-------
BORING A-12
ELEVATION: 235.0'
SYMBOLS
DESCRIPTIONS
CL
OP
DARK BROWN SILT* CUV TOPSOIL
GRAY-BROWN SILTY CLAY (DESSICATED)
(MEDIUM STIFF)
GRADES ORANGE-BROWN KITH OCCASIONAL
ROOTS (VERY STIFF)
GRADES GRAY-BROWN
ORANGE-BROWN SIITY VERY FINE SAND
TAN FINE TO MEDIUM SANDY CHERT GRAVEL
(VERY CLEANMMEDIUM DENSE TO LOOSE)
BORING TERMINATED AT 35.5 FT. ON 7/14/77
WATER LEVEL AT 27'-5" ON 8/2/77
BORING A-15
ELEVATION: 226.8'
mom TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BOW TYPE U SAMPLER (DISTURBED SAMPLE)
Q04M.TYPE U SAMPLE (NO RECOVERY)
HSPT SAMPLER
0SPT SAMPLER (NO RECOVERY)
1. THE 3.25" O.D. DAMES 1 MOORE TYPE U SAMPLE AND THE SPT SAMPI FB urof nnti/ru UITU
S! A °IS™*E ™* "«™- ™BOW W S
ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS
5-
T, I.E. DSM • SPT.
SYMBOLS
DESCRIPTIONS
"Bill
CL
CH,
GM
BROWN CLAYEY SILT TO SIITY CLAY TRACE OF
FINE SAND AND DECAYED VEGETATION
(STIFF)
GRADES TO MOTTLED BROWN AND GRAY
MOTTLED nROUN AND GRAY SILTY CLAY TRACE Ot
DARK BROWN DECAYED VEGETATION (MEDIUM STIFF)
DARK GRAY SILTV CLAY WITH ABUNDANT DECAYED
VEGETATION
(MEDIUM STIFF TO STIFF)(PLASTIC)
GRADES MEDIUM STIFF INCLUSIONS OF LIGHT
GRAY SILTY CLAY
GRADES SOFT TO MEDIUM STIFF
GRADING WITH SOME SMALL GRAVEL
LIGHT GRAY SILTY TINE SANDY CHERT GRAVEL
(MEOIUK OENSC)
GRADING YLLI OW-IIROUN
BORING TERMINATE" AT 40.5 H. ON 7/2V/7
WATER I.IVH. AT 7'-7" ON H/2//7
Figure 3.2-10. Log of borings.
3.2-12
-------
BORING A-16
ELEVATION: 227.4'
BORING A-18
ELEVATION: 233.9'
SYMBOLS
DESCRIPTIONS
SYMBOLS
OESCRIPTIONS
CL
BROUN CLAYEY SILT IOPSOIL WITH ABUNDANT SMALL ROOTS
GRAY-BROW SILTY CLAY WITH OCCASIONAL ROOTS,
TRACE OF SLACK DECAYED VEGETATION
(DESICATEOHHARO)
GRADES WITH MORE SILT
GRADES BROW TO LIGHT BROUN
•a
• >*
.»...*
GW
BROUN FINE SANDY CLAVET SILT
(MEDIUM DENSE TO MEDIUM STIFF)
LIGHT TAN FINE SAND INTERBEDDED UITN BROUN
SILT? CLAY (MEDIUM DENSE TO STIFF)
BROUN SILTY FINE SMID
(LOOSE TO MEDIUM DENSE)
TAN FINE SAND WITH TRACE OF SILT
(LOOSE TO MEDIUM DENSE)
VELLOU-BROUN FINE SANDY CHERT GRAVEL
(LOOSE TO MEDIUM DENSE)
BORING TERMINATED AT 30.5FT. ON 7/29/77
UATER LEVEL AT Z2'-6- ON 8/2/77
•'ft
MOTTLED BROW-GRAY MLTY CLAY TO CLAYtY
SILT TOPSOIL (MEDIUM SUIT)
MOTTLED GRAV-BROUN SILT* CIAY
(MEDIUM STIFF)
MOTTLED GRAY AND REDDISH BROUN SU1Y CLAt
(MEDIUM STIFF)
POCKETS OF REDDISH OROUN GRAVELLV SAND
BROUN flNL TO MEDIUM SANDY CHL'RT GRAVO.
(DFNSL TO VERY DENSE)
GRADES TAN TO BROUN
BOBING TFRMINATFII AI -H.O TT. ON 7/1W
UATIR LEVEL AT Jl'-'i' ON H/2/77
LEGEND:
•DIM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BOW TYPE U SAMPLER (DISTURBED SAMPLE)
ODIM TYPE U SAMPLE (NO RECOVERY)
BSPT SAMPLER
0SPI SAMPLER (NO RECOVERY)
SWIPLE AND THE SPT
*^
IT01 IS APPR011IMATEU "•Tlltts
Figure 3.2-11. Log of borings.
3.2-13
-------
BORING A-19
ELEVATION: =233.7'
BORING A-20
ELEVATION: 230.5'
SYMBOLS
DESCRIPTIONS
SYMBOLS
ML
CL
BROUN CLAYEY SILT TOPSOIL WITH ABUNDANT
SHALL ROOTS (LOOSE)
LIGHT BROUN SILTY CLAY TO CLAYEY SILT UITH
UNITE EVAPORITE DEPOSITS
OCCASIONAL ROOTS (DESICATEDl(HARD)
GRADES UITH OCCASIONAL GRAVEL
MOTTLED GRAY-BROUN SILTY CLAY TO CLAYEY
SILT UITH TRACE OF DECAYED VEGETATION
(STIFF)
GRADES MEDIUM STIFF TO STIFF UITH MORE
SILT
'CL
GRADES UITH RED-BROUN MOTTLING
(MEDIUM STIFF TO STIFF)
1ARK GRAY SILTY CLAY
(MEDIUM STIFF)
YELLOU BROUN FINE TO COARSE SANDY GRAVEL UITH
[RACE SILT (MEDIUM DENSE)
BORING TERMINATED AT 30.5 FT. ON 7/30/77.
UATER LEVEL AT ]8'-I" ON 8/2/77
I2B
"B
ML
CL
**l
DESCRIPTIONS
BROUN CLAYEY SILT TOPSOIL UITH TRACE OF
FINE SAND AND GRAVEL OCCASIONAL ROOTS
BROUN SILTY CLAY UITH UHITE EVAPORITE DEP-
OSITS OCCASIONAL ROOTS (OESICCATED)IHARD)
GRADES TO MOTTLED DARK BROUN AND GRAY
TRACE OF BUCK DECAYED VEGATATION(STIFF)
GRADES VERY STIFF
GRADES STIFF
BROUN FINE SANDY CLAYEY SILT (SOFT-MEDIUM STIFF)
MOTTLED BROUN AND GRAY SILTY CLAY UITH TRACF
VERY FINE SAND TRACE DECAYING VEGATATION
(MEDIUM STIFF)
BROUN VERY FINE SANDY CLAYEY SILT
(SOFT-MEDIUM STIFF)
BROUN SILTY FINE TO COARSE SANDY CHERT GRAVI'L
(MEDIUM DENSE)
GRADES LOOSE TO MEDIUM DENSE
BORING TERMINATED AT 30.b FT. ON 7/30/77
UATER LEVEL AT 2V-9" ON 6/2/77
• DM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BDUI TYPE U SAMPLER (DISTURBED SAMPLE)
DD4M TYPE U SAMPLE (NO RECOVERY)
aSPT SAMPLER
HSPT SAMPLER (NO RECOVERY)
NOTE:
1.
V™-U^K
«. KK^^^
Figure 3.2-12. Log of borings.
' 3.2-14
-------
BORING A-21
ELEVATION: 229.8'
BORING A-22
ELEVATION: 230.2'
SYMBOLS
DESCRIPTION
U 13
CL
CL
DARK BROW SILTY ClAV TOPSOIL
WUNDANT SHALL ROOTS (VERY STIFF)
BROUN SILTY CLAV (VERY STIFF)
GRADES TO MOTTLED GRAY-DROWN WITH
TRACE BLACK DECAYED VEGETATION
GRADES TO LIGHT GRAV AND BROWN
(VERY STIFF)
GRADES SILTIER (MEDIUM STIFF)
GRAV SILTV CLAV WITH TRACE BLACK DECAYED
VEGETATION (MEDIUM STIFF)
GRAV FINE SAND (MEDIUM STIFF)
YELLOW-BROWN FINE TO COARSE SANDY CHERT
GRAVEL (MEDIUM DENSE)
BORING TERMINATED AT 35.5 FT. ON 7/29/77
WATER LEVEL AT 22'-6" ON 8/2/77
•DIM TVPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BDW TVPE U SAMPLER (DISTURBED SAMPLE)
QDIM TVPE U SAMPLE (NO RECOVERY)
HSPT SAMPLER
BSPT SAMPLER (NO RECOVERY)
NOTE:
1. THE 3.25* O.D. DAMES 1 MOORE TYPE U SAMPLE AND THE SPT SAMPLER HERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
2. BLOWCOUNT UITH DAMES > MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST, I.E. DIM • SPT.
SYMBOLS
DESCRIPTIONS
•a
>a
CL
SM
GW
MOTTLED GRAY-BROWN CLAYEY SILT TOPSOIL
GRAY-BROWN SILTV CLAV (STIFF)
GRADES LIGHT BROWN
GRADES TO MOTTLED RED-BROWN
GRADES MEDIUM STIFF
MOTTLED ORANGE-BROWN SILTV CLAV TO CLAVCVSILT
ORANGE-HROVN SILTY FINE SAND (MEDIUM BFNSI )
BROWNISH ORANGE AND SII.TY MEDIUM TO IINl
CHERT GRAVEL (MEDIUM DCNSl )
BORING TERMINATED AT «0.5 IT. ON UVtlU
WATER Ltvn. AT 24'-?" ON ll/?/77
Figure 3.2-13. Log of borings.
3.2-15
-------
BORING A-23
ELEVATION: 235.0'
SYMBOLS
DESCRIPTIONS
teB
ML
* *
GW
TAN SANDY CHERT GRAVEL (LOOSE)
THIN MEDIUM TO COARSE SAND LENS (MEDIUM DENSE)'
BORING TERMINATED AT 39.0 FT. ON 7/19/77
WATER LEVEL AT 26'-6" ON 8/2/77
BORING A-24
ELEVATION: 235.3'
JROUH CLAYEY SILT TOPSOIL WITH TRACE OF FINE
TO MEDIUM GRAVEL
MOTTLED GRAY-BROWN AND REDDISH BROUN SILTY
CLAY (MEDIUM STIFF TO STIFF)
GRADES WITH TRACE FINE TO MEDIUM GRAVEL
GRADES GRAY-BROWN «!TH OCCASIONAL TRACES ,0
DARK BROWN ORGANICS (MEDIUM STIFF)
GRADES TO MOTTLED GRAY AND REDDISH BROUN
OCCASIONAL GRAVEL
I-
UJ
£ 20
•DIM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BOW TYPE U SAMPLER (DISTURBED SAMPLE)
ODSM TYPE U SAMPLE (NO RECOVERY)
flSPT SAMPLER
0SPT SAMPLER (NO RECOVERY)
NOTE:
1. THE 3.25" O.D. DAMES I MOORE TYPE U SAMPLE AND THE SPT SAMPLER WERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
2. BLOUCOUNT UITH DAMES t MOORE SAMPLER IS APPROXIMATELY TUO TIMES THE STANDARD
PENETRATION TEST. I.E. DSM • SPT.
SYMBOLS
DESCRIPTIONS
'•
?
CL
GW
BROUN-CJIAY SILT* CLAY 10 CLAVE* SILT TOPSOIL
(VERY STIFF)
GRAY-BROUN SIITV CLAV WITH TRACE OF MEDIUM
SAND (STIFF)
GRADES TO MOTTLED GRAY-BROUN AND ORANGE
GRADES WITH INCREASED SILT
GRADES TO LIGHT BROWN SILTY CLAY
GRADES WITH A TRACE OF VERY FINE SAND
ORANGE BROWN HEOIUH TO COARSE SANDY CHERT GRA-
VEL TRACE OF SILT (DENSE)
GRADES HEOIUH DENSE
GRADES MEDIUM DENSE TO LOOSE
BORING UKM1NATIO AT 40.5 FI. ON 7/1P/7/
Figure 3.2-14. Log of borings.
.3.2-16
-------
BORING A-25
ELEVATION: 234.2'
BORING A-26
ELEVATION: 233.8'
10 - »•
SYMBOLS
DESCRIPTIONS
CL
(IB
CL
lid
sc
low
MOTTLED GRAY-WHITE AND RED-BROW SILTY CLAY
(VERY STIFF)
MOTTLED GRAY-BROWN CLAYEY SILT
MOTTLED GRAY AND RED-BROWN SILTY CLAY
(HEDIUM STIFF)
GRADES MOTTLED RED-BROWN
TAN CLAYEY SAND
(LOOSE)
ORANGE-BROWN HEDIUM TO COARSE SANDY CHERT
GRAVEL TRACE OF SILT (MEDIUM DENSE TO DENSE)
BORING TERMINATED AT 40.5 FT. OH 7/19/77
HATER LEVEL AT 26'-0" ON 8/2/77
•DIM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BOW TYPE U SAMPLER (DISTURBED SAMPLE)
QDIM TYPE U SAMPLE (NO RECOVERY)
aSPT SAMPLER
BSPT SAMPLER (NO RECOVERY)
NOTE:
1. THE 3.25* O.D. DAMES > MOORE TYPE U SAMPLE AND THE SPT SAMPLER HERE DRIVEN KITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
2. 8LWCOUNT KITH DAMES 1 MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST. I.E. DIM • SPT.
SYMBOLS
DESCRIPTIONS
"Q
•a
ML
CL
cw
LIGHT GRAY CLAYEY SILT TOPSOIL
GRAY-3ROWN SILTY CLAY WITH TRACE FINE SAND
(VERY STIFF)
GRADES TO MOTTLED GRAY-BROWN AND RED-
BROWN (VLRY STIFF)
GRADES WITH LESS SILT
(MEDIUM STIFF)
GRADES LIGHT BROWN
BROWN VERY FINE SANDY SILTY CLAY TO CIAYEY SILT
(SOFT)
ORANGE-BROWN MEDIUM TO COARSE SANDY CIIFRT GRAVEL
TRACE OF SILT (DENSE)
GRADES MEDIUM DENSE TD DENSE
BORING TERMINATED AT 40.0 FT. ON ll\'tlll
WATER LEVEL AT ?b'-7" ON B/2/77
Figure 3.2-15. Log of borings.
3.2-17
-------
BORING A-28
ELEVATION: 222.2'
BORING A-29
ELEVATION: 229.6'
SYMBOLS
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
is a
20B
ML
SP
GW
DARK BROUN CLAYEY SILT TOP SOIL
DARK BROWN SILTY CLAY
(MEDIUM STIFF)
GRADES WITH TRACE OF VERY FINE SAND
(MEDIUM STIFF TO SOFT)
LIGHT BROWN MEDIUM TO FINE SAND WITH TRACE
OF GRAVEL
BROWN FINE TO MEDIUM SANDY CHERT GRAVEL
TRACE SILT (MEDIUM DENSE)
BORING TERMINATED AT 30.0 FT. ON 7/13/77
WATER LEVEL AT 18'-5" ON 8/2/77
GRAY-BROWN SII.TY CLAY TOPSOIL WITH TRACE
CL GRAVEL (STIFF)
MOTTLED BROWN-GRAY SILTY CLAY TO CLAYCY
SILT (STIFF)
CL
GW
GRAY-BROWN SILTY CLAY
(MEDIUM STIFF)
GRADES UITH TRACE VERY FINE SAND
ORANGE-BROWN CLAYEY SILTY VERY FINE SANK
(MEDIUM DENSE TO SOFT)
ORANGE-BROWN FINE TO MEDIUM SANOY CHERT
GRAVEL (VERY DENSE)
GRADES DENSE TO MEDIUM DENSE
BORING TERMINATED AT 34.0 FT. ON
WATER LEVEL AT 23'-1" ON 8/5/77
•DIM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BOSH TYPE U SAMPLER (DISTURBED SAMPLE)
DOJM TYPE U SAMPLE (NO RECOVERY)
USPT SAMPLER
0SPT SAMPLER (NO RECOVERY)
NOTE:
1.
THE 3.25" O.D. DAMES 1 MOORE TYPE U SAMPLE AND THE SPT SAMPLER WERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
BLOWCOUNT WITH DAMES I MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST, I.E. D»M • SPT.
Figure 3.2-16. Log of borings.
, .3.2-18
-------
BORING A-31
ELEVATION: 229.3'
BORING A-32
ELEVATION: 255.9'
SYMBOLS
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
0
5
10
t- '5
ul
tf .
2
iao
a.
25
50
35
JllfflU
429111 |l|||jl|L
-It
— iz9|lj|ll |ll|l
-
"B
>a
2 •
ow
DARK BROUN CLAYIY SILT TOPSOIL
LIGHT GRAY CLAYIY Sll T
r.RADIS TO MOTTLEO GRAY-BROWN
GRAYISH OROUN SILTY CLAY
(VERY STIIF)
GRADES LESS SILTY
(STIFF)
GRADES MEDIUM DROWN UITH TRACE OF VERY
FINE SAND AND GRAVI.L (STIFF)
YELLOU-BROUN SILTY TO CLAYIY FINL' SANII
(LOOSE)
BROUN FIM TO COARSl SANDY f.W.RT GRAVll
UITH TRACE OF SILT
(LOUSE)
GRADING MEDIUM nKSt.
UAIIR LIVFI AT '/!'-'<" (IN «/>///
,
LEGEND:
• DM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BOtM TYPE U SAMPLER (DISTURBED SAMPLE)
QOW TYPE U SAMPLE (NO RECOVERY)
aSPT SAMPLER
0SPT SAMPLER (NO RECOVERY)
JIL:
1. THE 3.25" O.D. DAMES i MOORE TYPE U SAMPLE AND THE SPT SAMPLER HERE DRIVEN UITH
A 1<0 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
2. 8LOUCOUNT UITH DAMES 1 MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST. I.E. DIM • SPT. >i«™»"u
Figure 3.2-17. Log of borings.
3.2-19
-------
BORING A-33
ELEVATION: 253.4'
BORING A-34
ELEVATION: 232.7'
SYMBOLS
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
ML
CL
BROWN TO GRAY CLAYEY SILT TOPSOIL
(VERY STIFF)
MOTTLED GRAY-BROWN AND REDDISH BROUN
SILTY CLAY
(KEOIUK STIFF)
GRADES LESS SILTY
GRADES TO MOTTLED LIGHT GRAY AND
RED-BROWN
GRADES RED-BROWN WITH DARK BROWN
ORGANIC MATERIAL
GRADES WITH COBBLES AND SMALL BOULDERS
GRADES WITH OCCASIONAL FINE GRAVEL
TAN TO GRAY SILTY TO CLAYEY FINE SAND
(MEDIUM DENSE)
BROWN FINE TO MEDIUM SANDY CHERT GRAVEL
TRACE OF SILT
(KEDIUM DENSE TO DENSE)
GRADES WITH INCREASED SAND
BORING TERMINATED AT 40.5 FT. ON 7/20/77
WATER LEVEL AT 25'-5" ON 8/2/77
GW
•OKI TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BDSM TYPE U SAMPLER (DISTURBED SAMPLE)
DD1M TYPE U SAMPLE (NO RECOVERY)
USPT SAMPLER
BSPT SAMPLER (NO RECOVERY)
NOTE:
1.
THE 3.25" 0.0. DAMES 1 MOORE TYPE U SAMPLE AND THE SPT SAMPLER WERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
2. BLOWCOUNT WITH DAMES i MOORE SAMPLER IS APPROXIMATELY TWO TIKES THE STANDARD
PENETRATION TEST, I.E. DSM • SPT.
BROUN CLAYEY SILT TOPSOIL WITH ABUNDANT
ROOTS AND DFCAYED VEGETATION
DARK GRAY SILTY CLAY WITH TRACE OF ROOTS
AND DECAYED VU.tTATlON
ROOTS GRADING OUT
GRADES TO BOTTLED GRAY AND RED-BROWN
(VERY STIFF)
GRADES YELLOW-BROWN WITH INCREASED SILT
WITH TRACE OF BLACK DECAYED VEGETATION
(STIFF)
LIGHT TAN FINE TO KEDIUM SAND
(LOOSE)
YELLOW-BROWN FINE TO MEDIUM SANDY CHERT
,VEL
(KEDIUM DENSE TO DENSE)
BORING TERMINATED AT 30.5 FT. ON 7/31/77
WATER LEVEL AT 2V-5" ON 8/5/77
Figure 3.2-18. Log of borings.
', . .3.2-20
-------
BORING A-35
ELEVATION: 235.3'
BORING A-36
ELEVATION. 230.7'
SYMBOLS
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
I4B
CL
CL
DARK 8ROWN CLAYEY SILT TOPSOIl
(STIFF)
GRAY-BROWN SILTV SAND TO SILTY SANDY GRAVEL
(MEDIUM DENSE)
GRAY SILTV CLAYEY VERT FINE SAND
(SOFT)
GRAYISH BROUN SILTV CLAY TO CLAYEY SILT
(STIFF)
LIGHT BROWN SILTY CLAY
(MEDIUM STIFF)
ORANGE-BROWN TO GRAY ClAYEY VERY FINE SAND
TO SILTY CLAY
(SOFT TO MEDIUM STIFF)
DARK GRAY VERY FINE CLAYEY SILT TO
SILTY CLAY
(SOFT)
DARK GRAY VERY FINE SANDY SILTY CLAY WITH
TRACE OF SMALL GRAVEL
(MEDIUM STIFF)
GRAY-BROWN FINE TO COARSE SANDY CHERT GRAVEL
TRACE OF SILT
(HED1UM DENSE)
BORING TERMINATED AT 40.5 FT. ON 7/15/77
WATER LEVEL AT 24'-6" ON 8/2/77
0
5
10
1- 13
UJ
bj
U.
Z
X 20
H
o.
Id
O
25
10
33
4O
•alDIIIIIIIL HL.
'•a
nB
ma
•a
»a
I»H
M
•
P
F
P
'P^
4%:
'//,?.,
%i
• fiS
'.'Si
-l|
.i)'!1®
*,T{
:?*
M
uBM^w
|^>^y,.
CL
ew
GRAY-BROWN CLAYEY SILT TOPSOIL WITH TRACE
OF SAND
GRAY-BROWN SILTY CLAY
(STIFF)
GRADES LIGHT GRAY WITH LESS SILT
GRADES RED-BROWN WITH TRACE OF VERY
FINE SAND
ORANGE -BROWN FINE TO MEDIUM SANDY
GRAVEL (DENSE)
GRADES MEDIUM DENSE
GRADES WITH INCREASED SAND
BORING TERMINATED AT 35.5 Fl. ON
WATER LEVEL AT ?4'-b" ON U/Z/77
CHERT
7/14/77
• DM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
• DIM TYPE U SAMPLER (DISTURBED SAMPLE)
DUSK TYPE U SAMPLE (NO RECOVERY)
BSPT SAMPLER
BSPT SAMPLER (NO RECOVERY)
NOTE:
I.
THE 3.25* 0.0. DAMES I MOORE TYPE U SAMPLE AND THE SPT SAMPLER WERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
BLOWCOUNT WITH DAMES > MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST, I.E. DSH • SPT.
Figure 3.2-19. Log of borings.
3.2-21
-------
BORING A-37
ELEVATION: 227.9'
BORING A-38
ELEVATION: 234.1'
SYMBOLS
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
ML
taa :••
••a
CL
GW
MOTTLED GRAY-BROUN CLAYEY SILT TOPSOIL
(MEDIUM STIFF TO STIFF)
GRAY-BROUN SILTY CLAY UITH TRACE OF DARK
BROUN ORGANIC MATTER
(MEDIUM STIFF)
GRADES STIFF TO VERY STIFF
GRADES UITH LESS SILT
(STIFF)
GRADES GRAY WITH LENSES OF RED-BR
VERY FINE SILTY SAND
(SOFT TO MEDIUM STIFF)
GRAY FINE TO MEDIUM SANDY CHERT GRAVEL
(MEDIUM DENSE TO LOOSE)
GRADES TAN (MEDIUM DENSE)
BORING TERMINATED AT 40.5 FT. ON 7/8/77
UATER LEVEL AT 17'-11" ON 8/2/77
It
i;8J
•?.;.•;•'•
CL
MOTTLED GRAY-UHITE AND REDDISH BROUN SILTY
CLAY TO CLAYEY SILT
(HED1UM STIFF)
GRAY-BROUN SILTY CLAY UITH TRACE OF ORGANICS
(STIFF)
GRADES TO MOTTLED GRAY-BROWN AND RED-
BROHN (MEDIUM STIFF)
GRADES TO LESS SILTY AND LIGHT BROUN
GRADES MOTTLED GRAY AND RED-BROW
GRADES TO ORANGE-BROUN
TAN FINE SAND
(MEDIUM DENSE)
BROUN FINE TO MEDIUM SANDY CHERT GRAVEL
TRACE OF SILT
(MEDIUM DENSE TO DENSE)
GRADES LOOSE TO MEDIUM DENSE
GRADES MEDIUM DENSE
BORING TFRMINAUI) AT 40.b FT. ON 7/1B/77
UATER LCVI.L AT ?&'-«" ON B/J/77
LEGEND:
•DiM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
HOiM TYPE U SAMPLER (DISTURBED SAMPLE)
DOW TYPE U SAMPLE (NO RECOVERY)
3SPT SAMPLER
BSPT SAMPLER (NO RECOVERY)
NOTE:
1.
THE 3.25" 0.0. DAMES 1 MOORE TYPE U SAMPLE AND THE SPT SAMPLED HERE DRIVEN UITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE SLOUS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
BLOUCOUNT UITH DAMES 1 MOORE SAMPLER IS APPROXIMATELY TWO TINES THE STANDARD
PENETRATION TEST. I.E. DJM • SPT.
~T
Figure 3.2-20. Log of borings.
3.2-22
-------
BORING A-39
ELEVATION: 230.1'
BORING A-40
ELEVATION: =235.2'
SYMBOLS
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
CL
MEDIUM GRAY SILTV CLAY UIIH TRACE OF SAND
(MEDIUM STIFF)
GRADES GRAY-GREEN WITH INCREASED SILT
GRADES TO MOTTLED GRAY AND RED-BROWN
(MEDIUM STIFF TO STIFF)
GRADES LESS SILTY
GRADES TO ORANGE-RED
MOTTLED GRAY TO REDDISH BROWN SILTY CLAY
(SOFTKMEOIUH PLASTIC)
1RAY SILTY CLAYEY CHERT GRAVEL
(MEDIUM DENSE)
BORING TERMINATED AT 30.5 FT. ON 8/3/77
WATER LEVEL AT 23'-2" ON fl/5/77
CL
>7g
GW
GRAY-BROW SILTV CLAY
GRAY-BROWN SILTY CLAY
(MEDIUM STIFF)
ORANGE-BROWN CLAYEY FINE SAND
(MEDIUM STIFF)
ORANGE-BROWN FINE SANDY CLAY
(MEDIUM STIFF)
BROWN FINE TO MEDIUM COARSE SANDY CHERT
GRAVEL
(MEDIUM DENSE)
BOHING TERMINATED Al 3'l.0 FT. ON l/»lll
LEGEND:
•OW TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
BDtH TYPE U SAMPLER (DISTURBED SAMPLE)
QDIM TYPE U SAMPLE (NO RECOVERY)
BSPT SAMPLER
BSPT SAMPLER (NO RECOVERY)
NOTE:
1.
THE 3.25" 0.0. DAMES S MOORE TYPE U SAMPLE AND THE SPT SAMPLER WERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
BLOWCOUNT WITH DAMES I MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST. I.E. DM • SPT.
Figure 3.2-21. Log of borings.
3.2-23
-------
BORING A-41
ELEVATION: 235.2'
BORING A-42
ELEVATION: 233.4'
SYMBOLS
TCI
CL
6W
DESCRIPTIONS
SYMBOLS
DESCRIPTIONS
GRAY-BROWN SILTY CLAY WITH TRACE OF BLACK
ORGANIC MATERIAL
GRADES WITH INCREASING SILT AND TRACE
OF VERV FINE SAND
GRADES TO GREENISH GRAY WITH LESS SILT
GRADES WITH TRACE OF SILT AND
OCCASIONAL RED-BROWN MOTTLING
BROWN MEDIUM TO COARSE SANDY CHERT GRAVEL
WITH TRACE OF SILT
(MEDIUM DENSE)
BORING TERMINATED AT 30.0 FT. ON 8/3/77
LEGEND:
•DIM TYPE U SAMPLER (RELATIVELY UNDISTURBED SAMPLE)
HDiM TYPE U SAMPLER (DISTURBED SAMPLE)
QOJM TYPE U SAMPLE (NO RECOVERY)
BSPT SAMPLER
0SPT SAMPLER (NO RECOVERY)
NOTE:
1. THE 3.25" O.D. DAMES S MOORE TYPE U SAMPLE AND THE SPT SAMPLER HERE DRIVEN WITH
A 140 POUND HAMMER DROPPING FREELY A DISTANCE OF 30 INCHES. THE BLOWS REQUIRED
TO DRIVE THE SAMPLERS ONE FOOT ARE RECORDED TO THE LEFT OF THE SAMPLE SYMBOLS.
2. BLOWCOUNT WITH DANES 1 MOORE SAMPLER IS APPROXIMATELY TWO TIMES THE STANDARD
PENETRATION TEST. I.E. DIM • SPT.
CL
CL
CL
nROUN SILTV CLAY TOPSOIL WITH OCCASIONAL
GRAVEL AND HOOTS
GRAV-DROWN SILTY CLAY WITH TRACE OF FIN!
SAND ABUNDANT SMALL ROOTS AND SOMC
OtCAVED VI.GETATION (VERY STIFF)
SAND, GRAVEL AND ROOTS GRADING Oil I
GRADES Htm TRACE OF BLACK OECAVtO
VEGETATION
GRADES TO MOTTLED GRAY-BROWN WITH LISS
SILT (VERY STIFF)
GRAY-BROWN SILTY CLAYEY VERY FINE SAND TO
SILTY CLAY
MOTTLED YELLOW-BROWN AND GRAY SILTY CLA'
Ultll BLACK DECAYED VEGETATION
(STIFF TO VERY STIFF)
GRADES STIFF TO MEDIUM STIFF
GRADES TO DARK GREEN-BROWN SILTV CLAV
WITH THIN (I/? In.) SAND SEAM
(VERY STIFF)
YELLOW-BROWN FINE TO COARSt SANDY CHER!
GKAVEL (LOOK TO MEDIUM DENSE)
BORING TERMINATED AT .10.b 11. ON 7/30/7/
WATFR LEVEL AT 23'-'/" ON 8/2/77
Figure 3.2-22. Log of borings.
3.2-24
-------
MAJOR DIVISIONS £
COARSE
GRAINED
SOILS
•OM THAN 10 %
or KATIIIIAL is
LAMtH THAN NO.
too iievt iizi
FINE
GRAINED
SOILS
WMIC THAN «0 %
Or HATCIIIAL II
iMALLtH THAN NO
too siKvr SIZE
GRAVEL
AND
GRAVELLY
SOILS
•OM THAN K> %
or COAUSI rN AC-
TION atTAINKD
ON NO. 4 IIWI
SANO
AND
SANDY
SOILS
Mont THAN B0%
TION >Ai«IM«
NO 4 IKVI
SILTS
AND
CLAYS
SILTS
AND
CLAYS
.
CLEAN GRAVELS «
ILITTH 01 NO *•
iljtl
V
'
GRAVELS WITH FINES !
lAmUCIAIlf AMOUNT *
or rimu 4Z
\
CLEAN SAND
riNls
SANDS WITH FINES ]'
or rmisi £/5
\
'RAPH
YMBOL
1 • •
i « .*;«
**fm\
II
i
::f|
•
1
1,00,0 ^«"M lljpp''
1
1
Hg
LIOUID L,«,T mjK
HIGHLY ORGANIC SOILS |-£
•
H
WM
='*-T-'?!
\LETTER
SYMBOL
GW
GP
GM
GC
SW
SP
SM
SC
ML
\ CL
r
MH
CH
OH
PT
TYPICAL DESCRIPTIONS
HO fiNIS
SANO Mil TUMI S, LI T Til OH
SILTV QRAVlLS. OUAVIi. - SAND-
SILT wnTuKCt
CLATIV OUAVILI. OHAVtL-IANO-
WELL • 0*ADtD SANDS. OUAVlLLV
SANDS, DTTLC 0« HO flNCS
INOHQANIC SILTS AND VIMY FINt
SANDS, MOCM rLOUff. SlLTV 01
SILTS WTH RI«HT PLASTICITY
INOMAHIC CLAYS Of LO* TO MIDIIM
VLASTICtTV, ONAVILLV CLAYS.
CLAYS
OMOANIC tlLTI AND ORGANIC
INOMANIC lltTS, MIC AC COUS ON
OlATOMACIOUS FINC SAND OB
IILTV 10' LS
IMOAQANlt CLAYS Of Mtfttl
OHO A NIC CLAYS or MDIUM TO W«H
'LASTtCTV, OKOANlC WLlt
NOTC: DUAL SYMBOLS ARC USCD TO INDICATL UOHULKLINC >oii. CLASSITICATIONS.
SOIL CLASSIFICATION CHART
Figure 3.2-23. Unified soil classification system.
3.2-25
-------
3.3 REFERENCES
Albin, D. R., Hines, M. S., and Stephens, J. W., 1967, Water resources
of Jackson and Independence Counties, Arkansas. U. S. Geological
Survey, Water Supply Paper 1839-G.
Arkansas Geological Commission, 1976, Geologic map of Arkansas. Arkansas
Geological Commission.
Caplan, W. M., 1954, Subsurface geological and related oil and gas pos-
sibilities of northeastern Arkansas. Arkansas Resources and
Development Commission Division, Geology Bulletin 20.
Croneis, Carey, 1930, Geology of the Arkansas Paleozoic area, with a
special reference to oil and gas possibilities. Arkansas Geological
Survey, Bulletin 3.
Nuttli, Otto W., 1973, The Mississippi Valley earthquakes of 1811 and
1812, intensities, ground motion and magnitudes. Seismological
Society of American Bulletin, vol. 63, no. 1, p. 227-248.
Stearns, R. G., and Wilson, C. W., 1972, Relationship of earthquakes and
geology in West Tennessee and adjacent areas. Tennessee Valley
Authority.
U. S. Department of Agriculture, 1977, Soil survey of Independence
County, Arkansas. U. S. Department of Agriculture Soil Conser-
vation Service, unpublished.
