Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
THE EFFECTS OF PULP AND PAPER MILL WASTEWATERS
ON PHYTOPLANKTON PRIMARY PRODUCTIVITY IN
THE RED RIVER, LOUISIANA
THESIS
Presented to the Graduate Council of the
North Texas State University in Partial
Fulfillment of the Requirements
For the Degree of
MASTER OF SCIENCE
By
Jeffrey Dee Holler, B.S.
Denton, Texas
May, 1984
37'1
No *606r
Holler, Jeffrey, D., TbI Effects . LL; p d Paper Mill
Wastewaters gja Phytoplankton Primary Productivity in th Rad
River, Louisiana. Master of Science (Interdisciplinary
Studies), May, 1984, 108 pp., 36 tables, 10 figures,
bibliography, 29 titles.
Responses of phytoplankton productivity in the Red
River to unbleached pulp and paper mill wastewaters were
monitored using in situ 14C incubation. Preoperational
studies, conducted prior to the discharge of mill
wastewaters varied seasonally, but revealed similar
productivity trends when compared with postoperational
studies, conducted after mill discharges began entering the
Red River.
Carbon assimilation rates measured downstream of mill
discharge were generally greater than upstream levels in
both preoperational and postoperational studies.
Selected physical, chemical, and biological parameters
varied seasonally, but showed similar upstream-downstream
values and preoperational-postoperational values. Total
Organic Carbon (TOC), Dissolved Organic Carbon (DOC), and
Biochemical Oxygen Demand (BOD5) were positively correlated
with postoperational productivity rates. Apparent color was
negatively correlated with productivity rates.
TABLE OF CONTENTS
PageLIST OF TABLES . . . . . . * . . . . . . . . . . . . . v
LIST OF ILLUSTRATIONS . . . . . . . . . .!. . . . . .viii
Chapter
I. INTRODUCTION AND LITERATURE REVIEW . . . . .. 1
Mill DescriptionStudy AreaScope of StudyAn Overview of Primary ProductivityPaper IndustryPulp and Paper Mill Effluent CharacteristicsEffects of Pulp and Paper Mill Wastewater
on PhytoplanktonImportance of Total and Dissolved Organic
CarbonImportance of Adenosine Triphosphate
(ATP) and Chlorophyll aImportance of Biochemical Oxygen Demand and
Hydrogen Ion ConcentrationImportance of True and Apparent Color
Turbidity, and Suspended SolidsImportance of Nitrogen and PhosphorusImportance of LightDefinition of TermsObjectives and Hypotheses
II. MATERIALS AND METHODS . . . . . . . . . . . . 22
Productiqty StationsLa iitn C TudiesAnalysis of C Phytoplankton SamplesAnalysis of CarbonAnalysis of Adenosine Triphosphate (ATP)Light MeasurementsData Analysis
iii
III. RESULTS AND DISCUSSION . . . . . . . . . . . . 34
River and Wastewater FlowsIP Mansfield Mill Wastewater CharacteristicsPhytoplankton Primary ProductivityChlorophyll .TurbidityTotal Suspended SolidsAmmonium Nitrogen (NH3 -N)Nitrate Nitrogen (NO 3 -N)OrthophosphateTotal PhosphateTotal Organic CarbonDissolved Organic CarbonBiochemical Oxygen DemandTrue ColorApparent ColorAdenosine TriphosphateLightpHCorrelation of Physical/ChemicaL Parameters
with Phytoplankton Primary Productivity
IV. CONCLUSIONS . . . . . . . . . . . . . . . . * 101
BIBLIOGRAPHY . . . . . . . . . . . . . . . . . . . . . 106
iv
Chapter Page
LIST OF TABLES
Table Page
I. Physical, Chemical, and Biological WaterQuality Parameters Determined Monthlyat Selected Sampling Stations in theRed River . . . . . . . . . . . . . . . . . 6
II. Preoperational and Postoperational SamplingStation Locations on the Red River . . . . 24
III. Preopgratiogal Red River Mean Monthly Flows(m .sec ) for the Period November 1980Through August1981 . . . . . . . . . . 35
IV. Postoperational Red River Mean Monthly Flowsand IP Mansfield3Mill _ischarge Levels tothe Red River (m .sec ) for the PeriodOctober 1982 Through August 1983; Per CentDilution of Mill Effluent to Red RiverFlow . . . . . . . . . . . . . . . . . . . 36
V. IP Mansfield Mill Wastewater Effluent (WRR)Characteristics for the Period October 1982Through August 1983; Mean Values of ThreeReplicates; Units are mg/L for all ParametersExcept Turbidity (NTU), Color (CU),, ATP (ng/L);pH Values Were Determined with a Field Meterand Represent One Measurement per Survey. . 38
VI. Preoperational Red River Phytgplan ton 14CProductivity Rates-(mgC m .hr ). . . . . . 39
VII. Postoperational Red River Phy opla kton 14CProductivity Rates-(mgC m .hr ) . . . . . 47
VIII. Preoperational Red River PlagktonicChlorophyll a (mg.chlj.m ) . . . . . . . . 52
IX. Postoperational Red River P1 nktonicChlorophyll a (mg.chla.m ) . . . . . . . . 54
X. Preoperational Red River Turbidity (Nephelo-metric Turbidity Units) . . . . . . . . . . 55
XI. Postoperational Red River Turbidity (Nephelo-metric Turbidity Units) . . . . . . . . . . 56
V
Table Page
XII. Preoperational Red River Total Suspended Solids(mg/L) . . . . . . . . . . . . . . . . . . 58
XIII. Postoperational Red River Total SuspendedSolids (mg/L) . . . . . . . . . . . . . . . 59
XIV. Preoperational Red River Nitrate Nitrogen(mg/L) . . . . . . . . . . . . . . . . . . 61
XV. Postoperational Red River Nitrate Nitrogen(mg/L) . . . . . . . . . . . . . . . . .D . /6 3
XVI. Preoperational Red River OrthophosphatePhosphorus (mg/L) . . . . . . . . . . . . . 64
XVII. Preoperational Red River OrthophosphatePhosphorus (mg/L) . . . . . . . . . . . . . 67
XVIII. Preoperational Red River Total Acid HydrolyzablePhosphate Phosphorus (mg/L) . . . . . . . . 68
XIX. Postoperational Red River Total Acid HydrolyzablePhosphate Phosphorus (mg/L) . . . . . . . . 70
XX. Preoperational Red River Total Organic Carbon(mg/L) . . . . . . . . . . . . . . . . . . 71
XXI. Postoperational Red River Total Organic Carbon(mg/L) . . . . . . . . . . . . . . . . . . 73
XXII. Preoperational Red River Dissolved OrganicCarbon (mg/L) . . . . . . . . . . . . . . . 74
XXIII. Postoperational Red River Dissolved OrganicCarbon (mg/L) . . . . . . . . . . . . . . . 76
XXIV. Preoperational Red River Five-Day BiochemicalOxygen Demand (mg/L) . . . . . . . . . . 78
XXV. Postoperational Red River Five-Day BiochemicalOxygen Demand (mg/L) . . . . . . . . . . . 80
XXVI. Preoperational Red River True Color (ColorUnits) By Visual Method . . . . . . . . . . 81
XXVII. Postoperational Red River True Color (ColorUnits) By Visual Method . . . . . . . . . . 83
vi
XXVIII. Preoperational Red River Apparent Color (ColorUnits) By Visual Method . . . . . . . . . . 84
XXIX. Postoperational Red River Apparent Color (ColorUnits) By Visual Method . . . . . . . . . . 86
XXX. Preoperational Red River Adenosine Triphosphate(Nanograms/L) . . . . . . . . . . . . . . . 87
XXXI. Postoperational Red River Adenosine Triphosphate(Nanograms/L) . . . . . . . . . . . . . . . 89
XXXII. Total Light Energy Measured on the Red RiverDuring I iti Prirnry ProductivityExperiments (ly.hr ) . . . . . . . . . . . 91
XXXIII. Preoperational Red River Light Data for thePeriod November 1980 Through August 1981During La Situ Productivity Experiments;Surface Light (ft-c); Light at 1 Meter(ft-c); Vertical Absorption Coefficient(k) . . . . . . . . . . . . . . . . . . . . 93
XXXIV. Postoperational Red River Light Data for thePeriod November 1982 Through August 1983During a tu Productivity Experiments;Surface Light (ft-c); Light at 1 Meter(ft-c); Vertical Absorption Coefficient(k) . . . . . . . . . . . . . . . . . . . . 95
XXXV. Preoperational Red River pH Values; SingleMeasurements Determined in the Field with aPortable pH Meter . . . . . . . . . . . . . 98
XXXVI. Postoperational Red River pH Values; SingleMeasurements Determined in the Field with aPortable pH Meter . ... .. . . . . . . .99
vii
Table Page
LIST OF ILLUSTRATIONS
Figure
I. Location of the International Paper Mansfield,Louisiana Mill in Relation to SurroundingCities and Parishes . . . . . . . . . . "
2. Map of the Bayou Pierre and Red River SamplingStations . . . . . . . . . . . " . . . .
3. PhytoplanktonRed River,
4. PhytoplanktonRed River,
5. PhytoplanktonRed River,
6. PhytoplanktonRed River,
7. PhytoplanktonRed River,
8. PhytoplanktonRed River,
9. PhytoplanktonRed River,
10. PhytoplanktonRed River,
Primary Productivity Data forNovember 1980 . . . . . ...
Primary Productivity Data forFebruary1981 . . . . . . . .
Primary Productivity Data forMay 1981 . . . . . . . . .
Primary Productivity Data forAugust 1981 . . . . . . .
Primary Productivity Data forNovember 1982 . . . . . . .
Primary Productivity Data forFebruary 1983 . . . . . . .
Primary Productivity Data forMay 1983 . . . . . . . . .
Primary Productivity Data forAugust 1983 . . . . . . . .
viii
Page
2
4
41
42
43
44
48
49
50
51
."
.
"
."
CHAPTER I
INTRODUCTION AND LITERATURE REVIEW
The purpose of this research was to evaluate the impact
of treated wastewaters discharged from International Paper
Company's (IP) Mansfield, Louisiana mill on phytoplankton
primary productivity in the Red River. A preoperational
baseline of chemical, physical, and biological data were
developed by the Institute of Applied Sciences (IAS) at
North Texas State University prior to mill start-up (12).
Primary productivity measurements obtained in the
preoperational study were compared with parallel
measurements taken in this postoperational study conducted
after mill start-up. Comparisons were made to determine
what effects, if any, discharged paper mill wastewaters have
had on phytoplankton primary production in the Red River.
Mill Description
The Mansfield Mill, located in Desoto Parish, Louisiana
approximately 48 km southeast of Shreveport, Louisiana,
processes pulp and wood chips to produce containerboard.
Limited operations began in November, 1981. Figure 1 shows
the mill location in relation to the Red River.
1
2
t1
ARKANSASI#
TEXAS *LOUISIAN l WEBSTER CLAIBORNE +I
\PARISH PARSH
* OSSIER }! 4PARISH I- )
-. ,
CADDO me i MINDEPARtSH\
\ t \.
BOSSIER 1-2o -- -- - -- ----CITYII
SHREVEPORT I RITO
C INI E
-_ PARISH
MA NSFIELD -- --"MILL \'RED A--.R
PARISH \CLEAR LAXE ..I ........._ .....-.-....-.
S /THr*ORT LAKE J}t}\
DE SOTOu5 yPARtSH
LMANSFIELD
NATCH TOCHES
\ . ! PARISH
\ - -SABINEPARISH;r
\ NATCHITOCHES
ALEXANDRA'
0 5 10 20Mi. <
S A EL
E VLEFig
. -- Location of the I. P . Mansfield
, LA
Mill in relation to surrounding cities and parishes.
3
The mill's wastewater discharge consists of a mixture
of treated process wastewaters, treated sanitary wastewaters
and storm water runoff. The combined wastewaters receive
primary clarification and secondary treatment by spray
application to a 600-acre overland flow facility. The total
combined wastewaters are generated at an approximate rate of
12,112 m3 day~ (3).
Study Area
This study encompassed approximately 35 km of the Red
River between Shreveport and Natchitoches, Louisiana. The
study area extended from 1.6 km north of Abington to 11.3 km
downstream of the IP pipeline discharge site. (See Figure
2.) Wastewaters are discharged midway between stations 1RR
and 2RR.
In this area, the Red River is a wide, shallow,
meandering river with a sand substrate. Flow rates in the
river are highly variable, ranging from 396 m3'sec~ 1 to as
high as 36,576 m3.sec~ (21). The majority of land in the
study area is used for agricultural purposes. However, much
of the land next to the river is forested.
Scope of Study
The study was conducted in accordance with the
preoperational study design. Preoperational in situ
phytoplankton primary productivity experiments were
conducted on a quarterly basis during November 1980 and
4
Howard
P 0--
4
Mansfield
WOP
I M Overflow Outfo.P Mill OutfallRRW
A ington
SA
S608 RtM23
Coushatta
0 1 2 3 4 Smiles
LR Evelyn RE
r Jordon Ferry Bridge
Fig. 2--Map of the Bayou Pierre and Red River samplingstations.
5
February, May, and August, 1981. Similarly, the
postoperational in situ productivity experiments were
carried out in November 1982 and February, May, and August,
1983. Monthly triplicate water samples were collected and
returned to IAS laboratories for analysis of all other
physical/chemical water quality parameters studied. The
period from November 1980 through August 1981 was selected
from preoperational studies for comparison with the
postoperational studies being conducted from October 1982
through August 1983. Physical, chemical, and biological
water quality parameters analyzed are listed in Table I.
An Overview of Primary Productivity
This study was designed to assess the impact of mill
wastewaters on in situ phytoplankton primary productivity.
Because paper mill wastewaters are typically high in color,
primary productivity studies were conducted to assess the
possible effects on phytoplankton. A reduction in
photosynthesis would be expected provided increased light
attenuation occurred in the Red River from discharged
wastewaters. Research conducted in coastal waters of
British Columbia has shown that light attenuation and
selective absorption of 400-500 nm wavelength light by paper
mill wastewaters were the major factors responsible for
reduced primary productivity in the zone of influence. In
6
TABLE I
PHYSICAL, CHEMICAL, AND BIOLOGICAL WATER QUALITY PARAMETERSDETERMINED MONTHLY AT SELECTED SAMPLING
STATIONS IN THE RED RIVER
PARAMETER METHOD REFERENCE
TOC
DOC
BOD
NO 3 -N
NH3 --N
Ortho PO-P
Total PO~P
LightPenetration;
Color,Apparent
Color, True
Chlorophyll
ATP
Turbidity
SuspendedSolids
Combustion-IR Detection
Combustion-IR Detection
Incubation, 5 days
Corning Meter
Orion Electrode
Orion Electrode
Ascorbic Acid
Digestion-Ascorbic Acid
Protomatic Meter
Visual Comparison
Visual Comparison
Spectrophotometric
Bioluminesence
Nephelometric
Evaporation
Standard Methods
Standard Methods
Standard Methods
p.471
p.471
p.483
Standard Methods p.369
Standard Methods p.420
Standard Methods p.61
Standard Methods p.6 1
Standard Methods p.950
Standard Methods p.955
Standard Methods p.132
Standard Methods p.97
Parameters underlined were determined in the field.All other parameters were analyzed in the IAS laboratoriesin Denton, Texas.
