United States
Environmental Protection
Aaencv
Robert S. Kerr Envlromwat*! tcxarch EPA-600/2-79-180
   and Development
Development of a
Biological Simulation
Monitor for Joint
Municipal/Industrial
Treatment Systems

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                RESEARCH REPORTING SERIES

Research reports of the Office of Research and Development, U.S. Environmental
Protection Agency, have been grouped into nine series. These nine broad cate-
gories were established to facilitate further development and application of en-
vironmental technology.  Elimination of traditional grouping was consciously
planned to foster technology transfer and a maximum interface in related fields.
The nine series are:

      1.  Environmental Health Effects Research
      2.  Environmental Protection Technology
      3.  Ecological Research
      4.  Environmental Monitoring
      5.  Socioeconomic Environmental Studies
      6.  Scientific and Technical Assessment Reports (STAR)
      7.  Interagency Energy-Environment Research and Development
      8.  "Special" Reports
      9.  Miscellaneous Reports

This report has been assigned to the ENVIRONMENTAL PROTECTION TECH-
NOLOGY series. This series describes research performed to develop and dem-
onstrate instrumentation, equipment, and methodology to repair or prevent en-
vironmental degradation from point and non-point sources of pollution. This work
provides the new or improved technology required for the control and treatment
of pollution-sources to meet environmental quality standards.
 This document is available to the public through the National Technical Informa-
 tion Service, Springfield, Virginia 22161.

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                                               EPA-600/2-79-180
                                               August 1979
     DEVELOPMENT OF A BIOLOGICAL SIMULATION
     MONITOR FOR JOINT MUNICIPAL/INDUSTRIAL
                TREATMENT SYSTEMS
                        by

      Ann N. Clarke, W. Wesley Eckenfelder,
                and John A. Roth
   Center for Environment Quality Management
              Vanderbilt University
           Nashville, Tennessee  37235
               Grant No.  R-803740
                 Project Officer

                 Fred M. Pfeffer
            Source Management Branch
Robert S. Kerr Environmental  Research Laboratory
              Ada, Oklahoma  74820
ROBERT S. KERR ENVIRONMENTAL RESEARCH LABORATORY
       OFFICE OF RESEARCH AND DEVELOPMENT
      U.S. ENVIRONMENTAL PROTECTION AGENCY
             ADA, OKLAHOMA  74820

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                                DISCLAIMER
    This report has been reviewed by the Robert S. Kerr Environmental
Research Laboratory, U.S. Environmental Protection Agency, and approved for
publication.  Approval does not signify that the contents necessarily re-
flect the views and policies of the U.S. Environmental Protection Agency,
nor does mention of trade names or commercial products constitute endorse-
ment or recommendation for use.
                                    n

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                            FOREWORD
     The Environmental Protection Agency was established to
coordinate administration of the major Federal programs designed
to protect the quality of our environment.

     An important part of the Agency's effort involves the search
for information about environmental problems, management tech-
niques and new technologies through which optimum use of the
nation's land and water resources can be assured and the threat
pollution poses to the welfare of the American people can be
minimized.

     EPA's Office of Research and Development conducts this
search through a nationwide network of research facilities.

     As one of these facilities, the Robert S. Kerr Environmental
Research Laboratory is responsible for the management of programs
to: (a) investigate the nature, transport, fate and management of
pollutants in ground water; (b) develop and demonstrate methods
for treating wastewaters with soil and other natural systems;
(c) develop and demonstrate pollution control technologies for
irrigation return flows; (d) develop and demonstrate pollution
control technologies for animal production wastes;  (e) develop
and demonstrate technologies to prevent, control, or abate pollu-
tion from the petroleum refining and petrochemical industries;
and (f) develop and demonstrate technologies to manage pollution
resulting from combinations of industrial wastewaters or indus-
trial/municipal wastewaters.

     This report contributes to the knowledge essential if the
EPA is to meet the requirements of environmental laws that it
establish and enforce pollution control standards which are
reasonable, cost effective and provide adequate protection for
the American public.
                                 W. C. Galegar
                                   Director
               Robert S. Kerr Environmental Research Laboratory
                               iii

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                                  ABSTRACT

     The entry of an accidental slug or shock load from an industrial contrib-
utor into a joint municipal wastewater treatment plant (WWTP) can greatly
reduce plant efficiency.  A Biological Simulation Monitor (BioMonitor) pro-
vides a means of continuously monitoring the influent to a WWTP for varia-
tions in chemical or physical composition.  The microorganisms in the aeration
basins are the most vulnerable components of the treatment facility to upsets.

     The preliminary studies involved a specifically designed continuous res-
pirometer.  The final BioMonitor system is an early warning system based
upon the continuous measurement of ambient dissolved oxygen (DO) level in a
specially modified laboratory-type activated sludge unit.   The feed to the
system is the WWTP's influent.  Under conditions of constant temperature and
pressure, the change in DO reflects oxygen uptake (utilization) by the micro-
organisms.  Changes in utilization in turn reflect changes in substrate or
influent constituents.

     Laboratory studies employing controlled feed to microorganisms ratios
(F/M) and ten industrial wastes have shown the BioMonitor system to produce:

     . a rapid response to the introduction of a shock load
     . a direct correlation between change in DO (magnitude and direction)
       and concentration and chemical nature of shock (i.e.  wastes of
       known high BOD, known heavy metals or other toxics, etc.)
     . no significant difference in K. a values between baseline and shock
       feeds.                        L

     On-site testing at two WWTP's and a contributing industry, at each have
corroborated the laboratory results.   During field testing the BioMonitor
indicated changes in the influent three hours before the flow reaches the
bio-population in the aeration basins.  A companion BioMonitor system located
online at a contributing industrial site monitors the wastewater as it leaves
the plant.  Problems can be identified and an increase in the warning time
(equal to the time of flow on the sewers) can be given to the WWTP.

     After the initial period of installation and trouble-shooting, maintenance
on site is simple and minimal.

     This report was submitted in fulfillment of grant no. R-803740 by
Vanderbilt University under the sponsorship of the U.S.  Environmental Pro-
tection Agency.   This report covers the period June 1, 1975, to May 31, 1977,
and work was completed as of June 14, 1977.
                                      IV

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                                 CONTENTS

Foreword	iii
Abstract	   iy
Figures	   vi
Tables	vii
Abbreviations and Symbols	viii
Acknowledgement  	   ix

     1.  Introduction  	    1
     2.  Conclusions 	    2
     3.  Recommendations 	    3
     4.  State-Of-The-Art Review 	    5
     5.  Evaluation and Selection of Parameters for Use in the
         BioMonitor  	    8

     6.  Development of the BioMonitor	   17
          o   Design of the BioMonitor	   17
              Laboratory investigations  	   20
              On-site investigations 	   34

References 	 54,78,90
Appendices

     A.  Development of a Continuous Respirometer  	   58
              Description of the continuous respirometer 	   58
              Characterization of the continuous respirometer  ...   60
     B.  Development of Proposed Mathematical Models for BioMonitor
         Response	,79
              Basic concepts of microbial growth	   79
              Steady state of activated sludge unit  ........   83
              Steady state evaluation of BioMonitor  	   85
              Dynamic models of the BioMonitor 	   88
              List of abbreviations and symbols  	   89
     C.  Pilot Plant Investigations  	   92
              Description of pilot plant 	   92
     D.  On-Site Information 	  116
              Maintenance procedures-industrial site 	  116
              Maintenance procedures-waste treatment site  	  116
              BioMonitor daily log	118
              Data sampling routine-waste treatment plant  	  119
              Data sampling routine-industrial site  	  120
     E.  Graphical Representation of Results from Intensive Data
         Colletion Period-Site 1 	  121
     F.  Graphical Representation of Results from Intensive Data
         Collection Period-Site 2  	  151

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                                  FIGURES
Number                                                                 Page
   1     TTC reaction	    12
   2     Schematic of a Warburg respirometer  	    14
   3     Schematic of cylindrical  BioMonitor  	    18
   4     Photograph of the cylindrical  BioMonitor 	    19
   5     Diagram of wastewater treatment facility-site 1   	    35
   6     Design of monitor station  	    36
   7     BioMonitor on location-site 1   	    37
   8     Design of screening device 	    38
   9     Preliminary graph-BioMonitor response-joint wastewater treat-
           ment plant-site 1	    41
  10     DO vs time (industrial site 1)	    42
  11     DO vis time (wastewater treatment plant-site 1)   .-	    43
  12     Wastewater treatment facility-site 2    	    47
  13     Photograph of BioMonitor at wastewater  treatment  plant-site 2   48
  14     Close-up of BioMonitor at wastewater  treatment plant-site  2.    49
  15     Modified screening device  	    50
  16     Photograph of modified screening device  	    51
                                     VI

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Number
1
2
3
4
5
6

7
8
9

10
n
12
13
14
15

16
TABLES

Parameters Investigated 	
Intersystem Comparison (Changes in DO) 	
Detention Time Analysis 	
Steady State Analysis 	
Results of Characterization Studies-BioMonitor 	
Indentity and Comparison of the 10 Industrial Waste ;>
Employed 	
Summary of Industrial Waste Shocks 	
Reproducibility of Industrial Shocking Results 	
Ratios of Corresponding BOD Variations and DO Variations
During Shock Loading 	
KLa Study on 10 Industrial Wastes 	 , .
Poultry Waste Shock Loading-Experiment 1 	
Poultry Waste Shock Loading- Experiemnt 2 	
Operation Parameters: Wastewater Treatment Plant Site .
Operation Parameters: Industrial Site 	
Design and Operating Parameters-Wastewater Treatment
Plant 2 	
Industrial Site 2-Wastewater Characteristics 	

Page
9
21
21 & 22
22 & 23
24

25
27
28

29
30
32
33
44
44

52
52
vii

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                         ABBREVIATIONS AND SYMBOLS
ABBREVIATIONS

A.B.
ATP
BOD
Cl
COD
DNA
DO
F/M
K,a
MCSS
MLVSS
02
rr
s
So
SS
t
TDS
TF
TOC
TTC
WWTP(s)
aeration basin
adenosine triphosphate
biochemical oxygen demand
oxygen concentration
chemical oxygen demand
saturation concentration of oxygen in water for a given
temperature and pressure
deoxyribonucleic acid
dissolved oxygen
food concentration to microorganism concentration
oxygen transfer coefficient
mixed liquor suspended solids
mixed liquor volatile suspended solids
dibasic ammonium phosphate
oxygen
microorganism respiration rate
sensitivity
BOD concentration of the feed (substrate)
suspended solids
detention time
total dissolved solids
triphenyl formazan
total organic carbon
triphenyl tetrazolium chloride
joint municipal/industrial wastewater treatment plant  (s)
concentration of biomass (MLVSS)

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                             ACKNOWLEDGMENTS

     We wish to acknowledge the laboratory, pilot plant and on-site assist-
ance of the following people without whose help this project could not have
been completed:  Ms. Beverly A. Young; Mr. Gregory W. Pulliam; Mr. Leonard
D. Tidwell; Mr. Edwin J. Furtaw; Ms. Elizabeth D. McMullen; Mr. Chiu-Yang
Chen; and Mr. Philip E. Burke.  The theoretical analysis was developed by Mr.
Chen.
                                      IX

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                                SECTION 1

                               INTRODUCTION

     Joint municipal-industrial sewage treatment systems can experience a
high loading or toxic discharge from an on-line industry.  This can reduce
the treatment facility's efficiency or "knock-it-out" entirely.  The purpose
of the Biological Simulation Monitor is to provide an early warning of these
high load or toxic conditions.  In some cases the problem flow could then be
diverted and/or treated or the treatment facility could modify operating pro-
cedures to better accommodate the waste.

     A secondary ramification is enforcement - that is, to whom to charge the
costs for handling this loading or the cost of reestablishing the biosystem.
The enforcement aspect is accomplished by industrial contributors employing
a BioMonitor on their plant effluents.  More importantly, this arrangement
could indicate that a suspected plant is not the one at fault since nothing
abnormal was indicated on their monitoring system at the time of the shock
loading.

     This study focuses on the development and design of the "BioMonitor".
This system provides a rapid and reliable means for early warning detection
of problematic influent to biological treatment systems.

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                                SECTION 2

                               CONCLUSIONS

     A device that produces a rapid response to changes in influent loadings
at wastewater treatment plants has been designed, developed and demonstrated.
It is called the "BioMonitor," [Biological Simulation Monitor for a Joint
Municipal/Industrial  Treatment system (WWTP)].   The device is based upon the
measurement of changes in dissolved oxygen (DO).  The microorganisms them-
selves monitor their own "health" using DO as the monitoring parameter.  Mi-
croorganisms in a small scale activated sludge system utilize the DO in con-
junction with influent substrate decomposition.  Changes in substrate cause
changes in utilization of DO which arereflected by changes  in the ambient
level of DO monitored.

     The system is useful for industries which treat their own wastewater as
well as for WWTP facilities.  By locating a BioMonitor at an industry contri-
buting wastewater to a WWTP, advance warning of a "problem" load can be
given; said warning equal to the time of flow in the sewers.  Test results
from a BioMonitor located within WWTPs indicate that an approximate three
hour warning can be given before the problem flow reaches the microorganisms
in the plant's aeration basins.

     An increase in DO can reflect a toxic or inhibitory loading or a de-
crease in substrate (BOD).  A decrease in DO reflects an increase in sub-
strate (BOD) loading.  The DO readings include inherent variations due to
changes in temperature.  After the direction of the DO change is established,
tests must be run to  determine the specific cause of the DO change.  The poten-
tial exists for the use of the BioMonitor as a controller to divert and/or
treat problem influents as warranted by the specific nature of the problem.

     The BioMonitor can be employed as an enforcement tool.  If a WWTP's
treatment efficiency werereduced because of problem industrial wastes, major
contributing industries could be called upon to produce the strip chart re-
cordings of their BioMonitor1s response for the period in question.   The pre-
sence or absence of anomalous behavior could help ascribe responsibility for
the WWTP upset.  Changes could be made accordingly.

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                                SECTION 3

                             RECOMMENDATIONS

     1)  It is recommended that additional investigations be performed to
correlate effluent quality with influent changes and BioMonitor response.
The procedure would be analogous to that employed in the design and develop-
ment of the BioMonitor system itself.  Specifically, it is recommended that
the investigation framework and preliminary studies be performed in the lab-
oratory.  On-site studies would then follow.

     2)  It is recommended that the BioMonitor be tested at additional joint
industrial wastewater treatment plants (WWTP).  It would be beneficial for
these WWTPs to have a history of plant upsets due to industrial contributors.

     3)  It is recommended in conjunction with recommendation (2)  above
that the application of the BioMonitor in determining the industrial  source(s)
of a shock load to a WWTP be demonstrated.

     4)  It is recommended that the BioMonitor be tested at industrial plants
which treat their own wastewater.  It is recommended, where applicable, that
companion BioMonitors be positioned at the major discharge points as well as
at the confluence point.  The former could help locate the source of the sys-
temic shock within the industrial plant.  The latter could detect synergis-
tic effects on the microorganisms from the combined waste streams.

     5)  It is recommended that the potential use of the BioMonitor as a
controller be investigated.  This is based upon the fact that the response
of the BioMonitor to input changes is much more rapid than the response of
the biological treatment plant system.  In conjunction with the investiga-
tions recommended in (1) above, the dynamic response of the BioMonitor to
input changes must be characterized and subsequent application to control
schemes (i.e., feed forward control) should be explored.

     6)  It is recommended that the mathematical model of BioMonitor re-
sponse be verified both in the laboratory and, if successful, on site.

     7)  It is recommended that additional instrumentation work be performed
on the dissolved oxygen (DO) meter and/or recorder.  Studies should be per-
formed to determine the benefits of monitoring a differential response ver-
sus ambient DO readings.  It is recommended that the DO monitoring electron-
ics be altered to automatically remove temperature effects.  An alternative
way of eliminating temperature effects is to control the temperature of the
unit at 20°C by a thermostating process.  This alternative could result in a
different microorganism efficiency in the BioMonitor from that existing in

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the WWTP's aeration basin.  It is recommended that the two alternatives be
studied and complete evaluations performed prior to selection of the means
of compensating for physical temperature variations in DO levels.

     8)  Finally, it is recommended that additional steps be taken so that
the BioMonitor system could be packaged in unitized (modular) form for use
at biological wastewater treatment facilities.

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                                SECTION 4

                         STATE-OF-THE-ART REVIEW

     The BioMonitor is a device to detect variations in the composition of
the influent to a joint municipal/industrial wastewater treatment plant
(WWTP).  If the variation of the influent is caused by a toxic discharge or
an unusually high BOD loading, the facility could be incapable of sufficient-
ly treating the wastestream.  This reduced efficiency would result in poor
effluent quality and/or the need to regenerate the system (replace the bio-
mass in the aeration basins).  If the latter effect is experienced, poor
quality effluents will be discharged for approximately one to two weeks.

     The BioMonitor, which is a modified laboratory scale activated sludge
system, continuously samples the influent to the WWTP.  The BioMonitor re-
sponds to changes in influent loading prior to the impact of these changes
on the microorganisms in the aeration basins.  By the judicious placement of
the BioMonitor system at the WWTP during field testing, an average three hour
period exists before the problem flow reaches the biopopulation in the large
aeration basins.  By positioning companion BioMonitors on the effluents of
the major industrial contributors to the WWTP, additional time can be afford-
ed for the necessary preparations to accommodate the shock load.  Secondly,
use of the companion BioMonitors affords an enforcement tool - helping to lo-
cate the source of an accidental slug.  The BioMonitor is alsp applicable
for monitoring the influent variations at an industrial treatment site.  The
great potential, at either type of facility, lies in its use as a controller
to divert flow, adjust pH, etc.

     As implied, the microorganism population used in biological treatment
at a WWTP constitutes the most vulnerable phase of the facility.  The dis-
ruptive effects of industrial discharges on biological treatment systems are
well known and well documented in literature concerning wastewater treatment.
Green (1) mentions a 50 percent mortality rate, occurring within 48 hours,
of the enchytracid worm Lumbricillus rival is due to sewage containing an in-
dustrial chemical effluent.  Such a reduction in the microorganism popula-
tions of a trickling filter can lead to excessive accumulation of microbial
film, ponding, and deterioration of the effluent.  In the activated sludge
process a reduction in effluent quality may be caused by heavy metal  ions af-
fecting flocculation and sedimentation.  As discussed by Patterson (2), heavy
metals such as copper, chromium, nickel, and mercury directly affect the ac-
tivities of cellular enzymes.  Other inhibitors can alter cell membrane per-
meability, and heat or toxicants such as chlorine may have a general  systemic
effect destroying cellular integrity.  Jackson (3) and Green (1) emphasize
the susceptibility of methanogenic bacteria found in anaerobic digesters to
poisoning by toxic substances, especially heavy metals, phenols, and chlorin-

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ated hydrocarbons.  Because of this susceptibility, a test for the presence
of toxic materials, using actively digesting sludge and measuring methane
nac nv»nHnr» + i rm  TC rlocfv*! HoH f '5^
W I  W/\ I V* tliw \.\- l I u 1 ** ) M -J I 11^ U^ W 1 V ^ I

gas production,  is described (3).
     Although continuous monitoring for toxic substances is not common prac-
tice at most biological treatment plants, such information is desirable for
protection and efficient maintenance of the system.  Some gross indications
of industrial discharges are significant changes in color, odor, and temper-
ature of the plant influent.  Problems such as pump failure and pipe corro-
sion may result (4).  More sensitive and reliable indicators are needed.
Below is a brief review of various toxics monitoring systems.  These systems
fail to meet one or more of the following criteria:  continuous monitoring;
low cost; high sensitivity; low maintenance; reproducible, rapid and relia-
ble response; and applicability to sewage treatment facilities.

     (a) Cairns et al. (5) report on the design of a continuous flow biolog-
ical early warning system for industrial use.  This system involves the use
of fish in aquaria (1 per tank).  Breathing signs were picked up by elec-
trodes at the ends of the aquaria and recorded by a polygraph.  Light beams
traversed the aquaria at 3 levels.  Counters tabulated the number of time a
fish swan through the beam.  This count reflected fish activity.  The system
required highly trained personnel to interpret the polygraph data.  Minimum
reported lag time between toxicant addition and detection was from 1 to 9
hours.  This time span reflected the time requirements for human data analy-
sis.  Addition of an analog-to-digital converter, minicomputer and tele-
printer would reduce both operator training requirements and time for detec-
tion.

     (b) Polymetron  (6) has marketed the "Condimat" system for the continu-
ous monitoring of toxic effluents in wastewater.  The system measures low
concentrations of toxic ions such as fluoride, cyanide, sulfide, nickel and
chromate using ion specific probes.

     Several continuous and semicontinuous monitors based on oxygen uptake
rates have been developed.  They are described below essentially in chrono-
logical order.

     (c) Sletten (7) proposed a respirometric (Warburg) screening test for
toxic substances in a 3-hour run instead of using fish bioassay.  The screen-
ing employs a manometric assay of fish tissue (homogenates of brain, heart,
gill, and liver, with liver preferred) respiration.

     (d) A self-contained sampling and measurement system featuring a con-
tinuous respirometer is reported in the literature (8).  A sample from the
aeration basin or primary clarifier is aerated and continuously metered
through an internal residence chamber at a constant rate.  DO sensors lo-
cated at both ends of the chamber sense the differential in oxygen utilized
(9).  From the available information it appears that this system employs the
microorganism populations present in the waters being tested.  Such a design
appears to reduce its applicability for monitoring industrial plant efflu-
ents miles upstream from the WWTP under investigation where the ambient mic-
roorganism population would be low.  This would result in low utilization


                                     6

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and small changes in the DO level.

     (e) Another monitor maintains a solution of microorganisms, a sample of
which is mixed with the test solution and specific nutrients (10).  The mix-
ture is then monitored for a specific parameter such as pH, turbidity, COo,
or oxygen concentration, with oxygen concentration being the most suitable
for toxicity determinations.  An inhibition of microbial activity will re-
sult in a decrease in the oxygen uptake rate and a subsequent increase in
the DO level.  The one major drawback to this system is the requirement of
a specific monoculture of bacteria in order to avoid mixed microbial respon-
ses.  Obviously, this would not be applicable to the variable population
which comprises activated sludge.

     (f) The biological inhibitor detector (BID) has been developed as a
sensing device for toxic loads to activated sludge processes (11).  The con-
tinual monitoring cycle measures and compares the oxygen uptake rates on two
propylene glycol samples, one before and one after the exposure of the acti-
vated sludge sample to the plant effluent.  Any inhibition of the sludge
will be reflected in the second oxygen uptake curve, and by comparison to
the first, changes in sludge sensitivity can be detected.  Each measurement
cycle requires approximately 60 minutes to establish such a comparison.  The
area under the oxygen uptake curve, the total oxygen consumed, was found to
be more sensitive and reproducible than the oxygen uptake rate and was used
as the monitoring parameter.  Continuous and batch toxicity tests show this
monitor is responsive to inhibitory, effects of heavy metal ions and toxic
organic compounds.  The system was developed as a part of a more involved,
computer controlled, automated optimization of a petrochemical biooxidation
wastewater treatment facility.

     (g) Arthur (12) presented an on-line instrument for wastewater measure-
ment and control using a manometric respirometer.  The system is batch-wise
continuous with variable retention times.  A portion of a continuously pump-
ed sample is diverted to an aeration column.  The system is then sealed and
the oxygen consumption measured.  The sample is then discharged; column
flushed and new sample introduced.  The whole system is contained in a temp-
erature controlled water bath.

     From the above review and additional investigations into recent labora-
tory research employing continuous instrumentation (e.g., 7, 13, 14) it was
concluded.that no existing system could fully meet the requirements of the
Biological Simulation Monitor we propose.  In each instance some problem in
the theory, design or economics precluded the system's use as the "BioMoni-
tor."  Consequently, it was decided to review the parameters available for
monitoring a joint municipal/industrial WWTP's influent and design the Bio-
Monitor accordingly.  The next section is a discussion of this review inclu-
ding the conclusions drawn about the suitability of each parameter for con-
tinuous monitoring.

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                                SECTION 5

                EVALUATION AND SELECTION OF PARAMETERS FOR
                           USE IN THE BIOMONITOR


     The purpose of the BioMonitor is to warn of any changes in influent
substrate which could result in an unsatisfactory treatment plant effluent.
The major impact of a shock load is on the biomass in the aeration basins.
Consequently, a reliable parameter must be a function of microorganism meta-
bolic activity which in turn reflects the rate of substrate removal.  Two
additional criteria are important in the selection of a parameter on which
to base the BioMonitor.  Specifically, these are:  (a) a sensitive and rapid
response; and (b) a relatively easy analysis adaptable for continuously moni-
toring.

