# OAR Box 1115 Prepped by Ryan Dugan



# Document

Number: 

# 72 ) ll-A- 4
Docket Number: 

# A-84-2 2

Printed 4/18/200810:52:08AM Sheet 72 of 94 p. 1

### P. 2 

# w

iT^EPPi j-i
Unite d State s Environmenta l Protectio n "Agenc y Offic e ofAi rQualit y Plannin g an d Standard s Researc h Triangl e Par k N C 2771 1 T

l p 

## Specia l Report Jun e 198 5
Stationar ySourc e Complianc e Serie s 

# Opacit yError s Fo r Averagin g An d No n Averagin g Dat a Reductio n An d Reportin g Technique s

### P. 3



# Fina l Repor t SR-1-6-8 5 

# Opacit yErrors Fo rAveragin g An d No n Averagin g Dat a Reductio n An d Reportin g

Technique s

Prepare d By : Barbar a Burto n Thoma s Ros e La m Ng o Easter n Technica l Associate s 241 2 Atlanti cAvenu e - Raleigh , Nort h Carolin a 2765 8

an d JAC ACorporatio n 55 0 Pinetow n Roa d For tWashington , Pennsylvani a 1903 4

Contrac tNo

. 68-02-39b 2 Wor k Assignmen tNo

. 2-6 7

Prepare d for : EP AProjec tManager : Joh n Busi k EP AWor k

Assignmen tManager : Kir k Foste r

U.S.ENVIRONMENTA LPROTECTIO N AGENC Y Offic e O fAi rQualit yPlannin g An d Standard s Stationar ySourc e Complianc e Divisio n Washington , D C 2046 0
Jun e 198 5

# P. 4

DISCLAIME R Thi s repor twas prepare d byEaster n Technica l Associate s fo rth e Stationar ySourc e Complianc e Divisio n o fth e U

. S

. Environmenta l Protectio n Agenc yunde rContrac tNo

. 68-02-396 2 Work Assignmen tNo

. 2-67

. Th e content s o fthi s repor tar e reproduce d herei n a s receive d fro m th e contractor

.

## P. 5



# CONTENT S

F i gure s ii i Table s i v Acknowledgmen t v Summar y 1 1

. Introductio n 3 2

. Descriptio n o fFiel d Studie s 5 3

. Erro rEvaluatio n Techniqu e 8 a
. Averagin g Procedur e b

. Time-Aggregat e Procedur e c
. Observe rPrecisio n - Fugitiv e Emissio n Stud y 4

. Evaluatio n o fErro rResult s 1 1 

# a . Averagin g Procedure s b
. Time-Aggregat e Procedur e Reference s 2 1 Appendice s 2 2
A
. Opacit yErro r Tabulatio nfo r Referenc e Metho d9 A- l Evaluatio nStud y B
. Summar yTable s Fo r Opacit yErro r Frequenc yDistributio nB- l byAveragin g Perio d C
. Tabulation s o f Opacit yErro r Dat a b yStudy , Plum e Color , .. . C- 1 Averagin g Interval , an d Individua l Observer s

I I

# P. 6

LIS TO F FIGURE S

Numbe rPag e 1 Cumulativ e percentag e distributio n o fopacit yerror s 1 3

fo raveragin g time s o f1 5 second s t o 8 minute s 2 Cumulativ e percentag e distributio n o ftim e aggregatio n 1 8

error s fo restimatin g plum e opacit yduratio n ove ra six-minut e perio d

i I 

## irr vr "l l



# TABLE S P. 7



# Numbe r 1 2 3

4
5

6 7 P . ag e EP A Fiel dStudie s o f Opacit y Method s (1973-198.1 ) : 

# 7
Erro r Classe s Use d i n Developin g Percentag e Distributio n 9 Percentag e Distributio n o f Opacit yError s b yAveragin g ' 1 2 Tim e - i
Percen t o f Dat a withi n 1 % an d 5%o f Actua l Opacit y1 4
Percen t o f Dat a Havin g Les s Tha n On e Percen t an d Zer o '' 1 4 Positiv e Erro r ' j Differenc e Betwee n Observers : Opacit yAveragin g Metho d 1 5 Cumulativ e Percentag e Distributio n o f th e Tim e Aggregatio n 1 7 Error s fo r Estimatin g Plum e Opacit yDuratio n Ove r a Six

Minut e Perio d Cumulativ e Percentag e Distributio n of'Tim e Aggregatio n 1 8 Error s fo r Estimatin g Plum e Opacit yDuratio n Ove r a Six

Minut e Perio d Whe n a Five-Percen t Opacit yErro r Facto r i s Include d Differenc e Betwee n Observers : Time-Aggregat e Metho d 2 0



# i v

# P. 8

ACKNOWLEDGMEN T Th e author s ar e gratefu l t o th e followin g person s fo r thei r assistanc e i n th e preparatio n o f thi s report : Laur a Hudso n fo r th e timel yand accurat e entr yo f th e bul k o f th e dat a point s analyzed , Phi l Piserchi a o f th e Researc h Triangl e Institut e fo r hi s continue d statistica l advic e and assistance , and Kir k Foster , EP AWor k Assignmen t Manager , fo r hi s assistanc e and guidance
.

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## . p .



# SUMMAR Y Referenc e Metho d 9 (Metho d 9 ) ha s bee n establishe d byEP Aa s th e standar d metho d fo rdeterminin g th e opacit yo fvisibl e emission s fo rthos e source s sub
jec tt o Ne

wSourc e Performanc e Standard s (NSPS)

. Metho d 9 include s th e following :
o Observe rcertification

. Requirement s ar e establishe d fo rperiodi c trainin g an d certificatio n o fobservers

. I
o Observatio n procedures

. Guidanc e i s give n o n observe rpositio n relativ e t o plume , sun , an d win d directio n an d th e poin ti n th e plum e wher e opac i t yi s t o b e determined

. o Fiel d data

. Th e minimu m informatio n an d dat a t o b e recorde d on-sit e i s specified

. Opacit yobservation s ar e t o b e take n an d recorde d a t15
- secon d intervals

. o Dat a reduction

. Twenty-fou rconsecutiv e observation s ar e average d (six

- minut e average)

. o Erro rmargin

. Th e positiv e erro rmargin s fo rthi s observatio n an d dat a reductio n metho d ar e presented

. Whil e Metho d 9 i s th e designate d complianc e monitorin g metho d fo rNSP S an d Stat e opacit yregulation s tha tspecif ya six-minut e dat a averagin g tech
nique , EP

Aha s foun d tha tsix-minut e averagin g of'opacit ydat a ma yno tb e clearl yrelatabl e t o man yStat e regulations

. EP Ai s therefor e investigatin g th e us e o fothe rdat a reductio n procedures , an d thei rassociate d erro rmargins , t o b e use d whe n th e six-minut e averag e i s no tapplicable

. Thi s repor tcompile s an d evaluate s opacit yerro rdat a develope d durin g a serie s o fEP

Afiel d trials , fo robservation s average d ove rtim e period s othe r tha n si xminute s an d fo robservation s reduce d an d reporte d usin g time-aggregat e dat a reductio n procedures

. Th e followin g significan tpoint s shoul d b e note d concernin g th e opacit ymetho d fiel d test s an d thi s erro revaluation :

o I n fiv e serie s o ffiel d test s occurrin g ove ra ten-yea rperiod , 41,16 0 individua l 15-secon d opacit yobservation s wer e take n an d analyzed

. I n I n addition , 140,25 0 15-secon d observation s a tindustria l fugitiv e emis
sio n source s wer e evaluate d t o determin e th e precisio n betwee n pajir s o f observers

. Thus , a substantia l bod yo ftes tdat a was availabl e fo rus e i n thi s erro ranalysis

. o Durin g th e fiel d tests , currentl ycertifie d observer s wit h a rang e o fopacit yreadin g experienc e wer e used

. Opacit yobservation s

# P.1 0

wer e compare d t o a referenc e opacit ymeasure d b yin-stac k opacit ymeter s (transmissometers)
. Metho d 9 fiel d observatio n procedure s (i.e. , obser

ve r positionin g ) wer e followe d i n al l fiel d tests
.
o Th e observe r erro r (i n percen t opacity ) associate d wit haveragin g time s fro m1 5 second s t o eigh t minute s wa s determined
. Fo r th e time-aggregat e dat a reductio n procedure , th e observe r erro r wa s determine d i n seconds
. Th e majo r conclusion s fro mthi s evaluatio n ar e a s follows : Averagin g Procedur e

o Fo r al l averagin g period s fro m1 5 second s t o 8 minutes , ther e wa s a tendenc y byth e observer s t o underestimat e th e opacity
. Dependin g o n th e averagin g time , fro m5 5 t o 58 % o f th e observation s eithe r ha d n o positiv e erro r o r wer e les s tha n th e actua l opacity
.
o Fo r al l averagin g periods , a stron g tendenc yt o rea d clos e t o th e actua l opacit yvalue s wa s seen . Fro m4 9 t o 55 % o f th e observation s wer e withi n 5 % o f th e measure d opacity , dependin g o n th e averagin g period
.
o Fro m86 % t o 89 % o f th e average d observations , dependin g o n th e averagin g time , ha d a positiv e erro r o f 7.5 % opacit yo r less
. Fro n 91 % t o 94 % o f th e average d observation s had a positiv e error o f 10 % opacit yo r less
. Time-Aggregat e Procedure s 0 Ther e wa s a yery

stron g tendenc yt o estimat e th e actua l plum e duratio n accurately
. 51 % o f th e determination s had n o tim e erro r (th e observe r rea d th e plum e a s ove r 20 % opacit yfc r th e sam e tim e a s recorde d byth e transmissometer)
. 67 % o f th e determination s wer e withi n 1 5 second s o f bein g correct
.
o 70 % o f th e determination s wer e eithe r correc t o r underestimate d th e tim e o f exces s opacity
. Whe n a 5 % opacit yfactor * wa s used , 87 % o f th e deter

mination s wer e eithe r correc t o r underestimate d th e tim e o f exces s opac ity
. 0 95 % o f th e determination s showe d a positiv e erro r o f 10 5 second s o r les s fo r a 360-secon d plum e observatio n period
. Whe n a 5 % opacit yfacto r wa s used , th e positiv e erro r wa s 4 5 second s o r less
.
o Th e studie s showe d som e variabilit yi n opacit ydat a betwee n studies
.

Th e tim e th e observe r rea d 25 % opacit yo r abov e wa s compare d t o th e tim e th e transmissomete r recorde d 20 % opacit yo r above
.

### P.1 1



## . p



# SECTIO N 1 : INTRODUCTIO N Referenc e Method 9 i s th e promulgate d metho d fo rus e i n determinin g opacit yo fvisibl e emission s fo rNe wSourc e Performanc e Standards

. I n Metho d 9 , fiel d observatio n procedure s (suc h a s observe rpositio n witl h respec tt o th e sun) , observe rcertificatio n procedures , an d dat a reductio n procedure s ar e specified

. Metho d 9 specifie s tha topacit yobservation s wil l b e take n an d recorde d a t15-secon d intervals , wit h 2 4 consecutiv e observa
tion s average d (six-minut e average)

. Metho d 9 i s als o use d fo rfederall y enforceabl e Stat e regulation s tha tinclud e a six-minut e averag e opacit y standard

. Man ystate s have regulation s wher e a six-minut e averag e i s no t th e metho d o fchoice , however

. Th e observatio n procedure s an d certificatio n requirement s ar e basicall yth e same as i n Metho d 9 , bu tdifferen ttechnique s fo rreducin g th e dat a ar e applied

. Fo rth e purpose s o fthi s evaluation , th e Stat e regulation s wher e a six-minut e averag e i s no tuse d ca n b e groupe d int o th e followin g thre e categorie s (1) :
o Time-exceptio n regulations

. Visibl e emission s ar e allowe d t o excee d a give n opacit ystandar d onl yfo ra limite d tim e period

. A n exampl e regulation : "Visibl e emission s shal l no tequa l o rexcee d 20%'opacit y excep tfo r5 minutes/hour. "
o Instanteou s limitatio n (CAP ) regulations

. Thes e regulation s usuall y appea rwit h time-exceptio n regulations , an d prohibi tvisiol e emission s abov e a give n opacit ya tan ytime

. A n example : "Visibl e emission s shal l no tequa l o rexcee d 20 % opacit yexcep tfo r5 minutes/hour

. Visibl e emission s shal l no texcee d 60 % opacit ya tan ytime. "
o Time-average d regulations

. I n some instances , averagin g time s othe r
. tha n si xminute s ar e specifie d i n opacit yregulations

. EP Aha s conducte d studie s o fshort-ter m averagin g (< 6 minutes ) an d non averagin g dat a reductio n procedure s t o addres s thes e type s o fStat e regula
tion s wher e a six-minut e averagin g procedur e i s no tspecifie d o rutilized

. Thi s documen tpresent s a n evaluatio n o fth e erro rmargin s fo rthes e othe r dat a reductio n procedures :
o Tim e aggregation

. Thi s procedur e i s use d wit h time-exceptio n regula
tions

. Individua l observation s ar e take n a t15-secon d intervals , bu t ar e no taveraged

. Rather , eac h observatio n abov e th e opacit ylimi t

# P.1 2

i s counte d and aggregate d a s 1 5 second s o f exces s opacity
. Aviola

tio n o f th e opacit ystandar d occur s i f th e aggregate d tim e abov e th e standar d exceed s th e tim e exemptio n allowe d i n th e regulatio n (i.e. , mor e tha n 5 minute s o f exces s emission s pe r hour)
.
o Singl e even t o r short-ter m average . Th e opacit yerror s reporte d fo r averagin g time s o f 1 5 second s (no averaging ) t o 2 minute s (averagin g o f 8 consecutiv e observations ) ca n b e use d t o evaluat e erro r margin s fo r th e "CAP " typ e o f standard
.
o Averagin g fo r othe r tha n si xminutes
. Individua l opacit yobservation s take n a t 15-secon d interval s ar e average d fo r th e specifie d tim e period
.

