Un,;ed States      Industrial Environmental Research  EPA-600/2-79-104
Environmental Protection  Laboratory          May 1979
Agency        Research Triangle Park NC 27711
Research and Development
Symposium Proceedings:
Textile Industry
Technology
(December  1978,
Williamsburg,  VA)

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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.
                        EPA REVIEW NOTICE
This report has been reviewed by the U.S. Environmental Protection Agency, and
approved for publication. Approval does not signify that the contents necessarily
reflect the views and policy of the Agency, nor does mention of trade names or
commercial products constitute endorsement or recommendation for use.

This document is available to the public through the National Technical Informa-
tion Service, Springfield, Virginia 22161.

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                                      EPA-600/2-79-104

                                               May 1979
    Symposium  Proceedings: Textile
Industry Technology (December 1978,
              Williamsburg, VA)
                    Frank A. Ayers (Compiler)

                   Research Triangle Institute
                      P. 0. Box 12194
                 Research Triangle Park, N. C. 27709
                    Contract No. 68-02-2612
                       Task No. 37
              Program Element Nos. 1AB604and 1BB610
                 EPA Project Officer: Max Samfield

              Industrial Environmental Research Laboratory
                Office of Energy, Minerals, and Industry
                 Research Triangle Park, NC 27711
                       Prepared for

              U.S. ENVIRONMENTAL PROTECTION AGENCY
                Office of Research and Development
                    Washington, DC 20460

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                        ABSTRACT

The proceedings for the "Textile Industry Technology" symposium
constitute the final report submitted to the Industrial Environmen-
tal  Research  Laboratory.  The symposium  was  held  at
Williamsburg, Virginia, December 5-8,1978.
The purpose of the symposium was to bring about an exchange of
ideas in three interrelated areas—emission control, energy conser-
vation,  and material recovery.  Also  a  session on  assessment
methodology was presented. This was the first symposium on tex-
tile industry  technology  sponsored  solely by the United States
Environmental Protection Agency. This meeting was EPA's most
extensive technology transfer activity  in the  textile area,  an
activity dedicated to support the attainment of pollution control and
energy and material conservation.
                              11

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5 December 1978
                                    CONTENTS

                                                                              Page
Keynote Address	1
  Stephen J. Gage

Session I: IMPACT OF LEGISLATION ON POLLUTION
          CONTROL IN THE TEXTILE INDUSTRY
    Max Samfield, Session Chairman

Air Pollution Control in the Textile Industry
  Donald F. Walters1"

Water Pollution Control in the Textile Industry	7
  Robert B. Schaffer

RCRA and the Textile Industry	11
  Harry W. Trask

The Textile Industry Looks at Pollution Control
  Don K. Hill1"

Session II: WASTEWATER POLLUTION CONTROL TECHNOLOGY
    W. Wesley Eckenfelder, Session Chairman

Origin and Internal Control Options for Priority Pollutants in the Textile Industry	17
  Edwin L. Barnhart

Contact Filtration for Textile Wastewater Pollution Control in Poland	23
  Jerzy Kurbiel* and
  Wieslaw Zymon

Use of Powdered Activated Carbon for Textile Wastewater Pollution Control	37
  David G. Button* and
  Francis L. Robertaccio

Activated Carbon Adsorption for Textile Wastewater Pollution Control	51
  E. J. Schroeder*  and
  A. W. Loven
•Indicates speakers
'Indicates papers presented at the
 conference but not submitted for publication
                                       iii

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                                   CONTENTS

                                                                             Page
Biological Treatment of Textile Waste by Aeration	61
  T. A. Alspaugh,
  John Hodges, and
  Arthur Toompas*

The Use  of the Coagulation-Clarification Process in the Treatment
    of Textile Wastewaters
  John H. Koon*

6 December 1978

Session II: WASTEWATER POLLUTION CONTROL TECHNOLOGY (continued)

A Fundamental Approach to Application of Reverse Osmosis for Water
    Pollution Control	73
  S. Sourirajan* and
  Takeshi Matsuura

Hyperfiltration of Nonelectrolytes: Dependence of Rejection on Solubility
    Parameters	107
  H. G. Spencer* and
  J. L. Gaddis

Separation of Toxic Substances by Hyperfiltration	115
  J. Leo  Gaddis* and
  H. Garth Spencer

Session III: AIR POLLUTION CONTROL TECHNOLOGY
    Donald F. Walters, Session Chairman

Incineration and Heat Recovery in the Textile Industry	123
  William H. Hebrank

Fixed Bed Carbon Adsorption for Control of Organic Emissions	129
  W- Macon Sheppard

Fluidized Bed Activated Carbon Adsorption	141
  Ram Chandrasekhar* and
  Carmen M. Yon

Catalytic Oxidation of Hydrocarbon Fumes	153
  Richard E. Githens*  and
  Donald M. Sowards

Radiation Curing for Textile Coating	163
  William K. Walsh* and
  B. S. Gupta
                                       iv

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                                  CONTENTS

                                                                            Page
Control of Airborne Particulates in Textile Plants	171
  Mansour H. Mohamed* and
  Arthur C. Bullerwell

Session IV: SOLID WASTE POLLUTION CONTROL TECHNOLOGY
    P. Aarne Vesilind, Session Chairman

Textile Sludge Characterization	177
  Robert G. Shaver* and
  Deborah K. Guinan

Dewatering of Waste Activated Sludge	183
  Eugene Donovan. Jir.

7 December  1978

Session IV: SOLID WASTE POLLUTION CONTROL TECHNOLOGY (continued)

Characteristics of Activated Sludge Affecting Solid-Liquid Separation
  Joseph A. FitzPatrick1"

Rationale for Sludge Management in a Wastewater Treatment Plant	197
  P. Aiarne Vesilind

Textile Sludge Treatment and Disposal	201
  David H. Bauer,*
  John .P. Woodyard, and
  Stephen P. Shelton

Session V: ASSESSMENT METHODOLOGY
    Dale A. Denny, Session Chairman

Level 1 Measurement Procedures for Effluent Characterization	213
  R. G. Merrill, Jr.,*
  L. D. Johnson, and
  J. A. Dorsey

Short-Term Biotesting of Environmental Effluents	225
  Shahbeg S. Sandhu

The Testing of Environmental Samples for Mutagenicity and Carcinogenicity
    Using Microbial Assay Systems 	231
  Larry D. Claxton,*
  Joellen Huisingh, and
  Michael Waters

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                                   CONTENTS

                                                                             Page
Cellular Toxicity of Liquid Effluents from Textile Mills	239
  James A. Campbell,
  Neil E. Garrett,*
  Joellen L. Huisingh, and
  Michael D. Water

Repeated-Exposure Toxicology Studies	249
  Robert J. Weir
  (Presented by Ross Hart)

Assessment of Textile Waste Toxicity with Marine Bioassays 	251
  Gerald E. Walsh* and
  Lowell H. Bahner

Freshwater Toxicity Tests Related to the Textile Industry	273
  William B. Horning, II* and
  Timothy W. Neiheisel

Effluent Guidelines Division Procedures for Measuring Priority Pollutants	281
  Roger D. Holm

Organic Sampling and Analysis for Environmental Assessment	-/... 297
  Philip L. Levins and
  Judith C. Harris*

Measurement of Color in Textile Dyeing Wastewaters	307
  Linda W. Little

Use of Bioassay Screening Techniques for NPDES Permits	311
  W. H. Peltier* and
  L. B. Tebo,  Jr.

8 December 1978

Session VI:  ENERGY AND MATERIALS CONSERVATION
    John R. Rossmeissl, Session Chairman

Reclamation of Warp Sizes Using Thermal Precipitation	317
  Warren S. Perkins,*
  Robert P. Walker, and  .
  Leo J. Hirth

An Industrial Wastewater Recirculation System for the Fibrous Glass
    Textile Industry	323
  S. H. Thomas* and
  D. R. Walch
                                       VI

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                                   CONTENTS

                                                                            Page
Optimization of Hyperfiltration System for Renovation of Textile Wastewaters	331
  S. M. Ko* and
  P. G. Grodzka

Solvent Recovery from Textile Dryers 	345
  Nathan R. Shaw

Solvent Dyeing of Nylon Carpet Using the STX Solvent Dyeing Process 	347
  Charles C. Wommack* and
  M. Pierre Favier

Reconstitution and Reuse of Dyebaths	363
  Wayne C. Tincher,*
  Fred L. Cook,
  L. Howard Olson, and
  W. W. Carr
                                       vii

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                                  KEYNOTE ADDRESS

                                      Stephen J. Gage*
  When I was sent an advance copy of the pro-
gram for this symposium, I was pleased for
many reasons. First of all, I noted that this is a
"multimedia" conference indicating that we in
EPA and, hopefully, the textile industry as
well, recognize that potential pollution prob-
lems exist in the air, in the water, and on land.
The interrelationship among these three media
must be  recognized  in  solving all  pollution
problems. For example, one may solve an air
pollution problem only to discover that a more
severe water pollution problem  has been cre-
ated in the process. Also, we have found  in-
stances where toxic materials improperly dis-
posed of in landfills have leached out and
polluted local ground waters.
  Second, I was pleased  to see that govern-
ment agencies other than EPA's Office  of
Research and Development are represented:
The Department of Energy has a definite role
to play, indicating recognition of the need for
energy  conservation along with  requirements
for  adequate  pollution  control.  Similarly,
EPA's Office of Air and Waste Management
and the Office of Health and Ecological Effects
are  represented,  recognizing  the  interde-
pendence of our environmental problems.
  Third, I realized in studying  the  program
that government (both Federal and State), the
textile industry, universities, and equipment
manufacturers  are  represented  in good bal-
ance. No one has a  monopoly on knowledge,
and it is necessary that these four segments of
our  society share their knowledge and strive
toward  a common goal: namely, to eliminate
whatever pollution  problems industry  may
have and do so in the most efficient and cost-
effective manner.
  Fourth, I note an entire session is devoted to
methodology, with respect both  to analytical
techniques and to bioassays.  We  sometimes
tend to fall in love with numbers without fully
   •Assistant Administrator for Research and Develop-
   ment, U.S. EPA, Washington, DC.
realizing how these numbers were derived and
without regard for  their accuracy. We  must
continue to be critical of  our methods and
refine them to the point where we are  confi-
dent of the results obtained.
  The purpose of setting industrial emissions
standards is to protect the health of our people.
These standards must, therefore, be the best
reflection of what we know about the short-
term and long-term health effects of the  pollu-
tants. When new  data become available, it is
essential that this information be transferred
to other government agencies, to private scien-
tific groups, and to  industries at the earliest
possible moment.
  The setting of industrial pollution discharge
standards is a very complex process involving
the legislative and judicial arms of the govern-
ment, numerous government and private scien-
tific groups, industries, and the public at large.
It is thus difficult to clear  away the smog of
emotions surrounding  pollution  issues and
make decisions on a rational scientific  basis.
Conferences such as this serve as a sounding
board for scientific  thought,  where industry,
universities, and  government may exchange
ideas and develop new ones. Court cases  drain
the resources of  both industry  and the tax-
payer.  When possible, it is better to resolve
problems at the scientific roundtable than to
testify in court!
  I am well aware of the spirit of cooperation
that currently exists between the Environmen-
tal  Protection Agency and the American Tex-
tile  Manufacturers'  Institute  (ATMI),  the
Northern Textile  Association, and  the Carpet
and Rug Institute. We hope that such coopera-
tion will continue to exist and that out of the
mass of data being accumulated will come real-
istic, cost-effective controls, which both gov-
ernment and industry will consider to be  in the
best interests of the nation.
  I know there is much skepticism on the part
of many persons concerning the work of EPA.
There have been charges by industry that we
are moving too fast and too soon with too little
data on which to base decisions. We are further

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accused of putting industry "out-of-business"
because of what is termed excessive pollution
control costs.
  The record shows otherwise: The cost of pol-
lution control contributes less than one-half of
one percent to the annual rate of inflation (ref.
1). Pollution control creates  more jobs as it
displaces. Even after adjusting for  inflation,
corporate profits continue to rise and unem-
ployment is the lowest it has been in several
years.
  As a result of pressures by EPA to reduce
pollution, industry is finding  less  harmful,
substitute materials in many instances. In still
other cases, money is actually saved through
simultaneous material recovery  and energy
conservation resulting from efforts  to elimi-
nate pollutant discharges to rivers, lakes, and
municipal treatment plants. An example of this
is the recovery  of polyvinyl  alcohol sizing
agents through the use of ultrafiltration. Judg-
ing from your  program, many  such useful
emerging technologies will be discussed during
the next 3 days.
  The textile industry has been a major con-
tributor  to  our American standard  of living.
There are about 7,000  textile  plants in the
United States,  and most of these are on the
eastern seaboard. These  plants employ almost
one  million persons  and produce  products
whose gross sales amount to $40 billion  an-
nually, representing 0.6  percent of our gross
national product on a value-added basis, (ref. 2)
  The production  of all  these goods requires
water —lots of water. The textile industry dis-
charges 1 billion gallons of water each day into
lakes, streams, and municipal treatment sys-
tems. The total value of  this water,  including
the dissolved  solids contained  in it and the
energy in the form of heat, amounts to over $1
million per day. What a golden opportunity to
combine pollution control with energy and ma-
terial recovery!
  Industry, however, is not the only segment
of our society to cast stones  at EPA. Envi-
ronmental groups, by contrast, accuse EPA of
not moving fast enough. They  say little has
been  accomplished. Again, the  record shows
otherwise: Fish are returning to our lakes and
streams. As an example,  salmon are returning
to the Connecticut River for the first time in
years. Fish and other marine life are returning
to the Willamette River, the Buffalo River, the
Detroit River, and the Houston Ship Channel.
(ref. 1)
   Similar, though  less  dramatic,  improve-
ments have been made in reducing air pollu-
tion:  Carbon monoxide levels have fallen, par-
ticulate emissions have been reduced, and SOX
levels are  measurably smaller. Hopefully,
these trends will continue.
   The emphasis on pollution control has been
changing  in  recent years, with regulations
becoming more  and more stringent as  addi-
tional environmental hazards are recognized. I
will not dwell on any of these regulations since
I am certain these will be discussed by the
overview  speakers.
   In 1976, a Consent Decree settling a court
suit  filed  under the Federal Water Pollution
Control Act was signed by EPA and four envi-
ronmental groups in which EPA agreed  to set
effluent standards for 65 classes of compounds
for 21  industries,  including the textile in-
dustry. As a result of the Consent Decree, the
Effluent Guidelines  Division of EPA published
a list of 129 organic pollutants and metals on
which they proposed to set regulations. These
have become known as the "priority toxic pol-
lutants."  Subsequently,  amendments to the
water pollution legislation, known as the  Clean
Water Act of 1977, converted the  terms of the
consent decree into law. Specifically, the 1977
Act requires the application of best available
technology economically achievable (BATEA)
to control the priority pollutants by July 1,
1984.
  These regulations,  plus  the advent of the
Resource Conservation and Recovery Act, the
Toxic Substances Control Act, and the  forth-
coming pretreatment  standards  of the  Clean
Water Act, place a great burden on the textile
industry.  However, we are also aware of the
progress the textile industry is making toward
solving some of  these  problems. Most textile
plants  now have installed  biological aeration
systems, clarifiers, and finishing ponds, which
have enabled the majority of them to meet the
1977 guidelines.
  Tertiary treatment systems are being sys-
tematically investigated. One such large-scale
investigation is, of course, the ATMI/EPA joint
project to study the best available technology
economically  achievable  (BATEA), scheduled
to be completed  this spring. Economic as well
as technical studies are being conducted. Some

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textile plants have already installed advanced
water  pollution control equipment such  as
reactor/elarifiers and carbon columns in an-
ticipation of the regulations.
  Thus far, my primary emphasis has been on
water pollution problems, but I did not inten-
tionally mean to neglect potential air pollution
problems. I am pleased that your program in-
tends to  cover this aspect. As you well know,
the textile industry uses solvents and resins of
many types; in dyeing and finishing operations
these are volatilized. Once again, ATMI and
EPA are cooperating in attempting to deter-
mine the nature and extent of these air emis-
sions.  Several  textile  finishing  plants have
volunteered to have an EPA contractor mea-
sure the  amount and composition of their emis-
sions. Under other contracts, a state-of-the-art
survey for air pollution control technology is
being made, which may result in a demonstra-
tion grant.
  As you are aware, on August 7,1977, Presi-
dent Carter signed PL 95-95, the Clean Air Act
Amendments of 1977. This brings on new res-
ponsibilities for the  operators of stationary
source facilities. This will also change the con-
ditions for obtaining permits  for expanded
plants and new plants.
  Some textile plants have already recognized
that they have a serious air pollution problem
and have installed incinerator-heat  recovery
systems  or carbon columns. Thus, they also
recognize  the  opportunity for  energy  and,
possibly, material  recovery along  with  air
pollution control.
  I  know that the list of suspected harmful
compounds grows larger and larger and that
the  "pollutant  of  the month"  phase  is  now
uttered jokingly. It is, however, no joking mat-
ter, for  the incidence of  cancer continues to
rise significantly. It is, nevertheless, a compli-
ment to our society that we are now balancing
our mad  rush to produce more and more con-
sumer goods,  regardless  of long-term conse-
quences,  with concern for the long-term health
of our population.
   Improved  epidemiological  studies, better
 analytical techniques, and more sophisticated
 bioassays are beginning to pinpoint the cul-
 prits in our environment, and we are beginning
 to do something about it. Rules and regulations
 governing such substances as asbestos, PCB's,
 PBB's, vinyl chloride, phenols, chromium, and
 sulfides are only the beginning.
   We are fully cognizant, however, of the eco-
 nomic  problems facing the textile  industry,
 such as its low profit margin and the threat of
 foreign imports.  It  is  definitely not EPA's
 policy to ignore the economic aspects of an in-
 dustry.
   The Toxic Substances Control Act  states, in
 one  of  its  three  policy   statements,  that
 "authority over chemical substances and  mix-
 tures should be exercised in such a manner as
 not to impede unduly  or create unnecessary
 economic barriers to technological innovation."
 (ref. 3)  This  meeting, sponsored  by EPA, is
 testimony to the fact that EPA intends to pro-
 mote technological innovation when such tech-
 nology is consistent with our planned policy of
 pollution control at minimum cost to the indus-
 try and to the public.
REFERENCES

1.  Remarks by the Honorable Barbara Blum,
    Deputy  Administrator,  U.S. EPA,  pre-
    pared for delivery before the Water Pollu-
    tion Control Federation, Washington, DC,
    March 29,1977.
2.  Information obtained from Mr. O'Jay Niles,
    Director of Technical Services, American
    Textile Manufacturers' Institute.
3.  Quoted from the Toxic Substances Control
    Act by the  Honorable Douglas M. Costle,
    Administrator, U.S. EPA, at the Center for
    Continuing Education Seminar on the Fed-
    eral Regulation of Environmental Carcino-
    gens, the Capital Hilton Hotel, Washing-
    ton, DC, April 12, 1977.

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Session I: IMPACT OF LEGISLATION ON POLLUTION CONTROL
              IN THE TEXTILE INDUSTRY

             Max Samfield, Session Chairman

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         WATER POLLUTION CONTROL IN THE TEXTILE INDUSTRY

                                    Robert B. Schaffer*
Abstract

  The textile industry was one of 27 categories
of point sources for which effluent limitations
and standards were established under the Fed-
eral Water Pollution Control Act Amendments
of 1972. The first regulations promulgated by
the Administrator of EPA affecting the textile
industry appeared in  the Federal Register in
July 1974. Pretreatment regulations for exist-
ing sources in the textile point source category
appeared in the Federal Register in May 1977.
These regulations set forth effluent limitations
for existing sources, new  source performance
standards (NSPS), andpretreatment standards
for the textile industry. The pollutant param-
eters addressed are biochemical oxygen  de-
mand (BOD), chemical oxygen demand (COD),
suspended solids, phenols, sulfides, chromium,
color, and pH. And for the wool scouring seg-
ment of the industry,  oil and grease were also
limited.

  The emphasis of the water pollution control
program changed on  June 7, 1976,  when the
EPA signed an agreement that settled four
lawsuits  brought against  the Agency by the
Natural Resources  Defense Council and the
Environmental Defense Fund. As a result of
this settlement  agreement, EPA is charged
with the task of developing and promulgating
effluent limitations guidelines and standards
for  65 toxic substances. This is to be done for
21 major industry categories of which textiles
is one.
  Table 1 is a list of the 21 major industries set
forth in the settlement agreement. Table 2 is a
list  of the 65 chemical  substances for which.ef-
fluent limitations and guidelines and N8P8 and
pretreatment standards are to be developed.
Since the list of 65  chemical substances is
somewhat generic, the Agency was faced with
the  problem of how to identify specific chem-
  *Director,  Effluent  Guidelines Division,  U.S.  En-
  vironmental Protection Agency, Washington, DC.
ical substances that would meet the require-
ments for addressing the 65 substances listed
in the settlement agreement. Table 3 is a list of
129 specific chemical substances (114 organics,
13 heavy metals, cyanide, and asbestos) repre-
sentative of the 65 generic substances set forth
in the settlement agreement.
   The 1977 Amendments to the Clean Water
Act recognized the significance of the settle-
ment agreement  and emphasized the impor-
tance of the Agency's toxics control strategy.
The new Act directed EPA to concentrate on
the pollution problems causing the most con-
cern and to reevaluate the areas where prog-
ress had already been made. Of the 129 chem-
icals mentioned earlier, 29 have been deter-
mined to be most significant in textile effluents
(see Table  4). Others have been suggested as
possible constituents of textile mill wastes by
industry sources but have not been detected in
the field sampling program and are not pres-
ently considered as important as the 29 chem-
icals in Table  4. The control of these sub-
stances will be the subject of the best available
technology (BAT),  NSPS, and  pretreatment
regulations for toxic pollutants.
   The progress in controlling  nontoxic  dis-
charges through  the earlier effluent limita-
tions was reflected in Section 304 (b)(4) of the
Act which  mandated that conventional pollut-
ants such as BOD, COD, suspended solids, and
pH be controlled under best conventional pol-
lutant control technology (BCT). This replaced
BAT for control of conventional pollutants. If it
is determined that effluents from some textile
subcategories contain only conventional pollut-
ants,  EPA would  issue BCT regulations  for
those subcategories when the BAT guidelines
for toxics  are  issued. Congress specified that
BCT could  be equal to or more stringent than
best practicable treatment (BPT). BCT will be
determined for  each industrial  subcategory
after  balancing  the costs with  the effluent
reduction benefits. BCT permits would not be
eligible for economic variances or water qual-
ity variances.
  Not all pollutants are classified as conven-
tional or toxic pollutants under the Act. Pollut-

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                           TABLE 1. INDUSTRIES COVERED BY CONSENT DECREE
         Timber products processing
         Leather tanning and finishing
         Steam electric power plants
         Iron and  steel manufacturing
         Petroleum refining
         Nonferrous metals manufacturing
         Paint and ink formulation and printing
         Auto and other laundries
         Paving and roofing materials
         Ore mining and dressing
         Coal mining
                       Textile mills
                       Soap and detergent manufacturing
                       Plastic and synthetic materials manufacturing
                       Pulp and paperboard mills; converted paper products
                       Rubber processing
                       Miscellaneous chemicals
                       Machinery and mechanical products manufacturing
                       Electroplating
                       Inorganic chemicals manufacturing
                       Organic chemicals manufacturing
                              TABLE 2. SETTLEMENT AGREEMENT POLLUTANTS
Acenaphthene
Acrolein
Acrylonitrile
Aldrin/dieldrin
Antimony and compounds
Arsenic and compounds
Asbestos
Benzene
Benzidine
Beryllium and compounds
Cadmium and compounds
Carbon tetrachloride
Chlordane
Chlorinated benzenes
Chlorinated ethanes
Chloroalkyl ethers
Chlorinated naphthalene
Chlorinated phenols
Chloroform
2-chlorophenol
Chromium and compounds
Copper and compounds
Cyanides
DDT and metabolites
Dichlorobenzene
Dichlorobenzidine
Dichloroethylenes
2,4-dichlorophenol
Dichloropropane and dichloropropene
2,4-dimethylphenol
Dinitrotoluene
Diphenylhydrazine
Endosulfan and metabolites
Endrin
Ethylbenzene
Fluoranthene
Haloethers
Halomethanes
Heptachlor and metabolites
Hexachlorobutadiene
Hexachlo rocyclohexane
Hexachlorocyclopentadiene
Isophorone
Lead and compounds
Mercury and compounds
Naphthalene
Nickel and compounds
Nitrobenzene
Nitrophenols
Nitrosamines
Pentachlorophenol
Phenol
Phthalate esters
Polychlorinated biphenyls
Polynuclear aromatic hydrocarbons
Selenium and compounds
Silver and compounds
2,3,7,8-tetrachlorodibenzo-p-dioxin
Tetrachloroethylene
Thallium and compounds
Toluene
Toxaphene
Trichloroethylene
Vinyl chloride
Zinc and compounds

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             TABLE 3. SPECIFIC CHEMICAL SUBSTANCES TO BE EXAMINED
1, Acenaphthene*
2. Acrolein»
3. Acrylonitrile*
4. Benzene*
S. Benzid'me*
6. Carbon tetrachloride*
Chlorinated benzenes*
7. Chlorobenzene
8. 1,2,4-trichlorobenzene
9. Hexachlorobenzene
Chlorinated ethanes*
10. 1,2-dichloroethane
11. 1,1,1-trichloroethane
12. Hexachloroethane
13. 1,1-dichloroethane
14. 1,1,2-trichloroethane
15. 1,1,2,2-tetrachloroethane
16. Chloroethane
Chloroaikyl ethers*
17. bis(chloromethyl) ether
18. bis(2-chloroethyl) ether
19. 2-chloroethyl vinyl ether
Chlorinated napthalene*
20. 2-chloronaphthalene
Chlorinated phenols*
21. 2,4,6-trichlorophenol
22. Panachlorometa cresol
23. Chloroform*
24. 2-chlorophenol*
Dichloro benzenes*
25. 1,2-dichlorobenzene
26. 1,3-dichlorobenzene
27. 1,4-dichlorobenzene
Dichlorobenzidine*
28. 3,3-dichlorobenzidine
Dichloroethylenes*
29. 1,1-dichloroethylene
30. 1,2-trans-dichloroethylene
31. 2,4-dichlorophenoJ*
Heptachlor and metabolites*
100. Heptachlor
101. Heptachlor epoxide
Hexachlorocyclohexane*
102. a-BHC-alpha
103. b-BHC-beta
104. r-BHC (lindane)-gamma
105. g-BHC-delta
Polychlorinated biphenyls (PCB'sj*
106. PCB-1242 (Arochlor 1242)
Dichloropropane and dichloropropene*
32, 1,2-dichloropropane
33. 1,3-dichloropropylene
34. 2,4-dimethylphenor
Dinitrotoluene*
35. 2,4-dinitrotoluene
36. 2,6-dinitrotoluene
37. 1,2-diphenylhydrazine*
38. Ethylbenzene*
39. Fluroanthene*
Haloethers*
40. 4-chlorophenyl phenyl ether
41. 4-bromophenyl phenyl ether
42. bis(2-chloroisopropyl) ether
43. bis(2-chloroethoxy) methane
Halomethanes*
44. Methylene chloride
45. Methyl chloride
46. Methyl bromide
47. Bromoform (tribromomethane)
48. Dichlorobromomethane
49. Trichloroflouoromethane
50. Dichlorodifluoromethane
51. Chlorodibromomethane
52. Hexachlorobutadiene*
53. Hexachlorocyclopentadiene*
54. Isophorone*
55. Naphthalene*
56. Nitrobenzene*
Nitrophenols*
57. 2-nitrophenol
58. 4-nitrophenol
59. 2,4-dinitrophenol*
60. 4,6-dinitro-o-cresol
Nitrosamines*
61. N-nitrosodimethylamine
62. N-nitrosodiphenylamine
63. N-nitrosodi-n-propylamine
64. Pentachlorophenol*
65. Phenol*
107. PCB-1254 (Arochlor 1254)
108. PCB-1221 (Arochlor 1221)
109. PCB-1232 (Arochlor 1232)
110. PCB-1248 (Arochlor 1248)
111. PCB-1260 (Arochlor 1260)
112. PCB-1016 (Arochlor 1016)
113. Toxaphene*
114. Antimony (total)*
115. Arsenic (total)*
116. Asbestos (fibrowl*
117. Beryllium (total)*
118. Cadmium (total)*
Pthlate esters
66. bis(2-ethylhexyl) phthalate
67. Butyl benzyl phthalate
68. di-n-butyl phthalate
69. di-n-octyl phthalate
70. Diethyl phthalate
71. Dimethyl phthalate
Polynuclear aromatic hydrocarbons*
72. 1,2-benzanthracene
73. Benzo(a)pyrene (3,4-benzopyrene)
74. 3,4-benzofluoranthene
75. 11,12-benzofluoranthene
76. Chrysene
77. Acenaphthylene
78. Anthracene
79. 1,12-benzoperylene
80. Fluorene
81. Phenanthrene
82. 1,2,5,6-dibenzanthracene
83. lndenol(1,2,3-cd)pyrene
84. Pyrene
85. Tetrachloroethylene*
86. Toluene*
87. Tryichloroethylene*
88. Vinyl chloride (chloroethylene)*
Pesticides and metabolites
89. Aldr'm*
90. Oieldrin*
91. Chlordane*
DDT and metabolites
92. 4,4'-OOT
93. 4,4'-DDE (p,p'-DDX)
94. 4,4'-DDD (p,p'-TDE)
Endosulfan and metabolites*
95. a-ensodulfan-alpha
96. b-endosulfan-beta
97. Endosulfan sulfate
Endrin and metabolites*
98. Endrin
99. Endrin aldehyde
119. Chromium (total)*
120. Copper (total)*
121. Cyanide (total)*
122. Lead (total)*
123. Mercury (total)*
124. Nickel (total)*
125. Selenium (total)*
126. Silver (total)*
127. Thallium (total)*
128. Zinc (total)*
129. 2,2,7,8-tetrachlorodibenzo-p-dioxin (TCDOI*
'Specific compounds and chemical classes as listed in the consent decree




Note: Ambiguous compounds or classes of compounds are underlined.

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               TABLE 4. MOST SIGNIFICANT TOXIC POLLUTANTS IN TEXTILE WASTEWATERS
Acrylonitrile
Benzene
1,2,4-trichlorobenzene
2,4,6-trichlorophenol
Parachlorometacresol
Chloroform
1,2-dichlorobenzene

Ethylbenzene
Trichlorofluoromethane
Naphthalene
N-nitrosodi-n-propylamine
Pentachlorophenol
Phenol
bis(2-ethylhexyl) phthalate

Tetrachloroethylene
Toluene
Trichloroethylene
Antimony
Arsenic
Cadmium
Chromium

Copper
Cyanide
Lead
Mercury
Nickel
Selenium
Silver
Zinc
 ants such as color do not fall into either cate-
 gory and  are called nonconventional pollut-
 ants. If it is determined that effluents from tex-
 tile subcategories require color removal, EPA
 would issue BAT regulations for this noncon-
 ventional pollutant when the BAT guidelines
 for toxics are  issued. Unlike regulations cover-
 ing conventional or toxic pollutants, economic
 variances and water quality variances can be
 granted.
   It is  clear  that  the effluent  regulations
 presently under consideration for the textile
 industry include toxic, conventional, and non-
 conventional pollutants. While  the effort has
 become known as the BAT Revision Program,
 the regulations include NSPS and pretreat-
 ment standards in addition to effluent guide-
 lines for dischargers to receiving waters. The
 development and implementation of pretreat-
 ment standards for mills discharging into pub-
 licly owned treatment  works (POTW) is the
 subject of a separate paper. However, a few
 comments may be helpful.
   The general pretreatment regulations were
 promulgated on June 26, 1978. The major com-
 ponents of the  Agency's pretreatment  strat-
 egy include: (1) technology based pretreatment
 standards for toxic pollutants, (2) strong en-
 couragement, including financial incentives for
 local enforcement of pretreatment standards,
 and (3)  modifications  of the standards  for
POTW with documented pollutants removal ef-
ficiencies. The pretreatment standards will be
developed by applying BAT decision criteria to
indirect  dischargers  in accordance  with the
Agency's pretreatment strategy with an aim
toward  limiting  the impact  of textile  dis-
chargers  on POTW's and  receiving  waters
while avoiding to the extent  possible redun-
dant treatment by industry and municipalities.
  The settlement agreement set forth a sched-
ule for the  textile industry program to com-
plete the technical and economic studies and to
propose and promulgate regulations. The tech-
nical report that contains the findings of our
contractor, Sverdrup  & Parcel, St. Louis, Mis-
souri, has been circulated to other Federal of-
fices, States,  industry, and other  public in-
terest groups for review and  comment. The
draft economic analysis has also been  com-
pleted by Development Planning and Research
Associates, Inc., Manhattan, Kansas. Soon the
technologies  available for control and  treat-
ment of  various pollutants  will be evaluated
with  the  cost  and economic  impacts of the
various options and with the toxicity and ex-
posure levels of the various pollutants. This in-
tegration of technical, economic, and environ-
mental considerations will culminate in a pro-
posed  regulation for  the textile industry in
May 1979, with final promulgation expected in
December. As  we proceed  to  develop these
standards, we plan to continue to invite active
participation —public, industrial, community,
as well as environmental groups —and we will
continue  to solicit industrial input and assist-
ance.
                                             10

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                         RCRA AND THE TEXTILE INDUSTRY

                                      Harry W. Trask*
Abstract

  Congress passed the Resource Conservation
and Recovery Act (RCRA) in October 1976. The
stated objectives of RCRA are to promote the
protection of health and the environment and
to conserve valuable  material and energy re-
sources. The Act intends that these objectives
be achieved by: providing technical and finan-
cial assistance to State and local governments
for development and  implementation of solid
waste management plans; prohibiting future
open dumping on land and requiring upgrading
or closing of existing open dumps; regulating
the  treatment,  storage,  transportation,  and
disposal of hazardous  waste; promulgating
guidelines for solid waste management prac-
tices and systems; conducting a research and
development program for improved solid waste
management and resource  conservation tech-
niques; demonstrating improved  solid waste
management and  resource conservation and
recovery systems; and establishing a cooper-
ative effort among Federal, State,  and local
governments and private enterprises.
  The Act statutorily establishes the Office of
Solid Waste within EPA to guide the imple-
mentation of the law and establishes  a Fed-
eral/State/local   government  partnership   to
share the implementation. The major thrusts of
the efforts that will be required by this partner-
ship are: land protection through regulation
and control of wastes and waste disposal oper-
ations;  regulations to control the hazardous
waste stream from "cradle to grave;"reduction
of the waste stream through increased resource
recovery and waste reduction efforts; public
education programs with rapid dissemination
of all types of solid and hazardous waste
management information materials; and exten-
sive public participation in the development
and improvement of solid waste management
throughout the Nation.
  *Program Manager, Hazardous Waste  Management
  Division, U.S. EPA, Washington, DC.
  The regulatory part of the Act, the part deal-
ing with control of hazardous wastes, will be
the subject of the remainder of this paper. But
first, consideration will be given to the overall
problem of hazardous wastes.

THE HAZARDOUS WASTE PROBLEM

  According to the results of 17 recent EPA in-
dustry studies, an estimated 34 million metric
tons (wet basis) of potentially hazardous  in-
dustrial  waste were generated in 1977. The
amount generated is expected to increase with
industry growth and more pollution control.
Approximately 80 percent of this waste is man-
aged onsite by the generators, the remaining
20 percent being hauled offsite for disposal by
contractors.
  In the textile industry, certain  wastewater
treatment  sludges may be hazardous wastes
depending on their constituents. For example,
sludges from wool scouring and certain fabric
dyeing and finishing operations may contain
toxics  such as lead, chromium, arsenic, cad-
mium, mercury, etc. It is estimated that about
1.7  million metric tons (wet weight) of hazard-
ous or potentially hazardous wastes were gen-
erated by the textile industry in 1977.
  The method most  used for  disposal of haz-
ardous industrial waste is lagooning in unlined
surface impoundments, accounting for nearly
half of  the  total. The second most  common
practice  is  dumping in  nonsecure  landfills.
Together these receive almost 80 percent of all
hazardous wastes. An additional 10 percent is
accounted  for by  uncontrolled incineration.
Thus, 90 percent of the potentially hazardous
wastes generated by the 17 key industries are
managed by practices inadequate for protec-
tion of human  health and the environment.
  The  consequences  of illegal or  inadequate
disposal  can  be  quite  harmful.   Well-docu-
mented cases  of groundwater contamination
by leachates, surface water contamination  by
runoff, direct contact poisoning, various forms
of air pollution, and damage from  fire and ex-
plosions have occurred and will continue to oc-
                                            11

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 cur as long as unacceptable disposal practices
 are used. Most  incidents  result from  open
 dumping of hazardous wastes  on  isolated
 tracts of land  or from indiscriminate accept-
 ance of all wastes  regardless of hazard  by
 municipal landfills.
   For example, in 1972 eleven people in Per-
 ham, Minnesota were striken with the symp-
 toms of arsenic poisoning. Upon investigation
 it was discovered that they had been drinking
 water from a new well that had been drilled
 near a 30-year-old, unmarked deposit of left-
 over grasshopper bait. Water samples from
 the well were found to contain more than 400
 times the amount of arsenic maximally allow-
 able in drinking water in the United States.
   EPA's Office of Solid Waste  has compiled
 over 400 case studies of such incidents primar-
 ily from data gathered by State environmental
 regulatory agencies. It is clear that open en-
 vironmental abuses  occur more  frequently in
 States without such programs and without ade-
 quate documentation of damages. To this ex-
 tent, the cases can be said to understate the
 problem.

 SUBTITLE C

   Subtitle C of RCRA gives EPA authority to
 set standards for generators and transporters
 of  hazardous waste  and for hazardous waste
 treatment, storage, and disposal facilities.
   Subtitle C takes a pathways  or "cradle-to-
 grave"  approach  to   regulating  hazardous
 waste. This means  regulation of generation
 and transportation of hazardous waste as well
 as  its ultimate disposition. For example,  each
 hazardous waste load shipped offsite must be
 accompanied by a manifest filled out by the
 generator of the waste. On this  manifest, the
 generator designates the facility to which the
 waste must be  taken. The manifest goes with
 the load to the  facility and the signed original
 is returned to  the  generator by the facility.
 This returned manifest closes the loop of re-
 sponsibility for the generator. The generator is
 responsible for maintaining these manifests as
 evidence that he has properly managed his haz-
 ardous waste. National standards have been
 proposed  for transporters that require deliv-
 ery of  all hazardous  waste  to  the facility
 designated on the manifest. And to adequately
control final disposition and prevent unsound
 management, facilities for treatment, storage,
 and disposal of hazardous waste must acquire
 permits.
   The manifest system, the transporter stand-
 ards, and the permit system should halt dump-
 ing in isolated fields and nonsecure landfills, or
 in muncipal sewer systems, because the gener-
 ator of the hazardous waste must be able to
 show that the waste was sent to an acceptable,
 permitted  facility.  If attempts are made to
 falsify returned manifests, a cross-check with
 the permitted facility should quickly show that
 the load never reached  that facility. The facil-
 ities  receiving  hazardous wastes  must  meet
 certain criteria  for technical soundness and
 financial responsibility  if they are to obtain
 permits. This prevents designation of simple
 pits or fields as disposal sites on manifests
 because such sites could never obtain permits.
   Currently many sites legally accepting haz-
 ardous wastes are  not  environmentally suit-
 able. Such sites include open dumps and munic-
 ipal and  sanitary landfills as well as "secure"
 landfills which were not adequately located or
 constructed. Under  RCRA, open dumps  must
 be upgraded to  the standards for acceptable
 landfills or be shut  down. Only chemical land-
 fills, other land disposal techniques, and treat-
 ment facilities shall be permitted to  manage
 hazardous wastes.
  Taken together, the manifest and permitting
 requirements should force  most hazardous
 wastes to appropriate management facilities at
the same time they close environmentally un-
 sound facilities,  which  will  decrease  current
 capacity. This should substantially increase de-
 mand for acceptable hazardous waste manage-
ment.

 STATE IMPLEMENTATION

   The intent of  Congress and the policy of
 EPA  is to make the hazardous waste manage-
 ment program  resulting  from the Resource
 Conservation and Recovery Act  as  much a
 State-run operation  as possible. Under the Act,
 the Administrator must authorize a State to
 operate  its program in place of a  Federal
 operation, if certain conditions are met.
  To  acquire full authorization, a State pro-
 gram must be equivalent to  the Federal pro-
 gram under Subtitle C,  be consistent with
Federal programs under Subtitle C, be consist-
                                             12

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ent with Federal or State programs applicable
in other authorized States, and provide for ade-
quate enforcement of compliance.
  Consistency with Federal or State programs
applicable in other States  means consistency
with other authorized programs. EPA believes
the free movement of hazardous wastes be-
tween States to be an integral part of a consist-
ent, national hazardous waste program and for
this reason is considering not authorizing State
programs which include bans on the  importa-
tion of  hazardous wastes from other States.
States applying different standards to wastes
originating  outside the States  will not  be
authorized.

IMPLEMENTATION PROBLEMS

  There are several  potential problems that
must be dealt with in order to successfully im-
plement this national hazardous waste  man-
agement program. Some States may be unable
or unwilling to take up the program and thus
place the responsibility for implementation on
the EPA regional office. Public opposition to
hazardous  waste  management facility siting
may  prevent  opening a  new  capacity and
threaten continued operation of some existing
capacity. Also, it will  take time for the  rela-
tively small hazardous waste management  in-
dustry to grow sufficiently to  handle the ex-
pected volume demand. Thus, for the interven-
ing period of indefinite length, a capacity short-
fall may occur.
  A State may fail to pick up the program for
other reasons.  It may simply lack the legisla-
tive authority  to  control  hazardous waste.
Some State legislatures meet only  every  2
years; thus, even a State desiring to  accept the
program may experience lengthy delay in re-
ceiving the authority to do  so.
  Some  States will  lack  the resources  to
operate a program equivalent to the Federal
one. Although there will be grant money avail-
able, this must be matched at the 25 percent
level by  State  funds which may not be avail-
able.  Resources include personnel  and  such
things as laboratory and data processing cap-
abilities which may take time to develop even
when  sufficient funds are available.
  Finally, some States may not agree with the
regulatory program adopted by EPA and thus
may choose not to meet EPA  requirements for
authorization. These States may, for example,
ban  importation  of hazardous wastes from
other States thus forcing each State to need-
lessly duplicate costly facilities to manage all
wastes. Such inconsistency could prevent a
particular hazardous waste from reaching the
facility best able to manage it. It could also pre-
vent the industry from realizing economies of
scale present in large facilities that serve wide
areas.
  Public reaction to the siting of hazardous
waste management facilities has been largely
adverse. For example, in Wilsonville,  Illinois,
what the State has determined to be a techni-
cally acceptable  facility has met with strong
local opposition  due to its proximity to the
town. In general, public opposition is based on
an understandable fear for health and safety
and reduced property values. Most people do
not want hazardous waste  mangement facili-
ties nearby although they  see the need for
them someplace else.
  Another   implementation  problem  is  the
large  number of  potential generators who
generate relatively small quantities of hazard-
ous waste, or who generate in an erratic fash-
ion.  Chemical containers,  for example,  al-
though  considered  to  be  hazardous unless
properly drained and rinsed or reconditioned,
in total weight are not a significant  source.
Still they are ubiquitous and are generated  in
many areas that do not have convenient, appro-
priate   disposal  facilities.  This  argues,  of
course,  for the development of methods and
practical procedures that can be established in
these areas to decontaminate the containers
and render them fit for recycle, reuse,  and the
like. Retailers who occasionally break a case of
chemicals  or have "leakers" are   another
special group.
  Our  current approach to the retailer and
other "small" generator problems has  two
facets. First, we identify as  generators only
those who  produce and dispose of 100 kg  of
hazardous  waste per month. This quantity,
(about one-half drum of most liquids), excludes
over half  of  the  potential  generators, but
"loses"  only about one-half  percent of hazard-
ous industrial wastes. Since RCRA prohibits
open dumping, this small quantity  will be
forced  to acceptable landfills that meet the
Subtitle D criteria.
  Secondly,  we  are  considering relieving
                                              13

-------
retailers from the manifest reporting and rec-
ordkeeping burdens if  they too dispose of
waste in Subtitle D or C facilities.
  There will be hazardous waste management
regulations nationwide regardless of which in-
dividual States  accept the program contained
in RCRA. However, implementation will  be
slower and may be  less responsive to  local
needs if EPA must institute the program in
most or all of the States.
  The ability of the hazardous waste manage-
ment  industry to overcome local opposition to
siting and expansion activities is not clear. At
the least, such influences will delay implemen-
tation of the Act. At worst, it could stymie de-
velopment of necessary sound capacity, caus-
ing a serious shortfall and forcing hazardous
wastes into the fields and sewers, to the detri-
ment of  both public health and the environ-
ment. In all,  public opposition to siting may
become the greatest obstacle  to  implementa-
tion  of a program for sound hazardous waste
management and deserves our most thoughtful
concern.
                                           14

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Session II: WASTEWATER POLLUTION CONTROL TECHNOLOGY



           W. Wesley Eckenfelder, Session Chairman
                          15

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                  ORIGIN AND INTERNAL CONTROL OPTIONS
           FOR PRIORITY POLLUTANTS IN THE TEXTILE INDUSTRY

                                   Edwin L. Barnhart*
Abstract
  To date, textile industry has been able, with
some minor exceptions, to meet the criteria set
down for water pollution control. The industry
has developed within itself the technology and
methodologies necessary for the operation and
control of treatment plants  that achieve  best
practical treatment of higher levels of removal.
By and large, the movement within the indus-
try has been quite rapid and orderly.
  By comparison,  the  introduction of priority
pollutant control will cause major problems for
the industry.  The reasons that disruption will
be caused are important to understand.  The
major problem is that identification  and  con-
trol of the priority pollutants  depends on a
level of chemical analysis expertise and  skill
which exceeds the level required by manufac-
turing demands of the industry. BOD's, COD's,
and even the more complicated nitrogen analy-
ses required by conventional pollution control
can be performed by a skilled plant chemist,
but the introduction of complex gas chroma-
tography or gas chromatography/mass spec-
trometry (GCMS) exceeds the general level of
background of these individuals. Further,  the
type and class of equipment required for these
advanced analyses exceed the requirements for
the normal operation of the  manufacturing
facilities. Although this  is  not true  for  the
selected few high technology companies within
the industry,  the  majority  of  the operating
companies will find themselves in this situa-
tion.
  In a similar manner, physical and chemical
phenomena associated with  the operation of a
secondary or  even a tertiary plant are easily
comprehended by a typical plant engineer. The
complexities of the  systems that may be re-
quired to control  priority pollutants are by
nature intrinsically  involved with the chem-
istry of the reactions and may very well require
  •President, Hydrosciences, Inc., Arlington, TX.
special  expertise  unlikely  to  be  available
within any of the smaller companies.
  The textile manufacturing industry's prob-
lem is further complicated by the fact that, by
and large, it does not itself manufacture the
chemicals used in its reactions, nor has it been
common practice for the suppliers to list, in a
meaningful generic fashion, the components of
the various mixtures involved. Even more fun-
damentally,  many of the dye stuffs and other
materials  commonly used in the industry are
not analyzed, even during their  manufacture,
to the point of determining  the various in-
termediates  that can exist.
  The variety and complexity of the chemicals
employed in an  average textile manufacturing
operation are somewhat mind boggling. In pre-
paring for this paper, typical operating records
for several mills were  examined. During an
average year, the mills examined used from 100
to 300 specified compounds. Of the compounds
used about one half were identified by trade
names rather than by their specific chemical
formula or name. Several randomly examined
trade named compounds contained from 9 to 15
components as part of the manufacturers' spec-
ifications of the particular compound. Many of
the individual components either appear on the
priority pollutant list or are likely to make the
list as it expands. But even more importantly,
the one sample  of a compound that was sub-
jected to further actual analysis showed many
components  not listed by the supplier. Trace
amounts of a wide variety of chemical inter-
mediates were found. These compounds also
were either on the list or are subject to early in-
clusion.  It is against this background, with an
understanding that thousands of compounds,
many of them  unsuspected, pass  through  a
typical  textile mill in a given year,  that we
must consider the problem faced  by the indus-
try.

IDENTIFYING COMPOUNDS OF CONCERN

  The first step of any program to control the
discharge of priority pollutants  must be the
                                            17

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 identifications of the compounds present in the
 effluent. This is not always as straightforward
 as it would seem. For convenience, a list of the
 compounds presently designated as  priority
 pollutants is presented in Table 1. The list in-
 cludes 114 organic compounds, 13 heavy met-
 als, cyanide, and asbestos.  EPA is presently
 hard at work developing discharge standards
 for  each of the materials for a variety of in-
 dustrial categories. At present the only reason-
 able assumption is that each of the specific
 compounds will be controlled at some low level
 in the given effluent. Specific compounds, such
 as the heavy metals, and the more carcinogenic
 compounds may require complete removal.
   Perusals of the list will quickly reveal that
 many of the compounds are  commonplace in
 the textile industry. The cause or occurrence of
 these compounds may be generally attributed
 to three main factors—direct production use,
 indirect  production use, and nonproduction
 use.

 Direct Use

   A study of  chemical purchasing lists will
 quickly identify the chemicals of concern that
 are  in quantity use in the  facility. Although
 such materials as benzidine and many heavy
 metals are passing out of use, carbon tetrachlo-
 ride, benzene, ethylbenzene, and the like will
 remain  common chemicals for at least a fore-
 seeable future. Materials identified through
 purchasing analysis can be handled in a direct
 manner compatible with concern.

 Indirect Use

   Chemicals  introduced into a plant through
 indirect use  are  more difficult to detect. The
 first and most significant source of these ma-
 terials is the so-called proprietary chemical.
 Where a specific functional chemical or dye is
 identified only by its trade  name, the compo-
 nents of that compound must be identified by
 working with the manufacturer. But further, it
 must be noted that in many cases, even the
 compoundor does not really have information
 on the materials that are present. Heavy met-
 als, traces  of reaction  intermediates, and the
like are persistent in the widest variety of pro-
prietary chemicals purchased within the indus-
try.
   Further introduction  of priority  pollutants
 may occur  through nonmanufacturing  uses
 such as materials used to preserve  and stabi-
 lize as  well as sprays to protect against mold,
 etc., and in  the packaging area. A  variety of
 phenolic type materials, for example, are used
 as sealants  and are present in a variety of
 packaging schemes. Isolation of priority pollut-
 ants from such activities requires detailed in-
 vestigation and is often time-consuming  and
 frustrating.  By way of example, the compo-
 nents of a typical carrier are listed in Table 2.
 A  gas  chromatography/mass  spectrometry
 (GCMS) analysis of this material showed in ex-
 cess of 25 discrete compounds.

 Nonproduction Use

   By far, the most difficult materials to control
 come  from  nonproduction  uses; areas  that
 would never have been of concern before. Ex-
 amples of these contaminants include: runoff
 from sprays  used  to control shrubbery and
 weeds  around waste treatment facilities and
 for general ground control, sterilizing agents
 used by kitchen and cleaning services, and ma-
 terials  employed  in  general  construction
 around the plant site. At first these  uses may
 seem trivial, but understand that in a typical
 manufacturing plant consuming a million gal-
 lons of water a day, 1  pound of a chemical
 causes a concentration in the effluent in excess
 of .1 mg/liter or 100 ppb. This is significantly
 above the level at which many of the priority
 pollutants will be controlled.
   In a  recent investigation  a particular ma-
 terial of concern was found to be a component
 of a commercial cleaning solution used by con-
 tract labor over each weekend. The concentra-
 tion of this  material reaching the treatment
 plant was sufficient to contaminate the effluent
 for several days of the  following week. This
 compound that "couldn't possibly be there"
 was only found and eliminated after a system-
 atic, time-consuming evaluation of every pos-
 sible cause.
  From the above discussion, it should be clear
 that priority  pollutants will enter a plant from
the widest conceivable range of activities car-
ried on at the plant site. Working to control
these substances then must  envision a much
broader approach  than  has  previously  been
conceived within the industry.
                                             18

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          TABLE 1. COMPOUNDS PRESENTLY DESIGNATED AS PRIORITY POLLUTANTS
Phenols
Phenol
2-ChlorophenoI
4-Chloro phenol
2,4-Dichlorophenol
2,4,5-Trichlorophenol
2,4,6-Trichlorophenol
Chlorocresol
Pentachlorophenol
2,4-Dimethylphenol (xylenol)
2,4-Dinitrophenol
4,6-Dinitrocresol
2-Nitrophenol
4-Nitrophenol

Substituted aromatics
Chlorobenzene
1,2-Dichlorobenzene
1,3-Dichlorobenzene
1,4-Dichlorobenzene
2-Chloronaphthalene
1,2,4-Trichlorobenzene
Nitrobenzene
2,4-Dinitrotoluene
2,6-Dinitrotoluene
Benzidine
3,3-Dichforobenzidine
1,2-Oiphenylhydrazine
PCB's
Hexachlorobenzene

Aromatic hydrocarbons
Acenaphthene
Benzene
Ethylbenzene
Fluoranthene
Naphthalene
Toluene
Tetrachlorodibenzo-p-dioxin
Benzanthracene
Dibenzathracene
Benzopyrenes
Benzofluoranthenes
Chrysene
Aromatic hydrocarbons (con.)
Indenopyrene
Anthracene
Phenanthrene
1,12-Benzoperylene
Fluorene

Organic
Acrolein
Acrylonitrile
bis (chloromethyl) ether
bis (2-chloroethyi) ether
2-Chloroethyl vinyl ether
4-Chlorophenyl phenyl ethers
4-Bromophenyl phenyl ethers
bis (dichloroisopropyl ether)
bis (2-chloroethoxy) methane
Polychlorinated diphenyl ethers
Isophorone
Phthalate esters
Vinyl chloride
N-nitrosodimethylamine
N-nitrosodiphenylamine
N-nitrosodi-n_-propylamine

Chlorinated solvents
Carbon tetrachloride
Chloroethanes
  1,2-dichloroethane
  1,1-dichloroethane
  1,1,1-trichloroethane
  1,1,2-dichloroethane
  hexachloro ethane
Chloroform
Dichloroethylene
  1,1-dichloro-
  1,2-dichloro-
Dichloropropane
Dichloropropene
1,1,2,2-tetrachloroethane
Chloroethane (ethyl chloride)
Methylene chloride
Chlorinated solvents (con.)
Methyl chloride
Methyl bromide
Bromoform
Trichlorofluoromethane
Dichlorodifluoromethane
Hexachlorobutadiene
Hexachlorocyclopentadine
Hexachlorocyclohexane
Hexachloroethylene
Tetrachloroethylene
Trichloroethylene
Dichlorobromomethane
Chlorodibromomethane

Pesticides
Aldrin + metabolites
Dieldrin + metabolites
Chloradane + metabolites
Endrin + metabolites
PCB's
DDT+metabolites
Endosulfan + metabolites
Heptachlor* metabolites
Toxaphene + metabolites
Lindane

Metals
Antimony (total)
Arsenic (total)
Asbestos (fibrous)
Beryllium (total)
Cadmium (total)
Chromium (total)
Copper (total)
Cyanides (total)
Lead (total)
Mercury (total)
Nickel (total)
Selenium (total)
Silver (total)
Thallium (total)
Zinc (total)
                                                 19

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             TABLE 2. CARRIER X
              Xylene
              o-Dichlorobenzene
              Benzole ester
              1,2,4-Trichlorobenzene
              Toluic ester
              Methyl salicylate
              Butyl benzoate
              (3-Methyl naphthalene
              a-Methyl naphthalene
              Diphenyl
              o-Phenylphenol
              Unknowns (as diphenyl)
              Dimethyl phthalate
 CONTROL OPTIONS

   There are four options available for priority
 pollutant control: chemical control; contractor
 control; in-plant control; and treatment.

 Chemical Control

 Substitution —
   The first and most obvious method of elim-
 inating priority pollutant problems is the sub-
 stitution  of acceptable or treatable chemicals
 for those  presently that are undesirable. As ob-
 vious as this action seems, many major compa-
 nies have not yet begun a search of their pur-
 chased chemicals for this purpose. The devel-
 opment of alternate procedures and chemicals
 is a long, time-consuming job, and  the sooner
 begun, the better  the probability it will be
 finished in time to avoid costly treatment.
   But the textile industry will never be able by
 itself to achieve the chemical substitutions re-
 quired. Rather, the industry as a whole should
 request that its chemical suppliers provide
 alternates. The economic incentive of the mar-
 ket is a sufficient driving force for the large
 chemical  companies and others to dedicate
 research  dollars  to  the  solution  of  the
 industry's problems. It  is the industry's re-
 sponsibility,  however, to inform these people
in a clear manner of their absolute intention to
make such changes and to create the driving
force.
Process Change-
  Process changes to minimize or  prevent
pollution emissions have been an ongoing proc-
ess in the textile industry for the last decade.
A new mill designed  under today's specifica-
tions uses 30 to 40 percent of the water that
would have been considered normal usage in
the recent past. Similar and possibly expanded
rates of process modification will be necessary
to completely close certain areas of the  plant
that contain priority pollutants. Zero discharge
of undesirable materials should in fact be an at-
  Investigations of process change require  a
detailed understanding of the economic alter-
natives and the ability to invest money in ap-
propriate  systems  to  eliminate  long-range
problems. Such studies, as in the case of chem-
ical substitution, require significant lead time,
and the industry even now should be turning
its attention to these areas of control.
  Studies start with a detailed  material bal-
ance of the processes and require a high  level
of analytical interrogation of the various  proc-
ess streams. In virtually all cases, companies
will be forced to employ a higher level of ana-
lytical technology than is presently available
at the mills. This will undoubtedly call for  a
much higher level of participation by the com-
panies' research groups.

Contractor Control

  From the environmental point of view, em-
ployers are responsible for the activities  of
contractors on their site. In the past, little or
no attention has been paid to the miscellaneous
materials used by such people. In  the future,
tight specifications governing the use of  envi-
ronmentally related chemicals must be exer-
cised. Contractors must be made aware of the
pollution control programs carried  on by the
company and their activities must  be closely
monitored. Contractors, in this  sense, include
those performing everything from pest control
to construction and erection. Many of these
areas are particularly difficult since the con-
tractors one deals with are small, independent
individuals who are unaware of the composi-
tion of many of the products they employ. This
is an area where possible broad-based indus-
trial cooperation could lead to the evolution of
satisfactory standards.
                                              20

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In-Plant Control

  It is not the purpose of this discussion to deal
with the technical details of the problem; how-
ever, it is appropriate to at least mention them
considering the approaches that need to  be
taken.
  In-plant control begins with strict regulation
of water use. Virtually any compound is more
easily handled in higher concentration, and in-
creases in concentration often lead to econom-
ical recovery. Closed-loop solvent systems, re-
cycle of appropriate waters,  filtration,  and
reuse of streams present  opportunities in vir-
tually every mill. Particular progress can often
be  made if one recognizes that  only  certain
components  of a particular stream are of in-
terest for reclamation.  Consider  dyeing solu-
tions, for example. Considerable attention has
been focused on the problem of dye removal. In
fact,  a  detailed  analysis  of discharge from
these  operations shows  that the principal
chemicals  of concern  are  carriers,  wetting
agents, dispersing agents, etc. Pursuing recov-
ery of these products is far more practical and
opens up  the door to realistic reductions of
pollutants.
   At-source  treatment  is also appropriate in
certain circumstances.  Essentially  this is the
philosophy  of  intercepting  concentrated
streams before they enter the  main  sewer.
Often a 5,000- or 10,000-gal/d stream treated at-
source can eliminate the necessity of providing
tertiary treatment for a million gallons a day.
Such systems generally rely on adsorption or
related phenomena for the containment of par-
ticular materials. In evaluating such processes,
however,  one must  be  certain to include the
full cost including the disposal of the collected
residues from  each  of  the possible schemes.
Fabric finishing is an excellent example of an
area  where  at-source  control  is practical in
many cases.
   It is worthwhile to note that the textile in-
dustry has a  particular advantage in the recov-
ery of chemicals. In many industries the chem-
icals that are used undergo significant modifi-
cation or  reaction during processing.  In gen-
eral, the conditions of textile finishing are not
sufficiently severe to modify the basic chemical
structure of the materials involved in the proc-
ess.  Therefore, the resulting  byproducts are
basically the  same as the starting materials in-
volved in the process except they are reduced
in concentration and contaminated with impur-
ities. This lack of change of chemical structure
should provide the basis on which  recovery
programs are based.

Treatment

  If all else fails, a company will be faced with
tertiary treatment for the removal of specific
organics. To date, activated carbon and other
specific adsorptive resins  appear to be  the
most promising methods of priority pollutant
control.  But  even  these  methods,  in  many
cases, allow the pass through of specific unde-
sirable products. Over the next several years a
variety of new treatment processes will be in-
troduced into the field to  handle such prob-
lems. In virtually all cases, the processes will
be complex systems with high energy require-
ments. Great care must be expended in choos-
ing the appropriate device; looking  in consid-
erable  detail at its ability  to meet the ever-
changing production mix present in this indus-
try.
SUMMARY AND RECOMMENDATIONS

  Enforcement of priority pollutant removal
criteria will introduce a new era in the continu-
ing environmental problems of the textile in-
dustry. These pressures  will also  introduce
new opportunities for advancement among the
companies wise enough to find better solutions
to these problems. To be able to cope with this
situation in an effective manner, the following
course of action should be followed.

  1. Know Your Problem
    The solution of any problem of this nature
    must be based on a fundamental under-
    standing  of  the physical  and  chemical
    properties of the species we are dealing
    with.  Detailed  analysis  of particular
    materials is a costly, time-consuming pro-
    gram and the temptation to bypass it is
    always there. However, you must clearly
    understand that sound fundamental infor-
    mation is the foundation on which any suc-
    cessful  program must be based. Being
    penny-wise  and pound foolish  is a very
    costly business in the environment.
                                              21

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2.  Choose Your Ultimate Control System
  First
   Look down the road to ultimate control of
   your effluent and determine what  must
   be done to achieve that position. Then, at
   any point in time, do only that  which is
   necessary to meet the instantaneous re-
   quirements of law. Do nothing incompat-
   ible with the long-range plan. In this man-
   ner, capital will  not be wasted. Regula-
   tory agencies are open to discussion of
   evolving regulation when a company can
   clearly demonstrate a long-range satisfac-
   tory plan.
3.  Use Purchasing and Technical Develop-
   ment to Solve Your Problems
   As discussed above, the best solutions are
   based on elimination of the problem with-
   in the manufacturing process, giving this
   area the high priority research dollars it
   deserves to avoid much greater  costs in
   capital later.
4.  Build  Only as a Last Resort
   Too often  companies assaulted by envi-
   ronmental  problems take the easy out —
   spending money. This satisfies the regula-
   tions for the time being and eliminates a
   problem; but, in the long run, the treat-
   ment plant consumes  dollars every day
   for the rest of that plant's life. If  you can
   use  ingenuity  and development  rather
   than  assuming capital  and  operating
   costs, you will be by far the winner.
                                          22

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           CONTACT FILTRATION  FOR TEXTILE WASTEWATER
                       POLLUTION CONTROL IN POLAND

                              Jerzy Kurbiel, Wieslaw Zymon*
Abstract
  Textile industry wastewater treated conven-
tionally in a mechanical-biological treatment
plant contains considerable amounts of refrac-
tory  pollutants  such as  dyes,  detergents,
and  other  synthetic compounds.  Beyond
mechanical-biological  treatment, they require
further treatment by  means of physicochemi-
cal processes, especially when the receiving
stream is  rather small and high water quality
must be maintained.

INTRODUCTION

  In the investigations presented in this paper
the wastewater came from a textile factory
with annual fabric production of 9,000,000 kg,
in which the percentage participation of par-
ticular raw materials was: cotton, about 70 per-
cent  and  synthetics,  about 30 percent.  The
plant discharges about 6,000 m3/day of concen-
trated wastewater  coming mainly from  two
fabric finishing  plants.  Over 1,500,000 kg of
organic   chemical compounds and  over
4,600,000  kg of inorganic chemicals are used
per year in the production process.
  After pH control by means of stack gases
recarbonization and after primary sedimenta-
tion,  textile  wastewater  was  mixed  with
municipal  wastewater in a 1:1  proportion or
higher and  was directed to the pilot plant,
which  contained an  activated sludge  unit and
tertiary treatment devices.
  The coagulation in a contact filter was one of
the tertiary physico-chemical processes inves-
tigated within the  Project PR-5-532-3 spon-
sored by EPA. In practice  the coagulation of
textile wastewaters is  often applied  before
biological  treatment, but in that case the re-
quired doses of  the coagulant are very high
reaching, even to 1,000 g/m3.

  *Cracow Technical University, Poland.
CHARACTERISTICS OF CONTACT
FILTERS

  The contact filters were applied in practice
for the first time by Mine (ref. 1) in 1954 for the
treatment of water with constant and relative-
ly small contents of suspended solids (below
150  g/m3), including solids  formed  during
coagulation. The basic aspects of the contact
filter, usually constructed as single-medium,
multilayer, upflow filters, lies in the combina-
tion of two processes in one chamber: the sur-
face coagulation and filtration.
  The surface coagulation, as opposed to  the
conventional  process,  which  can  be called
volume coagulation, is characterized by a form-
ing gel on the surface of solids, in this case on
the grains of the filter medium. Surface coagu-
lation has two specific properties that make it
different and more favorable than volume co-
agulation: it is faster and^the arising gel, in the
form  of  floes,  is  separated  from  water
simultaneously  with the .coagulation itself.
Also the  required dose of coagulant  is con-
siderably reduced, at least 30 percent  in com-
parison to conventional coagulation.
  The  contact  filters  for the  treatment of
municipal wastewater  which  have  already
been treated  biologically were first applied in
England in the early 1960's (ref. 2). England
and  the  Soviet  Union  have  the  greatest
research and  practical experience in this area.
  The theory of filtration has been evaluated
most comprehensively during the IWSA Con-
gress of 1966  by Mine (ref. 3) and the Congress
of 1969 by Ives (ref.  4). The objective of
research on the contact filtration done so far
was to find a filtration  bed of a perfect struc-
ture  needed to create the so-called deep filtra-
tion, in  which the fixing  of suspended solids
would take place within the whole mass of the
bed along its depth. In practice the construc-
tion of such a perfect bed was only partly  suc-
cessful, in spite of many attempts.
  In the downflow filter there is a domination
of the upper layer, which fixes most of the  sus-
                                            23

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pended  solids. Even in case of properly se-
lected multimedia filters, the accumulation of
suspended  solids at the boundary of layers
could be observed. However, the use of several
bed layers enables the increase of the capacity
of the bed, and as a result of it the filter cycle is
prolonged.
  In England the "immedium filter" is used for
tertiary wastewater treatment. It is an upflow
contact filter with the granulation decreasing
as the water flows upwards and containing the
screen bounding from the top. Granulation and
filter bed thickness of an immedium filter, the
Boby Filter, is given in Table 1. Effectiveness
of those filters operated on a full scale (ref. 4),
determined by suspended solids and BOD5 con-
centration in effluent, was in both cases 7 mg/h.

      TABLE 1. GRAIN SIZE AND FILTER BED
    THICKNESS OF BODY FILTER (UK)(REF. 2)

                   Filter bed characteristics
Filter media
Gravel
Gravel
Gravel
Sand
Total thickness
Layer thickness
(m)
0.15
0.25
0.25
1.58
2.23
Grain size
(mm)
40-50
8-12
2-3
1-2

  The research on the application of the con-
tact filters for tertiary treatment of biological-
ly treated wastewater has been carried out in-
tensively  in the Soviet Union  since the mid
1960's (refs. 5,6). Table 2 shows bed characteris-
tics and flow rate recommended by the Soviet
Union for wastewater treatment. The applica-
tion of contact filters for tertiary treatment of
municipal wastewater has been  studied also in
Poland. Table 3 shows granulation and layer
thickness of contact filters at the Zywiec pilot
plant. This bed structure was proven best and
recommended as  design criteria for  waste-
water application (ref. 7). Removal of particular
pollution  parameters on contact filters oper-
ated without addition of coagulants, according
to the results obtained at the Zywiec pilot
plant (ref. 7) was as follows: suspended solids-
up to 60 percent, BOD-28 percent, and COD-26
percent. When the coagulants were added, the
removal  percentage increased considerably.
For the parameters listed above  increase  of
removal averaged 36 percent, 20 percent, and
24 percent, respectively. In addition to this, 80
percent of phosphorus removal was obtained.
  The filtration cycle lasted up to 72 hours, but
because of oxygen depletion  it was limited to
24 hours. It was proven that upgrading of con-
ventional  municipal wastewater treatment
with the use of upflow contact filters is more
economical than any other system  with the
same effectiveness with respect to the refrac-
tory pollutants, i.e., conventional coagulation.

METHODS

  The  range of investigations  carried out on
application of contact filters for tertiary treat-
ment of mixed textile-municipal wastewater in-
cluded determination of the  following factors
affecting the process and its effectiveness:
  •  the kind and dose of the coagulant on the
     removal  of  specific refractory contami-
     nants from the wastewaters,
  •  the influence of variations in the pH reac-
     tion  of the  wastewater during  coagula-
     tions,
  •  the possibility of increasing the coagula-
     tion  efficiency by preliminary and post
                TABLE 2. GRANULATION, BED THICKNESS, AND FLOW RATE RECOMMENDED
                      FOR UPFLOW CONTACT FILTERS APPLIED IN USSR (REFS. 5,6)
Filter bed characteristics
Filter media
(from bottom to top)
Gravel
Gravel
Gravel
Gravel
Sand
Grain size.
dmin
20
10
5
2
1.2
mm
dmax
40
20
10
5
2
Layer thickness
(m)
0.2-0.25
0.2-0.3
0.3-0.4
0.5-0.7
1.3-1.5
Filtration rate (m/h)
Normal
loading


7-8


Increased
loading


9-10


                                             24

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                 TABLE 3. GRANULATION AND LAYER THICKNESS OF CONTACT FILTERS
                                AT ZYWIEC PILOT PLANT (REF. 7)
Filter media
(from bottom to top)
Gravel 1
Gravel 2
Gravel 3
Gravel 4
Sandl
Sand 2
Total thickness
Grain
dmin
20
10
4
2
1.5
0.8

size, mm
dmax
40
20
8
4
2
1.5

Layer
thickness
(m)
0.2-0.25
0.2-0.30
0.8-1.00
0.1-0.15
0.1-0.15
0.6-0.80
2.0-2.5
     oxidation,
  •  the influence of the wastewater load ex-
     pressed  by refractories  concentration,
     and
  •  the type of installation assuring an op-
     timal course of the process.
  For the contact filters the following factors
were determined:
  •  filtration rate and washing flow rate, and
  •  grain size and depth of filtration bed.
  In parallel, investigations were carried out
on a laboratory and pilot scale. A  schematic
plan of the treatment plant comprising pri-
mary sedimentation of two separated streams,
textile and municipal wastewaters, activated
sludge unit for combined wastewater, and ter-
tiary treatment facility is shown in Figure 1.
  The wastewaters, after biological treatment,
were  coagulated  by  aluminum  using  two
methods:
  1.  Surface  coagulation  on contact filters
      (Figure 2). The addition of coagulant salt
      to the wastewaters introduced from the
      bottom of the gravel-sand contact filter.
      The coagulation took place  in this  case
      directly in the filtration bed. A detailed
      scheme of the  contact filter is shown in
      Figure 3.
  2.  Conventional coagulation  in the reactor
      with  suspended floes is shown in Figure
      4. After this  process the wastewaters
     were  filtered  through  a   downflow
     anthracite-sand bed.
  Supplementary test investigations were also
carried  out on  the flow  conditions of  the
wastewatcrs through filtration  columns  used
for contact coagulation. During the investiga-
tions physico-chemical analyses of the waste-
waters before and after coagulation were car-
ried out on daily averaged samples. The results
plotted  on the scale of cumulated probability
gave, as a rule, a straight line that proved their
normal distribution.

FACTORS AFFECTING THE
COAGULATION PROCESS

Influence of the Kind of the Coagulant

  Three basic  coagulants  FeS04 x 7 H20,
FeCl3 x 6 H20, and A12(S04)3 x 18 H20 were
used. Applying FeCl3 x 6 H20 and A12(S04)3 x
18 H20 in the same manner, the optimum dose
for removal of turbidity and  color was  100
mg/liter. For FeS04 x H20 the dose exceeded
200 g/m3 in  the majority of cases. Moreover,
ferrous  salts induced a secondary pink color.
Further investigations on the coagulation proc-
ess were carried out using A12(S04)3 x 18H20.
  The decrease in pH within the values 7.5 to
5.8  causes an increase in color removal from
the wastewaters. At the same time the pre-
liminary oxidation by means of NaOCl with a
dose up to 16 mg Cl2/liter increases the efficien-
cy of color removal in relation to the results ob-
tained without preliminary oxidation as well as
in relation to the oxidation itself, especially for
lower pH values. The doses  of the oxidant ex-
ceeding 16 mg Cl2/liter do not give any increase
in color removal, especially at coagulant doses
above 200 g A12(S04)3 x 18 H20/m3.
                                             25

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                s.
1.  Screen
2.  Grit chamber
3.  Primary clarifiers for municipal wastewater
4.  Primary clarifiers for textile wastewater
5.  Biological pilot plant
a  PUot installation for tertiary
   treatment processes
7.  Overflow for control of industrial
   to municipal wastewater ratio
                                          JL	J
 temporary line
   and pump
   for study

        I
        I	
Figure 1. Schematic plan of the primary treatment plant and the pilot plant in Andrychow.
                                          26

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                        biological
                        effluent
                                                  o
                                                  o
                                                  §

                                                  I
        3
        •8
        o
        s
        I
                                                                    —® sampling
                                                                          points
             Figure 2. Schematic diagram of the pilot upflow filtration installation.
 Influence of Wastewater pH,
 Coagulant Dose, and Preliminary
 Oxidation on Non-ionic
 Detergent Removal

  A high nonionic detergent content equaling
 from several to more than 10 g/m3 was found in
 the wastewaters after biological treatment.
  Mean values from the obtained test investi-
 gation data for five wastewater samples are
 shown in  Figure 5. From the shape of the
 curves the resulting  speculation is that  in-
 creased doses of the coagulant at a wastewater
 pH of between 7.4 and 6.5 cause an increase in
 detergent removal. At a pH of about 5.8,
 removal of nonionic detergents is highest, but
 does not depend on the dose of the  coagulant
 when exceeding  100 mg/liter. A lower waste-
 water  pH during coagulation causes a con-
 siderable  increase  in nonionic detergent
 removal. Investigations were  also carried out
 with six samples of wastewaters coagulated
 with a dose of  200 g/m3 at a constant pH of 6.6
 and previous oxidation with various doses of
 NaOCl. The obtained results are represented
 in Figure 6. Preliminary oxidation with doses
 of about 5 mg  Cl2/liter gave a considerable in-
 crease in nonionic detergent removal. Increase
 in the oxidant doses to a value  above 5 mg
 Cl2/liter caused  a  decrease in detergent
removal.
Influence of the Coagulant Dose,
Wastewater pH, and Preliminary
Oxidation on COD Removal

  The data from the investigations presented
in Figure 7 show that increase in the coagulant
dose causes  increase in COD removal. On the
other hand, a decrease in the pH from 7.4 to 6.5
causes an increase in COD removal by about 20
percent. A further decrease in the pH to 5.8 in-
creases the  COD removal in relation to the
result at a  pH  of 6.5  by about 10 percent.
Figure 8 shows the influence of of preliminary
oxidation on  COD removal under a pH of 6.6
and  a  coagulent  dose of  200 mgAiter  of
A12(S04)3 x 18 H20. In  the majority  of  sam-
ples, contrary to the color, the initial decrease
in the COD removal was found at oxidant doses
up to 10 mg Cl2/liter. Bigger doses of the oxi-
dant caused  an increase in the COD removal.
The pilot plant data have shown the positive in-
fluence of post chlorination on COD removal
and the positive effect on residual aluminum in
the effluent (Figure 9).