     In consideration of the above requirements, nine parameters were select-
ed to be investigated for their potential use in the BioMonitor. (See  Table 1
for a list of these parameters).  In each case a literature review was suffi-
cient to determine the suitability of the parameter for our needs.  Some of
the nine parameters were later studied in the laboratory to corroborate the
findings of the parameter of choice.  (See Sections 6 and 7).  The problems
encountered in these studies agreed with those predicted from the literature
review.  The conclusions of the literature review are summarized below.

     (a) MLVSS - Mixed liquor volatile suspended solids (MLVSS) is a standard
parameter used in biological system control (15).  This is a gravimetric
analysis.  Therefore, the results include living and dead cells as well as
inert organic matter.  Coackley (16) and Patterson (2) have observed toxic
wastes which seriously affected the oxidative capacity of the activated
sludge biopopulation but had no immediate effect upon the MLVSS value.
Therefore, the use of MLVSS as the monitoring parameter was rejected.

     (b) Cell Count - The most direct measurement of viable biomass would be
an actual count of living cells.  While this is a sensitive method for pure
microbial cultures, this procedure cannot be applied directly to activated
sludge because of its heterogeneous nature.  A medium capable of supporting
the growth of numerous species of bacteria, viruses, etc., must be used.
However, it is known that the use of one growth medium causes selection.
Moreover, it is difficult to separate individual cells.  Also, the sample
must be homogenized.  This step has produced significant increase in the
bacterial count (17).  These facts plus the inherent time delay in carrying
out the counting procedure reduce the usefulness of this parameter for our
purposes.

     (c) Cell Constituent Measurements - The cells of the microorganisms

                                      8

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TABLE 1-    PARAMETERS INVESTIGATED
MLVSS
Cell Count
Cell Constituent Measurement (i.e.,
 DNA, Organic Nitrogen, etc.)
 BOD
 COD
 TOC
 ATP
 TTC
 DO/Oxygen Uptake

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in activated sludge contain many constituents for which analytical  techniques
have been developed.  Examples of measurable cell constituents include organ-
ic nitrogen, protein and DNA.  However, it has been demonstrated that these
components are partially retained by the nonviable organisms (2,17,18).  The
slow responses of these parameters to large and/or rapid changes in biologi-
cal activity makes them poor choices for an instantaneous performance moni-
tor.

     (d) BOD - An indirect measurement of the changes in metabolic activity
in activated sludge can be seen by the variations in the Biochemical Oxygen
Demand (BOD) of a substrate.  The most obvious difficulty in using this
parameter is the accepted 5-day test period (19).  Moreover, the reported
accuracy of BOD analyses is ± 20 percent (20).

     (e) COD - Although use of the Chemical Oxygen Demand test (COD) elimin-
ates some of the disadvantages of BOD, the COD variations might not be di-
rectly related to the variations in the biodegradable fraction of a waste
(15).  For this reason, COD was determined to be an inappropriate parameter
for the monitoring of sludge activity.

     (f) TOC - Analysis for Total Organic Carbon (TOC) can be an automated
and continuous procedure, if desired (21).  It is frequently employed to
monitor a waste stream and the effluent of a treatment plant.  However, the
analysis does not provide differentiation between living and inert matter.
Moreover, the results could not indicate the possible toxic nature of an in-
fluent variation or variations in nonorganic components.  Consequently, for
our purposes TOC is not a suitable monitoring parameter.

     (g) ATP - Cellular biochemistry offers several possible parameters to
monitor biomass activity.  Adenosine triphosphate (ATP) is one such possibi-
lity.  ATP is a high energy compound found in every living cell..  It is an
essential ingredient in the initial biochemical  steps of substrate utiliza-
tion and cell synthesis, and is therefore a specific indicator of cell acti-
vity.  ATP is not conserved by nonviable cells.

     In the analysis, ATP reacts with luciferin/luciferase enzyme, extracted
from firefly lanterns.  A complex is formed which then reacts with oxygen,
forming an excited state followed by light emission (2).  The light emission
is affected by several factors.  The analytical  procedure is quite specific
with regard to temperature, pH, quality of firefly extract and other rea-
gents, and presence of enzyme inhibitors.  Another major drawback for this
analysis is the high cost of reagents and equipment (16).

     Many studies have been conducted on the applicability of ATP as an
activity parameter (2,17,22-26).  These studies indicate that the reaction
is very susceptible to complications which could result in erroneous inter-
pretation of the data.  This problem was borne out in our laboratory analy-
sis.  Subsequently, the use of ATP for the monitoring parameter is not the
optimum choice.

     (h) TTC - Another indicator of the cellular biochemistry of the micro-
organisms is dehydrogenase activity.  During the biological treatment of or-

                                     10

-------
game wastes, the dehydrogenase enzymes catalyze the oxidation of the sub-
strate by removing hydrogen ions from it  (16,27,28).  The normal terminal
electron acceptor is oxygen, but the dehydrogenase activity can be measured
by providing an artificial hydrogen acceptor.  One such electron acceptor is
triphenyl tetrazolium chloride (TTC) which, upon reduction, forms triphenyl
formazan (TF), a red insoluble dye (see Figure 1  ).  The dehydrogenase acti-
vity is measured by determining colorimetrically the amount of TF produced.
As in the determination of ATP, the dehydrogenase activity test is quite de-
pendent upon procedural conditions.  Variables such as pH, incubation temp-
erature, and reaction time have been studied, and general operating ranges
have been standardized  (29-32).  There is continuing reassessment, however,
of such conditions as the use of an organic substrate, means of extraction
of TF, and the exclusion of oxygen during incubation.  Several procedures
have been proposed and used, and conflicting results have been obtained (30,
31).  It is generally recognized that dehydrogenase activity responds quick-
ly to changes in both substrate loading and toxic materials, although Jones
questions its accuracy as a measure of total biological activity (32).
Under aerobic conditions, molecular oxygen acts as an inhibitor and competes
with TTC as the terminal hydrogen acceptor.

     Several studies have shown inhibition of dehydrogenase activity by
heavy metals and pesticides (16,23,30,33).  Results indicate a significant
and rapid adverse effect on biological activity and a sensitivity comparable
to that of a Warburg respirometer (30).  The measurement of dehydrogenase
activity is considered to have potential for activity studies even though it
has procedural complications.

     At the present time, there is no automated analytical procedure suitable
for the determination of dehydrogenase activity in the heterogeneous biomass
of activated sludge.  Manual experiments at our laboratory were exacting but
did result in reproducible patterns of changes in TTC level which correlated
with substrate changes after an appropriate time delay factor.  In full con-
sideration of the above, it was decided that at this stage of instrumental
development TTC analysis is not a good choice for a continuous monitor of
sludge activity.

     (i) DO/Oxygen Uptake - The change in the level of dissolved oxygen (DO)
is a good indicator of the activity of a biological system.  The endogenous
and exogenous respiration of the microorganism contributes to oxygen utiliza-
tion.  Endogenous microbial respiration uses oxygen for the degradation of
internally stored (intracellular) substrate reserves.  Exogenous microbial
respiration uses oxygen to degrade the substrates in the influent waste.
Exogenous demand changes much more rapidly with influent variations than
endogenous.  Moreover, the effects of changes in certain parameters, e.g.,
temperature or pressure, upon DO level is understood and predictable.

     The measurement is both automated and continuous when using a galvanic
cell DO analyzer.  The development of this membrane electrode probe has made
possible near instantaneous DO readings with a precision of ± 0.1 mg/1  (34-
36).  Laboratory tests have been conducted to determine whether a DO probe
responds quickly enough to changes in DO concentration to yield accurate
oxygen uptake rate measurements (35).  The meter response was shown to  be

                                     11

-------
l\3
                     SUBSTRATE  	}  OXIDIZED SUBSTRATE

                              DEHYDROGENASE
               E.G.    RHo    	>      R    +    2H
                     2H + TTC    	>   TF + HCL
                     (COLORLESS)              (RED)
                      Figure 1.  TTC reaction.

-------
adequate for oxygen uptake determinations up to 300 mg/l-hr, which are far
above those normally encountered.  The instrumentation is comparatively in-
expensive with minimal maintenance.

      Oxygen (Oo) uptake is a measure of the change in DO level caused by mi-
croorganism utilization.  Oxygen uptake can be measured by a respirometer
with or without membrane DO probes.  The measurement of oxygen uptake (rate)
reported in mg/1 per hour, has been undertaken in many studies to determine
the effect of toxicants and inhibitors on activated sludge (1,2,13,17,23,26,
33,37,38).  In almost all cases, the oxygen uptake rate has shown rapid re-
sponse, and, in one particular study, showed significantly more inhibition
than the ATP or dehydrogenase activity measurements.  The measurement is
simple (using oxygen electrodes), sensitive, and rapid.

     The most common respirometer is the Warburg.  Basically a respirometer
operates as follows (see Figure  2  for a general schematic):  a sealed sample
container holds both the microorganisms and the sample in question.  Connect-
ed into the container is a means of measuring the decrease in the partial
pressure of oxygen in the closed atmosphere above the sample.  This decrease
is usually measured manometrically.  The two main drawbacks to the Warburg
respirometer are the small size of samples studied and the inefficient ab-
sorption of the carbon dioxide (C02) produced as a result of oxidation (16).
Developments have been made, however, on large volume respirometers which
provide more detailed information on respiratory activity.  Arthur (39) has
developed an automatic respirometer which recycles both air and liquid count-
er-currently through a large, closed reaction chamber.  Carbon dioxide is ab-
sorbed by sodium hydroxide.  Research has shown that this respirometer can
approximate the 5-day BOD in a period of 4 hours (20).  Another large volume
respirometer has been developed to yield BOD data and treatment plant design
parameters within 24 hours (40).
                                                                t
     Robertshaw Controls Company has developed an automatic respirometer
which uses two DO probes, one at each end of a residence chamber.  These
probes measure the differential in oxygen utilized by activated sludge
throughout the system (41).  The data is reported as oxygen uptake, in
milligrams per liter per hour, and the response time is approximately two
minutes.  Other similar respirometers using membrane electrode probes have
been developed with response times of 4  to 18 hours.  Measurement of changes
in DO level as an indication of oxygen uptake using a membrane probe is very
simple.

     The relationship between oxygen uptake rate, DO level and oxygen trans-
fer is mathematically described as follows (42):

               dCL/dt = KLa (Cs - CL) - rr                            (1)

where:

     dC,/dt   is the change of oxygen concentration in the activated sludge
              unit with respect to time
                                     13

-------
                   .CONTROLLED  TEMPERATURE
                   f WATER BATH
                                       GROUND
                                       GLASS
                                       FITTINGS
                                         CENIER
                                         WELL
                                         (KOH)
MANOMETER-^,
FLASK a   **
SUPPORT IN
PLACE
         HAKER MECHANISM WITH
       ATTACHMENTS FOR
       MANOMETER SUPPORTS
                                                           GAS/VENT
                                                             PORT
                                                           GRADUATIONS
BRODIES
FLUID
                                                          ADJUSTING
                                                          SCREW


                                                          RESERVOIR
                                               MANOMETER
                                                   a
                                             SUPPORT ASSEMBLY
           Figure 2.  Schematic of a Warburg Respirometer.
                                  14

-------
     KLa      is the oxygen transfer coefficient in the activated sludge unit

      Cs      is the saturation concentration of oxygen in water for a given
              temperature and pressure (constant during period of K,a run)

      CL      is the oxygen concentration in the system

      rr      is the biological respiration rate (oxygen uptake by organ-
              isms - constant during period of KLa run).

     Under unsteady state conditions, where the DO level is changing with
time (dC/dt / 0), the change in oxygen levels can be attributed to a change
in the oxygen uptake rate (biological activity) only if the oxygen transfer
coefficient, KLa, remains constant.  For this reason, a system using the
oxygen uptake rate as the monitoring parameter should maintain constant oxy-
gen transfer during the period of interest.  This transfer is a function of
the level of air flow and the aerator efficiency.  Since the air flow can be
measured by a rotameter, K,a is evaluated according to the type of aeration
device used.

     Albertson and DiGregorio (35) have concluded from bench scale studies
and actual treatment plant performance data that oxygen uptake rates can af-
fect the overall oxygen transfer.  This relationship between mixed liquor
oxygen uptake rate and the oxygen transfer capacity is explained by the di-
rect transfer of oxygen from air bubbles present in the mixed liquor to the
microorganisms.  Other bench scale studies were performed to determine if
there were an oxygen demand accumulation at low DO levels.  No inhibition of
oxygen uptake rate, as shown by an oxygen demand accumulation, occurred even
at DO levels as low as 0.1 mg/1.  Only when there was continued substrate
feeding and no aeration at all, did any oxygen demand accumulation result.

     Other studies on inhibition of oxygen uptake rate have shown similar
results.  Meddle and Jenkins (17) report that DO uptake rates of activated
sludge are not affected by the DO concentration unless it falls below 0.5
mg/1.  They do mention an effect on the rate of oxygen uptake due to the
turbulence to which sludge floes are subjected.  Gaudy and Turner (38) also
studied the effects of low oxygen tension and their results indicate that
only DO levels below 0.5 mg/1 alter respiration rates.  Their work revealed
that a short term absence of DO will not seriously affect the substrate re-
moval rate.  Other basic microbial studies have shown that the concentration
of DO over a range from 0.5 to 35 mg/1 does not affect the respiration rate
of dispersed cells (43).  It can thus be concluded that the normal DO levels
found in properly operated activated sludge treatment systems and the modi-
fied bench scale unit under study will not affect the rate of oxygen uptake.
Duggan and Cleasby (44) conclude that "there is a direct response in mixed
liquor DO to influent substrate load variations when DO levels are above the
concentration critical to microbial oxygen utilization."

     After careful consideration of the information gathered about the nine
parameters under investigation, the parameter selected for use in the Bio-
Monitor is  DO/oxygen uptake rate.  The continuous measurement of ambient DO
level using a membrane probe best meets the criteria discussed earlier.  The

                                     15

-------
change in DO level  (oxygen uptake) is a function of the oxygen utilization
of the microorganisms which in turn reflects the substrate removal.   More-
over, the analysis is rapid, simple and continuous.  The equipment cost is
comparatively low as are the maintenance requirements.

     The next step was the development of a preliminary BioMonitor for lab-
oratory investigations.  This is essentially a continuous oxygen uptake mon-
itor using membrane probes (or respirometer as described earlier) designed
to meet our specific needs.  The development of this unit and the results
and conclusions drawn from various testing procedures are discussed in
Appendix A.  In the next section, the details of the design,  development and
testing of the BioMonitor system are presented.
                                     16

-------
                                 SECTION  6

                       DEVELOPMENT  OF THE BIOMONITOR


DESIGN OF THE  BIOMONITOR

     Figure3   is  a  schematic  of the cylindrical BioMonitor.  Figure  4   is
a photograph of the  system.  The significant feature of the BioMonitor is
the introduction of  the feed directly  into the contact chamber.  Unlike the
side car of the previous  unit,  the contact chamber is not air tight.  Rather,
it has a constant  air  flow entering at the bottom.  This air stream provides
a source of dissolved  oxygen for the chamber;  acts as an air lift pumpj  and
mixes the contents of  the chamber.  The  air lift continuously returns the
chamber's contents to  the aeration basin.  A return tube is continuously
adding mixed liquor  from  the aeration  basin to the contact chamber.  The
contact chamber holds  a maximum of 5%  of the total BioMonitor's volume.   The
clarifier has  an approximate volume of 2,200 ml and the aeration basin ap-
proximately 6,900  ml.  A  representative  contact chamber volume is 400 ml.
Consequently,  if the feed is sufficiently toxic to kill the microorganism on
contact, the aeration  basin acts as a  source of viable organisms.  Although
this source is  becoming contaminated by  the nonviable organisms, this design
allows a continuing  readout from the contact chamber to warn of the toxic
shock load.  Moreover, by providing a  reservoir of biomass, the BioMonitor
can be employed at a contributing  industry miles away from the  WWTP.   This
remote system  not  only helps locate the  source of a problem discharge but
also increases  the warning time.

     A DO probe measures  the change in dissolved oxygen in the chamber.
The probe is inserted  horizontally, approximately midlength in the contact
chamber.  At first the protective  shield was removed from the probe and  the
probe was inserted into a threaded port.  This proved unsatisfactory.  Tur-
bulence in flow often  disturbed  the membrane fit.  Also the seal frequently
proved not to  be water tight.   This design was replaced by a collar and
clamp combination  which not only allowed the probe shield to be kept in  place
but also reinforced  the portal  against splitting.  Teflon tape was wrapped
around the probe before insertion  to eliminate any leaks.

     A constant DO level  can be  maintained for a given set of variables
(MLVSS, air flow,  feed flow, temperature, etc.).  The data supporting this
statement are given  later on in  this section.   More importantly, the data
indicated that  during  the period of a  shock (approximately 15 minutes) the
K,a varies only an average ± 5%.   Consequently the DO is not significantly
affected by changes  in oxygen mass transfer rates during the test period.
Therefore the changes  in  DO reflect the changes in microorganism respiration


                                     17

-------
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„
AERATION
  DEVICE'
                                                       DO
                                                     METER
                            •EFFLUENT
                                                 FEED  L
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                    AIR FLOW
                    REGULATOR
                                              RECORDER
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             Figure 3.  Schematic of cylindrical  BioMonitor.

-------

Figure 4.   Photograph of the cylindrical  BioMonitor

-------
as a response to changes in substrate for a given set of BioMonitor condi-
tions.

     The retention time in the contact chamber can be varied by (a) changing
the volume of the chamber; (b) changing the feed flow rate; or (c) changing
the air flow rate.

     The cylindrical design for the aeration basin was chosen in an effort
to effect mixing without mechanical stirrers.  A circular aeration device
with holes larger than those of the bubble wand is employed.  (See Appendix
A for description of sparger).  While the larger bubbles can effect mixing,
their oxygen transfer is less efficient.  However, since the measurements of
interest are made in the contact chamber which is supplied with its own
air source, efficiency of oxygen transfer is not vital.  Air flow can be re-
gulated, independently from the contact chamber, to produce desired dissolv-
ed oxygen levels and mixing.  The cylindrical straight-walled clarifier pro-
duces high quality effluent.  A comparison of Figure  3 , a schematic of the
BioMonitor system with Figure A-l , the schematic of the continuous respiro-
meter, shows the elimination of three pieces of electrical equipment.  These
include:  (a) a solution metering pump; (b) a magnetic stirrer; and (c) an
electrical mixer.

     The elimination of electrical equipment produced a more field worthy
instrument.  It was proposed that the direct introduction of the feed into
the contact chamber would produce a larger and more rapid response than ob-
tained from the continuous respirometer.  These suppositions were investiga-
ted in a series of laboratory experiments.  The investigation and its re-
sults are discussed below.

     Appendix B contains a dynamic model of the BioMonitor.  The model was
developed as a function of oxygen uptake, volatile solids and substrate
concentrations in the aeration basin and contact chamber in relation to in-
fluent characteristics.

LABORATORY INVESTIGATIONS

Characterization of the BioMonitor

     The testing procedure employed in this study was similar to that used
in the characterization of the continuous respirometer.  Specifically, con-
trolled shock loads were administered to the unit.  The shocks were prepared
by varying the amounts of powdered skim milk added to the baseline feed.  In
consideration of the results from the respirometer, the baseline feed was at
an F/M = 0.23.  This level gave increased sensitivityCgreater changes in DO)
of response over systems run at a baseline F/M = 0.3.  It also enabled the
solids level to be maintained.  Unless otherwide indicated, all subsequent
variations will be compared to a baseline feed of F/M = 0.23.

     A first order of business was an intersystem comparison to ascertain
what if any increased response was obtainable from the new design.  The as-
sumptions were upheld.  The new configuration resulted in both increased
sensitivity and rapidity of response.  The results are seen in Table 2.

                                    20

-------
The BioMonitor  in this  case  was  run  at an  F/M =  0.3  (or 0.4)  so that signifi-
cant comparisons could  be  made.

             TABLE  2.   INTERSYSTEM COMPARISON (CHANGES IN DO)
AF/M units
Continuous Respirometer*
0.1 0.4
0.2 0.7
0.3 2.2
—'- ' — 	 •
ADO, mg/1
Cylindrical
Prototype**
0.35
1.18
2.05
^•^^^^^-^^^^—i^^V^^^V^**^— ^VH^H^^^^^^^^^^^^^^^^^^^^B
Unit
Plexiglas***
0.40
0.62
1.06
          *  Based  on  change after 1  hour  with  10 minute retention time in
            the  side  car;  ambient F/M = 0.3

         **  Based  on  change after 12 minutes with 8.2 minute retention time
            in the contact chamber;  ambient F/M = 0.3

        ***  Based  on  change after 12 minutes with 5.1 minute retention time
            in the contact chamber;  ambient F/M =0.4

      .A second  study was  undertaken to optimize the retention time in the
contact chamber.   Variation of the  contact chamber time from 5.22 through
20.00 minutes produced  no appreciable variation in the change of dissolved
oxygen  when measured 12 minutes after the introduction of the shock.  This
represents  0.44 through 1.67 retention times.  The variation in'retention
time in the contact  chamber was achieved by changing the air flow.  Similar-
ly, this variation in retention time did not  produce any appreciable varia-
tion in the time  required for the dissolved oxygen to have changed 0.5 ppm.
These tests were  run on a shock feed of  0.1 F/M.  The baseline feed was at
an F/M  of 0.3.  See  Table 3 for numerical results.

                     TABLE 3.  DETENTION  TIME  ANALYSIS
Detention Time,
minutes
5.11
5.22
6.92
7.03
Avg. ADO, mg/1
@ 12 min.
0.98
1.08
1.16
1.19
Time for ADO = 0.5 mg/1,
minutes
3.6
3.3
3.0
3.6
                                      21

-------
7.25
8.18
10.64
20.00
Avg.
1.09
1.18
1.18
1.21
1.13+ .08 (± 7%)
4.1

2.8
3.4
3.4 ±




.4 (± 12%)
     Next, variations in the steady state DO level  were determined with op-
erating parameters such as-feed and air flow, MLVSS,  etc.,  held constant.
Fluctuations over various 12-minute periods were determined.   A 12-minute
period was the time span over which shock-induced DO  variations were evalu-
ated.  Variations were mainly attributed to ambient temperature changes and
equipment function.  Table 4, steady state analysis,  lists  the results  of  the
study.  The average absolute value for the change in  DO in  a  steady state
system,in the 12-minute period, was 0.02 mg/1 DO.  The standard deviation
(0), was ± 0.02 mg/1.  Three a, or ± 0.06 mg/1  DO,  represented a greater than
99% confidence level.  That is, any change greater than 0.06  mg/1  DO (in 12
minutes) is better than 99% assured of being a  significant  (nonrandom)  vari-
ation.  Random 12-minute periods were selected  from a 20-hour DO chart. The
initial and final DO levels were noted and a  ADO/12-minute interval  evaluated.

                       TABLE 4.  STEADY STATE ANALYSIS*
           Interval Number
    ADO for 12
minute intervals, mg/1
1
2
3
4
5
6
7
8
9
10
0.04
0.02
0.00
-0.06
0.00
0.00
-0.03
0.06
-0.04
0.00

                                                           (continued)
                                      22

-------
                          TABLE 4  (continued)
              11                                  -0.02

              12                                   0.01

              13                                  -0.03

              14                                  -0.02
        Avg. |ADO) = 0.02 mg/1  02

        a= + 0.02 mg/1  02

        3a = ±  0.06 mg/1 0
        *Steady stateF/M -  0.23
        Temperature range 25.9 ->  24.2°C  (during study)

     In a procedure,  similar  to that discussed in Appendix A for the contin-
ous respirometer, the BioMonitor  was characterized with respect to response
and reliability.  Controlled  shocks were created using solutions of powdered
milk plus nitrogen and phosphorus @ 0.1 g/1  (NH.)? HPO,.  Shocks were applied
for 15 minutes.  The  system was- then returned to a baseline feed for a minimum
of one hour.  The results are summarized in  Table 5.  All DO values are an
average of at least four runs.

     The BioMonitor system  produced a rapid  response to the controlled shocks.
Approximately 2/3 of  the total change was experienced in 1/3 of the time span.
The detention time ranged from 5.1 to 6.5 minutes.  The system was reproduc-
ible (< ± B% variation) even  for  runs spanning a week.  The results obtained
(ADO/At vs AF/M) were essentially linear over the range of F/M values studied.
(See correlation coefficients, Table 5).

     After the BioMonitor was characterized  by controlled shocks, ten differ-
ent industrial wastes were  tested on the system.  The results of this study
are given below.