### P.1 3



# SECTIO N2
DESCRIPTIO N

O F FIEL DSTUDIE S
Ove r th e pas t te nyears , EPA ha s conducte d fiv e serie s o f fiel; d test s t o evaluat e observe r erro r fo r a variet y o f plum e types
. Durin g eac h|o f thes e tests , th e followin g condition s wer e met :

o Observer s ha d a mi xo f experienc e levels
.
o Observer s wer e currentl ycertified
.
o Observe r positionin g relativ e t o th e plum e wa s i n conformanc e wit h Metho d 9
.
o Opacit yobservation s wer e mad e and recorde d a t 15-secon d internals
.
o Actua l opacit ywa s measure d b yin-stac k opacit ymeters'(transmissometers ) concurrentl ywit hth e observe r opacit ydeterminations
.
o Smok e generator s calibrate d i n th e sam e manne r a s thos e use d t o certif y opacit yobserver s wer e use d t o produc e standar d blac k and whit e plumes
. On e stud yserie s als o include d industria l stac k emissions
. ! i 

# Thes e fiel d studie s ar e describe d i n detai l i n th e variou s studyreport s appearin g i n th e Referenc e Sectio n o f thi s report
. Brie f description s o f th e stud ydat a formin g th e basi s fo r thi s opacit y erro r evaluatio n ar e presente d here :

o Researc hTriangl e Par k (RTP)
. Thi s studywa s conducte d t o evaluat e alternativ e dat a recordin g an d reductio n technique s fo r highl yinter

mitten t plumes
. Hal f th e observer s recorde d 15-secon d observations , whil e th e othe r hal f use d stopwatche s t o recor d th e tim e of ! exces s emissions
. Observation s wer e take n i n consecutiv e six-minut e dat a set s wit hperiodi c res t breaks
. Onl yth e 15-secon d observation s wer e evaluate d i n thi s report
. (2 )

o Florid a I (FLI)
. Twelve-minut e serie s o f opacit yobservation s wer e

• taken , wit hsi xminute s o f nearil yconstan t opacit y"hidden " v-n-thi n eac htwelv e minutes
. (3 )

o Florid a I I (FL2)
. Simila r t o Florid a I , excep t tha t th e hidde n si x minute s wer e slowl ychangin g opacities
. (4 )

o Fugitiv e emission s 1 (FE1)
. Thi s stud ywa s designe d t o evaluat e th e abilit yo f observer s t o accuratel yasses s the

- opacit yo f fugitiv e (non

stack ) emissions
. However , onl yreading s o f emission s fro mth e smok e

# P. M

generato rstac k

wer e use d i n thi s report

. A s i n Florid a I , si x minute s o fconstan topacit ywer e hidde n i n eac h twelve-minut e dat a set

. (5 )

o Collaborativ e Stud yo fMetho d 9 (C0L9)

. Thi s stud ywa s conducte d i n suppor to fth e 197 4 repromulgatio n o fMetho d 9

. Emission s fro m a coal-fire d powe rplant , a sulfuri caci d plant , an d a smok e generato rwer e observed

. (6 ) Thes e studie s ar e summarize d i n Tabl e 1

. I n additio n t o th e par i son s wer e made unde r opacit yobservation s ma d existin g EP

Avisibl e em i n o referenc e opacit yva l

. er s (ther e wer e n o t nf-asur e th e consistenc y ously

. Fugitiv e em i include d roc k

crushers , an d blas tfurnac e cas th fiv e fiel d s t controlle d c e a tfugitiv e ssio n dat a b a ue s availabl e ransmissomet e (o rprecisio n ssio n source s materia l han d ous e em i ssio n udie s wher e opacit yobservatio n com onditions , a larg e bod yo f"paired " emissio n source s wa s obtaine d fro m se s an d evaluated

. Sinc e ther e wer e t o compar e th e accurac yo fth e ob
rs) , thes e dat a wer e use d strictl yt o ) betwee n tw o observer s readin g simul ' wher e opacit ydat a wer e collecte d lin g processes , an d BO F roo fmonitor s s i n th e stee l industry

. (7 )

## TABL E 1
. EP AFIEL D STUDIE S OF OPACIT Y METHOD S (1973-1981 ) 

# P.1 5

Stud yan d Typ e o fVisibl e Emissio n Dat e o f stud y No

. o f15-se c observation s collecte d
Referenc e Metho d 9 Collaborativ e Studie s (C0L9 )
Whit e Smok e Generato r Blac k Smok e Generato r Sulfuri c Aci d Plan t
Powe r Plan t
Alternat e Metho d 9 Studie s
Researc hTriangl e Par k (RT P Whit e Smok e Generato r Blac k Smok e Generato r Orland o Florid a (FL I ) : Whit e Smok e Generato r Blac k Smok e Generato r Jacksonvill e Florid a (FL2) : Whit e Smok e Generato r Blac k Smok e Generato r Fugitiv e Emission s Study(FEl ) Whit e Smok e Generato r Blac k Smok e Generato r Novembe r 197 3
Novembe r 197 3
Januar y197 4
Au g - Sep t 197 4

Ma y198 0

Octobe r 198 0

Januar y198 1

Decembe r 198 0 425 0
332 5
745 0
1135 0

684 0
537 6

912 0
820 8

388 8
388 8

192 0
192 0

### P.1 6



# SECTIO N 3 OPACIT YERRO R EVALUATIO N TECHNIQU E AVERAGIN G DAT

AREDUCTIO

N PROCEDURE

S Th e ra wdat a fo rthi s analysi s consiste d o findividua l 15-secon d ob-
- servation s an d th e correspondin g referenc e value s recorde d b yth e trans
- , missometers

. Th e 15-secon d value s wer e entere d i n th e orde ri n whic h the y wer e take n byindividua l observers

. Consecutiv e observation s take n b yth e sam e observe ro fth e same plum e color , an d wit h n o more tha n 3 0 minute s betwee n set s o fobservations , wer e considere d continuou s fo rth e purpose s o fthi s analysis

. Th e sol e exceptio n t o thi s was th e C0L9 Study

. I n tha tcase , six-minut e average s publishe d i n a previou s stud yrepor twer e use d rathe r tha n th e individua l 15-secon d observations

. Th e C0L 9 dat a tabulatio n i s reproduce d i n Appendi xA

. Th e opacit yerro rdat a fo rth e individua l studie s show n i n Tabl e 1 wer e compile d an d tabulate d byblac k an d whit e plum e colors

. Thes e dat a ar e in
- clude d i n Appendice s B an d C

. Th e opacit yerro rdat a summarize d i n Sectio n 4 (Tabl e 3) , however , combine s error s fo rblac k an d whit e plumes

. Industria l plume s actuall yobserve d i n th e fiel d ar e rarel ya pur e blac k o rwhite

. Summarizin g th e dat a withou tdistinctio n as t o plum e colo ri s more indicativ e o fth e erro rexpecte d unde ractua l fiel d conditions

. Anyopacit yobservatio n ha s thre e possibilities : t o b e correct , t o over estimat e th e opacity , o rt o underestimat e th e opacity

. A s a regulator yagency , EP Ai s concerne d wit h bot h type s o ferrors
. I fa n observe d valu e i s too ; high , ther e i s th e possibilit yo ffalsel ycitin g a violation

. I fth e observed : 

# valu e i s to o low , the n a tru e violatio n coul d occu rwithou tbein g cited

. Th e result s ar e therefor e separatel yreporte d i n term s o fbot h negativ e an d positiv e errors
. Te n averagin g period s wer e chose n fo revaluation : 1 5 second s (on e 15
- secon d observation) , 3 0 second s (tw o 15-secon d observations) , on e minut e (fou r15-secon d observations) , tw o minutes , thre e minutes , an d s o o n throug h eight-minut e average s (3 2 15-secon d observations)

. Eac h 15-secon d observatio n was compare d t o th e correspondin g transmissomete ropacit ymeasurement , an d th e differenc e (error ) calculated

. Th e error s i n th e 15-secon d observation s fo rth e averagin g perio d bein g considere d wer e the n summe d an d averaged

. •T o analyz e al l possibl e o fdat a sets , rollin g average s wer e use d a s i n Metho d 9

. An exampl e o fthi s techniqu e fo ra one-minut e averagin g tim e (fou r 15-secon d observations ) i s show n below : 15-secon d observatio n # 1 15-secon d observatio n #2 15-secon d observatio n #3 15-secon d observatio n # 4 15-secon d observatio n # 5 15-secon d observatio n # 6 

# 3 O X 

# 25 % 30 % 

# T 30 % 

# | 35 % 

# | 30 % |

. 

# 1

~ T 1 1 1 | | averag e # 1 I "averag e # 2 averag e # 3

# P.1 7

Th e averag e erro ro feac h se to fobservation s was classifie d an d groupe d fo rth e purpos e o fconstructin g cumulativ e distribution s an d percentag e d i str i butio n dat a arrays
. Eleve n classe s o fopacit yerro rwer e chosen

. Theyar e liste d i n Tabl e 2 wit h a descriptio n o feach

.
TABL E 2 : ERRO

R CLASSES USE D I N DEVELOPIN G PERCENTAGE DISTRIBUTION S

Erro rClasse s i n % Opacit y Erro rDirectio n an d Rang e

< -14.9 % t o

- 9.9 % t o

- 4.9 % t o

- fi.9 % t o 0 % t o + 1.1 % t o + 5.1 % t o + 7.6 % t o 

# +10.1 % t o

> -

-

-

-

- + 

# + 

# + + + + 15.0 % 10.0 % 5.0 % 1 .0 % 0.1 % 1 .0 % 5.0 % 7.5 % 10.0 % 15.0 % 15.0 % underestimate d opacit yby15 % o rmore underestimate d opacit yby10 % t o 14.9 % underestimate d opacit yb y5 % t o 9.9 % underestimate d opacit yby1 % t o 4.9 % underestimate d opacit yby0 t o 0.9 % overestimate d opacit yby0 t o 1.0% overestimate d opacit yby1. % t o 5.0 % overestimate d opacit yby5.1 % t o 7.5 % overestimate d opacit yb y7.6 % t o 10.0 % overestimate d opacit yby10.1 % t o 15.0 % overestimate d opacit ybymore tha n 15.0 %
Afte rgroupin g th e observe rerror s int o th e righ tclas s interval , th e dat a set s i n eac h clas s wer e summed , an d th e percentag e o fdat a set s fo reac h erro rclas s wa s calculated

. Th e resultin g percentag e valu e fo r eac h o fth e te n averagin g period s i s presente d i n Tabl e 3 , Sectio n 4 by wagin g times , an d i n Appendice s B an d C L ystudy , plum e color , averagin g time , an d observer

. TIME-AGGREGATE DAT AREDUCTIO

N PROCEDURE

S Dat a reductio n fo rth e time-aggregat e procedur e i s fundamentall ydifferen t fro m averaging

. 15-secon d observation s a to rabov e th e opacit ystandar d (assume d t o b e 20

% i n thes e studies ) ar e counted , an d whe n th e tim e aggregate d (1 5 second s pe rreading ) exceed s th e tim e exceptio n allowed , a violatio n occur s Fo rthes e studies , six-minut e dat a set s (2 4 consecutiv e 15-secon d observa
tions ) wer e used

. Th e aggregate d tim e th e observe rrecorde d opacitie s abov e 20 % was compare d t o th e tim e th e opacit yexceede d 20 % as recorde d b

yth e trans
missometer

. Th e differenc e i n thes e time s i s th e observe rerror
. Th e erro revaluatio n fo rtime-aggregat e dat a reductio n presente d i n thi s repor twas base d o n a n extensiv e statistica l analysi s reporte d earlier

. (8 ) Onl ydat a fro m th e Researc h Triangl e Par k (RTP ) study , an d Florid a I an d I I (FL I an d FL2 ) studie s wer e used

.

# P.1 8

Dat a o n actua l tim e abov e th e opacit yleve l o f interes t (20% ) wer e no t re corde d i n th e othe r studie s use d i n assessin g opacit yerro r b yth e averagin g dat a reductio n procedure
. Observe r error s wer e groupe d i n 15-secon d increments
. Potentia l error s range d fro m

a n observe r erro r o f - 36 0 second s (th e observe r showe d 0 second s o f opacitie s i n exces s o f 20 % bu t th e transmissomete r recorde d 36 0 second s abov e 20 % opacity ) t o + 36 0 second s (th e observe r showe d 36 0 second s o f opacit yi n exces s o f 20 % bu t th e transmissomete r recorde d n o second s abov e 20%)
. Eac hsix-minut e dat a se t wa s evaluate d fo r second s o f observe r error , an d the n assigne d t o th e prope r erro r leve l category
. Dat a set s a t eac h erro r leve l wer e the n calculated , and th e percentag e o f al l dat a set s a t eac h erro r leve l wa s determined
. Result s ar e presente d i n Sectio n 4
. Th e effec t o f usin g a 5 % opacit y"offset " was - als o examined
. I n thi s evaluation , th e sam e analysi s wa s performe d a s explaine d above , excep t tha t th e tim e th e observe r rea d abov e 25 % opacit ywa s compare d t o th e tim e th e transmissomete r measure d opacitie s abov e 20%
. Th e effec t o f th e 5 % opacit y facto r o n observe r erro r i s als o discusse d i n Sectio n 4
. OBSERVE R PRECISIO N- FUGITIV E EMISSIO NSTUD Y Th e difference s betwee n opacit yobservation s mad e b ypair s o f observer s readin g th e sam e plum e simultaneousl ywer e evaluate d i n anothe r study
. (7 ) The dat a bas e consiste d o f a larg e numbe r o f observation s mad e a t industria l fugitiv e emissio n sources . Th e paire d reading s wer e compare d usin g severa l differen t dat a reductio n methods , includin g two , three , an d six-minut e averages , an d tim e aggregate
. Th e result s wer e the n compare d wit hth e between-observe r precisio n estimate s fro mth e fiel d studie s mad e unde r controlle d conditions
. Standar d deviation s o f th e paire d observation s wer e calculate d fo r eac h o f th e dat a reductio n procedure s evaluated
. Thi s give s a measur e o f consistenc y (o r precision ) betwee n th e observers , bu t no t th e accurac y(ho wclos e t o tru e opacit yvalues ) o f th e observer
. Th e precisio n value s calculate d fro mth e industria l emissio n dat a (wher e ther e wa s n o transmissomete r data ) wer e the n compare d t o similarl ycalculate d precisio n value s fro mth e RT P study(wher e transmissomete r dat a wa s available ) fo r tim e aggregatio n and fro mth e C0L 9 Studyfo r six-minut e averages . Th e result s o f thi s compariso n are discusse d i n Sectio n 4
. Fo r purpose s o f thi s evaluation , onl yth e between-observe r precisio n estimate s ar e presente d an d discussed
. Th e detail s o f th e Fugitiv e Emissio n Study , includin g scope , type s o f emissio n source s observed , and manne r i n whic hdat a wer e collecte d and analyzed , a s wel l a s othe r analyse s performed , are

reporte d i n Referenc e 7
.



# 1 0

### P.1 9



# SECTIO N4
EVALUATIO NO F ERRO R RESULT S
AVERAGIN GDAT AREDUCTIO NPROCEDURE S Th e dat a table s i n Appendi xB presen t a detaile d breakdow n o f opacit y error s b

yindividua l stud yfo r differen t averagin g period s and erro r level s (Table s B- l throug hB-10)
. I n eac htable , dat a set s (and th e corresponding ; percentag e o f tota l dat a sets ) ar e show n fo r th e eleve n erro r level s I startin g wit ha positiv e erro r o f mor e tha n 15 % opacit ydow n t o a negativ e erro r o f 15 % o r greater
. Th e percentage s ar e als o presente d cumulativel y t o allo wth e determinatio n o f th e percentag e distributio n a t an yleve l o f error . Th e dat a i n Appendi xB ar e summarize d i n Tabl e 3 , whic hrepresent s a com posit e percentag e distributio n o f opacit yerro r dat a fo r al l th e studjies
. Th e dat a ar e summarize d withou t regar d t o plum e colo r o r typ e o f study
. Th e dat a i n Tabl e 3 sho wa stron g centra l tendenc yfo r al l averagin g periods
. Suc h a tendenc yi s als o show n i n Tabl e 4 , wher e th e percen t o f reading s wijthi n + S % an d + 1 % o f th e tru e opacit yvalues , b yth e differen t averagin g times , i s given
. Fro m49 % t o 55 % o f th e observation s wer e withi n 5 % o f th e tru e value, ' and fro m 15 % t o 17 % o f th e observation s wer e withi n 1%
. Th e dat a i n thes e table s als o sho wa sligh t negativ e bia s overall ; tha t is , th e observer s ha d a tendenc yt o underestimat e th e opacity
. Table : 5 dis

play s th e percen t o f dat a set s havin g littl e o- r n o positiv e error ; th e rang e i s fro m5 5 t o 58% , dependin g o n th e averagin g time
. Thus , opacit yob

servation s average d ove r 1 5 second s t o eigh t minute s wil l b e slightl ymor e likel yt o b e correc t o r underestimat e th e opacit ytha n t o overestimat e th e opacity
. An opacit yerro r probabilit ycurv e ca n b e constructe d fro mth e erro r dat a reporte d i n Tabl e 3
. Suc ha curv e i s show n i n Figur e 3
. Th e line s plotte d fo r individua l 15-secon d observation s an d eight-minut e average s serv e t o defin e th e rang e o f erro r value s fo r averagin g time s fro m th e shortes t t o th e longes t tim e interva l considere d i n thi s report , th e shade d are a betwee n th e tw o line s represent s percentag e distributio n o f opacit yerror s fo r averagin g interval s betwee n 1 5 secon d and eigh t minutes
. Th e probabilit ycurv e ca n b e use d t o estimat e approximatel yth e jamoun t o f erro r expecte d a t an yprobabilit yleve l o r th e reverse . Fo r example , th e media n erro r fo r al l th e averagin g interval s fro m1 5 second s t o eigh t minute s i s abou t - 2.5%
. Tha t is , hal f th e observation s underestimate d th e opacit yb

ymor e tha n - 2.5% , whil e th e othe r hal f eithe r underestimate d th e opacit yfro m0 t o - 2.5% , o r overestimate d th e opacity
. Thes e curve s ca n b e use d t o fin d th e maximu mexpecte d erro r a t anyothe r leve l o f probabilit yand