PILOT INVESTIGATIONS AND
DISCUSSION OF RESULTS

  Technological investigations on coagulation
of a filtration bed were  carried out for a num-
ber of systems that differed in construction of
                                            27

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                                   100mm
                         500 mm
                                            flow contrcj
                                              valve
                                                     Dosing

                                                     tank
                        y 3QOmm-,
effluent
                                                        _ JSOmm
                                                          ^inlet pipp
                                        head
                                       degasification pipe
                              f wash water
Figure 3.  Experimental contact filter for tertiary wastewater treatment at Zywiec pilot plant (ref. 7).
                                         28

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                                    ^h
             I
                      \
               o
              1,
               a
               o
               u
         sludge disposal
            biological
            •ffluent
                           Y
                                         1
                                           1
     Figure 4. Schematic diagram of the pilot coagulation installation.
            100
   90-

^ 80-

| 70-

i so
          0>
          O)
          0)
          T3
             so-
          §  40^
          •«M
          §
          c  30-


             20-


             10-
                                      pH-5.8
                      100      200     300     400
                    coagulant dose mg Al2(S04)3X 18

Figure 5. Average removal of nonionic detergents in relation to the coagulant
         dose and the pH values in wastewater.
                                29

-------
                                            Initial concentration of detergents
                                         . 16.0, 14.3, 13.0mg/l
                                         X 10.3,  8.2,  6.3mg/l
initial detergent
  concentration
                                        pH: 6.6
                                         initial alum dose: 200 mg/l
                                             20                     30
                                                 dose NaOCLmgCi2/l
 Figure 6. Influence of preliminary oxidation on nonionic detergent removal
          in wastewater after coagulation.
                100
                90
              *80
               2
               I 70
               860
               o
                 50
                 AO
                 30
                 20
                 10
                                    pH-5
                      TOO     200
                    coagulant  dose mg
                                        300
                                               WX)
Figure 7. Average COD removal in relation to coagulant and pH value.
                                 30

-------
              S          10                    20                    30
                                                        dose  NaOCI mg CI2/I
Figure 8. Influence of preliminary oxidation before coagulation on COD removal.
         (Tests for six wastewater samples.)
                                       pH: 6.6
                                       initial alum dose: 200 mg/l
                                            dose NaOCI mg CI2/I

        Figure 9.  Influence of oxidation with NaOCI on removal of residual
                  aluminum from coagulated wastewater.
                                    31

-------
filter media. The bed systems that gave posi-
tive results  during investigations are charac-
terized below:
  System I — Structure of the filtration bed
  and  grain size of particular  layers in the
  system were as follows:
    •  height - 0.15 m, gravel depth - 2
       to 4 m
    •  height - 1.5 m, gravel depth — 1.2
       to 2 m
    •  height — 0.15 m, sand depth — 0.4
       to 0.8 m.
  The mean dose of the coagulant was up to
200 mg/liter of aluminum and the time of
wastewater storage after addition of chemi-
cal  compounds was about  4 minutes. The
process was carried  out in parallel in two
columns, with the pH being lowered in one
of them by means of hydrochloric acid. The
average filtration cycle was about 24 hours.
Table 4 presents mean  results of the opera-
tion of a pilot installation for 24 days at a pH
of under 6.8. The obtained results of con-
taminant  removal were satisfactory.  Re-
moval of biodegradable organic substances
was fairly  great  and  equaled,  on  the
average,  87 percent.  Organic  refractory
compounds  determined  by  COD accom-
plished 65 percent removal.
  The influence of preliminary oxidation on
the obtained treatment effectiveness is evi-
dent in Table 5. An increase higher than 10
percent  was also found  in  color removal
after preliminary oxidation  of the  waste-
water with a dose of 10 to 14 mg Cl2/liter at a
contact time of 15 minutes.
System H — The structure of bed medium
and  the  granular size of  particle  layers in
this  system were as follows:
  •  height — 0.4 m, gravel depth — 3 to
     6 mm
  •  height — 1.3 m, sand depth — 1.2 to
     2 mm
  •  height — 0.2 m, sand depth — 0.4 to
     0.8  mm.
The  applied aluminum dose equaled 250 to
270 mg/liter. In  spite of a higher  filtration
rate the  cycle was about 1 day. In this sys-
tem  a series of  investigations was carried
out  by using hydrochloric  acid  at  a  de-
creased  wastewater  reaction. The  waste-
waters, after coagulation  on contact  filter,
were oxidized with NaOCl with a dose of 15
to 20 mg C^Aiter and subsequently filtrated
through an anthracite sand bed at a rate of 3
m/h. The results are presented in Table 6.
  A  decrease in the wastewater  reaction
from a pH of 7.3  to a pH of 6.8 caused  a par-
ticularly  evident increase in the removal of
red color measured by extinction at a wave-
length equal to 400 mm. Oxidation of postco-
agulation  wastewaters  with  secondary
filtration caused an  increase in the removal
percent of all parameters.
              TABLE 4. CONTAMINANT REMOVAL DURING FILTRATION WITH SIMULTANEOUS
                                  COAGULATION FOR LOWER pH
                       (AVERAGE RESULTS BASED ON 24 DAYS OF OPERATION )
Biologically
treated effluent

Parameters
PH
Alkalinity, meg/liter
Permanganate COD,
mg 02/liter
COD, mg 02/liter
BODs, m9 02/liter
Suspended solids.
mg/liter
Color, mg pt/liter
Color threshold
Average
concentration
7.8
7.8

18.5
72
13.6

32
57
19:100
Standard
deviation
0.2
2.2

7
26
4.6

16
23
6:100
Coagulated
effluent
Average
concentration
6.5
3.4

9.2
25
1.7

13
21
60:100
Standard
deviation
0.3
1.6

3.6
17
1.1

10
12
30:100
Removal
(percent)



50
65
87

56
60

                                            32

-------
  The combined treatment system, which in-
cluded the use of contact filters, was examined
in order to check the combined operation and
effectiveness  of selected tertiary  processes
evaluated  as  optimum  (Figure 10). Average
effectiveness  of this system for COD para-
meters is given in Table 7.
                TABLE 5. CONTAMINANT REMOVAL DURING FILTRATION WITH SIMULTANEOUS
                    COAGULATION APPLIED TO WASTE WATER PRELIMINARILY OXIDIZED
                    WITH NaOCI (AVERAGE RESULTS BASED ON 28 DAYS OF OPERATION)
Biologically
treated effluent

Parameters
PH
Alkalinity, meq/liter
Permanganate COD,
mg 02/liter
COD, mg 02/liter
Suspended solids.
mg/liter
Color, mg pt/liter
Color thresh old
Average light
absorption, E
Average
concentration
7.7
8.3

19.0
80

50
56
20:100

0.093
Standard
deviation
0.2
3.2

3.5
29

22
15
7:100

0.040
Coagulated
effluent
Average
concentration
6.4
3.3

7.9
22

9
17
69:100

0.030
Standard
deviation
0.4
1.6

1.3
6

7
8
31:100

0.026
Removal
(percent)



58
72

82
70


68
        TABLE 6. CONTAMINANT REMOVAL DURING FILTRATION WITH SIMULTANEOUS COAGULATION,
          FOLLOWED BY OXIDATION WITH NaOCI AND SUBSEQUENT FILTERING (AVERAGE RESULTS
                               BASED ON 14 DAYS OF OPERATION )
Biologically
treated effluent

Parameters
PH
Alkalinity, meq/liter
Permanganate COD,
mg 02/liter
COD, mg 02/liter
Suspended solids,
mg/liter
Average light absorp-
tion, E X=400 nm
Average light absorp-
tion, E X=550 nm
Average
concentration
8
8.6

24
100

20

0.350

0.250
Standard
deviation
0.2
1.8

6
25

15

0.120

0.100
Coagulated effluent
Average
concentration
6.8
4

13
40

10

0.150

0.160
Standard
deviation
0.3
2.2

3
13

7.5

0.070

0.090
Coagulated, oxidized
and secondarily filtered
Average
concentration
6.8
4

9
30

2

0.040

0.010
Standard
deviation
0.3
2.2

3
10

1.5

0.030

0.005
Removal
during
coagulation
process
(percent)



45
60

50

57

36

Total
removal
(percent)



62
70

90

88

98
                                           33

-------
                TABLE 7. AVERAGE EFFECTIVENESS OF THE COMBINED SYSTEM FOR COD
               Kind of sample
Concentration
 mg 02/liter
 Removal in
unit processes,
 in percent
Cumulative
 removal,
in percent
Biological
Contact coagulation
effluent
After filtration and
preliminary oxidation
with NaOCI
After adsorption
After ozonation
100

40


30
6
5


60


25
80
16


60


70
94
95
     Figure 10. Schematic diagram of the pilot installation for combined treatment processes.
CONCLUSIONS

  • The method of surface coagulation on con-
    tact filters lends itself more to coagulation
    of biologically treated wastewater than
    conventional  coagulation performed  in a
    reactor, with suspended floes. This is an
    effective and economical method of ter-
    tiary treatment.
  • Preliminary oxidation before the coagula-
    tion process increases the removal of color
    and nonionic detergents.
  • Decrease in pH produces better removal
    from refractory pollutants.
  • Aluminum  salts  should  be  used  for
    coagulation of wastewater, since use of
                  ferric salts caused secondary wastewater
                  color.
                • Before  the  coagulation  process, prelim-
                  inary treatment of textile wastewater is
                  necessary for  pH  control  and efficient
                  removal of biodegradable organics in the
                  activated sludge process.

              REFERENCES

              1.  D. M. Mine, W. P. Krisztul,  and A. M.
                 Pierlina, Mietod Kontaletnoyo  Osbietlenia
                 Wody, "Method of Contact Clarification of
                 Water,"  Sanitarnaja  Technika,  Moskva,
                 1954.
              2.  G. Alpe and A. Barret, "U.K. Developments
                                             34

-------
   in Upflow Titration," Fifth Federal Conven-
   tion  of the Australian Water and Waste-
   water Association, Adelaide, 1972.
3.  D. M. Mine, "Modern Theory of Filtration,"
   International Water Supply Congress, Spe-
   cial Subject No. 10, Barcelona, 1966.
4.  K. J. Ives, "Theory of Filtration," Interna-
   tional Water Supply Congress, Special Sub-
   ject No. 7, Wien, 1969.
5.  G. J. Iranijuszin, Primienienie pieszczanych
   filtroir na stancjoch alracji, "Application of
   Sand Filters  at  the  Sewage  Treatment
   Plants,"  Wodosnabzenie,   Sanitarnaja
   Technika, No. 6, 1966.
6.  N. A. Lukinych and B. L. Lipman,  Dooc-
   zistka Gorodskich Stocznych vod na filtrach
   z  voschodieszczim  potokom,  "Tertiary
   Municipal Wastewater Treatment on Up-
   flow Contact Filters," Naucznye Trudy, No.
   105, Ak. Ch., Moskva, 1976.
7.  H.  Kloss-Trebaczkiewicz, Zastosowenie
   filtroir  kontaktozych  do doczyszczania
   scieleow  biologiernie ocryszcronych, "Ap-
   plication  of Contact  Filters  to Tertiary
   Treatment of Biological  Effluents," Doc-
   toral Thesis, Warsaw Technical University,
   Warsaw, 1978.
                                             35

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         USE OF POWDERED ACTIVATED CARBON FOR TEXTILE
                    WASTEWATER POLLUTION CONTROL

                        David G. Button, Francis L. Robertaccio*
Abstract

  Plant-scale performance tests show that the
addition of powdered activated carbon to ac-
tivated sludge plants treating textile wastes
significantly improves effluent quality.  The
combined process has also been found to signif-
icantly reduce certain priority pollutants. Ex-
perience shows that the  combined activated
carbon-activated sludge process can be easily
scaled up. Studies suggest that carbon regen-
eration is not  required for  an economically
practical process, but may be suggested for im-
proved economics and as an efficient means of
sludge disposal Performance data from Du
Font's 1.75  m3/s (40 MOD) wastewater treat-
ment plant treating waste from dye and textile
chemicals manufacture are presented. Carbon
regeneration performance will  also  be  dis-
cussed.

INTRODUCTION

  Best practicable treatment (BPT) is now well
over a year behind most of  us. The  EPA
reports that 90 percent of industry met their
goal of July 1, 1977 for  operation of BPT
facilities. While surely there have been permit
violations  from time to time,  the literature
does not suggest any widespread problem  of
meeting NPDES permits for the conventional
pollutants required  under BPT.  Most of the
textile industry utilizes biological treatment,
which tends  to give log-normal distribution  of
effluent quality data for any  particular plant.
Hence, most plants can expect to periodically
have some permit violations.
  Now our thoughts turn toward  coping with
the provisions of the Clean Water  Act of 1977.
While the requirements are still in  the formula-
tion stage, it seems clear that three types  of
technology based effluent standards will be re-
quired on or  before July 1, 1984. These are:
  • Conventional pollutants — BOD, suspended
    solids, etc., that are now in our permits;
    plus, perhaps, something like total organic
    carbon  (TOO, dissolved  organic carbon
    (DOC), or chemical oxygen demand (COD).
  • Toxic compounds — Any of the 129 specific
    compounds derived from the 65 classes of
    toxic compounds incorporated in the Clean
    Water Act of 1977. These are  listed  in
    Table 1, for reference.
  • Nontoxic nonconventional pollutants — A
    third  group of pollutants, which are not
    specifically listed as either toxic or  con-
    ventional. Such pollutants may include col-
    or, turbidity, chlorides, TDS, etc.
  This paper will compare the effectiveness of
a  combined  powdered  activated   carbon-
activated  sludge treatment (Du Pont PACTt
Process) with  conventional activated sludge
for  all three classes of pollutants. Economics
will also be discussed.

CONVENTIONAL AND
NONCONVENTIONAL POLLUTANTS

Du  Font's Chambers Works

  While Du Font's Chambers Works is not a
textile mill, it is a dye and textile  chemical
manufacturing site and has many, if not most,
of the pollutants in the wastewater  that  one
would find at a textile  mill. In  June 1977,
Chambers  Works began operation of its waste-
water  treatment plant to  comply with best
practicable technology (BPT) regulations. This
wastewater treatment plant consists of neu-
tralization and settling for primary treatment
followed  by  combined powdered activated
carbon-activated sludge (Du Pont PACT Proc-
ess)  for secondary/tertiary  treatment.  The
wastewater, varying from 1.0 to 2.2 m3/s (23 to
50 MGD) during the first year of operation, is
fed to the process without equalization (Figure
1). Wastewater is pumped into the neutralizers
where lime is  added for neutralization. Poly-
  *E. I. du Pont de Nemours, Inc., Wilmington, DE.
  tDu Pont service mark for powdered activated carbon
  treatment.
                                           37

-------
                                 TABLE 1. PRIORITY POLLUTANTS
Chlorinated alkanes
Methyl chloride
Methylene chloride
Methyl bromide
Chloroform
Bromoform
Carbon tetrachloride
Dichlorobromomethane
Trichlorofluoromethane
Dichlorodifluro methane
Chlorodibromomethane
Chloroethane
1,1-Dichloroethane
1,2-Dichloroethane
1,1,1-Trichloroethane
1,1,2-Trichloroethane
1,1,2,2-Tetrachloroethane
Hexachloroethane
1,1-Dichloroethylene
1,2-trans-Dichloroethylene
1,2-Dichloropropane
1,2-Dichloropropylene
Tetrachloroethylene
Vinyl chloride
Hexachlorobutadiene
Hexachlorocyclopentadiene

Chlorinated aromatics
1,2,4-Trichlorobenzene
Chlorobenzene
Hexachlorobenzene
2-Chloronaphthalene
1,2-Dichlorobenzene
1,3-Dichlorobenzene
1,4-Dichlorobenzene

Chlorinated ethers
bis(Chloromethyl) ether
2-Chloroethyl vinyl ether
4-Bromophenyl phenyl ether
bis(2-Chloroethoxy) methane
bis(2-Chloroethyl) ether
4-Chlorophenyl phenyl ether
bis(2-Chloroisopropyl) ether

Aromatics
Benzene
Toluene
Ethylbenzene
Naphthalene
Fluoranthene
Aromatics (con.)
Acenaphthene
Benzo(a)anthracene
Benzo(a)pyrene
Chrysene
lndeno(1,2,3-c,d)pyrene
3,4-Benzofluoranthene
Benzo(K)fluoranthene
Acenaphthylene
Anthracene
Benzo(ghi)perylene
Fluorene
Phenanthene
Dibenzofa, h)anthracene
Pyrene

Phthalate esters
bis(2-ethylhexyl)phthalate
Butyl benzyl phthalate
Di-n-butyl phthalate
Di-n-octyl phthalate
Diethyl phthalate
Dimethyl phthalate

Phenols
Phenol
2-Chlorophenol
2,4-Dichlorophenol
Pentachlorophenol
2-Nitrophenol
2,4-Dimethylphenol
4-Nitrophenol
2,4-Dinitrophenol
4,6-Dinitro-o-cresol
2,4,6-Trichlorophenol
para-Chloro-meta-cresol

Substituted aromatics
Nitrobenzene
2,4-Dinitrotoluene
2,6-Oinitrotoluene
2,3,7,8-Tetrachiorodibenzo-p-dioxin
Benzidine
3,3'-Dichlorobenzidene
1,2-Diphenyl hydrazine
Polychlorinated biphenyls
                           Miscellaneous
                           Acrolein
                           Acrylonitrile
                           Asbestos
                           Cyanide
                           Isophorone
                           N-Nitrosodimethylamine
                           N-Nitrosodiphenylamine
                           N-Nitrosodi-n-propylamine

                           Pesticides
                           Aldrin
                           Oieldrin
                           Chlordane
                           4,4-DDT
                           4,4-DDE
                           4,4-DDD
                           a-Endosulfan-alpha
                           b-Endosulfan-beta
                           Endosulfan sulfate
                           Endrin
                           Endrin aldehyde
                           Heptachlor
                           Heptachlor epoxide
                           a-BHC- alpha
                           b-BHC-beta
                           r-B H C( Lindane) -gamma
                           g-BHC-delta
                           Toxaphene

                           Metals
                           Antimony
                           Arsenic
                           Beryllium
                           Cadmium
                           Chromium
                           Copper
                           Lead
                           Mercury
                           Nickel
                           Selenium
                           Silver
                           Thallium
                           Zinc
PCB-1242
PCB-1254
PCB-1248
PCB-1221
PCB-1232
PCB-1260
PCB-1016
                                               38

-------
electrolyte is added to the neutralizer effluent
to aid in coagulating the fines prior to clarifica-
tion. Primary sludge settles and thickens in the
clarifiers, is pumped to storage, and finally is
pumped to  a  filter press  for  concentration
before disposal in a lined landfill.
  Powdered  activated  carbon  and   return
PACT sludge are added to the primary effluent
as it is fed to the aeration tanks. Polyelec-
trolyte is added to the aerator effluent to aid in
coagulating fines in the final clarifier. Treated
effluent combines with other plant streams in a
settling lagoon and is discharged to the Dela-
ware River.
  Excess PACT  sludge  is wasted from the
aerator effluent into a thickening and storage
tank. From here, the sludge is pumped to filter
presses. The 40 percent solids cake obtained by
filtration is then conveyed to a multiple  hearth
furnace where the bacteria are burned and the
powdered  carbon regenerated.  Regenerated
carbon is acid washed to prevent inert solids
buildup, and then returned to the aerators.
Makeup carbon is added as  required.
  Typically, the feed to the Chambers  Works
wastewater treatment plant has the composi-
  tion shown in Table 2. The wastewater can be
  characterized as a strongly acidic, highly col-
  ored, medium strength waste. It has a  low
  BOD/DOC ratio, suggesting a high ratio of non-
  biodegradable compounds. The wastewater is
  somewhat brackish and has a relatively  low
  suspended solids content.
    For  a portion of that year, December 14,
  1977 through May 30, 1978, a  laboratory acti-
  vated sludge unit and a plant  PACT tracking
  unit were run in parallel with the wastewater
  treatment plant  (WWTP). The plant tracking
  unit operated at the same temperature, carbon
  type, and dose as the plant. For this time frame
  not only can plant performance be  observed,
  but scaleup  information and a comparison of
  PACT versus activated sludge can be obtained.
  A schematic of the operation during this time
  frame is shown in Figure 2.
    BOD5 performance is shown in Table 3 and
  Figure  3.  The  feed  BOD5  averaged  174
  mg/liter, virtually the same as  the primary ef-
  fluent.  However, as noted in Figure 3, the feed
  BOD5  distribution was  very peculiar,  at-
  tributed to the somewhat biologically inhibi-
  tory nature of this waste, and to the inability to
                        Primary

                           Lime Polymer
r»tv,n & " •'" '*'• * PfCJ ?r(XS3B  •-'.   • •
                                 :, ,:,«ili
                                                                                Chambers
                                                                                  \Afcrks
                                                                                  Solids
                                                                                 Handling
                                                                                Hydrochloric
                                                                                   Add
          Figure 1. Schematic diagram of Chambers Works wastewater treatment system.

                                             39

-------
     TABLE 2. CHAMBERS WORKS WASTEWATER TREATMENT
                        PLANT FEED
Flow, liters/sec
PH
Acidity, mg/liter
Total suspended solids, mg/liter
Total dissolved solids, mg/liter
Total BODg, mg/liter
DOC, mg/liter
Color, APHA units
December 1977-May 1978
    1,530 (24,200 gpm)
           1.98
           1,050
            111
           3,000
            174
            194
           1,400
Feed
w
Plant
Primary
Treatment



-*
Full scale
PACT

Laboratory
Activated
Sludge

Laboratory
PACT: Plant
Tracking
^ ^t*f\ »
> Effluent
	 ^Effluent
Figure 2. Parallel operation of units at Chambers Works.
                            40

-------
                      TABLE 3. CHAMBERS WORKS SOLUBLE BOD PERFORMANCE
                                  (AT -100 PPM CARBON OOSE)


Full Scale

Treatment Plant


No. of data points
Average BOD 5, mg/liter
Standard deviation,
mg/liter

Feed
79
174
93

Primary
effluent
115
175
74

PACT
effluent
121
5.1
3.8

Lab
PACT:plant
tracking
effluent
76
5.0
7.5

Lab
activated
sludge
effluent
78
10.3
9.9

 01
  O)
 &
    600
     500
    400
     300
 T§  200
    100
Bio Effluent   = Laboratory unit Activated
  ~ " "•"       Sludge Effluent
Lab Tracking   = Lab Unit PACT: Plant
  r~i"p%-       Tracking Effluent
WWTP Effluent = Full scale Treatment
  «-"-*«       plant Effluent
                                                          >
,-f
                                                                     / Feed
                                                                    X primary
                                      /  /
                                   X
                                      X
                             X
                                          X
                                         X
                       X
                                                          Bio -•»«-  LabTracking
                                                assrjrLT^-*1*^^, WWTP Effluent
       .1     .5  1.0  2.55.010.0    25.0     50.0    75.0   90.095.097.599.099.5   99.9
                                  Cumulative Percent
                    Figure 3. Chambers Works soluble BOD performance.
always get meaningful BOD5 data. Effluent
BOD5 from the plant averaged 5.1 mg/liter ver-
sus 5.0 mg/liter from the lab tracking unit. As
you can see, this represents  virtually perfect
scaleup from the laboratory 7-liter aerator to
the plant's  45,400  m3 (12  million  gallons) of
aeration. The activated sludge unit also  did
well during this 6-month period, but not as well
as the PACT units.
                                       Chambers Works has a stringent DOC limit
                                     in its permit, so there is a lot of interest in this
                                     parameter. As with the BOD5 data,  matched
                                     laboratory and plant data for a  greater than
                                     6-month period can  be compared.  Average
                                     DOC feed to the plant was 194 mg/liter, with an
                                     average effluent of 34.5 mg/liter (Table 4). Only
                                     a minor amount of DOC was removed in pri-
                                     mary treatment. Figure 4 shows the histogram
                                            41

-------
plots of the data, with the envelops showing
the best log normal fit of the data. While there
is some difference between the laboratory and
plant results, this difference is well within one
standard deviation, and is small compared to
the difference between PACT and  the acti-
vated sludge unit. With activated sludge alone,
Chambers Works could not meet its DOC per-
mit limit.
  Chambers Works already has a permit limit
for color,  a nonconventional parameter. The
matched laboratory and plant samples show a
color increase over primary treatment and no
removal of color by the activated sludge pro-
cess  (Table 5). The  carbon addition  in the
PACT  units effects  about 60 percent color
removal at the  carbon dose used, which is
enough for Chambers Works to meet its per-
mit. Again the log normal distribution of data
is seen in Figure 5.
              Acidic Dye and
              Fine Chemical Manufacturer

                Similar results to  the  above  Chambers
              Works case  were reported  by ICI, United
              States, for a small acidic dye and fine chemical
              plant. Following lime neutralization, the waste
              was treated by a conventional extended aera-
              tion activated sludge process 817 m3/day (0.216
              MGD) design flow plant. Two carbons  were
              tested at 85 ppm dosage levels, which resulted
              in equilibrium aerator carbon levels of  1,700
              mg/liter.  The carbon addition improved both
              COD and phosphorus  removal (Table 6), com-
              pared to the control (ref. 1).

              Eastern Pennsylvania Municipality  (ref. 6)

                Tests of carbon addition were conducted at
              an eastern  Pennsylvania municipality  that
                           TABLE 4. CHAMBERS WORKS DOC PERFORMANCE
                                  (AT ~100 PPM CARBON DOSE)
\lo. of data points
Average DOC, mg/liter
Full Scale
Treatment Plant
Primary PACT
Feed effluent effluent
183 192 198
194 186 34.5
Lab
PACTiplant
tracking
effluent
177
29.0
Lab
activated
sludge
effluent
175
61.5
               Standard deviation,
                mg/liter
35.2
30.5
9.4
8.7
15.2
                         TABLE 5. CHAMBERS WORKS COLOR PERFORMANCE
                                  (AT -100 PPM CARBON DOSE)
Full Scale
Treatment Plant
Feed
\lo.ofdatapoints 119
\verage color, APHA 1,130
Primary
effluent
142
1,410
PACT
effluent
153
460
Lab
PACT:plant
tracking
effluent
165
420
Lab
activated
sludge
effluent
160
1,410
              Standard deviation,
                APHA              410
        450
        180
                                                             190
                                     490
                                           42

-------
                                              WWTP Feed
                80
                80
                                              Primary Effluent
c:
o>
CT
LL
/
/
/
1

1 WWTP Effluent
1

160
160
240
320
400
c
QJ
CT
UL

/„

h

\ Lab Tracking Effluc
1
IL.
240
320
400
    OJ
    I
.
\ Lab Bio Effluent
nnjjc
. Ill JnirTT^a . 	 r_ 	 , 	 1 I 	
                80
160
240
320
400
Figure 4. Chambers Works dissolved organic carbon performance (concentrations in mg/l).
                                   43

-------
                                      WWTP Feed
                     1600        2400        3200        4000
                                      Primary Effluent
                     1600        2400        3200        4000
1
CD
LJ_
f
I
M



I

WWTP Effluent .
OS- -
0
800        1600        2400        3200        4000
                                      Lab Tracking Effluent
           1600        2400        3200
                                                      4000
o
                                      Lab Bio Effluent
1600        2400        3200
                                            4000
   Figure 5. Chambers Works color performance (concentrations in mg/l).
                             44

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                   TABLE 6. EFFECT OF CARBON ADDITION TO ACIDIC DYE AND FINE
                              CHEMICAL MANUFACTURER WASTE*
                                       "Hydrodarco C"
        'Hydrodarco H"
Control
Average flow, m^/day
Average food/microorganism
Aerator detention, hours
Average influent COD, mg/liter
Average effluent COD, mg/liter
Average percent COD removed
Average effluent SS, mg/liter
Average influent P, mg/liter
Average effluent P, mg/liter
Average percent P removed
530
.42
69
1,106
672
39
39
13
2.7
79
318
.15
114
774
332
57
30
4
0.6
85
530
.42
68
1,585
1,155
27
76
21
12
43
            'Reference 1.
                          TABLE 7. COMPARISON OF METALS REMOVAL AT
                                     CHAMBERS WORKS*



Cadmium, jug/liter
Chromium, mg/liter
Copper, mg/liter
Lead.jug/liter
Mercury, jug/liter
Nickel, mg/liter
Zinc, mg/liter

WWTP
feed
19.5
0.31
0.39
252
0.51
0.12
1.38

Primary
effluent
7.4
0.04
0.16
32
<0.1
0.08
0.52
Plant
PACT
effluent
6.5
0.02
0.05
21
<0.1
0.06
0.32
                  •Full-scale treatment plant.
received 70 percent of its feed from a textile
dyeing and finishing mill. A principal problem
at this  plant  was overloading,  with daily
average flows from 0.03 to 0.08 m3/s (0.75 to 1.8
MOD) and peaks to over 0.09 m3/s (2 MGD) in a
plant designed  for 0.045  m3/s   (1  MGD).
Powdered carbon additions of from 20 to  25
ppm, resulting in aerator concentrations of 900
mg/liter, increased BOD removals from 70 per-
cent to 90 percent (Figure 6).

PRIORITY POLLUTANTS

Metals

  The studies of Dyes Environmental and Tox-
icology Organization, Inc. suggest that a num-
ber of metals are found in the textile industry.
Du Font's Chambers Works has some of these
in its wastewater, where removal by primary
treatment and the PACT process can be ob-
served. As seen in Table 7, good removal of all
metals was obtained. It is to be noted, how-
ever, that most of the metals removal is accom-
plished by lime  neutralization to pH 7.0. In all
cases the metal removal is governed  by  the
final solubility,  with neither activated sludge
nor carbon being particularly effective for ad-
sorbing metals.

Nonmetals

Chambers Works has a lot of data on removal
of phenols  from wastewater.  This  is  not
C6H5OH, as measured by gas chromatography/
mass spectrometry (GCMS), but phenolics as
                                            45

-------
           100
            90
         o
70

60

50
         S  40
             30
             20
             10
                                                i    i
            Hydrodarco HJ^**
                                         Control
                1       5   10        30    50    70       90  95       99
                                  Cumulative Percent

                      Figure 6. Effect of powdered carbon on BOD removals.
measured by ASTM Method 510, a class test.
As  seen in Figure 7, the Chambers  Works
Wastewater Treatment Plant gives 95 percent
removal of phenolics, with a residual phenolics
concentration about 20 percent less than that
seen by activated sludge. Phenolics are basical-
ly quite biodegradable, and the difference bet-
ween PACT and activated sludge may not be
significant.
  For other organic priority pollutants Cham-
bers Works has some data on removal, as indi-
cated in Table 8. Excellent removals by PACT
                                  have been observed. In addition, a 99 percent
                                  removal of acrylonitrile by the PACT process
                                  was observed in a laboratory study.
                                   Berndt and Polkowski (ref. 3) report on the
                                  comparison of activated sludge and PACT with
                                  air oxidation for carbon regeneration (Table 9).
                                  The improved removal of PACT is readily
                                  seen. In this scheme it is reasonable to expect
                                  that individual priority pollutants can be col-
                                  lected at the source, co-fed with PACT sludge
                                  to the regeneration unit, and destroyed.
                                          46

-------
                                 WWTP Feed
                                 Avg. = 3.99
                                 Primary Effluent
                                    Avg. = 4.21
                                WWTP Effluent
                                   Avg. = 0.22
                                Lab Tracking Effluent
                                   Avg. = 0.16
                                Lab Bio Effluent
                                 Avg. = 0.27
Figure 7. Chambers Works phenolics performance (concentrations in mg/l).
                        47

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                       TABLE 8. REMOVAL OF ORGANIC PRIORITY POLLUTANTS
                             BY PACT PROCESS AT CHAMBERS WORKS
Concentration in ppb


4-Nitrophenol
Phenol
Toluene
Ethylbenzene
Chlorobenzene
WWTP
feed
56
440
680
29
1,900
WWTP
effluent
N.D.*
17.7
4.1
6.5
12
Percent
removal
>99
96
99
78
99
                     *N.D. = not detectable.
                       TABLE 9. COMPARISON OF PACT AND ACTIVATED SLUDGE
                                   FOR ORGANICS REMOVAL*
                                                     Effluent concentration
                            Organic
                     Chlorinated pesticides, mg/liter
                     Organo-sulfur pesticides, mg/liter
                     Organo-phosphate pesticides, mg/liter
                     PCB's, mg/liter
  PACT

  0.017
   0
  1.23
  0.008
Activated sludge

    0.35
   15.0
    3.03
    0.13
                     * Reference 3.
 ECONOMICS

   Gulp and Shuckrow (ref. 4) did an extensive
 economic study that compared, among other
 processes, the cost of a 0.44-m3/s (10-MGD) acti-
 vated sludge and a PACT process with wet air
 oxidation for carbon regeneration. While these
 economics were for a municipal plant with ex-
 tensive primary treatment, the primary treat-
 ment investment can be split out to give the
 comparison shown in Table 10. For reference,
 the Chambers Works PACT process cost about
 $26 million ($159 per m3/day at 151,400 m3/day
 capacity or $602,000/MGD at 43.2 MOD capaci-
 ty). Thus the PACT process cost, including car-
 bon regeneration, is 25 percent above a conven-
 tional activated sludge process, and 7 percent
 above a nitrifying  activated sludge process.
 They projected the cost  of the carbon feed
 system at $207,000  for  the 0.44-m3/s (10-MGD)
 plant, including engineering, interest, etc.
  Operating  costs were also projected  for a
0.44-m3/s  (10-MGD) municipal wastewater
treatment plant (Table  11). In this case  it was
not possible to split out the cost of primary
treatment. On an overall basis, the PACT pro-
cess costs were 15 percent higher than conven-
tional activated sludge and 6 percent higher
than nitrifying activated sludge.

CARBON REGENERATION

  A primary question often  asked about the
PACT process is: Can you regenerate the car-
bon? The immediate response to this is: Do the
economics justify it? Nearly everyone has a
wastewater treatment system already,  most
likely a biological treatment. Anyone  with a
biological system has a sludge disposal system.
Adding  carbon very likely will not add to the
volume  of sludge, only the dry weight. Hence,
the PACT sludge can be processed in the same
manner  as the activated sludge. In fact, ex-
perience shows that PACT can  be processed
more easily.
  In a study Chambers Works did for  the pe-
troleum industry, carbon addition to  an ex-
isting activated process at a dosage of 75 ppm
                                             48

-------
                     TABLE 10. INVESTMENT FOR 10 MGD MUNICIPAL SECONDARY
                      WASTEWATER TREATMENT PLANTS (SECONDARY ONLY)*
                                      PACT with
                                        wet air
                                       oxidation
            Activated
             sludge
          (conventional)
            Activated
             sludge
           (nitrification)
                 Secondary treatment,
                   $ thousands
6,388
5,124
5,986
Investment
$ Per m3/day
$ Per MGD

169
639,000

135
512,000

158
599,000
                  TABLE 11. OPERATING COST FOR 10 MGD MUNICIPAL WASTEWATER
                      TREATMENT PLANT (INCLUDING PRIMARY TREATMENT)*
PACT with
wet air
oxidation
Total annual operating
cost, (in thousands of dollars) 1,580
Dollars/m^ treated 0.114
Dollars/million gallons
treated 433

Activated
sludge

1,380
0.100

378
Nitrifying
activated
sludge

1,500
0.108

410
                  ^Reference 4.
(75 pounds of carbon added per million pounds
of wastewater treated) was assumed. At a 30
percent carbon yield loss during regeneration,
the carbon value alone could not justify carbon
regeneration at plant scales below 0.88 m3/s (20
MGD). Even then, only a 10 percent net return
on investment was achieved, or a payout time
of 5 years.
  On the other hand, carbon regeneration can
be very attractive if it also serves as a means
of ultimate disposal of bacterial sludge. Any of
several  methods can be utilized to regenerate
carbon  from waste PACT sludge. Chambers
Works has evaluated four methods: wet air ox-
idation,  multiple hearth  furnace,  transport
reactor, and fluidized bed. The high tempera-
ture  methods appeared to be more rigorous
when the Chambers  Works plant  was  de-
signed.  However, recently  laboratory  tests
with  wet air oxidation have  produced a  satis-
factory regenerated carbon.
   Chambers Works chose multiple hearth fur-
 nace regeneration, and installed a 5-hearth fur-
         nace 7.6 meters (25 ft) in diameter. While a lot
         of problems with sludge handling, particularly
         feeding, have hampered demonstration of what
         the multiple hearth furnace can do, one thing is
         clear; powdered carbon from the PACT proc-
         ess can be regenerated. Chambers Works is
         able to dispose of its waste  biological solids,
         and has been able to recycle  regenerated car-
         bon. Data from the period February through
         June  1978 from the Chambers Works furnace
         are shown in Table 12. As the furnace in-time
         increases, the carbon recovery is expected to
         increase.  The  carbon  properties  from  the
         mixed carbons  being  regenerated are very
         near one of the  carbons being  purchased (Table
         13). Thus, the  regenerated carbon  quality is
         satisfactory.
           From February  through  June 1978, carbon
         purchases averaged 111 percent  of that pro-
         jected in the technical manual for the  waste-
         water treatment plant. A lower carbon dosage
         requirement compensates for  the low regener-
         ated  carbon yield.  Within  the next year
                                             49

-------
                             TABLE 12. CHAMBERS WORKS CARBONS
                                 REGENERATION EXPERIENCE

                        Regeneration furnace in time, hours/day            16.6

                        Average feed rate, tons/day of dry solids            18.5

                        Carbon recovery, in percent                    58
                  TABLE 13. CHAMBERS WORKS REGENERATED CARBON PROPERTIES
Decolorization index
Iodine number
Regenerated
carbon
12.9
514
Virqin carbons
Type A
21.5
983
TypeB
15
504
Type C
13.6
581
Chambers Works may be purchasing less car-
bon than  expected  when the plant was de-
signed.

CONCLUSION

  In conclusion, full-scale plant tests show that
the combined powdered  activated  carbon-
activated sludge  process (PACT process) not
only does better than activated  sludge  on
removing conventional pollutants (BOD, DOC,
etc.), but is  also  more effective at removing
nonconventional pollutants such  as color. The
PACT process can remove many metals to low
levels.  Preliminary  results  show  that  the
PACT process is also very effective for remov-
ing some  organic priority pollutants.  PACT
process carbon can be regenerated if econom-
ics justify the investment.
REFERENCES

1.  "Powdered Hydrodarco Activated Carbons
    Improve  Activated  Sludge  Treatment,"
    ICI United States Bulletin PC-4, October
    1972.
2.  Alan  D. Adams, "Carbon Adsorption Aids
    Activated  Sludge Treatment at Dyeing
    and Finishing Plants," American Dyestuff
    Reporter, Vol. 65, No. 4, pp. 32, 34, 36, and
    38, 1976.
3.  Craig L. Berndt, and L. B. Polkowski, "Pact
    Upgrades Wastewater Treatment," Water
    &  Wastes Engineering, pp. 48-50,  May
    1978.
4.  Gordon L. Gulp, and  A. L. Schuckrow,
    "What Lies  Ahead  for  PAC,"  Water &
    Wastes Engineering, pp. 67-74, February
    1977.
                                           50

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              ACTIVATED CARBON ADSORPTION FOR TEXTILE
                     WASTEWATER POLLUTION CONTROL

                               E. J. Schroeder, A. W. Loven*
Abstract

  Carbon adsorption  technology may be uti-
lized for advanced wastewater treatment to im-
prove the effluent  quality beyond what can
generally be achieved with  biological treat-
ment and to treat wastewaters not amenable to
biological treatment. Carbon adsorption is pri-
marily effective for the removal of dissolved
organic materials and, therefore, will reduce
the concentration of such parameters as bio-
chemical oxygen demand (BOD), chemical oxy-
gen demand (COD),  total organic carbon (TOC),
and specific organic constituents. Carbon ad-
sorption processes  will likely play an impor-
tant role in future  treatment systems  in the
removal of toxic pollutants as well as conven-
tional pollutants.

INTRODUCTION

  Full-scale carbon adsorption  systems are
now being utilized in several municipal and in-
dustrial wastewater pollution control applica-
tions. Carbon adsorption technology has been
successfully utilized and proven in the waste-
water pollution control field, and although it is
not effective in all  cases,  it is capable of re-
moving a wide range of organic pollutants. Its
major disadvantage has been  cost (dollars per
pound of pollutant  removed)  as  compared to
biological treatment. Therefore,  carbon proc-
esses are generally  used only when specific ef-
fluent  requirements justify the greater ex-
penditure, biological treatment does not work,
or if it is economical to reuse the treated ef-
fluent.
  Currently there are few waste treatment in-
stallations reported with full-scale  carbon ad-
sorption processes  in the  textile industry as
compared  with  such industries  as organic
chemicals, dye manufacturing, and  pesticides.
However, there  have  been several extensive
studies and experimental programs on carbon


  *Engineering-Science, Inc., Atlanta, GA.
adsorption processes in the treatment of tex-
tile wastewaters and a good understanding has
emerged concerning application and effective-
ness. It should be understood that the textile
industry has a wide variety of manufacturing
processes that contribute to significantly dif-
ferent  wastewater characteristics  among the
plants  even  in  a  similar category. Also the
large variety of dyes, sizing agents, dispersing
agents, finishing materials, etc. have an in-
fluence on wastewater characteristics. These
waste characteristics definitely impact on the
treatment effectiveness and economic feasibil-
ity of carbon adsorption systems.


CARBON ADSORPTION PROCESSES  FOR
WASTEWATER TREATMENT

  With the present state of the technology and
economic factors, there are two basic types of
carbon  adsorption treatment processes  that
may be considered for end-of-pipe  application
with textile waste treatment;  granular acti-
vated carbon adsorption  (GAC), and powdered
activated carbon (PAC) with activated sludge.
Each  of these  processes has certain advan-
tages which should be tested and evaluated for
a particular application.

GRANULAR ACTIVATED CARBON
ADSORPTION

  A typical treatment scheme utilizing a GAC
tertiary treatment system (i.e., following acti-
vated sludge secondary treatment) is shown in
Figure 1. A multimedia filter (MMF) is recom-
mended prior to the GAC columns to reduce
the concentration of total suspended solids in
the influent to the GAC system. The lower
total suspended solids concentration allows the
GAC system to perform more efficiently by not
"blinding" the carbon surface. The MMF also
provides protection for  the GAC unit in the
event of an upset in the biological treatment
system which might result in a shock loading to
the GAC system  of total  suspended solids
                                            51

-------
being discharged from the secondary clarifier.
  For illustration purposes a conceptual proc-
ess flow diagram  of a 2-stage, countercurrent
pressure downflow GAC system is shown  in
Figure 2. This system  consists of three ad-
sorber units, a backwash sump, and influent
and backwash pumps. In this scheme the ad-
sorbers are operated with two units in series
and the third adsorber as a standby unit. When
the carbon is exhausted in the first adsorber it
is taken out of service and the standby unit is
placed in the number two series position. The
exhausted adsorber is charged  with regener-
ated or virgin carbon and then assumes the
standby  position.  The  GAC effluent is dis-
charged to a backwash sump before final dis-
charge. The backwash sump serves as a reser-
voir of water for  backwashing the adsorbers.
Backwash water containing carbon fines and
other suspended solids is discharged into the
biological system.
  Carbon regeneration can be provided offsite
through a  regeneration  contract  service  or
may be performed with onsite regeneration
furnace  facilities. Large carbon  usages
(approximately 2,000 Ib/day) are required  to
economically justify onsite  regeneration facil-
ities.

Powdered Activated Carbon
With Activated Sludge

  One of the most promising applications of
PAC is in the activated sludge process. The
PAC with activated sludge process is a recent-
ly  developed modification to the  activated
sludge process that has been demonstrated to
significantly upgrade the  effluent  quality of
the  conventional activated sludge  treatment
system.  In  this process, powdered  activated
carbon is added to the  activated sludge aera-
tion basin thus enhancing the organic removal
through  adsorption and also by some interac-
tion with the biological system. Compared to
other tertiary treatment processes, PAC with
activated sludge may have considerable eco-
nomic advantages. The  primary economic ad-
vantage  is  the low capital expenditure  re-
quired to convert an existing activated sludge
treatment plant to a PAC with an  activated
sludge treatment process. However, operating
costs may be high depending on the desired ef-
fluent quality and the required carbon dosage.
Although carbon regeneration  for  the  PAC
with activated sludge process has been demon-
strated to be technically feasible, it may be
several years before regeneration equipment
develops to  the point of making regeneration
economically attractive.
  A typical treatment scheme utilizing a PAC
treatment process is shown in Figure 3. The
aeration basin should have sufficient mixing to
maintain  the carbon and mixed  liquor in sus-
pension.  The solids loading on the secondary
clarifier is increased because of the additional
carbon in the mixed liquor; therefore, coagu-
lant usage may be required to enhance solids
settling and, hence,  prevent overloading the
                                 COLUMN BACKWASH
  RAM
  WASTEWATER
  FROM
  TEXTILE'
  PLANT

FILTER BACKWASH
1

BIOLOGICAL
TREATMENT
(AERATION BASIN)
i


RETURN
s
/SECONDARY^
	 H CLARIFIER I 	 •
SLUDGE
I
WAS
SLU

MULTIMEDIA
FILTER





GRANULAR
ACTIVATED
CARBON
ADSORPTION
SYSTEM
IM^— ^^BV
i I
1 1 CARBON
1 L MAKEUP
* i
TE
DGE



CARBON
REGENERATION

                               TREATED
                               EFFLUENT TO
                               RECEIVING
                              'STREAM OR
                               RECYCLED
                               FOR REUSE
                                                          (ONSITE OR OFFSITE OPTION)

       Figure 1.  Typical wastewater treatment scheme utilizing a GAC tertiary system.
                                            52

-------
                                miivt u*u> FOR mnaai
    IKFUEHT FROf
    MULTI-MEDIA FILTER
                                                                                       TO PLANT JNFLUEKT
                                                                                      CARBOK CHARGE
                                                                                      (SLURRY)

                                                                                      CARBOS DISCHARGE
                          BACKWASH SUMP
              Figure 2.  Conceptual process flow diagram activated carbon adsorption.
ADDITI
OF ROW
ACTIVA
RAM
WASTEWATER
FROM ,
ON
DERE
TED
TEXTILE
PLANT
D
CARBON
AERATION
BASIN

POLYM
ADDIT
(OPTI
ER
ION
ONAL)
/SECONDARY'S
/ /•>( noTi-tr-n \ ~.


MULTIMEDIA
FILTER
(OPTIONAL)
* RETURN SLUDGE
WASTE SLUDGE
FILTER BACKWASH

                                                                                TREATED
                                                                                EFFLUENT TO
                                                                                RECEIVING
                                                                                "STREAM OR
                                                                                RECYCLED
                                                                                FOR REUSE
                 Figure 3.  Typical wastewater treatment scheme utilizing a PAC
                             with activated  sludge treatment process.
secondary  clarifier. Powdered activated car-
bon  -'.oded to the  mixed  liquor  means more
waste  sludge is  produced  for  disposal. How-
ever, the powdered carbon may improve de-
watering characteristics of the sludge although
sometimes the reverse has been  shown to  be
'rue. The addition  of  multimedia filtration
after secondary clarification is an option that is
dependent on  the desired effluent total sus-
pended solids level.
  PAC has also been applied with limited suc-
cess on a tertiary treatment process either in a
                                                53

-------
single-stage rapid mix-clarification step, as in a
reactor clarifier, or in a multistage countercur-
rent application. This approach has not been
proven economically competitive  with  GAC
due  to poorer inherent adsorption efficiency
and  problems in regeneration.
 EXPERIMENTAL TESTING OF CARBON
 ADSORPTION WITH TEXTILE
 WASTEWATER

   Extensive indepth carbon  adsorption  ex-
 perimental studies have been  conducted over
 the last 2 years with textile wastewaters in a
 project jointly  sponsored by  the  American
 Textile  Manufacturers  Institute,  Northern
 Textile Association, Carpet and Rug Institute,
 and the U.S. Environmental Protection Agen-
 cy. As part of this project, GAC was evaluated
 for tertiary treatment with pilot-scale equip-
 ment at 19 textile plants that  were chosen as
 representatives of the various subcategories in
 the industry. The PAC  with activated sludge
 process was also evaluated with bench-scale
 equipment using wastewaters from 10 repre-
 sentative textile plants. The results from these
 studies indicate potential effectiveness of car-
 bon adsorption for textile wastewater  treat-
 ment.

 Granular Activated Carbon
 Experimental Studies

   The  GAC tests  were conducted  in two
 mobile  pilot plant  trailers that  were trans-
 ported to the 19 textile plant  sites during  a
 17-month period from May 1977 to September
 1978. Effluents  from the existing  biological
 treatment plants were used as influents to the
 pilot  plant  units. Hence, variability  of best
 practical treatment (BPT) plant effluent qual-
 ity was incorporated into the technical evalua-
 tion of pilot-scale performance.
   The GAC pilot equipment consisted of a mul-
 timedia filter unit followed by three carbon col-
 umns operated in series. A sketch of the  filter
 unit is presented in Figure 4. The flow rate to
 the 13.5-in. diameter pilot filter was varied be-
 tween 1 and 7 gpm, which represented a sur-
 face  loading rate of 1 to 7 gpm/ft2. The  op-
timum surface loading rate for the filter (based
on head loss, effluent quality, and  filter run
time) was determined during an initial 2- to
3-week screening period at each plant site, ihe
filter was operated at a selected optimum rate
(if secondary effluent characteristics remained
relatively constant)  during  the remainder of
the experiment at  that site.
  A sketch of a single carbon column is shown
in Figure 5. The  carbon selected for the in-
dividual  experiments was based on a prelim-
inary comparison of TOC and color adsorption
isotherms for each wastewater with both a lig-
nite- and bituminous-based carbon. Three pilot
carbon columns  were operated in series with
an  empty-bed retention time  of 45  minutes
(total) unless individual wastewater charac-
teristics  dictated a longer or shorter retention
time. Samples were collected before and after
each column in order to monitor breakthrough
and exhaustion  by developing  breakthrough
curves. Single-cycle carbon regeneration tests
were performed on the spent carbon  samples
from 12 different sites.
   The COD reduction performance with the
 GAC pilot units is summarized by a bar chart
 in Figure 6. COD is one of seven promulgated
 effluent  guideline parameters  and it  is the
 parameter that can generally  be  effectively
 reduced with carbon adsorption.  The  GAC
 process  obtained  the highest  percent  COD
 reduction in Subcategories II (Wool Finishing),
 V (Knit Finishing), and VI (Carpet). The GAC
 process  was not as  effective for overall per-
 centage  COD reductions in Subcategories I
 (Wool Scouring), IV (Woven Fabric  Finishing),
 and VII (Stock and Yarn Dyeing). With the ad-
 dition of the GAC process for tertiary treat-
ment it  can  be  predicted that  the presently
promulgated best available technology eco-
nomically achievable (BATEA) guideline lim-
itations  for  conventional pollutants  can  be
achieved on a technical basis in Subcategories
I, II, V,  and  VI, but could not  be achieved in
Subcategories IV and VII. This does not mean
that the GAC process is the most cost-effective
treatment alternative, indeed  there  may  be
other less expensive processes  that are suit-
able, only that it is technically feasible in the
Subcategories mentioned above (I,  II, V, and
VI). The  economic effectiveness and economic
impacts of the application of these technologies
is still under review by participating organiza-
tions.
  The results from  the  carbon regeneration
                                             54

-------
SURFACE WASH
  PO
          12"
          12"
           16"
    DRAIN
                                             INFLUENT  I
                                                      X
                          SIGHT GLASS
                             O-
                                      (PRESSURE
                                      INDICATOR
 ANTHRACITE COAL
  0.9 - 1.5 mm
	13.5"	
                       .  •   -SAND  .   -
                        -0.4 •-  0.8-mm
           .. •••/••
  v           • •
/-•  °f GRAVEL
    t/4"  x 5/8"
                          AIR SCOUR
                                                         BACKWASH  DRAIN
                                                     r
                                                   -STEEL  COLUMN
                                                BACKWASH
                                                          -|X]——EFFLUENT
             Figure 4.  Sketch of pilot multimedia filter unit.
                                  55

-------
        INFLUENT
             1X1	-1
                    GRAB  SAMPLE
                       PORT
                         CARBON DRAIN
                    AIR SCOURIX}
                    BACKWASH [X]
                                                                   SCHEDULE 80 PVC
                           EFFLUENT
                        Figure 5.  Sketch of pilot carbon column unit.
tests, after one adsorption-regeneration cycle,
indicated the carbon was successfully regener-
ated in all cases. No unusual or major problems
are indicated in regenerating the granular car-
bon, based on this preliminary data.
  Wastewaters from Subcategory IV (Woven
Fabric Finishing) and Subcategory VII (Stock
and Yarn Dyeing) were not particularly ame-
nable to carbon adsorption for COD removal.
Throughout  both subcategories, problems re-
lated to nonadsorbability of certain COD frac-
tions  as  well  as COD "stripping" were ob-
served. Identification of specific compounds
and wastewater characteristics contributing to
this effect demands further detailed study.

Powdered Activated Carbon With
Activated Sludge Experimental Studies

  The PAC with activated sludge experiments
were conducted on a bench-scale basis as a pre-
liminary screening evaluation to determine the
                                            56

-------
TOO
90
80
§ 70
i— i
1—
l_>
g 60
£
g 50
0
z 40
UJ
g
£ 30
20
10
TEST °
PLANT
SUBCATEGORY

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:::::
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EFI
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:LUENT ACHIEVED BATEA
DELINE VALUES
:LUENT COULD NOT ACHIE1
fEA GUIDELINE VALUES

17
VII
V
18
III

19
IX
               WOOL     WOOL
              SCOURING FINISHING
WOVEN FABRIC FINISHING
KNIT FABRIC  CARPET  STOCK   COM.  MULTI-
 FINISHING       AND YARN  FIN.   OPS.
                DYEING
          Figure 6.  Summary of COD reduction performance with  GAS pilot units.
 technical feasibility of the process as applied to
 textile wastewaters.  Ten textile plants repre-
 senting  the  various  subcategories were se-
 lected for the study. Raw waste samples were
 shipped  weekly to the  Engineering Science,
 Inc. laboratory in Atlanta, Georgia during the
 study period. Several different test conditions,
 primarily with regards to carbon dosage, were
 evaluated simultaneously in the lab.
   Each plant experiment was conducted utiliz-
 ing three 10-liter plexiglas bioreactors (similar
 to the one shown in Figure 7). The three bio-
 reactors  were seeded with activated sludges
 from the textile mill and  a municipal/industrial
 wastewater treatment plant and subsequently
 acclimated to the textile  wastewater. After ac-
 climation was achieved,  TOC  isotherms were
 performed on the bioreactor effluent to select a
 powdered carbon (lignite or bituminous base)
 and carbon dosage range to evaluate. The car-
 bon  dosages  were  typically  in  the range  of
 1,000 to 10,000 mg/liter (in the mixed liquor) in
 ordei to bracket the expected technically effec-
 tive  range. Carbon  was added at the selected
 high and  low carbon dosages to two of the bio-
 reactors  and the system was  allowed further
time to acclimate. The  third  bioreactor  was
                operated as a control unit. Data was collected
                and evaluated after steady-state was achieved
                in the three bioreactors.
                  The  results of the  PAC  with activated
                sludge screening tests with  the  ten  textile
                plant wastewaters are summarized in the bar
                charts  in  Figure 8.  The PAC with activated
                sludge treatment process  was generally  suc-
                cessful in  improving the  effluent  quality in
                bench-scale evaluations of wastes from Subca-
                tegories II, IV, V, VI, and VII, but was not ef-
                fective with  waste from  Subcategory I.  The
                treatment  effectiveness   in  Subcategory  I
                (Wool Scouring) was probably reduced by the
                higher oil and grease levels in the raw waste-
                water. Based on the favorable  results from the
                screening studies, a second level of onsite pilot-
                scale testing at selected plants from Subcate-
                gories  IV  and V has  been recommended.

                SUMMARY

                  Recent  studies have been  completed eval-
                uating carbon adsorption  technology  for ad-
                vanced waste  treatment of  textile  waste-
                waters. Granular carbon adsorption pilot tests
                were conducted with secondary effluents from
                                              57

-------
                     AIR  SUPPLY
                                      NEEDLE VALVE
                                                                AIR  DIFFUSER LINES
                                                                        ING BAFFLE
                                                                        OVERFLOW  DRAIN
        FEED  CONTAINER
                            PUMP
                           Figure 7. Experimental biological reactor.
19 representative textile wastewaters. Granu-
lar carbon adsorption pilot tests were  con-
ducted with secondary effluents from 19 repre-
sentative  textile  plants,  and   bench-scale
powdered  activated  carbon with  activated
sludge screening tests were conducted with
ten textile wastewaters. The following obser-
vations were developed from evaluating these
experimental studies.
The granular activated carbon pilot studies
demonstrated reasonable effectiveness for
reducing secondary effluent COD concen-
trations (63 to 84 percent) of textile plants
in Subcategories II, V, and VI, but only
marginal COD removal effectiveness (14 to
80 percent) was achieved in Subcategories
I, IV, and VII.
From the results of the granular activated
                                             58

-------
NT OF COD
PAC TREATMENT
% IMPROV
REDUCTION WI
                   100

                    90

                    80

                    70

                    60

                    50
       TEST  PLANT
       SUBCATEGORY
LOW CARBON DOSAGE
10
o
























1 23 457 14



15





16





17
1 II IV V VI VII
            o 
-------
     BIOLOGICAL TREATMENT OF TEXTILE  WASTE BY AERATION

                     T.  A. Alspaugh, John Hodges, Arthur Toompas*
Abstract

  Biological treatment systems  have shown
the adaptability  and  flexibility to  handle
almost any textile waste mixture. This blend-
ing of prehandling, treatment, waste character-
istics,  and effluent  results, necessary  with
space requirements  and operation costs, has
produced the numerous textile wastes treat-
ment systems found in the industry. These sys-
tems have been shown to handle shock loads
and vary wastes characteristics, while pro-
ducing good results at a reasonable  construc-
tion and operating cost.

INTRODUCTION

  The   words  "textile wastes" mean  the
wastewater from the manufacturing  and  proc-
essing  of textile fibers or fabrics containing
natural and/or  synthetic  fibers.  In  more
specific terms lint,  trash, grease, and other
residue from  fiber cleaning; wastes  from the
manufacturing or greige operations,  including
size material; the wastes from desizing, scour-
ing, bleaching, and mercerizing before dyeing
and finishing; all dye bath dumps, overflows,
and rinses; finish bath  dumps,  overflows, and
rinses;  machine and equipment spills,  cleanups,
and the like. The mixture will be warm  with
the temperature depending on the use of heat
exchangers. The chemical content will depend
upon the type fiber, fibers, or fabric processed.
  The  natural fibers usually  encountered in
the United States are wool and cotton. Waste-
water  from  wool preparation will  be  very
strong, high in grease, BOD, COD, total sus-
pended solids (TSS), heavy metals, and color,
but usually low in pH. The contaminant mate-
rial removed from wool by scouring is the ma-
jor problem.  Wool  finishing wastes will  be
much weaker in all aspects with a near neutral
pH. Cotton,  on the other hand, produces  a
wastewater  high in pH due to caustic use in
mercerizing  and/or  cleaning the fibers. The
BOD will be  moderate, the TSS usually on the
low side with trace heavy metals and with
varied color, but high COD coming from  the
processing chemicals. Synthetic fiber  process
wastewater  will be near neutral in pH, low in
TSS, moderate BOD and COD and, with a weak
color. The major problems are the materials
used to aid the dye in penetrating and staying
on the fibers.
  A total mixture then can have a low to high
pH depending on the processed fiber, will be
Colored, and can contain  grease, fibers, lint,
and trash from the fiber. The mixture will con-
tain processing  chemical residues, size,  pene-
trants, wetting agents, detergents, carriers,
dyes, finishes, etc., all mixed in the water used
in  processing to rinse or wash the fabric or
fiber, to dye  it, and to finish it. (Tables 1, 2, and
3)
       TABLE 1. RAW WASTES ANALYSIS •
              BLEND OR COTTON
pH
BOD,mg/l
COD, mg/l
TSS, mg/l
Color
Cr, mg/l
Zn, mg/l
TKN, mg/l
TP04, mg/l
10-12
600-1,000
1,000-2,000
70-100
Varied (dark)
0-0.50
0-1.0
10-20
10-15
 "Chemical Engineer,  Engineering Department,  Cone
  Mills Corporation, Greensboro, NC.
 METHODS OF BIOLOGICAL TREATMENT

   There are a number of treatment alternates
 available for the biological treatment of textile
 wastes. Based on work carried out within the
 industry, any  of these waste mixtures can be
 treated  satisfactorily either by aeration sys-
 tems or biological  filters  if the necessary
 prehandling is done. This prehandling involves
                                            61

-------
pH adjustment in some cases and the addition
of nutrients (nitrogen and/or phosphorus). In
others,  possible removal of lint,  grease,  or
trash, equalization if needed, and removal or
replacement of processing chemicals when tox-
ic to the biological treatment process.
  Except for oxidization ponds, most of the dif-
ferent aeration  type biological systems  for
treatment of textile wastes can be found listed
in the  Metcalf  &  Eddy, Inc.  book  entitled
Wastewater Engineering:   Collection, Treat-
ment, Disposal  under the  heading "The  Ac-
tivated Sludge Process." These include conven-
tional, complete-mix,  step-aeration, modified-
aeration,  contact  stabilization,  extended-
aeration, Kraus process, high-rate aeration,
and pure oxygen systems.
   TABLE 2. RAW WASTES ANALYSIS - SYNTHETIC
          TABLE 3. MIXED WOOL WASTE
PH
BOD, mg/l
COD, mg/l
TSS, mg/l
Color
Cr, mg/l
Zn, mg/l
TKN, mg/l
TP04, mg/l
6-9
200-400
400-800
40-80
Varied (lighter)
0-0.3
0-1.0
5-15
5-10
                  Scouring
Finishing
pH
BOD, mg/l
COD, mg/l
TSS, mg/l
Cr, mg/l
Zn, mg/l
P04, mg/l
TKN, mg/l, mg/l
Phenol
2-5
2,300
6,000
2,500
—
—
—
—
—
5-7
180
740
200
0.6
—
—
—
.04
  The information included in Table 4 indi-
cates the various systems that have been used
for textile waste treatment. (Figures 1 through
9)
  Aerobic biological treatment sounds simple
enough but has required extensive laboratory,
pilot work, and full-scale systems to convince
regulatory agencies that  it would  work, and
was  both feasible  and practical. This early
work developed  the minimum maintenance,
long aeration time period activated  sludge
type waste treatment system generally found
throughout the  textile industry today. This
system uses the aeration time period to buffer
the waste, blend it, absorb the shock loads, and
allow acclimation of biological organisms to the
           TABLE 4. OPERATING CHARACTERISTICS OF WASTE TREATMENT SYSTEMS FOR TEXTILES

Trickling filter


Bio-disc


Oxidization ponds

Conventional AS


Completely mixed AS

Step aeration
Contact stabilization


Extended aeration

Oxygen/activated sludge

Detention
period
10-20 mm


Depends on
tank size

5-50 days

6-8 h


2448 h

6-8 h
1-h contact
3-8 stab.

24-120 h

8-24 h

Flow
model
Pluj


Completely
mixed

Plug flow

Plug flow


Completely
mixed
Plug flow
Plug flow


Completely
mixed
Completely
mixed
Recycle
1/1 to 4/1


.3/1 to 1/1


0-1/1

.3/1 to 1/1


1/1 to 3/1

.3/1 to 1/1
.3/1 to 1/1


1/1 to 3/1

.3/1 to 1/1

Aeration
type
NA


NA


Wind currents
or mech. aerators
Diffused air,
mech. aerators

Diffused air.
mech. aerators
Diffused air
Diffused air.
mech. aerators

Diffused air.
mech. aerators
Mechanical
aerators
BOD removal
efficiency %
50-85


85-95


6085

80-90


85-99

70-85
80-90


75-95

85-95

Application
Susceptible to shock loads; used for weak
strength textile wastes, mixed domestic
sewage, and textile wastes
Useful for plant expansions, medium strength
textile wastes, in combination with activated
sludge for strong wastes
Weak strength textile wastes, susceptible to
shock loads
Susceptible to shock loads, weaker textile
wastes, and/or domestic wastes (not used
frequently)
General application, resistant to shock loads

General application (not used frequently)
Flexible; useful for plant expanstons,small
to medium plant, package plants (not used .
frequently)
Variable strength wastes, small and medium
sized plants
General application on all textile wastes, use
where land space is limited
 Source: Reference 1.
                                             62

-------
material. The method  and/or  methods used
depends on the type and strength of the waste,
land availability, power cost, labor cost, effi-
ciency required, etc. In general, the processes
used for textile wastes treatment have tended
to fall into the completely mixed or extended
aeration  category or a  hybrid  of these two,
with some scattered biological filter systems.
  Completely  mixed systems are most often
used for strong, highly colored wastes, usually
with detention aeration periods of from 24 to
48 hours. They tend to carry higher mixed liq-
uor suspended solids (MLSS) than the other
systems and usually require sludge disposal.
                      They most often use mechanical aeration but if
                      not too large and designed properly they can
                      use diffused air. Extended aeration systems on
                      the other hand can be either completely mixed
                      or plug flow, depending upon the type aeration
                      and raw waste distribution devices. Extended
                      aeration uses low organic loadings and  much
                      longer  aeration time periods; up to 5 days in
                      some cases to handle the  wastes. Since  the
                      space required to treat a large volume with
                      high or moderate  organic  concentrations by
                      this method is large, extended aeration is most
                      often used for  small to  medium  plants  or
                      weaker wastes unless land is available, (ref. 1)
    Influent
                       Aeration Sasin
                              Recycle Sludge
                                                           Clan'f ier
                                                                                      Effluent
                                                                             Waste Sludge
                          Figure 1. Conventional activated sludge system.
          Influent
  Aeration Basin
 o    o    b
Mechanical Aerators

 O    O    O
                                                                Clarifier
                                                                                  _-.  Effluent
                              Recycle Sludge
                                                                          _»- Waste Sludge
                      Figure 2. Completely mixed activated sludge system.
                                              63

-------
Influent.
                                                                 Clarifier
                             Aeration Tank
                            Recycle Sludge
                                                                                            Effluent
                                                                               *. Waste Sludge
                        Figure 3. Step aeration activated sludge system.
 Influent.
             Stabilization  Tank
                                                              Clarifier
      Contact
       Tank
                          Recycle Sludge
                                                                                          Effluent
                                                                            *- Waste Sludge
                             Figure 4. Contact stabilization system.
     Influent
   Aeration Basin
   o          o

Mechanical Aerators
   O          O
                                  Recycle  Sludge
                                                                         Clarifier
                                                                                             Effluent
                                                                                    -•-Waste Sludge
                      Figure 5. Extended aeration activated sludge system.
                                                64

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                            Bio Disc Units
    Irf ,
                              'erati-n  ark
                                                                riarifie--
                            DTD  DO
                            moo
                                                                                  -*• refluent
                                  Re--y~le Sludge
                                                                            _». Waste "ludie
                          Figure 9. Bio-disc activated sludge system.
   Oxidation  ponds  are  shallow lagoons  or
 basins, usually not over 6- to 7-ft deep and even
 as shallow as 4 ft, and use natural processes to
 treat the waste with or without the use of me-
 chanical means for mixing  or aeration. Solids
 will settle to the bottom of the lagoon or pond
 and if so, are decomposed  anaerobically. The
 suspended organic solids are decomposed by
 aerobic bacteria  that use surface  aeration.
 Algae can grow on the surface  of lagoons of
 this sort using the nitrogen and phosphorus in
 the incoming waste for nourishment. A system
 of this type  can  be a dual aerobic/anaerobic
 system; aerobic on top, anaerobic on  the bot-
 tom. This type of system has a limited use in
 particular situations for weak, easily oxidized
 wastes where land is available and the climate
 is warm. (ref. 2)
   The pure oxygen aeration system is becom-
 ing more popular as a means of treating highly
 concentrated  waste. The aeration basin,  in
 general, will be smaller, possibly covered, and
 contain oxygen mixed with the  waste. This
 process results in a more  rapid production of a
 biological floe, which reportedly has better set-
 tling characteristics, and is said to be more effi-
 cient  than  a  system using  air as its oxygen
 source. The molecular sieve is one device being
 used to generate  the pure oxygen onsite. As
 electric power costs increase, oxygen systems
are forecast to become more prominent.
  The trickling  filter is another  biological
 treatment system that has  found some use in
 certain situations. Trickling filters are normal-
ly beds of media 5- to 20-ft deep with  influent
spray distribution systems and underdrain sys-
tems  for effluent  collection. The sprays dis-
charge onto the bed of filter medium which con-
tains the bacteria or other biota. This slime ab-
sorbs and breaks down organic matter in the
wastewater. The concentration of the influent
waste is diluted by recirculating a portion of
the filter effluent back to the incoming waste.
A major difference between activated  sludge
and trickling filters is that the trickling filter
uses a series of biological communities at vari-
ous levels in the unit and each series has its
own type  of life  and  its   own degrees  of
removal.
  Strong waste, however, can cause sloughing
off of matter and  biomass  from the media.
Although recirculation is widely practiced and
forced  air used in  some cases, the trickling
filter normally lacks the inherent  buffering
capacity of activated sludge. Waste that is not
readily biodegradable will not be removed ef-
fectively by trickling filters due to the shorter
detention  period in contact with the  active
organisms.
  The rotating biological disc  is an effort to
overcome some of the disadvantages of the bio-
logical trickling filter. It is a series of closely
spaced perforated discs rotating partially sub-
merged in waste and the dripping, turning disc
aerates  and mixes  the waste and the  active
organisms. This process tends to overcome the
lack of long-term contact inherent with the con-
ventional  filter. In  some cases rotating discs
have been added to activated sludge plants as a
means  to increase treatment. Many textile
plants  that have  been  operating  for  some
period  of time can  become overloaded as pro-
duction increases. Rotating discs may be added
to upgrade  an existing  plant as an improve-
                                              66

-------
ment step and provide a large amount of sur-
face area in a small space for bacteria to attach
to and thus increase removal. Bio-discs usually
have to be covered as they are affected by air
temperatures and cold weather.
  Numerous  relationships have been  devel-
oped to explain the actions of the various aero-
bic  biological systems. For activated sludge
these relationships may include:

  • Waste strength vs. mixed liquor suspended
    solids concentration,
  • Waste strength vs. detention time,
  • pH  reduction as function of C02 produc-
    tion by aeration,
  • Color removal vs. mixed liquor suspended
    solids concentration,
  • Organic removal vs. mixed liquor  suspend-
    ed solids concentration,
  • Effluent  heavy metal  concentration  vs.
    sludge concentration,
  • Effluent  heavy metal  concentration  vs.
    sludge removal rate,
  • Efficiency of removal vs. aeration deten-
    tion time,
  • Efficiency of removal vs. cost of power,
    and
  • Removal rate as a function of recircula-
    tion.

And for biological filters and rotating discs,
they may include:

  • Removal rate as a function of recircula-
    tion,
  • Removal rate  as  a function of media
    volume or surface area,
  • Waste strength vs. detention time (Figure
    10),
  • Removal rates vs. disc speed, and
  • pH reduction vs. recirculation rate.

CONTROL PARAMETERS FOR PLANT
DESIGN & OPERATION (Figures 10 and 11)

Food-to-Mass Ratio
  The  waste loading or food-to-mass (F/M)
ratio is used to control the rate of biological ac-
tivity in an activated sludge system. The F/M
ratio is the amount of BOD applied per day
         a
         o
         a
         DC
                                      Detention Time, Days
                Figure 10. Effect of increased detention time on cost and removal.
                                             67

-------
   9 c
   ._ m
   l!
   Ul O
                                  Detention Time, Days

               Figure 11. Effect of increased detention time on treatment efficiency.
divided by the amount of volatile suspended
solids in the aeration basin. As a general rule,
high F/M  ratios tend to  give better settling
solids. However, if F/M  ratios  are  too  high,
some hard to break down BOD may not be
broken down and removal efficiencies may suf-
fer. If low F/M ratios are used, one may expect
better organic removal efficiencies, although a
poor  settling  sludge sometimes  occurs.  In
general, textile waste can  accept lower F/M
loadings than  municipal  waste  (0.05 to 0.15),
however, ideal levels should be set on a  case-
by-case basis.

Recycle Rate

  The recycle  rate is the  volume of liquid
returned  sludge  divided  by  the  incoming
volume of wastewater to  be treated. This rate
can be varied in order to prevent solids from
leaving the plant in the effluent. If the return
rate is too low then septic solids along with
solids  in the effluent sometimes can be ex-
pected. If the return rate  is too high, problems
with  hydraulic loadings and difficulties in
maintaining an adequate sludge blanket can oc-
cur. Textile wastes normally require return
rates of 100 to 300 percent while municipal
waste  treatment  plants  use  lower recycle
rates.

Solids Level

  The solids level refers to the concentration
of MLSS in the aeration system. At low levels
it is difficult to achieve high removals of some
organics and high pH or hard-to-treat wastes
often cause problems due to a limited buffering
capacity. At high solids levels increased color
and COD removal is often  found along with
some  problems in suspended  solids removal.
Again, the MLSS level can be higher when
treating textile waste than municipal waste,
levels  of 2,500 to 4,000 ppm are typical,  but
4,000 to 8,000 are not uncommon.

Sludge Volume Index

  The sludge volume index (SVI) utilizes infor-
mation on sludge volume  and dry basis solids
to give a useful operating parameter. The SVI
is the percent volume of  sludge  settled in 30
                                             68

-------
minutes divided by the percent of suspended
solids in the aeration basin. The sludge density
index is  100 divided by the  SVI. This para-
meter is  not too useful in very high MLSS.

Sludge Age

  Sludge age is the pounds of TSS in the aera-
tion  tank per day per  pounds of  suspended
solids added. Sludge age is intended to be an in-
dicator of the  activity  of  the sludge. When
sludge is too old it may be considered inactive
and may also concentrate undesirable products
such as heavy  metals and/or toxicants. Low
sludge age operation normally causes a more
rapid growth of solids which in  turn can re-
quire more disposal of solids. Again, very long
aeration  periods with low production rates of
solids can  tend automatically to  have high
sludge ages.

Detention Time

  Detention time in an aeration basin or filter
is the volume of the basin or filter divided by
the daily flow rate. This parameter is extreme-
ly difficult to increase once a plant has been
built, unless the designer  happened to sec-
tionalize the system and build in capacity. Most
textile wastes require longer detention times
than municipal  wastes. Aeration basins with 1
to 3 days detention are typical.

METHODS OF PROVIDING OXYGEN

  There exist two primary means of aeration
to provide oxygen. One  is mechanical aeration
which includes floating or  fixed surface aera-
tors, biological filters, and rotating discs, and
the other is diffused air. Mechanical aeration
throws the liquid waste up into the air, drips it,
or waterfalls it, producing more  surface area
and allowing more oxygen to be absorbed. Dif-
fused aeration, on the other hand, is inducing
compressed air into the waste through air dif-
fusers usually  at the bottom of  the  tank for
complete mixing and absorption.  There are
also some hybrid devices including mixers with
diffused air, and air ejectors or jets.
  Diffused aeration  is usually considered  the
more expensive method of the two, as the capi-
tal costs of installation are larger. It is also con-
sidered the  more efficient aeration method as
 most of the horsepower goes to maintain the
 dissolved oxygen level and less of it goes to
 strictly  mixing. It is most often used in deep
 basins  with vertical  walls, normally  longer
 than wide  due to the air pattern,  and  con-
 structed of concrete. Maintenance  costs for
 operation of diffusers in textile waste can be a
 real problem because they are so subject to
 plugging.
   Surface  aerators are of two types: slow
 speed and  high  speed and are usually more
 flexible and easier to maintain than diffused air
 because individual  units  can  be cut  off  or
 removed from the aeration basin without shut-
 ting down the system and causing a defficiency
 in dissolved oxygen. They  do, however, trans-
 fer somewhat less oxygen per horsepower and
 often use more horsepower for mixing than
 aeration. This is due, in the main, to the type of
 installations in  ponds  and lagoons.  Large
 shallow  ponds  and lagoons have a very large
 surface area when compared to vertical wall
 concrete basins. In  colder climates  aerators
 tend to cool the waste thus slowing down bio-
 logical activity; diffused air would do the  op-
 posite.
   Slow speed  fixed surface aerators require
 the construction of a bridge structure and use
 a speed reduction gear unit. They are less flexi-
 ble than floating units because the water or
 waste level  cannot be varied to any extent and
 the individual  units  are  stationary.  Mainte-
 nance and capital costs tend to  be high when
 compared to a high speed surface unit because
 of the cost of the speed reduction gear  unit and
 the support  platform. Slow speed units are said
 to have the advantage over high speed units
 when it comes  to floe breakdown. High speed
 units are said to shear the biological material
 and to produce a less easily settled floe.
  Floating surface aerators require  little in
the way  of structural supports  and produce a
very flexible aeration  system as they can be
moved around  and are not affected by  water
level changes. There are again two types: slow
speed and high speed. The slow speed unit is
just a fixed  surface aerator on  floats  and  has
most  of  the same advantages  and disadvan-
tages of the fixed unit. The high speed (direct
drive) floating surface aerator is the most flexi-
ble system of all. It is easy to maintain, but not
quite as efficient as either the slow speed  me-
chanical aerator or diffused air.  It is, however,
                                              69

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usually the least expensive aeration/pound of
air  delivered if all costs are taken into con-
sideration.
  Trickling filters are not used as often on tex-
tile wastes as the other methods but can work
well on some wastes.  The construction costs
will be high, but operation costs can be lower
unless a mechanical means is used to increase
air supply through the unit (fans). They are
also subject  to  weather, especially if above
ground in cold climates. Freezing problems can
also be encountered with the rotating element
during cold v/eather.
  Rotating discs or rotating  biological discs
are a combination of a biological filter and an
activated sludge system and are a successful
treatment device.  As the cost of power  in-
creases,  they will  become more competitive
and their initial cost will possibly overcome the
flexibility and ease of handling of the floating
high speed (direct drive) surface aerator.
SOLIDS SEPARATION

  In order to operate an activated sludge type
treatment system efficiently, an optimum bio-
logical population must be maintained in the
aeration system  by settling  the  solids and
returning them  to the aeration portion.  This
settling takes place in clarifiers. The settled
sludge is  collected by any one of a number of
drawoff systems and is picked up by the return
sludge pumps for recycling. As discussed pre-
viously, the return sludge rate can be a critical
factor in the successful operation of this sys-
tem on textile wastes.
  The biological floe from textile waste treat-
ment is often difficult to settle and light sludge
is one of the most common problems. This pro-
blem  can be partially controlled  by making
sure that the control parameters used and dis-
cussed previously are properly regulated; the
most  effective F/M ratio,  sludge age,  and
sludge concentration must be maintained. Nor-
mally if these conditions are met a fairly good
settling sludge will result. However, the floe
may still tend to be very small and extremely
light.  Sludge bulking can also be a problem.
Since the incoming wastes often are strong and
not always consistent, a change in the plant
process, if not controlled, can cause temporary
rises  and  falls of highly concentrated waste
flows  that may upset the system temporarily
killing off bacteria that  can cause bulking
sludge. The growth of filamentous bacteria or a
change in  water temperature both may also
cause  bulking or  floating  sludge.  Floating
sludge, caused by a change in temperature, is
often noted when the air temperature changes
rapidly for several days from high to low or low
to high in  relationship to the water tempera-
ture. Bulking from  filamentous sludge is more
noticeable  in  cold  weather  with rapid  with-
drawal clarifiers,  long  aeration  detention
times, and in waste  with high carbohydrate
fractions.
  To reduce the solids content in the clarifier
effluent resulting from the carryover of these
small fines or when bulking occurs, a weighting
agent can be used to aid the settling. A number
of organic  polymers can be used to coagulate
the fine floe and produce a larger, heavier one.
Inorganic coagulants such as alum and  ferric
chloride may also be used. If organic polymers
are added they will  be oxidized and neutralized
when returned to the aeration system, thus a
constant feed must be maintained. Inorganic
coagulants, on the other hand,  tend  to be
recycled. If the use  is large and sludge wasting
is low, they  will in time concentrate in the
system and can cause problems  themselves.
They may  reduce the biological activity and
result in poor treatment and/or bulking. Pow-
dered and granular activated carbon have also
been added to biological treatment plants to
aid the biological process and increase settling
by weighting the sludge.
  Sludge disposal is required  for solids that
are  no longer needed in the system; these
solids may contain refractories, nonbiodegrad-
able produced solids, and trace heavy metals.
Sludge wasting is determined by the desired
F/M ratio,  solids level, sludge age, and treat-
ment expected.
  Biological treatment sludge has a structure
that enables it to absorb color bodies, organic
materials, and trace heavy metals. This serves
to concentrate these materials and allows them
to be removed from the liquid phase in a form
that can be  concentrated for disposal. Con-
tinuous in-plant efforts can serve to remove or
replace many of these substances that will end
up in this  sludge. Chromium use for dye ox-
idization has been  successfully replaced at a
higher cost.  Zinc,  which is everywhere, in-
cluding the raw water, can be reduced by
replacement as a corrosion inhibitor, chemical
                                             70

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type changes, replacement by piping, etc.; but
many dyes are made with zinc. Other products
containing heavy metals that are determined
to be hazardous must be replaced or removed.
At this time, little long-term data on textile
wastes is available to determine levels to be
expected or required on other problem heavy
metals. The few  analyses made to date in tex-
tiles indicate that few, if any,  other heavy
metals will be a problem.
  Biological activity and thus sludge  produc-
tion will vary and can be related to F/M ratio.
Generally at high F/M ratios (0.15 to 0.20) pro-
ductivity of sludge is high and is reduced at
lower F/M ratios (less than 0.10). However, bet-
ter settling solids can usually be expected at
these higher loading rates, thereby reducing
effluent  suspended  solids and clarifier size.
Solids level and sludge  age  also affect treat-
ment expected, with higher MLSS levels  gen-
erally  giving better color and COD  removals,
however, high effluent suspended solids  may
be  expected at these high solids levels. Very
long aeration detention  times also can result
in poorly settling sludge. This  can often be
handled  with larger clarifiers and lower over-
flow rates. Nutrient removal, however, is en-
hanced by this long detention time.