Industrial Waste Shocks

     The ten industrial wastes employed in this study and their chemical
composition, when known, are  given in Table  6.  These industries were selected
from a poll conducted by EPA  regional offices.  Priority was given according
to past experience with on-line industries causing upsets in WWTP's.  These
were actual raw industrial  wastes.  According to the results from the contin-
uous respirometer study, no acclimation period was provided.  The shocking
procedure was identical in  each case.  The specifics were as follow:

     .  A baseline milk feed was prepared at  an F/M of 0.23.
                                     23

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                           TABLE 5.   RESULTS OF CHARACTERIZATION  STUDIES  -  BIOMONITOR
F/M change,
units
0.1
0.2
0.3
Avg. ADO
@ 4 min.
0.25
0.39
0.71
% variation
± 16
± 5
± 5
Avg. ADO
@ 12 min.
0.40
0.62
1.06
% variation
± 12
± 6
± 8
ADO @ 4
ADO @ 12
63
63
67
min x 100
min x IUU



              Avg.            0.23*         ±  8.7         0.35*          ±  8.7               64.3


ro

""*                 Ratio: F/M change      1  :  2.0  :  3.0



                         ADO @ 4 min.    1  :  1.6  :  2.8



                         ADO 
-------
                                  TABLE 6.  IDENTITY AND COMPOSITION OF THE  10
                                          INDUSTRIAL WASTES EMPLOYED
01
General Industrial
Category
Synthetic Rubber
Dairy
Pulp Mill
Poultry
Textile
Tannery
Meat Packing
Chemical
Electroplating
Food Processing

Specific Industry
Synthetic Rubber
Milk, Custards, Cottage Cheese
Sulfite Process
Slaughter & Dressing
Natural Fibers
Baseball Covers
Pork, Beef (includes blood
& fats)
Pesticides
Cr, Fe, N1, Cu
Chili & Similar Fdodstuffs
_ - - — 	 • 	 — — • 	 — — — - • 	 ~ 	 — 	
Chemical
BOD (mg/1)
75
1200
7000
1000
800
1700
900
(Oil & Grease) 1


Constituents*
Others (mg/1)
150 (TSS); 124 (VSS);
30 (NVSS)
300 (TSS)


1600 (COD)
4000 (COD); 2600 (SS);
3000 (TVS); 10,000_(TS);
400 (0 & G); 6 (Cr1)
2000 (COD)
CrTOT 35; Fe 0.4; Ni 4;
Cu 0.4


      *Data supplied by contributing  industries.

-------
           Samples of wastes were prepared according to percent by
           volume formulae with the milk feed.   At least three
           different concentrations of each industrial  waste were  run.
           Shock loadings were applied for a 15 minute  period.
           Baseline feed was then applied for at least  15 minutes
           before another shock load was introduced.
           All  shock loadings were performed at least in duplicate.

The above testing procedure permitted an industrial  waste to be analyzed in
one day.  A rapid test procedure was important since most raw wastes will
degrade with time.  A degraded waste presented two problems.  First, it be-
came  less representative of the industry from which it was received.  Sec-
ondly, it would be improper to compare microorganism response at different
percent shocks if the nature of the wastes had altered  from one test to the
next.  This procedure eliminated any variation due to differences in the
baseline milk feed used for dilution.  The milk feed was prepared daily in
one-day samples.  This also eliminated variation in aeration basin solids
concentration.

      The results are summarized in Tables 7, 8, and 9.  Table 7 compares
the ratio of the percent by volume shocks with the ratios of the changes in
DO observed.  Table 8 shows the level of reproducibility obtained in this
study.  Table 9 compares the ratio of the changes in DO with the ratios of
the changes in BOD from the shock load.  Prior to a meaningful discussion  of
these results, the question of physical oxygen transfer (K,a) versus micro-
organism respiration must be considered.  The basis of  the BioMonitor resp-
onse is the change in microorganism respiration causing a change in  ambient
DO level when the influent substrate changes.  The change in DO should there-
fore predominately reflect the change in oxygen utilization by the binmass
i.e., the oxygen  transfers  in the  baseline-feed and in the stock load should
be essentially the same during the time period of interest.  To,determine
the constancy of oxygen transfer, the K.a (oxygen transfer coefficient) was
determined in the BioMonitor contact chamber using baseline feeds and shock
loading wastes.  Nitrogen gas was used as the deoxygenating medium.   The re-
sults are seen in Table 10.  There was no significant variation in K.a among
the various concentrations of a given industrial waste  feed and the  corre-
sponding baseline feed.  The average percent variation  for the nine  wastes
studied plus a separate baseline feed investigation was ± 5.0% from  a range
of ± 1.1 to ± 7.8%.  Therefore, it was assumed that changes in the DO can be
attributed for the most part, to changes in the microorganisms' utilization
of dissolved oxygen.  When the K.a was run, a second set of shock procedures
(analogous to the first) were carried out.  This was performed a day later
and not in duplicate.  The results are seen in Table 8.  Given the possible
variations in stock waste solutions  (due to age), baseline feed concentra-
tion and solid levels, the reproducibility of Table 8 is generally good.  It
should be noted that K.a values were not obtained on the food processing
waste.  This data comes from a second set of runs made at a later time.
While K.a values were obtained for the poultry wastes,  the second set of
shock runs was not performed.

      Before reviewing the experimental results from each industrial waste,


                                     26

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Industrial Waste
	 • •••• - ,
Food Processing


Synthetic Rubber


Dairy



Pulp Mill


Poultry


Textile


Tannery


Meat Packing


Chemical


Electroplating


(%shock)
( 5)
/ __ _ •
(10)
(20)
(10)
(25)
(50)
( 5)
(10)
(25)
(50)
( 2)
( 5)
(10)
( 5)
(20)
(50)
( 5)
(10)
(20)
( 5)
(10)
(20)
(10)
(20)
(50)
( 5)
(20)
(50)
(10)
(30)
(50)
Avg. ADO
@ 4 min
— - 	 -.-.
-0.13
-0.13
-0.32
0.10
0.26
0.18
-0.11
-0.18
-0,41
-0.60
-0.25
-0.34
-0.36
-0.06
-0.12
-0.19
-0.38
-0.59
-0.78
-0.35
-0.35
-
-0.08
-0.14
-0.36
0.10
0.13
0.36
0.33
0.65
0.76
Avg. ADO
@ 12 min
••••'•
-0.352
-0.43
-0.95
0.18
0.37C
0.305
-0.24
-0.36
-0.79
-1.20
-0.35
-0.63
-0.80
Average
% return
^^_*^hM-Bn^m^— ^^I^^^M^^—
533


85


83



81


-0.14 see text
-0.30.
-0.446
-0.50
-0.79
-1.20
-0.50
-0.50
-
-0.19
-0.30
-0.59
0.14
0.20
0.50
0.45
0.88
1.05


91


57


39


79


96


Average
ADO @ 4 x 100
ADO @ 12
434


61


55



54


42


73


57

,
52


68


67

50_. grand average
l% return is the ratio ot |APU obtained from shock A going back to base-
   line feed @ 12 min/ADO obtained from baseline  feed going to shock A @

2sign indicates direction of change in DO level with application of shock
 loading
|grease
Bolder unit
5acclimation
6in only
                                 27

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                            TABLE 8.   REPRODUCIBILITY  OF  INDUSTRIAL  SHOCKING  RESULTS
ro
oo
Food Processing

Run
I ADO Avg Run II
(% Shock) Mmin @12 min
(5)
(10)
(50)

(5)
(10)
(25)
(50)

(5)
(20)
(50)

(5)
(10)
(20)

(5)
(20)
(50)
.13
.13
.32

.11
.18
.41
.60

.06
.12
.19

.35
.35
-

.10
.13
.36
.35
.43
.95
Dairy
.24
.36
.79
1.20
Poultry
.14
.30
.44
Tannery
.50
.50
—
Chemical
.14
.20
.50
ADO Avg*
@4min (31 2mm

.26
.43

—
.21
.40
.60


(see


.18
.36
.53

.50
.94

_
.44
.74
1.30


text)


.29
.72
1.13

(% Shock)
(10)
(25)
(50)

(2)
(5)
(10)


(5)
(10)
(20)

(10)
(20)
(50)
Synthetic Rubber
Run
@4
.10
.26
.18

.25
.34
.36


.38
.59
.78

.08
.14
.36
I ADO Avq Run II ADO Avg
min @12 min
.18
.37
.30
Pulp Mill
.35
.63
.80

Textile
.50
.79
1.20
Meat Packing
.19
.30
.59
04 min
.54
.62
.51

.22
.30
.36


.34
.49
.80

.04
.05
.29
@12min
.74
.80
.74

.30
.60
.77


.50
.79
1.35

.13
.24
.64
Electroplating
.08
.13
.32
.17
.20
.46
(10)
(30)
(50)
.33
.65
.76
.45
.88
1.05
.20
.48
.82
.34
.72
1.24
              *Run I data is obtained from the shock load run;
               Run II data is obtained from the K.a runs.

-------
ro
to
                  TABLE  9.   DATA  SUMMARY  -  RATIOS  OF  CORRESPONDING BOD VARIATIONS AND DO

                                       VARIATIONS DURING  SHOCK LOADING
Waste
Tannery
Electroplating
Food Processing
Synthetic Rubber
Dairy
Pulp Mill
Poultry
Textiles
Meat Packing
Chemical
Baseline feed
Shock Ratio
1:2:4
1:3:5
1:2:4
1:2.5:5
1:2.5:10
1:2.5:5
1:2:4
1:2:4
1:2:3
1:4:10
1:1.3:2.4
ADO ratio
@ 4 min
1:2.0:2.9
1:2.0:2.3
1:1:2
1:2.6:1.8
1:1.6:3.7:5.5
1:1.4:1.4
1:2:3.2
1:1.6:2.1
1:1.8:4.5
1:1.3:3.6
"
ADO ratio
@ 12 min
1:2.5:3.9
1:2.0:2.3
1:1.3:2.4
1:2.1:1.7
1:1.5:3.3:5.0
1:1.8:2.3
1:2.1:3.1
1:1.6:2.4
1:1.6:3.1
1:1.4:3.6
1:1.5:2.3
BOD ratio
baseline feed:shock 1:
shock 2:shock 3
1:1.8:2.6:4.2
N/A
N/A
1:0.98:0.94:0.88
1:1.5:2.1:3.8:6.5
1:2.4:4.4:7.9
1:1.1:1.4:1.9
1:1.4:1.7:2.4
1:1.8:2.6:5.0
1:1.02:1.10:1.25
1:1.3:2.4
         (F/M variations)

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        TABLE 10.  K,_a STUDY ON 10 INDUSTRIAL WASTES
Waste
Baseline feed**
Synthetic Rubber
Dairy
Pulp Mill
Poultry
Electroplating
Textiles
Tannery
Chemical
Meat Packing
Average for wastes
K, a mean*
0.253
0.231
0.190
0.337
0.254
0.253
0.267
0.294
0.292
0.298


-------
                                                       s,


         rno  -          .0"^*  Un1t ™<* two retention times of the contact
     
-------
does not discharge the whey from cottage cheese manufacturing.  Milk and cus-
tards (seasonally) are also produced there.

Pulp Mill Wastes—
      The industrial  source was a sulfite process plant.  The pulp mill wastes
contained a very high BOD, (70(30lrng/1).  As evidenced by the low percent by
volumes used in the experiment the waste was very "strong."  The large ADO
indicated easy utilization of the ambient BOD by the unacclimated biomass.

Poultry Waste--
      Inexplicably, the poultry waste proved the most problematic of the ten
wastes.  Despite the high BOD and its ostensibly noninhibitory nature, the
change in DO was positive (increase) upon application of a shock load, re-
flecting inhibition.   The shock load experiments were run twice.  Both series
of tests produced anomalous behavior.  The initial results are given below.
They were essentially the reverse of what would be anticipated.

            TABLE 11.  POULTRY WASTE SHOCK LOADING-EXPERIMENT 1

shock
5
10
20
Avg.
ADO @ 4 min
0.88
0.84
0.69

ADO @ 12 min
1.20
1.10
0.91

Average
%. return
101
104
114
106
ADO @ 4 min
ADO @ 12 min
74
76
75
75

      A second test was performed to verify these unexpected results.  The •
 findings  are  reported  in Tables  11 and.12.  As originally anticipated, the
 DO now decreased with the application of the shock and the magnitude of the
 change increased with increasing shock strength.   However, the "% return"
 after removal of the shock was generally not very good and very erratic with
 respect to both magnitude and sign.  This could be attributed to a natural
 grease in the waste but the cause was hard to establish in conjunction with
 the other unexpected behavior.  Table 12 lists the detailed results of the
 second poultry waste analysis.  "To 5%" means the change from baseline feed
 to a 5% by volume poultry waste shock; "from 5%"  means the return from the
 5% shock load to the baseline feed.

      Since the source of this waste was not local, it proved impossible to
 follow up our investigation with questions of the poultry plant personnel and/
 or additional samples for further analysis.

Textile Waste--
      The textile waste came from a natural fibers plant.  They employed no
carriers or chromium dyes.   The results were straightforward and predictable
 from the BOD concentration.  The shock runs employing this waste exhibited

                                      32

-------
SSliit?* reproducfbl'm"-   T»e average percent return, 91%, was lltartit ex-
            TABLE  12.   POULTRY HASTE SHMK
to 5%
from 5%
to 5%
from 5%
to 20%
from 20%
to 50%
from 50%
to 50%
from 50%
| Average)

-0.05
-0.03
-0.07
-0.03
-0.12
0.02
-0.25
0.11
-0.13
0.20


-0.13
-0.02
-0.16
-0.12
-0.30
0.07
-0.57
0.36
0.30
0.40


15
75
-23
-63
-• •—
75
50

38
44
(25)
40
(28)
44
(31)
43
(50)
42(33)
38
Tannery  Waste--
     This waste  was  the  effluent  from  the manufacture of baseball  covers.
The  high BOD  (1700 mg/1),  and  COD (4000 mg/1), were easily accounted for in
the  resultant DO decrease.   The result from the K.a study produced the more
linear response  anticipated.   The percent return, however, is not  very high.
Again, this probably reflects  the relatively high oil and grease content of
the waste (400 mg/1).  The  solids and  chromium content had no distinguishable
effect on the response.

Meat Packing  Waste--
      This meat  packing  waste  came from a plant which did not reclaim blood
and fats.  The presence  of  the former  in the waste could account for the re-
latively small decrease  in  DO  level for large changes in loading.   Although
the BODwasabout 900 mg/1  (cf  the changes induced in the DO by a textile
waste with a  BOD of  800  mg/1)  there was inhibition possible from the high TDS
contribution  of  the  blood.  The presence of fats caused
return.  These results were reproduced in the KLa runs.

Chemical  Waste—                                           T1   nnn
      This waste  came from  the manufacture of pesticides.  The BOD value of
150 mg/1  was  a result of analyses with acclimated seed.  The COD is 2500 mg/1.
The increase  in  DO level upon  introduction of the shock was anticipated.  Im-
portantly,  the system was not  "knocked out" during the runs.  The  results
showed a steady  increase with  increasing percent shock load.  These values
                                     33

-------
were very reproducible also (Tables 7 and 8).

Electroplating Waste--
      The electroplating facility used in this test discharged negligible
BOD in their raw waste.  This is reflected in the sharp increase (cf response
to chemical waste) in DO upon shock loading.  Since the system exhibited an
excellent percent return, <(9635)it is assumed  that no permanent damage was in-
curred by  the viable biotnass even with the relatively high total chromium
content.

ON-SITE INVESTIGATIONS

      The BioMonitor was to be located at two joint wastewater treatment
plants.  Specific criteria had to be met by  those WWTPs selected.  It was re-
quired that the plants selected:

            • treat sanitary (municipal) sewage and industrial wastes
            • employ biological treatment -  preferably activated sludge
            • be in routine running form
            • experience possible upsets from a known industrial contribution
            • preferably have a flow < 10 MGD (so events could be sorted and
              analyzed for research purposes)
            • preferably have an industrial  contributor amenable to the posi-
              tioning of a companion BioMonitor at their discharge point
            • have analytical and operational data available.

Site Set One

Description of Joint Municipal/Industrial Wastewater Treatment Plant 1 and
the BioMonitor Setup--
      The  BioMonitor system was set up at an activated sludge-type wastewater
treatment  plant which is part of Metro Nashville's system.  The daily flow is
3 MGD (capacity, 6 MGD).  Figure 5  is a diagram of the wastewater treatment
facility.  The BioMonitor, set up in a newly designed enlarged "monitor" sta-
tion (see  Figure  6  ), was located on the "influent structure."  (See Figure
6 ) for relative location).  Figure 7  is a  picture of the BioMonitor on lo-
cation.  Flow time from its location to the  aeration basin was approximately
3 hours.

      At this point, the waste stream has been through preliminary screening
and the bar minutors (maximum solids size =  1").  Suspended solids still re-
mained a problem in that they tended to clog the pump tubing.  The screening
device shown in Figure 8  eliminated this problem.  The outside screen is
common aluminum house screening.  The interior screen is a stainless steel
mesh with openings of 0.004".  Since the waste flow was - 12 feet beneath the
influent structure the feed tubing was contained in a metal conduit and the
entire apparatus was weighted down because of the current and turbulence in
the flow.  Required maintenance, i.e., a hosing down to remove "caked" solids
was required approximately once every 10 days to 2 weeks.

      At this location, we were able to use  air from the blowers used to
aerate the treatment tanks.  (The biopopulation for the BioMonitor was taken

                                     34

-------
                                KEY
Number

  1
  2
  3
  4
  5
  6  -
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
              Component
    Pump Station
    BioMonitor (Influent Structure)
    Grit Removal
    Pre-Aeration
    Primary Clarifier
    Aeration Basin
    Final ClaHfier
    Chlorine Contact Chamber
    Sludge Digester
    Sludge Filtering Bldg.
    Blower Bldg.
    Contact Wing
    Operations Control  Bldg.
    Administration Bldg.
    Sludge Burial  Site
    Creek
Average  Retention/Flow Time
         15 min
         45 min
         1.8 hours
         6.2 hours
         1.8 hours
         45 min
Figure 5.   Diagram of wastewater  treatment  facility  - site 1
                                35

-------
          Door
         Hinge
co
          Door
         Hinge
Pump
n
                         Bio-
                         Monitor
    Chart
   tecorder

-------
o
 I
                                  Figure?.   BioMonitor on  Location  ••  Site  1

-------
               FEED TUBING
               PROTECTIVE CONDUIT
               TOP WOODEN SUPPORT
               INTERNAL FINE SCREEN
               EXTERNAL COARSE SCREENING

               EXIT PORT FOR FEED TUBING
               BOTTOM WOODEN SUPPORT
               CONDUIT PLUG
Figures-  Design of screening device.
               38

-------
                 ^ration  basins.)  The biopopulation increased in the Bio-
     laHtinVJi  tha* lev?]  held in the treatment plant's basin.  Due to
     If Jo *  ln/lo"»  the Plant maintains a comparatively low biomass (900
  i^ Ihl"      •  t0  P^ev?nt.ash1ng during periods of low flow (which occur
d i Mrn  In P  ;i912^  2umidnight - 8 am flow - 2 MGD; 8 am - 4 pm flow -
 Anc^ ; J P^ " I2 rtlldni9!?t flow ' 3 MGD).  In the BioMonitor, however, a
constant feed rate was applied.  Secondly, it should be noted that the plant
runs at a high  ambient  DO  in the aeration basins ( 7 mg/1 average) in order
to accommodate  daily high  BOD loadings discharged from a meat processing
plant.  Average daily influent BOD is approximately 150 mg/1.  Percent remov-
al is approximately  91%.   Suspended solids (SS) average 150 mg/1.  Percent
removal is approximately 90%.

Description of  Industrial  Plant Site 1 and BioMonitor Setup—
      The BioMonitor system was set up at a luncheon meat processing plant
which contributes  to the joint municipal system under study.  The waste is
composed of sanitary waste, floor washings (includes meats, fats, blood,
cleaning agents, disinfectants, etc.), process water and smoker ash slurry.
The industry pretreats  the discharge only to the extent of skimming off fats,
settling, and screening.   Weekday flow rates vary from less than 400 gpm to
above 800 gpm.  Weekend flow rates often drop below 100 gpm.  The average
total daily assessed flow  is 0.4 MGD.  This represents over 13% of the flow
to the wastewater  treatment plant described above.  It is the largest, single
contributor.  The  average  BOD is approximately 450 mg/1.  However, recent BOD
values have averaged approximately 325 mg/1.  The screening device shown in
Figure 9 was employed here, also.  The only difference was that it was smaller.
Due to the periods of low  flow it was necessary to install  a weir at the end
of the waste trough. The  minimum sampling depth was 4 inches.

     The feed to the BioMonitor was diluted 1:1 with tap water.  This was ne-
cessary because we wished  to maintain the same retention time in 'both Bio-
Monitor units and  the BOD  is too high in the industrial waste to permit a
100% flow at a  feed  rate of approximately 25 ml/min.  Feed and water rates
variedfrom 10 to 14 ml/min  each for a combined range of 24 to 28 ml/min.  The
biomass used in the  monitor system was taken from the wastewater treatment
plant described above.  Air to this unit was delivered from a portable com-
pressor.  Again, the DOwaskept at a high level in order to accommodate the
high shock loadings  routinely experienced from this plant.

Operational Procedures  and Data Collection--
      The maintenance schedule at both locations included daily calibration of
the DO probe to maintain accuracy of the results.  Solids were also taken and
subsequent necessary wasting performed to maintain desired levels at the
wastewater treatment plant.  Backwashing of the feed tubing with bleach fol-
lowed by water  was performed every week to keep the tubing clean and flow
rates constant   Since  oil and grease is a common constituent of the waste
from the meat processing plant, feed line coating was experienced.  Therefore,
routine maintenance  included  backwashing the feed tubing system with isopropyl
alcohol and/or  acetone  followed by excess water.  We have experienced no dif-
ficulties with  the dilution water system.  Appendix D contains the maintenance
procedures followed  at  the wastewater treatment plant and industrial sites.
Included also is the daily log maintenance sheet.  This level of maintenance

                                      39

-------
was higher for research purposes than that proposed during actual use.

      The wastewater treatment plant intermittently discharges the supernatant
and filtrate from the anaerobic sludge digester and centrifugal  filter direct-
ly into the water flow at the influent structure.   This is an anaerobic, zero
DO, contribution.  The discharge is manually controlled which enabled the
BioMonitor to be tested on intraplant discharges in the early stages of setup.

      Figure 9  is a graph of DO versus time obtained by a 24-hour run on the
BioMonitor.  Points 1 and 5 represent a decrease in the DO due to domestic
usage in the AM diurnal cycle.  Points 2 and 3 correspond to the intraplant
discharges described in the last paragraph.   The volume of anaerobic waste
discharged will vary.  Point 4 represents a  decrease in the DO due to the in-
flux of the meat processing industry's waste.  Range 6 reflects  the higher
DO normally found in the PM diurnal cycle due to lower usage and temperatures.
Points 2, 3, and 4 coordinate well  with known (recorded) times of discharge.
The record of ambient DO is obtained at a rate of 7.5 inches of  chart paper
per hour and must be manually reduced to the more usual display  presented in
Figure 10  .  Figures  10  and  11 are a set of early graphs of the DO levels at
the industrial  site and wastewater treatment plant, respectively.  These
graphs represent the same date and time period.  The sharp decrease in DO
level experienced at the meat processing plant begins at approximately 6:00
a.m.  It was first seen in the wastewater treatment plant BioMonitor at ap-
proximately 7:30 a.m. (beginning of DO sag).  The steady increase in DO from
about 11:00 p.m. (inFigurell  ) reflects p.m. diurnal  cycle of  low tempera-
tures and usage.  The decrease at approximately 1:30 a.m. most likely corres-
ponds to the intraplant discharge of anaerobic filtrate/supernatant from the
digester.  Figure fti'from the meat processing plant indicates some plant dis-
charge at approximately midnight with the DO leveling off until  the large
6:00 a.m. shock.  The second shift at the plant comes on duty at midnight.
The sanitation (or clean up) crew is on duty between 10:30 p.m.  and 7:00 a.m.

      Tables 13 and 14 give the operating parameters for the two companion
BioMonitors at the wastewater treatment plant and industrial  site, respective-
ly.  Effort was extended to run the systems  as similarly as possible.  Consid-
eration was also afforded to the WWTP's operating procedure.   Whenever possi-
ble the operating parameters of the WWTP were employed in the operation of
the BioMonitor.