# 1 1

# TABL E 3
. PERCENTAG E DISTRIBUTIO NO F OPACIT Y ERROR S B Y AVERAGIN GTIM E

ERRO R DIRECTION AN D RANGE Positiv e Error :
Mor e than +15 % +15 % o r Les s +10 % o r Les s +7.5 % o r Les s +5 % o r Les s +1 % o r Les s Negativ e Error : 0 % o r Mor e -1 % o r Mor e -5 % o r Mor e -10 % o r Mor e -15 % o r Mor e 

# 15 s

4 % 9 6 9 1 8 6 8 0 6 5

5 5 5 5 3 4 1 9 

# 8 30 s



# 4 9 6 9 1 8 7 8 0 6 4

5 6 5 4 3 3 1 7 

# 7 l m



# 3 9 7 9 1 8 7 8 0 6 4

5 7 5 3 3 2 1 6 

# 6 2 m



# 3 9 7 9 2 - 

# 8 7 8 1 6 3

5 7 5 2 3 2 1 5 

# 5 AVERAGIN

GTIM E 

# 3 m



# 2 9 8 9 3 8 8 8 1 6 3

5 7 5 2 3 1 1 4 

# 5 4 m



# 2 9 8 9 3 8 8 8 1 6 3

5 7 5 2 3 1 1 4 

# 5 5 m



# 2 9 8 9 3 8 8 8 1 6 3

5 7 5 2 3 1 1 3 

# 4 6 m



# 2 9 9 9 4 8 9 8 3 6 4

5 8 5 2 3 1 1 3 

# 4 7 m



# 2 9 8 9 4 • 

# 8 9 8 2 6 3

5 7 5 1 3 1 1 3 

# 4 8 m



# 1 9 9 9 4 8 9 8 2 6 3

5 6 5 1 3 1 1 3 

# 4



# 1 2

### P.2 1 

## r r r •••":- v



# TABL E 4 : PERCENT O F DAT AWITHI N1 % AN D 5 % O F ACTUAL OPACIT Y

Averagin g tim e % o f Dat a withi n + 5 % %o f Dat a withi n + 1 % 1 5 3 0 1 2 3 4 5 6 7 

# s s m m m m m m m 8 m 4 9 5 0 5 1 5 2 5 3 5 3 5 4 5 6 5 5 5 5 1 5 1 5 1 6 1 6 1 6 1 6 1 6 1 7 1 7 1 7

TABL E 5 : PERCENT OF DAT AHAVINGLES S THA

NON E PERCENT AN

D ZER O POSITIVE!ERRO R

Averagin g tim e % o f Dat a Wit h1 % o r les s positiv e erro r % o f Dat a wit h zer o positiv e erro r 1 5 3 0 1 2 3 4 5 6 7 s s m m m m m m m 

# 8 m 6 5 6 4 6 4 6 3 6 3 6 3 6 3 6 4 6 3 6 3 5 5 5 6 5 7 5 7 5 7 5 7 5 7 5 8 5 7 5 6



# 13

# P.2 2

TABL E 4 : PERCENT O F DATAWITHI NH AN D 5 % O F ACTUAL OPACIT Y
Averagin g tim e 1 5 s 30 s 1 m 2 m : 3 m i 4 m ; 

## 5 m 6 m 7 m 

# %o f Dat a withi n + 5 % %o f Dat a withi n + V

8 t n 4 9 5 0 5 1 5 2 5 3 5 3 5 4 5 6 5 5 5 5 1 5 1 5 1 6 1 6 1 6 1 6 1 6 1 7 1 7 1 7

TABL E 5 : PERCENT O F DATAHAVINGLES S THA NON E PERCENT AND ZER O POSITIVE ERRO R

Averagin g tim e ' %o f Dat a Wit h1 % o r les s positiv e erro r %o f Dat a wit h zer o positiv e erro r 1 5 30 1 2 3 4 5 6 7 8 s s m m m m m m m m 6 5 6 4 6 4 6 3 6 3 6 3 6 3 6 4 6 3 6 3 5 5 5 6 5 7 5 7 5 7 5 7 5 7 5 8 5 7 5 6



# 13

# P.2 3

20

1 5

1 0



## ? 5

D 

### ! = 0 

# T~I—i—i— r i

. i

c o 

## - 5

-1 0

-1 5 O INDIVIDUA L 15-SECON D READINGS '

A8-MINUT E AVERAGE S



## -20 

## 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 0 9 5 9 8 9 9 99. 5 99
. OPACIT YOBSERVATIONS , cumulativ e percen t 

# •Figur e 1

. Cumulativ e percentag e distributio n o fopacit yerror s fo r

averagin g time s o f1 5 second s t o 8 minutes

.

1 4

# P.2 4

averagin g interval

. Fo rexample , a n observe rhas abou ta 95 % chanc e o f makin g a n 11 % t o 14 % opacit yerro ro rles s fo raveragin g time s o feigh t minute s down t o 1 5 seconds , respectfully

. Th e dat a als o sho

wsome variatio n i n erro rlevel s betwee n th e differen t studie s conducted

. Thes e variation s ca n b e see n i n th e table s i n Appendi xB

. Fo rexampl e i n Tabl e A-5 , fo r3-minut e averages , th e dat a fo rFL I showe d tha t observer s determinin g th e opacit yo fblac k plume s ha d n o positiv e error s i n 96 % o fth e observation s (749 1 ou to f779 0 averages) , whil e th e FL 2 dat a showe d tha t56

% o fth e observation s (208 6 ou to f369 0 averages ) ha d n o positiv e error
. Tabl e 6 show

s a n analysi s take n fro m th e stud yrepor t(7 ) o n observe r precisio n (o rconsistency) , a s determine d durin g opacit yobservation s by pair s o fobserver s a tindustria l fugitiv e emissio n sites

. Thes e value s sho w a sligh timprovemen ti n precisio n as th e averagin g tim e increase s fro m tw o t o si xminutes.

. Th e observe rprecisio n o fa six-minut e opacit yaverag e shown fo rth e fugitiv e emission s data , 2.1% , compare s favorabl ywit h th e observe r precisio n o f2.6 % reporte d fo rth e C0L 9 Study

. (4 )

TABLE 6 : DIFFERENC E BETWEEN OBSERVERS: OPACIT YAVERAGING METHO

D

% o fObservation s
•Opacit yNumbe rStandar d wher e differenc e averagin g o fDeviatio n betwee n observer s perio d observation s ( % opacity ) wa s < 7.5 % opacit y 15-secon d 140,25 0 3. 4 87 singl e readin g 

# 9 2 92 2 m i nute s 3 minute s 6 m i nute s 17,69. 4 11,83 6 5,95 4 2. 6

2. 4 2. 1

1 5

# P.2 5

TIME-AGGREGATE PROCEDUR E Th e observe rerro rfo rth e time-aggregat e procedur e i s show n i n Table s 7 an d 8

. Th e dat a ar e displaye d i n th e for m o ffrequenc ydistribution s o f th e tim e error s fo reac h stud ya s wel l as th e cumulativ e frequenc ydistri
- butio n o fth e entir e dat a set

. I n Tabl e 7 , th e erro rdat a showa stron g cen tra l tendency , wit h 51 % o fth e dat a havin g zer o error
. Tabl e 7 als o show

s a tendenc yt o understat e tim e duratio n o fth e plum e (n o positiv e error ) whe n usin g th e time-aggregat e technique

. Tha t i s , 70 % o fth e tim e determination s wer e eithe rcorrec to runderestimate d th e tim e o fexces s emissions

. Tabl e 8 present s th e same erro rdat a wit h th e inclusio n o fa 5 % opacit y factor ; tha tis , an yopacit yreadin g ha d t o b e a tleas t5 % abov e th e standar d t o be aggregated

. Whe n a 5 % opacit yfacto ri s used , 87 % o fth e tim e deter
mination s wer e correc to runderestimate d th e tim e o fexces s emissions

. Th e pronounce d centra l tendenc yfo rtime-aggregate d dat a i s als o graphicall y illustrate d i n th e cumulativ e frequenc ycurv e i n Figur e 2

.

i 

# The:table s ca n be use d t o fin d th e probabilit yo fn o positiv e erro r wit h differen ttim e erro rmargin s (wit h o rwithou ta 5 % opacit yfactor)

. Fo rexample , wit h a 15-secon d erro rmargi n an d 0 % opacit yfactor , 81 % o f th e reading s had n o positiv e error
. Usin g a 5 % opacit yfacto ran d a 15
- secon d erro rmargin , 92 % o fth e reading s had n o positiv e bias

. I n applyin g thi s concep ti n a visibl e emissio n observatio n program , th e 5 % opacit yfacto r plu s 15-secon d erro rmargi n woul d b e use d a s follows : th e numbe ro f15
- secon d reading s 5

% o rmor e abov e th e standar d woul d b e aggregated ; the n a n extr a 15-second s o fexcessiv e opacit yfo reac h si xminute s o fopacit y observation s woul d b e require d befor e declarin g a violation

. Thes e result s sho

wa substantia l increas e i n th e probabilit yo fn o posi
tiv e bia s occurrin g whe n a smal l opacit yfacto ran d tim e erro rmargi n ar e used

. A5

% opacit yfacto ran d 15-secon d erro rmargi n increase s th e pro babilit yo fn o positiv e erro rfro m 70 % t o 92 % {Tabl e 8)

. Table s 7 an d 8 als o sho wsome variatio n i n erro rfrequenc ydistribution s betwee n studie s as wel l a s differin g amount s o ferro rdat a scatte rwithi n eac h study

. Fo rexample , i n scannin g down th e dat a colum n i n Tabl e 7 wit h th e head
in g o f"RTPB " (RT P study/blac k plumes) , i tca n be see n tha terror s ar e clustere d aroun d zer o second s erro rlevel , wit h ver ygoo d precisio n an d a sligh tpositiv e bias

. FL1B , o n th e othe rhand , shows a simila rcentra l tendenc ybu ta wide r dat a spread , indicatin g lowe robserve rprecisio n an d a considerabl e negativ e bia s Tabl e 9 show

s a n analysi s take n fro m th e stud yrepor t(7 ) o n observe rpre cisio n i n determinin g opacit yo findustria l fugitiv e emissions

. Fo robserve d tim e equa l t o o rgreate rtha n 20 % opacity , th e observer s wer e abl e t o estimat e plum e duratio n wit h a standar d deviatio n o f19 0 second s pe rsix-minut e observa
tio n period

. Wit h a 5 % opacit yfactor , th e standar d deviatio n wa s 13 0 seconds

.

1 6

# p.a £

TABL E

Error , Second s 

# -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 1 5 3 0 4 5 6 0 7 5 9 0 10 5 12 0 13 5 15 0 16 5 18 0 19 5 21 0 22 5 24 0 25 5 27 0 28 5 30 0 31 5 33 0 34 5 36 0 7

. CU

M ULATIV

EPERCENTAG

EDISTRIBUTIONO

F1 ESTIMATIN

GPLUM EOPACIT

YDURATIO

NOVE R

RTP B



# 7 2 3 14 2 4 6 9 6 2

- No

. of

Dat aSet s By Fiel dEvaluatio nStud y 

# RTP WFL1 B FL1 WFL2 B

1 2 3 2 1 2 1 2 5 1 1 3 1 1 4 1 5 3 1 2 2 1 1 5 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 1 6 6 5 2 19 7 7 0 9 1 2 6 5 9 1 3 1 1 3 3 5 2 1 6 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 TIM

EAGG R EGATIO. NERR C ASIXMINUT

EPERIO D

FL2W

- 4 2 

# 1 1 1 1 3 2 3 1 9 1 1

2 4

TOTA L SU

M 1 5 3 3 2 5 2 4 1 5 8 3 3 1 8 1 0 6 8 4 4 9 4 1 1 6 4 1 5 5 2 56 8 12 1 5 0 3 7 2 1 1 4 8 2 3 6 4 1 2 1 2 4 4 2 4 2 7 1 0 0 1 1 3 111 0 )R

S F C

% 

# 1 0 0 0 0 0 0 1 1 0 0 2 1 1 1 0 0 1 0 1 1 0 1 5 5 1 1 1 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 1 0 1 0 1 1 1 1 1 2 1 3 1 3 1 5 1 9 7 0 8 1 8 6 8 9 9 1 9 2 9 3 9 5 9 6 9 6 9 7 9 7 9 7 9 8 9 8 9 8 9 9 9 9 9 9 10 0 10 0 10 0 10 0 10 0 10 0

1 7

## TABL E8

. CUMULATIV

EPERCENTAG

EDISTRIBUTIO NO

FTIM EAGGREGATIO

N

Error , Second s 

# -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 1 5 3 0 4 5 6 0 7 5 9 0 10 5 12 0 13 5 15 0 16 5 18 0 19 5 21 0 22 5 24 0 25 5 27 0 28 5 30 0 31 5 33 0 34 5 36 0 ERROR S FO R ESTIMATIN

GPLUM EOPACIT

YDURATIO

NOVE RASI XMINUT

EPERIO D WHE NA FIVEPERCEN

TOPACIT

YERRO RFACTO RI S INCLUDE

D
No

. o f Dat aSet s B y Fiel dEvaluatio nStud y 

# RTP B RTP

WFL1 B FL1 WFL2 B FL2W

4 3 1 0 4 6 1 1 2 1 2 2 3 1 2 3 2 3 1 2 2 4 1 4 1 0 2 4 1 3 2 1 9 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 1 2 1 1 1 3 7 2 2 1 1 9 2 4 2 5 4 1 4 7 1 5 8 3 14 0 19 9 5 0 9 3 1 9 3 8 1 1 3 4 1 8- 4 3 1 1 1 2 2 4 1 2 6 1 1 SU M 5 7 8 3 4 4 7 6 2 5 1 4 6 6 2 1 6 4 3 0 7 9 1 1 1 4 1 4 3 6 5 3 10 5 53 9 5 8 1 7 2 6 3 1 1 1 5 j 1 1 3 3 1 2 1 1 9

1 1

1 1 2 3 1 1 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 1 111 0 %



# 5 1 0 0 0 1 1 2 1 1 1 2 1 0 0 0 1 1 1 1 1 1 

# 5 Q 

# 4 9 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 1 0 1 2 1 2 1 3 1 5 1 5 1 5 1 6 1 6 1 6 1 7 l' S 1 9 2 1 2 4 2 9 3 8 8 7 9 2 9 3 9 6 9 7 9 7 9 7 9 8 9 8 9 9 9 9 9 9 9 9 10 0 10 0 10 0 

# 1.0 0 10 0 10 0 10 0 10 0 10 0 10 0 10 0 10 0 

# 1 P.2 7

1 8

# P.2 8

10 0

9 0 —

8 0

7 0

6 0

< < Q 

## o 5 0 LU I

- 

## < C D la U C C C D O 

## < UJ 

### 4 0



## 30

20

1 0 O WITHOU TERRO R FACTO R

AWIT H 5

i PERCEN

TERRO R FACTO R AAAAAAAoOOOO-

_Afi M oo o AAOOO AA AOO

O AO O O AO O

A AO

AA A 

## AAA

*

AA A A A A A

O O .o o

o o o o o o

i oo o o oo o NEGATIV E POSITIV E

36 0 21 0 60 0 ERROR,seconds 9 0 240 36 0
Figur e 2 Cumulativ e percentag e distributio n o ftim e aggregatio n error s i n

estimatin g plum e opacit yduratio n ove ra si xminut e period

. 

# 1 9

# P.2 9

Thi s i s roughl ycomparabl e t o a reade rprecisio n valu e o f15 9 second s foun d durin g th e RT

P stud y(n o opacit yfactor)

. Thi s findin g indicate s tha tobserver s wer e abou tas consisten ti n readin g industria l plume s a s i n readin g smok e generato r plumes

. Again , observe rprecisio n i s a n indicatio n o fconsistenc ybetwee n observer ; i tdoe s no tindicat e ho waccurat e eac h observe ri s relativ e t o th e "true " opacity

. TABLE 9

. DIFFERENC E BETWEEN OBSERVERS : TIME-AGGREGATE METHO D

Paramete r Observe d Tim e > 15

% opacit y Observe d Tim e > 20

% opacit y Observe d Tim e > 25

% opacity

. Observe d Tim e > 30

% opacit y MEA N VALU E

^Standar d Deviation/Mea n x10 0 Mea n Aggregat e Tim e (seconds ) 52 0 29 6 18 3 12 9

- 

# Standar d

Deviatio n (seconds ) 23 9 19 0 13 0 10 4 16 6 Relativ e Std

.

