—'—I—•—1—•— t 

0.05 

0.03 

I ' • ' 

0.02 

H h 

RF 

+ 0.50 

- - 0.40 

• - 0.30 

. - 0.20 

• -0.10 

-17 -16 -15 -14 -1 3 -12 -11 -1 0 - 9 - 8 - 7 - 6 - 5 - 4 ~3 - 2 - 1 0 

Deviations, percent opacity 

FIGURE 5. METHOD FREQUENCY HISTOGRAM, RIVERBEND STEAM STATION. TEST 1 

TABLE 19. 90-DEG VARIATION DEVIATION 

FREQUENCY DISTRIBUTION, RIVERBEND 

STEAM STATION, TEST 1 

Interval 

<-16. 5 

-16.5 to -15.5 

-15.5 10-14.5 

-14.5 lo -13. 5 

-13. 5 to-12. 5 

-12.5 io-11. 5 

-11.5 to -10. 5 

-10.5 to -9. 5 

-9. 5 to -8.5 

-8.5 to -7.5 

-7. 5 to -6. 5 

-6. 5 to -5. 5 

-5. 5 10-4. 5 

-4.5 to-3. 5 

-3.5 io -2. 5 

-2. 5 to -1.5 

-1. 5 to-0. 5 

FR 

8 

0 

1 

0 

5 

1 

2 

2 

0 

0 

0 

0 

0 

0 

0 

0 

1 ° 

RF 

0.42 

0.00 

0.05 

0.00 

0.26 

0.05 

0.11 

0.1! 

0.00 

0.00 

0.00 

0.00 

0.00 

0.00 

0.00 

0.00 

0.00 

CF 

8 

8 

9 

9 

14 

15 

17 

19 

19 

19 

19 

19 

19 

19 

19" 

19 

19 

RCF 

0.42 

0.42 

0.47 

0.47 

0.74 

0.79 

0.89 

1.00 

1.00 

1.00 

1.00 

•1.00 

1.00 

1.00 

1.00 

1.00 

1.00 

14 

A - 9 
P.40 

0.20 

i i ' 

0.00 

' ••;• i ' 

0.27 

0.20 

0.07 

— i — 

0.00 0.00 

1—1 1— 

0.07 

— 1 — —i— 

0.00 

— I — 

0.07 0.07 

\-rn-. i _ H — 

0.07 

— i — i—i • j j 

- 0.50 

0.40 

0.30 

-0.20 

- 0.10 

-17 -1 6 -15 -1 4 -1 3 -1 2 -1 1 -10 - 9 —S -7-6-5- 4 - 3 -2 - 1 0 

Deviations, percent opacity 

FIGURE 6. 90-DEG VARIATION FREQUENCY HISTOGRAM, RIVERBEND STEAM STATION, TEST I 

TABLE 20. J-PERCENT VARIATION DEVIATION 

FREQUENCY DISTRIBUTION, RIVERBEND 

STEAM STATION, TEST 1 

Interval 

<-16. 5 

-16. 5 to-15. 5 

-15. 5 io-14. 5 

-14. 5 to -13. 5 

-13.5to-12. 5 

-12.5l o -11-5 

-11. 5 lo -10.5 

-10. 5 io -9. 5 

-9.5to-8. 5 

-8. 5 to-7. 5 

-7.5to-6. 5 

-6. 5 to -5. 5 

-5. 5 to -4. 5 

-4. 5 io -3. 5 

-3. 5 lo -2.5 

-2. 5 10-1. 5 

-1.5l o -0.5 

FR 

3 

0 

0 

1 

0 

0 

1 

3 

0 

I 

1 

4 

1 

0 

0 

0 

o 

RF 

0.20 

0.00 

0.00 

0.07 

0.00 

0.00 

0.07 

0.20 

0.00 

0.07 

0.07 

0.27 

0.07 

0.00 

0.00 

0.00 

0.00 

CF 

J 

3 

3 

4 

4 

4 

5 

S 

8 

9 

10 

14 

15 

15 

15 

15 

15 

RCF 

0.20 

0.20 

0.20 

0.27 

0.27 

0.27 

0.33 

0.53 

0.53 

0.60 

0.67 

0.93 

1.00 

1.00 

1.00 

1.00 

1.00 

15 

A-alO 
P.41 

0.42 

j 1 — 

1 

0.26 

i 

! 

-•—1— 

0.05 

— 1 — —t— —!— 

0.05 

— i — 

0.11 0.11 

— I — — I — __i^ 1 1 1 1 , 1— \ ! 

RP 

-0.50 

-0.40 

0.30 

•0.20 

-0.10 

_ 1 7 _16 -15 -14 -1 3 -12 -1 1 -1 0 - 9 -8-7-6-5- 4 - 3 - 2 - 1 0 

Deviations, percent opacity 

FIGURE 7. 1-PERCENT VARIATION FREQUENCY HISTOGRAM. RIVERBEND STEAM STATION. TEST 1 

2. Test 2 

There were 18 runs made on the second test day. 

.c-mh run, the transmissometer initiated its automatic calibra 

calibration opacities (0% then 95%), and no measurement of 

TABLE 21. CONTROL CROUP DETER MEN A TIONS, 

RIVERBEND STEAM STATION, TEST 2 

(Percent Opacity) 

Run 

No. 

1 

i 

3 

4 

* 

1

 6 

1 7 

8 

! 9 

! 11-

12 

13 

l-l 

15 

j 16 

- 17 

IK 

i 

! 'R»r 

1 

11.2 

13.8 

10.0 

5.8 

20.0 

5.0 

13.8 

5.0 

14.4 

5.2 

5.6 

5.2 

9.4 

17.0 

7.8 

12.4 

7.6 

10 Liml 

Observer 

2 

5.8 

14.4 

9.2 

5.4 

15.0 

0.4 

11.4 

5.4 

10.6 

4.0 

2.2 

0.6 

7.0 

1 2.8 

7.(1 

8.0 

6.0 

3 

11.6 

13.2 

9.2 

5.6 

12.6 

4.4 

9.4 

6.6 

10.8 

5.0 

7.8 

5.0 

7.6 

16.8 

10.8 

10.0 

6.4 

J noi be comple 

4 

10.6 

14.8 

12.0 

6.2 

16.2 

1.0 

14.2 

5.2 

15,2 

7.6 

6.4 

0.0 

11.8 

21.8 

9.8 

12.4 

7.6 

led. 

5 

4.2 

5.6 

5.2 

3.4 

13.6 

0.0 

10.4 

0.8 

10.6 

4.4 

2.6 

0.0 

7.4 

15.2 

3.2 

S.2 

5.0 

Transmissometer 

14.4 

13.2 

11.2 

5.6 

16.4 

6.2 

11.6 

9.5 

15.0 

7.5 

10.8 

4.7 

10.1 

23.6 

13.5 

15-4 

13.6 

, but run 10 could not be used. During the course of the 

tion check. During this check, the meter shows only the 

the true plume-opaciiy was available. As a result, tlie 

run had to be aborted before 25 readings could be made. 