      These operating parameters represent the culmination of efforts to es-
tablish the BioMonitor  as  a steady, routinely operating system.  Following
this period of troubleshooting the system, a period of intensive data collec-
tion was provided at both sites.  Appendix D contains the sampling routines
for both sites.  Appendix E contains the complete set of results (graphically)
of this data collection period.  Two periods of intensive data collection
were planned.  These periods were each 5 days long and each day of the week
was included at least once.  At these times, 24-hour surveillance was main-
tained at both sites.  Composite (every 20 minutes for an hour)  samples were
gathered manually.  When the recorder indicated a change in DO level, grab
samples were taken.  Samples were collected from the influents to the Bio-
Monitor at both the meat processing plant and at the wastewater treatment


                                      40

-------
Q_
CL
    9.0


    8.0


    7.0


    ao


    5.0
8   4.0
    3.0
    2.0
1,5 A.M. DIURNAL CYCLE
   (DOMESTIC USAGE)

2,3 INTRA-PLANT DISCHARGE

 4 INDUSTRIAL DISCHARGE

 6 P.M. DIURNAL CYCLE
                                          I2:40A.M. -*• 7:40 A.M.
                                                  (§)	
                         6     8    10    12     14  _   16    18

                             TIME, HOURS  (t*0 @v 10:40A.M.)
20    22
                                                                      24
             Figure  9 .   Preliminary  graph  -  BioMonitor  response  -  joint
                         wastewater treatment plant  - site 1.

-------
-p.
ro
            O.
            Q_
               9.0




               8.0




               7.0




               6.0




               5.0
            §  4.0
               3.0
               2.0
               1.0
"I2NOO
                                   M2-MIDNITE
                                                        6AM
                                                                                      ~1IAM
                         i   I   I   i   I
                         i   i   i   i   I   I   I   I   I
I   i   I   I   i   i  i
I
                        234  5  6   7  8  9  10  II  12 13  14 15 16 17 18 19 20 21 22 23 24 25

                                                 TIME, HOURS
                           Figure 10 .   DO vs time (industrial site 1).

-------
                                              9-12-76 to 9-13-76
                                               ~6AM
                                                                ~IIAM
i   t   I   i   I   t   t   i   i   I   i   i   I   l   I   i   i   i   I   i   I   I   I   I   I
I   2  3  4   5  6  7  8  9  10  II  12  13  14  15  16  17  18  19 20  21 22 23 24 25
                          TIME.  HOURS
     Figure 11 .   DO vs time (wastewater treatment plant - site  1).

-------
plant.  Additional samples similarly composited over one hour were taken from
the final effluent of the wastewater treatment plant.  Oxygen uptakes were
performed hourly on the biomass from one of the aeration basins at the waste-
water treatment plant.  A recording pH meter continuously monitored the pH
of the influent to the system at the meat processing plant.   The presence of
cleaning agents are known to cause wide fluctuations of pH in the waste.
Acidified and filtered TOC analyses were run on the composite and grab samples,
This study was performed to determine any correlations among variations in
loading in the specific plant's effluent quality and the response of the Bio-
Monitor.

                TABLE 13.  OPERATION PARAMETERS: WASTEWATER
                           TREATMENT PLANT SITE
 	Parameter	            Average Value

 Solids, main reactor, MLSS, mg/1                 1500
                       MLVSS*, mg/1               1300

 Feed flow, ml/min                                  25

 Return flow**,  ml/min                           65-70

 Baseline DO, side car, ppm                          4

 Main reactor retention time, hrs                  6,5

 Side car, retention time, minutes                 5.5


  *MLVSS in the contact chamber avg approximately 80% of those in main reactor
 **Return flow is defined as flow from the top exit port of the side car back
   into the main reactor

              TABLE 14.  OPERATION PARAMETERS: INDUSTRIAL SITE
            Parameter                                   Value
 Solids, main reactor, MLSS, mg/1                        2000
                       MLVSS*, mg/1                      1800

 Feed flow, ml/min                                         13

 Dilution flow, ml/min                                     13

 Return flow**, ml/min                                     80

 Baseline DO, side car, ppm                                 3

 Main reactor retention time, hrs                         6.5

 Side car retention time, minutes                           5
                                      44

-------
  *MLVSS in contact chamber avg approximately 80% of those in main reactor
 **Return flow is defined as flow from the top exit port of the side car back
   into the main reactor.

This data can be seen in Appendix E.  Data from the meat processing industry
will help substantiate the preliminary data on lag times, degree of DO de-
cline and also indicate a possible source and extent of a high BOD loading.
The correlation of the change in influent TOC to change in DO was demonstra-
ted.

      The DO and TOC values from the same sampling point are drawn on the
same graph so response and correlation can be visually assessed.  The varia-
tions in the TOC graphs are exaggerated because they are plotted from hourly
composites.  The DO graphs vary more smoothly since they reflect continuous
monitoring.  Temperatures are listed periodically on the X-axis.  This indi-
cates the direction of thermal influence on the observed trends in DO level.

      The following conclusions were drawn from this data:

            • There is generally good correlation between TOC values and DO
              at both the industrial and WWTP sites.  The industrial response,
              by the nature of the discharge, is the more dramatic.
            • Evaluation of WWTP influent/effluent TOC values indicate a
              range of flow times ranging from 5 to 10 hours.  This is in
              agreement with plant design and known variations in flow.  The
              TOC values obtained in our study (plant influent and effluent)
              are consistently higher than those reported by the metropolitan
              government.
            • The average TOC required to change the DO level one (1) mg/1
              at the industrial BioMonitor is 496 ± 33 mg/1.  Evaluation of
              this TOC requirement at the WWTP lead to the discovery of two
              distinct influents.  Specifically, there is one waste that has
              a value of 70.2 ± 11% mg/1 TOC for a 1 mg/1 change in DO and a
              second waste with a value of 175 ± 22% mg/1 TOC.  The proba-
              bility that these groups of values result from an actual dif-
              ference in the influent is greater than 99.5%.
            • The sewer flow time from one BioMonitor to the second unit ran-
              ged from 1.5 to 3 hours as measured by peaks in DO.  This again
              agrees well with the unreported Metro time of flow studies of
              2 to 3 hours.
            • The early afternoon TOC peak at the industrial site appears to
              be production intensive (i.e., which products are being pre-
              pared).  It routinely appears but has more variation in its
              peak time than the midnight or 6 a.m. peaks.  The decrease in
              activity at the plant on Sunday is clearly seen.  A somewhat
              different profile can also be seen at the WWTP on weekends.

Site Set Two

Description of Joint Municipal/Industrial Wastewater Treatment Plant 2 and
BioMonitor Setup—
                                      45

-------
      The second municipal site is also a Metro Nashville Wastewater Treat-
ment facility which employs activated sludge for biological treatment.  It is
a new plant (operating for approximately 1 year at the time of this investiga-
tion) with a design hydraulic load of 25 MGD.  Current flow is approximately
10-12 MGD.  Figure 12 is a diagram of the facility.  The BioMonitor station
was located on the channel after the grit removal structure (see location on
Figure 13 ).  Figures 13 and 14 are pictures of the BioMonitor setup at this
site.  Because of colder weather conditions a heat lamp was installed in the
monitor station to prevent system freezing.  The main problem was freezing
of the effluent line after it left the protection of the station.  It appear-
ed the influent raw waste was sufficiently warm to prevent influent line
freezing.

      The influent solids level at this municipal site was higher than that
encountered at the first municipal site.  The problem of feedline clogging
was continuously encountered with the screening system employed at site one.
Therefore, a different screening device was required.  Figure 15 is a dia-
gram of  the new device.  Figure 16 gives an actual perspective of the screen-
ing device in use.  All other aspects of the setup were identical to those
used at  the first wastewater treatment plant.

      The average operating parameters of this second WWTP are given in Table
15.  Sludge from primary and secondary treatment is piped to the Metro Central
facilities where it is combined with Central's waste and incinerated.

Description of Industrial Site 2 and BioMonitor Setup--
      The second industrial site was an industry which manufactured project-
iles for 106 millimeter shells.  The wastewater included heavy metals, pro-
prietary cleaning and wetting agents (TOC source) and acids (e.g., chromic,
phosphoric).  The wastewater analysis used for sewerage charges is given in
Table 16.  Although the TOC concentration was significant, the.BOD averaged
less than 30 mg/1.  Therefore, the plant's waste stream feed was diluted 1:1
with a milk solution before entering the BioMonitor.  The milk created an
F/M of approximately 0.25.  The screening device was similar to the one de-
scribed  in Figure 8.  Because of minimal solids problem and nonturbulent flow
in the waste trough, only one screen (the fine mesh one) was required.

     The plant was run on two shifts and operated from approximately 6 a.m.
to 11 p.m. (when it is locked up), 5 days per week.  The plant was closed
weekends.  Other work is performed at this location but the resultant aqueous
waste streams are small and segregated.  It was not anticipated that the
variations observed via BioMonitor readings would be identifiable at the WWTP.
It was possible, however, due to the toxic nature of various waste stream
constituents, that a singularly large spill, etc., could impact the WWTP ad-
versely.  This did not occur during the monitoring period.

Operational Procedures and Data Collection--
      The two companion BioMonitors were stabilized in their new locations.
When daily results indicated a properly functioning system „ another intensive
 data collection  period was begun.   Operating parameters  were similar to these
 given  in Tables  13  and 14,
                                      46

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                                                        fiiiir NEUOVM.
Figure 12.  Wastewater treatment facility - site 2.

-------

Figure 13.  Photograph  of  BioMonitor  at Wastewater
             Treatment  Plant  -  Site 2

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Figure 14..  Close-up of BioMonitor at Wastewater
             Treatment Plant -  Site 2

-------
          fine screening
                           coarse screening
                                                          submersion
                                                          level
                                                         wastewater
                                                         flow
                                                         plywood
                                                         sides
Frame: 2" x 2" and 2" x 4" construction
Suspended by ropes into wastewater to level indicated
Intake tubing suspended between section defined by fine screening
Entire screen stabilized in wastewater flow by 15 Ib weight
  attached to bottom
         Figure T5.   Modified screening device.  .
                                 50

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Figure 15.   Photograph of Modified Screening Device

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       TABLE 15-  DESIGN AND OPERATING PARAMETERS -
               WASTEWATER TREATMENT PLANT 2

Parameter
Flow, MGD
Influent suspended solids, mg/1
% Removal
Influent BOD, mg/1
% Removal
Design Value
25
300
97
350
97
Operating Value
7.8 - 9.5
88
91
102
95

              TABLE 16.  INDUSTRIAL SITE 2 -
               WASTEWATER CHARACTERISTICS*
     Constituent                Concentration (mg/1)
BOD5                                   23
Suspended Solids                       69
Grease                                 24
Chromium                               0.03
Copper                                 0.03
Zinc                                   0.45
Iron                                   82.5
Nickel                                 40.0
*Source - Metropolitan Government analysis for municipal
          sewer discharge.
                            52

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      A 3-day around-the-clock test period was conducted.  Maintenance and
sampling routines were identical to those described in Appendix D.  Addition-
al samples were taken at the industrial site for metal analysis.  As indicat-
ed previously, it was not anticipated that under "normal operating" conditions
this industrial waste source would identifiably impact the municipal site.
However, this afforded the opportunity to study a problem very different from
that created by the first industrial site.  The heavy metal content of the
waste was analyzed in an effort to correlate variations in DO with variations
in the metal concentration.  The metals investigated were iron, zinc, total
chromium and copper.  Tests were run for nickel.  Trace amounts, less than
0.01 mg/1 were detected.  Similarly, tests for lead concentrations were less
than 0.1 mg/1.  All metals analyzed were run on the acidified aqueous samples
using atomic absorption spectrophotometry with an acetylene/air flame.

      Appendix F contains the graphical representation of the data amassed
over this 3-day period.  Again, corresponding DO and TOC curves are drawn on
the same graph to facilitate the evaluation of correlation.  The following
conclusions can be drawn from the review of this data:

            • The second WWTP was a larger treatment facility with more and
              varied contributing industries.  The overlaying of DO and TOC
              curves show the BioMonitor picks up the overall trend in TOC
              variation very well.  Since the system did exhibit sufficient
              sensitivity at site.l, it can be assumed that no significant
              shock occurred at WWTP 2 during the surveillance period.  The
              larger the WWTP facility the more of an equalizing effect
              experienced.
            • The heavy metals monitored exhibited similarly shaped curves,
              with the possible exception of copper.  Zinc was  the highest
              average concentration followed by iron.  There was also a simi-
              larity between the shape of the metals'curves and the corres-
              ponding TOC curves.
            • The corresponding DO and TOC curves at the industrial site do
              not present as dramatic a profile as obtained from site 1 tests.
              The biomass in the BioMonitor could have been continuously in-
              hibited by various small slugs of metals, acids, and propriet-
              ary organics.  Again, overall trends of TOC increase and DO de-
              crease (and the reverse relationship) are exhibited.

      Efforts to substantiate these assumptions were made.  The BioMonitor
was shock loaded with a high concentration of chromic acid.  The system re-
sponded  immediately.  The resultant curve was smooth and showed a continuous
increase in DO over an extended period.
                                      53

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                                 REFERENCES

 1.  Green, M.B.; Willetts, D.6.; Bennett, M.; Crowther, R.F.; and Bourton,
     J., "Applications of Toxicity Testing to Sewage Treatment Processes,"
     Water Poll. Control, 74, p. 40 (1975).

 2.  Patterson, J.W.; Brezonik, P.L.; and Putnam, H.D., "Sludge Activity
     Parameters and Their Application to Toxicity Measurements and Activated
     Sludge," Proceedings of the 24th Ind. Waste Conf., Purdue University,
     p. 127 (1969).

 3.  Jackson, S. and Brown, V.M., "Effects of Toxic Wastes on Treatment Pro-
     cesses and Watercourses," Water Poll. Control, 69, 292 (1970).

 4.  Delaney, L.H., "Detection of Industrial Wastes in  Municipal  Systems,"
     Jour. Water Poll. Control Fed., 42, 645 (1970).

 5.  Cairns, J.; Sparks, R.E.; and Waller, W.T., "The Design of a Continuous
     Flow Biological Early Warning System for Industrial Use," Proceedings
     of the 27th Ind. Waste Conf., Purdue Univ., p. 242 (1972).

 6.  Advertising Circular, Polymetron, Division of Uster Corp., Bioomall,
     PA, 1976.

 7.  Sletten, 0., and Burbank, N.C., "A Respirometric Screening Test for
     Toxic Substances," Proceedings of 27th Ind. Waste  Conf., Purdue Univ.,
     pp 24-32 (1972).

 8.  "Self Contained Sampling and Measurement System Features Respirometer,"
     Water and Sewage Works, 121, 2, 53 (1974).

 9.  Official Gazette of the U.S. Patent Office, Vol. 910, #2, p. 463,
     Patent No. 3731522, May 8, 1973.

10.  "Continuous Determination of the Toxicity of Water, Wastewater, and
     Other Liquids, Using Microorganisms," French Patent No. 2,228,407(1974).

11.  U.S. Environmental Protection Agency, Office of Research and Develop-
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     Automation," Environmental Protection Technology Series, EPA-660/2-75-
     021 (1975).

12.  Arthur, R.M., "The On-Line Respirometer and Its Use in Operation Control
     to Save Energy and Reduce Cost," 49th Annual Conf., WPCF, Minneapolis,
     Minn. (Oct., 1976).


                                     54

-------
13.  Blok, J., "Respirometric Measurements on Activated Sludge," Water Res.,
     8,11 (1974).

14.  Blok, J., "Measurements of the Viable Biomass Concentration in Activated
     Sludge by Respirometric Techniques," Water Res., Vol. 10, pp 919-925
     (1976).

15.  Eckenfelder, W.W., Water Quality Engineering for Practicing Engineers,
     Barnes & noble, Inc., New York (1970).

16.  Coackley, P., and O'Neill, J., "Sludge Activity and Full-Scale Plant
     Control," Water Poll. Control, 74, 404 (1975).

17.  Weddle, C.L., and Jenkins, D., "The Viability and Activity of Activated
     Sludge," Water Res., 5, 621 (1971).

18.  Genetelli, E.J., "DNA and Nitrogen Relationships in Bulking Activated
     Sludge," J. Water Poll. Cont. Fed., 39, R32-44 (1967).

19.  Standard Methods for the Examination of Water and Wastewater, 13th Ed.,
     Amer. Pub. Health Assn., Washington, D.C. (1971).

20.  Arthur, R.M., and Hursta, W.N., "Short Term BOD Using the Automatic
     Respirometer," Proc. of the 23rd Ind. Waste Conf., Purdue Univ., 242
     (1968).

21.  Mancy, K.H., Instrumental Analysis for Water Pollution Control. Ann
     Arbor Science Pub. Inc., Ann Arbor, Michigan (1975).

22.  Patterson, J.W.; Brezonik, P.L.; and Putnam, H.D., "Measurement and
     Significance of Adenosine Triphosphate in Activated Sludge," Environ.
     Sci. and Techno!.t 4, 569 (1970).

23.  Brezonik, P.L., and Patterson, J.W., "Activated Sludge ATP:  Effects of
     Environmental Stress," Jour. San. Eng. Div., Proc. Amer. Soc. Civil
     Engr., 97, SA6, 813 (1971).

24.  Holm-Hansen, 0., and Paerl, H.W., "The Applicability of ATP Determina-
     tion for Estimation of Microbial Biomass and Metabolic Activity," Proc.
     IBP-UNESCO Symp. on Detritus and Its Role in Aquatic Ecosystems,
     Pallanza, Italy (May 23-27, 1972).

25.  Chiu, S.Y.; Kao, I.C.; Erickson, L.W.; and Fan, L.T., "ATP Pools in
     Activated Sludge," J. Water Poll. Cont. Fed., 45, 1746-1758 (1973).

26.  Upadhyaya, A.K., and Eckenfelder, W.W., Jr., "Biodegradable Fraction as
     an Activity Parameter of Activated Sludge," Water Res., 9, 691 (1975).

27.  Lenhard, G.; Nourse, L.D., and Schwartz, H.M, "The Measurement of Dehy-
     drogenase Activity of Activated Sludges," Proc. 2nd Int'l Conf. Water
     Poll. Res., Tokyo, Japan (1964).
                                      55

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28.  Bucksteeg, W., "Determination of Sludge Activity:  A Possibility of
     Controlling Activated Sludge Plants," Proc. 3rd Int'l Conf. Water Poll.
     Res., Munich, Germany (1966).

29.  Ford, D.L.; Yang, J.T.; and Eckenfelder, W.W., Jr., "Dehydrogenase En-
     zyme as a Parameter of Activated Sludge Activities," Proc. of 21st Ind.
     Waste Conf., Purdue Univ., 534 (1966).

30.  Ryssov-Nielsen,H., "Measurement of the Inhibition of Respiration in Ac-
     tivated Sludge by a Modified Determination of the TTC-Dehydrogenase
     Activity," Water Res., Vol. 9, pp 1179-1185 (1975).

31.  Klapwijk, A.; Drent, J.; and Sternvoorden, J.H.A.M., "A Modified Proce-
     dure for the TTC-Dehydrogenase Test in Activated Sludge," Water Res.,
     8, 121 (1974).

32.  Jones, P.M., and Prasad, D., "The Use of Tetrazolium Salts as a Measure
     of Sludge Activity," Journ. Water Poll. Control Fed., 41, R441 (1969).

33.  Vaicum, L., and Eminovici, A., "The Effect of Trinitro-Phenol and y-
     Hexachlorocyclohexane on the Biochemical Characteristics of Activated
     Sludge," Water Res., 8, 1007 (1974).

34.  Sulzer, F., and Westgarth, W., "Continuous DO Recording in Activated
     Sludge," Water and Sew. Works, 109, 10, 376 (1962).

35.  Albertson. O.E., and DiGregorio, D., "Biologically Mediated Inconsis-
     tancies in Aeration Equipment Performance," Jour. Water Poll. Control
     Fed., 47, 976 (1975).

36.  Young, B.A., "Development and Evaluation of a Continuous Monitor for a
     Biological Wastewater Treatment System," Master's Thesis, Vanderbilt
     University, Nashville, Tennessee (1976).

37.  Hartman, L., and Laubenburger, G., "Toxicity Measurements in Activated
     Sludge," Jour. San. Eng. Div., Proc. Amer. Soc. Civil Engr., 94, SA2,
     247  (1968).

38.  Gaudy, A.F., Jr., and Turner, B.C., "Effect of Air Flow Rate on Re-
     sponse of Activated Sludge to Qualitative Shock Loading," Proc. 17th
     Ind. Waste Conf., Purdue Univ., 136 (1962).

39.  Arthur, R.M., "An Automated BOD Respirometer," Proc. 19th Ind. Waste
     Conf., Purdue Univ., 628 (1964).

40.  Simpson, J.R., and Nellist, G.R., "Development and Use of a Large-
     Volume Automatic Respirometer," Waster Poll. Control, 69, 596 (1970).

41.  Advertising Circular, Robertshaw Controls Co., Model 970, Richmond,
     VA (1974).
                                    56

-------
42.  Eckenfelder, W.W., and Ford, D.L., Water Pollution Control, Pemberton
     Press (1970).

43.  Kalinske, A.A., "Effect of Dissolved Oxygen and Substrate Concentration
     on the Uptake Rate of Microbial Suspensions," Jour. Water Poll.  Control
     Fed., 43, 73 (1971).

44-  Duggan, J.B., and Cleasby, J.L., "Effect of Variable Loading on  Oxygen
     Uptake," JWPCF, Vol. 48, No. 3, pp 540-550 (1976).
                                    57

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                                APPENDIX A

                 DEVELOPMENT OF A CONTINUOUS RESPIROMETER
     As discussed in Section 5, DO/oxygen uptake was the parameter selected
for use in the biological  simulation monitor.   A preliminary system,  a con-
tinuous oxygen uptake meter or continuous respirometer, was developed to test
preliminary concepts and evaluate the rapidity and reliability of response.
As reviewed in the introduction, several  continuous and semi-continuous res-
pi rometers have been developed.  Although some systems offer good sensitivi-
ty, other aspects render them unsuited for this project.  Below is a  descrip-
tion of the continuous respirometer developed  for this work.


DESCRIPTION OF THE CONTINUOUS RESPIROMETER

     The respirometer basically is a 10 liter  plexiglas laboratory activated
sludge unit with a one-liter (adjustable volume), air tight side car  (see1
Figure A-l).  A variable speed pump brings mixed liquor from the aeration
basin to the side car.  Retention time in the  side car can be varied  not only
by changing the pump delivery rate but also by adjusting the volume of the
side car.  The 5-inch diameter plexiglas cylinder which constitutes the side
car is outfitted with exit ports at the 1, 1.5, 2 and 2.5 liter levels.  The
side car is made air tight by a floating plexiglas disc cover.  This  disc is
fitted with a DO probe which extends approximately 4 cm into the liquor.  A
probe  continuously monitors the DO level in the side car.  A magnetic stirr-
er, set to create minimal  vortexing, maintains a completely mixed system in
the side car.  The overflow returns to the aeration basin by gravity  through
the selected port.

     The feed enters directly into the activated sludge unit and is complete-
ly mixed.  The aeration basin retention time can also be varied.  Similarly,
the MLVSS, DO and temperature can be controlled to the desired conditions.
The laboratory operating parameters are listed in Table A-l.

     After testing various aeration devices, we selected a commercially a-
vailable aerator sold to aerate fish tanks and aquaria.  It is a permanent
(cf air stones) hollow tube of plastic material which is porous throughout
its length.*
     *"Bubble Wand," Marine and Aquarium Products, Division of Aquaria, Inc.
15800 Armenta Street, Van Nuys, California  91406.

                                       58

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10
                                                         DO
                                                       METER
           AIR
          SOURCE
:=Sf
                  AIR FLOW
                 REGULATOR
                                                             RECORDER
                                                  RECORDER
                                                                     FEED
                                                                     PUMP
                                           ADJUSTABLE
                                            BAFFLE
                                                                CLARIFIER
                             AERATION
                               DEVICE
                                               EFFLUENT
                                                                                 FEED
                        Figure A-l.  Schematic of the continuous  respirometer.

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It did not exhibit the tendency towards rapid clogging as did sintered glass
spargers.  The sintered glass also was difficult to clean.  The tubing is
readily available, inexpensive and therefore disposable.  However, the tubing
can be readily cleaned and reused.  The tubing is cleaned by scraping the sur-
face with a razor edge followed by an aqueous rinse.  The tubing can be cut
to any length.  It can also be slightly formed to fit into curved spaces.
Bubble size was small and well patterned - to effect good mixing in the aera-
tion basin and rolling action for clarifier recycle.  Figure A- 2 is a photo-
graph of the laboratory setup.

     The oxygen source for the laboratory studies was compressed house air.
The flow was regulated by a hospital-type oxygen flow regulator with a back
pressure of 50 psi.  The type employed ranged from 0-7 liters/minute.  The
regulators gave very accurate results when checked against a wet test meter.
The oxygen flow meters also proved to be very durable and delivered a well
regulated flow.  Such regulators are easily read, readily available and
comparatively inexpensive.