7
addition, phytotoxicity occurred only at high concentrations
of waste mill wastewaters (18).
The role of autotrophic phytoplanktonic productivity
within an aquatic ecosystem stems from the synthesis of
organic substances from inorganic raw materials acting as
electron donors. This process can be summarized by the
universally-known photosynthesis equation:
6C0 + 12 H20 Light } C H 0 + 6H 0 + 602 2 Pigment 6H12 6 2 2Receptor
The use of inorganic reductants is termed lithography.
This process can be categorized as either chemosynthetic,
carried out by chemosynthetic bacteria or photolithotrophic,
carried out by photosinthesizing plants (1). Both processes
require a source of energy and a usable source of inorganic
carbon. This study is concerned only with photolithotropic
planktonic organisms of the aquatic assemblage.
Techniques used to measure direct rates of in situ
primary productivity have received much attention in recent
years. Specifically, radioactive1C tracer techniques have
been used as a highly sensitive measure of primary
productivity (17; 19; 22). The total carbon assimilated in
photosynthetic processes can be determined through the
addition of a known amount of radioactive tracer
8
NaH1 4 Co3 into the organic matter of phytoplankton. The
amount assimilated can then be measured by liquid
scintillation counting techniques. The uptake of NaH 4CO3
has been shown to estimate the assimilation of total
inorganic carbon, which is an estimate of the rate of
primary production in mgC.m-3.hr-1 (23).
Paper Industry
The paper industry depends upon wood fiber as a
paramount natural resource. The United States, with only 6
per cent of the world's population, uses 33 per cent of the
world's energy and natural resources (14). Per capita
consumption of paper and paper products in this country
reached approximately 295 kg per year in 1978, and is
expected to reach 454 kg per year in the next generation.
With the present demand for pulp and paper products, it is
possible to consume more trees than natural regrowth will
accommodate (14).
An adequate supply of high quality water is a necessary
raw material in the paper industry. Several key properties
of water affect the paper making process. Ideal water
should be free of excessive suspended materials, possess
little color, have an absence of iron, magnesium, and
silica, have neutral pH, and have a uniform temperature.
Suspended matter causes spots and imperfections in paper due
to capillary attraction by the fibers. Color influences
9
brightness and the amount of color permissible depends on
the quality of paper products desired (14).
Iron and magnesium compounds tend to be absorbed to
cellulose, resulting in a yellowing of the fibers (in the
case of bleached and white grades of paper). These
compounds also cause paper to deteriorate when exposed to
light. Other dissolved minerals, such as copper and
sulphur, affect the brightness of paper. The presence of
silica presents scaling problems in boilers and condensers,
reducing operating efficiency.
Pulp and Paper Mill Effluent Characteristics
Effluent is defined as any liquid or liquid-containing
solids in suspension which is emitted from any premises in
the form of waste (5). General paper mill effluents
comprise any of the following combinations:
1. Suspended matter, which includes loading materialssuch as clay, titanium pigments and coloringagents, together with fibers;
2. Other process waste, such as fibers, sizingchemicals and coating waste, together withlaboratory and general trade wastes.
Water reuse diminishes the quantity of fresh water
used. Treatment remedies employed to recover chemicals,
fibers, and water resources include
1. Floatation, which relies on the principal of abalanced air content in the water;,
2. Mechanical filtration, in the form of drums anddisc filters, pressure filters, as well as sandand micro-filters;
10
3. Biochemical treatment methods which includeanaerobic and aerobic treatment technologies;examples of such technologies include activatedsludge systems, trickling filters, lagoons andstabilization basins, as well as overland flowsystems.
The overland flow treatment technology employed at the
International Paper Company's Mansfield mill reduces the
waste load prior to discharge into the Red River. Mill
wastewater is sprayed through fine mister nozzles, and is
collected after percolation to a sealed layer of soil.
Surface runoff is also collected and discharged along with
treated wastewaters via a pipeline into the Red River. This
process provides aerobic decomposition of wastes, removing a
large portion of the oxygen demanding potential of the
untreated paper mill wastewaters.
Effects of Pulp and Paper MillWastewater on Phytoplankton
Phytoplankton organisms provide the basis of many
aquatic food chains. Constituents of the wastewaters may
inhibit their growth, reducing the production of an entire
community (13). Pulp and paper. mill wastewaters can affect
aquatic organisms due to increasing suspended solids and
color in the water column, resulting in increased light
attenuation. This indirect effect can diminish the
photosynthetic capabilities of phytoplankton organisms (18).
In addition, these paper mill wastewaters are typically high
in oxygen-consuming materials (8). Therefore, the
11
degredation of aquatic systems may also occur through the
removal of dissolved oxygen in some local conditions.
Pulp and paper wastewaters can contain a number of
toxic substances, such as chlorinated phenols, sulfides,
mercaptans, resins, and fatty acids. These substances may
have an effect on phytoplankton productivity, zooplankton,
and fish. Laboratory experiments have shown that filtering
rates Daphnia retrocurva were decreased when exposed to 5
per cent and 10 per cent solutions of raw pulp and paper
mill wastewaters (2). Further studies in Nipigon Bay, Lake
Superior, have indicated changes in the fish community
exposures to pulp and paper mill wastewaters. It was
determined that these changes occurred as a result of
short-term responses of fish to the wastewaters, as well as
long-term alteration in environment, both acting in concert
(9).
Importance of Total and Dissolved Organic Carbon
Total organic carbon (TOC) is a gross expression of the
organic chemical content of waters and wastewaters (16). As
such, TOC can be used to monitor processes for the treatment
or removal of organic contaminants. Therefore, TOC
measurements can provide information concerning the impact
of pulp and paper mill wastewaters on overall water quality
in the Red River. Pulp and paper mill wastewaters have been
12
characterized as having a high potential input of
oxygen-consuming materials into the aquatic environment (8).
The input of dissolved organic carbon (DOC) into a
receiving stream from pulp and paper mill wastewaters is
known to affect light attenuation by both scattering and
absorptive mechanisms (7). These mechanisms may affect
light attenuation in the Red River, provided discharged mill
wastewaters contain a greater DOC content than receiving
waters. A reduction in photosynthetic capabilities of
phytoplankton organisms has been shown to be avoided by
mixing and dilution of the paper mill wastewaters (10).
Importance of Adenosine Triphosphate(ATP) and Chlorophyll a
Adenosine triphosphate measurements can be used as an
indication of total microbial biomass and chlorophyll a
determinations can provide information about
photosynthesizing plant matter. Estimations of biomass
using ATP determinations can be made. All living cells,
whether plant or animal, contain ATP. Furthermore, it is
assumed that ATP is not associated with nonliving
particulate material, and that the ratio of ATP to cell
carbon remains fairly constant. Previous studies have shown
that biomass calculations based on ATP and chlorophyll -
determination were in agreement with those calculated by
direct measurement (6).
13
Chlorophyll g. can also be used as an indicator of algal
biomass and constitutes, on the average, 1.5 per cent of the
dry organic matter (ash-free dry weight). An estimation of
algal biomass is obtained when the chlorophyll a value is
multiplied by a factor of 67 (16).
Importance of Biochemical Oxygen Demandand Hydrogen Ion Concentration
Previous studies have documented the oxygen-consuming
characteristics of pulp and paper mill wastewaters (8, 15).
Assuming that the wastewaters entering the Red River contain
an oxygen-demanding substance which adversely affects
dissolved oxygen concentrations downstream from the
discharge site, phytoplankton production may be adversely
affected in the Red River. Dilution of the wastewater
discharge may act to offset the oxygen demand, as well as to
contribute to spatial and temporal decomposition.
The pH is defined as the logarithm of the reciprocal of
the free hydrogen ions (23). The "p" of pH refers to the
power (puissance) of the hydrogen ion activity. Acidic
waters possess greater hydrogen ion concentrations, while
alkaline waters contain fewer. A pH value of 7.0 is
neutral, neither acidic nor alkaline. Values below 7.0 are
acidic, while those above 7.0 are alkaline. The hydrogen
ion concentration, as measured by pH, can play a key role in
determination of toxicity of pulp and paper mill wastewaters
to aquatic phytoplankton. Moore and Love (11) found that a
14
reduction in the carbon uptake by phytoplankton was due to
effluent pH.
Importance of True and Apparent ColorTurbidity, and Suspended Solids
True and apparent color, turbidity, and total suspended
solids (TSS) are all known to affect light attenuation by
both scattering and absorption mechanisms, and would be
expected to have an influence on phytoplankton productivity
in the Red River (23). Alterations in the values of these
parameters in the Red River as a result of discharged
wastewaters may be reflected in changes in primary
productivity. Provided the wastewaters cause increased
light attenuation in the water column, a decreased level of
phytoplankton productivity would be expected. Less light
would be available to phytoplankton organisms. This
relationship would be true primarily during normal light
conditions. However, at extremely low or high light
conditions a decrease in photosynthetic processes, due to
decreased light, would not be proportional.
Importance of Nitrogen and Phosphorus
Nitrogen compounds have been shown to be important in
algal productivity (22). Phosphorus and phosphorus cycling
rates are the most frequent regulating mechanisms of primary
productivity (23). Therefore, it is imperative that
nitrogen and phosphorus compounds be considered in an
15
assessment of primary productivity in the Red River. These
vital nutrients serve as the base of phytoplankton
production, and any production changes resulting from mill
wastewaters would be reflected in either increased or
decreased phytoplankton populations or rates of
photosynthesis.
Importance of Light
As a means of relating possible alterations in water
quality resulting from mill wastewater discharges,
measurements of the amount of light energy impinging on the
water column were made. It is apparent from the general
photosynthetic formula that the amount and character of
light entering the aquatic system has much to do with
primary production levels of phytoplankton organisms.
Light absorption, or attenuation coefficients, can be
calculated to describe the rate at which various wavelengths
of light disappear through the water column (4; 20; 22).
Vertical absorption coefficients are expressed as:
k = n Io - In Iz
z
where:
k = vertical absorption coefficient
z = depth (m)
I = subsurface irradiance
Iz = irradiance at depth, z (1).
16
Surface light intensity readings were made to determine
the incident light. In addition, readings were taken at one
meter, or off the bottom if the water depth was less than
one meter. It was possible from these two measurements to
calculate the vertical absorption coefficients at each
sampling station (lRR-4RR).
Definition of Terms
1. Primary Productivity is defined as the rate at
which radiant energy is stored by photosynthetic and
chemosynthetic producer organisms in the form of organic
substances.
2. Gross Primary Productivity is defined as the total
rate of observed change in biomass, plus all predatory and
nonpredatory losses divided by the time interval.
3. Net Primary Productivity is defined as the gross
rate of accumulation or production of new organic matter or
stored energy, less losses, divided by the time interval.
4. Standing Crop is defined as the weight of organic
material that can be sampled or harvested by normal methods
at any one time from a given area or volume.
5. Biomass is defined as the weight of all living
material in a unit area at a given instantaneous time.
17
6. Production is defined as the weight of new organic
material formed over a period of time, plus any losses
during that period.
Objectives and Hypotheses
The objectives of this study were to assess the impact
of wastewaters from International Paper Company's paper mill
on in sit.u primary productivity in the Red River and to
determine whether there was any significant difference (p$
0.05) between the upstream reference site (station 1RR) and
downstream experimental sites (stations 2RR, 3RR, and 4RR).
A second objective was to compare the postoperational data
on in situ primary productivity with the previously
collected preoperational data.
To accomplish these objectives, primary productivity
was measured in the field and associated water quality
parameters were determined in the laboratory. Primary
productivity values obtained at the upstream reference site
were compared with downstream experimental site values to
determine possible effects of the mill wastewaters on
phytoplankton productivity in the Red River. Likewise,
water quality parameters potentially influencing primary
productivity were analyzed between upstream reference and
downstream experimental sites to isolate possible factors
influencing resultant differences in primary productivity of
the phytoplankton organisms.
18
The following hypotheses indicate two possible results
of upstream reference site versus downstream experimental
site comparisons:
1. H0 : Phytoplankton primary productivity was not
altered at downstream experimental sites relative to
upstream reference site.
H : Phytoplankton primary productivity was altered
at downstream experimental sites relative to upstream
reference site.
2. H0: Physical, chemical, and biological water
quality parameters associated with primary productivity were
not altered at downstream experimental sites relative to
upstream reference site.
H : Physical, chemical, and biological waterHa
quality parameters associated with primary productivity were
altered at downstream experimental sites relative to
upstream reference site.
CHAPTER BIBLIOGRAPHY
1. Cole, G. E. Textbook Qf Li nolo.. gy, St. Louis, C. V.Mosby Company, 1979.
2. Cooley, J. M. 1977. Filtering rate performance ofDaphnia retrocura in pulp mill effluent.i. Fish. Res. d. .a . 34: 863-868.
3. Engineering Science, Inc., 1979. Environmentalassessment for .t IP-1. c oia nerboard
complex, Desoto Parish, Louisiana. FinalReport to International Paper Company,Mansfield, Louisiana.
4. Gotterman, H. T. Physiological Limnology, New York,Elsevier Scientific Publishing Company, 1975.
5. Higham, R. R. A. A Handbook QI Papermaking, OxfordUniversity Press, London, 1968.
6. Holm-Hansen, 0. and R. Booth. 1966. The measurementof ATP in the ocean and its ecologicalsignificance. Limnil. and Oceanogr.11: 510-519.
7. Hutchins, F. E. The Toxicity of Pulp and Paper MillEffluent: A Literature Review. EPA-600/3-79-013 Environmental Research Laboratory, Corvallis,OR., 1979.
8. Johnson, M. G. 1977. Caloric changes along pulp andpaper mill effluent plumes. . Fsh Bd.Can. 34: 784-790.
9. Kelso, J. R. M. 1977. Density, distribution, andmovement of Nipigon Bay fishes in relation to apulp and paper mill effluent. J. Fish. Res. Bd.Can. 34: 879-885.
10. Minns, C. K. 1977. Analysis of a pulp and paper millplume. T. Fish. Res. Bd. .Can. 34: 776.
19
20
11. Moore, J. E. and R. J. Love. 1977. Effect of pulpand paper mill effluent on the productivity ofperiphyton and phytoplankton. J. Fish. Res.Bd. Can. 34: 856.
12. Preoperational Aquatic Studies at the Mansfield Mills,Volume 2: Baseline Report. May 1982. Instituteof Applied Sciences, North Texas StateUniversity, Denton, Texas.