The determinations made by the 5 control observers 

are given in Table 21 , and those by the 5 experimental 

observers in Table 22. Two determinations are missing 

in the experimental set where the observers could not 

judge the opacity of the plume. 

The deviations from the meter average are 

given in Tables 23 and 24 for the control and experimental, respectively. The frequency distribution of 

the deviations obtained in the use of the method is 

shown in Table 25, using the control deviations and 

the experimental deviations from runs 3,4,7.8, 3 7 

and 18. The frequency distribution is represented by 

the histogram in Figure S. These values are also low 

biased but not to ihe extremes that the previous data 

were.' The center of the deviations is near -4 , and all 

IS values which differ from ihe meicr average by 

7.5 percent or greater arc negative. 

The frequency distribution for the 90-deg 

variation is given in Table 26 using runs 5, 6. 9, 13 

and 14 from ihe experimental daia. The histogram 

for these data is in Figure 9. These deviations are 

16 

A-l l 
P.42 

TABLE 22. EXPERIMENTAL CROUP DETERMINATIONS, 

RIVERBEND STEAM STATION, TEST 2 

(Percent Opacity) 

Run 

Nn. 

1 

2 

3 

4 

5 

6 

7 

S 

9 

Ut 

12 

13 

14 

15 

16 

17 

IS 

Observer 

1 

8.0 

13.7 

13.0 

4.6 

20.0 

0.4 

* 

1.8 

8.6 

4.4 

2.7 

0.0 

6.6 

13.6 

7.0 

8.4 

5.0 

2 

6.1 

'7. 2 

r 5.2 

1.4 

'13.8 

> 1.6 

: 8.0 

5.6 

i 6.0 

- 5.0 

. 3.4 

0.0 

4.8 

13.0 

6.0 

7.6 

6.0 

3 

4.3 

9.4 

3.4 

0.2 

11.4 

0.0 

6.6 

0.6 

5.4 

0.1 

0.0 

0.0 

0.6 

9.8 

2.3 

1.8 

2.2 

•Incomplete data shecl. 

t Run 1 0 no. compleied. 

4 

11.7 

11.3 

4.2 

3.4 

17.8 

0.0 

• 

4.2 

9.4 

2.6 

2.5 

0.0 

6.4 

15.6 

5.4 

10.0 

7.8 

5 

8.3 

8.6 

9.0 

4.0 

19.0 

3.0 

10.6 

3.8 

8.8 

3.6 

1.8 

0.0 

2.0 

12.3 

4.0 

7.0 

6.6 

Transmissomeler 

14.4 

13.2 

11.2 

5.6 

16.4 

6.2 

11.6 

9.5 

15.0 

7.5 

10.8 

4.7 

10.1 

23.6 

13.5 

13.4 

,,.« 

TABLE 23. CONTROL-GROUP DEVIATIONS, 

RIVERBEND STEAM STATION, TEST 2 

(Perccni Opacity) 

Run 

No. 

I 

2 

3 

4 

5 

6 

7 

8 

9 

11 

12 

13 

14 

15 

16 

17 

18 

1 

-3.2 

0.6 

-1. 2 

0.2 

3.6 

-1. 2 

2.2 

-4. 5 

-0. 6 

-2. 3 

-5. 2 

0.5 

-0. 7 

-6. 6 

-5.7 

-1. 0 

-6. 0 

2 

-8.6 

1.2 

-2.0 

-0.2 

-1.4 

-5.8 

-0.2 

-4.1 

-4.4 

-3.5 

-8.6 

-4.1 

-3.1 

-10.8 

-6.5 

-5.4 

-7.6 

Observer 

3 

-2.8 

0.0 

-2. 0 

0.0 

-3.8 

-1.8 

-2.2 

-2.9 

-4.2 

-2,5 

-3. 0 

0.3 

-2.5 

-6.8 

-2.7 

-3.4 

-7.2 

4 

-3.8 

1.6 

0.8 

0.6 

-0.2 

-5. 2 

2.6 

-4. 3 

0.2 

0.1 

-4.4 

-4.7 

1.7 

-1. 8 

-3.7 

-1. 0 

-6. 0 

5 

-10.2 

-7. 6 

-6. 0 

-2. 2 

-2. 8 

-6.2 

-1. 2 

-8. 7 

-4.4 

-3.1 

-8. 2 

-4. 7 

-2.7 

-8.4 

-10.3 

-5. 2 

-8. 6 

TABLE 24. EXPERIMENTAL GROUP DEVIATIONS. RIVERBEND STEAM STATION, 

TEST 2 

TABLE 25. METHOD DEVIATION FREQUENCY DISTRIBUTION. RIVERBEND 

STEAM STATION, TEST 2 

Run 

No. 

1 

2 

i 

H 

5 

6 

7 

8 ' 

9 , 

l i t 

12 

13 • 

.14 

15 

16 

IT-

'S 

•D-J ; 

NRyr 

I 

-6.4 

0.5 

1.8 

-1. 0 

3.6 

-5.8 

* 

-7.7 

-6.4 

-3.1 

-8.1 

-4.7 

-3.5 

-10. 0 

-6. 5 

-5. 0 

-8. 6 

j shee* ini. 

If) nn, ic 

2 

-8. 3 

-6. 0 

-6. 0 

-4.2 

-2.6 

-4.6 

-3. 6 

-3.9 

-9.0 

-2. 5 

-7.4 

-4.7 

-5.3 

-10.6 

.-7-5 

-5. 8 

-7.6 

ompleie. 

mpleied. 

Observer 

3 

-10.1 

-3. 8 

-7. 8 

-5.4 

-5. 0 

-6.2 

-5. 0 

-8. 9 

-9. 6 

-7.4 

-10. 8 

-4. 7 

-9. 5 

-13. 8 

-11. 2 

-11.6 

-11.4 

4 

-2.7 

-1. 9 

-7.0 

-2. 2 

1.4 

-6.2 

• 

-5. 3 

-5.6 

-4. 9 

-8. 3 

-4.7 

-3.7 

-8. 0 

-8.1 

-3.4 

-5. 8 

5 

-6.1 

-4. 6 

-2. 2 

-1. 6 

2.6 

-3.2 

-1. 0 

-5. 7 

-6. 2 

-3. 9 

-9. 0 

-4.7 

-8.1 

-11. 3 

-9. 5 

-6.4 

-7. 0 

Interval 

<-7. 5 

-7. 5 to-6. 5 

-6.5to-5. 5 

-5. 5 io -4. 5 

-4. 5 to-3. 5 

-3. 5 io -2.5 

-2. 5 to -1. 5 

-1. 5 io-0- 5 

-0. 5 io 0.5 

0.5 to 1.5 

1.5 to 2.5 

2.5to3. 5 

3.5 10 4.5 

4.5 to 5.5 

5.5 io 6.5 

6.5 io 7.5 

>7 5 

FR 

18 

6 

11 

10 

14 

12 

12 

10 

9 

5 

4 

1 

1 

0 

0 

0 

0 

RF 

0.16 

0.05 

0.10 

0 0 9 

0.12 

0.11 

0.11 

0.09 

0.08 

0.04 

0.04 

0.01 

0.01 

0.00 

0.00 

0.00 

0.00 

CF 

18 

24 

35 

45 

59 

71 

S3 

93 

102 

107 

111 

112 

113 

113 

113 

113 

1 13 

RCF 

0.16 

0.2! 