3.3-1
-------
PART 4
AIR QUALITY/METEOROLOGY
-------
TECHNICAL SUPPORT DOCUMENT
PART 4
METEOROLOGY/AIR QUALITY
-------
CONTENTS
Page
4.1 REGIONAL CLIMATOLOGY 4.1-1
4.1.1 Surface Winds 4.1-1
4.1.2 Temperature 4.1-1
4.1.3 Relative Humidity 4.1-2
4.1.4 Precipitation 4.1-2
4.1.5 Fog 4.1-3
4.1.6 Thunderstorms 4.1-4
4.1.7 Tornadoes 4.1-4
4.1.8 Windstorms 4.1-4
4.1.9 Tropical Cyclones 4.1-4
4.1.10 Atmospheric Stability 4.1-5
4.1.11 Air Pollution Potential 4.1-5
4.1.12 Average Wind Speed in the Mixing Layer 4.1-7
4.1.13 Average Wind Speed and Direction at Stack Height . . 4.1-8
4.1.14 Temperature Inversion Frequency 4.1-8
4.2 EMISSION CONTROL TECHNOLOGY 4.2-1
4.2.1 Sulfure Dioxide Control 4.2-1
4.2.2 Nitrogen Oxides Control 4.2-3
4.2.3 Particulates Control 4.2-3
4.2.3.1 Combustion 4.2-3
4.2.3.2 Coal and Ash Handling 4.2-4
4.2.4 Other Facility Emissions 4.2-5
4.3 DIFFUSION MODELS 4.3-1
4.3.1 Introduction 4.3-1
4.3.2 Model for Annual Concentrations 4.3-3
4.3.2.1 Calculation Concepts 4.3-3
4.3.2.2 Mixing Height 4.3-5
4.3.2.3 Plume Rise 4.3-6
4.3.2.4 Meteorological Input 4.3-8
4.3.3 Models for 24-Hour and 3-Hour Concentrations 4.3-9
4.3.3.1 Meteorological Input 4.3-10
4.3.3.2 Plume Rise 4.3-12
4.3.3.3 Wind Speed 4.3-13
4.3.3.4 Terrain 4.3-13
4.3.3.5 Receptor Orientation 4.3-13
4.3.3.6 Emission Data 4.3-14
4.3.3.7 Program Output 4.3-14
4.3.3.8 Interpretative Remarks 4.3-14
4.3.3.9 Validation Studies 4.3-16
-------
CONTENTS (Continued)
4.3.4 Models To Evaluate Compliance With Arkansas
30-Minute Standards 4.3-17
4.3.4.1 Introduction 4.3-17
4.3.4.2 TVA Modeling Approach 4.3-18
4.3.4.3 NOAA Modeling Approach 4.3-31
4.3.4.4 Rawinsonde Data Reduction and Utilization. . 4.3-33
4.4 MODELING RESULTS 4.4-1
4.4.1 Annual Average Concentrations 4.4-1
4.4.2 24-Hour Concentrations 4.4-2
4.4.3 3-Hour Concentrations - CRESTER Model 4.4-3
4.4.4 30-Minute and 3-Hour Concentrations -
TVA, NOAA Models 4.4-4
4.4.4.1 Emission Source/Modeling Concept
Combinations 4.4-4
4.4.4.2 30-Minute Concentration Modeling Results . . 4.4-7
4.4.4.3 3-Hour Concentration Modeling Results. . . . 4.4-8
4.5 ATMOSPHERIC EFFECTS OF COOLING TOWERS 4.5-1
4.5.1 Introduction 4.5-1
4.5.2 Drift Deposition. . 4.5-1
4.5.3 Visible Plumes 4.5-3
4.5.4 Ground Level Fogging/Icing 4.5-5
4.5.5 Modification of Precipitation/Cloud Formation .... 4.5-6
4.5.6 Stack and Cooling Tower Plume Interaction 4.5-7
4.6 SULFATES ANALYSIS , 4.6-1
4.6.1 General Analysis 4.6-1
4.6.1.1 Introduction 4.6-1
4.6.1.2 Sulfate Formation 4.6-2
4.6.1.3 Concentrations and Transport of S0?
and Sulfates 4.6-5
4.6.1.4 Visibility Effects of Sulfates 4.6-7
4.6.1.5 Effects of Flue Gas Desulfurization
(Scrubber) Systems on Sulfates 4.6-7
-------
CONTENTS (Continued)
4.6.2 Measured Sulfate Concentrations In Arkansas 4.6-8
4.6.2.1 Introduction 4.6-8
4.6.2.2 Data Source 4.6-9
4.6.2.3 Seasonal Distribution 4.6-9
4.6.2.4 Geographic Distribution 4.6-10
4.6.2.5 Emission Rates and Emission Densities. . . . 4.6-11
4.6.2.6 Arkansas Point Source Emissions 4.6-11
4.6.2.7 Meteorological Factors 4.6-12
4.6.2.8 Summary 4.6-14
4.7 TRACE ELEMENT RELEASES 4.7-1
4.8 REFERENCES 4.8-1
-------
TABLES
Page
4.1-1 Values of Mean and Average Daily Maximum and Minimum
Temperatures (°F) at Little Rock (1941-1970) 4.1-10
4.1-2 Monthly and Annual Precipitation Little Rock and
Batesville, Arkansas (Inches) 4.1-11
4.1-3 Class A Wind Frequency Distribution 4.1-12
4.1-4 Class B Wind Frequency Distribution 4.1-13
4.1-5 Class C Wind Frequency Distribution 4.1-14
4.1-6 Class D Wind Frequency Distribution 4.1-15
4.1-7 Class E Wind Frequency Distribution 4.1-16
4.1-8 Class F Wind Frequency Distribution 4.1-17
4.1-9 Class G Wind Frequency Distribution 4.1-18
4.1-10 Wind Frequency Distribution for All Stabilities 4.1-19
4.1-11 Frequency of Occurrence of Average Winds Speeds Through
the Mixing Layer for Non-Precipitation Cases When the
Mixing Height is 500 m or Greater 4.1-20
4.1-12 Annual Joint Distribution (Percent Occurrence) of Wind
Speed and Direction at 300-Meter Level (Based on Little
Rock Rawinsonde Observations, 1960-1964) 4.1-21
4.1-13 Seasonal and Diurnal Distribution of Inversion Frequency
(Based on Little Rock Rawinsonde Observations,
1960-1964) 4.1-22
4.1-14 Seasonal and Diurnal Frequency Distribution of Inversions
Based Below 250 Meters and at Least 500 Meters Thick
(Based on Little Rock Rawinsonde Observations,
1960-1964) 4.1-23
4.2-1 Nitrogen Oxides Emissions vs. Boiler Operating Level. . . 4.2-7
4.3-1 Nomenclature for Terms Used in TVA and NOAA Equations . . 4.3-36
4.3-2 TVA Model Equations 4.3-38
4.3-3 Mean Monthly Load Factors; Sunrise and Sunset 4.3-41
-------
TABLES (Continued)
Page
4.3-4 Stack Exit Characteristics for Ten Percent Operating
Level Increments 4.3-42
4.3-5 Stability Categorizations 4.3-43
4.3-6 NOAA Model Equations 4.3-44
4.3-7 Examples of Actual Upper Air Data 4.3-47
4.4-1 Maximum Predicted Annual Average Concentrations 4.4-9
4.4-2 Maximum Predicted 24-Hour Concentrations 4.4-10
4.4-3 Maximum Predicted 3-Hour Concentrations Based on
CRSTER Model 4.4-11
4.4-4 Emission Source/Modeling Concept Combinations 4.4-12
4.4-5 Maximum 30-Minute S09 and Particulate Concentrations -
TVA, NOAA Models. . 4.4-13
4.4-6 Meteorological Variables Associated with Maximum
30-Minute Concentrations 4.4-14
4.4-7 Maximum 3-Hour S09 Concentrations TVA Limited
Mixing Model. . 4.4-15
4.5-1 Independence Steam Electric Station Natural Draft
Cooling Tower Characteristics 4.5-9
4.5-2 Percent Occurrence and Saturation Deficit Little Rock
AFB, Arkansas; Data Record 1956-1962 4.5-10
4.6-1 High Sulfate Concentration Days From 1973-1976 4.6-15
4.6-2 Stations Which Reported on Greater Than 50 Percent of the
High Sulfate Concentration Days 4.6-16
4.6-3 Estimated 1972 Total Sulfur Oxides Emissions and
Emission Density for Arkansas and Neighboring States. . . 4.6-17
4.6-4 Total Sulfur Dioxide Point Source Emissions for Counties
in Arkansas, 1976 4.6-18
-------
TABLES (Continued)
4.6-5 Difference Between Little Rock Dew Point on High
Sulfate Concentration Days and Mean Monthly
Dew Point 4.6-19
4.7-1 Coal Trace Element Analysis (Dry, Whole Coal Basis) . . . 4.7-3
4.7-2 Estimated Maximum Emission Rates of Trace Elements. . . . 4.7-4
4.7-3 Occupational Safety and Health Administration (OSHA)
Workplace Exposure Standards 4.7-5
-------
FIGURES
Page
4.1-1 Annual wind frequency distribution - Little Rock
(1955-1964) 4.1-24
4.3-1 Determination of hourly mixing heights by the
CRSTER model preprocessor program 4.3-48
4.3-2 Illustration of limited mixing and inversion breakup
conditions 4.3-49
4.3-3 AP&L system load curve (winter maximum, 1/2/74) .... 4.3-50
4.3-4 AP&L system load curve (summer maximum 8/20/73) .... 4.3-51
4.3-5 TVA horizontal and vertical diffusion coefficients,
a and az 4.3-52
4.3-6 Typical limited mixing case, 0000 GMT sounding
(1715 CST release) 4.3-53
4.3-7 Typical inversion breakup case, 1200 GMT
sounding (0515 CST release) 4.3-54
2
4.6-1 Number of high sulfate concentration days (>JO pg/m at
75% or more of reporting stations) per month 4.6-20
4.6-2 Location of 6 highest and 6 lowest sulfate
concentration stations 4.6-21
2
4.6-3 1972 sulfur oxides emission densities (kg/yr-km ) . . . 4.6-22
4.6-4 Arkansas 1976 sulfur dioxide point source emissions
by county (kg/yr x 103) 4.6-23
4.6-5 Typical 850 mb chart for a day of high sulfate
concentrations in Arkansas 4.6-24
-------
PART 4
METEOROLOGY/AIR QUALITY
4.1 REGIONAL CLIMATOLOGY
This section describes baseline climactic features which are con-
sidered to be representative of conditions at the proposed site. Long-
term climatological records from the National Weather Service (NWS)
station at Little Rock, supplemented by data from locations near the
site were used in this study. Because of the homogeneous climactic
conditions over the eastern part of Arkansas, these data are considered
to be generally representative of climatic conditions at the site.
4.1.1 Surface Winds
An annual wind rose for the period from 1955 to 1964 at Little Rock
is shown in Figure 4.1-1. These data indicate that winds from south
through west-southwest are most common, although the distribution is
fairly uniform over all directions. The annual average wind speed is
7.3 kt (8.4 mph), and the frequency of calms is 5.2 percent (USDC,
1973a). This compares favorably with a 32-year mean wind speed at
Little Rock of 7.1 kt (8.2 mph) (USDC, 1974).
The "fastest mile" of record at Little Rock during the period from
1942 to 1974 was 65 mph (USDC, 1974). The fastest mile is defined as
the highest wind speed lasting for any time interval during which a
length of air one mile long passes a wind instrument.
4.1.2 Temperature
Monthly and annual values of daily mean temperatures, and average
daily maximum and minimum temperatures for Little Rock (USDC, 1974) are
shown in Table 4.1-1. Based on these data, the annual mean temperature
is 61°F. The highest average daily maximum temperature, near 93°F,
occurs during the months of July and August, while the lowest average
daily minimum temperature, 29°F, occurs in January. Data published for
stations nearer the site (Batesville and Newport) are in close agreement
with the above averages (USDC, 1965). Data for Batesville and Newport
indicate annual averages of 59.9°F and 61.7°F, respectively. The highest
average daily maximum value of temperatures, 92-93°F, occurs
4.1-1
-------
during July and August. The lowest average daily minimum occurs in
January, with 27°F at Batesville and 30°F at Newport (USDC, 1965).
Summer weather is consistently quite warm, with maximum tempera-
tures equal to or greater than 90°F approximately 75 days each year.
The temperature can be expected to drop to freezing or below about 60
days each year (USDC, 1968a). The extreme highest temperature recorded
at Little Rock (about 100 years of record) was 110°F, while the extreme
lowest was -13°F (USDC, 1974). However, long-term records at Batesville
yield an extreme high of 115°F and an extreme low of -18°F (USDC, 1965).
Extremes at Newport based on data records from 1891 through 1960 were
114°F and'-14°F.
4.1.3 Relative Humidity
Relative humidity is generally high in the site area. Based on
Little Rock data from 1961 to 1974 (USDC, 1974), the annual average
relative humidity is approximately 70 percent, while monthly averages
range from near 65 percent in March to over 75 percent in September.
Diurnally, the relative humidity averages 79 percent at midnight, 84
percent at 6:00 a.m., 57 percent at noon, and 61 percent at 6:00 p.m.
4.1.4 Precipitation
Monthly and annual precipitation means and extremes at both Little
Rock and Batesville are set forth in Table 4.1-2. Although the periods
of record are different, the annual mean at both stations was 49.5 in.
These data indicate that rainfall is rather evenly distributed through-
out the year, with a peak in spring and a minimum in late summer and
early fall. Maximum monthly totals of approximately 18 in. at Little
Rock and 14 in. at Batesville occurred in January at both stations. The
maximum rainfalls (inches) at Little Rock from 1900 to 1961 (USDC, 1963)
for various time periods to 24 hours are as follows:
Period (min.) 5 lp_ 15 30 60
Rainfall (in.)
Period (hrs.)
Rainfall (in.) 4.60 6.82 7.68 8.19 9.58
0.63
2
1.01
3
1.35
6
2.07
12
3.00
24
4,1-2
-------
Data presented for Batesville from 1951 to 1960 (USDC, 1965) in-
dicate that daily rainfall rates of 0.5 in. or more can be expected
about 2 or 3 days each month, or approximately 30 days per year. Measur-
able precipitation (0.01 in. or greater) occurs on an average of 104
days each year (USDC, 1974).
The annual average snowfall is approximately 5 in. at Little Rock
(USDC, 1974) and almost 7 in. at Batesville (USDC, 1965). Extremes of
snowfall (inches) for both Little Rock and the State of Arkansas are set
forth below (Ludlam, 1970):
Little Rock
Period (1885-1970) State of Arkansas
24 hr. 13.0 25.0 (Corning, 76-year period)
Single storm 13.0 25.0 (Corning, 76-year period)
Calendar month 19.4 48.0 (Calico Rock, 66-year period)
Season 26.6 61.0 (Hardy, 64-year period)
Precipitation in the form of freezing rain (glaze and ice storms),
although infrequent, is at times severe. Moderate to heavy ice storms
are estimated to occur about once every 4 years and can be very damaging
to utility lines and trees, as well as being a serious traffic hazard.
Hail is another form of frozen precipitation and is usually as-
sociated with moderate to severe thunderstorms. Hard hail (which does
not shatter on impact) of 1 in. diameter and larger will cause heavy
damage to roofs, pit thin steel surfaces such as automobiles, and may
break windows. For the period 1955-1967, there was an average of about
one report per year of hail 0.75 in. or greater in diameter within the
one-degree latitude-longitude square containing the proposed site
(Pautz, 1969). Almost half of these occurrences were in April.
4.1.5 Fog
Heavy fog is defined as that fog which reduces visibility to 0.25
mile or less. The average number of days each year with heavy fog is
16, based on Little Rock data from 1943 to 1974 (USDC, 1974). The
4.1-3
-------
average number of days each month with heavy fog reaches a peak of 3 in
January, and a minimum of less than 0.5 in June.
4.1.6 Thunderstorms
Thunderstorms can be expected on 55 to 60 days each year (USDC,
1974). Thunderstorm occurrences reach a peak in July with an average of
9 days, and average about 6 days a month during both spring and summer.
Thunderstorms generally occur on about two days each month during the
rest of the year.
4.1.7 Tornadoes
During the period from 1955 through 1967, a total of 27 tornadoes
were recorded in the one-degree latitude-longitude square containing the
proposed site (Pautz, 1969). According to Thorn (1963), the probability
and return period of a tornado occurrence at a specific point in this
area would be 0.00151 and 663 years, respectively. For comparison, the
maximum probability in the United States, based on the 1955 to 1967 data
set, is 0.00588 (return period of 170 years). This maximum occurs near
Oklahoma City.
4.1.8 Windstorms
Strong, gusty surface winds, 50 kt or greater, usually occur in
association with severe thunderstorm activity. On occasion, winds of
such magnitude may occur in association with intense extra-tropical
cyclones (low pressure areas), and strong winds also may accompany well-
developed cold fronts. From 1955 through 1967, 18 windstorms with winds
equal to or greater than 50 kt were reported in the one-degree latitude-
longitude square containing the proposed site (Pautz, 1969).
4.1.9 Tropical Cyclones
Tropical cyclones, including hurricanes, lose strength rapidly as
they move inland. Their greatest potential impact in the site area
comes from flooding due to heavy rainfall; high winds are seldom as-
sociated with them. Wind and precipitation extremes presented in pre-
vious sections include hurricane effects. An average of one tropical
.4.1-4
-------
cyclone per year, none with hurricane-force winds, affected Arkansas
during the period from 1931 to 1960 (Cry, 1967).
4.1.10 Atmospheric Stability
Atmospheric stability in conjunction with the general ventilation
(winds) indicates the ability of the atmosphere to disperse airborne
effluents. Analyses of dispersion, based on these variables, are
presented in subsequent sections. The mean annual frequency distri-
bution of Pasquill stability classes for the 10-year period from 1955 to
1964 at Little Rock (USDC, 1973a) is presented below:
Pasquill
Stability Class Description Percent Occurrence
A Extremely Unstable 0.6
B Unstable 6.0
C Slightly Unstable 13.3
D Neutral 43.6
E Slightly Stable 14.9
F Stable 14.9
G Extremely Stable 6.7
Stability determinations are based on the well-known Turner (1964)
or STAR method which assigns a stability class on the basis of surface
wind speed, cloud cover, and solar angle. Joint annual frequency dis-
tributions of wind speed, wind direction, and stability class at Little
Rock for the period 1955 to 1964 are shown in Tables 4.1-3 through 4.1-10.
4.1.11 Air Pollution Potential
Meteorological conditions conducive to high air pollution potential
on a regional basis are light winds accompanied by a shallow mixing
height. Mixing height is defined as the vertical extent of the surface
layer in which relatively vigorous vertical mixing takes place.
Holzworth (1972) has compiled isopleths of seasonal and annual mean
mixing heights for both morning and afternoon cases. The Little Rock
mean mixing heights and associated average wind speeds through the
mixing layer (period 1960 to 1964) are as follows:
4.1-5
-------
Morning Afternoon
Mixing Wind Mixing Wind
Height Speed Height Speed
Season (Meters) (m/s) (Meters) (m/s)
Winter 541 5.2 1101 6.6
Spring 544 5.7 ,1612 7.0
Summer 375 3.7 1851 .4.9
Autumn 342 3.8 1401 5.2
Annual 450 4.6 1491 5.9
The above data show that, on the average, the greatest air pollution
potential-occurs on summer and autumn mornings because of the more
shallow mixing depths and lower wind speeds.
The persistence of high meteorological potential for air pollution
is indicated by what Holzworth calls episodes and episode days. An
episode occurs if a mixing height of 2000 meters or less, combined with
a wind speed of 6 meters per second or less, persists without precip-
itation for at least 2 days. Holzworth determined the frequency of
2-day and 5-day episodes for several combinations of wind speeds and
mixing heights. Episode days are the total number of days included in
the episodes. The number of episodes in 5 years (1960 to 1964) at Little
Rock, lasting 2 or more days and 5 or more days, are:
Mixing Height Two or More Days • Five or More Days
(meters) Wind Speed (m/s) Wind Speed (m/s)
<2 <4 £6 <4 £6
£500 012 00
£1000 0 9 30 ,02
£1500 0 23 68 05
£2000 0 39 126 1 16
These data show that there were only 16 episodes in 5 years lasting 5 or
more days; of these only 2 had a mixing depth of 1000 meters or less.
Based on a 40-year period of record (1936-1975), Korshover (1976)
tabulated the number of times stagnating anticyclones persisted for 4 or
more and 7 or more days. Occurrences of stagnation were determined
4.1-6
-------
primarily on the basis of a surface pressure-gradient analysis. In the
general site area, there were 20 stagnation cases which persisted for at
least 4 days during the 40-year period, involving a total number of 92
stagnation days. Of the 20 cases, 12 occurred during the fall and 8
during the summer season. There was only one case which persisted for 7
or more days during this period.
The above indicates that conditions condusive to high air pollution
in the region are infrequent. This is due to frequent air mass changes
resulting from frontal passages in this region.
4.1.12 Average Wind Speed in the Mixing Layer
Depending on the type of model and plume rise calculation technique
used, the results of a modeling analysis sometimes show that low wind
speeds are associated with higher ground level concentrations for
elevated, buoyant emission releases. To determine the frequency with
which such winds occur, an evaluation of average wind speeds repre-
sentative of the Independence site within the entire mixing layer was
conducted. This evaluation is based on twice-daily (morning and after-
noon) rawinsonde soundings made at Little Rock during the 5-year period
1960 to 1964.
Wind speed averaged over the entire mixing layer is a more meaning-
ful statistic than surface wind speed, since a plume released from a
1000-ft stack will be affected by winds throughout the vertical extent
from ground level to the top of the mixing layer and not just by surface
winds. Furthermore, the mixing layer must be of sufficient height,
or a buoyant plume released from a tall stack will ascend above the
mixing height and not contribute significantly to ground level concen-
trations. Computations performed using Briggs1 plume rise equations
(Briggs, 1971; Briggs, 1972) indicate that the plume from the Indepen-
dence Steam Electric Station when both generating units are operating
will be above 500 m during very low wind speed conditions. Therefore,
only those non-precipitation cases were considered when the mixing
height, determined by the Holzworth (1972) technique, was 500 m or
greater.
4.1-7
-------
The resulting frequency of occurrence of mixing layer average wind
speeds has been tabulated by the National Climatic Center (USDC, 1968b)
and is presented in Table 4.1-11 for both morning and afternoon soundings,
Average wind speeds of 2 m/s or less are very infrequent, occurring only
5 percent of the time during the 429 morning cases when the mixing
height was 500 m or greater, and only 3 percent of the time during the
1377 afternoon cases when the mixing height was at least 500 m.
4.1.13 Average Wind Speed and Direction at Stack Height
As a means of estimating prevailing transport conditions for a
plume released from the Independence site at a height of 1000 ft (305
m), average annual percent frequency of winds at the 300 m level are
presented in Table 4.1-12. These data are based on twice-daily Little
Rock rawinsonde measurements over the period 1960 to 1964 (USDC, 1973b).
Although wind direction is resolved only to the four primary compass
directions, it appears that westerly wind flow between 5 and 10 m/s is
the most common morning condition, and southerly wind flow between 5 and
10 m/s the most common afternoon condition.
4.1.14 Temperature Inversion Frequency
A temperature inversion exists in the atmosphere when temperature
increases with height rather than decreases as is usually the case. An
estimate of morning and afternoon temperature inversion frequency at the
Independence site is provided in Table 4.1-13 and is based on twice-
daily rawinsonde observations taken at Little Rock over the 5-year
period 1960 to 1964 (USDC, 1973b). This table includes both surface-
based inversion frequency and frequency of inversions with bases above
the surface. Surface-based inversions are more frequent in the early
morning and are due primarily to radiational cooling effects. Elevated
inversions are more common during the late afternoon and are presumably
largely attributable to subsidence heating when high pressure systems
are present.
Information is presented in Table 4.1-14 regarding the seasonal
frequency with which a plume emitted from the Independence Steam Electric
Station's 1000-ft stack might actually be embedded within an inversion
4.1-8
-------
layer. This table shows the precentage frequency of occurrence of
inversions which are based below 250 m, i.e., below the top of the
stack, and are at least 500 m thick so that they extend well above the
top of the stack. Such inversions are most common in the early morning,
particularly during the winter months when they occur about 26 percent
of the time.
4.1-9
-------
Table 4.1-1
Values of Mean and Average
Daily Maximum and Minimum Temperatures (°F)
at Little Rock (1941-1970)
Month
January
February
March
April
May
June
July
August
September
October
November
December
Mean
39.5
42.9
50.3
61.7
69.8
78.1
81.4
80.6
73.3
62.4
50.3
41.6
Average
Daily
Maximum
50.1
53.8
61.8
73.5
81.4
89.3
92.6
92.6
85.8
76.0
62.4
52.1
Average
Daily
Minimum
28.9
31.9
38.7
49.9
58.1
66.8
70.1
68.6
60.8
48.7
38.1
31.1
Annual
61.0
72.6
49.3
Source: USDC, 1956, 1965, 1974.
4.1-10
-------
Table 4.1-2
Monthly and Annual Precipitation
Little Rock and Batesville, Arkansas
(Inches)
Little Rock
Batesville
January
February
March
Apri 1
May
June
July
August
September
October
November
December
Annual
Mean
(1941-1970)
4.24
4.42
4.93
5.25
5.30
3.50
3.38
3.01
3.55
2.99
3.86
4.09
48.52
Maximum
(1935-1974)
18.04
11.02
9.49
14.20
12.74
7.82
7.60
14.46
9.09
9.68
9.54
8.33
74.39
Mean Maximum
(1931-1960) (1931-1960)
4.40
4.17
4.68
4.34
4.94
4.17
3.81
3.43
3.23
3.27
4.27
3.87
48.58
13.85
10.53
10.48
10.63
12.07
10.81
7.88
7.99
9.56
11.34
11.32
9.96
65.25
Source: USDC, 1956, 1965, 1974.
4.1-11
-------
AMMUAL
Table 4.1-3
Class A-Wind Frequency-Distribution
RELATIVE FREQUENCY DISTRIBUTION
STATION =13963 LI TILE RUCK>AR-
SPFFDUTS)
DIRECTION
N
IINE
NE
ENE
E
FSE
SE
SSE
S
SSH
SH
wsw
w
WNW
NK
NNH
TOTAL
RELATIVE
RELATIVE
0-3
o.ooo-o is
0.00007;:
0.000071
O.OOOOB:*
0.00012^
0.000180
0.00015V
O.OOOT25
0.000] 01
0.000053
0.000091
0.000123
0.000060
0.00006ft
0.000037
0.000006
0.001*16
FREQUENCY OF
FREQUENCY OF
4-6
•0.0'I0183
O.OOOP.51
0.0003R8
0.000377
0.000548
0.000491
0.0^0400
0.0^0297
0.000?97
0.000320
0.000331
0.000274
O.OOOU*
0.000183
0.000137
0.000069
0.004659
OCCURRENCE OF A
CALMS DISTRIBUTED
7-10
o.oooooo
o.oooooo
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
0.000000
0.000000
STABILITY
ABOVE HITH
11-16
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
o.ocoooo
o.ocoooo
o.oooooo
0.000000
0.000000
0.000000
0.000000
0.000000
« 0.006075
A STABILITY .
17 - 21
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
.0.000000
o.oooooo
. o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
0,000000
o.oooooo
o.oooooo
o.oooooo
•= C.0004Q1
GREATER THAN 21
0.000000
o.oooooo
o.oooooo
0.000000
0.000000
0.000000
O.GOOOOO
0.000000
0.000000
0.000000
o.oooooc
o.oooooo
o.oooooo
O.OOOOOG
0.000000
0*000000
0.000000
1955-6/1
TOTAL
0.000199
0.000323
0.000*^0
0.000*60
O.OOC671
0.000671
O.OCC559
0.000*22
0.000398
0.000373
0.000*22
0.000398
0.000174
0.000243
0.000224
0.000075
-------
Table 4.1-4
Class B Wind Frequency Distribution
AMMUAI
RULATIVt FUFQUENCY DISTRIBUTION
STATION «13<>63 LITTLE RUCK>AK 24UBS
1955-64
SPEFD(KTS)
DIRECTION
M
NNE
NE
ENE
E
ESE
SE
SSE
S
ssw
sw
wsw
w
WNW
NH
UNH
TOTAL
RELATIVE
RELATIVE
0-3
0.000*42
O.OOQ707
0.00079C,
• O.OOOK37
0.000905
0.00092*
0.000064
.0.000762
0.000739
0.000517
0.000*9"
O.OOOB67
0. 000*52
0.00041Z
0.000''ll
0.000263
0.0101599
FREQUENCY OF
FREQUENCY OF
4-6
O.OHH76
0.001507
0.001998
0.002284
0.002204
0.0'"2581
0. 0^2729
0.0l2i)32
0.001644
0.001576
(I.00177Q
0.0-H964
0.000891
0-001028
0.001005
0.000959
0.0?7347
OCCURRENCE OF B
CALMS OISTRI8UTFD
7-10
0.000617
0.001020
0.001450
0.002147
0.002090
0.0019B7
0.00l«5o
0.001279
0.001*67
0.001861
0.002227
0.001621
0-000559
0.000674
0.000765
0.000582
0.0224Q3
STABILITY
ABOVE WITH
11 - 16
0.000000
0.000000
o.oooooo
0.000000
0.000000
o.oooooo
o.oooooo
o'.oooooo
0.000000
0.000000
o.oooooo
o.oooooo
o.oooooo
o.oooooo
0.000000
o.oooooo
0.000000
« 0.060448
E STABILITY
17 - 21
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
0.000000
o.oooooo
o.oooooo
o.oooooo
o.oooooo .
o.ooooon
o.ooooon
o.oooooo
o.oooooo
o.oooooo
= 0.002135
CRbATEP. THAN 21
• o.oooooo
o.oooooo
o.oooooo
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
0.000000
0.000000
TOTAL
0.002334
0.003241
0.004245
0.005260
0.005199
0.005495
0.005443
0.004073
0.004050
0.003954
0.004694
0.004452
0.0019Q2
0.002113
0.002180
0.0018Q4
-------
Table 4.1-5
Class C Wind Frequency Distribution
ANNUAL
RELATIVE FREQUENCY DISTRIBUTION
STATION »13>»63 UllTlE RUCK,AK 240RS
• 1955-64
SPEED(KTS)
DIRECTION
N
NNE
ME
F.NE
E
ESE
SE
, SSE
S
ssw
SH
wsw
w
HNW
NW
NNW
TllTAL
RELATIVE
RELATIVE
0-3
0.000?B1
0.00024'J
0.000327
0.000414
0.000444
0.00043U
0.000492
0.000?5g
•' 0.000432
O.OC0342
0.000484
0.000^67
0.00024?
O.OOOl'fr
0«000?40
O.OOOlP"
0.005^95
FREQUENCY OF
FREQUENCY OF
4-6
0.001599
O.001&78
0.00l«l6
0.0n2626
0.002501
n.on2«77
0.00?512
0.001975
0.0'M998
O.OT2124
0.0:)2592
0.00274Q
0-001325
0«0"15B7
0.0ol5o7
0«0l
0.000662
0.000754
0.000^48
0.000731
0.000400
0.000411
0.000697
0.001103
0.00223B
0.002044 .
0.001P.33
0-000320
0.000525
0.000^05
0.000148
0.013074
= 0.132852
C STABILITY
17 - ?.)
o.OQOOno
o.oooooo
o.oooooo
0.000011
o.oooooo
0.000011
0.000000
o.oooooo
.0.000080
0.000126
O.OOOOPO
0.000046
0.000023
o.oooosn
0.000034
o.oooooo
0.000491
«= 0.001758
GRfcATER THAN 21
0.000000
0.000000
o.oooooo
0.000000
0.000000
o.oooooo
0.000000
o.oooooo
0.000000
0.000011
o.oooooo
0.000011
o.oooooo
0-000034
o.oooooo
0-000000
0.000057
TOTAL
0.004973
Ow006V5i
0.007863
0.010^07
0.009750
0.009858
0.008040
0.007221
0.009909
0,012034
0.013193
0.011315
0.004331
0.00546Q
0-006520
0.004527
-
-------
Table 4.1-6
Class D Wind Frequency Distribution
AMMUAI
RELATIVE FREQUENCY DISTRIBUTION
STATION -13963 LITTLE ROCK,AK 240B.S
1955-64
SPEED(KTS)
DIRECTION
N
NNE
NE
F.NE
E
ESE
SE
SSE
S
ssw
SW
wsw
w
WNW
NW
NNW
TQT4L
RELATIVE
•RELATIVE
0 -
0.000060
0.000960
0.001?56
0.001405
0.001576
0.001227
0.001645
O.OOOC-51
0.00099*
0.000*17
0.000997
0.000^39
0.000*3?.
0.000*50
0.00049*
0.000*25
0.0)5038
FREQUENCY OF
FREOUFNCY OF
3 4-6
0.004305
0.0^5184
6.005675
0.006771
0. 005778
0. 006212
0.005709
0.004978
0. nn5024
0.0-13996
0.004579
0.0"363l
0.002386
0.002489
0.002912
0.003083
0.072711
OCCURRENCE OF D
CALMS DISTRIBUTED
7-10
0.013188
0.015072
0.016648
0.010121
0.011110
0.009728
0.009591
0,011669
0.017070
0.0149B1
0.012423
0.008689
0.004624
0.007102
0.008404
0.009431
0.1*7353
STABILITY
ABOVE WITH
11 - 16
0.009728
0.009945
0.008792
0.008415
0.004796
0.004739
0.004442
0.005721
0.015266
0.017527
0.011315
0.007742
0.0047Q4
0.012389
0-009751
0.008587
0.143058
» 0.436200
D STABILITY
17 - 21
0.001U9
O'.0003&5
0-000320
0.000251
0.000137
0.0003o8
0.000205
0.000388
0.001553
0.002352
0.001176
0.000776
0.001016
0.002843
0-001507
0.000719
0.015118
= 0.004910
GREATER THAN ?l
0.000069
0.000023
0.000000
0.000011
0.000023
0.000034
0.000023
0.000046
0.000091
0.000240
0.000091
0-000251
0.000183
0.000343
0-000126
0.000069
0.001621
TCITAL
0.029269
0.031550
0.032690
0.034975
0.023419
0.022248
O.Q21695
0.023654
0.0*0004
0.039V14
0.030582
O.Q217Z8
0.013346
0.025616
0.023199
0.022313
-------
Table 4.1-7
Class E Wind Frequency Distribution
ANNUAL
RELATIVF FRI-QUENCY DISTRIBUTION
SUTtON »13Vc>3 LITTLE RUCK,AK 24UBS
en
• 1955-64
SPLCD(KTS>
DIRECTION
N
NNE
NE
F.NF.
E
ESE
SE
SSE
S
ssw
SU
WSH
W
WNH
NW
MNW
TOTAL
RELATIVE
RELATIVE
0-3
o.oooooo
0.000000
0.000000
o.oooooo
0.000000
o.oooooo
o.oooooo
o.ooonoo
' o.oooooo
o.oooooo
o.oooooo
0-000000
0*000000
0.000000
0.000000
o.oooooo
0.000000
FREQ'JfcNCY OF
FREQUENCY OF
4-6
0.00320V
0.003266
0.0o4n3l
0.0'i423
0.003700
0.004362
O.Ot'4328
0.005/,l2
0.005195
O.OT4213
0.005218
Q«QQ5355
0 • 00 ? I c> *
0.001&10
0.0*2078
0.002386
0.060825
OCCURRENCE PF E
CALMS DISTRIBUTED
7-10
0.00733]
0.006257
0.004010
0.003631
0.002352
0.002272
0.002603
0.004659
0.008529
0. 00?034
0.00^569
0«0o94o9
0-003^4
0.005184
0.005287
0.005743
0.087*52
STABILITY
ABOVE WITH
11-16
0.000000
0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
o.ooocoo
o.oooooo
o.oooooo
0-000000
0.000000
o.oooooo
0.000000
0.000000
B 0.148677
F STABILITY
17 - 21
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
.0.000000
0.000000
o.oooooo
o.oooooo
0*000000
0.000000
o.oooooo
o.oooooo
o.oooooo
« o.oooooo
GR6ATF.R THAN 21
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
0.000000
o.oocooo
O'OOOOOO
0.000000
o.oooooo
o.oooooo
0.000000
TOTAL
0.010539
0.009523
0.008050
0.007924
0.006052
0.006634
0.006931
0.010C71
0.013725
O.OH247
0.014787
0-014764
0-006143
0,006794
0.007365
0.008130
-------
Table 4.1-8
Class F Wind Frequency Distribution
ANHMAt
RFLATIVF. FREQUfcNCY DISTRIBUTION
STATION -13963 LtTTLE RUCK»AK 24647
0.005412
0.0n6668
0.008472
0.008061
0,007616
0.0'3805
0.0?2048
0.006737
0«0o35l7
0.004670
0.00513B
' 0.120611
nCCURRENCF. OF F
CALMS DISTRIBUTED
7-10
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
o.oooooo
o.oooooo
o.oooooo
0.000000
0.000000
0.000000
STABILITY
ABOVE WITH
11 - 16
0.000000
0.000000 •
O'.OOOOOO
0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
o.oooooo
'o.oooooo
o.oooooo
0-000000
0.000000
o.oooooo
.0.000000
= 0.14896-*
F STABILITY <
17 - 21
0.000000
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.ooooon
o.oooooo-
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
0*000000
0-OOOOon
o.oooooo
o.oooooo
o.oooooo
> 0,012218
GREATER THAN 21
0.000000
o.oooooo
0.000000
o.oooooo
0.000000
0.000000
0.000000
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
O'OOOOOO
0*000000
o.oooooo
0.000000
o.oooooo
'TOTAL
0.007339
0.007675
0.007090
0.007053
0.006692
0.007426
0.008981
0.01Q573
0.010125
0.009254
O.Q16513
0. Q25347
0.008160
0.004304
0.005597
0.006331
-------
Table 4.1-9
Class 6 Wind Frequency Distribution
ANNUM
RELATIVE FREQUENCY DISTRIBUTION
STATION "13953 LITTLE
24UBS
1955-64
SPEED(KTS)
DIRECTION
N
?|N6
NE
ENE
E
ESE
SE
SSE
S
SSW
SW
WSH
W
WNW
NW
NNH
TOTAL
RELATIVE
RELATIVE
0-3
0.002235
o.ooi^a4
0.003043
0. 003926
0.004532
0.004302
0.005221
. 0.0045R7
' 0.004386
0.004448
0.007631
0.009057
0.003780
0.002151
n.o020B8
0.001316
0.066785
FREQUENCY OF
FREQUENCY OF
4-6
0.000000
0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
o.onoooo
0.000000
0.000000
0.000000
0.000000
o.oooooo
0,000000
0.000000
o.oooooo
0.000000
OCCURRENCE OF c
CALMS DISTRIBUTED
V - 10
o.oooooo
o.oooouo
o.oooooo
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0.000000
0*000000
0.000000
STABILITY
ABOVE WITH
11 - 1.6
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
o.oooooo
.0.000000
0.000000
0.000000
0.000000
o.oooooo
0.000000
0.000000
0.000000
0.000000
- 0.06.6785
G STABILITY
17 - ?l
o.oooooo
o.'ooootio
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
o.ocoooo
o.oooooo
o.oooooo
o.oooooo
o.oooooo
O.OOOOQC
* 0.030270
GREATER THAN 21
0.000000
o.oooooo
0.000000
o.oooooo
0.000000
0.000000
0.000000
o.oooooc
0.000000
0.000000
0.000000
0.000000
o.oooooc
o.ooocoo
o.oooooo
0.000000
0.000000
TOTAL
0.002235
0.001934
0.003843
0.003*26
0.004532 .