Deviation 1 

# (percent ) 4 6 6 4 7 1 8 1 6 6

OTHE R OPACIT Y ERRO R ANALYSE S Th e opacit yerro r evaluatio n result s presente d i n thi s repor t ar e onl y par t o f a large r bod yo f statistica l analysi s dat a whic hha s bee n develope d o n thes e and othe r opacit ydat a reductio n an d reportin g techniques
. Fo r detaile d informatio n o n othe r evaluation s and analyse s performe d o n th e sam e opacit ydat a base s use d i n thi s repor t se e th e reference s a t th e end o f thi s report
. In particular , Reference s 6-1 0 offe r extensiv e statistica l analysi s informatio n o n th e precisio n an d accurac yo f visibl e emissio n observations
. LIMITATION S Th e erro r analysi s presente d i n thi s repor t i s mos t applicabl e fo r opacit yobservation s i n th e 15 % t o 60 % opacit yrang e a s th e bul k o f th e dat a collecte d durin g th e metho d evaluatio n studie s wa s i n thi s range . Fo r thi s reason , extrapolatio n o f th e result s fro mthi s serie s o f fiel d studie s an

d erro r analysi s t o opacit ylevel s o f les s tha n 15 % opacit yi s no t a s wel l supported
. I t i s likely , however , tha t th e magnitud e o f th e observe r erro r wil l b e smalle r i n th e les s tha n 15 % opacit yrang e becaus e th e measuremen t rang e i s smaller
. 2 0

# P.3 0

REFERENCE S 1
. Opacit yRegulations : Summar yo f Stat e Regulation s an d Rulemakin g Status , Contracto r Repor t prepare d byPacifi c Environmenta l Services , Inc
. fo r USEPA , Stationar ySourc e Complianc e Division , Washington , .D
. C , Februar y 1983
. 2
. Fiel d Evaluatio n o f Opacit yReadin g Method s fo r Intermitten t Plumes , Contracto r Repor t prepare d byDe l Gree n Associates , Inc
. fo r USEPA , Stationar ySourc e Complianc e Division , Washington , D
. C , Decembe r 198V
. 3
. Fiel d Evaluatio n o f Opacit yFrequenc yMetho d fo r Continuou s Plumes , Contracto r Repor t prepare d byDe l Gree n Associates , Inc
. fo r USEPA , Stationar ySourc e Complianc e Division , Washington , D
. C , Decembe r 1981
. 4
. Fiel d Evaluatio n o f Opacit yFrequenc yMetho d fo r Slowl yChangin g Plumes , Contracto r Repor t prepare d byDe l Gree n Associates , Inc
. fo r USEPA , Stationar ySourc e Complianc e Division , Washington , D
. C , Decembe r 1981
. 5
. Rose , T.'H. , Evaluatio n o f Traine d Visibl e Emissio n Observer s fo r Fugitiv e Emissio n Opacit yMeasurement , EP A600/3-84-093 , USEPA , Researc hTriangle , Park , N
. C. , Octobe r 1984
. 6
. Hamil , H
. F. , Evaluatio n and-Co l 1aborativ e Studyo f Metho d fo r Visua l Determinatio n o f Opacit yo f Emission s fro mStationar ySources , EP A650/4-75-009 , USEPA , Researc hTriangl e Park , N
. C , Januar y1975
. 7
. Evaluatio n o f Visibl e Fugitiv e Emissio n Data , Fina l Contracto r Repor t prepare d b

yDe l Gree n Associates , Inc
. fo r USEPA , Stationar ySourc e Complianc e Division , Washington , D
. C , Novembe r 1983
. 8
. Piserchia , P.V. , Statistica l Analysi s o f Visibl e Emission s Fiel d Tests , Contracto r Repor t prepare d byResearc hTriangl e Institut e fo r USEP A Stationar ySourc e Complianc e Division , Washington
. D.C , Februar y18 , 198 2 Februar y18 , 1982
. 9
. Technica l Guideline : Alternativ e Procedure s fo r Reductio n an d Reportin g o f Metho d 9 Opacit yReadings , Fina l Draf t Report , USEPA , Stationar ySourc e Complianc e Division , Washington , D
. C , Octobe r 1983
. 10
. Hartwell , T.D. , Examinin g th e Propertie s o f Qualifie d Observe r Opacit y Reading s Average d Ove r Interval s o f Les s tha n Si xMinutes , Contrac t Repor t prepare d byResearc hTriangl e Institut e fo r USEPA , Emissio n Standard s an

d Engineerin g Division , Researc hTriangl e Park , N
. C , Jul y1976
.



# 2 1

# P.3 1

APPENDI XA TABULATION S O

F OPACIT

YERRO R DAT AFO R EP AREFERENC

E METHO D 9 (SIX-MINUT E
Excerp tfro m EP

AContrac tRepor t- Evaluatio n an d Collaborativ e Stud yo f Metho d fo rVisua l Determinatio n o fOpacit yo fEmission s fro m Stationar y Source s (Interi m Report) , USEPA, Researc h Triangl e Park , Nort h Carolina , October , 1974

.

A- l

## P.3 2

III

. DAT AAN D ANALYSI S

A

. Terminolog y Thi s interi m repor tdeal s onl ywit h th e questio n o fho wclosel yth e averag e opacit yreporte d b ya qualifie d observe rmatche s th e averag e opacit yobtaine d fro m a n in-slac k transmissometer

. Th e variabl e studie d i s th e dcvia
lio n o fth e averag e opacit yobtaine d b yth e observe rfro m th e transmissomete raverage
. Th e result s are summarize d i n frequenc ydistribution s fo rth e separat e cases
. Th e followin g term s ar e define d t o facilitat e th e understandin g o f ihi s report : (1 ) Determination : Th e arithmeti cmea n o f2 5 consecutiv e opacit yreading s take n a t15-secon d intervals

. (2 ) Mete raverage : Th e averag e opacit yo fth e plum e a s determine d b yth e in-stac k transmissomete rdurin g th e cours e o fa run
. (3 ) Deviation : Th e differenc e betwee n a determinatio n an d th e correspondin g mete raverage ; deviatio n = determinatio n —mete raverage
. (4 ) n : Th e numbe ro fdeviation s i n a give n set

. (5 ) Frequenc ydistribution : Ase to finterval s wit h th e numbe ro ftime s tha tvalue s fal l withi n eac h interval

. (6 ) FR : Frequency

. Th e numbe ro fdeviation s tha tfa! ! withi n a certai n interval

. (7 ) RF : Relativ e Frequency

. Th e proportio n o fdeviation s tha tfal l withi n a certai n interval

. R F = FR/n

. (8 ) CF : Cumulativ e Frequency

. Th e numbe ro fdeviation s tha tfal l i n o rbelo wa certai n interval

. (9 ) >RCF : Relativ e Cumulativ e Frequency

. Th e proportio n o fdeviation s tha tfal l i n o rbelo wa certai n interval , RC F = CF/n

. Afrequenc ydistributio n wit h FR , RF , C F an d RC F i s presente d fo reac h dat a set

. Wit h th e exceptio n o fth e dat a fro m ih e firstles ta tRiverben d Stea m Station , th e interval s use d arcuni tinterval s centere d aroun d th e integer s fro m - 7 io'7

. Th e extrem e deviation s are include d a s greate rth3 n 7. 5 o rless tha n -7.5

. Since th e observers qualif y b yhavin g a n averag e deviatio n o f7.5-percen topacit yo rless , an yvalue s i n thes e range s ca n be considere d t o b e inac
curate

. Ahistogra m showin g th e frequenc ydistributio n o feac h se ti s provided , wit h relativ e frequenc yo n th e y-axis

. Relativ e frequenc yi s chose n sinc e i tprovide s a bette rbasi s fo rcompariso n o fdat a set s wit h unequa l number s o f deviations

. B

. Trainin g Generato r Tw o smok e generator s an d 9 collaborator s were use d t o obtai n th e data

. Afte r1 5 runs , on e o fth e collaborator s bega n operatin g th e secon d transmissomete ran d di d no tmak e an yfurthe robservations

. Thi s cav e a tota l o f30 3 separat e determination s o faverag e opacity

. Th e first1 0 an d th e las t1 0 samplin g run s were mad e usin g a whit e plume , an d th e remainin g I 6 usin g a blac k plume

. Th e resul twa s 1 7 0 determination s o n whit e smoke an d 1 3 3 mad e o n blac k smoke

. Th e case

s are deal twit h separately

. 1

. Whit e Smok e

. Th e determination s mad e b yth e observers ar e show n i n Tabl e 5 alon g wil h th e mcie raverages fro m eac h run
. Fro m ihi s ublc , th e deviation s o fth e observers fro m ih e mete rar ccomputed , an d thes e ar e show n i n Tabl e 6

. Th e frequenc ydistributio n forme d b ythes e deviation s i s show n i n Tabl e 7 an d graphicall yrepresente d b yth e histo
gra m i n Figur e 2

.



## A- 2

# P.3 3

TABL E 5 . DETERMINATION S O F OPACIT

Y O F TRAINING GENERATOR , WHIT E SMOK E (Percen tOpacity )

Ru n No

. 1 2 3 , 4 5 6 7 8 9 1 0 2 7 ' 2 8 2 9 3 0 3 1 3 2 3 3 3 4 3 5 3 6 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 Observe r 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 J7. 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 Transmissomete r

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

TABL E6

. DEVIATIONFRO

M TRAININGGENERATOR , WHIT ESMOK E (Pcfcci- i Opacity ) TABLEI. DEVIATIONFREQUENC Y DISTRIBUTION , TRAININ C GEN

ERATOR

. WHIT

ESMOK E Ru n No . 1 2
*s J 

## 4 5 6 7 S 9 1 0 2 7 2 8 2 9 3 0 3 1 3 2 3 3 3 4 3 5 

# 1 3 6 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 Observe r 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 Interva l

<-7. 5 -7. 5 t o -6. 5 -6. 5 t o -5. 5 -5- 5 t o -4. 5 -4. 5 t o -3. 5 -3. 5 t o -2. 5 -2. 5 t o -1. 5 -1. 5 t o -0. 5 -0. 5 t o 0. 5 0. 5 t o 1. 5 1. 5 t o 2. 5 2, 5 t o 3. 5 3.5i o 4. 5 4. 5 t o 5. 5 5. 5 l o 6. 5 6. 5 i o 7. 5 >7. 5 F R

24 5 2 1 2 5 1 7 1 0 1 4 I T 

## 1 9 1 0 9 S i 

## 6 3 2 R P 0. M 0.0 3 0.0 1 0.0 7 0.0 3 0.1 0 0.0 6 O.O S 0.1 3 0.1 1 0.0 6 0.0 5 0.0 5 0.0 1 00 4 0.0 2 0.0 1 C F 24 2 9 3 1 4 3 4 8 6 5 7 5 8 9 11 1 13 0 14 0 14 9 15 7 15 9 16 5 16 8 17 0 RC F 0.1 4 0.1 7 0.1 8 0.2 5 0.2 8 0.3 S 0.4 4 0.5 2 0.6 5 0.7 6 0.8 2 0.8 7 0.9 2 0.9 3 0.9 7 0.9 9 1.00



# A- 3

# P.3 4

0.1 4 :

1 —



## 1—i — 0.0 1 '—I — 

## I—I— I 0.0 3

— r — _i__
- 0.0 6



## —+ — 0.0 8



## — ( — R F

- 0.5 0

. 0.4 0

-0.3 0

- 0.2 0

U. I J 0.1 1

— r — •

— f — — r — '—1— • 0.0 1

-—r — 

## I—, — 0.0 2 1

i r ^ 0.0 1

- i 1 

## 5 6 8 

## -8-7-6-5-4-3-2-1 0 1 2 3 4 Deviations , % opacit y 

## FIGUR E2

. DEVIATIONFREQUENCYHISTOGRAM , TRAININ GGENERATOR , WHIT ESMOK E


## A s canb eseen , ih ecente r o f th efrequenc y lie s betwee n—1. 5 an d1.5

. Ther ewere2 6 observation s whic h deviate dby ±7. 5 percen t fromih emete r

average , and2 4 of

thes ewerebelo w th emete r average . 2

. Blac

k Smoke Th e13 3 determination s of blac k plumeopacity ar eshow ni nTabl e8 , alon g wit

hth etransmissometer average s fo

r th e1 6 runs . Using thes edata , th edeviation s arecalculate dandpresente di nTabl e9

. Theblac k

smoke deviation s for

mth efrequenc y distributio ni nTabl e10 , whic hi s represente dby th ehistogrami nFigure3

.
TABL E8

. DETERMINATION S O FOPACIT YO FTRAININ GGENERATOR , BLAC K SMOK E (Percent Opacity )
Ru n No

. 1 1 1 2 1 3 1 4 1 5 1 6 1 7 ) 8 1 9 2 0 2 1 2 2 2 3 2 4 2 5 2 6 I
24. 4 7. 4 20. 0 17. 6 7. 4 9. 6 1 3 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 Observe r

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 Transmissomete r

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

## TABL E 9 . DEVIATIO

NFRO M TRAINING GENERATOR , BLAC KSMOK E (Percent Opacity ) TABLE 10 . DEVIATIO NFRE

QUENCYDISTRIBUTION , TRAINING GENERATOR , BLAC K SMOK E Ru n No

. I I 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 24 2 5 2 6 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 Observe r 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



## - Interva l

<-7. 5 -7. 5 t o -6. 5 -6. 5 to-5. 5 -5.5to-4. 5 -4. 5 to-3. 5 -3. 5 10-2. 5 -2. 5 t o -1. 5 -1. 5 t o -0. 5 -0. 5 t o 0. 5 0. 5 t o 1. 5 1. 5 l o 2. 5 2. 5 t o 3. 5 3. 5 t o 4. 5 4. 5 l o 5. 5 5. 5 t o 6. 5 6. 5 t o 7. 5 >7. 5 F

R
1 7 0 1 0 3 7 1 3 1 1 1 0 2 6 2 0 8 4 2 1 1 0 0 R F
0.1 3 0.0 0 0.0 8 0.0 2 0.0 5 0.1 0 0.0 8 0.0 8 0.2 0 0.1 5 0.0 6 0.0 3 0.0 2 0.0 1 0.0 ! 0.0 0 0.(1 0 C F
1 7 1 7 2 7 3 0 3 7 5 0 6 1 7 1 9 7 11 7 12 5 12 9 13 1 13 2 13 3 13 3 13 3 RC F
0.1 3 0.1 3 0.2 0 0.2 3 0.2 8 0.3 8 0.4 5 0.5 3 0.7 3 0.8 8 0.9 4 0.9 7 0.9 8 0.9 9 1.0 0 1.0 0 1.00

R F 0.5 0

- - 0.4 0

- •0.3 0

0.2 0

0.1 3 0.1 0

0.0 8

0.0 0 0.0 2 

## SLQ5. 0.0 S 0.0 8 0.1 5

0.0 6 0.0 3 0.0 2 0.0 1 0.0 1

- * ••-— ' 

### 8



## - 3 - 7 - 6 - 5 - 4 - 3 - 2 - 1 0 1 2 3 4 5 6 7 Devtaiion , percen t

opacity FIGURE3

. DEVIATIONFREQUENC YHISTOGRAM

. TRAININ GGENERATOR , BLAC K SMOK E
Fo r thes edata , ih ecente r o f th edistributio ni s betwee n-6. 5 an d1.5