13. Rainville, R. P., B. J. Copeland, and W. T. McKean.1975. Toxicity of Kraft mill wastes to anestuarine phytoplankter. J. Water Poll. Count.Fed. 47: 487-503.
14. Saltman, David. Paper si. New York,Van Nostrand Reinhold Company, 1978.
15. Sibert, J. and R. R. Parker. 1973. Effect of pulpmill effluent on dissolved oxygen in a stratifiedestuary, II Numerical Model. Water Res.7: 515-523.
16. Standard Methods for the Examination of Water andWastewater, 15th ed., APHA-AWWA-WPCF, AmericanPublic Health Association, 1980.
17. Steeman-Neilsj, E. 1952. The use of radioactivecarbon ( C) for measuring organic productionin the sea. 2. Cons. Internat. Explor. Mer.18: 117-140.
18. Stockner, J. G. and David D. Cliff. 1976. Effects ofpulp mill effluent on phytoplankton production incoastal marine waters of British Columbia.T. Fish. Res. Bd. Con. 33: 2422-2433.
19. Strickland, J. D. H. 1960. Measuring the productionof marine phytoplankton. Bull. Fish. Res. Bd.Con. 122: 172.
20. Talling, J. F. 1957. Photosynthetic characteristicsof some freshwater plankton diatoms in relationto underwater radiation. New Phytol. 56:29-50.
21
21. United States Geological Survey, 1978 - 1981. Waterresources data for Louisiana Vol. I., Central andNorthern Louisiana. Water years 1978, 1979,1980, and 1981. Water Resources Division,U. S. G. S., Jonesboro, LA.
22. Vollenweider, R. A. A Saul f Methods fQLMeasurig Primary Production in AquaticEnvironments, 2nd ed., London, Blackwell, 1974.
23. Wetzel, R. G. Limnology. Philadelphia, W. B.Saunders Company., 1975.
CHAPTER II
MATERIALS AND METHODS
Preoperational productivity experiments were conducted
on the Red River in November 1980 and in February, May, and
August, 1981. Postoperational productivity experiments were
conducted in November 1982 and in February, May, and August,
1983. These studies were in situ experiments. All other
water quality parameters were sampled on a monthly basis
throughout this entire sampling period, and were analyzed in
the Limnology laboratories at North Texas State University.
Productivity Stations
Sampling stations were chosen for primary productivity
experiments as shown in Figure 2 in Chapter I. Station 1RR
is located 1.6 km upstream of the International Paper (IP)
outfall to the Red River. This station was chosen as a
reference site to represent river conditions unaffected by
paper mill effluents. Three additional sampling stations
were distributed downstream from the IP pipeline discharge
site. These stations were designated 2RR, 3RR, and 4RR and
were located 1.6 km, 4.8 km, and 11.3 km, respectively,
downstream from the IP outfall. one additional station,
WRR, was chosen at the point where mill wastewaters enter a
pipeline connected to the outfall. Station WRR was
22
23
monitored for chemical parameters only. Sampling station
descriptions are presented in Table II.
In Situ 14C Studies
The classic light and dark bottle 14 C method (5) of
measuring planktonic productivity was performed at each
sampling station (excluding WRR). Triplicate, 300 ml,
Wheaton light and dark bottles were filled at the respective
stations with river water and inoculated with 1 ml of 14C
labeled sodium bicarbonate solution (Na14CO3). The bottles
were incubated in a floating incubation rack for a
photo-period of approximately four hours. Incubation depth
for the bottles ranged from 5 to 10 cm.
One incubation bottle marked "field standard" was
filled with sample water at both upstream (IRR or 2RR) and
downstream (3RR or 4RR) locations by one of two field crews.
These bottles were injected with 1 ml of 14C labeled sodium
bicarbonate solution, shaken, and 5 mls of the solution was
placed into a scintillation vial containing 15 mls of
Aquasol-II (New England Nuclear) scintillation fluid. This
mixture was shaken and placed in the field box for shipment
back to the laboratory. This sample was used to determine
how much 4C was actually inoculated into the light and
dark bottles in the field. Field standard incubation
bottles were not acidified prior to injection of 5 ml
subsamples into the scintillation vials.
24
TABLE II
PREOPERATIONAL AND POSTOPERATIONALSAMPLING STATION LOCATIONS
ON THE RED RIVER
Station Description P 0Number
1RR 1.6 km upstream of the IP* pipe-line discharge site on the RedRiver (near Abington, La) X X
2RR 1.6 km downstream of the IP*pipeline discharge site on theRed River (near Abington, La) X X
3RR 4.8 km downstream of the IP*pipeline discharge site on theRed River X X
4RR 11.3 km downstream of the IP*pipeline discharge site on theRed River (8 km upstream ofCoushatta, La) X X
WRR Overland flow wastewater at thepermit point X
P = Preoperational; 0 = Postoperational;* = International Paper Company.
25
One ml of 3N H2SO4 was injected into each phytoplankton
bottle at the end of the incubation period to terminate the
14C experiments. The acid acted to halt the photosynthetic
reactions and also served to convert the unassimilated
inorganic carbon, both radioactive and normal isotopic, to
free CO2 by lowering the pH to less than 2.0. Bubbling the
subsamples with air, as described later, drives off the
gaseous 14CO2 and 1 2 CO2, leaving only the 1 4 C bound as
organic compounds for liquid scintillation assay (3).
Analysis of 14 C Phytoplankton Samples
Assimilation of 14C by phytoplankton was determined by
liquid scintillation counting techniques. In the
laboratory, the phytoplankton incubation bottles were shaken
twenty to twenty-five times to assure sample uniformity. A
5 ml subsample was then removed from each bottle and placed
into a scintillation vial. The scintillation vial was then
placed in a vacuum bubbling chamber. The chamber top was
liberally greased with stopcock grease and clamped down to
the bottom with four wing-nuts (one per corner). Pasteur
pipets were fitted through the openings in the top,
extending down into the 5 ml subsample. Vacuum was applied
to the chamber and adjusted until each vial was bubbling
approximately at the same rate. Subsamples were allowed to
bubble for 20 to 30 minutes. Vial caps were labeled with
26
the appropriate station number and replicate letter while
subsamples were bubbling.
Subsample vials were removed from the chamber after
bubbling and 15 mls of Aquasol-II (New England Nuclear) was
added to each vial before capping. Each vial was wiped
clean of finger prints and/or other contaminants and then
placed in a Beckman LS-l00-liquid scintillation counter.
Subsamples were allowed to sit overnight (dark adapt) to
quench chemical and/or light-stimulated scintillations prior
to counting.
The subsamples were then counted three times each for
one minute using channel 2 (C-14 + 3H) with a preset error
of 0.2 per cent. Three 14C-toluene standards (New England
Nuclear) containing 25,625 disintegrations per minute (dpm),
52,500 dpm, and 102,500 dpm were counted along with the
plankton subsamples to determine counting efficiency for
each respective count. The percentage of disintegrations
per minute counted relative to the known quantity in the
standards were used to determine counting efficiencies.
Absolute phytoplankton productivity rates were calculated
from the following equation (4, modified):
Phytoplankton 14C x C12.x.064Productivity =
1C. x T
where:
14Cf = (cpm light-cpm dark) x 10 3 ml.L-1
12Ci = initial dissolved inorganic carbon (mgC.L1 )
27
14C. = C initially available (cpm)
T = incubation time (hr)
1.064 = isotopic correction factor for 1 4 C (6).
Analysis of Carbon
Field
Triplicate prewashed 25 ml glass sample vials were
filled with river water at all Red River sampling stations.
The samples were stored on ice and returned to the
laboratory for analyses.
Laboratory
A Beckman Model 915 Total Organic Carbon analyzer was
coupled with a Beckman Model 215-A Infrared analyzer for
carbon analyses. A Perkin-Elmer Model 056 chart recorder
was employed to record peak heights. The TOC analyzer
consists of two channels, inorganic and total. It was
necessary to warm up both channels prior to sample injection
by turning on the ovens approximately one hour before
analysis. The total inorganic carbon channel was operated
at 150*C and the total organic carbon channel operating
temperature was 950*C. A carrier gas of nitrogen was
utilized at a flow rate to each oven of 150 mls.min~1.
Inorganic carbon standards were prepared according to
the procedures described in the Beckman TOC analyzer
instruction manual. This procedure involved dissolving
28
4.404 gm anhydrous sodium carbonate in 500 mis of C0 2-free
water in a 1-liter volumetric flask. Also, 3.497 gm
anhydrous sodium bicarbonate was added to the flask and
diluted to one liter with C0 2-free water. This solution
contained 1000 ppm inorganic carbon. Working standards were
prepared by adding 1, 2, and 3 ml of the 1000 ppm stock
solution to separate 100 ml volumetric flasks and diluting
to 100 mIs with C02 -free water. These working standards
contained inorganic carbon concentrations of 10, 20, and 30
ppm, respectively.
After warm-up procedures were accomplished, a 200 i1
subsample of each working standard was injected into each
channel for the purpose of obtaining data to develop a
standard curve. Next, sample vials were shaken and 200 uls
portions were drawn with a special syringe and injected into
both channels. As the 200 ul portion of sample entered the
heated-packed column, vaporization occurred and the organic
matter was oxidized to carbon dioxide. The amount of carbon
dioxide generated was measured by means of the infrared
analyzer and recorded on chart paper by the chart recorder.
After raw samples were injected into both channels, a
portion of raw sample was then filtered through a 0.45 um
glass fiber filter. The filtrate was then injected into
both channels, as previously described. These injections
yielded inorganic and total carbon data for dissolved
29
carbon. Absolute TOC and DOC sample concentrations
(mgC.L-1) were calculated from the following equations:
TOC = unfiltered TC - unfiltered IC
DOC = filtered TC - filtered IC
where:
TC = total carbon channel
IC = inorganic carbon channel.
Analysis of Adenosine Triphosphate (ATP)
ATP analysis was performed on all triplicate Red River
samples following each monthly survey. A subsample of 10 to
50 mIs of wastewater was filtered through a sterile 0.45 um
filter using vacuum at 12 to 15 mm Hg. Immediately prior to
the filter being sucked dry, the vacuum was turned off and
the filter was placed face down in boiling Mclllvaine buffer
solution (1). Mclllvaine buffer is a sodium
phosphate/citrate buffer with an adjusted pH of 7.70.
Filters were then extracted for three minutes, removed
and rinsed with sterile boiling buffer. The solution was
allowed to continue extracting for an additional two
minutes. The final extract was diluted to 10 mls in a
graduated cylinder, transferred to a labeled test tube and
frozen until assayed.
To perform ATP assays, 250 mg of firefly lantern
extract was rehydrated in 25 mls of deionized water. The
firefly lantern extract was allowed to stand at ambient room
30
temperature for 2 to 3 hours, at which time it was
centrifuged at 4000 rpm for 20 minutes. The supernate was
decanted and allowed to stand an additional 18 to 20 hours
at ambient room temperature. It was necessary to age the
firefly enzyme for this period of time in order to decrease
its background for best reproducibility.
A SAI Technology Model 2000 ATP photometer was used to
assay extracted samples. Frozen samples were removed from
the freezer and allowed to thaw to room temperature before
being analyzed. Stock ATP standards were prepared prior to
analyses and frozen. Stock ATP standards contained 100
ng.mL-1 and were diluted to working concentrations ranging
from 0.625 to 10 ng.L-1 for development of a standard curve.
Assay procedures involved the addition of 200 Is of
sample or standard to a glass scintillation vial. Next, 200
Is of aged firefly enzyme was injected into the vial and
swirled to insure adequate mixing. The vial was placed into
the photometer, which had began a 15-second delay sequence
upon enzyme and sample introduction. Counts were made in a
60-second integrated mode and recorded. Final ATP
concentrations (ng.L-1) were calculated from the
predetermined standard curves.
31
Light Measurements
To identify possible light attenuation in the water
column resulting from mill wastewaters, measurements of the
amount of light energy impinging on the experimental
stations during each monthly survey were made. This was
accomplished using two light measurement instruments. A
portable Belfort 5-3850 pyranograph measured the total light
energy ranging from 280 to 2000 nm wavelengths. This
instrument was employed at a representative sampling station
during j, situ productivity experiments. The pyranograph
measurements were determined in units of Langleys.hr-1
(ly.hr-1 ). In addition to the pyranograph measurements, a
Protomatic submarine photometer was used to measure incident
and reflected light intensities at each station just below
the water surface and at 1.0 m depth. The photometer
measures light intensities ranging from 300 to 800 nm
wavelength in units of foot-candles (ft-c). These
measurements were made during each monthly survey period and
were used to calculate vertical absorption coefficients at
each sampling station.
Data Analysis
All data analyses were performed using a National
Advanced System (NAS) 5000 computer. Statistical Analysis
System (SAS) (2) and MUSIC interactive programs were used
for all computations, nonparametric analysis of variance,
and Student-Newman-Keuls multiple range analysis. The
32
statistical tables in Zar (6) were consulted in tests for
significance.
CHAPTER BIBLIOGRAPHY
1. Bulleid, N. C. 1978. An improved method for theextraction of adenosine triphosphate from marinesediment and seawater. Limnology andOceanography. 23: 174-178.
2. SAS Institute, Inc. SAS User's Guide: Basics, 1982Edition. Cary, N. C.: SAS Institute Inc., 1982.923 pp.
3. Schindler, P. W., R. V. Schmidt, and R. A. Reid. 1972.Acidification and bubbling as an alternative tofiltration in determining phytoplankton productionby the 1 4 C method. J. Fish. Res. Board Can.29: 1627-1631.
4. Standard Methods for the Examination of Water andWastewater, 14th Ed. APHA-AWWA-WPCF, AmericanPublic Health Association, 1975.
5. Steeman-Nielson, E. 1952. The use of radioactivecarbon (14C) for measuring organic production inthe sea. J. Cons. Internat. Mer. 18: 117-140.
6. Zar, J. E. Biostatistical Analysis, EnglewoodCliffs, N. J., Prentice-Hall Inc., 1974.
33
CHAPTER III
RESULTS AND DISCUSSION
River and Wastewater Flows
The seasonal variation in Red River flows during
preoperational studies is indicated in Table III. In
addition, Table IV shows postoperational river flows and the
mean volume of mill wastewaters discharged per month during
postoperational surveys, along with per cent dilution of
wastewater entering the Red River (v/v).
Preoperational
Red River flows ranged from 99 m3 .sec~ during the
January 1981 survey to 2045 m3.sec~ during the June 1981
survey. In general, flows were higher during the winter
months than during the summer months.
Postoperational
Postoperational Red River flows varied seasonally from
159 m3.sec~I in October 19.82 to 1842 m3.sec~ in December
1982. Postoperational flows are summarized in Table IV
where mean monthly river flows, mean monthly mill wastewater
discharge, and per cent dilution (v/v) of mill wastewaters
to Red River flows are indicated. The mill wastewater
discharge comprised no more than 0.057 per cent of the total
34
35
volume of water in the Red River during any one
postoperational survey.