0.31 

0.40 

0.52 

0.63 

0.73 

0.82 

0.90 

0.95 

0.98 

0.99 

1.00 

1.00 

1.00 

1.00 

1.00 

17 

A - l 2 
P.43 

1 

0.16 

(a 

n i n 

0.05 

—*+— — f — 

0.09 

— J — 

0.12 

—f— 

0.11 

—r— —F— — 1 — 

RF 

0.50 

- 0.40 

- 0.30 

• 0.20 

0.10 

0.08 

0.04 0.04 

— I — 1—|—1 0.01 0.01 

1—•_]—1—1—1 1 1 1 1 

-8-7-6-5-4-3-2- 1 0 1 2 3 4 5 6 7 8 

Deviations, percent opacity 

FIGURE S. METHOD DEVIATION FREQUENCY HISTOGRAM. RIVERBEND STEA.M STATION. TEST 2 

TABLE 26. 90-DEG VARIATION FREQUENCY 

DISTRIBUTION, RIVERBEND STEAM 

STATION, TEST 2 

Interval 

<-7. 5 

-7.5 to -6.5 

-6.5 io -5.5 

-5.5 to -4.5 

-4.5 to-3. 5 

-3. 5 to -2.5 

-2.5 io-1. 5 

-1.5 to -0.5 

-0.5 to 0.5 

0.5 io 1.5 

1.5 lo2.5 

2.5 to 3.5 

3.5 io4.5 

4.5 to 5.5 

5.5 to 6.5 

6.5 io 7.5 

>7.5 

FR 

4 

0 

6 

8 

1 

3 

0 

0 

0 

1 

0 

1 

1 

0 

0 

0 

0 

RF 

0.16 

0.00 

0.24 

0.32 

0.04 

0.12 

0.00 

0.00 

0.00 

0.04 

0.00 

0.04 

0.04 

0.00 

0.00 

0.00 

0.00 

CF 

4 

4 

10 

18 

19 

22 

22 

22 

22 

23 

23 

24 

25 

25 

25 

25 

25 

RCF 

0.16 

0.16 

0.40 

0.72 

0.76 

0.88 

0.88 

0.88 

o.ss 

0.92 

0.92 

0.96 

1.00 

1.00 

1.00 

1.00 

LOO 

A - l 3 
P.44 

1 

i 

-

0.16 

0.00 

1—j — 

0.24 

— I — 

0.32 

— f — 

i 

0.04 

— 1 — 

0.12 

— 1 — 

0.00 o.oo 

• — 1 r — 

RF 

- 0.50 

0.40 

• 0.30 

- 0.20 

* 0.10 

0.04 

— 1 — 

0.00 

-a—4a . i 

0.04 

— 1 — __j — 

0.00 

— j : j i 

- 7 - 6 - 5 - 4 -3-2-1 0 1 2 

Deviations, percent opacity 

FIGURE 9. 90-DEG VARIATION FREQUENCY HISTOGRAM. RIVERBEND STEAM STATION.TEST 2 

t 

slight I v lower than those from the methods, with the majority falling between -6.5 and -4.5. There are 4 values 

which dcvi-ne by more than 7.5 percent from the meter average and all fall in the negative end of the distribution. 

TABLE 27. i-PERCENT VARIATION DEVIA- The 1-percent variation frequency distribution is given in 

TION FREQUENCY DISTRIBUTION, RIVER- Table 27 for the remaining-runs from the experimental group and 

BENDSTEAJM STATION, TEST 2 graphed in Figure 10. These deviations tend to be lower than either 

of the other two sets, and almost half fall below -7.5 percent. 

3. Test 3 

There were 24 runs by the 8 collaborators at the third testing period for a total of 192 determinations. The control croup determinations are-given in Table 2S and the experimental group determinations in Table 29 along with the meter average for each run. The deviations are given in Table 30 and 31 for the control and experimental 

groups, respectively. 

The deviations for evaluating the method come from the 

control group and from runs 3,4, 5, 6, 7, 8, 17. 18. 21 and 22 of ihe 

experimental group. The frequency distribution for these deviations is 

given in Table 32. The histogram representing these data is in Figure 11. 

As can be seen, the center of this distribution lies in the range from -0.5 

lo 1.5. There are 15 determinations which differ from tlie meter by more 

than 7.5 percent, 2 in the high end and 1 3 in the low end of the distribution. 

Tlie;90-deg variation frequency dislribution is in Table 33. und graphed in Figure 1 2. Tiiese deviaiions 

were laken froni the experimental group runs 1 3. 14. 1 5, 1 6, 23 and 24. These deviations have a low bias in comparison to the method deviations, centered between -3.5 and -1.5. One deviation lies in the lower end of the curve, 

while none are in the upper end. 

Interval 

<-7. 5 

-7.5 io -6. 5 

-6.5 io -5. 5 

-5. 5 iu -4.5 

-4.5 lo -3. 5 

-3.5 io -2. 5 

-2.5 to -1. 5 

-1.5 lo -0. 5 

-0.5 io 0.5 

0.5 io 1.5 

l.5-io2.5 

2.5 io*3.5 

3 5 io 4.5 

4.5 io5.5 

5.5 lo 6.5 

6.5 to 7.5 

>7.5 

;

 KR 

i 14 

!

 J 

i

 4 

1 2 

1 *) 

< 2 

2 

• 0 

' 0 

; ' 

! o 

' 0 

. o 

0 

1

 0 

0 

; 0 

RF 

0.47 

0.10 

0.13 

0.07 

O.07 

0.07 

0.07 

0.00 

0.00 

0.03 

0.00 

0.00 

O.OO 

0.00" 

0.00 

0.00 

0.00 

CF 

14 

17 

21 

23 

25 

27 

29 

29 

29 

30 

30 

30 

30 

30 

30 

30 

30 

RCF 

0.47 

0.57 

0.70 

0.77 

0.83 

0.90 

0.97 

0.97 

0.97 

LOO 

1.00 

1.00 

1.00 

1.00 

1.00 

1.00 

i.oo 

A-14 
P.45 

0.47 

: 

0.10 

— i — 

0.13 

— l — 

0.07 0.07 0.07 

— t — — I — — i — 

0( 

0.00 0.00 

l 1 | _ 

RF 

0.50 

- 0.40 

- 0.30 

• 0.20 

- 0.10 

53 

—1—I 1 1 1 1 1 1 I 

- 8 ; - 7 - 6 - 5 - 4 - 3 - 2 - 1 0 1 2 3 4 5 6 7 8 

Deviations, percent opacity 

•IGURE 10. 1-PERCENT VARIATION FREQUENCY HISTOGRAM, RIVERBEND STEAM STATION, TEST 2 

TABLE 2s. CONTROL CROUP DETERMINATIONS, 

RIVERBEND STEAM STATION, TEST 3 

{Percent Opacity) 

TABLE 29. EXPERIMENTAL GROUP DETERMINATIONS. RIVERBEND STEAM STATION. TEST 3 

{Percent Opacity) 

Run 

No. 