	TABLE A-l.  LABORATORY OPERATING PARAMETERS	


            Parameter                           Value
     Retention time - side car                10 minutes

     Retention volume -side car               1  liter

     Retention time - aeration basin          6 hours

     MLSS, aeration basin           ,          3000 mg/1
                                                        V
     MLVSS, aeration basin                    2500 mg/1

     Temperature                              20°C

     pH                                       5 - 7

     Feed flow                                15 ml/min



     The pumps employed were either laboratory solution metering or positive
displacement.


CHARACTERIZATION OF THE CONTINUOUS RESPIROMETER

Preliminary Work

     Three continuous respirometers were set up.  In a 5-day run, the F/M
ratio of the feed varied every 24 hours in units 1 and 3 according to the
pattern:
                                     60

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Figure A-2.   Photograph of Continuous  Respirometer

-------
            Day        1        2        3        4        5

            F/M       0.3 +    0.6 -»•    0.3 -*•    0.1 +    0.3

(This 5-day test was repeated the following week.)  F/M is the "food-to-micro-
organism" ratio.  It is defined mathematically as follows in Equation (A-l):
            F/M « 24 S /t Xv                                     (A-l)
where:
     SQ is the BOD concentration of the feed (substrate) in mg/1

      t is the retention time in hours

     Xy is the concentration'of biomass (MLVSS) in mg/1.

The factor of 24 (hours/day) converts hours into days so that F/M has units
of inverse days.

     F/M change was effected by varying the concentration of commercial pow-
dered evaporated skim milk and dibasic ammonium phosphate (NH.)^ HPO^ Us an
an additional nitrogen and phosphorus source). The operating parameters em-
ployed are given in the previous section.  The DO levels in the side-car and
basins were continuously monitored and recorded.  The F/M ratio was maintain-
ed in unit 2 at 0.3 throughout the 5-day run as a control.

     The DO levels-in both the aeration basins and side cars varied noticeably
within the first 60 minutes of the F/M change.  As expected with healthy
biological systems the DO increased when the F/M ratio decreased and decreas-
ed when this ratio increased.  A comparison of the sensitivity, i,.e.» rate of
change of DO in the side car and in the aeration basin, was made.  Prelimi-
nary results indicated that changes in the side car DO level averaged 1 1/2
to 2 times more sensitive to changes in F/M during the first 60 minutes than
the DO level changes in the aeration basins.  This was substantiated by 21
additional short-term runs where the F/M value in influent varied approxi-
mately every two hours.  The sensitivities were evaluated according to
Equation (A-2).  The time, t., was evaluated from 0 through 60 minutes at 5
minute intervals.                 .

     s . (d[o2]/dt)tl., Slde car//(d[o2]/dt)tii aerat1on basin   (fl.2)

     The rate of change in DO was obtained by curve fitting the strip chart
graph (0-60 minutes) to a second order polynomial using a least squares anal-
ysis.  Correlation coefficients for the resulting equation were greater than
0.9800.  See Figure A-3  for representative curves of DO versus time for the
aeration basin and side car.

     The DO meters and probes were YSI of Ohio instruments.

     In this preliminary work additional parameters were run in an effort to


                                     62

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            F/M 0.3-** 0.6
DO,

mg/l
6.0





5.0





4.0





3.0
   i




2.0






1.0
                      1
               10    20     30    40    50


                        TIME, MINUTES
 AERATION

   BASIN
60
           Figure A-3.  Representative curves - DO vs time -
                        preliminary study.
                               63

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corroborate the results obtained from the continuous respirometer.  These
analyses included:  triphenyltetrazolium chloride (TTC); total organic car-
bon (TOC); and adenosine triphosphate (ATP)(blended samples).  The TOC was
run according to Standard Methods (A-l) using acidification to eliminate in-
organic carbon.  The TTC analysis was performed according to the test proce-
dure proposed by Lenhard  et al. (A-2) and modified by Ford et al. (A-3).
The ATP analysis was performed according to the modified test procedure of
Upadhyaya (A-4).

     The sampling program employed is listed in Table A-2.  Samples were grab
samples from the aeration basin.  System configuration precluded obtaining
meaningful samples from the side car.

	TABLE A-2.  SAMPLING ROUTING - PRELIMINARY WORK	


     Sample      Time,
     Number      Minutes                        Comments       	
       1           0                   Before shock* was introduced-represen-
                                         ted value of previous 24-hour period
2 15
3 30
4 45
5 60
6 90
7 120
After introduction of shock
After introduction of shock
After introduction of shock
After introduction of shock
After introduction of shock
After introduction of shock

       *Controlled F/M change.

     The continuous DO readings in both the side car and aeration basin ex-
hibited the correct changes for the variations in the feed.  The sampling
did not interfere with these readings.

Results of TTC Analyses—
     The curves resulting from the daily analysis of the seven samples exhi-
bited similar but inconclusive behavior.  Approximately forty-five to sixty
minutes after the shock was introduced a decrease in TTC was noted.  This oc-
curred whether the F/M ratio was increased or decreased.  Overall curve
shapes are similar.  Figure A-4  shows representative TTC curves.  By the
seventh sample, two hours after introduction of the shock, the TTC value is
approaching its initial value.

     There was a correlation between the TTC value obtained from sample 1
(t * 0) and the ambient, steady state F/M level.  See Table A-3 for the re-
sults.

                                     64

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   1.000




   .900




   .800




   .700




o  .600

h-


jB  .500
o



   .400




   .300




   .200




   .100
                                 (F/MO.6-^0.3)
                                (F/M 0.3-^0.6)
I
              I
                               _L
I
L
I
  20    40    60,   80   100   120   140

              TIME, MINUTES
Figure A-4.  Representative TTC curves.
                  65

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TABLE A-3.
Run No. Ambient F/M
I 0.3
0.1
0.3
0.6
II 0.3
0.1
0.3
0.6
RESULTS OF TTC
TTC, y moles
0.478
0.442
0.531
0.961
0.362
0.304
0.391
0.846
ANAI YSFS
/'TTC, u moles/ . ^
( mg/1 MLVSS x I0y
1.42
1.48
1.73
2.94
1.10
1.15*
1.45
3.00

       *Wasted solids, 20% reduction MLVSS level.

     Although these TTC analyses do reflect the difference in influent sub-
strate, the time of response appears to be on the  order of 24 hours.   The two-
hour sampling period following the introduction of the shock did not  provide
sufficient differentiation.

Results of TOC Analyses—
     TOC analyses were performed on aliquots of the same sample's analyzed for
TTC and ATP.  Again, no early differentiation of feed loading was seen with-
in the two-hour sampling period.  The total influent at the new F/M loading
contributed a maximum 10% of the total volume of the system at the 2-hour
mark.  Differences which correlated well with the  steady state F/M level  were
obtained 24 hours later from analysis sample 1.  See Table A-4 for the resu-
lts of the TOC analyses.

                    TABLE A-4.  RESULTS OF TOC ANALYSES

Run No. Ambient F/M
I 0.3
0.1
0.3
0.6
II 0.3
0.1
TOC, mg/1
77.3
58.7
63.0
80.6
68.1
60.4
(continued)
                                     66

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                         TABLE  A-4  (continued)
                              *»^^4lhi«MHMkM

                                0.3

                                0.6                    71.2
results of ATP Analyses--
     A third aliquot of the samples was analyzed for changes in ATP content.
Procedural problems precluded any meaningful data being obtained from this
analysis.  In consideration of the conclusions of the literature review of
ATP, no additional effort was made to repeat the 5-day runs to obtain mean-
ingful ATP data.

     At this juncture it was concluded that the continuous respirometer
equipped with DO probes provided a rapid and predictable indicator of micro-
organism activity.  The next step was to specifically characterize the sy-
stem's response and reproducibility.  This is discussed in detail in the
next section.

Characterization Study

     The following experiment was designed to obtain the quantifying informa-
tion on the continuous respirometer:

            • Simultaneous data was obtained from both the side car and the
              aeration basin.
            • All runs were performed at least twice.
            • The system was in a steady state at F/M - 0.3.  The steady
              state was evidenced by monitoring a steady DO level (£0.02
              mg/1 average DO variation in a 12 minute period).  Ambient DO
              levels were maintained as similar as possible between systems
              and within the same system from day to day.
            [ A shock, changing the F/M, was applied for one hour, and the re-
              sulting change in DO was monitored continuously.
            • The system was returned to an F/M of 0.3 and continuously moni-
              tored for one hour.
            • A reading was taken two hours after the 0.3 F/M feed was re-
              applied.
            • A period of not less than two additional hours was provided at
              an F/M of 0.3 for system stabilization.
            ' A second run at a different F/M shock was then performed in a
              similar manner.  F/M levels used were 0.1, 0.2, 0.3, 0.4 and
              0.5
            ' Simultaneously (and analogously) two other BioMonitor systems
              were run at steady state F/M's of 0.1 and 0.5.  Their responses
              to the shock loads were monitored.

     This experiment was designed to determine the reproducibility of the
systemic change to a repeated shock loading; correlation of response to
shock size; return to pre-shock stability after shock removal; and overall
reliability.  Chemical oxygen demand (COD) analyses were performed along with
the DO monitoring.  The COD tests were run according to Standard Methods  (19),
                                     67 '

-------
             TABLE A-5.  RESULTS OF INTER-SYSTEMS COMPARISONS
                               Aeration Basin            Side Car
      Baseline F/M	    JU   JT3   JET      0.1    0.3    0.5

Average change in DO (ADO/
AT, mg/l/hr) for 0.1 change   0.54   0.37   0.16     0.68   0.49   0.12
in F/M

Average change in DO per
cone., MLVSS (ADO/AT/MLVSS,   . n     97    nfi      qq    ?1    04
mg/1/hr/MLVSS/mg/l) for         u     ^J    u<0
0.1 change in F/M x 10"

Average time to notice a
change of DO of 1.0 mg/1      3.8     5.4    7.6      3.7    7.7    7.9
in minutes

Average % return to
original DO level 2 hours      96      95     96       87     90     79
after removal of shock

Average absolute value of
difference from DO level      Q 2     n A    n 9      04    02    01
2 hours after removal
of shock, mg/1
                   TABLE A-6.  CORRELATION COEFFICIENTS

                                           Correlation Coefficients
                 Function                      for 1st order fit
      ADO/At, mg/l/hr vs A F/M units

          Aeration Basin                          0.989

          Side Car                                0.995


      ADO/At, mg/l/hr/mg/1 MLVSS vs
        AF/M units

          Aeration Basin                          0.992

          Side Car                                0.995
                                 68

-------
                          TABLE A-7.   RESULTS  FROM  COD  EXPERIMENTS*
Run
F/M Change
Before AM Shock
After AM Shock
End of AM Run
CT»
F/M Change
Before PM Shock
After PM Shock
End of PM Run
I
0.1+0.3
2117
2510
2448
0.1+0.5
2462
2266
2388
II
0.3+0.1
2422
2520
2492
0.3+0.5
2206
2794
2358
III
0.5+0.3
3457
3273
3572
0.5+0.1
3354
3244
3076
IV
0.1+0.2
2064
2198
2058
0.1+0.4
2396
2266
2325
V
0.3+0.2
2377
2319
2354
0.3+0.4
2289
2106
2144
VI
0.5+0.2
3596
3428
3362
0.5+0.4
3188
3134
3057
VII
0.1+0.2
2518
2408
2586
0.1+0.4
2235
2228
2202
VIII
0.3+0.2
2346
2541
2071
0.3+0.4
2230
2142
1958
IX
0.5+0.2
2912
3036
3256
0.5+0.4
3126
2888
2758
results reported as mg/1 COD

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                   TABLE A-8.  RESULTS FROM COD EXPERIMENT - MINUS FEED*
Run
F/M Change
Before AM Shock
After AM Shock
End of AM Run
F/M Change
Before PM Shock
After PM Shock
End of PM Run
I
0.1-0.3
1977
2370
2308
0.1-0.5
2342
2099
2226
II
0.3-0.1
2099
2217
2189
0.3-0.5
1883
2446
2055
III
0.5-0.3
2909
2700
3046
0.5-0.1
2806
2743
2570
IV
0.1-0.2
1962
2084
1946
0.1-0.4
2294
2130
2193
v
0.3-0.2
2043
1996
2030
0.3-0.4
1955
1764
1803
VI
0.5-0.2
3044
2913
2843
0.5-0.4
2636
2598
2519
VII
0.1-0.2
2411
2290
2469
0.1-0.4
2128
2088
2066
VIII
0.3-0.2.
2025
2233
1747
0.3-0.4
1909
1811
1620
IX
0.5-0.2
2373
2527
2744
0.5-0.4
2587
2361
2230

results reported as mg/1 COD

-------
     The results of these experiments are listed in Tables A-5, A-6, A-7,
and A-8 and Figures A-5 thru A-8.   The following summarizations and conclu-
sions can be made:

     (a)  There is more sensitivity (larger ADO) to a change in F/M loading
in both the side car and aeration basin for the system at the steady state
F/M of 0.1; the least sensitivity at 0.5 F/M.
     (b)  The system operated at a steady state F/M - 0.1 results in a lin-
ear relationship (in the range studied) for ADO (mg/1) versus F/M and for
ADO [mg/l/hr)/(mg/l   MLVSS)] in both the side car and the aeration basin
data.  The correlation coefficient of the corresponding first order poly-
nomials are given in Table A-6.
     (c)  The system operated at a steady state F/M of 0.1 also yields, on
the average, the most rapid response in both the side car and aeration basin
compared to the systems operating at steady state F/M's of 0.5 and 0.3.
There appears to be no significant correlation between average response time
and magnitude of F/M change for any of the three cases.
     (d)  In the aeration basin, the percent return to original DO level,
that is prior to F/M shock, is 95% or better in all three cases after two
hours.  The average percent return in the side car of 86% after two hours re-
flects the comparatively low levels of ambient DO.  The DO level in the side
car returned to within an average of 0.2 mg/1 off its original DO value.
     (e)  The results of the COD experiment are seen in Tables A-7 and A-8.
Table A-7 lists the COD values determined from the aeration basin samples.
Table A-8 lists the COD values less the appropriate, weighted feed value.
The feed value is a function of F/M level in the aeration basin and shock
feed and the percent volume of shock added in two hours.  Neither set of
data provides a predictable pattern.  This is due, in part, to the problems
of obtaining a truly homogeneous sample from the mixed liquor for analysis.
Another aspect of the COD analysis is that the changes are too rapid to eli-
cit any significant (measurable) response within the organism. -Moreover, the
magnitude of the changes is small.  The experiment yielded an average BOD/COD
ratio of 0.77 for the powdered skim milk used.  The average ratio of mg
MLVSS/mg COD for the mixed liquor was 0.875 before shocking.

     This information characterizes the continuous respirometer system.  The
increased sensitivity and rapidity of response at the lowest level F/M in-
vestigated is easily explained:  The impact of addition or removal of sub-
strate at the lower feed level is greater because any change represents a
larger percent variation from the steady state.  The microorganisms are so
well fed at an F/M - 0.5, that a short change in feed (addition or removal)
has little effect.  It is especially evident when comparing ADO/At's between
steady state F/M's of 0.1 and 0.5 (Table A-5).  It should be noted, however,
that at a steady state F/M of 0.1, the MLVSS cannot be maintained at a 2500
mg/1 level.  They do stabilize fairly well at slightly less than 2000 mg/1.

     At this point actual industrial wastes were brought to the laboratory
and applied to the continuous respirometers.  The details are given in the
next section.
                                     71

-------
ro
             ADO
                     3.0
                     2.0
                     1.0
                          SIDE  CAR
BASELINE F/M = 0,1
                                       BASELINE F/M = 0.3
                                                           BASELINE F/M = 0.5
                               O.I      0.2     0.3     0.4
                                    CHANGE  IN  F/M
                      Figure A-5.  F/M change vs ADO/At (mg/1-DO/hr) - side car.

-------
-•J
CO
         ADO
                ,0
                1.0
                    AERATION BASIN
                                                        BASELINE F/M = 0.
                                   BASELINE F/M = 0.3

                                                  BASELINE F/M = 0.5
                                 0.2     0.3     0.4

                               CHANGE  IN  F/M
                    Figure A-6. F/M change vs ADO/At (mg/1-DO/hr) - aeration basin.

-------
mg
   MLYSS
                                 BASELINE
                                  F/M=O.I
                         BASELINE F/M =0.3
                      I
              I
I
                                 BASELINE F/M=0.5
I
                 O.I 0.2  0.3  0.4  O.5

                     F/M  CHANGE
  Figure A-7.
F/M change vs ADO/At per MLVSS
(mg/1-DO/hr/mg/l-MLVSS) - side car.
                    74

-------
                                  BASELINE F/M=0.1
                         BASELINE F/M=O.3
                                BASELINE F/M =0.5
                               L
                 O.I  0.2 0.3 0.4  0.5
                     F/M  CHANGE
Figure A-8.
F/M change  vs ADO/At per MLVSS
(mg/1-DO/hr/mg/l-MLVSS) - aeration basin.
                   75

-------
Industrial Wastes Study

     Samples of two industrial wastes were tested in the laboratory - a dairy
waste and a meat packing waste.  The former recycles whey for use in pig
farming while the latter does not retrieve the blood and fat for reuse in
feeds and tallow, etc.  The dairy waste has a BOD of approximately 1200 mg/1
with a TSS of 300 mg/1.  The meat packing waste has a BOD of approximately
900 mg/1.

     Prior to the shockloading of the respirometer with an industrial waste,
the biosystem was acclimated to a low level of the waste for a period of five
days.  The system was acclimated with a 3% (by volume with the standard solu-
tion of 0.3 F/M evaporated milk feed) dairy waste.  The system was acclimat-
ed at a 1% level for the meat packing waste.  Shocks (higher percents by
volume loadings of wastes) were applied for two hours.  The system was re-
turned to the proper acclimation feed for 22 hours before the next shock was
applied.  The DO levels in the side car were monitored and recorded.  All
shock load sequences were performed at least twice.

     The results of the industrial shocks are seen in Tables A-9 and A-10.
The results from the meat packing industry show that inhibition (DO increase)
could have been initially experienced.  The variation in DO level however is
below the Winkler/DO probe sensitivity comparison.  The 1% acclimation period
does not appear sufficient for this,waste which, though high in BOD, has a
large dissolved solids concentration due to the high blood content.  The
biosystem appears acclimated after the second shock - a 5% by volume loading.
The decrease in DO (from the 10% shock on) indicates that the microorganisms
were able to utilize the waste substrate entering the system in the remain-
ing shock loadings.  This result  suggests that not acclimating the system
to the waste prior to a shock load would be preferable.  This would result
in a response more indicative of the response observed on location at a
wastewater treatment plant.

     The runs using the dairy waste as a shock performed analogously to the
F/M shocks using evaporated milk.  This was as anticipated.

     The continuous respirometer provides a rapid and predictable response
to controlled laboratory shock loadings.  Additional work was undertaken to
fine tune the design and operating parameters of the respirometer.  Special
consideration was given to developing a monitor with a more rapid response.
The results of  this modification program are discussed in Section 6.
                                     76.

-------
 TABLE A-9.   RESULTS  OF  MEAT  PACKING  INDUSTRIAL
	WASTES  RUN -  SIDE  CAR  DATA*	
  Percent  Shock,
  cone, by vol.	ADO, mg/1  PI,  0  16 min.
        3                      + 0.10
        5                      +0.09
       10                      - 0,04
       20                      - 0.08
       33 1/3                  - 0.30
 *acclimation @ \%
    TABLE  A-10.   RESULTS OF DAIRY  INDUSTRIAL
           WASTES RUN  - SIDE CAR DATA*
Percent Shock,
cone, by vol.
10
20
33 1/3
50
ADO, mg/1 02, @ 16 min.
- 1.08
- 1.19
- 2.29
- 3.36
 *acclimation @ 3%
                      77

-------
                                REFERENCES

1.  "Standard Methods for the Examination of Water and Wastewater," 13th
    Edition, Amer. Public Health Assn., Washington, D.C. (1971).

2.  Lenhard, G.; Nourse, L.D.; and Schwartz, H.M. "The Measurement of
    Dehydrogenase Activity of Activated Sludges," Proc. 2nd Int'l Conf.
    Water Poll. Res., Tokyo, Japan (1964).

3.  Ford, D.L.; Yang, J.T.;  and Eckenfelder, W.W. "Dehydrogenase Enzyme as
    a Parameter of Activated Sludge Activities," Proc., 21st Ind. Waste Conf.,
    Purdue University, West Lafayette, Indiana (1966).

4.  Upadhyaya, A.K., "Determination of Relationships Between Biodegradable
    Fraction and Viable Mass in Activated Sludge Systems and Their Signifi-
    cance in Design," Ph.D.  Dissertation, Vanderbilt University, Nashville,
    Tennessee (1973).
                                    78

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                                APPENDIX B

              DEVELOPMENT OF PROPOSED MATHEMATICAL MODELS FOR
                            BIOMONITOR RESPONSE
     In general, the literature indicates that a lag in the response of
specific growth rate to changes in influent flow rate and substrate concen-
tration exists (B-l-B-3).  The Monod model (B-4) is unable to predict the
dynamic behavior of microbial growth subject to the changes in dilution rate
and influent substrate concentration.  More complicated models accounting for
physiological state of microorganisms are necessary to achieve even qualita-
tive agreement of model with experimental data.

BASIC CONCEPTS OF MICROBIAL GROWTH

     In aerobic biological waste treatment systems, the influent organic sub-
strate is contacted with activated sludge of the mixed liquor in aeration
basins. The activated sludge reacts biochemically with the organic matter,
converting it to carbon dioxide, water, and additional sludge mass.  Equation
(B-l) depicts the reaction and is the basis for the model developed in this
study.

     Soluble Substrate + 0  Microorganisms , Active Cells
     Soluble Substrate + 02                > Nonactive Cells    •
                                             Biodegradable Residue
                                             Nonbiodegradable Residue  (B-l)
                                             C02
                                             H20

A serial conversion of soluble substrate to active mass and nonactive mass,
as depicted in Figure B-l, will be assumed.  Total organic carbon (soluble)
concentrations in influent and effluent will be measured as organic substrate
and volatile suspended solids of mixed liquor as biomass concentration.

     The basic relationships between the specific growth rate of microorgan-
isms and the concentration of soluble substrate are discussed below.

     A variety of mathematical models have been proposed to describe the
basic kinetics of microbial growth and substrate removal in the activated
sludge system.  In 1942, Monod (B-4) proposed a kinetic model of microbial
growth in pure culture which depends on the cell and substrate concentrations,
The growth rate of microorganisms may be expressed as follows:

                               dX/dt  -  UX                           (B-2)


                                    79

-------
                                                      Nonactive
                                                      Mass
                                                      (SS  and VSS)
                 Soluble
                 Residue
                  (TOG)
                                            7\
Soluble
Substrate
 (TOG)
**
                                  Active
                                  Mass

                                 (SS and VSS)
                                  Soluble
                                  Residue

                                    (TOG)
                                                          Soluble
                                                          Substrate
                                                           (TOG)
                                                          Soluble
                                                          Residue

                                                           (TOG)
                                                          Inert
                                                          Residue
                                                          (SS and VSS)
          SYNTHESIS METABOLISM
                                 ENDOGENOUS METABOLISM
                         * Noribiodegradable
                        ** Biodegradable
                 Figure B-l.  Microbial  metabolism in soluble substrate.

-------
where y is the specific growth rate and X is the concentration of bacterial
cells.  Monod found that the value of y is not constant, but depends on the
concentration of growth limiting substrate, S, according to the equation:

                         y - ym S/KS + S                           (B-3)

The maximum growth rate, y , and the saturation constant, K , are kinetic
parameters, and are assumed to be constant for a specific system.  When the
substrate concentration is low with respect to the value of K , equation
(B-3) may be simplified into a first order equation in the manner of Garrett
and Sawyer (B-5)

                         y - ym/Ks S - KS                          (B-4)

     Monod also suggested that the relationship between the growth of bac-
teria and utilization of substrate be represented by:

                         -dS/dt - 1/Y dX/dt                        (B-5)

where Y is referred to as the yield factor which he assumed to be constant.
This model has been widely used to predict steady state growth rate and to
design the CMAS process with some success (B-6).  However, Storer and Gaudy
(B-l) and Sherrard (B-7) found the yield factor varies with growth rate ra-
ther than remaining constant.

     Koga and Humphrey (B-2) discussed the dynamic response of a chemostat
as predicted by the Monod empirical model.  They concluded that the Monod
model is inadequate to predict the dynamic behavior observed in chemostat
experiments.  Kono and Asai (B-8) introduced physiological activity in
growth kinetics to account for lag phase and declining phase.  According to
the studies on transient loadings Young et al. (B-3) also noted that the
Monod model is not satisfactory for predicting unsteady state microbial
growth.