6.0043o2
0.005221
0.004687
0.0043B6
0.004448
0.007831
0.009857
0.003730
0.002151
0.002088
0.001316
-------
Table 4.1-10
Wind Frequency Distribution for all Stabilities-
ANMUM.
UFTLF KUCK,AK
1955-64
niRcrnnM
N
NNE
NE
ENE
f E
L ESE
SE
SSE
S
SSW
sw
WSW
w
WNW
NH
NNW
TQTftL
0'- 3
0.005704
0.006155
n.nofll 4n
0.008712-
0.009606-
0.009334"
0.010615-
. 0.009121
0.008H94
0.0077Q4.
0-011°5l
0-013630
0.005958-
0«004(i65 •
0.004'. I''
0.003*74
0.127HR4
TOTAL RELATIVE FREQUENCY
-TOTAL RELATIVE FREQUENCY
t
/. - ft
0.016511
O.OlBy75
0.01.9331
0.0?1718
0.019377
0-0>1934
0.0?2346
0.0?3168
0.0?2220
0-019845
0. 0>8294
0.0^6812
0*013622
0-010413
0-012309
0.012800
0.318775
OF OBSERVATIONS
SPEFD(KTS)
7-10
0.02397ft
0.026719
O.OP70B4
0.030B06
0.021626
0.020119
0.018669
0.021797
0.033558
0.031069
0-o'32211
0.026536
0.011578
0.015997
0.018589
0.018783
0.379120
3 1.000001
OF CALMS DISTRIBUTED ABOVE «
11 - 16
0.009980
0.010MB-
0.009546'
0.009.?63
0-005526-
0.00513H
0.004K53-
6.006417
0.016374
0.019765
0-013359
0.008v75
0-005c24.
0-012914
0-010356
0-008735
0'. 156932
0.051782
17 - 21
• O.OOHI9
0.000363
0.000320
0.000263
0.000137
0.000320
0.0002F5
0. 0003f.fi
0.001633
0.002478
0-001256
0-000822
0.001039
0.002V23
0-001541
0.000719
0.015609
GREATER THAN 21
0.000069
0.000023
0.000000
0-000011
0.000023
0.000034
0.000023
0.000046
0.000091
0.000251
0-000091
0-000263
0-0001 83
0-000377
0-000126
0-000069
0.001678
TOTAL
0,o573hQ
0.061^4
0.0^4421
0.070S7J
0.056295
0.056300
0.056790
0.060?37
O.OB2770
o.oanu
O.OH7162
0«087044
0.0374Q4
O.Q46689
0.04733*
0.04*>9BQ
-------
Table 4.1-11
Frequency of Occurrence of Average
Wind Speeds Through the Mixing Layer
for Non-Precipitation Cases When the
Mixing Height is 500 m or Greater
Number of Occurrences
Morning Average
(0600 CST)
Month
January -
February
March
April
May
June
July
August
September
October
November
December
Total
Total Percent
Frequency
Wind
0-2.0
0
1
1
1
2
3
5
3
0
2
0
2
20
5%
Speed
2.1-6.
17
15
18
6
16
18
5
13
13
6
10
18
165
38%
(m/s)
0 >6.0
22
27
30
40
20
11
11
6
10
17
24
26
244
57%
Afternoon Average
(1800 CST)
Wind
0-2.0
4
1
'0
0
5
6
4
4
3
9
5
3
44
3%
Speed
2.1-6.
55
49
42
43
66
82
90
107
94
89
68
49
834
61%
(m/s)
0 >6.0
38
41
69
65
66
34
39
21
26
35
31
44
499
36%
Source: USDC, 1968b
4.1-20
-------
Table 4.1-12
Annual Joint Distribution (Percent Occurrence)
of Wind Speed and Direction at 300-Meter Level
(Based on Little Rock Rawinsonde)
Observations, 1960-1964)
Percent Occurrence
Morning (0600 CST) Afternoon (1800 CST)
Wind Speed Direction Direction
(m/s) _N_ _E_ J_ W N E S W
0.1-2.5 1.7 1.8 1.8 2.5 1.7 3.6 3.7 1.8
2.6-5.0 6.0 7.5 6.9 5.9 6.5 12.9 12.0 5.3
5.1-10.0 10.8 9.5 12.1 14.0 7.3 8.0 18.9 9.5
>10.0 3.3 0.9 7.8 7.5 1.5 0.6 3.9 3.1
Source: USDC, 1973b
4.1-21
-------
Table 4.1-13
Seasonal and Diurnal Distribution
of Inversion Frequency (Based
on Little Rock Rawinsonde Observations, 1960-1964)
Percent Occurrence
Season
Dec-Jan-Feb
Mar-Apr-May
Jun-Jul-Aug
Sep-Oct-Nov
Annual
Morning (0600 CST)
Surface-
Based
49.6
57.0
75.9
73.4
64.0
Elevated
47.9
36.2
14.7
20.7
29.8
Afternoon (1800 CST)
Surface-
Based
20.0
2.8
3.9
20.5
IT.8
Elevated
69.6
66.2
33.4
49.3
54.5
Source: USDC, 1973b
4.1722
-------
Table 4.1-14
Seasonal and Diurnal Frequency Distribution
of Inversions Based Below 250 Meters
and At Least 500 Meters Thick
(Based on Little Rock Rawinsonde Observations,
1960-1964)
Percent Occurrence
Season Morning (0600 CST) Afternoon (1800)
Source: USDC, 1973b
Dec-Jan-Feb 26.1 5.3
Mar-Apr-May 13.4 0.2
June-Jul-Aug 10.2 0.6
Sep-Oct-Nov 19.2 0.6
Annual 17.4 2.2
4.1-23
-------
NNW
N
NNE
NW
NE
WNW
WSW
ENE
20
ESE
SW
SE
SSW
SSE
LEGEND:
0-6 7-10 >IO
SPEED CLASSES (KNOTS)
Figure-4.1-1. Annual wind -frequency distribution - Little Rock (1955-1964).
4.1-24
-------
4.2 EMISSION CONTROL TECHNOLOGY
4.2.1 Sulfur Dioxide Control
Control of sulfur dioxide emissions at the Independence Steam
Electric Station will be achieved through the use of low-sulfur coal
obtained from mines in eastern Wyoming. This coal, contracted to meet
the fuel requirements of both units, will have a typical sulfur content
of 0.28 percent by weight (as received).
Additional reductions in sulfur emissions can be expected when
using Wyoming coal. Investigations of sulfur balances at subbituminous-
.and lignite-fired power plants indicate that over 50 percent of sulfur
in the coal may be retained in the fly ash. The variables which affect
the quantity of sulfur retained are: coal mineral matter, boiler
temperature, load, and combustion gas residence time.
The three forms of sulfur which are present in coal are organic,
pyritic, and sulfate. Organic sulfur generally predominates in low
sulfur coal. Pyritic sulfur (FeS2) is easily oxidized to sulfate.
Sulfate sulfur in fresh coals is usually less than 0.05 percent, and its
presence in more than this amount indicates the coal has weathered.
Sulfate sulfur usually occurs as CaSO, and FeSO..
During combustion, organic sulfur and pyritic sulfur are oxidized
to SOp and FeSO. respectively. FeSO. decomposes at 330°F to form Fe^O,
and sulfur oxides. Calcium sulfate decomposes to CaO and sulfur oxides
at temperatures above 1900°F. Since furnace temperatures will range
from 2100 to 2200°F, all three forms of sulfur can result in sulfur
oxides emissions.
The more alkaline coals such as low sulfur Wyoming coal have a
greater tendency to retain sulfur in collected ash. An example of this
sulfur retention factor is provided in a study of a 350 MW coal-fired
generating unit performed for USEPA by Radian Corporation (USEPA, 1977).
The fuel used udring this study was sub-bitumious, low sulfur Wyoming
coal very similar to that which will be used by the Independence Steam
Electric Station. Sulfur balance data obtained over a 7-day sampling
4.2-1
-------
period during which the boiler was operating, essentially at full load,
demonstrated that the percentage of sulfur retention was between 14 and
16 percent.
Operating conditions also have an effect on sulfur retention. At a
reduced load or with a low heat release, the gas temperature is lowered,
and the residence time is longer. This results in greater sulfur re-
tention in the ash. Sulfur balances conducted at Neil Simpson Power
Station and Black Hills Power indicate that sulfur retention in ash in-
creased from approximately 30 percent at rated capacity to approximately
65 percent at half load. Studies conducted on plants burning German
brown coals have also shown that the sulfur retained in the ash is
greatly influenced by boiler load and gas residence time.
Tests have shown a wide variation in the amount of sulfur retained
in the various ash fractions. These fractions depend upon the amount of
alkali and the temperature of the ash. The ash fraction highest in sul-
fur is the fine fly ash. Less sulfur is retained in the dust collection
fly ash and least sulfur is found in slag. Thus, ash collected by
electrostatic precipitators is considerably enriched in sulfur compared
to the slag. :
Analysis of the coal to be, used for the Independence Steam Electric
Station indicates that sulfur retention should be greater than 10
percent. However, a 10 percent value has been used for all mathematical
modeling. At the time Unit One becomes operational, tests will be
conducted measuring sulfur content in the coal and quantity of sulfur
dioxide leaving the stack. The results of these tests will provide an
accurate prediction of what the actual retention rates will be. Such
information will be used to determine operating procedures.
More detailed information is presented in EIS Tables 6.3-4 and 6.3-5
on specific coal analysis. Emissions for various operating levels are
listed in Section 4.3. The coal will be tested to insure compliance
with the Federal New Source Performance Standard for coal-fired steam
generators (1.2 Ib SO^/IO Btu). Typical coal used is expected to
produce an emission rate approximately half of the allowable.
4.2-2,
-------
4.2.2 Nitrogen Oxides Control
Control of nitrogen oxides is accomplished through control of the
combustion process. At present there are no feasible flue gas cleaning
systems for nitrogen oxides. The use of tangentially fired boilers has
been found to be the most effective means of reducing nitrogen dioxide
emissions. Both units at Independence Steam Electric Station will use
boilers of this design.
Tangential firing is a technique of locating burners in the corners
of the box-like furnace area and distributing the fuel and combustion
air tangentially about the center of the furnace, resulting in a fire-
ball-type flame.
Through a USEPA sponsored program, Combustion Engineering (the
boiler manufacturer for the Independence Steam Electric Station) joined
with ESSO Research and Engineering Company for extensive testing of one
500 MW, twin furnace, tangentially coal-fired unit. As a result, many
quantitative and qualitative observations were made regarding the effect
of change in operation or design variables on nitrogen oxides emission
for tangentially fired units. The burners designed by Combustion
Engineering for use at the Independence Steam Electric Station incor-
porate control technology gained from studies such as these. Table 4.2-1
is a listing of expected nitrogen oxides emissions vs boiler load.
Based on this information supplied by the manufacturer, the greatest NO
6 X
emission rate anticipated is 0.6 lb/10 Btu, less than the allowable
Federal New Source Performance Standard for coal-fired steam generators
of 0.7 lb/106 Btu.
4.2.3 Particulates Control
4.2.3.1 Combustion
Experience at other coal-fired generating plants has shown that ap-
proximately 20 percent of the total ash produced by the burning of the
coal will be collected in hoppers at the furnace bottom and in the
economizer section of the furnace. The remaining 80 percent of the
total ash can be expected to be entrained in the flue gas stream which
leaves the furnace. Downstream of each steam generator will be an
4.2-3
-------
electrostatic precipitator for removal of the fly ash from flue gases.
These precipitators will be located on the upstream side of the air
preheater. Temperatures in this area are in the range of 750-800°F and
experience throughout the power industry has shown that higher collection
efficiencies are more readily attainable with these "hot" precipitators
in conjunction with Western coals than with "cold end" precipitators.
The precipitators at Independence will be guaranteed at a collection
efficiency of 99.5 percent. As an extra margin to insure that this
efficiency is reached, AP&L will require that the precipitators be
designed to handle 100 percent of the ash produced, whereas only 80
percent is expected to leave the steam generators. Also, each precip-
itator will be required to have 110 percent of the collector plate area
actually needed, as determined by design calculations, to reach the
rated efficiency.
4.2.3.2 Coal and Ash Handling
Other potential sources of particulate air contamination include
dust blown from coal during transportation; dust produced during coal
unloading; dust produced by the coal handling equipment; particulates
becoming airborne during the transfer of fly ash from ash silos to
trucks for hauling to the ash disposal area; dust resulting from unload-
ing of these trucks; and particulates blown by wind from the surface of
the stacked ash in the disposal area and from the coal storage area.
Fly ash which is collected from the electrostatic precipitator will
be conveyed within piping by air pressure to fly ash silos. The fly ash
will then be loaded on trucks and hauled to the ash storage area. The
dry ash silos are fitted with water injection systems combined with
dustless rotary truck loading devices to prevent escape of particulates.
Therefore, fugitive dust emission should not be a problem during the
transport of ash to the ash disposal area.
The bottom ash will be sluiced from the boiler area to dewatering
bins. The dewatering bins separate excess water from the ash, and a 75
percent solid and 25 percent liquid mixture will be trucked to the ash
disposal area. The excess water from the dewatering bins will be
4.2-4
-------
returned to the recycle water pond for reuse in the ash sluice system.
Bottom ash will thus be transported to the onsite waste disposal area in
a semi-dry state, thereby minimizing dusting conditions.
Measures of controlling dust from coal unloading and transfer
operations include dust suppression and removal systems. In addition,
all conveyors from the crusher house to the silos at the boilers will be
of covered design to minimize any dusting due to high winds. Coal will
be delivered to the plant site in approximately 110-car unit trains.
Cars will be open-type, each containing 100 tons of coal. Discussion
between AP&L and coal suppliers who operate similar unit trains has
established that dusting along the railroad right of way should not be a
problem. The coal delivered in the cars will be of a relatively large
size (2 inches nominal diameter), and the smaller pieces that are loaded
will have a tendency to settle to the bottom of the car preventing their
being blown out onto the right-of-way. Also, the coal is of a high
moisture content (28 percent typical) with entrained surface moisture
amounting to 5 percent. These high moisture levels will resist dust
formation and further reduce the problem of dust blowing during coal
delivery.
There is no practical method of modeling these fugitive dust sources
due to the many variables involved. It is expected, however, that the
effects of such random and unpredictable emissions will, in light of the
control measures to be used, be indistinguishable from normal background
at points outside the plant boundary. This assertion will be confirmed
by the use of post-operational particulate monitoring near site boundaries.
4.2.4 Other Facility Emissions
While most emissions will come from the boiler stack and cooling
towers, there will also be a number of minor, mostly intermittent
sources of air contaminants.
Fugitive dust can be produced from many operations at the proposed
facility. These include the various phases of coal manipulation,
transfer of fly ash, vehicle movement on the property, and particle
4.2-5
-------
entrainment when winds blow across the coal storage pile and the ash
disposal area. Control of these sources has been discussed in the
section on particulates control. The level of total suspended solids
beyond the site boundary is not expected to be noticeably affected by
these fugitive dust sources.
The auxiliary boiler will emit nitrogen oxides, particulates, and
sulfur dioxide. This boiler will burn a No. 2 light fuel oil with a
very low sulfur content, typically on the order of 0.18 percent by
weight. The fuel consumption rate is expected to be 12,696 Ib/hr at an
operating level 100 percent of rated capacity. Based on this consump-
tion rate, a sulfur content of 0.18 percent, and an oil density of 7.24
Ib/gal, expected emissions are as follows:
S02 46 Ib/hr
NO (as N09) 39 Ib/hr
A ^
Particulates 4 Ib/hr
NO and particulate emission rates are derived from USEPA emission
factors (USEPA, 1976).
The No. 2 fuel oil to be used by the auxiliary boiler will be
stored in an 80,000 barrel storage tank. Some hydrocarbon vapors will
escape as a result of tank loading and storage losses.
Other minor emissions include the emergency diesel generators. Due
to the fact that their use is for emergencies only, emissions will very
seldom occur. Exhaust from vehicle traffic on the site constitutes
another minor source of emissions.
4.2-6
-------
Table 4.2-1
Nitrogen Oxides Emissions vs. Boiler
Operating Level
Operating Nitrogen Oxides
Level Emissions
(Percent) (lb/106 Btu)
30 0.20
50 0.30
70 0.40
100 0.55
110 0.60
Note: Federal New Source Performance Standard = 0.70 lb/10 Btu
4.2-7
-------
4.3 DIFFUSION MODELS
4.3.1 Introduction
Recent publications issued under the auspices of the U.S. Environ-
mental Protection Agency (1977a, 1977b) contain the conclusion that
Gaussian diffusion modeling is generally considered a state-of-the-art
method for both single and multiple emission source evaluations in areas
which are not dominated by peculiarities in terrain or other factors
which might produce atypical dispersion patterns. The word Gaussian
refers to the statistical distribution of pollutant concentrations about
a plume centerline; a distribution with a well-defined analytical
expression which can be applied readily to the calculation of pollutant
concentrations so long as values for each variable in the expression are
available. All models applied in evaluating the air quality impact of
the Independence Steam Electric Station are basically Gaussian models.
In Gaussian models, pollutant concentration is a function of trans-
port by the mean wind speed and diffusion in both the crosswind (hori-
zontal) and vertical directions. Diffusion refers to the spread of a
plume from a region of high concentration at the plume centerline to
regions of lower cencentration farther away from the centerline. In the
programs employed for this study, the variation in concentration from
the plume centerline outward is defined by the Gaussian statistical
distribution. The basic equation which specifies the concentration at
ground level resulting from the emissions of an elevated point source
is:
X =
where,
o
X = ground level concentration, yg/m
Q = pollutant emission rate, g/s
y = crosswind (horizontal) distance from the plume centerline, m
H = effective stack height (physical stack height + plume rise), m
4.3-1
-------
u = mean wind speed, m/s
a = standard deviation of plume concentration distribution in the
crosswind (horizontal) direction, as a function of atmospheric
stability and downwind distance, m
a = standard deviation of plume concentration distribution in the
vertical direction as a function of atmospheric stability and
downwind distance, m
TT = 3.14159
This formulation stems from several important assumptions:
0 There is total reflection of the plume at the earth's surface,
and none of the material emitted is lost by chemical trans-
formation, deposition at the ground, or any other removal
mechanism. In other words, the amount of material passing
through a vertical plane of infinite size oriented perpendicular
to the wind direction is always the same regardless of downwind
distance.
0 The concentration, x» represents an average value which is ap-
propriate for the sampling time used to derive estimates of
a , and a ; x usually represents a 3- to 15-minute average
concentration.
0 The emission rate, Q, is assumed to be continuous over time so
that diffusion in the direction of transport can be neglected.
0 The material emitted is assumed to be a stable gas or a small
aerosol (less than about 20 microns in diameter) which behaves
as a stable gas and remains suspended in the air for a long
period of time. (This is similar to the assumption of perfect
reflection and no deposition.)
0 Pollutant concentrations are distributed "normally" (in the
Gaussian sense) in both the crosswind and vertical directions;
the standard deviation of plume spread is assumed to be a
function of atmospheric stability and downwind distance only.
4.3-2
-------
4.3.2 Model for Annual Concentrations
The primary program used to calculate annual average concentrations
is the Air Quality Display Model (AQDM), a model which was originally
developed for regional air quality evaluations and one which has been
widely used (U.S. Public Health Service, 1969a). The basic product of
this model is an estimate of annual arithmetic average ground level
concentrations at specified receptor points resulting from the emissions
of one or more pollutant sources.
4.3.2.1 Calculation Concepts
Calculations are based on Gaussian diffusion concepts with hori-
zontal plume spread assumed to be uniform across sectors 22.5 degrees in
width, corresponding to 16 compass directions (N, NNE, NE, E, etc.).
This assumption is based on the reasonable expectation that over an
annual period discrete wind directions within any given sector will
occur with equal frequency. In actual practice, this assumption would
result in discontinuities in calculated concentrations at sector bound-
aries; therefore, a modification is inserted which provides for linear
interpolation of concentrations between sector centerline values. The
concentration at a given receptor is thus composed of contributions from
both the sector containing the receptor and the nearest adjacent sector.
Under this linear crosswind distribution modification, the form of
the standard Gaussian equation for ground level concentrations resulting
from an elevated source becomes:
X - 2 ' ™! Q (C-^/C exp [-1/2 (Jl )2]
uaz S2v (2 X/16) az
where,
x = annual average ground level concentration, yg/m
Q = pollutant emission rate, g/s
c = width of a sector (centered at the emission source) at the
receptor location, m
4.3-3
-------
y = crosswind distance between the receptor and the sector center-
line, m
u = wind speed, m/s
o = standard deviation of plume concentration in the vertical
direction as a function of stability and downwind distance, m
X = downwind distance, m
H = effective stack height, m.
This equation is referred to as the univariate form of the Guassian
distribution, since plume spread in the Gaussian sense (the familiar
bell shape) is permitted only in the vertical dimension and not in both
the vertical and horizontal (crosswind) dimensions.
A further modification is made to account for the presence at some
elevation above ground of a stable layer which acts as a cap to prevent
any further dispersion in the vertical direction. A plume having
reached this cap will be reflected downward so that at some distance
from the emission source the plume will be uniformly mixed from the
ground to the top of the mixing layer. The equation for ground level
concentrations after uniform mixing occurs can be simplified to the
following form:
- IP6 Q (c-y)/c
x " Lu (2ir X/16)
where L is the mixing layer height (m) and all other variables are as
previously defined. Concentrations are calculated using the univariate
Gaussian equation out to a distance X. at which a = 0.47 L. (At this
distance, pollutant concentration at the top of the mixing layer will be
one-tenth that of the plume centerline concentration.) At distances
beyond 2 X. , the limited mixing equation is used. At intermediate
distances, concentrations are calculated by linear interpolation between
the concentration at X, and the concentration at 2 X. . If the effective
stack height is above the top of the mixing layer, the plume is assumed
to remain above the ground and no ground level concentration is calculated.
4.3-4
-------
The meteorological input required for operation of AQDM consists of
a normalized annual joint frequency distribution of wind speed, wind
direction, and atmospheric stability. Average annual mixing values are
also required. For a particular source-receptor combination, the
average annual concentration is computed by summing all individual
concentrations computed for each wind speed, wind direction, and sta-
bility class combination where each individual concentration is weighted
by the frequency of occurrence of each combination. The general com-
putational formula is therefore:
F (e,u,s) • x(e,u,s)
x eus
where,
F (e,u,s) = annual frequency for joint combination of wind
direction sector e, wind speed class u, and
stability class s.
The total concentration at a specific receptor is obtained by
summing the results obtained by the procedure above for all emission
sources.
4.3.2.2 Mixing Height
A modification of the original AQDM program was made in the treat-
ment of mixing height in recognition of the higher than average height
at which emissions will be released. In the original program, a mixing
height of 100 meters is assumed for all Class E occurrences. With a
stack height of over 300 meters, this would mean no ground level con-
centrations calculated for stable (E) cases. The program was modified
to allow specification of any desired mixing height value to be as-
sociated with Class E rather than a fixed value of 100 meters. Other
than this modification, mixing height is treated the same as in the
original program. An annual average afternoon mixing height, typically
taken from Holzworth (1972), is used for Class B and C calculations.
This afternoon value is multiplied by a factor of 1.5 for Class A
calculations. A separately assigned mixing height, which can be equi-
valent to Holzworth's annual average morning mixing height or any other
4.3-5
-------
value lower than the afternoon mixing height, is used for Class E. For D
stability, 60 percent of the occurrences of this class are associated
with the afternoon mixing height value, and the other 40 percent with a
mixing height which is intermediate between the afternoon value and the
lower Class E value. This 40 percent represents the transition between
daytime neutral (Class D) conditions and nighttime stable (Class E)
conditions.
4.3.2.3 Plume Rise '
Another modification introduced in the current application of AQDM
is substitution of Briggs' (1971, 1972) plume rise equations for the
original Holland equation. Using the Briggs method, plume rise is
calculated as follows:
For unstable or neutral conditions, the plume rise, Ah, is calcu-
lated as:
*, *
when X <3.5 X (where 3.5 X is the distance to the point of final
plume rise),
Ah = 1.6
*
when X _> 3.5 X ,
Ah = 1.6 F1/3 (3.5 X*)2/3 .
u
For stable conditions, plume rise is calculated as:
for normal wind speeds and X > X.r ,
Ah = 2.4 ( £s )1/3 ;
for very light wind speeds and X > X. ,
Ah-BF1'4 ;
s3/8
for X £ Xf ,
Ah=1.6F1/3X2/3,
if this value of Ah is less than the value computed when X > Xf;
otherwise, Ah is set equal to the value computed when X > Xf.
4.3-6
-------
The symbols used in these expressions have the following definitions:
9 Vf ( VT } m4/s3
F = buoyancy flux = -^- —^ ' m /s
_p
s = stability parameter = c[ de/dz, sec
T
X* = distance at which turbulence begins to dominate, m
= 14 F5/8 for F < 55
= 34 F2/5 for F >_ 55
Xf = distance to final plume rise for stable conditions, m
= TTU_
SV2'
and
2
g = acceleration due to gravity, 9.8061 m/s
T = ambient temperature, °K
T = stack gas temperature, °K
u = wind speed, m/s
3
Vf = stack gas volumetric flow rate, m/s
X = downwind distance from source, m
de/dz = potential temperature lapse rate, °K/m
= 0.02 for Class E
= 0.035 for Class F
TT = 3.14159
Briefly summarizing, at some point downwind of an emission source
it can be assumed for practical purposes that the centerline of the
plume levels off and remains at a constant height above the ground (over
level terrain). This final plume rise is calculated by one formula for
unstable and neutral conditions and by another formula for stable con-
ditions. At distances prior to the point at which final plum occurs,
plume rise is calcuated by the same formula for all stabilities; how-
ever, calculation of the distance to the point of final plume rise is
dependent on stability. The value of plume rise calculated at distances
less than the distance of final plume rise is compared with the final
plume rise value, and the lower of these two values is used for further
computations.
4.3-7
-------
4.3.2.4 Meteorological Input
Primary meteorological information needed for the AQDM model con-
sists of a joint frequency distribution of wind direction, wind speed,
and stability class. Wind direction is specified as one of 16 sectors
22.5 degrees in width. Wind speed is divided into six categories with
the following upper and lower limits: 0-3, 4-6, 7-10, 11-16, 17-21,
>21 knots. A representative speed within each category is used for
computation purposes, namely, the metric equivalent of 1.3, 4.8, 8.7,
13.5, 18.7, and 23.3 knots. Stability class can be one of five values
corresponding to the Pasquill classes A (extremely unstable), B (un-
stable), C (slightly unstable), D (neutral), and E (stable).
As previously stated, the required joint frequency distribution was
derived from Little Rock surface observations made over a 10-year period
from 1955 to 1964. The well-known STAR method, based on techniques
proposed by Turner (1964), was used to develop distribution tables.
These tables are reproduced as Tables 4.1-3 through 4.1-10. The tables
supplied by the National Climatic Center have stable cases split into
three classes (E, F, and G). For computation purposes, all stable cases
are lumped into one class (E). The resulting stability class distribution
for the 10-year Little Rock data set is as follows:
Class Percent Frequency
A 0.6
B 6.0
C 13.3
D 43.6
E 36.5
The relative infrequency of extremely unstable occurrences (Class A) is
a characteristic result of the STAR method but is certainly not in-
appropriate for tall-stack, elevated plume modeling. The existence of
an extremely unstable condition is basically a near-surface phenomenon,
and its occurrence at the effective height of a buoyant plume emitted
from a 1000-ft stack would be a rare event. In fact there is some
' 4.3-8
-------
question if such conditions would ever persist at this elevation for a
long enough time (more than a few minutes) to be accurately modeled.
4.3.3 Models for 24-Hour and 3-Hour Concentrations
Ambient concentrations for 24-hour and 3-hour averaging periods
were estimated primarily through use of the CRSTER program developed for
USEPA and recommended for application to single-source modeling eval-
uations (USEPA, 1977a). This model incorporates Gaussian diffusion
concepts similar to those discussed above and calculates ground level
concentrations using hourly values of meteorological variables. The
Briggs equations previously discussed are used to compute plume rise.
The equations for calculating concentrations under limited mixing
conditions differ somewhat from those discussed in connection with the
AQDM model. The top of the mixing layer is treated as a reflecting
boundary so that multiple reflections of the plume occur between the
ground and the mixing layer boundary until at some distance downwind of
the source uniform vertical concentration within the mixing layer is
achieved. The equations used to calculate ground level concentrations
under this approach are as follows:
if a <_ 1.6L,
X =
if az > 1.6L,
X =
where all variables are as previously defined. The summation term is
continued until the contribution from the next two terms is less than
3
0.01 s/m , or to a maximum of 45 iterations.
Concentrations for 24-hour averaging times are determined by con-
sidering successive midnight-to-midnight periods. The concentration at
each receptor is simply the average concentration obtained by summing up
the concentration obtained from each hourly observation and dividing by
10
tra
J
6Q
a U
y z
io6q
^ r,
exp [-
ex
i ii
1
2
P
(*-)
°y
[4
J-
n=-°°
£->
y
exp [-2 (
2]
h+2nl_
o
z
4.3-9
-------
the total number of hours. Three-hour concentrations are obtained in a
similar manner. Concentrations are calculated for each successive 3-hour
block within the basic midnight-to-midnight time period. In this way
eight 3-hour concentrations are obtained for each complete day of data.
The latest version of the CRSTER program is described in a recent
publication (USEPA, 1977c). The version used for analyzing projected
emissions from the Independence site differs slightly from this published
description, primarily in terms of the available output options, but the
calculation principles are essentially identical.
4.3.3.1 Meteorological Input
The hourly meteorological input data required for the CRSTER model
must be created from two separate data base files through application of
a preprocessor program. One data base consists of hourly surface ob-
servations of wind speed, wind direction (to the nearest ten degrees),
temperature, and cloud cover specifications. Based on these data, the
preprocessor program reformats the wind and temperature and determines a
stability class for each hour based on the STAR method developed by
Turner (1964). In addition, reported wind direction to the nearest
10 degrees is randomized to the nearest degree by addition of a random in-
teger between -4° and +5°. By removing the directional bias created by
a forced reporting to the nearest 10 degrees, the wind direction ran-
domization procedure provides a means of simulating natural fluctuations
in direction which serves to adjust the instaneous (3- to 10-minute)
concentrations calculated by CRSTER to values more representative of
hourly concentrations.
The second primary data base required to execute the preprocessor
program consists of a morning and an afternoon mixing height for each
day considered. These heights are determined from twice-daily upper air
soundings using the Holzworth method (Holzworth, 1972).
From these morning and afternoon mixing heights, a mixing height
for each hour is assigned based on an interpolation technique. Actually
two techniques are used, one for urban sites and one for rural sites.
Only rural mixing heights were considered in the Independence site
4.3-10
-------
analysis. The following narrative taken from the CRSTER User's Manual
(USEPA, 1977c) describes the method used to calculate both rural and
urban mixing heights.
"The method by which hourly mixing heights are determined is
depicted schematically in [Figure 4.3-1]. The procedure uses
values for the maximum mixing height (MAX) from the previous day
(i-1), the computation day (i) and the following day (i+1) and for
the minimum mixing height (MIN) for days (i) and (i+1). For urban
sites between midnight and sunrise under neutral stability (i.e.,
Class D), the interpolation is between MAX. , at sunset and MAX. at
1400 1ST. Under stable conditions (i.e., Class E or F), the value
for MIN. is used. During the hours between sunrise and 1400 1ST,
if the stability was classified as neutral in the hour before
sunrise, the earlier interpolation between MAX. , and MAX. is
continued; if the hour before sunrise was classified as stable, the
interpolation is between MIN. and MAX.. For the period 1400 LST to
sunset, the value for MAX. is used. During the hours between
sunset and midnight under neutral stability the interpolation is
between MAX. at sunset and MAX.+, at 1400 LST the next day; if the
stability is stable, the interpolation is between MAX. at sunset
and MIN.+, at midnight.
For rural sites between midnight and sunrise, the inter-
polation is between MAXi_1 at sunset and MAX^ at 1400 LST. During
the hours between sunrise and 1400 LST, if stability was classified
as neutral in the hour before sunrise, the earlier interpolation
between MAX^_, and MAX, is continued; if the hour before sunrise
was classified as stable, the interpolation is between 0 and MAX.
For the period 1400 LST to sunset, the value for MAX. is used.
During sunset to midnight, the interpolation is between MAX^ at
sunset and MAXi+1 at 1400 LST the next day."
In the actual operation of the CRSTER program, the effective stack
height (stack height plus plume rise) for any given hour is compared
with the mixing height. If the effective stack height exceeds the
mixing height, no concentration computation is made.
4.3-11
-------
It is possible for the preprocessor program, in its utilization of
the Turner (STAR) stability determination method, to compute a stability
class 7 corresponding to what might be called a Pasquill Class G - a
highly stable, ground-based nocturnal temperature inversion situation
with erratic wind flow conditions. The CRSTER program makes no attempt
to calculate a concentration for this stability condition because of the
uncertain meandering of wind direction which would be expected to occur
when this condition exists.
As many days of meteorological data as desired can be used in
running CRSTER. A typical practice is to use hourly data for the year
1964. The significance of this year is that it is the first year in
which wind direction was stored on readily available National Climatic
Center tapes to the nearest 10 degrees rather than to the nearest 22.5
degrees, and the last year in which each hourly observation was stored,
rather than observations every 3 hours. No doubt some bias is created
when any specific year is selected in preference to others, but the
large number of hourly values in any given year guarantees that a wide
range of conditions is examined regardless of the year selected.
For the Independence site study, hourly surface observations from
Little Rock for the year 1964 were used. Mixing heights for the year
1964 were taken from observations made at the Little Rock upper air
sounding station. Little Rock is the closest major surface observation
station to the Independence site (only major stations observe and record
the type of data required for the CRSTER main program and preprocessor),
and is also considered to be the most representative from a standpoint
of geographical and climatological similarities. Furthermore, Little
Rock is the only station within 200 miles or more of the Independence
site where both surface and mixing height data are available for the
same location.
4.3.3.2 Plume Rise
The CRSTER program version used in this study contains the same
form of the Briggs plume rise equations as previously described.
4.3-12
-------
4.3.3.3 Wind Speed
The raw wind speed data input to the CRSTER program are represen-
tative of conditions a few meters above ground level (usually about
7 m). The program adjusts these speeds to obtain values more represen-
tative of conditions at the top of the stack where emissions first enter
the atmosphere. This is accomplished by a power law relationship of the
form
u = UQ (h/7)p
where
u = wind speed at stack height (m/s)
UQ= wind speed near 7 m above the ground (m/s)
h = stack height (m)
p = wind profile exponent
The value of p is specified as 0.10, 0.15, 0.20, 0.25, 0.30, and 0.30
for Pasquill Classes A, B, C, D, E, and F, respectively. No adjustment
of wind direction is made.
4.3.3.4 Terrain
CRSTER allows for a simple consideration of terrain variation. For
all stabilities, plume centerline height is reduced by the difference
between receptor elevation and stack base elevation. However, when the
receptor height is above the top of the stack, making plume impaction a
possibility, this terrain correction method is not considered valid,
and no concentration calculation is attempted.
No terrain adjustment is applied to mixing height values. As the
terrain height increases, the distance between the ground and the top of
the mixing layer is assumed to remain constant.
4.3.3.5 Receptor Orientation
The receptor grid used in CRSTER is a concentric grid centered on
the emission source with receptors spaced along each 10-degree azimuth.
Through multiple program runs, as many distances can be specified along
each azimuth as are required to pinpoint maximum concentrations.
4.3-13
-------
4.3.3.6 Emission Data
The CRSTER program version used for the Independence site analysis
permits consideration of monthly variations in pollutant emission rate
but does not provide for simultaneous consideration of changes in exit
velocity and temperature which would accompany changes in emission rate.
A discussion of emission input variations used in the actual modeling
analysis appears in a later section where modeling results are presented.
4.3.3.7 Program Output
Output available from the program version used in the Independence
site analysis consists of the highest and second highest 24-hour con-
centration at each receptor and the highest and second highest 3-hour
concentration. The annual average concentration at each receptor is
also given. In addition, the day for which each 24-hour concentration
was calculated and the day and hours for each 3-hour concentration are
included as part of final output so that it is possible to go into the
meteorological input file and identify the meteorological data resulting
in highest concentrations.
Only the highest 3-hour and 24-hour concentrations are summarized
in the presentation of results below even though national ambient air
quality standards for 3-hour and 24-hour periods are stated in terms of
second highest values (values not to be exceeded more than once a year).
This in part compensates for analysis of only one year of meteorological
data.