• * • 

4 

5 

6 

7 

8 

9 

10 

11 

12 

13 

14 

15 

16 

17 

IS 

19 

20 

21 

22 

23 

24 

Observer 

5.0 

13.6 

5.0 

9.0 

10.4 

6.6 

11.0 

5.S 

7.6 

6.8 

25.0 

40.8 

11.2 

17.0. 

12.S 

26.0 

13.4 

29.2 

23. K 

23.0 

33.8 

17.4 

23.S 

12.6 

5.2 

13.6 

5.0 

S.4 

6.8 

6.6 

10.2 

6.0 

5.0 

6.0 

23.0 

39.0 

9.8 

15.|2 

10.8 

2 5.'6 

12.4 

2S.l2 

23.0 

19,4 

34.6 

1 2.6 

19.8 

15.0 

3.0 

15.4 

4.0 

8.6 

S.S 

5.4 

8.4 

5.8 

5.4 

5.4 

36.2 

33.0 

5.6 

6.4 

7.8 

19.0 

11.2 

24.0 

1S.4 

16.6 

30.0 

10.0 

18.0 

9.4 

5.0 

5.4 

5.0 

5.2 

5.2 

5.0 

5.6 

5.2 

5.0 

5.0 

16.8 

39.6 

6.2 

10.2 

10.8 

25.2 

7.6 

25.0 

21.2 

12.4 

33.2 

8.0 

19.2 

6.8 

Trainsmissometer 

3.1 

7.5 

4.2 

7.2 

6.7 

5.0 

5.4 

3.4 

4.2 

4.8 

21.2 

36.0 

10.3 

14.2 

12.2 

29.6 

14.6 

28.3 

34.6 

27.2 

36.9 

15.2 

27.8 

14.4 

Run 

No. 

1 r-l 3 

4 

5 

6 

7 

8 

9 

10 

11 

12 

13 

14 

15 

16 

17 

18 

19 

20 

21 

-n 

23 

24 

1 

4.2 

12.2 

4.2 

7.8 

9.2 

5.6 

5.4 

3.2 

3.0 

3.8 

15.3 

25.2 

10.2 

1S.0 

14.4 

29.8 

16.6 

30.0 

21.S 

22. R 

34.6 

14.0 

21.2 

15.0 

Observer 

2 

4.6 

S.6 

3.0 

7.0 

6.4 

6.0 

5.6 

2.0 

1.6 

2.0 

13.5 

28.7 

9.0 

14.2 

16.6 

26.6 

16.4 

30.6 

25.6 

21.6 

40.2 

13.4 

25.2 

9.2 

3 

2.1 

6.1 

2.4 

1.8 

3.8 

4.0 

4.0 

2.0 

3.3 

2.3 

16.5 

25.7 

S-6 

12.2 

.9.6 

24.2 

10.0 

22.0 

15.8 

13.5 

31.6 

11.8 

22.2 

S-8 

4 

3.1 

10.S 

5.0 

6.8 

7.S 

4.8 

6.0 

1.6 

4.5 

5.3 

10.2 

18.1 

7.4 

8.8 

12.8 

21.6 

12.8 

27.2 

21.6 

1S.S 

31. S 

12.2 

24.8 

12.S 

Transmissometer 

3.1 

7.5 

4.2 

7.2 

6.7 

5.0 

5.4 

3.4 

4.2 

4.8 

21.2 

36.0 

10.3 

14.2 

12.2 

29.6 

14.6 

2S.3 

34.6 

27.2 

36.9 

15.2 

27.8 

14.4 

20 

A-15 
P.46 

TABLE 30. CONTROL GROUP DEVIATIONS. RIVERBEND STEAM 

STATION. TEST 3 

i 

lIYreia'hl Opacity) 

Rim 

No. 

1 

*» 

3 

4 

5 

6 

7 

X 

M 

il) 

11 

12 

13 

14 

15 

16 

17 

IS 

19 

20 

21 

22 

23 

24 

1 

1.9 

<>.L 

u.s 

I.U 

3.7 

1.6 

5.6 

2.4 

34 

2.0 

3.8 

4.8 

0.9 

2.8 

0.6 

-3.6 

-1.2 

0.9 

-10.8 

-4.2 

-3.1 

2.2 

-4.0 

-1.S 

Observer 

i 

.2.1 

'6.1 

-«.K 

1.2 

0.1 

1.6 

4.8 

2.6 

O.S 

!l-2 

l

l . S 

;

3.0 

-0. 5 

1.0 

-1.4 

-4. 0 

-2. 2 

---3.1 

-11.6 

-7.S 

-2-3 

-2.6 

-8. 0 

1 0.6 

3 

-0.1 

7.9 

-0-2 

1.4 

2.1 

0.4 

3.0 

2.4 

1-2 

0-6 

15.0 

-3. 0 

-4. 7 

-7. 8 

-4.4 

-10.6 

-3.4 

-4. 3 

-16.2 

-10.6 

-6.9 

-5. 2 

-9. 8 

-5. 0 

4 

1.9 

-2.1 

0.8 

-2. 0 

-1. 5 

0.0 

0.2 

1.8 

0.8 

0.2 

-4. 4 

3.6 

-4.1 

-4. 0 

-1.4 

-4.4 

-7. 0 

-3. 3 

-13.4 

-14. 8 

-3.7 

-7. 2 

-8. 6 

-7. 6 

TADLE31. EXPERIMENTAL GROUP 

DEVIATIONS, RIVERBEND STEAM 

STATION, TEST 3 

(Percent Opacity) 

TABLE 32. 'METHOD DEVIATION 

FREQUENCY DISTRIBUTION, 

RIVERBENDSTEAM 

STATION. TEST 3 

Run 

No. 

1 

2 

3 

4 

5 

6 

7 

8 

9 

10 

11 

12 

13 

14 

15 

16 

17 

18 

19 

20 

21 

22 

23 

24 

1 

1.1 

4.7 

0.0 

0.6 

2.5 

0.6 

0.0 

-0. 2 

-1.2 

-1. 0 

-5. 9 

-10.8 

-0.1 

3.8 

2.2 

0,2 

2,0 

1.7 

-12. 8 

-4.4 

-2,3 

-1. 2 

-6.6 

0.6 

Obsc 

2 

1.5 

1.1 

-1. 2 

-0. 2 

-0. 3 

1.0 

0.2 

-1. 4 

-2. 6 

-2. 8 

-7. 7 

-7. 3 

-1. 3 

0.0 

4.4 

-3.0. 