. similar i o th ewhit esmoke

. Ther e ar c 1 7 determination s wit hdeviation s inexces s o f ±7. 5 percent , an dalt

o f thes ear c negative

. C

. Stauffe rChemica l Compan y
Atota lo f

3 0 samplin g run s wer emad eove r atwo-da y period

. Eleve ncillubu i JI.U S nud e1 4 run s ih eUrsi day

. •md9 collaborator s mad e1 6 th esecon dfo r atota lo f

29 8 separat edcicrmii.ai.-.ns

. O n\\w•.•.V-HHIday

. .-h eo.lbhm.i

lorsrea dth eopacit y i n1-percen t increment s ralhe r

tha nth e5-perecn t

incremen t

specuie, ! inih enu-Hu-d

. th e

1 0 

# A- 5

# P.3 6

TABL E 11

. DETERMINATION S O F OPACITY

. STAUFFE R CHEMICA L

Ru n No

. 1 2 3 4 5 6 7 8 9



## - i o I t 1 2 1 3 1 4 1 5 1 6 1 7 I S 1 9 2 0 2 1 2 2 2 3 2 4 2 5 2 6 27 

# : s 2 9 3 0 1
7 5 5 5 7 5 5 5 1 8 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 1 0 

## i5 0 2 2 ;- 3 0 0

. 0 0 8 9 9 

## i7

• 4 

### s

• 6 1 

### 9 9 9 1 0 1 0 

## . . 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 1 5 7 1 5 5 3 0 1 2 0 1 0 1 2 6 5 5 3 6 1 0 1 3 1 6 1 5 1 6 0.i.\ervc r 5
5 5 3 1 4 2 5 5 1 2 1 0 1 4 3 5 0 3 1 0 1 2 1 3 1 0 5 6 5 7 1 3 1 3 1 7 1 3 1 5 6
5 5 5 5 5 5 5 5 1 4 8 4 5 5 5 0 4 

## 3 ) 1 4 1 4 1 0 6 7 5 7 1 3 1 6 1 7 1 6 1 5 7
4 4 4 4 5 5 5 5 1 1 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 1 0 6 5 5

' " 5 9 1 1 8 9 1 4 1 4 9
5 4 4 4 6 6 6 6 1 4 8 5 5 5 5 3 5 3 4 9 8 6 5 5 5 5 6 7 5 7 6 1 0
7 7 3 3 6 6 6 5 1 2 9 4 5 5 5 1 1
3 2 3 2 4 3 2 2 1 3 8 1 2 1 3 Mete r
9 8 S 8 8 8 8 8 1 4 7 5 6 6 6 2 2 5 4 1 0 1 0 1 0 1 0 7 7 7 9 9 9 9 9

ih e su n i n th e quadran tt o thei rrear
. Fo revaluatio n o fth e method , thes e Th e tw o othe rvariations

. 90-de g angl e an d readin g i n 1-percen t incremen t ation s wer e m3d e outsid e th e constraint s o fth e method

. individua l reading s wer e rounde d l o th e neares t5 percen tprio rt o averagin g them

. Sinc e th e "true " opacit yo fth e plum e durin g an ysamplin g ru n coul d onl yb e oblaine d t o th e neares tpercent , th e observer s average s wer e rounde d t o th e neares tpercen tfo rcomparison

. Th e determination s an d mete raverage s ar e show n i n Tabl e 11

. Th e deviation s fro m th e transmis
somete rar e show n fo rth e Stauffe rtes ti n Tabl e 12

. Fro m thes e data , th e frequenc y distributio n i n Tabl e 1 3 i s constructe d an d represente d b yth e histogra m i n Figur e 4

. I tca n b e see n tha t7 5 percen t o fthes e deviation s occu rfrom- 1 t o

— 5 inclusive

. Ther e ar e fou rdetermina
tion s wit h deviation s i n exces s o f7. 5 per cent , an d thes e ar e divide d evenl ybetwee n hig h an d low

. D

. Riverben d Stea m Statio n Th e thre e testin g period s a tth e Riverben d Stea m Statio n ar e treate d a s separat e case s du e t o th e difference s i n sk yconditions

. Th e dat a set s ar e divide d thre e ways
. Th e contro l grou p wa s read
in g withi n th e conuaint s o fth e method

. I n addition , whe n th e experimenta l grou p wa s a ta 45-de g angl e i o th e sun , tiie ysatisfie d th e requiremen to fhavin g run s ar e include d wit h th e contro l group
. s , ar e presente d separatel ysinc e th e dcleimin
1

. Test !
Te n run s wer e mad e unde rpoo rviewin g condition s b yle n collaborators

. Th e determination s mad e b y th e contro ! cr.ou p ar e presente d i n Tabl e 14 , whil e thos e o fth e experimenta l grou p appea ri n Tabl e 15

. I n ru n 10 , th e entir e contro l grou p an d on e o fth e experimenta l observer s d o no thav e a determination

. Du e t o th e sk ycondi
tion s an d interferenc e fro m anothe rplume , th e observer s fel ttha ta tcertai n time s the ywer e unabl e t o mak e a n evalu
atio n o fth e plum e opacity , an d thu s n o average s coul d b e calculate d tha tcorresponde d t o bot h th e mete ran d t o eac h other

. Th e deviation s fro m th e mete raverag e ar cshow n i n Table s 1 6 an d 17

.

Th e frequenc ydistribution s ar e constructe d wil h th e contro l deviation s an d th e experimenta l deviation s fro m run s 1

. 1 an d 8 use d fo rth e method

. Th e experimenta l deviation s fro m run s 2

. 3 , 9 an d 1 0 ar e use d fo rth e 90-de g variation , an d fro m run s 4 , 5 an d 6 fo rth e 1-percen t variation

.

Th e frequenc ydistributio n tabl e fo rth e metho d i s show n i n Tabl e 1 S an d graphicall ypresente d i n Fi e ur e 5

. Tnes e dai a hav e suc h a n extrem e negativ e bia s tha t th e clas s interval s wer e selecte d i o cente raroun d ih e integer s fro m -1 6 t o -I

. Onl y1 0 o fth e 6 0 determination s wer e withi n 7. 5 percen to fth e mete raverage , an d th e highes t o fthes e wa s -4.3

. Th e frequenc ydistribution s fo rth e othe rtw o case s follo wa simila rpatter n an d ar e show n i n Tabl e 1 9 an d Figur e 6 fo rth e 90-de g dat a an d i n Tabl e 2 0 an d Figur e 7 fo rth e 1-percen t data

.



## 11 

## A- 6

# P.3 7

TABLE 12 . DEVIATIONS FRO M METE RAVERAGE , STAUFFE

RCHEMICA

L Ru n No

. 1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 I S 1 9 2 0 2 ! 

## ->- ) 2 3 - i ' 

### 2 5 2 6 2 7 2 S 2 9 3 0 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 

### Observ e 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 1 0

- 2

- 1

- 5

- 5

- 2

- 2

- 2

- 3

- 2 2

- 1

- 1

- 1

- I 1 1

- 6

- 6

- 5

- 6

- 4

- 4

- 6

- 6

- I 1

- 4

- 4

- 5

- 3

0.1 8 

## R

F -I - 0.5 0

- - 0.4 0

• •0.3 0

• •0.2 0 0.1 6 0.1 6

0.1 1

0.0 3 0.01 , 0.0 1 0.1 4 -

- 0.1 0 0.0 6 

## TABLE 13 . DEVIATIO NFREQUENC

Y DISTRIBUTION, STAUFFE R CHEMICA

L
Interva l
<-7. 5 -7. 5 to-6. 5 -6. 5 t o -5. 5 -5. 5 t o -4. 5 -4. 5 to-3. 5 -3. 5 to-2. 5 -2. 5 t o -1. 5 -1. 5 to-0. 5 -0. 5 t o 0. 5 0. 5 t o 1. 5 1. 5 i o 2. 5 2. 5 i o 3. 5 3. 5 io4. 5 4. 5 i o 5. 5 5. 5 i o 6. 5 6. 5 lo7. 5 >7. 5 FR

2 2 8 3 4 4 9 4 9 5 3 4 1 1 8 1 2 8 3 8 2 3 4 2 R F
0.0 1 0.0 1 •0.0 3 0.1 1 0.1 6 0.1 6 0.1 8 0.1 4 0.0 6 0.0 4 0.0 3 0.0 1 0.0 3 0.0 1 

## n.oi 0.0 1 0.0 1 C F

2 4 1 2 4 6 9 5 14 4 19 7 23 8 25 6 26 8 27 6 27 9 28 7 28 9 29 2 29 6 29 8 RC F
0.0 1 0.0 1 0.0 4 0.1 5 0.3 2 0.4 8 0.6 6 0.8 0 0.8 6 0.9 0 0.9 3 0.9 4 0.9 6 0.9 7 0.9 8 0.9 9 1.00

0.0 4 0.0 3 0.0 3

10.0 1 0.0 1 0.0 1 0.0 1 0.0 1

- . i •i •i ~ -8-7-6-5-4-3-2-1 0 1 2 3 4 5 6 7 Deviations , percen topacit y 

## FIGURE4

. DEVIATIONFREQUENC YHISTOGRAM

. STAUFFERCHEMICA L



## 1 2
A- 7

# P.3 8

TAUL E14 ! CONTROLGROUPDETERMINATIONS , RIVERBEND STEA

M STATION , TES T1

Ru n Nn

. 1 2 3 4 5 6 7 8

. 9 1 0 (Percen t Opacily ) Observe r 1 i


### 6. 4 13.4 , 1 1. 6 5.4 i 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 

## > •Incomplet edat asheet

. 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 

## • Transmissomete r

16. 0 23. 5 26. 0 11. 6 15. 7 26. 1 24. 4 14. 2 13. 0 13. 4



## TABLE16

. CONTROLGROUPDEVIATIONS , RIVERBEND STEA

M STATION , TES T1 Ru n No

. 1I-J i

. :
-i 5 • 

### 6 7 S o 1 0 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 

## • 'Incomplet edat asheet

. Observe r 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 

## TABL

E15

. EXPCRIMENTALCROU PDETERMINATIONS , RIVERBEND STEA

M STATION

. TES T1 (Percen t Opacity )
Ru n No

. I 2 3 4 5 6 7 8 9 1 0 1
5. 4 6. 6 10. 8 5. 2 7. 6 12. 2 7. 5 4, 4 1. 6 2. 0 Observe r 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 •Incomplet edat asheet

. 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 

## * Transmissomete r

16. 0 23. 5 26. 0 11. 6 15. 7 26. 1 24. 4 14. 2 13. 0 13. 4



## TABL E17

. EXPERIMENTALGROU PDEVIATIONS , RIVERBEND STEA

M STATION , TES T1 Ru n No

. 1 i 

### 3 4 5 6 7 8 9 1 0 1
-10. 6 -16. 9 -15. 2 -6. 4 -8. 1 -13. 9 -16. 9 -9. 8 -11. 4 -11. 4 'Incomplet ed a 2

-10. 6 -7. 3 -16. 6 -6. 1 -9. 9 -17. 6 -15. 0 -8. 2 -10. 0 -10. 4

asheet

. Observe r

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 

## •

TABL E18

. METHO

D DEVIATIONFREQUENC Y DISTRIBUTION

. RIVERBEND STEA M STATION , TES TI fille r val
<-16. 5 -16. 5 t o -15. 5 -15. 5 t o -14. 5 -14. 5 l o -13. 5 -13. 5 t o -12. 5 -12. 5 i o -11. 5 -11. 5 t o -10. 5 -10, 5 t o -9. 5 -9. 5 t o -8. 5 -8. 5 t o -7. 5 -7. 5 t o -6. 5 -6. 5 t o -5. 5 -5. 5 i o -4. 5 -4. 5 i o -3. 5 -3. 5 t o -2. 5 -2. 5 i o 1. 5 

## 1 -1. 5 io-0. 5 F R

5 I 5 5 4 8 8 8 3 3 4 2 3 1 0 

# o ! o R F
0.0 8 0.0 2 0.0 8 0.0 8 0.0 7 0.1 3 0.1 3 0.1 3 0.0 5 0.0 5 0.0 7 0-0 3 0.0 5 0 0 2 0.0 0 0.0 0 0.0 0 C F 5 6 1- 1 1 6 2 0 2 8 3 6 4 4 4 7 5 0 5 4 5 6 5 9 6 0 6 0 6 0 6 0 RC F
0.0 8 0.1 0 0.1 8 0.2 7 0.3 3 0.4 7 0.6 0 0.7 3 0.7 8 0.8 3 0.9 0 0.9 3 0.9 8 1.0 0 1.0 0 1.U 0 1.0 0



## 1 3 

# A- 8

# P.3 9

0.1 3 0.1 3 0.1 3
0.0 8 0.0 8 0.0 8

0.0 2

- i 1—•—I—
- — . 

### 0.0 7 0.0 7 0.0 5 0.0 5

I—'—I—•—1—•— t 

### 0.0 5 0.0 3 I ' •' 0.0 2 H h R F
+ 0.5 0

- - 0.4 0

•- 0.3 0

. - 0.2 0

•-0.1 0

-1 7 -1 6 -1 5 -1 4 -1 3 -1 2 -1 1 -1 0 - 9 - 8 - 7 - 6 - 5 - 4 ~ 3 - 2 - 1 0 Deviations , percen topacit y 

## FIGURE5

. METHO

D FREQUENC YHISTOGRAM , RIVERBEND STEA M STATION

. TES T1

TABLE19

. 90-DEGVARIATIO NDEVIATION FREQUENC YDISTRIBUTION , RIVERBEN D STEA M STATION , TES T1
Interva l
<-16. 5 -16. 5 t o -15. 5 -15. 5 10-14. 5 -14. 5 l o -13. 5 -13. 5 to-12. 5 -12. 5 io-11. 5 -11. 5 t o -10. 5 -10. 5 t o -9. 5 -9. 5 t o -8. 5 -8. 5 t o -7. 5 -7. 5 t o -6. 5 -6. 5 t o -5. 5 -5. 5 10-4. 5 -4. 5 to-3. 5 -3. 5 i o -2. 5 -2. 5 t o -1. 5 -1. 5 to-0. 5 F R

8 0 1 0 5 1 2 2 0 0 0 0 0 0 0 0 

# 1 ° R F
0.4 2 0.0 0 0.0 5 0.0 0 0.2 6 0.0 5 0.1 1 0.1 ! 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 C F
8 8 9 9 1 4 1 5 1 7 1 9 1 9 1 9 1 9 1 9 1 9 1 9 19 " 1 9 1 9 RC F
0.4 2 0.4 2 0.4 7 0.4 7 0.7 4 0.7 9 0.8 9 1.0 0 1.0 0 1.0 0 1.0 0 •1.0 0 1.0 0 1.0 0 1.0 0 1.0 0 1.0 0



## 1 4
A - 9

# P.4 0

0.2 0

i i ' 0.0 0

' ••; •i ' 

### 0.2 7

0.2 0

0.0 7

— i — 0.0 0 0.0 0 1— 1 1 — 0.0 7

— 1 — —i

— 0.0 0 — I — 0.0 7 0.0 7

\-rn-. 

### i _ H — 0.0 7

— i — i— i •j j 

### - 0.5 0

0.4 0

0.3 0

-0.2 0

- 0.1 0

-1 7 -1 6 -1 5 -1 4 -1 3 -1 2 -1 1 -1 0 - 9 — S -7-6-5- 4 - 3 -2 - 1 0 Deviations , percen topacit y 

## FIGUR E6

. 90-DE

GVARIATIO NFREQUENC YHISTOGRAM , RIVERBEN D STEA M STATION , TES TI

TABLE20

. J-PERCENTVARIATIONDEVIATION FREQUENC YDISTRIBUTION , RIVERBEN D STEA M STATION , TES T1
Interva l
<-16. 5 -16. 5 to-15. 5 -15. 5 io-14. 5 -14. 5 t o -13. 5 -13.5to-12. 5 -12.5l o -11- 5 -11. 5 l o -10. 5 -10. 5 i o -9. 5 -9.5to-8. 5 -8. 5 to-7. 5 -7.5to-6. 5 -6. 5 t o -5. 5 -5. 5 t o -4. 5 -4. 5 i o -3. 5 -3. 5 l o -2. 5 -2. 5 10-1. 5 -1.5l o -0. 5 F R

3 0 0 1 0 0 1 3 0 I 1 4 1 0 0 0 

# o R F
0.2 0 0.0 0 0.0 0 0.0 7 0.0 0 0.0 0 0.0 7 0.2 0 0.0 0 0.0 7 0.0 7 0.2 7 0.0 7 0.0 0 0.0 0 0.0 0 0.0 0 C F

J 

### 3 3 4 4 4 5 S 8 9 1 0 1 4 1 5 1 5 1 5 1 5 1 5 RC F
0.2 0 0.2 0 0.2 0 0.2 7 0.2 7 0.2 7 0.3 3 0.5 3 0.5 3 0.6 0 0.6 7 0.9 3 1.0 0 1.0 0 1.0 0 1.0 0 1.0 0



## 15
A-al O

# P.4 1

0.4 2

j 1 — 1



### 0.2 6

i 

## !

-•—1 — 0.0 5

— 1 — —t — 

## —! — 0.0 5

— i — 

## 0.1 1 0.1 1

— I — — I — __i ^ 1 1 1 1 , 1 — \ ! 