TABLE III
PREOPERATIONAL RED RIVER MEAN MONTHLY FLOWS (m .sec1 )FOR THE PERIOD NOVEMBER 1980 THROUGH AUGUST 1981
Survey Red River Flows *x
Nov 80 205
Dec 80 368
Jan 81 99
Feb 81 371
Mar 81 201
Apr 81 235
May 81 1107
Jun 81 2045
Jul 81 935
Aug 81 159
* Measured at the Shreveport Louisiana U. S. G. S.gage.
36
TABLE IV
POSTOPERATIONAL RED RIVER MEAN MONTHLY FLOWS AD IP MANSFIELDMILL DISCHARGE LEVELS TO THE RED RIVER (m . sec1)
FOR THE PERIOD OCTOBER 1982 THROUGHAUGUST 1983; PER CENT DILUTION OFMILL EFFLUENT TO RED RIVER FLOW
Survey Red River Mill Per centDate Flows ** Discharge Dilution
X X (v/v)
Oct 82 159 0.09 0.057
*Nov 82 282 0.13 0.046
Dec 82 1842 0.17 0.009
Jan 83 904 0.17 0.018
*Feb 83 1034 0.18 0.017
Mar 83 970 0.19 0.020
Apr 83 420 0.14 0.033
*May 83 953 0.23 0.024
Jun 83 469 0.15 0.032
Jul 83 768 0.08 0.010
*Aug 83 . 0.12
* = Quarterly surveys during which in situ primaryproductivity experiments were conducted.
** = Measured at the Shreveport Louisiana U. S. G. S.gage.
37
IP Mansfield Mill WastewaterCharacteristics
To gain an understanding of the nature of wastewater
being discharged into the Red River during postoperational
studies, a summary of selected water quality parameters for
station WRR is provided in Table V. As previously mentioned
in Chapter II, station WRR was selected at the permit point
to represent overland flow of the wastewaters entering the
Red River. All selected laboratory parameters were
characterized and reported as mean values of three
replicates (except for pH, which was measured in the field).
Phytoplankton Primary Productivity
Preoperational
Lnjjtu primary productivity experiments were conducted
at stations 1RR through 4RR in November 1980, and February,
May, and August, 1981. Data were not obtained at station
3RR during the November 1980 survey or station 4RR during
the February 1981 survey due to sampling difficulties.
Despite this loss of information, the preoperational primary
productivity experiments yielded similar values between
upstream reference and downstream experimental stations.
Table VI shows mean values of three replicate samples of in.
situ phytoplankton determinations made during the
preoperational survey. Also listed in Table VI are results
of Kruskal-Wallis analysis of variance between stations
04H c 'JmC31tAN
f R f R " f S R " R R
P40rzrz
0
Uc
H W(n4H 4
u rUcm~
co
H0H,
E- 0
W 0
W 0
44P4 W
~ooHm
FC)
HUH O
0
A
W4 H
W W
P4
H O
C/)
O C 2Coo Z CO o
00 ) Cd (I Cd 0C d S DO Zd aE ho
38
W NcON 0NNoesN
0 d0 o r-4 M
(r 000000 0cn)rMNo n00r0000NM4Lr~ca N N~400 C LrHC\1 -
U
ooooLnooooor-O 0L00LNoCLmm CH
H-1 oNo tocNN 0 oQ IN N N M N HNNU
o HLHLM o e e r- r3O riC3NC7osadw comndee
U 0uNcooLC S 5 .
O r-WNm mA rHCN HHr
U c,0 .oh a.bH *O HCnM ?) i4O:r CdH HcI M ri roi
004n000 rriO ~C)iiOa41 ocr-i NNotl
2 MN oMrHcocoM
100000000ooos . . . .
Mz -- oooi ooooo
0 1I
r-H
mz H H Ncx I .0 o 000 000 *-z 0 o 0 00
0 M H 0 o N oMt4pco0
H r-I ir-r- H (1 N"0
tLCrN HHHHHHH" r
- 00Hr-i.00 q 0CON
U . .0
00000000 00
LI
H
04
a~ HrZ
r4% 04
EH M
0Dr
H H H
H Z H z
zr'r4o
E-+2
H~ wHH
w0 H
UC040 4
H
Cd
N
->1H
Cd
39
TABLE VI
PREOPERATIONALJOED.IVER PHYTOPLANKTON 1 4 C PRODUCTIVITYRATES-(mgC.m hr ) MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
NOV 80 94 216 a. 79 0.0439 2RR 1RR 4RR
FEB 81 101 187 131 a. NS 2RR 3RR 1RR
MAY 81 13 2 7 21 0.0444 4RR lRR 3RR 2RR
AUG 81 422 413 344 432 NS 4RR 1RR 2RR 3RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05;a = Station not sampled.
and Student-Newman-Keuls (S-N-K) multiple range groupings of
stations. The Kruskal-Wallis test is a nonparametric
technique similar to the parametric analysis of variance
test and the S-N-K procedure is a nonparametric technique
similar to the parametric Duncan's Multiple Range Test for
comparisons. Both of these statistical analyses were chosen
because data did not consistently meet all the assumptions
necessary to apply parametric statistical procedures.
Kruskal-Wallis analysis of variance and S-N-K tests were
also determined for all preoperational and postoperational
water quality parameters.
40
No significant difference (pi0.05) between upstream
reference station and downstream experimental stations was
shown by Kruskal-Wallis tests for February and August, 1981.
(See Table VI.) However, there was a statistically
significant difference (p6:0.05 ) between stations 1RR and 2RR
in November 1980 and May 1981 surveys, with productivity at
2RR greater than at IRR. These differences can be
attributed more to local river fluctuations rather than any
environmental significance since no wastewaters were being
discharged during preoperational studies.
Graphical representations of phytoplankton primary
productivity data for the preoperational surveys are
presented in Figures 3 through 6. Mean values of three
replicates (mgC.m-3.hr~1) are plotted by station for each
survey period. Figures 3, 4, and 6 show comparable values
for the November 1980, February 1981, and August 1981
surveys. Primary productivity values obtained in May 1981
are an order of magnitude less than the other three
preoperational survey periods. An examination of light data
during this survey does not provide a complete explanation
of decreased productivity levels. (See Table XXXII.)
Pyranograph readings during this survey were generally
similar to other preoperational survey periods.
In general, there was a relative increase in
phytoplankton primary productivity from upstream to
downstream locations. Specifically, station 1RR is the
mgCrm-3.hr. Mean
200 +
180 +
160 +
140 +
120 +
100 +
80 +
60 +
40 +
20 +
Station
**A
AAAAR
ARAAA
*****A
*****
*RAAAA
A**A*R
***AAA
*****A
**AAA
***A*A
AR* A A
IRR
*AAAA
AA*AA
AAARA
AA*AA
AAAA*
*AAA*
A*AAA
AAAAA
AAA**
* *R* *A
A**AR
A*AAA
A*A*A
AA*A*
AAAAA
A*AA*
AAAAR
A**AA
****
*****
A **A*
*A ** *
*AAAAA
A*A*
A**A*A
AAAAA
A A*A A
RAAA*
A**A*A*
2RR
*A*AA
*AA
**A*A
AA*AA
A*A*A
* A*A A
3RR
Fig. 3--Phytoplankton primary productivity datafor Red River (mgC'm-3 hr'-) , November 1980. Meanvalues of three replicates.
it
mgC'm-3.hr' Mean
180 +
160 +
140 +
120 +
100 +
80 +
60 +
40 +
20 +
Station
AAAAA
*****A
**AAAA
AAAAA
AA***
A*
A*AA
** A
AAAAA
1RR
AAAAA
A**A
*EA*A
AAAAA
* # *#
* * * *
*it* ***
**ka***
***A **
****
*A*AAA
AAAAA
AAAAA
*AA**A
*A***A
*AAAA
*AA*
2RRAA
*AAAA
AAAAA
AAAAA
AA***
EA*AA
AAAAA
AAAAA
AA*AA
*AA*
A*AA*
****A
AAA*
AARAA***
**********
******A*A
*** *
3RR
Fig. 4--Phytoplankton primary productivity data
for Red River (mgC-m-3-hr~ ) . February 1981.
mgCm-3.hr~ Mean
20 +A*A *A
18 +
16 +***A*
14 +
12+**
10 +**
AA*
*A*A*A
12 + AAAA*A**
6+
4 +
8 + AAAA**
Station 1RR 2RR 3RR 4RR
Fig. 5--Phytoplankton primary productivity data for
Red River (mgCmA3AhrA) . May 1981.
mgC.m-3.hr Mean
400+
350 +**** *** **
250+
******
200+
150 +
100 +
50 +
---------------------------------------------------
S tat ion 1 RR 2 RR 3 RR 4 RR
Fig. 6--PhytoplalktOfl primary productivity datafor Red River (mgC nC-3 hr*1). August 1981.
45
upstream location, and stations 2RR, 3RR and 4RR are the
downstream locations. The reference point used for this
determination was the wastewater discharge site. Table VI
and Figure 6 indicate that phytoplankton productivity rates
peaked in August 1981. Minimum rates were observed in May
1981. (See Table VI and Figure 5.)
Phytoplankton primary productivity rates were highly
variable during preoperational studies. The coefficient of
variation ranged from 8.00 at station 1RR to 25.37 at
station 2RR during the November 1980 quarterly survey. The
February 1981 quarterly survey was also highly variable with
coefficients of variation ranging from 11.76 at station IRR
to 38.85 at station 3RR. Primary productivity rates were
most variable during the May 1981 preoperational survey;
coefficients of variation ranged from 28.27 at station 3RR
to 73.80 at station 1RR. Results from the August 1981
quarterly survey indicate the least amount of sample
variability during preoperational studies; coefficients of
variation ranged from 2.09 at station 3RR to 19.26 at
station IRR.
Postoperational
L nsitu 4e productivity experiments conducted during
November 1982, and February, May, and August, 1983 indicate
results similar to those shown in preoperational studies.
The trend of increased phytoplankton productivity downstream
46
from mill discharge was observed in the postoperational
studies, also. (See Table VII and Figures 7 through 10.)
With the exception of the November 1982 survey, all
postoperational surveys yielded increased productivity rates
downstream from the mill wastewater discharge site. Table
VII shows the results of Kruskal-Wallis analysis of variance
between stations for postoperational surveys. With the
exception of the May 1983 survey, all postoperational
surveys showed between station difference (p 0.05) with
Kruskal-Wallis tests. Student-Newman-Keuls groupings of
stations in Table VII show differences between upstream and
downstream stations during the November 1982 survey, as well
as the February and August 1983 surveys. No statistical
significance was shown in the May 1983 survey, yet the trend
of increased productivity rates downstream from the mill
wastewater discharge site was evident.
Postoperational phytoplankton productivity rates peaked
at stations 3RR and 4RR during the August 1983 quarterly
survey. The lowest postoperational productivity rates were
observed during the February 1983 survey. (See Table VII
and Figure 8.)
Primary productivity rates were highly variable during
postoperational studies, as in previous preoperational
studies. Coefficients of variation during the November
47
TABLE VII
POSTOPERATIONAL3 REDRIVER PHYTOPLANKTON 14 C PRODUCTIVITYRATES-(mgC.m .hr ) MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
NOV 82 202 371 322 407 0.0232 4RR 2RR 3RR IRR
FEB 83 9 8 4 3 0.0245 1RR 2RR 3RR 4RR
MAY 83 326 384 353 398 NS 4RR 2RR 3RR 1RR
AUG 83 282 325 2002 825 0.0378 3RR 4RR 2RR 1RR
NS = Not Significant (Kruskal-Wallis Test), p0.05.
1982 quarterly survey ranged from 4.27 at station 4RR to
11.51 at station 2RR. During the February 1983 survey,
coefficients of variation ranged from 2.60 at station 1RR to
26.91 at station 3RR. Similarly, coefficients of variation
during the May 1983 survey ranged from 1.90 at station 3RR
to 17.82 at station 2RR. The August 1983 survey showed the
greatest amount of sample variability, with coefficients of
variation ranging from 2.41 at station 4RR to 110.78 at
station 3RR.
48
mgC'm- 3 .hr~ Mean
400 +
350 +
300 +
250 +
200 +
150 +
100 +
50 +
Station
** **** *
*****
*****
1RR
***
*AAAA
* * * ***A*
*** **
*****
* * *
** *
****AA
A*A
*A*A*A
AAA
A*A*Af A
*AAAAA
AAAAA
AAAA*A
Aft A Af
2RR
ft A Af**AAAAA
Aft AAA
* * *
*** *
*A***
AA*A
** **
** ** *
** ** A
*****
**** *
***
Af***
3RR
* ** **AA**AAf* * *
AAAA,
AAAAA
**AAA
AA**A
*AA
**A
AAAWA
AAAAA
**AA
* *
A*f*
AAAAA
* AAAA*A*A*A
***AA
AA*A*
*AAAA
4RR
Fig. 7--Phytoplankton primary productivity data
for Red River (mgC.m3'hr- 1 ) . November 1982.
49
mgC'm3hr- Mean
8+
7+
6+
5 +
4+
3 +
2 +
I +
3 RR 4RR
Fig. 8--Phytoplankton primary productivity data forRed River (mgC-m- 3 -hr-1) . February 1983 .
AAAAA
AAAAA
AAAAA
AAAAA
*****
*****
*****
*****
* ****
its***
*****
*****
* * A*A
** AA
* A*
AA*
AA*AA
AAAA
AAAAA
AAAAA
AAAAA
*AAAA
AAAAA
AAA*
AAAAA
******A* ***
AAAAA
*AAAA
AAAAA
AAAAA
** ** *
* ** **A* A A
*AAA
* ****
*****
*****
* ** A
*A* ***
AAAAA*
A*AAA
AAAAA
AAAAAiAAAAA
*aA*AAAAAAA
iAAala aAA
AaatA AAAA
AAAAAA*aaA
*AAaaAAAAaatA*A *AAaAAAAAA*AA
**t~** *
at ***e t*
-- AAAA --- AAAAA-
2RRStation IRR
mgC.m-3.hr Mean
400 +
350 +
300 #* AN
AN
250 +
AN
200 +
150 "+
100 +*
50 +
Station )
ANN
ANNi
ANN*
NAN *
rA7tNA
NANk
ANN
ANN7t
NAN *
NANkyC
ANN*
*ANA 7
ANN*
NAAk *
NAN C
ANNR
Fig. 9--Phytoplankton primary productivity data
for Red River (mgC'm-3-hr- 1 ). May 1983.