4.3.3.8 Interpretative Remarks
The following remarks are based in part on a discussion of model
limitations contained in the CRSTER User's Manual (USEPA, 1977c).
The CRSTER program, in common with typical Gaussian models, assumes
steady-state emission and meteorological conditions. Included in these
steady-state assumptions is the assumption of a homogeneous horizontal
wind field. This assumption has less validity the greater the distance
from the emission source and the more irregular the terrain. Within
15 km of the Independence site where highest concentrations are
4.3-14
-------
calculated to occur, the terrain is relatively flat, and the assumption
of uniform wind conditions is probably a fairly good one.
Also assumed is an absence of changes in wind direction with height.
This assumption is less valid the greater the effective stack height.
The implication of this assumption for a 1000-ft stack with a large
plume rise is uncertain, but it is probable that if wind shear were
considered there would be greater plume spread and lower calculated
ground level concentrations.
The values of the dispersion coefficients 0 and a , simulated in
. CRSTER by analytical expressions segmented on the basis of downwind
distance, are the Pasquill-Gifford estimates based on measurements taken
in open, generally level terrain at points fairly near the ground.
These dispersion coefficients are less representative of conditions
affecting emissions from stacks above 100 m in height; in other words,
they are probably not independent of source height. They are also
probably less accurate at distances beyond a few kilometers from the
emission source. Furthermore, expression of discrete dispersion coef-
ficient values for a finite number of stability categories is only an
approximation of the continuum of conditions present in the atmosphere.
The CRSTER model makes no provision for chemical transformations,
deposition, or other depletion mechanisms. It is therefore not well
suited to the modeling of pollutants which quickly enter into complex
reactions when emitted into the atmosphere. It should provide an
adequate depiction of SOp behavior so long as the distances to receptors
considered do not involve excessive travel times. Suspended particulate
matter consisting primarily of particles less than about 20 microns in
diameter also fits the non-depletion assumption fairly well.
The construction of hourly mixing height values from measurements
which are taken only twice daily leads of course to values which are
only approximations of actual conditions. This constitutes an addi-
tional limitation for the model. However, sensitivity tests which have
been conducted to check the effect of changes in model input parameters
(both source terms and meteorological terms) on predicted concentrations
4.3-15
-------
indicate that the model is relatively insensitive to variations in
mixing height, particularly with regard to 24-hour averages (Tikvart and
Mears, 1976; Freas and Lee, 1976).
The CRSTER model also allows computations to be made for extremely
unstable, Class A, conditions. This is not an unreasonable procedure
when modeling the effect of emissions released from short and medium
height stacks, but the likelihood of Class A stability extending far
enough above the surface to affect a buoyant plume from a 1000-ft stack
is very remote. One of the concerns raised at the recent specialists'
conference on proposed modeling guidelines (USEPA, 1977b) was that there
is evidence indicating the a^ curve for A stability may result in
serious overestimates of short-term maximum concentrations resulting
from tall-stack emissions. However, to maintain consistency with the
form of the model recommended and previously applied in other power
plant studies, calculation of concentrations under Pasquill Class A
conditions was allowed in the evaluation of the Independence Steam
Electric Station.
4.3.3.9 Validation Studies
Validation studies of the CRSTER model have been performed at one
power plant in Massachusetts and three power plants in Ohio (Tikvart and
Mears, 1976; Lee, Mills, and Stern, 1975). Unfortunately these plants
are not directly representative of the Independence Steam Electric
Station because of differences in terrain setting and source parameters
(particularly volumetric flow and stack height). However, the results
obtained at least provide an estimate of the accuracy limitations of the
model.
Without going into great detail concerning the conduct of these
studies, the basic approach was to obtain measurements at a number of
fixed sampling sites and then compare these observations with predicted
concentrations obtained from the CRSTER model. A basic conclusion drawn
from these studies is that the model is generally accurate within a
factor of two (in line with the widely accepted accuracy limitations of
4.3-16
-------
point-source Gaussian models), but demonstrates a tendency to under-
estimate highest and second highest 24-hour and 3-hour concentrations.
4.3.4 Models To Evaluate Compliance With Arkansas 30-Minute Standards
4.3.4.1 Introduction
Experience accumulated by other utility systems, particularly with-
in the Tennessee Valley Authority (TVA) system, indicates that maximum
short-term ground level concentrations tend to be associated with two
types of atmospheric conditions: limited layer mixing (hereafter re-
ferred to as limited mixing) and inversion breakup. These conditions
are illustrated schematically in Figure 4.3-2.
Limited mixing (also referred to as trapping) is basically a mid-
morning to mid-afternoon phenomenon associated with fair skies and large
high pressure systems. Under such conditions there can often be a
stable layer aloft which traps emissions and restricts upward diffusion,
causing confinement of an elevated plume within a limited layer and
thereby leading to high ground level concentrations as the plume mixes
to the surface. Provided there is rapid enough mixing within the con-
fining layer - that is, the atmosphere below the stable air aloft has
suitable stability characteristics to promote rapid mixing - high ground
level concentrations can occur at fairly close distances to the emission
source. TVA's experience, for example, has demonstrated highest con-
centrations at distances of 3 to 10 km from tall power plant stacks
(Montgomery and others, 1973a; Carpenter and others, 1971).
Inversion breakup (also referred to as fumigation) is basically a
mid-morning occurrence, again associated primarily with fair weather
patterns. Within large air masses dominated by high pressure, a very
stable layer originating at the ground and extending several hundred
feet upward typically develops during nighttime hours. This condition
arises as a result of rapid cooling of the ground and the adjacent
atmospheric boundary layer, causing a temperature inversion - an in-
crease of temperature with height. A plume emitted into this very
stable layer can remain essentially intact with very little spread,
particularly in the vertical dimension. (A plume pattern of this type
4.3-17
-------
is often referred to as a fanning plume.) As the sun rises and the
ground surface warms, a neutral or unstable layer will eventually build
upward from the ground until reaching the embedded plume. At this point
the plume can be brought rapidly to the ground producing high concen-
trations for a short period of time generally no more than an hour in
duration. This event can occur at distances well removed from the
emission source depending upon the length of time required for the
nocturnal inversion to be eroded by daytime heating.
Estimation of 30-minute S02 and particulate concentrations associ-
ated with limited mixing and inversion breakup has been performed based
on concepts developed by TVA and the National Oceanic and Atmospheric
Administration (NOAA).
4.3.4.2 TVA Modeling Approach
The general TVA modeling methodology has been previously described
in reports submitted in applications for permits for AP&L's White Bluff
project (AP&L, 1974a; AP&L, 1974b). TVA's experience in the field of
air quality modeling and analysis covers a period of many years and has
included the assessment of many types of power generation facilities in
a variety of geographic settings. Two aspects of TVA's experience
especially significant for evaluation of the Independence Steam Electric
Station are the extensive field testing programs and analytical studies
which have been directed towards evaluation of large, tall-stack facilities
analogous to those planned for the Independence site.
Development of modeling methodologies by TVA's air quality manage-
ment staff has of course not remained static over the years, so that it
is not correct to speak of the TVA model when summarizing the extensive
experience of this organization. A number of modeling concepts and
modeling components have been considered and used for one purpose or
another. For example, at the present time, assessment of USEPA models,
particularly the CRSTER model, is being conducted (TVA, 1977). This
is in line with encouragement of greater standardization in modeling
techniques, in part to foster more common ground for comparisons be-
tween projects of a similar nature. Also, because of the standards
4.3^18
-------
applicable in states where its plants are located, TVA's major concern
when evaluating planned new projects is in evaluation of pollutant
concentrations over averaging periods of 3 hours or more, another reason
for interest in the USEPA models which are oriented toward such periods.
Another area of active development by TVA is refinement of time-depen-
dent models which can utilize frequently updated measurements from TVA's
meteorological monitoring network on a day-by-day basis to predict
concentrations which can be used as part of the sulfur dioxide emission
limitation (SDEL) program which has been implemented at some of TVA's
existing plants.
The TVA limited mixing and inversion breakup modeling approach
which has been used in evaluating the impact of the Independence Steam
Electric Station had its conceptual and empirical origins in the late
1960s and has been utilized with refinements in a variety of applica-
tions since that time. At present, these concepts are being used by
TVA's environmental planning staff in initial evaluations of new and
modified generating stations (TVA, 1977).
The basic modeling package used is presented in Table 4.3-2, in the
form of an equation with explanatory notes. Terms used are defined in
Table 4.3-1. For brevity, this package will be referred to below as the
TVA model. The term model refers not only to the basic plume rise and
dispersion equations, but also to dispersion coefficients, atmospheric
stability class designations, peak-to-mean ratios, and the method of
applying calculation expressions. The basic equations have been presented
in a number of TVA publications (Carpenter and others, 1970, 1971; TVA,
1970, 1974; Montgomery and others, 1973a;). TVA peak-to-mean ratios,
used to adjust the nearly instantaneous concentration values produced by
direct application of dispersion equations to longer averaging periods,
are from Montgomery and Coleman (1975). In addition, discussions with
TVA staff members have been held to further clarify various technical
points. It should be noted that the equation used to calculate hori-
zontal dispersion coefficients under inversion breakup conditions (Equa-
tion 8 in Table 4.3-2) is also being increasingly used by TVA to calcu-
late coefficients for limited mixing cases in place of Equation 6 in
4.3-19
-------
Table 4.3-2. Use of this alternative equation would have resulted in
lower maximum concentrations, for example, a 23 percent decrease in the
highest limited mixing concentration shown in Table 4.4-5. However, in
the interest of conservatism, only those limited mixing concentrations
obtained from use of Equation 6 are reported in this discussion.
Emission Source Characteristics
Realistic estimates of the air quality impact of the proposed
facility require not only appropriate specification of meteorological
parameters, but also definition of the most probable source character-
istics occurring simultaneously with the meteorological conditions of
interest. To this end, an assessment of plant operating levels as a
function of month and time of day was performed.
For the fifteenth of each month, the times of sunrise and sunset
were determined for the Independence site. From these times, the
release periods of emissions most likely to participate in limited mix-
ing and inversion breakup episodes were obtained. The limited mixing
episodes were regarded to range in average length from 2.5 hours in
winter to 4 hours in summer, and the time of their termination was
treated as some two hours before sunset. For a minimum limited mixing
distance of 3 to 10 km, with wind speeds in the range of 2 to 4 m/s
(worst cases), the travel time for limited mixing emissions is about
1 hour. Therefore, the termination time of emissions affected by
limited mixing was regarded to be some 3 hours before sunset, and the
onset as the termination time minus the mean duration of limited mixing
(see Figures 4.3-3 and 4.3-4).
The maximum concentration from inversion breakup results from
emissions occurring when the inversion has been dissipated to stack
height but the plume is still emitted into a stable layer (Turner,
1970). The time required for insolation to produce this condition is
variable depending on season and cloud cover. The emissions for each
month resulting in maximum inversion breakup concentrations were ob-
tained by centering a 1 1/2 hour period upon the time 2 hours after sun-
rise (see Figures 4.3-3 and 4.3-4).
4.3-20
-------
Load factor curves used for these analyses were the monthly system
peak days for August and December 1973 and January and February 1974.
These are projected to be representative of summer and winter maximum
load profiles. The January 1974 curve exhibited the highest mean load
of the three winter maxima, and therefore was used for subsequent cal-
culations.
The summer maximum profile was used to represent daily variations
for the months April through September, and the winter maximum profile
was used for the months October through March.
Load factors applicable to limited mixing and inversion breakup
diurnal emission periods were obtained from the diurnal load profiles in
conjunction with mean monthly load factors shown in Table 4.3-3. The
procedure used can be illustrated by considering the month of January.
An average system load value was obtained from the January diurnal curve
(Figure 4.3-3) by arithmetic averaging of each hourly load level. This
results in an average of 1710 MW which is assumed to correspond with the
mean monthly load factor of 0.59 (equivalent to an operating level of 59
percent). Next, an average system load of 1900 MW during the inversion
breakup emissions period and an average load of 1950 MW during the
limited mixing emissions period were determined using an equal areas
graphical method. The ratio of 1900:1710 multiplied by the mean monthly
load factor of 0.59 gives an inversion breakup load factor of 0.66. The
ratio 1950:1710 similarly applied gives a limited mixing load factor of
0.68. Load factors for each month were determined in this manner.
This method of treating site emissions as a function of month and
time of day provides a means of matching probable emission character-
istics with variations in meteorological conditions, which is more
realistic than assuming that peak emissions are always in effect.
However, for comparison purposes, calculations based on peak emission
characteristics have also been made as reported in a later section.
Variations in stack exit characteristics were available only for
selected operating levels within the range 30 to 110 percent. From these
values, exit characteristics for each 10 percent increment were created
4.3-21
-------
by interpolation (Table 4.3-4). For each inversion breakup and limited
mixing load factor Tying intermediate between 10 percent levels, a
probabilistic treatment was used to obtain appropriate stack character-
istics. For example, the load factor relevant to the limited mixing
phenomenon in the month of August was determined to be 1.09. This was
treated as 90 percent of the time at the load factor 1.10 and 10 percent
of the time at load factor 1.00. The 4-hour period of limited mixing
emissions in August was assumed to have this distribution. Because each
monthly value is intermediate, each month had to be treated in this
manner for both inversion breakup and limited mixing.
Meteorological Input Data and Selection Criteria
One of the basic objectives in selecting meteorological data was to
duplicate as near as possible the range and frequency of conditions to
which a plume emitted at the Independence site from a 1000-ft stack
would actually be exposed. It is of interest to consider hypothetical
worst-case meteorology as well, but the greater concern is to simulate
conditions which are known to have occurred based on historical data and
therefore have a reasonable probability of recurring. Allied with this
objective is the objective of matching the monthly and, if possible,
diurnal variations in plume characteristics with most probable con-
current meteorological conditions. For example, if peak emissions occur
most often during a particular season at a particular time of day, it is
reasonable to evaluate the impact of these emissions using meteorological
data charateristic of the applicable season and diurnal period. In
applying the TVA (and NOAA) models to assessment of maximum 30-minute
concentrations, the time periods of concern are those associated with
inversion breakup and limited mixing conditions. Assignment of emission
characteristics for these periods is discussed above. Specification of
meteorological factors is the subject of the following paragraphs.
To obtain the upper air meteorological data needed for computer
modeling, each of the twice daily rawinsonde balloon soundings made at
Little Rock (Adams Field) during the period 1966 to 1970 was analyzed.
Sounding data are available in tape form, and an automated method has
4.3-22
-------
been developed to process these data without the need for laborious
manual examination of each sounding as plotted on a thermodynamic
diagram. This data reduction method is described more fully in
Section 4.3.4.4.
Limited Mixing Case
For the purpose of investigating conditions resulting in limited
mixing, afternoon soundings were examined. Afternoon balloon ascents
are taken at a nominal time of 0000 Greenwich Mean Time (GMT), or 1800
Central Standard Time (CST). However, the actual balloon release time
is about 1715 CST because the entire rawinsonde run requires about 1 1/2
hours. As a result, the lowest 10,000 feet of the atmosphere are tra-
versed by about 1730 CST. This is particularly advantageous for the
investigation of limited mixing conditions. In the summer, this prob-
ably represents a time less than 1 hour after termination of limited
mixing. In the winter, it is less than 2 1/2 hours after limited mixing
has occurred. For such short time lags, no drastic changes aloft would
be expected on the stationary weather pattern days associated with worst
limited mixing cases.
The first condition sought on each 0000 GMT sounding was the
presence of an inversion or isothermal layer between the top of the
stack and 700 mb, a pressure level which is usually found at about
10,000 feet above the surface. A further check is made to see if the
layer below the lid has stability characteristics suitable to produce
vigorous mixing. (This is further discussed below.) If a mixing lid is
not found or there is no indication of sufficient mixing below the lid,
no further data are obtained and the next sounding is examined. For
those cases meeting the selection criteria, the following items are
extracted or calculated for further processing:
1) Date
2) Change of potential temperature (de/dz) from stack height
level to the top of the mixing layer (°K/100m)
3) de/dz from the top of the mixing layer to 30 mb above the
top of the mixing layer
4.3-23
-------
4) Mean wind speed within the mixing layer
5) Resultant wind direction within the mixing layer.
Before making concentration calculations utilizing the TVA equa-
tions presented in Table 4.3-2, the following criteria and adjustments
were applied:
1. Stability within the mixing layer - The concept of limited
mixing entails thorough mixing of a plume beneath a capping
layer. For this to happen within the relatively close dis-
tances of 3 to 10 km where highest concentrations have been
.observed to occur, this mixing must be fairly rapid, implying
that the stability of the atmosphere from the top of the stack
to the top of the mixing layer should be no more stable than a
neutral condition. As an initial approach, therefore, a de/dz
value of 0.135 °K/100 m, intermediate between the TVA neutral
and slightly stable mid-point values (see Table 4.3-5), was
used as a cutoff point. For potential temperature lapse rate
greater than this value, rapid mixing would not be expected.
However, as a more conservative check for comparison purposes,
an upper cutoff of 0.455 °K/100 m (intermediate between TVA
slightly stable and stable classes) was also considered.
2. Stability within the mixing lid - Because limited mixing
requires capping by a stable layer to prevent vertical (up-
ward) diffusion and to limit the vertical growth of the mixing
layer, a minimum stability (de/dz) in the mixing lid was
specified. For each sounding, a search was first made for a
layer at least 30 mb thick (approximately 1000 ft) with a do/dz
value of 1.0 °K/100 m or greater, corresponding to the TVA
isothermal stability class. If no such layer was found below
700 mb, a layer with a de/dz value of at least 0.64 °K/100 m
(TVA stable class) was considered to satisfy the necessary
capping lid stability requirement.
3. Minimum wind speed - At very low wind speeds, the fluctuation
of wind direction is so great that high ground level
4.3-24
-------
concentrations would not be expected. When the mean wind
speed in the mixing layer was less than 2 m/s, no calculation
was made.
4. Plume penetration - As a conservative initial approach in eval-
uating SCL associated with mean monthly, rather than peak,
operating levels, a plume was considered to participate in a
limited mixing episode if the level defined by stack height
plus 70 percent of final plume rise was at or below the top of
the mixing layer. In other words, a sizable portion of the
plume (all of that above the plume centerline and also that
from the centerline downward to a height 30 percent of plume
rise below centerline) could penetrate through the top of the
mixing layer and all of the plume would still be considered as
contributing to limited mixing concentrations. Furthermore,
no minimum mixing height was specified even though TVA's
experience indicates that limited mixing cases typically occur
with mixing heights at least 760 m above ground level (Car-
penter and others, 1971; Montgomery and others, 1973a). When
evaluating highest S0? emissions, those associated with peak
operating levels, an approach more in line with TVA recom-
mendations for evaluating maximum limited mixing concentra-
tions was used (TVA, 1977). TVA evaluates worst case concen-
trations by establishing mixing heights below which the entire
plume is located. Actually a more conservative approach than
this was taken in evaluating highest S0? emissions from the
Independence Steam Electric Station by allowing limited mixing
calculations to be made whenever the final plume centerline
height was at or below the mixing height. This still permits
a significant portion of the plume to penetrate through the
mixing layer and yet be considered for calculation purposes.
Also, because the model was set up to make calculations for
the nearest 10 percent operating level increments below and
above the monthly mean, peak operating level limited mixing
calculations were actually made for the summer months (when
4.3-25
-------
the mean operating level is above 100 percent) with the 70
• percent plume penetration assumption in effect. This conser-
vative procedure has an important bearing on the maximum
concentration predicted by the TVA model.
In addition to these criteria applied to the upper air data, others
were applied to surface observations in order to ascertain whether
limited mixing could have occurred. Limited mixing generally occurs
under anticyclonic flow with subsidence aloft. Such conditions produce
relatively cloud-free skies, strong insolation, and a lid to vertical
mixing (Carpenter and others, 1971). If the sky conditions are such
that surface insolation is strongly inhibited, vigorous mixing in the
vertical will not be generated. Even though rawi'nsonde data may exhibit
conditions satisfying the upper air criteria, limited mixing may be
impossible. One example of such an instance would be a day on which
thunderstorms and rainshowers were occurring for most of the day, there-
by creating a conditionally unstable sounding, but otherwise eliminating
limited mixing conditions.
The period of interest for determining whether limited mixing could
have occurred on the basis of surface data was defined to be the 6-hour
period ending one hour prior to the end of the occurrence of limited
mixing (as a function of month). The exclusion criteria adopted for
limited mixing are as follows:
1. Cloud conditions - If either (a) an overcast deck below 12,000
feet, or (b) a broken deck below 12,000 feet with a rate of
change of surface temperature with time less than 1.5°F per
hour persisted for 5 hours of the period, limited mixing was
excluded (Montgomery and others, 1973b).
2. Precipitation - If precipitation was occurring for at least
two hours during the period, limited mixing was excluded.
3. Frontal passage - If a frontal passage occurred during the
period, limited mixing was excluded.
4.3-26
-------
4. Diurnal surface temperature variation - If the difference
between the minimum and maximum temperatures for the day was
less than 11°F, limited mixing was excluded (Montgomery and
others, 1973b).
5. Maximum temperature - If the maximum temperature for the day
exceeded 92°F, limited mixing was excluded (Montgomery and
others, 19735).
Inversion Breakup Case
Morning rawinsonde soundings, made at a nominal time of 1200 GMT
(0600 CST), were used as the basis of assessing the effects of inversion
breakup. The 0515 CST release is advantageous for the investigation of
inversion breakup because the ultimate stabilization of the atmosphere
due to ground radiation in the layer of interest should be present by
this time during each season. From each 1200 GMT sounding the following
data were extracted for further processing:
1. Date
2. Surface pressure (mb)
3. de/dz from stack height level to 40 mb above stack height
4. Mean wind speed within the surface to 40 mb above the stack
5. Wind direction at first level below 40 m above stack height.
Calculations were made using the equations set forth in Table 4.3-2.
The de/dz used in the plume rise and dispersion equations was defined
over the layer from stack top to 2000 feet above ground level. The
same de/dz was used in the calculation of the minimum inversion breakup
distance. Only two restrictions were applied. First, the minimum
permitted mean wind speed in the layer of interest was 1.5 m/s. At
lower wind speeds, the meander of wind direction renders inversion
breakup at any one point extremely transient. Second, if de/dz was less
than 1.0 °K/100 m, no calculations were made. This requires that there
be at least an isothermal layer present if not an actual inversion
layer.
In addition to the criteria which were applied to the upper air
data, surface data conditions were also considered in order to determine
4.3-27
-------
whether inversion breakup could have occurred. An inversion breakup
fumigation occurs when a plume which is initially expelled into a stable
atmosphere is dispersed to the ground as a result of thermally induced
mixing, with light to moderate wind speeds (TVA, 1970). The plume rise
is inhibited because of the stability of the atmosphere, as are the
vertical and horizontal diffusion of the plume, thereby resulting in
high contaminant concentrations when the plume is brought to the sur-
face. If strong insolation at the surface is prevented or substantially
delayed by cloud cover, fumigation cannot take place.
The period of interest for determining whether inversion breakup
could have occurred on the basis of the surface data was defined to be
the 5-hour period following sunrise. The exclusion criteria adopted are
as follows:
1. Cloud conditions - If either (a) an overcast deck below 12,000
feet, or (b) a broken deck below 12,000 feet with a rate of
change of temperature with time less than 1.5°F per hour,
persisted for 4 hours of the period, inversion breakup was
excluded (TVA, 1974).
2. Precipitation - If precipitation was occurring for at least 2
hours during the period, inversion breakup was excluded.
3. Frontal passage - If a frontal passage occurred during the
period, inversion breakup was excluded.
Additional Calculations
The 5 year Little Rock upper air data base constitutes a repre-
sentative portrayal of atmospheric conditions likely to affect the
Independence site during periods of limited mixing and inversion break-
up. For comparison purposes, however, some assumed meteorological data
were also considered based on those suggested by TVA (Montgomery and
others, 1973a; TVA, 1977). Conditions assumed for limited mixing are as
follows: de/dz (used to calculate plume rise) =1.15 °K/100m; wind speed
= 3 m/s; mixing height = 762 m or the top of the plume, whichever is
greater; downwind distance = 3 km. For inversion breakup, the same
values of de/dz and wind speed are used as for limited mixing.
4.3*28
-------
Plume Rise
The plume rise equation used, with symbols as defined in Table 4.3-1,
is as follows:
Ah
= (114) (CC) F1/3u"]
This is the form of the plume rise equation as presented in Carpenter
and others (1971) and Montgomery and others (1973a). The importance of
the equation in this form is not just in the way plume rise is cal-
culated but in how this method of calculation fits together with other
components of the modeling approach. There are, of course, many other
'ways of predicting plume rise, including other expressions which have
been developed by TVA (e.g., Montgomery and others, 1972). The objective
in using the equation shown above is to remain consistent in major
respects with the overall modeling approach which has been selected as
representing a TVA-developed evaluation of maximum concentrations under
limited mixing and inversion breakup conditions.
In order to provide an alternative approach to calculation of
30-minute concentrations, Briggs1 plume rise equations have also been
applied, as part of the NOAA model to be described later. In comparing
results obtained from use of the TVA and Briggs plume rise equations, it
can be shown that the TVA equation predicts much higher plume rise with
very light winds (<3 m/s) and stable conditions, comparable plume rise
with moderate winds and stable conditions, and lower plume rise with
high winds and stable conditions and with neutral and slightly stable
conditions at all wind speeds. Again, however, the TVA plume rise
equation should be considered for this evaluation as part of a total
modeling approach rather than as an isolated segment.
Another point to bear in mind, with regard to limited mixing, is
that plume rise does not appear explicitly in the calculation equation.
Instead, mixing height is used. Plume rise serves only as a check to
determine if a sufficient portion of the plume is beneath the top of the
mixing layer.
4.3-29
-------
Stability Classifications and Dispersion Coefficients
The field work which has been conducted by TVA on tall stacks in-
dicates that atmospheric stability at these heights varies from neutral
conditions to the extremely stable conditions associated with intense
inversions. For descriptive and computational purposes, the continuum
of stability over this range has been separated into six discrete cate-
gories, analagous to the way in which stability has been stratified for
many modeling studies on the basis of Pasquill classes. TVA stability
classes are defined on the basis of the change in potential temperature
with height (de/dz). The average de/dz value for each class is tabu-
lated in Table 4.3-5. For example, a de/dz value of 1.0 °K/100 m de-
fines the class labeled as isothermal, and a value of 1.36 °K/100 m
defines the moderate inversion class.
For each stability class, curves have been developed on the basis
of empirical studies giving the value of horizontal standard deviation
of plume distribution (a ) and vertical standard deviation of plume
«/
distribution (a ) as a function of downwind distance from an emission
source. These curves are reproduced in Figure 4.3-5. Not surprisingly,
comparison of these curves with the familar Pasquill-Gifford (P-G)
curves (which were developed for fairly low emission sources) displays
several differences when looking at stability classes which can be
considered as basically similar. Of particular significance, the TVA
a and o values for isothermal and moderate inversion classes are lower
than those for Pasquill Class E at distances beyond 2 km.
The significance of this difference relates to the TVA model's
assumption that plume spread under limited mixing conditions is governed
by a stability between the isothermal and moderate inversion classes
equivalent to a potential temperature gradient of 1.15 °K/100 m. There-
fore, even though the limited mixing concept entails vigorous mixing of
a plume within a layer no more than slightly stable, the coefficients
used to model this mixing are restricted to those of a much more stable
atmosphere, thereby introducing a conservative element into the com-
putation of limited mixing concentrations.
4.3-30
-------
Peak-to-Mean Concentrations Ratios
The concentrations produced by direct application of the basic TVA
equations are peak concentrations valid for an averaging period of about
3 to 5 minutes. To convert to longer time periods, a peak-to-mean ratio
factor is needed. TVA has developed such factors based on field mea-
surements made at the Paradise Steam Plant (Montgomery and Coleman, 1975;
Montgomery, Carpenter, and Lindley, 1971.) The procedure followed was
to take 5-minute average measurements at various sampling points and
compute 1-hour, 3-hour, and longer period concentrations from the 5-min-
ute samples. Ratios between the computed average concentrations and the
peak measured concentrations were then determined. Results are expressed
in terms of percentile values, i.e., the peak-to-mean ratio which exceeds
99 percent of the computed values, 95 percent of the computed values,
etc. TVA recommends using the 95th percentile ratio for modeling purposes
(TVA, 1977). In evaluating the Independence Steam Electric Station, a
peak-to-mean ratio of 1.2 was used to convert to 30-minute concentrations
and a ratio of 1.8 to convert to 3-hour concentrations. (3-hour averages
relate to limited mixing conditions only.)
Although the Paradise Plant monitoring program was not set up to
identify separate peak-to-mean ratios for limited mixing, coning, and
inversion breakup occurrences, the clustering of monitoring instruments
at distances less than 10 km suggests that the results are less likely
to apply to inversion breakup cases. Use of a 1.2 factor for conversion
of inversion breakup calculations to 30-minute concentrations is pro-
bably an overly conservative adjustment, particularly for emissions from
a 1000-ft stack where the resulting ratio of 30-minute to shorter term
concentrations is less likely to be near unity than is the case for the
lower stack emission sources around which most measurement programs have
been conducted.
4.3.4.3 NOAA Modeling Approach
The equations making up what is here called the NOAA model are
presented in Table 4.3-6 with terms used defined in Table 4.3-1. The
4.3-31
-------
source of dispersion equations, diffusion coefficients and peak-to-mean
ratios is Turner (1970). The plume rise equations are those of Briggs
(previously referenced in the discussion of annual average modeling).
The auxiliary equations needed to calculate the distance at which max-
imum inversion breakup concentrations occur are from Pooler (1965). The
method of calculating minimum limited mixing distances is that used in
the Southwest Energy Study (NOAA, 1972), which is more conservative than
that found in Turner. Stability classes were determined using the
Nuclear Regulatory Commission dT/dz criteria (USNRC, 1972) shown in
Table 4.3-5. The upper air and surface exclusion criteria used with the
TVA model-were also used with the NOAA model, the only change being that
a dT/dz value of -0.5 °K/100 m (equivalent to a de/dz of 0.48) was used
as a cutoff point in deciding if inversion breakup conditions were
present.
Differences between the TVA and NOAA models as used in this study
include the form of the equations applied and the way in which some of
the equation variables are developed. Two major differences are as
follows:
1. The NOAA model computes a distance at which maximum limited
mixing concentrations occur, whereas with the TVA model dis-
tances are specified as input data.
2. For limited mixing episodes, the TVA model calculates o and
J
a using a de/dz value of 1.15 °K/100 m (equivalent to a very
stable condition). The NOAA model takes the change in tem-
perature with height as determined from rawinsonde soundings
and uses this temperature gradient to compute a and a
values. Therefore, because of the selection criteria imposed
to determine if sufficient mixing is present in the mixing
layer, the stability conditions from which NOAA a and a
values are produced are less stable than that used in the TVA
model.
The emission source characteristics used in both the TVA and NOAA
models are the same. Plume penetration for limited mixing cases was
4.3-32
-------
handled in the same way, and the same meteorological data set and data
reduction methods were used.
4.3.4.4 Rawinsonde Data Reduction and Utilization
Data Input
Upper air soundings are taken twice daily at a number of rawinsonde
stations throughout the country. Nominal observation times are 1200 GMT
and 0000 GMT. Data transmitted from the balloon-borne instrument pack-
age and recorded by ground tracking facilities are transcribed to data
tapes maintained in the archives of the National Climatic Center and
"available for purchase by the general public^
Recorded data are stored in what is called TDF 56 Format. This
format provides for documenting information at up to 79 different height
levels beginning with the surface. At some stations, including Little
Rock, data are available for both standard and significant levels, where
"significant" refers to significant changes in temperature or humidity.
For each standard level, measurements of height (geopotential meters),
temperature (°C), relative humidity (%), wind direction (degrees), and
wind speed (m/s) are recorded. The standard levels through 700 mb are:
surface, 1000 mb, 950 mb, 900 mb, 850 mb, 800 mb, 750 mb, 700 mb. For
significant levels, temperature and relative humidity are recorded, and
in some cases wind direction and wind speed.
Data Processing and Output
Limited Mixing
For limited mixing, the 0000 GMT sounding is used. A typical
limited mixing case, as plotted on a temperature-pressure diagram, is
shown in Figure 4.3-6. The processor program which extracts required
data from the upper air tape first requests a stack height value in
meters. This height is then converted to a pressure in millibars. The
following steps are then taken:
1. Check to see if the stability in the immediate layer from the
top of the stack to 15 mb above the top of the stack is too
4.3-33
-------
stable to allow a plume penetrating this layer to return to
the ground. If this layer is too stable, no further process-
ing of that sounding is completed.
2. Check to find a suitably stable layer to serve as the mixing
layer cap. Initially a search is made for a layer at least 30
mb thick in which de/dz is 1.0 °K/100 m (TVA isothermal class)
or greater. Temperatures and heights for 30 mb intervals are
obtained from successive measurement levels by log-linear
interpolation. If no layer meeting this criterion is found,
another search is made to see if a 30 mb layer with a de/dz of
0.64 °K/100 m exists. If so, this less stable layer is used
as a mixing cap.
3. Check to see if the stability between the cap and the stack
top is sufficient to promote mixing. This is done by com-
paring the actual de/dz in this layer with a selected value.
In evaluating the Independence Steam Electric Station, values
of 0.135 and 0.455 °K/100 m were used as selection criteria.
If the actual value is greater (more stable) than the selected
value, limited mixing is assumed not to occur and no further
processing is completed.
4. If all previous tests have been satisfied, mean wind speed and
resultant wind direction from the surface to the top of the
mixing layer are computed.
For days on which limited mixing is judged to occur, the output of
the meteorological data processor program is the mixing height (level at
which the top of the mixing layer is found), de/dz within the capping
layer, de/dz from stack top to the top of the mixing layer, mean wind
speed and resultant wind direction within the mixing layer. The TVA
model uses these output data directly for all calculations. The NOAA
model conyerts de/dz in the mixing layer to dT/dz prior to calculating
plume rise and diffusion coefficients.
4.3-34
-------
Inversion Breakup
For inversion breakup, the 1200 GMT sounding is used. A typical
inversion case, as plotted on a temperature-pressure diagram, is shown
in Figure 4.3-7. Very few operations are performed on the sounding data
for further use in making inversion breakup calculations. A log-linear
relationship between pressure and temperature is used to calculate
temperature at the top of the stack and at 40 mb (approximately 1000
feet) above the top of the stack. These temperatures are then converted
to a de/dz value for the 40 mb layer. The wind direction at the first
recorded level below 40 mb above the stack and the mean wind speed
between the surface and 40 mb above the stack are also determined.
The TVA model takes these data and computes an inversion breakup
concentration whenever d /dz is greater than or equal to 1.0 °K/100 m
and mean wind speed in the layer of interest is greater than or equal to
1.5 m/s. With the NOAA model, de/dz is converted to dT/dz and a check
is made to see that dT/dz is greater than -0.5 °K/100 m. If dT/dz is
lower than this value, this is considered a demonstration that an inver-
sion breakup situation will not occur and no calculation is made. (In
the stability typing scheme used with the NOAA model, a change in tem-
perature with height of less than -0.5 °K/100 m indicates unstable or
neutral conditions.) The 1.5 m/s wind speed criterion is also applied
to the NOAA model.
Examples
As an example of actual input used in calculations, data taken
directly from the upper air data tape are listed in Table 4.3-7 for
soundings resulting in highest limited mixing and inversion breakup
concentrations using the TVA model, and highest inversion breakup con-
centration using the NOAA model.