### R P

-0.5 0

-0.4 0

0.3 0

•0.2 0

-0.1 0

_ 1 7 

### _1 6 -1 5 -1 4 -1 3 -1 2 -1 1 -1 0 - 9 -8-7-6-5- 4 - 3 - 2 - 1 0 Deviations , percen topacit y FIGUR E 7

. 1-PERCEN TVARIATIO N FREQUENC YHISTOGRAM

. RIVERBEN D STEA M STATION

. TES T1


## 2

. Tes t2
Ther e wer e 1 8 run s mad e o n th e secon d tes tday

. .c-m h run , th e transmissomete rinitiate d it s automati ccalibr a calibratio n opacitie s (0 % the n 95%) , an d n o measuremen to f
TABL E21

. CONTRO LCROU PDETERME NATIONS , RIVERBEND STEA

M STATION , TES T2 (Percen t Opacity )

Ru n No

. 1 i 

### 3 4 

## * 

# 1 6 1 7 8 ! 9 ! 11

- 1 2 1 3 l- l 

### 1 5 j 1 6

- 1 7 I K 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
1 0 Lim l 

### Observe r

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
Jno i b ecompl e 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 Transmissomete r

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 

## , bu tru n 1 0 coul d no tb e used

. Durin g th e cours e o fth e

tio n check

. Durin g thi s check , th e mete rshows onl yth e th e tru e plume-opacii ywa s available

. A s a result , tli e ru n ha d t o b e aborte d befor e 2 5 reading s coul d b e made

. Th e determination s mad e b yth e 5 contro l observers are give n i n Tabl e 21 , an d thos e b yth e 5 experimenta l observers i n Tabl e 22

. Tw o determination s are missin g i n th e experimenta l se twher e th e observers coul d no t judg e th e opacit yof

th e plume

. Th e deviation s fro m th e mete raverag e are give n i n Table s 2 3 an d 2 4 fo rth e contro l an d experi
mental , respectively

. Th e frequenc ydistributio n o f th e deviation s obtaine d i n th e us e o fth e metho d i s show n i n Tabl e 25 , usin g th e contro l deviation s an d th e experimenta l deviation s fro m run s 3,4,7.8 , 3 7 an d 18

. Th e frequenc ydistributio n i s represente d b y th e histogra m i n Figur e S

. Thes e value s are als o lo w biase d bu tno tt o ih e extreme s tha t th e previou s dat a were. ' Th e cente ro fth e deviation s i s nea r-4 , an d al l I S value s whic h diffe rfro m ih e meic raverag e b y 7. 5 percen to rgreate rar cnegative

. Th e frequenc ydistributio n fo rth e 90-de g variatio n i s give n i n Tabl e 2 6 usin g run s 5 , 6

. 9 , 1 3 an d 1 4 fro m ih e experimenta l daia

. Th e histogra m fo rthes e dat a i s i n Figur e 9

. Thes e deviation s ar e

1 6

A-l l

# P.4 2

TABL E 22 . EXPERIMENTA

L CROU PDETERMINATIONS , RIVERBEN

D STEA M STATION, TEST 2 (Percen t Opacity )


### Ru n Nn

. 1 2 3 4 5 6 7 S 9 

# U t 1 2 1 3 1 4 1 5 1 6 1 7 I S Observe r 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 •Incomplet edat ashecl

. t Ru n1 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 Transmissomele r

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



## ,,. « TABL E 23 . CONTROL-GROU PDEVIATIONS , RIVERBEN

D STEA M STATION, TEST 2 (Perccn i Opacity )
Ru n No

. I 2 3 4 5 6 7 8 9 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 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 Observe r

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



## TABL E24

. EXPERIMENTA

LGROU PDEVIA

TIONS

. RIVERBEN

D STEA M STATION , TES T2 TABL E25

. METHO

D DEVIATIONFRE

QUENCYDISTRIBUTION

. RIVERBEN D STEA M STATION , TES T2
Ru n No

. 1 2 i

H 

### 5 6 7 8 ' 9 , l i t 1 2 1 3 • .1 4 1 5 1 6 IT

-

' S

•D-J ; 

## NRy r 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 , i c 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

. Observe r

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 Interva l
<-7. 5 -7. 5 to-6. 5 -6.5to-5. 5 -5. 5 i o -4. 5 -4. 5 to-3. 5 -3. 5 i o -2. 5 -2. 5 t o -1. 5 -1. 5 io-0- 5 -0. 5 i o 0. 5 0. 5 t o 1. 5 1. 5 t o 2. 5 2.5to3. 5 3. 5 1 0 4. 5 4. 5 t o 5. 5 5. 5 i o 6. 5 6. 5 i o 7. 5 > 7 5 F R

1 8 6 1 1 1 0 1 4 1 2 1 2 1 0 9 5 4 1 1 0 0 0 0 R F
0.1 6 0.0 5 0.1 0 0 0 9 0.1 2 0.1 1 0.1 1 0.0 9 0.0 8 0.0 4 0.0 4 0.0 1 0.0 1 0.0 0 0.0 0 0.0 0 0.0 0 C F

1 8 24 3 5 4 5 5 9 7 1 S 3 9 3 10 2 10 7 11 1 11 2 11 3 11 3 11 3 11 3 1 1 3 RC F
0.1 6 0.2 ! 0.3 1 0.4 0 0.5 2 0.6 3 0.7 3 0.8 2 0.9 0 0.9 5 0.9 8 0.9 9 1.0 0 1.0 0 1.0 0 1.0 0 1.0 0



## 1 7

A - l 2

# P.4 3

1

0.1 6

( a n i n

0.0 5


## —*+— — f — 0.0 9

— J — 0.1 2

—f — 0.1 1

—r — —F — — 1 — R F 0.5 0

- 0.4 0

- 0.3 0

•0.2 0

0.1 0 0.0 8
0.0 4 0.0 4
— I — 

# 1—|— 1 0.0 1 0.0 1 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 , percen topacit y 

## FIGURES

. METHOD DEVIATIONFREQUENC YHISTOGRAM

. RIVERBEND STEA. M STATION

. TES T2

TABL E26

. 90-DEGVARIATIO NFREQUENC Y DISTRIBUTION , RIVERBEND STEA M STATION , TES T2
Interva l
<-7. 5 -7. 5 t o -6. 5 -6. 5 i o -5. 5 -5. 5 t o -4. 5 -4. 5 to-3. 5 -3. 5 t o -2. 5 -2. 5 io-1. 5 -1. 5 t o -0. 5 -0. 5 t o 0. 5 0. 5 i o 1. 5 1. 5 lo2. 5 2. 5 t o 3. 5 3. 5 io4. 5 4. 5 t o 5. 5 5. 5 t o 6. 5 6. 5 i o 7. 5 >7. 5 F R

4 0 6 8 1 3 0 0 0 1 0 1 1 0 0 0 0 R F
0.1 6 0.0 0 0.2 4 0.3 2 0.0 4 0.1 2 0.0 0 0.0 0 0.0 0 0.0 4 0.0 0 0.0 4 0.0 4 0.0 0 0.0 0 0.0 0 0.0 0 C F
4 4 1 0 1 8 1 9 2 2 2 2 2 2 2 2 2 3 2 3 2 4 2 5 2 5 2 5 2 5 2 5 RC F
0.1 6 0.1 6 0.4 0 0.7 2 0.7 6 0.8 8 0.8 8 0.8 8 

# o.s s 0.9 2 0.9 2 0.9 6 1.0 0 1.0 0 1.0 0 1.0 0 LO O



## A - l 3

# P.4 4

1 

## i

- 0.1 6

0.0 0 1—j — 

### 0.2 4

— I — 0.3 2

— f — i



### 0.0 4
— 1 — 0.1 2

— 1 — 

## 0.00 o.oo

• — 1 r — 

### R F

- 0.5 0

0.4 0

•0.3 0

- 0.2 0

* 0.1 0
0.0 4
— 1 — 0.0 0

-a—4a

. i 

### 0.0 4
— 1 — __j — 

### 0.0 0

— j : j i



### - 7 - 6 - 5 - 4 -3-2-1 0 1 2 Deviations , percen topacit y 

## FIGUR E9

. 90-DE

GVARIATIO

NFREQUENC

YHISTOGRAM

. RIVERBEN D STEA M STATION.TEST2

t 

## sligh t Iv lower thanthos efromth emethods , withth emajority fallin g betwee n-6. 5 an d-4.5

. Therear e4 value s whic hdcvi-n eb

y morethan7. 5 percent

fromth emete r

averag ean dallfalli

nth enegativ eendo

f thedistribution

. TABL E27

. i-PERCEN

TVARIATIO

NDEVIA

- Th e1-percent variatio nfrequenc y distributio nis give ni n TIO NFREQUENC

YDISTRIBUTION, RIVER

- Tabl e2 7 for

th eremaining-run s fro mth eexperimentalgroup and BENDSTEAJ

M STATION, TEST2 graphe di nFigure10

. Thes edeviation s ten dto b elower thaneithe r o f th eothe r

tw o sets , an dalmos t

hal f fallbelo w -7. 5 percent
. 3

. Tes t3 

## Ther ewere24 runs b y th e8 collaborator s a t th ethirdtest

ing perio dfo

r atota lo f

19 2 determinations

. Thecontro lcrou p deter

mination s are-giveni

nTabl e2 S andth eexperimenta lgroup determina

tion s i nTabl e2 9 alon g withth emete r averag efo

r eac hrun . Th edevia

tion s ar egive ni nTabl e3 0 and3 1 for

th econtro landexperimenta l groups , respectively

.

Th edeviation s for

evaluatin g th emetho dcomefro mth e contro lgrou p an dfromruns 3,4 , 5 , 6 , 7 , 8 , 17

. 18

. 2 1 and2 2 of ih e experimenta lgroup . Th efrequenc y distributio nfo r thes edeviation s i s giveni nTabl e32

. Th ehistogra mrepresentin g thes edat ai s i nFigure11

. A s ca nb eseen , th ecente r

o f thi s distributio nlie s i

ntherang efrom-0. 5 l o 1.5

. Ther ear

e1 5 determination s whic hdiffe r fro mtli emete r

by more than7. 5 percent , 2 i

nth ehighen dand1 3 i nth elow endof

th edistribu

tion

. Tlie;90-de g variatio nfrequenc y dislributio ni s i nTabl e33

. un

dgraphe di

nFigure1 2. Tiies edeviaiion s wer elake nfroni th eexperimenta lgrou p runs 1 3

. 14

. 1 5 , 1 6 , 2 3 and24

. Thes edeviation s havealow bia s i ncompariso nto th emetho ddeviations , centere dbetwee n-3. 5 and-1.5

. On edeviatio nlie s i nth elower

endof th ecurve , whil enon earei

nth euppe r

end

. Interva l
<-7. 5 -7. 5 i o -6. 5 -6. 5 i o -5. 5 -5. 5 i u -4. 5 -4. 5 l o -3. 5 -3. 5 i o -2. 5 -2. 5 t o -1. 5 -1. 5 l o -0. 5 -0. 5 i o 0. 5 0. 5 i o 1. 5 l.5-io2. 5 2. 5 io*3. 5 3 5 i o 4. 5 4. 5 io5. 5 5. 5 l o 6. 5 6. 5 t o 7. 5 >7. 5 

## ; K R

i1 4 

## ! J 

# i4 1 2 1 * )
< 2 

### 2

• 0


### ' 0 

## ; ' ! o

' 0



## . o 0 1 

### 0 0 ; 0 R F
0.4 7 0.1 0 0.1 3 0.0 7 O.0 7 0.0 7 0.0 7 0.0 0 0.0 0 0.0 3 0.0 0 0.0 0 O.O O 0.00 " 0.0 0 0.0 0 0.0 0 C F
1 4 1 7 2 1 2 3 2 5 2 7 2 9 2 9 2 9 3 0 3 0 3 0 3 0 3 0 3 0 3 0 3 0 RC F
0.4 7 0.5 7 0.7 0 0.7 7 0.8 3 0.9 0 0.9 7 0.9 7 0.9 7 LO O 1.0 0 1.0 0 1.0 0 1.0 0 1.0 0 1.0 0 

## i.o o

A-1 4

# P.4 5

0.4 7



## :

0.1 0

— i — 0.1 3

— l — 

### 0.0 7 0.0 7 0.0 7

— t — — I — — i — 

### 0 (

0.0 0 0.0 0 l 1 |

_ 

### R F

0.5 0

- 0.4 0

- 0.3 0

•0.2 0

- 0.1 0

5 3 —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 , percen topacit y •IGUR E10

. 1-PERCEN TVARIATIO NFREQUENC YHISTOGRAM , RIVERBEN D STEA M STATION , TES T2

TABLE2s

. CONTRO LCROU PDETERMINATIONS , RIVERBEN D STEA M STATION , TES T3

{Percen t Opacity ) TABL E29

. EXPERIMENTA LGROU PDETERMINA

TIONS

. RIVERBEN D STEA M STATION

. TES T3

{Percen tOpacity )
Ru n No

.