50
* m* *AN
* *NN*A
*N* NA
AN*N *N
AN* A NA
AN*A*A
*NNAN*N
* NNN N
NANNAANANA
ANN*N
ANNN
***AN
AN*NA
NANE
ANNA
**NN
ANN
N *N
A *N
NAN*
NNN
A**N*
NAN
*NN
4 RR
* * *#
* g*
* **
**#* *
* #
*** *
* * **A*NNA
#ANANA
AA*NNA
3RR2RR
51
mgC'm-3'hr~ Mean
2000 +
1800 + ,,AAf****
1600 + Af,
4 ~*****
1400 + Aft
1200 + AA*tf
1000 +frA t19 3
800 + AA
600 +** *ft*tf*
400 +ttff ~ tAtfffff
200 +~ * *~ fftf
Station IRR 2RR 3RR 4RR
Fig. IO--PhytoplanktOfl primary productivity data
for Red River (mgC.m3
hr). August 1983.
52
Chlorophyll a,
Preoperational
A summary of planktonic chlorophyll a, data for the
preoperational surveys is shown in Table VIII. No
TABLE VIII
PREOPERAT3 IONAL RED RIVER PLANKTONIC CHLOROPHYLL ,(mg.chla.m ) MEAN VALUES OF THREE REPLICATES; RESULTS
OF KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
Station
Kruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
NOV 80 140 131 142 122 NS 3RR 1RR 2RR 4RR
FEB 81 123 109 117 107 NS 1RR 3RR 2RR 4RR
MAY 81 15 11 11 8 NS 1RR 4RR 2RR 3RR
AUG 81 72 50 39 33 NS 2RR 4RR 3RR 1RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
significant difference was shown by Kruskal-Wallis analysis
of variance between stations for any preoperational survey
period. In general, mean chlorophyll a values (mg.chla.m3)
were higher at the upstream reference station than at
downstream experimental stations. It is interesting to note
that May 1981 chlorophyll a values were approximately an
order of magnitude less than other preoperational survey
53
periods. This observation supports the decreased May 1981
planktonic productivity rates indicated in Table VI.
Postoperational
Chlorophyll a concentrations for postoperational
surveys are summarized in Table IX. These mean chlorophyll
a results support parallel primary productivity data
generated during these survey periods. There is a relative
increase in chlorophyll a concentrations downstream from the
mill wastewater outfall. No significant difference (p<0.05)
between stations was shown by Kruskal-Wallis analysis of
variance for three out of four postoperational survey
periods. The November 1982 survey showed a significant
difference between upstream and downstream station
chlorophyll a concentrations. Student-Newman-Keuls
groupings of stations showed no difference between stations
1RR and 2RR, but both stations were significantly different
from both 3RR and 4RR (p<0.05). (See Table IX.)
Turbidity
Preoperational
Preoperational surveys, conducted from November 1980
through August 1981, yielded mean turbidity values as shown
in Table X. Mean values ranged from 13 NTU in August 1981
to 363 NTU in December 1981. Table X also lists
Kruskal-Wallis analysis of variance values for between
54
TABLE IX
POSTOPERAgIONAL RED RIVER PLANKTONIC CHLOROPHYLL s,(mg.chl4.m ) MEAN VALUES OF THREE REPLICATES; RESULTS
OF KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
NOV 82 57 57 36 28 0.0245 2RR 1RR 3RR 4RR
FEB 83 45 37 30 39 NS 1RR 4RR 2RR 3RR
MAY 83 67 71 69 81 NS 4RR 2RR 3RR 1RR
AUG 83 98 129 67 82 NS 2RR 1RR 4RR 3RR
NS = Not Significant (Kruskal-Wallis Test), p10.05.
station comparisons for each preoperational survey sampled
in this study. In addition, Student-Newman-Keuls multiple
range groupings of stations are shown.
Postoperational
Turbidity measurements taken in postoperational surveys
conducted from October 1982 through August 1983 are
summarized in Table XI. Minimum values were found during
the August 1983 survey, while maximum values were recorded
during the December 1982 survey. In general, turbidity
55
TABLE X
PREOPERATIONAL RED RIVER TURBIDITY (NEPHELOMETRIC TURBIDITYUNITS); MEAN VALUES OF THREE REPLICATES; RESULTS OF
KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 26 23 22 21 0.0085 1RR 2RR 3RR 4RR
12-80 363 271 259 242 0.0407 1RR 2RR 3RR 4RR
1-81 18 23 18 19 0.0059 2RR 4RR 3RR 1RR
2-81 40 40 47 39 NS 3RR 2RR 1RR 4RR
3-81 32 41 43 44 0.0360 3RR 4RR 2RR 1RR
4-81 28 26 26 32 NS 4RR 1RR 3RR 2RR
5-81 300 330 300 310 0.0086 2RR 4RR 3RR 1RR
6-81 267 220 257 237 0.0162 1RR 3RR 4RR 2RR
7-81 81 90 70 78 0.0009 2RR 1RR 4RR 3RR
8-81 13 18 17 18 0.0304 4RR 2RR 3RR .IRR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
56
TABLE XI
POSTOPERATIONAL RED RIVER TURBIDITY (NEPHELOMETRIC TURBIDITYUNITS) ; MEAN VALUES OF THREE REPLICATES; RESULTS OF
KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N--K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 38 59 46 52 0.0186 2RR 4RR 3RR 1RR
11-82 93 110 99 88 NS 2RR 3RR 1RR 4RR
12-82 393 505 505 505 NS 3RR 2RR 4RR 1RR
1-83 94 86 89 91 0.010 9 1RR 4RR 3RR 2RR
2-83 81 87 122 104 0.0001 3RR 4RR 2RR 1RR
3-83 144 100 128 128 0.0003 IRR 3RR 4RR 2RR
4-83 71 57 68 70 0.0035 1RR 4RR 3RR 2RR
5-83 78 82 64 88 NS 4RR 2RR 1RR 3RR
6-83 194 146 168 182 0.0347 1RR 4RR 3RR 2RR
7-83 105 112 114 107 NS 3RR 2RR 4RR 1RR
8-83 20 16 19 19 0.0406 IRR 3RR 4RR 2RR
Significant (Kruskal-Wallis Test), p<0.05.NS =_ Not
57
values varied seasonally and decreased in proportion with
river flows. (See Tables III and IV.)
Total Suspended Solids
Preoperational
Total suspended solids (TSS) values for monthly
preoperational surveys are summarized in Table XII. Mean
TSS values ranged from a minimum of 23 mg/L in January 1981
to a maximum of 755 mg/L in May 1981. Table XII presents
the results of Kruskal-Wallis analysis of variance between
station comparisons and S-N-K groupings. Statistical
significance (p0.05) was shown in July and August 1981.
However, judging from the relative difference in values, it
appears that these differences are not biologically
significant. In the case of the July 1981 survey, station
1RR (upstream reference) as shown to be significantly
different from stations 2RR, 4RR and 3RR, in that order.
During August 1981, stations 3RR and 4RR were significantly
different from 2RR, which was different from 1RR. There
appears to be no connection between upstream reference and
downstream experimental site differences.
Postoperational
Postoperational mean TSS summary values and statistical
comparisons are shown in Table XIII. The minimum
concentration of 50 mg/L occurred at station 3RR in August
58
TABLE XII
PREOPERATIONAL RED RIVER TOTAL SUSPENDED SOLIDS (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 93 68 93 99 NS 4RR 3RR 1RR 2RR
12-80 162 195 122 125 NS 2RR 1RR 4RR 3RR
1-81 23 41 26 31 NS .2RR 4RR 3RR 1RR
2-81 114 103 129 120 NS 3RR 4RR 1RR 2RR
3-81 78 95 95 83 NS 2RR 3RR 4RR 1RR
4-81 53 61 63 65 NS 4RR 3RR 2RR 1RR
5-81 755 604 632 625 NS 1 3RR 4RR 2RR
6-81 540 316 373 353 NS 18R 3RR 4RR 2RR
7-81 253 203 117 183 0.0003 1RR 2RR 4RR 3RR
8-81 46 79 117 97 0.0015 3RR 4RR 2RR_ RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
59
TABLE XIII
POSTOPERATIONAL RED RIVER TOTAL SUSPENDED SOLIDS (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RRI 2RR 3RR 4RR Wallis Grouping of Stations
10-82 62 130 79 93 0.0006 2RR 4RR 3RR 1RR
11-82 213 321 225 275 0.0040 2RR 4RR 3RR 1RR
12-82 761,1307 1196 1391 0.0088 4RR 2RR 3RR 1RR
1-83 145' 161 116 140 NS 2RR 1RR 4RR 3RR
2-83 125 257 313 157 0.0001 3RR 2RR 4RR 1RR
3-83 144 100 128 128 NS 1RR 4RR 3RR 2RR
4-83 711 57 68 70 0.0070 4RR 3RR 1RR 2RR
5-83 731 82 53 96 NS 4RR 2RR 1RR 3RR
6-83 453 527 471 607 NS 4RR 2RR 3RR 1RR7-83 323 335 374 311 NS alR 2RR 1RR 4RR
8-83 771 69 50 85 NS 4RR 1RR 2RR 3RR
NS = Not Significant (Kruskal-Wallis Test) , p<0.05.
60
1983, while the maximum value of 1391 mg/L was observed at
station 4RR in December 1982. Statistically significant
differences were shown between stations in October,
November, and December, 1982 and February and April, 1983.
In all but one of these surveys (April), station 1RR was
shown to have the lowest TSS concentration value.
Ammonia Nitrogen (NH3-N)
Preoperational tests for the presence of NH3-N in
triplicate monthly Red River samples yielded results of 0.0
mg/L for the period November 1980 through August 1981.
Likewise, postoperational analyses resulted in 0.0 mg/L
NH3-N for all survey periods from October 1982 through
August 1983, except December 1982. During this survey, all
replicates from all stations showed NH3-N levels of 0.2
mg/L. Since no difference was shown between any two
stations, no statistical analysis was possible.
Nitrate Nitrogen (NO3 -N)
Preoperational
Preoperational mean nitrate concentrations ranged from
0.0 mg/L in August 1981 to 0.7 mg/L in May 1981. Mean
values for each station are shown in Table XIV, along with
between station S-N-K comparisons. Significant differences
existed only during the February 1981 period. However, the
magnitude of difference was probably not biologically
significant (0.1 mg/L).
61
TABLE XIV
PREOPERATIONAL RED RIVER NITRATE NITROGEN (mg/L) ;MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey IRR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 0.1 0.1 0.1 0.1 NS 1RR 2RR 3RR 4RR
12-80 0.4 0.4 0.4 0.5 NS 4RR 2RR 3RR 1RR
1-81 0.4 0.4 0.4 0.4 NS .RR 2RR 3RR 4RR
2-81 0.4 0.4 0.4 0.3 0.0008 IRR 2RR 3RR 4RR
3-81 0.5 0.5 0.6 0.5 NS 3RR 4RR 2RR 1RR
4-81 0.2 0.2 0.2 0.2 NS IRR 3RR 2RR 1RR
5-81 0.6 0.6 0.6 0.7 NS 4RR 3RR 1RR 2RR
6-81 0.3 0.2 0.2 0.2 NS 1RR 2RR 3RR 4RR
7-81 0.3 0.3 0.3 0.3 NS 1RR 2RR 3RR 4RR
8-81 0 0 0 0 NS >RR 2RR 3RR 4RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
62
Postoperational
Postoperational mean nitrate values ranged from 0.1
mg/L at all four stations in February 1983 to 2.9 mg/L at
stations 1RR and 3RR in August 1983. Mean values of three
replicates for stations 1RR through 4RR are listed in Table
XV, along with the results of Kruskal-Wallis analysis of
variance and S-N-K groupings. A significant difference was
shown in January, April, and June, 1983. In all cases,
station 1RR was significantly different from station 4RR.
Due to the magnitude of these values, these differences are
probably not biologically significant. Any statistically
significant differences are more a result of data precision
rather than environmental significance. In general, station
1RR had higher NO3 -N values than downstream experimental
stations.
Orthophosphate
Preoperational
Results obtained in preoperational studies are shown in
Table XI. Mean values of ortho PO4 -P of three replicates
per station are listed by survey month. The minimum value
of 0.032 mg/L was observed at station 3RR in April 1981 and
the maximum value of 0.486 mg/L was found at station 4RR in
Decmeber of 1980. Significant differences between stations
was shown by Kruskal-Wallis analysis of variance in
TABLE XV
POSTOPERATIONAL RED RIVER NITRATE NITROGEN (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 0.4 0.3 0.3 0.3 NS 1RR 2RR 3RR 4RR
11-82 0.4 0.4 0.4 0.4 NS IRR 2RR 3RR 4RR
12-82 0.2 0.2 0.2 0.2 NS 1RR 2RR 3RR 4RR
1-83 0.3 0.3 0.2 0.2 0.0061 1RR 2RR 3RR 4RR
2-83 0.1 0.1 0.1 0.1 NS 1RR 2RR 3RR 4RR
3-83 0.2 0.1 0.2 0.2 NS IRR 2RR 3RR 4RR
4-83 0.4 0.3 0.3 0.3 0.0086 IRR 3RR 2RR 4RR
5-83 0.4 0.4 0.4 0.4 NS 1RR 2RR 3RR 4RR
6-83 2.3 1.9 2.0 1.7 0.0447 IRR 3RR 2RR 4RR
7-83 2.4 2.4 2.4 2.4 NS 1RR 3RR 2RR 4RR
8-83 2.9 2.8 2.9 3.3 NS 4RR 1RR 3RR 2RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
64
TABLE XVI
PREOPERATIONAL RED RIVER ORTHOPHOSPHATE PHOSPHORUS (rng/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 .050 .048 .062 .061 NS 3RR 4RR 1RR 2RR
12-80 .484 .378 .445 .486 0.0082 4RR 1RR 3RR 2RR
1-81 .066 .069 .065 .047 0.0240 2RR 1RR 3RR 4RR
2-81 .110 .0921.088 .082 0.0236 1RR 2RR 3RR 4RR
3-81 .097 .125 .142 .112 NS 3RR 2RR 4RR 1RR
4-81 .044 .0421.0321.039 NS 1RR 2RR 4RR 3RR
5-81 .185 .1631.121 .173 NS 1RR 4RR 2RR 3RR
6-81 .117 .068 .076f.097 0.0215 IRR 4RR 3RR 2RR
7-81 .126 .084 .103 .159 0 .0018 4RR 1RR 3RR 2RR
8-81 .066 .075 .067 .091 NS 4R 2RR 3RR 1RR
NS = Not Significant (Kruskal-WalIis Test), p<0.05.
65
December, January, and February of 1980, and June and July
of 1981. Significant probabilities are given in Table XVI,
along with Student-Newman-Keuls grouping of similar
stations. In general, station 1RR showed relatively higher
O-PO 4-P concentrations in comparison with other stations
during preoperational studies.
Postoperational
Orthophosphate concentrations obtained in
postoperational studies are summarized in Table XVII. The
minimum orthophosphate concentration found in
postoperational studies was 0.030 mg/L at station 4RR during
the May 1983 survey. A maximum value of 0.342 mg/L was
obtained at station 4RR during the December 1982 survey.
This range of orthophosphate concentrations was similar
to earlier preoperational studies. Minimum concentrations
were observed during April and May, while maximum
concentrations were observed in December. This trend was
evident in both preoperational and postoperational studies.