4.3-35
-------
Table 4.3-1 Page 1 of 2
Nomenclature for Terms Used in TVA and NOAA Equations
Note: Dimensions of each term are given in brackets:
CC = Atmospheric stability coefficient for buoyant plume rise
[dimensionless]
C = Specific heat at constant pressure [cal/g-°K]
de/dz = Vertical potential temperature gradient [°K/m]
F = Momentum flux, gvr2 (T^"T) [m4/s3]
o
g = Gravitational acceleration [m/s ]
h = Stack height [m]
H = Effective stack height = h + Ah [m]
Hp = Height of plume top prior to inversion breakup
= 1.1 (H + 2.15 oz) [m]
L = Mixing height [m]
Q = Contaminant emission rate [g/s]
r = Stack inside radius [m]
R = Net rate of sensible heating of an air column by solar
radiation [cal/m2-s]
RT = TVA inversion breakup 5- to 30-minute peak-to-mean ratio
[dimensionless]
RI -jn = TVA limited mixing 5- to 30-minute peak-to-mean ratio
LJUm [dimensionless]
RL3H = TVA limited mixing 5-minute to 3-hour peak-to-mean ratio
[dimensionless]
RRj = NOAA inversion breakup 10-to 30-minute peak-to-mean ratio
[dimensionless]
RR. ~« = NOAA limited mixing 10- to 30-minute peak-to-mean ratio
[dimensionless]
RRL3H = NOAA Timited mixing 10-minute to 3-hour peak-to-mean ratio
[dimensionless]
4.3-36
-------
Table 4.3-1, continued Page 2 of 2
s = (g/T) de/dz = Restoring acceleration oer unit vertical
displacement for adiabatic motion [s~2]
t = Time required to heat stable column of air between stack top
and plume top [s]
T = Ambient air temperature [°K]
T = Stack effluent exit temperature [°K]
u = Wind speed [m/s]
v = Stack effluent exit velocity [m/s]
X = Downwind distance [m]
X* = Distance at which turbulence begins to dominate; Briggs plume
rise, unstable and neutral cases [m]
X.p = Distance to final plume rise; Briggs plume rise, stable cases [m]
Ah = Plume rise [m]
9 = Potential temperature [°K]
K = Eddy conductivity of the atmosphere [cal/m-°K-s]
o
p = Ambient air density [g/m ]
o = Horizontal diffusion coefficient [m]
J
a f = Horizontal diffusion coefficient for inversion breakup,
yT TVA Model [m]
a . = Horizontal diffusion coefficient for limited mixing,
yt TVA Model [m]
a = Vertical diffusion coefficient [m]
•j
X = Ground level concentration [yg/m ]
4.3-37
-------
Table 4.3-2
Page 1 of 3
TVA Model Equations
DISPERSION COEFFICIENTS
1.0 =
z
r\ _
y
where,
TVA
Stability -Class
1
2
3
4
5
6
(4.5)
aXb
cXd
o.:
i.:
3.1
5.;
8.:
9.J
6.^
Coefficients
0.749
0.509
0.3336
0.227
0.167
0.141
0.201
0.377
0.562
0.729
1.128
1.456
1.839
1.318
0.760
0.692
0.642
0.576
0.5256
0.486
0.545
with stability class defined by TVA de/dz criteria (see Table 4.3-5).
PLUME RISE
3. (All stability classes)
Ah = (114) (CC) F1/3 u"1
where
4. CC = 1.58 - (41.4) (de/dz)
LIMITED MIXING
5. Ground level concentration (5-minute)
^6 '
X =
/2T a , uL
at any selected distance X
and
6. 0yt = ay + .47 (L/l.l - 2.15 a.,)
where
4.3-38
-------
Table 4.3-2, continued Page 2 of 3
a and a are specified by the selected distance X and TVA
stability class 4.5 (de/dz = 1.15°K/100 m).
INVERSION BREAKUP
7. Ground level concentration
106 Q
x a
-------
Table 4.3-2, continued Page 3 of 3
REFERENCE SOURCES FOR EQUATIONS
Equation Number Source
1. Developed from curves in TVA, 1970
2. Developed from curves in TVA, 1970
3. Montgomery and others, 1973a;
Carpenter and others, 1971
4. Montgomery and others, 1973a;
Carpenter and others, 1971
5. Montgomery and others, 1973a;
Carpenter and others, 1971
6. Montgomery and others, 1973a;
Carpenter and others, 1971
7. Montgomery and others, 1973a;
Carpenter and others, 1971
8. Montgomery and others, 1973a;
Carpenter and others, 1971
9. Montgomery and others, 1973a:
Carpenter and others, 1971
10. TVA, 1970
11. Carpenter and others, 1970
12. Montgomery and Coleman, 1975
13. Montgomery and Coleman, 1975
14. Montgomery and Coleman, 1975
4.3-40
-------
GO
Table 4.3-3
Mean Monthly Load Factors
MONTH
January
February
March
April
May
June
July
August
September
October
November
December
SUNRISE
(CST)
0658
0631
0602
0528
0500
0445
0451
0515
0547
0620
0649
0705
SUNSET
(CST)
1702
1728
1728
1832
1900
1915
1909
1844
1812
1740
1710
1654
HOURS OF
LIMITED MIXING
2.5
2.5
3.0
3.0
3.5
4.0
4.0
4.0
3.5
3.0
3.0
2.5
HOURS OF
INVERSION
BREAKUP
.5
.5
.5
.5
.5
.5
.5
.5
.5
.5
.5
.5
MEAN
MONTHLY
LOAD FACTOR
.59
.59
.58
.59
.67
.85
.88
.89
.79
.69
.64
.64
MEAN
LIMITED MIXING
LOAD FACTOR
.68
.68
.67
.72
.82
1.03
1.07
1.09
.97
.79
.73
.73
MEAN
INVERSION BREAKUP
LOAD FACTOR
.66
.66
.65
.44
.49
.62
.65
.65
.58
.77
.71
.71
Note: Load factors are fractional equivalents of percent operating levels.
-------
Table 4.3-4
Stack Exit Characteristics for Ten Percent
Operating Level Increments
S02 EMISSION
S02 EMISSION
OPERATING LEVEL
(Percent of
Rated Capacity)
30
40
50
60
70
80
90
100
110
VELOCITY
(ft/s)
31.84
36.80
44.42
51.30
59.45
66.10
74.30
81.99
89.74
TEMPERATURE
(°F)
219
225
230
236
241
247
253
258
264
RATE, TYPICAL
COAL
(Ib/hr)
2722
3629
4536
5442
6348
7255
8162
9069
9907
RATE, HIGH
SULFUR COAL
(Ib/hr)
4265
5687
7109
8528
9948
11369
12790
14212
15524
4.3-42
-------
Table 4.3-5
Stability Categorizations
TVA CRITERIA
Description Class
Neutral 1
Slightly Stable 2
Stable 3
Isothermal 4
Moderate Inversion 5
Strong Inversion 6
(Applied to L.M.) (4.5)
Mid-Point d9/dzc
(°K/100 m)
0.00
0.27
0.64
1.00
1.36
1.73
(1.15)
Range of de/dz
(°K/100 m)
<0.135
0.135 to 0.455
0.455 to 0.820
0.820 to 1.180
1.180 to 1.5455
>1.5455
(N/A)
Description
Extremely unstable A
Moderately unstable B
Slightly unstable C
Neutral D
Slightly stable E
Stable F
NRC CRITERIA (FOR NOAA MODEL) c
Pasguill Class Range of dT/dz (°K/100 m)
-1.9 to -1.7
-1.7 to -1.5
-1.5 to -0.5
-0.5 to 1.5
'Source: TVA, 1970
'Range limits are halfway between successive mid-point values.
:Source: USNRC, 1972
4.3-43
-------
0.45
0.11
0.061
0.033
0.023
0.015
2.1
1.1
0.92
0.6
0.51
0.45
0.2
0.16
0.1
0.07
0.052
0.035
0.88
0.88
0.88
0.88
0.88
0.88
Table 4.3-6 Page 1 of 3
NOAA Model Equations
DISPERSION COEFFICIENTS
1. °z = 1000 a Xb
2. cy = 1000 c Xd
where
Pasquill Coefficients
Stability Class a^ b^ £ d_
A
B
C
D
E
F
with stability defined by AEC dT/dz criteria (see Table 4.3-5)
PLUME RISE
Neutral and Unstable
3. Ah = 1.6 F1/3 (3.5X*)2/3 if1, if X ^3.5X*
4. Ah = 1.6 F1/3 (X)2/3 u"1, if X < 3.5X*
and
5. X* = 14 F5/8, if F < 55
6. X* = 34 F2/5, if F >_ 55
Stable
7. Ah = 2.4 (^j)1/3, if X >_ Xf
where
and
4.3-44
-------
Table 4.3-6, continued Page 2 of 3
9V — / *^ \ ' / ^
A.p - Tf(— I
10. Ah = 1.6 F^V'V1, if X < Xf
LIMITED MIXING
11. Ground Level Concentration (10-Minute)
x =
/2~Tr a u L
at distance X
where X is twice the distance at which
19 _ 0.75L
12' °z - 2J5-
INVERSION BREAKUP
13. Ground Level Concentration (10-Minute)
at distance X
u (a + H/8) (H + 2oz)
where
14. X = utm
and
PC de/dz
= ~ - (Ah + 2a} (h + Ah/2
where
16. R = 66.7 cal/m2/sec
PEAK-TO-MEAN RATIOS
17. RRj = 1.245
18. RR..nm = 1.245
L30m
19. RRi -I. = 1.8
4.3-45
-------
Table 4.3-6, continued Page 3 of 3
REFERENCE SOURCES FOR EQUATIONS
Equation number Source
1. Developed from curves in Turner, 1970
2. Developed from curves in Turner, 1970
3. Briggs, 1971; Briggs, 1972
4. Briggs, 1971; Briggs, 1972
5. Briggs, 1971; Briggs, 1972
6. Briggs, 1971; Briggs, 1972
7. Briggs, 1971; Briggs, 1972
8. - Briggs, 1971; Briggs, 1972
9. Briggs, 1971; Briggs, 1972
10. Briggs, 1971; Briggs, 1972
11. Turner, 1970
12. NOAA, 1972
13. Turner, 1970
14. Pooler, 1965
15. Pooler, 1965
16. Pooler, 1965
17. Turner, 1970
18. ,, Turner, 1970
19. Turner, 1970
4.3-46
-------
Table 4.3-7
Examples of Actual Upper Air Data
Date/Time
6/10/66
1800 CST
1/22/70
0600 CST
10/28/67
0600 CST
Pressure
(mb)
1007
1000
993
950
914
900
850
1019
1001
1000
976
950
948
925
1011
1000
998
966
950
900
MSL Height
(m)
79
142
200
600
920
1047
1535
79
210
220
410
620
630
820
79
167
190
460
600
1039
Temperature
(°C)
25.0
23.4
21.1
18.5
15.4
17.9
17.5
-12.8
-10.3
-10.5
-11.7
- 9.0
- 8.9
- 6.5
1.1
8.2
8.6
11.5
10.6
7.5
Wind
Direction
(°)
40
43
*
42
*
10
340
130
*
136
*
224
*
*
no
104
*
*
249
234
Wind
Speed
Mil
7
4
*
3
*
4
5
2
*
2
*
1
*
*
3
2
*
*
1
2
Not reported
4.3-47
-------
•p. .
c»>
I
**
CO
o
UJ
CD
or
ui
x
oc
:D
(C
PREVIOUS DAY
COMPUTATION DAY
FOLLOWING DAY
MAX.
i-l
I
I I
Sunset
Sunrise 1400 Sunset
MAX;
i-l
Sunset
Sunrise 1400 Sunset
TIME
MAX
i + I
1400
MAX.
+ 1
I40O
Figure 4.3-1. Determination of hourly mixing heights by the CRSTER model preprocessor progrwa.
-------
INVERSION BREAKUP
UJ
TEMPERATURE
PROFILES
DISTANCE
Note: Dashed line represents dry adiabatic lapse rate.
Figure 4.3-2.
Illustration of limited mixing and inversion breakup
conditions.
4.3-49
-------
HOUR OF DAY
3AM
6AM
SAM
I2N
3PM
6PM
9PM
I2M
U)
I
i
o
g
O
X
UJ
o:
(0
a.
3000
1710
1500
1000
500
MEAN MONTHLY LOAD FACTOR
59% (JAN.)
SUNRISE
SUNSET
2 HOURS
IHR.
OCCURRENCE
OF L.M.
2 HOURS
Figure 4.3-3. AP&L system load curve (winter maximum, 1/2/74).
-------
I2M
3000
3AM
6AM
SAM
HOUR OF DAY
I2N
3PM
6PM
9PM
I2M
co
in
1 HR.
OCCURRENCE
OF L.M.
2.25 HOURS
Figure 4.3-4. AP&L system load curve (summer maximum, 8/20/73).
-------
: Average potential temperature gradient with height
Neutral
Slightly stable
Stable
Isothermal 1.00° K/100 meters
0.00° K/100 meters
0.27» K/100 meters
0.64s K/100 meters
Moderate inversion 1.36° K/100 meters
Strong inversion 1.73° K/100 meters
10* 10*
Downwind distance from the source, i (meters)
Horizontal Gaussian standard deviation of plume distribu-
tion as a function of downwind distance from the source.
10.000
1.000
100
10
"Average potential temperature gradient with height,
"~ A ft '
e- - '-K/100 meters):
- Neutral 0.00° K/100 meters
"Slightly stable 0.27° K/100 maters
-Stable 0.64° K/100 meters
Isothermal 1.00° K/100 meters
E Moderate inversion 1.36° K/100 meters
-Strong inversion 1.73° K/100 meters
•*&•
10Z 103 10*
Downwind distance Irom the source, « (meltrs)
10s
Vortical Qausslan standard deviation of plume distribution
as a function ol downwind distance from the source.
Source: Carpenter and others, 1971
Figure 4.3-5. TVA horizontal and vertical diffusion coefficients,
-------
750
(8090)
800
(6390)
u.
z~
o
«J
zd
UJ*rJ
(T ^
CO Q
uj !£
V)
850
(4780)
900
(3240)
950
(1770)
1000
(360)
TEMPERATURE
SOUNDING
GROUND
LEVEL
20° 30°
TEMPERATURE , °C
Figure 4.3-6.
Typical limited mixing case, 0000 GMT sounding
(1715 CST release).
4.3-53
-------
750
(6090)
BOO
(6390)
2
O
650
(4780)
.U
lijl
900
(3240)
950
(1770)
1000
(360)
STACK
\ /
TEMPERATURE
SOUNDING
GROUND
LEVEL
0°
10° 20° 30° 40*
TEMPERATURE, °C
Figure 4.3-7. Typical inversion breakup case, 1200 GMT sounding
(0515 CST release).
4.3-54
-------
4.4 MODELING RESULTS
4.4.1 Annual Average Concentrations
In calculating annual average concentrations using the Air Quality
Display Model (AQDM), emission source characteristics representative of
an average operating level were used. This annual average level is
estimated to be 65 percent of rated capacity, which for modeling pur-
poses was rounded to 70 percent. Stack parameters for the 70 percent
operating level are shown in Table 4.3-4. Pollutant emission rates on
an annual basis are those resulting from use of typical coal, i.e., coal
' with a sulfur content of 0.28 percent and an ash content of 5.99 percent.
In running AQDM, receptor points are specified by a rectangular
grid array which allows up to 225 points per run. To determine maximum
annual concentrations, successive runs were made with grid arrays ori-
entedjn different directions and distances from the Independence site.
A grid spacing (distance between adjacent receptor points) of 2 km was
used at distances within approximately 20 km of the site, and a spacing
of 4 km at greater distances. Calculations were made to distances
beyond 100 km. Basic meteorological input consisted of the Little Rock
wind/stability frequency distribution previously discussed, an ambient
temperature of 289°K, an ambient pressure of 1000 mb, an afternoon
mixing height of 1431 m and a mixing height for Class E calculations of
700 m.
Within 100 km of the Independence site, the highest annual average
SOp concentration is calculated to be less than 1 pg/m . Since N0?
emissions (all NO assumed to be N09) and particulate emissions are less
f\ £m
than S09 emissions, maximum annual average N09 and particulate concen-
3
trations are also calculated to be less than 1 yg/m . These results are
summarized in Table 4.4-1. Although the concentration distribution
pattern is not very meaningful with concentrations this low, the area of
highest concentration is indicated to be about 90 km northeast of the
site.
4.4-1
-------
The extremely low annual average concentrations predicted by the
model are not surprising considering the height of the stack and plume
rise from the stack. Other studies have indicated that tall stacks are
very protective of annual ambient standards.
4.4.2 24-Hour Concentrations
Concentrations over an averaging period of 24 hours were calculated
using the CRSTER model. The version of the model used permits consider-
ation of monthly variations in emission rate but does not provide for
introduction of corresponding monthly variations in the exit gas con-
ditions (.temperature and velocity) which affect plume rise. Given this
restriction and given the objective of computing concentrations for both
typical coal and high sulfur/high ash coal, the following emission
source configurations were modeled:
EXIT GAS
EMISSION RATES CHARACTERISTICS COAL
CONFIGURATION
1
2
3
4
Monthly
Average
X
X
110%
X
X
70%
X
X
110%
X
X
Typical
X
X
High Sulfur/
High Ash
X
X
Monthly average emission rates refer to rates obtained by correcting the
emission rate for the 70 percent operating level (the average level when
generating units are in operation) in accordance with the monthly mean
operating levels shown in Table 4.3-3. The "110%" emission rates column
refers to peak load emission rates. (An assumption of 24 continuous
hours at peak load generation is not very realistic but was included for
comparison purposes.) The two columns shown for exit gas conditions
refer to velocity and temperature characteristic of a 70 percent operating
level and a 110 percent operating level.
In applying the model, only S02 concentrations were calculated
directly. Particulate concentrations were obtained through multiplica-
tion of S02 concentrations by the ratio of particulate emissions to S02
emissions.
4.4-2
-------
Each model run is capable of including up to five downwind dis-
tances along each 10-degree azimuth line. To determine the distance at
which the maximum concentration occurs, successive model runs were made
until a maximum concentration, using distance spacings of 0.1 km, was
apparent.
Table 4.4-2 summarizes highest SOp and particulate concentrations
for each emission source configuration in comparison with national
ambient air quality standards. Also shown in this table are the dis-
tance and direction at which the maximum concentration is calculated to
occur. Although the second highest concentration at each receptor point
is also computed by the model, these concentrations have not been
included in the summary of results.
As can be seen in Table 4.4-2, predicted 24-hour concentrations are
well below ambient air quality standards. Also, the distances at which
maximum concentrations are expected to occur are barely beyond site
boundaries. These close distances result from allowing Class A sta-
bilities to be included in modeling computations. The day on which
highest concentrations occurs includes two hours of Class A conditions
during which the wind is blowing toward the point of maximum concentra-
tion. Since existence of Class A stabilities at plume height is an
unlikely event, as has been discussed, this adds a degree of conser-
vatism to the modeling results.
4.4.3 3-Hour Concentrations - CRSTER Model
Concentrations over a 3-hour averaging period have been calculated
using the CRSTER model and, for comparison, the TVA and NOAA models.
TVA and NOAA model results are presented in a later section.
The same emission source configurations considered in computation
of 24-hour concentrations were also considered in computing 3-hour
concentrations. Results for SOp (the only pollutant for which a 3-hour
standard exists) are shown in Table 4.4-3. Predicted concentrations are
well below applicable standards. Also, as was the case with 24-hour
concentrations, maximum 3-hour concentrations occur near the emission
source, again the result of including Class A stabilities in computations
4.4-3
-------
4.4.4 30-Minute and 3-Hour Concentrations - TVA. NOAA Models
4.4.4.1 Emission Source/Modeling Concept Combinations
Several combinations of emission source characteristics and model-
ing concepts were tested - both those considered most realistic and
those conceivable but not likely to occur. Combinations tested by both
the TVA and NOAA models are outlined in Table 4.4-4 and further explained
in the following paragraphs.
Emission Characteristics - Use of mean monthly limited mixing load
factors (as listed in Table 4.3-3) and the emission characteristics
associated with these factors is considered the most realistic approach
to the modeling of maximum 30-minute concentrations when combined with
measured (as opposed to hypothetical) meteorological conditions. There
will be brief periods during afternoon hours when both units will
operate at peak load (110 percent), however. Therefore, peak load
emission characteristics were also used in the calculation of limited
mixing concentrations with mixing lid penetration constraints as ex-
plained below. In the case of inversion breakup, emissions participat-
ing in this condition are released early in the morning when peak load
levels are not likely to be in effect. Therefore, mean monthly load
factors were used for inversion breakup calculations.
Coal Quality - Emissions from the Independence Steam Electric
Station will most commonly result from combustion of coal which has
previously been described as "typical" coal. However, since the coal
contract which has been obtained specifies a quality range, high sulfur/
high ash coal emissions characteristic of coal at the upper end of the
contracted range were also modeled.
Mixing Lid Penetration - In application of the TVA model to anal-
ysis of monthly mean limited mixing load factors, calculations were made
provided the height defined by the stack height plus 70 percent of the
plume rise (0.7 Ah) was at or below the mixing height and other selec-
tion criteria were met. As previously explained, this allows a sizeable
portion of the plume to penetrate into the capping lid and still partic-
ipate in the limited mixing occurrence. This adds an element of
4.4-4
-------
conservatism considered reasonable when using monthly mean factors since
conditions on any given day may differ from the mean. When assuming
emissions are at peak level, however, the factor of deviation from the
mean does not exist. The modeling approach in this case was to allow
limited mixing calculations whenever the height defined by stack height
plus total plume rise (1.0 yh) was at or below the mixing height. As
discussed above, since plume rise computations are in reference to plume
centerline, the technique used to model peak load emissions still permits
that part of the plume above the centerline to penetrate into the capping
lid and still contribute to ground level limited mixing concentrations.
This technique is also conservative with respect to a typical TVA prac-
tice of comparing mixing height with plume top rather than plume center-
line (Carpenter and others, 1976; TVA, 1977). In using the NOAA limited
mixing model, the 70 percent plume rise approach was used for all calcu-
lations since this model is somewhat less conservative than the TVA
limited mixing model.
MixingLayer Stability - To achieve the fairly vigorous thermal
mixing required to uniformly mix a plume between the ground and an ele-
vated trapping lid during limited mixing conditions, stability within
the mixing layer cannot be excessively stable. As previously discussed,
the initial procedure used with the TVA limited mixing model to determine
if adequate mixing could occur was to make calculations only if the
change of potential temperature with height (de/dz) was no greater than
0.135 °K/100m. This value corresponds to an intermediate level half-way
between the mid-point values of TVA's neutral and slightly stable
classes. Additional calculations were made with a less restrictive
value of 0.455 °K/100m, intermediate between TVA's slightly stable and
stable classes. Since these limits are tested in the meteorological
processing program prior to execution of the TVA and NOAA concentration
computation programs, they apply to both modeling concepts.
Hypothetical Conditions - In the absence of actual upper air data,
TVA has suggested hypothetical conditions which can be applied as a
preliminary estimate of high concentrations during limited mixing and
inversion breakup situations (Montgomery and others, 1973a). Although
4.4-5
-------
the main objective pursued in evaluating the Independence Steam Electric
Station was simulation of most probable concurrent emission and meteo-
rological characteristics, calculations were also made based on TVA's
hypothetical conditions and peak load emission characteristics. The
conditions suggested for limited mixing are as follows:
1. potential temperature lapse rate = 1.15 °K/100m (for plume
rise computations)
2. wind speed = 3 m/s
3. mixing height = 762 m or the top of the plume, whichever is
greater (TVA, 1977)
4. . distance = 3 km
5. horizontal dispersion coefficient = 108 m
6. vertical dispersion coefficient = 36 m
Suggested conditions for inversion breakup are:
1. potential temperature lapse rate = 1.15 °K/100m
2. wind speed = 3 m/s
3. horizontal dispersion coefficient = 1.32 (X ) °
maxx 21
4. vertical dispersion coefficient = 6.71 (X ,„)
max
5. distance to point of max concentration (X ) determined using
•5
ambient air density of 1220 g/m , specific heat of air of
0.24 cal/g-°K, and eddy conductivity of 800 cal/m-°K-s.
For the limited mixing case, the top of the Independence Steam Electric
Station plume at peak load for the conditions given is 938 m. This was
the value used for mixing height since it exceeds 762 m.
Downwind Distance - The downwind distance at which maximum concen-
trations occur is calculated automatically when using the TVA inversion
breakup equations and NOAA inversion breakup and limited mixing equations.
To apply the TVA limited mixing calculation program, distances have to
be assigned. TVA experience indicates that maximum concentrations occur
at distances between 3 and 10 km from the emission source (Carpenter and
others, 1971; Montgomery and others-, 1973a). Since the tall stack
planned for the Independence Steam Electric Station could conceivably
project high concentrations to even greater distances, calculations were
4.4-6
-------
made over a range of 3 to 15 km at the following specific distances:
3 km, 5 km, 8 km, 10 km, and 15 km.
4.4.4.2 30-Minute Concentration Modeling Results
TVA and NOAA 30-minute concentration modeling results are presented
in Table 4.4-5. These are the results obtained after application of the
exclusion criteria previously listed. No 30-minute particulate concen-
trations are higher than 21 yg/m , and are therefore well below the
3
standard of 150 yg/m . The highest 30-minute S09 concentration is a
3
limited mixing concentration of 516 yg/m , just slightly below the
3
standard of 533 yg/m . However, it should be noted that this concen-
tration results from use of the most conservative horizontal dispersion
coefficient equation, whereas if the other equation had been used the
3
resulting maximum concentration would have been the 481 yg/m NOAA
inversion breakup maximum. Also, this concentration is associated with
use of higher sulfur coal and is calculated for a summer day (6/10/66)
when the mean limited mixing operating level is above 100 percent, and
therefore calculations are actually made for peak operating level
emissions even though the 70 percent plume penetration assumption is in
3
effect. In other words, the 516 yg/m value results from essentially
worst case conditions which would not be expected to occur with any
degree of regularity. This conclusion regarding frequency of occurrence
is based on the concentration frequency distribution tables which are
part of the output from the TVA and NOAA modeling programs. Under
limited mixing conditions, for Combination TVA-2 (higher sulfur coal and
de/dz cutoff of 0.135) only 0.3 percent of all concentrations are greater
than 450 yg/m . For Combination TVA-4 (higher sulfur coal and de/dz
cutoff of 0.455) only 0.7 percent of all concentrations are above this
level. And for inversion breakup Combinations NOAA-2 or NOAA-4, which
produce the second highest maximum concentration of 481 yg/m , only 0.1
percent of all concentrations are above 450 yg/m . (These distributions
are based on calculations made prior to any exclusions on the basis of
surface data conditions.) Also, it should be remembered that the limited
mixing concentrations cited here are at a downwind distance of only
3 km, the distance at which highest concentrations are calculated by the
4.4-7
-------
3
TVA model. At greater distances, concentrations above 450 yg/m would
be extremely unlikely based on modeling results.
For better understanding of the results presented in Table 4.4-5,
values of key meteorological variables associated with maximum concen-
trations are shown in Table 4.4-6. These key variables include mixing
height, wind speed, de/dz from the top of the stack to the top of the
mixing layer (for TVA limited mixing) and from the top of the stack to
40 mb above the stack (for TVA inversion breakup), and dT/dz from the
top of the stack to 40 mb above the stack (for NOAA inversion breakup).
No information is provided for NOAA limited mixing cases since predicted
concentrations are so low. It will be noted that dT/dz for the maximum
NOAA inversion breakup case (-0.288 °K/100 m) is within the Pasquill
Class E category and does not actually represent a true inversion
situation. For this case, an emitted plume might not even remain intact
enough to be brought rapidly to the ground in high concentrations as
typically visualized for inversion breakup occurrences.
4.4.4.3 3-Hour Concentration Modeling Results
Using peak-to-mean ratios, 3-hour SOp concentrations have been cal-
culated from maximum TVA 30-minute limited mixing concentrations and are
presented in Table 4.4-7. No 3-hour concentrations have been extrapolated
for inversion breakup since this phenomenon typically is not of sufficient
duration to result in high concentrations over a period of more than an
hour. Also, no 3-hour concentrations are shown for the NOAA limited
mixing model since the 30-minute concentrations predicted by this model
are so low.
Maximum concentrations are higher than those predicted by the
CRSTER model but still far below applicable standards. Comments made
regarding frequency of occurrence of 30-minute concentrations also apply
to 3-hour concentrations, that is, highest concentrations are rarely
predicted. Concentrations over 300 jjg/m., for 3-hour duration, are
calculated by the TVA limited mixing model on less than one percent of
all days during the 5-year test period.
4.4-8
-------
Table 4.4-1
Maximum Predicted Annual Average Concentrations
Predicted National Primary National Secondary
Concentration Air Quality Standard Air Quality Standard
Pollutant (yg/m3) (yg/m3) (yg/m3)
S02 <1 80
N02 <1 100 100
Particulate
Matter <1 75 60
4.4-9
-------
Table 4.4-2
Maximum Predicted 24-Hour Concentrations
Maximum S0?
Emission Source Concentration
Configuration*1
Maximum
Particulate
Concentration
(ug/m3)
Distance/Direction
of Maximum Concentration
Point
1
2
3
4
15
24
18
28
National S0? Primary 24-Hour Standard:
National Particulate Primary 24-Hour Standard:
National Particulate Secondary 24-Hour Standard:
Arkansas Particulate 24-Hour Standard:
Class II Area S02 24-Hour PSD Increment:
Class II Area Particulate 24-Hour PSD Increment:
1.5 km / 30°
1.5 km / 30°
1.6 km / 30°
1.6 km / 30°
365
260
150 pg/m
75 pg/m
91 pg/m
37
a Legend for emission source configurations (see text for further
information):
1 = Monthly average emission rates; 70 percent operating level exit
gas characteristics; typical coal
2 = Monthly average emission rates; 70 percent operating level exit
gas characteristics; high sulfur/high ash coal
3 = Peak load (110 percent) emission rate and exit gas characteristics;
typical coal
4 = Peak load (110 percent) emission rate and exit gas characteristics;
high sulfur/high ash coal
4.4-1-0
-------
Table 4.4-3
Maximum Predicted 3-Hour Concentrations
Based on CRSTER Model
Emission Source
Configuration9
Maximum SCL
Concentration
(yg/m3)
Distance/Direction
of Maximum Concentration
Point
1
2
3
4
109
171
106
166
1.6 km / 280°
1.6 km / 280°
1.5 km / 290°
1.5 km / 290°
National S09 Secondary 3-Hour Standard: 1300 pg/m
Class II Area S02 3-Hour PSD Increment:
512 ug/nT
a Legend for emission source configurations (see text for further
information):
1 = Monthly average emission rates; 70 percent operating level exit
gas characteristics; typical coal
2 = Monthly average emission rates; 70 percent operating level exit
gas characteristics; high sulfur/high ash coal
3 = Peak load (110 percent) emission rate and exit gas characteristics;
typical coal
4 = Peak load (110 percent) emission rate and exit gas characteristics;
high sulfur/high ash coal
4.4-11
-------
Table 4.4-4
Emission Source/Modeling Concept Combinations
Limited Mixing
Emission
Characteristics
Coal Quality
Mixing Lid
Penetration
Mixing Layer
de/dz
ro
Hypothetical
Conditions
Emission Source/
Modeling Concept
Combination
TVA-1
TVA-2
TVA-3
TVA-4
TVA-5
TV A- 6
TVA-7
TVA-8
TVA-9
TVA-10
NOAA-1
NOAA-2
NOAA-3
NOAA-4
NOAA-5
NOAA-6
NOAA-7
NOAA-8
Mean
Monthly
X
X
X
X
X
X
X
X
Peak
X
X
X
X
X
X
X
X
X
X
Typical
X
X
X
X
X
X
X
X
X
High Sulfur/
High Ash
X
X
X
X
X
X
X
X
X
0.7 Ah 11.0 Ah
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
0.135
X
X
X
X
X
X
X
X
0.455
X
X
X
X
X
X
X
X
X
X
-------
Table 4.4-5
co
Maximum 30-Minute S02 and Particulate
Concentrations - TVA, NOAA Models
Limited Mixing
Inversion Breakup
Emission Source/
Modeling Concept
Combination
TVA-1
TVA-2
TVA-3
TVA-4
TV A-5
TVA-6
TVA-7
TVA-8
TVA-9
TVA-10
NOAA-1
NOAA-2
NOAA-3
NOAA-4
NOAA-5
NOAA-6
NOAA-7
NOAA-8
Arkansas 30-Minute S02 Standard = 533 yg/m
Arkansas 30-Minute Particulate Standard = 150 yg/nT
S02
Concentration
(yg/m3)
329
516
329
516
267
419
290
455
312
489
31
49
30
47
35
55
35
55
Particulate
Concentration
(yg/m3)
16
21
16
21
13
17
14
18
15
20
2
2
1
2
2
2
2
2
Distance
(km)
3
3
3
3
3
3
3
3
3
3
39.5
39.5
38.5
38.5
43.1
43.1
43.1
43.1
S02
Concentration
(yg/m3)
207
324
207
324
-
'
-
-
94
147
307
481
307
481
-
-
-
-
Particulate
Concentration
(yg/m3)
10
13
10
13
-
-
-
-
5
6
15
19
15
19
-
-
-
-
Distance
(km)
43.2
43.2
43.2
43.2
-
-
-
-
78.2
78.2
16.6
16.6
16.6
16.6
-
-
-
-
-------
Table 4.4-6
Meteorological Variables Associated With
Maximum 30-Minute Concentrations
Limited Mixing
Inversion Breakup
-p»
•
-P»
-p.
Emission Source/
Modeling Concept
Combination
TVA-1,2,3,4.
TV A- 5, 6
TVA-7,8
TVA-9,10
NOAA-1,2
NOAA-3,4
NOAA-5,6,7,8
Date
6/10/66
4/24/67
1/30/66
N/A
-
-
-
Mixing
Height
(m)
841
701
741
938
-
-
-
Wind
Speed
On/s)
3.5
6.0
5.0
3.0
-
-
-
de/dz
(°K/100m)
0.127
0.073
0.359
1.15
-
-
-
Date
1/22/70
-
•
N/A
10/28/67
10/28/67
-
Wind
Speed de /dz
(m/s) (°K/100m)
1.5 2.105
-
-
3.0 1.15
1.5
1.5
-
dT/dz
(°K/100m)
-
-
-
-
-0.288
-0.288
-
-------
Table 4.4-7
Maximum 3-Hour SCL Concentrations
TVA Limited Mixing Model
Emission Source/
Modeling Concept Concentration
Combination (yig/m )
TVA-1 219
TVA-2 344
TVA-3 219
TVA-4 344
TVA-5 178
TVA-6 279
TVA-7 193
TVA-8 303
TVA-9 208
TVA-10 326
National S02 3-Hour Secondary Standard = 1300
National Class II Area S02 3-Hour PSD Increment = 512
4.4-15
-------
4.5 ATMOSPHERIC EFFECTS OF COOLING TOWERS
4.5.1 Introduction
The heat dissipation system for the Independence Steam Electric
Station consists of two natural draft cooling towers, one for each unit
of operation. The towers have the design characteristics as presented
in Table 4.5-1. These characteristics, it should be noted, are general-
ly peak or maximum values and will vary depending on the plant load
condition and the ambient atmospheric temperature and humidity. These
towers represent the best compromise between economic cost of construc-
tion/operation and anticipated environmental impact.
The areas of atmospheric concern with the operation of cooling
towers are the presence of:
0 large drift deposition
0 long visible plumes
0 frequent ground level fog/icing
0 plume generated cloud formation
0 modified precipitation
0 interaction of flue and cooling tower plumes
4.5.2 Drift Deposition
The design maximum drift rate for these towers is 0.01 percent of
the circulation flow rate. This means that, at the maximum flow rate of
310,000 gpm, 31 gpm of water may be emitted from the towers in the form
of small water droplets. The design of baffles (drift eliminators) for
the towers enables the manufacturer to guarantee such low rates of drift.
This low rate, especially for natural draft towers, ensures low impact
from cooling towers due to the increased dilution that will occur prior
to reaching ground level. It should be noted that this maximum drift
rate is an order of magnitude greater than that possible from a well-
maintained tower (DeVine, 1975) thus indicating the conservative nature
of these analyses.
4.5-1
-------
The settling speed of droplets in the plume (cloud droplets) is
less than a few centimeters per second and, therefore, these droplets do
not contribute significantly to the ground level settling. Drift
droplets settle at speeds of almost 1 meter per second and are of con-
cern in the deposition of water and salts on the surface. Much work has
been done in modeling this aspect of the cooling tower impact with very
little verification. These models have been found to yield large dif-
ferences in deposition rates (McVehil and Heikes, 1975). Many studies
of drift from saltwater natural draft cooling towers are available and
will be used to represent the extreme values expected at the Indepen-
dence site (Edmonds, Roffman and Maxwell, 1975; Roffman and Grimble,
1975; DeVine, 1975). The maximum centerline chloride deposition rate
was estimated to be 1.2 to 17.4 Ibs/acre-month for natural draft cooling
towers (Edmonds, Roffman and Maxwell, 1975). Roffman and Grimble
(1975) estimate the maximum deposition from a natural draft cooling
tower to occur under slightly unstable conditions and at a distance of
fi ?
1500 meters. This rate was estimated to be 1.24 x 10" kg/m -day.
(0.33 Ibs/acre-month). The characteristics of the cooling tower used in
this study are such that these calculations are very conservative in
comparison with the characteristics of the cooling towers at the Inde-
pendence site.
Another indication of the small magnitude of the impact expected
from the drift of the cooling towers can be seen through the conserva-
tive calculation of drift deposition assuming all the drift material is
deposited within 3.0 km of the site and within the sector having the
highest frequency of occurrence. This calculation indicates a maximum
of 9.278 x 10"7 Ibs/ft2-day (1.2 Ibs/acre-month) deposition for each
fi P
tower; a maximum of 1.856 x 10" Ibs/ft -day (2.4 Ibs/acre-month) from
both towers. Such concentrations of salts may be injurious to some
crops but it should be noted that these values are the maximum calcu-
lated and are not expected to occur. This is especially true consider-
ing the fact that the rainfall in this region is both large (40-50
inches) and evenly distributed throughout the year. Thus high build-up
of salts is not expected in the plants nor in the soil.