OPERATION
  Experience treating various types of textile
waste  including  greige operations,  dyeing
waste  from all types of dyes on cottons, wools,
blends,  synthetics,  and  mixtures;  finishing
wastes, including  wash-and-wear  treatments,
mothproofing, resin  treatment, fire  retardant
treatment; printing wastes  including roller,
flatbed, and screen; will indicate that no two
wastes are exactly alike. General relationships
hold true and reasonable efficiencies can be ob-
tained without pilot  work, but when high  effi-
ciencies  are required  and   strict conditions
must be met, each waste must be considered to
have  individual  characteristics  requiring
evaluation. Due  to this  premise, off-the-shelf
treatments cannot be expected to produce ex-
tremely desirable results at the least cost with-
out some prior waste characterization and/or
pilot plant data. Common sense will indicate
that screening, lint removal, grease removal,
and the like will be required in  many cases.
Wool waste cannot  be  treated if the grease
from  scouring is  not removed prior to the
biological step. Lint from  cotton  operations
will clog diffusers, hang on mechanical  aera-
tors, and otherwise reduce efficiencies.
  In some situations, segregation of the wastes
will reduce the volume to treat. In others, the
piping changes are so expensive that it may be
more  economical to  handle  the volume or  re-
duce the amount  of segregation used. It has
been found that in many plants air can be used
to provide neutralization of  the alkaline waste
through the production of C02 from biological
activity and from C02 in the air. In other cases
with certain dye mixtures, acid neutralization
is required to produce  acceptable color  re-
moval.
  What we mean to say is that conditions must
be maintained as optimum as is cost-effective
to allow the biological matter to treat the many
colored, strong textile wastes. Time has been
used in place of chemicals, space,  or area in
place of concrete, and both in place  of labor to
produce the same or similar degree of treat-
ment.
  In selecting a treatment scheme, experience
is valuable  but the decision  should be  tem-
pered by actual data. This data will aid in pro-
viding a much more sound and reasonable deci-
sion.
  Consider the following four options as ex-
amples.

Medium strength waste   Pretreatment  (in-
                         direct discharge)
Medium strength waste   Direct discharge
Concentrated waste      Pretreatment (in-
                         direct discharge)
Concentrated waste       Direct discharge
   A reasonable evaluation  of the wastes and
sources of wastes will indicate that for most
textile operations primary  clarification is not
required, however, screening for lint and rag
removal is usually desirable and necessary.
   Pilot plant data will determine the method of
treatment that is expected to have the efficien-
cy to produce the required effluent at an accept-
able cost.
  For  pretreatment  of  a  medium strength
waste, an oxidation  pond, extended aeration,
bio-disc, or trickling filter should be given con-
sideration.  For direct discharge of  this waste
an oxygen system, extended aeration, or com-
pletely mixed activated sludge system should
                                              71

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be considered. In all activated sludge evalua-
tions  prior to  construction,  detention  time,
solids level, sludge age, and F/M ratio should
be varied and evaluated.
  Pretreatment of a strong waste would prob-
ably omit the trickling filters and  maybe the
bio-disc as separate systems (depending on the
waste's strength) and would consider oxidation
ponds  with mechanical  aeration and  recycle
and either extended  aeration or completely
mixed activated sludge. Depending on whether
solids removal is or is not provided will help ad-
just the detention time of pretreatment if ac-
tivated sludge is desired. Direct discharge of
strong wastes would normally limit the selec-
tion to include only an oxygen system, a com-
pletely mixed activated  sludge system and an
oxidation pond, or a bio-disc/activated sludge
system or some other combination of these.


CONCLUSION

  In summary,  the use of biological treatment
for textile wastes indicates that this process
can be adapted to almost any textile  wastes.
There are various parameters or relationships
that control this treatability, including F/M
ratio, nutrient balance, MLSS concentrations,
settleability of  the  sludge produced,  wastes
 strength and makeup, recycle rate, and sludge
 age. These things all have levels  that can be
 measured. The optimum blend then is deter-
 mined for the wastes and results required. Ex-
 ternal factors such as power cost, changing re-
 quirements, and the so-called toxic limits all
 now affect the engineering decisions and must
 be evaluated as another variable.
   Sludge removal aids  in the increased effi-
 ciency of treatment  by taking refractory or-
 ganics, trace heavy metals, some residual col-
 or, hard  to  degrade organics,  and degraded
 biomass   from  the  biological  system. This
 serves to enhance an active  biological popula-
 tion by removing concentrations to potentially
 undesirable  constituents  which in turn  in-
 creases   the  efficiency  of the  biological
 organisms.
   To date, biological treatment has been the
 most successful treatment method developed
 for textile wastes and it should  not be aban-
 doned.

 REFERENCES

 1.  Metcalf & Eddy, Inc., Wastewater Engi-
    neering, p. 503.
2.  Sacramento State College, Department of
    Civil  Engineering, Operation of Waste-
    water Treatment Plants, Chapter 9, p. 1.
                                            72

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         A FUNDAMENTAL APPROACH TO  APPLICATION OF
      REVERSE OSMOSIS  FOR WATER POLLUTION  CONTROL*

                           S. Sourirajan, Takeshi Matsuuraf
Abstract

  Reverse osmosis separation is the combined
result of preferential sorption of one of the con-
stituents of the feed solution at the membrane-
solution interface, and mass  transport by fluid
permeation under pressure through the capil-
laries in the microporous membrane. Preferen-
tial sorption at the interface is a  function of
solute-solvent-membrane material interactions
arising from polar (including ionic), steric, and
nonpolar characters of each  one of the compo-
nents involved in the reverse osmosis system-
Basic reverse osmosis transport equations, and
available  quantitative  data on  parameters
characterizing polar, steric, and nonpolar inter-
facial forces applicable to reverse osmosis sys-
tems involving dilute aqueous solutions, pref-
erential sorption  of water at the  membrane-
solution  interface,  and a  cellulose  acetate
(CA-398) or an aromatic polyamide-hydrazide
copolymer (PPPH-8273) membrane  material
are presented. By integrating the latter param-
eters into the basic transport equations, one
can predict the reverse osmosis performance of
a membrane for a large number of feed solution
systems involving inorganic and organic (ion-
ized, nonionized, or partially  ionized) solutes in
aqueous solutions from only  a single set of ex-
perimental data  for a reference sodium chlo-
ride-water feed solution.  This prediction tech-
nique is illustrated with respect to two spec-
ified membranes, one made of CA-398 material
and the other made of PPPH-8273 material.
The application of the above transport equa-
tions for predicting the performance  of com-
mercial reverse osmosis modules is also illus-
trated. Brief discussions on solute preferential
sorption at membrane-solution interfaces, tem-
perature effect, pH effect, membrane compac-
tion effect, fouling problems, and ultrafiltra-
tion are also included with particular reference
to application of reverse  osmosis for water pol-
lution control.
INTRODUCTION

  Reverse  osmosis  in industry is  a general
process for the  separation of substances  in
fluid (liquid or gaseous) solution by permeation
under  pressure through an appropriate syn-
thetic  membrane. Since  the original develop-
ment in 1960 of the now well known asymmet-
ric  porous  cellulose acetate  membranes for
water  desalination applications (ref. 1), many
synthetic membranes have been successfully
developed and tested for a variety of water pol-
lution control applications (ref. 2). The opera-
tional simplicity  and the obvious potential  of
reverse osmosis  for many separation applica-
tions have generated a fast growing worldwide
activity on the subject in recent years. In spite
of such activity,  reverse osmosis has not yet
gained a major entry into the industrial world
of water pollution control. This is not due  to
lack of sufficient interest in the application  of
reverse osmosis  for water pollution control;
but this is due to, at least,  an apparent lack of
such interest in a fundamental understanding
of reverse osmosis itself, and in the assiduous
development of an overall science of reverse
osmosis (based on such understanding) neces-
sary for its  effective utilization with respect to
any application, including water pollution con-
trol. Hence  the object of this paper is to call at-
tention to a fundamental approach to reverse
osmosis research and development, and the
science of reverse osmosis arising from that ap-
proach (ref. 3), and illustrate this approach by
some quantitative data predicted by the ap-
plication of  this  science. Such  predictive
capability is useful for the industrial develop-
ment of reverse osmosis for  water pollution
control applications.
  •Issued as N.R.C. No. 17022.
  ' National Research Council of Canada, Division of Chem-
   i>.trv. Ottawa. Canada.
                                             73

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THE APPROACH AND THE SCIENCE

  The fundamental approach referred to above
is  the  preferential  sorption-capillary flow
mechanism for reverse osmosis, which led to
the development of the original porous cellu-
lose acetate reverse osmosis membranes (ref.
1).  According  to this mechanism, which  is
discussed in  detail in the  literature  (refs.
1,3,4,5), reverse osmosis separation is the com-
bined result of preferential sorption of one of
the  constituents of  the feed solution  at the
membrane-solution  interface, and mass trans-
port  by  fluid  permeation  under pressure
through the  capillaries  of the microporous
membrane. An appropriate chemical nature of
the  membrane  surface on the feed solution
side, and the existence of pores of appropriate
size and number on the area of the membrane
at the interface on that side together  consti-
tute the indispensable twin  requirement for
the practical success of this separation process.
Thus for reverse osmosis separation to take
place, one of the constituents of the feed solu-
tion must be preferentially sorbed at the mem-
brane-solution  interface; further, to be indus-
trially useful, the reverse osmosis membrane
must have a microporous and heterogeneous
surface layer at all levels of solute separation,
its  entire porous structure must be asymmet-
ric, and there should be no chemical reaction
between the constituents  of the feed solution
and the material of  the  membrane surface.
With an appropriate material  for the mem-
brane surface, practically any degree of solute
separation  is  possible in reverse osmosis  by
simply changing the average pore size  on the
membrane  surface  and the operating  condi-
tions of the experiment. Aside from such proc-
ess requirements, reverse osmosis is  funda-
mentally not limited to any particular solvent,
solute,  membrane  material, level  of  solute
separation or that of solvent flux, or operating
conditions of  the experiment.  Consequently,
the overall science of reverse osmosis arising
from the above approach unfolds itself through
proper integration of the physicochemical fac-
tors governing preferential sorption of solvent
or solute at membrane-solution interfaces, ma-
terials science of reverse osmosis membranes,
and the engineering science of reverse osmosis
transport, system analysis, and process design.
While there is still a long way to go towards
the full development of the science of reverse
osmosis in all its aspects, significant progress
has already been made, all of which is practical-
ly useful, which should be evident from the fol-
lowing discussion.

PREFERENTIAL SORPTION AT
INTERFACES

   Preferential  sorption  at  the  membrane-
solution  interface  is  a  function  of  solute-
solvent-membrane material  (i.e., material  of
the membrane surface) interactions. These in-
teractions arise in general from polar  (hydro-
gen  bonding), steric,  nonpolar (hydrophobic),
and/or ionic character of each one of the above
components. The  overall result of these inter-
actions determines whether solvent or solute
(or neither) is preferentially sorbed  at the
membrane-solution  interface.  Application  of
reverse osmosis to water pollution control may
involve preferential sorption of water or solute
at the membrane-solution interface depending
on the chemical nature of solute and  that of
membrane material. When water is preferen-
tially  sorbed,  reverse  osmosis  results  in
positive solute separation (i.e., solute concen-
tration in the membrane permeated solution is
less than that in the feed solution); when solute
is preferentially sorbed, solute separation  in
reverse osmosis can be positive,  negative, or
zero, depending on the relative mobility of the
solute species (compared to water) through the
membrane pores  under the conditions of the
experiment. Both cases are illustrated in the
literature  (ref. 6).

MEMBRANE MATERIALS AND
MEMBRANES

  Though  many membrane  materials  and
membranes have  been successfully tested for
reverse osmosis applications (ref. 2), cellulose
acetate (acetyl content  -39.8 percent, desig-
nated here as CA-398) membranes are  still by
far the most widely used ones in current indus-
trial practice; these membranes are also the
ones for which extensive scientific data have
been generated. For this reason this paper is
concerned mainly with such cellulose acetate
membranes. Du Pont reverse osmosis modules
are also widely used in industry; the mem-
branes in  these modules are  made of  an aro-
                                            74

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matic polyamide-hydrazide copolymer material
(ref. 7), which is not commercially available for
outside independent  researchers. However, a
chemically similar polymer (designated here as
PPPH-8273) synthesized in the laboratory, has
been studied as reverse  osmosis membrane
material, and a limited amount  of scientific
data has been generated for membranes made
from the latter material (ref. 8) (which, for prac-
tical purposes, may be considered to be  analo-
gous to the Du  Pont  material); this paper also
includes the latter data, and  illustrates their
utility.
  The polymer materials  CA-398 and PPPH-
8273  have been chemically  characterized  in
terms  of their ap (polar), an (nonpolar),  and 0
(affinity for nonionized  polar organic solutes
relative to that for an ionized inorganic solute)
parameters  generated  from liquid-solid chro-
matography (LSC) data (refs. 9,10). The rel-
evance of such  characterization to reverse os-
mosis stems from the principle that the solute-
solvent-polymer material interactions govern-
ing the relative retention times of solutes in
LSC are analogous to the interactions prevail-
ing at the membrane-solution interface  under
reverse  osmosis conditions.  On  arbitrarily
defined relative scales (refs. 9,10), the values of
ap, an, and  0  are   -1.00, -0.017, and 1.37
respectively for CA-398, and  -0.31, 0.144, and
0.17 respectively for PPPH-8273 polymers. A
higher value of  ap indicates stronger hydrogen
bonding  capacity  of polymer material and
hence its higher sorption capacity for water. A
higher value of an  for the polymer material
results in greater mobility of the preferentially
sorbed water through  the membrane  pores
when water is preferentially sorbed, and lower
mobility of the  solute through the membrane
pores when solute is preferentially sorbed at
the membrane-solution interface; both these ef-
fects contribute to higher  solute separation in
reverse osmosis. A higher value of /3 denotes
stronger affinity of the polymer for nonionized
polar organic solutes (and  consequently lesser
preferential sorption of water at  the  mem-
brane-solution  interface)  relative to  ionized
solutes. Thus the numerical values of ap, an,
and /3 direct attention to the inherent potential
of polymer materials with  relatively higher ap
and «„ values together with relatively lower /?
values (such as the  case  for PPPH-8273) for
possible  use in making  high flux reverse
osmosis membranes especially for applications
requiring high  separations  of  both ionized
solutes and nonionized polar organic solutes in
wastewaters.
  Futher, with a given membrane material, an
infinite  number of membranes  can  be  made
with different porous structures and hence dif-
ferent reverse osmosis properties. The specific
details of film casting techniques used in mak-
ing the  membranes decide the overall porous
structure of the resulting membranes. For ex-
ample, the aromatic polyamide membranes are
usually  cast at  high temperatures  (90°  to
130° C)  whereas the cellulose acetate  mem-
branes are usually cast at relatively low tem-
peratures (0° to 30° C). The  supermolecular
polymer aggregates in a given casting solution
are generally smaller in  size at higher tem-
peratures,  which  results ultimately in cor-
respondingly smaller size pores on the  mem-
brane surface in the as-cast condition (ref.  11).
Consequently, the use of higher temperatures
for casting solution and/or casting atmosphere
offers one  of the several means of creating
smaller  average size of pores on the surface of
resulting membranes. For some water  pollu-
tion control applications, the practical possibil-
ity of using the above means of pore size gener-
ation  on the membrane surface may be  the
deciding factor  for  the choice of membrane
material, and the film casting conditions  for
making  the required membranes.

PHYSICOCHEMICAL PARAMETERS
CHARACTERIZING SOLUTES IN THE
VICINITY OF INTERFACES

  For reverse osmosis  systems  involving di-
lute aqueous  feed  solutions,  three  physico-
chemical parameters have been developed for
characterizing ions and  nonionized solutes in
the vicinity of different  membrane-solution in-
terfaces. These parameters are:  polar free
energy parameter -AAG/RT, steric parameter
5*-Es, and nonpolar parameter w*:Cs*. These
parameters  may  be  described briefly as  fol-
lows.

Polar Free Energy Parameter -AAG/RT

  When water is preferentially sorbed at  the
membrane-solution interface, AAG/RT gives a
quantitative measure of solute repulsion  at the
                                            75

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interface on a relative scale. This parameter
was initially developed for inorganic ions, and
later extended to nonionized polar organic sol-
utes, organic ions, and inorganic ion pairs (refs.
8,12,13,14,15,16). The basis for this parameter
arises from (1) Born equation for ion-solvent in-
teraction (free energy of hydration, AG) as ap-
plied to the bulk feed solution phase and the
membrane-solution interface, (2) the thermody-
namic  basis of Hammett and Taft equations
representing the effect of structure on reaction
rates and equilibria (ref. 17), (3) the relationship
between the parameters of Taft eq. (16) in ref-
erence 17 and reverse osmosis data on solute
transport parameter DAM/^ (defined by eq. (8)
later in this discussion) for different solutes
and membranes (refs. 18,19,20), and (4) the func-
tional similarity of the thermodynamic quanti-
ty AAF* representing the transition state free
energy change (ref. 17) and the quantity AAG
defined as
             AAG = AGi-AGB,
(1)
 which represents the energy needed to bring
 an ion, or the nonionized solute molecule, from
 the bulk solution  phase  (subscript  B) to the
 membrane-solution interface (subscript I). The
 quantity  -AAG/RT, which  is an  interfacial
 property, is a function of the chemical nature of
 the solute, the solvent, and the membrane ma-
 terial, and it is  independent of the porous
 structure of the membrane used. A lower value
 of -AAG/RT for the solute yields a lower value
 for DAM/KS for the solute, and hence higher
 solute separation in reverse osmosis.
  The values of AAG, and hence -AAG/RT, for
 different ions and nonionized polar organic sol-
 ute molecules can  be  computed from data  on
 AGs (which arises from the physical chemistry
 of the bulk solution phase) and AGj calculated
 from  experimental reverse  osmosis data  on
 DAM/KS for different solutes  (refs. 8,12,13,14,
 15,16). Table 1 gives the available data  on
 -AAG/RT for several  inorganic  and organic
 ions, and inorganic ion-pairs for interfaces  in-
 volving aqueous  solutions  and  CA-398  or
 PPPH-8273 polymer membrane material. The
 value  of -AAG/RT  for a completely ionized  in-
organic salt is simply the sum of the -AAG/RT
values for the ions  involved. For example,
               AAGJ
          AAGJ      =  <  AAG)
           RT (NaC1 "  1   RT |Nm+

                         i   AAG(
                      +  {-^RT~f
                         I   RT )cr

                        j_AAG/
                     =  r  RT )Mg-
                    Mg(N03)2
                                  2-
                                      AAG/
         For nonionized polar organic solutes, the val-
         ues of AGB and  AGi are simply the additive
         functions of the contributions <7B and j^ respec-
         tively) of the structural groups in the molecule,
         so they can be expressed as:
     = ETB (structural group ) + yEO and   (2)

AGi =  2-yj (structural group) + >j 0.        (3)
         For  example,  for s-butyl  alcohol  whose
         molecular formula is CH3CH2CH(OH)CH3
j AAGJ =
                       RT
                                         Ti(CH2)
         for cyclohexanol whose molecular structure is

                         CH2- CH2
           AAG
           ~RT~
                  +  7i(OH) + 7X (cyclic,
                  6-membered) + 7i,o(-
                  +  7B(CH) + 7B(OH)  +7B (cyclic,
                  6-membered) + 7BO|i ;
                                            76

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TABLE 1. DATA ON FREE ENERGY PARAMETER (-AAG/RT) FOR SOME IONS AND ION-PAIRS AT 25° C,
        APPLICABLE FOR INTERFACES INVOLVING DILUTE AQUEOUS SOLUTIONS AND
                     CA-398 OR PPPH-8273 POLYMER MEMBRANE MATERIAL
(-AAG/RT) (-AAG/RT)
Species 	 SDCCJC:
PPPH- PPPH-
CA-398 8273 CA-398 8273
Inorganic cations Inorganic anions (con.)
H+ 6.34 I" -3.98 1.33
Li+ 5.77 -1.20 103~ -5.69
Na* 5.79 -1.35 H2P04" -6.16
K+ 5.91 -1.28 Br03" -4.89
Rb+ 5.86 -1.27 N02" -3.85
Cs+ 5.72 -1.23 N03" -3.66 2.54
NH4+ 5.97 ClOg- -4.10
Mg2+ 8.72 -2.41 CI04" -3.60
Ca2"1" 8.88 HC03" -5.32
Sr2"1" 8.76 HS04" -6.21
Ba2+ 8.50 S042~ -13.20 2.18
Mn2+ 8.58 S2°32~ -14-03
Co2+ 8.76 S032~ -13.12
Ni2+ 8.47 Cr042" -13.69
Cu2"1" 8.41 Cr2072~ -11.16
Zn2"1" 8.76 C032" -13.22
Cd2+ 8.71 Fe(CN)g3~ -20.87
Pb2+ 8.40 Fe(CN)g4" -26.83
Fe2+ 9.33
fe 9.82 Inorganic ion-pairs
Al3* 10.41 MgS04 3.45
Ce3* 10.62 CoS04 3.41
Cr3+ 11.28 ZnS04 2.46
La3+ 12.89 MnS04 2.48
Th4"1" 12.42 CuS04 2.85
CdS04 3.04
Inorganic anions NiS04 2.18
OH" -6.18 KFe(CN)62~ -2.53
r -4.91 1.03 KFe(CN)63- -17.18
OP -4.42 1.35
Br~ -4.25 1.35
* Applicable data on dissociation equilibrium constant are given below:
Dissociation
Solute equilibrium constant (ref. 21) Solute
MgS04 4.36 x 10~3 CuS04
CoS04 3.38 x 10r3 CdS04
ZnSO, 4.89 x 10"3 NiS04
4 . *
MnS04 5.20 x 10"15 K3Fe(CN)g
K4Fe(CN)g

Species -

Organic ions
HCOQ-
H Phthalate"
c2o42-
t-C4HgCOO"
i-c3H7coo~
cyclo-CgH^COQ-
n-C4H9COO~
n-C3H7COO~
C2H5COO~
CH3COO"
CgH5(CH3)2COO""
C6H5(CH2)2COO-
C6H5(CH2)COQ-
CgHgCOQ-
p-CH3OC6H4COO"
m-CH3CgH4COO"
m-OHCgH4COO~
p-CIC6H4COO"
m-N02C6H4COQ-
p-N02CgH4COO~
o-CIC6H4COO"
o-N02CgH4COO""
HOOCCOO"
HOOCCH2COO~"
HOOC(CH2)2COO~
CHjCHOHCOQ-
HOOCCH(OH)CH2COO"
HOOCCH(OH)CH(OH)COQ-
HOOCCH2C(OH)(COOH)CH2COO-



Dissociation
equilibrium constant
2.62 x 10~4
4.89 x 10~3
3.98 x 10~3
3.98 x 10"2
5.01 x 10"~3
(-AAG/RT)
PPPH-
CA-398 8273

-4.78
-4.63
-14.06
-6.90
-6.11
-6.24
-6.11
-6.06
-6.14
-5.95 1.33
-5.93
-5.86
-5.69
-5.66
-5.74
-5.67
-5.64
-5.63
-5.92
-5.93
-6.41
-6.61
-6.60
-6.46
-5.65
-6.30
-5.97
-6.40
-6.24










                                      77

-------
for D-glucose whose molecular structure is

                CH2OH

                        01     OH
           + 57j (OH)
           + 7 j (cyclic, 6-membered)
                (cyclic, 6-membered)
and for sucrose whose molecular structure is
             O   H    CH2OH
        r   i
HO    %C	C
       H
I/A      \l    l>°\l
C              V1    r1^           ^*r"
• -    r>«   H   /V    V\  H     OH r
           l/L^\i_i/(
           L
OH      H
                               8Tl(CH)
            + 7j (C) + 7j (cyclic, 6-membered)
            + 7j(cyclic, 5-membered)
              7B (cyclic, 6-membered)
              TB (cyclic, 5-membered)
The available values of TB and TI for different
structural groups and the applicable constants
7B>0 and 7j „ for interfaces involving aqueous
                                                solutions and CA-398 or PPPH-8273 polymer
                                                membrane material are listed in Table 2.

                                                TABLE 2. STRUCTURAL GROUP CONTRIBUTIONS FOR
                                                AGB AND AGj AT25° C, APPLICABLE FOR INTERFACES
                                                  INVOLVING DILUTE AQUEOUS SOLUTIONS AND
                                                CA-398 OR PPPH-8273 POLYMER MEMBRANE MATERIAL

                                                       7B Q=-12.04; 7| 0=~41.21 for CA-398,
                                                            and 44.01 for PPPH-8273
Structural
group
-CH
>CH
>CH
>C<
Cyclic (5-membereu)
Cyclic (6-membered)
-OH
>0
-CN
>C=0
-CHO
-COOH
-N02
- CONH2
~ ceHs
-coo-
r»
11.07
0.17
-10.62
-21.50
20.60
20.49
3.99
-4.03
5.19
-5.80
5.80
2.49
6.56
-0.21
8.41
-5.14

CA-398
24.23
0.24
-23.65
-47.39
46.99
47.12
17.04
-4.59
17.17
-6.32
18.84
15.13
18.95
12.75
21.43
-6.32
*l
PPPH-8273
- 17.74
0.32
18.41
36.26
-
-37.37
-25.21
-4.21
-
-6.11
-23.36
—
-
-
-20.09
-5.49
                                               Steric Parameter   £*EES

                                                 The electrostatic repulsion of ions in aque-
                                               ous solution in the  vicinity of membrane mate-
                                               rials of low dielectric constant (ref. 22) is much
                                               larger in magnitude than repulsions or attrac-
                                               tions resulting from interfacial forces due to
                                               steric and  nonpolar (hydrophobic) effects;
                                               hence the latter two effects are significant only
                                               for reverse osmosis systems involving nonion-
                                               ized  solutes. Steric hindrance to reactivity of
                                               molecules arises from repulsions between non-
                                               bonded atoms, and also from interference of
                                               groups or atoms with each other's  motions:
                                               consequently  steric hindrance  (which also
                                               parallels the effective size of the molecules con-
                                               cerned) is always a repulsive force at the inter-
                                               face. The parameter 5*DES represents the total
                                               steric effect affecting solute transport through
                                               the porous membrane in reverse osmosis (ref.
                                               19); steric hindrance to such solute transport
                                               results in a negative value for the parameter
                                               6*rEs,  which  contributes to higher  solute
                                           78

-------
separation in reverse osmosis. Unlike the polar
free energy parameter (-AAG/RT), the steric
parameter 6*1!ES is  a function not only of the
chemical nature of the solute, the solvent and
the membrane material, but it is also a function
of the porous structure of the membrane sur-
face.
  With respect to solute molecules involving
monofunctional groups, the value of the steric
constant EES for the substituent group in the
polar organic molecule can be computed as the
summation of the steric substituent constants
for the structural units involved from the data
on Es given by Taft (listed  in Table  3) (refs.
17,19). For example, 2ES  for the substituent
group in t-butyl  alcohol = Es for t-C^g; that
for cyclohexanpl  = Es for cyclo-CeHn; that for
t-butyl isopropyl ether =  Es for  t-C^g  + Es
for i-CaH?; and  that  for  diisopropyl ketone
 = 2 x Es for i-CaH?, etc. It must  be noted that
the value of EES for the substituent group in
the solute molecule depends  only on the chem-
ical nature of the group, and represents the
property of the  solute in the bulk solution
phase. The steric coefficient 8* associated with
EES, however, depends on the chemical nature
of the functional group in the solute molecule,
as well as the  chemical nature and  porous
structure of the membrane surface. The avail-
able  values  of  6*  for  alcohol-, aldehyde-,
ketone-,  and  ether solutes  (refs. 8,13) for
CA-398  and PPPH-8273 membrane materials
are given in Figure 1 as a function of average
pore  size on the membrane surface as repre-
sented by the quantity ln(CNaci/A). Using the
values of Es given by Taft (ref. 17) and suitable
interpolation techniques, additional such data
have been generated for practical use in re-
verse osmosis (refs.  19,23); some of these data
are also included in Table 3.
   For solute  molecules  involving polyfunc-
tional groups  (for example,  glucose, sucrose,
etc.), there  is  no simple way by which the
values of EES can be computed from data given
              TABLE 3. TAFT'SSTERIC SUBSTITUENT CONSTANTS, Es at 25° C APPLICABLE FOR
      AQUEOUS SOLUTIONS AND SOLUTE MOLECULES INVOLVING MONOFUNCTIONAL GROUPS (refs. 17,19)
Substituent
group
Aliphatic compounds
CH3
C2H5
Cyclo-C4H7
n-C3H7
n-C4H9
n-CgH,,
i-CsHn
n-C8H17
t-C4HgCH2CH2
C6H5CH2
C6H5CH2CH2
C6H5CH2CH2CH2
i-C3H7
Cyclo-C5Hg
cyclo-CgH^
i-C4Hg
cyclo-C6HnCH2

-------
              CA-398 MEMBRANES
                               PPPH-8273 MEMBRANES
   3.0r
   2.0
    1.0
          1.0
2.0
                              ETHERS a
                              NITRO
                              COMPOUNDS
                              ESTERS
                              KETONES
                              I  (A)    I
                                                          KETONES
                                                          ETHERS

                                                          ALDEHYDES
3.0
4.0
1.0
2.0
3.0
4.0
5.0
   Figure 1.  Correlation of 6 * versus ln(CNaC,/A) for CA-398 and PPPH-8273 membranes at 25° C.
            Line A in Figure is applicable to alcohol-, aldehyde-, amide-, and undissociated carbox-
            ylic acid solutes.
 in Table  3. For  such  solutes,  an empirical
 method has been established (ref. 13) for esti-
 mating the value  of the parameter 5*£ES on
 the basis that  the latter reaches a limiting
 value,  designated as  (S*EEs)iiin,  when the
 average pore size on the membrane surface be-
 comes sufficiently small. For a given mem-
 brane material, this quantity (6*£Es)ijm is simp-
 ly an  additive function of the contribution  of
 each  of the structural  units involved in the
 solute molecule, so that
              20(structural unit) + 0.    (4)
Table 4 lists the available data (refs. 13,24) on <£
and 0 applicable for aqueous solutions involv-
ing polyfunctional solutes and  CA-398 mem-
brane material.  For illustration, from  the
molecular structures of D-glucose and sucrose
given above,

      (6*EEs)um for D-glucose
      = (MCH2) + 5
-------
TABLE 4. STRUCTURAL GROUP CONTRIBUTIONS FOR
  (5*2Es),jm FOR SOLUTE MOLECULES WITH POLY-
  FUNCTIONAL GROUPS AT 25° C, APPLICABLE FOR
INTERFACES INVOLVING  DILUTE AQUEOUS SOLUTIONS
   AND CA-398 POLYMER MEMBRANE MATERIAL

             (t>Q= -4.83 for CA-398

     Structural unit                        0
Es*(CH = CHCH2CH2CH2)

     = 2s*(-CH = ) + 3(>CH2)
-CH3
XH2
>CH
4
Cyclic (5-membered
Cyclic (6-membered
Cyclic (5-membered
Cyclic (6-membered
-OH
>0
>C=0
-CHO




and single ring)
and single ring)
and two rings)
and two rings)




2.90
-0.02
-3.19
-6.88
5.22
4.70
5.99
5.47
2.01
0.63
-1.15
2.14
 hydrocarbon. The Small's number versus loga-
 rithm of solubility is a straight line which is dif-
 ferent for different reactive series  of com-
 pounds of similar chemical nature including
 paraffins, cycloparaffins, olefins, cycloolefins,
 diolefins,  acetylenes, and  aromatics.  By ad-
 justing the data on Small's number for various
 structural groups such that the  correlation of
 Small's number for the paraffin hydrocarbon
 (taken as reference) versus logarithm of its
 molar solubility in water is valid for hydrocar-
 bons in all the above reactive series, a modified
 number  for  the  molar  attraction constant,
 called the "modified Small's number"  repre-
 sented by s*, has been generated for different
 structural groups (ref. 26) as given in Table 5.
 The  modified  Small's   number Es*   for  a
 hydrocarbon  molecule,  or the substituent
 group in a polar organic  molecule,  is obtained
 from its chemical structure using the additive
 property of s* for different structural groups.
 For example,
                             CH - CH2)
      = 6s*( - CH = )
      + s*(>CH2)  + s*(conjugation)
Es* for the substituent group in CH3OH
     = s*(CH3)
Es* for the substituent group in
    CH3(CH2)2CH(CH3)CH2OH
     = 2s*(CH3) +  3s*(>CH2) + s*(>CH)
Es* for the substituent group
    in (CH3)3COH
     = 3s*(CH3) +  s*(>C<)
Es* for the substituent group
            s*(C6H5)  + s*(H)
 £s*(C6H4(CH3)2)
     = s*(C6H4) + 2s*(CH3)
     = 5s*(>CH2) + s*(>CH)

etc. The scale of Es* is consistent within each
of the groups of aromatic, cyclic, and noncyclic
hydrocarbon  structure.  Just as EES,  Es*
represents the property  of the solute in the
bulk solution phase.
   The coefficient w* associated with Es* in the
nonpolar parameter is a function of the chem-
ical nature of the interface and independent of
the porous structure of the membrane surface.
For interfaces involving aqueous solutions, d
to Cg monohydric alcohol-solutes and CA-398 or
PPPH-8273 polymer membrane material, the
available values of w* obtained experimentally
(ref. 27) are listed in Table 6.
   Referring to Table 6, the value of w*  is a
function of both the number of carbon atoms
and degree of branching in the molecular struc-
ture of the alcohol-solute. The quantity  As*,
defined as

      As*(alcohol)  = Es*(alcohol) - Es*
   (straight chain primary alcohol with the
       same number of carbon atoms)     (5)

serves as a quantitative measure of the latter
variable. As the degree of branching increases,
the value of As* becomes more negative. An in-
crease in the value of «* denotes greater  non-
polar attraction of the solute towards the mem-
brane surface, whereas a decrease  in w* de-
notes lesser such attraction.  This  is under-
                                             81

-------
                                  CA-398 MEMBRANES
                      LOr—
                      0.9
        (8*SEs)lim
                     0.7
                      0.6
                              1.0
2.0
3.0
4.0
    Figure 2. Correlation of 8*2Es/(5*2Es)|jm versus ln(CNaC!/A) for CA-398 and PPPH-8273
                                  membranes at 25° C.
standable on the basis of the solubility of
alcohol in water, which increases with increase
in the degree of branching in the molecular
structure of the alcohol. An increase in solubili-
ty in water means greater solute-solvent at-
traction, which tends to decrease the solute-
   polymer attraction, and this is expressed by a
   decrease in o>*. Thus the data given in Table 6
   show that while an increase in carbon number
   tends to increase the value of «*, the opposite
   effect is the case as the As* value becomes
   more negative. When these  opposing values
  TABLE 5. MODIFIED SMALL'S NUMBER s* (IN cal^cc^g-mokf1) FOR SOME ORGANIC STRUCTURAL GROUPS AT
                   25° C APPLICABLE FOR DILUTE AQUEOUS SOLUTIONS (ref. 26)
Structural
group
-CH3,
>CH2 angle
>CH J bonded
>C<
H


$»
214
133
28
-93
90

Structural
group
CH2 =
-CH= I double
>C = ) bonded
CH=C-
-CSC-
Phenyl

s*
140
61
-31
-15
-78
335
Structural
group
Phenylene (o,m,p)
Ring (5-membered)
Ring (6-membered)
Conjugation
W~
=C=

s»
258
0
0
25
181
-31
                                         82

-------
     TABLE 6. DATA ON co* (IN THE NONPOLAR PARAMETER co*Zs*) AT 25° C APPLICABLE FOR INTERFACES
            INVOLVING Ci-CgMONOHYDRIC ALCOHOL-SOLUTES, DILUTE AQUEOUS SOLUTIONS
                      AND CA-398 OR PPPH-8273 POLYMER MEMBRANE MATERIAL
                                 CA-398
As*(alcohol)
                                   co*x
103
NOTES:
co* in cal~"cc ^g-mole.
nc = number of carbon atoms in the alcohol molecule.
                                                                         PPPH-8273
       As* (alcohol) = Zs*(alcohol) - Ss* (straight chain primary alcohol with the same nc). For example,

                             As*(CH3CHOHCH3) = 2s* (CH3CHOHCH3) - 2s*(CH3CH2CH2OH)
                                            = 456-480 =-24
                                                                                   CO* X
103
0
-24
-48
0
-24
64r72
88
1to3
3 to 5
6 and 7
4to8
6 to 9
4to7
6 and 7
0
0
0
2.1
1.2
-1.0
-2.2
1to4
3 and 4
Band?
5 to 9
5to7
7
Band 7
0
0
-0.84
0.55
-0.28
-1.35
-1.35
cancel each other w* becomes zero. An explana-
tion for the negative values for co* is in order;
this is simply a matter of scale which arbitrari-
ly sets «* = 0 for solute molecules containing
no more  than  three  straight  chain  carbon
atoms not  associated  with a polar functional
group.

TRANSPORT EQUATIONS FOR REVERSE
OSMOSIS SYSTEMS INVOLVING
AQUEOUS SOLUTIONS AND
PREFERENTIAL SORPTION OF WATER
AT THE MEMBRANE-SOLUTION
INTERFACE

Basic Equations

  At any  given operating temperature  and
pressure,  the experimental  reverse  osmosis
data on pure water permeation rate  (PWP),
product rate (PR), and fraction solute  separa-
tion / at any point (position  or  time) in the
reverse osmosis system can be analyzed on the
basis that PWP is directly proportional to the
operating pressure, the solvent  water trans-
port  (NB)  through  the membrane  is propor-
tional to the effective pressure, the solute
transport (NA) through the membrane is due to
pore  diffusion  through the membrane capil-
                                         laries and hence proportional to the concentra-
                                         tion difference across the membrane, and the
                                         mass  transfer  coefficient  k on the  high
                                         pressure side of the membrane is given by the
                                         "film" theory on mass transport. This analysis,
                                         which is applicable to all membrane materials
                                         and membranes at all levels of solute separa-
                                         tion, gives rise to the following basic reverse
                                         osmosis transport equations (ref.  1):
                                        A = (PWP)/Mx  X S  X 3600 X  P

                                        NB =
                                                              I (C2XA2~ C3XA3)
                                                               'XA2 ~ XA3l
                                               kCl(l-XA3)ln
-------
DAM/K<5 is treated as a single quantity for pur-
poses of analysis (ref. 1).
  It must be emphasized that neither any one
equation in the set of equations (6) to (9), nor
any part of this set of equations, is adequate
representation of reverse osmosis transport;
the  latter is governed simultaneously by the
entire set of equations (6) to (9).

Correlations of A, DAM/K§, and k

  The correlations of these  quantities with
operating pressure, temperature, feed concen-
tration, feed flow rate, nature of solute and
membrane compaction during continuous op-
eration are of  practical interest from the point
of view of specifying membranes and predict-
ing membrane performance under different ex-
perimental  conditions. Such correlations are
best established experimentally for  different
membrane materials, membranes, and solutes.
The following correlations so established are
used in obtaining the results presented in this
paper.
     1.  For CA-398 membranes, DAM/K£
        for  a  given solute (whether  ion-
        ized or nonionized) is independ-
        ent of  feed concentration   and
        feed flow rate.
     2.  For  PPPH-8273 membranes,
        DAM/KS for any nonionic solute is
        independent of feed concentra-
        tion and feed flow rate; in limited
        range of concentrations, DAM/KS
        is also independent of XAS  for
        ionized  solutes involving diva-
        lent ions; and for ionized solutes
        involving monovalent ions only,
    3.
                                  (10)
With respect to any given mem-
brane, k for any solute (k^te)
can be obtained from the corre-
sponding value of k for  NaCl
&NaCi) tar a reference NaCl-HaO
feed solution using the relation:
ksalute = kNaCl
NaCl] %
                                  (ID
                                          diffusivities of the solute in the feed solu-
                                          tion under consideration, and NaCl in ref-
                                          erence feed solution respectively.

                                           Membrane Specifications

                                            At a specified operating temperature and
                                           pressure, a reverse osmosis membrane can be
                                           specified in terms of its performance data with
                                           respect to  a reference solute in aqueous solu-
                                           tion. For the  purpose of  this paper, NaCl is
                                           taken  as the  reference solute. Any CA-398
                                           membrane  can  be  completely specified  in
                                           terms  of its A and (DAM/KS^CI values; any
                                           PPPH-8273 membrane  can be completely
                                           specified in terms of its  values for A and
                                           ff>AM/K%faCl corresponding to  a  given XAB
                                           value.  A single  set  of experimental  reverse
                                           osmosis  data on PWP,  PR,  and f for a
                                           reference NaCl-H20 feed solution under known
                                           operating conditions is enough for use in equa-
                                          tions (6) to (9) to obtain the required specifying
                                           data on A, ff>AM/K$NaCl. m&  XA2- When a
                                          membrane is so specified, its reverse osmosis
                                          performance with respect to a large number of
                                          inorganic and  organic solutes,  and different
                                          feed concentrations and feed flow rates (as ex-
                                          pressed by different k values) at the specified
                                          pressure and  temperature can be  predicted
                                          from the basic transport equations or by com-
                                          bining them with the polar free energy, steric,
                                          and nonpolar  parameters given above. This
                                          predicion technique is outlined and illustrated
                                          below with respect to a CA-398 membrane and
                                          a PPPH-8273 membrane specified as in Table 7.

                                          Predictive  Capability of  Basic Transport
                                          Equations

                                           Combining equations (7), (8), and (9),
                                                                                         (12)
                                                                         (c2XA2-c3XA3)
                                        (13)
AIP-TrCX^)  +

     JDAM(U-XA3
                                                                XA3

                                                 (C2XA2 ~ C3XA3)
where (DAB) solute and (DAB) NaCl are the
                                            84

-------
      TABLE 7. MEMBRANE SPECIFICATIONS
       Operating pressure: 405 psig (27.56 atm)
       Operating temperature: 25° C
                      CA-398
                     Membrane
         PPPH-8273
         Membrane
A, g-mole H20/cm2s atm   1.660 x10~6   1.300 x 1IT6
(DAM/K8)NaC|, cm/s     1.790x10-5   1.470
XA2                              1.386:
            ' f \ I w
            Ix 10-5)
            ix ID'3 /
 For a membrane specified in terms of A and
 DAM/KS, equations  (12) and (13) enable one to
 predict membrane performance (solute separa-
 tion and membrane flux) for any feed concen-
 tration XAI, and any chosen feed flow condition
 specified in terms of k as follows. First deter-
 mine, by trial  and error, the particular com-
 bination of XA£ and XAS which simultaneously
 satisfies equations  (12) and (13), and also equa-
 tion (10) when applicable. Using that combina-
 tion of XA2 and XAS values, determine NB from
 equation (7). The above values of XAS and NB
 give the obtainable solute separation and mem-
 brane flux which may be expressed in terms of
 /"and PR respectively  as follows (ref. 1):
             These results also illustrate that while data on
             A and (DAM/K%aC1 (along with data needed for
             equation (10)) are enough to specify a mem-
             brane, they are not  enough to predict mem-
             brane performance with respect to any solute,
             any feed concentration, and any feed flow rate;
             for  such prediction, the relationship between
             (DAM/K6)NaC1 and DAM/K6 for other solutes, and
             the applicable value of k are needed in addition
             to data on A and (DAM/K%aCi; variations in k
             can have significant effects on / and PR; and,
             consequently, reverse osmosis experimental or
             performance data on f and PR are always in-
             complete without the corresponding k value or
             its equivalent.
               Considering the  problem of predicting the
             reverse osmosis performance of  a  specified
             membrane  at any point  in  the  membrane-
             solution-operating system, the quantity A is in-
             dependent of any solute under consideration,
             the quantity k is fixed either by choice or by
             operating conditions, or can be calculated from
             equation (11) or by other means (ref. 28), and
             hence the problem  is primarily one of gener-
             ating the applicable value of DAM/KS for the
             solute  under  consideration  from  data on
             (DAM/K^NaCl given  in  membrane specifica-
             tions.

     ml
                       X
               = 1—(
A3
                       - X
                           A3
       1-X
Al
         X
          •Al
            X
     *  1-
             A3
                                        (14)
           X
             Al
 PR  = -
        NB  X MB  X  S X  3600

I {-
1
1000
mi (1 — /^MA ,
                                        (15)
 Using the above prediction procedure, one can
 calculate, for example, the effect of feed con-
 centration and feed flow rate (as expressed by
 different values of k) on /and PR for a specified
 membrane.
   A set of  results of such calculations is il-
 lustrated in Figure  3 for the  CA-398  and
 PPPH-8273  membranes specified in Table 7
 with respect to NaCl-H20 feed solutions in the
 solute concentration range 200 to 10,000 ppm.
Relationships  Between  (DAM/K5)NaCi and
DAM/K6 for Other Solutes

  For completely ionized inorganic and (sim-
ple) organic solutes (refs. 12, 14, 15, 16),
                         (DAM/K5)soIute oc expnc
                                                                              AAG
                                                                            AAG^
                                                                 (16)
                                                                     na  i   RT
                                                                                  anion
                          where nc and na represent the number of moles
                          of cation and anion respectively in one mole of
                          ionized solute. Applying equation  (16)  to
                                 *
             MDAM/K6)NaC1 = lnCNaC]
                                                        AAG
                                                             \
                                                         RT
                                                              Na
                                                 AAG
                                                                                c

-------
              CA-398 MEMBRANE
                         PPPH-8273 MEMBRANE
 e
 o
 .c
 X.
 o>
 of
 a.
 z-  98
 g
 h-
 8  96
CO
_  94
o
o
z
    92
                                          J
                            I
I
            2000
6000        10000     2000        6000

  NaCI  CONCENTRATION  IN FEED,  ppm
            10000
   Figure 3. Effect of feed concentration and mass transfer coefficient k on the performance of
            the CA-398 and PPPH-8273 membranes specified in Table 7 for NaCI-H2O feed
            solutions. Operating pressure - 405 psig.
where In CN«CI is a constant representing the
porous structure of the membrane surface ex-
pressed  in terms of (DAM/KS)NaCl- Using the
data on - AAG/RT for Na + and Cl - ions (Table
1) which are independent of In CNBCI»tne value
of the latter can be calculated correspondingly
to any given value of (DAM/K5)NaCl- Using the
value of In CN«CI so obtained, the correspond-
ing  value for DAM/K& for any completely ion-
ized inorganic or (simple) organic solute can be
obtained from the relation
                       aC1
                                anionl
                    Thus, for any specified value of
                    the corresponding values of DAM/KS for a large
                    number of completely ionized solutes can be
                    obtained from  equation 18 using  data  on
                     -AAG/RT for different ions given in Table 1.
                      For  the  PPPH-8273 membrane considered
                    for illustration in this work, (DAM/K^hfeCl at
                    XA2 = 1.386 x 10-3  was  used  to calculate
                    In C&aci for use in  obtaining (DAM/KSUnne
                    values for  nonionized organic  solutes,  and
                    (DAM/K%aCl at XAZ - 0.830 x 10-3 was used
                    to  calculate In  CNaCl  for use  in obtaining
                    (DAM/K5)solute  values for ionized inorganic
                    solutes.
                      With respect to electrolytic inorganic
                    solutes, a few special cases are of particular in-
                    terest to water pollution control. Some solutes
                    are subject to partial dissociation and ion-pair
                    formation  (for example, sulfates  of divalent
                                          86

-------
metals particularly at high concentrations) or
partial hydrolysis (for example, Na2C03, FeCl2
etc.). For a solution system involving ions and
ion pairs, equation (18) can be written as:
ln(DAM/KS)sohlte =
                                        cation
 where ap represents the degree of dissocia-
 tion, and the subscript ip refers to the ion-pair
 formed; for the particular case where the ion-
 pair itself is an ion, equation (18) assumes the
 more general form
 ln(DAM/K6)solute =
                         n   -
               (20)
      AAG\
       RT  )  t.
           ' cation
                           RT  /
                                 anion
                            M   AAGN|
                       -aon- RT;_
                      /
AAG\

 RT  )
     ' i
                               cation

                     (l-aD)(na-nipc)
                         AAG\
                          RT /
                               anion
 where the subscripts nipc and nipa are number
 of moles of cation and anion respectively in-
 volved in one mole of ion-pair. For example,
 when K3Fe(CN)6  dissociates to give K+  and
 Fe(CN)63- ions, and the ion-pair KFe(CN)62-,
 nc = 3, na = 1, njpc =  1. and  njpa = 1; when
 K4Fe(CN)g  dissociates  to  give  K+   and
 Fe(CN)64- ions, and the ion-pair KFe(CN)63-,
 nc = 4, na = 1, nipc = 1. and nipa = 1. Further,
 for the case of a feed solution which is subject
 to partial hydrolysis, equation (18) becomes
ln(DAM/K5)solute  =
                                                                 (21)
                              AAG
                              RT /
                           AAG
                            RT )
                                                                                   anion
                                                                                      cation
                                                                                       1
                                                                       «H
                              /  AAG\
                              \  RT /
                                                                                         hy
                                                                          AAG
                                                                              [\
                                                                           RT /
                                                                                OH- or H+
where «H represents the degree of hydrolysis,
and the subscript hy refers to the hydrolyzed
species resulting from the hydrolysis reaction
and the subscripts OH -  and H + represent the
hydroxyl  and hydrogen ions respectively. In
equations (19), (20),  and (21), the applicable
values of «D and «H are those corresponding to
the boundary concentration XA2-
  Using equation (18) (and equation (19) when
necessary) and  data given  in  Table 1 for
calculating  the  DAM/KS values  for  MgClg,
NaaSO,!, and MgS04 solutes, the corresponding
data on  solute  separation  and product  rate
were  calculated  at a  constant  value of
k( = 20 x 10 - 4 cm/s) as a function  of feed solu-
tion concentration (in the range 200 to 10,000
ppm of solute) for the CA-398 and PPPH-8273
membranes  specified  in Table 7.  The results
obtained  are given  in  Figure 4, which il-
lustrates the effect of chemical nature of solute
and that  of  membrane material on reverse
osmosis performance, and also the utility of
equations (18) and (19) together with the basic
transport equations  (6)  to  (9) for predicting
such performance data. The latter is fui t-her il-
lustrated  by data on solute separation  pre-
sented in Appendix 1.
  For  a completely nonionized polar  organic
solute (refs.  13,27),
                         ln(DAM/K5)soiute =
                              lnA<
(22)
                         RT /
                     6*2E
                                             87

-------
                 CA-398 MEMBRANE
              PPPH-8273 MEMBRANE
 OJ
  o   2
   o»
  of
  a.
                                       MgS04
Na2S04

                                       MgS04
SOLUTE SEPARATION, %

-------
            -1.0
          -2.0
                        CA-398
                        MEMBRANES
                                          PPPH-8273
                                          MEMBRANES
                                                                   \
                                                                     \
1.0
2.0
 Figure 5. Correlation of In A* versus
3.0
                                                              4.0
                                                                           5.0
                                              for CA-398 and PPPH-8273 membranes at 25° C.
 (vs) of the product solution through the mem-
 brane may be expressed as
                     AP
                      c
                                       (23)
Applying the basic transport equations (6) to (9)
to such dilute feed solutions, DAM/K6 for  the
solute involved can be expressed as (ref. 6):
(DAM/K8)solute -

and hence
                   (1
f =
         (DAM/K5)solute
                        exp<
                                   -1 (24)
                                      (25)
Equation (25) is an extremely useful relation-
ship; it enables one to calculate solute separa-
tion f as a  function of (DAM/K6)soiute  for any
given value of k for any specified membrane.
The. results of such calculations for the CA-398
and PPPH-8273 membranes specified in Table
7  are presented  in  Figure  6  as  f vs.
In (DAM/K£)solute for different k values.  These
correlations  are applicable to both inorganic
and organic solutes (whether ionized or non-
ionized) so long as the feed  solution  involved
satisfies the criteria stated above for  dilute
solutions, and (DAM/K6)solute  ig independent of
XA2- For such feed solution  systems, one can
calculate  ln(DAM/K<5)solute f°r anv solute from
one of the applicable relations from the set of
equations (18) to (22), and then directly read the
corresponding solute separation f from Figure
6 for  a wide range  of k-values for the mem-
branes specified in Table 7; thus the practical
utility of the correlations of the type shown in
Figure 6 is obvious.
  In view of the practical importance of dilute
feed solutions in the  application  of reverse
                                            89

-------
               CA-398 MEMBRANE
                                                         PPPH-8273 MEMBRANE
    lOOi-
          -12    -10
-6
-4     -2     -12     -10

   in(DAM/K8)so|ufe
 Figure 6. Correlation of solute separation versus ln(DA,vi/k8)Solute for tne CA-398 and PPPH-8273
          membranes specified in Table 7 for dilute aqueous feed solutions. Operating pressure =
          405 psig.
osmosis  to water pollution  control, solute
separation data for the membranes specified in
Table 7 were calculated for a large number of
inorganic and organic solutes using the ap-
plicable relationships from the set of equations
(18) to (25), and the physicochemical data given
in Tables 1 to 6; the results obtained are given
in Appendix 1.
   The effect of operating pressure P on solute
separation /is of interest in many water pollu-
tion control applications.  According to equa-
tion (25), when the values of (DAM/K5)soiute and
k  remain constants and vs 1. These predictions  of
equation (25), which are both  of fundamental
and practical interest, have been experimental-
ly verified (ref. 29).
   Many polluted waters contain organic acids
which  are dissociated  to different  extents
depending upon their concentrations. Reverse
osmosis separations of such acids in dilute solu-
tions can be calculated by determining sepa-
                   rately the applicable  (DAM/KS) value for the
                   ionized part from equation (18), and that for the
                   nonionized acid from  equation  (22), and  then
                   calculating solute  flux  NA for  each  part
                   separately from the general relation
                          NA =  (DAM/KS)c(XA2-XA3>.
                                                    (26)
                   From the values of NB (= AP) and total solute
                   flux (NA)total ( = NA for ionized part + NA for
                   nonionized acid), XAS can be calculated from
                   the relation

                         XA3 = (NA)total/ {NB + (NA)t0tal}    (27)

                   and then the solute separation. / can be  cal-
                   culated from equation (14). Further computa-
                   tional details of this method of calculation are
                   given in reference 14. Using this method, sol-
                   ute separation data for several  organic acids
                   were calculated as a function of feed concentra-
                   tion at a specified k value for the CA-398 mem-
                   brane specified in Table 7, and the results ob-
                   tained are given in Figure 7; additional data on
                   f for a number  of such organic acids  are in-
                   cluded in Appendix 1.
                                             90

-------
                                  CA-398  MEMBRANE
                                                               TARTARIC ACID
                                                                  CITRIC  ACID
                                                                    LACTIC ACID
                                                                      D,L-MALIC ACID
             BENZOIC
                 ACID
                                      SUCCINIC
                                          ACID
ACETIC
  ACID
                                                                     CITRIC ACID
                                                                   TARTARIC ACID/
                                                                   	.	.
                                                                  D,L- MALIC ACID
                                                                     LACTIC ACID

                                                                   SUCCINIC ACID
                                                                 r—BENZOIC ACID

                                                                 \   ACETIC ACID
                              5      10             50    100            500
                           SOLUTE CONCENTRATION IN  FEED, ppm
                                                    1000
  Figure 7.  Effect of feed concentration on the performance of the CA-398 membrane specified in
           Table 7 for aqueous feed solutions of partially dissociated organic acids. Operating
           pressure = 405 psig; k = 20 X 10" 4 cm/s.
 Predictability of Membrane Performance
 for Aqueous Feed Solution Systems
 Involving Mixed-Solutes

  The foregoing reverse osmosis  transport
 equations refer specifically  to  single-solute
 aqueous  feed solution systems. Most polluted
 waters however contain more than one solute.
 Hence the predictability of  membrane  per-
 formance for feed solution systems  involving
 mixed-solutes is of real interest in the applica-
 tion of reverse osmosis for water pollution con-
 trol. Even though a comprehensive analytical
technique for predicting such membrane  per-
formance in reverse osmosis  for all  kinds of
                        mixed-solute systems from data on membrane
                        specification only is yet to be developed, con-
                        siderable progress has been made at least with
                        respect  to certain  kinds  of  mixed-solute
                        systems (refs. 1,18,30,31). The latter include (1)
                        mixture of any number of electrolytic solutes
                        involving a common ion (ref. 1), (2) mixture of
                        any number of nonionized organic solutes with
                        no  mutual  solute-solute  interactions (refs. 18,
                        30) and (3)  mixture of two uni-univalent elec-
                        trolytic solutes without a common ion (ref. 31).
                        The techniques involved for predicting mem-
                        brane performance (i.e., both  solute separation
                        and rate of membrane permeated product) for
                        the above  kinds of mixed-solute  systems are
                                            91

-------
described  fully in  the indicated references.
Briefly, the techniques involved for the mixed-
solute  systems (1) and  (2)  use  the reverse
osmosis transport  equations  given  above
treating each solute independently, so that the
net result is simply the additive effect of each
individual   component  in  the  mixed-solute
system. In the prediction technique for the
mixed-solute system (3), the basic reverse
osmosis transport equations  are  written for
each ion along with the  necessary additional
equations for overall electroneutrality for the
system; these  equations  together with equa-
tion (18) written for each possible electrolytic
solute combining the cations and the anions
present in the system, yield a set of equations
                                        which can be solved to give the necessary data
                                        on ion separations and product rates from data
                                        on membrane  specifications  only. This latter
                                        technique  has  recently  been  extended  to
                                        mixed-solute systems  involving  one  mono-
                                        valent-monovalent  electrolyte  and one
                                        divalent-monovalent electrolyte (ref. 32). These
                                        techniques (refs. 31, 32) are simple in principle
                                        and fundamental in approach but require con-
                                        siderable effort in solving the computational
                                        complexities involved. For the purpose of il-
                                        lustration, the  mixed solute system sodium
                                        acetate +  calcium nitrate was  analyzed with
                                        respect to the  CA-398 membrane specified in
                                        Table 7, and the results obtained are shown in
                                        Figure 8. These results are significant from the
   o
   O>
   of
   CL
       2.0
1.0
                                                      J_
                              TOTAL  MOLALITY : 0.2
                                                           NO:
                0.2           0.4           0.6           0.8
            mol CH3COONa/{mol CH3COONa + mol
                                                                                    .0
  Figure 8. Effect of relative concentration of CH3COONa on ion flux and product rate for 0.2
           molal feed solution CH3COONa-Ca(NO3)2-H2O during reverse osmosis operation
           us.ng the CA-398 membrane specified in Table 7. Operating pressure = 405 psig;
                                         92

-------
points of view of both water pollution control
and  fractionation   of  dissolved  solutes  by
reverse osmosis.

Predictability of Performance of
Commercial Reverse Osmosis Modules

  The basic transport equations given above
(equations (6) to (9)) apply to any  point in the
reverse osmosis system. With reference to
commercial  reverse osmosis  modules,   this
means that solute separation and product rate
values predicted by the  above equations  cor-
respond  to  values  obtainable  at module en-
trance or at zero product water recovery.  The
true performance  of an  entire module, how-
ever, involves a finite fraction recovery (A) of
product  water whose concentration changes
continuously from the entrance end to the  exit
end of the module.  Thus the module as a whole
has an  average solute separation (/) and an
average product rate. This performance of the
module as a whole can be predicted by apply-
ing the basic transport equations to the entire
reverse  osmosis  system and  analyzing  the
various relationships applicable to the system.
Such system analysis is simple in principle,
fundamental in approach, and often complex in
 computation. The technique for such analysis
 has been developed in detail  with particular
reference to water treatment applications and
 CA-398 membranes (refs. 33,34). The following
 is a brief outline of this technique.

 System Specification

   Any  reverse  osmosis  system  may   be
 specified in terms of  three  nondimensional
 parameters y, 6, and X defined  as:
7 =
                                      (28)
    osmotic pressure of initial feed solution
              operating pressure

    (DAM/K5)
        w
_   solute transport parameter        (29)
  pure water permeation velocity '
                                                      (DAM/K6)

                                                         mass transfer coefficient on
                                                      the high pressure side of membrane
                                                          solute transport parameter
                                                                                        (30)
                                                 The quantity v£ is obtained from the relation
                                                                     AP
                                                                      c
                                                                                        (31)
                                                 and the quantity iKX^) refers to the osmotic
                                                 pressure of the feed solution at membrane en-
                                                 trance in a flow process or start of operation in
                                                 a  batch  process.  The  quantities  y,  6,  and
                                                 X0 (= k/Vw) may be described as the osmotic
                                                 pressure  characteristic, membrane  charact-
                                                 eristic, and  the  mass  transfer coefficient
                                                 characteristic respectively  for  the  reverse
                                                 osmosis  system under consideration.  The
                                                 significance of system specification  is that  a
                                                 single  set of numerical parameters can repre-
                                                 sent an infinite number of membrane-solution-
                                                 operating systems;  conversely, any  two
                                                 membrane-solution-operating systems  can be
                                                 simply and precisely differentiated in terms of
                                                 unique combinations of numerical parameters.

                                                 System Analysis

                                                   Figure  9   indicates the  performance
                                                 parameters of a reverse osmosis system.  The
                                                 dimensionless concentration C is defined in
                                                 terms of actual concentration ratios as
                                                 so that
                                                              C = XA/XA1

                                                              GI = XAI/XAI
                                                                C2 = XA2/X&!
                                                              C3 =
                                                                C3 =
(32)

(33)

(34)

(35)

(36)

(37)

(38)

(39)

-------
 Thus the quantities GI, €2, and CB represent
 the concentrations of the bulk solution and the
 concentrated boundary solution on  the  high
 pressure side of the membrane and the mem-
 brane permeated product solution on the low
 pressure side of the membrane respectively at
 any point in the system; the quantities C°, C%,
 and €3 are the values of Ci, C& and Cs respec-
 tively at membrane entrance in flow process,
 or at start of_pperation in batch process; and,
 the quantity  Ca is the average value  of €3 cor-
 responding to a specified fraction A of product
 water recovery.  Further,  a  dimensionless
 longitudinal  length  parameter X  for  a  flow
 process, and a dimensionless time parameter r
 for a batch process are defined as:
 and
     VW  X
X  = =o  ~
     u   h
                T =
                                        (40)
                                       (41)
When (1/h) • (S/V°),  and  (x/Tr0)st,  the
numerical values of X and T are identical. The
quantities Ci,  C2, C3, 63, r or X, and A repre-
sent  the  main  performance  data for  any
specified reverse osmosis system.
  On the basis of the transport equations (6) to
(9),  and the foregoing definitions, and a few
reasonable assumptions  applicable  for  most
water treatment  applications of reverse
osmosis, it has been shown that in any reverse
osmosis system specified in terms of 7,6, and X,
the quantities vw( = local permeation velocity
of product water) and v£, C% and Ca, Ci and €3,
Ci and  GS, €3 andr or X, and  63 and A are
uniquely related as follows:
           =  C
                                       (42)

                                       (43)
                                       (44)
cV  = i =
                                                                          (45)
                                                                     exp (46)
                                            + CsA =  1                  (47)

                                                 A =  1 - exp(-Z)        (48)
                                                  where Z =
                                                  X(7C3 + 0)
                                  and
                                                        - 7 +
                                                               (7C3 + 6) (50)
                                               (7C3 + 0)exp

                                             exp (-Z)
                       sM'
                                  ' ^
                                                 0
                                                       dC,
                                 The  above  relationships  show  that  with
                                 respect to a specified reverse osmosis system,
                                 if any 4 of the 12 quantities of 7,6, X (or X0), Z, A,
                                 Ci, Cz, C§, €3, Cjj, €3, T or X are fixed, the re-
                                 maining 8  quantities can be  obtained  by
                                 simultaneous solution of equations (42) to (50).

                                 Illustrative  Calculations

                                   A commercial ROGA-4000 reverse osmosis
                                 module with a cellulose acetate (assumed to be
                                 CA-398) membrane has the following dimen-
                                            94

-------
     C|
        0
      u°
                  lllllllllllllimmilllllllllllllllllllllllimimilimUllllMlmillllfllllllllllll
               Figure 9.  Performance parameters for a reverse osmosis system.
sional characteristics:

    effective area of film
     surface = 5.763 x 104 cm2,
    longitudinal length for feed flow,
     x = 73.7 cm,
    membrane area per unit volume of fluid
     space, h"1 =  18.19 cm"1, and
    cross sectional area of module = 44.15
     cm2.

A single reverse osmosis experiment with the
above module gave the following data for a
3,500 ppm NaCl-H20 reference feed solution
whose osmotic pressure is 40 psi:
    operating pressure
    pure water permeation
     rate
    feed flow rate at module
     entrance
    product rate
= 400 psig

= 0.75 gal/min

= 3.45 gal/min
= 0.656 gal/min
    flow rate of concentrate  = 2.794 gal/min
    concentration of NaCl
     in product              = 140 ppm.
                       From the above data, the values for the four
                       quantities 7, A, Ca, and X can be calculated to
                       be as follows:
                           7
                           A
                            Uu

                           X
          x(3,500 ppm NaCD/400 = 0.1
          product rate/feed flow rate = 0.19
          NaCl concentration in
          product/Nad concentration in
          feed  = 0.04
          pure water permeation rate/
          effective area of film
          surface =  8.242 x 10 - 4 cm/s
          feed flow rate/cross sectional area
          of module =  4.95 cm/s
              x/u°h = 0.2232.
v:
Solving equations (42) to  (50) simultaneously,
the values of 6 and X0 corresponding to the
above values of 7, A, C& and X are obtained as

             6 = 0.02176, and
            X0 = 2.233

from which the values of (DAM/K6)NaCl f°r the
membrane in the module and k]staci for the
                                              95

-------
operating conditions of the module can be cal-
culated to be

    (DAM/K6)NaCi =  1.793 x 10 - 5 cm/s, and
           kNaCl =  18.4 x 10 ~4 cm/s.

From the  above values  of (DAM/K5)fjaci and
kNaCi,thecorrespondingvaluesof(DAM/K5)solute
and  ksoiute  for  different solutes  can  be
calculated  using equation  (11) and equations
(18) to (22) discussed earlier. Using these values
of ODAM/K6)solute and ksoiute, and the value of v£
obtained already for the module, the reverse
osmosis system can be respecified in terms of
                                           y, 6, and X for any desired feed solution system.
                                           These latter three parameters, together with
                                           the already calculated value  of X  for  the
                                           module, yield the_pther performance data A,
                                           Ci,  Cz, 63, and  €3 for the solution system
                                           under consideration.
                                             For further illustration,  a few  numerical
                                           data for the above ROGA module were calcu-
                                           lated by system analysis with particular refer-
                                           ence to very dilute feed solutions for which 7
                                           may be assumed to be equal to zero. For such a
                                           case, the numerical values of A and  X become
                                           identical, and Figure 10 shows the  effects of
                                           variations of (1) ktfaCl and (2) nature of solute on
         20
              SODIUM CHLORIDE
                                                                       kxlO
                                                                        cm/s
                                    7
                                    0
<0.0
'0.02176
                                                                             18.4,
                                                                          100,00
    f
 1.00-

      •

 0.96="
•


 0.92-


  20


   10
 Cl
                  i	I	i	I
kNoCI =
18.4 x 1
0~4 cm/s
                                          y=o.o
                                       ©NoCl=0.02176
              i-PROPYL  ALCOHOL—i
                        GLYCEROL-i
     Figure 10. Some results of system analysis for a reverse osmosis module for very dilute
                                    feed solutions.
                                          96

-------
average solute separation / (= 1 - Ca), and the
ratio, solute concentration in the concentrate
leaving the system/solute concentration in the
feed entering the system = Ci, as a function of
fraction product water recovery. For the par-
ticular ROGA module analyzed, when 7 = 0,
0 = 0.02176 and X0 = 2.233, A = 0.2232; the values
of /and Ci corresponding to this value of A are
indicated in Figure 10 by dotted lines.
   The foregoing calculations illustrate the ap-
plication  of  basic  transport equations  and
system analysis for predicting the  perfor-
mance of  reverse  osmosis  membranes  and
modules;  conversely, one can  also perform
similar calculations to specify the membranes
and modules  needed to obtain a given reverse
osmosis performance.
 A FUNDAMENTAL APPROACH TO SOME
 OF THE OTHER ASPECTS OF REVERSE
 OSMOSIS RELEVANT TO WATER
 POLLUTION CONTROL

 Preferential Sorption of Solute at
 Membrane-Solution Interfaces

   The transport equations and  predictability
 techniques discussed above apply specifically
 to reverse osmosis  systems  where  water is
 preferentially  sorbed at the membrane-solu-
 tion interface. There are a large  number of
 practically important reverse osmosis systems
 where solute is preferentially sorbed at the in-
 terface. For example, with respect to cellulose
 acetate membranes and  aqueous  solutions,
 such systems involve solutes such as phenols,
 chlorinated  and/or  aromatic   hydrocarbons,
 mineral oils, higher alcohols,  and many  un-
 dissociated  organic  compounds.  For  such
 reverse  osmosis systems,  comprehensive
 precise criteria  for  preferential sorption  of
 solute  at membrane-solution  interface, and
 transport equations  and predictability tech-
 niques similar to those described above are yet
 to  be  fully  developed.  However,  certain
 characteristics of such systems are known
 (refs. 26,35,36,37). When solute is preferentially
 sorbed at the  membrane-solution interface,
 solute  separation in reverse osmosis can be
 positive, negative, or zero, depending on the
 nature of solute,  membrane, and experimental
 conditions;  under  otherwise   identical ex-
perimental conditions,  solute separation  can
pass through a maximum and minimum with
decrease in average pore size on the membrane
surface,  and  solute  separation  generally
decreases with increase in operating pressure.
Solute preferential sorption results in pore-
blocking effect, so that even when the osmotic
pressure effects involved are negligible,  the
PR/PWP ratio is significantly less than unity.
The quantities 14PR/PWP) (which is a measure
of pore-blocking effect) and NA (solute flux) are
both unique functions of XAZ for the calculation
of which equation (9) is still applicable.

Temperature Effects

  The effects of operating temperature on (1)
A, (DAM/K5)Soiute. and ksoiute. (2) the rate of any
chemical reactions involved  (such as  hydrol-
ysis,  dissociation,  etc.),  and (3) the physical
properties of  the membrane  (compaction,
swelling, etc.), and the result of such effects on
the overall performance of the reverse osmosis
system are all yet to be studied in detail.

Effects of pH

  The pH of the feed solution may change the
chemical nature of the  solute species and/or
that of the membrane surface due to dissocia-
tion and/or hydrolysis reactions. Such changes
must naturally affect the performance of the
membrane during reverse osmosis. The effects
of such changes must be distinguished from the
effects of other parameters governing reverse
osmosis  separations  in the choice  of  ap-
propriate reverse osmosis systems for  specific
applications.

Membrane Compaction

  The factors governing membrane  compac-
tion in reverse osmosis include (1) molecular
structure  and physical properties of the mem-
brane material, (2) overall porous structure of
the membrane arising from specific membrane
making conditions, and (3) reverse osmosis ex-
perimental conditions.  Precise  quantitative
relationships between  membrane compaction
and  the  above factors have not yet been
studied in  detail.
                                              97

-------
 Membrane Fouling

   The term "fouling" represents no definite
 scientific phenomenon; it is just an incoherent
 description of the occurrence of flux decline of
 product  water during reverse osmosis due to a
 variety  of reasons which include  (1) pore-
 blocking by suspended or colloidal matter  pre-
 sent in the feed solution, (2) pore-blocking due
 to precipitation of some solid from the feed
 solution   during  reverse  osmosis,  (3) pore-
 blocking due to solute preferential sorption at
 the membrane-solution interface, (4)  high  con-
 centration polarization  on the high  pressure
 side of the membrane, (5) low solute diffusivity
 and low  mass transfer coefficient on the high
 pressure side of the membrane, (6) high viscosi-
 ty of the boundary solution on the high pres-
 sure side of the membrane,  (7) pre-gel or gel
 formation on the high pressure side of  the
 membrane, (8) membrane compaction, and (9)
 chemical and physicochemical processes affect-
 ing the chemical nature and  porous structure
 of the membrane. Often several of the above
 reasons   contribute simultaneously   to  flux
 decline  during reverse osmosis. Therefore
 practical solutions to the problem of membrane
 fouling must be based on an understanding of
 the causes of  such  fouling in  the particular
 reverse osmosis application concerned.
 Ultrafiltration (UF) and Reverse
 Osmosis (RO)

   The distinction between UF and RO is not
 well  defined, and it  will continue to be  so
 because  of historical and practical reasons.
 This need not prevent a basic understanding of
 these two processes which are extremely im-
 portant  for  water  pollution control  applica-
 tions. Simply because the osmotic pressure of
 the solution  involved is low or negligible, or
 the molecular weight of the solute involved is
 high, or the operating pressure for the system
 is low, or the resulting water flux in the system
 is high, the process involved does not become
 UF nor does it cease to be RO. If UF is re-
 stricted to size separation by mechanical sieve
 filtration, and RO is restricted to solute separa-
 tion by virtue of preferential sorption of sol-
 vent or solute at the membrane-solution inter-
face, the two  processes are mutually exclusive
 and can be treated as such, even though both
 processes may occur simultaneously in a given
 system. Further, even  when the process  in-
 volved is clearly a mechanical  sieving opera-
 tion, the chemical nature and porous structure
 of the membrane surface may have significant
 effects on the filtration characteristics of the
 system. These considerations point to the need
 for a critical study of the UF and RO processes
 involved  in practical  membrane separation
 systems nominally described as ultrafiltration.

 CONCLUSION

   The field of reverse osmosis is new,  open,
 visible, and versatile. In the present context of
 widespread industrial pollution and public con-
 cern on the quality of our environment, the ef-
 fective utilization of reverse osmosis for water
 pollution  control would  make the  social rele-
 vance of reverse osmosis second to none. For
 such utilization,  one  must understand  and
 develop the science of reverse osmosis. The
 physicochemical  basis   for reverse  osmosis
 separations, the  materials  science of reverse
 osmosis  membranes,  and the   engineering
 science of reverse osmosis transport are the
 major components of the  science  of reverse
 osmosis-. All applications of reverse osmosis
 arise from this science. The development and
 practical utilization  of  this science calls for
 dedicated efforts. This paper is part of such ef-
 forts.
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 1.   S. Sourirajan, Reverse Osmosis, Chapters
     1, 2, 3, and 6, and Appendix 1, Academic
     Press, New York, 1970.
 2.   Reverse Osmosis and Synthetic Mem-
     branes,  S.  Sourirajan,  ed., National
     Research Council Canada, Ottawa, 1977.
 3.   S. Sourirajan, Pure Appl. Chem.,  Vol. 50,
     No. 7, p. 593,1978.
 4.   S. Sourirajan, Reverse Osmosis and Syn-
     thetic Membranes,  S.  Sourirajan, ed.,
     Chap.  1,  National  Research  Council
     Canada, Ottawa, 1977.
 5.   S.  Sourirajan,  Ind.  Eng. Chem.  Funda-
     mentals, Vol. 2, p. 51,1963.
 6.   S. Sourirajan and T. Matsuura, Reverse
     Osmosis  and Synthetic Membranes,  S.
                                             98

-------
    Sourirajan, ed., Chapters 2 and 3, Nation-
    al Research Council Canada, Ottawa, 1977.
7.  L.  E. Applegate  and  C.  R. Antonson,
    Reverse Osmosis Membrane Research, H.
    K. Lonsdale and H. E. Podall, eds., p. 243
    Plenum, New York, 1972.
8.  T. Matsuura, P. Blais, L. Pageau, and S.
    Sourirajan, Ind. Eng. Chem. Process Des.
    Dev., Vol. 16, p. 510, 1977.
9.  T. Matsuura, P. Blais, and S. Sourirajan,
    J. AppL Polym. Sci., Vol. 20, p. 1515,1976.
10.  T. Matsuura and S. Sourirajan, Ind. Eng.
    Chem. Process Des. Dev., Vol.  17, p. 419,
    1978.
11.  S.  Sourirajan and B. Kunst, Reverse Os-
    mosis and Synthetic Membranes, S. Sour-
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12.  T. Matsuura, L. Pageau, and S.  Sourira-
    jan, J.  AppL Polym.  Sci., Vol.  19, p. 179,
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13.  T. Matsuura, J.  M.  Dickson,  and  S.
    Sourirajan, Ind. Eng. Chem. Process Des.
    Dev., Vol. 15, p. 149, 1976.
14.  T. Matsuura, J.  M.  Dickson,  and  S.
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15.  R. Rangarajan, T. Matsuura, E. C. Good-
    hue, and S.  Sourirajan, Ind. Eng. Chem.
    Process Des. Dev., Vol. 15, p. 529, 1976.
16.  R. Rangarajan, T. Matsuura, E. C. Good-
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17.  R. W. Taft, Jr., Steric Effects in Organic
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18.  T.  Matsuura, M. E. Bednas,  and  S.
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19.  T. Matsuura, M. E. Bednas, J. M. Dickson,
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    Vol.  18, p. 2829, 1974.
20.  T. Matsuura, M. E. Bednas, J. M. Dickson,
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21.  L. G. Sillen and A. E. Martell,  "Stability
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22.  C. P. Bean, Research and Development
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     Dept. Interior, Washington, DC, 1969.
23.  T. Matsuura and S. Sourirajan, J. Appl.
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24.  E.  N. Pereira,  T.  Matsuura, and  S.
     Sourirajan, J. Food Sci., Vol. 41, p. 672,
     1976.
25.  P. A. Small, J. Appl. Chem., Vol. 3, p. 71,
     1953.
26.  T. Matsuura and S. Sourirajan, J. AppL
     Polym. Sci., Vol. 17, p. 3683,1973.
27.  T. Matsuura, A. G. Baxter, and S. Sourira-
     jan, Ind. Eng. Chem. Process Des. Dev.,
     Vol. 16, p. 82, 1977.
28.  S. Kimura  and S. Sourirajan, Ind. Eng.
     Chem. Process Des. Dev., Vol.  7, p. 539,
     1968.
29.  F. Hsieh, T. Matsuura, and S. Sourirajan,
     J. AppL Polym. Sci., in press.
30.  T. Matsuura and S. Sourirajan, Ind Eng.
     Chem. Process Des. Dev., Vol. 10, p. 102,
     1971.
31.  R. Rangarajan, T. Matsuura, E. C. Good-
     hue, and S. Sourirajan, Ind. Eng. Chem.
     Process Des. Dev., Vol. 17, p. 46,1978.
32.  R.  Rangarajan,  T.  Matsuura,  E.  C.
     Goodhue, and S. Sourirajan, Ind. Eng.
     Cheni. Process Des. Dev., Vol. 23, p. 561,
     1979.
33.  H. Ohya and   S.  Sourirajan,  Reverse
     Osmosis System Specification  and Per-
     formance Data for Water Treatment Ap-
     plications, The  Thayer School  of Engi-
     neering, Dartmouth  College, Hanover,
     NH, 1971.
34.  S.  Sourirajan and H. Ohya, Reverse Os-
     mosis  and  Synthetic  Membranes,  S.
     Sourirajan,  ed.,  Chapter 4, National Re-
     search Council Canada, Ottawa, 1977.
35.  T.  Matsuura and S. Sourirajan, J. AppL
     Polym. Sci., Vol. 16, p. 2531, 1972.
36.  T.  Matsuura and S. Sourirajan, J. AppL
     Polym. Sci., Vol. 17, p. 3661,1973.
37.  J.  M.  Dickson,  T. Matsuura,  and S.
     Sourirajan, "Transport Characteristics in
     the Reverse Osmosis System  p-Chloro-
     phenol-Water-Cellulose   Acetate  Mem-
     brane," Ind. Eng.  Chem. Process Des.
     Dev., in press.
                                            99

-------
                                   APPENDIX 1.