1.8 

2.3 

-9. 0 

-5.6 

3.3 

-l. S 

-2. 6 

-5. 2 

rvcr 

3 

-1. 0 

-1. 4 

-1. 8 

-5. 4 

-2. 9 

-1. 0 

-1.4 

-1.4 

-0. 9 

-2. 5 

-4.7 

-10.3 

-1.7 

-2. 0 

-2. 6 

-5.4 

-4. 6 

-6. 3 

-18. 8 

-13.7 

-5. 3 

-3.4 

-5. 6 

-5. 6 

4 

0-0 

3.3 

0.8 

-0. 4 

1.1 

-0. 2 

0.6 

-1.8 

0.3 

0.5 

-11.0 

-17.9 

-2. 9 

-5.4 

0.6 

-8. 0 

-1. 8 

-1.1 

-13.0 

-8.4 

-5.1 

-3.0 

-3. 0 

-1. 6 

Inicrval 

<-7.5 

-7.5 to -6.5 

-6.5 to -5.5 

-5.5 lo -4.5 

-4.5to-3. 5 

-3.5lo-2. 5 

-2.5 to -1.5 

-1.5 to -0.5 

-0.5 to 0.5 

0.5 io 1.5 

1.5 to 2.5 

2.5 to 3.5 

3.5 to 4.5 

4.5 to 5.5 

5.5 to 6.5 

6.5 to 7.5 

>7.5 

FR 

13 

3 

1 

7 

II 

9 

10 

12 

16 

20 

17 

7 

3 

2 

3 

0 

2 

RF 

0-10 

0.02 

0.01 

0.05 

0.08 

0.07 

0.07 

0.09 

0.12 

0.15 

0.13 

0.05 

0.02 

0.01 

0.02 

0.00 

0.01 

Cl: 

13 

16 

17 

24 

35 

44 

54 

66 

82 

102 

119 

126 

129 

131 

134 

134 

136 

RCF 

0.10 

0.12 

0.13 

0.18 

0.26 

0.32 

0.40 

0.49 

0.60 

0.75 

0.88 

0.93 

0.95 

0.96 

0.99 

0.99 

1,00 

0.10 

0.08 

0.05 

. 0.01 

I—.*—1 

0.08 

0.07 0.07 

RF 

4-0.50 

--0.40 

. - 0.30 

• - 0.20 

0.15 

0.12 0.13 

0.05 

^2L 0.01 i^ L o.oo o.oi 

- 8 - 7 - 6 - 5 - 4 - 3 - 2 - 1 0 1 2 3 4 5 6 7 E 

Deviations, percent opacity 

FICURE 11. METHOD DEVIATION FREQUENCY HISTOGRAM. RIVERBEND STEAM STATION. TEST 3 

21 

A-1 6 
P.47 

TABLE 33. 90-DEG VARIATION DEVIATION 

FREQUENCY DISTRIBUTION. RIVERBEND 

STEAM STATION. TEST 3 

Interval 

<-7. 5 

-7. 5 10-6. 5 

-6.5to-5. 5 

-5. 5 to-4. 5 

-4.5 to-3. 5 

-3. 5 10-2. 5 

2,5 to-1. 5 

-1. 5 to -0. 5 

-0. 5 to 0.5 

0.5 to 1.5 

1.5 lo2.5 

2.5 io 3.5 

3.5 io4. 5 

4.5 lo5.5 

5.5 io 6.5 

6.5 to 7.5 

>7.5 

FR 

1 

1 

2 

3 

Ol 

5. 

3 

I 

3 

2 

1 

0 

2, 

o: 

0' 

0 

0 

RF 

0.04 

0.04 

0.08 

0.13 

0.00 

0.21 

0.13 

0.04 

0.13 

0.08 

0.04 

0 0 0 

0.08 

0.00 

0,00 

0.00 

0.00 

CF 

- I 

2 

4 

7 

7 

12 

15-

16 

19 

21 

22 

22 

24 

24 

24 

24 

. 24 

RCF 

0.04 

0.08 

0.17 

0-29 

0.29 

0.50 

0.63 

0.67 

0.79 

0.88 

0.92 

0.92 

1.00 

1.00 

1.00 

1.00 

1.00 

TABLE 34. 1-PERCENT VARIATION DEVIATION FREQUENCY DISTRIBUTION, RIVERBEND STEAM STATION, TEST 3 

Interval 

<-7. 5 

-7.5 to -6.5 

-6.5 to -5. 5 

-5.5 io -4. 5 

-4.5 lo-3. 5 

-3.5 to -2. 5 

-2.5 to-1. 5 

-1.5 lo -0.5 

-0. 5 to 0.5 

0.5 to 1.5 

1.5 io 2.5 

2.5 to 3.5 

3.5 to 4.5 

4.5 to 5.5 

- 5.5 to 6.5 

6.5 to 7.5 

>7.5 

FR 

11 

1 

2 

1 

I 

2 

1 

5 

2 

3 

1 

I 

0 

I 

0 

0 

0 

RF 

0.34 

0.03 

0.06 

0.03 

0.03 

0.06 

0.03 

0.16 

0.06 

0.09 

0.03 

0.03 

0.00 

0.03 

0.00 

0.00 

0.00 

CF 

1) 

12 

14 

15 

16 

18 

19 

24 

26 

29 

30 

31 

31 

32 

32 

32 

32 

RCF 

0.34 

0.38 

0.44 

0.47 

0.50 

0.56 

0.59 

0.75 

0.81 

0.91 

0.94 

0.97 

0.97 

1.00 

1.00 

1.00 

1.00 

The 1 -percent variation is represented by the frequency distribution in Table 34. based on the remaining 

experimental runs. There is a large number of deviations more than 7.5 percent below the meter average, with the 

remaining values well-scattered throughout the intervals. The frequency histogram for these duta is shown in Figure 13. 