     Tebbutt and Christoulas (B-9) showed that a first order reaction with
retardation as proposed by Fair et al. (B-10) satisfactorily described
treatment kinetic with sewage.

                         -ds/dt - KX(S/S0)nS                       (B-6)

For n * 0, equation (B-6) describes a linear kinetic model of substrate re-
moval, it is the form as a first order reaction proposed by Tischler and
Eckenfelder (B-ll).

     By integrating for the range 0 £ n <_ 2, Equation (B-6) may be express-
ed approximately as (B-l2):

                         So " S/So " AC0*0)6/1 + A(KX6)B           (B-7)

where:

     A - 0.585 + 0.415 exp (-1.4695n)


                                    81

-------
     B =• 1/(1 - 0.2267n)
     8 * hydraulic residence time in the system

     Grau et al. (B-13, B-14), on the basis of numerous experiments and af-
ter thorough theoretical analysis, proposed the following differential equa-
tion for multi-component substrate removal  kinetics:

                        -dS/dt - KnX(S/SQ)n                        (B-8)

where n is the formal order of reaction.  For n = 1, Equation (B-8) may be
reduced to the Eckenfelder kinetic model (B-15) as:

                        -dS/dt - KX S/SQ                           (B-9)

Equation (B-9) logically states that the removal  rate,  dS/dt, decreases as
the fraction of substrate remaining, S/S ,  to be moved  decreases.   The ra-
tionale for this rests in the fact that as  the more  readily removable com-
pounds are exhausted, those yet to be removed result in a decreasing removal
rate.

     It is assumed that within the mixed liquor of activated sludge there
exist active (or viable) cells of concentration X which increase  in cellu-
lar mass at a rate directly proportional to their cellular mass at any time,
then:

                        (dXa/dt) synthesis  - yxaXa                 (B-10)

By introducing the yield factor, Y, defined as units active mass synthesized
per unit soluble substrate utilized, it gives:

                        (dXa/dt) synthesis  « -Y ds/dt              (B-ll)

     In accordance with the concept of Sinclair and  Topiwala (B-16) active
mass is lost by endogenous metabolism (endogenous respiration and  cellular
death) to provide maintenance energy for viable cells.   The rate of endogen-
ous metabolism is assumed to be first order with respect to active cells
with a constant specific rate, b:

                        (dXa/dt)endogenous  metabolism=  -bXa        (B-12)

Combining Equations (B-10) and (B-12) an expression  for the net growth rate
of active cells is obtained:


                        (dXa/dt>net growth^xaXa '  bXa            

     During the endogenous metabolism some  of the active cells are assumed
to die and release their contents back into the mixed liquor to serve again
as soluble substrate for the surviving microorganisms.   However, some con-
stituents of the cell material are nonbiodegradable  and remain as  part of
the biomass (nonactive cells).  Thus, the rate of production of nonactive,
but previously active, cells is proportional to the  rate of breakdown of
active cells due to cell lysis and endogenous respiration:

                                     82

-------
                         dXn/dt - a bXa                          (

According to Kountz and Forney (B-17), approximately 75-80% of the microbial
cells is biodegradable and remaining 20-25% is nonbiodegradable residue, i.e.,

                         a = 0.20 - 0.25                         (B-15)

     The total volatile suspended solids in the mixed liquor is defined as:


                      •   Xv - "a * "n '* "io                      

The inert organic matter, X. , in the system is so small with respect to
total biomass that it may be neglected  and Equation (B-16) may be reduced
to:

                         Xv = Xa + Xn                            (B-17)

The net rate of biomass production in the system would then be expressed as:

                         dXv/dt = (yxa - b + ob) Xa              (B-18)

     In aerobic biological systems the dissolved oxygen will be consumed by
microorganisms for synthesis and endogenous metabolism.  The oxygen required
for synthesis is proportional to the substrate utilized while the oxygen
consumed during endogenous metabolism is proportional to the endogenous rate.
The oxygen uptake rate is:

                         R = a'/Y u  X, + b1 bX3                 (B-19)
                                   Xa a        a

Then the specific oxygen uptake rate may be expressed as:

                         r=a'/Yu , + b'b                      (B-20)
                                   A a

     With material balance, mathematical relationships for each completely
mixed biological treatment system may be developed for soluble substrate,
active mass, and total mass.  The general mass balance equation is:

                Accumulation = Input - Output ± Conversion       (B-21)

     It is noted that the soluble substrate concentration released by cells
decomposition during endogenous metabolism is not taken into account for the
overall substrate balance.  Although efforts have been made about such vari-
ous substrate sources (B-18, B-19) it is doubtful whether the present state
of knowledge and the difficulties inherent in parameter prediction justify
their use for design and operation practice.


STEADY STATE OF ACTIVATED SLUDGE UNIT

     If the system shown in Figure B-2 is operated at steady state condition
and the sludge is wasted daily to remain specific volatile suspended solids
for various influent substrate concentrations; the mass balance equations

                                    83

-------
      Fo  ,  so , co
Air
                                                 F   S X   C
                                                        e
                                                      , e ,
       Figure B-2.  Schematic of activated sludge unit.
Air







Fo









1
1
1







'

Ve,C2


f~
S2
x2
C2
V2



l_






itr
F-F0




S
X
C
V

t


\

1
1
1
1

t



i




^ F^, Sp> C/^>
0, 0, 0
Air


        Figure B-3.  Schematic of BioMonitor.
                              84

-------
for soluble substrate, active mass, and total mass are:

     Soluble Substrate Balance

       0 - FQ(S0 - S) - 1/Y yxaXaV                        (B-22)

     Active Mass Balance


       0 * ° - FoXae - Wa + ^xaXaV ' bXaV                 <

     Total Mass Balance


       0 = ° " FoXve " Wv + (yxa ' b + ab) XaV            t

     If all biomass are homogeneously mixed within the aeration basin and
the clarifier and the accumulation of biomass in the clarifier is negligible,
i.e.:


                         Xa/Xv * Xae/Xve = Wa/Wv          <*-25>

Thus, the definition of mean cell residence time may be written as:


                  8c = XvV/FoXve + Wv - XaV/FoXae + Wa    

Equation (B-23) can be rearranged and Equation (B-26) can be substituted in-
to the result to give:

                         yxa = 1/8C + b                   (B-27)

Substituting Equation (B-27) into Equation (B-22), it gives:
                     Xa = 6cY(So ' S)/e(1 + bec)          (B'28)

where 6 is hydraulic residence time, V/F .  Substituting Equations (B-26),
(B-27) and (B-28) into Equation (B-24) and solving for Xy, it yields:

                     ,*v = Y(SQ - S) 9c/9 (1 + ab6c)(l + b6c)  (B-29)

     The activity of the mixed liquor in activated sludge system is defined
as the active cell fraction, i.e., the active mass divided by the total bio-
mass.  Hence, the activity, x, may be shown:

                         x = Xa/Xv - 1/1 + ab8c           (B-30)


STEADY STATE EVALUATION OF BIOMONITOR

     Based on the schematic diagram of the BioMonitor shown in Figure B-3
at steady state the material balance on soluble substrate, active mass, to-
tal mass, and oxygen concentration will yield:
                                    85

-------
     Contact Chamber
       Soluble Substrate Balance
       ° • Vo + 
       Oxygen Concentration Balance
       0 = FCr(F-F0)C2-F0C2-R2V2 + KLa2(C2*-C2)V2               (B-38)
     At steady state the microorganisms both in contact chamber and the
aeration basin provide the same physiological state, i.e., same activity,
thus:
Xal/Xvl  + Xa2/Xv2 = Xae/Xve = Wa/W
                                                v
also          b] = b2 = b,  Y] = Y2 = Y
From Equations (B-32) and (B-33) and Equations (B-36) and (B-37), it is evi-
dent that:
Equations (B-31-33) and Equations (B-35-37) mav be rewritten as follows:
                                    86

-------
    Contact Chamber

     0 ' FoSo + (F-Fo>S2 - FS1  '
     0 - (F-F0)Xa2 - FXal  + yxaXalVl  - b X^                    (B-42)
     0 - (F-FQ)Xv2 - FXvl  - (yxa - b  + ab^                   (B-43)
    Aeration Basin
     0 - FST - (F-FQ)S2 - FQS2  - 1/Y  y^V,,                    (B-44)
     0 - FXal - (F-FQ)Xa2 - FQXae - Wa + yxaXa2V2-bXa2V2          (B-45)

     0 - FXvl - (F-Fo>Xv2 - FoXve-Wb  + Ka-b+ab>Xa
Now the mean cell  residence time may  be defined  as:

     9cl = Xvl
              9c2 * Xv2ov2 + FQXve + Wv -

              Xa2V2/(F-F6>Xa2 + FoXae + Wa ' FXal
Substituting and rearranging Equations (B-41)-(B-46),  it yields:
    Contact Chamber
     yxa - l/ecl + b                                             (B-49)
     xal = Y/V1[F0(S0-S2)+F(S2-S1)]/(l/9cl + b)                '   (B-50)

     Xvl ' YCFo
-------
DYNAMIC MODELS OF THE BIOMONITOR
    At unsteady state conditions equations derived for steady state may  be
modified and give:
    Contact Chamber
     Soluble Substrate Response
     »1 d₯dt • Foso * Xa2 - FXal + ^xalXa!Vl ' b XalVl          {
     Total Mass Response
     V]dXvl/dt = (F-FQ)Xv2 - FXyl + (yxal-b+ab)XalV1           '   (B-58)
     Oxygen Concentration Response
     VI dtydt - FQC0 + (F-FQ)C2 - FC1 - R1V1
              + KLa1(C*-C1)V1                                     (B-59)
    Aeration Basin
     Soluble Substrate Response
     V2 dS2/dt = FS1 - FS2 - 1/Y Pxa2Xa2V2                        (B-60)
                                                              >
     Active Mass Response
     V., dXa2/dt - FXal - 
-------
                    LIST OF ABBREVIATIONS AND SYMBOLS
ABBREVIATIONS

 a1
  b
 b1

  C
 C*
  K
  r
  S
  V
 w
  a
SUBSCRIPTS

  0
  1
  2
oxygen consumed per unit substrate utilized, dimensionless
endogenous metabolism rate, T"'
oxygen required per unit active biomass lost by endogenous
metabolism, dimensionless         _3
dissolved oxygen concentration, ML          _-
saturated dissolved oxygen concentration, ML   _~
steady state dissolved oxygen concentration, ML
flow rate, L3r'
reaction rate constant, T~' or M~iL3T~'
overall oxygen transfer coefficient, T"'
nth order reaction rate constant, T~l
saturation constant, ML"3
oxygen uptake rate by microorganisms, ML"3T~'
specific oxygen uptake rate by microorganisms.
soluble substrate concentration, ML"3
reactor volume, L3
active biomass wasted per day, MT"1
volatile suspended solids wasted per day,
active biomass fraction in mixed liquor,
active biomass concentration, ML"3
                                                                  r-1
                                          MI'1
                                         dimensionless
active biomass concentration in effluent, ML"3
inert organics concentration, ML"3
nonactive biomass concentration, ML"3
volatile suspended solids concentration, ML"3
yield factor, dimensionless
nonbiodegradable fraction of microbial  cell  materials,
dimensionless           .
specific growth rate, T"1      _-|
maximum specific growth rate- T
microbial synthesis rate, T"1
hydraulic residence time, T
mean cell residence time, T
influent
contact chamber
aeration basin
                                     89

-------
                                REFERENCES

B-l    Storer, F.F., and Gaudy, A.F.,  Jr.  "Computational  Analysts of Trans-
         ient Response to Quantitative Shock Loadings of Heterogeneous Popu-
         lations in Continuous Culture," Enviro.  Sci. Tech., 3, 143-149
         (1969).

B-2    Koga, S. and Humphrey, A.E.  "Study of the  Dynamic Behavior of the
         Chemostat System," Biotech.  Bioeng., 9,  375-386 (1967).

B-3    Young, T.B.; Bruley, D.F.; and  Bungay, H.R.  III.  "A Dynamic Mathemati-
         cal Model of the Chemostat,"  Biotech. Bioeng.,  12, 747-769 (1970).

B-4    Monod, J. "Recherches sur la Croissances des Cultures Bacteriennes,"
         Hermann et Cie, Paris (1942).

B-5    Garrett, M.T., Jr. and Sawyer,  C.N. "Kinetics of  Removal of Soluble
         BOD by Activated Sludge,"  Proc. 7th Ind. Waste  Conf.,  Purdue Univ.,
         West Lafayette, Indiana (1952).

B-6    Lawrence, A.W., and McCarty, P.L. "Unified Basis  for Biological Treat-
         ment Design and Operation,"  J.  San. Eng. Div.,  ASCE, 96, 757-778
         (1970).

B-7    Sherrard, J.H. Ph.D. Thesis, Univ.  of California,  Davis  (1971).

B-8    Kono, T. and Asai, T. "Kinetics of Continuous Cultivation," Biotech.
         Bioeng., 11, 19-36 (1969).

B-9    Tebbutt, T. H. Y., and Christoulas, D.G. "Performance Studies on a
         Pilot-Scale Activated Sludge  Plant," Water Poll. Cont.,  74, 701-710
         (1975).

B-10   Fair, G.M.; Geyer, J.C.; and Okun,  D. "Water and  Wastewater Engineer-
         ing," Vol 2, John Wiley & Sons, Inc., New  York  (1968).

B-ll   Tischler, L.F., and Eckenfelder,  W.W., Jr. "Linear Substrate Removal
         in the Activated Sludge Process," Proc.  4th Int'l. Water Poll. Res.
         Conf., Prague (1969).

B-l2   Christoulas, D.G., and Tebbutt, T.H.Y. "Mathematical Model of a Com-
         plete-Mix Activated Sludge Plant," Water Res.,  10, 797-804, (1976).

B-13   Grau, P., and Dohanyos, M. "Substrate Removal Kinetics of Activated
         Sludge," Vod. Hospod. B20, 298-305 (In Czech) (1970).
                                      90

-------
B-14   Grau, P.; Dohanyos, M.; and Chudoba, J. "Kinetics of Multi-Component
         Substrate Removal by Activated Sludge," Water Res., 9. 637-642
         (1975).

B-15   Adams, C.E., Jr.; Eckenfelder, W.W.; and Hovious, J.C. "A Kinetic
         Model for Design of Completely Mixed Activated Sludge Treating Vari-
         able-Strength Industrial Wastewater," Water Res., 9, 37-42 (1975).

B-16   Sinclair, C.G., and Topiwala, H.H.  "Model for Continuous Culture which
         Considers the Viability Concept," Biotech. Bioeng., 12, 1069-1079
         (1970).

B-17   Kountz, R.R. and Forney, C., Jr. "Metabolic Energy Balances in a
         Total Oxidation Activated Sludge  System," Sew, Ind. Wastes, 31,
         819-826 (1959).

B-18   Martin, E.J., and Washington, D.R.  "Kinetics of the Steady-State Bac-
         terial Culture-I. Mathematical Model," Proc. 19th Ind. Waste Conf.,
         Purdue Univ., West Lafayette, Indiana (1964).

B-19   Westberg, N. "A Study of the Activated Sludge Process as a Bacterial
         Growth Process," Water Res., 1, 795-804 (1967).
                                     91

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                                APPENDIX C

                        PILOT PLANT INVESTIGATIONS
DESCRIPTION OF PILOT PLANT

    Figure C-l  is a detailed schematic of the pilot plant system with the
various components defined.   Actual  pictures of the system are seen in Fig-
ures C- 2 and C- 3 .  The trailer holding the components is40 feet long by
8 feet wide.  The pilot plant consists of six plug flow aeration basins with
an approximate volume of 300 gallons (252 cubic feet) each.  Each compart-
ment measures 3' x 2' x 7' deep.  The total  outside dimensions are 9'  x 4' x
7.8' deep.  The effective standing water depth is 7 feet.   The effluent from
basin six enters a secondary clarifier set up for return sludge to basin one.
The biological clarifier is  7 feet in diameter at wier level  with a surface
area of 38.5 square feet.  The maximum flow through the system is 13.4 gal-
lons per minute.

    Baseline feed to the system is the primary effluent from Metro's (Nash-
ville's) Central Sewage Treatment System.  The average BOD for the primary
effluent during the test period was approximately 110 mg/1.  Metro Central
Wastewater Treatment Plant has a capacity of 68 MGD.  Feed is pumped in at
1.7 gallons per minute.  The return sludge is pumped in at 3.5 gallons per
minute in an effort to maintain a solids level of 3500 mg/1 MLSS and 2500
mg/1 MLVSS.  This combined flow of 5.2 gallons per minute effects a one hour
retention per basin for a total system retention time of six hours.  Minimum
retention time for the system is 2.34 hours for 6 basins,  of 0.39 hours per
basin.    >

    A dye study was performed to determine the flow pattern of the pilot
plant, i.e., breakthrough times of the individual basins.   Three mis of
Rhodamine W.T. dye (concentration 21,000 ppm) was added to aeration basin I.
Percent transmission was read on an Aminco Fluoro-Micro Photometer set at a
meter multiplier of 0.3 and  a sensitivity of 30%.  Maximum percent transmis-
sion was set at 100% with tap water and dye.  The zero percent transmission
blank was tap water.  Influent flow during the study was 2.2 gpm and return
sludge was 3.2 gpm for a total of 5.4 gpm flow through the system.  The av-
erage effective volume of each of the 6 basins is 314 gallons.  Therefore,
the theoretical retention time at this flowwas58 minutes or 0.967 hours.

    A problem seemed to occur with the fluorometer measurements approximate-
ly 2 hours into the proposed five hour study.  There arose the possibility
that a local textile manufacturer was discharging (as it is known to do) some
of its red dye which was fluorescing and confusing the measurements.  The


                                     92

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                                                                     Effluent from Pilot Plant Study
vo
CO
               Primary Effluent Trench of .WTP
 Code
Number
  1
  2
  3
       4
       5
       6
       8
       9
      10
      11
      12

      13

      14
      15
      16
      17
                                       KEY
                      Component
              Pressure filter
              Splitter box
              Aeration basin
         Air compressor
         Air system & flow meters
         Secondary sludge return
          pump
         Biological claHfler

         Chemical sludge thickener
         Flocculation tank
         Line tank
         "to waste"
         Chemical clarifler

         Mixing tank - baffled

         Flow splitter
         Tank
         Pump regulators
         Electrical control box
 Dimensions/description

3' diameter, 5.7'  high

3' x 2", 7'swd*
overall dimensions
9' x 41 x 7.8'
5 hp, 3495 rpm

1.5 hp, 1725 rpm
variable speed
ID, 7.3'; 00, 8'
2' swd

3' x 4' x 4.5'
2.2' diameter;  5.9'  deep
                                                                                 _ Influent for
                                                                                    Pilot Plant
                                                                                    Study
a)
b)
   5' diameter; 2.5 swd
   3' diameter1 4 ..5 swd
tank: 2'  x 6'  x 4'  deep
mixers: % hp,  1725  rpm
lh hp, 1750 rpm
      *swd « standing water depth
                                                                                  Figure  C-1.   Detailed schematic of pilot
                                                                                                  plant.

-------

I •

                             Figure C-2.  Full View of Pilot Plant Facilities

-------
Figure C-3.   Close-up  of Pilot  Plant
              Aeration Basins


-------
study was continued through approximately 3 1/2 hours with plans to restudy
the problem at a later date.

    A second dye study was performed 2 weeks later.   This delay permitted the
system to flush itself of residual  dye.  Operating parameters at this time
were:  same fluorometer as previously employed with the same meter multiplier
of 0.3 but a sensitivity of 37.  Tap water and dye was again the blank used
to calibrate 100% transmission.  The "zero" blank was tap water.  There was
one major difference.  Tap water at a rate of 5.4 gpm was pumped into the
system in place of the raw sewage feed and return sludge.  This eliminated
not only the spurious readings from the industrial dye but also reduced the
possible errors due to dye adsorption onto the biofloc.

    Theoretically the basin is a plug flow unit; therefore, the theoretical
breakthrough of dye in each compartment is a spike occurring in basin II one
hour after the dye is added to basin I; 1  hour after basin II in basin III,
etc.   The breakthrough point in the clarifier was taken at the first signi-
ficant increase in the reading.  The values listed for aeration basin I in-
dicate the time at which the dye reached the level initially monitored in
the clarifier.  Background levels in the basins averaged about 12%.  Mixed
liquor was in the basins before the introduction of the tap water.  The
background level of fluorescence in the clarifier was around 3%.

    The results of these two dye studies are seen in Table C-l.  The results
indicate some short-circuiting in the system.   Time from peak to peak should
be one hour.  Our data reveal travel times (distance between peaks) of 1.42,
0.50, 0.83, 0.83 and 0.67 hours for an average value of 0.85 hours.  This
information will be integrated in the analysis of results obtained during
the shocking procedures described below.

Industrial Wastes Shock Program

    The following general experimental procedure was employed for each of the
three industrial wastes monitored.   The system was stabilized with respect
to solids level and equipment performance.  The WWTP primary effluent was
pumped to the splitter box.  Adjustment in flow was made both at the pump
and by variation in the overflow gate position.  The industrial waste used
to shock the system was also pumped into the flow at the splitter box.  Ad-
justment in flow was made at the pump.  An additional contact container be-
low the splitter box outfall was added to effect sufficient mixing between
the sewage and industrial waste.  It was from this second contact container
that the sample was pumped to the BioMonitor.   The additional mixing con-
tainer and longer connecting tubing caused a delay (increase cf laboratory
studies) in response time of the BioMonitor to about four minutes.

    The BioMonitor, pumps, meter and recorder were set up in a weather sta-
tion box alongside the trailer.  Figures C-4 and C-5 show the setup employed.
A second weather station box was set up on the trailer bed.  This housed e-
quipment, additional supplementary tests, materials for oxygen uptakes,
maintenance paraphernalia, clean-up accessories, etc.
                                    96

-------
••-
                               Figure  C-4.   Close-up  of BioMonitor at pilot plant

-------

         .* I
Figure C-5.   Close-up of auxiliary equipment at pilot plant

-------
              TABLE C-1.  RESULTS  OF  PILOT PLANT  DYE STUDIES
Location,
Basin#
1**
2
3
4
5
6
clarifier

7/19 Study
not reached
@3.4 hr
1.27
1.74
1.74
1.96
1.96
2.8
Breakthrough
8/3 Study
3.67
1.42
1.92
2.75
3.58
4.25
™
Time, hours*
Theoretical

1.00
2.00
3.00
4.00
5.00
6.00
    *After addition of dye  to aeration basin  I.
   **Time at which aeration basin  I  is flushed to the fluorescence level
     initially monitored  in the clarifier.

     The testing and sampling program set up  at the pilot plant was as fol-
lows:  the shock load applied for  15 minutes.  The baseline feed flow was
reduced by the flow of waste to maintain the  same retention time.  A single
shock load was studied per  day.  Fresh industrial wastewater was brought in
daily.  They were transported in plastic-lined 55 gallon drums.  The wastes
studied in this part of the project  were:   (a) food (potato) processing;
(b) meat processing; and  (c) electroplating.  The schedule of the pilot
plant sampling program is given in Table C-2.

Potato Processing Waste—
     The potato processing  waste had an average BOD of 256 mg/1 and a TOC of
230 mg/1.  The waste was at a very high pH  (=< 11) because of a caustic peel/
cleaning step in the process.

     During the three days  of testing the potato processing waste, the re-
turn sludge flow was maintained at 3.5 gpm.  The sewage feed flow to the pi-
lot plant was controlled at 1.8 gpm  for the one day and 1.65 gpm for two
days.  The shock flows of potato processing wastes were:  1.8 gpm (or 100%
on day one) and 1.2 and 0.6 gpm on the two 1.65 gpm days (73% and 36, re-
spectively).  Shock loading with potato waste was applied to a steady-state
system (with reference to the DO level in the BioMonitor) and lasted 15 min-
utes.  The effect of the shock was then monitored through the pilot plant
system for 6 hours.  The BioMonitor  unit at the time of the tests had a
feed flow rate of 20 ml/min and an average return rate of - 70 ml/min.