Postoperational studies indicated that during three out of
eleven surveys orthophosphate concentrations were higher at
station 2RR than 1RR. During the other eight
postoperational surveys, orthophosphate concentrations were
higher at station 1RR than at 2RR, indicating that
discharged mill wastewaters were not noticably increasing
O-PO4-P concentrations at downstream sites.
66
Kruskal-Wallis analysis of variance between stations
yielded significant differences in January, February, March,
and August of 1983. Kruskal-Wallis probabilities and
Student-Newman-Keuls groupings of stations are summarized in
Table XVII.
Total Phosphate
Preoperational
Total phosphate concentrations obtained in
preoperational studies showed similar relationships between
orthophosphate concentrations. Minimum total phosphate
levels were observed in April of 1981 (0.124 mg/L at station
2RR), while a maximum value of 1.011 mg/L was determined at
station 1RR in December of 1980. Mean total phosphate
values are summarized in Table XVIII, along with summary
statistics. A significant difference between stations was
observed during the February, June, and July, 1981 surveys.
However, December 1980 and January 1981 surveys did not show
significant difference between stations, as did
orthophosphate levels during these same surveys.
Postoperational
Postoperational total phosphate data are summarized in
Table XIX. Values ranged from 0.103 mg/L in May of 1983 to
0.581 mg/L in December 1982. Kruskal-Wallis analysis of
variance yielded significant difference between stations in
October and November, 1982, and February and August, 1983.
67
TABLE XVII
POSTOPERATIONAL RED RIVER ORTHOPHOSPHATE PHOSPHORUS (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 .181 .211 .194 .203 NS 2RR 4RR 3RR IRR
11-82 .040.113.103y.11 7 NS 4RR 2RR 3RR 1RR
12-82 .304 .299 .239 .342 NS 4RR 1RR 2RR 3RR
1-83 .058J. 0 3 7 . 4 4 1 .089 0.0085 3RR 4RR 1RR 2RR
2-83 .058K.0881.083 .060 0.0264 2R 3RR 4RR 1RR
3-83 .129 .0371 .068 .049 0.0005 .RR.3RR 4RR 2RR
4-83 .0851.079 .073 .095 NS 4RR IRR 2RR 3RR
5-83 .035 .033 .031 .030 NS IRR 2RR 3RR 4RR
6-83 .089 .062 .066 .093 NS 4RR 1RR 3RR 2RR
7-83 .195 .170 .121 .120 NS ._R 2RR 3 RR 4RR
8-83 .0421 .0411 .045 .058 0.0464 A4RR 3RR RR,2RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
68
TABLE XVIII
PREOPERATIONAL RED RIVER TOTAL ACID HYDROLYZABLE PHOSPHATEPHOSPHORUS (mg/L) ; MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 .178 .199 .170 .198 NS 2RR 4RR 1RR 3RR
12-80 1.011 .806 .905 .795 NS 1RR 3RR 2RR 4RR
1-81 .155 .155 .142 .132 NS 2RR 1RR 3RR 4RR
2-81 .156 .157 .169 .176 0.0040 4RR 3RR 2RR 1RR
3-81 .163 .181 .184 .175 NS 3RR 2RR 4RR 1RR4-81 .131 .124 .132 .140 NS 4RR 3RR IRR 2RR
5-81 .350 .326 .252 .214 NS 1RR 2RR 3RR 4RR
6-81 .247 .194 .212 .239 0.0043 1RR 4RR 3RR 2R,
7-811 .209 .153 .201 .217 0.0433 4RR 1RR 3RR 2RR
8-81 .121 .136 .120 .151 NS 4RR 2RR 1RR 3RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
69
These results are comparable to postoperational
orthophosphate data. (See Table XVII.)
Total Organic Carbon
Preoperational
Total organic carbon (TOC) concentrations in the Red
River ranged from 3 mg/L to 18 mg/L during preoperational
studies. Minimum TOC concentrations occurred at upstream
stations (lRR and 2RR) during the January 1981 sampling
period. Maximum TOC concentrations were observed at
stations 1RR and 4RR during the March 1981 survey. The
entire preoperational data set for TOC has been summarized
in Table XX. Mean TOC concentrations (mg/L) are reported by
survey period and station from three replicate samples.
Table XX also shows Kruskal-Wallis analysis of variance
results and S-N-K groupings of stations. Although a
significant difference between stations was found by the
Kruskal-Wallis test for several preoperational surveys, it
appears that the precision of the data makes these
differences occur rather than any real differences of
environmental significance'.
Postoperational
Results from postoperational surveys are summarized in
Table XXI. No data were obtained in June, July, and August,
1983 due to carbon analyzer malfunction. TOC concentrations
ranged from 1 mg/L to 19 mg/L. Minimum TOC concentrations
70
TABLE XIX
POSTOPERATIONAL RED RIVER TOTAL ACID HYDROLYZABLE PHOSPHATEPHOSPHORUS (mg/L); MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 .217 .270 .235 .249 0.0003 2RR 4RR 3RR 1RR
11-82 .170 .236 .197 .158 0.0437 2RR 3RR 1RR 4RR
12-82 .349 .350 .581 .456 NS 3RR 4RR IRR 2RR
1-83 .180 .169 .153 .183 NS 4RR 1RR 2RR 3RR
2-83 .135 .147 .252 .147 0.0479 3RR 4RR 2RR 1RR
3-83 .264 .163 .251 .251 NS 1RR 3RR 4RR 2RR
4-83 .121 .103 .105 .109 NS 1RR 2RR 4RR 3RR
5-83 .090 .099 .103 .120 NS 4RR 3RR 2RR 1RR
6-83 .291 .299 .289 .329 NS 4RR 2RR 1RR 3RR
7-83 .264 .298 .291 .298 NS 4RR 3RR 2RR 1RR
8-83 .122 .113 .107 .103 0.0087 1RR 2RR 3RR 4RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
71
TABLE XX
PREOPERATIONAL RED RIVER TOTAL ORGANIC CARBON (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RRj3RR 4RR Wallis Grouping of Stations
11-80 4 3 7 6 0.0001 3RR 4RR1RR 2RR
12-80 10 9 10 12 0.0306 4RR 1RR 3RR 2RR
1-81 3 3 8 6 0.0001 3RR 4R 1RR 2RR
2-81 11 10 21 10 0.0170 3RR 1RR 4RR 2RR
3-81 18 17 17 18 NS 1RR 4RR 3RR 2RR
4-81 11 10 12 10 0.0244 3RR 1RR 2RR 4RR
5-81 13 13 12 12 NS 1RR 2RR 3RR 4RR
6-81 14 13 11 11 0.0002 1RR 2RR 3RR 4RR
7-81 11 11 12 12 0.0053 4RR 3RR 2RR 1RR
8-81 8 9 9 10 0.0193 4RR 2RR 3RR 1RR
Significant (Kruskal-Wallis Test), p<0.05.NS =o Not
72
occurred at stations 3RR and 4RR during the February 1983
survey period. Maximum TOC concentrations were found at
stations 1RR and 4RR during the November 1982 survey period.
In general, no obvious seasonal pattern was evident in the
TOC data. However, higher TOC concentrations were found
during periods of high flow in the Red River. (See Table
IV.)
Kruskal-Wallis analysis of variance results for post-
operational TOC data indicate significant difference between
stations for several surveys. Here again, these differences
are more a result of the precision of data rather than any
environmental significance.
Dissolved Organic Carbon
Preoperational
Dissolved organic carbon (DOC) data obtained in
preoperational surveys are summarized in Table XXII. DOC
concentrations ranged from 1 mg/L to 15 mg/L. A minimum
mean DOC concentration of 1 mg/L was observed at station 2RR
during the February 1981 survey. However, overall minimum
DOC concentrations were found at all Red River sampling
stations (IRR through 4RR) during the January 1981 survey
period. (See Table XXI.) Maximum DOC concentrations were
observed at stations 3RR and 4RR during the March 1981
survey. These observations of minimum and maximum DOC
concentrations follow a similar pattern with preoperational
73
TABLE XXI
POSTOPERATIONAL RED RIVER TOTAL ORGANIC CARBON (mg/L) ;MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 5 4 3 2 0.0202 1RR 2RR 3RR 4RR
11-82 18 16 16 19 0.0267 4RR 1RR 2RR 3RR
12-82 13 13 15 14 NS 3RR 4RR 1RR 2RR
1-83 8 11 8 7 0.0186 2RR JRR 3RR 4RR
2-83 7 5 1 1 0.0081 1RR 2RR 3RR4 R
3-83 6 8 6 6 NS 2RR 4RR 1RR 3RR
4-83 9 5 10 10 NS 4RR 3RR 1RR 2RR
5-83 12 14 11 15 0.0191 4RR 2RR 1RR 3RR
6-83 a
7-83 . .1108-83 . . . , 0
NS = Not Significant (Kruskal-Wallis Test), p<0.05;a = data was not analyzed due to carbon analyzer
malfunction,
74
TABLE XXII
PREOPERATIONAL RED RIVER DISSOLVED ORGANIC CARBON (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
Station
Kruskal- S-N-KSurvey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 3 3 3 2 NS 1RR 2RR 3RR 4RR
12-80 9 8 9 9 NS 4RR 3RR 1RR 2RR
1-81 2 2 3 3 NS 4RR 3RR 2RR 1RR
2-81 6 1 9 7 0.0001 3RR 4RR 1RR 2RjR
3-81 8 10 14 15 0.0006 4RR 3RR 2RR 1RR
4-81 6 5 5 5 NS 1RR 2RR 3RR 4RR
5-81 6 6 5 6 NS lRR 2RR 4RR 3RR
6-81 6 7 7 6 0.0080 3RR 2RR 4RR 1RR
7-81 10 10 9 9 NS 1RR 2RR 3RR 4RR
8-81 3 6 4 5 0.0001 2RR 4RR 3RR 1RR
Significant (Kruskal-Wallis Test), p<0.05.NS = Not
75
TOC minimum and maximum concentrations. Any significant
differences between stations can be attributed to the
precision of data rather than biological significance
between stations.
Postoperational
Postoperational DOC data are summarized in Table XXIII.
Mean DOC concentrations ranged from 1 mg/L at stations 3RR
and 4RR in February 1983, and at station 1RR in March 1983,
to 12 mg/L at stations 2RR and 4RR in May 1983. These
minimum/maximum values coincide fairly well with
postoperational TOC data. Again, DOC data were not obtained
for the June through August 1983 surveys due to carbon
analyzer malfunction. Table XXIII lists the results of
Kruskal-Wallis analysis of variance between stations and
S-N-K groupings of stations. The February 1983 analysis
yielded a significant difference between upstream and
downstream stations. Upstream stations showed higher DOC
concentrations than downstream stations. There was no
discernible relationship between other significantly
di-fferent survey periods. Therefore, it appears that these
differences are a result of the precision of data rather
than any environmental detriment.
76
TABLE XXIII
POSTOPERATIONAL RED RIVER DISSOLVED ORGANIC CARBON (mg/L);MEAN VALUES OF THREE REPLICATES; RESULTS OFKRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEEN
STATIONS AND STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 4 3 3 2 0.0001 1RR 2RR 3RR 4RR
11-82 6 4 2 5 0.0004 IRR 4RR 2RR 3RR
12-82 6 5 7 6 NS 3RR 1RR 4RR 2RR
1-83 6 5 6: 7 NS 4RR 3RR 1RR 2RR
2-83 5 4 1 1 0.0081 1RR 2RR 3RR 4RR
3-83 1 3 4 2 0.0251 3RR 2RR 4RR 1RR
4-83 7 4 8 7 NS 3RR 4RR 1RR 2RR
5-83 9 12 9 12 0.0038 2RR 4R 1RR 3RR
6-83 a
7-831 ..
8-83j. *
NS = Not Significant (Kruskal-Wallis Test), p<0.05;a = data was not analyzed due to carbon analyzer
malfunction.
77
Biochemical Oxygen Demand
Preoperational
Biochemical oxygen demand (BOD5) was analyzed for each
Red River replicate sample in both preoperational and
postoperational aquatic studies. Mean preoperational BOD5
values are presented for, each station in Table XXIV.
Results of Kruskal-Wallis analysis of variance between
stations, as well as S-N-K groupings of stations, appear in
Table XXIV, also. A minimum BOD 5 concentration of 0.3 mg/L
occurred at station 4RR in November 1980. A maximum BODE
concentration of 7.9 mg/L occurred at station 4RR in
February 1981. No apparent seasonal relationship between
BOD5 concentration and any other physical factor was evident
from these analyses. (See Table XXIV.) Kruskal-Wallis
analysis of variance results indicate statistical
significant difference between stations in February, April,
June, and August, 1981. However, no clear distinction
exists between upstream and downstream stations during these
four surveys. Therefore, these differences appear to be a
result of data precision rather than any environmental
difference between stations. (See Table XXIV.)
78
TABLE XXIV
PREOPERATIONAL RED RIVER FIVE-DAY BIOCHEMICAL OXYGEN DEMAND(mg/L); MEAN VALUES OF THREE REPLICATES; RESULTS OF
KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 1.0 1.8 0.9 0.3
12-80 5.2 4.8 4.6 4.4 NS IRR 2RR 3RR 4RR
1-81 4.4 4.5 4.4 4.1 NS 2RR 3RR 1RR 4RR
2-81 4.0 3.1 3.5 7.9 0.0223 4RR 1RR 3RR 2RR
3-81 2.6 2.3 2.3 2.2 NS lRR 2RR 3RR 4RR
4-81 4.9 4.1 4.0 3.8 0.0156 1RR 2RR 3RR 4RR
5-81 1.8 4.7 1.4 1.6 NS 1RR 2RR 4RR 3RR
6-81 1.3 1.2 2.0 1.2 0.3770 3RR 1RR 4RR 2RR
7-81 2.8 2.8 2.5 3.2 NS 4RR 2RR 1RR 3RR
8-81 4.0 3.1 2.9 3.4 0.0444 1RR 4RR 2RW 3RR
NS = Not Significani (Kruskal-Wallis Test), p<0.05;* 1 Replicate;** 2 Replicates.
79
Postoperational
Postoperational BOD5 data are summarized in Table XXV.
Mean B0D5 concentrations ranged from 0.5 mg/L at station 2RR
in February 1983 to 6.7 mg/L at stations 1RR and 2RR in
August 1983. Also displaiayed in Table XXV are
Kruskal-Wallis analysis of variance between stations results
and S-N-K groupings of stations. These summary statistics
indicate a significant difference (p 0.05) between upstream
and downstream stations in November 1982, February 1983 and
July 1983. In the case of the November 1982 and February
1983 surveys, downstream stations had higher BOD5
concentrations than upstream stations. The relationship was
reversed in the July 1983 survey with upstream stations
having higher BOD5 concentrations than downstream stations.
(See Table XXV.)