4.5-2 -
-------
The effects of salt sprays on corn and soybeans as well as on other
vegetation has been investigated (Mulchi and Armbruster, 1975; Edmonds,
Roffman and Maxwell, 1975). These reports indicate that salt spray
treatments of 7.28 kg/hectare-week (2.130 x 10"5 Ibs/ft2-day) produce
leaf damage in both corn and soybeans. This is at least an order of
magnitude larger than that expected at Independence Steam Electric
Station. No visual damage or difference in growth occurred for treatments
of 1.82 and 3.54 kg/hectare-week (5.32 x 10"6 and 1.04 x 10"5 lbs/ft2-
day) for an 8 week period. Reports also point out that exposure to
3 -3 2
salts of 100 yg/m (1.77 x 10" Ibs/ft -day) for several hours during
the growing season causes foliage damage. Exposure to 60 yg/m (1.77 x
-4 2
10 Ibs/ft -day) will affect the vigor and distribution of plants
(DeVine, 1975). These concentrations, assuming a settle velocity of 1
meter per second, are two orders of magnitude greater than that expected
from the Independence site.
In summary, drift from the two natural draft cooling towers at the
Independence site is not expected to produce damaging salt concentrations
in the surrounding areas. The deposition expected will be at least an
order of magnitude smaller than that which causes damage to vegetation.
Also, accumulation of salt in the soils is not anticipated due to the
abundant rainfall throughout the year.
4.5.3 Visible Plumes
The natural draft cooling towers will produce visible plumes of
various lengths depending on plant load characteristics as well as
meteorological conditions. DeVine (1975) points out that visible plumes,
from 63 large natural draft cooling towers in the United States, extend
more than 1000 yards (914 meters) downwind less than 15 percent of the
time and do not contribute to area cloudiness. The larger plume lengths
occur with larger plant loads and smaller saturation deficits (difference
between saturation moisture density and ambient moisture density). The
latter condition occurs more frequently during the cooler months of the
year. Junod and others (1975) presented the visible plume length from
the Leibstadt power plant (144-meter towers and 950 MW power). Fifty
percent of the winter plumes were about 450 meters (0.28 mile) long,
4.5-3
-------
while the summer months had plumes about 600 meters (0.37 mile) in
length 50 percent of the time. The winter months had plumes of 3000
meters (1.86 mile) or longer 10 percent of the time, while the summer
months had only about 1400 meter (0.87 mile) plume length for the same
percent level.
DeVine (1975) indicates long visible plumes are possible when the
saturation deficit is less than or equal to 0.5 g/m . The summary of
the wet bulb depression for various ambient temperatures is presented in
Table 4.5-2. These data were obtained from observations at Little Rock.
The colder months have 9.0 percent of the observations with less than a
•j
2 degree wet bulb depression (saturation deficit of less than 0.63 g/m ).
For the warmer months, 10.8 percent of the observations have saturation
o
deficits less than 1.96 g/m . Based on DeVine's criteria and on the
data presented on Table 4.5-2, it is anticipated that long plumes will
be experienced a maximum of about 120 hours during warmer months and
about 394 hours during the colder months of the year.
Other studies have shown, from actual observation, that plumes, at
times, persist for long distances (Smith and others, 1974). Plumes
extending more than 2 miles occurred in 16 cases of 244 observations;
some were in excess of 6 miles. The majority of the plumes observed in
the Smith study rose quickly to heights of 400 to 7000 feet and dissipated
within 0.5 miles (66.8 percent of the 244 observations).
Moore (1975) reports the existence of long visible plumes, mostly
during cloudy or overcast days. Persistent plumes (length greater than
900 meters) occur during 50 percent of the observations in the December-
February period, but only 10 percent in the May-July period (Barber and
others, 1974). DeVine (1975) also reports plumes of more than 1000
yards occur less than 15 percent of the time.
Furthermore, visible plumes greater than 2 miles in length may
occur but are expected to be infrequent and confined to the winter
months. Normally, plumes of less than 0.5 mile are expected and will
affect only the aesthetic conditions near the plant, not the clima-
tological conditions of the area.
4.5-4
-------
4.5.4 Ground Level Fogging/Icing
Plumes from natural draft towers have, on ocassion, been found to
reach the ground. This is generally true in areas with terrain features
that would promote such circulation and/or tower design that contributes
to such occurrences. DeVine (1975) reports on a study of the Forked
River cooling tower where tower-caused ground level fog was found to
occur less than 2 percent of the time during the year, with no correspond-
ing occurrences of icing. Smith and others (1974) report that their
observations indicate no cooling tower induced fogging; in fact the
plumes were observed to rise above existing natural fog formation.
Consideration of the increase in humidity at ground level was also
discussed by Smith and found to be indistinguishable from natural
variations. The maximum increase in relative humidity was calculated to
be 1 percent. Moore (1975) notes that no significant changes in rain-
fall, sunshine, or occurrence of fog was detected from the inspection of
climatological records for stations between 4 and 112 km from a 2000 MW
power plant. This lack of increase in ground level humidity was also
reported for the Keystone Station. The Battelle (1974) study, which
reviewed the natural draft cooling tower literature to describe and
evaluate the potential atmospheric effects of operating towers, reports
no observed increases in fogging or icing due to tower plumes. The
Paradise and Keystone tower plumes have never reached the ground under
normal operating conditions. This is also true of icing. No icing was
observed due to the plumes from operational natural draft cooling towers.
Barber and others (1974) also indicate that during a year of observations
at eight natural draft cooling towers in England, no plumes came in
contact with the ground.
DeVine (1975) reports that ground level fog will usually occur when
o
the saturation deficit is less than or equal to 0.1 g/m . Table 4.5-2
indicates this level of saturation deficit will be equivalent to the wet
bulb depression of near zero degrees, 4.4 percent of the total. Thus,
the maximum potential occurrence of ground fog will be about 385 hours
per year.
4.5-5
-------
The results of the above studies are general enough to indicate the
nature of the anticipated impact of fogging and icing at the Independence
site. Neither ground level fogging nor icing is expected to result from
operation of the Independence Steam Electric Station cooling towers.
4.5.5 Modification of Precipitation/Cloud Formation
The plumes from natural draft cooling towers have been observed to
merge with existing cloud systems and even, rarely, to form a cumulus
cloud. It should be noted that persistent plumes generally occur during
overcast and cloudy days and, therefore, may interact with existing
cloud development. Both of these conditions are occasional occurrences
and do not modify the climatological characteristics of the region.
Results of a number of investigations confirm this conclusion (DeVine,
1975; Battelle, 1974; Huff, 1972; and Martin, 1974).
Precipitation from natural draft towers has, in the past, been due
to drift of droplets from these towers. The problem has been solved
through new design configurations of drift eliminators to collect these
droplets prior to discharge. Most towers with modern drift eliminators
produce smaller droplets that tend to evaporate prior to reaching the
ground. This should be considered with the fact that reported occur-
rences of precipitation from natural draft cooling towers are infrequent
and do not exceed the normally occurring variability in precipitation
(Martin, 1974).
Precipitation from plumes is likewise a rare occurrence. Moore
(1975) reports that persistent plumes occur mainly in conditions of high
ambient relative humidity, with natural clouds usually present and pre-
cipitation is very slight, and only occurs when natural rain is falling
or when rain is possible. Investigation of weather records near a
2000 MW power station (Martin, 1974) showed a slight increase in rain-
fall after operation, but the normal scatter in annual values prevents
concluding that a correlation exists. The range in the values before
operation is similar to those experienced after operation.
4.5-6
-------
Huff (1972) points out that the heat and moisture from cooling
towers may contribute to the development of clouds through the "trigger"
mechanism, but all indications are that precipitation augmentation will
be insignificant when considering the normal amounts of natural rain.
Therefore, modification of precipitation due to the two natural
draft cooling towers at the Independence site is unlikely and not expected.
4.5.6 Stack and Cooling Tower Plume Interaction
The intermixing of cooling tower plumes with the plume from the
stack is possible due to the location of the release points and to the
plume rise characteristics of the various plumes. This intermixing has
been observed at the Keystone Generating Station in Pennslyvania (Aynsley,
1970). The towers at Keystone are 325 feet in height (4 towers) with
the stacks at 800 feet (2 stacks). Acid droplets were detected in the
plume, but no data were given on the amount reaching ground level. This
observed increase of acid droplets in the plume is attributed to the
increased rate of oxidation of atmospheric SOp to sulfates due to the
increase in humidity. The Central Electricity Generating Board of
England believe the change in growth rate of water droplets due to SOp
is slow enough that these acid drops seldom reach the ground (Hanna and
Swisher, 1971). In other words, if tower and stack interaction cause
acid droplet development, do the acid droplets reach the ground? This
is a topic that has, heretofore, not been the subject of extensive
observational research. Moore (1975) presents observations that tend to
support the supposition that the interaction of the chimney and tower
plumes is not a significant environmental impact problem. These observa-
tions have been made where natural rainfall measured under a stack plume
showed no significant differences in pH from rainfall measured at stations
not under the stack plume. Pell (1975) also questions whether detectable
amounts of acid droplets will reach ground level receptors.
The potential for stack and cooling tower plume interaction is
dependent on the relative positions of these release points in both the
horizontal and vertical planes. The stack is about 800 feet north of
the nearest cooling tower and about 1650 feet north northwest of the
4.5-7
-------
second tower. The release points are vertically separated by 610 feet.
The six wind direction sectors that would most likely permit plume
interaction (NNW-NNE and SSE-SSW) occur only 39 percent of the time
based on yearly observations at Little Rock, Arkansas. Considering the
vertical and horizontal spread of the release points, the frequency of
time the wind directions are in the correct sectors and the generally
short length of the visible plumes, frequent interactions of cooling
tower and stack plumes are not expected. The relationship of these
interactions with ground level impacts is not known. Based on the above
studies, little impact is expected from the interaction of stack and
tower plumes.
4.5-8
-------
Table 4.5-1
Independence Steam Electric Station
Natural Draft Cooling Tower Characteristics
Number of Towers
Height
Diameter at Base
Diameter at Mid-height
Diameter at Top
Circulatory Flow Rate (peak)
Maximum Heat Load
Evaporation (Maximum 2.46 percent)
Drift (Maximum 0.01 percent)
393 feet (119.8 meters)
328 feet (100 meters)
210 feet (64.1 meters)
211 feet (64.3 meters)
310,000 gpm (19.6 m3/s)
41 x 108 Btu/hr (2.87 x 108 cal/s)
7,650 gpm (0.48 m3/s)
31 gpm (0.002 m3/s)
4.5-9
-------
Table 4.5-2
Percent Occurrence and Saturation Deficit
Little Rock AFB, Arkansas; Data Record 1956-1962
Dry Bulb
Temperature
(°F)
80-97
60-80
39-60
Total
Saturation
Moisture
Content3
(Q/m3)
33.67
18.87
9.55
Percent Occurrence/Saturation
Deficit (g/m3)
0
0.0/0.0
2.1/0.0
2.3/0.0
4.4
Wet Bulb
2
0.1/1.96
8.6/1.16
6.7/0.63
15.4
Depression (°F)
4.
0.8/3.80
8.3/2.25
6.4/1.22
15.5
6
1.7/5.56
5.9/3.28
5.8/1.78
13.4
Average for dry bulb interval
4.5*10
-------
4.6 SULFATES ANALYSIS
Although no national ambient air quality standards have been adopt-
ed for aerosol sulfates, concern has been expressed about this class of
atmospheric particulates. Because of this concern and because of the
probable association between sulfur compound emissions from power plants
and ambient sulfate levels, a discussion of the sulfates question is
provided in this section. This question is a particularly complex one,
and the studies which have been conducted in relation to it provide no
conclusive means of evaluating the effect which the emissions from a
single source will have on sulfate levels. This section therefore
focuses more on (a) some of the general aspects of the sulfates question
and (b) a discussion of sulfate concentrations which have been measured
in Arkansas.
4.6.1 General Analysis
4.6.1.1 Introduction
Sulfates are important because of their reported effect on human
health, their potential effect on rainfall acidity, and their fairly
well established relationship to impairment of visibility. One source
of sulfate formation is the oxidation of sulfur dioxide (SCL) after the
latter is released to the atmosphere. The thermodynamics of simple
oxidation are such that almost complete conversion of SCL to SO- would
occur at ordinary temperatures if the reactions were not kinetically
limited.
In actuality, the conversion of SOp to sulfates is a very compli-
cated and incompletely understood phenomenon. It is often assumed that
S02 reacts according to a first-order chemical process, one of the
simplest encountered in chemical kinetics. A first order reaction is an
attractive process when performing diffusion calculations because a
minimum of mathematical difficulty is involved. More complicated pro-
cesses in which the reaction rate depends non-1inearly on amounts of
material present are very difficult to incorporate in diffusion estimates,
An examination of the literature concerning the reactions of S0?
within the atmosphere reveals widely differing estimates of reaction
4,6-1
-------
rates. Several extensive literature surveys have been prepared (Bufalini,
1971; Harrison, Larson and Hobbs, 1975; Urone and Schroeder, 1969;
Kellogg and others, 1972; Levy, Drewers and Hales, 1976). Some in-
formation is also contained in "Air Quality Criteria for Sulfur Oxides"
(U. S. Public Health Service, 1969b). A brief discussion of information
presented in these and other references is given below for the purpose
of documenting some of the conclusions which have been drawn regarding
the reaction rate of SCL and the transport, concentration and effect of
resulting sulfates.
4.6.1.2 Sulfate Formation
Sulfur dioxide (SCL) is a gas at ordinary temperatures. It is a
product of some natural activities (e.g., volcanic activities) as well
as man's activities. Principle sources of S0? related to man are the
roasting of metal sulfide ores and the combustion of sulfur-bearing
fuels. The latter is the most widespread source of S0?, although the
former produces large amounts of S02 in isolated locations.
If there were no removal mechanisms for SOp, it would continue to
build up in the atmosphere. However, no such global buildup has been
observed. All of the important removal processes result in eventual
oxidation of SCL to a higher oxide such as SO- or SO.. This review is
concerned with the conversion of SO^ to sulfates within the atmosphere.
Sulfates that form as a result of intake by vegetation, washout, dry
deposition, gaseous reaction on solid materials, and gaseous absorption
by bodies of water are not considered.
Sulfates can form in the atmosphere by oxidation of S02 through
three basic types of mechanisms: homogeneous gas phase reactions, aqueous
phase reactions, and heterogeneous phase reactions. Various mechanisms
falling within these categories have been studied in the laboratory. In
the atmosphere, the situation is far more complex than in the controlled
reaction environment of the laboratory. Emphasis is placed in this
review on information obtained from studies in the uncontained, uncon-
trolled ambient atmosphere where the oxidation of S02 is undoubtedly
caused by mechanisms falling within all of the above categories.
4.6-2
-------
Thermodynamics
That S02 can be oxidized directly to sulfates is evidenced by the
study of the equilibrium thermodynamics of the following chemical reac-
tions:
(1) S02(gas) + 1/2 02(gas) = S03(gas)
(2) S03(gas) + H20(liquid or gas) = H2S04(liquid)
At temperatures commonly obtained in stack gases and ambient atmospheres,
the chemical equilibrium of the first reaction strongly favors the for-
mation of S03 (Dow Chemical Company, 1960). The rate at which reaction
(1) would proceed is not determined by thermodynamics but by complex
kinetic mechanisms. In other words, although the thermodynamics of
reaction (1) imply almost complete conversion of S02, the rate at which
the reaction occurs would be dependent on many other factors not implied
in the simple chemical equilibrium formula.
The hydration of S03 to H2SO. is also thermodynamically favored at
ambient atmospheric temperatures. Thus, the thermodynamic potential is
high for sulfate formation as a result of oxidation of SCL. Whether or
not the conversion actually occurs (or at what rate) is a matter of
chemical kinetics and not thermodynamics.
Photo-Oxidation
The photo-oxidation of S02 has been reported for various concen-
trations of SOp and relative humidities. The rates vary from 0.05 per-
cent per hour to 0.68 percent per hour. This corresponds to half-lives
of 1380 hours and 101 hours respectively. On a quantum yield basis, the
results vary by a factor of 100 (Bufalini, 1971).
Reaction In a Plume
Experiments on power plant plumes and smelter plumes yield widely
varying results. Experiments performed on plumes from TVA plants, for
example, show oxidation rates varying from 0 percent per hour to 110
percent per hour (Gartrell, Thomas, and Carpenter, 1963). The TVA
experiments indicate a strong influence of ambient relative humidity on
reaction rate.
4.6^3
-------
Experiments performed at the Four Corners Generating Station in the
San Juan Valley of northwestern New Mexico (University of Utah Research
Institute, 1975) gave much lower conversion rates than the TVA study.
The Four Corners study consistently showed conversion rates less than
one percent per hour.
The wide variability of oxidation rates can be explained in part by
variations in meteorological conditions. Relative himidity is clearly
an important variable to be considered as is the degree of dilution due
to turbulent mixing. From reported data, it would appear that S0?
conversion occurs most rapidly in atmospheres with a relative humidity
greater than 70 percent. That is, with other meteorological factors
remaining approximately the same, atmospheres with relative humidity
greater than 70 percent show a significantly greater rate of sulfate
formation than atmospheres with relative humidity less than 70 percent.
There are also indications that heterogeneous reactions of SOp with
airborne particulates can be much more rapid than homogeneous gaseous
reactions of SO^ in air (Foster, 1969; Matteson, Stober and Luther,
1969; Freiberg, 1974). It has been observed that oxides of aluminum,
calcium, iron, lead, chromium, and vanadium are very efficient in re-
acting with S02 even in the absence of ultraviolet light. Such oxides
are often prevalent in atmospheric particulates resulting both from
nature and from a variety of man's activities. For example, one impor-
tant source of many of the above oxides is from the combustion of
fossil fuels that contain mineral matter.
The variability in reaction rate of S0? within plumes noted above
is not unexpected. It is reasonable to recognize the possibility that
power plants burning coal of different composition provide different
environments for S0? reaction, and such environments would be signifi-
cantly different from those environments provided by, say, ore smelters
and refineries. Reactions within large urban environments are also
significantly different because of the types of nucleating species which
arise from such sources as automobiles (Bufalini, 1971).
4.6-4
-------
4.6.1.3 Concentrations and Transport of SOg and Sulfates
Concentration Patterns
The trends in ambient concentration of S02 and sulfate throughout
the United States have recently been analyzed (Altschuller, 1976;
Electric Power Research Institute, 1976). Substantial decreases in
ambient S02 concentrations have been noted which correlate well with
corresponding reductions in SCL emissions. Measurements of ambient S02
levels at both urban and nonurban stations have indicated a decline in
concentrations over the past 10 years.
However, ambient sulfate concentrations have not decreased cor-
respondingly. For example, at sites in New York City, Newark, Baltimore,
Indianapolis, Chicago, and St. Louis, S02 concentrations decreased by as
much as 60 to 75 percent during the period 1963 to 1972. However sul-
fate concentrations definitely decreased at only 4 of these 6 locations,
and the overall average decrease was only 13 percent (Altschuller,
1976).
The apparent lack of correspondence between S02 emissions and sul-
fate concentrations has been further noted by comparison between several
midwestern U. S. air quality control regions (Altschuller, 1976). In
regions containing such cities as Detroit, Pittsburg, Cleveland, Chicago,
and St. Louis, the 1972 annual S02 emissions ranged from 700,000 to
1,200,000 tons per year, and annual average sulfate concentrations were
16.7 yg/rn . In other midwest air quality control regions containing the
cities of Columbus, Dayton, and Indianapolis, annual S02 emissions were
about 100,000 to 200,000 tons per year, but the average sulfate con-
centration was 13 yg/m . In other words, regions with 5 to 10 times
higher S02 emissions had sulfate concentrations only about 28 percent
higher. Based on these figures, ambient sulfate concentrations do not
appear to be closely correlated with S02 emissions originating within
the same air quality control region.
The anomalous differences between trends in S02 emissions and
ambient sulfate concentrations may be related to a shift toward usage of
lower sulfur fuel at low-level emission sources combined with larger
4.6-5
-------
quantities of SCL emissions from plants using tall stacks which emit at
higher levels in the atmosphere (National Academy of Sciences, 1974).
Thus, the urban monitoring stations measure less SCL from local low-
level sources, whereas the lack of a similar decline in sulfate con-
centrations can be attributed to an increasing exposure to sulfates
formed in the atmosphere and transported from distant elevated sources,
possibly over distances of hundreds of kilometers (Altschuller, 1976;
Electric Power Research Institute, 1976).
Transport of SO,, and Sulfates
The oxidation of SCL can be slow enough in many areas to explain
sulfate formation over widespread regions possibly hundreds of kilo-
meters downwind from major urban SCL sources. Zones of high sulfate
concentrations in the northeastern United States have been identified
and have been attributed to urban contributions beginning as far away as
the midwest (Electric Power Research Institute, 1976).
In situations favoring rapid conversion of SCL to sulfates, ex-
posure to sulfates over widespread areas can be assumed to occur on the
basis of transport of sulfate particles. The tendency of sulfates to
undergo transport depends on particle size and on processes which
remove suspended sulfates. Sulfate particle size measurements (Electric
Power Research Institute, 1976; Weiss and others, 1977; Hidy and others,
1974) have indicated that over 80 percent of sulfate particles have mass
median diameters less than 2 microns. Sub-micron aerosol species have
been shown to be dominated in many cases by sulfuric acid, sulfate of
ammonia, or both (Weiss and others, 1977; Hidy and others, 1974; Miller
and others; 1975). Particles in the sub-micron size range can stay
suspended in the atmosphere for long periods of time in the absence of
removal processes such as washout and coagulation.
The small size of sulfate particles implies that they could well
constitute a regional problem extending over many miles. The implica-
tion is that sulfate concentrations in a specific area can be due to SCL
emissions from sources far removed from the area. Such an implication
is based on a great deal of empirical information. However, this does
4.6-6
-------
not mean that, under appropriate conditions, sources of SC^ can not
contribute to sulfate concentrations in nearby areas. Time is the most
pertinent parameter to consider in the formation and transport of sul-
fates. If air mass movement is persistent, but the conversion rate is
slow, sulfate exposure will reach a maximum at a point distant from the
source. Conversely, if the air mass is stagnant, SCk may remain in the
area long enough for the highest sulfate exposure to occur in the region
proximate to the SCL source.
4.6.1.4 Visibility Effects of Sulfates
Sulfates are of interest in part because of their effect on the
visible (optical) properties of the atmosphere. One of the most effec-
tive mechanisms resulting in visibility impairment is that of light
scattering by aerosols (particles and droplets suspended in the atmos-
phere). The effectiveness with which aerosols scatter light depends on
the size of the aerosol. Visible light is most effectively scattered by
aerosols whose radii are comparable to the wave length of the light. .
Visible light contains wave lengths from 0.4 to 0.7 micron (10~ meter).
It is found that aerosols of diameters between about 0.1 and 1.0 micron
are most effective in scattering light.
It has been noted in several investigations of suspended particu-
late matter that sulfates tend to dominate the sub-micron aerosol
species both in urban and rural areas, and that visibility impairment is
directly related to sulfate concentration (Weiss and others, 1977; Hidy
and others, 1974). Aerosol sulfates, therefore, can contribute to visi-
bility impairment to a greater degree than might be suggested strictly
on the basis of mass concentration.
4.6.1.5 Effects of Flue Gas Desulfurization (Scrubber) Systems on Sulfates
Flue gas desulfurization devices, commonly called scrubbers, are a
type of pollution control equipment placed at some point in an exhaust
gas stream to remove sulfur oxides which formed as the result of fuel
combustion or process operations. Ostensibly, any method of S02 removal
will lead to reduction in ambient sulfate formation, given that a fixed
percentage of emitted SOp will eventually convert to one sulfate form or
4.6^7
-------
another. Ideally, then, scrubbers used to control combustion-related
sulfur oxides emissions have the beneficial effect of reducing both
ambient S(L concentrations and byproduct su'lfate concentrations, assuming
that the same quality fuel would be used with or without scrubbers, and
further assuming that sufficient conditioning of fuel gases (such as re-
heat) is applied to scrubbed gases so that the plume rise characteristics
of scrubbed and non-scrubbed releases are similar.
In reality, of course, other factors must be considered. The in-
centive to use low-sulfur fuel, for example, is not as great if scrubbers
are installed, so that the net effect at any given installation may be
little or no decrease in S(L emissions. Furthermore, the more humid
plume environment of scrubbed emissions may promote more rapid con-
version of sulfur oxides to sulfates, possibly resulting in greater
impact on local sulfate levels. In addition, there could be carryover
of sulfate droplets which escape scrubber demisting equipment, with
subsequent fallout of these droplets at distances fairly close to the
stack.
Literature concerning the direct effect of scrubber usage on
ambient sulfate formation is scant. The general assumption is that any
method or reducing SOp emissions will also eventually result in lower
sulfate concentrations, whether this be accomplished through use of
scrubbers, fuel with lower sulfur content, fuel cleaning, or other
means. The exact impact on sulfate levels resulting from any particular
scrubber application depends on the specific scrubbing technique em-
ployed, fuel characteristics, stack characteristics, geographical and
average atmospheric conditions, and other interacting factors.
4.6.2 Measured Sulfate Concentrations In Arkansas
4.6.2.1 Introduction
This section summarizes available Arkansas ambient atmospheric
sulfate data and examines possible sulfate sources by mapping sulfur
oxide emission source strengths on a local and regional scale. A brief
review of meteorological conditions occurring simultaneously with epi-
sodes of high sulfate concentrations is also provided in an initial
4.6-8
-------
attempt to identify meteorological factors important in the formation
and transport of sulfates. It should be understood that the results
described in this section are not represented to be a comprehensive
analysis of sulfate concentrations in Arkansas, but rather an overview
of the subject based on a limited scope examination of readily available
data.
4.6.2.2 Data Source
The data base used in this analysis was collected and provided by
the Arkansas Department of Pollution Control and Ecology. It consists
primarily of four years of sulfate concentration measurements (1973-
1976), at a total of 76 monitoring stations located throughout the
state of Arkansas. High volume samplers were used at the monitoring
stations to collect 24-hour midnight to midnight air samples every sixth
day during the four year interval. These samples were then analyzed by
the turbidimetric barium sulfate technique to determine the 24-hour
3
average sulfate concentration, in yg/m , on the given day for each
station. Examination of this data set disclosed no obvious seasonal or
area biases in the distribution of the data.
The data were initially examined to determine which days had high-
est sulfate concentrations. In order to make such a determination, the
following criterion was used. A high sulfate concentration day was
defined as any day on which 75 percent or more of the stations that
sampled on that day reported sulfate concentrations of 10 ug/m or more.
A total of 26 days satisfied this criterion and were thus identified as
the high sulfate concentration days. These days are listed in Table 4.6-1
in order of decreasing percentage of reporting stations with concentra-
ions of 10 yg/m or more. This sample set was then used to determine,
first, the seasonal distribution and, second, the area distribution of
high sulfate concentrations.
4.6.2.3 Seasonal Distribution
The seasonal distribution of these 26 high concentration days is
presented in Figure 4.6-1. This bar graph shows that 65 percent of the
4.-6-T9
-------
days with high sulfate concentrations from 1973-1976 occurred during the
four month period June through September.
4.6.2.4 Geographic Distribution
The objectives of the geographical analysis were to determine which
monitoring stations reported the highest and lowest mean sulfate concen-
trations for the 26 high concentration days, and then to determine
whether or not there was any pattern in the geographic location of these
stations within the state. To achieve these objectives, the geometric
mean sulfate concentration from all of the high sulfate concentration
days was calculated for each of the 76 monitoring stations.
In order to screen out any stations with unrealistically high or
low mean values due to a sporadic sampling record, an initial reduction
was made in the number of monitoring stations under consideration. Any
station which reported on 50 percent or less of the high concentration
days was dropped from analysis. The remaining 42 stations are ranked in
Table 4.6-2 in order of decreasing geometric mean sulfate concentrations.
The number of high concentration days on which the station actually
reported is also listed. This table shows that the six monitoring sta-
tions which reported the highest mean concentrations were:
Jonesboro CHFS
Blytheville FS
Jacksonville PO
Mt. Home PO
Eldorado PO/M OIL
West Memphis FS 3
Conversely the six monitoring stations which reported the lowest mean
concentrations were:
Harrison FS
Crossett FD/PO
Van Buren FS
Fayet P&C Bldg.
Pine Bluff MC
Hope 2
The geographic locations of these stations are indicated in Figure
4.6-2. An examination of this map reveals that five of the six stations
4.6-10
-------
that reported high mean sulfate concentrations are located in the north-
east quadrant of the state. Furthermore, the figure also shows that the
stations reporting the lowest mean sulfate concentrations are located in
either the western or southern portion of the state.
4.6.2.5 Emission Rates and Emission Densities
Total sulfur oxides emissions and emission densities for Arkansas
and its neighboring states were estimated and compared. Total emissions
are based on 1972 estimates available from the National Emissions Data
System (USEPA, 1974). Emission densities were obtained by dividing
estimated emission by the surface area of each state. Total emissions
and emission densities are shown in Table 4.6-3. When evaluating these
numbers, it is important to remember that emission density is an average
value for the entire state, even though the majority of the emissions
may be concentrated within a small area of that state. It should also
be remembered that these figures pertain to the year 1972, prior to the
sulfate measurement period analyzed. It is assumed that the ratio of
emission densities is applicable to later years.
In Figure 4.6-3, the 1972 sulfur oxides emission density is speci-
fied for each particular state. This figure indicates that the states
to the north and east of Arkansas have the highest emission densities
(Missouri, Illinois, Kentucky, Tennessee and Alabama); whereas, the
states to the west have relatively low emission densities (Kansas,
Oklahoma and Texas). Arkansas had the lowest sulfur oxides emission
density in the entire 11 state region. Relationships between emissio'n
densities also pertain to total sulfur oxide emissions. That is, total
estimated 1972 emissions were lowest in Arkansas and highest in the
states north and east of Arkansas.
4.6.2.6 Arkansas Point Source Emissions
An additional analysis was performed comparing the 1976 total
sulfur dioxide point source emissions of different counties within the
state of Arkansas. Table 4.6-4 presents the emission estimates for
nearly all of the counties for 1976. These emission estimates are also
indicated on the county map of Arkansas in Figure 4.6-4. An examination
4.6-11
-------
of this figure reveals that the sulfur dioxide point source emission
estimates are greatest in the southern half of the state (El Dorado,
Saline, Hot Springs and Columbia Counties). The emission estimates are
lowest in the northern half of the state, with the exception of Benton
County in extreme northwest Arkansas. It is of interest to note that
three of the six monitoring stations which reported the highest geo-
metric mean sulfate concentrations (Jonesboro, Blytheville and West
Memphis) are located in counties which had low estimated total sulfur
dioxide point source emissions. The implication is that these high
concentrations are due to non-local sources either outside the state or
in a different area of Arkansas.
4.6.2.7 Meteorological Factors
Atmospheric Mater Vapor
Previous studies (Electric Power Research Institute, 1976) have
indicated that there seems to be a strong positive correlation between
high ground level sulfate concentrations and the moisture content of the
atmosphere (expressed as dew point temperature). Consequently, an
additional analysis was performed to determine whether or not this
strong positive correlation was evident on the high concentration days
cited in this report. Meteorological data from Little Rock, located
approximately in the middle of the state, were used for this purpose.
To perform this analysis, 10-year (1967-1976) mean monthly dew
point temperatures were obtained for Little Rock. The observed dew
point temperatures were then obtained for Little Rock at 1200 Greenwich
Mean Time (GMT) for each of the high sulfate concentration days. A
comparison between the observed and mean monthly dew point temperatures
was then made for each of these days. The results of these comparisons,
as presented in Table 4.6-5, indicate that generally the observed 1200
GMT dew point temperature for a given high concentration day does not
have a significant positive deviation when compared to the average dew
point temperature for that month. Thus, a strong positive correlation
between the high sulfate concentration days and days with unusually high
dew point temperatures was not observed.
4.6-12
-------
Atmospheric Dynamics
Atmospheric dynamics present during periods of high sulfate concen-
trations were studied to gain insight into the conditions and possible
sulfur oxide emission source locations associated with high concen-
trations. The 700 mb (approximately 3000 m MSL) and 850 mb (approxi-
mately 1500 m MSL) synoptic weather analysis maps for the high con-
centration days were reviewed for similarities in dynamic patterns. The
usual pattern included a large air mass of negligible horizontal pressure
gradient covering a large portion of the southeast with the jet stream
located near or above the northern edge of the United States. Figure
4.6-5 is an illustration of a typical 850 mb map on a high sulfate
concentration day. Lacking a horizontal pressure gradient, the air is
driven by local forces only, and there is no organized regional flow
pattern. Under these conditions the upper level wind tends to be weak
(less than 5 m/s) and the direction varies rapidly in time and over
short distances.
If the air flow patterns over Arkansas could be defined with suffi-
cient precision, the path of a particle arriving at a receptor in Arkan-
sas could be traced backward to its source. This type of study is com-
monly called a trajectory analysis. The National Weather Service 850 mb
and 700 mb wind data are collected once every 12 hours at stations lo-
cated roughly 300 km apart. Regardless of the trajectory technique
used, when the winds are driven by local forces only, the resolution of
these data in both time and space is not sufficient to give a meaningful
result. Stated differently, any trajectory technique (Petterssen, 1956;
EPRI, 1976) using these data assumes that (a) each reading is repre-
sentative of the winds for 12 hours at a given point, and (b) there is a
continuous, relatively small change in the winds over the 300 km distance
between stations.
Neither of these assumptions are valid when there is no regional
wind driving force. In the 10 examples analyzed, wind directions at the
upper air stations nearest to Little Rock varied more than 90° and often
some were nearly 180° apart. It was also apparent from analysis of the
850 mb and 700 mb charts that wind direction was strongly a function of
4..6-13
-------
height. There was often a complete reversal of direction between the
two levels. Thus, air at different elevations above Arkansas flowed
from different directions at the time when high sulfate concentrations
occurred. Trajectory analysis would require greater spatial and tem-
poral resolution of the data.
4.6.2.8 Summary
On the basis of the information examined, no definitive conclusions
can be reached concerning the ultimate sources of emissions which even-
tually result in measured high sulfate concentrations in Arkansas. High
sulfate episodes are most frequent during summer months and occur pre-
dominantly when large-scale air mass movement is sluggish, thus pro-
viding a mechanism for accumulation of sulfates over a large area.
Comparison of sulfur oxide emission densities between Arkansas and
adjoining states implies that regional emissions are an important factor
in Arkansas sulfate concentrations. Transport of sulfates and sulfate
precursors from areas outside the state are further implied by the
tendency toward highest sulfate concentrations in the northeast corner
of the state where local sulfur oxide emissions are fairly low.
4.6-14
-------
Table 4.6-1
High Sulfate Concentration Days From 1973-1976C
Percentage of
stations with
concentrations
Percentage of
stations with
concentrations
Date
9/13/73
6/11/76
8/20/73
8/10/76
7/28/74
6/4/74
7/29/75
6/28/74
6/29/75
8/26/73
10/7/73
4/12/76
7/5/76
1/5/74
>JO ug/mj
100
100
88
100
98
97
97
95
93
91
91
91
91
90
Date
8/21/74
8/20/73
5/24/75
5/24/75
5/30/76
4/30/76
1/11/74
8/22/76
8/4/76
2/27/73
6/5/76
9/8/74
2/6/76
9/20/74
89
88
88
88
87
85
84
84
83
79
79
77
75
75
aDays when 75 percent or more of the reporting stations
had sulfate concentrations of 10 yg/m3 or more
4.6-15
-------
Table 4.6-2
Stations Which Reported on Greater Than 50 Percent of the
High Sulfate Concentration Days8
Number of Geometric Mean
Rank Station Name Reporting Days S04 Concentration
1 Jonesboro CHFS 26 21.11
2 Blytheville FS 26 20.34
3 Jacksonville PO 26 19.61
4 Mt. Home PO 15 19.31
5 Eldorado PO/M Oil 26 19.25
6 W. Memphis FS 3 25 19.11
7 , Sherrill 17 18.57
8 Little Rock WB 26 18.52
9 Helena FS 26 18.40
10 Plum Bayou School 17 17.97
11 Earle FS 25 17.58
12 Magnolia WM 26 16.99
13 Bryant School 25 16.86
14 Stuttgart PAS 24 16.76
15 Conway Mun Bldg 25 16.72
16 Stuttgart HMS 25 16.21
17 Hardy Arkmo PC 17 16.19
18 Russellville WTEL 26 16.16
19 W. Memphis Cent. 24 16.09
20 Forrest City M 25 15.55
21 Hope PO 25 15.41
22 Dumas PO 14 15.25
23 Ft. Smith FS1 17 15.23
24 England CC 19 15.03
25 Rose City PO 24 14.64
26 Paragould MFS 23 14.44
27 Texarkana REHB 25 14.41
28 FS&L Stuttgart 24 14.20
29 Camden FS 24 14.16
30 Hot Springs FS/NE 24 14.13
31 NW Ark RPC 15 14.03
32 Rogers 17 14.01
33 Arkadelphia FS 25 13.75
34 Stuttgart AP 19 13.45
35 Stuttgart KWAK 19 13.34
36 - Altheimer TWR 16 13.27
37 Harrison FS 25 13.20
38 Crossett FD/PO 24 12.91
39 Van Buren FS 17 12.76
40 Fayet P&C Bldg 26 12.52
41 Pine Bluff MC 23 11.87
42 Hope 2 16 11.69
aRanked in order of decreasing geometric mean sulfate concentrations
4.6-16
-------
Table 4.6-3
I
-sj
Estimated 1972 Total Sulfur Oxides Emissions and Emission Density
for Arkansas and Neighboring States
Total Sulfur Oxides Emissions
Area
Sulfur Oxides Emission
State
Arkansas
Texas
Oklahoma
Kansas
Missouri
Illinois
Kentucky
Tennessee
Alabama
Mississippi
Louisiana
(kq/yr x 108)
.40
7.52
1.31
.87
11.51
20.40
12.01
11.78
8.82
.51
1.66
(km2 x 105)
1.38
6.92
1.81
2.13
1.80
1.46
1.05
1.09
1.34
1.24
1.26
Density (kg/yi
290
1,090
720
410
6,390
13,970
11,440
10,810
6,580
410
1,330
Note: Emission density was obtained for each state by dividing total emissions by surface area,
Source: USEPA, 1974.