• * • 

### 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 I S 1 9 2 0 2 1 2 2 2 3 2 4 Observe r

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. l 

### 2 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 Trainsmissomete r

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 Ru n No

. 1r-l 

### 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1

- n 2 3 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 Observe r 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 Transmissomete r

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-1 5

# P.4 6

TABL E30

. CONTROLGROUPDEVIA

TIONS

. RIVERBEND STEA M STATION

. TES T3

i 

## lIYreia'h l Opacity )
Ri m No

. 1 

# * » 3 4 5 6 7 X M il ) 1 1 1 2 1 3 1 4 1 5 1 6 1 7 I S 1 9 2 0 2 1 2 2 2 3 2 4 1

1. 9 <>. L 

# u.s I. U 3. 7 1. 6 5. 6 2. 4 3 4 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 Observe r

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

. EXPERIMENTA LGROUP DEVIATIONS , RIVERBEND STEA M STATION , TES T3 (Percent Opacity ) TABLE32

. 'METHOD DEVIATION FREQUENC YDISTRIBUTION , RIVERBENDSTEAM STATION

. TES T3

Ru n No

. 1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 2 4 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 Obs c 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 rvc r

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 Inicrva l

<-7. 5 -7. 5 t o -6. 5 -6. 5 t o -5. 5 -5. 5 l o -4. 5 -4.5to-3. 5 -3.5lo-2. 5 -2. 5 t o -1. 5 -1. 5 t o -0. 5 -0. 5 t o 0. 5 0. 5 i o 1.5 1. 5 t o 2. 5 2. 5 t o 3. 5 3. 5 t o 4. 5 4. 5 t o 5. 5 5. 5 t o 6. 5 6. 5 t o 7. 5 >7. 5 F R

1 3 3 1 7 I I 9 1 0 1 2 1 6 20 1 7 7 3 2 3 0 2 R F
0-1 0 0.0 2 0.0 1 0.0 5 0.0 8 0.0 7 0.0 7 0.0 9 0.1 2 0.1 5 0.1 3 0.0 5 0.0 2 0.0 1 0.0 2 0.0 0 0.0 1 Cl

:


### 1 3 1 6 1 7 24 35 44 54 6 6 8 2 102 11 9 12 6 12 9 13 1 13 4 13 4 13 6 RC F
0.1 0 0.1 2 0.1 3 0.1 8 0.2 6 0.3 2 0.4 0 0.4 9 0.6 0 0.7 5 0.8 8 0.9 3 0.9 5 0.9 6 0.9 9 0.9 9 1,0 0

0.1 0 0.0 8 0.0 5

. 0.0 1 I—.*— 1 0.0 8

0.0 7 0.0 7 R F

4-0.5 0

--0.4 0

. - 0.3 0



## • - 0.2 0 0.1 5 0.1 2 

## 0.1 3

0.0 5 

# ^2 L

# 0.0 1 i^ L

# o.o o o.o i

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

## Deviations , percent

opacity FICURE11

. METHOD DEVIATIONFREQUENCYHISTOGRAM

. RIVERBEND STEA M STATION

. TES T3

2 1
A-1 6

# P.4 7

TABL E33

. 90-DEGVARIATIONDEVIATION FREQUENC YDISTRIBUTION

. RIVERBEND STEA M STATION

. TES T3
Interva l
<-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 t o -0. 5 -0. 5 t o 0. 5 0. 5 t o 1. 5 1. 5 lo2. 5 2. 5 i o 3. 5 3. 5 io4. 5 4. 5 lo5. 5 5. 5 i o 6. 5 6. 5 t o 7. 5 >7. 5 F R

1 1 2 3 O l 5

. 3 I 3 2 1 0 2 , 

# o : 0 ' 0 0 R F
0.0 4 0.0 4 0.0 8 0.1 3 0.0 0 0.2 1 0.1 3 0.0 4 0.1 3 0.0 8 0.0 4 0 0 0 0.0 8 0.0 0 0,0 0 0.0 0 0.0 0 C F

- I 

### 2 4 7 7 1 2 15

- 1 6 1 9 2 1 2 2 2 2 2 4 2 4 2 4 2 4

. 2 4 RC F
0.0 4 0.0 8 0.1 7 0-2 9 0.2 9 0.5 0 0.6 3 0.6 7 0.7 9 0.8 8 0.9 2 0.9 2 1.0 0 1.0 0 1.0 0 1.0 0 1.0 0 

## TABL E34

. 1-PERCEN

TVARIATIO NDEVIA

TIONFREQUENC YDISTRIBUTION , RIVER

BEN D STEA M STATION , TES T3
Interva l
<-7. 5 -7. 5 t o -6. 5 -6. 5 t o -5. 5 -5. 5 i o -4. 5 -4. 5 lo-3. 5 -3. 5 t o -2. 5 -2. 5 to-1. 5 -1. 5 l o -0. 5 -0. 5 t o 0. 5 0. 5 t o 1. 5 1. 5 i o 2. 5 2. 5 t o 3. 5 3. 5 t o 4. 5 4. 5 t o 5. 5

- 5. 5 t o 6. 5 6. 5 t o 7. 5 >7. 5 F R

1 1 1 2 1 I 2 1 5 2 3 1 I 0 I 0 0 0 R F
0.3 4 0.0 3 0.0 6 0.0 3 0.0 3 0.0 6 0.0 3 0.1 6 0.0 6 0.0 9 0.0 3 0.0 3 0.0 0 0.0 3 0.0 0 0.0 0 0.0 0 C F
1 ) 1 2 1 4 1 5 1 6 1 8 1 9 24 2 6 2 9 3 0 3 1 3 1 3 2 3 2 3 2 3 2 RC F
0.3 4 0.3 8 0.4 4 0.4 7 0.5 0 0.5 6 0.5 9 0.7 5 0.8 1 0.9 1 0.9 4 0.9 7 0.9 7 1.0 0 1.0 0 1.0 0 1.0 0



## Th e1 -percen t

variatio ni s represente db y th efrequenc y distributio ni nTabl e34

. base do nth eremainin g experimenta lruns . Ther ei s alarg enumbe r o f deviation s mor etha n7. 5 percen t belo w th emete r

average , wit hth e remainin g value s well-scattere dthroughou t th eintervals

. Th efrequenc y histogra mfo r thes edut ai s show ninFigur e13

.

0.0 4


# : i

i 1



### 0.O 4 0,0 8 0.1 3

0.0 0 0.2 1

— i — 

### 0.1 3

0.0 4 

# o

" R F 0.5 0

- 0.4 0

0.3 0

•0.2 0

1 3
0.0 8

— 1 — 

### 0.0 4



# , 0.0 0 0,0 8

_ 8 - 7 -6-5-4-3-2- 1 0 1 2 3 Deviations , percen t

opacit y I'.WKI

. 12

. 90-DE GVARIATIO NDEVIATIO NFREQUENC YHISTOGRAM

. RIVERBEN D STEA. M STATION.T i S T



## A-1 7

# P.4 8

1

1 1 1

1 

### 0.3 4

i

i



### 1

h — 0.0 6 0.0 3
—F — — i — 

### 0.0 3

— 1 — - 4 — 0,0 6

— i — 

### 0.0 3
— 1 — 0.1 6



## — t — RF

- 0.5 0

- 0.4 0

* 0.3 0

* 0.2 0

0.0 6 0.0 9

—4 — 0.0 3
— 1 — — i — 

### 0.0 0

..... . • • 

### 0.0 3 0.0 0

' • -J- , i - —



### - 7 -6-5-4-3-2-1 0 1 2 3 Deviations , percen topacit y 

### 6 7



## FIGUR E13

. 1-PERCEN

TVARIATIONDEVIATIONFREQUENC YHISTOGRAM , RIVERBEND STEA

M STATION , TES T3



## 2 3


## A-1 8

# P.4 9

APPENDI XB

SUMMARYTABLE S FOROPACIT YERRORFREQUENC YDISTRIBUTION B YAVERAGIN

GPERIO D

l- l

# P.5 0

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# P.5 5

APPENDI XC

TABULATION S O F OPACIT YERRO RDATABY STUDY , PLUM E COLOR , AVERAGIN GINTERVAL AN D INDIVIDUA L OBSERVER S

INDE XO F TABLE S Stud y Plum e Color/Averagin g Interva l Pag e N o RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL 2 FE l RT P FL I FL 2 FE l RT P FL I FL2 FE l Whit e Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Blac k Smoke , B l ac k Smoke , Blac k Smoke , B l ac k Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , Whit e Smoke , 15-Secon d Averag e

15-Secon d Averag e 15-Secon d Averag e 15-Secon d Averag e 15-Secon d Averag e 15-Secon d Averag e 15-Secon d Averag e 15-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 30-Secon d Averag e 1-Minut e Averag e 1-Minut e Averag e 1-Minut e Averag e 1-Minut e Averag e 1-Minut e Averag e 1-Minut e Averag e 1-Minut e Averag e 1-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 2-Minut e Averag e 3-Minut e Averag e 3-Minut e Averag e 3-Minut e Averag e 3-M i nut e Averag e C 3 C 4 C 5 C 6 C 7 C 8 C 9 CI O Cl l C1 2 C1 3 C1 4 C1 5 C1 6 

# cr / C1 8 C1 9 C2 0 C2 1 C2 2 C23 C24 C2 5 C26 C2 7 C28 C29 C3 0 C3 1 C3 2 C33 C3 4 C35 C3 6 C3 7 C38 C- 1

# Inde x(Continued ) P.5 6

Stud y Plum e Color/Averagin g Interva l Pag e N o RT P FL I FL 2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 FE l RT P FL I FL2 , FE l RT P FL I FL2 FE l Blac k Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Whit e Smoke , Whit e Smoke ; Whit e Smoke , Whit e Smoke , Blac k Smoke , Blac k Smoke , Blac k Smoke , Blac k Smok e Whit e Smok

e Whit e Smok

e Whit e Smok

e Whit e Smok

e Blac k Smok e Blac k Smok e Blac k Smok e Blac k Smok e Whit e Smok

e Whit e Smok

e Whit e Smok

e Whit e Smok

e Blac k Smok e Blac k Smok e Blac k Smok e Blac k Smok e Whit e Smok

e Whit e Smok

e Whit e Smok

e Whit e Smok

e Blac k Smok e Blac k Smok e Black-Smok e Blac k Smok e Whit e Smok

e Whit e Smok

e Whit e Smok

e Whit e Smok

e Blac k Smok e Blac k Smok e Blac k Smok e B l ac k Smok e 3-Minut e Averag e 3-Minut e Averag e 3-Minut e Averag e 3-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 4-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 5-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 6-Minut e Averag e 7-Minut e Averag e 7-Minut e Averag e 7-Minut e Averag e

, 7-Minut e Averag e 7-Minut e Averag e

, 7-Minut e Averag e

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, 7-Minut e Averag e

, 8-Minut e Averag e

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, 8-Minut e Averag e

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0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 FL2-B-1-03- 1 FL2-B-1-03- 2 FL2-B-1-03- 3 FL2-B-1-03- 5 FL2-B-1-03- 6 • FL2-B-1-03- 7 FL2-B-1-03- 8 FL2-B-1-03- 9 FL2-B-1-03-1 0 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-I-04-1 0 23 7 23 7 23 7 23 7 23 7 23 7 23 7 23 7 23 7 18 9 1B 9 18 9 1B 9 1B 9 18 9 18 9 1B 9 1B 9 7 9

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## .180 0 2 6 12 4 51 5 77 1 B4 3 90 2 112 1 125 2 141 7 163 1 16 9



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. =< 5 = <7. 5 =<1 0 =<1 5 >1 5
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. 17 7 6 3 17 7 17 7 17 7 17 7 17 7 17 7 22 5 22 5 22 5 22 5 22 5 22 5 22 5 20 0 22 5 22 5 22 5 22 5 18 4 22 5 22 5 22 5 22 5 22 5 22 5 17 7 17 7 17 7 17 7 17 7 17 7 15 2 16 2 17 7 17 6 17 7 17 7 8 2 17 7 17 7 17 7 17 7 17 7 17 7 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 0 22 5 22 5 22 5 22 5 22 5 22 5 17 7 17 7 17 7 17 7 17 7 17 7 15 6 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 177

- 17 7 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 17 7 17 7 17 7 17 7 17 7 17 7 16 0 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 0

0 0 0 0
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## 763 8 124 7 334 0 59S 5 723 7 735 9 743 6 761 2 762 1 763 8 763 8



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0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 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-1-03-1 0 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-1-04-1 0 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 7 4

0 5 0 0 0 0 0 0 0 1 5 0 4 7 0

. 0 0 0 0 0 12 7 7 12 7 

## A 0 0 4 6 0 0 2 6 0 7 9 0 0 0 3 6 3 0 19 0 6 8 20 0 1 7 3 1 1 10 0 2 1 3 4 2 3 2 14 3 4 5 3 4 3 5 6 1 4 6 0 22 4 17 2 20 9 4 7 3 9 9 2 18 6 9 5 3 6 5 0 7 2 17 7 9 0 6 0 9 0 8 6 8 7 2 22 5 18 1 21 1 4 9 4 0 11 4 20 1 10 5 4 3 7 6 8 7 17 7 10 5 * 8 1 10 6 10 8 9 6 7 22 5 19 2 21 5 5 9 4 2 15 0 20 6 11 9 5 6 10 3 10 1 17 7 12 7 9 1 12 2 14 1 11 6 1 1 22 5 22 5 22 5 16 7 7 6 19 8 22 5 16 9 10 6 13 5 15 6 17 7 17 2 15 1 16 0 15 7 14 6 3 5 22 5 22 5 22 5 16 8 16 6 20 5 22 5 20 1 13 8 14 7 16 1 17 7 17 7 17 0 16 9 16 2 17 1 7 3 22 5 22 5 22 5 19 7 19 2 22 4 22 5 21 3 18 8 16 5 16 9 17 7 17 7 17 7 17 7 16 8 17 7 11 9 22 5 22 5 22 5 22 4 22 5 22 5 22 5 22 5 22 1 17 7 17 7 17 7 17 7 17 7 17 7 17 7 17 7 16 3 0

0 0 1 0 0 0 0 4 0 0 0 0 0 0 0 0 1 4 

## S61 8 18 6 45 7 106 9 181 4 201 2 226 3 290 5 320 5 342 0 359 9 1 9



# C-4 9

# P. 5

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. DI F FIL E NAM E AVG=<-i 5 =<-1 0 =<- 5 =<- l < 0 = < 1 =< 5 =<7. 5 =<1 0 <=<1 5 >1 5

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

## 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 22 5 22 5 22 5 22 5 22 5 22 5 22 5 22 5 

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### 11 5 20 5 1 9 

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### 22 5 14 2 14 2 19 3 22 5 6 2 4 6 4 1 

### 22 5 15 7 15 6 19 5 22 5 7 9 5 5 4 4 

### 22 5 19 1 21 4 22 5 22 5 16 2 11 1 6 3 

### 22 5 19 4 22 4 22 5 22 5 18 7 13 2 16 1 22 5 19 7 22 5 22 5 22 5 19 1 16 0 19 1 22 5 22 5 22 5 22 5 22 5 21 2 19 7 19 7 

### 0

0 0 0 0 1 3 2 8 2 8 

## 160 0 3 7 17 4 63 6 102 4 107 6 113 6 143 6 157 3 163 9 173 1 6 9



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17 3 17 3 17 3 17 3 17 3 22 1 22 1 22 1 22 1 22 1 22 1 12 5 12 5 12 5 12 5 12 5 12 5 22 1 22 1 19 7 19 7 19 7 19 7 19 7 22 1 22 1 22 1 22 1 22 1 22 1 7 7 7 7 7 7 7 7 7 7 7 7
615 6 =<-1 5

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22 1 21 4 13 2 12 3 7 7 7 7 7 7 7 7 7 4 6 8 459 3 <7. 5

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0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 DI F FIL E NAM E

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-1-01-1 0 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-1-02-1 0 AV G

22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 =<-1 5

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 = < ~ 1 0

0 0 0 0 0 0 

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### 0 = < 1

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### 14 3 9 9 13 9 3 6 15 B 8 5 20 5 7 3 2 5 3 5 10 3 10 9 9 3 16 4 6 3 16 1 2 7 2 2 c:7. 5

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21 7 16 9 19 9 16 1 21 5 17 7 22 1 14 4 9 9 11 3 14 4 16 7 15 5 17 3 16 3 17 3 13 2 3 6 = <1 5

22 1 22 1 22 1 19 7 22 1 22 1 22 1 20 5 16 4 14 5 17 3 17 3 17 3 17 3 17 3 17 3 17 3 7 0 >1 5

0 0 0 2 4 0 0 0 1 6 5 7 2 8 0 0 0 0 0 0 0 10 3 

## 354 6 6 3 48 6 67 6 BB4 174 0 229 9 285 8 331 8 22 B



# C-5 3

# P. 9

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0 1 FE1-W-1-01- 1 22 1 0 3 54 9 6 10 4 11 3 14 6 16 1 17 5 19 2 2 9 0 2 FE1-W-1-01- 2 22 1 0 0 6 7 12 4 13 9 14 5 16 4 17 4 19 0 20 5 1 6 0 3 0 4 0 5 0 6 0 7 0 8 FE1-W-1-01- 3 FE1-W-1-01- 4 FE1-W-1-01- 5 FEl-W-1-01- 6 FE1-W-1-01- 7 FE1-W-1-01- 8 22 1

22 1 22 1 22 1 22 1 22 1 0 1 8 0 0 0 0 0 6 8 6 0 0 0 0 16 2 10 2 10 9 0 0 1 7 17 2 16 2 15 0 1 4 2 8 2 5 17 2 16 3 15 2 2 0 5 3 3 1 17 5 16 4 15 4 4 0 6 6 9 9 18 8 17 2 16 2 7 6 10 7 11 6 20 2 17 6 16 8 8 6 14 5 15 3 21 1 18 0 17 8 11 2 17 4 19 9 22 1 22 1 21 5 15 8 19 7 2 2

0 0 6 6 3 24 176 8 I B 9 7 51 4 76 3 82 8 88 8 111 4 122 8 137 3 160 8 16 0



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F^L

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No
. DI F FIL E NAM E AVG=<-1 5 =<-1 0 =<- 5 =<- l < 0 =< 1 =< 5 =<7. 5 =<1 0 =<1 5 >1 5

0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 1 0 1 1 1 2 1 3 14 1 5 1 6 1 7 I B 1 9 2 0 2 1 T > 