0.04 

: 

i 

i 

1 

0.O4 

0,08 

0.13 

0.00 

0.21 

— i — 

0.13 

0.04 

o" 

RF 

0.50 

- 0.40 

0.30 

• 0.20 

13 

0.08 

— 1 — 

0.04 

, 

0.00 

0,08 

_8 - 7 -6-5-4-3-2- 1 0 1 2 3 

Deviations, percent opacity 

I'.WKI. 12. 90-DEG VARIATION DEVIATION FREQUENCY HISTOGRAM. RIVERBEND STEA.M STATION.Ti ST 

A-17 
P.48 

1 

1 

1 

1 

1 

0.34 

i 

i 

1 

h— 

0.06 

0.03 

—F— — i — 

0.03 

— 1 — - 4 — 

0,06 

— i — 

0.03 

— 1 — 

0.16 

— t — 

RF 

- 0.50 

- 0.40 

* 0.30 

* 0.20 

0.06 

0.09 

—4— 

0.03 

— 1 — — i — 

0.00 

..... . • • 

0.03 

0.00 

' • -J- , i - — 

- 7 -6-5-4-3-2-1 0 1 2 3 

Deviations, percent opacity 

6 7 

FIGURE 13. 1-PERCENT VARIATION DEVIATION FREQUENCY HISTOGRAM, 

RIVERBEND STEAM STATION, TEST 3 

23 

A-18 
P.49 

APPENDIX B 

SUMMARY TABLES FOR OPACITY ERROR FREQUENCY DISTRIBUTION BY AVERAGING PERIOD 

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P.55 

APPENDIX C 

TABULATIONS OF OPACITY ERROR DATA BY STUDY, PLUME COLOR, AVERAGING INTERVAL 

AND INDIVIDUAL OBSERVERS 

INDEX OF TABLES 

Study Plume Color/Averaging Interval Page No 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

White Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

Black Smoke, 

Bl ack Smoke, 

Black Smoke, 

Bl ack Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

White Smoke, 

15-Second Average 

15-Second Average 

15-Second Average 

15-Second Average 

15-Second Average 

15-Second Average 

15-Second Average 

15-Second Average 

30-Second Average 

30-Second Average 

30-Second Average 

30-Second Average 

30-Second Average 

30-Second Average 

30-Second Average 

30-Second Average 

1-Minute Average 

1-Minute Average 

1-Minute Average 

1-Minute Average 

1-Minute Average 

1-Minute Average 

1-Minute Average 

1-Minute Average 

2-Minute Average 

2-Minute Average 

2-Minute Average 

2-Minute Average 

2-Minute Average 

2-Minute Average 

2-Minute Average 

2-Minute Average 

3-Minute Average 

3-Minute Average 

3-Minute Average 

3-Mi nute Average 

C3 

C4 

C5 

C6 

C7 

C8 

C9 

CIO 

Cll 

C12 

C13 

C14 

C15 

C16 

cr/ 

C18 

C19 

C20 

C21 

C22 

C23 

C24 

C25 

C26 

C27 

C28 

C29 

C30 

C31 

C32 

C33 

C34 

C35 

C36 

C37 

C38 

C-1 
Inde

x (Continued) 

P.56 

Study Plum

e Color/Averaging Interval Page No 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2 

FEl 

RTP 

FLI 

FL2, 

FEl 

RTP 

FLI 

FL2 

FEl 

Black Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

White Smoke, 

White Smoke; 

White Smoke, 

White Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke, 

Black Smoke 

White Smoke 

White Smoke 

White Smoke 

White Smoke 

Black Smoke 

Black Smoke 

Black Smoke 

Black Smoke 

White Smoke 

White Smoke 

White Smoke 

White Smoke 

Black Smoke 

Black Smoke 

Black Smoke 

Black Smoke 

White Smoke 

White Smoke 

White Smoke 

White Smoke 

Black Smoke 

Black Smoke 

Black-Smoke 

Black Smoke 

White Smoke 

White Smoke 

White Smoke 

White Smoke 

Black Smoke 

Black Smoke 

Black Smoke 

Bl ack Smoke 

3-Minute Average 

3-Minute Average 

3-Minute Average 

3-Minute Average 

4-Minute Average 

4-Minute Average 

4-Minute Average 

4-Minute Average 

4-Minute Average 

4-Minute Average 

4-Minute Average 

4-Minute Average 

5-Minute Average 

5-Minute Average 

5-Minute Average 

5-Minute Average 

5-Minute Average 

5-Minute Average 

5-Minute Average 

5-Minute Average 

6-Minute Average 

6-Minute Average 

6-Minute Average 

6-Minute Average 

6-Minute Average 

6-Minute Average 

6-Minute Average 

6-Minute Average 

7-Minute Average 

7-Minute Average 

7-Minute Average 

, 7-Minute Average 

7-Minute Average 

, 7-Minute Average 

, 7-Minute Average 

, 7-Minute Average 

, 8-Minute Average 

, 8-Minute Average 

, 8-Minute Average 

, 8-Minute.Average , 8-Minute Average , 8-Minute Average , 8-Minute Average , 8-Minute Average 

C39 

C40 

. C41 

C42 

C43 

C44 

C45 

C46 

C47 

C48 

C49 

C50 

C51 

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11 

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FL2-W-1-01-9 

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FL2-W-1-02-1 

FL2-W-1-02-2 

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239 

239 

239 

239 

239 

239 

239 

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239 

191 

191 

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191 

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239 

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239 

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103 

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72 

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iri= 1 — w—-^ 

No. DIF FILE NAME AVG =<-15 = <-10 = <-5 =<-l <0 =< 1 =<5 =<7.5 =<10 =<15 >15 

01. 

02 

03 

04 

05 

06 

07 

06 

FE1-W-1-01-1 

FE1-W-1-01-2 

FE1-W-1-01-3 

FE1-W-1-01-4 

FE1-W-1-01-5 

FE1-W-1-01-6 

FE1-W-1-01-7 

FE1-W-1-01-8 

225 

225 

225 

225 

225 

2i5 

225 

225 

0 

0 

0 

26 

0 

0 

0 

0 

7 

4 

0 

91 

12 

10 

0 

0 

60 

B9 

0 

162 

102 

100 

0 

2 

90 

U B 

21 

173 

163 

149 

22 

35 

96 

139 

25 

175 

166 

152 

40 

50 

115 

14B 

29 

175 

166 

155 

50 

64 

141 

168 

94 

191 

175 

165 

74 

113 

160 

179 

118 

204 

179 

171 

94 

147 

178 

194 

160 

214 

185 

188 

120 

178 

195 

207 

204 

225 

225 

219 

154 

202 

30 

18 

21 

0 

0 

6 

71 

23 

.1800 26 124 515 771 B43 902 1121 1252 1417 1631 169 

C-46 
RTF 3

- — B — 1 

P ^ 

No. DIF FILE NAME AVG =<-15 =<-10 =<-5 =<-l <0 =<1 =<7. 5 =<10 =<15 >15 

01 

02 

03 

04 

05 

06 

07 

08 

09 

10 

11 

12 

13 

14 

15 

16 

17 

18 

19 

20 

21 

22 

OT, 

24 

i j 

26 

27 

2e. 