     (a) CALCULATED DATA ON REVERSE OSMOSIS SEPARATIONS OF DIFFERENT SOLUTES
                   FOR THE CA-398 MEMBRANE SPECIFIED IN TABLE 7
Operating conditions:  very dilute feed solutions; Operating pressure: 405 psig; k|yjag| = 20 x 10" cm/s

Solute
NaCI

Inorganic solutes
AI(N03)3
NH4Br
NH4CI
NH4I
NH4N03
BaBr2
BaCI2
Bal2
Ba(N03)2
Cd(N03)2
CdS04*
CaBr2
CaCI2
Cal2
Ca(N03)2
Ce(N03)2
CsBr
CsCI
Csl
CsN03
Cr(N03)3
Co(N03)2
CoS04*
Cu(N03)2
CuS04*
FeCI2
Fe(N03)2
Fe(N03)3
LaCI3
La(N03)3
Pb{N03)2
i • f\
LiBr
1 " ^1
LiCI
LiF
Lil
LiN03
* • •*
MgBr2
kxlO4
cm/s
20


14.5
23.3
23.0
23.1
22.5
18.3
18.2
18.2
17.7
17.2
13.1
17.8
17.6
17.7
17.2
16.9
23.6
23.5
23.5
22.9
16.7
16.8
12.6
16.6
17.1
'16.9
16.7
15.4
17.3
16.7
18.3
18.0
17.9
16.5
18.0
17.6
17.0
Sepn.
%
96.8


99.5
95.8
96.4
94.5
92.6
99.1
99.4
98.5
97.2
96.5
>99.9
98.7
99.1
97.8
95.9
99.4
96.7
97.2
95.7
94.2
98.8
96.3
>99.9
97.4
99.1
98.6
93.7
99.7
99.4
94.3
97.5
96.2
96.7
97.9
95.0
93.2
98.9

Solute
MgCI2
Mgl2
Mg(N03)2
MgS04*
Mn(N03)2
MnS04*
Ni(N03)2
NiS04*
K acetate
K anisate
K benzoate
KBr
KBr03
K butyrate
K o-ctilorobenzoate
K p-chlorobenzoate
KCI
KCI03
KCI04
K2C03*
K2C204
K2Cr04
K2Cr207
K cyclohexylcarboxylate
KF
KHCOO
KHC03
KH phthalate
KH2P04
KHS04
K hydroxybenzoate
Kl
KI03
K3Fe(CN)6»
K4Fe(CN)6*
K isobutyrate
K m-nitrobenzoate
K o-nitrobenzoate
K p-nitrobenzoate
KN02
kx104
cm/s
16.9
16.9
16.5
13.0
16.6
13.1
16.6
13.1
18.2
15.6
16.4
23.3
20.6
16.8
16.5
16.4
23.0
21.7
22.1
18.5
11.7
19.5
16.7
16.3
20.6
20.5
18.9
20.1
18.0
19.8
16.4
23.1
18.2
19.0
18.8
16.8
16.5
16.5
16.5
20.9
Sepn.
%
99.2
98.1
96.5
>99.9
96.9
>99.9
97.2
>99.9
99.2
98.9
98.8
96.0
97.8
99.2
99.5
98.8
96.6
95.3
92.5
>99.9
99.9
99.9
98.3
99.4
97.8
97.5
98.5
97.1
99.3
• 99.4
98.8
94.8
98.9
>99.9
>99.9
99.3
99.1
99.6
99.1
94.0
                                         100
                                                                        (continued)

-------
APPENDIX 1 (continued).

Solute
KN03
KOH
K phenylacetate
K 4-phenylbutyrate
K (3-phenylpropionate
K pivalate
K propionate
K2S03
K2S04
K2S203
K tofuate
K valerate
RbBr
RbCI
Rbl
RbN03
Na acetate
Na anlsate
Na benzoate
NaBr
NaBr03
Na butyrate
Na o-chlorobenzoate

Na p-chlorobenzoate
NaCI03
NaCI04
Na2C03*
NaiCoOi
Na2Cr04
NaiCroOi
Na cyclohexylcarboxylate
NaP
NaHCOO
NaHCO,
O
NaH phthalate
NaH2P04
NaHS04
Na hydroxy-benzoate
Nal
Nal03
Na3Fe(CN)6*
Na4Fe(CN)6*
Na isobutyrate
Na m-nitrobenzoate
kxlO4
cm/s
22.5
29.3
16.0
14.2
14.5
16.3
17.0
18.7
19.4
19.7
16.4
16.6
23.7
23.5
23.5
23.0
16.5
14.4
15.0
20.1
18.3
15.4
15.1

15.0
19.1
19.3
16.1
10.9
16.9
14.8
14.9
18.3
18.2
16.9
17.9
16.3
17.8
15.0
20.0
16.4
16.3
16.0
15.4
15.0
Sepn.
%
93.0
99.4
98.8
99.0
99.0
99.7
99.3
99.8
99.8
>99.9
98.9
99.3
96.2
96.8
95.1
93.3
99.2
99.0
98.9
96.3
97.9
99.3
99.5

98.9
95.6
93.0
>99.9
99.9
99.9
98.6
99.4
98.0
97.7
98.6
97.3
99.4
99.4
98.9
95.2
99.0
>99.9
>99.9
99.3
99.2

Solute
Na o-nitrobenzoate
Na p-nitrobenzoate
NaN02
NaN03
NaOH
Na phenylacetate
Na 4-phenylbutyrate
Na /3-phenylpropionate
Na pivalate
Na propionate
Na2S03
Na2S04
Na2S203
Na toluate
Na valerate
SrBr2
SrCI2
Srl2
Sr(N03)2
Th(N03)4
Zn(N03)2
ZnS04*

Alcohols


Methanol
Ethanol
1-Propanol
2-Propanol
1-Butanol
2-Butanol
2-Methyl-1-propanol
2-Methyl-2-propanol
1-Pentanol
2-Pentanol
3-Pentanol
2-Methyl-l-butanol
3-Methyl-1-butanol
2,2-Dimethyl-1-propanol
1-Hexanol
2-Hexanpl
3-Hexanol
2-Methyl-1-pentanol
3-Methyl-l-pentanol
4-Methyl-1-pentanol
N104
cm/s
15.0
15.0
18.5
19.6
15.1
14.6
13.2
13.5
14.9
15.5
16.6
16.7
17.1
12.0
15.2
17.8
17.6
17.7
17.3
11.1
16.5
13.0



22.6
18.7
16.5
16.5
15.0
15.0
15.0
15.0
13.9
13.9
13.9
13.9
13.9
13.9
13.0
13.0
13.0
13.0
13.0
13.0
Sepn.
%
99.6
99.2
94.4
93.5
99.4
98.9
99.1
99.1
99.7
99.3
99.8
99.8
>99.9
98.8
99.3
98.9
99.2
98.1
96.4
99.9
96.3
>99.9



9.4
18.2
29.3
48.0
21.8
49.7
49.7
86.8
18.5
51.7
51.7
51.7
51.7
75.7
15.5
29.2
29.2
29.2
29.2
f\f\ A
29.2
                                                  (continued)

-------
APPENDIX 1 (continued).
===^=33=========
Solute
3-Methyl-2-pentanol
2-Methyl-3-pentanol
3,3-Dimethyl-2-butanol
1-Heptanol
2-Heptanol
3-Heptanol
4-Heptanol
2-Methyl-3-hexanol
4-Methyl-3-hexanol
3-Methyl-3-hexanol
2,2-Dimethyl-1-pentanol
2,4-Dimethyl-3-pentanol
2,2-Dimethyl-3-pentanol
1-Octanol
2-Octanol
4-Octanol
5-Nonanol
Cyclohexanol

Aldehydes
Acetaldehyde
Propionaldehyde
n-Butyraldehyde
i-Butyraldehyde
i-Valeraldehyde
Benzaldehyde
Hexanal

Ketones

Acetone
Methyl ethyl ketone
2-Pentanone
Methyl isopropyl ketone
3-Pentanone
Cyclopentanone
Methyl n-butyl ketone
Methyl s-butyl ketone
Methyl i-butyl ketone
Methyl t-butyl ketone
Ethyl propyl ketone
Ethyl i-propyl ketone
Cyclohexanone
Methyl amyl ketone
Methyl i-amyl ketone
-I^M «•!! —1 '
kxlO4
cm/s
13.0
13.0
13.0
12.3
12.3
113
12.3
12.3
12.3
12.3
12.3
12.3
12.3
11.7
11.7
11.7
11.2
13.9


19.5
17.0
15.3
15.3
14.0
14.2
13.3


17.0
15.3
14.0
14.0
14.0
14.3
13.1
13.1
13.1
13.1
13.1
13.1
13.4
12.4
12.4
Sepn.
%
53.1
53.1
90.5
13.1
27.6
27.6
27.6
55.2
55.2 .
82.6
82.6
74.8
90.2
11.2
26.0
26.0
24.8
71.0


44.5
45.9
47.7
46.7
47.8
34.7
17.8


27.8
29.5
34.1
46.0
31.7
53.3
36.1
44.3
42.1
58.9
36.6
40.1
39.5
21.5
37.1

Solute
Dipropyl ketone
Diisopropyl ketone
Acetophenone
Dibutyl ketone
Diisobutyl ketone
Benzyl methyl ketone
Ftfpre
L-dlCi «

Methyl acetate
Ethyl acetate
Methyl propionate
n-Propyl acetate
2-Propyl acetate
Ethyl propionate
Methyl butyrate
Methyl 2-methyl-propionate
n-Butyl acetate
2-Methyl-1-propyl acetate
2-Propyl propionate
Ethyl butyrate
Ethyl 2-methyl-propionate
Methyl pentanoate
Methyl 2-methyl-butyrate
Methyl 3-methyl-butyrate
2-Methyl-1 -butyl acetate
3-Methyl-l-butyl acetate
n-Butyl propionate
2-Propyl butyrate
2-Propyl 2-methyl-propionate
Ethyl pentanoate
Ethyl 2-methyl-butyrate
Ethyl 3-methyl-butyrate
Methyl caproate
Methyl 4-methyl-pentanoate
n-Hexyl acetate
n-Butyl butyrate
Ethyl caproate
Methyl heptanoate
2-Propyl caproate

Ethers
Methyl propyl ether
Methyl isopropyl ether
Methyl butyl ether
kxlO4
cm/s
12.4
12.4
12.5
11.4
11.4
11.9


16.3
14.8
14.8
13.7
13.7
13.7
13.7
13.7
12.9
12.9
12.9
12.9
12.9
12.9
12.9
12.9
12.2
12.2
12.2
12.2
12.2
12.2
12.2
12.2
12.2
12.2
11.6
11.6
11.6
11.6
11.2


14.9
14.9
13.8
Sepn.
%
41.6
4 rt 1
49.3
Aft f*
20.6
46.8
59.2
24.7


12.4
16.0
14.3
20.4
27.7
16.2
20.5
27.7
22.1
35.4
31.0
23.0
31.0
22.1
41.4
35.4
47.1
22.5
25.2
41.2
51.3
25.2
45.6
39.5
12.3
22.6
6.4
34.5
14.2
6.4
27.9


42.9
56.3
46.0
                                                 (continued)

-------
                                          APPENDIX 1 (continued).

Solute
Ethyl propyl ether
Ethyl isopropyl ether
Methyl amyl ether
Ethyl butyl ether
Ethyl t-butyl ether
Oipropyl ether
Oiisopropyl ether
Ethyl amyl ether
Isopropyl t-butyl ether
Anisole
Dibutyl ether
Diisobutyl ether
Phenetole

Carboxylic acids
Acetic acid*
Propionic acid*
n-Butyric acid*
i-Butyricacid*
Valeric acid*
Pivalkacid*
Cyclohexane-carboxylic acid*
Benzoic acid*
Phenylacetic acid *
m-Toluic acid*
Anisic acid*
(3-Phenylpropionic acid*
4-Phenylbutyric acid*
Oxalic acid *
Malonic acid*
Succinic acid*
Lactic acid*
D,L-Malicacid*
kxlO4
em/s
13.8
13.8
12.9
12.9
12.9
12.9
12.9
12.2
12.2
13.6
11.6
11.6
12.7


17.0
15.1
13.7
13.7
12.7
12.7
12.0
12.8
12.0
12.0
11.7
11.4
10.8
15.8
14.4
14.0
14.4
12.6
Sepn.
%
47.7
60.8
29.6
51.3
90.9
62.3
82.4
33.7
96.7
21.5
67.2
911
24.8


28.2
29.4
30.9
30.5
32.3
65.2
53.9
22.2
23.2
22.3
23.8
24.1
25.7
95.6
66.3
56.9
79.0
89.1

Solute
Tartaric acid*
Citric acid*

Polyfunctional compounds
1,2-Ethanedoil
1,3-Propanediol
Propylene glycol
Gtycerol
1,3-Butanediol
2,3-Butanediol
i-Erythritol
3-Hydroxy-2-butanone
1,5-Pentanediol
Arabitol
Xylitol
Adonitol
L-Arabinose
1,6-Hexanediol
cis- and trans-1,2-cyclohexanediol
trans-1,2-Cyclohexanediol
1,2,6-Hexanetriol
Pinacole
D-Sorbitol
Dulcitol
4-Hydroxy-4-methyl-2-pentanone
Acetonyl acetone
D-Glucose
D-Mannose
D-Galactose
D-Fructose
Sucrose
Maltose
Lactose
kxlO4
cm/s
12.3
10.9


17.9
16.0
16.0
15.5
14.5
14.5
13.9
15.0
13.5
12.7
12.7
12.7
13.0
12.7
13.5
13.5
12.5
12.7
11.9
11.9
13.0
13.3
12.1
12.1
12.1
12.1
9.0
9.0
9.0
Sepn.
%
97.0
98.3


66.1
68.2
72.4
85.5
74.1
77.8
95.0
58.2
71.9
98.4
98.4
98.4
97.9
55.5
89.2
89.2
89.0
97.8
99.5
99.5
84.4
39.6
99.3
99.3
99.3
99.3
99.9
99.9
99.9
                                                                                          (continued)
•Separations data correspond to solute concentrations in feed = 200 ppm. See also NOTE at the end of Appendix.

-------
                               APPENDIX 1 (continued).

     (b) CALCULATED DATA ON REVERSE OSMOSIS SEPARATIONS OF DIFFERENT SOLUTES
                  FOR THE PPPH-8273 MEMBRANE SPECIFIED IN TABLE 7
Operating conditions: very dilute feed solutions; Operating pressure: 405 psig; kNaCJ = 20 x 10   cm/s

Solute
NaCI

Inorganic Solutes
CsBr
CsCI
Csl
LiBr
LiCI
UF
Li I
KBr
KCI
KF
Kl
RbBr
RbCI
Rbl
NaBr
NaF
Nal

Alcohols
Methanol
Ethanol
1-Propanol
2-Propanol
1-Butanol
2-Butanol
2-Methyl-1-propanol
2-Methyl-2-propanol
1-Pentanol
3-Methyl-1-butanol
3-Hexanol
2-Methyl-l-pentanol
3-Methyl-1-pentanol
4-Methyl-1-pentanol
3-Methyl-2-pentanol
2-Methyl-3-pentanol
3,3-Dimethyl-2-butanol
1-Heptanol
kxlO4
cm/s
20


23.6
23.5
23.5
18.0
17.9
16.5
18.0
23.3
23.0
20.6
23.1
23.7
23.5
23.5
20.1
18.3
20.0


22.6
18.7
16.5
16.5
15.0
15.0
15.0
15.0
13.9
13.9
13.0
13.0
13.0
13.0
13.0
13.0
13.0
12.3
Sepn.
%
98.4


95.6
95.6
95.6
98.1
98.1
98.5
98.1
95.8
95.7
98.8
95.8
95.7
95.7
95.8
98.4
98.8
98.4


25.3
70.0
80.2
87.0
83.9
91.5
86.9
98.7
89.4
94.6
94.7
94.8
94.5
95.9
97.1
98.4
97.9
92.6

Solute
2-Heptanol
3-Heptanol
4-Heptanol
2-Methyl-3-hexanol
4-Methyl-3-hexanol
3-Methyl-3-hexanoi
2,4-Dimethyl-3-pentanol
2,2-Dimethyi-3-pentanol
1-Octanol

Aldehydes
Acetaldehyde
Propionaldehyde
n-Buty raided yde
i-Butyraldehyde
i-Valeraldehyde
Benzaldehyde

Ketones
Acetone
Methyl ethyl ketone
?* Ppnt ft n n n P
c. rciiioiiuiic
Methyl isopropyl ketone
3-Pentanone
Cyclopentanone
Methyl isobutyl ketone
Cyclohexanone
Diisopropyl ketone
Acetophenone
Diisobutyl ketone
Benzyl methyl ketone

Esters
Methyl acetate
Ethyl acetate
Methyl propionate
n-Propyl acetate
2-Propyl acetate
Ethyl propionate
Methyl butyrate
kxlO4
cm/s
12.3
12.3
12.3
12.3
12.3
12.3
12.3
12.3
11.7


19.5
17.0
15.3
15.3
14.0
14.2


17.0
15.3
id n
l*t.U
14.0
14.0
14.3
13.1
13.4
12.4
12.5
11.4
11.9


16.3
14.8
14.8
13.7
13.7
13.7
13.7
Sepn.
%
97.8
97.2
96.2
98.6
97.2
99.1
97.6
98.4
90.8


64.3
72.2
87.0
93.2
96.8
75.0


64.6
71.9
RR S
Ou.3
93.0
78.4
89.9
94.2
95.3
98.4
74.5
99.6
87.8


81.6
86.3
86.4
93.3
96.1
89.8
93.3
                                                                          (continued)

-------
                                              APPENDIX 1 (continued).

Solute
Methyl 2-methyl propionate
n-Butyl acetate
2-Methyl-1-propyl acetate
2-Propyl propionate
Ethyl butyrate
Ethyl 2-methyl-propionate
Methyl pentanoate
Methyl 2-methyl-butyrate
Methyl 3-m ethyl butyrate
2-MethyM-butyl acetate
3-Methyl-1-butyl acetate
n-Butyl propionate
2-Propyl butyrate
2-Propyl 2-methyl-propionate
kxlO4
cm/s
13.7
12.9
12.9
12.9
12.9
12.9
12.9
12.9
12.9
12.2
12.2
12.2
12.2
12.2
Sepn.
%
96.1
94.7
97.9
97.2
95.1
97.2
94.7
98.6
97.9
99.1
94.8
96.3
98.7
99.3

Solute
Ethyl pentanoate
Ethyl 2-methyl-butyrate
Ethyl 3-methyl-butyrate
Methyl 4-methyl-pentanoate
n-Butyl butyrate

Ethers
Ethyl butyl ether
Ethyl t-butyl ether
Dipropyl ether
Diisopropyl ether
Isopropyl t-butyl ether
Anisole
Phenetole
kx104
cm/s
12.2
12.2
12.2
12.2
11.6


12.9
12.9
12.9
12.9
12.2
13.6
12.7
Sepn.
%
96.3
99.0
98.6
93.5
98.3


93.5
99.0
96.1
98.7
99.7
79.2
84.7
 NOTE: Data on solute separations calculated above assume that, In each case, water is preferentially sorbed at the membrane-solution
        interface during reverse osomosis. Available knowledge on precise physicochemical criteria on preferential sorption at interfaces
        is still incomplete (3).
 Nomenclature
 C, Cf, Cj, Cy ^
 D
  AB
 DAM/K6
 AAF*
 f
 f
 AG
 AGB,AG,
 AAG
 -AAG/RT   =
 n           ss
 k
 MA, MB
 m

 na, nc

 nipa, nipc
 P
PR
PWP
  pure water permeability constant, g-mol of H20/cm2s atm
, C§ and C3 =  concentration ratios defined by eq. (32), (33), (34), (35), (36), (37), (38), and (39) respectively
  quantity defined by eq. (17)
  molar density of solution, g-mol/cm3
  diffusivity of solute in water, cm2/s
  solute transport parameter (treated as a single quantity), cm/s
  Taft's steric constant for the substituent group in the organic molecule
  transition state free energy change
  fraction solute separation defined by eq. (14)
  average value of f
  free energy of hydration of solute, kcal/g-mol
  value of AG for the bulk solution phase and membrane-solution interface respectively
  quantity defined by eq. (1)
 polar free energy parameter
 membrane area per unit volume of fluid space, cm ~J
 mass transfer coefficient for the solute on the high pressure side of the membrane, cm/s
 molecular weights of solute and water respectively
 solute molality
 solute flux and solvent flux respectively through membrane, g-mol/cm2s
 number of moles of anion and cation respectively in one mole of ionized solute
 number of moles of hydrolyzed species arising from the hydrolysis of one mole of solute
 number of moles of anion and cation respectively in one mole of ion-pair
 operating pressure, atm
 product rate through given area of membrane surface, g/h
 pure water permeation rate through given area of membrane surface, g/h

-------
R           =   gas constant
S           =   effective membrane area, cm2
s*. Es*      =   modified Small's number, cal'^cc'^g-mol"1
As*          =   quantity defined by eq. (5)
T           =   absolute temperature
t            =   time, s
F°           -   average fluid velocity at membrane entrance, cm/s
V?          -   initial volume of feed solution on the high pressure side of membrane, cm3
vs           «=   permeation velocity of product solution, cm/s
vw          =   permeation velocity of solvent water, cm/s
vj          =   pure water permeation velocity, cm/s
X           =   quantity defined by eq. (40)
XA          =   mole fraction of solute
x           =   longitudinal length of feed flow, cm
Z           =   quantity defined by eq. (49)
Greek Letters

aD
aH


&

y
A
mA*
8*
e
degree of dissociation
degree of hydrolysis
nonpolar and polar parameters respectively characterizing polymer membrane materials
a parameter characterizing polymer membrane material, representing affinity of polymer material for nonion-
ized polar organic solutes relative to that for an ionized inorganic solute
quantity defined by eq. (28)
structural group contributions to AGB and AG, respectively
constants in eq. (2) and (3) respectively
fraction product water recovery
quantity defined by eq. (22) when polar, steric and nonpolar parameters are each set equal to zero
coefficient associated with steric constant EEs
quantity defined by eq. (29)
osmotic pressure of solution corresponding to mole fraction XA of solute, atm
quantity defined by eq. (41)
structural group contribution to (S*£Es),jm
constant in eq. (4)
coefficient associated with modified Small's number £s*, cal"l/! cc~ 1/!g-mol
Subscripts
1 = bulk feed solution
2 = concentrated boundary solution on the high pressure side of membrane
3 = membrane permeated product solution on the low pressure side of membrane

Superscript
o = initial value, or value at membrane entrance
                                                       106

-------
       HYPERFILTRATION OF N ON ELECTROLYTES: DEPENDENCE OF
                   REJECTION ON  SOLUBILITY PARAMETERS

                                H. G. Spencer, J. L. Gaddis*
Abstract

  The dependence of rejection of nonelectrolyte
solutes  in  single-solute  water solutions on
solubility parameters is  demonstrated  using
data from previously reported hyperfiltration
studies. Solubility  parameters characterizing
the hyperfiltration systems are evaluated and a
procedure  for  estimating   the  rejection  of
solutes  from their solubility parameters  is
described.

SUMMARY

  The dependence  of hyperfiltration rejection
of nonelectrolyte solutes in single-solute water
solutions on solubility  parameters is demon-
strated  using hyperfiltration results reported
in the literature. The hyperfiltration systems
are characterized  by a solubility  parameter
derived empirically  from the rejection-solu-
bility parameter dependence. A criterion for
high rejection follows.

INTRODUCTION

  Hyperfiltration possesses  high potential for
separating toxic solutes in industrial unit oper-
ation  effluents (ref. 1). Some  of the nonelectro-
lytes of concern are quite volatile and many are
only slightly soluble in water. Thus, the direct
experimental measurement  of the  salt rejec-
tion R. of the approximately 100 nonelectrolyte
priority pollutants would be difficult and a reli-
able method for predicting R. in a hyperfiltra-
tion system from  a  few reference measure-
ments and molecular properties of the solutes i
would be valuable.
  The most detailed model developed for this
purpose has been provided by Sourirajan and
coworkers (ref. 2). Using one or more molecular
  *Departments of Chemistry and Mechanical Engineer-
  ing, respectively, Clemson University, Clemson, SC.
properties (acidity, basicity, Hammett and Taft
numbers, steric parameters, and Small's num-
ber) and the permeability and  rejection  of a
reference solution, one can relate these prop-
erties to R.. Other models use flux equations to
relate  the measurable properties of a  hyper-
filtration system  (refs. 3,4). All approaches in-
clude both a transport property of the  hyper-
filtration  system and a coefficient for the
distribution of the  solute between the bulk
solution and the barrier.
  We have previously pointed out the value of
solute  molecular  weights in predicting R. of
nonelectrolytes (ref. 1). Most  high rejection
hyperfiltration membranes effectively  reject
nonelectrolytes  with molecular weights
greater than about 80. Cellulose acetate is an
exception to this generalization. Although scat-
ter can be large in plots of rejection vs.  molec-
ular weights, when the molecular weight is the
most reliable  or  perhaps the only molecular
property available it can be used to estimate R.
in systems characterized by a  few measure-
ments.
  This report demonstrates a dependence of R.
for nonelectrolytes on the  solute  solubility
parameter introduced by Hildebrand and Scott
(ref. 5) and  characterizes the  hyperfiltration
systems by solubility parameters. It also pro-
vides an empirical method for the rough esti-
mation of R. for  a solute of known solubility
parameter in  a  hyperfiltration system from
values of R.  obtained for  a  few  reference
solutes without explicitly considering a trans-
port property for the solute,  providing its
molecular volume is  not vastly larger than
those of the reference solutes.
  Chian  and Fang (ref. 6)  proposed the dif-
ference between  the solubility parameters of
the solute and membrane plays the major role
in determining R. of nonelectrolyte solutes.
Klein et al. (ref. 3)'qualitatively related solute
permeabilities in the absence of hydraulic flux
with 2-dimensional solubility parameters and
used the experimental permeabilities to pre-
                                             107

-------
diet  specific separations  of organic  solutes
under hyperfiltration  conditions.  A  quan-
titative correlation of R. with solubility param-
eters was not attempted in either report.

DEFINITIONS, CONCEPTS, AND
CALCULATIONS

  The solubility parameter is  defined  by  <5 =
(AE/V)I/2  where AE/V  is the  energy  of
evaporation per  unit volume,  called  the
cohesive energy density.  The  units of <5 are
(J/m3)1^.  Solubility  parameter theory predicts
that the  best solvent for a given solute, e.g., a
polymer, is one whose solubility parameter is
equal to  or close to that of the solute (ref. 5).
  The rejection R.  of a solute is defined  as
1 - Cp/Cb, where Cp and Cb are  concentrations
in the permeate and bulk feed solutions respec-
tively. An  intrinsic rejection, 1  - CP/CW) based
on the concentrations of permeate and that oc-
curring at  the  feed-membrane interface Cw is
commonly  defined. Normally the intrinsic re-
jection  is  projected  as the infinite-velocity
asymptote of the rejection R. , and this intrin-
sic  rejection  is the  property logically  ad-
dressed in  this study.  Because  most investiga-
tions are conducted so as to preclude large dif-
                              ferences in the two rejections, and virtually no
                              data exist projecting the  intrinsic rejection,
                              the observed rejection is used throughout. Er-
                              rors produced by this simplification  may  be
                              substantial and are largest near rejections of
                              0.5.
                                In hyperfiltration the distribution of solute
                              between the bulk' solution and  the barrier is
                              assumed to be important  in determining R..
                              Further, assuming the concentration of solute
                              available for transport across the  hyperfilter
                              depends on   Ajm = 6j - 6m, where <5m  char-
                              acterizes the hyperfilter, R. should be a func-
                              tion of A;m. Of course, an attempt to relate R. to
                              A;m alone is  incomplete  because a transport
                              property  characterizing the  hyperfiltration
                              system is not explicitly included.
                                The group contribution method of Konstam
                              and Fairheller (ref. 5) was used to calculate
                              Small's  number (ref. 8) S, and the 6; were ob-
                              tained  by 5j = S{/v"j where  vj  is  the molar
                              volume. This method is used although tables
                              containing  6j for many  solutes  are available
                              (refs. 5,9). It is desirable to use a  consistent
                              method  for as many compounds as possible.
                              Even  with the  use  of this general approach
                              some values of 6; are not available, especially
                              those for polyfunctional molecules. Values of  vj
                      TABLE 1. CHARACTERISTICS OF HYPERFILTRATION SYSTEMS
    Membrane
Pressure
 (MPa)
                                   Temperature
ID"3 6m
 (J/m3)%
Classes of solutes
Reference
Aromatic polyamide        1.72

Aromatic polyamide,
Permasep B-9, hollow
fiber                   3.10'
Cellulose acetate           1.72
Cellulose acetate           1.72
NS-100                  5.52
Polyfether/amide)
PA-300                  6.89
                 25
                 20
                 25
                23-25
                 25
                 25
  29.0         Alcohols, aldehydes,         11
              ethers, ketones
  30.0         Alcohols, acids             12
  25.0         Alcohols, aldehydes         11
  25.0         Alcohols, aldehydes,         15
              esters, ethers, hydro-
              carbons
  34.5         Acids, alcohols, aide-         13
              hydes, esters, ketones,
              amines

 (~34) *        Acid, alcohols, aide-         14
              hydes, esters, ketone,
              chlorohydrocarbons
   tpjot enough data for extrapolation.
                                              108

-------
were calculated by dividing molecular weight
of the solute M; by its density ei in the liquid
state at the temperature  of the experiment,
with Mj and Q{ obtained from commonly used
tables (ref. 10).

DEPENDENCE OF REJECTION ON
SOLUBILITY PARAMETERS

   Figures 1 through 5 show the dependence of
R. on 6;  for the six hyperfiltration  systems
described in Table  1 (ret's.  11,12,13,14,15). The
8j occurring at R.  =  0  is assumed to be the
solubility parameter characterizing the mem-
brane system and  is designated 6m. The 6m
values were obtained by a visual linear extrap-
olation of the plots. A slope  of  -10  x 10'3
(m3/J)'/z was satisfactory for all graphs  in the
region A;m < 0. Insufficient data are provided
to determine  5m  by  extrapolation in  the
polylether/amide) thin film  composite  (PA-300)
system, Figure 4. Using the slope observed in
the remainder of the graphs, 6m should be in
the interval 34 x 103 < dm < 36 x 103(J/m3)'«.
It should be noted that the scatter is very large
in the cellulose acetate systems.
  In the Permasep B-9 and cellulose  acetate
systems (see Figures 2 and 5), several values of
R. at Aim > 0 are available. It is clear in Figure
2 that R. increases monotonically with increas-
ing Jkim in the region \m > 0. The dependence
is not well defined in the cellulose acetate case
where  in this region several  of the  solutes
listed contain two functional groups and the
calculation of 6; is less reliable.
  The molecular weight, or  vj, may be used to
estimate R. in many  systems,  however this
dependence appears  to be  absent   in  the
cellulose acetate system. Figure 6 is provided
to illustrate this observation and it should be
compared with Figure 5, where the R. values
are plotted vs. o,.

DISCUSSION

  The dependence  of R. on fy has been il-
    I.O,-//-
    .8
  o
  s
  3.4
    .2-
                     0°0
    oL//
      ^
                   18         20        22        24        26        28        30        32
                              SOLUBILITY PARAMETER I0~3 S\ (J/m3)l/2

                                  Polyamide Membrane,  1.72 MPa, 25°C

Figure 1. Solute rejection vs. solubility parameter: Polyamide membrane, 1.72 MPa, 25° C (ref. 11).

                                             109

-------
  1.0
   .6
 z
 o
 UJ  .
 (T .4
   .2
   OL//
    n/'
                      O   O
 18        20   '    22       24        26        28       30        32

                        SOLUBILITY PARAMETER 10* 
-------
     .8
     .6
   z
   a:
     .4
     .2
                       O
                     O          O
                                                o
                                                O
          Jf—L
       _L
_L
±
J_
J_
             16
18    20    22    24   26     28    30   32    34
   SOLUBILITY  PARAMETER  IO"3  S\  (J/m3)l/2
                                        36    38
                                     PA - 300, 6.89 MPa, 25°C
              Figure 4. Solute rejection vs. solubility parameter: poly(ether/amide),
                              PA-300, 6.89 MPa, 25° C (ref. 14).
lustrated in several hyperfiltration systems. It
is  evident that high rejection  occurs when
 \m is large. Figure 7 provides a graph of R;
vs. Ajm for all the membranes other than the
cellulose acetate membranes and Figure 5 pro-
vides a graph of R. vs.  6j for  the cellulose
acetate systems, where the scatter is greater.
  This empirical treatment of rejection of non-
electrolytes  in hyperfiltration systems also
provides a method for estimating R. for any
solute of known  6; from a few reference ex-
periments. The value of hm is determined from
a graph of R. vs.  fy obtained for the reference
                             solutes.  Solutes  having  .Ajm < -10 x  IO3
                             (J/m3)1/z should have R. > 0.90. In the region
                             -10 x 103 < Aim 
-------
    •Or//
    .8
    .6
 o
 ui
 -3
 UI  „
 or .4
    .2
             14     16     18    20    22    24    26     28     30

                  SOLUBILITY PARAMETER  IO"3  S\ (J/m3)l/2

                            Cellulose Acetate, 1.72 MPa,  23-25°C

              Figure 5.Solute rejection vs. solubility parameter: cellulose acetate,
                            1.72 MPa, 23-25° C (refs. 11, 15).
                              32    34
are much smaller. Hyperfiltration systems
with 6m greater  than 36 x 1Q3 or 38 x 103
(J/m3)l/z should provide high rejections of these
solutes.
  Refinement of this approach using solubility
parameters as  a  measure of the membrane-
solute interaction  will likely require incorpora-
tion in a flux model.
ACKNOWLEDGMENT

  The authors wish to acknowledge the gen-
erous financial support of this work by the U.S.
Environmental Protection Agency, Industrial
Environmental  Research  Laboratory,  Re-
search Triangle Park, NC, EPA Grant Number
R805777-1.
                                         112

-------
   1.0
   .8
   .6
   .4
 (£
   .2
                                      _L
   e
   o
                                                     o
                                                     o
                                                           o
                                                           o
0       C
o o    o
  00   o
00    °
                                                       o
                                                      0°
                                                          °0
                      o o



                       o

                       o
               D°  O  O
                o       o
                      JL
     0         20         40         60        80         [00120         I40
                                      MOLECULAR WEIGHT Mj

                                    Cellulose Acetate,  1.72 MPa, 23-25°C

   Figure 6. Solute rejection vs. molecular weight: cellulose acetate, 1.72 MPa, 23-25° C (ref. 15).
REFERENCES

 1.  H. G. Spencer, J. L. Gaddis, and C. A. Bran-
    don, "Membranes for Toxic Control," pre-
    sented at the Membrane Separation Tech-
    nology  Seminar,  Clemson  University,
    Clemson, SC, 1977.
 2.  S. Sourirajan and T. Matsuura, "Reverse
    Osmosis and Synthetic Membranes," S.
    Sourirajan, ed., National Research Coun-
    cil of Canada Publications, Ottawa, Cana-
    da, Chapter 2, 1977.
 3.  K. S.  Spiegler and 0. Kedem, Desalina-
    tion, Vol. 1, p. 311, 1966; H. K. Lonsdale,
    U. Merten,  and  R.  L. Riley, J. Appl.
    Polymer Sci, Vol. 9, p. 1341, 1965; and L.
    Dresner and J. S. Johnson, Jr., Principles
    of Desalination, 2nd  ed.,  K. S.  Spiegler
       4.
       6.
       7.
    and A. D. K. Laird, eds., Academic Press,
    New York, in press.
    E. Klein, J.  Eichelberger, C. Eyer, and J.
    Smith, Water Res., Vol. 9, p. 807, 1975.
    J. H. Hildebrand and  R. L. Scott, "The
    Solubility of Nonelectrolytes," Rheinhold,
    New York, 1950.
    E. S. K. Chian and H. H. P. Fang, AIChE
    Symposium  Ser., Vol. 70, p. 497, 1973.
    H. H. Konstam and W. R. Fairheller, Jr.,
    AIChE J., Vol. 16, p. 837, 1970.
8.   P. A. Small, J. Appl. Chem., Vol. 3, p. 71,
    1953.
9.   J. L. Gordon, Encyclopedia of Polymer
    Science and  Technology, Vol. 3, p. 833,
    1965; H. Burrell, J. Paint Technol.,Vo\. 27,
    p. 726, 1955; C.  M. Hansen, Ind. Eng.
    Chem., Prod.  Res. Dev.,Vo\. 8, No. 2,1960.
                                            113

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    0
    -18
-16   -14   -12   -10    -8    -6   -4    -2      0   +2    +4   + 6
     RELATIVE SOLUBILITY PARAMETER  I0~3 A im  (J/m3)172

                         Noncellulosic Membranes

   Figure 7. Solute rejection vs. relative solubility parameter Aim = 8i - 5m
                     for the noncellulosic membranes.
                                                                                      + 8
10.  Handbook of Chemistry  and Physics,
     R. E.  Weast, ed.,  CRC  Press,  Inc.,
     Cleveland, OH.                              14.
11.  J. M. Dickson, T. Matsuura, P. Blais, and
     S. Sourirajan, J. Appl. Polymer Sci., Vol.
     19, p. 801, 1975.
12.  V. B. Caraceiolo, N. W. Rosenblatt, and V.
     J. Tomsic, "Reverse Osmosis and  Syn-
     thetic  Membranes,"  S. Sourirajan, ed.,
     National Research Council of Canada, Ot-        15.
     tawa, Canada, Chapter 16,1977.
13.  L. T. Rozelle, J. E. Cadotte, K. E. Cobian,
     and C. V. Kopp, Jr., "Reverse Osmosis
     and Synthetic  Membranes,"  S. Sourira-
    jan, ed., National  Research Council  of
                                          Canada, Ottawa,  Canada, Chapter  12,
                                          1977.
                                          R. L. Riley, R. L. Fox, C. R. Lyons, C. E.
                                          Milstead, M. W. Seroy, and M. Togami,
                                          "Spiral-wound  Poly (ether/amide)  Thin-
                                          film Composite Membrane Systems," pre-
                                          sented at the Membrane Separation Tech-
                                          nology   Seminar,  Clemson University,
                                          Clemson, SC, 1976.
                                          T. Matsuura and S. Sourirajan, J. Appl.
                                          Polymer Sci., Vol.  15, p. 2905, 1971; J.
                                          Appl. Polymer Sci., Vol. 16, pp. 1663 and
                                          2531, 1972; J. Appl.  Polymer Sci., Vol. 16,
                                          pp. 1043 and 3683, 1973.
                                          114

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    SEPARATION OF TOXIC SUBSTANCES BY HYPERFILTRATION*

                             J. Leo Gaddis, H. Garth Spencerf
Abstract

  Experiments have been run to determine the
separation of toxic substances in textile water
streams when subjected to hyperfiltration. The
data indicate a high level of separation of toxic
substances  by  hyperfiltration.  Three mem-
branes of commercial significance were tested:
cellulose acetate, poly  (ether/amide) thin film
composite,  and the dynamic membrane.  The
membranes  were  exposed to textile streams
from mild caustic scouring and from dyeing of
cotton. Data regarding  the separation of priori-
ty pollutants are presented according to chemi-
cal analysis  of samples. Also  presented are
data from biological testing with fathead min-
nows and daphnia. Acute rat toxicity, hamster
ovary  clonal assay, and Ames  tests are in-
cluded. Separation in LC50 from a level of 55 to
100 percent is produced in actual textile test
fluids.

INTRODUCTION

   Hyperfiltration  membranes may have  the
capability of separating toxic  substances in
textile process water. The literature contains
 measurements of membrane rejections of ionic
 and nonionic materials, but there are only a
 few data on the rejection of toxic pollutants ex-
 cept for metals. This program was initiated to
 determine  the  separation  characteristics  of
 membranes for process stream toxicity (deter-
 mined  from  bioassay) and  for toxic pollutants
 (determined by analysis).
   Toxic materials that enter a process stream
 may have various  origins. Field-applied agri-
 cultural chemicals  on cotton, spinning oils on
 synthetics,  warp   size  chemicals  on  cotton
 woven goods, and preparation and dyeing solu-
 tions are examples. The  fluids selected  for
  *Work sponsored by EPA Grant 805777, Dr. Max Sam-
  Afield, Project Officer.
  'Departments of Mechanical Engineering and  Chem-
   istry, respectively, Clemson University, Clemson, SC.
study were from preparation and dyeing of cot-
ton goods. Three membranes were selected:
cellulose acetate (CA), poly ether/amide (PEA),
and  a dynamic zirconium  oxide/poly  acrylic
acid  membrane (DM). The basis for selection
was  reasonable expectation of applicability to
industrial streams and commercial availability.

TEST DESCRIPTION

  Figure 1 shows a schematic of the fluid col-
lection and test apparatus. Fluid from the sec-
ond  washer of the range was pumped to the
test  apparatus. Prior experience indicated the
fluid to be representative of the average  fluid
from the range, not the highest nor lowest con-
centration of the individual streams emanating
from the range. The fluid was prefiltered using
a i-(i polypropylene cartridge filter for removal
of suspended materials, except for the dynamic
membrane runs where prefiltration is  not re-
quired.
  An initial feed volume of about 600 liters was
pressurized in a  plunger pump  to feed the
membranes. The membrane feed was concen-
trated slightly by the membrane as it passed
through the assembly. The concentrated feed
was  returned to the feed reservoir, and the
permeate(s) collected in separate containers.
The  original feed  was thus gradually dimin-
ished in volume until 10 to 20 percent of  its
original volume was remaining. This residual
comprised the concentrate fluid. A straightfor-
ward excercise indicates that this procedure
produces  permeate and concentrate samples
equivalent to those  expected in a prototype
unit.
  Four tests were run: (1) PEA and CA simul-
taneously  operating on  dye  fluid, (2) DM
operating on dye fluid, (3) PEA and CA simulta-
neously operating on scour fluid,  and (4) DM
operating on scour fluid. Feed, permeate, and
concentrate samples were taken on each run.
In addition, samples were taken for chemical
analysis of the plant supply water and  for
water passed through the range and circulated
in the apparatus.
  The scour-fluid known chemicals are the
                                             115

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               CLOTH FLOW
 DYE
I PAD
  JET WASHER
 COLLECTION
    PAIL
 CARTRIDGE FILTER
     SKID
     MOUNTED
     PUMP STATION
          APPROXIMATELY
           40 METERS
                    FEED TANK
                           _L
   FEED
    OR
CONCENTRATE
  SAMPLE
                                     PERMEATE
                                     BARREL
   JPERMEATE
E  f SIPHON
                 PERMEATE
                 FANK
                                                                                 PERMEATE DRAIN
                      Figure 1.  Schematic of fluid acquisition and operations.
                                               116

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warp size removed in the scour, a detergent/
wetting agent, hydrogen peroxide, and sodium
carbonate. Residuals of field chemicals, motes
on the cotton fiber, and natural oils and waxes
may also be present. The dye fluids contain a
thickener (gum), two detergent/wetting agents,
and a particular mixture of direct dyes.

RESULTS

  In general, all membranes performed accord-
ing  to  expectations.  Rejection  (fraction re-
moved)  of color was nearly perfect (>99 per-
cent); rejection of total solids averaged 94 per-
cent (88 to 98 percent); and rejection of conduc-
tivity averaged 95 percent (85 to 99 percent).
Analyses  for specific toxic organic and  metal
compounds were  performed by Monsanto Re-
search  Corporation under a  separate  grant
with EPA. The detailed results are contained
in the project final report (ref. 1) and are sum-
marized here. Only 19 organic compounds were
sensed;  the highest concentration was below
300 mg/m3. Analysis in this low concentration
range is not expected to be more than modest-
ly accurate, effectively  precluding  a mean-
ingful calculation  of rejection.
 However, it appears that chloroform, toluene,
 trichloroethylene,  and  methylene  chloride
 were not effectively rejected. Phenol and di-n-
 Butyl phthalate showed  a mixed tendency to
 be rejected. The other compounds were shown
 to  be   rejected  and  are:  bis(2-ethylhexl)
 phthalate,   dimethyl  phthalate,  butylbenzyl
 phthalate, diethyl phthalate, acenaphthene, an-
 thracene, fluoranthene, pyrene, naphthalene,
 phenanthrene,  chlorobenzene,  and  ethylben
 zene. The basis for rejection, or no rejection,
 for all the above is relatively weak. Some of tho
 compounds  may have vaporized, others  may
 have  been  coated on  the  apparatus surfaces,
 and still others may have been rendered nonex
 tractable for analysis. Mass balances of solutes
 were  mostly poor.
  Toxic metals were also present only in low
 concentration.  Adequate  concentrations tor
 analysis  of only arsenic,  copper, and zinc oc-
 curred. All  these metals were  rejected well.
 Arsenic  (one  point  has  rej>69)  rejection
 averaged 89 percent, copper averaged 97  per
 cent,  and zinc  100 percent. Other nontoxic
metals were analyzed  and showed high rejec-
tion.
  Rat acute toxicity and  microbial mutagen-
              TABLE 1. LETHAL CONCENTRATION AND IMPLIED TOXICANT CONCENTRATIONS
Fluid and type
Dye-feed
Dye-pea permeate
Dye-CA permeate
Dye-concentrate
Dye-feed
Dye-DM permeate
Dye-concentrate
Scour-feed
Scour-pea permeate
Scour-CA permeate
Scour-concentrate
Scour-feed
Scour-DM permeate
Scour-concentrate

Sample
no.
10
11
12
13
14
15
16
3
4
5
6
7
8
9
96-h minnows
I-CBO
% solution
9.7
82
>100
1.6
25
NAT
5.3
16
28
>100
1.5
13
NAT
2.0
48-h daphnia
Implied
concentration
no. units
10
1.2
<1
62
4
0
19
6
3.6
<1
67
7.7
0.0
50
LC50
% solution
33.5
60 to 100
60 to 100
4.1
49
80
17
26
53
42
5.1
25
>100
9.9
Implied
concentration
no. units
3.0
1 to 1.7
1 to 1.7
24
2.0
1.2
5.9
3.8
1.9
2.4
20
4
1
<10
                                            117

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              TABLE 2. REJECTION OF TOXICITY BY HYPERFILTRATION
Membrane
Scour fluid
Dynamic ZrO/PAA
Cellulose acetate
Poly ether/amide
Dye fluid
Dynamic ZrO/PAA
Cellulose actate
Poly ether/amide

Daphnia toxicant

>88
55
68

60
62 to 82
62 to 82
% Rejection
Fathead minnow toxicant

100
>92
60

100
>96
95
                                      SCOUR  DYE
                                          o    °   48 HOUR

                                          •    •   24 HOUR
                              40    50     60    70    80    90   100

               CONCENTRATION (rjP) TO DAPHNIDS
                              LC50

Figure 2. Correlation of concentration toxic to fathead minnows with concentration
                            toxic to daphnids.
                                  118

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icity bioassays showed  no  effect.  Hamster
ovary clone cytotoxicity showed effects on the
concentrate  samples  only. Results  of  acute
studies with daphniids and fathead  minnows
showed consistent, interesting results. Table 1
shows the results obtained for LC5o(concentra-
tion of sample in  water was lethal to half the
test subjects) at 96 hours for minnows and 48
hours for daphniids. Also shown in the table is
the corresponding value  of 100/LC50, which is
the number proportional to the concentration
for the toxicant in the sample. Use of this im-
plied concentration allows calculation of mass
balance of toxicant and rejection of toxicant by
regular  procedures.  It is acknowledged that
such a calculation may oversimplify  the prob-
lem.
   Using  the  implied concentrations for  the
four test runs allows mass balances of toxicant
to be calculated  as  0.95, 1.28, 1.55, and 1.17
(minnow  data),  and  1.16,  1.23, 1.08, 0.65
(daphniid data). These values are highly con-
sistent  compared to  expectations  and  are
almost as  good  as  those  obtained  for total
solids. Table 2 shows the  rejection  data cor-
responding to the bioassay. The average rejec-
tion of daphniid toxicant is 69 percent, and min-
now toxicants is 90 percent. The relative mem-
brane effectiveness for removal of toxicant is
DM > CA > PEA, while for salt removal the
relative order is PEA >  CA  > DM.
   There is a high correlation of the data  ob-
tained for  daphniid and  minnow  toxicity.
Figure 2 shows the results of both 24- and 48-h
responses as reciprocal LC50 for each animal.
The correlation coefficient for the data is 0.94,
suggesting an excellent empirical relationship.

CONCLUDING REMARKS

  Hyperfiltration has been shown to be an ef-
fective separator for toxic materials in textile
process  streams.  The  bioassay  data  for
daphniids  and  minnows provide  consistent
evidence of high separation of about 70 percent
for  daphniids and 90 percent for minnows.
  Because  of analytical difficulties associated
with low concentrations, most of the  organic
and metal toxic pollutant rejections were not
determined. There is good evidence, in agree-
ment with  prior experience, for high rejection
of metals. Some organics were rejected badly
or not at all, but most were separated. Further
studies under controlled conditions  should be
undertaken to  determine the  separation of
these materials.

REFERENCES

1.  J. L. Gaddis and H. G. Spencer, Evaluation
    of Hyperfiltration for Separation of Toxic
    Substances  in   Textile  Water  Process
    Water,  final report, Grant R805777,  to be
    printed by EPA.
                                             119

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Session III: AIR POLLUTION CONTROL TECHNOLOGY




        Donald F. Walters, Session Chairman
                    121

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  INCINERATION AND  HEAT RECOVERY IN THE TEXTILE INDUSTRY

                                   William H. Hebrank*
Abstract

  The paper discusses ways to solve air pollu-
tion and excess fuel  uses caused by  textile
dryer exhausts. Heat recovery  with incinera-
tion minimizes heat exchanger cleaning main-
tenance and provides net fuel  savings, even
without exhaust reduction. Five purposes for
exhaust size are presented, along with param-
eters to evaluate the size of a dryer's exhaust.
The three mechanisms of incineration described
are flame exposure, thermal, and catalytic. In
increasing order of complexity, five different
types  of incinerators  in industrial use  are
described. These are the dryer counterflow in-
cinerator, the afterburner incinerator,  the in-
cinerator with a preheater, the recycling loop
incinerator, and the high-temperature thermal
incinerator.

  The subject of this paper is incineration with
heat recovery  applied to exhaust gases from
textile finishing dryers. Textile finishing dryer
exhausts are a problem for two reasons. First
the exhaust is a relatively large flow, usually
about 9,000 to 18,000 kg of air per hour, and it
is hot enough to cause a large  heat loss. The
reduction of large  heat losses from dryer ex-
hausts is the most important fuel conservation
task in the textile  industry. The second prob-
lem with textile dryer exhaust relates to air
pollution. The blue haze and odor from many
finishing dryer  exhausts takes first place as
the most important air pollution problem in the
textile industry.
  The amount of air pollution from dryer ex-
haust stacks depends on the finishing process.
Various kinds and amounts of oils and finishing
resins are vaporized from the cloth in dryers at
high drying and cloth setting  temperatures.
Some exhausts  also carry quite a bit of lint.
There are process means to reduce some of the
air  pollution. Nowadays,  most of the oils are
  "Hebrank Incorporated, Greenville, SC.
removed by  a prescour process and, some-
times,  the  use of a vacuum slice before the
dryer decreases the amount of resin on cloth
entering the  dryer.  Alternate  selection of
finishing chemicals may also help,  but  cloth
finish quality and economics limit the ability of
processes to correct the problem.
  Most dryers use natural gas for fuel. If the
dryer exhaust is clean exhaust, heat recovery
should be used to save  fuel. A  good exhaust
heat recovery application can pay for itself in 1
to 2 years. With gas prices going up, it is
economically  foolish to put off heat recovery
plans.  However, in most  cases, unless heat
recovery equipment can be easily cleaned, con-
densing smoke from the exhaust stream soon
plugs heat transfer surfaces and diminishes
economic gains.
  If the exhaust can  be cleaned of  dirt and
smoke from  lint and  condensing oils before
passing heat-recovery  heat exchangers, the
prospects for success are greatly  improved.
Unfortunately, air-cleaning  devices  such as
scrubbers  or electrostatic  precipitators re-
quire cooling the exhaust before cleaning so we
are  back  to  problems  with heat  exchanger
plugging. Incinerators have an advantage. The
sequence is reversed; exhaust is cleaned before
going to heat recovery. That point,  plus the
fact that burning is the most convenient way to
get rid of air polluting smoke, makes incinera-
tion very attractive.
  You may have heard that incineration re-
quires additional fuel use. That just is not so; a
properly designed incineration  system with
heat recovery can reduce the total fuel used for
drying. Depending on  circumstances, the sav-
ings can run as high as 60 to 65 percent. It is
possible to get 15 to 25 percent savings, even
without any exhaust reduction.
  It is important to review the size of the ex-
isting exhaust flow rate before planning to in-
stall exhaust air pollution and heat recovery
equipment. Size and cost of equipment depends
on the amount of exhaust flow. Many exhausts
can be reduced, sometimes by as much  as 50
percent. Exhaust reduction also concentrates
                                            123

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smoke and vapors in the exhaust steam, thus
making them easier to remove. The amount of
exhaust needed depends on the  cloth drying-
finishing-setting process, the rate of cloth flow,
the dryer's tightness against smoke leakage,
and  plant  operating-room  ventilation condi-
tions.
  In considering the amount of a textile dryer
exhaust, remember that there are at least five
purposes for that exhaust, the first of which is
to decrease evaporated water vapor concentra-
tion  in the dryer housing. Exhaust should be
thought of in terms of decreasing concentra-
tion; not in terms of removing water vapor. It
can not remove all of the evaporated water; it
serves to  bring  water  vapor  concentration
down to levels consistent with good operation.
Many dryers use more than  30 kg of exhaust to
carry off 1 kg of evaporated water. This can be
reduced to the 16- to 18-kg range. I have heard
it said that with  extensive effort to seal the
dryer and  control plant conditions on some
dryers, one can reach 10 to 12 kg without no-
ticeably affecting drying rates. The paper in-
dustry has known this with their high speed
dryers for years.
  The second  purpose  for exhaust is  to
decrease the concentration of process smoke
and vapors in the dryer. Again all smoke can-
not be removed. Fresh makeup air to replace
air leaving as exhaust dilutes the concentra-
tion. As concentration  goes down, additional
exhaust has less and less benefit.
  The third purpose of exhaust is to reduce
dryer pressure below  room air  pressure to
maintain a slight  inflow to  all dryer openings
from the room. Water vapor and smoke gases
generated from the cloth add their partial pres-
sures to the total inside the dryer and must be
accounted  for in  exhaust calculations. Local
high pressure areas due to circulation flows in-
side  the dryer make it more difficult to main-
tain a slight inflow at all dryer openings.  The
inflow of air aspirates and cleans air near the
openings, not unlike a ventilation hood over a
shop welding or grinding operation. Also, the
partial pressure of fumes inside the  dryer is
higher than the partial  pressure of fumes in
the room. This difference of partial pressure
causes fumes to diffuse or flow towards the
room's lower concentration  level.  With a very
slow inflow air stream, the fume diffusion rate
may be fast enough to swim against the inflow-
 ing air and, thus, cause smoke or haze to occur
 in the room.
   The fourth purpose for exhaust is to remove
 products of combustion from the dryer burn
 ers. The fifth purpose is to properly ventilate
 the dryer during startup prior to the ignition.
   Textile  dryer exhaust dirt and smoke  are
 organic compounds. They can be destroyed by
 burning, that is reduced  to mostly carbon
 dioxide  and water vapor, with three different
 incineration mechanisms. The first mechanism
 is by direct exposure to flames. For efficient
 operation, design of conditions around the com-
 bustor  such as control of flame  geometry and
 airflows are most important. The flame front
 itself is a highly ionized and reactive region
.and should be used to best advantage..Tem-
 perature level is not that important but should
 be at least 320° to 340° C.
   The second incineration  mechanism is the
 phenomena of thermal ignition. Flames are not
 necessary for a substance to thermally ignite.
 If a combustible substance in air is hot enough
 it will go through the chemical reactions to  ox-
 idize to  mostly carbon dioxide and  water
 vapor. Thermal ignition temperatures of var-
 ious organic  compounds in  air are listed in
 chemical handbooks. Most of the common sol-
 vents have thermal ignition temperatures in
 the 320° to 590° C range. If essentially all of the
 substances in exhaust smoke thermally ignite
 at 510° C or lower, it makes little sense to go to
 650° or 820° C  in the incinerator. A rule of
 thumb for thermal incinerators  is to heat ex-
 haust to 650° to 820° C and maintain the tem-
 perature for one-half second or so. Those high
 temperatures require expensive  high-tempera-
 ture materials, and the incinerator uses more
 fuel at high temperatures. In taking the overall
 environment and available resources into con-
 sideration, the aim should be to do an adequate
 job of cleaning exhaust. It can be wrong and
 wasteful to aim for  a 100 percent  cleaning
 operation.
   The third mechanism  for incineration is to
 accomplish chemical reactions  of the dryer
 smoke substances at the surface of a catalytic
 material. Chemical reaction rates are related
 to temperature and surface conditions. At the
 catalytic interface, reaction rates go faster,
 thus allowing a reduction of temperature with
 attendant savings on materials and fuel usage.
 Catalytic reactors are costly and, with certain
                                            124

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                              340°
                                                                    CLOTH
                             Figure 1.  First incinerator category.
gases or  elements,  are  subject  to  surface
poisoning, which can permanently lessen their
effectiveness.
  In order of simplicity, there are about five
different  kinds  of  incineration systems  for
reducing the air pollution from textile dryers.
The first  incinerator  category  (Figure  1)
removes air from the back  end of a dryer,
passes it through a combustor to heat it to 320°
or 370° C, then reenters the incinerated stream
into the drier front  end. Since oil and resins
evaporate at higher  temperatures than water
does, most of the smoke in  textile dryers is
created in the last  zones of the dryer. This
method destroys the smoke at the point of ori-
gin and has been reported to make a noticeable
reduction of exhaust smoke.  Actually, the ex-
haust from the dryer  contains more smoke
than the incinerated flow from the incinerator
because  the  exhaust  has whatever concen-
tration exists inside the dryer. Any fuel used
should be used on the exhaust stream leaving
the  dryer, thus obtaining maximum  cleaning
effect on the stream going to the atmosphere.
  The second incinerator category (Figure 2A),
often called an afterburner, takes air to be ex-
hausted from the dryer, passes it through an
incinerating combustor which heats it to 320°
to 370° C, then either exhausts the incinerated
stream directly to the atmosphere or passes it
through  a heat exchanger to recover some of
the heat energy before exhausting. A variation
of this,  using the combustor of an indirectly
fired dryer as the exhaust incinerator (Figure
2B), ran successfully in Mexico in 1974. The
afterburner concept  uses the  presence of
flames rather  than high temperature to ac-
complish incineration.
  The third incinerator category (Figure 3) and
probably the most common in use in other in-
dustries has a heat exchanger before the in-
cinerator to  preheat exhaust air to be in-
cinerated. High-temperature flow leaving the
incinerator passes back through the hot side of
the preheater exchanger to provide the pre-
heat energy, and in so doing it gives up an
equivalent amount  of  heat  and  is cooled. In
essence the preheat heat exchanger  makes it
possible to raise the exhaust stream to higher
temperatures, using less fuel to do so. Earlier
it was mentioned that putting heat exchangers
into the exhaust stream before the stream had
been  cleaned would cause  dirt and smoke to
soon plug the heat transfer surfaces. In this ap-
plication, that is not so, because the heat ex-
changer is hotter than the exhaust gases; it is
being  used to  heat,  not  cool,  the  exhaust
stream.  Oils, resins, and smoke will not con-
dense on it. If the transfer surfaces are design-
ed to pass lint on to the incinerator it will not
require cleaning maintenance. The incinerated
exhaust stream  leaving the preheater-inciner-
ator combination is still very hot and  usually is
passed  through a  heat recovery exchanger
                                              125

-------
                                     370° C
                                                           -VWW	O
                                                           CLOTH
Figure 2A
Figure 2B
                  Figure 2.  Second incinerator category.
before exhausting to the  atmosphere.  With
this system  the first  heat exchanger, the
preheater, is most often a shell and tube ar-
rangement. Incinerator chamber temperatures
will probably exceed 450° C with this system; it
does a good job of cleaning the exhaust stream,
and, if enough heat exchanger surface is used
for heat recovery to dryer makeup air, it can
save 10 to 15 percent of the finishing process
fuel bill.
  The fourth incinerator category (Figures 4A
and 4B) uses a recycling loop to pass dryer ex-
haust through a flame field a number of times
before exhausting to recovery heat exchangers
                                        and the atmosphere. The recycle principle was
                                        first tried in 1974 on a modified indirect-fired
                                        dryer (Figure  4A) using the burners in the
                                        dryer as exhaust incinerators.  The unit has
                                        been in continuous  production since then in
                                        compliance with North Carolina code, and fuel
                                        savings exceed 60 percent. The  recycle loop
                                        type incinerator  (Figure 4B) incinerates  at
                                        temperatures of 320° to 340° C with retention
                                        times of 2 seconds or longer. Retention is not
                                        as important as flame front exposure with a
                                        thin flat flame spread  as  wide as possible
                                        across the flow. The recycle duct carries hot
                                        gases back to premix with entering dryer ex-
                                   126

-------
                  Figure 3.  Third incinerator category.
Figure 4A
Figure 4B
                                                      >/wwv—Q
                      -»»|i
-------
                               560°  C   ||ll|lllllllUHHll|lh
                                                                vAAA/VV
                                                                www
                                                               CLOTH
                             Figure 5.  Fifth incinerator category.
haust. The mixing of hot and cooler gas acts as
a preheater to preheat dryer exhaust to tem-
peratures around 260° C before entering the
combustor. The system uses a recovery heat
exchanger to heat makeup air for the dryer to
about 260° C. This hot  makeup air carries
enough heat back to the dryer to allow  dryer
operation with all of its burners turned off.
Depending on the installation, fuel savings can
run from 20 to 50 percent.
  The fifth  incinerator  category (Figure 5)
utilizes a high efficiency heat exchanger, 80 to
90 percent, to preheat exhaust to about 560° C
before entering the incinerating chamber. The
incinerating chamber has sufficient volume to
hold  the  flow  for  about one-half second at
650° C. The method of heating from the  enter-
ing  temperature  to  the  incinerator   tem-
perature is not important for incineration; that
is, exposure  to  flame  is  not  necessary. For
practical  design,  the  preheating heat  ex-
changer should  be a regenerating type. The
regenerating exchanger reverses hot and cold
flow over heat-storage elements. The system is
very efficient, but 650° C temperature levels
require construction with expensive high-tern
perature materials: ceramics for heat storage
and refractory lining in the incinerator. Textile
dryer  exhausts  contain many hydrocarbons
which thermally ignite at temperatures below
540° C, probably all of them or what is left is of
such small quantity to be of no consequence. It
is very likely that 540° C peak levels will do an
adequate job of incineration. The costs of con-
struction materials for 650° C are very expen-
sive compared to the cost of materials for
540° C. Again we are back to the point of doing
that which is practical for the overall ecology
with available resources.
                                             128

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             FIXED BED CARBON ADSORPTION FOR CONTROL
                             OF ORGANIC EMISSIONS

                                  W. Macon Sheppard*
Abstract
  Activated carbon processes have long been
used for solvent recovery; however, these proc-
esses and variations of them are receiving in-
creased attention for organics considered to be
air pollution problems requiring emission  con-
trol. In addition to the  air pollution aspects,
many recovery schemes previously labeled as
uneconomical are now undergoing reconsidera-
tion due to increasing  chemical  costs. Acti-
vated carbon is one of several operations  that
can be employed to reduce organic emissions
and in many cases recover valuable material or
heat value.
   When selecting the appropriate type of pollu-
tion control process, the physical properties of
the contaminant and the level and frequency of
emission can be used to determine whether the
pollutant can be discarded, incinerated for  heat
value, or recovered as product. By concentrat-
ing emission streams,  activated carbon can be
used to produce fuels suitable for incineration,
thereby increasing pollution control with re-
duced energy drain.
  In designing fixed bed adsorption systems,
pilot scale  studies  are the best method of ob-
taining the required  design information.  The
most important factors to be evaluated are the
breakthrough  time, the  length  of the mass
transfer zone, and the required regeneration cy-
cle necessary  to sustain an adequate carbon
working capacity.  Overall design considera-
tions are governed by the required control effi-
ciency and the available plant facilities.

INTRODUCTION

   Some  States  are  imposing, in State  Im-
plementations Plans,  stricter  limitations on
organic emissions from  stationary sources in
order to meet Federal requirements for  con-
trolling ozone. Also,  for the first time many
  •Environmental consultant.
States are beginning to require emission inven-
tories on organics.
  The most important regulatory action con-
cerning  organics  is the  increased attention
being placed on carcinogenic compounds. The
ruling of vinyl chloride as a hazardous sub-
stance due  to increased incidents of angio-
sarcoma among workers was the first of what
will  surely  be  many  organic compounds  to
undergo reduced emission levels and strict en-
forcement action.  Since the vinyl  chloride rul-
ing,  benzene has  now been singled out  as a
health hazard and others are sure to follow. As
in the case  of vinyl chloride, strict emission
limits set  for  health reasons will  not be
lowered due to complaints of poor economics or
shortages of energy  and  technology. These
emission limits, imposed by either State, EPA,
or OSHA regulations, will be required  of those
industries  where  the specified  organic  is
emitted from stacks, vents, or fugitive  sources.
  In addition to the air pollution  aspects, in-
creased attention  is also being given to many
recovery schemes previously  labeled uneco-.
nomical, but now  undergoing reconsideration
due  to increasing chemical costs. Activated
carbon is one of several operations that can be
employed to reduce organic emissions, and in
many cases recover valuable material or heat
value.

THEORY OF ADSORPTION

  Adsorption is a process involving  the con-
centration of materials at a surface or inter-
face, whereas in absorption, the material goes
into  solution. Adsorption is normally  thought
of as a liquid or gas adhering to the surface of a
solid; such as activated carbon. Such a  material
can  either  be  physically or  chemically ad-
sorbed. Physical adsorption is the result of in-
termolecular forces   of  attraction  between
molecules of the solid and the substance being
adsorbed. The adsorbed substance does not
penetrate the lattice structure, but remains at
the surface.  The phenomena is reversible with
                                            129

-------
an increase  in tertiperature or a decrease in
pressure removing the adsorbate in an un-
changed form. In almost all cases, organics are
physically  adsorbed  on  activated   carbon.
Chemical  adsorption  (chemisorption)  is  a
chemical reaction between the solid and adsorb-
ate with the formation of bonds much greater
than the forces  of physical adsorption. This
phenomena  is  frequently  irreversible; e.g.,
oxygen chemisorbed on carbon is desorbed as
CO or C02 (ref. 1).
  The  amount of a given material that will ad-
sorb on activated carbon is most commonly
determined  by static equilibrium tests. The
carbon is contacted with a given concentration
at a constant temperature,  and  after equilib-
rium is attained, the mass increase of the car-
bon is  measured. From these tests adsorption
isotherms are formed. A typical isotherm  is
shown in Figure  1 (ref. 2). The  adsorption
capacity increases with a decrease in temper-
ature and an increase in concentration and as a
general rule, a vapor is more readily adsorbed
the higher the molecular weight and the lower
                         the critical temperature.

                         FIXED BED OPERATION

                           Carbon adsorption systems normally employ
                         fixed beds of activated carbon. As shown in
                         Figure 1 (ref. 3), as the pollutant is adsorbed
                         from the gas stream onto the bed, an adsorp-
                         tion zone is formed which moves through the
                         bed at a  velocity  much slower than the  gas
                         velocity. The breakpoint (or breakthrough) is
                         that time when the adsorption zone (or mass
                         transfer zone) reaches the end of the bed, and
                         the pollutant concentration of the bed effluent
                         begins to increase. The effluent concentration
                         increases with onstream time, and at complete
                         bed saturation  will equal the influent concen-
                         tration. Static  equilibrium measurements of
                         adsorption isotherms indicate the amount of
                         organic adsorbed at saturation, but these data
                         are not good design parameters since the on-
                         stream time of a fixed bed system is normally
                         terminated short of complete saturation, usual-
                         ly soon after the breakthrough occurs.
         .0001
.001
 .01               .1
Partial Pressure—PS!A
1.0
                                   Figure 1.  Toluene isotherms.
                                            130

-------
DESIGN CONSIDERATIONS

  Pilot-scale studies are the best method of ob-
taining design information. Some factors that
must be taken into account when designing an
adsorption system and that can be evaluated in
a pilot study are (ref. 4):
  • The breakpoint and shape of the break-
    through curve or length of the mass trans-
         Progress of B stable mass-transfer
              through an adsorbent bed
                                   front
.   T   T
                         JL
                   T   T    T
                                       L
      o                  «,           .,
                Onstream time, 6
      Figure 2.  Stable mass transfer front.
     Position of the stoichiometric front relative to the
    stable mzss-lransfer front during dynamic adsorption
                                       1
§8
= e v
•U^. *,
aeea
C 3
S 8
i£
l«y
Kff '«
tj3 1
1




	 X
^ 	 ')



1 -
3 »* JL e.
             •Onstream time, 9.
        Figure 3. Stable front relative to
            stoichiometric front.
      ferzone. Breakpoint times decrease with:
       — a decrease in bed depth,
       — an increase in carbon particle size,
       — an increase in flow rate, and
       — an increase in initial concentration.
      The length of the mass transfer zone is re-
      quired to determine adequate bed depths
      (Figures 2 and 3). Normal bed depths are
      at least 2 to 3 times the length of the mass
      transfer zone. If the mass transfer zone is
      longer than the carbon bed, breakthrough
      is immediate.
    • The working capacity of the carbon, at
      various temperatures, for the organic be-
      ing removed from the stream. The work-
      ing capacity is the capacity restored by
      regeneration and cannot be determined
      from saturation capacities as shown in
      Figure 4 (ref. 4).
    • The pressure and flow rate of the stream
      being treated. The pressure drop  is re-
      quired for determining bed depth and the
      particle size of the carbon to be used.
    • The desired and/or economical onstream
      time between regenerations. Factors that
      may govern  onstream time are:
       — minimum effluent concentration,
       — bed volume, and
       — regeneration time required to restore
          a desired working capacity.
    • The need for pretreatment of the pollutant
      stream prior  to adsorption. Pretreatment
      is sometimes necessary to remove heat,
      moisture, particulates, or aerosols (Figure
      5).
    • The type of regeneration to be used. Alter-
      natives for regeneration are steam, air,
      vacuum, and thermal, as can be seen in
      Figure 5 (ref. 5).

POLLUTION CONTROL PROCESSES

  Four general  types of adsorption schemes
can  be defined  as aids  in selecting the ap-
propriate type of  control process (Figure 6).
These are odor removal, pollution control, sol-
vent recovery, and tank vent emission control
(ref. 6).

Odor Removal (Figure 7}

  Odor problems  can occur when concentra-
tions are less  than 1 ppm, even though emis-
                                              131

-------
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                                                   Adsorption Temperature	75°F
                                                   DesorptKm Temperature	75°F
                                                   Purge Rate, bed volumes/min	10
                                                   Purge Time, minutes	  20
                                                                   Saturation Capacity

                                                                   Working Capacity
                  1234
                          CARBON NO.
             Figure 4. Working capacity is independent of saturation capacity.
Adsorption Cycle
                           Pretreatment
                          (If Necessary)
                                                 A/C
                                              Adsorbers
Polluted
Air
Source
- •




	 »J Absorption

	 »i Condensation

A. ^^%« « .^ • .^k
—
— ^
—



I




1
Clean
Air to
Atmos
s
Desorption Cycle
Heated air-
Ambient air-
Electrical heat

Vacuum           »
Inert gas-

Steam —
Combustion gas ••  »

Chemical	^
                             A/C
                           Adsorbers
                                               Condensation
                                                 Absorption
                                                 Incineration
                     Figure 5.  Adsorption/desorption alternatives.

                                      132
                                                                   Reuse
                                                                   Disposal
                                                                   Fuel
                                                                   Heat
                                                                   Recovery

-------
          POLLUTION CONTROL PROCESSES

Concentration
Bed D«plh (Typical)
Regeneration Method
Disposition of
Collected
Materia!
Adsorption Cvcie
Odor
Removal
1 ppm
1/Jm.
Reactivate
or discard
None
1 yetr
Poituiton
Control
1 ppm-0.1%
9m.
Regenerate
m puce
Incinera-
tion or
disposal
1-8 hours
Solvent
Recovery
01V3*
24 in.
Steam Re-
generation
Reuw
30-60 mtn .
Tank Vent
Emission Control
Various
, Various
Discard Carbon

M2mon|ns
                                                    INLET
     Figure 6. Pollution control processes.
 INLET






EXHAUST

       FAN    ("ARTICULATE    ODOR
               REMOVAL    REMOVAL
     AIR FLOW
     PRESSURE DROP
     CARBON LIFE
     NEW FILTER COST
     REACTIVATION COST
2000CFM/FILTER
0.25" H-0
1-2 YEARS
S220-S250
S 80-S100
         Figure 7.  Odor removal system.
sion quantities are minimal. In this system the
air is filtered to remove particulates before be-
ing treated by the carbon. A thin bed of carbon
or multiple sets of thin beds can be designed to
handle large volumes of air and keep the con-
taminant below  its threshold level for over a
year. The spent carbon is then removed from
the bed and either reactivated or discarded.

Pollution Control (Figure 8)

  Emission problems where pollutant concen-
trations  range from  1 to 1,000  ppm can  be
caused by odor or emission quantities. In this
system, the stream may be filtered to remove
particulates and/or cooled to increase adsorp-
tion. Normally, multiple beds are employed in
cycles  to allow  one to be regenerated while
another is  undergoing adsorption. Economics
normally dictate that the carbon  be  regener-
ated in place, but that  the  desorbed  material
not be  recovered for reuse. Incineration is the
normal disposal method.

Solvent Recovery (Figure 9)

  A conventional solvent recovery system is
                                                       BLOWER      AIR      PARTICULATE
                                                              CONDITIONING    REMOVAL
                                                    DISPOSAL
                                                        CONDENSER
                                                       AIR FLOW
                                                       ADSORPTION
                                                       PRESSURE DROP
                                              f^  STEAM
                                              REGENERATION
                                                                                   PURIFICATION
                                               1000-100.000 CFM/BED
                                               1 - 8 HOURS
                                               10"-20" H20
                                                         Figure 8. Pollution control system.
                                                      BLOWER
    AIR
CONDITIONING
PARTICULATE
 REMOVAL
                                                                             CARBON
                                                                                    CARBON
                                                                   CONDENSER REGENERA-
                                                              DECANTER      TION
                                                                 I  EXHAUST
                                                                PURIFl-    "
                                                                CATION
                               AIRFLOW       - 1.000-40.000 CFM/BED
                               ADSORPTION     - 30-60 MIN.
                               PRESSURE DROP  - 20"-30" HjO

                                  Figure 9. Solvent recovery system.
                            usually employed  when the pollutant concen-
                            tration ranges from 1,000 ppm to the lower ex-
                            plosive limit. This system  is the same as the
                            pollution control system previously described,
                            except  that the large pollutant  loadings re-
                            quire deeper beds even  for short adsorption
                            cycles, and organics are recovered for reuse in
                            the regeneration cycle.

                            Tank Vent Emission Control (Figure 10)

                              In  many cases  the conventional  solvent
                            recovery process can be used to control emis-
                            sions from tank vents; however, the process as
                            described  in Figure 10 is applicable  where
                            regeneration facilities such as steam or heat
                            are  not available. The  process is simply  a
                            replaceable carbon bed which adsorbs vapor on
                            tank filling and can be partially regenerated
                                             133

-------
with inert gas as the tank is emptied.
  The  appropriate adsorption process can be
selected based on the pollutant's physical prop-
erities, concentration, and emission frequency
as shown in Figure  11.  As a  general  rule,
organics with a molecular weight below 30 are
not adsorbed in quantities which make adsorp-
tion as practical as  other  control  methods.
Another  factor is that with increasing boiling
point,  the pollutant is  less readily  desorbed
from  the carbon.  Applicable   systems are,
therefore, those  in which the  carbon  is not
regenerated  in  place. Continuous operations
are  more  conducive  to  cyclical  adsorption
systems with disposal or recovery based on the
pollutant concentration in the stream.
                         INERT GAS
                          SOURCE
                                    VENT
             AIRFLOW      -UptoZOOCFV
             PRESSURE DROP - Negligible
             CARBON LIFE   -1-12 MONTHS
             CARBON COST   - S1-S2/L8. SOLVENT
                   (THROW AWAY BASIS!
    Figure 10. Tank vent emission control.
NOVEL ADSORPTION SYSTEMS

  By  concentrating  emission  streams, ac-
tivated carbon can be used to produce  fuels
suitable  for  incineration, thereby increasing
pollution control with reduced energy drain. In
a typical solvent recovery unit, two beds are
used to allow one to be regenerated with steam
while the other is adsorbing solvent. Figure 12
illustrates a modification to this process in that
the carbon is contained in annular beds at a
depth of 4 inches. As steam is used to regene-
rate the beds countercurrently, concentrated
airstreams containing steam can be sent direct-
ly to an incinerator (ref. 2).
   Another adsorption system is used to con-
centrate a benzene  emission stream from 85
ppm to 3,500 ppm, thereby reducing  fuel re-
quirements for  subsequent incineration by a
factor of 86 (ref. 2). As shown in  Figure 13, the
85 ppm  benzene stream is cooled to 150° F,
then adsorbed on the carbon bed in an 8.5-h cy-
cle. For regeneration  a slip stream of the
original 300° F emission is introduced to the
carbon bed in a 4-h desorption cycle, which pro-
duces  an effluent  average concentration of
3,500 ppm. Whereas the 85 ppm stream would
require  1,530,000   Btu's  to  incinerate  at
1,400°F, the 3,500 ppm  stream  requires only
17,800 Btu's. A similar adsorption/incineration
system patented as  the  Zorbcin Process (Fig-
ure 14) uses incinerator exhaust to desorb the
carbon beds (ref. 7).
   In addition to the commonly used  solvent
recovery process, recovery is also feasible with
vacuum desorption. In such a system, the pres-
sure is reduced  below the partial  pressure of
the adsorbed organic material. The organic is
then removed from  the carbon  in concentra-
tions as high as  90 percent, which makes con-
densation and recovery attractive. A vacuum
desorption system  has been shown to be  a
viable  method for controlling emissions from
gasoline  vapors  during refueling  operations.
As shown in Figure 15, vapor concentrations of
10  percent to 40  percent are  adsorbed  and
vacuum regenerated to 95 percent concentra-
tion levels (above the  upper explosive limit).
Although  successful under these  conditions,
there is little data for vacuum  desorption of
dilute streams and low carbon loadings.