     Upon addition of the potato waste at the 36% and 100% contribution of
the total feed flow the change in DO was positive (i.e., DO increased).The
73% contribution caused a decline in DO level.  Assuming minimum variability
in the waste as supported by individual  TOC  analyses on  each  day's

                                   99

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                                  TABLE C-2.   PILOT PLANT SAMPLING PROGRAM
o
o
Time*
continuous
before
0
7 min
15 min
30 min
1 hr**
2 hr
3 hr
4 hr
5 hr
Biomonitor A.B. I
DO Solids TOC 02*** DO Solids TOC
X X
X XX
X
X
X
X
X
X
X
X
X

02

X
X
X
X
X
X
X
X
X
X
A.B. IV
DO Solids TOC

X




X
X
X
X
X

02

X




X
X
X
X
X
A.B. VI
DO Solids TOC

X




X
X
X
X
X

02

X




X
X
X
X
X
          *With reference to shock period - "0" is beginning of shock

         **TOC samples are collected at one time on the hour from all three basins.
           02 uptake samples are on the hour, quarter hour and half hour for
           aeration basins 1, 4, and 6, respectively.
        ***0xygen uptake

-------
 waste and the simple nature of the industrial process involved, the following
 explanation is submitted:  one problem plagued both the reproducibility and
 correlation of data throughout the pilot plant study.  Specifically, this is
 the inherent variability of the feed stream  (raw sewage) at the large WWTP
 A study was made to test the variation in the influent flow.  TOC was the
 monitoring parameter.  The results are seen  in Table C-3.  A large variation
 is seen in Aeration Basin I.  The variations are less in later basins as an-
 ticipated.

	TABLE C-3.  TOC ANALYSES - "STEADY STATE"*	


     Time into Shock      A.B. I      A.B. IV      A.B. VI
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
74.7
90.9
86.9
116.0
43.8
80.9
64.0
114.9
102.3
85.3



92.5
66.9
58.8
78.8
72.2
107.8



69.2
69.2
76.3
74.0
74,2

     *No external shock applied; reflects natural variations.

 Average TOC values, mg/1, including variances are:  AB I 86.0 ± 28%;  AB IV
 75.8 ± 16%; and AB VI 78.5 ± 19%.  Samples were obtained from the pilot plant
 for this study when no external shock was applied.  Therefore, the BioMonitor
 is measuring not only the industrial "overlay" but also the natural week-day
 variations.

     To test the accuracy of our results, a split sample was run with
 £PA's RSKERL  Laboratory on the TOC analyses of filtered mixed liquor from
 the  pilot plant aeration basins.  The results are seen in Table C-4.

     It was possible, however, for the BioMonitor to exhibit relatively stable
 periods.  But again, such times were unpredictable.  Preliminary work was
 performed on DO changes in quiet times to later analyze the significant of
 the change in DO in the BioMonitor during shock periods.  The results are as
 follows:  over the five hour monitoring period the variation in DO level dur-
 ing nonshock periods averaged ± 0.05 ppm 02 in a 15 minute time span.  The
 standard deviation (a) was ± 0.03 ppm (3a= ± 0.09 ppm 02).  Again, this vari-
 ability is neither predictable nor controllable.  While this quality  serves
 the project well for the on-site location studies, it is not conducive to
 good results when shocking in the "overlay" manner described.  Similarly,
 this problem was avoided in the laboratory by adding the shock to an  inten-


                                     101

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              TABLE C-4.   TOC ANALYSIS - SPLIT SAMPLE (MG/L)
    Sample           Kerr            VU          % difference*
A.B. 1
A.B. 2
Avg. filter
paper
leachate
35.5
36.5

8

37.8
39.0

5

3.1
3.3



    *% difference - ((VU-Kerr)/(VU+Kerr))  x 100

tionally very reproducible and steady baseline feed.   The laboratory results
were reproducible and able to be meaningfully correlated as discussed earli-
er.  Fortunately, the pilot plant is an artificial,  contrived situation and
as such not to be routinely encountered when the BioMonitor is in actual use.

    Specifically, it appears that during the test at the 73% level some con-
stituent in the sewage caused the DO level  to decrease or conversely - some-
thing else during the other two tests caused the DO  to increase.   Because of
the high pH of the waste the possibility of inhibition seems strong and so
that the former conjucture (a spurious DO decrease)  seems the more probable.

    Table C-5 lists the ADO values found for the three levels of shock load-
ing.  Considering only the absolute magnitude of the change there is good
correlation between ADO with time into shock period  for all 3 cases individ-
ually.  However, the ADO does not correlate magnitude of shock applied for
the two positive ADO cases.  This too could be a result of other components
in the feed working against the anticipated magnitude of change.

                TABLE C-5.  ADO, PPM, IN BIOMONITOR  POTATO
                    PROCESSING WASTE-PILOT PLANT STUDY


    Time into Shock,                 Percent Waste
        minutes                    36     73    100
0
2
4
8
12
15
0
-
0.02
0.57
0.80
1.00
0
-
-0.07
-0.25
-0.42
-0.50
0
0.04
0.12
0.14
0.19
0.24

    Oxygen uptakes were performed on the aeration basin liquor of the pilot

                                    102

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plant during these three shock runs.  Samples were taken from aeration basins
I, IV, and VI.  The results are seen in Tables C-6, C-7 and C-8.  An oxygen
uptake should decrease to correlate correctly with an increase in DO, and,
conversely, increase to correlate correctly with a decrease in DO.  The vol-
ume of the shock compared to the volume in the pilot plant's aeration basins
was small.  As evidenced in the results of our oxygen uptake studies, so was
its effect.  Variation in the oxygen uptake essentially reflectedthe changes
in raw sewage stream composition.

                 TABLE C-6.  OXYGEN UPTAKE DATA (MG/L/HR)
                       POTATO PROCESSING WASTE - 36%
Time into
before
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
Shock A.B. I*
28.8
22.5
25.0
28.0
29.2
42.4
63.0
28.0
34.8
A.B. IV
21.6




21.0
20.0
16.0
15.6
A.B. VI
18.8




21.8
17.7
13.0
15.0

*A.B.
» aeration basin


TABLE C-7. OXYGEN UPTAKE DATA (MG/L/HR)
POTATO PROCESSING WASTE - 73%

Time into
before
0
7 min
shock A.B. I*
21.6
24.3
25.5
A.B. IV
19.2


A.B. VI
18.0


15 min 33.3
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
23.4
29.7
51.0
63.8
68.4
63.9

19.8
24.3
21.0
19.8
20.2

19.2
21.3
19.2
22.5
19.2
        *A.B. - aeration basin

                                    103

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                  TABLE C-8.   OXYGEN UPTAKE DATA (MG/L/HR)
                       POTATO PROCESSING WASTE - 100%
Time into Shock
before
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
A.B. I*

19.8
48.0
41.6
39.0
30.0
30.0
34.5
36.9
34.5
, A.B. IV
23.1




21.6
21.6
19.2
21.0
22.2
A.B. VI
24.3




21.0
21.0
21.0
22.6
21.4

        *A.B. » aeration basin

    Table C-9 lists the results of TOC analyses  during the three shock periods
and for 6 hours afterwards.   All  TOC analyses  were performed on a Beckman 915
Total Carbon Analyzer.   Again, the variation in  results seemed  to reflect
changes in the raw sewage composition rather than a meaningful  correlation
with the shock application and diminution.

    Later in an effort  to obtain more meaningful  data a series  of short
shocks using the potato processing waste was performed.  The oxygen uptake
was monitored.  The data is given in Table  C-10.   While the oxygen uptakes of
the shock periods are uniformly higher than those values  obtained for the
"normal" feed periods proceeding them, the  difference is  not significant.
The accuracy of an oxygen uptake test is probably on the  order  of ± 10%.   As
such, this data also appears inconclusive.
                                    104

-------
TABLE C-9.  POTATO PROCESSING WASTE - PILOT PLANT STUDY
                   TOC VALUES (MG/L)
Time into Shock
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
A.B. I
68.4
66.0
63.5
90.6
69.7
80.2
74.6
70.0
69.7
71.2
63.3
73.8
68.9
62.5
69.9
69.5
65.7
-
88.0
99.3
71.4
-
-
66.3
49.8
69.8
76.1
A.B. IV
73.4








67.4



70.1
67.8
63.7
63.4
57.9
79.0



68.8
67.8
53.3
55.8
65.3
A.B. VI % shock
66.0 36








51.8 73



73.9
-
74.3
61.4
59.6
52.9 100



57.3
62.3
52.7
-
48.8
                             105

-------
             TABLE C-10.   OXYGEN UPTAKE (A.B.  I) - SERIES OF
                  SHORT SHOCKS - POTATO PROCESSING WASTE
    Time                    Oxygen Uptake..    ,        Nature of Time
                              (mg/l/hr)  	      Period Represented
10:25 a.m.
10:45
11:10
11:30
11:45
12:00 noon
12:18
12:34
12:58
1:15
52.0
68.5
75.0
67.5
68.1
64.2
66.6
67.2
67.5
67.0
normal feed
normal feed
normal feed
zero time
(normal feed)
shock I
normal feed
shock II
normal feed
shock III
normal feed

Meat Processing—                                                    •
    Because of the large waste volumes required in this part of the project,
a different meat processing industry was used as a source of waste from that
employed in the laboratory shock tests.   This plant reclaimed both blood and
fats.  The representative BOD level  in this waste was approximately 800 mg/1.
Shock load experiments were carried  out in the same manner as those conduct-
ed with the potato processing waste.  The operating parameters for the runs
are given in Table C-ll.  Weather conditions precluded a third run.  The re-
sultant changes in DO are given in Table C-12.

    Tables C-13 and C-14 list the oxygen uptakes determined for the three
basins.  The changes in the oxygen uptake in aeration basins da   correspond
to the directions of the changes in  DO in the BioMonitor.  In the first run
(Table C-13), when the BioMonitor exhibited an increase in DO, the oxygen
rate accordingly decreased from zero time through two hours.  This increase
in DO experienced a high BOD waste was attributed to the possibility of a
disinfectant (from washing the plant floors) in the waste.  The A.B. IV oxy-
gen uptake exhibited a decrease from 2 through 4 hours.  Peak time from the
dye studies in aeration basin IV is  2.75 hours.

    In the second run (Table C-14),  the BioMonitor exhibited a decrease in
DO as anticipated from the meat packing waste.  The Aeration Basin I oxygen
uptake increased from 20 minutes through 2 hours as anticipated from the DO
change monitored both in the BioMonitor and in the basin itself.

    A series of short shocks was again introduced using the meat packing

                                    106

-------
        TABLE  C-ll.   OPERATING  PARAMETERS - MEAT
            PACKING WASTE  -  PILOT  PLANT STUDY
 Meat Packing*
  Flow, gal/min

 Baseline FeecJ*
  Flow, gal/min

 Return Sludge
  Flow, gal/min
 Run I
6/14/76


  0.65


  1.1


  3.5
 Run II
6/15/76


  1.2


  0.5


  3.5
Solids
A.B. I
Return Sludge
Biomonitor
MLSS
1938
2961
1496
MLVSS
1455
2016
1179
MLSS
2562
3459
1551
MLVSS
1635
2160
1030
*Feed to Biomonitor unit is 20 ml/min sampled from
 the indicated combined Meat Packing waste and
 Baseline Feed flows.  Retention time in the
 contact chamber is approximately 3 minutes.
          TABLE C-12.  ADO, MG/L IN BIOMONITOR,
                MEAT PROCESSING WASTES -
                   PILOT PLANT STUDIES

Time into Shock,
minutes
4
8
10
12
15
ADO, mq/1
Run I
(6/14/76)
± 0.80
± 1.20
± 1.25


1
Run II
(6/15/76)
- 0.06
- 0.30

- 0.50
- 0.65
                          107

-------
TABLE C-13.  OXYGEN UPTAKE RATES (MG/L 02/HR) -
   MEAT PACKING WASTE - PILOT PLANT STUDIES
6/14/76

before
zero time
7 mln
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
A.B. 1

21.0
26.0
26.2
22.5
21.2
19.8
20.6
25.5
19.8
20.0
A.B. 4
•f
15.0




16.2
15.0
14.7
13.2
13.6
A.B. 6

12.3




15.0
15.0
14.2
14.8
13.6

TABLE C-14. OXYGEN UPTAKE RATES (MG/L 02/HR) -
MEAT PACKING WASTE - PILOT PLANT STUDIES
6/15/76
before
zero time
7 min
20 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
A.B. 1
20.1
27.0
27-0
25.8
27.0
37.8
51.0
49.2
46.5
46.5
A.B. 4
15.0





18.0
19.0
19.5
19.2
A.B. 6
15.4




19.8
17.7
18.2
18.0
17.4
                        108

-------
waste in an effort to correlate  oxygen uptake and change  In  DO  in the Bio-

nnlnfin T*J  reifi    3*h  ^^  reSUl*S nn V* ^^  UPtakG t6StS  
-------
TABLE C-15.  OXYGEN UPTAKE - SERIES OF SHORT SHOCKS
     MEAT PACKING WASTE - PILOT PLANT STUDIES

 Description            Oxygen Uptake (mg/l/hr)

 normal  feed                   53.1

 normal  feed                   56.4

 normal  feed                   54.6

 normal  feed                   60.6


 Shock I                       58.2

 normal  feed                   58.2


 Shock II                      60.0

 normal  feed                   61.8


 Shock III                      60.3

 normal  feed                   63.6


 Shock IV                      59.4

 normal  feed                   61.2


 Shock V                       41.4
                       110

-------
TABLE C-16.  ADO, MG/L - SERIES  OF SHORT SHOCKS
   MEAT PACKING WASTE - PILOT PLANT STUDIES

    Shock II                        ADO
Time into shock, min
       4                           -0.05
       8                           -0.08
      12                           -0.17

Time out of shock, min
       4                           +0.05
       8                           +0.14
      12                           +0.16

    Shock  IV
Time into  shock, min
      18                          -0.20

Time out of shock, min
      14                          +0.10
                      111

-------
TABLE C-17.  TOC VALUES (MG/L) - MEAT PROCESSING
           WASTE - PILOT PLANT STUDIES
Time into Shock
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
A.B. I
58.0
54.9
52.7
71.2
62.4
81.0
85.7
52.2
52.9
56.9
81.2
52.2
48.8
99.4
99.4
103.1
110.4
110.4
A.B. IV
48.6



61.2
52.7
49.7
62.4
49.7
52.2



69.0
42.1
39.5
69.0

A.B. VI
56.1



49.5
43.3
54.9
48.6
47.6
36.1



74.4
82.7
75.6
61.5
47.6
% Shock
37.1








70.6








                       112

-------
TABLE C-18.  ADO, MG/L, IN BIOMONITOR - ELECTROPLATING
              WASTES - PILOT PLANT STUDY
Time into Shock
minutes
0
2
4
6
8
10
12
15

TABLE

Time into Shock
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr











C-19. TOC
WASTE

A.B.
59.1
47.9
38.3
41.3
48.1
60.5
47.5
48.5
47.7
53.0
58.4
49.5
66.8
67.5
70.1
65.6
60.9
64.9
%
35.3%
0
+0.05
+0.15
+0.20
+0.05
-0.35
-0.40
-0.55

VALUES (MG/L)
- PILOT PLANT

I A.B. IV
56.5



46.2
45.4
42.2
27.5
-
50.2


58.4
58.1
60.0
60.5
50.2
_
Shock Load
97.2%
0
+0.10
+0.10
+0.05
-0.20
-0.40
-0.60
-0.65

- ELECTROPLATING
STUDY

A.V. VI % Shock
50.2 35.3


•
46.4
44.8
45.4
42.2
39.5
57.7 97.2


60.7
60.2
69.6
60.7
55.8
                           113

-------
TABLE C-20.   OXYGEN UPTAKE DATA (MG/L/HR) - ELECTROPLATING
                 WASTE - PILOT PLANT STUDY
Time into Shock
before
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
before
0
7 min
15 min
30 min
1 hr
2 hr
3 hr
4 hr
5 hr
A.B. I
25.5
26.7
26.1
27.8
25.5
28.2
36.8
50.4
79.0
63.8

54.3
57.3
51.0
33.0
29.4
28.0
42.6
25.5
36.8
A.B. IV
14.7




24.0
25.8
23.1
20.7
rained
27.2




25.0
21.4
21.9
20.4
19.5
A.B. VI
24.8




23.2
24.4
24.3
21.4
out
22.5




26.4
23.1
18.0
20.9
20.2
% Shock
35.3









97.2









                           114

-------
 crease in oxygen uptake from the 7 minute to 15 minute sampling value.  The
 97.2% run shows an increase from 0 to 7 minutes in the oxygen uptake  and a
 decrease in the value from 7 to 15 minutes.  Again, however,  it is  question-
 able whether some of these differences are significant given  the level of
 precision of the test procedure.

     Although the pilot plant studies produced sparse results  which  could not
be predicted or reproduced, the experience essentially began the on-site test-
ing.  An idea for sensitivity of response to raw sewage, maintenance regimes,
operating problems, field needs, etc. was obtained.  In Section 6 the  results
of the on-site trials are presented.  This represents BioMonitor response due
to inherent variability in the sewage - not industrial waste overlays.
                                      115

-------
                                APPENDIX  D

                            ON-SITE  INFORMATION
MAINTENANCE PROCEDURES - INDUSTRIAL SITE

 1)  Upon arriving, note any peculiarities on strip chart (e.g., poor mixing
     in main reactor, floating solids in clarifier).
 2)  Note time, date, and location on strip chart.   Note temperature in moni-
     tor tube.
 3)  Take solids sample from main reactor (contact  chamber also as necessary).
 4)  Measure return flow from monitor tube and note on strip chart and daily
     log.
 5)  Switch feed to waste position; measure total feed rate and raw feed
     rate; note on strip chart and daily log.

 6)  Plug overflow tubing in clarifier;  plug (or clamp) return tubing from
     monitor tube; remove DO probe; quickly plug probe opening.
 7)  Clean DO probe membrane (replace if necessary) and begin calibration.
 8)  Remove strip chart from previous day's operation and check recorder for
     ink supply, paper supply and pen operation.
 9)  Check pump head tubing; replace if  necessary.
10)  Clean feed tubing, if necessary, by backwashing with propanol followed
     by plain water.
11)  Check oil  level in air compressor.
12)  Skim solids from top of clarifier and stir if  necessary.
13)  Check air diffuser for clogging. Unclog if necessary.
14)  Waste solids as needed.
15)  Clean up BioMonitor and station.
16)  Complete DO probe calibration; note temperature on strip chart; and re-
     insert probe (replacing teflon tape as necessary); fill in data requir-
     ed in log.
17)  Remove plugs (clamp) from return tubing from monitor tube and from
     overflow tubing in clarifier.
18)  Measure total feed flow and raw feed flow and  note on strip chart and
     daily log.
19)  Measure return flow and note on strip chart and daily log.
20)  Note time, date, and location on strip chart.
21)  Fill dilution water tank as needed.


MAINTENANCE PROCEDURES - WASTE TREATMENT SITE

 1)  Upon arriving, note any peculiarities on strip chart (e.g., poor mixing
     in main reactor, floating solids in clarifier).

                                    116

-------
 2)   Note  time,  date,  and location on strip chart.
 3)   Take  solids sample from main reactor (contact chamber also,  if necessar-
     y).
 4)   Measure return flow from monitor tube and note on strip  chart and daily
     log.
 5)   Switch feed to waste position; measure feed flow rate; and note on strip
     chart and daily log.
 6)   Plug  overflow tubing in clarifier; plug return tubing from monitor tube;
     remove DO probe;  plug probe opening.
 7)   Clean DO probe membrane (replace if necessary) and begin calibration.
 8)   Remove strip chart from previous day's operation and check recorder for
     ink supply, paper supply and pen operation.
 9)   Check pump head tubing; replace if necessary.
10)   Clean feed tubing, if necessary.  Backwash with bleach followed by ex-
     cess  water.
11)   Replace desiccant air supply.  Save used desiccant for regeneration.
12)   Skim solids from top of clarifier.  Stir main reactor every  2 hours.
13)   Check air diffuser for clogging.  Unclog if necessary.
14)   Waste solids as needed.
15)   Clean up BioMonitor and station.
16)   Complete DO probe calibration; note temperature on strip chart; reinsert
     probe (replacing teflon tape as necessary in Monitor tube).
17)   Remove plugs from return tubing from monitor tube and from overflow tub-
     ing in clarifier.
18)   Measure feed flow and note on strip chart and daily log.
19)   Measure return flow and note on strip chart and daily log.
20)   Note time, date, and location on strip chart.
                                     117

-------
BIOMONITOR DAILY LOG
Location: 	
Date:
                  By:
Day
Time:
I.  BioMonitor
    A.  Solids:  MLSS
    B.  Clarification
             MLVSS
          % MLVSS:MLSS
    C.  Air Supply:  Desiccant Replaced
                               Main Reactor Setting
                     Monitor Tube Setting 	
    D.  Flow Rates:  Feed                   Return
    E.  Feed Tubing:  Backwash
    F.  Mixed Liquor Wasted:
    G.  Temperature in Monitor Tube:
    H.  General Housekeeping:
                    Clean
                  Replace
                                  Time:
II.  D.O. Meter
    A.  Calibration:  Adjustment (±)
    B.  Membrane:  Replace 	
III.  Chart Recorder
    A.  Ink:  Refill
    B.  Pen:  Clean
IV.  Pumps
    A.  Replace Pump Head Tubing:
                   C.  Paper:  Refill
                   D. Calibration; Adjustment(±)
    B.  Approximate Van"-speed Seeting:
V.  Other
                                    118

-------
DATA SAMPLING ROUTINE - WASTE TREATMENT PLANT

I  TOC Samples

 1)  Composite separately 50 ml grab samples of both Influent and effluent
     every 20 minutes every hour.                    	     	
 2)  Keep composite acidic from first grab sample on - check with pH paper.
 3)  At end of one hour, shake, and then filter composite into test tube.
 4)  Seal.                                          	
 5)  Label with date, time, the letter "C" (for composite), location and
     source, e.g.,

                         10-4-76
                         3-4 pm C
                         Location
 6)  Store in refrigerator.
 7)  If recorder  indicates a  "shock"  take an  inf1uent grab sample - DO NOT
     COMPOSITE  -  as  often as  warranted  - e.g., every 15 minutes instead of a
     composite.
 8)  Acidify, filter,  seal, label  (as shown)  and store:

                          10-4-76           date
                          4:25 pm  S        time, "S" for shock
                          Influent         location
                          Sharp Decrease   nature of shock

 9)  This applies only to the influent  during a shock.  Plant effluent is
     still composited.

 II   Pi Uptake

 1)  One analysis per  hour from specified location in aeration basin.
 2)  Record  temperature in bottle after 02 uptake is complete.
 3)  Label chart  paper with data, time  of sample withdrawn and temperature.
 Indicate periodically the correct time on the chart paper by placing an
 arrow on the line with the time  next to it.
                                     119

-------
DATA SAMPLING ROUTINE - INDUSTRIAL SITE
I  TOC Samples

 1)  Take 50 ml  grab samples of influent every 20 minutes.   Composite 3
     samples (150 mis  )  every hour.
 2)  Keep composite acidic from first grab sample on -  check with pH paper.
 3)  At end of one hour, shake composite, then filter composite into beaker.
 4)  Pipet 2 ml  of filtrate into clean test tube.
 5)  Pipet 2 ml  of water into the same test tube.
 6)  Seal .
     Shake.
     Label with date,  time, the letter "C" (for composite),  location, e.g.,:
 7)
 8)
                         10-4-76
                         LOCATION
                          3-4 pm C


 9)  Store in refrigerator.
10)  If recorder indicates a "shock" take a grab sample - DO NOT COMPOSITE -
     as often as warranted - e.g., every 15 minutes instead of a composite.
11)  Acidify, filter, dilute, seal, label (as shown below) and store.

                         10-4-76           date
                         4:25 pm S         time, "S" for shock
                         Industrial Site   location
                         Sharp Decrease    nature of shock

II  Metals Samples (Site 2)

 1)  Fill two 30 ml test -tubes with an aliquot from the composite for  metals
     analyses.
     Acidify.
     Label as indicated in 1-8,
     Seal.
Ill  Recording pH Meter (Site 1)

 1)  Keep eye on recording pH meter.
 2)  Periodically record time on chart.
 3)  If rapid major change occurs, take  a grab sample of influent for TOC
     analysis as listed in Steps 1-10 and 1-11.
 Indicate periodically the correct time  on the chart paper by placing an
 arrow on the line with the time next to it.
                                    120

-------
             RESULTS FROM  BIOMONITOR  flT JOINT W.T.P.  1
    600
    5MO
r\>
       789  10  11 12  123HS67B9  10 11  13 1   2  3  4  S  6  7
                                                                          CD
                                                                          TO
                                                                          m
                                                                          m
                                                                       i r> co
                                                                      — ' om
                                                                      \ i~=e
                                                                      CD m5>
                                                     o 2-
                                                    - ae :z
                                                      Ooo
                                                     -
                                                                           x
                                                                        30 ;o
                                                                        •-• mm
                                                                        O t/>
                                                                        o cr
                                                                        m
                                                                      n>
       16.9 " C
.S " C
ZS.U " C
80.0 ' C
17.6 * C
    7 fl.M.  MONDflY OCT.  4.  1976 TO 7  fl.M.  TUESDflY  OCT. 5,  1976

-------
              RESULTS FROM BIOMONITOR flT JOINT  W.T.P.  1
ro
       600
      SHO
           I	1	1	1	1	1	1	1	1	1	1	1	[
         I	1	1	1	1
                  I  I  1	I	I	1	1	I  I   I  I  i
                                                I	I	I	1	I
        789  10 11  12 1   23<456783  10 11  12 1   231567
                                                                   O
                                                                   Q
        18.2 ° C
2U.6 " C
                                                             19.0  C
    7 Fl.M. TUE50RY OCT.  5,  1976 TO  7  fl.M.  WEDNESDflT OCT.  6,  1976

-------
               RESULTS  FROM  BIGMONITOR  flT JOINT W.T.P.  1
ro
Cm)
       600
       S<40
       480
       360
       300
Q  210
       180
       120
       60
           "1	T
                           T	1	1	1	1	1	1	1	1	1	1	1	1	1  r
                 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1
 789

fl.M.