-------
Table 4.6-4
Total Sulfur Dioxide Point Source Emissions
for Counties in Arkansas, 1976
County
Total Sulfur
Dioxide Point
Source Emissions
(kg/yr x IP3)
Arkansas
Ashley
Benton
Boone
Bradley
Carroll
Chicot
Clark
Clay
Cleburne
Columbia
Conway
Craighead
Crawford
Crittenden
Cross
Dallas
Desha
Drew
Faulkner
Franklin
Garland
Grant
Greene
Hemps tead
Hot Springs
Howard
Independence
Izard
Jackson
Jefferson
Johnson
Lafayette
5
5,805
17,308
0
120
0
4
10
2
0
4,903
1,189
101
0
0
0
30
201
2
0
936
65
46
0
0
6,227
62
1,501
0
141
11,365
0
398
County
Lawrence
Lee
Lincoln
Little River
Logan
Lonoke
Marion
Miller
Mississippi
Monroe
Montgomery
Nevada
Ouachita
Phillips
Pike
Poinsett
Pope
Prairie
Pulaski
Randolph
St. Francis
Saline
Scott
Sebastian
Sevier
Sharp
Union
Van Buren
Washington
White
Woodruff
Yell
Total Sulfur
Dioxide Point
Source Emissions
(kg/yr x IP3)
0
0
0
1,434
0
0
0
1,540
19
1
0
31
2,974
7,909
8
1
1
0
1,202
0
1,084
9,512
0
5
0
0
20,192
0
0
10
1,268
0
Source: ADPCE, 1977
4.6-18
-------
Table 4.6-5
Difference Between Little Rock Dew Point on High Sulfate
Concentration Days and Mean Monthly Dew Point
Date
2/27/73
8/20/73
8/26/73
9/13/73
10/7/73
1/5/74
1/11/74
6/4/74
6/28/74
7/28/74
8/21/74
9/8/74
9/20/74
5/24/75
6/29/75
7/29/75
2/6/76
4/12/76
4/30/76
5/30/76
6/5/76
6/11/76
6/5/76
8/4/76
8/10/76
8/22/76
5/26/77
5/27/77
Observed Dew Point
at 1200 GMT (°C)a
0
18
19
19
19
-3
-2
17
15
20
18
16
16
19
21
22
-4
6
5
18
12
15
16
16
17
Mean Monthly .
Dew Point (°C)D
0
20
20
17
11
0
0
19
19
21
20
17
17
19
19
21
0
10
10
14
19
19
21
20
20
20
14
14
Observed
- Mean (°C)
0
-2
-1
+2
+8
-3
-2
-2
-4
-1
-2
-1
-1
0
+2
+1
-4
-4
-5
+4
*
-8
-5
-4
+2
+3
*Data not available.
Source:
a U. S. Department of Commerce, 1973-1977,
U. S. Department of Commerce, 1967-1976.
4.6-19
-------
h65% OF HIGH J
ONCENTRATION~H
DAYS I
6.
NUMBER OF
HIGH
CONCENTRATION
DAYS PER
MONTH
2
2
— 1 —
2
2
5
3
6
3
AVG.-2.2
1
J F M A M
J J
MONTH
A S 0 N 0
Figure 4.6-1.
Number of high sulfate concentration days (>10 yg/m at 75% or
more of reporting stations) per month.
4.6-20
-------
• MT. HOME (4)
Harrison (37)
iFayet (40)
Van Buren (39)
BLYTHEVILLE
•
JONESBORO (1)
W. MEMPHIS (6)<
JACKSONVILLE (3)
Pine Bluff (41)
Hope (42)
ELDORADO (5) Qossett (38)
UPPER CASE indicates stations with highest concentrations days.
Lower Case indicates stations with lowest concentrations days.
Parentheses enclose station rank.
Figure 4.6-2. Location of 6 highest and 6 lowest sulfate concentration stations.
4.6-21
-------
Figure 4.6-3. 1972 sulfur oxides emission densities (kg/yr-km ),
4.6-22
-------
*No emissions indicated.
Source: ADPCE, 1977.
Figure 4.6-4. Arkansas 1976 sulfur dioxide point source emissions by county
(kg/yr x 103).
4.6-23
-------
Figure 4.6-5.
Typical 850 mb chart for a day of high sulfate concentrations
in Arkansas.
4.6-24
-------
4.7 TRACE ELEMENT RELEASES
A listing and quantitative analysis of significant trace elements
found in the coal to be used at the Independence Steam Electric Station
is shown in Table 4.7-1. It is assumed that, with the exception of
mercury, these elements will appear in the ash residue of the combustion
process and will be subject to the removal mechanisms applicable to the
total ash formed - that is, 20 percent of the total will fall out prior
to entering the electrostatic precipitators, and 99.5 percent of the
remainder will be removed by the precipitators. Mercury will be pre-
dominantly liberated as an elemental mercury vapor, and it can be con-
servatively assumed that all of the mercury in the coal will be emitted
to the atmosphere. Based on the maximum trace element content values in
Table 4.7-1 and on fuel consumption rates for coal with Btu content at
the lower end of the coal contract range (8200 Btu/lb), maximum trace
element emission rates for the peak operating level of 110 percent of
rated capacity have been estimated. These rates are reported in Table
4.7-2.
By comparing trace element emission rates with sulfur dioxide
emission rates, it is possible to derive estimates of trace element
ambient concentrations through proportional reduction of the SOg. ambient
concentrations obtained by computer modeling calculations. The diffi-
culty lies in interpreting the significance of trace element ambient
concentrations thus derived.
As of this time, there are no national or State of Arkansas ambient
air quality standards for trace elements. Reference can be made, how-
ever, to industrial hygiene standards as an approximate basis of com-
parison. Occupational exposure standards have been adopted by the Occu-
pational Safety and Health Administration (OSHA) for each of the ele-
ments listed in Table 4.7-1. These standards are presented in Table
4.7-3 in terms of either an 8-hour average concentration or a short-term
ceiling concentration which is not to be exceeded.
4.7-1
-------
At peak load with both generating units in operation, S(L emissions
are estimated to be roughly between 10,000 and 15,000 pounds an hour.
This constitutes an emission rate which is 4 to 6 orders of magnitude
higher than maximum trace element emission rates as listed in Table 4.7-2.
Consequently, trace element ambient concentrations will be 4 to 6
orders of magnitude lower than S02 concentrations and, therefore, con-
siderably below OSHA occupational exposure standards. For example, the
lowest OSHA ceiling concentration standard, which is roughly analogous
3
to a 30-minute concentration, is the beryllium standard of 5 yg/m .
This value is 2 orders of magnitude less than the Arkansas 30-minute S02
standard, but since beryllium emissions are estimated to be about 6
orders of magnitude less than S02 emissions, beryllium concentrations
will be well below the OSHA standard.
Although OSHA standards were developed for different purposes and
for different populations than were ambient air quality standards, the
fact that trace element concentrations are estimated to be orders of
magnitude below the OSHA standards is a reasonable indication that
adverse health effects attributable to trace element emissions will be
avoided. It is not possible to judge if continuous trace element emis-
sions will have a cumulative effect on vegetation and soil conditions,
but again the extremely low concentrations involved suggest that adverse
effects are unlikely.
4.7-2
-------
Table 4.7-1
Coal Trace Element Analysis
(Dry, Whole Coal Basis)
Average Content,
Content Range (+_ 2 Std. Dev.),
Percent by Height
Element
Antimony
Arsenic
Beryllium
Boron
Cadmium
Chromium
Copper
Fluorine
Lead
Lithium
Manganese
Mercury
Nickel
Silver
Vanadium
Zinc
Percent by Weight
0.00008
0.00007
0.00005
0.0142
0.0001
0.0007
0.0013
0.0085
0.0012
0.00051
0.0008
0.00001
0.0008
0.00004
0.0018
0.0016
Minimum
0
0
0.00001
0.006
0
0.0003
0.0007
0.0015
0
0.00005
0.0004
0.000001
0
0.00002
0.001
0
Maximum
0.0002
0.00015
0.00009
0.0224
0.00015
0.0011
0.0019
0.0155
0.0032
0.00097
0.0012
0.00002
0.0018
0.00006
0.0026
0.0044
4.7-3
-------
Table 4.7-2
Estimated Maximum Emission Rates of Trace Elements
Element Emission Rate, lb/hra
Antimony 0.02
Arsenic 0.01
Beryllium 0.01
Boron 1.82
Cadmium 0.01
Chromium 0.09
Copper 0.15
Fluorine 1.26
Lead 0.26
Lithium 0.08
Manganese 0.10
Mercury 0.41
Nickel 0.15
Silver 0.01
Vanadium 0.21
Zinc 0.36
Based on maximum coal trace element content, both
generating units operating at peak load, and
assuming coal heat content of 8200 Btu/lb; all
elements except mercury assumed to be in
particulate form and subject to removal by
particulate control systems; all mercury
in coal assumed to be vaporized and to be
emitted into atmosphere.
4.7-4
-------
Table 4.7-3
Occupational Safety and Health Administration (OSHA)
Workplace Exposure Standards
8-Hour Time Ceiling
Weighted Average Concentration
Material (ng/m3) (ug/m3)
Antimony and compounds 500
Arsenic and compounds 500
Beryllium and compounds 2 5
Boron (as boron oxide) 15000
Cadmium fume 100 600
Chromium, metal and insoluble salts 1000
Copper fume 100
Fluorine 200
Lead and its inorganic compounds 200
Lithium (as lithium hydride) 25
Manganese - 500
Mercury 100
Nickel, metal and soluble compounds 1000
Silver, metal and soluble compounds 10
Vanadium (as V^Og fume) - 100
Zinc (as zinc oxide fume) 5000
4.7-5
-------
4.8 REFERENCES
Altshuller, A. P., 1976, Regional transport and transformation of sulfur
dixoide to sulfate, in the U. S. Journal of the Air Pollution
Control Association, vol. 26, no.4, p. 318-324.
Arkansas Department of Pollution Control and Ecology, 1977, Unpublished
data printouts.
Arkansas Power & Light Company, 1974a, Amendment to air permit application
form. Submitted to State Department of Pollution Control and
Ecology.
, 1974b, Supplement to the air permit application. Submitted
to the State Department of Pollution Control and Ecology.
Aynsley, Eric, 1970, Cooling tower effects: studies abound. Electrical
World, p. 42-43.
Barber, F. R., and others, 1974, The persistence of plumes from natural
draught cooling towers. Atmospheric Environment, vol. 8, p. 407-418.
Battelle Pacific Northwest Laboratories, 1974, A review of the atmospher-
ic effects of natural draft cooling towers for large thermal power
plants, final report. Puget Sound Power and Light Company, Contract
No. 2311202012.
Briggs, G. A., 1971, Some recent analyses of plume rise observation, jji
Proceedings of the Second International Clean Air Congress, H. M.
Englund and W. T. Beery (ed.), Academic Press, New York, p. 507-510.
, 1972, Discussion on chimney plumes in neutral and stable
surroundings. Atmospheric Environment, vol. 6, p. 507-510.
Bufalini, M., 1971, Oxidation of sulfur dioxide in polluted atmospheres.
Environmental Science and Techology, vol. 5, p. 685-700.
Carpenter, S. B., and others, 1970, Principal plume dispersion models -
TVA power plants. Paper No. 70-149, 63rd Annual Meeting of the
Air Pollution Control Association, St. Louis, Missouri.
, 1971, Principal plume dispersion models: TVA power plants.
Journal of the Air Pollution Control Association, vol. 21, no. 8,
p. 491-495.
, 1976, A study of limited-layer mixing dispersion, Bull Run
Steam Plant. Tennessee Valley Authority, Division of Environmental
Planning, Publication No. E-AQ-76-2.
4.8-1
-------
Cry, G. W., 1967, Effects of tropical cyclone rainfall on the distri-
bution of precipitation over the eastern and southern United States.
U. S. Department of Commerce, Washington, D. C., ESSA Professional
Paper 1.
DeVine, J. C., Jr., 1975, The Forked River program: a case study in
saltwater cooling. Cooling Tower Environment - 1974, CONF - 740302,
Technical Information Center, U. S. Energy Research and Development
Administration, p. 509-557.
Dow Chemical Company, 1960, JANAF interim thermochemical tables. Ther-
mal Laboratory, Midland, Michigan.
Edmonds, P. R., Roffman, H. K., and Maxwell, R. C., 1975, Some terrestrial
considerations associated with cooling-tower systems for electric
power generations. Cooling Tower Environment-1974, CONF - 740302,
•Technical Information Center, U. S. Energy Research and Development
Administration, p. 393-407.
Electric Power Research Institute, 1976, Design of the sulfate regional
experiment (SURE), vol. 1 - supporting data and analysis. Prepared
by Environmental Research and Technology, Inc.
Foster, P. M., 1969, Oxidation of sulfur dioxide in power station plumes.
Atmospheric Environment, vol. 3, p. 157.
Freas, W. P. and Lee, R. F., 1976, Sensitivity analysis of the single
source (CRSTER) model. Presented at the Seventh International
Technical Meeting on Air Pollution Modeling and Its Application,
September.
Freiberg, J., 1974, Effects of relative humidity and temperature on ion-
catalyzed oxidation of S02 in atmospheric aerosols. Environmental
Science and Technology, vol. 8, p. 731-734.
Gartrell, F. E., Thomas, F. W., and Carpenter, S. B., 1963, Atmospheric
oxidation of S02 in coal-buring power plant plumes. Journal of
American Industrial Hygiene, vol. 24, p. 113-120.
Harrison, H., Larson, T. V., and Hobbs, P. V., 1975, Oxidation of sulfur
dioxide in the atmosphere: a review. Proceedings of the Interna-
tional Conference of Environmental Sensing and Assessment, Las
Vegas, Nevada, September.
Hanna, S. R., 1972, Rise and condensation of large cooling tower plumes.
Journal of Applied Meteorology, vol. 11, no. 5, p. 793-799.
, 1974, Fog and drift deposition from evaporative cooling
towers. Nuclear Safety, vol. 15, no. 2, p. 190-196.
4.8-2
-------
, 1976, Predicted and observed cooling tower plume rise
and visible plumes length at the John E. Amos Power Plant. At-
mospheric Environment, vol. 10, p. 1043-1052.
, and Swisher, S. D., 1971, Meteorological effects of the
heat and moisture produced by man. Nuclear Safety, vol. 12, no. 2,
p. 114-122.
Hidy, G. M. and others, 1974, Characterization of aerosols in California.
Final Report to Air Resources Board of California, September 30,
1974, p. 3-56.
Holzworth, G. C., 1972, Mixing heights, wind speeds, and potential for
urban air pollution throughout the contiguous United States. U.S.
Environmental Protection Agency, Office of Air Programs, Publication
No. AP-101.
Huff, F. A., 1972, Potential augmentation of precipitation from cooling
tower effluents. Bulletin of the American Meteorological Society,
vol. 53, no. 7, p. 639-644.
Junod, A., and others, 1975, Meteorological influences of atmospheric
cooling systems as projected in Switzerland. Cooling Tower Environ-
ment - 1974, CONF - 740302, Technical Information Center, U.S.
Energy Research and Development Administration, p. 239-264.
Kellogg, W. W., and others, 1972, The sulfur cycle. Science, vol. 175,
p. 587-596.
Korshover, Julius, 1976, Climatology of stagnating anti-cyclones east
of the Rocky Mountains, 1936-1975. Report No. TM ERL ARL-55, Air
Resources Laboratories, NOAA, Silver Springs, Maryland.
Lee, R. F., Mills, M. T. and Stern, R. W., 1975, Validation of a single
source dispersion model. Proceedings of the Sixth International
Technical Meeting on Air Pollution Modeling and Its Application,
NATO/CCMS, no. 41, September.
Levy, A., Drewes, D. R., and Hales, J. M., 1976, S02 oxidation in plumes:
a review and assessment of relevant mechanistic and rate studies.
U.S. Environmental Protection Agency Publication No. EPA-450/3-76-
022.
Ludlam, David, M., 1970, Extremes of snowfall - states. Weatherwise,
vol. 23, no. 6.
McVehil, G. E., and Heikes, K. E., 1975, Cooling tower plume modeling
and drift measurement; a review of the state-of-the-art. Contract
G-131-1, Ball Brothers Research Corporation, Prepared for Research
Committee on Atmospheric Emissions and Plume Behavior from Cooling
Towers, American Society of Mechanical Engineers.
4.8-3
-------
Martin, A., 1974, The influence of a power station on climate - a study
of local weather records. Atmospheric Environment, vol. 8,
p. 419-424.
Matteson, M. J., Stober, W., and Luther, H., 1969, Kinetics and the oxi-
dation of sulfur dioxide by aerosols of manganese sulfate. Indus-
trial Engineering Chemistry, vol. 4, p. 677.
Miller, D. F., and others, 1975, Haze formation: its nature and origin.
Final Report from Battelle Columbus to Coordinating Research
Council, Inc. and U. S. Environmental Protection Agency, March, p. 40.
Montgomery, T. L., Carpenter, S. B., and Lindley, H. E., 1971, The re-
lationship between peak and mean $62 concentrations. Presented
at the American Meteorological Society Conference on Air Pollution
Meteorology, Raleigh, North Carolina, April 5-8.
Montgomery, T. L., and Coleman, J. H., 1975, Empirical relationships be-
tween time-averaged S0? concentrations. Environmental Science and
Technology, vol. 9, no: 10, p. 953-957.
Montgomery, T. L., and others, 1972, Results of recent TVA investigations
of plume rise. Journal of the Air Pollution Control Association,
vol. 22, no. 10, p. 779-784.
1973a, A simplified technique used to evaluate atmospheric
dispersion of emissions from large power plants. Journal of the
Air Pollution Control Association, vol. 23, no. 5, p. 388-394.
1973b, Controlling ambient SO,,. Journal of Metals, vol. 25,
no. 6, p. 1-7.
Moore, D. J., 1975, Recent Central Electricity Generating Board research
on environmental effects of wet cooling towers. Cooling Tower En-
vironment-1974, CONF-740302, Technical Information Center, U. S.
Energy Research and Development Administration, p. 205-220.
Mulchi, Charles, and Armbruster, J. A., 1975, Effects of salt sprays on
the yield of and nutrient balance of corn and soybeans. Cooling
Tower Environment-1974, CONF-740302, Technical Information Center,
U. S. Energy Research and Development Administration, p. 379-392.
National Academy of Sciences, 1974, The relationship of emissions to
ambient air quality. Report by the Coordinating Committee on Air
Quality Studies, Air Quality and Automobile Emission Control,
vol. Ill, no. 93-24, U. S. Government Printing Office, Washington,
D. C., p. 52-54.
National Oceanic and Atmospheric Administration, 1972, Southwest
energy study. Draft copy.
4.8-4
-------
Pautz, M. E., 1969, Severe local storm occurrences, 1955-1967. U. S.
Department of Commerce, Office of Meteorological Operations,
Silver Springs, Maryland. ESSA Technical Memorandum WBTM FCST 12.
Pell, Jerry, 1975, The Chalk Point cooling tower project. Cooling Tower
Environmental-1974, CONF740302, Technical Information Center, U.S.
Energy Research and Development Administration, p. 88-127.
Petterssen, S., 1956, Weather analysis and forecasting. Vol. 1 - motion
and motion systems, second edition. McGraw-Hill, New York, N.Y.,
p. 27-30.
Pooler, F., Jr., 1965, Potential dispersion of plumes from large power
plants. U. S. Public Health Service publication no. 99-AP-16.
-Radian Corporation, 1977, Sampling at station A. Technical Note No.
200-13-701, prepared under USEPA Contract No. 68-01-3702.
Roffman, A., and Grimble, R. E., 1975, Drift deposition rates from wet
cooling systems. Cooling Tower Environment - 1974, CONF-740302,
Technical Information Center, U. S. Energy Research and Development
Administration, p. 585-595.
Smith, Maynard, and others, 1974, Cooling towers and the environment.
American Electric Power Service Corporation, New York, N. Y.
Tennessee Valley Authority, 1970, Report on full-scale study of
inversion breakup at large power plants. TVA Air Quality Branch,
Muscle Shoals, Alabama.
, 1974, Summary of Tennessee Valley Authority atmospheric dis-
persion modeling. Presented to the Conference on the TVA Experience
at the International Institute for Applied Analysis, Schloss, Laxen
burg, Austria, October 28-November 1.
, 1977, Personal communication.
Thorn, H. C. S., 1963, Tornado probabilities. Monthly Weather Review,
October - December.
Tikvart, J. A., and Mears, C. E., 1976, Application of the single source
(CRSTER) model. Presented at the Seventh International Technical
Meeting on Air Pollution Modeling and Its Application, September.
Turner, D. B., 1964, A diffusion model for an urban area. Journal of
Applied Meteorology, vol. 3, p. 83-91.
, 1970, Workbook of atmospheric dispersion estimates.
U. S. Environmental Protection Agency, Office of Air Programs
publication no. AP-26 (revised).
4.8-5
-------
U. S. Department of Commerce, 1956, Climatic summary of the United
States - supplement for 1931 through 1952. Climatology of the
United States No. 11-3, U. S. Weather Bureau, Washington, D. C.
_, 1963, Maximum recorded United States point rainfall for
5 minutes to 24 hours at 296 first order stations. Technical Paper
no. 2, U. S. Weather Bureau, Washington, D. C.
, 1965, Climatic summary of the United States - supplement for
1951 through 1960, Arkansas. Climatology of the United States,
No. 863. U. S. Weather Bureau, Washington, D. C.
, 1967-1976, Climatological data, national summary, vol. 18-27.
National Climatic Center, Asheville, N. C.
•_, 1968a, Climatic atlas of the United States. U. S. Department
of Commerce, ESSA, Environmental Data Service, Washington, D. C.
, 1968b, Tabulation I, frequency of occurrence, average wind
speed through mixing depth for "NOP" cases; Little Rock, Arkansas,
1/60-12/64. ESSA, Environmental Data Service, National Weather
Records Center, Asheville, N. C.
, 1973a, Seasonal and annual wind distribution by Pasquill
Stability Classes, 1955-1964, Little Rock, Arkansas. NOAA,
Environmental Data Service, National Climatic Center, Asheville, N. C.
_, 1973b, EPA inversion study, percentage frequency of temperature,
relative humidity and wind (seasonal and annual); Little Rock,
Arkansas, 1/60-12/64. NOAA, Environmental Data Service, National
Climatic Center, Asheville, N. C.
, 1973-1977, Daily weather maps. National Oceanic and Atmos-
pheric Administration, Washington, D. C.
_, 1974, Local Climatological data, Little Rock, Arkansas.
NOAA, Environmental Data Service, Climatic Center, Asheville, N. C.
U. S. Environmental Protection Agency, 1974, 1972 National emissions re-
port, national emissions data system (NEDS) of the aerometric and
emissions reporting system (AEROS). Office of Air and Waste Manage-
ment, Office of Air Quality Planning and Standards, Research
Triangle Park, N. C.
, 1976, Compliation of air pollutant emission factors. Office
of Air Quality Planning and Standards, Publication No. AP-42,
supplement no. 6, second edition, p. 1.3-2.
, 1977a, Guideline on air quality models, 2d draft. Office of
Air Quality Planning and Standards.
4.8-6
-------
1977b, Report to the USEPA of the specialists' conference
on the EPA modeling guideline. Proceedings of a conference spon-
sored by the Office of Air Quality Planning and Standards, Chicago,
Illinois, February 22-24.
, 1977c, User's manual for single-source (CRSTER) model.
Office of Air Quality Planning and Standards publication no. EPA-
450/2-77-013.
U. S. Nuclear Regulatory Commission, 1972, Safety guide 23, onsite me-
teorological programs.
U. S. Public Health Service, 1969a, Air quality display model. Prepared
for National Air Pollution Control Administration TRW Systems
Group, Contract No. PH-22-68-60.
1969b, Air quality criteria for sulfur oxides. National Air
Pollution Control Administration publication no. AP-50.
University of Utah Research Institute, 1975, Rate of conversion of sul-
fur dioxide in a power plant plume to particulate sulfate. Final
Report, Phase I, APS Contract No. 75-00634, funded by WEST As-
sociates.
Urone, P., and Schroeder, W. M., 1969, S02 in the atmosphere: a wealth
of monitoring data, but few reaction rate studies. Environmental
Science and Technology, vol. 3, p. 436-455.
Weiss, R. E., and others, 1977, Sulfate aerosol: its geographical ex-
tent in the midwestern and southern United States. Science,
vol. 195, p. 979-980.
4.S-7
-------
PARTS
AQUATIC ECOLOGY
-------
TECHNICAL SUPPORT DOCUMENT
PART 5
AQUATIC ECOLOGY
-------
CONTENTS
Page
5.1 INTRODUCTION 5.1-1
5.2 SAMPLING STATIONS 5.2-1
5.3 METHODS 5.3-1
5.3.1 Aquatic Flora 5.3-1
5.3.2 Aquatic Fauna 5.3-1
5.4 RESULTS 5.4-1
' 5.5 REFERENCES 5.5-1
-------
TABLES
5.4-1 Phytoplankton Collected from the White River in
the Site Area 5.4-2
5.4-2 Periphyton Collected from Waterways in the Site Area. . . 5.4-9
5.4-3 Zooplankton Collected from the White River in the Site
Area 5.4-13
5.4-4 Benthic Macroinvertebrates Collected from Waterways in
the Site Area 5.4-14
5.4-5 Fishes Collected From the White River Near the Site
During 1976-1977 Field Sampling Surveys 5.4-17
5.4-6 Length and Weight of Selected Fish Collected During
1976-1977 Field Sampling Surveys 5.4-19
5.4-7 Fishes Observed in the White River in the Site Area . . 5.4-20
5.4-8 Mussels Collected from the White River
River Miles 261-276 5.4-25
FIGURES
5.2-1 Location of aquatic sampling stations 5.2-4
-------
PART 5
AQUATIC ECOLOGY
5.1 INTRODUCTION
The various plant and animal components of the aquatic community
are constantly interacting with one another and with the non-living
portions of the environment which surrounds them. Because of this
relationship, biological impacts resulting from changes in the aquatic
environment can be estimated only if a baseline definition of existing
communities is known.
In an effort to supplement baseline data available from the litera-
ture, Dames & Moore conducted three comprehensive aquatic field studies
in the site area. These surveys were conducted in November 1976, May
1977, and July 1977 in order to collect data indicating seasonal dif-
ferences in aquatic populations. Sampling involved several stations on
the White River during all three programs; Wall and Round Lakes were
also included in the summer survey. The scope of the work involved
varied among the sampling periods, as indicated by the detail of the
results presented for water quality and sediment analyses (TSD Tables
2.1-7 and 2.1-8) and for biological analyses (Tables 5.4-1 through 5.4-7).
In addition to the comprehensive sampling efforts, a field survey
was conducted in November 1977 solely to characterize the area's mussel
population. The purpose of the program was two-fold: 1) to provide a
definition of the size and species composition of the mussel populations
and 2) to determine the presence or absence of Proptera capax, listed as
endangered by the U. S. Fish and Wildlife Service (Section 5.5.1.5),
near the site. Due to the sensitive nature of endangered species issues,
this program was carried out under an agreement with the Arkansas Game &
Fish Commission. Among other requirements, this agreement stipulated
that collection of any £_. capax specimens should not be reasonably
anticipated to result in the death or permanent disablement of the
organism. A representative of the U. S. Fish and Wildlife Service, Mr.
Dennis Jordan (Jackson, Mississippi office), was present during a major
portion of the mussel sampling efforts.
5.1-1
-------
5.2 SAMPLING STATIONS
With regard to the comprehensive sampling program, sampling
stations on the White River were selected with the intention of providing
data from points upstream, adjacent to, and downstream of the intake and
discharge areas so that it would be possible to make meaningful com-
parisons between pre- and post-operational biological data, 1f necessary.
Round and Wall Lake sampling locations were added to the program in
order to provide data on two areas that may receive drainage from the
site. All station locations are shown on Figure 5.2-1. Sampling was
conducted in the vicinity of these stations at points considered to be
representative of conditions in the general station area.
Station 1. This station was chosen for its location upstream of
the site area and away from any impacts which might occur as a result of
plant construction or operation. It is situated approximately at river
mile (RM) 273 east of Pleasant Island near a small, unnamed island. The
unnamed island supports a stand of trees such as cottonwood, maple, oak,
and hickory, some of which overhang the river. The bottom substrate is
primarily sand, with some gravel.
Station 1A. This station, located on the opposite side of the
island from Station 1, was added to the spring program in order to
obtain information on the aquatic populations in an area away from the
main stream channel. Stream flow is relatively swift in much of this
station area, but some quiet places are present, and a considerable
amount of debris (fallen trees and logs) has accumulated in the water.
The bottom consists of clay, sand, and organic detritus.
Station 2. Located at the downstream end of a slip-off slope on
Hulsey Bend just upstream of RM 270, Station 2 is also upstream of the
proposed intake and discharge structures. The substrate is sand and
some gravel.
Station 2A. Station 2A is located in the mouth of the Swan Lake
Drainage Ditch approximately at RM 269 and near the site of the proposed
intake and discharge structures. Numerous hardwoods and shrubs line the
shoreline at this station. Muck, clay, and organic detritus comprise
5.2-1
-------
the substrate. In the summer, the mouth of the ditch was almost dry due
to the low flow conditions of the White River.
Station 3. This station is situated near the mouth of Bear Wallow
Slough just upstream of RM 267. The small, quiet area formed by the
slough mouth is surrounded by a dense growth of hardwoods, shrubs, and
vines. During the fall and spring, water movement in this area appeared
to be negligible due to the presence of an underwater sediment deposit
at the slough's intersection with the river. In the summer period, the
low flow conditions of the river had left the sediment deposit partially
exposed, temporarily eliminating the slough mouth's connection with the
river.
A large amount of organic debris is present in the area of the
slough mouth; the substrate is sand and organic detritus. Across the
river from the slough mouth is a slip-off slope which is characterized
by a sand, gravel, and cobble bottom. Some sampling activites were
conducted at this location.
Station 4. Located approximately at RM 266 near a slip-off slope,
Station 4 was selected in the fall as being representative of conditions
immediately downstream of the preliminary site boundaries. The site
location was more clearly delineated before the spring sampling period,
and intensive sampling at this station was eliminated in favor of a
location farther downstream. Sand, gravel, and cobble comprised the
substrate here.
Station 5. This station was added in the spring to ensure col-
lection of data below the site boundaries. It is located in the vicinity
of the Wall Lake drainage entrance into the White River approximately
at RM 263.5. The quiet area formed by this entrance is surrounded by
hardwoods. During part of the spring effort, a plume of water, ap-
pearing much lighter in color than the river water, was observed to
originate within this tributary mouth and flow into the river.
In the summer period, the drainage entrance was almost dry. Sam-
pling was conducted in the river channel along the sand bar across from
the ditch entrance into the river.
5.2-2
-------
Station 6. This station, sampled during the summer only, is lo-
cated on Wall Lake. The lake is surrounded by agricultural land, with a
narrow strip of trees near the shoreline. The average water depth was
less than 0.3 m. Muck, commonly as much as 0.8 to 0.9 m deep, comprised
the bottom substrate.
Station 7. This station was also surveyed only during the summer
period. It is located on Round Lake, which is tree lined along its
border but drains primarily agricultural land. During the summer sam-
pling effort, the average water depth was about 0.9 m. The bottom con-
sisted of muck, ranging in depth from 0.1 to 0.5 m.
The November 1977 mussel sampling effort was conducted between White
River miles 261 (near the confluence with the Black River) and 276 (about
1 mile upstream of the old Oil Trough ferry landing). Gravel was the main
substrate component in most areas studied. However, a small, unstable
sand bar, located upstream of the Oil Trough ferry, and some sand-gravel
islands and slip-off slopes were also surveyed, providing some habitat
variety.
5.2-3
-------
• IA WATER QUALITY AND
AQUATIC SAMPLING STAT
Figure 5.2-1. Location of aquatic sampling stations.
5.2-4
-------
5.3 METHODS
5.3.1 Aquatic Flora
Phytoplankton
Twenty liters of whole water were pumped from a water depth of
approximately 0.2 m into a container. Duplicate 1 liter samples were
removed from the container and preserved with Lugol's solution and
formalin. Organisms were identified and counted in the laboratory. In
the fall, laboratory analysis involved the use of a Sedgwick-Rafter
(S-R) cell. Spring and summer phytoplankton samples were analyzed by two
methods. The S-R cell was used in order to provide data which could be
compared with that obtained in the fall; the inverted microscope (IM)
technique was also employed as a back-up method to check results of the
S-R procedure. Quantitative analyses were performed by counting
individual cells except in the case of blue-green filaments. Each of
these filaments was counted as an individual cell.
Periphyton
Periphyton were collected at all stations where suitable substrate
was accessible. Samples were gathered by scraping material from natural
substrates considered to be submerged at all times under normal condi-
tions or by collecting the entire substrate. Specimens were preserved
in Lugol's solution and formalin and sent to the laboratory for identi-
fication.
Vascular Hydrophytes
The presence of significant rooted and floating vascular plant
populations was determined by a general survey of the study area. When
possible, observed species were identified in the field. Representative
specimens of unknown macrophytes were pressed and sent to the laboratory
for indentification.
5.3.2 Aquatic Fauna
Zooplankton
Duplicate 100 liter whole water samples were pumped through a No.
20 plankton net from a depth of about 0.2 m. Plankton were rinsed
5.3-1 .
-------
into a container and preserved with LugoTs solution and formalin.
Organisms were identified and counted in the laboratory with a S-R cell.
Benthic Macroinvertebrates
Triplicate benthos samples were collected with a 6-inch Ekman
sampler and then filtered through a U.S. Standard No. 30 wire mesh
sieve. In addition, some specimens were collected incidentally while
seining for fish.
During the summer period, a 4-foot brail was employed for the col-
lection of mussels. The brail was towed in the vicinity of several
stations'for a combined distance of approximately 1800 feet, and a total
area of about 7200 square feet. All stations as well as other areas
between stations were also visually searched for live mussels.
In the fall, only organisms observed with the unaided eye were
preserved in formalin, stained with rose bengal, and sent to the lab-
oratory for analysis. In the spring and summer, all material retained
after sieving was preserved and then analyzed in the laboratory.
During the November 1977 mussel survey, a total distance of 3090
yards, representing an area of about 10,300 square yards was brailed.
In addition, several locations were visually searched, and one site
upstream of the old Oil Trough ferry was sampled by diving.
Mr. K. C. Ward, a commercial mussel fisherman from Clarendon, Arkansas,
and Mr. Raymond Spicer, a mussel shell buyer from Helena, Arkansas,
operated the brail ing and diving equipment. Both men are familiar with
the White River and its mussels. Brail ing was conducted with a 10-
foot brail consisting of a metal rod to which approximately 250 14-guage
crowfeet were attached by nylon cording. The brail was lowered over the
side of the boat and dragged for distances ranging from 40 to 150 yards
per haul. Areas which were brailed most heavily included: 1) those for
which local residents indicated the recent presence of small mussel
populations (RM 275-276, RM 272-273 and RM 267-268), and 2) those near
the proposed intake/discharge structures (RM 269-270). Water depths
were estimated from the length of the brail lead line after initial
lowering or just prior to retrieval of the brail.
5.3-2
-------
Several areas were searched for mussels both visually, in particu-
larly shallow waters where the bottom could be seen, and by the use of
rakes in somewhat deeper waters where the bottom was not visible. The
rakes were used, while wading, to feel along the bottom for mussel
shells and as a means of retrieval.
Diving was employed as a sampling method at only one location, just
upstream of the old Oil Trough ferry landing. No other areas yielded a
sufficient number of specimens as a result of brail ing to justify the
use of a diver. The diving apparatus consisted of a weighted metal
"helmet" fitted with a hose connected to a reserve air tank on the boat.