True Color
Preoperational
Mean true color values (CU) of three replicates are
given by survey data for each station in Table XXVI. True
color in the Red River ranged from 30 color units (CU) to
160 CU. A minimum value of 30 CU was observed at all
stations in August 1981, while the maximum value of 160 CU
was observed at all stations in December 1980. Results of
80
TABLE XXV
POSTOPERATIONAL RED RIVER FIVE-DAY BIOCHEMICAL OXYGEN(mg/L); MEAN VALUES OF THREE REPLICATES; RESULTS OF
KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 2.3 2.3 2.2 2.5 NS 4RR 1RR 2RR 3RR
11-82 2.7 2.7 3.2 3.2 0.0057 4RR 3RR 2RR 1RR
12-82 2.5 3.4 3.1 3.0 NS 2RR 3RR 4RR 1RR
1-83 0.8 0.9 1.4 0.9 NS 3RR 4RR 2RR 1RR
2-83 1.0 0.5 1.2 1.2 0.0404 3RR 4RR 1RR 2RR
3-83 2.1 2.5 2.0 2.1 NS 2RR 1RR 4RR 3RR
4-83 1.9 1.7 1.6 1.5 NS 1RR 2RR 3RR 4
5-83 2.6 2.4 2.2 2.3 NS 1RR 2RR 4RR 3RR
6-83 1.8 1.6 1.5 1.5 NS IRR 2RR 4RR 3RR
7-83 1.9 1.8 1.7 1.3 0.001 1RR 2RR 3RR 4RR
8-83 6.7 6.7 6.1 6.2 NS IRR 2RR 3RR 4RR
Significant (Kruskal-wallis Test) , p 5.NS =. Not
81
TABLE XXVI
PREOPERATIONAL RED RIVER TRUE COLOR (COLOR UNITS) BY VISUALMETHOD; MEAN VALUES OF THREE REPLICATES; RESULTS OF
KRUSKAL-WALLIS ANALYSIS OF VARIANCE BETWEENSTATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 40 40 40 40 NS 1RR 2RR 3RR 4RR
12-80 160 160 160 160 NS IRR 2RR 3RR 4RR
1-81 47 60 53 53 NS 2RR 4RR 3RR 1RR
2-81 40 40 40 40 NS 1RR 2RR 3RR 4RR
3-81 80 80 80 80 NS 1RR 2RR 3RR 4RR
4-81 40 50 50 50 NS 4RR 2RR 3RR 1RR
5-81 100 100 100 92 NS 2RR 3RR 4R
6-81 83 83 83 92 NS 4RR 2RR 3RR IRR
7-81 75 83 75 75 NS 2RR 1RR 3RR 4RR
8-81 30 30 30 30 NS 1RR 2RR 3RR 4RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
82
Kruskal-Wallis analysis of variance showed no difference
between stations during any preoperational survey period.
(See Table XXVI.)
Postoperational
Table XXVII summarizes mean true color values by survey
period for each station. Values ranged from a minimum of 23
CU at stations 3RR and 4RR in August 1983 to a maximum of
125 CU at all stations in December 1982. Kruskal-Wallis
analysis of variance between stations results show a
significant difference (p<O.05) between upstream (lRR and
2RR) and downstream stations (3RR and 4RR) for the July 1983
survey. However, this difference does not appear to be
environmentally significant, based on true color values from
other survey periods. (See Table XXVII.) No significant
difference between station 1RR and 2RR was observed during
any single postoperational survey, indicating that
discharged mill wastewaters were not affecting true color
downstream from station 1RR.
Apparent Color
Preoperational
Apparent color values in the Red River ranged from 60
color units at stations 1RR in August 1981 to 480 color
units at all stations in December 1980. Table XXVIII
summarizes mean true color values of three replicates by
survey period for each station and shows the results of
83
TABLE XXVII
POSTOPERATIONAL RED RIVER TRUE COLOR (COLOR UNITS) BYVISUAL METHOD; MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 60 60 60 60 NS 1RR 2RR 3RR 4RR
11-82 48 50 50 50 NS 4RR 2RR 3RR 1RR
12-82 125 125 125 125 NS 1RR 2RR 3RR 4RR
1-83 63 70 70 63 NS 2RR 3RR 1RR 4RR
2-83 90 90 90 90 NS 1RR 2RR 3RR 4RR
3-83 80 70 70 70 NS 1RR 2RR 3RR 4RR
4-83 47 45 52 45 NS 3RR 4RR 1RR 2RR
5-83 48 48 45 48 NS 1RR 2RR 4RR 3RR
6-83 58 53 55 55 NS 1RR 3RR 4RR 2RR
7-83 55 53 50 50 0.0061 IRR 2RR 3RR 4RR
8-83 27 25 23 23 NS 1RR 2RR 3RR 4RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.
84
TABLE XXVIII
PREOPERATIONAL RED RIVER APPARENT COLOR (COLOR UNITS)BY VISUAL METHOD; MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 140 127 120 120 0.0086 IRR 2RR 3RR 4RR
12-80 480 480 480 480 NS 1RR 2RR 3RR 4RR
1-81 100 107 110 107 NS 3RR 4RR 2RR 1RR
2-81 80 90 90 90 NS 4RR 2RR 3RR IRR
3-81 140 140 140 140 NS 1RR 2RR 3RR 4RR
4-81 103 100 107 100 NS 3RR 1RR 2RR 4RR
5-81 275 275 275 275 NS 1RR 2RR 3RR 4RR
6-81 200 200 200 200 NS 1RR 2RR 3RR 4RR
7-81 192 1183 175 175 NS 1RR 2RR 3RR 4RR
8-81 60 70 67 67 NS 2RR 4RR 3RR IRR
NS = Not Significant (Kruskal-Wallis Test), p(0.05.
85
Kruskal-Wallis analysis of variance between stations and
S-N-K groupings of stations. A statistical difference
between upstream and downstream stations was observed in
November, 1980. However, this difference can only be
attributed to variations in natural river conditions, since
mill wastewaters were not being discharged during
preoperational studies.
Postoperational
Apparent color values ranged from 70 color units at
stations 1RR, 3RR, and 4RR in August 1983 to 875 CU at all
stations in December 1982. Mean values of apparent color
are summarized by survey month for each station in Table
XXIX. In addition, Table XXIX shows the results of
Kruskal-Wallis analysis of variance between stations and
S-N-K groupings of stations. There was no significant
difference shown between stations for any postoperational
survey, with the exception of July 1983. During the July
1983 survey, a significant statistical difference was shown
between upstream and downstream stations (p<0.05). However,
based on cummulative analysis-of the entire postoperational
data set, no environmental significance can be attributed to
calculated between station differences. (See Table XXIX.)
86
TABLE XXIX
POSTOPERATIONAL RED RIVER APPARENT COLOR (COLOR UNITS) BYVISUAL METHOD; MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
Station-K u Kruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
10-82 160 147 153 160 NS 1RR 4RR 3RR 2RR
11-82 225 217 225 225 NS 1RR 3RR 4RR 2RR
12-82 875 875 875 875 NS IRR 2RR 3RR 4RR
1-83 150 150 150 150 NS 1RR 2RR 3RR 4RR
2-83 225 225 225 225 NS 1R 2RR 3RR 4RR
3-83 450 450 450 450 NS
4-83 150 150 150 150 NS .RR 2RR 3RR 4RR
5-83 100 100 100 100 NS 1RR 2RR 3RR 4RR
6-83 250 250 250 250 NS 1RR 2RR 3RR 4RR
7-83 150 183 183 175 0.0073 2RR 3RR 4RR JE
8-83 70 73 70 70 NS 1RR 2RR 3RR 4RR
L4S1 -/YLY1 1 e ,LW= tNot Sign ficant (Kruskcal-wal sTs) 5 .
87
TABLE XXX
PREOPERATIONAL RED RIVER ADENOSINE TRIPHOSHATE(NANOGRAMS/L) ; MEAN VALUES OF THREE REPLICATES
RESULTS OF KRUSKAL-WALLIS ANALYSIS OFVARIANCE BETWEEN STATIONS AND
STUDENT-NEWMAN-KEULSMULTIPLE RANGE TESTS
StationKruskal- S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping of Stations
11-80 1643 1558 1699 1384 0.0096 1RR 3RR 2RR 4RR
12-80 1221 1137 1150 932 0.0316 1RR 3RR 2RR 4RR
1-81 807:3 1028 8947 8867 0.0227 2RR 3RR 4RR 1RR
2-81 1311 1985 1736 2393 NS 4RR 2RR 3RR 1RR
3-81 6427 5220 6607 4780 NS 3RR 1RR 2RR 4RR
4-81 4807 4573 5293 3980 NS 3RR 1RR 2RR 4RR
5-81 3152 3367 3257 3267 NS 4RR 2RR 3RR 1RR
6-81 475 485 470 213 NS IRR 3RR 2RR 4RR
7-81 1236 1425 1276 591 0.0002 2RR 3RR IRR _4]I
8-81 2395 2217 2493 2923 0.0002 R.R. 3RR, 1RR 2RR
NS = Not Significant (Kruskal-WalIis Test), p<0.05.
88
Adenosine Triphosphate (ATP)
Preoperational
Adenosine triphosphate (ATP) concentrations ranged from
213 ng/L at station 4RR in June 1981, to 10287 ng/L at
station 2RR in January 1981. Mean ATP concentrations for
three replicates are provided in Table XXX by survey month
for each station. Also, Kruskal-Wallis analysis of variance
results and S-N-K groupings of stations provide an
indication of between station variances. During the
November and December 1980 and January, July, and August
1981 surveys, statistical difference (p<0.05) was shown
between at least one upstream and downstream sampling
stations. It is, however, difficult to interpret these
differences as environmentally significant. It would seem
that these variations resulted more from data precision than
any environmental factor.
Postoperational
ATP results from postoperational surveys are summarized
in Table XXXI. Mean ATP concentration of three replicates
is given by survey month for each sampling station. ATP
concentrations ringed from 30 ng/L at station 3RR in June
1983 to 28845 ng/L at station 1RR in August 1983. Table
XXXI also lists the results of Kruskal-Wallis analysis of
variance between stations and S-N-K groupings of stations.
89
TABLE XXXI
POSTOPERATIONAL RED RIVER ADENOSINE TRIPHOSPHATE(NANOGRAMS/L); MEAN VALUES OF THREE REPLICATES;
RESULTS OF KRUSKAL-WALLIS ANALYSIS OF VARIANCEBETWEEN STATIONS AND STUDENT-NEWMAN-KEULS
MULTIPLE RANGE TESTS
StationKruskal S-N-K
Survey 1RR 2RR 3RR 4RR Wallis Grouping ofStations
10-82* 5850 5500 4770 313
11-82* 6767 6290 5720 312
12-82* 2100 3710 2760 2385 .
1-83 1371 114 135 12 0.0010 IRR 3RR 4RR 2RR
2-83 264 278 281 28 0.0379 1RR 3RR 4RR 2RR
3-83 109 99t 94 10 NS 1RR 4RR 2RR 3RR
4-83 272 246 215 21 NS 1RR 2RR 3RR 4RR
5-83 3173 3595 3610 382 NS 4RR 2RR 3RR lRR
6-83 95 81, 30 101 NS 1RR 2RR 4RR 3RR
7-83 569 565 551 556 NS 2RR 1RR 4RR 3RR
8-83 28845 20660 19258 24136 0.0109 1RR 4RR 2RR 3RR
NS = Not Significant (Kruskal-Wallis Test), p<0.05.** 2 Replicates.
90
It was not possible to calculate analysis of variance or
S-N-K groupings of stations for the October, November, and
December, 1982 survey periods since only two replicates were
analyzed due to difficulties encountered during analyses.
Statistical significant difference (p<0.05) was shown
between stations during January, February and August, 1983.
In all three instances, there was significant difference (p<
0.05) between upstream and downstream stations.
Light
Natural light impinging on the water surface is
composed of many wavelengths. It impinges on the water
surface from many angles and is deflected, as well as
absorbed, by materials that alter the composition of the
downward light path (1). As described previously, the
vertical absorption coefficient (k) quantifies the quenching
of light passing through the water column. The coefficient
of extinction (n) has also been used to describe light
attenuation, and is defined as the logarithm to the base 10
in the formula rather than a natural logarithm (3). Since
absorption accurately refers to the diminuation of light
energy with depth by transformation to heat (2), the
coefficient of absorption was calculated from light
measurements taken during in situ primary productivity
experiments.
91
TABLE XXXII
TOTAL LIGHT ENERGY MEASURED ON THE RED RIVERDURING IN SITU PRIMARY PRODUCTIVITY
EXPERIMENTS (1y'hr~l)
SURVEY PREOPERATIONAL POSTOPERATIONAL
NOV 80
NOV 82 34
FEB 81 18
FEB 83 16
MAY 81 37
MAY 83 55
AUG 81 27
AUG 83 50
92
Preoperational
The total amount of light energy measured on the Red
River during in situ primary productivity experiments, in
units of Langleys per hour, is summarized in Table XXXII.
Both temporal and seasonal variation in available light
energy are shown for each primary productivity sampling
survey. These measurements were obtained with the Belfort
pyranograph. Available light energy ranged from 18 to 37
ly.hr~1 during preoperational in situ primary productivity
experiments.
Results of light measurements taken at the water
surface and at a depth of 1 meter (with the Protomatic
submarine photometer) are listed in Table XXXIII. In
addition, the absorption coefficient (k) was calculated for
each sampling station and is shown in Table XXXIII.
Absorption coefficients varied seasonally and spatially from
2.22 at station 1RR in February 1981 to 16.71 at station IRR
in November 1980. Although the minimum absorption
coefficient (2.22 - station 1RR) was found during the
February 1981 survey, other preoperational k values were
consistently low at all four stations in August, 1981.
In general, absorption coefficients were highest during
winter months and lowest during summer months. (See Table
XXXIII.) Also, there appears to be a proportional
relationship between absorption coefficients and river flows
93
TABLE XXXIII
PREOPERATIONAL RED RIVER LIGHT DATA FOR THE PERIOD NOVEMBER1980 THROUGH AUGUST 1981 DURING IN SITU PRODUCTIVITY
EXPERIMENTS; SURFACE LIGHT (ft-c); LIGHT AT1 METER (ft-c); VERTICAL ABSORPTION
COEFFICIENT (k)
Survey Light at Light at AbsorptionSurface 1 Meter Coefficient
(k)
Nov 80
1RR2RR3RR4RR
Feb 81
1RR2RR3RR4RR
May 81
1RR2RR3RR4RR
Aug 81
1RR2RR3RR4RR
1800600
2400130
450500250
1800250020001700
1500+680370110
0.00010.01010.07010.1001
49.000150.0001
0.2501
0.03010.03010.04010.0101
47.000114.000111.0001
2.6001
16.7111.0210.447.17
2.222.306.91
11.0011.3310.8212.03
3.463.883.523.74
4
94
(i.e. k values were highest when river flows were also
high). (See Table III.)