CRITERIA FOR SELECTION OF
GAS CLEANING EQUIPMENT

   Carbon adsorption is one of several opera-
tions that can be used to control organic emis-
sions. Other techniques are adsorption by var-
ious liquid scrubbers and direct flame, thermal,
and catalytic incineration. Criteria for selec-
tion of the proper processes are:  desired collec-
tion efficiency,  vapor  stream characteristics,
plant facilities and available utilities, and cost
of control (Figure 16).
                                             134

-------
    TABLE II PROCESS SELECTION
BOILING
POINT    400" F
 MOLECULAR
 WEIGHT  > 30
! MOLECULAR
 WEIGHT  <30
                   CONCENTRATION
                       >1 PPM
                                      REMOTE
                                      LOCATION
                   f
                   CONCENTRATION
                       <1 PPM
                   CONTINUOUS
                   EMISSION
                   SINGLE
                   OCCURRENCE
                    INTERMITTENT
                    EMISSION
      INCINERATION
	ADSORPTION OR
      CHEMICAL REACTION
                        PERSONNEL
                        NEARBY
                                          TANK VENT EMISSION CONTROL
POOR REMOVAL
                        ODOR REMOVAL
                                      CONCENTRATION
                                          3%
                                                                    — SOLVENT RECOVERY
                                                          TANK VENT
                                                          EMISSION CONTROL
                                                                    	 SOLVENT RECOVERY
                                      CONCENTRATION
                                        0.1%-3.0%
                                      CONCENTRATION
                                        1 PPM-0.1%
                         CONCENTRATION
                             1 PPM
SOLVENT RECOVERY


POLLUTION CONTROL


ODOR REMOVAL
                         TANK VENT EMISSION CONTROL


                                          TANK VENT EMISSION CONTROL
                                       HIGH
                                       CONCENTRATION]
                                       ODOR OR LOW
                                       CONCENTRATION
                                           ODOR REMOVAL
                     Figure 11. Selection process for adsorption control.
                                          135

-------
                       Steam
Inlet
 Air
	 p<



1
1

r —








C/inrffinsfir











«
*

Incinerator




                       Steam
                   Figure 12. Steam regeneration/incineration.
85 ppm Benzerv
300«F


4
20 SCFM

B
^^ / ,A
" Vv j
v^




200 SCFt
^ 	
* M
1 1 N
Adsorber
t

ri















H ?
M 1 I
Adsorber
t

3500 ppm Benzene
30O°F L , _ 	 _,_




                     Figure 13. Adsorption/incineration system.
                                        136

-------
CONTAMINATED
 AIR STREAM
            AIR

          *P
CONTAMINATED
    AIR FAN
                                          EXHAUST TO ATMOSPHERE
                          AOSOR8ER NO. 2


                              SLOWDOWN STREAM
I
                      REGEN.
                  AIR COOLER,
                         COOLING
                          WATER
                                  REGENERATING
                                      FAN
                                                HEAT !NTER-
                                                  CHANGER
                                                •
                                                MAKE-UP
                                                             TO
                                                                EXHAUST
                      INCINERATOR   INCINERATOR
                            FAN  I
                                NAT. GAS
                                                    Figure 1.
                                                    ZORBCIN
                                                    Process
                                                       for
                                                    purifying
                                                  contaminated
                                                   air streams.
                               Figure 14. Zorbcin process.

10-40%
Vol. HC
? M
I !M
Adsorber



1 +
Adsorber
vacuum
Regeneration
System
^^ •^pv
r>
h±r
95V
HC
-*
ol°/<
Recovery
Storage
>
                          Figure 15. Gasoline vapor control system.


                                           137

-------
                   EMISSIONS AND EMISSIONS
                          STANDARDS
               DETERMINES COLLECTION EFFICIENCY
                CONTROL EQUIPMENT ALTERNATIVES
* V 1
PACKED
TOWER

VENTURI
SCRUBBER

r t
ACTIVATED
CARBON
ADSORPTION

DIRECT
FLAME


CATALYTIC
     VAPOR STREAM
   CHARACTERISTICS
VOLUME
TEMPERATURE
MOISTURE CONTENT
CORROSIVENESS
ODOR
PROCESS
                 VAPOR STREAM
                CHARACTERISTICS
EXPLOSIVENESS
VISCOSITY
IGNITION POINT
DENSITY
PHYSICAL PROPERTIES
WASTE TREATMENT
SPACE RESTRICTION
PRODUCT RECOVERY
PLANT
FACILITY
WATER AVAILABILITY
FORM OF HEAT RECOVERY
(GAS OR LIQUID)
ENGINEERING STUDIES
HARDWARE
AUXILIARY EQUIPMENT
LAND
STRUCTURES
INSTALLATION
START-UP
                             I
COST OF
CONTROL
POWER
WASTE DISPOSAL
WATER
MATERIALS
CAS CONDITIONING
             TAXES
             INSURANCE
             RETURN ON INVESTMENT
            «t         •
                          SELECTED
                     GAS CLEANING SYSTEM
                              t
                     DESIRED EMISSION RATE

      Figure 16.  Criteria for selection of gas cleaning equipment.
                             138

-------
REFERENCES

1.  W. M. Sheppard, "A Study of the Steam
   Regeneration of a Fixed Bed of Activated
   Carbon  Used  to  Adsorb  Hydrogen
   Sulfide," Master's Thesis, Clemson Univer-
   sity, 1970.
2.  W. D. Lovett and F- T. Cunniff, "Activated
   Carbon Methods  for  Controlling Sta-
   tionary Source Air Pollutants," presented
   at the  Calgon  Adsorption Conference,
   Pittsburgh, PA, 1975.
3.  G. M. Lukchis,  "Adsorption Systems,"
   Union Carbide Corp. Pamphlet, reprinted
   from Chemical Engineering, 1973.
4.   W. D. Faulkner, W. G. Shuliger, and J. E.
    Urbanic, "Odor Control Methods Using
    Granular Activated Carbon," presented at
    74th National AIChE Meeting, New Or-
    leans, 1973.
5.   B. Grandjacques, "Air Pollution Control
    and Energy Savings With Carbon Adsorp-
    tion Systems," Calgon Corporation Report
    No. APC 12-A, 1975.
6.   J. C. Enneking, "Control of Vapor Emis-
    sions by Adsorption," ASHRAE Bulletin
    CH 73-2,1973.
7.   M. M. Mattia, "Processs for Solvent Pollu-
    tion Control," Chemical Engineering Prog-
    ress, Vol. 66, No. 12,1970.
                                           139

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             FLUIDIZED BED ACTIVATED CARBON ADSORPTION

                          Ram Chandrasekhar*, Carmen M. Yonf
Abstract

  Activated carbon adsorption and recovery of
hydrocarbons  has long been practiced in in-
dustry using fixed beds. With the development
of special beaded carbon it is now possible to
recover these hydrocarbons continuously in a
fluidized  bed.  Fluidized  beds are compact,
easier  to operate and maintain, and offer im-
proved life cycle costs. PuraSiv® HR is a pro-
prietary fluidized bed activated carbon adsorp-
tion/desorption system licensed by Union Car-
bide Corporation from Kureha Chemical Co.,
Ltd.* Details of the operation of fluidized bed
activated carbon adsorbers, their application
to textile plant exhausts, and relative merits
over fixed beds are discussed in this paper.

ACTIVATED CARBON ADSORPTION

   The  control of environmental pollution has
become one of the industrialized world's major
social goals. The textile industry is but one of
many faced with a need for new technological
innovations in dealing with the control of unde-
sirable emissions. In the area of air pollution
there are many opportunities for reducing the
quantities of organic solvents, trace toxic sub-
stances, and malodorous compounds released
to the  atmosphere.
   The  processes that  have emerged as the
most successful in treating gaseous emissions
are adsorption, absorption,  incineration, and
catalytic oxidation. Among these, only the first
two  offer  the opportunity to recover  sub-
stances for subsequent reuse. Although highly
effective, the latter two methods require the
consumption of much more valuable fuel, espe-
cially in applications where the pollutant is at
low ppm levels. The use  of adsorption, prin-
cipally with activated carbons, has gained wide
  *Foster-Miller Associates, Inc., Waltham, MA.
  ^Union Carbide Corporation, Tarrytown, NY.
  •••Carbon  Products Department (formerly Taiyo Kaken
  Co., Ltd.).
acceptance due to its versatility in removing a
wide  range of pollutants, its effectiveness of
low concentrations, and its ability to yield a
concentrated recovered substance for reuse.
  Currently, nearly all activated carbon sys-
tems  are  of the fixed bed type. Granular or
pelleted activated carbon of the desired size is
packed in a vessel through which the solvent-
(or  pollutant-) laden gas is passed to effect
removal. At some point before the activated
carbon's adsorptive capacity is exhausted, the
contaminated airstream must be switched  to
another vessel containing a bed of regenerated
adsorbent. Steam is then passed through the
spent bed of carbon to heat the adsorbent and
strip  the contaminant. In the case of solvent
recovery the steam-vapor mixture goes to heat
exchanger where it is condensed. If the solvent
and water are immiscible, the two phases are
separated in a decanter  and each is further
refined as necessary. If the  solvent is miscible
with water the stream must go to distillation in
order to achieve a separation. For applications
where recovery of the contaminant is not  de-
sired, the steam-vapor mixture  can be  in-
cinerated  since it  is now more economically
feasible due to the much  higher fuel value of
the stream. After the activated  carbon has
been regenerated, a stream of cool air is passed
through the bed to cool and  dry the adsorbent,
preparatory to using it again for adsorption.
  There are several limitations and disadvan-
tages to the use of fixed beds. When a large
volume of gas is to be treated, adsorption effi-
ciency drops off due to the difficulty in obtain-
ing uniform flow distribution across the face of
the bed. In order to minimize the pressure drop
across the bed (and thus power consumption),
the adsorbent layer is usually very thin, some-
times only a few inches. Unfortunately, this
leads  to very poor utilization of the volume
within a  vessel and  subsequent  increase  in
equipment costs. In cases where high concen-
trations in the  air must be treated,  the heat
generated by adsorption  cannot  easily be re-
moved. Other problems arise from the batch-
wise nature of fixed beds. Each vessel must
                                             141

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have several valves in order to properly se-
quence through the cycle steps: adsorption,
desorption, cooling, and drying. These valves
lead to leakage, operating, and maintenance
problems. The  containment of the activated
carbon in a steel vessel requires that the metal
as well as the adsorbent be heated up and cooled
down every cycle. This results in an unneces-
sary use of  utilities. When adsorption is car-
ried out in fixed beds, there is always a portion
of the bed that is not completely exhausted due
to mass transfer resistance. This unused bed
must still be regenerated each cycle, however,
and  this leads to  increased utility require-
ments. The use of steam as the direct heating
and desorbing medium leads to more difficult
solvent recovery steps than if water were not
present. The condensed steam can also present
a very bothersome water pollution problem.
Some years  ago it became apparent that a con-
tinuous process based on fluidized bed adsorp-
tion offered a means of improving upon  acti-
vated carbon adsorption.

FLUIDIZED BED ADSORPTION

  If a bed of activated carbon is maintained in
a fluidized state, there are many advantageous
properties of the system. Particles in a fluid-
ized condition behave much like a liquid. This
means that the regenerated carbon can be con-
tinuously brought into contact with the con-
taminated air and  a portion of spent carbon
constantly withdrawn. The result is that only a
small  quantity of  adsorbent  need be main-
tained in the adsorption zone and very low
pressure drops are achievable. The fluidity
allows the adsorption zone to be designed as a
series of stages analagous to a  distillation
tower with  activated carbon introduced coun-
tercurrent to the gas onto the top stage and
withdrawn from a bottom stage. When the ad-
sorption is staged in this manner, it is possible
to completely exhaust every bit of adsorbent
before it is regenerated and regeneration heat
and stripping gas are conserved. Because the
velocities of gas needed  to fluidize a bed are
much higher than those allowable in a fixed
bed, the gas phase mass transfer resistance is
drastically reduced. A considerable amount of
heat is generated when solvent is adsorbed at
high concentrations. Fluidized  beds transfer
the heat away well,  preventing "hot  spots"
that have been implicated in  fixed bed fires.
The ability to move the carbon into and out of a
desorption zone eliminates the need to cyclic-
ally heat and cool the vessel walls with the ac-
companying waste of energy. Several attempts
to apply fluid bed adsorption principles  had
previously been attempted  with very limited
success.
  In the early 1930's, there was an attempt to
develop moving beds of activated carbon with-
out success (refs. 1,2). Around 1950, Union  Oil
Company developed the Hypersorption mov-,
ing bed process for the recovery of hydrocar-
bons from natural gas and for  other hydrocar-
bon fractionations (refs. 3,4). It was not until
the mid 1960's that Cortaulds, Ltd. developed a
fluid bed adsorber for the recovery of carbon
disulfide from air in a rayon fiber plant and ap-
plied it to several solvents (refs. 5,6,7). All of
the  processes  were  plagued by  excessive
losses of activated carbon due to breakage and
attrition. The capital costs were high and there
were  economic disadvantages in scaledown.
The other major difficulty was breakdown of
mechanical equipment,  primarily  that  asso-
ciated with transporting the carbon from sec-
tion to section. One reason was the erosive
nature of the adsorbent on steel parts. The suc-
cessful use of fluid bed adsorption had to wait
for the introduction of a dramatically different
activated carbon and the development of a new
process system to take full advantage of that
product's unique properties.

PURASIV® HR ADSORBENT

  PuraSiv® HR is a proprietary fluidized bed
activated carbon adsorption/desorption system
licensed from Kureha Chemical Company, Ltd.
and sold by Union Carbide Corporation in the
United States and Canada (refs. 8,9,10,11). The
adsorbent around which the system has evolved
is a beaded activated carbon (BAC) which is
produced by a patented forming process (ref.
12). The raw material for the BAC is a molten
petroleum pitch. Being thermoplastic, the mol-
ten material can be formed into nearly perfect
spheres (see Figure 1) by the action of surface
tension.  Since the spheres are still thermo-
plastic, oversize and undersize particles can be
recycled, yielding as narrow a size distribution
as  is needed  without expensive losses. The
beads are then carbonized and steam activated
                                             142

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                               Figure 1. Beaded activated carbon.
under conditions similar to those used for con-
ventional carbon activation. Careful control of
the activation yields a PuraSiv* HR adsorbent
with equilibrium loadings comparable to those
of the highest grades of granular activated car-
bon.
  The  good mass  transfer  characteristics of
BAG are attributable to its superior activation,
very small size, and spherical shape. The com-
bination of small size and spherical  shape re-
sults in a high  ratio of  external surface area
per unit volume, and this is conducive to high
mass transfer rates.  Also, the small diameter
particles which characterize the PuraSiv® HR
adsorbent have relatively small diffusion paths
from the adsorbent surface to the adsorption
sites and this results in higher diffusion rates.
The activation given to the product results in a
very large percentage  of  micropores  in the
range needed for solvent recovery. The result-
ing high pore volume and  narrow pore size
distribution  also improve  the  mass transfer
characteristics.
  The fluidity of BAG, especially in the fluid-
ized state, is nearly that of a liquid as would be
expected from its particle shape. The spheric-
ity and the narrow size distribution contribute
to very stable fluidization and homogeneous
flow patterns. This fluidity also allows for very
easy  transfer by a carrier gas  and ease in
charging and discharging of equipment. These
same  properties result in the  ability to trans-
port the BAG in a dense phase by gravity with
little tendency to bridge in narrow  passages.
  Another result of the forming process is the
excellent attrition resistance exhibited  by the
PuraSiv® HR  adsorbent. As  contrasted with
products manufactured  by  binding powdery
raw material or granulating nonhomogeneous
substances, BAG has a structure that  is uni-
form, homogeneous, and strong. This strength
and the sphericity result in an adsorbent with
attrition  resistance  that   is  significantly
superior to conventional activated carbon. This
higher attrition  resistance  not only reduces
costs  associated with adsorbent replacement,
                                             143

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but also adds significantly to on-line operating
time and minimizes particulate emissions.
  All of these properties make BAG an ideal
adsorbent for a fluidized bed adsorption .proc-
ess. It is around these unique qualities that the
PuraSiv® HR process has been developed.

PURASIV® HR ADSORPTION SYSTEM

  The heart of the PuraSiv® HR system is the
adsorber/desorber vessel shown in Figure 2.
The particular unit depicted is for a system uti-
lizing nitrogen as the stripping gas and  steam
as the heating medium. There are many other
means of stripping and heating that will be dis-
cussed later.
  The adsorption section consists of  multi-
staged fluidized beds. An important considera-
tion is that the influent gas be introduced into
the fluidizing section as uniformly as possible
to insure  uniform contact between the fluid-
ized adsorbent and influent stream. The Pura-
Siv® HR system incorporates gas distribution
structures which reduce impact pressure and
allow proper distribution with a minimal pres-
sure drop. Good gas distribution  not only as-
sures efficient adsorption but also eliminates
"hot spots" believed to be one cause of fixed
bed fires. The particles of adsorbent are fluid-
ized by  the upward  moving gas and flow
smoothly across the tray to the downcomers.
The position of the downcomers are alternated
on each tray, thereby eliminating dead  space
and allowing for uniform contact between the
adsorbent and gas through the adsorption sec-
tion. The gas velocities are several times those
achievable in fixed beds and since there is only
a single vessel the overall unit is more com-
pact.  The fluidized bed  height is kept at a
specified level by the weir'. Particles from an
upper stage fall  onto a tray and overflow the
weir into the downcomer. This patented tray
design (ref.  8) results in efficient countercur-
rent contact of  the PuraSiv® HR adsorbent
with the upward moving gas. The adsorbent
becomes progressively saturated with the sol-
vent as it falls downward through successive
trays  of  the  adsorber  and, after  passing
through the seal zone, falls into the secondary
adsorption zone.
  The purpose  of the secondary adsorption
section is to remove from the stripping nitro-
gen most of the residual solvent not condensed
in the condenser. In this section the adsorbent
falls as a dense moving bed countercurrent to
the upward flowing stripping gas. The nitro-
gen leaving at the top has a solvent level low
enough that it can be recycled as fresh desorp-
tion  gas. The BAG  has enough adsorptive ca-
pacity to accomplish this  since the concentra-
tion of solvent in the nitrogen leaving the con-
denser is easily an order of magnitude higher
than that in the adsorber. The adsorbent exits
through another seal zone into  the desorption
section.
  Desorption is usually carried out by raising
the temperature and/or by reducing the partial
pressure of the adsorbate (solvent that is ad-
sorbed). This is often accomplished by desorb-
ing with gases such as steam, nitrogen, or air,
while simultaneously supplying sufficient heat
to bring the material to the desired desorption
temperature and to provide the  heat of desorp-
tion. This heating can be accomplished directly
or indirectly. In the PuraSiv® HR desorption
section of Figure 2, the adsorbent, falling as a
dense moving  bed phase, is countercurrently
contacted with the  upward flowing stripping
nitrogen. The heat of desorption is supplied in-
directly by steam on the  shell  side of a shell
and tube  heat exchanger. The nitrogen for
stripping is recycled from the  secondary ad-
sorber to the  desorber bottom by a recycle
blower. The solvent-laden stripping gas exits
the top of the desorber to the condenser. Most
of the solvent in the nitrogen is  condensed and
recovered while the nitrogen goes to the sec-
ondary adsorber. One of the advantages of us-
ing nitrogen in this recycle manner is that only
a small amount of fresh nitrogen is required —
that to make up losses. Since nitrogen does not
condense as steam from a fixed bed would in
the condenser, the condenser size and cooling
water requirements are significantly reduced.
The  use of nitrogen allows solvents to be
recovered  with  much lower water content,
thus  reducing the amount of post treatment
before reuse. Because the  steam for heating is
applied indirectly, the steam condensate can be
returned directly to the boiler system without
expensive treatment to remove the dissolved
solvent. In many cases with nitrogen stripping
gas there will be no water condensate from the
condenser to creat a secondary  pollution prob-
lem.
  After the BAG flows down to the bottom of
                                             144

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                                 CLEAN
                                   GAS
ADSORPTION
 SECTION
SECONDARY
ADSORPTION
 SECTION
DESORPTION
 SECTION
 N_  RECYCLE
  BLOWER
  ^	 BAG  FLOW

 <^	1 GAS  FLOW



WEIR


DOWNCOMER


ADSORBER TRAY


BAG LIFT PIPE


SEAL  ZONE
SECONDARY
ADSORBER TUBE
        CONDENSER
                                                                  RECOVERED
                                                                  SOLVENT
                                                            DESORBER TUBE
                                             CONDENSATE
                              BAG  LIFT AIR

                      Figure 2. PuraSiv® HR adsorber/desorber.

                                     145

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the column  past the desorption section, it  is
recycled to  the top of the adsorption  section
through the airlift line. The carbon and air are
blended  in  a special  nozzle and the BAG  is
lifted by the airstream. No mechanically mov-
ing devices  are  involved  in the system. The
airlift nozzle also acts as a seal zone between
the desorber and the airlift line. Due to the ex-
cellent flow  properties and attrition resistance
possessed  by the PuraSiv®  HR  absorbent,
these transfers  are accomplished with  very
small adsorbent attrition losses and relatively
low power consumption.
  As  mentioned  above,  the  PuraSiv® HR
system has wide versatility  in design and
operation. The adsorber section can have any
number of stages and any desired BAC-to-gas
ratio. For some applications special formula-
tions of BAG have been developed for difficult
separations. However, the broadest flexibility
is in the desorption section. Here the stripping
gas and the  heating medium can be custom de-
signed for the application. In  addition to the
use of nitrogen discussed above, the desorbing
gas can be air, steam, carbon dioxide, combus-
tion gas, or fuel gas. Figure 3 illustrates the
use of air for stripping perchloroethylene. The
use of inexpensive air is possible for solvents
that are not combustible. Steam can be used
just as it is in conventional fixed beds. COe and
combustion gas would be used in the same way
as nitrogen wherever they are more available.
Fuel gas might be the choice for desorbing if
the solvent or contaminant is to be incinerated
or used as a fuel supplement.
  The process also  has a variety  of heating
means available. The indirect heating medium
can be combustion gas, high temperature heat
transfer fluids, or electric resistance heaters as
well as steam. This allows the temperature of
desorption to be selected for optimal perform-
ance. This  is in contrast to fixed beds, which
are generally limited to about 100° C. The
higher temperatures are especially useful in
recovering high boiling point materials and for
deodorization applications to accomplish near-
ly complete desorption. Figure 4 is a schematic
of a  PuraSiv® HR  system  for  recovering
trichloroethylene, which  uses direct steam for
heating and desorption. Here,  the steam is
used  directly  because  the  trichloroethylene
hydrolyzes with heat and moisture to form cor-
rosive hydrochloric acid. To make a shell and
tube desorber of material  exotic  enough  to
withstand such an environment can be prohib-
itively expensive. The use of direct steam re-
quires only that the desorber walls be  corro-
sion resistant and there  can be a nonmetallic
                       Raw gas
                                                                Steam
                              Recovered   ,ank
                               solvent
                     Figure 3. PuraSiv® HR for perchloroethylene recovery.

                                              146

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                                                           Treated  gas
                  Raw gas  ,>.
              0  .  .       ,    Safety valve
              Reducing valve       7

                 r—tf
    Steam
    Compressed air
                                                                                     Cooling
                                                                                      water
                                                                            Solvent
                      Figure 4. PuraSiv® HR for trichloroethylene recovery.
coating since  there is no  need for high heat
transfer. Although the desorber is now similar
to a fixed bed, the adsorber section still offers
all of the fluidized bed advantages. Since the
desorption section has a large impact on the
capital  and operating costs of the unit, the
variations and  flexibilities  available in the
PuraSiv® HR  system allow an optimization of
processing techniques and a minimum of costs.
  The range of emission control problems that
can be solved with this process are innumer-
able.  Table 1  lists the solvents and  contami-
nants that have been commercially  treated by
fluidized bed activated carbon adsorption. The
range  of applications  treated include  6-  to
4,000-nm3/min  flows and concentrations of 100
to 10,000 ppm  by volume. A representative list
of the  commercial experience of  the Pura-
Siv  HR system to date is shown in  Table 2.
Figure 5  is a  photograph of one of these in-
stallations. The unit is used  to recover  an
        TABLE 1. FLUID BED APPLICATIONS
 Acetone
 Ammonia
 Butyl alcohol
 Carbon disulfide
 Carbon tetrachloride
 Ethyl acetate
 Ethyl alcohol
 Ethylene dichloride
 Formaldehyde
 Formalin
 Isopropanol
Methyl cellosolve acetate
Methyl ethyl ketone
Naphtha
n-Hexane
Perchloroethylene
Phenol
Toluene
Trichloroethylene
Trimethyl benzene
Vinyl chloride
Xylene
aromatic  solvent from an  adhesive  coating
vent stream. It is quite apparent that many of
these, if not actually in textile finishing plants,
are very  closely related to the problems en-
countered there.
                                               147

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Figure 5. Commercial PuraSiv© HR unit (820 nm/min).
                       148

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                          TABLE 2. PURASIV® HR COMMERCIAL EXPERIENCE
Application
Cloth washing
Degreasing
Spray coating
Chemical plant
.Film coating
Printing
Degreasing
Printing
Chemical plant
Degreasing
Adhesive coating
Foundry
Lamination
Degreasing
Magnetic tape
Film coating
Paper coating
Metal coating
Solvent
Chlorinated solvent
Chlorinated solvent
Thinner
Chlorinated solvent
Aromatic solvent
Thinner
Mixed solvent
Aromatic solvent
Alcohol
Chlorinated solvent
Aromatic solvent
Odor
Mixed solvent
Chlorinated solvent
Mixed solvent
Aromatic solvent
Mixed solvent
Mixed solvent
Flow
(Nm3/min)
20
30
120
50
250
40
40
180
30
40
820
4,000
120
50
200
100
200
300
Influent
(ppm)
4,600
3,500
100
3,560
1,680
1,450
390
1,800
1,200
600
2,710
20
2,000
1,500
2,800
1,000
550
2,800
Effluent
(ppm)
30
50
_
70
30
50
40
80
50
50
50
0.4
50
50
50
100
80
100
APPLICATION OF TEXTILE PLANT
EXHAUSTS

  Use of activated carbon adsorption and/or
solvent recovery from textile plant exhausts is
complicated by the variety of fabrics and asso-
ciated treatments involved. The fabric itself or
the colors and patterns are changed very fre-
quently.  Common textile  finishing operations
include fabric preparation (including singeing,
desizing,  scouring,  bleaching,  and  drying),
printing/dyeing  (including ageing,  washing,
and drying), and final finishing (application of
special finishes and curing/heatsetting).
  The principal variable in fabric preparation
is the inclusion or exclusion of scouring and the
need for  chlorinated solvent scouring, as with
some polyester fabrics, versus the use of water
and detergents, as with most other fabrics.  .
  In printing, combinations  of certain  dyes
with acetate or acrylic fabrics causes emis-
sions. Most other operations only evolve water
vapor (ref. 13). If print pastes used with cotton
or rayon  fabrics include significant quantities
of urea, again substantial  emissions can  be  ex-
pected. In dyeing, the dye carriers change with
colors used and fabric. All  emissions occur dur-
ing dye fixations (ageing).
  The  final finishing step basically involves
the application of resins, most based on for-
maldehyde polymers,  to bestow  properties
such as antistat, crease resistance  and water-
proofing, and heat setting the resin in a tenter
frame at high temperatures. The resin formula-
tions change with both the fabric as well as the
kind of property imparted to the fabric.
  The  exhausts could  be further  diluted by
area ventilations.

EFFECTS OF PROCESS VARIABLES

  Various parameters  significantly affect the
performance  of fluidized bed activated carbon
adsorber. These include temperature, species
of  hydrocarbons  and   their  concentrations,
quantity of moisture present, and dust loading.
The sizing of the adsorber, the choice of con-
figurations, mode of desorption, materials of
construction, and selection of ancillary equip-
ment for pre- or post-treatment of the exhaust
gases are highly dependent on these param-
eters as well as the presence of toxic or odor-
ous compounds.
  Activated carbon, in  general, has greater af-
finity  to higher molecular weight  compounds
and is effective with C4 to Ci4 (boiling points in
the range 65° C [149° FJ/1760 C [349° F]) species.
Changes in adsorber/desorber are required be-
                                             149

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yond  this range, for example, higher  boiling
organics will increase the severity of desorp-
tion.  Certain chlorinated  compounds  break
down forming inorganic acids necessitating
proper selection of materials of construction.
  The adsorption of hydrocarbons by activated
carbon is concentration dependent at a given
temperature.  Hence,  lower inlet  concentra-
tions  will require more  severe desorption to
achieve a preset degree of emission control.
  Textile  plant  exhaust  temperature  ap-
proaches or  exceeds normal desorption tem-
perature of  activated carbon. These gases,
therefore, will  require   precooling  prior  to
entering the adsorber. The degree of precool-
ing usually prescribed can easily be carried out
either with tower cooling water or with gas/
gas heat exchangers depending on the reuse
economics of the recovered heat. Close atten-
tion will have to be paid to undesirable conden-
sation of vapors in the heat exchanger. Lower
inlet  concentrations may require lower  inlet
temperatures if the  hydrocarbon recovery re-
quired is a very high percentage of  the inlet
concentration.
               Relative  humidities of up to 50 percent at
             38° C (100° F) have been easily handled in car-
             bon bed adsorbers. Depending on the mode of
             desorption, products end up with 2 to 20 per-
             cent water. Higher moisture content of the ex-
             haust gases result in more water in the pro-
             duct. Special dehumidification may be required
             if the humidity far exceeds 50 percent.
               Dust, in finishing plants, appears in the form
             of lint. Unless sticky or rendered sticky prior
             to entering the adsorber and likely to clog the
             distributor  plates, the system will allow dust
             to  pass right  through  without affecting per-
             formance.
               Levels of toxic  and  odorous hydrocarbons
             permitted in the exhaust  gases are  usually
             lower  than those  for  other  hydrocarbons.
             Often, the inlet concentrations are also low. If
             it is not possible to adsorb them along with the
             rest of the  hydrocarbons, a separate finishing
             stage is added to the fluidized bed and the ac-
             tivated carbon stream is  handled separately
             with  more  severe desorption conditions and
             the desorbed gases are usually incinerated to
             render them innocuous using less fuel than if
                    TABLE 3. APPLICATION EXAMPLES OF FLUIDIZED BED ADSORBERS
                        Solvent
Perchloroethylene   Trichloroethylene   Toluene
Inlet gas
Flow rate (nm^/min)
Temperature (° C)
Concentration (ppm/vol)

15
40
4,600

9.3
20
2,600

240
47
1,680
                   Outlet gas
                     Concentration (ppm/vol)    3040         20-30           <50

                   Desorption
                     Gas flow rate (nm3/min)    36'air'          4y(steam)     80(N2>
                     Temperature (° C)          145           110            160

                   Carbon
                     Inventory (kg)             300           90          1,500
                     Circulation rate (kg/h)       120           30            600

                   Utilities
                     Electricity (kwh)            37            2.3            22
                     Steam (kg/h)               20           50            100
                     Cooling water (ton/h)          0.6           1              3
                     Nitrogen (nmfyh)            -            _            15

                  Solvent recovered (kg/h)         20            8            100
                                              150

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the incineration were carried out without ad-
sorption/desorption.

PERFORMANCE CHARACTERISTICS OF
FLUIDIZED BED

  Table 3 illustrates the performance capabili-
ties of some typical fluidized bed activated car-
bon adsorbers. It must be noted that these are
not the performance limits.

Fluidized Bed Versus Fixed Bed

  • Adsorption and desorption can be carried
    out continuously in a single vessel.
      — There are no valves to be manipulated
         to switch vessels.
      — The  vessels  are  not  alternately
         heated and cooled, only the carbon is,
         effecting significant energy savings.
     Capital and installation costs are lower
     because of the single vessel configuration,
     elimination  of timers, valves, duplicate
     heating and  cooling  systems, emissions
     monitoring system to check bed  satura-
     tion, etc., and smaller, compact equipment
     which results from high gas flow rates per
     unit area.
     Homogeneous fluidization and continuous
     flow of carbon avoids maldistribution of
                          TABLE 4. ECONOMICS OF FLUIDIZED BED ADSORBERS
Operating conditions
Solvent
Inlet gas
Flow rate (nmfymin)
Temperature (° C)
Concentration (ppm)
Casel
Toluene
240
47
1,680
Case 2
Naphtha
940
38
105
             Outlet gas
               Concentration (ppm)

             Solvent recovery (kg/h)
             Operating time (h/yr)

             Costs

             Equipment cost ($)

             Installation cost ($)

             Space requirements (m*)

             Utilities
               Steam (kg/h)
               Electricity (kwh)
               Cooling water (ton/h)
               Nitrogen (nmfyh)

             Annual operating cost ($)

             Annual maintenance cost ($)

             Annual carbon replacement cost ($)

             Payback period (yr)
<50
100
8,000
Fluidized bed Fixed bed
200,000
50,000
37
100
22
3
15
14,400
8,000
800
2.1
180,000
75,000
75
365
44
22
38,000
15,000
1,000
2.9
8
Fluidized bed
510,000
130,000
150
33
80
0.7
0.25
21,900
20,000
200
_
26
,000
Fixed bed
500,000
200,000
200
135
140
8
44,000
40,000
2,000
_
                                               151

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    gases improving adsorption efficiency.
  • For the same reason above, hot spots are
    not formed, making  fluidized beds less
    prone to fires.

Economics of Fluidized Bed Adsorbers

  Table 4 shows cost comparisons for two dif-
ferent  applications of fixed and fluidized bed
activated carbon adsorbers.

CONCLUSIONS

  With the advent of stronger, fluidizable ac-
tivated carbon, fluidized bed carbon adsorption
of hydrocarbon emission  control and solvent
recovery has become a reality and shows dis-
tinct advantages over traditional fixed bed
operations. Maldistribution   of  gases,  asso-
ciated  with fixed beds, is minimized resulting
in the most efficient use of the carbon. Both hot
spots created by nonuniform gas distribution
and high bed temperatures, which result if the
inlet solvent  concentration is very high, are
also eliminated. Design  flexibilities permit
fluidized beds to cope with ever-changing com-
position of exhaust gases from textile finishing
plants. Compactness and continuous operation
in a single vessel  improve  the overall eco-
nomics of fluidized beds over fixed beds.

REFERENCES

 1.   V. Pantenburg, "Process for Regeneration
     of Adsorption  Material," U.S. Patent
     1,784,536, issued December 9,1930.
 2.   F. J.  Bechtold, "Regenerating Granular
     Adsorbents,"  U.S.   Patent  1,836,301,
     issued December 15,1931.
 3.   W. F. Bland, "Design .Details, Operating
    Results  of First  Commercial  Hyper-
      sorber," Petroleum Processing, July 1948.
  4.  C. Berg, "Hypersorption in Modern  Gas
     Processing Plants,"  Petroleum  Refiner,
     Vol. 30 (No. 9), September 1951.
  5.  H. M. Rowson, "Fluid Bed Adsorption of
     Carbon Disulfide," British Chemical Engi-
     neering, Vol. 8 (No. 3), March 1963.
  6.  D. A. Avery and D. H. Tracey, "The  Ap-
     plication of Fluidized Beds of Activated
     Carbon to Solvent Recovery from Air or
     Gas Streams," Institution of Chemical En-
     gineers Symposium Series No. 30,1968.
  7.  D. A. Avery and D. A. Borston, "The
     Recovery of Solvents From Gaseous  Ef-
     fluents,"  Chemical  Engineer, January/
     February, 1969.
  8.  H. Murakami, et al.,  "Method  for the
     Purification of  Waste  Gas Containing
     Gaseous  Pollutants,"  U.S.  Patent
     4,047,906, issued September 13,1977.
 9.  H. Murakami, et  al., "Method and  Ap-
     paratus for  the Purification of Waste Gas
     Containing  Gaseous Pollutants," U.S. Pa-
     tent 4,061,477, issued December 6,1977.
10.  Y. Sakaguchi, "Development of Solvent
     Recovery Technology  Using Activated
     Carbon," Chemical Economy & Engineer-
     ing  Review, Vol.  8  (No. 12), December
     1976.
11.  Anon, "Beaded  Carbon  Ups  Solvent
     Recovery,"  Chemical Engineering, Vol 84
     (No 18), August 29,1977.
12.  Y. Amagi, et al., "Method for the Prepara-
     tion of Carbon Moldings and  Activated
     Carbon Moldings  Therefrom," U.S. Pa-
     tent 3,917,806, issued November 4,1975.
13.  H. H. Northup and W. F. Turner, "Air Pol-
     lution Control in Textile Finishing," Tex-
     tile Chemist & Colorist, Vol.  7  (No. 4),
     April 1975.
                                            152

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           CATALYTIC OXIDATION  OF HYDROCARBON FUMES
                         Richard E. Githens, Donald M. Sowards*
Abstract

  The  efficiency  of fixed-bed  vapor/solids
catalyst beds has been determined and correla-
tions published  to permit accurate design of
catalyst beds. These designs have been used
successfully in textile and other applications.
All existing EPA guidelines can be met for the
oxidation  of hydrocarbon emissions if  these
design procedures are followed.
  The operating costs for fuel are substantially
less  than for thermal incineration. Both ther-
mal  and catalytic afterburners utilize heat re-
covery, recirculation, and  stack gas econo-
mizers in the design of systems.

INTRODUCTION

  The  utility of heterogeneous catalysis  in air
pollution control is well established in such
fields  as  nitric  acid manufacture,  chemical
plant emissions,  and paint bake  ovens. It  has
been equally successful, but less well known, in
the textile fibers field. This article will discuss
some of the applications of particular interest
to the textile fibers industry.

DESIGN BASIS

  There  are  many  published  reports  on
catalytic reactions in the gas phase using a
solid catalyst. The manufacture of many chemi-
cals is dependent upon a  detailed  knowledge of
the reaction kinetics, heat and mass transfer,
and  pressure drop.  Nitric  acid,  hydrogen
cyanide, and  formaldehyde are but a few of
such commercial   heterogeneous  catalytic
operations.
  Less publicized,  but equally well known to
those in the field, are the design methods  for
oxidation of hydrocarbons to carbon dioxide
and water (refs. 1,2 and Table 1). Each supplier
  *E. I. du Pont dc Nemours & Company, Int.
of catalysts has his own research data and cal-
culation methods but, for reference purposes,
the report prepared  by Shell  Development
Company for the U.S. ^n-ironmental Protec-
tion Agency will be used (ref. 3). Referring to
Figure 1, it has been found  that most of the
practical commercial installations of catalytic
afterburners are operated in  the range of flow
and temperature where  mass transfer is con-
trolling. There are at least six different forms
for the catalyst substrate and as many catalyst
compositions. For brevity, this paper will show
correlations only for three substrates and  a
single  precious  metal  catalyst (Figures  1
through 7).
  A  monolithic  honeycomb  structure  made
from  various grades of alumina or  other
ceramics is one type of substrate. Cylindrical
pellets  (1/8  in. diameter x 1/8  in. high)  are
another type of substrate or support. The third
is a wire mesh pad made of appropriate high-
temperature metallic ribbon.  All can be coated
with platinum, palladium, or other precious
metals. Not considered  here are the various
metal-oxide  catalysts that are  also used in
some applications. Miller and Wilhoyte (ref. 2)
showed that when the flow velocity and  tem-
perature are in the range where mass transfer
is controlling, the honeycomb  ceramic supports
are more efficient  than  pellets  or  metal foil
supports. Note that both  pellet beds and metal-
ribbon beds must be larger  in diameter  than
honeycomb ceramic beds to  run at the same
pressure drop. This is important because the
size of the catalyst bed affects the size and cost
of the system containing the  catalyst.

CAPITAL COST

  Each system is custom designed and there
are many variables that  can  affect the cost of
the system. Consequently two  systems  with
identical gas  flow rates  can  have widely dif-
ferent  costs. Some of the variables that  have
significant effects on cost are:
                                             153

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  •  Type  and  efficiency  of the  heat ex-
     changer, if used at all;
  •  Degree of complexity  of the instrument
     control panel and the controls;
  •  The number and type of dampers used to
     control recirculation;
  •  The type of burner train used; and
  •  The amount and  type of catalyst.
   In spite of these differences, it seems useful
to have some guidelines as to the relative cost
versus the flow rate. Several recent examples
.from our sales files attempt  to  break  them
down into broad categories. (These are shown
in Figure 5 as unit costs per SCFM versus flow
rate in SCFM.)
   • The  main  incinerator  body  including
    catalyst, plus all  the  blowers,  burners,
    controls, and instruments.
   • The recuperative  heat  exchanger and its
    associated duct work.
   Limited  personal experience with thermal
oxidation systems indicates that the total cost
of the system is very similar to the total cost
for a catalytic oxidation system but the in-
dividual breakdown  is,  of  course, different
(refs. 3,4).  The thermal  system  must ue de-
signed for higher operating temperatures.
   The spread of our  data around the curves
shown is probably ± 20 percent due to the dif-
ferences previously noted  and should be in-
dexed from June 1978.

 OPERATING COST

   The main advantage of  a catalytic system
 versus a thermal system  is the energy savings
 due to reduced  fuel consumption (refs.  5,6,7).
 The catalyst replacement  cost must  be con-
 sidered  as an  offset to  the fuel savings.
 Although suppliers usually  warrant the cata-
lytic life for only 1 year,  our experience  in
hydrocarbon applications is that  the catalyst
can last well beyond this  with proper care and
 maintenance. A good average figure would be 4
years, but we have catalysts still in use after 6
years.
   Examples chosen to illustrate the effect  of
solvent load on fuel consumption are shown  in
Tables 2, 3, and 4. At any concentration above
about 5 percent of the lower explosive limit
(LED,  the  catalyst  system  can  run  self-
sustaining and no fuel is required if a 70 per-
cent effective heat exchanger is used. Above
about 30 percent of the  LEL, the solvent con-
centration will cause enough temperature rise
that dilution must be used to prevent  over-
heating of the catalyst. For high  concentra-
tions like this, it is freqently more economic to
use thermal oxidation. However, in most tex-
tile  operations we  are operating catalytic
abatement equipment well below 30 percent of
the LEL. In most tenter frames the concentra-
tion is below 3 percent of the LEL.

INSTALLATION COST

  For a typical textile plant installation,  labor
cost for tie-ins is about 40 man-days of time
($1.50/SCFM). However,  each case must be de-
termined  individually  because  of site dif-
ferences. All of the units up to 20,000 SCFM
are skid-mounted on one skid and need only be
connected to the duct work and utilities  after
mounting on the  roof support steel. Above
20,000 SCFM, the units may be on one skid or
may be broken into two or more skids for ease
of shipping. In this case, the  pieces may be
mounted on the roof  and then Connected by
field contractors (Photographs 6, 7, and 8).

EXAMPLES OF EXISTING
INSTALLATIONS OF
CATALYTIC AFTERBURNERS

   •  A printworks in New England using a
     Thermosol oven to cure polyester/cotton
     printed fabric had  problems with visibil-
     ity and odor complaints from residents. A
     catalytic incinerator was installed, which
     solved these problems. Approximately 80
     percent of the clean, hot air is recycled to
     the oven. The net reduction in fuel costs
     was approximately $5,000/yr at 1976 fuel
     values. A thermal incinerator required to
     do the same job  was more expensive and
     would have consumed far more fuel. The
     plant engineer  stated that the catalytic
     reactor "is the only control system  I saw
     that is not energy intensive — the only
     one that does not require more energy
     than  we normally use  in our printing
     operation." (See Photograph 5.)
   •  A finishing  plant in  southern   Penn-
                                             154

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PHOTOGRAPH 1
                                    PHOTOGRAPH 2
PHOTOGRAPH 3
PHOTOGRAPH 4
                        155

-------
PHOTOGRAPH 5
PHOTOGRAPH 6
PHOTOGRAPH 7
PHOTOGRAPH 8
                       156

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                 TABLE 1. RECOMMENDED CORRELATIONS FOR TRANSPORT PROPERTIES

Catalyst typo
Torvex 2B
(1/8 in. Hexcell
Honeycomb)
S/V
(frl) e
268 0.61


L
(ft)
0.0091


X M M <
Iff) "Nu^Sh,1
0.833 NNu = 3.66 (1 + 0.095 NR Np Is) 0-45

M . = 7 cfi /i 4. n noc u u .L\0.45
                                                         f = 64/NRe(1+ 0.0445 N,,,,
                                                                            5
Thermocomb
(8 dm. Honeycomb)
                  695
                           0.6
                                   0.00345
                                             Normally
                                            0.167-0.333
                               N Nu = 2.35(1 +0.095 NReNprjj)


                               N oh= 2.35 (1 + 0.095 N noNCr t)°'4
                                Oil            nc  oC A


                               f = 53.3/N Re (1 +.0.0445 NRe^|D'5
Oxycals
                   36.5
                           0.515
         0.0133
                                                         N  -051
                                                         NNu-U.Sl
                                                                   D'56   °'333
                                                         Nsh-0.51NRe
                                                                   0.56   0.333
                                                         f = 0.5/NRB
                                                                0.15
Metal ribbon
("D" Series)
                   336
                           0.93
         0.004
                    M  - n EG u  0-5 u  0.333
                    NNu-0.55NBe  Npr
                                                         N  -DEEM
                                                         Nsh-0.55N
                                                                   °-5
                                                                 Re
                                                         f=(1-e)/e(5.2 + 3600(1-e)/NRe)


                                                         -AP = Z G 2/2e2p-gc'/L dZ + 2.1 G
                                                             o      g
Spherical catalyst pellets
                    6e
                    dp
Normally
0.35-0.4
dp
                                                         f=(1-e)/
Note: Reproduced with permission from Shell Development Company
     sylvania  was  having  similar problems
     with  visibility  complaints  from  two
     tenter frames. A  catalytic afterburner
     was installed  on  one  frame  and the
     before/after  photographs  are shown  in
     Figure 8. The energy recovery is higher
     than  in  the  first  example  because   a
     recuperative heat  exchanger is  used  as
     well as recycling of the hot, clean air.
     Operation since the first quarter of 1978
     has been satisfactory (Photographs 1, 2,
     3, and 4).
     An automotive assembly plant presently
     being constructed will have catalytic in-
                                                            cineration in all of the paint curing ovens.
                                                            They will  be using waterbase  paints,
                                                            which are quite low in solvents but con-
                                                            tain plasticizers, surfactants, and biocide.
                                                            The purpose is to eliminate any visibility
                                                            and  odor  problems and  recover  the
                                                            energy  value of the solvents in the vent
                                                            gas. A large portion of the hot, clean air
                                                            will be  returned to the ovens to reduce
                                                            fuel consumption. The smaller remaining
                                                            portion is heat exchanged with ambient
                                                            makeup air before exhausting to the at-
                                                            mosphere. Because the exhaust gases are
                                                            free of  the high molecular weight hydro-
                                                157

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                   TABLE 2. EFFECT OF SOLVENT LOAD ON FUEL CONSUMPTION
   Basis:   10,000 SCFM Total Flow
          Toluene
          AH = 17,613 Btu/lb =4,196 Btu/SCF
          No Heat Exchanger
                       Fuel Cost = $2.25/mm Btu
                       Oven Temperature = 250° F
                       Preheat required:
                         Catalytic - 550° F, Thermal - 1,250°
%
LEL
1
2
5
10
20
50
ppm
V/V
120
240
600
1,200
2,400
6,000
Meters Btu/h
AH
302.1
604.3
1,510.7
3,021.3
6,042.6
15,106.6
Theoretical
AT-°F
26.5
53.0
132.5
264.9
529.9
1,324.6
mm Btu/h
required to preheat
Catalytic Thermal*
3.1
2.8
1.9
0.4
0
0
11.1
10.8
9.9
8.4
5.4
0
'Allows credit for heat released by combustion of solvent and no heat exchanger.

Note: In both catalytic and thermal incinerators, heat exchangers can be used to provide the preheat. Catalytic after-
      burners can run self-sustaining (zero fuel consumption) at any concentration above about 4 percent of the LEL.
                                             TABLE 3.
                   BASIS:  $2.50/mn) Btu
                          Preheat 250° F •
                          Preheat 250° F-
           500° F operating temperature for catalyst
           1,300° F operating temperature for thermal
                     Fuel = SCFM  x 1.085 X (To - 250)/i^L/ 8,000 h
                                                   / UP/
                           Btu/h
 /   $    /JL
/ mm Btu/  yr
SCFM
2,000
10,000
20,000
50,000
100,000
Fuel-catalytic
13,020
65,100
130,200
325,500
651,000 	
Fuel-thermal
45,570
227,850
455,700
1,139,250
2,278,500 .
Annual $
savings vs. thermal
32,550
162,750
325,500
813,750
1,627,500
       Note:  Annual fuel costs:  8,000 h/yr if no recirculation or recovery of heat.
                                               158

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                       BASIS:  $2.50/mm Btu
                               Preheat 250° F
                                                  TABLE 4.
                      550° F operating temperature for catalyst
                               Preheat 250  F— » 1,300 F operating temperature for thermal
Fuel = SCFM x 1.085 x (To - 250)
                                                          10
                                                                 8,000 h



SCFM
2,000
10,000
20,000
50,000
100,000
. Btu/h — * -IL
mm Btu yr
$/yr
Fuel-catalytic
3,906
19,530
39,060
97,650
195,300
= $/yr

$/yr
Fuel-thermal
13,671
68,355
136,710
341,775
683,550


Annual $
savings vs. thermal
9,765
48,825
97,650
244,125
488,250
            Notes: Annual fuel costs:  8,000 h/yr if 70 percent of heat exit incinerator is recovered in some form,
                  e.g. recirculation, steam generation, air preheat.

                  Electrical costs for blower motor will average about $467/yr per 1,000 ACFM; based on $140/
                  hp-yrandSOOACFM/hp.
 * 10 r
                                                             1000
    200   300   400   500   600  "700   800  900  1000  1100
                      TEMPERATURE,°F
                                                              i.o
                                              400      800      1200      1600
                                                    SCFM/SO FT OF FACE AREA
                                                                                                           2000
Figure 1.  Effective first order rate constant and
           chemical and mass transfer rates
           contributing to it.
                                  Figure 2.  Pressure drop vs. flow.
                                                     159

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  1000
o  100 -
    1.0
                                          Fig 3
             400      800      1200      1600
                  SCFM/SO FT OF FACE AREA
                                              2000
                                                         100 r
                                                          1.0 r
                                                          O.I
                                                                                                 Fi,4
                      400      800      1200     1600
                           SCFM/SO FT. OF FACE AREA
                                                                                                    2000
Figure 3.  Heat transfer coefficient vs. flow.       Figure 4.  Ratio of heat transfer and mass transfer
                                                                      to pressure drop.
                         10000
                     SCFM (I ATM,70°F)
100000
2.0
15
10
0.5
0
10
Note ; Bused on 7000 operating hours/year
and fuel at S225/MM Btu.
Etectnca! energy is $ 140 per HP-yr
70% HX ONLY
75% RECIRCULATION ONLY
70% HX t 75% RECIRCULATION
Fig 6

30 10000 100000
SCFMd ATM, 70°F)
 FigureS. Equipment costs.
            Figure 6. Annual operating costs.
                                                   160

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        1.0—
       1.3-
    2.3
  HONEYCOMB
WIRE RIBBON
PELLETS
                    Figure 7.  Vessel diameter vs. support type.
carbons the  heat exchangers should re-
main at their  design effectiveness and
not require frequent cleaning.
A 2-piece can plant in central New Jersey
had  an  existing  thermal  incinerator
designed to handle 12,000 SCFM and was
using approximately $250,000/yr of fuel
at  1977 prices. After retrofitting with a
catalyst and reducing temperatures  to
600° F,  the  plant  engineer  says, "the
energy savings are very gratifying." The
fuel bill for the first 9 months  of opera-
tion  is $100,000 less than  during the 9
months  when thermal incineration was
used.
An aluminum coil coater in northern New
Jersey had a thermal incinerator but gas
consumption  exceeded  his  allocation,
forcing him to  use propane for  fuel. The
unit was retrofitted with a catalyst and
the temperature reduced to 600° F. The
fuel consumption dropped by more than
50  percent. As a result, the use of natural
gas was resumed and the fuel cost re-
duced by more than 75 percent.
A  2-piece can  line in  northern  New
Jersey utilized a thermal  fume incin-
erator  with a recuperative  heat ex-
changer for approximately 1 year before
retrofitting the unit with $21,000 worth
of  catalyst. Propane was the only fuel
available to the plant. After  approx-
                      imately 6 months of catalytic operation,
                      the plant manager reported his propane
                      consumption had  been reduced by  75
                      gal/h. Stack tests indicated more than 90
                      percent reduction of solvent hydrocarbon
                      at a catalyst inlet temperature of 600° F.
                      The catalyst cost was payed back in ap-
                      proximately 2 months.

                 REFERENCES

                  1.  M. R. Miller and D. M. Sowards, "Solvent
                      Fume  Abatement by  Ceramic Honey-
                      comb  Catalyst Systems," Franklin In-
                      stitute First  National Symposium  on
                      Heterogeneous Catalysis for  Control of
                      Air Pollution, November 22, 1968.
                  2.  M. R. Miller and H. J. Wilhoyte, "A Study
                      of Catalyst Support Systems for  Fume
                      Abatement of Hydrocarbon  Solvents,"
                      APCA Journal, Vol. 17, No. 12, December
                      1967.
                  3.  R.  D. Hawthorn  et al.,  "Afterburner
                      Systems Study," Environmental Protec-
                      tion Agency Contract EHS-D-71-3,  Shell
                      Development Company, Emeryville, CA.
                  4.  D. M. Sowards, Fixed-Bed Vapor/Solids
                      Contacting Device, U.S. Patent 3,977,090,
                      issued August 31,1976.
                  5.  H.  L.  Breckenridge and W.  P. Jensen,
                      "Survey of Energy Use in Metal Coil
                      Coating," Contract EY-76-C-07-1570, U.S.
                                       161

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   Dept.  of  Energy, EG&G  Idaho,  Inc.,         7.  U.S. Environmental Protection Agency,
   published February 1978.                         "Control of Volatile  Organic  Emissions
6.  "Catalyst Saves  a  Printer's  New            From  Existing  Stationary  Sources,"
   Market," Textile World, August 1976.              EPA-450/2-76-028, Vol. 1, November 1976.
                                        162

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                  RADIATION CURING FOR TEXTILE  COATING

                              William K. Walsh, B. S. Gupta*
Abstract

  This paper briefly outlines the technology of
solvent-based  fabric coating and  the  magni-
tude of the solvent emissions problem.

INTRODUCTION

  The technological changes that occur in the
fabric coating industry in the next 5 to 10 years
will  almost all be developments  directed at
reducing solvent emissions (ref. 1). The shape
and  nature of these  developments will be
determined to a large degree by  the  time
frame imposed by government regulations (ref.
2). A short time  frame will favor short-term
solutions that  will tend to become  permanent,
while a longer  period should favor more techni-
cally complex answers.  The  technology of
solvent-based fabric coating and the magnitude
of the solvent emissions problem  will be ad-
dressed further  is this paper. Solvent-free,
radiation  curable coatings will be described
and their potential for use in fabric  coating will
be compared to other possible  technical  solu-
tions to the emissions problem  that are being
examined by the coatings  industry. As is true
with  other industries with  strong environ-
mental concerns, the decisions  made on these
uncertain options will affect the fabric coating
manufacturers' future  for years to come.
Regional and national economic  well being will
also be affected to some extent, as well as our
trade balance, since  imports  from developing
countries  are already  making  significant
penetration into this market.
  Coated fabrics are textile materials covered
with  a  film-forming substance.  The fabric
serves mainly to provide strength, and the film
provides a  functional purpose  that the raw
fabric is unable to perform. The variety of dif-
ferent textile materials, coating materials, and
coating  methods result  in  a large number of
  *School of Textiles, N.C. State University, Raleigh, NC.
marketable products. The earliest coated fab-
rics were linen or jute impregnated with dry-
ing oil, leading to the name "oilcloth," which
was first produced in volume in the 18th cen-
tury.  Nitrocellulose  coatings  appeared soon
after, as did latex rubber, which produced syn-
thetic leather and rainwear that was so satis-
factory that it remained the standard for more
than 50 years (ref. 3). Synthetic polymers were
introduced  in the 1930's and are used almost
exclusively  today.  Acrylates  and  styrene-
butadiene rubbers are presently consumed in
large volume for back coating of upholstery
fabrics and carpets.  These are water-based
latices and do not constitute a major emissions
problem. The  largest uses of vinyl coatings
(plasticized polyvinyl chloride) are in  auto-
mobile tops, upholstery, and low-cost apparel.
These coatings, for  the most part, do not re-
quire solvent evaporation.
  Polyurethane-coateu fabrics  are of the high-
est cost and best quality in the field, due to a
number of desirable attributes which set them
apart from other  coatings  (ref. 3). Such at-
tributes are:

  •  warm, dry, pleasant handle,
  •  stability to washing and dry cleaning,
  •  high cold flexibility (without plasticizers),
  •  good   wear  properties   and abrasion
     resistance,
  •  high breaking strength,  elongation, and
     toughness,
  •  stability to oils and fats,  and
  •  low density.

  Urethane-coated textiles are finding applica-
tions in an  increasing  variety  of apparel,
domestic, and industrial goods. The annual con-
sumption of fabric for coating exceeds  110
million square yards and for chemicals, over 20
million pounds, figures which are on an increas-
ing trend. The two types of coating used are
direct and transfer, illustrated in Figure 1. In
the direct method, the coating collapses around
the yarns,  leaving a surface with the general
appearance of the fabric. Substantial penetra-
tion of the coating into the fabric results  in a
                                             163

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                                       DIRECT COATING
                                       TRANSFER COATING
                            Figure 1. Direct and transfer coating.
stiffer end product, depending on the coating
modulus.  This type  of  coating  is generally
given to fabrics to stabilize them against yarn
raveling and distortion (back coating), and to
reduce  penetration by  wind and  water (face
coating). Some of the major end  uses of the
face-coated  urethane fabrics are  protective
clothing, camping fabrics, military fabrics, and
industrial fabrics.
  In transfer coating, the penetration is highly
minimized by either precuring the coating to
some extent before applying it to the fabric,
napping the fabric so  that the coating adheres
to the nap rather than to the yarns, or using a
highly flexible tie coat such as foamed  poly-
urethane. All of these methods lead to a fabric
that is soft and flexible. This kind of coating is
carried out in  order  to  produce fabrics with
leather-like appearance, soft hand, and durable
properties. Applications include apparel, shoe
uppers, handbags, luggage, upholstery,  and
numerous other domestic  and industrial ap-
plications. The coating is usually cured in con-
tact with  a release paper, and the leather-like
surface is  formed   using  the  pretextured
release paper as a mold.
  The  excellent  properties attainable  with
polyurethane coating  are accompanied by two
negative parts that have limited the extent of
their use —high chemical cost and the solvent
emission problem. These are not independent,
since  the  cost  of the  solvents, which are
evaporated, contributes to the high cost of the
coatings. The urethane fabric coating section
of the  U.S. textile industry  is the industry's
largest air polluter, on a per pound (of fabric)
basis, and is a major contributor on the basis of
total emissions.  The  current production is
about 65 million square yards of leather-like,
transfer-coated (from release paper) fabrics for
handbags, shoe uppers, and apparel; and about
50 million square yards of direct-coated (mostly
rip-stop nylon) fabrics for camping and general
outdoor use. The coatings on all these fabrics
are applied at 15 to 40 percent in solvent, the
great majority of which is released into the at-
mosphere. From these production figures, total
emissions from the two processes can be esti-
mated  at  around  107 Ib/yr.  A  number of
solvents are mixed in various proportions for
different coatings, but  toluene, dimethyl for-
mamide,  ethyl  acetate,  and methyl  ethyl
ketone comprise the bulk of the emissions.
  Fabric  coaters  are  quite  concerned about
this problem and  are  currently  considering
possible solutions. Incineration of stack  gases
                                             164

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is a partial solution, but is being used only
minimally at present due to its high energy
consumption. Recovery has not been deemed
economical, mainly due to the mixed nature of
the solvents  ("randomly"  mixed recovered
solvents currently sell for only about 20
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         TABLE 1. ENERGY COST COMPARISON ELECTRON BEAM CURING VS. THERMAL CURING (ref. 5)
                                           Operation criteria
  Thermal curing
  1. Coating application - white coating on aluminum foil
  2. Solvent type coating - 35 percent solids
  3. Coating laydown - 6 Ib/ream
  4. Web width - 60 in.
  5. Line speed - 500 FPM
                              Electron beam curing
                              1. Coating application - white coating on aluminum foil
                              2. Coating type - 100 percent solids
                              3. Coating laydown - 2 Ib/ream
                              4. Web width - 60 in.
                              5. Megarad dosage - 2 megarads (could be lower)
                              6. Line speed - 500 FPM
                              7. Processor voltage - 175 kV
                              8. Processor output - 200 watts/in. = 12 kW
                              9. Power input - 17.5 kW
                                            Cost per hour
Thermal curing
Heat: 6,000,000 Btu/h (natural gas) @ $2.EO/mm Btu's = $15.00
hp (fans) 50 hp = 38 kW @ $0.02 kWh
               '0.76
Chill water - 25 tons/h
     6,600 GPH @ $0.20/m   =
     Cooling® $0.10 per ton  =
               Subtotal    = $19.58

Exhaust treatment
1.32
2.50
Gas incineration or precipitation to meet EPA requirements. Costs
normally 100 percent of processing heat costs       = $15.00
                                  Total    = $34.58
Electron beam curing
Power for curing: (electric)
     17.6 kWh@ 0.02    =$0.35
Water -1 Ton/h
     300GPH@$0.20/m =0.06
     Cooling @$0.10/ton =0.10

Inert ing gas- (using own generator)
     Fuel: 244 SCFH natural gas @ $2.50/MCF
Water: 1,920 GPH @$0.20/m
     Power: 3.6 kW@ $0.02
                                 Total
                                                                    = 0.61
                                                                    = 0.38
                                                                    = 0.07
                                                                    $1.57
                           Energy savings/year - Assuming 2 shift or 4,000 h/year basis:
                                   ($34.58 - $1.57) x 4,000 = $132,040
 gas availability. The  cost of  this energy per
 square yard of coated fabric varies from 0.5c to
 2c and is comparable  to the amortization cost
 for curing equipment, either thermal or radia-
 tion. It is essential, however, to avoid neglec-
 ting  chemical costs, which are usually much
 higher. These costs overwhelmingly dominate
 the others and this fact  makes it  necessary
 that  radiation curable  resins either require
 less chemical add-on, be either cheaper or very
 close in price to the thermally curable resins,
 or offer a  product  or some other  advantage
 great enough that the increased cost can be
 recovered  in  the  marketplace through  in-
 creased sales and/or unit prices. Fabric back
 coating, for  example,  currently uses acrylic
 latexes, at  45c to 55c/dry pound. Since radia-
 tion  curable  compositions  that  are  being
                           developed cost  considerably more  than this
                           ($1.00 to $2.50/lb), it seems doubtful that they
                           will be able to replace latexes (or vinyls) in any
                           process where  they are performing satisfac-
                           torily unless a clear product advantage can be
                           shown, or until the narrowing of the chemical
                           cost gap  and the  increase in energy prices
                           reverse  this imbalance.  Thermally  curable
                           urethane  coatings on the other hand, however,
                           cost from $1.50 to $3.50/lb. Since many of the
                           radiation  curable compositions have a  similar
                           chemical  basis, prospects seem quite good for
                           the elimination  of chemical costs as a factor
                           and  chemical savings  are probable in some
                           cases.  Introductory  prices for  100  percent
                           solids, radiation curable, light-stable formula-
                           tions suitable  for fabric  coating are  being
                           quoted in the range of $2.25/lb.
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Film Properties

  Lack  of  chemicals  available  that were
suitable for high rates  of polymerization has
been another barrier in the utilization of radia-
tion technology in the coatings of textiles. The
research on textile radiation processes in the
late sixties and  early seventies relied almost
completely on the versatile  N-methylol acryl-
amide, which has a high polymerization rate
constant, gives gel on polymerization, and has
cellulose  reactivity  through  the  methylol
group.
  The current and rapid  development of a
number of fast  curing  compositions by sup-
pliers to the coating industry has substantially
changed this  picture.  Most of the systems
designed for application in the  particle board,
can, and printing industries, however, general-
ly give cured products that are too stiff  for
more than a limited number of  textile applica-
tions. The reasons for the above compositions
tending to be stiff can be found by examining
the chemistry  of radiation curing, excellent
reviews of which are available (refs. 6,7). The
basic equations (ref. 8) for the  polymerization
rate (Rp) and the chain length  (Dp) in  a chain
growth,  addition  polymerization, illustrate
some of the problems
           DP =
                 (kt)y
                                         (1)
Rf1/2 [M]        (2)
 where kp is the propagation rate constant for
 the growing chain, kt is the termination rate
 constant for stopping the chain growth, R;  is
 the rate of initiation of growing chains, which
 is controlled by the radiation intensity, and M
 is the  concentration of monomer. As Rs is in-
 creased (which must be done to achieve high
 line  speeds), equation (2) shows  that  the Dp
 decreases.  At the  high  radiation intensities
 necessary,  the Dp of the polymers from most
 common monomers is so low that the material
 is useless as a binder or coating. This problem
 is solved by using monomers with high kp (such
 as acrylates or vinyl pyrrolidone), monomers
which form gel on polymerization (acrylates
again) or, most commonly, monomers with two
or more double bonds to give crosslinking and
build up molecular weight. As polymer begins
to form, kt decreases due to the viscosity in-
crease (diffusion of the  growing chain ends is
restricted) and rapid curing takes place. All of
these techniques, however, lead to increased
crosslinking in the cured film. As a result, most
of  the  resin  formulations that  have been
developed result in cured binder films that are
much stiffer and less extensible than those nor-
mally used  in pigment  printing.  To increase
flexibility, reactive polymers (actually  low
molecular weight [1,000],  multifunctional
oligomers) are used.  The  double bonds  are
usually located on the ends of the molecule, and
increasing the molecular weight  moves  the
double  bonds  further  apart,  reducing  the
tightness of the network formed when the dou-
ble bonds are polymerized.
  Several approaches (refs. 6,9,10) have lead to
compositions that, on curing, form elastomers
with properties approaching those normally
used in textiles.  In particular, oligomers  of
flexible   polyesters  end-capped  with  di-
isocyanates and hydroxyethyl acrylate can  be
polymerized with monofunctional acrylates or
vinyl  compounds to give  fairly   soft,
elastomeric  films. The  difunctional oligomer
leads to  crosslinking,  the degree of  which
varies inversely with the oligomer molecular
weight (or distance along the chain  between
the double bonds). It has been found, for exam-
ple, that elongation at the break of the cured
films varies  inversely with the square root of
the oligomer  molecular weight. Inclusion  of
small  amounts  of  low  molecular weight
multifunctional acrylic  monomers  lowers  the
elongation considerably (ref. 9). The  film pro-
duced by these techniques  has  many  of  the
characteristics  of urethanes,  since  the
urethane  linkage  is  used  in the  oligomer
backbone.
  Using  these approaches, several  formula-
tions have been developed that give cured film
properties adequate  for replacing  solvent-
based urethanes in  fabric coatings. However,
these are not sufficient. The fabric coating in-
dustry requires a wide variety  of  products
with a convenient range of properties such as
stiffness,  elasticity, adhesion, water and  sol-
                                             167

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vent resistance, and flame retardancy. New ap-
plication techniques must be explored to meet
the  extra demands  of 100  percent  solids
coating.  Preliminary work has been done in
these areas  (refs. 12,13,14,15) but  much re-
mains to be done.

OTHER ALTERNATIVES

  Besides the approaches of solvent recovery
or incineration,  several other coating techni-
ques are in the preliminary stages of develop-
ment and could offer potentially viable solu-
tions to the problem.

Water-Based Urethanes—
  Aqueous dispersions  of  polyurethanes  are
now available and  are  being used by  a  few
direct coaters for camping and outdoor fabrics.
Techniques for transfer coating have not been
developed for these  materials. Their  major
drawback is  their  high energy consumption
during drying and  the  accompanying bottle-
neck in drying speeds due to the higher latent
heat of vaporization of the water.

Laminating With Extruded
or Calendered Films-
  Extrusion of polyurethane  films or forming
of the films by calendering of polymer chips is
a common solvent-free technique in  the vinyl
coating industry. The equipment is very expen-
sive and only suited for large production runs
of similar materials and probably not for  the
multitude of special coatings manufactured by
urethane fabric coaters.

100 Percent Solids,
Thermoreactive Systems—
  These  are similar in principle to the  radia-
tion cured coatings  in  that polymerization
takes place on the fabric. Generally  two com-
ponents are mixed before curing. Polymeriza-
tion begins right after mixing, so it is generally
done in-line immediately before  the coating
head, a process  which is somewhat awkward
and difficult to control.

High Solids, Thermoreactive Systems—
  These  are two  component  systems with
some solvent added to  control viscosity and
minimize premature reaction.  The technique is
a compromise that would not eliminate solvent
emissions, but may make the thermoreactive
systems more practical (ref. 16).

Powder Coatings—
  Powdered polymer  is applied to the sub-
strate in a spray and is  melted and cooled to
form the coating. This technique has been suc-
cessful in some types of metal coating and is
currently  under  investigation for transfer
coating of fabrics (ref. 17).
 SUMMARY

   The use of radiation for curing of coatings
 and inks is still a relatively new technology,
 but it has  become  widely  accepted in  such
 areas as metal decorating, particle board  filler
 coatings, package printing, and clear coatings
 on magazine covers and, more  recently, on
 vinyl floor tile. The  practice, briefly, involves
 substituting a polymerizable monomer for the
 solvent, and a low molecular weight reactive
 polymer (oligomer) for the polymer. The  coat-
 ing  is cured by room temperature, in  situ
 polymerization, instead of by solvent evapora-
 tion. The free-radical polymerization is induced
 by high intensity ultraviolet light (using an ad-
 ded photoinitiator), or less commonly, electron
 beam.
   The technique has  been, therefore,  suc-
 cessfully introduced  primarily in  areas where
 traditionally coatings have been applied from
 solvent,  because  the  advantages  are  the
 greatest. Elimination of pollution, energy sav-
ings, higher line speeds, and^greatly reduced
 floor space are significant advantages,  but
eliminating the cost of the solvent is often the
deciding factor.
   Studies  of the possibilities of  transferring
this technology into the field of fabric coating
 have been initiated in this laboratory and by
others. These preliminary studies demonstrate
the feasibility and potential economic attrac-
tiveness of the method and  point out the re-
maining work to be done. This  work involves
development of  the  radiation-curable coating
formulations that  meet the needs of fabric
coaters and demonstration by fabrication and
testing of coated fabrics using these formula-
tions.
   All of the commercial radiation curing ap-
plications  to date have involved coatings on
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relatively inflexible substrates. Fabric coating,
on the other hand, requires soft, highly elastic
films after curing—properties not heretofore
obtainable by radiation curing due to the high
degree of crosslinking in the films. A great deal
of development in this area has already taken
place, but still more is needed for producing at
minimal cost, flexible films with a wide variety
of properties  suitable for the various types of
fabric uses.
   If radiation curing could be demonstrated as
a technically and economically successful way
of eliminating solvent  emissions  in urethane
fabric coating operations, it is probable that it
would be adopted by other processors of flexi-
ble substrates with similar pollution problems.
   The other techniques described here are also
deserving of  study. It is possible that a com-
bination  of radiation and  one or  more of the
other techniques  would be the answer. It is
clear that more time is needed to study these
alternatives. There is much work to be done,
however,  and the effort  must  be begun in
earnest.
REFERENCES

 1. F. Schore, Daily New Rews Record, p. 13,
    March 6,1978.
 2. R. Dorchies, Sources and Resources, Vol.
    11, No. 6, p. 25, 1978.
 3. H.-J. Koch,  "Dyeing/Printing/Finishing,"
    /rest. Textile Bulletin, Vol. 1, p. 11, 1978.
 4.  First International  Meeting of Radiation
    Processing, J. Silverman and A. R. Van
    Dyken  eds.,  and  Radiation  Phys. and
    Chem.,  Vols. 8 and 9, 1977, translation.
 5.  Data furnished  by  Energy  Sciences, Inc.,
    Bedford, MA.
 6.  S.   H.  Schroeter,  "Annual  Review,"
    Material Sci., Vol. 5, p. 115, 1975.
 7.  A. J. Vrancken, Chem. Peintures, Vol. 73,
    No.  1, p. 3, 1973.
 8.  A.   Chapiro,  "Radiation  Chemistry  of
    Polymeric Systems," Interscience, p. 132,
    New York, 1962.
 9.  W. Oraby and W. K. Walsh, "Coatings and
    Plastics Preprints," J. Appl. Polymer Sci.,
    Vol. 32, No. 2, p. 263, 1977, in press.
10.  D. D. Howard and  B. Martin, Radiation
    Curing, Vol. 4, No. 2, p. 18, 1977.
11.  A. D. Fussa and S.  V. Nablo, J. Coated
    Fabrics, Vol. 4, p. 170, 1975.
12.  W. K. Walsh and B. S. Gupta, J. Coated
    Fabrics, Vol. 7, No. 4, p. 253, 1978.
13.  W. K. Walsh and B. S. Gupta, J. Coated
    Fabrics, Vol. 8, No. 1, p. 30, 1978.
14.  W. K. Walsh, and B. S. Gupta, J. Coated
    Fabrics, in press.
15.  W. K. Walsh, et al., High Energy Radiation
    for  Textiles:  Assessment  of  a  New
    Technology," Final Report to  NSF, Grant
    GI 43105, October 1977.
16.  C. Bluestein, Sources and Resources, Vol.
    11, No.  6,  p. 27, 1978.
17.  C. Evans, Sources and Resources, Vol. 11,
    No.  26,  1978.
                                             169

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      CONTROL OF AIRBORNE PARTICULATES  IN TEXTILE PLANTS

                        Mansour H. Mohamed, Arthur C. Bullerwell*
Abstract

  It is agreed that high concentrations of dust
level in the working environment in textile plants
represents a health hazard. There is a number of
ways by which the dust concentration could  be
maintained below a certain level for every process.
New machinery is designed with more emphasis
on decreasing dust levels around them than was
done in the past  With existing machines, engi-
neering controls have been developed,  which  in
most cases,  are successful in  meeting present
Federal regulations.
  Developments in processing machinery, in ex-
haust  ventilation  systems,  and  in  filtration
technology are reviewed from the standpoint of
dust generation and removal.

INTRODUCTION

  Knowledge of respiratory problems of textile
workers has been traced back as early as 1713 in
connection with flax  and hemp mills  (ref.  1).
References to problems associated with cotton
dust go back to 1863 (ref. 2). The  respiratory
disease  resulting  from the exposure to cotton
dust, which occurs in  a certain percentage of the
work force, is called "byssinosis." Since cotton
dust regulations are the most serious particulate
control problems facing the textile industry at the
present time, this paper will deal only with this
subject.
  From 1964 to 1971, a total dust concentration
level of 1 mg/m3 was established as the ceiling
limit of exposure by the American Conference of
Governmental Industrial Hygienists (ACGIH). A
dust concentration level of 1 mg/m3 became the
Federal standard under the Occupational Safety
and Health Acts of 1970 and 1972. In 1974, the Na-
tional  Institute  for  Occupational  Safety  and
Health (NIOSH) recommended that the lint-free
dust concentration be set at the lowest level feasi-
ble, but not  to exceed 200 uglm3  of  vertical
  *School of Textiles, N.C. State University, Raleigh, NC.
elutriator cotton dust for all segments of the cot-
ton industry.

METHODS OF REDUCING DUST LEVELS

Use of Cleaner Cotton

  This means changes in harvesting and gin-
ning practices, leading to a reduction in trash
content of the cotton supplied to the textile in-
dustry. Almost all of the U.S. cotton crop is ma-
chine-harvested  by  two  methods: machine-
stripped  cotton, which is harvested by strip-
ping the  entire cotton plant, and machine-
picked cotton, which is harvested  by spindle-
type pickers. Machine-stripped cotton normal-
ly contains more  trash than  machine-picked
cotton, although reports  indicate that  true
comparisons  are almost impossible and  that
levels did not correlate well with  harvesting
methods  (refs. 4,5).
  Ginning  is performed to  remove the seed
from the cotton lint. This is the most logical
step for  trash removal. The amount of trash
removed depends  on the ginning conditions
and the number of lint cleaners used. Ginners
are always concerned with the quality of the
lint cotton and fear damaging the cotton fibers
by excessive cleaning. Although fiber damage
was found to be greater with increased clean-
ing in ginning, no one investigated if increased
cleaning  could be  balanced by a reduction in
the number of cleaners in opening lines, which
would reduce fiber damage in opening.
  The  amount of trash removed at the gin is
controlled by the amount of seed cotton clean-
ing,  the  number  of drying stages, and  the
amount of gin lint cleaning. Two stages of dry-
ing at 250° F decreased the  dust level in  a
model card room by approximately 19 percent
(ref. 4). Increasing  the number of saw-type lint
cleaners  from zero to two was reported to
cause a maximum  decrease in dust levels in a
model  card room of 37 percent in one paper
(ref. 4) and 52 percent (ref. 6) in another. Cocke
and Hatcher (ref. 5) processed conventionally
cleaned cotton through a Shirley Analyzer and
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obtained a 43 percent reduction in dust levels.

Blending Cotton With Manmade Fibers

  Although  this  would  not be  suitable for
every end-use application, it is a fact that the
amount of cotton  dust generated is directly
proportional to the rate of cotton flow through
the plant. Therefore,  a plant  using  a 50/50
polyester/cotton blend, for example, will gen-
erate 50 percent less dust compared to a plant
having to produce the same amount of 100 per-
cent cotton yarn.

Washing

  This  is known to remove the majority of
trash and dust in the cotton. This process is a
common practice in producing cotton for medi-
cal applications. However, to produce  yarns
from  washed cotton  requires  extensive re-
search to eliminate the problem of neps and the
increased friction  due to the removal of the
natural waxes that exist on the surface of cot-
ton fibers.
   Cotton has also been treated with steam (ref.
7). This process has been shown to decrease the
irritant level in the model card room, but at
present there are still questions about whether
this is an effective means to decrease byssino-
sis throughout  a cotton textile plant. The
standard did not establish a higher allowable
dust level for steamed cotton; however, mills
processing washed cottons are exempted from
the standard.

Use of Additives

  It has been demonstrated (refs. 8,9) that the
application of oils in the range of 0.4 to 1.5 per-
cent reduced the dust level by up to 94 percent.
This seems to be a very successful modification
and is worthy of consideration. It  is certain
that the use of additives will require readjust-
ments in further processes, but reports seem
to indicate only minor problems.

Development of New Machinery

  Old textile machinery was designed without
serious consideration to the dust problems. As
a matter of fact, some machines that were de-
signed  for the  purpose of separating trash
from  cotton did not have any  dust-collecting
devices. Over the last decade or two, various
machines were developed with much more em-
phasis  on  dust  removal and collection.  Ex-
amples of new machinery that help reduce dust
exposure are automated opening lines, chute-
feeding of cards, and open-end spinning. How-
ever, a large number of the machines in use to-
day are of the old design, and the  most effec-
tive method of controlling dust levels is the use
of ventilation systems.