RTP-B-1-01-22 

RTP-B-1-01-23 

RTP-B-1-01-24 

RTP-B-1-01-25 

RTP-B-1-01-26 

RTP-B-1-01-27 

RTP-B-1-02-11 

RTP-B-1-02-12 

RTP-B-i-02-13 

RTP-B-1-02-14 

RTF-B-1-02-15 

RTP-B-1-02-16 

RTP-p-1-03-22 

RTP-.B- 1-03-23 

RTP-B-1-03-24 

RTP-B-1-03-25 

RTP-B-1-03-26 

RTP-&-1-03-27 

RTP-B-1-04-12 

RTP-9-1-04-13 

RTF-B-1-04-14 

RTP-B-1-04-15 

RTF-B-1-04-16 

RTP-B-2-05-11 

RTP-B-2-05-12 

RTP-B-2-05-13 

RTP-B-2-05-14 

RTP-B-2-05-15 

225 

225 

225 

225 

225 

225 

201 

201 

201 

201 

201 

201 

225 

225 

225 

225 

225 

225 

105 

105 

105 

105 

105 

.105' 

105 

105 

105 

105 

0 

0 

5 

0 

0 

0 

0 

0 

5 

.J 

0 

2 

0 

. 0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

64 

30 

0 

4 

0 

0 

14 

23 

2 

14 

0 

0 

19 

15 

0 

10 

0 

0 

4 

9 

0 

0 

lit 

0 

0 

0 

1 

0 

149 

127 

4 

124 

0 

0 

61 

83 

11 

56 

33 

1 

66 

35 

0 

106 

0 

0 

53 

"TT 

0 

0 

0 

1 

18 

1 

150 

25 

194 

211 

66 

200 

21 

32 

106 

165 

45 

104 

204 

112 

199 

152 

46 

205 

1 1 

24 

100 

70 

7 

34 

38 

._._; 

101 

60 

176 

33 

216 

223 

96 

214 

30 

47 

130 

171 

55 

112 

217. 

187 

225 

163 

81 

216 

43 

51 

103 

89 

36 

53 

58 

42 

105 

79 

195 

46 

225 

225 

141 

220 

67 

87 

149 

1B9 

86 

12B 

225 

20B 

225 

1B3 

154 

220 

71 

76 

105 

105 

73 

74 

69 

•65 

105 

100 

225 

87 

225 

225 

200 

225 

163 

201 

200 

201 

175 

193 

225 

225 

225 

225 

225 

225 

101 

105 

105 

105 

101 

105 

105 

98 

105 

105 

225 

110 

225 

225 

222 

225 

198 

201 

201 

201 

° 194 

201 

225 

225 

225 

225 

225 

225 

105 

105 

105 

105 

105 

105 

105 

105 

105 

105 

225 

148 

225 

225 

225 

225 

201 

201 

201 

201 

201 

201 

225 

225 

225 

225 

225 

225 

105 

105 

105 

105 

105 

105 

105 

105 

105 

105 

225 

217 

225 

225 

225 

225 

201 

201 

201 

201 

201 

201 

225 

225 

225 

225 

225 

225 

105 

105 

105 

105 

105 

105 

105 

105 

105 

105 

0 

B 

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 

4956 17 10B 963 2717 3251 3816 4705 4828 4879 4948 

C-47 
P.3 

F^l— X — B 

No. DIF FILE NAME AVG =<-15 =<-10 =<-5 >=<-l <0 =< 1 . =<5 = <7.5 =<10 =<15 >15 

01 

02 

03 

04 

05 

06 

07 

08 

09 

10 

1 1 

12 

13 

14 

15 

16 

17 

IB 

19 

20 

21 

22 

"?*T 

24 

— o 

26 

27 

2B 

29 

30 

31 

""* TJ 

33 

34 

^•.j 

36 

37 

3e 

FLI-B-l-03-1 

FLI-B-l-03-2 

FL1-B-1-03-3 

FL1-B-1-03-4 

FL1-B-1-03-5 

FLI-B-l-03-6 

FL1-B-1-03-7 

FLI-B-l-03-8 

FL1-B-1-03-9 

FL1-B-1-03-10 

FLl-B-1-03-12 

FL1-B-1-03-13 

FLI-B-l-03-14 

FLI-B-l-03-15 

FL1-B-1-03-16 

FLI-B-l-03-17 

FL1-B-1-03-18 

FL1-B-1-03-19 

FL1-B-1-03-20 

FL1-B-1-04-1 

FL1-B-.1-04-2 

FL1-B-1-04-3 

FLl-B-l-04-4 

FL1-B-1-04-5 

FL1-B-1-04-6 

FLI-B-l-04-7 

FL1-B-1-04-8 

FL1-B-1-04-9 

FLl-B-l~04-l'0 

FLI-B-l-04-12 

FL1-B-1-04-13 

FL1-B-1-04-14 

FL1-B-1-04-15 

FLl-B-1-04-16 

FL1-B-1-04-17 

FL1-B-1-04-1B 

FL1-&-1-04-19 

FL1-B-1-04-20 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

10 

34 

77 

133 

51 

93 

36 

3 

38 

38 

116 

0 

0 

34 

138 

53 

161 

25 

80 

0 

10 

0 

34 

0 

0 

5 

0 

0 

0 

0 

0 

0 

0 

12 

0 

66 

0 

0 

118 

161 

151 

225 

116 

206 

88 

38 

120 

61 

164 

20 

16 

68 

225 

158 

-25 

94 

181 

10 

67 

93 

142 

42 

91 

50 

0 

0 

30 

9 

1 

0 

0 

110 

57 

144 

17 

0 

225 

225 

203 

225 

178 

225 

223 

95 

205 

196 

225 

166 

64 

169 

225 

225 

225 

225 

225 

171 

147 

149 

177 

165 

176 

80 

0 

120 

120 

122 

57 

5 

32 

167 

129 

177 

117 

95 

223 

225 

225 

225 

225 

225 

225 

148 

225 

225 

225 

225 

137 

221 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

141 

149 

177 

170 

177 

170 

48 

157 

177 

177 

177 

177 

172 

225 

225 

225 

225 

225 

225 

225 

179 

225 

225 

225 

225 

161 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

150 

155 

177 

171 

177. 

177 

63 

177 

177 

177 

177 

177 

177 

225 

225 

225 

225 

225 

225 

225 

200 

225 

225 

225 

225 

184 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

152 

162 

177 

176 

177 

177 

82 

177 

177 

177 

177 

177 

177 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

220 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

156 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177-

177 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

160 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

177 

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 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

7638 1247 3340 59S5 7237 7359 7436 7612 7621 7638 7638 

C-48 
F^l_2 — B- — -* 

PA 

No. DIF FILE NAME AVG =<-15 -=<-10 =<-5 =<-l <0 =<1 =<5 =<7.5 =<10 =<15 >15 

01 

02 

03 

04 

05 

06 

07 

08 

09 

10 

11 

12 

13 

14 

15 

16 

17 

18 

FL2-B-1-03-1 

FL2-B-1-03-2 

FL2-B-1-03-3 

FL2-B-I-03-5 . 