Postoperational
Total available light energy measured on the Red River
during postoperational inaLtu primary productivity
experiments is also shown in Table XXXII. Light
availability ranged from 16 ly.hr-I during the February 1983
survey to 55 ly.hr~I during the May 1983 survey.
Light measurements taken at the surface and at a depth
of 1 meter (with the Protomatic submarine photometer) are
shown in Table XXXIV, along with vertical absorption
coefficients for each sampling station during
postoperational surveys. Absorption coefficients ranged
from 3.48 at statiin 3RR during the August 1983 survey to
11.72 at station 2RR during the November 1982 survey.
Again, higher absorption coefficients were found during
winter months when river flows were also high than during
summer months when flows were considerably lower. (See
Tables III and IV.)
In order to evaluate.the light attenuation capacity of.
the IP wastewaters in the Red River, a comparison of
absorption coefficients found during preoperational studies
with those found during postoperational studies can be made.
Judging from k values shown in Table XXXIII and Table XXXIV,
95
TABLE XXXIV
POSTOPERATIONAL RED RIVER LIGHT DATA FOR THE PERIODNOVEMBER 1982 THROUGH AUGUST 1983 DURING IN SITUPRODUCTIVITY EXPERIMENTS; SURFACE LIGHT (ft-c);
LIGHT AT 1 METER (ft-c); VERTICAL ABSORPTIONCOEFFICIENT (k)
Survey Light at Light at AbsorptionSurface 1 Meter Coefficient
(k)
240037004000740
1500110010002000
6000410050004800
5600450022002400
3.60010.03010.07010.0201
0.15012.00011.5001
10.0001
3.00012.5001
15.000150.0001
110.000091.000168.000145.0001
6.5011.7210.9510.51
9.216.316.505.30
7.607.405.814.56
3.933.903.483.98
Nov 82
1RR2RR3 RR4RR
Feb 83
1RR2RR3RR4RR
May 83
1RR2RR3RR4RR
Aug 83
1RR2RR3RR4RR
96
there appears to be no appreciable differences between
stations during parallel survey months (i.e. August 1981 to
August 1983), with the exception of the February surveys.
Differences in light availability and river flows between
February 1981 and February 1983 can account for the relative
difference in k values from preoperational to
postoperational surveys. (See Tables XXXII, III, and IV.)
pH
Preoperational
A summary of pH values for Red River sampling stations
1RR through 4RR is provided in Table XXXV. pH values ranged
from 7.0 at stations 2RR, 3RR, and 4RR in July 1981 to 8.2
at stations 2RR and 3RR in April 1981. These values are
within the allowable state of Louisiana standards (6.0 -
8.5) for the Red River in the vicinity of the IP Mill.
(Louisiana Water Quality Standards, 1977, Baton Rouge:
Louisiana Environmental Affairs Commission).
Postoperational
A summary of pH data obtained during postoperational
studies is provided in Table XXXVI. A minimum value of 6.6
was found at stations 1RR, 2RR, and 3RR during the June 1983
survey. The maximum value of 8.3 occurred at station 3RR in
October 1982. These values range within the acceptable
limit (6.0 - 8.5). IP mill wastewaters discharged into the
97
Red River had no noticable effect on the pH of receiving
waters. (See Tables XXXV and XXXVI.)
Correlation of Physical/Chemical ParametersWith Phytoplankton Primary Productivity
To provide an understanding of how selected physical,
chemical, and biological parameters were related to
phytoplankton productivity rates, Spearman's rank
correlation coefficients were calculated for postoperational
studies. Spearman's rank correlation is a non-parametric
test of relationships used to establish whether or not two
variables are correlated. Mean values of each physical,
chemical, and biological parameters were tested against mean
phytoplankton primary productivity rates for each
postoperational survey. Results of Spearman's rank
correlation indicated that Total Organic Carbon (TOC),
Dissolved Organic Carbon (DOC), and Biochemical Oxygen
Demand (3OD5 ) were positively correlated with phytoplankton
productivity rates (rs values of 0.731 (n=12), 0.691 (n=12),
and 0.526 (n=16), respectively). Apparent Color was
negatively correlated with productivity rates (rs value of
-0.547 (n=16)). Other physical, chemical, and biological
parameters analyzed in this study were not correlated with
phytoplankton primary productivity rates.
98
TABLE XXXV
PREOPERATIONAL RED RIVER pH VALUES; SINGLE MEASUREMENTSDETERMINED IN THE FIELD WITH A PORTABLE pH METER
Station
Survey 1RR 2RR 3RR
11-80 7.9 7.9 7.9 7.6
12-80 7.3 7.2 7.2 7.3
1-81 7.9 7.9 7.6 7.9
2-81 7.8 7.9 7.8 7.8
3-81 7.4 7.3 7.3 7.4
4-81 8.0 8.2 8.2 8.0
5-81 7.0 7.1 7.1 7.1
6-81 7.2 7.9 7.0 7.1
7-81 7.1 7.0 7.0 7.0
8-81 8.1 8.1 8.1 8.1
99'
TABLE XXXVI
POSTOPERATIONAL RED RIVER pH VALUES; SINGLE MEASUREMENTSDETERMINED IN THE FIELD WITH A PORTABLE pH METER
Station
Survey 1RR 2RR 3RR 4RR
10-82 7.7 7.9 8.3 8.2
11-82 7.9 7.8 7.8 7.8
12-82 7.5 7.4 7.4 7.5
1-83 7.4 7.2 7.2 7.3
2-83 7.0 7.0 7.2 7.0
3-83 7.4 7.4 7.4 7.5
4-83 7.9 7.9 7.9 7.9
5-83 6.9 6.5 6.9 7.1
6-83 6.6 6.6 6.6 7.2
7-83 7.2 7.2 7.2 6.8
8-83 7.8 7.4 7.8 7.7
CHAPTER BIBLIOGRAPHY
1. Cole, G. E. Textbook of Limnology, St. Louis, C. V.Mosby Company, 1979.
2. Westlake, D. F. 1965. Some problems in themeasurement of radiation underwater: A review.Photochem. Photobiol. 4: 849-868.
3. Wetzel, R. G. Limnology, Philadelphia, W. B.Saunders Company, 1975.
100
CHAPTER IV
CONCLUSIONS
This study sought to accomplish two principally-
related objectives. The first objective was to assess the
impact of wastewaters from International Paper Company's
Mansfield paper mill on in situ primary productivity in the
Red River. A second objective was to compare previously
collected preoperational in situ primary productivity values
with postoperational values.
To accomplish the first objective, statistical
comparisons were made between productivity rates at an
upstream reference station above the wastewater discharge
site (IRR) and productivity rates at downstream experimental
stations below the wastewater discharge sites (2RR, 3RR,
4RR). These comparisons were determined during two distinct
phases of study design. Preoperational primary productivity
data were collected on a quarterly basis from November 1980
through August 1981, prior to mill start-up and wastewater
discharges into the Red River. Preoperational data were
used to establish a baseline of river conditions prior to
the discharge of paper mill wastewaters.
International Paper Company began limited operations at
the Mansfield mill in November 1981. Approximately one year
later in October 1982, parallel postoperational primary
101
102
productivity studies were initiated on the Red River and
continued through August 1983.
Results of the preoperational upstream-downstream
comparisons showed no significant differences (p<0.05) for
both February and August 1981 quarterly surveys. However,
both November 1980 and May 1981 quarterly surveys showed
some statistically significant between-station differences
for primary productivity. These differences were attributed
to normal river fluctuations and differences in local light
regimes, since no wastewaters were being discharged during
preoperational studies.
Upstream-downstream in situ primary productivity
comparisons made during postoperational studies indicate
statistically significant between-station differences in
primary productivity for the November 1982 and February and
August 1983 surveys. However, the May 1983 results were not
statistically significant (pl0.05). To interpret these
results, it was necessary to determine whether station 1RR
was statistically significantly different from downstream
experimental stations. This determination indicated that
primary productivity rates at station 1RR were not
statistically significantly greater than downstream stations
during the different surveys. Lower productivity rates
would be expected downstream from the wastewater discharge
site if mill wastes were negatively impacting planktonic
production, due to increased light attenuation in the water
103
column. This relationship was not shown by either primary
productivity values or light measurements obtained
throughout the study.
The second objective of this study was to compare the
postoperational data on Ln situ primary productivity with
preoperational data. Although no statistical analyses were
used to make this comparison, graphical analysis of
productivity values showed no discernible differences
between surveys conducted during similar seasonal periods.
Results of other physical/chemical water quality parameters
analyzed were in agreement with primary productivity
results.
Graphical comparisons of primary productivity rates
between upstream-downstream reference revealed a trend of
increased productivity rates from upstream to downstream
sampling stations. This trend was evident in both
preoperational and postoperational studies. Therefore, it
was not possible to link higher downstream productivity
rates with paper mill discharges. Although seasonal and
spatial differences were shown throughout the entire study
period, no detrimental effects on Red River water quality
due to wastewater discharges were observed. Louisiana water
quality standards also support this conclusion.
Water quality standards for the Red River in the
vicinity of the IP mill near Mansfield dictate the following
limitations:
104
1. DO : 5.0 mg/L
2. pH : 6.0 - 8.5
3. TDS : 780 mg/L
4. cl : 184 mg/L
5. SO4 : 112 mg/L.
pH was the only regulated parameter analyzed in this study.
No violations of this parameter were observed for any
preoperational or postoperational survey.
In summary, the following conclusions were reached
regarding the effects of pulp and paper mill wastewaters on
phytoplankton primary productivity in the Red River.
1. No environmentally significant differences in
upstream-downstream in situ primary productivity
rates were directly attributable to discharged
mill wastewaters.
2. Preoperational-postoperational in situ primary
productivity comparisons showed similar seasonal
trends.
3. A general trend of increasing primary productivity
rates from upstream to downstream locations was
observed in both'preoperational and postopertional
studies.
4. Physical/chemical water quality parameters varied
seasonally, but showed similar preoperational and
postoperational values.
105
5. Total Organic Carbon (TOC), Dissolved Organic
Carbon (DOC), and Biochemical Oxygen Demand (BOD 5 )
were positively correlated with postoperational
phytoplankton primary productivity rates. Apparent
color was negatively correlated with productivity
rates.
BIBLIOGRAPHY
Books
Cole, G. E., Textbook Lf Limnology, St. Louis, C. V.
Mosby Company, 1979.
Gotterman, H. T., Physiological LxJi gy., New York,Elsevier Scientific Publishing Co., 1975.
Higham, R. R. A., A Handbook _uf Papermaking, OxfordUniversity Press, London, 1968.
Saltman, David, Paper Basics, New York, Van NostrandReinhold Company, 1978.
SAS Institute, Inc., t User's Guide: Basics, 1982Edition, Cary, N. C.: SAS Institute, Inc.,923 pp.
Standard Methods for t_h._Examination of Water and
Wastewater, 14th Ed. APHA-AWWA-WPCF, AmericanPublic Health Association, 1975.
Standard Methods Lr. th. Examination Qf. Water an
Wastewater, 15th ed., APHA-AWWA-WPCF, AmericanPublic Health Association, 1980.
Vollenweider, R. A., A Manual on Methods for MeasuringPrimary Production in Aquatic Environments, 2nd ed.,London, Blackwell, 1974.
Wetzel, R. G., Limnology, Philadelphia, W. B. SaundersCompany, 1975.
Zar, J. E., Biostatistical Analysis, Englewood Cliffs,N. J., Prentice-Hall, Inc., 1974.
Journals
Bulleid, N. C., 1978, An improved method for theextraction of adenosine triphosphate from marine
sediment and seawater, Limnology and Oceanography,23: 174-178.
106
107
Cooley, J. M., 1977, Filtering rate performance of
Daphnia Retrocurva in pulp mill effluent.
2. Fiah. Res. Bfd. La.. 34: 863-868.
Holm-Hansen, 0. and R. Booth, 1966, The measurementof ATP in the ocean and its ecological significance,Limnol. n Qceanoar., 11: 510-519.
Johnson, M. G., 1977, Caloric changes along pulp and
paper mill effluent plumes, 2. Fish. Res. Bd. Can.34: 784-790.
Kelso, J. R. M., 1977, Density, distribution, andmovement of Nipigon Bay fishes in relation to a
pulp and paper mill effluent, 2. Fish. Res. .Bd.Can., 34: 879-885.
Minns, C. K., 1977, Analysis of a pulp and paper millplume, J. Fish Res. Bd. Can., 34: 776.
Moore, J. E. and R. J. Love, 1977, Effect of pulp andpaper mill effluent on the productivity of
periphyton and phytoplankton, J. Fish. Res. Bd.Can. 34: 856.
Rainville, R. P., B. J. Copeland, and W. T. McKean,
1975, Toxicity of Kraft mill wastes to anestuarine phytoplankter, J. Water Poll. Cont.Fed., 47: 487-503.
Schindler, P. W., R. V. Schmidt, and R. A. Reid,
1972, Acidification and bubbling as an alternative to
filtjition in determining phytoplankton production by
the C method, 2. Fish. Res. Board CLn. 29: 1627-1631.
Sibert, J. and R. R. Parker, 1973, Effect of pulp milleffluent on dissolved oxygen in a stratifiedestuary, II Numerical Model, Water Res. 7: 515-523.
Steeman-Niels5, E., 1952, The use of radioactivecarbon ( C) for measuring organic productionin the sea, J. Cons. Internat. Explor. Mer. 18:117-140.
Stockner, J. G. and David D. Cliff, 1976, Effects of
pulpmill effluent on phytoplankton production in
coastal marine waters of British Columbia, 2. Fish.
Res. Bd. Can. 33: 2433-2422.
108
Strickland, J. D. H, 1960, Measuring the productionof marine phytoplankton. Bull. Fish. Res. Bd.,Canada, 122, 172 pp.
TaIling, J. F., 1957, Photosynthetic characteristicsof some freshwater plankton diatoms in relationto underwater radiation. .ew.i Phyol., 56: 29-50.
Westlake, D. F., 1965, Some problems in the measurementof radiation underwater: A review, Photochem.Photobio., 4: 849-868.
Unpublished Materials
Engineering Science, Inc., 1979, Environmentalassessment for the IPG-1 containerboard complex,Desoto Parish, Louisiana, Final Report toInternational Paper Company, Mansfield, Louisiana.
Hutchins, F. E., The Toxicity of Pulp and Paper MillEffluent: A Literature Review, EPA-600/3-79-013 Environmental Research Laboratory, Corvallis,OR, 1979.
Preoperational Aquatic Studies at the Mansfield Mills,Volume 2: Baseline Report, May 1982, Institute ofApplied Sciences, North Texas State University,Denton, Texas.
United States Geological Survey, 1978-1981, Waterresources data for Louisiana Vol. I, Central andNorthern Louisiana, Water years 1978, 1979, 1980,and 1981, Water Resources Division, U. S. G. S.,Jonesboro, LA.