Use of Ventilation and Filtration Systems

  Although there are general rules for the use
of ventilation  and  filtration systems, various
machines require different approaches to cov-
er the major  points of dust emission. Varia-
tions  in building size and  structure present
problems. For example, in the case of looms the
best ventilation  will be achieved when the air
vents are placed under the looms, which is not
always possible.  Every mill and every process
has to be dealt with as a separate case.
  Let carding be taken  as a specific example,
since  the  card  is  considered the  greatest
source of dust generation in a textile plant.
There are many ways by which dust is cap-
tured from  the major emission points. Suction
plenums are added  at  the doffer, cylinder,
lickerin, and other points.  In other systems,
orifices  are added over  the web takeoff area,
the coiler, and the doffer. In many systems, a
transparent cover is used over the web and
lickerin areas. Although some design  Differ-
ences exist between  systems, the  control
points are basically the same. With high-speed
cards, undercard suction is necessary.
  In most systems, the dust-laden air is passed
through two stages of filtration: primary and
secondary.  The  primary filter (sometimes re-
ferred to  as  the condenser) is a fine-mesh
screen which removes the lint in the form of a
mat that helps in filtering some of the dust.
The waste  is doffed into a hopper and is re-
moved either manually  or by means of a suc-
tion system to the waste room. The secondary
filter is generally a rotating drum covered with
a filter medium. Cleaning the dust off the filter
is continuously done by means of stationary
suction  nozzles,  and the dust is collected at a
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condenser. It  is recommended that the clean
air  be returned to the plant  air conditioning
system, which acts as a third stage of filtration.
Some of the air could be discharged to the out-
side and replaced by fresh air. The percentage
of makeup air  has a very important economical
significance. In other systems, the third stage
is an electrostatic precipitator followed by an
air washer through which the air passes before
it is returned  to the plant atmosphere.
  In other processes, the same control systems
are used. The  major differences between proc-
esses are the collection points and the rate and
pattern of airflow. Variations in dust levels and
size distribution between processes have been
reported.  The median  particle  size tends to
decrease in going from carding to warping, and
the particle  size  distribution  tends  to  be
skewed to the small end. The decrease in me-
dian  particle  size is   probably  due  to the
micronizing of trash by the cleaning operation.
The median particle size  was reported to in-
crease  in slashing and weaving areas.  The
chemical nature of the dust  in  slashing and
weaving was found to  be different, due to the
chemicals added on the yarn during slashing.
Based on these facts, the cotton dust standard
treats the slashing and weaving areas differ-
ently from  other textile operations, as men-
tioned earlier.
  In drawing, dust control consists of collect-
ing the air from  the drafting roll  cleaner
system and  filtering it rather than blowing the
dust back into the room. The use of hoods over
the creel area is advised. In combing, the col-
lection of dust at  the aspirator for  further
filtration, control of dust from  the drafting
zones and suction slot  at the coiler are  recom-
mended. Hoods might also be installed over the
combing area. In spinning, the broken ends col-
lection system is used to collect dust, which is
then removed in a central filtering system. In
most  of these operations, it  is  preferred to
move the air downward through the machines.
  Due to the large volumes of air handled, air
velocities at  the  filters  are normally high.
Economically, it is advantageous to use high
velocities.  However,  filtration   efficiency  is
reduced and the pressure drop across the filter
is increased with the increase in air velocity.
This presents a definite need for research on
the development of high-efficiency economical
filters for  fine cotton dust.  The use of elec-
trostatic precipitators for  the  control of fine
cotton dust also requires further study. Wash-
ing the collecting plates might be turned into a
water treatment problem.
  An experimental wet-wall electroinertial air
cleaner has been developed by the researchers
at the USDA Southern Regional Research Cen-
ter in New Orleans, Louisiana (ref. 10). Its
design consists of a vertical tube  equipped
with coaxial charging wire and an air entrance
tangential to the periphery of the tube so as to
impart rotational flow. Dust entering the tube
is charged  by  corona from  the wire and is at-
tracted to the  tube wall by combination of the
electrical centrifugal'forces.  A film  of water
flows down the inner wall of the tube, washing
the dust down to a discharge sump. Dust re-
moval efficiency of up to 99.0 percent with a
10.16-cm (4-in.) diameter, 1.22-m (4-ft)  long unit
operating at 5.66 m3/min (200 ft3/min) air flow
rate was reported.

CONCLUSIONS

  1. Cotton dust concentrations could be re-
     duced by  many ways, such as improving
     ginning conditions, use of additives, and
     blending with synthetic fibers.
  2. Control  technology using local  and
     general ventilation systems with two or
     three stages of filtration seems to be the
     most successful method of lowering dust
     concentrations to levels near or below the
     levels required by the cotton dust stand-
     ard. However, economic pressures on the
     textile industry will be increased due to
     the capital and running costs of such
     equipment. In addition, every  plant and
     every process has to be  dealt  with on a
     case-by-case basis, which makes it neces-
     sary to custom design the air-cleaning
     equipment.
  3. The  textile  machinery industry  has
     placed more emphasis on  dust cleaning in
     the design of new machinery.  Thus, the
     severity of the dust problem  in textile
     plants is expected to reduce considerably
     in the future.
  4. There is still a need for the development
     of high-efficiency, economical filters  to
     capture fine cotton dust at high air veloci-
                                              173

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    ties without excessive pressure drop.
  5. The use of additives and washing of cot-
    ton may require significant changes in
    processing and have yet to be proven eco-
    nomically feasible  on a mill level.

REFERENCES

 1.  B. Ramazzini, "Diseases of Workers," De
    Morbis Artificum of 1713, W. C. Wright,
    translator, Hafner Publishing Co., New
    York, 1964.
 2.  National Institute  for Occupational Safe-
    ty and Health, "Occupational Exposure to
    Cotton Dust," NIOSH Report, U.S. De-
    partment of Health, Education, and Wel-
    fare, Washington, DC, 1974.
 3.  "Occupational Exposure to Cotton Dust,"
    Federal Register, Vol. 43, Part III, June
    23, 1978.
 4.  J. B. Cocke, R. A. Wesley, I. W. Kirt, and
    R.  V.  Baker, Effects  of Harvesting and
    Ginning Practices on Mill Dust Levels,
    The Cotton Gin and Oil Mill Press, Decem-
    ber 18,1976.
 5.  J.  B.  Cocke and  J.  P. Hatcher,  "Dust
    Levels in Experimental Card Room as In-
    fluenced by Cotton Variety and by Har-
     vesting and Ginning Methods," Transac-
     tion of the ASAE, 1975.
 6.  S. P. Hersh, R. E. Fornes,  and E. V.
     Caruolo, "Respirable Dust Levels Devel-
     oped While Processing Cotton in a Model
     Card Room," Cotton Dust, Proceedings of
     ACGIH Symposium, Atlanta, GA, Novem-
     ber 12-13, 1974.
 7.  C. Michaels and D. Whisnant, "Manufac-
     turing  Aspects of Steaming Raw Cotton
     To Minimize Toxic  Effects  Upon  the
     Human Respiratory System," Engineer-
     ing Control of Cotton Dust, proceedings
     of a  conference at Clemson University,
     July 26, 1972.
 8.  J.  B. Cocke,  H.  H. Perkins,  and C.  K.
     Bragg,  "Use of Additives to Reduce Cot-
     ton Dust Levels," America's TextilesR/B,
     March 1977.
 9.  R. E. Fornes, R.  D. Gilbert,  and S.  P.
     Hersh,  "Collection  and  Characterization
     of Cotton Dust in a Model Card Room,"
     Beltwide  Production Research Confer-
     ence, Atlanta, GA, January 10,1977.
10.  D. P. Thibodeaux, A. Banil Jr., and R. B.
     Reif, "A Wet-Wall Electroinertial Precipi-
     tator: A Highly Efficient Air Cleaner for
     Cotton Dust," IAS 76 Annual.
                                            174

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Session IV: SOLID WASTE POLLUTION CONTROL TECHNOLOGY



             P. Aarne Vesilind, Session Chairman
                         175

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                    TEXTILE SLUDGE CHARACTERIZATION

                         Robert G. Shaver,* Deborah K. Guinant
Abstract

  Analysis of sludge samples from six textile
industry segments has shown that metals and
organic wastewater pollutants concentrate in
the solid phase of the sludge. The six industry
segments sampled  were wool scouring,  wool
fabric dyeing and finishing, woven fabric dye-
ing and  finishing,  knit fabric  dyeing and
finishing, carpet dyeing and finishing, and yarn
and stock dyeing and finishing. Approximately
2,000 of the more than 5,000 textile operations
in the United States fall into these segments.
  The amount of sludge generated in 1974 on a
dry/weight  basis  was  approximately 38,430
metric tons. This accounts for about 12 percent
of the total waste generated by the textile in-
dustry in 1974. Of the total sludge generated
approximately 0.5 percent was determined to
be heavy metals content with less than 0.1 per-
cent chlorinated organic material. The heavy
metals found included arsenic, cadmium,  chro-
mium, cobalt, copper,  lead, mercury, nickel,
and zinc. The concentrations  of these heavy
metals found in the  various textile industry
segments range from 3,600 ppm in yarn and
stock dyeing and finishing to 21,000 ppm in
wool fabric dyeing  and finishing. The bulk of
these metals are washed or rinsed from fabric
into a mill's  wastewater treatment system
from  such  operations as  scouring incoming
greige goods, dyeing and printing cloth, yarn,
and carpet,  and applying various finishes. The
chlorinated organics were not specifically iden-
tified,  but  such  compounds  as  trichloro-
benzene,  polyvinyl chloride,  perchloroethyl-
ene, and others are commonly used as solvents,
dye carriers, and finishing agents.  The  total
chlorinated  organics found in  the  sludges
analyzed range in value from 0.11 to 64.7ppm.
  *Versar, Inc.
  t
   Association of American Railroads.
INTRODUCTION

  The information presented in this paper is
the result of a study Versar performed for the
U.S. Environmental Protection Agency under
Contract No. 68-01-3178 to assess the industrial
hazardous waste practices of the textiles  in-
dustry. The program began in April 1975 and a
final report was delivered in June 1976.

TEXTILE SLUDGE GENERATION

Processes

  For the purposes of this study, the textiles
industry was  classified into the  seven cate-
gories that had been used earlier in an EPA ef-
fluent guidelines study for this industry. It was
agreed upon by the American Textiles Manu-
facturers Institute (ATMI), Versar, and EPA
that the best method for categorizing the  in-
dustry was by process, not product. These pro-
cess categories and the Standard Industrial
Classification (SIC) codes are given in Table 1.
Six  of these categories,  excluding greige
goods, have wet processes such as scouring,
dyeing, printing, and finishing, which generate
wastewaters that are treated onsite or sent to
publicly owned treatment works. These treat-
ment systems generate  various  amounts  of
sludge containing a variety of heavy metals
and other chemicals related to textile process-
ing.
  Of the more than 5,000 textile plants in the
United  States,  2,007  were  identified  as
performing wet  operations and thereby gen-
erating wastewater. The remaining plants fall
into  Category C and  perform only such dry
operations as  knitting and  weaving. Greige
goods  facilities  also  have  yarn  preparation
operations which include finishing yarn destin-
ed for knitting in an oil or wax emulsion and
slashing warp yarns used in weaving with car-
boxymethyl cellulose (CMC), polyvinyl alcohol
(PVA), or starch. But these operations gen-
erate no wastewater.
  In the study,  Versar visited a total of 80
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plants representing approximately 16 percent
of the total production in the seven textiles in-
dustry segments. The major effort was focused
in Categories D, Woven Fabric Dyeing  and
Finishing,  and E,  Knit Fabric Dyeing  and
Finishing,  since over 69  percent  of  textile
plants are engaged in either woven or knit dye-
ing  and  finishing.  Wastewater   treatment
sludges from 14 selected plants were sampled
and analyzed to determine, in some measure,
the composition of this land-destined waste.
Each plant was composite-sampled once  per
week for 4 weeks, taking samples from  the
clarifier underflow. The sludges were analyzed
for heavy metals and chlorinated organics. The
total  number of samples  analyzed was 112.
Details on  the sampling techniques, analytical
methods, and pollutant parameters measured
are presented in a later section of this report.

Location and Industry Breakdown by
Process

  Table 1  shows  the distribution  of  textile
plants by industry  category. A breakdown of
the number of plants performing dyeing  and
finishing operations by EPA region is given in
Table 2. As shown in the breakdown in Table 2,
91  percent  of  the  plants that  potentially
generate wastewater treatment sludges were
located in EPA Regions I, II, III, and IV with 50
percent located in Region IV alone. Also,  the
textiles industry as a whole is heavily concen-
trated in the eastern part of the United States.
  The 2,007 plants with wastewater loads  are
approximately 37 percent of the total number
of textile operations in the United States. The
remaining 63 percent are dry operations.
  Because  the industry was categorized on a
process-oriented basis rather than by product,
Table 3 shows the distribution of the plants by
State and by process. Table 4 summarizes  the
process distribution.
  Over 62  percent of the  textile  plants are
engaged in greige  goods manufacture. Of  the
remaining plants that perform dyeing and/or
finishing operations, over 69 percent are in  the
woven fabric and knit fabric dyeing and  fin-
ishing categories.

Amount of Sludge Generated

  The amount of sludge generated in each of
the six wet processing categories was deter-
mined for "typical" plants in each industry
category. The characteristics of a typical plant
are determined by industry survey in consul-
tation with industry personnel. In all cases the
sludges arose from wastewater treatment.
  In looking at the sludge disposal problem, an
interesting phenomenon was noted. Sludge dis-
posal was found to be typically necessary in on-
ly two industry categories, Wool Scouring, arid
Woven Fabric Dyeing and Finishing. All plants
visited in the Wool Scouring category found it
necessary to dispose of sludge. About  40 per-
cent of the plants (56 percent of the category
production) engaged in Woven Fabric  Dyeing
and Finishing category found it necessary to
dispose of excess sludge. Most  facilities in the
other industry categories generate sludge at a
low enough  rate to preclude the need to dis-
pose  of any  excess. Therefore, a distinction
was made between sludge requiring disposal
(wasted) versus that left accumulating in treat-
ment  ponds (retained) (see Table 5).
  Figure 1 summarizes the estimated State-by-
State distribution of total wastewater treat-
ment  sludges. This illustration shows that 78
percent  of  sludges are generated  in EPA
Regions I, II, III, and IV.
  It was  estimated that 488 plants of the 2,007
identified, which perform wet operations, have
wastewater  treatment facilities (24 percent).
ATMI estimates that  these  488 plants com-
prise  65 percent of the total production of the
2,007  plants. The remaining  1,519 plants use
municipal sewage treatment, which transfers
the problem  of  sludge disposal and its asso-
ciated costs to the municipalities. About 7 per-
cent of the plants visited contributed 50 to 95
percent of the total wastewater load  to the
municipal sewage treatment  system. Several
of the municipal treatment facilities were con-
structed  with plant funds and turned over to
the municipality for  operation and  mainte-
nance.
  Ninety-six percent of the 488 plants with
treatment systems are generating sludge  in
unlined aeration basins with potential for per-
colation  to  underlying strata. Four  percent
were  found to have concrete lined aeration or
settling basins. The lined ponds were found to
be most prevalent in Category A, Wool Scour-
ing, where 67 percent  of the plants use them.
Category E, Knit Fabric Dyeing and Finishing,
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was the only other industry category found to
be using lined ponds to the extent of 12 percent
of the plants in the category.

TEXTILE SLUDGE
CHARACTERIZATION

   Analysis of sludge samples from the six tex-
tile  industry  segments found  metals  and
organic wastewater pollutants to be concen-
trated in the solid phase of the sludge. The
heavy metals found include arsenic, cadmium,
chromium,  cobalt, copper,  lead,  mercury,
nickel, and zinc. The bulk of these metals are
washed or rinsed from fabric into a  mill's
wastewater treatment system from operations
such as scouring incoming greige goods; dyeing
and printing cloth, yarn, and carpet; and apply-
ing various finishes. Total chlorinated organics
were determined but not further specifically
identified.

Sampling Techniques and Analytical
Methods

   A  representative number of dyeing and
finishing mills in each  category  except C,
Greige  Goods, was sampled and the  plants
were chosen to be representative in terms of
processing and fiber types used. Four-hour
composite wastewater treatment  sludge
samples were collected from clarifier  under-
flows  returning   to  aeration   ponds.  Two
separate sets of samples were taken, one for
heavy metal  and  one for chlorinated organic
analyses. Sampling was repeated at each plant
once a week for 4 consecutive weeks.
   Samples earmarked for heavy metal analysis
were acidified with nitric acid to a pH of 2 for
preservation. The  samples for organics analy-
sis were not acidified and were handled very
carefully to  avoid  contamination. Total solids
content  was measured  on  unpreserved
samples.
   Sludge solids contents were below 2 percent
and  atomic  absorption  was appropriate for
determining total  trace metals. The samples
for atomic absorption analysis were digested
by heat and acid,  the residue redissolved in
acid, and sample volume adjusted with distilled
water. The  samples were then  filtered to
remove insoluble  materials  and  aspirated
directly into the flame source. The absorbance
was recorded and the corresponding metal con-
centration determined.
  Alternate methods were used to determine
mercury and arsenic. Mercury concentration
was measured by the flameless atomic absorp-
tion method using a quartz lamp as a radiation
source to vaporize the mercury. Arsenic  was
determined either by atomic absorption or by
the silver diethyldithiocarbamate method.
  To verify that most of the heavy metals were
associated with the solid phase, the sludge
samples — nonacidified  samples — were  cen-
trifuged  and the solids dried and  digested.
Then  the atomic absorption  method, as men-
tioned above, was used.
  The suspended  solids measurement was
made  by filtering,  drying,  and weighing  a
known volume of sample.
  Chlorinated organics were determined from
the  nonacidified  sludge  samples  by  gas
chromatography. The samples were prepared
by adjusting the pH to between 6.5 and 7.5, ex-
tracting  with  methylene chloride in hexane,
concentrating  the extract  on an evaporating
hot water bath, and injecting the extract into a
gas  chromatograph.  The  concentration  of
chlorinated organics was then calculated by in-
tegrating the output absorption trace.

Results  of Sample Analysis

  Heavy metals  are  generally   found  in
municipal and industrial  wastewater  treat-
ment  sludges, however, we found no published
data  concerning the  composition  of textile
plant wastewater  treatment sludge. During
this program selected samples were analyzed
for metal content to determine the distribution
of metals between the  liquid and solid phases
of the sludge. This was accomplished by com-
paring the results of atomic  absorption  analy-
sis  of digested samples of the entire sludge
(solid and liquid phases) and  of the suspended
solids separated from the liquid phase in non-
preserved samples.  Table 6 shows an example
comparison of these metal concentrations and
the metal concentration calculated  from them
for the liquid phase (dissolved). Most  of the
heavy metal content of the sludge is  in the
solid  phase and not dissolved. The exceptions
are lead, manganese, and zinc. Most of the lead
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and large parts of the manganese and  zinc
were apparently dissolved.
  Chlorinated organics determinations for all
samples were made on both the liquid and sus-
pended  solids phases. Table  7 compares the
results from five woven fabric dyeing  and fin-
ishing plants. Similar differentials between li-
quid and suspended solid phases of chlorinated
hydrocarbon concentrations were found from
other textile industry categories. Note that the
concentrations in the liquid phase are all below
the drinking water standard  of 0.7 ppm for
total organics.  Like  the heavy metals, most
chlorinated hydrocarbons were found  in the
suspended solids phase.
  Table 8 summarizes the results obtained on
the five woven fabric  dyeing and finishing
plants  sampled for all  measured parameters.
On a  dry  sludge basis,  concentrations of
various heavy metals and chlorinated organics
are far above drinking water limits.
  Table 9 summarizes the average total heavy
metal and chlorinated organics found from all
industry categories.

TREATMENT AND DISPOSAL PRACTICES

Treatment

  A flowsheet  of the  prevalent wastewater
treatment technology is shown in  Figure 2.
Plants in all textile industry  categories were
found to  retain  sludge  in unlined aeration
ponds, and Categories A and D were found to
dispose of excess sludge  in general purpose
landfills, dumps, and/or landspreading on farm
land. A few plants in  Categories A and E were
found to retain sludge in lined aeration ponds
and  one plant in Category   E disposed of
dewatered sludge in an approved landfill.

Disposal

  There  are  various   disposal and   waste
management practices being used for sludges
by the textile industry.  Discussions of five of
these practices follow.

Lagoon Storage  or Retention—
  Wastewater treatment  sludges  are being
stored and retained in  the wastewater treat-
ment systems, either in disposal ponds or in
the bottom of ponds  or lagoons that are used
for aeration and  activated sludge treatment.
As this sludge builds up, it  will eventually
reach the level where other storage or disposal
will be necessary.

Land Dumping —
   Land dumping of  wastewater  sludges  is
practiced  by some textile  plants. Some in-
stances of onsite dumping were found.

Land Spreading —
   Wastewater treatment  sludges  have some
fertilizer value and in some instances are being
sprayed or spread on land for this  value.
Various techniques are used, often  utilizing
farm-type  equipment or irrigation-type spray
units.

General Purpose Landfills—
   Some plants  send their wasted sludge to
general purpose landfills. These landfills are
characterized by  their acceptance of a wide
variety of wastes, including garbage and other
organic materials, and  usually by the absence
of  special  containment,  monitoring,  and
leachate treatment provisions.
   Only one instance was found where  an ap:
proved landfill site was used for disposal of
dewatered sludge. This was in EPA Region III.

Wet Oxidation of Sludge—
   We found one plant that had installed a wet
oxidation process (Zimpro Process) for treat-
ment  of wastewater sludge. This uses liquid
phase oxidation  of wastes at high tempera-
tures  and  pressures and has the operational
flexibility of achieving either partial or nearly
complete oxidation, as  needed. Wet oxidation
can reduce the amount of sludge and make the
remaining sludge easier to dewater. It also con-
verts  much of the  nonbiodegradable organic
material (measured as COD) to either oxidized
innocuous   components or   biologically  de-
gradable material which can be recycled to the
plant  wastewater treatment system for des-
truction. This operation had not been  in use
since 1972 because the small amount of sludge
generated  in  the  wastewater  treatment
system made the equipment uneconomical to
operate.
  All   plants  with  wastewater  treatment
systems retained some sludge in their treat-
ment  ponds. Disposal of sludge is necessary
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only when the solids level in the wastewater
treatment system builds to a point where the
efficiency of the biological system would be af-
fected. In Table 10 is a summary of plants
visited that dispose of sludge.  Local off site
disposal of sludge is usually within 16 km (10
miles) of the plant. Some of the plants that used
onsite disposal of wasted sludge preferred to
dispose of the sludges offsite in sanitary land-
fills and were seeking permission  from local
authorities to do so.
CURRENT REGULATORY
STATUS
  Wastewater treatment sludges from several
textile industry categories:
    SIC 2231 - Wool Fabric Dyeing and
              Finishing,
    SIC 2261 - Woven Fabric Dyeing and
              Finishing,
    SIC 2250 - Knit Fabric Dyeing and
              Finishing,
    SIC 2269 - Yarn and Stock Dyeing and
              Finishing,
    SIC 2279 - Carpet Dyeing and Finishing,
              and
    SIC 2299 - Wool Scouring

have  been  incorporated  by EPA  into  the
September 12,1978, draft of regulations under
Section 3001 of RCRA (PL 94-580), which deals
with criteria ami listing of hazardous wastes.
This draft is currently being circulated within
the agency and to  interested parties for com-
ments.
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               DEWATERING OF WASTE ACTIVATED  SLUDGE
                                  Eugene J. Donovan, Jr.*
Abstract

  Sludge dewatering is often an integral step
in the ultimate disposal of solids removed from
wastewater  treatment systems.  Waste  acti-
vated sludge from  biological treatment con-
tains 95 to 98percent moisture and is relatively
difficult  to dewater. There  are  a number of
alternative dewatering processes  available,
each of  which  may have several variations.
Processes may include land spreading for solar
evaporation, sand bed drying with or without
chemicals,  and various  mechanical systems
which usually incorporate chemical addition.
These  include  vacuum  filters,  centrifuges,
pressure filters, and the relatively new belt
filter press devices.
  The selection of  an appropriate and cost-
effective dewatering system  involves the eval-
uation of the process performance on the speci-
fic  sludge,  consideration of the  ultimate dis-
posal selected for the sludge, and various site
specific factors. This paper reviews the applica-
tion of the various sludge dewatering processes
to waste activated sludges and outlines a step-
wise approach to  the evaluation and com-
parison of alternatives.  Typical results and
costs for dewatering waste  activated  sludge
are presented herein.

INTRODUCTION

  Dewatering of waste activated sludge is an
element in the handling and ultimate disposal
of the excess sludge produced  by biological
treatment  of  textile  plant  wastewater ef-
fluents. Dewatering processes remove water
from a sludge to the extent that its physical
form is changed essentially from that of a fluid
to  that of a damp solid. Major dewatering
methods include vacuum filters, centrifuges,
pressure  filters,  belt filter  presses,  sand-
drying beds, lagoons, and land spreading. The
  *Senior Engineer, Hydroscience, Inc., Westwood, NJ.
decision to incorporate a dewatering step into
a sludge handling scheme is based  on the re-
quirements of the ultimate sludge disposal op-
tion selected, which  is usually site specific.
Conversely,  the  ultimate  disposal  method
selected is a factor in the evaluation and selec-
tion of an appropriate sludge dewatering proc-
ess. Figure 1 shows  the relationship of de-
watering  alternatives in various sludge hand-
ling schemes. The application of the  various
sludge  dewatering processes  to  waste  ac-
tivated sludges is reviewed, and an approach
to  the evaluation and comparison of  alter-
natives is presented, including data on perfor-
mance, sizing, and costs of the alternatives.

WASTE ACTIVATED SLUDGE
CHARACTERISTICS

  Excess  activated sludge is generated by the
conversion of a fraction of the organic matter
in wastewater to biological cells. The quantity
of excess sludge depends on the biological sys-
tem design (flood to microorganism ratio), raw
waste characteristics, and effluent solids. For
textile wastes, the solids production generally
ranges from 20 to 50  percent  of the BOD re-
moved, plus the influent solids incorporated in-
to the  sludge, less effluent solids. Typical ex-
tended aeration systems utilized in the textile
industry produce a relatively stable waste ac-
tivated sludge, whereas sludge from high-rate
systems  may require  further  stabilization,
through digestion, prior to dewatering or dis-
posal.
  Waste activated sludge from secondary clar-
ifiers is a liquid  containing 98  to 99.5 percent
water. Gravity or dissolved  air flotation may
be incorporated  into sludge-handling systems
prior to dewatering or disposal.
  The  water  contained in  the sludge is distri-
buted into three general classifications, free or
between-cell water, bound or capillary  water,
and intercellular water. Free water can largely
be  removed  by  thickening  or by  drainage.
Dewatering devices are utilized to increase the
rate and amount of free water removal, and to
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                   Figure 1.  Schematic diagram of sludge handling alternatives.
form  a cake.  Various  organic  and inorganic
chemicals are utilized to neutralize the bonding
forces by coagulating sludge particles and free-
ing the bound water for subsequent removal by
dewatering devices. Intercellular water, which
requires rupture of the cell wall to free  the
water, is not removed to any great degree by
dewatering systems.
  Removal of free water from activated sludge
produces a sludge of 4 to 6 percent solids, while
removal of the bound water by chemical condi-
tioning and dewatering results in sludge  cakes
containing from 12 to 25 percent solids. Fur-
ther reduction in the moisture content involves
evaporation and heat drying.
MECHANICAL DEWATERING
ALTERNATIVES

  Figure 2 is a schematic diagram of the major
elements of the plate and frame pressure filter
and of the rotary drum vacuum filter dewater-
ing systems. These systems generally require
substantial quantities  of chemicals, typically
ferric chloride coagulant and lime, for dewater-
ing of waste activated sludges. Polymers have
been utilized in place  of the coagulants, and
other materials such as pulverized ash  or ce-
ment dust have been used for body feed. A pre-
coat may be applied to the filter media prior to
sludge dewatering to prevent blinding, to in-
crease solids capture, and to allow  easier cake
discharge. In the case  of the filter press, the
precoat would be applied in a thin cover on the
filter media prior to each filtration cycle, while
for a precoat vacuum filter, the precoat would
be applied as a relatively thick layer  which
would  be gradually shaved off along with de-
posited sludge  cake  as the  rotating  drum
moved past a discharge knife.
  The filter press is operated on a batch basis.
Each cycle consists of load, pressure,  drain,
and cake discharge steps, and ranges from 2 to
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   FERRIC
  CHLORIDE
  STORAGE
   TANK
                  Figure 2.  Flow diagram — vacuum filter and pressure filter.
4 hours. The rotating vacuum filter operates
continuously. Sludge is  picked up on the re-
volving drum from the vat, passes through a
drying zone, and is discharged from the media.
  The pressure applied to the sludge in the
pressure filter by the feed pump is limited by
practical   design  considerations. However,
since increased pressure can reduce cycle time
and increase cake solids, pressures of about 7
atm for activated sludge dewatering have been
found to be satisfactory. The vacuum filter util-
izes a vacuum to draw water from the sludge
and is therefore limited  by the vacuum which
can be applied, usually in the range of 35 to 60
cm of mercury.
  Historically, the  vacuum filter has been
widely used for dewatering wastewater treat-
ment sludges.  The use of the pressure filter,
however,  has received more attention in  the
last several years due to potential economic ad-
vantages  in  situations where  drier  and less
sludge cake  is advantageous  for subsequent
sludge processing, such as incineration or long
hauls to limited landfill sites.
  Bench-scale testing  is conducted  to deter-
mine chemical requirements. Optimum chemi-
cal dosages can be determined by the Buchner
funnel test or the capillary suction timer test,
in which sludge is dosed with varying amounts
of chemicals and the relative ease with which
free  water can be removed is measured.
  Small cells or  pilot units are available to
determine the need for precoat, the volume of
sludge after dewatering, and  cycle time  re-
quired to  size the pressure filter. A standard
leaf test in which a vacuum is applied on 93 cm2
(0.1 ft2) of filter media in a sludge sample  for
various time periods can provide information
required  for  media  selection  and sizing a
vacuum filter. Appropriate scaleup factors are
applied to leaf test data when  used  for sizing
full-scale  systems.  Pilot scale  testing to  op-
timize design parameters and  to obtain vari-
ability data on a sludge may, at times, be advis-
                                             185

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 able, particularly for large installations, or
 where comparisons of specific types of equip-
 ment  or various  dewatering  systems  are
 desired. In  general, for smaller sludge quan-
 tities or in cases where only small quantities of
 sludge from pilot treatability studies are avail-
 able, design parameters are developed from
 bench tests and from experience with similar
 sludges. Figure 3 presents typical pilot  test
 data on dewatering activated sludges with the
 pressure filter and vacuum filter. Final cake
 solids  are  based  on total solids  including
 chemicals.
    Figure 4 is a schematic diagram showing the
 major elements for dewatering sludges by cen-
 trifuge and the relatively new belt filter press.
  Both systems utilize  polymers to agglomerate
 sludge particles into  large masses and to free
  bound water.
    There are various  types of centrifuges, but
 the solid  bowl countercurrent  centrifuge,
 which is in effect a high-rate settling unit, is
 the type most commonly selected for sludge de-
 watering. This type of centrifuge consists of a
 bowl and conveyor that rotate at slightly dif-
 ferent speeds. A conical section  in the bowl at
 one end forms the dewatering beach on which
 the conveyor screw pushes sludge solids to out-
 let ports. The centrate discharges over a weir
 that controls the depth of sludge in the  cen-
 trifuge. Polymer is usually injected into the in-
 let line to the centrifuge. Major  variables  that
 affect the performance of the  centrifuge in-
 clude  the pond depth, rotation speed, differen-
 tial scroll speed, feed rate, and sludge condi-
 tioning. Full-scale designs  should be based on
 scaleup from pilot tests, where possible, since
 bench tests do not provide the needed data on
 throughput and cake  solids performance.
   The belt filter press has been  quite exten-
 sively used abroad and is rapidly growing in
 popularity in the United  States. In Europe
 there are over  1,000 installations, while in the
 United States there are predictions that up to
 400 or more  units will be installed in  1978-79.
 There are some 8 to 10 manufacturers of vari-
 ous types of  belt filter devices, each of which
 has different patented  features and configura-
 tions. Typically, a belt press will consist of
 three distinct operations. The first is a simple
gravity drain section in which the bound water
freed by chemical addition is removed. The sec-
ond operation involves  the gradual pressing of
the sludge between two converging parallel
moving belts under tension. The third section
is a shear zone, where the sludge between the
two  belts is  passed over a series of rollers,
causing the formed sludge cake to shear, fur-
ther releasing more bound water. Some equip-
ment incorporates an optional fourth stage,
which exerts higher pressures on the sludge to
maximize  water  removal.   On  activated
sludges, however, this stage only increases the
cake solids by a  few  percent  at most. Bench-
scale tests can be used to determine approx-
imate  polymer dosage requirements,  and a
hand squeeze  test of  sludge  between  two
pieces of the press belts can provide an approx-
imation of the cake solids. The sizing of equip-
ment depends to  an extent on the dewatering
rate in the gravity drain section. Laboratory-
scale belt press tests are conducted to develop
design sizing. There are no general standards
for measuring the actual throughput of sludge.
Manufacturers  have  been  developing data
through pilot testing, however, the measure-
ment of actual throughput and performance of
a machine is best determined by pilot testing.
Various  manufacturers  have  mobile  units,
which can be used to develop a design sizing.
  Figure 5 presents  results of several pilot
dewatering tests using the centrifuge and belt
filter press. The lower polymer requirements
and higher cake solids generally achieved by
the belt filter press compared to the centrifuge
can be noted. Generally, it was found that dos-
ages above the minimum polymer dosage re-
quired to agglomerate the sludge particles
resulted in a slight increase in cake solids. The
range  of  results  with different  belt press
machines and different sludges indicate the
desirability  of  pilot  tests  for  final  system
scaleup and sizing.

LAND DEWATERING OF SLUDGES

  Dewatering of  sludges on land includes the
use of open or closed sand-drying beds, lagoon-
ing, and application to the land. Sludge that is
dewatered by a land method should be relative-
ly stable to achieve satisfactory results and to
minimize odors. For leachate and runoff drain-
age from land disposal sites, consideration of
potential effect on surface and groundwaters is
required. The necessity for under drainage,
normal for sand-drying beds but optional with
                                              186

-------
 100
                         RANGE OF TEST
                         RESULTS
                                        PRESSURE FILTER
                       NOTES:
                          FEED SOLIDS- 2.0 -2. 5%
                          CHEMICALS - Fe C I3+ LIME - 30 -70% WT
                          FINAL CAKE SOLIDS- 28-34%
                          FINAL PRESSURE  - 100  PSI
                          80         120
                        CYCLE TIME (WIN)
160
200
-LBS/HR/SF
01 C
Z 2
Q
Q
_l
tr I
UJ
b
U_
0.5
0.
\VACUUM FILTER
LEGEND:
%FEED
PLANT SOLIDS
• - A 2.2
• • - B 1.9
\ 0 - C 2.1
^P (11 FeCly+UMf
>.
\
\°
\
MINIMUM FORM \
TIME FOR CAKE >
npi rA^r ju 1 /A". . . - *.
I till
0.2 0.5 1.0 2 3
CHEM'"CAKE
25% 8%
42% 16%
20% 1 2%





I 1
4 5
                        FORM TIME (MIN)
Figure 3. Vacuum filter and pressure filter WAS dewatering test results.


                            187

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     DILUTION
                                                               BELT FILTER PRESS
     WASTE ACTIVATED SLUDGE
                                                           CAKE
                                                        DISCHARGE
                                                                                CENTRATE
                    Figure 4.  Flow diagram - belt filter press and centrifuge.
lagooning and land applications, requires eval-
uation. Many parameters affect the design and
selection of a land dewatering system. A prin-
cipal mechanism is  drying through evapora-
tion; therefore local climatic conditions such as
amount  and  rate  of  precipitation,  air
temperatures,  humidity,  wind velocity,  and
percentage of sunshine are particularly rele-
vant to a design.
   Sand bed designs generally consist  of en-
closed  beds  with  an  underdrain'  system,
overlaid with several  layers of gravel  and a
layer of sand. Sludge  is applied to the sand
layer at depths consistent with design  condi-
tions for the drying time and sludge cake con-
sistency desired. The design of the beds is in-
fluenced by the length  of time required for the
sludge to dewater to a consistency at which it
can be removed from  the  bed and hauled to
final disposal. Use of covered beds will greatly
reduce the time required for dewatering, and
conditioning chemicals such as polymers will
also  accelerate  dewatering. Drying periods
range from 1 to 2 weeks with chemicals, and
from 2 to 6 weeks or more without chemicals,
depending  on weather conditions.  Sizing of
sand beds  is based on local experience and
general design factors. Testing on  test sand
beds can be conducted to obtain data on drying
time, cake consistency, and underdrain quality,
and factored with weather conditions to devel-
op design sizing.
  A sludge drying lagoon is a low-cost, simple
system for sludge dewatering that has been
commonly  used in the United States. Sludge
lagoons are generally not recommended since
they are particularly susceptible to odors and
nuisance conditions. They  can stabilize and
consolidate sludge with very  little attention
though, if properly sized and operated. Typical-
ly sludge is deposited in a lagoon at depths of 2
to 4 feet. Water drains into the soil or is evapo-
rated. Under drains may be used where drain-
age to groundwater is not acceptable, or where
permeable  soils are not available. Two lagoons
are usually provided, one being filled, one be-
                                              188

-------
   14
h-
Z
UJ
o
or
UJ
a.
CO
o
CO
Ul
<
o
  SOLID BOWL CENTRIFUGE
               DIA.
      NOTES:
        FEED SOLIDS - 1.5 - 2.0 %
        POLYMER  15-25  LBS/TON
                                  I
       10      15     20     25     30
                  FEED RATE GPM
                                                      35
                       40
                    45
   18
IT
UJ
W f
O

JS'°
UJ
<  8
o
                                                 BELT FILTER PRESS
LEGEND:
    UNIT
  • -A
  • — B
  o-c
  A—D
WIDTH  %FEED  RECOVERY
 M   SOLIDS  AVG %
  I
  2
  I
 0.5
                                           1.5
                                           2.5
                                           1.0
                                           2.7
95
96
93
87
10      20     30      40     50      60
                   FEED RATE  GPM
                                                        70
                         80
                      90
 Figure 5. Belt filter press and centrifuge WAS pilot plant dewatering test results.
                                189

-------
ing  allowed to  dry out. Following  drying
periods of 3 to  5  months or more, the de-
watered sludge is removed with  a front-end
loader and  hauled to disposal. Sizing drying
lagoons can be based on local experience and
small-scale tests, factoring in climatic condi-
tions. Where land is available, relatively con-
servative design factors can be used in the ab-
sence  of local experience or testing.  Area
should be reserved for expansion of the lagoon
system in the future,  should actual  results
necessitate more volume.
   Sludge spreading on  land is receiving some
attention in the last few years and has been
done at a number of locations. The effects of
various factors and the development of loading
parameters are in the developmental stage.
Groundwater contamination and the effect of
the sludge constituents on a crop grown on the
land are factors to be evaluated in a specific ap-
plication. Where  land can be dedicated to
sludge  disposal  only,  high  rates of sludge
spreading may be feasible. The sludge is incor-
porated into the soil and there is limited to no
vegetation. Rainfall runoff and leachate must
be adequately considered in a design of a land
application system. Discing deposited sludge
can prevent  surface  blinding and minimize
odors; the need for and advantages of this pro-
cedure should be evaluated. Sizing of land ap-
plication systems depends upon a variety of
considerations, including sludge nutrients, salt
and heavy metal content, type crop, if any, to
be grown and harvested, soil type, land charac-
teristics, groundwater, and  aesthetics. Each
site requires an evaluation of the  various fac-
tors. Where feasible, particularly for large in-
stallations, test plots should be operated and
monitored for at least 6 months to a year.

EVALUATION AND COMPARISON OF
ALTERNATIVES

   The selection of an  appropriate and cost-
effective sludge  dewatering  alternative re-
quires the consideration and evaluation of the
various factors relating to a specific case. An
overall  approach  is suggested here, although
many of the factors involved are quite specific
to a given situation and their importance may
be weighted differently from plant to plant.
  Table 1 outlines the procedures for develop-
ing and selecting an overall sludge dewatering
 plan. The initial task is to establish the sludge
 quantity and characteristics, either from data
 from an existing system or using the design
 basis for a yet-to-be-built treatment plant. Con-
 sideration  of  future loads, present  sludge
 handling  practices,  if any, average and max-
 imum sludge production rate, and the effect of
 storage on sludge handling rates are included.
 Potential sludge reduction alternatives such as
 inplant recovery of waste  constituents,  or  a
 digestion step prior to dewatering would be
 considered at this point to  identify feasibility
 on a preliminary basis.
   An evaluation  of potential ultimate disposal
 alternatives will provide information on the re-
 quired characteristics of  the solids  to be  dis-
 posed, and consequently, dewatering require-
 ments. Availability, cost,  and feasibility of the
 use of land sites for possible land application or
 landfill should be  determined. The possible
 need to reduce sludge or  landfill should be de-
 termined. The possible need to reduce sludge
 quantities to a minimum by incineration due to
 unavailability of landfills or high hauling costs
 requires an early evaluation.
   Bench-scale tests are conducted on potential
 dewatering  alternatives  at this point,  and
 using these results along with general typical
 information, as is shown  in Tables 2 and 3,  a
 preliminary  screening and consideration of
 sludge dewatering alternatives can be made.
 Available data from similar installations can be
 evaluated to aid in developing sizing and costs,
 and to evaluate extended operational perform-
 ance and operating cost  factors,  particularly
 for the newer and/or different types of specific
 equipment available. State and local regula-
 tions on land disposal and landfills are also con-
 sidered in the screening process.
   At this point a  decision usually can be made,
 and one or two sludge dewatering alternatives
 selected for detailed evaluation. Although vari-
 ous activated sludges generally have the same
 characteristics,  they  also  have  differences
 which can effect  the performance of dewater-
 ing systems. It is therefore advisable to per-
 form  pilot-scale   tests,  when  possible, to
 demonstrate performance and provide confir-
 mation of preliminary bench-test sizing param-
eters. In some cases, side-by-side comparisons
of different sludge dewatering systems and dif-
ferent equipment may be desirable  for com-
parison of performance. Extensive  testing,
                                             190

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         TABLE 1. PROCEDURES FOR DEVELOPING AND SELECTING A SLUDGE DEWATERING PLAN
     1. Define sludge quantity and characteristics

       A. Average - maximum quantities
       B. Effect of sludge storage on rates
                                     C.  Identify potential sludge reduction alternatives
     2. Define ultimate disposal alternatives and sludge solids requirements

     3. Bench scale evaluation of alternatives compatible with probable ultimate disposal

     4. Preliminary sizing and capital and operating costs evaluation of alternatives

     5. Pilot scale evaluations of indicated system(s) for final design parameters and performance confirmation

     6. Final design sizing of dewatering system(s)

     7. Final development of overall sludge handling plan(s)
                                  Financial strategies


     8.  Selection of overall plan and required equipment
Capital cost estimate
Operating cost estimate
however, is not always necessary, particularly
for smaller  installations  where the effect of
conservative design  parameters would have
only slight  effect  on the  final cost of  the
dewatering system. An example of this would
be the case where the minimum standard size
equipment capacity exceeds the design sludge
quantity.
  With process design and performance param-
eters established,  the  selected  dewatering
alternatives are sized, based on sludge  quan-
tities,  full-size  equipment  capabilities,  and
operational requirements. At this point, with
characteristics of the sludge cake  known,  fur-
ther evaluation of the ultimate disposal alter-
natives  available may be made. Additionally,
the cost of the dewatering step can be com-
pared with identified potential  sludge  reduc-
tion alternatives, and a decision on reduction
steps may be made. Following finalization, the
proposed  total sludge handling plans are re-
viewed  and capital and  operating cost esti-
mates prepared. The type of dewatering equip-
ment can be selected and quotes  for specific
equipment obtained for an t conomic analysis of
the sludge handling plans. Factored into these
cost analyses would be the company's financial
strategies for  dealing  with  capital  and
                                             operating expenditures for pollution control.
                                               Finally, with all relevant factors considered,
                                             the overall sludge handling scheme and the
                                             dewatering alternative can be selected.
                                               Table 2 presents performance data for four
                                             types of  mechanical  dewatering  equipment.
                                             The results shown are based on literature data
                                             and  actual test data developed  in  several
                                             studies  conducted by Hydroscience. The belt
                                             filter press arid centrifuge use  polymers  for
                                             sludge conditioning.  Although polymers gen-
                                             erally constitute a major part of the sludge
                                             dewatering costs, they are very effective, and
                                             eliminate the bulk chemical storage, handling,
                                             and feed systems generally associated with the
                                             filtration systems. The cake solids and recov-
                                             ery are comparable for the belt filter press and
                                             vacuum filter; somewhat lower cake solids and
                                             capture are noted for the centrifuge, while the
                                             pressure  filter  produces  the highest cake
                                             solids, and achieves virtually complete  solids
                                             capture. Table 2 shows the remaining moisture
                                             content based  on sludge  solids, a significant
                                             consideration particularly if the sludge is to be
                                             incinerated.  It  also  gives the approximate
                                             volume of cake  solids per ton of sludge solids,
                                             which must be figured into sizing landfills and
                                             determining  haulage costs.
                                               191

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     TABLE 2. PERFORMANCE ESTIMATES FOR MECHANICAL DEWATEBING OF WASTE ACTIVATED SLUDGE
Dewatering
device
Belt filter
press


Solid bowl
centrifuge



Vacuum
filtration
Recessed
plate
Pressure
filter

Chemical
Polymer



Polymer




FeCIa
Ca(OH)2
FeCl9
4v
Ca(OH)2
Precoat

Dosages*
2.5-10



0-10




60-100
200400
60-200

200-500
25

Approx.t
chemical Unit sizing
cost criteria
12-45 115-180 kg
per hour
per meter of
belt width
045 135-225 kg
per hour per
56 cm diameter
x 1.7 m long
machine
20-35 5 to 15 kg
per hour/m^
28-66 0.5 to 1.0 kg
per hour/m?
25 mm thick cake
2 to 4 hours
cycle
Cake
solids
cone.
(percent)
10-20



6-10




12-18

24-30




Kg water*
Approx. remaining
% solids per kg dry
recovery sludge solids
90 6.7



50-90 11.5




93 7.8

99 4.1




Cubic meters
of cake
per ton dry
sludge solids
6.6



12.4




8.9

5.3




  * Dosage = kg of chemical/metric ton of dry sludge solids.
  * Cost = dollars/metric ton of dry sludge solids.
  * Based on average cake solids
     Feds - $165/ton, polymer - $4.40/kg
     Lime -  $55/ton, precoat  -$220/ton.
   Table 3 presents performance and general
 design parameters  for land  alternatives for
 sludge dewatering. These techniques typically
 do not require chemical conditioning, and rely
 primarily on draining and evaporation for de-
 watering. The importance of general climatic
 conditions for design, and local weather condi-
 tions for operation is obvious. Normally use of
 sand beds requires return of the drainage to
 the treatment facility. With drying lagoons and
 high-rate land applications, however, evapora-
 tion rates, soil conditions, and leachate quality
 will determine the  necessity  of  returning
 supernatant and leachate to treatment. Leach-
 ate is usually not returned from low-rate land
 application in which nutrients are incorporated
into a harvested crop and other constituents
such as  Ijeavy metals are  adsorbed  and re-
tained in  the soil. The 2-step operation asso-
ciated with drying beds and lagoons—sludge
application and sludge removal after dewater-
ing—is indicated by the range of time between
applications. Since with land application the
sludge is incorporated into the soil, that proc-
ess is also considered an ultimate disposal
scheme. Table 3 shows approximate cake solids
for each alternative and relative land require-
ments, based on an average loading for  1 ton
per day waste sludge solids, are presented.
  Table  4  presents  a cost  comparison for
mechanical  dewatering systems. The equip-
ment selected was based on the unit sizing
criteria, Table 2, and standard-sized manufac-
turers units. Equipment costs, which include
chemical storage and feed systems, represent
an approximate average estimate for the type
of equipment  indicated,  and  are probably
within ±20 percent of current quoted  costs.
                                              192

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                     TABLE 3. PERFORMANCE AND GENERAL DESIGN CRITERIA FOR
                           LAND ALTERNATIVES FOR SLUDGE DEWATERING
System
Open sand
drying beds


Covered sand
drying beds
Drying
lagoons

Land
applications

Sizing criteria*
1. No chemicals - 50 to 100 kg/m2/yr, 4 to 6 weeks between
applications
2. Polymers - up to 400 kg/m2/yr, 1 to 3 weeks between
applications - drainage returned
No chemicals - 100 to 200 kg/m2/yr, 1 to 3 weeks between
applications - drainage returned
30-50 kg/mfyyr, 0.5 m to 1.25 m depth
3 to 5 months drying time, supernatent returned
lining may be required, 2 or more lagoons used
1. Crop-nutrient uptake-1.25 to 5.0 kg/m2/yr
2. Noncropland, drainage returned, up to 25 kg/m2/yr
storage during wet or cold seasons may be required
Land
required
acres/ton/d*
1.2

0.4

0.7

14.3
^

30
4.5

Cake sludge solids
40 to 50 percent

40 to 50 percent

40 to 50 percent

25 to 40 percent


Sludge
incorporated
into soil
*Dry sludge solids basis.
t Average sizing used.
      TABLE 4. COMPARISON OF MECHANICAL DEWATERING ALTERNATIVES (ESTIMATED CAPITAL AND
          OPERATING COSTS BASED ON 1,100 METRIC TONS/YR WASTE ACTIVATED SLUDGE SOLIDS
                               CONTINUOUS OPERATION - 300 DAYS/YR)
Equipment
One 1-meter belt
filter press
One-22"0x 66"
solid bowl centrifuge
One - 300 ft2
vacuum filter
One - 90 ft^ capacity
pressure filter
Equipment
costs „
($xifj3)*
100

130

135

200

Total
installation
costt($x103)
220

290

320

450

Operating
power
(hp)
10

50

50

20

0/M.
labor
(h/yr)
365

2,000

4,200

7,000

0/M costs §
($/ton dry
(sludge solids)
20-55

35-80

65-90

100-145

  * Equipment costs approximate - vary with manufacture; includes major chem feed equipment.
  * Total installation - 2 to 2.5 times equipment costs; building and utilities not included.
   Labor requirements from reference 7.
  § 0/M costs include power at 3^/kWh, labor at $10/h, spare parts at 2 percent equipment cost, and chemical costs in Table 1.
   Amortization of equipment and final disposal of sludge not included in 0/M costs.)
                                                193

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                TABLE 5. COMPARISON OF LAND DEWATERING ALTERNATIVES (ESTIMATED)
                 CAPITAL AND OPERATING COSTS BASED ON 1.100 METRIC TONS/YR WASTE
                                    ACTIVATED SLUDGE SOLIDS)
System
Sand drying beds
4 acres open
Drying lagoons
1 million gallons, 7.5 acres
Land application/
crop -110 acres
High loading 20 acres1'
Capital*
costs
($x103)
420
120
300
175
0/M
labor
(h/yr)
6,600
150
3,100
2,100
0/M Costs*
($/ton/dry sludge solids)
45-80
2-6
3045
20-35
               * Land costs do not include pumping and transmission to and recycle from land site.
               t Includes underdrains.
               * 0/M for pumping and transmission costs not included - variable site specific. (Costs for
                ultimate disposal of sludge removed from drying beds or drying lagoons not included.)
 Total installation cost is based on factoring the
 equipment costs and includes engineering, con-
 tractor costs, foundations, controls, and asso-
 ciated piping and electrical work. The belt fil-
 ter press,  solid bowl centrifuge, and vacuum
 filter capital  costs are comparable, whereas
 the pressure filter costs are somewhat higher.
   The chemical feed systems required for the
 bulk chemicals used with vacuum filtration and
 pressure  filtration  affect  capital  costs.
 Although advances in polymer chemistry and
 use of polymers for conditioning in some cases
 have replaced these bulk chemicals, the nature
 of activated sludge has generally required the
 bulk chemicals for filter application.
   Chemical costs are the  major part of the
 operating and maintenance  costs;  however,
 power and labor are significant particularly for
 the  filtration processes. It  may be noted that
 labor costs for pressure filters may vary con-
 siderably with the  type  of equipment and
 degree of automation. All of these estimates
 would require  final  evaluation  in  a specific
 case. As noted on  the  table, costs for final
 sludge haulage and disposal are not included.
 These costs are site specific and can be signifi-
 cant to the  extent that they will influence the
 final selection of the dewatering alternative.
  Table 5 compares relative costs for land de-
watering  alternatives.  Sand-drying  beds re-
 quire  substantially less area, but they  are
 structured  units. Consequently, capital costs
 are  significantly higher for  these than  for
 earthen drying lagoons with liners or for  the
 preparation of relatively level, lightly  vege-
 tated land on which to spread or inject sludge.
 The labor requirements reflect the frequency
 of removing sludge from the drying beds and
 lagoons, and the application of the sludge in the
 land application schemes.
  It should be noted that land costs, if any, or
 special land preparation costs, as well as the
 costs for construction and operation of pump-
 ing  and  transmission  facilities  to transfer
 sludge to the dewatering site and the return of
 leachate or  supernatant are not included, since
 these costs are highly site specific and can vary
 substantially. They should, however, be includ-
 ed in the final cost evaluation of these alter-
 natives for a specific case. The costs presented
 for these alternatives are somewhat less pre-
 cise  than those developed for the mechanical
 dewatering systems.

CONSIDERATIONS FOR SELECTION OF A
 DEWATERING PROCESS FOR EXCESS
ACTIVATED SLUDGE

  As previously mentioned, selection of a de-
watering alternative is  site specific and to a
                                              194

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large  extent depends upon the ultimate dis-
posal technique. Nevertheless, certain general-
izations concerning the various techniques can
be made based on the  information  and data
generated and summarized in this paper.
  Land application that includes  ultimate dis-
posal appears to be a cost-effective solution to
dewatering and disposal, given two provisions.
Adequate suitable land must be available, and
the various concerns with respect to designing
for reasonable loading rates, i.e.  the handling
of runoff and  lechate  and  nonobjectionable
aesthetics, must be adequately addressed.
  Lagoon drying is a low-cost dewatering solu-
tion, but is more susceptible to problems with
odors and unsightly conditions than land appli-
cations. Also periodic sludge removal to ulti-
mate disposal is required with this method.
  Sand beds, while demanding less land than
the other land alternatives,  are  high in both
capital  cost  and  labor  cost  due to frequent
sludge removal. Here, also, the sludge must be
hauled to ultimate disposal.
   As with all  equipment, the machinery for
 mechanical dewatering alternatives is subject
 to  breakdown, and the need for repairs and
 replacement requires consideration. Numerous
 manufacturers offer various  types  of equip-
 ment with different features and costs. Selec-
 tion of the  equipment best  applicable to a
 specific case requires an  evaluation  of these
 aspects based on mechanical design and oper-
 ating experience of the equipment being con-
 sidered.
   Of the mechanical dewatering  systems, the
 relatively new belt filter press equipment ap-
 pears to be the most cost effective system to
 produce a sludge cake suitable  for disposal.
 The pressure filter is a probable alternative in
 the event incineration or long-distance hauling
 is required. However, the desirability of charg-
 ing an incinerator with the large quantities of
 ferric chloride and lime used for  conditioning,
 and of subsequently disposing  of significant
 quantities of ash, requires consideration. Use
 of the vacuum filter for dewatering activated
 sludge  appears to be less cost effective than
 the belt filter press and therefore would prob-
 ably no longer be considered in most cases for
 this type application.
   Dewatering with centrifuges does not pro-
 duce  as dry  a cake as the other  alternatives;
 yet centrifugation may  be applicable  in  a
sludge handling plan wherein chemical use is
minimized, and cost benefits are achieved by
producing  a  thickened, semifluid  sludge  for
subsequent handling by digestion,  heat treat-
ment, or land disposal.


REFERENCES


 1.   National Council of the Paper Industry for
     Air and Stream  Improvement, "A  Pilot
     Plant  Study of Mechanical Dewatering
     Devices  Operated  on Waste  Activated
     Sludge,"  Technical  Bulletin   No.  288,
     November 1976.
 2.   U.S. Environmental Protection Agency,
     Process Design Manual for Sludge Treat-
     ment and Disposal, EPA 625/1-74-006, Oc-
     tober  1974.
 3.   W. E. Garrison, J. F. Stahl, L. Tortorici,
     and R. P.  Micle, "Pilot Plant  Studies of
     Waste Activated Sludge Processing," J.
     Water Pollution Control Federation, Vol.
     50, No. 10, p. 2374, October 1978.
 4.   G. T.  O'Hara, S. K. Raksit,  and D.  R.
     Olsen,  "Sludge Dewatering Studies  at
     Hyperion  Treatment  Plant,"  J. Water
     Pollution Control Federation, Vol. 50, No.
     5, p. 912, May 1978.
 5.   E. Cole, S. Corr, and J. Albert, "Sludge
     Dewatering in Textile Plants," Industrial
     Wastes,  January/February 1977.
 6.   National Council of the Paper Industry
     for Air and Stream Improvement,  "Full
     Scale Operational Experience With Filter
     Presses  for Sludge Dewatering in the
     North  American  Pulp  and  Paper  In-
     dustry," Technical Bulletin No. 299.
 7.   U.S. Environmental Protection Agency,
     Operators Manual • Sludge Handling and
     Conditioning, EPA 430/9-78002, February
     1978.
 8.   R. V. Villiers and J. B. Farrell, "A Look at
     Newer Methods for Dewatering Sewage
     Sludges,"  Civil  Engineering  ASCE,
     December 1977.
 9.   P. N. Cheremisinoff,  "Sludge Handling
     and Disposal —A Special Report," Pollu-
     tion Engineering, January 1976.
10.   J. A.  Bell, R. Higgins, and D. G. Mason,
     "Dewatering:  A  New  Method  Bows,"
     Water and  Wastes  Engineering,  April
     1977.
                                             195

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11.  American  Society  of  Civil  Engineers,       14.
    Wastewater  Treatment  Plant Design,
    ASCE Manual No. 36,1977.
12.  U.S. Environmental  Protection Agency,
    "Proceedings of the Joint Conference on       15.
    Recycling  Municipal Sludges  and Ef-
    fluents on Land," 1973.
13.  -J. A. Mueller, "Land Disposal of Sewage       16.
    Sludge — State of the Art," Hydroscience
    Internal  Research  Report,  September
    1976.
G. J. Bisjak and A. E. Becher, "Wausau
Solves Dual  Problems by  Using Filter
Press," Water and  Wastes Engineering,
February 1978.
A. E. Dembitz, "Belt Filter Presses: A
New Solution to Dewatering," Water and
Wastes Engineering, February 1978.
U.S. Environmental  Protection  Agency,
"Costs of Wastewater Treatment by Land
Application,"  EPA  430/9-75-003, June
1975.
                                          196

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                RATIONALE FOR SLUDGE MANAGEMENT IN A
                       WASTEWATER TREATMENT PLANT

                                    P. Aarne Vesilind*
Abstract

  Sludge management in wastewater is expen-
sive and can be troublesome. This paper pre-
sents three basic "laws" for sludge manage-
ment which, it is suggested, can reduce costs
and problems  with sludge handling.  These
three guidelines are:
  1. Don't hold sludges,
  2. Don't mix sludges, and
  3. Don't recirculate sludges.
  If these laws are followed, dewatering costs
can be reduced, odor problems alleviated, and
environmentally acceptable ultimate disposal
of the sludge facilitated.
 INTRODUCTION

  A wastewater treatment plant exists for the
 purpose of producing an essentially clear ef-
 fluent that can be discharged into the environ-
 ment without adverse impact. The design engi-
 neer and plant operator therefore  are mostly
 concerned with  the liquid processing within
 the plant, and solids management becomes im-
 portant only when the plant malfunctions.
 Often, these upsets can be avoided by following
 a few fairly simple  guidelines for sludge man-
 agement within a plant. Malfunctions, from the
 operator's viewpoint, are either effluent qual-
 ity problems forcefully brought to his attention
 by State or Federal inspectors, or sludge prob-
 lems which usually consist of having too much
 of a bad thing and nowhere to put it. The objec-
 tive of this paper is to focus on the latter prob-
 lem-sludge handling—and to present some
 general guidelines, which in the author's opin-
 ion will reduce the costs and headaches asso-
 ciated with wastewater sludge management.
  *Associate Professor of Civil Engineering, Duke Univer-
   sity, Durham, NC.
THREE LAWS OF SLUDGE
MANAGEMENT

  Stated  concisely,  these  laws  of  sludge
management are:
  1.  Don't hold sludges,
  2.  Don't mix sludges, and
  3.  Don't recirculate sludges.
  As is the case with any generalities, these
are not always applicable. However, they have
been found to be true at enough plants to war-
rant  discussion.

Holding Sludge

  Holding sludge (saving it, storing it, etc.) is
usually the doing of a plant operator, and the
procedure is often dictated by  the vagaries of
the labor force. It should nevertheless be the
aim of an operator not to hold sludge  before a
subsequent operation such as dewatering. Al-
though this principle seems to be especially ap-
plicable to raw primary sludges, the holding of
digested sludge (and the resulting cooling) has
been shown to cut the  capacity of mechanical
dewatering to one third of the  original (ref. 1).
  One clear outward sign of impending trouble
is bubbling primary clarifiers,  due  to holding
raw  sludge in the primary clarifiers, and the
subsequent gas formation within the settled
raw sludge. This will decrease the efficiency of
solids removal, as well as place an extra load on
the alkalinity of the anaerobic digesters. Sludge
should be pumped from the primary clarifiers
at sufficiently frequent intervals so as to avoid
septicity.

Mixing Sludge

  The second  axiom, "Don't mix sludges," is
violated by both design engineers and plant op-
erators. For example, experience seems to in-
dicate that the discharge of excess waste acti-
vated sludge to the head of the  plant results in
deterioration of the primary clarifier perform-
ance, significantly increases  the  volume of
                                            197

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sludge pumped, and necessitates more frequent
pumping due to increased septicity problems.
  It has been known for some time that when a
raw primary sludge is mixed with waste acti-
vated sludge, the mixture assumes many of the
undesirable characteristics of waste activated
sludge.  It is, for  example, very difficult  to
mechanically dewater a 1:1 mixture of raw pri-
mary and waste activated sludge. The excel-
lent dewaterability of raw primary sludges is
sacrificed when mixed with secondary sludges.
  It is,  however,  necessary  to achieve the
highest solids concentrations possible before a
process such as anerobic digestion, since the
governing operational parameter in anaerobic
digestion is solids retention time. One means of
achieving this has been to blend the raw pri-
mary and waste activated sludges in a gravity
thickener (ref. 2).  This has  at times caused
operational problems such as floating sludge
and odors, mainly due  to the oxygen-starved
nature of the sludges. A more reasonable solu-
tion seems to be the gravitational thickening of
primary sludges and the use of floatation thick-
eners  for aerobic secondary  sludges, with
blending  following the separate  thickening
operations and then subsequent anaerobic di-
gestion. In plants where this type of scheme
has been instituted, the solids dewatering has
improved markedly and operational problems
have been reduced, (ref. 3)
  Another example of improved operation by
not mixing sludges is the scheme of  using
anaerobic digestion for raw primary sludge
only, and employing aerobic  digestion for the
waste  activated  sludge. These stabilized
sludges can then be blended and dewatered at
a cost significantly lower than the alternative
of mixing prior to stabilization  (ref. 3).

^circulating Sludge

  The final rule, "Don't recirculate sludges" is
probably the most difficult of the three laws to
promote, since the recirculation of various sun-
dry process streams to the head of the plant is
almost a  knee-jerk reaction  for design engi-
neers. These streams can, however, impose a
significant excess solids load on the process.
  Consider a 10 mgd plant which has a gravity
thickener for the primary and waste activated
sludges  (5,080 kg/day  at 4 percent solids and
7,130 kg/day at 1 percent solids, respectively)
and a centrifuge to dewater the anaerobically
digested sludge. The solids recovery of the
thickener and centrifuge is 90 percent and 80
percent  respectively,  and  the supernatant
from the secondary digester has a solids con-
centration of 2 percent with digester influent
and effluent solids of 5 percent and 8 percent
respectively. What fraction of the total solids
load on the treatment plant is produced by the
return flows from the thickener, centrifuge,
and secondary digester?
  1.  Thickener overflow, with 90 percent solids
     capture, is

       0.10 (5,080 kg/day + 7,130 kg/day)
            =  1,221 kg/day.

  2.  The total solids flow into the anaerobic di-
     gester is thus

       0.9 (5,080 kg/day +  7,130 kg/day)
            =  10,989 kg/day.

    Of this solids load, assume 20 percent is
    lost (gas plus dissolved solids) so that the
    digester effluent solids (supernatant +
    underflow)  is 8,791 kg/day, while 2,198
    kg/day is lost in  the digestion. Mass bal-
    ance on the  digester in terms  of the
    sludge solids is

       inflow =  underflow +  supernatant
                + loss in digestion
                  10,989 kg/day
             =  x Ib/day + y Ib/day
                + (-2,198 kg/day).
    The mass balance in terms of total liquid
    is
       inflow =  underflow + supernatant
         10,989           x
         ~
     Solving the two simultaneous equations:

       x -  solids in underflow
         =  2,930 kg/day
       y =  solids in supernatant
         =  3,663 kg/day.
  3.  The centrifuge operates  at  80  percent
     solids  capture  on the underflow, so that
     the concentrate contains
                                             198

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  0.2 (2,930 kg/day) = 586 kg/day.
The total contribution of recycled solids is
thus
  1,221 kg/day  + 3,663 kg/day
        + 586 kg/day =  5,470 kg/day.
Since  the  plant influent  carries  8,527
kg/day, the recycled  solids increase  the
total solids load on the plant by
      12,060
      18,800
X  100  = 64 percent.
  In addition to the total magnitude of the ad-
ditional solids load on the plant, the types of
solids recirculated are almost exclusively the
fine, difficult to handle solids. More than one
treatment  plant operator has found himself
inundated with  these fine solids, at the even-
tual expense in treatment efficiency. The only
solution in such cases is to clean the plant out.
In the design and operation of a plant, there-
fore, one should not recirculate  solids if at all
possible. In the example above, the 2 percent
solids  supernatant clearly  has  an impact on
operation,  and  the practice  of supernatant
withdrawal is of highly  questionable  value.
Many  operators prefer to dewater all  of the
 sludge, and to do this at  a high rate of solids
recovery, recognizing that this investment is
highly profitable  for future good plant opera-
tion.

CONCLUSION

  Efficient and effective operation of waste-
water treatment facilities requires careful con-
sideration of sludge handling practices. It is
suggested  that  three practical  guidelines
which could assist in the management of waste-
water  sludges are: don't  hold sludges; don't
mix sludges; and don't recirculate sludges.

REFERENCES

1.  P. I. Vermehen, "Chemical Removal of Nu-
   trient Salts  from  Plant  Effluent," Sixth
   Nordic Symposium on Water Research, Co-
   penhagen, 1978.
2.  W. N. Torpey, "Concentration of Combined
   Primary and  Activated Sludges in Sepa-
   rate  Thickening Tanks,"  Proc. ASCE 80,
   No. 443, September 1954.
3 . U.S.  Environmental  Protection Agency,
   Process Design Manual for Sludge Treat-
   ment and Disposal, U.S. EPA Technology
   Transfer, 625/1-74-006, Washington,  DC,
   1974.
                                             199

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                   TEXTILE  SLUDGE  TREATMENT AND DISPOSAL

                     David H. Bauer,* John P. Woodyard.t Stephen P. Shelton*
Abstract

  Increasing quantities of wastewater  treat-
ment  sludge generated  by  more  stringent
water and air quality standards and pending
regulations to control the disposal of hazard-
ous wastes  have focused new  emphasis on
possible solutions  to the problem  of sludge
disposal. Disposal alternatives currently ap-
plicable to the textile industry include lagoons
landfilling, land farming, incineration, and wet
air oxidation. Current indications are that land-
filling and land farming disposal will predomi-
nate in  the future, subject to pending regula-
tions. Incineration and wet air oxidation may
be used on  special problem  wastes, suck as
residuals generated by reverse osmosis  treat-
ment of wastewaters.

INTRODUCTION

  Recent estimates indicate that approximate-
ly 39,000 metric tons (dry weight) (43,000 tons)
of sludge are currently generated annually by
the textile industry, and this is projected to in-
crease to 167,000 metric tons, (164,000 tons) an-
nually by 1983 (ref. 1). Thus,  adequate sludge
disposal is becoming a major concern in the in-
dustry,  especially  in EPA Regions I and IV
where approximately 65 percent of all textile
industry sludge is generated.
  The disposal of sludge, including that of the
textile industry, has received increasing eni-
phasis in recent years, primarily as a result of
increasing sludge generation from water reuse
and pollution control systems. With passage of
the Clean Water Act  of  1977, EPA  respon-
sibilities for industrial point  source effluent
controls have been specifically  defined to in-
clude toxic pollutants, conventional pollutants,
and nonconventional pollutants. Control  of 65
classes of toxic compounds is incorporated in
   *Project Manager, SCS Engineers, Reston, VA.
   jVice President, SCS Engineers, Long Beach, CA.
   •fAssociate, SCS Engineers, Columbia, SC.
Section 307(b)  as best available  technology
(BAT)  effluent  limitations for 21 "heavy" in-
dustry  categories,  including  the  textile in-
dustry. Similar revised authority governing
conventional and nonconventional pollutants is
also included. Thus, increased textile  sludge
generation  is  anticipated,  although  the
magnitude of the increase will depend  on the
specific limitations adopted and the extent to
which pretreatment requirements are imposed
on textile plants.
  In addition, the Resource Conservation and
Recovery Act (RCRA) of  1976 has expanded
EPA  authority  governing  sludge disposal.
Specifically, Section 3001  (criteria, identifica-
tion, and listing  of  hazardous wastes) gives
EPA  authority to  define hazardous wastes.
The "status draft" of Section 3001 regulations
includes a list of processes considered to
generate hazardous waste, including six  textile
processes. Thus,  EPA regulations  authorized
by Subtitle C of RCRA will be applicable to a
significant portion of the sludge generated by
the textile industry.
  In an effort to address future sludge disposal
concerns, this paper focuses on treatment and
disposal methods currently in very limited use
but which appear to have promising applica-
tions.

TEXTILE INDUSTRY SLUDGE
CHARACTERISTICS

  Before appropriate  treatment and disposal
technology can be selected, the sludge  charac-
teristics must  be determined. First, data on
physical characteristics is  needed, such  as
specific gravity, solids concentration, settling
properties and particle size and distribution.
Subsequently, chemical properties  such as fuel
value, fertilizer  value, food  value, and  elec-
trophoretic  properties, as  well  as  specific
chemical  characteristics  (especially   toxins),
should be evaluated. Lastly, biological  charac-
teristics such as carcinogenicity, mutagenicity,
and enzymes may need to be evaluated.
  It should be noted that characterization of
sludge can be a complex problem  with an ex-
                                             201

-------
pensive solution. Thus, the identifying charac-
teristics of interest need to  be specified rela-
tive to  the methods of treatment or  disposal
that initially appear most feasible. For  exam-
ple, if a sludge is to be thickened in a gravita-
tional thickener, a characteristic of primary in-
terest would be settling; whereas if the sludge
is to be used as a fertilizer, nutrients and toxic
constituents would be of primary interest.
  Textile industry sludge characteristics are
the subject of another paper scheduled for this
symposium, and are therefore discussed only
briefly here. Concentrations of selected consti-
tuents of general interest in dry sludge from
six categories of textile mills are presented in
Table 1. Heavy metal concentrations  range
from 2.5 to 2,370 mg/kg on a dry weight basis,
and the total chlorinated organics content is
between approximately 0.1 and 65  mg/kg. Of
the five heavy metals shown, cadmium concen-
trations were consistently the lowest (always
< 17  mg/kg)  and zinc concentrations the high-
est (>550 mg/kg) for five of the six categories
(ref. 1).
  Sludge produced from treatment of textile
industry  wastewater  is either retained in a
treatment system, such as a lagoon or  pond, or
wasted from the system, as in an activated
sludge  treatment unit. The  solids content of
                          wasted sludge ranges from  2  to  10 percent,
                          depending on the industry category and the
                          method of disposal used. The solids content of
                          retained sludge ranges from 1 to 10 percent
                          (ref. 1).

                          OVERVIEW OF SLUDGE MANAGEMENT

                            Industrial sludges are typically  disposed in
                          sanitary and chemical landfills, in lagoons or
                          ponds, in deep wells, or by incineration (ref. 2).
                          Some sludges are recycled or stockpiled and
                          some sludges are disposed by ocean dumping.
                          In addition, sludges are sometimes disposed by
                          open dumping. Incidences of  air, ground, and
                          surface water pollution from improper land dis-
                          posal of industrial wastes have  been reported
                          (ref. 3). Although adequate technology for in-
                          dustrial sludge management reportedly exists,
                          this technology is costly (approximately 5 to 20
                          times as  expensive  as  current unacceptable
                          practices such as uncontrolled land dumping or
                          ocean disposal) (ref.  4).
                            In the  textile industry, sludge treatment
                          may involve dewatering, wet air oxidation, in-
                          cineration, stabilization, or fixation, but no
                          treatment prior to disposal is currently typical
                          of the industry. Sludge disposal in lagoons, and
                          to a lesser extent landfills, is also typical, al-
               Constituent
TABLE 1. CHEMICAL CHARACTERISTICS OF SELECTED
          TEXTILE INDUSTRY SLUDGES

                   Categories/ing/kg of dry sludge §

Cadmium
Chromium
Boron
Zinc
Copper
Total Chlorinated
Organics
A
1.2
19
26
106
16

13
B
.7
267
170
1,130
117

0.11
D
4.4
1,196
36
2,370
652

15.2
E
4.5
33
52
550
410

64.7
F
10
112
110
1,790
211

26.2
G
2.5
31
25
1,505
264

40.1
              § Values presented are averages for each of the following categories:
                  A - wool scouring
                  B - wool fabric dyeing and finishing
                  D - woven fabric
                  E - knit fabric
                  F - tufted carpet dyeing and finishing
                  G - yarn and stock dyeing and finishing
               Source: Reference 1.
                                               202

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though dumps  and land spreading are some-
times used.
  Sludge dewatering is currently practiced at
relatively few textile plants, but is anticipated
to be used more as sludge volumes increase
and disposal requirements become more strin-
gent. Wet air  oxidation has been used in at
least one  textile plant for wastewater  sludge
treatment, but has proven  uneconomical  to
operate due to the small volumes of sludge gen-
erated. Incineration is used to incinerate pro-
cess wastes at a few textile plants, but not
sludge, presumably due to the relatively  high
cost (ref. 1).
  In the future, the use of incineration and/or
wet air oxidation may increase for the treat-
ment of wastewater treatment residuals.  In
particular,  residuals  produced  by reverse
osmosis (RO) treatment of textile wastewaters
present a difficult disposal problem that  may
only be adequately solved with these methods
of treatment. Similarly, stabilization and  fixa-
tion will likely be used increasingly to  enable
sludge management to comply with applicable
regulations.
  Textile plant wastewater treatment systems
frequently include aerated lagoons. In many in-
stances, the sludge accumulation rate is  slow
enough that sludge wasting is required very in-
frequently. In  those plants  that  routinely
waste sludge,  sludge disposal is frequently
handled by the textile  plant, either onsite or
offsite. Thus, lagoons and landfills are the most
common disposal  sites, with land spreading
and dumping used occasionally.
  The methods of sludge disposal used in the
future will likely depend in large part on pend-
ing Federal hazardous  waste regulations and
solid waste disposal criteria. It is anticipated
that use of offsite  disposal facilities, such  as
lined lagoons and landfills with leachate collec-
tion and  treatment  (if necessary)  and  land
spreading will become increasingly common.


SLUDGE TREATMENT

  Selection of a sludge treatment method ob-
viously  depends on the  method of  disposal.
Currently, lagoons  are  the  most  common
disposal method. Thus, sludge treatment in the
textile industry is atypical. However, it is anti-
cipated that landfill disposal will be used in-
creasingly. Stabilization and chemical fixation
are two methods of treatment used in other in-
dustries to  facilitate landfill  disposal, and
which appear to have promising applications in
the textile industry. The following discussion
is limited to these two techniques.

Stabilization

  Raw sludges  can  be  stabilized  prior  to
ultimate disposal to increase the number of ac-
ceptable disposal options. By far the most com-
mon sludge stabilization technique is anaerobic
digestion.  Many  variations of  this technique
have been used from septic tanks through com-
pletely  mixed  heated  digesters; however,
sludge toxicity can be a problem regardless of
digestor configuration. This problem  is often
encountered in industrial waste treatment and
would likely be  a problem for a significant
number of textile waste sources.
  Aerobic sludge digestion has drifted in and
out of favor over the past 20 years. The process
is generally less affected by toxins than anaer-
obic digestion. However, the energy costs are
high. Because of increased emphasis on energy
conservation and high costs, it is unlikely that
use of aerobic sludge  stabilization will become
as common for textile sludges.
  Lime addition is another technique which
has  long been used  for sludge stabilization,
since it can increase sludge pH  until most bio-
logical life is destroyed. Quicklime (CaO), also
has the ability to dewater sludge through  a
hydration reaction. This has the advantage of
avoiding oxidation-reduction  reactors which
can potentially produce hazardous byproducts.
In the  South, where  many textile operations
are located, an inexpensive lime source, marl,
can often be mined onsite for  use in sludge
dewatering.
  The primary disadvantage of lime stabiliza-
tion is that the effects are short-lived. It has
been shown by  Paulsrud (ref. 5)  that lime
sludges are not chemically  stable and that it is
impossible to maintain  a high  pH even with
very  high lime dosages. Chemical and/or bio-
logical action eventually seems to bring the pH
down and with that odors return.
  Oxidants such as chlorine have also been us-
ed for sludge stabilization; however, the pro-
blems of recent concern regarding chloramines
                                              203

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will probably discourage use of chlorine for
future applications.
  Lagooning of sludges by industry is a long-
practiced stabilization technique, arid is cer-
tainly the most common method currently used
in the textile industry. This is not to say that
the primary purpose of most sludge lagoons in
the textile industry is stabilization, since most
are  designed  either as temporary holding
basins or as  a  means for ultimate sludge dis-
posal. However, some lagoons are designed as
digesters. The requirement for thorough diges-
tion in a lagoon is  generally  about 3 years
detention time, 1 of the  years being required
for resting without sludge addition. It should
be apparent that such lagoons are practical on-
ly in low-density areas where inexpensive land
is available.