### 2 3 2 4 -i~ i 

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### 3 1 3 2 3 3 3 4

•_'- J 

### 3 6 3 7 3 8 FLI-B-l-03- 1 FLI-B-l-03- 2 FL1-B-1-03- 3 FLI-B-l-03- 4 FL1-B-1-03- 5 FL1-B-1-03- 6 FL1-B-1-03- 7 FL1-B-1-03- 8 FL1-B-1-03- 9 FL1-B-1-03-1 0 FL1-B-1-03-1 2 FLI-B-l-03-1 3 FL1-B-1-03-1 4 FL1-B-1-03-1 5 FL1-B-1-03-1 6 FLI-B-l-03-1 7 FL1-B-1-03-1 8 FLI-B-l-03-1 9 FL1-B-1-03-2 0 FL1-B-1-04- 1 FL1-B-1-04- 2 FL1-B-1-04- 3 FL1-B-1-04- 4 FL1-B-1-04- 5 FL1-B-I-04- 6 FL1-B-1-04- 7 FL1-B-1-04- 8 'FLI-B-l-04- 9 FL1-B-1-04-1 0 FL1-&-1-04-1 2 FL1-B-1-04-1 3 FL1-B-1-04-1 4 FL1-B-1-04-1 5 FL1-&-1-04-1 6 FL1-&-1-04-1 7 FLI-B-1-04-1 8 FL1-B-1-04-1 9 FLI-B-l-04-2 0 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17. 3 

### 1 0 3 1 7 1 13 6 4 9 8 5 3 2 0 3 7 3 5 11 6 

# 0 0 3 1 13 0 4 3 16 8 2 3 7 3 0 4 0 3 3 0 0 1 0 0 0 0 0 0 0 6 0 5 6 0 0 10 9 16 3 14 2 22 0 12 5 20 3 7 9 4 2 12 5 5 3 16 1 8 1 3 6 4 22 0 16 2 22 1 9 6 18 1 

# a 6 1 9 1 15 1 3 7 8 8 4 5 0 0 2 9 4 0 0 0 10 6 4 8 14 9 1 2 0 22 1 22 1 20 3 22 1 17 6 22 1 22 1 9 1 20 3 19 6 22 1 16 7 6 1 16 2 22 1 22 1 22 1 22 1 22 1 17 0 15 1 15 1 17 3 16 6 17 1 8 1 0 11 9 12 1 12 4 5 0 0 3 0 16 5 13 1 17 3 11 4 9 9 22 1 22 1 22 1 22 1 22 1 22 1 22 1 14 6 22 1 22 1 22 1
->*>• 

### 13 6 21 7 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 14 7 14 5 17 3 17 0 17 3 17 3 4 6 15 4 17 3 17 3 17 3 17 3 17 0 22 1 22 1 22 1 22 1 22 1 22 1 22 1 18 0 22 1 22 1 22 1 22 1 16 3 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 11 9 15 1 17 3 17 2 17 3 1 73 " 6 0 17 3 17 3 17 3 17 3 17 3 17 3 22 1 22 1 22 1 22 1 22 1 22 1 22 1 20 0 22 1 22 1 22 1 22 1 18 0 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 15 0 15 8 17 3 17 3 17 3 17 3 7 8 17 3 17 3 17 3 17 3 17 3 17 3 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 0 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 15 4 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 -72 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3

• '17 3 

### 17 3 15 9 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 r?-? ! 

### 22 1 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 ?? 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 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 ij l 

### 0 0 0 0 0 0 0 0 0 0 0 0 

## 748 6 117 0 325 6 587 9 711 6 722 7 729 1 746 6 747 2 748 6 748 6



# C-5 6

## f="L_ S —B —• 

# P.1 2

No
. DI F FIL E NAM E AVG=<-1 5 =<-1 0 =<- 5 =<- l <0=< 1 =< 5 =<7. 5 =<1 0 =<1 1 >1 5

0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 B 0 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 I B FL2-B-1-03- 1 FL2-B-1-03- 2 FL2-B-1-03- 3 FL2-B-1-03- 5 FL2-B-1-03- 6 FL2-B-1-0.3- 7 FL2-B-1-03- 8 FL2-B-1-03- 9 FL2-B-1-03-1 0 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-1-04-1 0 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 7 4

0 4 1 0 0 0 0 0 0 1 4 0 4 6 0 0 0 0 0 0 12 9 0 12 8 0 0 0 3 3 0 0 2 9 0 7 4 0 0 0 3 4 0 0 18 8 6 5 19 6 1 7 2 9 0 10 5 1 1 0 3 9 2 6 14 0 4 3 3 0 3 4 5 9 3 5 0 22 1 17 1 20 8 4 7 3 6 9 6 18 3 9 2 3 0 4 5 6 3 17 3 8 8 5 6 8 8 8 3 8 2 0 22 1 18 8 2 1 0 5 3 3 8 10 7 19 0 9 8 4 2 7 4 7 8 17 3 10 9 8 0 10 3 11 3 9 5 4 22 1 19 6 21 5 5 6 3 9 15 8 20 1 12 2 5 2 9 B 10 0 17 3 .12 8 9 0 11 5 13 3 11 5 9 22 1 22 1 22 1 16 4 7 6 19 5 22 1 17 3 10 8 13 0 15 1 17 3 17 1 14 B 15 7 15 2 14 6 3 8 22 1 22 1 22 1 16 5 16 3 20 2 22 1 19 4 14 1 15 0 15 8 17 3 17 3 17 0 16 9 15 9 17 3 6 8 22 1 22 1 22 1 19 4 19 2 21 8 22 1 21 1 18 3 16 4 16 8 17 3 17 3 17 3 17 3 16 B 17 3 11 4 22 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 21 7 17 3 17 3 17 3 17 3 17 3 17 3 17 3 17 3 15 8 0

0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 1 5
J4 6 

## 17 : 42 7 101 7 176 2 197 6 222 1 286 6 316 2 336 1 J2 7 1 9



# C-5 7

# P.1 3

F^E £ 1 —B— !

No
. DI F FIL E NAM E AVG=<-1 5 =<-1 0 =<- 5 =<- l < 0 =< 1 -=< 5 =<7. 5 =<1 0 =<1 5 >1 5

0 1 FE1-B-1-02- 1 22 1 0 4 0 17 1 22 1 22 1 22 1 22 1 22 1 22 1 22 1 0 0 2 FE1-B-1-02- 2 22 1 0 0 3 0 12 8 14 2 16 1 18 9 19 2 19 6 22 1 0 0 3 FE1-B-1-02- 3 22 1 0 0 8 0 13 1 13 7 15 3 21 5 22 1 22 1 22 1 0 0 4 FE1-B-1-02- 4 22 1 0 0 12 2 16 7 19 0 19 4 22 1 22 1 22 1 22 1 0 0 5 0 6 0 7 0 8 FE1-B-1-02- 5 FE1-B-1-02- 6 FE1-B-1-02- 7 FE1-B-1-02- B 22 1

22 1 22 1 22 1 176 8 3 0

0 0 0 3 0 12 8 0 0 0 16 8 20 5 1 7 0 1 6 64 1 22 1 4 3 3 5 3 6 100 2 22 1 5 2 3 9 4 0 104 2 22 1 7 1 5 5 4 2 111 8 22 1 16 5 10 8 7 8 14i e 22 1 18 4 13 5 16 0 155 5 22 1 16 8 16 1 18 7 161 6 22 1 20 8 19 4 19 4 170 1 0 1 3 2 7 2 7 6 7



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. DI F FIL E NAM E AVG=<-1 5 *=<-1 0 =<- 5 =<- l < 0 =t l =< 5 =<7. 5 = U 0 «<1 5 M 5

0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 FEl-W-1-01- 1 FEl-W-1-01- 2 FE1-W-1-01- 3 FE1-W-1-01- 4 FEl-W-1-01- 5 FEl-W-1-01- 6 FE1-W-1-01- 7 FEl-W-1-01- 8 21 3 21 3 21 3 21 3 21 3 21 3 21 3 21 3 0

0 0 8 0 0 0 0 2 0 0 8 4 1 0 0 0 4 5 6 2 0 16 4 10 1 10 5 0 0 9 3 12 3 4 16 9 16 0 15 3 3 2 5 10 0 13 6 1 7 17 1 16 1 15 3 1 3 4 5 U l 14 3 2 5 17 3 16 3 15 4 2 7 6 0 15 6 16 4 10 4 18 3 16 9 15 7 7 0 9 7 16 0 17 2 11 1 20 0 17 2 16 1 8 1 13 9 16 2 17 5 15 4 20 8 18 1 17 6 10 8 16 5 1B 7 20 0 19 2 21 3 21 3 21 1 15 7 19 0 2 6

1 3 2 1 0 0 2 5 6 2 3 

## 170 4 8 8 7 49 7 73 0 79 6 85 6 110 0 119 6 132 9 156 3 14 1



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. DI F FIL E NAM E AV G=<-1 5 *=<-1 0 =<- 5 =<- l < 0 =< 1 =< 5 =<7. 5 =<1 0 =<1 5 •1 5

0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 1 0 1 1 1 2 1 3 14 1 5 1 6 1 7 1 8 1 9 2 0 2 1 7T J *?" T 

### 2 4 i -1 

### 2 6 2 7 2 B RTP-B-1-01-2 2 RTP-B-1-01-2 3 RTP-B-1-01-2 4 RTP-B-1-01-2 5 RTP-B-1-01-2 6 RTP-B-1-01-2 7 RTP-B-1-02-1 1 RTP-B- 1-02- 1 2 RTP-B-1-02-1 3 RTP-B-1-02-1 4 RTP-B-1-02-1 5 RTP-B-1-02-1 6 RTP-B-1-03-2 2 RTP-B-1-03-2 3 RTP-B-1-03-2 4 RTP-B-1-03-2 5 RTP-B-1-03-2 6 RTP-B-1-03-2 7 RTP-B-1-04-1 2 RTP-B-1-04-1 3 RTP-B-1-04-1 4 RTP-B-1-04-1 5 RTP-B-1-04-1 6 RTP-8-2-05-rl l RTP-B-2-05-1 2 RTP-B-2-05-1 3 RTP-B-2-05-1 4 RTP-B-2-05-1 5 21 3 21 3 21 3 21 3 21 3 21 3 16 9 18 9 18 9 18 9 18 9 18 9 21 3 21 3 21 3 21 3 21 3 21 3 9 3 9. 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9. 3 0

0 2 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 5 7 3 4 0 0 0 0 1 2 1 0 0

-J 

### 0 0 1 3 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 11 5 0 12 6 0 0 3 9 7 9 3 4 2 7 0 6 7 3 5 0 10 1 0 0 4 9 2 5 0 0 0 0 1 6 0 14 0 1 8 20 5 21 1 6 6 20 0 2 9 1 12 2 16 6 4 4 11 6 20 3 10 2 21 3 15 3 3 6 20 9 T 

### 2 2 9 1 6 3 1 2 7 2 7 2 8 9 3 5 5 17 7 2 6 21 2 21 3 10 2 21 2 3 3 3 9 14 1 17 8 5 0 122 , 21 3 18 4 21 3 16 7 6 5 21 3 2 8 3 7 93

- 9 1 2 8 4 4
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### 3 6 9 3 8 9 20 5 3 4 21 3 21 3 13 0 21 3 5 4 7 2 15 3 18 2 7 1 13 2 21 3 19 6 21 3 19 3 13 3 21 3 7 1 6 7 9 3 9 3 6 4 6 9 8 0 6 2 9 3 9 3 21 3 6 9 21 3 21 3 19 7 21 3 18 1 16 9 18 9 16 9 16 9 18 9 21 3 21 3 21 3 21 3 21 3 21 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 21 3 9 6 21 3 21 3 21 3 21 3 16 9 18 9 18 9 18 9 18 4 18 9 21 3 21 3 21 3 21 3 21 3 21 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 21 3 14 0 21 3 21 3 21 3 21 3 18 9 18 9 18 9 18 9 18 9 18 9 21 3 21 3 21 3 21 3 21 3 21 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 21 3 21 3 21 3 21 3 21 3 21 3 16 9 18 9 18 9 18 9 18 9 18 9 21 3 21 3 21 3 21 3 21 3 21 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 9 3 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 

## 462 0 14 4 85 4 264 6 315 1 361 8 443 2 449 8 454 7 462 0



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# P.2 8

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No
. DI F FIL E NAM E AVG=<-1 5 =<-1 0 =<- 5 =<- l <0=< 1 =< 5 -=<7. 5 -=<1 0 =<1 5 >1 5

0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 FL2-B-1-03- 1 FL2-B-1-03- 2 FL2-B-1-03- 3 FL2-B-1-03- 5 FL2-B-1-03- 6 FL2-B-1-03- 7 FL2-B-1-03- B FL2-B-1-03- 9 FL2-B-1-03-1 0 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-1-04-1 0 21 3 21 3 21 3 21 3 21 3 21 3 21 3 21 3 21 3 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 6 4

0 3 5 0 0 0 0 0 0 7 0 4 5 0 0 0 0 0 0 13 3 0 12 5 0 0 0 1 4 0 0 2 9 0 6 5 0 0 0 3 3 0 0 16 6 6 7 18 8 2 0 2 3 0 10 6 0 0 3 4 2 7 13 4 3 6 2 4 2 8 5 7 1 9 0 21 3 18 5 20 4 5 0 3 1 8 8 18 1 8 8 2 2 3 9 4 9 16 5 8 9 5 5 8 1 7 8 9 0 0 21 3 19 4 20 9 5 5 3 3 10 0 18 5 10 6 2 9 6 7 6 5 16 5 10 6 7 8 9 4 10 6 10 2 0 21 3 19 5 21 3 6 0 3 5 16 0 18 7 11 3 3 8 8 8 8 0 16 5 12 8 8 5 11 3 11 9 10 5 0 21 3 21 3 21 3 16 9

' 7 6 19 2 21 3 17 1 11 7 12 0 14 3 16 5 16 5 14 0 15 4 14 3 15 4 2 8 21 3 21 3 21 3 17 9 16 6 19 8 21 3 19 0 15 1 15 1 15 4 16 5 16 5 16 0 16 5 15 6 16 5 6 1 21 3 21 3 21 3 18 6 18 9 21 3 21 3 21 1 17 5 16 5 16 5 16 5 16 5 16 5 16 5 16 S 16 5 10 2 21 3 21 3 21 3 21 3 21 3 21 3 21 3 21 3 21 2 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 15 3 0

0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 2 

## 340 2 15 1 39 9 94 9 170 8 190 7 209 7 278 9 308 0 324 8 338 9



# C-7 3

# P.2 9

F ^ E 1 —B

No
. DI F FIL E NAM E AVG=<-1 5 =<-1 0 =<- 5 =<- l < 0 =< 1 =< 5 =<7. 5 =<1 0 =<1 5 >1 5

0 1 FE1-B-1-02- 1 21 3 0 3 4 17 5 21 3 21 3 21 3 21 3 21 3 21 3 21 3 0 0 2 FE1-B-1-02- 2 21 3 0 0 2 9 12 1 13 9 16 3 18 6 19 0 19 3 21 3 0 0 3 FE1-B-1-02- 3 21 3 0 0 8 8 12 8 13 5 14 8 21 0 21 3 21 3 21 3 0 04 FE1-B-1-02- 4 21 3 0 0 12 6 18 0 16 6 19 2 21 3 21 3 21 3 21 3 0 0 5 FE1-B-1-02- 5 0 6 FE1-B-1-02- 6 0 7 FE1-B-1-02- 7 0 8 FE1-B-1-02- 8 170 4 6 18 3 63 6 95 8 100 2 108 5 138 8 151 8 157 6 165 4 21 3 21 3 21 3 21 3 6

0 0 0 14 9 0 0 0 20 0 1 3 0 5 21 3 3 9 3 1 3 3 21 3 4 5 3 4 3 7 21 3 7 1 4 0 4 5 21 3 16 6 11 2 7 5 21 3 17 7 13 8 16 1 21 3 18 5 16 5 18 1 21 3 20 3 19 3 19 3 0 1 0 20 2 0



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