FL2-B-1-03-6 

FL2-B-1-03-7 

FL2-B-1-03-8 

FL2-B-1-03-9 

FL2-B-1-03-10 

FL2-B-1-04-1 

FL2-B-1-04-2 

FL2-B-1-04-3 

FL2-B-1-04-5 

FL2-B-1-04-6 

FL2-B-1-04-7 

FL2-B-1-04-8 

FL2-B-1-04-9 

FL2-B-1-04-10 

225 

225 

225 

225 

225 

225 

225 

225 

225 

177 

177 

177 

177 

177 

177 

177 

177 

177 

74 

0 

50 

0 

0 

0 

0 

0 

0 

15 

0 

47 

0 

.0 

0 

0 

0 

0 

127 

7 

127 

A 

0 

0 

46 

0 

0 

26 

0 

79 

0 

0 

0 

36 

3 

0 

190 

68 

200 

17 

31 

1 

100 

21 

3 

42 

32 

143 

45 

34 

35 

61 

46 

0 

224 

172 

209 

47 

39 

92 

186 

95 

36 

50 

72 

177 

90 

60 

90 

86 

87 

2 

225 

181 

211 

49 

40 

114 

201 

105 

43 

76 

87 

177 

105 * 

81 

106 

108 

96 

7 

225 

192 

215 

59 

42 

150 

206 

119 

56 

103 

101 

177 

127 

91 

122 

141 

116 

11 

225 

225 

225 

167 

76 

198 

225 

169 

106 

135 

156 

177 

172 

151 

160 

157 

146 

35 

225 

225 

225 

168 

166 

205 

225 

201 

138 

147 

161 

177 

177 

170 

169 

162 

171 

73 

225 

225 

225 

197 

192 

224 

225 

213 

188 

165 

169 

177 

177 

177 

177 

168 

177 

119 

225 

225 

225 

224 

225 

225 

225 

225 

221 

177 

177 

177 

177 

177 

177 

177 

177 

163 

0 

0 

0 

1 

0 

0 

0 

0 

4 

0 

0 

0 

0 

0 

0 

0 

0 

14 

S618 186 457 1069 1814 2012 2263 2905 3205 3420 3599 19 

C-49 
P.5 

I^E: I—B— ^ 

No. DIF FILE NAME AVG =<-i5 =<-10 =<-5 =<-l <0 =< 1 =<5 =<7.5 =<10 <=<15 >15 

01 

02 

03 

04 

05 

06 

07 

08 

FE1-B-1-02-1 

FE1-B-l-02-2 

FE1-B-1-02-3 

FE1-B-l-02-4 

FE1-B-l-02-5 

FE1-B-l-02-6 

FE1-B-1-02-7 

FE1-B-l-02-8 

225 

225 

225 

225 

225 

225 

225 

225 

0 

0 

0 

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37 

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47 

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2 

125 

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172 

37 

73 

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225 

132 

125 

190 

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48 

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38 

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142 

142 

193 

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62 

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157 

156 

195 

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79 

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44 

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191 

214 

225 

225 

162 

111 

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194 

224 

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187 

132 

161 

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225 

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160 

191 

225 

225 

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225 

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212 

197 

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13 

28 

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C-50 
P.6 

Ft"ri=* —w —: 

No. 

01 

02 

03 

04 

05 

06 

07 

08 

09 

10 

11 

12 

13 

14 

15 

16 

17 

18 

19 

20 

21 

22 

23 

24 

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26 

27 

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29 

30 

31 

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33 

34 

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36 

DIF FILE NAME 

RTP-W-2-06-11 

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RTP-W-2-07-23 

RTP-U-2-07-24 

RTP-W-2-07-25 

RTP-W-2-07-26 

RTP-W-2-07-27 

RTP-W-2-0B-22 

RTP-W-2-0B-23 

RTP-W-2-08-24 

RTP-W-2-08-25 

RTP-W-2-08-26 

RTP-W-2-08-27 

RTP-W-3-09-11 

RTP-W-3-09-15 

RTP-W-3-10-11 

RTP-W-3-10-13 

RTP-W-3-30-14 

RTP-W-3-10-15 

RTP-W-3-10-16 

RTF-W-3-11-22 

RTP-W-3-11-23 

RTP-W-3-11-24 

RTP-W-3-11-25 

RTP-W-3-11-26 

RTP-W-3-11-27 

RTP-W-3-12-22 

RTP-W-3-12-23 

RTP-W-3-12-24 

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RTF-W-3-12-26 

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173 

173 

173 

173 

173 

221 

221 

221 

221 

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221 

125 

125 

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125 

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125 

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197 

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221 

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221 

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77 

77 

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01 

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10 

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12 

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15 

16 

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18 

DIF FILE NAME 

FL2-W-1-01-1 

FL2-W-1-01-2 

FL2-W-1-01-3 

FL2-W-1-01-5 . 

FL2-W-1-01-6 

FL2-W-1-01-7 

FL2-W-1-01-B 

FL2-W-1-01-9 

FL2-W-1-01-10 

FL2-W-1-02-1 

FL2-W-1-02-2 

FL2-W-1-02-3 

FL2-W-1-02-5 

FL2-W-1-02-6 

FL2-W-1-02-7 

FL2-W-1-02-8 

FL2-W-1-02-9 

FL2-W-1-02-10 

AVG 

221 

221 

221 

221 

221 

221 

221 

221 

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173 

173 

173 

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173 

173 

173 

173 

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01 FE1-W-1-01-1 221 0 3 54 96 104 113 146 161 175 192 29 

02 FE1-W-1-01-2 221 0 0 67 124 139 145 164 174 190 205 16 

03 

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FE1-W-1-01-3 

FE1-W-1-01-4 

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221 

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180 

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No. DIF FILE NAME AVG =<-15 =<-10 =<-5 =<-l <0 =<1 =<5 =<7.5 =<10 =<15 >15 

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FL1-B-1-03-3 

FLI-B-l-03-4 

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No. DIF FILE NAME AVG =<-15 =<-10 =<-5 =<-l <8 =<1 =<5 =<7.5 -<10 = <15 >15 

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02 

03 

04 

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FEl-W-1-01-2 

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217 

217 

217 

217 

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217 

217 

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0 

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6 

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62 

4 

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47 

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0 

165 

101 

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97 

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213 

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101 

105 

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93 

123 

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169 

160 

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100 

136 

17 

171 

161 

153 

13 

45 

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143 

25 

173 

163 

154 

27 

60 

156 

164 

104 

183 

169 

157 

70 

97 

160 

172 

111 

200 

172 

161 

81 

139 

162 

175 

154 

208 

181 

176 

108 

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200 

192 

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10 

11 

12 

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14 

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17 

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24 

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27 

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RTP-B-1-01-22 

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189 

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150 

115 

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126 

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101 

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130 

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FL2-B-1-03-1 

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United Slates 

Envifonmental Protection 

Agency 

Stationary Source Compliance Division 

Olfice Ol Air Quality Planning And Standards 

Washingion, DC 20460 

Official Business 

Penally (or Privaie Use 

S300 

If your address is incorrect, ploase change on the above lebol; 

tear ofl; and return to the above ad'iress. 

II you do nol dosiro lo com inuo receiving this tochnical roporI 

series, CHECK HERE D ; tear oil lobol; end return il 10 the 

abovo address. -

to 

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