Fixation

   An  increasing  number of industries are
favoring dry disposal of their waste sludges. In
addition to the advantages  in  disposal as a
solid,  transportation and handling are also
enhanced.
   Many sludges are not readily dewatered
through conventional mechanical means, and
as such may  not possess adequate strength for
use as  fill material.  The physical or chemical
fixation of these  materials  can provide the
added  strength  and  reduced   permeability
desirable for landfill disposal.  Physical fixa-
tion,  which may only involve the addition of
dry materials to increase the solids content, is
sometimes adequate if the disposal site is rea-
sonably secure and land reclamation  is the pri-
mary  concern. On the other hand, chemical
fixation gives  the sludge both  a predictably
high   load-bearing  strength   and  a  low
permeability. In no case do these sludge treat-
ment processes attempt to remove contami-
nants from  the material; they  simply serve
either  to improve  physical  properties  or
reduce contaminant mobility.
   The predominant use of fixation to date has
been in the utility  industry. Because textile
plants do not necessarily have the large quan-
tities of fly ash and bottom ash available to mix
with  waste sludges, chemical fixation may be
the best available alternative for dry disposal.
A recent study of FGD sludge fixation technol-
ogy identified a total of 16 companies which of-
fer sludge fixation processes or services. These
companies are displayed according to their ex-
perience in Table 2 (ref. 6).
   Fixation companies typically offer not only a
fixation  process itself, but  may also offer
engineering  and operating services to their
client. Of the 16 companies listed in the table,
two companies have actively and  successfully
marketed their services to utilities for FGD
sludge management. These companies are IU
Conversion Systems, Inc. (IUCS) and the Dravo
Corporation. Both of the processes  are  pro-
prietary in nature, involving the addition of at
least one material typically foreign to  power
plant operations.
   IUCS  markets a system of FGD sludge fixa-
tion using lime and fly ash. In the IUCS pro-
cess, vacuum-filtered sludge is mixed with fly
ash and lime in a pug mill. Dry fly ash is added
in proportions varying  from 50 to 100 percent
of the dry sludge weight. Lime is added at a
rate of 3 to 4 percent. IUCS calls  the finished
material Poz-0-Tec.
   Disposal of the sludge is  accomplished by
landfilling. The mixture is controlled to opti-
mize compaction properties. Pozzolanic reac-
tions between the lime  and fly ash result in a
significant increase  in  load-bearing strength
after the material has cured. Compared to un-
treated sludge, Poz-0-Tec has lower moisture
content  (15  to 25 percent), much  reduced
permeability (105 to  106  cm/sec) and com-
pressibility, as  well as increased bulk density.
As an alternative to landfill disposal, Poz-0-Tec
can  be  used  as  a  structural construction
material. Possible uses include  road  bases;
pond, landfill, or reservoir lining;  concrete or
asphalt aggregate; and artificial reefs.
  Mechanical compaction of Poz-0-Tec is re-
quired to obtain the optimum strength  and
minimum  permeability. If the  compacted
material is disturbed it will undergo a decrease
in density. Since the in situ Poz-0-Tec material
is unsaturated, disturbances will not reslurry
the material.
  The Dravo fixation  process (patented) in-
volves the addition of Calcilox, a proprietary
material manufactured from blast furnace slag,
to the sludge. Calcilox is a basic, pozzolanic ad-
ditive which improves sludge handling charac-
teristics and disposal properties.
  Three treatment/disposal schemes are possi-
ble using Calcilox  as a  fixation agent: perma-
                                              204

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             TABLE 2. COMPANIES PROVIDING COMMERCIAL FIXATION OR DISPOSAL SERVICE
Companies
Aerojet Liquid Rocket
Amax Resource Recovery Systems,
Inc.
American Admixtures Company
(Formerly Chicago Flyash)
Anefco Company
Chemfix
Chem-Nuclear Systems, Inc.
Dravo Corporation

Environmental Technology Corp.
IUCS





Marston Associates
Ontario Liquid Waste
Diposal Limited
TUK, Inc.
Sludge Fixation Technology, Inc.
United Nuclear Industries
Wenran Engineering Corporation
Werner Pfleiderer Corporation
Commercial
experience
with other
residues
Extensive
Extensive

No
Extensive
Extensive
Extensive
Limited

Limited
Extensive





No
Extensive
Extensive
None
Extensive
Not known
Extensive
System
specific
for FGD
sludge
Yes
Yes

Yes
Yes
Yes
Yes
Yes

Yes
Yes





Yes
Yes
Yes
Yes
Yes
Yes
Yes
Full-scale
experience
with FGD
sludge
None
None

Will County
(140 Mw)
None
None
None
Bruce
Mansfield
(1,650 Mw)
None
Phillips
(400 Mw)
Elrama
(500 Mw)
Petersburg
(515Mw)
Conesville
(403 Mw)
None
None
None
None
None
None
None
Bench scale
with FGD
sludge
Yes
Yes

Yes
None
Yes
None
Extensive
s
Yes
Extensive





Yes
Yes
None
Yes
Yes
Yes
None
rield tests
with FGD
sludge
None
None

Will County
None
Shawnee, Will County
None
Shawnee, Mohave, Phillips

None
Shawnee, Phillips, Mohave,
Elrama, Four Corners





St. Clair
Mississauga
None
None
None
Non
None
Source: References.
nent ponding; temporary ponding; and direct  ,
landfilling.  Permanent ponding  involves  ad-
ding Calcilox and hydrated lime to the sludge
before pumping the mixture to a holding pond.
The hydrated lime is required to adjust the pH
above 10.5.  Calicox is added at the rate of 5 to
10 percent  of  sludge solids. Curing  is com-
pleted in approximately 30 days. Supernatant
is then returned to the FGD system.
  Where large tracts of land are not available,
temporary ponding may be preferable. After
the 30-day curing period, the stabilized sludge
is  excavated from small  holding ponds  and
trucked to the landfill. More exact control must
be exercised in order to ensure that the sludge
cures properly before excavation.
  In cases where a temporary storage site is
not  available,  direct  landfilling can. be ac-
complished immediately following the addition
of dry fly ash, lime, and Calcilox to filtered
sludge solids. Sludge treated in this manner
ca:i be efficiently  transported to the landfill
1 jcation, where only 5 to 6 days curing is need-
ed before spreading.

Costs -
  Limited operating  experience with sludge
fixation has similarly limited the disposal cost
data base. Several major studies have involved
detailed cost analyses of FGD sludge manage-
ment alternatives. Table 3 displays  selected
cost estimates for the various processes des-
                                             205

-------
cribed  previously  (ref.  7). In general, these
figures show that the dry forms of fixation are
typically only 10 to 20 percent more expensive
than full dewatering and landfilling. This simi-
larity is due to the common dewatering, trans-
port, and handling requirements for each proc-
ess. There is a greater differential in cost be-
tween  wet disposal of untreated sludge and
fixed sludge, due primarily to the lack of treat-
ment, handling, and disposal requirements for
the untreated material. As expected, the dis-
posal of untreated (thickened only) FGD sludge
is the  most economical form of disposal, but
may also  be the most environmentally unac-
ceptable (ref.  8).  As  the state-of-the-art  in
sludge fixation technology and full-service con-
tractuals  evolves,  the cost  differentials will
become more distinct. The  figures  shown in
Table 3 represent the cost ranking for disposal
                              alternatives at a model power plant, and do not
                              represent  an absolute ranking for all  situa-
                              tions.
                                The cost of other fixation methods not dis-
                              cussed here is typically  higher, due in part to
                              the use of additives that  are less  readily
                              available. The selection of a fixation process
                              therefore will be based upon the availability of
                              ash or other dry waste  material and the vol-
                              ume of waste to  be treated,  due  to  certain
                              economies of scale.

                              DISPOSAL

                                Lagoon and landfill disposal of  sludge are
                              common  and  well  documented   elsewhere.
                              Another  disposal  option  that is  less well
                              known, and is therefore the focus of the follow-
                              ing discussion, is land spreading. Land spread-
               TABLE 3. COST ESTIMATES FOR SELECTED FGD SLUDGE DISPOSAL ALTERNATIVES
                                                            Revenue requirements
                                                   $/Dry ton	            $/Wet ton
           Process
Disposal option
Range
Base
Range
Base
Limestone
Scrubbing

Lime
Scrubbing

Dravo Fixation'
IUCS Fixation*
Untreated11
Dravo Fixation'
IUCS Fixation*
Untreated11
20.41-10.87
20.68-8.23
12.12-5.55
17.77-9.47
23.77-9.46
13.93-6.38
15.32
12.55
8.08
13.34
13.88
8.87
10.21-5.44
12.59-5.02
6.06-2.77
8.89-4.74
14.47-5.77
6.97-3.18
7.66
7.63
4.04
6.67
8.46
4.44
           ' Base, Dravo
           New 500-MW plant (30-yr life); midwest plant location; coal analysis (by wt): 3.5 percent sulfur (dry
           basis), 16 percent ash, Flyash removed with S02- Limestone process with 1.5 stoichiometry based on S02
           removed. Pond characteristics: clay-lined, 1 mi from scrubber facilities, 50 percent solids settled density,
           21.38 ft total depth, 414 acres. Calcilox added at 7 percent of dry solids.

           *Base, IUCS
           New 500-MW plant (30-yr life); midwest plant locations; coal analysis (by wt): 3.5 percent sulfur (dry
           basis), 16 percent ash. Flyash removed with S02- Limestone process with 1.5 stoichiometry based on SO2
           removed. Disposal in landfill 1 mi from scrubber facilities (by truck) 60 percent solids cakes. Lime added
           at 4 percent of dry solids.

           "Base, Untreated
           New 500-MW plant (30-yr life); midwest plant location; coal analysis (by wt): 3.5 percent sulfur (dry
           basis), 16 percent ash. Flyash removed with S02. Limestone process with 1.5 stoichiometry based on S02
           removed. Pond characteristics: clay-lined, 1 mi from scrubber facilities, 50 percent solids settled density,
           21.21 ft total depth, 407 acres.

           Source:  Reference 7.
                                                 206

-------
ing has the potential advantages of permitting
utilization of the  waste and minimizing the
pretreatment required. The extent to which
these potential advantages  can be realized in
the textile industry will depend in large part
on future regulations being developed under
RCRA.
  Land spreading is a disposal technique by
which organic wastewater or sludge is mixed
with the surface soil to achieve volume reduc-
tion and degradation (ref.  9). This  same dis-
posal method is also referred to  as land cul-
tivation, land farming, sludge farming, soil in-
corporation, and other names. The practice in-
volves several steps: (1) application of waste
onto the surface soil; (2) mixing the waste with
the  soil to aerate the mass and expose  the
waste to  soil  microorganisms;  (3) possibly
adding nutrients  or other  soil  amendments
(i.e., limestone) during site preparation; and
(4) remixing the soil/waste mass periodically to
promote biodegradation. In practice, sludges
are  hauled to the disposal site either directly
from the wastewater treatment plant or from
an interim storage lagoon. The sludges are ap-
plied  to the land by spraying,  spreading, or
subsurface injection. The field is then disced or
plowed by conventional farm cultivation equip-
ment.
   Important  processes that contribute to
waste volume reduction include microbial deg-
radation; microbiological degradation, includ-
ing  chemical and photochemical degradation;
and evaporation and volatilization. There are
ordinarily large numbers of diverse microorga-
nisms in soils, consisting of several groups that
are  predominantly aerobic  in  well-drained
soils.  These microorganisms normally adhere
to the surfaces of the soil colloids. The majority
of groups are heterotrophic, deriving energy
from the breakdown of organic substances, and
these  are the  dominant microorganisms re-
sponsible for waste decomposition. The prin-
cipal groups of  organisms (in surface soils) in-
clude bacteria, actinomycetes, fungi, algae, and
protozoa (ref. 10). The  bacteria are the most
numerous, the most biochemically active, and
generally the  most significant  in  terms of
waste degradation.
   The dependence of microorganism activity
on environmental conditions such as  soil pH,
air temperature, soil water  content, and nutri-
ents has been well documented (refs. 11,12,13,
14). In general, pH between 5 and 8, warm air
temperatures, moderately well-drained soils,
and adequate nutrient availability favor soil
microorganism activity and waste degradation.
For any set of environmental conditions, how-
ever,  waste degradation depends significantly
on waste characteristics.
  In recent years, considerable emphasis has
been placed on the biodegradability of organic
substances that are considered potential envi-
ronmental toxins. Studies on the biodegrada-
tion of pesticides in soils illustrate the impor-
tance of waste characteristics. The chemical
structure, nature, and position of substituting
groups of the pesticides affect the extent and
rate of microbial degradation, as demonstrated
by the persistence of various pesticides in soils
(ref. 11). Although some of the toxic  organic
substances do persist in soils, microbial degra-
dation will eventually proceed if the sub-
stances are adsorbed in the soil surface for a
sufficient period of time. There is, however,
limited information on environmental factors
affecting degradation of these substances as
well  as the microorganisms  and enzymatic
reactions involved.
  Nonbiological degradation  processes also
play an important  role in the dissipation  of
many  organic  substances  in  soils, including
pesticides. In particular, considerable evidence
has been reported on the importance of chemi-
cal hydrolysis and photochemical degradation
(ref. 15). Other reactions, including oxidation-
reduction,  are important for  certain com-
pounds.
  Chemical degradation of waste materials in
soil is a widespread and complex phenomenon.
Various mechanisms of chemical degradation
or transformation have been found or postu-
lated, including oxidation, reduction, hydroly-
sis, isomerization,  and  polymerization. The
degradation rate depends on whether the reac-
tion occurs in solution or on an absorbent sur-
face,  and is usually a function  of pH; redox
potential (Eh); surface acidity; and the nature,
concentration,  and  availability  of catalytic
sites  (ref. 9). Hydrolysis reactions are impor-
tant steps in the degradation of many organic
compounds,  including  chloro-triazine  herbi-
cides  and organophosphate insecticides. These
reactions are catalyzed by clay present in the
soil (ref. 16).
  Chemical reactions induced by electromag-
                                             207

-------
netic radiation represent a potentially impor-
tant pathway for alteration and/or degradation
of many organic substances applied to soil.
However, photochemical degradation should
play a minor  or negligible role in most land
spreading applications since the waste is incor-
porated into the soil, thus reducing the amount
of light received by the waste. Similarly, photo-
chemical degradation assumes  minor impor-
tance when mobile wastes are leached from the
zone of photolytic influence.
  Evaporation is a major mechanism of volume
reduction. The rate of evaporation from a wet
soil is controlled by the environmental condi-
tions that control the rate of evaporation from
bulk water and not by the properties of surface
soil. However, frequent mixing of the  waste
with  soil will increase evaporation loss and
decrease the probability of developing anaero-
bic conditions.
  The waste  volatilization process is depend-
ent on the vapor pressure of the compound and
its  rate of movement away from the evaporat-
ing surface. The magnitude of volatilization
loss depends on the soil  moisture  content,
chemical and  physical properties of the waste
and soil, atmospheric conditions (temperature,
wind velocity, relative humidity, etc.), and ap-
plication method (ref. 17). In land spreading,
mixing the waste with soil should significantly
reduce volatilization loss due to increased ad-
sorption of the chemical by soil organic matter
and clay, and the decreased vapor pressure of
the waste material.
  Municipal  wastewater treatment  sludges
are widely applied  to land for treatment and
disposal, although new regulations may limit
this practice for sludges which contain signifi-
cant   quantities  of environmental toxins.
Although to a lesser extent, land spreading is
also used as a sluge disposal method in several
industries, including food processing,  wood
preserving, pulp and paper, Pharmaceuticals,
soap and detergents, organic chemicals, petro-
leum  refining, leather  tanning, and textiles
(ref. 18).
  The extent to which  the estimated 39,000
metric tons of sludge generated annually by
the textile industry (1977) is amenable to land
spreading  disposal  will depend  on specific
waste characteristics, applicable regulations to
be promulgated under RCRA, and  site-specific
conditions. Thus, estimates of the quantity of
 textile sludge destined for land spreading dis-
 posal are not currently available.

 Textile-Specific Considerations

   To date, there has been limited experience
 with land spreading  of textile sludge. The
 physical  characteristics  of textile  industry
 sludge are reasonably  similar  to municipal
 sludge, so that equipment used for municipal
 sludge should  be  appropriate  for  textile
 sludge. However, other design and  operational
 considerations such as waste loading rate, site
 selection, site management,  and  their asso-
 ciated environmental impacts may be  signifi-
 cantly different  than those  associated with
 land spreading of municipal sludge due to dif-
 ferent sludge characteristics. In addition, even
 sludges that appear to be similar based  on ana-
 lytical measurements may behave  differently
 in response  to  land spreading if  they have
 significantly different origins. Thus, additional
 investigation of textile sludge land spreading
 is required to determine the extent of its ap-
 plicability.
   Some limited work  has been done on land
 spreading of sludge from textile and related in-
 dustries  which indicates that the subject  is
 worth pursuing.  For example,  both prelimi-
 nary greenhouse experiments and  3 years  of
 full-scale field experience with land spreading
 of wastewater treatment sludge from an organ-
 ic chemical plant which produces primarily
 dyes,  dye intermediates and carriers, and
 pigments  for  use  in the textile industry in-
 dicates that the practice has some beneficial
 and  no apparent detrimental effects on turf
 grass production. It  should be noted that the
 heavy  metal content of the sludge is maintain-
 ed at low levels (generally less than 5 ppm wet
 weight) through  pretreatment  of  individual
 process waste streams before discharge to the
 treatment plant. Thus, future use  of the dis-
 posal site for production of food chain crops
 should be unlimited (ref. 18).
  In another instance, wastewater treatment
 sludge from an integrated denim mill is land
 spread on land used for sorghum and corn pro-
 duction. Detailed monitoring data from 2 years
of full-scale field operation is scheduled for
release in the spring.  Preliminary  results in-
dicate  that  relatively  low concentrations  of
heavy  metals are  present in  the sludge and
                                             208

-------
that  plant uptake of heavy metals  is at low
enough levels to protect public health (ref. 19).

Costs

  Costs,  as  well  as technical feasibility, are
always an important concern with any disposal
method. Cost data on land spreading of textile
sludge were not  available for preparation  of
this paper. The unit costs for land spreading of
sludge generated by five other industries are
shown in Figure 1 (ref. 18). Also shown is the
expected range of costs for a hypothetical com-
mercial land cultivation site, estimated on the
basis of  a conceptual  design. All of the unit
costs presented include expenditures for land,
equipment,  labor, interim onsite storage  of
waste, and  environmental monitoring. Costs
for waste transport to the site are  Dt included.
   Capital costs for the conceptual Jesign range
from $262,000 to $746,000, for waste delivery
rates from 1,000 to 4,000 dry metric tons (5,350
to 21,370 x 106 gal) per year of sludge at 5 per-
cent solids.  Costs for disposal of uncontained
industrial wastes by sanitary  landfill methods
generally range from $5.30 to $22.00 per m3
($0.02 to $0.08 per gal), depending on location,
site  volume, and other factors. For industrial
waste disposed in drums or other containers,
costs can be substantially higher, ranging up to
$194 per m3 ($0.72 per gal). Thus, land cultiva-
tion cost is comparable with or lower than con-
ventional disposal'methods.
20
j
18
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£ 10 ( 	 	 " 	
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i
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1ICAL

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2 j 	 ^L. 	

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IXED WASTE
h- •
"*" 	 	 +—



















!






CONCEPTUAL
DESIGN COSTS
/




© OIL
i 	 4
1
i 	
PUL
i

1
i
i
i
,

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i
i
CP
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	 1
10 20 30 40 50 60 70 80 90 9b
WASTE RECEIVED - (1,000 m /yr)
                                Figure 1.  Land spreading costs.

                                              209

-------
REFERENCES

  1.   Versar, Inc., Assessment of Industrial
      Hazardous Waste Practices — Textiles
      Industry, U.S. Environmental Protec-
      tion Agency Contract No. 68-01-3178,
      Springfield, VA, June 1976.
  2.  P. W. Powers, How to Dispose of Toxic
      Substances  and  Industrial  Wastes,
      Noyes Data Corporation, Park Ridge,
      NJ, no date.
  3.  E. C. Lazar, "Summary of Damage In-
      cidents From Improper Land Disposal,"
      Proceedings of the National Conference
      on  Management  and  Disposal  of
      Residues From the Treatment of In-
      dustrial Wastewaters, Washington, DC,
      pp. 253-257, February 1975.
  4.  M.  P.  Lehman, "Industrial  Waste
      Disposal Overview," Proceedings of the
      National Conference on Management
      and Disposal of Residue From the Treat-
      ment  of  Industrial  Wastewaters,
      Washington,  DC, pp. 7-12, February
      1S.75.
   5.  B. Paulsrud, unpublished data, Norwe-
      gian Institute for Water Research, Oslo,
      Norway.
   6.  Michael Baker, Jr., Inc., "State-of-the-
      Art of FGD Sludge Fixation," prepared
      for Electric Power Research Institute,
      FP-671, Research Project 786-1, Final
      Report, January 1978.
   7.  J. W. Barrier, H. J. Faucett, and L. J.
      Henson,  "Comparative Economics of
      FGD Sludge Disposal," for presentation
      at the 71st Annual Meeting of the Air
      Pollution Control Association, Houston,
      Texas, June 25-30, 1978.
   8.  Dallas E. Weaver, Curtis J. Schmidt, and
      John P. Woodyard, "Data Base for Stan-
      dards/Regulations   Development  for
      Land Disposal  of Flue Gas  Cleaning
      Sludges,"  Municipal  Environmental
      Research Laboratory, Office of Research
      and Development, U.S. Environmental
      Protection  Agency, EPA-600/7-77-118,
      December 1977.
  9.  C. R. Phillips and J. Nathwani, "Soil-
      Waste Interaction: A State-of-the-Art
      Review," Solid Waste Management
     Report EPS 3-EC-76-14, Environment
     Canada, October 1976.
10.  F. E.  Broadbent, "Organics,"  Pro-
     ceedings of the Joint Conference on
     Recycling Municipal  Sludges and Ef-
     fluents on Land, Champaign, Illinois, pp.
     97-101, July 9-13,1973.
11.  M. Alexander, Introduction to  Soil
     Microbiology,  John Wiley and Sons,
     New York, NY, 1961.
12.  M. Alexander, "Biodegradation: Pro-
     blems of Molecularrecalcitrance  and
     Microbial  Fallibility," Adv.  Applied
     Microbiol, Vol. 7, pp. 35-80, 1965.
13.  J. P. Martin and D. D. Focht, "Biological
     Properties of Soils," Soils for Manage-
     ment of Organic Wastes and Waste
     Waters, American Society of Agronomy,
     Madison, Wisconsin, pp. 115-169,1977.
14.  R. H. Miller, "The Soil as a Biological
     Filter," Proceedings on Conference on
     Recycling Treated Municipal Waste-
     water through Forest and Cropland,
     EPA 660/2-74003, U.S. Environmental
     Protection Agency, 1974.
15.  D. E. Armstrong and J. G. Konrad, "Non-
     biological Degradation of Pesticides,"
     Pesticides in Soil and Water, W. D.
     Guzeni, ed., Soil Science Society of
     America, Inc., Madison, Wisconsin, pp.
     123-131, 1974.
16.  J. G. Konrad et  al., "Soil Degradation of
     Diazinon, a Phosphorothioate Insecti-
     cide," Agron, Vol. 59, pp. 591-594,1967.
17.  W.  F.  Spencer and M.  J.  Cliath,
     "Vaporization of Chemicals," Environ-
     mental Dynamics of Pesticides, R. Haque
     and V. H. Freed, eds., Plenum Publishing
     Co., New York, NY, pp. 61-78,1975.
18.  SCS Engineers, "Land  Cultivation of In-
     dustrial Wastes and  Municipal Solid
     Waste: State-of-the-Art Study," EPA-
     600/2-78-140a & b, U.S. Environmental
     Protection Agency, Cincinnati, Ohio,
     April 1978.
19.  Dr. Larry  King, Dept. of Soil Science,
     North  Carolina  State  University,
     Raleigh, North  Carolina, personal com-
     munication  to David Bauer,  SCS
     Engineers, October 5,1978.
                                            210

-------
Session V: ASSESSMENT METHODOLOGY



     Dale A. Denny, Session Chairman
              211

-------
                 LEVEL  1 MEASUREMENT PROCEDURES FOR
                         EFFLUENT CHARACTERIZATION
                     R. G. Merrill, Jr., L. D. Johnson, J. A. Dorsey*
Abstract
  The EPA/IERL-RTP phased approach and
its applications to environmental assessment
of textile wastewaters are discussed in this
presentation.  In  the  first  phase, Level  1,
methods have been developed and applied to a
variety of industrial and energy sources. The
procedures  are multimedia and accordingly
have application to liquid effluent streams as
well as air and solid waste streams. The Level 1
procedures have been applied to the  effluent
streams from 15 textile plants. The results of
the chemical and biological analyses  are dis-
cussed in light of their successful use  in rank-
ing the plants for further biological and chem-
ical analysis and for evaluation of best avail-
able control technology (BAT). The use of se-
lected Level 1 biological tests for control tech-
nology evaluation is also outlined.


INTRODUCTION

  New  Environmental  Protection  Agency
(EPA) regulations and guidelines, as mandated
by Congress and the Clean Air Act, place in-
creasingly greater demands on EPA's research
programs. Not only are EPA's research labora-
tories given the mission of evaluating pollution
control devices, but they must also develop ef-
fective methods of providing the Agency and
the public with a thorough  understanding of
the nature and magnitude of  current and fu-
ture environmental assessment problems. The
comprehensive assessment of  environmental
insult posed by stationary  sources is one of the
major missions of the Industrial Environmen-
tal  Research Laboratory  (IERL) at Research
Triangle Park, NC. An outgrowth of this mis-
sion is the IERL-RTP Environmental  Assess-
ment Program.
 *U.S. Environmental Protection Agency, Industrial En-
  vironmental Research Laboratory, Research Triangle
  The  Environmental Assessment (EA) Pro-
gram is designed to pursue four major goals in
the environmental assessment of a stationary
source. They are:

  1.  A systematic evaluation of the physical,
     chemical, and biological characteristics of
     all streams associated with a process.
  2.  Predictions  of the  probable effects of
     those streams on the environment.
  3.  Prioritization ofthose streams relative to
     their individual hazard potential.
  4.  Identification of any necessary pollution
     control technology programs.

  Outputs of the EA program are primarily in-
tended to define the need for and design of con-
trol technology, and to provide a data base suf-
ficient to meet the planning needs of the regu-
latory and standard-setting parts of the Agen-
cy.
  In order to focus available resources (both
manpower and dollars) on emissions and fulfill
the goals of the EA program, a  3-phased ap-
proach was developed  after consideration of
and comparison to more traditional approa "hes
(refs. 1,2).
  The phased approach (refs. 3,4,5,6,7) utilizes
three closely linked levels of sampling  and
analysis. Level  1  is a  screening  or  survey
phase, Level 2 is directed toward confirmation
of Level 1 information based on more detailed
analysis, and Level 3 involves monitoring of
selected pollutants determined by the results
of Levels 1 and 2. Level 3 may also include the
study of chronic  sublethal effects constituting
partial or complete assessment of risk.
  Each level includes consideration of the com-
m" ;surate  sampling, chemical, and biological
n.ethods  in order to meet the goals of the as-
sessment. Level 1 methods have been devel-
oped and applied to a variety of industrial and
energy sources including textile wastewaters.
This experience  with Level 1 procedures has
provided firsthand knowledge of the limita-
tions of the techniques and aided early revision
of areas  found  to  be deficient. The  Level 2
sampling and chemical  analysis  approach is
                                           213

-------
nearly complete in a broad conceptual sense.
Close monitoring  of field  and laboratory im-
plementation is now required to verify that
Level 2 meets the required goals.
  The conceptual  approach to Level 2 biolog-
ical testing is well underway and planning for
Level 3 approaches to sampling and chemical
analysis is also currently underway.

LEVEL 1  OVERVIEW

  The multimedia Level 1 sampling, sample
preparation, and analytical procedures (shown
in Figure 1) have been developed to address
liquid, gaseous, and solid waste streams (refs.
8,9,10). Briefly, the procedures provide screen-
ing results within broad general limits for the
chemical composition and rate of emission of in-
organic species (as elements) and organic spe-
cies (as compound classes). The Level 1 proce-
dures also provide an indication of direct bio-
logical response in the  health, aquatic ecolog-
ical,  and  terrestrial  ecological areas.  The
overall goal for accuracy at Level 1 is to report
the results within a factor of 3. In simple terms,
this means that a reported value between 30
and 300 is acceptable when the true measure-
ment is 100. The methods currently in use are
capable of much greater  accuracy  and preci-
sion individually, but the overall relaxation of
                                      PHYSICAL
                                SOLIDS MORPHOLOGY
        FIELD
      SAMPLES
                                     INORGANIC
                               ELEMENTAL ANALYSIS
                                (SPARK SOURCE MASS
                              AND ATOMIC ABSORPTION
                                  SPECTROMETRY)
                                      ORGANIC
                             LIQUID CHROMATOGRAPHY
                                   INFRARED AND
                                 LOW RESOLUTION
                               MASS SPECTROMETRY
                          REPORT
                         INPUT TO
                          IMPACT
                         ANALYSIS
                                     BIOASSAY
                                in vitro CYTOTOXICITY
                             BACTERIAL MUTAGENICITY
                                ECOLOGICAL TESTING
                                   in vivo TOXICITY
                         Figure 1. Flow chart of Level 1 scheme.
                                         214

-------
traditional analytical limits allows a significant
cost savings. These savings are typified by the
use of grab sampling instead of integrated sam-
pling, where possible, and by the use of gravi-
metric  results, where they  are  applicable,
rather than the use of higher priced analytical
techniques.  When necessary, more costly sam-
pling or analytical methods are used (ref. 9) as
in the case of sampling particulate-laden stack
gas streams in order to collect representative
samples.
   For aqueous fugitive effluents such as water
and leachate runoff, samples may be acquired
by means of simple plug collectors; however,
the sampling plan may be complex and may in-
volve careful  consideration of procedures for
the interpretation of the results.
   Liquids and slurries contained  in ditches,
pipes, or holding areas (such as textile waste-
waters) are sampled by the dipper or  bucket
grab  procedure. If mechanical sampling de-
vices are  in place and available, these may be
used  to obtain  Level 1 samples; however, they
are not specified for Level 1 screening proce-
dures.  In fact, the Level 1 procedures leave
considerable flexibility in sample  acquisition
design  in order  to  allow grab or  integrated
sampling  to be tailored to the source (ref. 8).
For a reasonably consistent source, such as a
holding pond effluent, a single point grab sam-
ple is usually acceptable. However, if serious
changes occur  or are suspected in the process
stream over a period of time, then a 24-h com-
posite should be collected from hourly subsam-
ples.
   Samples tor laboratory chemical analysis are
preserved by  standard techniques; for  biolog-
ical testing they  are shipped in ice without
preservation. Additional details on sample ac-
quisition  and   sample  size requirements are
given in the appropriate reference  documents
(refs. 8,9,10,11,12).

LEVEL 1  ANALYSIS METHODS APPLIED
TO TEXTILE WASTEWATERS

   An overview of sample handling for organic,
inorganic, and  biological analyses of aqueous
samples is shown in Figure 2. Field procedures
are indicated  by  solid lines  and  laboratory
analyses by broken lines. Field analyses such
as dissolved oxygen and pH are  performed
electrochemically  with  the appropriate elec-
trode and are run on the neat unfiltered sam-
ple. Extraction for organic analysis is accom-
plished in the field at acidic and basic pH's. Fil-
tration for total suspended solids is also done
in the field and in accordance with standard
EPA methods.
  Tests performed in the laboratory for inor-
ganic solids, filtrate, organic, and biological
analyses are shown in Figures 3, 4, 5, and 6,
respectively. Most of  the inorganic analysis
methods may be readily arranged into three
major categories: spark source mass spectrom-
etry,  atomic absorption  spectrometry,  and
standard water tests.
  Spark source mass spectrometry is an excep-
tionally powerful survey tool, which  yields
results for approximately 70 elements with one
analysis. This  multielement  capability gives
the technique overwhelming  cost or informa-
tion advantages over competing techniques of
atomic absorption, neutron activation, optical
spectroscopy, and inductively coupled argon
plasma emission spectroscopy. The primary
disadvantage is lower accuracy; however, the
results usually fall within the requirements for
Level  1. Special problems with arsenic, anti-
mony, and mercury analysis  require applica-
tion  of atomic absorption  techniques.  The
standard water tests are  applied by use  of a
field test  kit. These kits have accuracy suffi-
cient for Level  1, and represent time and cost
savings, as well as the option  of field  or
laboratory application. These kits, as well  as
the standard methods from  which they are
derived, are widely known and  will not be
discussed in detail (refs. 13,14).
  The one test  that does not fit into the three
categories for inorganic analysis is the leach-
able anions test. This test is only performed if
impounding of the removed solids is evident or
likely. Storage  of large quantities of the solid
materials could lead to drainage or runoff prob-
lems if toxic leachables are present. The cur-
rent Level 1 specification for this test calls for
test  kit anion  analysis  of a  distilled water
leachate and an  HC1 leachate. New leachate
procedures are being specified by the Hazard-
ous Waste Management Division of EPA's Of-
fice of Solid Waste Management Programs.
These procedures are under review by IERL-
RTP, and will  be adopted for Level 1 use if
appropriate. The use of ion  chromatography
for analysis of  leachable anions  is also under
                                              215

-------
                    WASTEWATER SAMPLE
                       DISSOLVED O2
                           pH
             rBIOTEST~}-
1 blUI tb
EXTRACTION
!~ORGANIC
[ANALYSIS^
     ACIDIFY
      pH<2
-[BOD, COD]
                          FILTER
           FILTRATE
                         DIVIDE
          UNTREATED
                   INORGANIC ANALYSIS
                 SOLIDS

                                                  ANALYSIS
          BASIFY
          pH 8-12
                Figure 2. Sample handling summary.
                           216

-------
                      SOLIDS
Hg, Sb, As
 BYAA
                   DRY, WEIGHT
                    FOR SOLIDS
ELEMENTS
 BY SSMS
 LEACHABLE
AN IONS TEST
           Figure 3. Inorganic analysis of solids.
                       FILTRATE
                      UNTREATED
                       ACIDITY
                     ALKALINITY
                    CONDUCTIVITY
                      HARDNESS
                     BY . EST KIT
                           BASIFIED
                          SELECTED
                            ANION
                            HCN
                             H2S
                         BY TEST KIT
          Figure 4. Inorganic analysis of filtrate.
                       217

-------
                         CH2 Cl2 EXTRACT PREPARED
                           AS USUAL: 100-200 ml
                              TOTAL VOLUME
                                   1
                             CONCENTRATE AS
                               NECESSARY
                           (RQTAVAPOR, K-D, ETC.)
                      YES
1
ALIQUOT
FORIR



'" ~*
ALIQUOT
FORLC




TCO+GRAV
> 100 mg/ml
NO
                                                          1
                                                   CONCENTRATE TO NOT
                                                 GREATER THAN 100 mg/ml
                                                  BUT NOT LESS THAN 2 ml
                                                          I
                                                      1 ml ALIQUOT



SOLVENT EXCHANGE

ALIQUOT FORLC

                                                      TCO + GRAV
                                                       > 15 mg/ml
1 ml HEXANE PLUS
SILICA GEL


LC

1 1 1
1 2 3 *

\
I 5


1 1
6 7
EACH FRACTION:
               IR ON GRAV SAMPLE
               LRMS
                Figure 5. Modified Level 1 organic analysis procedure.
                                     218

-------
                                     BIOTEST SAMPLE
        CYTO-
      TOXICITY
FATHEAD
 MINNOW
TOXIC ITY
                   AMES
                   TEST,
                   MUTA-
                 GENICITY
 ALGAE,
TOXICITY
  STIMU-
 LATION
           DAPHNIA,
           TOXICITY
    SOIL
MICROCOSM,
  ECOLOGY
              RAT
           TOXICITY
                                  Figure 6. Biotest analysis.
review and will be adopted where applicable
for use in Level 1.
  The organic analysis scheme requires more
description for understanding of its nature.
Specific compound identification should not, in
general,  be expected at  costs commensurate
with the Level 1 philosophy. Therefore, the
scheme presented is relatively simple and inex-
pensive,  yet it produces information that can
be utilized to decide whether more sophisti-
cated and expensive methods are justified. The
Level 1 organic analysis produces data on chro-
matographic classes of compounds, character-
istics of infrared absorption bands, and further
class  information from  low  resolution mass
spectrometry (LRMS).
  The Level  1 organic analysis strategy con-
tains four analytical  operations that are cen-
tral  to  the  scheme:  liquid chromatographic
separation, total organics content determina-
tion, infrared absorption spectrophotometry,
and LRMS.
  The first organic analysis operation is the
determination of total organics content. This
operation allows  initial  quantitation of the
organics  in the  unfractionated sample for ali-
quot size selection for optimum column opera-
tion and  subsequent  quantitation of material
from each chromatographic fraction. The orig-
inal Level 1 scheme (ref. 1), as well as the first
revision,  depended entirely upon reduction to
                    dryness and weighing for total organics deter-
                    mination. More recent  data show that many
                    materials in the boiling range below 275° C
                    may be partially lost by that approach (ref. 15).
                    Accordingly, a gas chromatography procedure
                    for volatile organics has been adopted as a part
                    of the Level 1 strategy (ref. 5). Total organic
                    content is obtained by addition of the gravime-
                    tric results  and the total chromatographable
                    organics (TCO).
                      Liquid chromatographic separation, the sec-
                    ond organic analysis operation, is the heart of
                    the whole approach. It is an analytical step (in
                    that behavior of a given class of compounds is
                    predictable) as well as a separation step (since
                    the fractions may be further  analyzed much
                    more readily than the original mixture). Distri-
                    bution of a few selected  compounds is shown in
                    Table 1.
                      The third  organic analysis operation is in-
                    frared  absorption  spectrophotometry.  This
                    classical technique is often overlooked in to-
                    day's  mass-spectrometry-dominated labora-
                    tory, but still remains a powerful tool provid-
                    ing considerable information  at  a moderate
                    cost. Infrared spectra of the seven chromato-
                    graphic fractions may be used to confirm the
                    absence  or  presence  of particular compound
                    classes or functional groups as indicated by the
                    chromatographic data. It is occasionally possi-
                    ble to obtain specific compound identification
                                            219

-------
                         TABLE 1. PERCENT DISTRIBUTION IN LC FRACTIONS
                                     (FROM REFERENCE 9)
                          Compound
1
456
Hexadecane 85
Cumene
Dichlorobiphenyl 25
Acenapthene
Tetrachloroethane
o-Nitrotoluehe
Benzaldehyde
Dihexyl ether
N-methyl aniline
Quinoline
Diethyl phthalate
2-ethyl hexanol
Phenol
15
82 17
69 5
69 31
81 19
30 70
22 75 3
18 77 4
3








94
100
100
99
100




2


0.7

from the infrared spectra. But, as previously
mentioned, the complexity of .most  environ-
mental  samples  makes  this  the exception
rather than the rule.
  The fourth  organic analytical operation of
the Level 1 organic scheme is LRMS. The orig-
inal Level 1 scheme did not contain LRMS (ref.
10), but it was included in the modified strat-
egy (ref. 8) to prevent potential triggering of
Level 2 efforts based on large amounts of sus-
picious, but innocuous, organics. LRMS can be
a very powerful tool, especially when combined
with the other Level  1 components.  In many
cases, compound identification and quantifica-
tion are possible when the entire scheme is ap-
plied.
  There are advantages  to employing LRMS
rather than the more powerful high resolution
mass spectrometry (HRMS) or the more popu-
lar  gas  chromatography/mass  spectrometry
(GCMS). HRMS is roughly 4 times as expensive
as LRMS.  The detailed information and com-
pound specificity available from this technique
are far beyond the original goal of Level 1, and
HRMS is not readily available for the quantity
of samples envisioned. GCMS is also more ex-
pensive than LRMS and it has the added disad-
vantage of detecting only chromatographable
materials. Both HRMS and GCMS are consid-
ered excellent Level 2 techniques.
  The Level 1 biological tests (ref. 12) typically
applied  to  aqueous  samples,  such as textile
wastewaters, are  shown in Figure 6. In vitro
analysis for mutagenicity is performed using
         four salmonella typhimurium strains  in the
         Ames assay. Cellular toxicity of aqueous ef-
         fluents is assayed using WI-38 human lung fi-
         broblasts. Acute in vivo testing in rodents is
         performed as a quantal (all or none) assay. If
         gross toxic responses occur, a second quanti-
         tative assay is performed. The aquatic ecolog-
         ical effects tests include a vertebrate (fish), an
         invertebrate (daphnia or shrimp), and an algae
         of either fresh or marine origin depending on
         the impact of the effluent to fresh or marine en-
         vironments.  The terrestrial ecological effects
         tests include assays with higher plants and in-
         tact soil cores.
           The results of the biological tests at Level 1
         not only provide a measure of direct biological
         response in health, aquatic ecological, and ter-
         restrial ecological areas, but also aid in overall
         ranking of the streams from one or a series of
         stationary sources.

         RESULTS OF LEVEL 1 SAMPLING AND
         ANALYSIS

           A few summary examples  of the data and
         their use are given in  Tables 2 and 3. These
         tables reflect the manner in which the chemical
         data can be  used to rank  15 textile effluents
         using either  a human health model or an aquat-
         ic ecological model. Table 4 details the outcome
         of using only Level 1 biological results to rank
         the same streams. Together, the chemical and
         biological rankings provide complementary in-
         formation  leading to a minimun possibility of
                                            220

-------
                       TABLE 2. HEALTH EFFECTS: SUMMARY OF CHEMICAL
                                AND BIOLOGICAL TEST RESULTS
                                   OF TEXTILE EFFLUENTS

Plant
U
S
L
W
T
N
V
F
B
K
A
C
G
X
E
la
DOH
8.86 x 1Q2
8.35 x 102
8.36 x 1fl3
4.99 x Ifl3
3.35 x 1fl3
3.28 x 1fl3
5.19X1Q2
4.52 x Ifl2
3.30 x 1fl2
1.43 x 102
1.14 X1Q2
9.90 x Ifll
9.40 x IQl
3.60 x IQl
3.30 X 10'
1b
DOH
2.9474
2.9217
3.9224
3.6984
3.5245
3.5161
2.7152
2.6551
2.5185
2.1553
2.0569
1.9956
1.9731
1.5563
1.5185
* = data not available
M = n
loderate toxii
city rating
2
3
4
5
AMES RAM WI-38 RAT
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
2 =
3 =
N
*
M
L
M
M
N
L
N
N
N
L
N
L
N
AMES =
RAM =
*
*
L
*
*
L
*
*
*
*
*
*
*
*
*
~- mutagenicity
rabbit alveolar
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
test

                       L = low toxicity rating
                       N = no detectable toxicity
                       la = DOH = degree of hazard
                       1b = DOH = degree of hazard
                                Oog10)
        macrophage
4 = WI-38 = human embryonic
         lung cells
5 = RAT = rodent acute
        toxicity
underestimating a potential environmental in-
sult.

 RELEVANT ONGOING STUDIES

   Although considerable effort has gone into
 development of the phased  approach to envi-
 ronmental  assessment, there are still many
 areas requiring further investigation and im-
 provement. The results of data gathered dur-
 ing the application of the phased approach  to
 environmental  assessments  have  provided
 guidance to IERL-RTP in planning supportive
 investigations  for Levels 1, 2, and  3.  Listed
 below are relevant studies that have resulted
 from the experience gained from assessments
 conducted to date.
   • Use of porous polymer resins for sampling
     of organics from water.
   • Sampling and analysis of highly water-sol-
     uble organics.
      •  Interpretation and synthesis of Level 1
         chemical, biological, and engineering data.
      •  Increased accuracy of spark source mass
         spectrometry (SSMS) analysis, and exten-
         sion to arsenic and antimony.
      •  Use of ion chromatography for anion analy-
         sis.
      •  Evaluation  and upgrading of the terres-
         trial biological tests.
      The  objective  of  Level  1 sampling and
     analysis is to provide cost-effective screening
     information for source assessment. This objec-
     tive requires a comprehensive approach rather
     than a  specific one. Specificity is left for Lev-
     el 2.
      Evaluation of control technology for its ef-
     fectiveness and ability to perform over typical
     variations in stream composition is an integral
     part of Level 3. The use of selected  Level  1
     analyses specifically from the biological testing
     scheme is a distinct possibility at Level 3. This
                                              221

-------
                    TABLE 3. ECOLOGICAL EFFECTS: SUMMARY OF CHEMICAL AND
                         BIOLOGICAL TEST RESULTS OF TEXTILE EFFLUENTS
Plant
N
L
C
B
E
V
F
T
U
A
G
K
S
W
X
6a
DON
1.51 xtfl5
6.07 x 10*
3.62X1Q4
3.05 X 1fl4
2.91X104
2.S4X104
2.23 X104
1.56x104"
1.46X1Q4
1.36X104
1.15X104
1.06 X1Q4
9.48X103
5.62 x 1fl3
3.43 x 102
6b
DON
5.1806
4.7830
4.5589
4.4836
4.4638
4.4051
4.3482
4.1939
4.1646
4.1345
4.061 8 '
4.0249
3.9770
3.7494
2.5353
7
FW
ALGAL
M
N
N
L
M
N
N
N
,N
N
N
N
N
N
N
8
FW
FISH
L
L
L
N
N
L
N
L
N
L
L
N
N
L
N
9
FW
DAPHNIA
H
L
L
N
M
M
L
N
L
'M
L
N
*
M
N
10
sw
ALGAL
M
M
L
N
L
L
L
L
N
*
L
L
N
L
N
11
SW
FISH
L
N
L
N
N
*
N
L
N
L
N
N
N
L
N
12
SW GRASS
SHRIMP
L
. N
L
N
N
*
N
L
N
L
N
N
N
L
N
               * = data not available
               H = high toxicity rating
               M = moderate toxicity rating
               L = low toxicity rating
               N = no detectable toxicity
6a = DOH = degree of hazard
6b = DOH = degree of hazard
 7 = FW ALGAL = freshwater algal
 8 = FW FISH = fathead minnow
 9 = FW DAPHNIA = freshwater invertebrate
10 = SWALGAL = marine algal
11 = SW FISH = marine sheepshead minnow
12 = SW G R ASS SH R IMP = saltwater shrimp
 TABLE 4. PRIORITIZATION OF TEXTILE PLANTS BY
       TOXICITY OF SECONDARY EFFLUENT
Toxicity ranking
Most toxic



Least Toxic
Nontoxic

Plant
N.A
W
C,T
V,L
S
B, E, F, G, K,
U,X
approach has been employed to determine the
reduction in toxicity before and after tertiary
treatment at plants  selected  as high priority
from the 15 sites screened by Level 1.
  Many methods and  their  uses  have been
  touched upon in a fairly cursory manner in an
  attempt to present an overview in a reasonable
  amount of time and space. More details can be
  found in the references cited.


 REFERENCES

  1. J. W. Hammersma and S. L. Reynolds, "Field
     Test Sampling/Analytical Strategies  and
     Implementation Cost Estimates: Coal  Gas-
     ification and  Flue Gas  Desulfurization,"
     EPA-600/2-76-093b, NTIS No. PB 254166,
     April 1976.
  2. J. Vlahakis and H. Abelson, "Environmen-
     tal Assessment Sampling and Analytical
     Strategy  Program,"  EPA-600/2-76-093a,
     NTIS No. PB 261259, May 1976.
  3. L. D. Johnson, "Proceedings for Environ-
                                            222

-------
   mental Assessment of Industrial Waste-
   water," Symposium Proceedings:  Third
   Annual Conference on Treatment and Dis-
   posal of Industrial Wastewaters and Resi-
   dues, Houston, TX, April 1978.
4. J. A. Dorsey, L. D. Johnson, R. M. Statnick,
   and C. H. Lochmuller, "Environmental As-
   sessment Sampling and Analysis: Phased
   Approach and Techniques  for  Level  1,"
   EPA-600/2-77-115, NTIS No.  PB  268563,
   June 1977.
5. L. D. Johnson and R. G. Merrill, "Organic
   Analysis for Environmental Assessment,"
   Symposium Proceedings: Environmental
   Aspects of Fuel Conversion  Technology,
   HI  (September  1977,  Hollywood, FL),
   EPA-600/7-78-063, NTIS No.  PB  282429,
   April 1978.
6. R.   M.  Statnick  and  L.  D.  Johnson,
   "Measurements  Programs  for  Environ-
   mental Assessment," Symposium Proceed-
   ings: Environmental Aspects of Fuel Con-
   version Technology,  II (December  1975,
   Hollywood, FL), EPA-600/2-76-149, NTIS
   No. PB 257182, June 1976.
7. L. D. Johnson and J. A. Dorsey,  "Environ-
   mental Protection Agency Level 1 Chem-
   istry:  Status and  Experiences,"  Sympo-
   sium Proceedings:  Symposium  on Poten-
   tial Health and Environmental Effects of
   Synthetic Fossil Fuel Technologies, Gatlin-
   burg, TN, September 1978.
8. J. W. Hammersma, S. L. Reynolds, and
   R. F. Maddalone, "IERL-RTP Procedures
   Manual:  Level 1  Environmental  Assess-
   ment," EPA-600/2-76-160a, (NTIS No. PB
   257850, June 1976.
 9. D. B. Harris, W. B. Kuykendal, and L. D.
   Johnson, "Development of a Source As-
   sessment Sampling System," presented at
   the Fourth National Conference on Energy
   and the Environment, Cincinnati, OH, Oc-
   tober 1976.
10. P. W. Jones, A. P. Graffeo, R. Detrick, P. A.
   Clarke, and R. J. Jakobsen,  Technical
   Manual for Analysis of Organic Materials
   in  Process Streams,  EPA-600/2-76-072,
   NTIS No. PB 259299, March 1976.
11. G. T. Brookman, J. J. Binder, and  W. A.
   Wade, "Sampling  and  Modeling of Non-
   Point Sources  at  a Coal  Fired Utility,"
   EPA-600/2-77-199,  NTIS No.  PB 274369,
   September 1977.
12. K. M. Duke, M.  E. Davis, and A. J. Dennis,
   IERL-RTP  Procedures Manual: Level  1
   Environmental  Assessment  Biological
   Tests for Pilot  Studies, EPA-600/7-77-043,
   NTIS No. PB 268484, April 1977.
13. American  Public  Health  Association,
   Standard Methods for the Examination of
   Water and Wastewater,  14th  Edition,
   APHA, Washington, DC, 1975.
14. U.S.  Environmental Protection Agency,
   Manual of Methods for Chemical Analysis
   of Water and  Wastes, EPA-625/6-74-003,
   1974.
15. Arthur D. Little, Inc.,  Monthly Progress
   Report on EPA Contract 68-02-2150, April
   1977, to be published in a forthcoming EPA
   report.
                                           223

-------
      SHORT-TERM BIOTESTING OF ENVIRONMENTAL  EFFLUENTS

                                     Shahbeg S. Sandhu*
Abstract

  The U.S.  Environmental Protection Agency
has proposed a phased approach for evaluating
the health and ecological impact of industrial ef-
fluents. Biotesting is considered an integral part
of this approach. The bioassays included in the
first phase,  Level 1, are relatively simple, inex-
pensive, and rapid. The data generated by these
bioassays are considered to be of preliminary na-
ture  and are  used  only for prioritizing waste
streams for further attention  regarding imple-
mentation of control technology. Included in
Level 1 are bioassays for the evaluation of effects
on health, terrestrial ecology, freshwater ecology,
and marine ecology.  With the exception of one
bioassay (Ames test), the tests included in Level
1 provide only the acute toxic effects. More ex-
tensive testing is required to verify the results
obtained from the Level 1  test matrix.

INTRODUCTION

   Environmental pollution created by the in-
dustrial nations has significantly increased dur-
ing the last three decades. The revolution in the
chemical industry after World War II and  the
increased demand for chemical products and by-
products have been responsible for increasing
the quantities and distribution of hazardous
substances in the biosphere. The need for devel-
oping new sources of energy involving synthetic
fuels  and  coal conversion technologies   has
added new dimensions  to the  existing  en-
vironmental problems.
   Recent episodes arising from the lack of in-
stalling proper process control technology as in
the case of  Seveso in Italy, and mishandling of
industrial waste  as in the cases of the Love
Canal in the United States and B. T. Kemi in
Sweden have aroused public awareness to the
hazards associated with  industrial effluents
and wastes.
   Environmental assessment is an attempt to
  'Health Effects Research Laboratory, U.S. Environmen-
   tal Protection Agency, Research Triangle Park, NC.
evaluate the overall health and ecological im-
pact of  industrial  emissions, effluents, and
wastes. The approach to environmental assess-
ment is complicated by the awesome number of
technologies that must be evaluated. It is not
practical to provide a toxicological and ecolog-
ical assessment of the emissions and effluents
from these industrial sources by conventional
means. Therefore, the development of inexpen-
sive, short-term, and simple bioassays is a crit-
ical step in evaluating the health and ecological
hazard from industrial technologies.
  It is clear that chemical and biological analy-
ses have a dual role in the process of environ-
mental assessment.  Chemical  analysis, while
indicative, cannot provide sufficient data for
complete  evaluation of potential pollutant ef-
fects because the biological activity of complex
samples cannot be consistently predicted. Al-
though bioassays can indicate the biological ac-
tivity  of a given sample, they cannot specify
which  components of a crude  sample are re-
sponsible for the observed toxicity.
  In considering the application of analytical
chemical methodology, it is important to real-
ize  that the presence or absence of a ' nown
toxic  component within  a  complex  cample
neither indicates nor precludes a relationship
between that component and the biological ac-
tivity of the sample. To avoid the possibility of
overlooking unanticipated biologically active
components, chemical analysis should not be
restricted  to determination  of  preselected
known toxic compounds or suspected hazard-
ous components of a complex sample. However,
it may be technically overwhelming to analyze
for  all of the known or suspected hazardous
components in a large number of complex sam-
p: ;s. For this reason, and for cost effective-
ness, it can be argued that a phased approach
involving stepwise application of biological and
chemical methodology is appropriate  in eval-
uating the potential health and ecological haz-
ard of  complex mixtures.
  The  Industrial  Environmental  Research
Laboratory of the Environmental Protection
Agency,  Research Triangle  Park, NC (IERL-
RTP),  has delineated a 3-phase approach for
                                             225

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performing an environmental source assess-
ment in order to determine the need for control
technology (refs. 1,2). The scheme, shown in
Table  1, involves the  evaluation  of process
streams  beginning with the least expensive
and  most rapid assays, mostly qualitative in
nature, followed by more expensive and time-
consuming assays mostly  quantitative in na-
ture. This approach provides an integrated ap-
plication of physical, chemical, and biological
tests at each level.
   The  first level (Level  1) involves  rapid
 screening of a large number of industrial waste
 materials for their toxic and mutagenic effects.
 These results are used to prioritize streams for
 further evaluation in Level 2. In Level 2, the
 results obtained in Level  1 are validated and
 confirmed through more stringent and compre-
 hensive toxicological techniques and the chem-
 ical and/or physical  properties of the  waste
 materials  are  determined in greater detail.
 Level 3 source assessment examines the com-
 position and long-term variations of the more
 toxic waste  streams and focuses on the long-
 term effects of these waste streams on biolog-
 ical systems.
   The Level 1 bioassays include  health and
 ecology related bioassays that, with the excep-
 tion of one biotest, measure acute toxic effects.
 The matrix  of Level 1 bioassays is  shown in
 Table 2.
   Because of the diverse physical forms of the
 industrial  discharges  (i.e.,  liquid, solid,  and
 gaseous), all the  Level 1 bioassays listed in
 Table 2  may not be applicable to all the sam-
 ples. A suggested minimal test matrix is shown
                         in Table 3. This matrix represents a minimum
                         test  battery required to indicate potentially
                         adverse  health  and  and  ecological  effects
                         caused by an industrial waste stream.

                         DATA MANAGEMENT

                           The  number  and  diversity  of  proposed
                         bioassays employed in environmental assess-
                         ment require the development  of a uniform
                         data  reporting  format  that permits the ex-
                         amination, interpretation, and correlation of
                         the results. The data from each bioassay are ar-
                         bitrarily reduced to  levels of toxicity—high,
                         moderate, weak, or nondetectable.
                           The criteria for determining the level of tox-
                         icity (also shown in Table 4) are listed below.

                           Nondetectable—no significant response as
                           determined by a preestablished set of crite-
                           ria including statistical analysis where ap-
                           propriate.  The nondetectable  classification
                           would take into account certain toxicants
                           that could be present in a sample below the
                           level  of detectability for the  assay. This
                           classification would also take into considera-
                           tion methods for  concentration and/or  ex-
                           traction.
                           Low—a significant  response or LDso (ECso)
                           ranging from the maximum dose applicable
                           to the assay system (defined as MAD and es-
                           tablished in advance) to one-tenth of that
                           value. For  example, if it is established that
                           10  g/kg will define the upper limit of sample
                           application to rats in the acute rodent toxic-
                           ity test, then any sample with an LD^ value
                           < 10 g/kg down to a concentration of 1 g/kg
                TABLE 1. THE IERL-RTP PHASED APPROACH TO ENVIRONMENTAL ASSESSMENT
           Level
Objective
                                                     Bioassays
      Use
                    Screening, detection


                    Verification, identification
                    of toxic components


                    Long-term effects
                   Simple, inexpensive, rapid
                   Mostly qualitative data

                   Mostly quantitative data,
                   well-defined end points
                   Expensive and comprehensive

                   Animal and ecosystem studies,
                   chronic exposure
Prioritization for
further testing

Development of
control tech-
nology

Health and eco-
logical hazard
assessment
                                               226

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                            TABLE Z. IERL-RTP LEVEL 1 BIOASSAYS
Test system
Health-related in vitro tests
Ames salmonella/microsome
mutagenicity
RAM-cytotoxicity
WI-38-cytotoxicity
CHO-cytotoxicity
Study time
(weeks)
3
3
3
3
Sample
1 g/50 ml
0.5 g/50 ml
0.5 g/50 ml
0 g/50 ml
Approximate
cost($)
600
600
340
340
      Health-related in vivo tests
         Rodent range-finding test

      Freshwater toxicity ecology tests
         Algal
         Daphnia-static
         Fish

      Marine ecology tests
         Fish
         Shrimp

      Terrestial ecology related bioassays
      (Under development)
                      3
                      1
                      1
                                     100g/liter
                                                          200 liters
                                                          200 liters
                                                          200 liters
                                      50 liters
                                      50 liters
                                                                            640
1,570
1,000
1,570
                                                                                1,570
                          TABLE 3. LEVEL 1 MINIMAL TEST MATRIX
Sample
                               Health effects tests
                                         Ecological effects tests
Liquids

Solids
 (aqueous extract)
Particulates
Sorbent (extract)

Gases
Ames, CHO

Ames, RAM, whole animal

Ames, RAM, whole animal
Ames, CHO

Ames
                                                     Aquatic, seed germination, nitrogen and
                                                       seedling growth fixation
                                                     Aquatic, seed germination, nitrogen and
                                                       seedling growth fixation
                                                     Seed germination and seedling growth
                                                     Aquatic, seed germination, nitrogen and
                                                       seedling growth fixation
                                                     Plant stress ethylene and foliar injury
                                                       insect toxicity
                                              227

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           TABLE 4. OPERATING CHARACTERISTICS OF WASTE TREATMENT SYSTEMS FOR TEXTILES
Range of concentration defining
Assay
Ames
Rodent toxicity
Fresh water and marine
aquatic assays §
RAM
CHO/WI-38 toxicity
MAD
5 mg/plate or 500 /Jl
10mg/literor100%
100 mg/literor 100%
1,000 /jg/ml orBOO/jl/ml
1,OOOM9/ml or 600 Ml/ml
High
10g/kgor
equivalent.
LDsfj at > 100 mg/liter
or 100%.
ECso at >1, 000 Mg/ml or
600 I/ml.
ECBfjat >1,OOOMg/mlor
600 Ml/ml.
   Criteria for positive or negative interpretation of the Ames test are given in Appendix C.
   s MAO for aquatic studies is set at 100 mg/liter or 100% if the total sample concentration is less than 100 mg/ml. Compound solubility can be used to set an upper
   limit in this assay.
  Notes: MAO = Maximum Applied Oose
       MTD = Maximum Tolerated Dose
LD5Q = Lethal Dose 50%
EC5Q = Effective concentration (50% may be substituted).
   will be defined as having low toxicity. The
   degree of any concentration procedure will
   be factored into the calculation procedure
   and will reduce the level of toxicity accord-
   ingly.
   Moderate—a. significant response or an LDso
   (ECso)  value ranging from  a concentration
   less than 1/10 of the MAD (the lower limit of
   the low toxicity) to 1/100 of the MAD. Again
   using the same illustration, an LDso (ECso)
   obtained at a concentration ranging from 0.1
   g/kg to 1.0 g/kg in the rodent toxicity assay
   will be considered as moderate. The same
   considerations of sample concentration will
   apply.
   High—a  significant  response or  an  LDso
   (ECso) value less than 1/100 of the MAD for
   the particular assay. Thus, any sample with
   an LDso less than 0.1 g/kg in the rodent assay
   will be considered to have high toxicity.

 THE PILOT STUDIES

   Most short-term bioassays employed in the
 Level 1 environmental assessment  program
 were developed for testing relatively "pure"
 compounds. Their reliability for testing com-
 plex mixtures was not known. It was decided,
therefore, to test the feasibility of biotesting of
industrial samples in pilot studies.
             Samples  from  three  industries —textile
           wastewater, fluidized-bed combustor, and coal
           gasification — were evaluated in  these  pilot
           studies. The contract laboratories and  EPA
           technical advisors involved in conducting these
           pilot studies are listed in Figure 1. The details
           of bioassay protocol, data interpretation, and
           data evaluation  are  presented  elsewhere in
           this document. Only the overall summary and
           conclusions from the application of the short-
           term Level 1  bioassay matrix are presented
           here.
              Biological activity, especially genetic ac-
              tivity, may be masked by toxicity and may
              require chemical fractionation in order to
              demonstrate activity in the sample.
              For liquid affluents, tests for potential eco-
              logical effects may be more sensitive than
              tests for potential health effects due to
              concentration dilution problems.
              The prediction of relative toxicity on the
              basis of chemical analysis alone is subject
              to error.
              Results of biological and chemical tests
              are complementary—considered together
              the two types of tests provide useful infor-
              mation not obtainable when considered
              separately.
                                               228

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                               EPA TASK OFFICER
                             MRC PROJECT LEADER
                             SAMPLE COLLECTION
                                    MRC
                  _L
             BIOASSAY AND
          TESTING LABORATORY
              MUTAGENICITY
               SRI AND MRC
               CYTOTOXICITY
            NORTHROP AND MRC
             FATHEAD MINNOW
               AND DAPHNIA
                   EPA
            FRESHWATER ALGAE
                   EPA
            SHEEPSHEAD MINNOW
             AND GRASS SHRIMP
                BIONOMICS
               MARINE ALGAE
                   EPA
                14 - DAY RAT
            ACUTE TOXICITY TES1
             LITTON BIONETICS
              SOIL MICROCOSM
                   EPA
                                     J
                                                  EPA TECHNICAL
                                                     ADVISOR
                                                    HERL-RTP
                                                    M. WATERS
                                                  ERL-NEWTOWN
                                                   W. HORNING
                                                 ERL- GULF BREEZE
                                                     J. WALSH
  HERL-CINC
   J. STARA
EPA - CORVALLIS
 B. LIGHTHART
Figure 1.  Laboratories and EPA technical advisors involved in biotesting of effluent samples
                               in pilot studies.
                                    229

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RELIABILITY OF LEVEL 1 BIOASSAYS

  The utility of short-term bioassays included
in the Level 1 environmental assessment pro-
gram is for the identification of hazardous
streams and to prioritize the streams for fur-
ther testing in higher order bioassays, based
on positive results across Level 1 test systems.
The data from Level 1 testing are not used for
making decisions on the extent of hazard or
safety of the streams. The bioassays included
in Level 1 are in various stages of develop-
ment. Some of them, such as the Ames Salmon-
e//a/microsome  assay, have  been reasonably
well validated for testing a variety of com-
pounds; whereas others,  such as assays to
evaluate terrestrial effects, are not  as fully
developed. The results from the pilot study on
textile wastewater suggest that it may be nec-
essary to concentrate certain liquid samples
before these can be subjected to biotesting by
in vitro techniques. The  nature of in vitro pro-
cedures, dictates the use of very small aliquots
of aqueous samples. In a complex mixture the
bioactive components may be present in very
small  amounts.  Then  detection, therefore,
becomes difficult because of the limitations of
the bioassay. To obtain reliable results from in
vitro tests, the liquid samples frequently will
have  to be concentrated before testing. Also,
especially for the in vivo range-finding rat test,
the possible need for bioconcentration should
be considered. The test animals should receive
a daily dose  of the test material rather than a
single quantal dose as suggested in the IERL-
RTP Level 1 Bioassay Procedures Manual (ref.
1).

BIOASSAY-DIRECTED FRACTIONATION


  It may be difficult to detect and/or delineate
the  biological effects of a  complex  mixture
without separating it into subfractions because
the active compounds may be present in very
low concentrations. It is therefore desirable to
separate the mixtures into similar components
for the purpose of concentrating and eventual-
ly identifying the active compounds. A limited
fractionation approach has  been successfully
applied to the study of synfuel products and
emissions from  diesel  combustion. In  this
scheme, the test sample is fractionated  into
four fractions; i.e., acidic, basic,  neutral, and
residual. Each  fraction is further tested for
genotoxic activity in microbial tests.  The
overall conclusion from the  synfuel studies is
that the results from the unfractionated com-
plex mixture sample may be misleading. In the
majority of cases, cumulative activity of the in-
dividual fractions  is several fold higher than
the unfractionated sample (ref. 3). It is  antic-
ipated that a simple fractionated scheme  will
be adopted  for biotesting of industrial efflu-
ents and streams.
REFERENCES

1.  K. M. Duke, M. E. Davis, and A. J. Dennis,
    IERL-RTP Procedures Manual Level 1
    Environmental  Assessment  Biological
    Tests for Pilot Studies, EPA-600/7-77-043,
    1977.
2.  James A. Dorsey, Larry D. Johnson, Rob-
    ert M.  Statnick, and Charles H.  Lock-
    miiller, Environmental Assessment Sam-
    pling and Analysis: Phased Approach and
    Techniques for Level 1, EPA-600/2-77-115,
    June 1977.
3.  M. D. Waters  and J. L. Epler, "Status of
    Bioscreening of  Emissions and Effluents
    from Energy Technologies," presented at
    Third National Conference on the Inter-
    agency  Energy/Environment  R&D Pro-
    gram, June 1-2,1978, Washington, DC.
                                             230

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    THE TESTING OF ENVIRONMENTAL SAMPLES FOR MUTAGENICITY
       AND CARCINOGENICITY USING MICROBIAL ASSAY SYSTEMS
                   Larry D. Claxton, Joellen Huisingh, Michael Waters*
Abstract
  This paper will present a brief description of
several microbial assay systems for mutagenic-
ity and DNA damage. Using the Salmonella
mutagenicity assay, an attempt will be made
to identify and discuss  the technical difficul-
ties encountered in the  screening of complex
environmental samples. A second objective is
to present available procedural modifications
together with the utility of these  modifica-
tions. The reproducibility and interpretation of
the data from short-term bioassays will be dis-
cussed.

INTRODUCTION

   It has been  reported  that over  4  million
distinct chemicals are now  known  and that
63,000 chemicals are thought to be in common
use (ref. 1). Trying to determine the public
health  effects  of such  a  large  number of
chemicals is  a  massive  undertaking (ref. 2).
Microbial mutagenicity assays are now being
used to identify agents showing genetic activi-
ty and as a carcinogen prescreen. A variety of
short-term tests are available;  however, the
Salmonella mutagenicity assay  has  been the
most extensively used. This paper will explore
the basic  protocol, precautions, and modifica-
tions  (Ames)  of the Salmonella typhimurium
mammalian microsome assay. The application
of this assay  to complex mixtures such as in-
dustrial emissions and effluents  will be dis-
cussed and methods of concentration,  extrac-
tion, and fractionation will be considered. Since
interpretation of results may sometimes be dif-
ficult, some discussion will concern the presen-
tation and interpretation of data. Although the
discussion will be mainly  limited to the Salmon-
ella assay, many of the considerations can be
  *Biochemistry Branch, U.S. Environmental Protection
   Agency, Environmental Toxicology Division, Health El'
   lects Research Laboratory.  Research Triangle Park,
   NC.
applied to other in vitro tests for mutagenicity.

THE BASIC SALMONELLA PLATE
INCORPORATION TEST

  The reference protocol is described by Ames
et al. (ref. 3) and will not be repeated here. The
outline of the basic procedural protocol is a
very simple one (Figure 1). Basically, a specific
amount of the chemical to be tested and a mix-
ture of the indicator bacterial strain are added
to melted soft agar, mixed,  and poured into a
minimal media plate that will  select for bac-
teria that have undergone mutation. The plate
is incubated for 48 hours at 37° C and then
scored for the number of colonies per plate.
This procedure is repeated for each dose of the
chemical; for each bacterial strain;  for each
routine modification  (e.g., with and without
microsomal activation); for  each  needed con-
trol; and for each duplication. Therefore, a
chemical tested at 5 doses, with 3 replicate
plates  at each dose, with 5 bacterial strains,
with appropriate controls, and done both with
and without microsomal activation, will cause
this basic procedure to be repeated a minimum
of 210 times, thus generating 210 "data points"
for each chemical to be analyzed.
  The procedure scores  for gene mutations
that occur in the histidine locus  in strains of
Salmonella typhimurium created by Dr. Bruce
Ames. Each of these strains has  undergone a
specific mutation within the histidine locus and
thus is unable to grow unless histidine is sup-
plied. These strains are said to have a histi-
dine-negative  genome (his -).  When  these
strains mutate to a histidine-positive genome
they can be detected on a nutrient medium
that lacks  histidine.  Since  these  strains are
"mutating back" to a wild type condition, a
reverse mutation is said to occur; however, the
biochemical mechanisms are the same as occur
in forward mutation. Systems that detect for-
ward  mutation, though, are generally not lim-
ited to a specific type of genetic event (e.g., a
frameshift or a point mutation), whereas a re-
verse mutation system does detect a specific
                                            231

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         PLATE INCORPORATION TEST:
              S-9 MICROSOMES
     BACTERIA-
                            -CHEMICAL
            SOFT AGAR OVERLAY
                                                                INCUBATE
                                                             _». 48 hrs., 37° C
                                  PLATE WITH OVERLAY
                                                  RESULTS:
            CONTROL
                           INCREASING DOSAGE
                           (MUTAGENIC WITH NO KILLING)
                         Figure 1.  Outline of basic procedural protocol.
type of mutation. Since  screening  systems
need to score for a variety of genetic muta-
tional events, several  different Salmonella
strains have been developed. Each strain de-
tects a specific type of mutation and incor-
porates other changes needed to increase its
sensitivity. There are now five strains in com-
mon  use (Table  1). Three  of these  strains
(TA1537, TA1538, TA98) detect frameshift mu-
tations. TA1537  detects compounds  such as
9-aminoacridine. TA1538 and TA98 both detect
compounds such  as 2-nitrosofluorenone, but
differ in the fact that TA98 contains an R fac-
tor plasmid. Chemicals that produce base-pair
substitutions, especially alkylating agents, are
detected in TA1535. Strain TA100 was devel-
oped from TA1535 by the addition of the R fac-
tor plasmid. TA100 has a rather  high  sponta-
neous mutation rate and may detect chemicals
that normally yield frameshift mutations  as
well as base-pair substitutions.    **
   In addition to the histidine locus alteration,
these strains carry an rfa mutation that cre-
ates a  deficiency  in  the  bacterial cell  wall
lipopolysaccharides. This deficiency increases
the cell's permeability to large molecules. The
uyr B mutation was added to these strains to
increase their susceptibility to several classes
of mutagens by decreasing genetic repair. The
R factor plasmid found in strains TA98 and
TA100 increases further the  sensitivity of the
tester  strains  by participating in a type  of
error-prone repair.  The plasmid is detected by
ampicillan resistance. These strains also differ
in the number of spontaneous revertants per
plate generally found. Table 1 summarizes the
characteristics of the five strains.
                                             232

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                 TABLE 1. CHARACTERISITICS OF FIVE SALMONELLA TYPHIMURIUM
                                      TESTER STRAINS
Strain
TA1535
TA1537
TA1538
TA98
TA100
his-mutation
his G46
his C3076
hjs_D3052
his D3052
his G46
rfa
Yes
Yes
Yes
Yes
Yes
uvr B
Yes
Yes
Yes
Yes
Yes
R factor
No
No
No
Yes
Yes
Spontaneous
revertants/plate
5-50
2-25
540
15-75
80-200
MAMMALIAN METABOLIC ACTIVATION

  Some compounds that are carcinogenic for
mammals  are  not mutagenic  for  bacteria;
therefore,  a mammalian metabolic activation
system has been added to the assay. This addi-
tion allows for some of the metabolites as well
as the agent itself to be tested for mutagenic-
ity. The activation system described by Ames
consists of a 9,000 x  g  supernatant of a rat
liver homogenate. Aroclor induction of the rats
is done in order to induce the hepatic enzymes
referred to collectively as mixed function oxy-
genases (MFO). An induced MFO system gives
the potential  for increased  levels of metab-
olites and  a corresponding increase in revert-
ant colonies due to mutagenic metabolites.

PRECAUTIONS  AND PROCEDURAL
MODIFICATIONS

  Although the  reference protocol  has been
described in great detail, separate laboratories
may make certain modifications to meet spe-
cial needs. The authors  will attempt to
describe procedures likely to be neglected or
altered and the potential effects this is liable to
have on the reliability of the generated data.
This should be helpful to both the laboratory
investigator using the test and the reviewer
who examines only the results. The points con-
sidered will follow as closely as possible the se-
quence encountered within a testing protocol.

Checking  of Tester Strains

  Upon the receipt of tester strains and at
regular intervals, the tester strains should be
checked for UV sensitivity, ampicillan resist-
ance, and crystal violet killing. A failure to
check these parameters could allow for mixed
cultures and decreased sensitivity or false neg-
atives  and positives. If these parameters are
not checked, the test should be considered un-
acceptable. Although spontaneous and positive
controls are conducted with each test, the in-
validating of some tests can be prevented by
checking spontaneous and induced mutant lev-
els when creating master plates.

Proper Overnight Culture Growths

  Variation between bacterial strains, media
used, and testing conditions can cause consid-
erable  variation in the bacterial culture used
for testing. Three conditions should alwpys be
met  for the routine screening of  chemicals.
First, a single colony isolate should be used to
initiate the culture.  This  helps  to insure
genetic uniformity of the broth culture. Sec-
ond, the test culture should  have a concentra-
tion  of 1 to  2  x 109  viable cells per milliliter.
Note that it is viable cells per milliliter. This
can best be insured by using the culture in the
early portion of the  stationary growth phase.
Next, if cells cannot be used immediately upon
harvesting,  they should be  stored in an  ice-
wa.tr f bath.

 mammalian Activation System

  For  general screening the 9,000 x  g super-
natant (S9) from rat liver induced with Aroclor
1254 is generally recommended. This is an area
of the protocol that can be modified in a variety
of ways. One may modify the organism (rat,
mouse, guinea pig, plant, bacterial flora, etc.);
the  tissue  source   (skin, liver,  kidney,  em-
                                            233

-------
bryoes, etc.); the  biochemical fraction  (S9,
purified microsomes, etc.); induction chemicals
(Aroclor, phenobarbitol, ethanol, etc.); and the
induction  schedule. One may also use in  vivo
activation by examining the urine or bile  of
treated animals.
  These modifications are  not generally ap-
plied. However, there are typically two indica-
tions for using one or more of  these modifica-
tions. First, if the route of exposure or the con-
centration of the substance is associated with a
specific organ, that tissue could be used in ad-
dition to liver. Second, when compounds of like
chemical structure are shown  to be positive
only when one of these modifications is used,
that  modification  should   be  used.  As an
example,  since  human exposure  to  flame
retardants  occurs  via  the  skin,  Rosenkranz
tested the activation of tris (2,3-dibromogropyl)
phosphate ("Tris") using skin enzymes (ref. 7).
He found that the skin of newborn animals was
capable of transforming "Tris"  to a mutagenic
intermediate  and that this  activity was en-
hanced by inducers such as Aroclor.

The Substance  to be Tested

   The test sample  brings  the greatest  var-
iability into the test system; therefore, the ef-
fects of the substance tested should be closely
defined. First, an adequate number of concen-
trations and range of concentrations should be
tested. With the initial screening of a  sub-
stance, at least five doses at half-log intervals
should  be tested if possible. Compounds de-
monstrating  little  or  no  toxicity  should
preferably  be tested in the 5- to 10-mg per
plate range before being reported as negative.
  The solubility  of the test substance should
be noted when placed both into the solvent and
into agar overlay.  The precipitating  of  sub-
stances may  not allow for  adequate testing.
Highly  volatile substances may evaporate so
quickly that they are not adequately tested.
These  volatile substances should be tested  in
sealed bags or dessicators.
  Some indication of the toxicity should be
recorded.  For example, if clearing of the  test
plates is seen at all doses, lower doses should
be tested in  order to assure that the effect seen
is not due to toxicity. Also, a negative mutation
response when no toxicity is seen is a question-
able result. When toxicity does result, some of
the bacteria may lyse and contribute histidine
to media; therefore, cross feeding may result
and colonies that are not revertants may be
found. Usually  these  colonies are small  pin-
point colonies, yet that is not always the case.
Colonies from representative plates should be
transferred to minimal  media plates without
histidine to insure that they are revertant col-
onies. Replica plating is  an excellent means of
accomplishing this check.
   Other substances, especially complex mix-
tures  and technical-grade  chemicals,  may
either contain histidine or histidine-like-acting
components. Strain TA100 is especially  sensi-
tive to small increases in histidine. One should
determine if the test substance is related to a
known  compound that  has been previously
tested. Some chemical classes (such as the low-
molecular-weight nitrosamines) are known to
give  negative  results   in  the  typical  plate
incorporation test. Either a modification of the
Salmonella test or another bacterial species
should be used under these circumstances.

Within-Experiment Controls

   Every   test   should  contain   appropriate
positive, negative, and sterility controls. Table
2 records  some of the acceptable positive con-
trols for the five commonly used tester strains.
The negative control should consist of the en-
tire system without the compound to check
spontaneous mutation rate. The activation mix
and test substance should be checked for ste-
rility.

Minimal Design Criteria for Assigning
a Negative Response to the Plate Test

   Since  most   positive  results  are  easily
distinguished, the experimental design should
be done to give some definition to a negative
result. In the authors' opinion the following are
the  minimal testing requirements needed to
operationally designate a test negative. (More
will be said about defining a negative in a later
section.)
   •  Minimal of five doses at half-log intervals,
     with the highest dose being highly toxic or
     presented at a minimum of 5 mg per plate;
   •  Spontaneous and positive controls done at
     least  in duplicate;
                                             234

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                     Strain
                                  TABLE 2. CONTROL MUTAGENS
Without activation
                                                              With activation
                     TA1535      MNNG, or sodium azide, or          2-Anthramine
                                  methylmethane sulfonate

                     TA1537      9-Aminoacridine                  2-Anthramine

                     TA1538      2-Nitrofluorene, or                2-Anthramine
                                 4-Nitro-o-phenylenediamine          2-Anthramine

                     TA 98        2-Nitrofluorene, or                2-Anthramine
                                  hycanthone methanesulfonate

                     TA100       MNNG, or sodium azide, or          2-Anthramine
                                  MMS, or nitrofurantoin
  • Positive controls (in duplicate) for any bac-
    terial/microsomal activation combination
    used;
  • At least two replicates per dose;
  • At least one replicate experiment, if pos-
    sible, done with a narrower dose range;
  • Tested  in  TA1535, TA1537,  TA1538,
    TA98,  TA100  (this requirement   may
    change  with the  development  of  new
    strains and/or data);
  • Proper sterility controls; and
  • Checking of colonies for genotype.
Procedural Modifications Possible

Spot Test-
  This is a very qualitative form of the plate
test where bacteria and the activation system
(if used)  are overlayed onto  a minimal media
plate and the chemical is spotted onto the plate
or onto a paper disc on the plate. This test is
used for rapid screening of many compounds or
for substances limited by availability. The dif-
fusibility of the substance strongly influences
the results (ref. 3).

Well Test-
  The  well test  is a modification of the  spot
test, which is to be used where the supply of
the sample is very limited. After the bacteria
are overlayed, wells are cut in a specified pat-
tern. Into each well soft agar with either the
activation system, the positive control, the con-
trol solvent, or a test substance is placed. The
             advantage of the well test is that one or two
             substances can be placed, along with controls,
             on a single  plate for mutagenicity both with
             and without activation. Diffusibility again is
             the main  limiting factor  and  the results are
             only qualitative (ref. 5).