 17.S 8 C
tO 11  12  1

    NOON



    m.s ° c
                           2  3  .H  S  6  7  8  9
                                      13.3 " C
10  It  \Z  1

     HIO



    13.S ° C
                                                         2  3
                                                                   s  _J
                                                                     \
                                                                     CD
                                                                g
                                                                S  6  7
                                                              13.0 " C
    7  P.M.  WEONESOflT OCT.  6,  1976  TO 7  fl.M.  THURSDflY  OCT.  7,   1976

-------
              RESULTS FROM  BIOMONITQR  flT  JOINT  W.T.P.  1
      500
ro
                                       1	1	1	1	1	1	1	1	1	
        789
       fl.M.
10 11  12 1
    NOON
23
10 11  12 1
    mo
                            2  3
                                      6  7
                                        fl.M.
                   13.4 " C
                    m.o " c
                      12.4  C
                   12.0 ° C
     7 fl.M.  THURSDAY  OCT.  7, 1976  TO 7 ft.M.  FRIDflY  OCT. 8,  1976

-------
             RESULTS FROM  BIGMGNITGR  flT JOINT  W.T.P.  1
     600
      SUO
ro
en
               1	•	•	1	•	,	1
        783  10 It 12  1  231S67891QU131  2  3US67
        l<4.3 " C
                21.2 " C
23.9 " C
n.i ' c
12.2 " C
7 fl.M.  WEONESOflT OCT.  13,  1976 TO  7  fl.M.  THURSOflY  OCT.
                                                                  1976

-------
                RESULTS FROM  BIQMONITQi  flT JOINT  w.
                                                  T p
ro
       600
       540
       480
       430
       3SO
       300
340 f
       180
       120
       50  h-
    7  9
   P.M.

    12. J °

7 fl.M.
II ! 1 II 1 II 1 1 1 1
1 1 i 1
                                                      T	r
                                                               r- f-
10  11  12  1
    NOON

    13.3 ° C
                                      13.7 ° C
                                            13.6 " C
11.S ° C
              FRIDflY OCT.  8,  1976  TO 7 fl.M.= 5RT.UROflY OCT.  9,  1976

-------
             RESULTS FROM  BIGMONITOR flT  JOINT W.T.P.  1
*»  O  2UO -
        789  tO 11 12  1  2  3  H  S  6 7  8  9  10 H  12 1   23HS67
        11.8 ° C
17.7 ' C
20.3 ° C
13.8 * C
    7  fl.M.  THURSDflT  OCT.  14, 1976  TO  7 fl.M. FRIOflY  OCT. 15.  1976

-------
               RESULTS  FROM  BIQMQNITGR  flT JOINT  W.T.P.  1
t\>
€0
       600
       SHO
       480 -
       430
f_j

o
           I	1	1	1	1—„. f •	1	1	1	1	1	1	1	1	1   i  I  I   I  I   I  I   I
         7  8  9  10 11  12 1   2  3  4  S  6  7  8 9  10 41  12 1   2  3
        11.2 * C
               19.0 " C
23.0 ° C
19.0 " C
16.1 ' C
    7 fl.M.  FRIDflY  OCT.  15.  1976  TO 7 fl.M.  SflTUROflY OCT.  16.  1976

-------
              RESULTS FROM  BIQMGNITOR  fiT JOINT  rt.T.P.  1
      EDO
ro
           1   I .  L  I  _ I  \  I	I  I  I
                  1	1	I	1	1  1	L  L  I   I  I  I
         7  8  3  10 11 1Z  I  Z  3  «*  S  6  7  8  9  10  11 IZ  1  234S67
                                                                     5L3
                                                                     CD
         IS.8 ° C
IS.9 " C
13.0 " C
11.7 ' C
8.2 " C
    7  P.M.  SflTURDflY  OCT. 16,  1976 TO 7 fl.M.  SUNDRY OCT.  17,  1976

-------
          RESULTS  FnOM BIOMONJTOR RT  JOINT W.T.P.  1
  600
  180
  1£0
  60
                         i   i	I	i
                                          j	i
   7
   fl.n.
8  3  10
U 12
  NOON
123US678910U
\Z
HJO
                             I  2   3
              11.3 ° C
                                                              11
                                                             H 10
                                                             - 3
                                                             - 6
S  6  7
    fl.rt.
                  13.0 ' C
                         8.2 ' C
7 fl.M.  SUNDRY  OCT. 17.  1976 TO  7 fl.M.  MONOflT  OCT.  18,  1976

-------
              EFFLUENT  CGNCENTRflTI ON flT JOINT W.T.P.  1
     ISO
     135
      130
      tos
CO
   LJ
      75
      60
      30
      IS
                             ,	1	,	r
                                           1	1	1	1	1	1	1	1	r
                                      	1	1	1
78910111212314567891011131
                                                    2314567
     7 fl.M.  MONOflY OCT.  4,  1976 TO 7  fl.M.  TUESOflY  OCT.  5.  1976

-------
              EFFLUENT CGNCENTRHTI ON RT JOINT W.T.P.  1
to
ro
                                                     I	1	1	1
          I	1	1	1	1	1	1	1	1	1	1	n	1	1	1	1	1  I
                 i  i  t   i
        789 10  11  12 123456789  10 11  12  123(tS07
    7  fl.M.  TUESDRY OCT. 5,  1976  TO  7 fl.M.  WEDNE50RY  OCT.  6,  1976

-------
              EFFLUENT CONCENTRRTION flT  JOINT  W.T.P.  i
      iso
      135 -
      105
            1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	!	1	i	1	r
co
oa
                                              I	1	1	I'll
        7  8  9  10  11 12 1   2  3
567891011121234567
   7 fl.M.  WEDNESOflT OCT. 6, 1976  TO  7  fl.M.  THUR5DRY OCT.  1,  1976

-------
               EFFLUENT  CONCENTRRTI ON RT JOINT  W.T.P.  1
      150
      135
      10S
CO
   O 60
      30
      IS

          _1_	1	I	I	1	1	1	1	1	1	1	1	1	I  L  1   I  I  I   1  I   I  I
        7  8
       fl.M.
10 11  \2 1
    NOON
231S67891Q
11 12
  H10
1  2  3
                                 H  S  6  7
                                        fl.M.
     7  fl.M. THURSDflT OCT.  7,  1976  TO 7 fl.M.  FRIORT  OCT. 8,  1976

-------
             EFFLUENT  CONCENTRflTI ON flT JOINT W.T.P.  1
     ISO
CO
en
     7  fl.M.  FRIDflY OCT.  8,  1976 TO 7 fl.M. SflTURDflT OCT. 9,  1976

-------
              EFFLUENT CQNCENTRflTI ON  flT  JOINT  W.T.P.  1
CO
      ISO
      135 -
        7  8  9  10 11  IE 1
  1 fl.M. HEONESDflY  OCT.  13,  1976 TO 7 P.M. THURSDflY  OCT.  14, 1976

-------
              EFFLUENT CONCENTRflTI ON flT JOINT W.T.P.  1
      ISO
CO
      135 -
      IDS
                                                             -I
    7 fl.M. THUR5DRY  OCT.  14,  1976 TO 7 fl.M.  FRIOflY OCT.  15,  1976

-------
              EFFLUENT CONCENTRATION PIT  JOINT W.T.P.  1
      ISO
      13S -
      120 -
      I OS -
      75 -
CO  O  60
00  .
                                                     i - 1 - 1 - 1 -
      1 - 1 - 1 - 1 - 1
                           1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1 - 1
                             1	1	1	1   i  i  i
S  6  7  8  9  10 11 13  1  2  3
      30 -
      IS -
 7  8  9
A.M.
               10 11 IZ  I
                   NOON
   7 fl.M.  FRIDflT  OCT.  15,  1976 TO 7  fl.M.  SflTUROflY OCT.  16,  1976

-------
               EFFLUENT  CONCENTRflTI ON  RT JOINT W.T.P.  1
      ISO
CO
vo
   CD
   SI
      13S -
      iao
      1QS
      90
      75
      60
      30  -
      IS
                                          1 - 1
                                                  i - 1 - 1 - 1 - 1  i   r
           J	1	1	1	1	1	1	1	1	1	1	1	1	1	1  '   t  I  i   I  I   i  [
 789
fl.M.
                10  11 12  1
                    NOON
                         2345678
9 10  11 12  1
       MID
a  3  14
s  6  7
    fl.M.
    7 fl.M.  SflTUROflY  OCT.  16,  1976  TO  7 fl.M.  SUNDRY  OCT.  17.  1976

-------
               EFFLUENT CONCENTRflTI ON flT  JOINT N.T.P.  1
       13S
    O
    s:
       105
       90
       7S
0   O  60
       30
       IS
           i
                  i   l  i  i   l  i   i
                                        i  i  i   i  i   i
         7  8  3  10  11 12  1
        P.M.          NOON
231S678910U12123I4S67
                       HID               fl.M.
     7 fl.M.  SUNDRY  OCT.  17,  1976 TO 7  fl.M.  MQNDflT OCT.  18,  1976

-------
          RESULTS  FROM BIOMONITOR flT  INDUSTRIflL  SITE 1
CD
   3000
   2700
   2400
   2100
   1000
   1SOO
   1ZOO
   900
   600
   300
        .1 .  I	1	1	1	1	L
1	1	1	1	1	1	1	1
                                       §
 769  10
R.H.
                       234S678
N80M
          910U121
                 NIO
                                                     Z3HS6  7
                                                                 fl.H.
      »9.8 " C                                     80. S ' C            19.6 ' C

   7 P.M.  MONDR1T OCT.  4,  1976 TO  7 fl.M.  TUESDflY OCT.  5,  1976

-------
          RESULTS FROM  BIOMONJTOR  flT INDUSTRIflL  SITE  1
  3000
  2700
  2MOO
  2100
  1800
  1500 -
  1200 -
  900 -
  600 -
  300 -
        r  r  i  i   i  r  i  i   i  i   i  i   i
                                             i   i  i   r
              -e—e-
     789  10  11 12  1   2  3  H  S  6  I   8  9 10 11  12 1   2  3  M  S  6  7
    R.H.           NOON          '                  NXO                R.H.

     19.7 * C                                     22.1 " C           21.7 *  C

7 fl.M. TUESOflY  OCT.  5.  1976 TO 7 fl.M.  WEONESDflY  OCT.  6,  1976

-------
          RESULTS  FROM BIOMONITOR  RT  JNDUSTRIflL SITE 1
o
o
   3000
   2700
   2400
   aioo
   l»00 -
   1500
1ZOO -
   300 -
   600
   300 -
                                  r—i	1	1	1	1	1	1	1	1
       i	1	1	1
                  I	1	1	1	1	»	i	1	1	1	1	1  '   I  I  I   II   I
      789  10 UIZ  123156789  VOU  12 J23HS67
                                                                  GD
                                                                  Q
     21.0 * C

 7  fl.M. WEDNESDflY  OCT.  6, 1976  TO 7 fl.M.  THURSOflY  OCT. 1.  1976

-------
        RESULTS  FROM BIOMONITOR  flT  INDUSTRIflL SITE  1
 3000
 Z700 -
                                               i	1	1	1	1	1
                    i	1	1	1	1	1	1	1	1	1
                                                                O
                                                                0
   7  a  9 10  11 1Z  1
   fl.M.          NOON
3
-------
          RESULTS FROM  BIOMONITQR  flT INDUSTRIflL SITE 1
LD
o
   3000
   3700
   2400
   £100
   1800
   ISOO
   900
   600
   300
     i	1	1	1	1	1	r
                                 1	1	1	1	1	1	1	1	1	1	1	1  i
 7  8  9  10  11  1?  I
fl.M.          NOON
                               1 - 1 - '   '  '   '
                                                     i  i   i  i   i
                                                                    o
                                                                    CD
                         3  M  5  6  7  8  9 10  11 12  1  234567
                            .                   MID                fl.M
      19.9 " C

  7  fl.M. FRIDflT OCT.  8.  1976 TO  7  fl.M.  SflTURDflY  OCT.  9,  1976

-------
             RESULTS FROM BIOMONITOR RT  INDUSTRIRL  SITE  1
       3000
      2700 -
01
         7891011121234S0709101112123IIS07
         20.2 ' C
20.0 ' C
19.9 " C
19.9 ' C
18.0 * C
   7  fl.M.  WEDNESDRY OCT.  13,  1976 TO  7 fl.M. THURSDRT OCT.  U,1976

-------
        RESULTS FROM BIOMONITOR flT  INDUSTRIflL  SITE  1
 3000
 8700
 ZtOQ
 2100
 laoo -
 1SOO -
1200 -
 900 -
 600 -
 300  -
    7  8  9  10  11 12  1  3  3  *•  S  6  78  9  10 11  12 1   Z  3  l|  5  6  7
                                                                    CD
                                                                    o
                                                                    Q
    18.0 " C       19.0 " C             19.3 ' C       18.8 " C           17.6 ' C

7 fl.M.  THURSOflT OCT.  14,  1976 TO 7 fl.M.  FRIDRY  OCT.  15.1976

-------
         RESULTS FROM BIOMONITOR flT  INDUSTRIRL  SITE  1
  9000
  2700
  2*00
  2100
  1000
  1SOO
00   O 1200
  900
  600
  300
                         I  i   i
                                  T  I   I  i   i  i   r  t
                                                          til
                                                                        to
                                                                     o
                                                                     o
                                                                     o
            I   I  I   i
                           I	I	I	I	I	I	i   i  I  I   I  I
    7  S  •  10 It  12  1

   A.M.
                                                19 It  12 1  2  3  «  S  «  7

                                                    NIO                A.M.
    I7.i * C
                     19.1 ' C
ti.S * C
1S.2 " C
18.2 * C
7 fl.M. FRIDflY  OCT.  15,  1976 TO  7 fl.M.  SflTUROflY  OCT.  16,1976

-------
             RESULTS  FROM  BIOMONITGR  flT INDUSTRIE SITE 1
IO
   CD
      3000
      2700 -
      2400 -
      2100 -
      1800 -
      1500 -
      1200 -
      300 -
      600 -
      300  -
           I   I	1	1	1	1	1	1	1	1	1	1	1	1	1
I	1	1   I
                 I	I	I	I
                             I   I  I   I  I   I  I   I  I   I  I   I
         7   89 10  11 12  1   231456789  10  11 12  I  23  4  5  6  7
                                                                         CD
                     O
                     CD
         18.0 ° C       18.3 " C            18.1 ° C        17.3 ° C            17.0 " C

     7 fl.M.  SflTURDflY OCT.  16,  1976 TO 7  R.M. SUNDRY OCT.   17,1976

-------
              RESULTS  FROM BIOMONITOR flT  INOUSTRIflL SITE  1
       3000
       2700
       2100
       2100
       1800
       1500
o   O  1200
       900
       600
       300
            I   I  T  I  I
                                                    ••I
                                                                       10
                    6  _J
                       >s.
                       O
          7  8  •  10 11  12  1  2  3  «  S  0  7  8  9  10 11  12  I  2  3  «  S  8  7
17.0 ' C
17.1 " C
18.0 * C
17.t " C
                                                                   18.0 * C
      7  R.M.  SUNDRY  OCT.  17,  1976 TO  7 ft.M.  MONDflY OCT.  18,1976

-------
         RESULTS  FROM BIOMONITOR  flT  JOINT W.T.P.  2
  500
  ISO
                                                 , - ,   ,  ,
                          , - , - , - , - , - , - , - , - ,
       i  i  i  i   i  i  i  i  i   i  i  i  i  i   i  i  i  i  i   i  i  i  i   i
    7  8  9  10 11 12  1  2  3  H  5  6  7  8  9  10 II  12 1  2  3  M  S  6 7
7 fl.M. TUESDflT  DEC.  1,  1976 TO 7 P.M. WEDNESDHT  DEC.  8,  1976

-------
              RESULTS FfiOM -6IOMONITQR flT JOINT W.T.P.  2
      soo
      450 -
O1
                               	1	1	1	1	1	1	1	1	1	
                 i  I   I  I  1  I  ._!_.  1  I   1
        789 10  11 12  1  334567 8  9  10 11 13  1  2  3
O
a
   7 fl.M. WEONESDflT DEC, 8,  1976  TO 7 fl.M. THURSDflY DEC. 9,  1976

-------
             RESULTS  FROM BIOMGNITOR  flT JOINT W.T.P.  2
01
      SOD
      450
      400
      3SO
      300
      ZSQ -
   O  200 -
                            I	1	1	1	1	1	1	1	1	1  I   I  I  I  1
                                                                  CD
    7 P.M.  THURSDflT DEC. 9,  1976  TO  7  fl.M.  FRIDflY DEC.  10,  1976

-------
                EFFLUENT  CONCENTRRT I ON flT  JOINT  W.T.P.  2
       soo
       450 -
       400 -
       350 -
       300 -
       2so -
<£   O  200 -
       150 -
       100 -
       50 -
         7  8  9  10 11  12 1
        Q.M.          NOON
2  3  4  5  6  7  8  9  10  11 12  1
                        M10
234
567
    fl.H.
    7 fl.M.  TUESDflT DEC.  7,  1976  TO 7  fl.M.  WEDNESDflT  DEC. 8.  1976

-------
               EFFLUENT  CONCENTRflTION  flT JOINT W.T.P.  2
en
01
    CJ
       500
       450
       400
       350
       300
       350
       200
       ISO
       100
       SO
                             i  i  r
                                              I  I   T  I   I  I   I  1
            1 -.1	I 	I	I	1	1	1	1	1	I	1	III  I  I   I  I   I  I   I  I
         7  8  9 10  U 12  1

        fl.H.          NOON
3  H  5  6  7  8  9  10 11
                     MID
2  3  it  S  6  7

           fl.M.
    7 fl.M.  WEDNESDflT DEC.  8,  1976  TO 7 fl.M.  THURSDflT DEC.  9,  1976

-------
          EFFLUENT  CONCENTRRTI ON RT JOINT W.T.P.  2
  soo
  ISO -
                          1	1	1	1	1	1	1	1	1	1	T	1	1
    7  8  9 10  11  12 I
2  3 1.5  6  7 8  9  10 11 12  I
231567
7 fl.M. THURSDflY  DEC.  9,  1976 TO  7  fl.M.  FRIDflT DEC.  10,  1976

-------
           RESULTS  FROM BIOMONITOR flT  INDUSTRIflL SITE 2
tn
      SCO
      450
        7  8  9 10  11  12 1
                                                                O
    7 fl.M.  TUESOflT DEC. 7. 1976 TO 7 fl.M.  WEDNESDflT  DEC.  8,  1976

-------
            RESULTS  FROM BIOMONITOR flT  INDUSTRIflL SITE 2
      soo
en
oo
                      I	1	1	1	1	1	1——I	1	1	1	1  I
        7  8

       B.M.
10 11  12  1

    NOON
   7 fl.M.  WEDNESDflY DEC. 8,  1976  TO 7 fl.M. THURSDAY  DEC.  9. 1976

-------
            RESULTS FROM BIGMONITGR flT  INDU5TRIRL  SITE 2
01
      500
     7 fl.M.  THURSOflT DEC.  9,  1976 TO 7 fl.M.  FRIDflT DEC.  10,  1976

-------
               METflL CONCENTRflTION flT  INDU5TRIRL SITE  2
O
     a:
     o
                                                     Z  3  "4  S  6  7
                                                                 0.9
                                                                - 0.8
                                                                -0.7
                                                                - 0.6 __)
                                                                - o.s
                                                                - 0.1
                                                                - 0.3
                                                                - 0.2
                                                                - 0.1
                                                                 0.0
                                                                    O
    7  R.M. TUESOflT DEC.  7,  1976 TO  7  fl.M.  WEDNESOflY DEC.  8,  1976

-------
           METflL  CONCENTRRTION RT  INDUSTRIRL  SITE 2
                                   i	1	1	1	1	1	1	1	1	1	1	1 Q-9
i	1	1	1
i	1	1	1	r~—i
                                                                  1C
                                                                 LJ
                                                             - a.2
                                                             - o. i
                                                              0.0
     7  8  9  10 11 12  1
    fl.n.          NOON
                 3456789
                     10 11 12  1
                         HID
                                          2  3  <4
                                                 567
                                                     ft.M.
7 fl.M.  WEDNESDflY DEC.  8,  1976  TO  7 fl.M. THUR5DRY DEC.  9,  1976

-------
                METflL CQNCENTRflTIGN  flT  INDUSTRIflL SITE  2
cr>
PO
oc
o
     rxj
                                                                   0.9
                                                                  - a.a
                                                                  - 0.7
                                                                  - 0.6 _J
                                                                  - 0.5
                                                                  - O.H
                                                                  - 0.3
                                                                  - 0.2
                                                                  - 0.1
                                                                   0.0
                                                                      O
1C
o
    789
                10 n  12 i

                    NOON
     7 fl.M.  THURSORY  DEC.  9,  1976 TO  7  fl.M. FRIDflT DEC.  10,  1976

-------
. REPORT NO.
 EPA-600/2-79-180
                                   TECHNICAL REPORT DATA
                            [1'lense read Instructions on the reverse before completing)
                              2.
..TITLE AND SUBTITLE

 Development of a Biological Simulation  Monitor
 for Joint Municipal/Industrial Treatment  Systems
                                                           3. RECIPIENT'S ACCESSION'NO.
                                                           5. REPORT DATE
                                                            August  1979 Issuing date
                                                           6. PERFORMING ORGANIZATION CODE
'. AUTHOR(S)                                —	

 Ann N. Clarke,  U.  Wesley ECkenfelder, and John A. Roth
                                                           8. PERFORMING ORGANIZATION REPORT NO.
 . PERFORMING ORGANIZATION NAME AND ADDRESS
 Center for Environment Quality  Management
 Vanderbilt University
 Nashville, TN   37235
                                                           10. PROGRAM ELEMENT NO.

                                                              1BB610
                                                           11. CONTRACT/GRANT NO.
                                                               R803740
12. SPONSORING AGENCY NAME AND ADDRESS
 Robert S.  Kerr Environmental Research  Laboratory
 U.S.  Environmental  Protection Agency
 P.O.  Box 1198
 Ada,  OK  74820
                                                            13. TYPE OF REPORT AND PERIOD COVERED
                                                               Final—6/1/75-5/31/77
                                                           14. SPONSORING AGENCY CODE
                                                             EPA  600/15
 15. SUPPLEMENTARY NOTES
 16. ABSTRACT
        Evaluation of existent monitoring hardware for the ultimate  purpose of de-
  tecting the  industrial wastewater source causing chronic or acute  inefficiency
  in the performance of a joint  biological treatment facility.  The  approach rep-
  resents the  first phase of the ultimate purpose; that phase being  bench  and
  pilot scale  bio-treatment studies of selected industrial wastes at various
  loadings.  Several monitoring  techniques were applied to the  treatment systems,
  and the parameters identified  in  pretreatment guidelines were monitored  as
  measures of  removal efficiencies.
17.
                                KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
                                              b.lDENTIFIERS/OPEN ENDED TERMS
   Industrial Waste Treatment,
   Measuring Instrument,
   Monitoring,
   Warning System,
   Waste Treatment
   Wastewater
18. DISTRIBUTION STATEMENT

    Release to public
EPA Form 2220-1 (9-73)
                                                                         c. COSATI Field/Group
                                                  BioMonitor,
                                                  Combined Industrial-
                                                  Municipal Treatment,
                                                  Treatment Efficiency
                                              19. SECURITY CLASS (This Report)
                                                 Unclassified
                                              20. SECURITY CLASS (Thispage)

                                                 Unclassified
                                                                               68 D
173
                                            163

-------