After being fitted with the necessary equipment, the mussel fisherman
dived to the river bottom and collected all of the mussels he could find
in a 5-minute period. The low temperature of the water precluded the
possibility of a more lengthy dive.
Specimens collected by all methods were identified in the field by
Mr. Clarence Clark, a former professor at Ohio State University and past
Supervisor of Fisheries for the Ohio Game and Fish Commission. Soft
parts of all specimens were removed, and the shells were retained for
later verification of taxonomy, if necessary.
Fish
Several methods were employed for fish collection. In the fall
period, at least three seine hauls were made with a 25-foot, 1/8-inch
mesh net at each station. A total of six hauls was made at Station 3,
half in the entrance to Bear Wallow Slough and the remainder just across
the river near the slip-off slope. Six hauls were also made at Station
1, three on each side of the river. In the fall, two gill nets were set
at Station 2 for approximately 21 hours; one gill net was set at Station
3 in the slough mouth for about 19.5 hours. Gill nets were not used at
Station 1 or 4 due to the extremely swift river flow and shallow water
conditions, respectively. Fyke nets were employed in the fall at
Stations 1 and 2 only. Conditions at the other stations were not con-
ducive to their use. The fyke net at Station 1 remained in place for
5.3r3
-------
approximately 21.5 hours. However, the net at Station 2 was not re-
trieved for almost 48 hours; high stream flows made earlier net retrieval
at this station impossible.
Spring sampling at Stations 1 and 1A included three seine hauls
with a net similar to the one used in the fall; six hauls were made at
Station 3 at the same locations seined in the fall. The current at
Station 2 was too swift to allow seining. Fish were collected at Sta-
tion 4 with a dip net. Gill nets were utilized only at Stations 3 and 5
during the spring due to the presence of unsuitable conditions at the
other stations. The net at Station 3 remained in place for about 22
hours while the one at Station 5 was set for 19 hours. Fyke nets were
used only at Station 1A, where two were set for approximately 23 hours.
Conditions at all of the other stations were not conducive to fyke net
sampling during the springtime.
During the summer, seining was the only method of fish collection
employed since the extremely low water levels made the use of gill or
fyke nets impractical. A 25-foot bag seine was used in this effort.
Three hauls were made at each station except Station 3 where six hauls
were made, as before, and Stations 6 and 7 where seining was not possible
because of the mucky bottoms.
During each field survey, large fish were measured and weighed
after identification in the field. Smaller specimens were preserved in
formalin and sent to the laboratory for identification and permanent
preservation in alcohol. In the spring, laboratory analysis of all fish
specimens included the designation of life stage. Some fish collected
in the summer were also classified by life stage.
5.3-4
-------
5.4 RESULTS
Results of aquatic biological surveys for phytoplankton, periphyton,
zooplankton, benthic macroinvertebrates, and fish conducted during the
three comprehensive aquatic sampling programs are shown in Tables 5.4-1
through 5.4-6. For comparative purposes, Table 5.4-7 indicates not only
the fish species collected during the Dames & Moore monitoring program,
but also those collected during other efforts in the site area. The
vascular hydrophytes were not abundant in either the White River or
Round and Wall Lakes. A few specimens of arrowhead (Sagittaria sp.)
were observed at Station 1A and duckweed (Lemna sp.) was seen floating
in the water at Station 7. Table 5.4-8 presents the results of the
November 1977 mussel sampling program.
5.4-1
-------
Table 5.4-1
Phytoplankton Collected from the White River in the Site Area'
Page 1 of 7
Species
Station/Sampling Period"
Chlorophyta
Chlorophyceae
^
Vol vocal es
Chlanydomonas spp.
Dysmorphococcus vaHabilis
en
Gonlum sociale
-P>
i
IN> Pandorlna morum
Tetrasporales
Gloeocystls plane ton 1ca
Chlorococcales
Actlnastrum hantzschll
AnMstrodesrous convoluta
A. falcatus
Coelastrum microporum
Coelosphaerlum mlcroporum
Cruclgenla irregular 1s
Dlctyosphaerlum pucnellum
Klrchnerlelli obesa
Ped1«stn» boryanum
F Sp Su
2400 49050 58000
01250)c (12950)
2500
(150)
(50)
8000
3500 500
(500)
(1200)
5000
(850)
1000 7500
(600)
(1600)
40000
2500
8000
F Sp Su
13400 21500 46000
(6550) (67600)
(800)
500
(600)
2000
(11500)
6500
(5050)
1000 7000
(8900)
(1600)
(1200)
(13800)
3500
(2600)
F Sp Su
8700 5000 35500
(6450) (88150)
1000
(1350)
(200)
500
(750)
4000
(1700)
7500
(12950)
500 10000
(50) (10700)
(400)
2000
(13800)
3000
(5450)
(3200)
F
6700
Sp Su
7000 8000
(12300) (16100)
1500 (200)
(650)
(400)
500
(400)
1500 4500
(400) (4900)
(3200)
1400
-------
Table 5.4-1 (Continued)
Page 2 of 7
Station/Sampling Period
on
co
Species
P. tetras
Planktosphaera gelatinosa
Scenedesmus arcuatus
S. bljuga
S^_ quadrlcauda
S. serratus
Tetraedron minimum
Chaetophorales
StlgeocIonium sp.
Coojugatophyceae
Zygnema tales
Mougeotla sp.
Desnldlales
Closten'um ehrenbergll
Cosaarlum undulatum
Staurastrum turgescens
1
F Sp
2550
(5000)
2000
(4100)
3000
(1100)
3000
(1050)
(50)
2
Su
16000
4000
(2400)
(300)
2000
(7250)
2000
(200)
3500
(2200)
500
(100)
3000
(2100)
F Sp
16000
2000
(2950)
(400)
2000
(600)
1500
(500)
1500
(500)
3 45
Su
4000
8000
(6800)
15000
(17000)-
(200)
(150)
1500
(6500)
500
1000
(6500)
F Sp Su
4000 (16400)
(2200)
(7600)
(2800) 8000
(14800)
(200)
(50)
(600) 4500
(3850)
(200)
500
(350) 4000
(3850)
(50)
F
Sp
(1600)
2000
(5200)
2000
(1800)
(850)
3500
(450)
3500
(450)
Su
3000
(7400)
500
(350)
500
(350)
-------
Table 5.4-1 (Continued)
Page 3 of 7
Species
Station/Sampling Period1*
cn
•
4^
Englenophyta
Euglenophyceae
Euglenales
Euglena acus
E. trlpteris
E. variabilis
Strombomonas swirenkol
Trachelomonas cordiformls
T.. hispida
T. volvocina
Cryptophyta
Cryptophyceae
Cryptomonodales
Cryptomonas acuta
C. caudata
C. erosa
C. oval is
Chrysophyta
Chrysophyceae
1
F Sp Su F
500 1000
(1150)
500
500 (1050)
(100)
500
36500
(15100)
6500
(1400)
7000
(5400)
23000
(8300)
2000
(100)
2
Sp Su
(150) 4500
(400)
1000
(50)
(150) 3500
(300)
(50)
53000
(30400)
16000
(10950)
6500
(6000)
30500
(13450)
1500
(1400)
3
F Sp Su
300 (150) 8000
(3050)
(100)
5500
(2000)
(350)
(50)
2500
(700)
45000
(63750)
15000
(30200)
5000
(7650)
25000
(25900)
1000
(1050)
4 5
F Sp Su
500 1500
(700)
(50)
500
1500
(650)
(200) 1200
(11900)
3500
(4000)
3500
(2850)
(200)
5000
(5050)
(50) 500
Chrysomadales
Dinofaryon diverqens
Mallomonas caudata
(400)
500
(50)
-------
Table 5.4-1 (Continued)
Page 4 of 7
on
en
Species
M. tonsurata
Bad 11 ar 1 ophyceae
Centrales
Cyclotella glomerata
C. meneghinlana
C. stellata
C. stelUqera
Heloslra qranulata
M. 1s1and1ca
M. 1tal1ca
M. varlans
Mlcrosolenla sp.
Stephanodlscus dublus
S. nlgrare
Pennales
Asterionella formosa
Cyaatopleura solea
Station/Sampling Period
1 2 3
F Sp Su
1500
(100)
195400 145000 128000
(29800) (39350)
(400) 10500
(1600)
2000
(300)
1000
1000
(250) 18500
(17000)
13500
(1100)
(1400)
1500
(11550)
(100)
F Sp Su
1500
0350)
289300 112500 121500
(22300) (50450)
(500) 37500
(17600)
500
(250)
500
2000
28000
7500
(850)
7500
(5850)
500
F Sp
173500 116500
(53800)
(400)
1500
(400)
1000
(500)
(850)
30000
(18950)
(200)
(400)
(150)
4
Su
1000
(650)
128500
(136050)
16000
(31000)
500
27500
(51050)
2500
(3200)
F
153400
Sp
(50)
139000
(38350)
(600)
500
(3350)
500
18500
(5850)
15500
(4850)
(100)
500
(250)
(150)
5
Su
500
19500
(40400)
3000
(1500)
500
8000
(20400)
-------
Table 5.4-1 (Continued)
Page 5 of 7
'Species
Station/Sampling Period'
CJl
•
->
i"
o>
Cymbella cymblfontrls
C. finis
C. lanceolata
C. tunrida
C. ventrlcosa
Dlatona vulgare
FragllaHa capusina
F. crotonensls
Soaphonema sp.
Gyroslgma spencerl
Navlcula decussls
N. pupula
N. trlpunctata
Nltzschla adculaHs
H. arcldularls
N. dentlculata
N. dlsslpata
I. qncllls
F Sp
(250)
5500
(400)
20000
(2450)
(450)
18500
(2750)
12500
(2250)
8500
(2700)
(800)
50000
(1350)
3000
(250)
7000
(1050)
Su
(50)
2000
(2600)
15500
(550)
1500
(50)
6000
(2500)
500
(1150)
16000
(11800)
37500
(1050)
F Sp
(150)
(50)
5500
(550)
22500
(4200)
(800)
7000
(900)
12000
(3000)
7000
(1550)
(800)
31000
(1750)
5000
(250)
5000
(750)
Su
500
2500
(2500)
18000
(7000)
1000
(550)
500
2500
(2700)
10500
(16250)
10500
(350)
F Sp Su
500
6000 1500
(2450) (4750)
19000
(14500)
11500 19000
(1650)
(50)
11000
(8400)
5000 4500
(750) (5050)
(350)
17000
(2300)
34500
(30750)
4000
(1550)
10500 6000
(1400)
F
SP
(200)
(50)
3000
(3150)
5000
12500
(5600)
43500
(1300)
10000
(3200)
1500
(1600)
(350)
17500
(6050)
5000
4000
(1350)
Su
(2150)
1000
(2550)
4000
(11150)
2000
(1500)
1000
(1150)
-------
Table 5.4-1 (Continued)
Page 6 of 7
en
Species
N. kuetzingiana
Rholcosphenia curvata
Surirella patella
Synedra ulna
Cyanophyta
Cyanophyceae
Chroococcales
Aphanocapsa pulchra
Coelosphaerium kuetzlnglanum
Gomphosphaeria aponina
Her i sopped la glauca
Microcystls flos-aquae
M. Incerta
Osclllatorlales
Anabaena var1ab111s
Aphanlzomenon flos-aquae
Lyngbya hleronymusll
Oscillatorla limosa
Station/Sampling Period
Sp1ru11na princeps
1 2 3
F Sp Su
13500
2000 5500
(1000)
1500 (50) 7000
(7050)
(150)
500
500
1000
(250)
(50)
4500
(6400)
500
(250)
F Sp Su
5000
(50)
500
1000 2500
(50) (3500)
3700 (550) 4500
(4850)
(400)
(150)
(50)
2000
(2250)
(100) 3500
(3200)
1000
(1500)
F Sp
(50)
(50)
(100)
2000 500
(200)
(100)
(50)
500
(50)
4 5
Su
12000
500
3500
(8600)
5500
(10700)
(150)
(1050)
3500
(6050)
(1200)
F
2300
Sp Su
1500
(350)
500 8000
(250) (5350)
(250)
(50)
500
(1250)
(2600)
500 5000
2500
(1450)
-------
Table 5.4-1 (Continued)
Page 7 of 7
Species
Station/Sampling Per1odb
Total
Total
Density
Number of Species
(both methods)
1
F Sp
199300 197550
(42200)
31
2
Su
236000
(77900)
45
F Sp
306400 135500
(30050)
33
3
Su
232500
(161600)
39
F Sp
184500 122000
(61200)
36
4
Su
228000
(306600)
39
F
162400
SP
150500
(51600)
36
5
Su
50000
(74800)
25
. I"
CO
'Densities expressed as average number of organisms per liter from duplicate samples at each station except Station 3, fall period,
for which only one sample was analyzed.
bF=Fall; Sp=Spr1ng; Su=Summer
""Density values without parentheses represent data obtained by analysis with a Sedgwlck-Rafter cell; densities reported with parentheses
are results from analyses by the Inverted microscope technique.
-------
Table 5.4-2
Periphyton Collected from Waterways
in the Site Area
Page 1 of 4
Species
Sampling Station/Sampling Period
a,b
Sp Su Su Su Su
Chlorophyta
Chlorophyceae
Chlorococcales
Ankistrodesmus sp. M W
Oocystis sp. W
Pediastrum sp. W
Scenedesmus sp. R W
Chaetophorales
Aphanochaete sp. R
Cladophorales
Cladophora glomerata W
Rhizoclonium sp. R W
Oedogoniales
Oedogonium sp. W R W W,R R
Conjugatophyceae
Zygnema tales
Mougeotia sp. W
Spirogyra sp. M,R W W,R
Zygnema sp. W
Desmidiales
Closterium moniliferum W
Closterium sp. R W
Cosmarium undulatum W
Cosmarium sp. W VI
Hyalotheca dissi liens W
Su
V
V
Chrysophyta
Xanthophyceae
Heterosiphonales
Vaucheria sp.
Bacillariophyceae
Centrales
Cyclotella sp.
Melosira granulata
M. varians
P
P
Melosira sp.
Stephanodiscus nigrarae P
5,4-9
-------
Table 5.4-2 (Continued)
Page 2 of 4
Species
Sampling Station/Sampling Period
a,b
Pennales
Achnanthes clevei
A.
A.
A.
deflexa
lanceolata
linearis
Achnanthes sp.
Amphipleura sp.
Amphiprora sp.
Amphora oval is
Amphora sp.
Asterionella formosa
Caloneis ventricosa
Cocconeis diminuta
£. pediculus
£. placentala
Cocconeis sp.
Cymatopleura solea
Cymbel1 a affinis
£. cymbiformis
C. hustedtii
C.
C.
C.
C.
C.
laevis
prostrata
sinuata
tumida
ventricosa
Cymbella sp.
Diatoma vulgare
Diatoma sp.
Eunotia sp.
Fragilaria capucina
£. crotinensis
£. leptostauron
Fragilaria sp.
Frustulia sp.
Gomphonema longiceps
G. olivaceum
(5. parvulum
£. sphaerophorum
Gomphonema sp.
Gyrosigma obtusatum
CL spenceri
Gyrosigma sp.
Hantzschia sp.
Mer i di on~c"i rcul are
Navicula bacinum
N. cryptocephala^
1 2
Sp Su Su
P
P
P
P
357
Su Su Su
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
5.4-10
-------
Table 5.4-2 (Continued)
Page 3 of 4
Species
Sampling Station/Sampling Perioda,b
NL decusis
N^. gastrum
H_. pseudoreinhordtii
N^. radiosa
hL tripunctata
N_. tuscula
Navicula sp.
Neidium dubium
Nitzschia acicularis
PL denticulata
]!• dissipata
N_. fonticola
j^. gracilis
Nitzschia sp.
Pinnularia mesogongyla
Pinnularia sp.
Rhoicosphenia curvata
Rhopolodia sp.
Surirella angustata
S^ suecia
Surirella sp.
Synedra vaucheriae
Synedra sp.
Sp
P
P
P
P
P
P
P
P
P
P
P
P
Su
Su
Su
Su
Su
P
P
P
P
P
P
P
P
P
P
Rhodophyta
Rhodophyceae
Goniotrichales
Chroodactylon ramosum
Namalionales
Rhodochorton
violaceum W
Cyanophyta
Cyanophyceae
Chroococcales
Aphanothece sp.
Microcystis sp.
Oscillatoriales
Haplosiphon hibernicus
Lyngbya sp.
Oscillatoria tenera
Oscinatoria sp.
Phormidium inundatum
Phormidium sp.
W
M
M,R
M
R
R
W,R
W
W
R
R
R
R
5.4-11
-------
Table 5.4-2 (Continued) Page 4 of 4
a Sampling Periods: Sp = Spring, Su = Summer
Substrate Designations: M = Mud or soil
R = Rock
W = Wood
V = Vascular macrophyte
P = Present in sample; substrate type undetermined
c Two varieties of this species were observed
5.4-12
-------
Table 5.4-3
Zooplankton Collected from the White River in the Site .Area
Species
Station Umber/Sampling Period
a,b
*•
Rotatorla 1.38
Asplanchna sp.
Bdelloidea sp.
Brachlonus bidentata
B. calyclflorus
BT caudatu?
.17 haranaensls
BT qyadrldentatus
EFachlonus sp.
CephalodeFla sp.
Conochloldes sp.
Conochllus sp.
Euchlanls sp.
Flllnra longlseta
Hexarthra sp.
Honostyla sp.
Hytnina sp.
Notholca sp.
Platylas quadrlcornls
Polyarthra sp.
Trlchocerca cyllndrlca
Trlchocerca sp.
Trlchotrla sp.
Unidentified sp.
Cladocera 0.01
Alona guttata
A. rectangula
Bosmlna longlrostHs
Bosmlna sp.
Chydoru's sphaerlcus
Daphnla pulex
Leydlgla quadrangular Is
Ilocryptus sordldus
Imature cladoceran
Unld. Chydorlnae sp.
Copepoda 0.04
Cyclops blcuspldatus
Cyclops spp.
Cyclopold copepodlte
Calanold copepodlte
Harpactlcold copepodlte
Nauplll
Total Density 1.43
Sp Su
1.41 2.8
0.24
0.02
0.02
0.12
0.6
0.16
0.2
0.6
0.4
0.36
0.04
0.02
0.35
0.02
0.06 0.8
0.2
0.30 0
0.04
0.04
0.08
0.06
0.06
0.02
1.66 0.4
0.02
0.28
0.02
1.34 0.4
3.37 3.2
F Sp Su
1.84 1.56 2.8
0.2
0.50
0.04
0.6
0.12
0.8
0.46
0.06
0.06 0.2
0.26
0.4
0.2
0.04
0.4
D.02
0.01 0.78 0
0.16
0.44
0.08
0.08
0.02
0.04 1.70 0
0.04
0.26
0.10
0.04
1.26
1.89 4.04 2.8
F Sp
2.00 2.42
0.44
0.02
0.06
0.12
0.62
0.14
0.12
0.76
0.02
0.02
0.10
0.01 1.08
0.16
0.62
0.16
0.08
0.06
0.06 1.52
0.02
0.22
0.04
0.04
1.20
2.07 5.02
Su
3.6
0.2
1.2
0.4
0.4
1.2
0.2
0.2
0.2
0.6
0.2
0.4
4.4
F
5.68
0.03
0.22
5.93
Sp
1.98
0.22
0.04
0.02
0.04
0.26
0.82
0.04
0.24
0.10
0.08
0.02
0.10
1.08
0.06
0.58
0.22
0.04
0.02
0.08
0.02
0.06
4.44
0.18
0.22
0.14
0.02
3.88
7.50
Su
3.4
0.2
0.2
0.6
0.8
0.6
0.6
0.4
0.2
0.2
0.8
0.4
0.4
4.4
a Densities expressed as average number of organisms/liter
b Saepling Periods: f * Fall; Sp • Spring; Su = Sunner.
-------
Table 5.4-4
Benthic Macroinvertebrates Collected from Waterways in the Site Area'
Page 1 of 3
Species
Olptera
Chironomidae
Chironomus spp.
Coelotanypus sp.
Cricotopus spp.
Cryptochi ronomus demeiji
Cryptochi rononius' sp.
Demicryptochironomus sp.
Dicrotendipes sp.
Harnischia spp.
HicropsecTra sp.
Microtendipes aberrans
Orthocladius sp.
01 Paracladopelma sp.
^ Para1auterborniel1a spp.
i Paratanytarsus sp.
^ Paratendipes spp.
Pentaneura sp.
Phaenopse'ctra sp.
Polypedilum spp.
Procladius spp.
Pseudochironomus spp.
Rheotanytarsus spp. .
Tanypus sp.
Tanytarsus coracina
Tanytarsus spp.
Tribelos Tp.
Trichocladius sp.
Unidentified chironomld spp.
Unidentified chironomld pupa
Chironominae (unid. sp.)
Tanypodinae (unid. sp.)
Culicidae
Chaoborus sp.
Ceratopogonidae
Probezzia sp.
Tabanidae
Tabanus sp.
Ephemeroptera
Baetidae
Baetis spp.
Caenidae
Caenis Sp.
Station Number/Sampling Period /Bottom Substrate0
1
F Su
S S.G
e
P 787
115
14
29
14
416
99
P
57
43
P
>
P
1A
So
CL.S.O
442
172
14
14
14
129
14
14
14
43
14
2
F Su
S S.G
P 185
43
14
14
14
57
43
P
2A
So
CL.O
230
144
14
58
14
3
fd Sp Su
S.G S.O C
2141 1563
1710
37
14
179
296
37
88
37
37
29
14
438
431
37
254
52
14
14 14
14
5
So Su
S S.G
1063 602
115
14
58 57
43
115
29
43
43
14
489 187
158 14
14
172
14
14
29
43
86
86
6
Su
M
8826
1352
7374 f'
100
7
Su
M
1076
847
i
14
115
i
57 ':
-------
Table 5.4-4 (Continued)
Page 2 of 3
Species
Station Number/Sampling Period /Bottom Substrate6
I
CJ1
Ephemeridae
Hexagem'a sp.
Henri ptera
Corixidae
Trichocorixa sp.
Unidentified sp.
Gerridae
Trepobates sp.
Gerris sp.
Notonectidae (unid. sp.)
Odonata
Unidentified sp.
Trichoptera
Hydroptilidae (unid. sp.)
Molannidae
Hoi anna sp.
Coleoptera
Elateridae (unid. sp.)
Gyrinidae
Gyrinus sp.
Oecapoda
Astacidae
Palaemonetes sp.
Oligochaeta
Lumbriculidae (unid. sp.)
Naididae
Nais sp.
Paranais frici
Tubificidae
Aulodrilus pigueti
Branchiura sowerbyi
1
F Su
S S,G
1A
So
CL.S.O
14
14
259
2
F Su
S S,G
2A
So
CL.Q
14
14
P
P
P
P
172
14
14
14
3
F So Su
S,G S,0 C
14 P
P
P
14
14
14
14
P P
P P
1335 72
14
5
So Su
S S.G
315 14
14
14
6
Su
M
14
14
1076
7
Su
M
43
43
14
14
1205
29
-------
Table 5.4-4 (Continued)
Station Dumber/Sampling Period /Bottom Substrate0
Page 3 of 3
1
F Su
S S,G
P 28
P . 28
815
1A
Sp
CL.S.O
259
14
14
729
2
F Su
S S,G
m
2A
Sp
CL.O
72
58
14
14
430
3
f Sp Su
S,G S,0 C
230
129 29
14
948 43
3504 1663
5
Sp Su
S S,G
14
72
201 14
29
29
14
14
P
P
P
1407 716
6
Su
M
875
201
9916
7
Su
M
330
832
14
2338
Limnodrilus cervix
U clapardeanus
U hoffmeisteri
L_. udekemianus
Immature tubificids
Unidentified sp.
Nematoda
Unidentified sp.
Pelecypoda
Corbiculidae
Corbicula sp.
Unionidae
Amblema perplicata
Fusconaia ebena
Proptera laevissima
Total Organism Density
a Density values reported as the average number of organisms/m in three replicate samples
b F=Fall; Sp=Spring; Su=Summer
c S=Sand; G=Gravel; CL=Clay; 0=0rganic detritus; C=Cobble; M=Muck
During the fall and summer periods, samples were collected from the main river channel; in the spring,
samples were taken in the slough mouth.
e Species present; sampled qualitatively only
-------
Table 5.4-5
Fishes Collected From the White River Near the Site
During 1976-1977 Field Sampling Surveys
Station Hunter/Sampling Period *'b
Page 1 of 2
CoMMon HaMe 1
F Sp Su
Shortnose gar
Bowfln
Gizzard shad
Threadfln shad
Stoneroller
£ ^
_J__ Silvery Minnow 10
•^ Speckled chub
Blgeye chub 1A.1Y
Gravel chub 1A
Homyhead chub 1
Solder, shiner
Emerald shiner 101A.2Y 16
Blgeye shiner 1Y
Striped shiner
Pugnose Minnow
Hhltetall shiner
Medgespot shiner
Ouskystrlpe shiner
Rosyface shiner 4A
Telescope shiner 1
Heed shiner
Blacktall shiner 145A.2Y 18
MlHlc shiner 2A
Steclcolor shiner
•luntnose winnow
•ullhMd Minnow
1A
Sp Su
1
40
2A.3Y
1A
3
2A 283
7
2
F Su
24
1
1
1
71 1090
2
3
F Sp Suc
1
1A 1A
1A
2J
1A
1A
8
41A.88Y 1
3A.37Y
103
1
3
10 204A.104J 182
16A 1
2J
5 1
8
4
F Sp Su
1 3Y
1 2
1
115 159
1
3
5
Sp Su
2A
1A
2A
1A
1
24
2
2
6
139
3
-------
Table 5.4-5 (Continued)
Station Number/Sampling Period"'6
Page 2 of 2
: Common Name . 1
'• F Sp Su
j River carpsucker 2Y
j Northern hog sucker 1Y
| Smallmouth buffalo 6Y
; Ictlobus sp.
; Spotted sucker 2Y
1 Black redhorse
Moxostoma sp. 6Y
Northern studflsh 1 1A
Blacks potted topnlnnow
01 Kosqultoflsh
-> Brook sllverslde 8
£ Hannouth
Blueglll
Longear sunflsh
Spotted bass 1Y
Largemouth bass
Rainbow darter 4 2A
Bluntnose darter
Freshwater drum
Total Number of
Individuals 6 276 58
Total Number of
Species 3 12 8
1A
Sp Su
2Y
5Y
3Y
1A
27Y
2
3
1Y
3Y
2Y
41 350
6 12
2
F Su
807Y
12
9 1
3
85 1937
6 6
3
F Sp . Suc
1 2A 6Y
5Y
1Y
6Y
484Y
7
13 16
20
1
3 1J 2J.298Y
1 4Y
2
14
40 994 679
10 15 17
4
F Sp Su
3Y
10Y
7
67Y
1 55
2
129 80 222
7 3 .6
5
Sp Su
2A
1A
1Y
1A
10 178
7 8
aF - Fall sampling period; Sp - Spring period; Su - Summer period
Some species numbers for the spring and summer efforts are categorized by life stage:
A - adult and subadult; 0 - juvenile; Y - young-of-year and postlarval stage.
cSaap1e partially destroyed 1n shipment to the laboratory.
-------
Table 5.4-6
Length and Weight of Selected Fish Collected During
1976-1977 Field Sampling Surveys
Collection Period: LengthrWeight
Common Name Station (cm:g)
Shortnose gar Sp:5 69.0:U76
67.7:872
Bowfin F:3 49.5:1220
Sp:5 44.5:1305
Gizzard shad Sp:3 20.0:227b
Su:3 17.8: -
Sp:5 29.2:212
27.0:160
Carp Sp:3 38.9:511
Sp:5 69.8:4200
River carpsucker F:3 37.5:630
Sp:3 40.4:851
31.0:341
Sp:5 41.2:1022
22.5:192
Northern hog sucker Sp:5 42.2:571
Black redhorse Sp:lA 35.0:378
Freshwater drum Sp:5 24.2:180
F = Fall Estimated length and weight;
Sp = Spring fish partly destroyed by predator
Su = Summer
5.4-19
-------
Table 5.4-7
Fishes Observed in the White River
in the Site Area
Scientific Name
Common Name
Page 1 of 5
Investigator
Observing Species
Petromyzontidae
Ichthyomyzon castaneus
L gagei
Polyodontidae
Polyodon spathula
Lepisostidae
Lepisosteus osseus
L platostomus
IL. spatula
Amiidae
Ami a calva
Clupeidae
Alosa chrysochloris
Dorosoma cepedianum
]D. petenense
Hiodontidae
Hiodon alosoides
H_. tergisus
Esocidae
Esox lucius
£. niger
Cyprinidae
Campostoma anomalum
£. oligolepis
Carassius auratus
Chestnut lamprey
Southern brook lamprey
Paddlefish
Longnose gar
Shortnose gar
Alligator gar
Bowfin
Skipjack herring
Gizzard shad
Threadfin shad
Goldeye
Mooneye
Northern pike
Chain pickerel
Stoneroller
Largescale stoneroller
Goldfish
AE
B
B
B,P
B
B
AE.B.P
B,P
B
B
B
B
AE.B.P
B
B
5.4-20
-------
Table 5.4-7 (Continued)
Scientific Name
Cyprinidae (cont'd)
Cyprinus carpio
Dionda nubila
Hybognathus hayi
H. nuchal is
Hybopsis aestivalis
H.. amblops
.H.. dissimilis
H_. storeriana
H.. x-punctata
Nocomis biggutatus
Notemigonus chrysoleucas
Notropis atherinoides
N_. boops
N^. chrysocephalus
fj. emiliae
N^. galacturus
N_. greenei
N^. ozarcanus
N^. pilsbryi
N,. rubellus
N. sabinae
N^ telescopus
j^. texanus
N_. umbratilis
N^. venustus
N^. volucellus
N.. whipplei
Phoxinus erythrogaster
Pimephales notatus
£. promelas
£. tenellus
P^ vigil ax
Semotilus atromaculatus
Common Name
Carp
Ozark minnow
Cypress minnow
Silvery minnow
Speckled chub
Bigeye chub
Streamline chub
Silver chub
Gravel chub
Hornyhead chub
Golden shiner
Emerald shiner
Bigeye shiner
Striped shiner
Pugnose minnow
Whitetail shiner
Wedgespot shiner
Ozark shiner
Duskystripe shiner
Rosyface shiner
Sabine shiner
Telescope shiner
Weed shiner
Redfin shiner
Blacktail shiner
Mimic shiner
Steel col or shiner
Southern redbelly dace
Bluntnose minnow
Fathead minnow
Slim minnow
Bullhead minnow
Creek chub
Page 2 of 5
Investigator .
Observing Species*
B,P
AE.B
D
AE.B.P
P
AE.B.P
AE.B
B
AE.B.P
B,P
B,P
AE.B.D.P
AE.B.P
B,P
B,P
AE.B.P
AE.B.P
AE.B
AE.B.P
AE.B.P
B
B,P
P
B
AE.B.D.P
AE.B.D.P
B,P
B
AE.B.P
B
B
B.D.P
B
5.4-21
-------
Table 5.4-7 (Continued)
Scientific Name
Common Name
Page 3 of 5
Investigator
Observing Species*
Catostomidae
Carpi odes carpi o
£. cyprinus
£. velifer
Erimyzon oblongus
Hypentelium nigricans
Ictiobus bubal us
JL cyprinellus
JL niger
Mi ny trema melanops
Moxostoma carinatum
fl. duquesnei
M. erythrurum
fl. macrolepidotum
Ictaluridae
Ictalurus furcatus
±. melas
1. natal is
I_. punctatus
Noturus exilis
N.. flavater
H. gyrinus
N_. miurus
Pylodictis oil van's
Aphredoderidae
Aphredoderus sayanus
Cyprinodontidae
Fundulus catenatus
£. olivaceus
Poeciliidae
Gambusia af finis
River carpsucker
Quillback
Highfin carpsucker
Creek chubsucker
Northern hog sucker
Smallmouth buffalo
Bigmouth buffalo
Black buffalo
Spotted sucker
River redhorse
Black redhorse
Golden redhorse
Shorthead redhorse
Blue catfish
Black bullhead
Yellow bullhead
Channel catfish
Slender madtom
Checkered madtom
Tadpole madtom
Brindled madtom
Flathead catfish
Pirate perch
Northern studfish
Blackspotted topminnow
Mosquitofish
AE,B,D,P
B
B
B
B,P
B,P
B
B
B,P
B
B.P
B
B
D
B
B
B
B
B
B
B
D
AE.B.P
AE.B.P
AE.B.D.P
-------
Table 5.4-7 (Continued)
Scientific Name
Common Name
Page 4 of 5
Investigator
Observing Species'
Atherinidae
Labidesthes sicculus
Percicthyidae
Morone chrysops
Centrarchidae
Ambloplites rupestris
• Elassoma zonatum
Lepomis cyanellus
L_. gulosus
L humilis
L_. macrochirus
L marginatus
L.. megalotis
L microlophus
L.. punctatus
Micropterus dolomieui
M. punctulatus
M. salmoides
Pomoxis annularis
£. nigromaculatus
Percidae
Ammocrypta asprella
A. clara
A. vivax
Etheostoma blennioides
£. caeruleum
IE. chlorosomum
£. euzonum
E. histrio
£. punctulatum
E. spectabile
Brook silversides
White bass
Rock bass
Banded pygmy sunfish
Green sunfish
Warmouth
Orangespotted sunfish
Bluegill
Dollar sunfish
Longear sunfish
Redear sunfish
Spotted sunfish
Smallmouth bass
Spotted bass
Largemouth bass
White crappie
Black crappie
Crystal darter
Western sand darter
Scaly sand darter
Greenside darter
Rainbow darter
Bluntnose darter
Arkansas saddled darter
Harlequin darter
Stippled darter
Orangethroat darter
B
AE.B.D.P
AE,B
B
B
AE.B
P
B
AE.B.D.P
B
AE.B.P
B
B
B,P
AE.B.D.P
AE.B
B
B
B
AE.B
B
AE.B.P
P
B
B
B
B
5.4-23
-------
Table 5.4-7 (Continued)
Scientific Name
Common Name
Page 5 of 5
Investigator .
Observing Species'
Percidae (cont'd)
£. stigmaeum
£. whipplei
£. zonale
Percina caprodes
£_. evides
£. maculata
P_. nasuta
£. phoxocephala
£. sciera
P. shumardi
£• uranidea
Stizostedion canadense
_S. vitreum
Sciaenidae
Aplodinotus grunniens
Cottidae
Cottus bairdi
C. carolinae
Speckled darter
Redfin darter
Banded darter
Logperch
Gilt darter
Blackside darter
Longnose darter
Slenderhead darter
Dusky darter
River darter
Stargazing darter
Sauger
Walleye
Freshwater drum
Mottled sculpin
Banded sculpin
B
B
B
AE,B
B
B
B
B
B
B
AE,B
B
B
AE,B,P
B
AE,B
Species observed in White River system between Batesville and Black
River confluence by:
AE - Arkansas Eastman (1974)
B - Buchanan (1973)
D - Davis (1971)
P - Present survey by Dames & Moore (1976-1977)
5.4-24
-------
Table 5.4-8
Mussels Collected from the White River3
(River Miles 261 to 276)
CJI
i
ro
en
Ri ver
Mile
261-262
262-263
263-264
264-265
265-266
266-267
267-268
268-269
269-270
270-271
271-272
272-273
273-274
274-275
275-276
Total :
261-276
Approx.
Water
Depth (ft)
8-14
3-10
8
6-8
12-14
5-8
2-12
6-8
7-12
10
4-15
12
12-40
4-12
No.
Hauls
3
3
2
2
2
1
6
3
6
1
0
4
1
1
5
40
Distance
Bra i led
(yd)
250
250
100
200
200
100
500
200
500
50
0
300
40
50
350
3090
Area
Bra i led
(yd)
833
833
333
667
667
333
1667
667
1667
167
0
1000
133
167
1167
10301
Name of Species
Scientific Name
Quadrula metanevra
Proptera alata
Lampsilis ovata
Plagiola lineolata
Ligumea recta
P. lineolata
Fusconaia ebenus
Amblema costata^
Fusconaia undata
Quadrula quadrula .
Tritogonia verrucosa
Actinonais carinata
L_. ovata
Leptodea fragilis
Obovaria olivaria
Collected
Common Name
Monkey face
Blue Mucket
Grandma
Butterfly
Black sandshell
Butterfly
Black niggerhead
Three- ridge
Pig-toe
Maple-leaf
Pistol grip
Mucket
Grandma
Fragile paper
shell
Eggshell
Number
Collected
0
0
0
0
1
1
1
1
0
1
1
0
0
0
0
1
2
1
1
1
2
1
1
4
20
Unless otherwise noted, all specimens were collected by brail ing.
One specimen collected by diving.
c Collected by hand in shallows.
-------
5.5 REFERENCES
Arkansas Eastman Company, 1974, Environmental impact assessment.
Buchanan, Thomas M., 1973, Key to fishes of Arkansas.
Davis, Bill, 1971, Department of Zoology, Louisiana Tech University,
Ruston, Louisiana, unpublished data.
5.5^1
-------