             Liquid Suspension Assay—
               This is a more quanitative test than the plate
             test; however, it is much more time consuming
             and costly.  Incubated together in a buffered
             suspension  are the bacteria, any activation
             system used, and the compound used. After a
             specified time of exposure, aliquots are trans-
             ferred to  appropriate plating media to score
             for both survival and revertant colonies. This
             procedure gives  an approximation of  actual
             mutation frequency (ref. 6).

             Preincubation Test—
               Performed otherwise  in the same manner as
             the plate  test, the preincubation test also re-
             quires that  the bacteria and chemical be pre-
             incubated together at room temperature, 37° C,
             or 45° C before soft agar is added and plating is
             done.  This modification allows for the  detec-
             tion of mutagenicity in  some compounds that
             are not detected in the plate  test, and  it is a
             less complex test than the liquid suspension
             assay (ref. 7).
             Fluctuation Test—
                Bacteria  are incubated in suspension  with
             the test substance without histidine, and the
                                              235

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number of tubes demonstrating growth are
scored. This is a very sensitive system for de-
tecting  some mutagens  and is amenable  to
automation (ref. 8).

Anaerobic Testing—
  The plate test is performed and the plates in-
cubated in Gas Pak jars in the dark at 37° C for
14 hours and then incubated aerobically. Cer-
tain chemicals (e.g., aga thioprine) can be de-
monstrated as mutagenic only in this way (ref.
4).

Host-Mediated Assay—
  With this protocol, the  bacterial  indicator
organism and the substance to be tested are
administered to a mammal via different routes.
After a specified period  of time, the bacteria
are recovered and handled as in a liquid sus-
pension test. Although the substance is dis-
tributed  and  metabolized  throughout  the
whole body, a  variety of  technical  problems
complicate the test. These include:  bacterial
recovery, bacterial-metabolite proximity, im-
mune response to bacteria, etc. (ref. 9).

Special Procedures for Complex Mixtures

  Complex  mixtures  present  a  variety  of
technical difficulties but are quite capable of
being tested. Most complex mixtures  are di-
rect  environmental pollutants  and include  a
diversity of sample  types. Some  of these
samples are very low in organics while others
are entirely organic.
  Liquid secondary effluents from 22  textile
plants were initially tested without concentra-
tion or extraction with four Salmonella  strains
and in a battery of other microbial bioassays
(ref. 10). No positive mutagenic response was
detected for any of these samples. Quantitative
chemical analytical data  on selected organics
showed the presence of suspected carcinogens
and mutagens;  the  concentrations  of these
chemicals in the effluent, however, were below
the concentration expected to be detectable in
the Salmonella  assay (ref. 10).
  The mutagenic activity of a complex mixture
may not be detectable to a variety of problems.
Examples of these would be: (1) dilution (as in
the textile wastewater example); (2)  presence
of a sample matrix which prevents release of
the mutagens into the bacterial media (as in
 the case with certain carbonaceous particulate
 samples), or (3) the presence  of highly toxic
 compounds in the mixture — which results in
 sufficient bacterial killing to prevent detection
 of bacterial mutants. To overcome  these prob-
 lems, complex mixtures must often be concen-
 trated, extracted, or  fractionated  prior  to
 bioassay. Model applications of these method
 are described below.

 Concentration—
  There are a variety of methods by which
 samples can be concentrated. If the sample is
 particulate  or  precipitates out of the solvent
 used, filtration will concentrate the  sample.
 The type of filtration  will depend upon the
 sample.  For  example,  air  particulates are
 usually filtered by the  use of polflex or glass
 fiber filters. Some water and solvent samples
 can be filtered for particulates with Millipore
 and Nucleopore filters and other similar filters.
 Air particulates also may be concentrated by
 impaction devices and electrostatic precipita-
 tion. Water and other fluid samples have been
 concentrated  by  chromatography  methods.
 The XAD  columns appear to be especially
 suited   to  water  and  urine  samples  (refs.
 11,12,13). The researcher needs to realize that
 concentration may enhance chemical reactions
 between the constitutents of a complex mix-
 ture and thereby influence bioassay results.

 Extraction—
  Active organic compounds may be attached
 to a variety of solid materials. Since bacteria
 cannot ingest most of these solid materials (as
 some mammalian cells are able to), the organics
 must be extracted from the solid  matter. A
 variety of solvent  systems have been used in-
 cluding benzene,  dichloromethane,  cyclohex-
 ane, acetone, methanol, methanol-benzene, and
 dimethyl sulfoxide. Sonication along with a sol-
vent system has also been used. Usually the
mixture  must  be  solvent exchanged before
testing in the Ames test. These approaches to
evaluating the organics associated with air, in-
dustrial, and mobile source particulates  were
recently reviewed  (ref. 14).
  Extraction has not been as extensively ap-
plied to liquid samples. However, Kulik (ref. 15)
has applied  this approach to several selected
secondary effluents from  the  textile plants
referred to above.  When any of these methods
                                             236

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are used, several questions must be addressed.
What types of compounds  are  extracted  and
are not extracted by the procedure? Does the
solvent interact with any of the compounds to
produce artifactual components? When the sol-
vent itself is mutagenic, has it been effectively
removed before testing? What special controls
should be used with testing?

Fractionation—
  Epler (ref. 16) has shown  that the mutagenic
activity of some complex mixtures  cannot be
detected until the mixture is fractionated. This
appears to happen because toxic components of
the complex mixture are removed by fractiona-
tion.
Safety  Precautions

   The following is a listing  of some safety pro-
cedures established within the author's labora-
tory.

   1. All samples for testing and positive con-
     trol chemicals are housed in  a special
     weighing  and  storage  area.  These
     samples and chemicals are recorded and
     logged in and out.
   2. All weighings and measurings of stock
     chemicals are handled  in a special weigh-
     ing room  within glove  boxes  that  are
     vented to the outside through charcoal
     filters located on the roof.
   3. Incubators,  storage  cabinets,  and
     refrigerators are vented. Upon the open-
     ing of any of these units the air within the
     unit is exhausted.
   4. All work is performed  in laminar-flow ex-
     haust hoods or  total-exhaust  biological
     hoods.
   5. All work is done in designated areas by
     employees properly clothed with dispos-
     able clothing.
   6. No mouth pipetting is allowed for any pro-
     cedure.
   7. All waste is double  bagged  and then
     placed in drums which are sealed and sent
     by a contractor to special landfill areas for
     disposal.

Data Interpretation

   Since actual mutational frequencies cannot
be calculated with the plate  test, disagreement
exists  as to the best statistical methods to
employ. The following, however, -hould be re-
ported and evaluated for ideal j dging of the
adequacy of a test:

  •  proper controls - positive, negative, ste-
     rility;
  •  solubility and stability of test chemical;
  •  replication of plates at each dose and rep-
     lication of each test;
  •  the  number and range of doses used;
  •  the  toxicity of the sample;
  •  contamination of the sample;
  •  relatedness of sample  to other known
     compounds;
  •  proportionate,increase of individual doses
     above spontaneous levels; and
  •  presence  or absence of  dose  response
     curve.
  In order to say that a definite positive  has
been seen in the author's laboratory, the fol-
lowing is expected:

  •  at least a 2.5-fold increase at one or more
     doses;
  •  a dose response curve with some type of
     "regular  curve"—i.e.,  a single  high  re-
     sponse would not be accepted;
  •  expected responses from all controls; and
  •  apparent absence of histidine cross feed-
     ing  and/or contamination.
  A dose response increase seen wit'  proper
controls  but never reaching a 2.5-fold increase
is considered questionable.
  One may present  summarized  data in  a
variety of ways. It has been suggested, how-
ever, that summarized data not be given with-
out its supporting data (ref.  17). Some of the
methods  for data presentation follow.

  1. Fold  increase  or  mutagenic  index —
     average plate counts divided by average
     spontaneous count for the same bacterial
     strain;
  2. Net increase  in  revertants — average
     counts or individual counts minus average
     spontaneous  count (this  is   generally
     considered unacceptable);
  3. Specific activity — slope of the linear por-
     tion of the dose response curve at a speci-
     fied dose (e.g., 1 mg);
  4. Specific activity fold increases —the spe-
     cific activity divided by the average spon-
     taneous count;
                                             237

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  5. Specific  response  activity — calculated
    dose needed to give a specific number of
    revertants per  plate (e.g., 200 revert-
    ants/plate) for a  specific strain;
  6. Maximum  response—maximum number
    of revertants per plate seen.
  These methods are used to compare the re-
sults of a series of tests but do not necessarily
reveal the adequacy or  positiveness  of the
results. A generally  accepted statistical  test
for  examining the results of the Salmonella
plate test has not been published and until this
occurs, people will be forced to examine the
data by these less exacting means.

REFERENCES

 1.  Thomas H. Maugh, "Chemicals: How Many
    Are There?"  Science, Vol. 199, No. 4325,
    p. 162, 1978.
 2.  Larry D. Claxton and Patricia Z. Barry,
    "Chemical  Mutagenesis: An Emerging Is-
    rue for Public Health," American Journal
    of  Public Health,   Vol. 67,  No.  11,
    pp. 1037-1042, 1977.
 3.  Bruce N.  Ames,  et al., "Methods  for
    Detecting  Carcinogens  and  Mutagens
    With  the  Salmonella/Mammalian-Micro-
    some Mutagenicity Test," Mutation Res.,
    Vol. 31, pp. 347-364, 1975.
 4.  Herbert S. Rosenkranz, et al., "The Use of
    Microbial Assay Systems in the Detection
    of Environmental  Mutagens in Complex
    Mixtures," Application   of Short Term
    Bioassays  in  the Fractionation and Anal-
    ysis of Complex Environmental Mixtures,
    M. Waters et al., eds., U.S. EPA, 1978, in
    press.
 5.  Thomas J.  Hughes, et al., "Agar Diffusion
    Well Test for Mutagehic Screening of Air
    Particulates," 1978, in review.
 6.  C.  N. Frantz and H. V. Mailing, "The
    Quantitative   Microsomal  Mutagenesis
    Assay Method," Mutation Res., Vol. 31,
    No. 6, pp. 365-380, 1975.
 7.  T. Yahagi, M. Nagao, Y. Seino, T. Mat-
    sushima, T.  Sugimura,   and  M.  Okada,
    "Mutagenicity of N-nitrosamines  on  Sal-
    monella,"  Mutation Res.,  Vol.  48,
    pp. 121-130,1977.
 8.  M.  H. L.  Green, A. M. Rogers, W. J.
    Muriel, A.  C.  Ward, and D. R. McCalla,
     "Use of a Simplified Fluctuation Test to
     Detect and  Characterize Mutagenesis by
     Nitrofurons," Mutation  Res.,  Vol.  44,
     pp. 139-143, 1977.
 9.   H.  V.  Mailing,  "The  Host-Mediated
     Assay," Proceedings of the Fourth Inter-
     national Congress, Motulsky and Lentz,
     eds., pp. 207-211, 1973.
10.   D. C. Poole, and V. F. Simon, final report
     of "In  Vitro  Microbiological Studies of
     Twenty-two  Wastewater Effluent  Sam-
     ples Reported in  Source Assessment:
     Textile Plant Wastewater Toxics Study
     Phase I," EPA Publication 600/2-78-004h,
     March 1978.
 11.  E. Yamasaki and B. N. Ames, "Concentra-
     tion of Mutagens From Urine by Absorp-
     tion With the Nonpolar Resin XAD-2: Cig-
     arette Smokers Have Mutagenic Urine,"
     Proc. Natl. Acad. Sci. USA, Vol. 71, No. 8,
     pp.  3555-3559, 1977.
 12.  C. C.  Smith,  "Strategy for Collection of
     Drinking Water Concentrates: Applica-
     tion of Short-term Bioassays in the  Frac-
     tionation and Analysis of Complex  Envi-
     ronmental Mixtures,"  EPA Publication
     600/9-78-027, pp. 227-246, September 1978.
 13.   C. D.  Chriswell, B. A. Glatz, J. S. Fritz,
     and H. S. Svec, "Mutagenic Analysis of
     Drinking Water," EPA Publication 600/
     9-78-027, pp. 447-494, September 1978.
 14.   M. D.  Waters, S. Nesnow, J. L. Huisingh,
     S. S. Sandhu, and L.  Claxton, eds., "Appli-
     cation  of Short-term Bioassays in the
     Fractionation and Analysis of  Complex
     Environmental Mixtures," EPA Publica-
     tion 600/9-78-027, September 1978.
15.   F. A.  Kulik, "Concentration of Potential
     Mutagenic Compounds in Textile Plant
     Effluents for  Application to the Salmon-
     ella  Mutagenicity Test," EPA Publication
     600/9-78-027, p. 584, September  1978.
16.   J. L. Epler, B. R. Clark,  C-h. Ho, M. R.
     Guerin, T. K. Rao, "Short-term Bioassay
     of Complex Organic Mixtures: Part  II,
     Mutagenicity  Testing," EPA Publication
     600/9-78-027, pp. 269-290.
17.   NIEHS-sponsored  conference,  "Salmon-
     ella/Microsome  Assay —Workshop  on
     Data Production and Analysis," Meeting
     Report, 1978,  in preparation.
                                            238

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   CELLULAR TOXICITY OF  LIQUID EFFLUENTS FROM TEXTILE MILLS
                          James A. Campbell,* Neil E. Garrett,*
                         Joellen L. Huisingh,* Michael D. Waters*
Abstract
  The rabbit alveolar macrophage (RAM} short-
term bioassay was used to determine the cellu-
lar toxicity of 23 water samples containing tex-
tile mill effluents.  WI-38 human lung fibro-
blasts and Chinese hamster ovary (CHO) cells
were used for comparative  cytotoxicity stud-
ies. Parameters examined in estimating cellu-
lar toxicity included:  viability by trypan blue
dye exclusion; cell numbers by optical enumer-
ation; cellular ATP by luminescence assay; and
clonal growth in CHO cells. Less than 10 per-
cent of the textile mill effluent samples studied
measurably affected macrophage viability. Ap-
proximately 30 percent significantly affected
total ATP of the macrophage. RAM and WI-38
cells responded similarly to a selected sample
of four effluents. Cellular ATP content in the
RAM and WI-38 was a sensitive index of toxic-
ity. In general, CHO clonal growth was a more
sensitive index of toxicity than ATP content of
either the RAM or WI-38.

INTRODUCTION

   In vitro testing of  environmental effluents
from  manufacturing  processes  can  be per-
formed in a wide variety of biological systems.
The parameters evaluated in determining cel-
lular toxicity frequently include  morphological
changes detectable by light and electron micro-
scopy, alteration in cell growth and division,
biochemical  alterations,  and  cytochemical
changes. In many cases environmental toxi-
cants exert their effects through complex and
indirect  mechanisms. Primary  cell cultures,
such as the macrophage, exhibit many of the
metabolic and functional attributes of the orig-
  *Northrop Services, Int., Cytotoxicity and Biochemistry
   Section, Environmental Sciences  Group,  Research
  .Triangle Park, NC.
  'U.S. Environmental Protection Agency, Biochemistry
   Branch, Environmental Toxicology Division, Health Ef-
   fects Research Laboratory, Research Triangle Park,
   NC.
inal'in vivo state. The rabbit alveolar «iacfo-
phage has been used to evaluate the toxicity of
a variety of environmental agents including
gases (refs. 1,2), salts of soluble metals (refs.
3,4,5), metal oxides (refs. 5,6), and environmen-
tal particulates (ref. 7).  Chemical analysis has
revealed a complex mixture of organic and me-
tallic compounds in liquid effluents from textile
mills. The objective of this study was to exam-
ine the  potential applicability  of the  RAM
system to determine the relative cellular tox-
icity of 23 water samples containing textUe mill
effluents. In order to compare the cytotoxic
responses in different  cell types, four of the
textile mill effluents were also evaluated using
the diploid  WI-38 human  lung fibroblast and
the aneuploid CHO cell.  Toxieity of the ef-
fluents was evaluated  in cultures of macrt>-
phages or WI-38 cells after exposure for a 20-h
period. After incubation, cell number, viability,
and  cellular adenosine triphosphate  (ATP)
were measured in control and treated cultures.
Toxicity  of  the effluent samples to the CHO
cell was evaluated by counting the number of
colonies formed after a 6-day exposure period.

 METHODS

 Sample Handling

   Liquid samples were  stored  at  4°C  and
 tested at concentrations  of 1 to 600 fil/ml in
 culture medium. Dilutions were made with sup-
 plemented culture media, sample, and/or ster-
 ile distilled water to maintain proper isotonic-
 ity.  Samples were filtered through a  0.45 /*
 Millipore filter prior to testing. Experiments
 were performed which indicated that toxicity
 observed from filtered  and  unfiltered samples
 was approximately equivalent.
   Before  cytotoxicity  testing  of unfiltered
 samples, an antibiotic sensitivity test was con-
 ducted to ascertain if antibiotics were needed
 to  suppress growth of any bacteria in the
 sample.  Nutrient agar plates were streaked
 with 0.5 ml of sample and antibiotic sensitivity
 disks were added for a 24-h incubation period.
                                              239

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The antibiotics present in the culture medium
were capable of inhibiting bacterial growth.

RAM Testing Procedure

Procurement of Macrophages and
Treatment of Cultures—
  New Zealand white rabbits of both sexes
were used.  Clinically  healthy animals  were
sacrificed by means of 150-mg injections of
sodium  pentobarbital into  the marginal ear
vein. Tracheostomies were  performed using
sterile operating procedures. Lung lavage was
performed in situ (ref. 1). Thirty ml of 0.85 per-
cent  saline  (23° C)  was introduced  into the
lungs and allowed to remain for  15  minutes.
After removal of this initial lavage fluid, five
subsequent infusions were introduced and re-
moved immediately. Lavage fluid found to con-
tain blood or mucous was discarded. The cells
were washed once in normal saline by centrif-
ugation at 450 x g for 15 minutes at 0° to 4°C.
After a second centrifugation, the cells were
resuspended in tissue culture Medium 199 with
Hanks Salts (0° to  4°C). All media and sera
were obtained  from Grand  Island Biological
Company, Grand Island, NY. Media was  sup-
plemented with 10 percent  heat-inactivated
fetal calf serum, 100 units/ml penicillin, and 100
/ig/ml streptomycin and kanamycin. Cells were
counted and viability determined by means of a
hemocytometer or Biophysics Cytograf.  The
cell suspension was then diluted to 2.0 x 106
cells per milliliter. If cell viability was less than
90 percent the cells were not used. A  differen-
tial cell count was performed with a minimum
of 200 cells being scored.
  Liquid samples in media (total volume of 1.5
ml) were then added to each of three cluster
dish wells, followed  by 0.5 ml of supplemented
Medium  199 (10 percent fetal calf serum and
antibiotics) containing 2 x 106 cells per milli-
liter. No pH adjustment was made for the ini-
tial testing. If a sample, toxic at initial testing,
caused a drop in pH below 6.8 or an  increase
above 7.6, the sample was retested under both
pH-adjusted and unadjusted  conditions.  The
adjustments were made using ultrapure  HC1
and NaOH to pH 7.2. After gentle mixing, the
dishes were incubated on a rocker platform for
a 20-h period at 37° C in a humidified atmos-
phere containing 5 percent CC-2 in  air.
 Harvest of Macrophages, Cell
 Enumeration, and Biochemical Analyses—
   At the end of the incubation, media contain-
 ing unattached cells was removed  from each
 dish and maintained separately in an ice bath.
 The attached cells  were  removed with 1.0
 ml/well of 0.25 percent trypsin and combined
 with the decanted media. One-tenth ml  of the
 combined cell  suspension was  removed for
 ATP  determinations, and 0.5 ml  for viability
 and cell number measurement.
   Viability was determined by trypan blue dye
 exclusion. For hemocytometer counts, 0.1 ml of
 0.4 percent trypan blue was added to 0.5 ml of
 cell suspension and counted after 5 minutes.
 Simultaneous  determinations of cell viability
 and cell numbers  were made.
   Adenosine triphosphate (ATP) was deter-
 mined using a Du Pont Model 760 Lumines-
 cence Biometer according to a procedure sup-
 plied  with  the instrument. Briefly, dimethyl-
 sulfoxide (0.4 ml) was used to extract ATP from
 a 0.1 ml aliquot of trypsinized cell suspension.
 After 2 minutes at room temperature, 2.5 ml of
 cold  0.01  molar  morpholinopropane sulfonic
 acid  at pH  7.4 was  added to buffer  the  ex-
 tracted sample. The extract was then placed in
 an ice bath. Aliquots of 10 /il of each  extract
 were injected into the luminescence biometer's
react'on  cuvette   containing  0.7  millimolar
luciferin, 100 units crystalline luciferase, 0.01
molar magnesium sulfate, and filtered deion-
ized H2 (total volume of 100 /d). Light emitted
from the reaction cuvette was measured photo-
metrically in the luminescence meter and was
proportional to the ATP concentration of the
sample.

 Human Lung Fibroblast (WI-38) Assay

   Human lung fibroblasts were obtained from
 the American Type Culture Collection,  Rock-
 ville, Maryland. Cells were subcultivated twice
 weekly by use of 0.25 percent trypsin in GIBCO
 solution A  at a 1:2 split ratio. Cultures were
 not employed beyond the 35th subcultivation.
 Cells  were  maintained in Basal Medium  Eagle
 with  Earle's Salts plus  10 percent fetal calf
 serum (virus  screened)  and 2  /tmol/ml-gluta-
 mine. Cells maintained under these  conditions
 showed a period of rapid growth from  24 to 72
 hours after subcultivation, during which time
                                            240

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the experiments were performed. Antibiotics
were routinely removed from the maiuteaance
cultures to -determine thejpresetffie of contain
toting mieirooTf anisms. IFoi testing  eel! viability, and ATP determinations
•p«rf0?oredS as described  iprevtau&ly  tot  the
RAM assay.

Chinese Hainster Ovacy (CHO-KI)
Clonal Cytotoxicity Test


   the Chinese Hamster Ovary ? t§ minutes. The flasks were the.0
washed with dekmized H2 and allowed to dry.
                 response experiments were
used to tfetewnioe an estimate of the sample
«conc&ntrations needetJ to reduce cell viability
ind tell ATP content by 20 percent (£620) or 50
percent (BCgok ECaj anil EC5.o values were ob-
tained from the dose response f elation by in-
verse prediction from the simple regression
line. All dose response data were mathemat-
ically transformed and then fitted to a straight
One by the method of least squares. Concentra-
tions weft expressed as the natural logarithm
of fche dose in ,/sJ/ml. Viability was transformed
to the ate sine of the s^ua?e WSJt of the fraction
of viable cells. ATP data expfgs&ed as a per-
cent of control were fitted t& a straight line
•with the  logarithm of the dose. Confidence
limits on the estimated £620 and ECso values
were obtained using standard statistical proce-
dures tref. 8).

RESULTS AND DISCUSSION

  f fte maerop-hage assay was used to evaluate
the toxicity of 23' textife mill effluents.  The
response of RAM cells to a toxic effluent from
textile mill waste water (sample N) is shown in
Figure 1. After a 20-h exposure period the ef-
fect on macrophage viability, viability index*
tref. 3), ATP, and cell number was determined.
Cell viability and viability index were reduced
from 94 percent in  control cultures to 58 per-
cent and 62 percent, respectively, in cultures
treated with 600 /tl/ml of sample. Sample N was
not appreciably cytolytic as evidenced by the
fact that  total cell  number was not affected.
Cellular ATP was the most sensitive param-
eter measured. In  cultures treated with 600
pi/ml, ATP was reduced to 7 percent of the con-
trol value.
  Dose respxrase eurwes  as illustrated in Fig-
ure I wer® obtained and the data were used to
            toSex is (fefiaed as:
    •stability ittftex =» viability 4%)
       asm of sells ifl test culture
       MB-
               is sontrol culture
                                             2*1

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    100
     50
    100
     50
             i —D
          0 20   60
200                      400

        Concentration jul/ml
                                                                                     600
        Figure 1. Response of rabbit alveolar macrophage to textile mill effluent sample N after a
                 20-hour exposure (• — », viability index; O — O viability; D — D cells/ml; and
                 • — • ATP [fg/cell]).  Cells/ml and ATP are expressed as the percent of the
                 control value.
determine an estimate of the sample concen-
trations needed to decrease, cell viability and
cell ATP content by 20 percent (EC2o) or 50
percent (EC50). Textile mill effluents for which
either  a 20 percent or 50 percent response
could be determined are shown in Table 1. The
EC20 and ECso values are accompanied by the
95  percent  confidence  intervals.  Only  two
samples, N and C, caused a significant  reduc-
tion in  cell viability. Duplicate experiments
with sample N  were performed. Two experi-
ments  were also performed with  sample C.
This sample increased the pH of the cell cul-
ture medium to 8.2 at 200 /d/ml  and pH 9.1 at
600 /il/ml. In one of the experiments sample C
               was evaluated with the pH adjusted to 7.2 and
               no toxicity was detected.
                 As shown in Table 1, seven samples signifi-
               cantly reduced cell ATP content. This result in-
               dicated that  ATP, as  measured  by lumines-
               cence  assay,  is a more  sensitive  index  of
               cellular toxicity than is viability as determined
               by trypan blue dye exclusion. Three samples,
               L, N, and C, caused a 50 percent  reduction in
               cell ATP. No detectable toxicity was observed
               with sample C after adjustment of the pH of
               the cell culture media, further indicating that
               the toxicity of this sample was due to its
               alkaline nature.
                 Textile mill  samples not  listed in Table 1
                                             242

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SAMPLE
                  TABLE 1. EFFECT OF TEXTILE MILL EFFLUENTS ON RABBIT ALVEOLAR
                                 MACROPHAGE ATP AND VIABILITY
                                 ATP»
                   ECSO (Ml/ml)
EC20 (Ml/ml)
                                  Viability*
EC60 (Ml/ml)
T
N
N
L
X
ct
F
W
	
102 (60-197)
128(90-188)
351 (198-849)
—
335(222-616)
—
— —
25 (.02-26)
29 (14-50)
38 (22-56)
40 (23-63)
48 (27-80)
61 (38-89)
94 (33-228)
137(89-192)

133(61458)
221 (129481)
	 ^_
168(106-301)

—
 •Estimated concentration (Ml/ml) which should result in 50 percent and 20 percent response after 20-h exposure. The 95 percent
  confidence intervals are represented by numbers in parentheses.
 tpH not adjusted before testing.
yielded such high estimates of sample concen-
tration necessary  to  reduce cell  viability  or
ATP that they could  not be considered valid
estimates of cytotoxicity.
  Less than 10 percent of the 23 textile mill ef-
fluent  samples studied  measurably  affected
cellular viability. However, approximately  30
percent measurably affected cellular  ATP  in
the macrophage cultures. These results indi-
cate that measurement of cellular ATP may
form a sensitive  assay for  evaluation of the
cytotoxicity of complex environmental mix-
tures.
  In order to further examine the cellular tox-
icity of the textile mill effluents, four samples
evaluated in the RAM  assay, including the
more toxic samples (L and N), and the less toxic
samples (M and R), were selected for additional
studies. Figures 2 and 3 show the effect of the
four samples on cellular  ATP content in both
the macrophage (Figure 2) and in the WI-38
human lung fibroblast (Figure 3). ATP content
of macrophages and fibroblasts was depressed
by samples L and N. Samples M and R were not
appreciably toxic in either cell system. The
similarity of response  of RAM and WI-38 cells
in culture  has previously been reported for
soluble metallic compounds (ref. 6). Such data
are interesting in  view of the species differ-
ence and the fact that unlike WI-38 fibroblasts,
macrophages do not divide in culture. These
data suggest that a variety of cell types can be
          used to provide an  effective  ranking of en-
          vironmental effluents. In previous studies of
          the cytotoxicity of metallic salts in WI-38 and
          RAM cells (refs. 3,6), cellular ATP was found to
          be a more sensitive index of toxicity than cell
          viability. ATP was also a more sensitive index
          of toxicity of textile effluents in RAM and
          WI-38 cells than was cell viability. It  is note-
          worthy that the liquid effluents from textile
          mills contain a variety of metallic compounds.
            The measurement of cellular growth and di-
          vision is one of the most widely used criteria of
          cellular toxicity. The CHO cell system exhibits
          the useful property  of  forming discrete col-
          onies from single cells and, thus, can readily be
          used to measure cellular growth. The CHO cell
          system has been reported to be sensitive to a
          variety of environmental agents (ref. 9) includ-
          ing particulate materials (ref. 7). Toxicity of the
         textile mill effluent samples was evaluated by
         examination of clonal growth after a 6-day incu-
         bation period. A comparison of the dose re-
         sponse curves from the CHO clonal assay and
         ATP content  in RAM and WI-38 cells after a
         20-h exposure is shown in Figure 4 for cultures
         treated with sample N. As can be seen, clonal
         growth of  cells was a more sensitive  method
         for determining toxicity of sample N than
         assay of ATP. It was reported previously that
         measurement of clonal growth in CHO cells
         was equivalent in sensitivity to assay  of ATP
         in the macrophage for evaluation of the toxici-
                                             243

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   0
100      200     300      400
       Concentration (jui/mt)
500
600
Figure 2. The effect of textile mill effluent samples M (n - n), R (o - 0), L (O - O), and
       N (A — A) on ATP content of the rabbit alveolar macrophage after a 20-h
       exposure.
                                244

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 0
   0
100      200     300      400
       Concentration  (jul/ml)
500
600
Figure 3: The effect of textile mill effluent san ^ies M (a - a), R (0 - 0), L (O - O), and
       N (A - A) on ATP content of the WI-38 human lung fibroblast after a 20-h
       exposure.
                                245

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                   50                100
                        Concentration  (jLil/ml)
150
200
Figure 4.  The effect of textile mill effluent sample N on ATP content of the rabbit
         alveolar macrophage (• - •) and WI-38 human lung fibroblast (A - A),
         and clonal growth in Chinese hamster ovary cells (D — o).
                                  246

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                                                             160    180     200
                       Concentration (jut/ml)
Figure 5.  Colony survival after treatment of Chinese hamster ovary cells with textile
         mill effluent sample M (D - o), L (O - O), N (A - A), and R (0 - 0).
         Toxicity of the samples was evaluated by counting the number of colonies
         formed after a 6-day exposure period.
                                   247

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ty of some particulate materials (ref. 7).
  Figure 5 shows dose response curves for
samples L, M, N, and R, which were evaluated
in the CHO clonal assay. In this system, R was
the most toxic of the four samples, reducing
colony formation to less than 2 percent of the
control value at 100 /ul/ml of effluent. Samples L
and N were about equally toxic, and sample M
was the least toxic in the CHO test. There was
no immediate explanation for the toxicity of
sample R in the CHO system since this sample
did not appreciably affect cell viability, ATP,
or cell number when tested in RAM and WI-38
cultures.
   Clonal assays may offer a different measure
of relative toxicity for some environmental ef-
fluents than proliferating cultures such as the
WI-38 or nondividing cultures such as the ma-
crophage. However,  in experiments aimed at
the evaluation of toxicity of environmental par-
ticulates, good  agreement was seen between
the RAM and CHO systems when biochemical
or cytochemical endpoints were utilized (ref. 7).
Furthermore, the agreement seen for a  num-
ber of endpoints  in the WI-38 and RAM sys-
tems suggests that similar mechanisms of eyto-
toxicity may  be operative  in these systems.
Questions involving  comparative cytotoxicity
may be resolved by additonal studies using a
variety of cell systems and toxicants.

REFERENCES

1.  D. L. Coffin, D. E. Gardner, R. S. Holzman,
    and F. J.  Wolock, "Influence of Ozone on
    Pulmonary Cells," Arch Environ Health,
    Vol. 16, pp. 633-636, 1968.
2.  D. E. Gardner, R. S.  Holzman, and D. L.
    Coffin, "Effects of Nitrogen Dioxide on Pul-
    monary Cell Population," J Bacterial, Vol.
    98, pp. 1041-1043, 1969.
 3.  M. D. Waters, D. E. Gardner, C. Aranyi,
    and D. L. Coffin, "Metal Toxicity for Rabbit
    Alveolar Macrophages in  vitro," Environ
    Res, Vol. 9, pp. 32-47, 1975.
 4.  M. D. Waters, T. 0. Vaughan, D. J. Aber-
    nathy, H. R. Garland, C. C. Cox, and D. L.
    Coffin, "Toxicity of Platinum (IV) Salts for
    Cells of  Pulmonary  Origin,"  Environ
    Health -Perspectives,  Vol.  12, pp. 45-56,
    1975.
 5.  M. D. Waters, D. E. Gardner, and D. L. Cof-
    fin, "Cytotoxic  Effects of Vanadium on
    Rabbit Alveolar  Macrophages in  vitro,"
    Toxicol  Appl Pharmacol,  Vol.  28,  pp.
    253-263, 1974.
 6.  M. D. Waters, J. L. Huisingh, and N. E.
    Garrett, "The Cellular Toxicity of Complex
    Environmental Mixtures," Proceedings of
    the  Symposium  on  the  Application of
    Short-Term Bioassays in the Fractionation
    and Analysis of Complex  Environmental
    Mixtures, Williamsburg,  VA,  1978,  in
    press.
 7.  N. E. Garrett, J. A. Campbell, J. L. Hui-
    singh, and  M. D. Waters, "The Use of
    Short-term  Bioassay  Systems  in  the
    Evaluation   of  Environmental  Particu-
    lates," Proceedings of the  Symposium on
    the Transfer and Utilization of Particulate
    Control Technology, Denver, CO, July 24,
    1978, in press.
8.  A. Hald, "Statistical Theory with Engi-
    neering  Applications,"  New York, John
    Wiley and Sons, Inc., 1952.
9.  M. T. Wininger, F. A. Kulik, and  W. D.
    Ross, "In Vitro Clonal Cytotoxicity  Assay
    Using Chinese Hamster Ovary Cells (CHO-
    Kl) for Testing Environmental Chemicals,"
    in vitro,  Vol. 14, p. 381,  1978.
                                            248

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                REPEATED-EXPOSURE TOXICOLOGY STUDIES

                                      Robert J. Weir*
Abstract

  In the conduct of toxicology evaluation there
are acute and repeated studies on chemicals.
Acute studies are useful in providing informa-
tion on  single-dose exposures. The results of
these  studies are used to compare the acute
toxicity of chemicals in terms of their LDso's,
to provide labeling information, and to provide
the industrial clinician with information to pro-
tect or treat workers in cases of accidental ex-
posure.
  Repeated exposure studies are used to pre-
dict cumulative effects in man in terms  of
chemical exposure of a continuous or repeated
nature. The data from these studies are used to
explore safety and risk in intended repeated ex-
posure (i.e., food additives, drugs) or in acci-
dental exposure (pesticides, environmental con-
taminants).

  Repeated exposure studies are usually car-
ried out on  the basis of two durations:  sub-
chronic  (usually 90 days duration) or chronic
(usually  lifetime exposure —defined  as  24
months  in rats and mice). Dosages  for chronic
studies are established on the basis of results
from subchronic studies.
  The actual designs  of  repeated exposure
studies  vary from product  to  product. This
results from the requirements on toxicologists
in the different regulatory agencies and their
own individual  preferences,  rather than  for
any rational reason.  Our test animals cannot
differentiate among drugs, pesticides,  food ad-
ditives, color   additives,  or  environmental
chemicals. Efforts are now being made to unify
study designs.
  Disregarding  these interagency differences,
an  adequate 90-day  subchronic study would
have a minimum of four groups of test animals:
one control  group and  three groups of  test
animals. The test group dosages would vary
one from another on a logarithmic basis. The
population  of animals in each group would be
no smaller  than 15 males and 15 females. The
test group  doses would be selected so that an
effect is characterized in at least one group.
  Every effort should be made to establish a
maximum tolerated dose for chronic studies;
i.e., that dosage which produces an effect that
would not be so severe as to interfere with the
course of the chro'nic study.
  Parameters measured should include: clini-
cal observations, body weight, food  consump-
tion, hematology, blood chemistry, urine analy-
sis, gross  pathology, microscopic pathology,
and survival rate.
  An adequate chronic study would  have a
minimum of four groups of test animals, one of
which  is a control  group. The high-dosage
group  would  receive  a  maximum-tolerated
dose. The middle-dose group would receive half
the maximum-tolerated dose. The  low dose
would have a relationship to the level expected
in the environment.  Each  control  and  test
group should contain a minimum of 50 male and
50 female animals, if rats or mice are  jsed as
test subjects.
  The  parameters  measured  should  be the
same as those in the subchronic study. Since
the chronic study can also be an oncogenesis
(cancer) study, emphasis should  be placed on
the tissue masses during observation of signs
of toxicity and at gross necropsy. Microscopic
examination should be made on approximately
40 major tissues from each animal. The tissues
should be read from all animals in the control
and high-level dose groups, showing reduced
survival, and/or the highest group, showing no
•  ;duced survival. Target organs should be ex-
amined in all low-level group animals.
  Let us turn our attention to textile chem-
icals, biological assessment, and the Toxic Sub-
stances Control Act (TOSCA). If textile chem-
icals are found to  have biological activity in
  *Vici> President, Litton Bionetics, Inc., Kensington, MD.
                                             249

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EPA's Level 1 Environmental Assessment or
when they are studied under TOSCA, they will
be examined according to the  above or similar
protocols.
  It is extremely important that the material
of commerce associated with activity in Level 1
Environmental Assessment and studies in tox-
icological experiments be characterized chem-
ically. It is  possible that the material manu-
factured may not be identical to that found in
the environment. Special chemical synthesis
and toxicological evaluation may be required
under these circumstances.
  If one eliminated the  question  of carcino-
genesis then, almost without exception, the
results  of chronic studies could be predicted
from  the results of the  subchronic or 90-day
studies (ref. 1). The  question of carcinogenesis
could be predicted  on the basis of the Ames
Test, mouse lymphoma, or malignant transfor-
mation studies with a correlation factor above
90 percent. The textile manufacturer, but not
the regulatory agency, can be well assured on
the basis of these two studies that the material
is or is not a problem without conducting the
chronic  study. With further research it may
eventually be  possible  to improve the correla-
tion of predictive  short-term studies so that
regulatory agencies will be able to accept this
philosophy and reduce time and costs as well.

REFERENCES

1.  M. A. Mehlman, R. Shapiro, and H. Blumen-
    thal, Advances in Modern Toxicology - New
    Concepts in Safety Evaluation, Vol. 1, Part
    1, Chapter 4,  Hemisphere  Publ. Corp.,
    Washington, DC, 1976.
                                            250

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            ASSESSMENT OF TEXTILE WASTE TOXICITY WITH
                                MARINE BIO ASS AYS*

                            Gerald E. Walsh, Lowell H. Bahnert
Abstract
  Marine bioassays were conducted with tex-
tile wastes on an alga (Skeletonema costatum),
the grass shrimp (Palaemonetes pugio), and the
sheepshead minnow (Cyprinodon variegatus).
Effects measured  were inhibition or stimula-
tion of algal growth and death of animals after
96-h exposure.
  All wastes affected growth of S. costatum,
whereas only five were acutely  toxic to  the
animals. Grass  shrimp were more sensitive
than juvenile sheepshead minnows: the range
of the LC50 was 12.8 to 34.5 percent waste for
the shrimp compared to 37.5 to 69.5percent for
the minnow. Four wastes stimulated growth of
algae (SC20 = 0.50 to 2.25 percent); four in-
hibited growth (EC50 = 1.5 to 84 percent); six
were  both  stimulatory at low  concentrations
(SC20 = 1.5 to 21.75percent) and inhibitory at
high concentrations (EC50 = 50 to 93 percent).
The SC20, a term introduced here, is the calcu-
lated concentration of waste that would stim-
ulate growth by 20percent above the control.
  Algae must be  considered very useful for
assessment of possible effects of textile wastes
on aquatic systems because they responded to
all wastes tested.
  It is  suggested  that bioassays be used  to
assess the potential impact of whole waste on
aquatic systems; and after chemical analysis of
the waste,  bioassays be performed on compo-
nents that may be bioactive. If the whole waste
or any of its components has an effect, then
that waste must be considered for application
of treatment technology.

INTRODUCTION

  Population growth and the rate of industrial
development along coastlines  in  the  United
  'Contribution No. 376 from the Environmental Research
  Laboratory, Gulf Breeze, FL.
  TU.S. Environmental Protection Agency, Environment-
  al Research Laboratory, Gulf Breeze, FL.
States have been accelerating within recent
years, and acceleration is expected to continue
in the forseeable future. In 1972 the U.S. De-
partment of Commerce (ref. 1) predicted that
the total human population density around 39
cities on the Atlantic, Pacific, and Gulf Coasts,
and in Hawaii would double between the years
1975 and 2020 (Figure 1). Concomitantly, total
manufacturing around and in those cities was
predicted to rise approximately 5.5 times and
textile products, approximately 4.5 times.
  The  possible ecological impact  of such
growth upon estuarine and marine ecosystems
is great because industrial plants often emit
large volumes of effluents that contain bioac-
tive  organic and inorganic substances. Also,
because the population of coastal areas will in-
crease, the volume  of sewage and municipal
wastes discharged will increase, thus placing a
double pollution burden upon estuarine and
marine ecosystems.
  Since estuaries are important commercial,
recreational, and aesthetic resources,  it is im-
portant to know effects of wastes upon them
and  to apply the proper treatment systems.
This paper discusses use of bioassays to evalu-
ate potential impacts of textile industry wastes
on estuarine biota. The tests were designed to
screen many wastes in a short period of time
and to rank their toxicities according to effects
on algae, shrimp, and  fish. More sophisticated
bioassays are required under stringently con-
trolled conditions and  with statistical analyses
to define toxicity more  precisely. Such tests
will be done in IERL-RTP Level 2 bioassays.
  The simplest, most  direct, and inexpensive
method for testing  effects  of complex indus-
trial  wastes  upon  estuarine  organisms  is
through exposure to waste in static tests. In
the work reported here, three species repre-
sentative of three major classes of estuarine
organisms were used:
   1.  Skeletonema  costatum, a chain-forming
      diatom that occurs in inshore and open-
      ocean waters, is an algal species that has
      been sensitive to a variety of pollutants
      in our laboratory;
                                             251

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                   2.00 r
                    1.00
                            1975
1985
     2000    2010
YEAR
2020
                   Figure 1. Projected population growth in 39 coastal cities,
                            with 1975 as the base year.

                   Source:  U.S. Department of Commerce (1972).
  2.  Palaemonetes pugio, the grass shrimp, is
     an arthropod that occupies a broad geo-
     graphical range along the Atlantic and
     Gulf Coasts and is  easy to maintain in
     the laboratory; and
  3.  Juveniles of Cyprinodon variegatus, the
     sheepshead minnow, were used because
     juvenile fish are often more sensitive to
     pollutants  than adults  and because  C.
     variegatus is  common on the Atlantic
     and Gulf coasts.
  Since industrial wastes often contain mate-
rials that are toxic  to algae and animals, and
nutrients that stimulate algal growth, labora-
tory results must be interpreted in relation to
death of animals, inhibition of algal growth,
and stimulation of algal growth with the possi-
ble establishment of eutrophic conditions. A
waste that has any of these effects  in labora-
tory tests may affect an  estuarine ecosystem
by changing relative numbers and kinds of
species, creating an assemblage of organisms
that  reduces its resource  value.
              In this paper, we identify and rank those tex-
            tile plant wastes that would be likely to cause
            undesirable changes in estuarine ecosystems.

            METHODS

              Grab samples of  wastes were  distributed
            under ice in glass  containers by an IERL-RTP
            contractor who also assigned  code letters.
            Each species was tested with 14 wastes. Skele-
            tonema costatum was tested with Wastes B, C,
            F, G, K, L, N, P, S, T, U, V, W, and X; P. pugio
            and C. variegatus  were tested with A, B, C, E,
            F, G, K, L, N, S,  T, U, W, and X. Details of
            methods used are described in the U.S. Envi-
            ronmental  Protection  Agency  publication,
            IERL-RTP Procedures  Manual: Level 1 (ref.
            2). A  general overview of the methods is given
            here.

            Algae

              Stocks of S. costatum were maintained in an
                                            252

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                             TABLE 1. COMPOSITION OF MIXES ADDED TO
                                     ALGAL GROWTH MEDIA
                                   Nutrient mixes
                      * Add 15.0 ml/I to test solution.
                      § Add 0.50 ml/1 to test solution.
                      1 Add 1.0 ml/1 to test solution.
    Amount/liter
Metal mix*
FeCI2x6H20
MnCI2x4H20
ZnS04x7H20
CuS04x5H20
CoCl2x6H20
H3B03
Deionized water
Vitamin mix§
Thiamin hydrochloride
Biotin
B12
Deionized water
Minor salt mix'
K3P04
NaN03
Na2Si03x9H20
Deionized water

0.480 g
0.144 g
0.045 g
0.1 57 nig
0.404 mg
0.140 g
1 liter

50 mg
0.01 mg
O.IOmg
100ml

3.0 g
50.0 g
20.0 g
1 liter
artificial seawater medium (Rila® Salts*) of 30
parts per th
-------
burgh, PA). The absorbanee values of uninocu-
lated blank tubes were subtracted from those
of the inoculated tubes to give the absorbanee
due to algae. Optical density is closely related
to biomass   (Walsh,  unpublished), and this
method was  used  for both range-finding and
definitive tests.
  Stimulation or inhibition of algal growth was
calculated by plotting the nonlinear regression
of absorbanee on  waste  concentration by an
equation developed for these studies:
          1 + B (X-C)   1 + D (X-E)
where

  A  =
  B  =
  C  =

  D  =
  E  =

  X  =
  Y  =
       mean maximum biomass
       increasing slope
       effluent  concentration  (increasing
       slope) where Y = 0.5 x A
       decreasing slope
       effluent  concentration (decreasing
       slope) where Y = 0.5 x A
       range of effluent concentrations tested
       estimated  population  density  over
       range of X.
  Calculations were made on a Digital Equip-
ment Corporation PDF 11/45 computer. The
concentration of waste that stimulated growth
by 20 percent (SC20) or inhibited growth by 50
percent (EC50) in relation to control cultures
was calculated from the regression curve.

Shrimp and Fish

  Palaemonetes  pugio  and  C.  variegatus
juveniles were collected from the field and held
in flowing water for at least 2 days while being
acclimated to a salinity of 10 ppt. Each test was
performed in 3 liters of test solution in 4-liter
glass jars. Five animals  were tested per jar
and all exposures were  done in duplicate in
definitive tests. The jars were not aerated, but
oxygen content was measured each day by the
Winkler method. Temperature was 20 ± 1.0°C.
  Salinity of the effluents was increased by 10
ppt by addition of Rila® Salts. Control and dilu-
tion water were prepared from Rila® Salts and
glass-distilled water.
  Each effluent was subjected to a 48-h range-
finding test. If no deaths occurred in undiluted
waste, the exposure was continued to 96 hours.
If mortality was equal to or less than 50 per-
cent after 96 hours, no further tests were done.
If mortality was greater than 50 percent, 96-h
definitive tests were done.
   Concentrations of wastes that would kill 50
percent of the animals in 96 hours (LC50) were
calculated by straight-line graphical interpola-
tion. Points representing the number of deaths
in concentrations lethal to more than one-half
and less than  one*half of the animals exposed
were plotted  on semilogarithmic  coordinate
paper. The concentration at which a straight
line drawn between two points crossed the 50
percent mortality line was the estimated LC50.

RESULTS

Algae

  Skeletonema  costatum   was  a  valuable
organism for detection  of possible  impacts of
textile industry wastes  on natural waters. All
of the 14 wastes tested affected growth; 4 were
inhibitory only, 4 were stimulatory only, but 6
were stimulatory at low concentrations and in-
hibitory at high concentrations (Table 2).
  The patterns of growth response  in relation
to waste concentrations are given in Figures 2
to 16. Wastes B, S, U, and X were stimulatory
only; Wastes F, L, N, and P were inhibitory on-
ly; and Wastes C, G, K, T, V, and W were both
stimulatory and  inhibitory. When  inhibition
and stimulation occurred, the SC20 was much
lower than the EC50.
Shrimp

   Only 5 of the 14 textile effluents caused
greater than 50 percent mortality of P. pugio
in concentrations up to 100 percent (Table 2).
The most toxic was Waste C (LC50 =  12.8 per-
cent), followed by Wastes W (19.6 percent), A
(21.2 percent), N (26.3 percent), and T (34.5 per-
cent). Three effluents caused mortality of less
than 50  percent and no LC50  could be calcu-
lated. The six remaining wastes (B,  F, K, L, U,
and  X) caused no deaths when grass shrimp
were exposed to 100 percent  effluent for 96
hours.
   The percentage of oxygen saturation of the
test solutions  was never lower  than 40. There-
fore, deaths were due directly to the wastes
and  not to oxygen  deficiency. There was no
mortality in the controls.
                                             254

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                            TABLE 2. COMPARISON OF RESPONSE OF
                     SKELETONEMA COSTATUM. PALAEMONETESPUGIO. AND
, CYPRINODON VARIEGATUS TO TEXTILE WASTES
S. costatum
Waste
C
N
T
W
A
B
F
G
K
L
S
U
V
X
E
P
SC20
1.50
NE
2.00
1.50
—
0.50
NE
2.75
1.00
NE
2.25
1.50
21.75
0.50
—
NE
EC50
76
2.0
66
50
—
NE
84
59
75
1.5
NE
NE
93
NE
-
9.0
P. pugio
LC50
12.8
26.3
34.5
19.6
21.2
NE
NE
*
NE
NE
#
NE
NE
NE
t
—
C. variegatus
LC50
69.5
47.5
68.0
37.5
62.0
NE
NE
t
NE
*
*
NE
NE
NE

—
                    *20 percent mortality in 100 percent waste
                    "Uo percent motality in 100 percent waste
                    *50 percent mortality in 100 percent waste
                    § 10 percent mortality in 100 percent waste
                    Notes: SC20 = percentage waste at which growth was stimulated by
                                20 percent;
                          EC50 = percentage waste at which growth was inhibited by
                                50 percent;
                          LC50 = percentage waste lethal to 50 percent of the animals;
                            NE = no effect.
Fish

  Acute toxicities of the 14 textile effluents to
juvenile sheepshead  minnows  are shown in
Table 2. Only five wastes were toxic enough to
allow calculation of the  LC50  (Waste W, 37.5
percent; N, 47.5 percent;  A, 62.0 percent; T,
68.0 percent; and C, 69.5 percent). Mortalities
in Wastes E, G, L, and S were not great enough
to calculate LC50 values, and Wastes E, F, K,
U, and X had no effect on survival in 96 hours.
  As in the shrimp tests, percentage satura-
tion of oxygen in test solutions was  never
lower than 40, so deaths were not due to lack of
oxygen. There was no mortality in the controls.

DISCUSSION

  The alga S. costatum was the most sensitive
organism in these tests: all wastes affected
growth of the alga, whereas only five were
acutely toxic to P. pugio and C. variegatus.
Table 2 contrasts responses of the three orga-
nisms to the wastes. These results were unex-
pected, since animals are usually more suscep-
tible to single pollutants than algae,  and it
seems  that algae  are  better indicators of ef-
fects of some complex wastes than are animals.
Also, the stimulatory effects of some wastes on
algae indicate that industrial wastes may have
a greater effect in bringing about eutrophica-
tion than previously realized.
  Palaemonetes pugio was more sensitive to
the wastes than C. variegatus, but neither was
of value for ranking of all wastes because tox-
icity was detected in only five  effluents. As
shown in Table 3 the two species also respond-
ed differently.
                                              255

-------
   8
   7
   6
   5
   4
u  3
i2
10
r-
o>
hi
3  9
>  6
Q
H  7
I  6
^  5
   4
   3
   2
 RW>ER AND ALUEO PRODUCTS
       1985     2OOO
            YEAR
 TOTAL  MANUFACTURING
                 2010   2020
1975
1985
2000   2010    2020
                         9
                         8
                         7
                         6
                         si
                         4
                         3
                         2
                         I

                         9-
                         8
                         7
                         6
                         5
                         4
                         3
                         2
                                       TEXTILE MLL  PRODUCTS
1975    1985       2OOO   2010
            YEAR
                                       CHEMICAL AND ALLIED
                                             PRODUCTS
2020
             YEAR
1975   1985       2000   2OJO
             YEAR
2020
    Figure 2. Projected industrial growth in 39 coastal cities, with 1975 as the base year.
    Source:  U.S. Department of Commerce (1972).
                                    256

-------
           20         40         60
             PER  CENT  EFFLUENT
80
100
Figure 3. Effects of Textile B effluent on growth of Skeletonema costatum.
                           257

-------
.300
.250
                 PER  CENT  EFFLUENT
       Figure 4. Effects of Textile C effluent on growth of Skeletonema costatum.
                                 258

-------
   .300
   .250
z  .200
UJ
O

   .I50
    .100
   .050
                20        40        60
                  PER  CENT EFFLUENT
80
100
      Figure 5. Effects of Textile F effluent on growth of Skeletonema costatum.
                               259

-------
          20           40           60
            PER  CENT EFFLUENT
80
160-
Figure 6. Effects of Textile G effluent on growth of Skeletonema costatum.
                           260

-------
          20          40         60
           PER   CENT  EFFLUENT
80
Figure 7. Effects of Textile K effluent on growth of Skeletonema costatum.
                           261

-------
             PER   CENT   EFFLUENT
                                              8
10
Figure 8. Effects of Textile L effluent on growth of Skeletonema costatum.
                           262

-------
  .300
  .250
>
£.200
                  2           4            6
                   PER CENT EFFLUENT
8
10
         Figure 9. Effects of Textile N effluent on growth of Skeietonema costatum.
                                   263

-------
            246
               PER  CENT EFFLUENT
8
10
Figure 10.  Effects of Textile P effluent on growth of Skeletonema costatum.
                            264

-------
          20           40           60
            PER CENT EFFLUENT
80
100
Figure 11. Effects of Textile S effluent on growth of Skeletonema costatum.
                            265

-------
            PER  CENT  EFFLUENT
Figure 12. Effects of Textile T effluent on growth of Sketonema costatum.
                         266  _

-------
.300
              20         40         60
                 PER  CENT  EFFLUENT
80
100
   Figure 13. Effects of Textile U effluent on growth of Skeletonema costatum.
                             267

-------
           PER CENT  EFFLUENT
Figure 14. Effects of Textile V effluent on growth of Skeletonema costatum.
                            268

-------
            20         40         60
             PER  CENT EFFLUENT
80
100
Figure 15. Effects of Textile W effluent on growth of Skeletonema costatum.
                          269

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.300
              20        40        60
                PER   CENT  EFFLUENT
    Figure 16. Effects of Textile X effluent on growth of Sketetonema costatum.
                            270

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 TABLE 3. RELATIVE TOXICITY OF FIVE TEXTILE
    WASTES TO P. PUGIO AND C. VARIEGATUS

Degree of
toxicity
Most toxic



Least toxic

P. pugio
C
W
A
N
T
Waste
C. variegatus
W
N
A
T
C
  As the table reflects, Waste T was least tox-
ic to P. pugio, with the LC50 of 34.5 percent.
Waste W was most toxic to C. variegatus, but
its LC50  was 37.5 percent (Table 2). Therefore,
for animals, ranking of wastes is according to
toxicity to P. pugio.
  In contrast to the animal data, all wastes can
be ranked according to degree of effect in the
algal test~   although  the  ranking by stimula-
tion is di Cerent from that by inhibition (see
Table 4).
      TABLE 4. RELATIVE RESPONSES OF
     S. COSTATUM TO 14 TEXTILE WASTES

Degree of
effect
Greatest effect









Least effect
Waste
Stimulation
B,X
K
C.U.W
T
S
G
V
F,L,N,P




Inhibition
L
N
P
W
G
T
K
C
F
V
B,S,X,U
  As shown in Table 4, there is a rough inverse
correlation between stimulation and inhibition,
although Waste W ranks high on both lists. In
general, wastes that were highly stimulatory
were not highly inhibitory, and those that were
highly inhibito* .' were not highly stimulatory.
It may  be inierred from the data that the
response of algae to wastes that caused stimu-
lation at low concentrations and inhibition at
high  concentrations  is  related to  relative
amounts of nutrients  and toxicants. If true,
high concentrations of either may mask effects
of the other in some wastes and the potential
impact of  those wastes on aquatic  systems
could  not  be evaluated by simple  bioassays.
Also, responses of organisms in our bioassays
could be the result of synergistic, additive, and
antagonistic interactions between components
of the complex wastes.
  Results of bioassays were analyzed in rela-
tion to chemical composition of each waste
reported by EPA (1978) (ref. 3). Neither stimu-
lation nor  toxicity  could be related to color,
BOD,  COD, or  to  concentrations of sulfide,
phenol, suspended solids, cyanide, organic car-
bon, total organics  extracted with methylene
chloride, metals,  ammonia,  nitrite,  nitrate,
Kjeldahl nitrogen,  ortho-phosphate, or total
phosphorus.
  It is not surprising that chemical analyses
did not indicate toxicity of wastes. For exam-
ple, we have found (unpublished data) that the
EG50 of nickel and aluminum to several algae
is approximately 2  parts per million (ppm) in
the absence of a chelator. In the presence of
each other, or of an organic material such  as
the pesticide 2,4-D, toxicities  of the metals
were reduced. Waste X contained 7 ppm nickel
and 640 ppm aluminum in suspended solids and
0.006  ppm nickel and 8.2 ppm aluminum in fil-
tered effluent—enough to inhibit growth com-
pletely. It also contained 45 other metals and
diethyl phthalate; bis (2-ethylhexyl) phthalate;
hexachlorobenzene;  1,1,1-trichloroethane;
toluene; ethylbenzene;  1,1,2,2-tetrachloroethy-
lene; and phenol. In spite of this large number
of metals and organic compounds, Waste X did
not inhibit  algal  growth or kill animals. It did,
however, stimulate algal growth.
  Our toxic waste data suggest that effects of
a complex  effluent  are the result of interac-
tions  among toxicants and between toxicants
and growth stimulators. Potential impact of a
complex waste on aquatic systems may or may
not be predicted from  either chemical or bio-
logical tests alone.  It must be assumed that,
after a waste is dumped into a receiving body,
the individual components separate spatially
and the total impact may be greater than that
indicated by laboratory bioassay.
                                              271

-------
  We suggest that the potential impact of com-
plex industrial wastes be assessed in two ways:
(1) bioassays should be used to assess the po-
tential impact of the whole  waste on aquatic
systems; and (2) after chemical analysis of each
waste, bioassays should be performed on com-
ponents that may be bioactive. If the whole
waste or any of its components has an effect,
then that waste must be considered for applica-
tion of treatment technology.
  Wastes reported here that stimulated algae
at low concentrations (B, C, G, K, S, T, U, V, W,
and X), were toxic to algae  at low concentra-
tions  (L, P, and N) or were toxic to animals
would be ranked high on the list of those that
require treatment. Wastes C and W were stim-
ulatory to algae and toxic to animals. The com-
bination of  algal, shrimp, and fish bioassays in-
dicate that  all wastes, with the possible excep-
tion of E, require treatment. However, even
Waste E caused 40 percent of the shrimp to die
and is suspect.

CONCLUSIONS

1.  Algae were more sensitive indicators of po-
    tential  environmental effects of textile
    wastes  than were shrimp or fish.
2.  Algal response to each waste was either (a)
    inhibition  of growth,  (b)  stimulation of
    growth, or (c) stimulation at low concentra-
    tions and inhibition at high concentrations.
    Fish and  shrimp  were killed by some
    wastes.
3.  Potential  impacts of the wastes on aquatic
    systems were death of animals, inhibition
    of algal growth,  and stimulation  of algal
    growth, which can lead to establishment of
    eutrophic conditions.
4.  It is suggested that, after complex wastes
    enter receiving waters,  their constituents
    may be separated spatially, so  that effects
    of individual substances may occur at sites
    removed from the source.
5.  All wastes tested were bioactive toward
    algae. Since bioactivity of the complex mix-
    tures could not be related to chemical com-
    position, we suggest: (a) bioassays should
    be used to assess the potential impact of
    the whole waste on aquatic systems, and (b)
    after chemical analysis, bioassays should
    be performed on components that may be
    bioactive to aid in application of treatment
    technology.
ACKNOWLEDGMENTS
  We  thank Sharon Edmisten and  Shelley
Alexander for their technical assistance. Bio-
assays on P. pugio and C. variegatus were done
at the EG&G Bionomics Marine Laboratory,
Pensacola,  Florida,  under  EPA  Contract
68-02-1874.

REFERENCES

1.  U.S. Department of Commerce, Population
    and  Economic  Activity in the  United
    States and Standard Metropolitan Statisti-
    cal Areas, Historical and Projected, 1950-
    2020,  Bureau  of Economic  Analysis,
    Washington, DC., PB-216607,  distributed
    by National Technical Information Service,
    Springfield, VA, 544 pp., 19"fc.
2.  U.S.  Environmental Protect n  Agency,
    IERL-RTP  Procedures Manual Level 1,
    "Environmental  Assessment  Biological
    Tests for Pilot  Studies,"  Industrial  En-
    vironmental  Research   Laboratory,
    Research Triangle Park, NC, EPA-600/7-
    77-043,106 pp., 1977.
3.  U.S.  Environmental Protection  Agency,
    "Source Assessment: Textile Plant Waste-
    water Toxics Study,"  Phase I, Industrial
    Environmental  Research  Laboratory,
    Research Triangle Park, NC, 1978.
                                            272

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                FRESHWATER TOXICITY  TESTS RELATED TO
                              THE TEXTILE INDUSTRY
                      William B. Horning, IP, Timothy W. Neiheiselt
Abstract
  Freshwater toxicity tests were conducted on
samples  of secondary treated wastewaters
from 23 textile mills as part of a joint U.S. En-
vironmental Protection  Agency (EPA) and
American  Textile  Manufacturers   Institute
(ATMI) study of the textile industry. The pri-
mary tests were (1) 96-A static acute toxicity
tests  with fathead minnows,  (2) 48-h  static
acute toxicity tests with Daphnia pulex and (3)
the algal assay test. These tests were among a
series of ecological screening tests for potential
aquatic toxicity. The  sublethal gill-purge rate
(GPR) test with bluegill sunfish was conducted
as a supplemental  test on  four of the textile-
mill effluent samples.
  Thirteen of the  textile  samples  indicated
acute toxicity. Seven samples were acutely tox-
ic to both fathead minnows and Daphnia pulex.
One was acutely toxic to fathead minnows on-
ly, and five were acutely toxic only to Daphnia
pulex. Ninety-six-hour LCgQ  values ranged
from 19.0 to 64.7 percent effluent for fathead
minnows. Forty-eight-hour EC$o values ranged
from 0percent survival in all dilutions to 81.7
percent effluent for Daphnia pulex. In all cases,
most of the toxicity  was exerted within the
first 24 hours.  Extending  the  length of test
periods beyond 24  hours did not appreciably
alter LC50 or EC^ values.
  The textile effluents were given two separate
relative rankings for  each  of the two species
tested. One  was based on toxicity and consi-
dered only the fathead minnow LCgQ and the
Daphnia pulex 48-h ECgo values. The other in-
cluded both toxicity and the waste discharge
volume, which were used to  calculate a daily
toxicity discharge  expressed  as million lethal
units/day (MLU/d).  The order in the two rank-
  *Chief, Newtown Fish Toxicology Station, U.S. EPA,
   Cincinatti, OH.
  tResearch Aquatic Biologist, Newtown Fish Toxicology
   Station, U.S. EPA, Cincinatti, OH.
 ing schemes was different. Several samples, in-
dicating relatively  high acute toxicity (low
I/C50 values), are shown on a million lethal
units/day basis to  be of less  potential envi-
ronmental hazard than some other samples ex-
hibiting relatively low acute toxicity.
  In  the algal  assay   test,  textile  effluent
samples that were acutely toxic to fathead min-
nows,  Daphnia pulex,  or both,  either stim-
ulated or inhibited algal cultures in 20 percent
dilution or less. Six  were inhibitory and seven
were  stimulatory. Of the four samples eval-
uated with the GPR test, only one elicited a
response.

 INTRODUCTION

  In 1971, the U.S.  Environmental Protection
Agency published a state-of-the-art document
for waste treatment in the textile industry (ref.
1). Also a development document, the Develop-
ment Document for Effluent Limitations Guide-
lines and New Source Performance Standards
for the Textile Mills was published by the U.S.
Environmental Protection Agency in 1974 (ref.
2). Neither document addresses  the issue  of
textile waste toxicity.  Both discuss various
waste treatment systems and  their  appli-
cability to the textile industry. The develop-
ment document  speaks  in  terms of effluent
quality that can be  attained by applying best
practical control technology currently avail-
able (BPCTCA). The guidelines were based on
this premise, and treatment to meet them was
to be achieved by July 1, 1977. Treatment to
achieve best available technology economically
achievable  (BATEA) by July 1, 1983, was
recommended. However, all of the technologies
considered are  concerned primarily with re-
ducing the BOD5, COD, total suspended solids,
oil  and  grease,  color,  chromium,  sulfide,
phenols, fetil  coliforms,  pH, acidity, and
alkalinity being  discharged  into navigable
waters.  No attempt was  made  to  develop
guidelines to  include limitations based on the
toxicity of textile wastes.
                                           .  273

-------
   The  U.S.  Environmental  Protection
Agency's Industrial Environmental Research
Laboratory at Research Triangle Park, North
Carolina, (IERL-RTP) became involved  in a
joint study with the American Textile Manu-
facturers Institute (ATMI) (EPA Grant No.
804329) to determine BATEA  for textile plant
wastewaters.  This study focused on  only a
limited number of pollutants, i.e., BOD5, COD,
color, sulfides, total suspended solids,  phenol,
and pH. Twenty-three textile mills having well-
operated secondary  wastewater treatment
facilities and representing eight  textile-
processing  categories were selected for the
study.
   A consent decree (resulting from National
Resources Defense Council et al. versus Train)
was issued by the U.S. District Court of Wash-
ington, D.C., on June 7,  1976. The decree  re-
quired  EPA to enhance  development of  ef-
fluent standards and focused Federal water
pollution control efforts on potentially toxic
and hazardous pollutants. As a response EPA
developed a list of 129  specific compounds
(priority pollutants) to be considered  during
the standards-setting process. EPA decided to
conduct a parallel study to the ATMI/EPA
grant study,  in which the objective  was to
determine both the removal efficiencies for the
129 consent decree priority pollutants and the
reduction in toxicity by six tertiary treatment
technologies being  investigated  under  the
original grant study.
   Phase I of the  overall textile wastewater
study was designed to establish baseline data
for toxicity and the level of priority pollutants
present in raw wastewater and secondary ef-
fluents at the 23 textile  plants (ret. 3). These
data were used to screen the 23 plants and to
select those plants with toxic effluents  for fur-
ther study. It is important to note that the tox-
icity tests were designed only to evaluate the
reduction in wastewater toxicity by  control
technologies, and not to evaluate potential en-
vironmental impact of these wastes on receiv-
ing waters.
   This paper presents a  discussion of  results
from  static  acute toxicity tests  with  fathead
minnows  and Daphnia pulex and  the algal
assay bottle tests. These tests were among a
battery of ecological and health effects screen-
ing tests that were used to evaluate toxieity of
the textile  wastewaters. The sublethal  gill
 purge rate (GPR) test with bluegill sunfish was
 also performed on several samples at the New-
 town Fish  Toxicology Station as  a  supple-
 mentary test and part of our own research pro-
 gram on complex effluents.
   In order to evaluate the  potential environ-
 mental hazard  of textile  plant  wastewater
 discharges, the acute toxicity data were com-
 bined with the  effluent discharge volume to
 provide a daily toxicity discharge rate labelled
 million lethal units per day. This rate allows a
 comparison of the relative importance of both
 toxicity and volume of discharge.

 METHODS

   Eight individual grab samples of secondary
 effluent were collected at equally spaced time
 intervals  during the  normal working day at
 each textile mill. Average hydraulic retention
 time in  the various  wastewater  treatment
 plants ranged from 1 to 30 days, with an aver-
 age  of 5 days.  Equal portions  of each of the
 eight grab samples were combined to make one
 composite sample for chemical and  biological
 analyses. Chemical analyses  included the crite-
 ria pollutants and the 129 priority pollutants.
 Aliquots of the composite samples were iced
 and  shipped air freight to the Newtown Fish
 Toxicology Station, Cincinnati, Ohio, and to the
 EPA Environmental  Research  Laboratory,
 Corvallis, Oregon.
   Ninety-six- and forty-eight-h static acute
 toxicity tests were  conducted  with fathead
 minnows and Daphnia pulex, respectively, at
 the Newtown Fish Toxicology Station. These
 tests were performed according to the pro-
 tocols described by Duke (ref. 4). The Algal
 Assay Bottle Test, using Selenastrum capricor-
 nutum Prints as the  test organism, was per-
 formed at the Environmental Research Labo-
 ratory, Corvallis, Oregon according to proce-
 dures essentially described by Duke.
   Seven effluent concentrations, ranging from
 100 to 7.8 percent, and a control were used in
the  static acute  toxicity  tests. Probit  or
moving-average-angle  statistical  procedures
were used to calculate  estimated LCso and
ECso values  from the static acute toxicity
tests. For comparative purposes in this presen-
tation, the acute  96-h LCg, and 48-h ECso
values were quantified  to a  daily toxicity
discharge expressed as million lethal units per
                                            274

-------
day. Quantification can be achieved by defining
lethal units per gallon (LU/g) as follows:
  LU/g
                        100%
               LC50 or ECso (in percent)
then,
   LU/g x  effluent flow (mgd)  = MLU/d.

  Thus, the toxicity data are  quantified into
units comparable to  pounds  of BOD5. The
analogy between BOD5 and toxicity control is
essentially identical because in  each  case an
organism's response is used to measure the
combined effects from unknown materials in
unknown quantities.
   The algal growth response was measured as
net  biomass produced. The response  was ex-
pressed as percent stimulation or inhibition at
the  20 percent wastewater concentration,  as
compared to growth in a control sample.
   The gill  purge rate test was done with only
four of the textile-mill effluents used in the
static acut'- toxicity tests. The gill purge rate
is determined by placing individual fish in a
chamber having a stainless steel electrode at
each end. The bioelectric potential associated
with breathing (ventilation) movement is elec-
tronically recorded, and strip chart recordings
are visually counted for gill purges. The gill
purges show up as a higher than usual spike in
the normal breathing record or as a spike with
a double peak.
  The equipment and procedures used in the
present study were similar to those described
by  Carlson and Drummond (ref. 5) with the
following exceptions. The test concentrations
were  75, 25, 8.3, 2.7, and 0.9 percent effluent
plus a control. Four fish were exposed in 4
liters of solution at each concentration and con-
trol water. Gill purge rates  of each fish were
determined for five 10-min periods over a 12- to
24-h preexposure period. Gill purge rates were
determined in the same manner between 12
and 24 hours after initial exposure and again
between 36 and 48 hours. Dunnett's 1-sided
t-test was used  to  determine a  significant
change in gill purge rate at the 0.05 probability
level (ref. 6).

RESULTS AND DISCUSSION

  The acute effects  of the  23 textile plants
                TABLE 1. TEXTILE PLANT WASTEWATERS: STATIC ACUTE TESTS INDICATING
                            TOXICITY AND THE ALGAL ASSAY BOTTLE TEST
Fathead minnow
Effluent
sample
A
C
E
F*
G
L*
M
N
T*
U
V
W
z
96-hr LC50
% effluent
19.0
46.5
NAT
NAT
64.7
23.5
NAT
48.8
46.5
NAT
36.0
55.2
NAT
MLU/d
1.1
2.2
_
_
3.2
3.2
	
2.1
1.3
_
2.2
0.5
-
Daphnia
48-h EC50
% effluent
9.0
41.0
7.8
81.7
62.4
28.0
60.0
<7.8t
NAT
12.1
9.4
6.3
42.6
pulex
MLU/d
2.2
2.4
25.6
2.4
3.2
2.7
15.3
-
—
2.5
8.5
4.0
4.6
Algal assay bottle test
Inhibition/
stimulation
I
S
I
S
S
1
S
1
S
S
S
i
1
% effluent
20
20
20
20
20
10
20
20
on
20
Aft
20
nn
20
1 n
10
on
20
  * gill purge test samples.
  t100 percent dead in all test dilutions.

  Note: NAT = no at ite toxicity; I = inhibition; S = stimulation.
                                              275

-------
wastewaters are summarized and discussed in
the EPA publication, Source Assessment: Tex-
tile Plant Wastewater Toxics Study, Phase I
(ref. 3). Briefly, the data indicate that 8 textile
effluents were acutely toxic to the fathead min-
now and  12 were acutely toxic to Daphnia
pulex (Table 1). Effluent from one plant (T) was
acutely toxic to the fathead minnow and not to
Daphnia  pulex.  Effluent from  five textile
plants was acutely toxic to Daphnia pulex and
not to the fathead  minnow. In five of the seven
cases where the  wastes  were toxic to both
species, the sensitivity of the  two tests was
essentially the same.
  Direct comparison of the algal  assay bottle-
test data with the  animal-test data is not possi-
ble because the highest dilution tested with
algae was only 20  percent. However, as shown
in Table 1,  the 13 samples that were acutely
toxic to the  fathead minnow, Daphnia pulex, or
both,  either  inhibited or  stimulated  algal
growth at 20 percent dilution  or less. Six of
these wastes were inhibitory, and seven were
stimulatory. Additionally, algal  growth was
stimulated by the nine samples  that did not
acutely affect  fathead minnows  or Daphnia
pulex. Thus, a battery of tests, using different
organisms, better represents the effects of a
waste on  aquatic organisms than  a single
species test.
  Closer examination of  the data suggests
several significant aspects  frequently  over-
looked when interpreting  results from acute
toxicity tests. In all cases where the textile ef-
fluents were acutely toxic,  most of the toxicity
was exerted within the first 24 hours (Table 2).
Extending the  length  of the test  periods
beyond 24 hours did not significantly affect the
LC5Q  or ECso values. Eleven previous onsite
studies, representing eight different industrial
categories, have  shown  similar results  with
well-designed and -operated industrial waste-
water treatment systems (Table 3). Thus, there
are good indications that  24-h acute toxicity
tests  are  sufficient for initial screening pur-
poses.
  The textile effluent samples can be ranked
on a relative basis from most toxic to least tox-
ic based  on  fathead  minnow LC50  and/or
Daphnia pulex EC50 values (Table 4). However,
this ranking system does  not necessarily* in-
dicate the relative potential hazard of the in-
dividual effluents to the  aquatic environment.
When the effluents are ranked, based on mil-
               TABLE 2. TEXTILE PLANT WASTEWATERS: ACUTE TOXICITY TIME COMPARISON
Effluent
sample
A
C
E
F
G
L
M
N
T
U
V
w

z

24-h LC5Q
% effluent
24.6
46.5
NAT
NAT
68.2
37.5
NAT
55.2
63.1
NAT
39.1
68.2

NAT
Fathead minnow
48-h LC50
% effluent
19.0
46.5
NAT
NAT
68.2
32.5
NAT
48.5
46.5
NAT
37.5
66.4

NAT
Daphnia pulex
96-h LC50
% effluent
19.0
46.5
NAT
NAT
64.7
23.5
NAT
48.8
46.5
NAT
36.0
55.2

NAT
24-h EC50
% effluent
15.0
41.0
12.6
91.8
64.4
36.0
60
<7.8*
NAT
20.5
11.5
could not
calculate
63.4
48-h EC50
% effluent
9.0
41.0
7.8
81.7
62.4
28.0
60
<7.8*
NAT
12.1
9.4
6.3

42.6
 *100 percent dead in all test dilutions.

 Note: NAT = no acute toxicity.
                                             276

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                   TABLE 3. INDUSTRIAL PLANT WASTEWATER: INCREASES IN TOXICITY
                      TO FISH BETWEEN 24 AND 96 HOURS IN STATIC ACUTE TESTS
                         OF TREATED EFFLUENT FROM 11 INDUSTRIAL PLANTS
Effluent source
!!• II •lll»..» 	 • 	 ^.l.» 	 •!! !•!•• •!- 	 	
Rubber-rainwear
plant
Oil refinery
Metal-plating
company A
Metal-plating
company B
Paper company A
Paper company B
Glass works
Aluminum company B
Carpet mill
Organic chemical
plant A
Organic chemical
plant B
Number of
samples tested
	 — 	 • 	 • — • 	 i
, 4
10
18
9
2
2
2
4
6
3
5
Number of samples
showing toxicity
24-h 96-h
" 	 ii
4
1
3
6
2
0
0
0
2
3
0
4
3
3
6
2
2
0
0
4
3
2
Number of
samples showing
increased toxicity
* " - - !•
4
3
2
0
0
2
0
0
3
3
2
Number of samples
statistically showing
a significant increase
-" - • 	 i in
0
2
1
0
0
0
0
0
0
2
0
lion lethal units/day (total amount of toxicity
discharged), the relative order is significantly
altered (Table 4). For example, effluent A is
shown to  be one  of the  most  acutely  toxic
(LCso = 19.0 percent)  to  fathead  minnows,
based on LC^ values, but is less of a potential
threat to the environment on a million lethal
units/day basis. The opposite situation occurs
with effluent G (LC50 =  64.7 percent). (The dif-
ferences between the two ranking systems are
more striking with Daphnia pulex.)
  The lethal-unit concept considers the units of
toxicity as being analagous to BOD50. This pro-
vides a means for evaluating the capabilities of
a wastewater treatment  system to remove
total acute toxicity as is done in determining
BOD50 reductions. All that is required is deter-
mining toxicity  before  and after treatment,
quantifying the data into lethal units, and mak-
ing  a comparison.  Additionally, million lethal
units/day appears to be a realistic means of ex-
pressing the potential environmental impact
for  a specific  discharge  on  the  receiving
stream. To assess the acutal impact of a waste
in  a given situation, receiving-stream  flow
must be considered.
  The gill purge is considered to be part of the
normal  gill  cleaning reflex of  fish, in  which
water is forcefully and rapidly  flushed across
the gills in  the same direction as in normal
breathing or in the reverse direction. The gill
purge rate has been shown to increase when
fish are exposed to suspended solids, some
pure  chemicals, and  complex effluents.  The
response can be observed visually as well as by
recording cl anges in  bioelectric  potential
associated with breathing.
  Three of the four textile effluent samples (F,
T, K) did not elicit any significant increase in
the bluegill gill purge rate. In addition, sample
                                             277

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                  TABLE 4. TEXTILE PLANT EFFLUENTS: RELATIVE RANKINGS BASED ON
                   96-HOUR FATHEAD MINNOW LC50 VALUES, 48-HOUR DAPHNIA PULEX
                         EC5Q VALUES, AND MILLION LETHAL UNITS PER DAY
Fathead minnow

Most
toxic









Least
toxic
"50

A
L
V
C,T
N
W
G





MLU/d

G,L
C,V
N
T
A
W






Daphnia pulex
"50
W

E
A
V
U
L
C
Z
M
G
F

MLU/d

E
M
V
Z
W
G
L
U
C,F
A


K was not acutely toxic to either fathead min-
nows or Daphnia pulex. In all cases, the fish
survived,  including those exposed to 75 per-
cent effluent. However, effluent sample L did
cause a significant response in 75 and 25 per-
cent  dilutions.  This  sample,  as  indicated
previously, was  acutely toxic to both fathead
minnows  (96-h  LC5o = 23.5 percent) and
Daphnia  pulex  (49-h  EC50 = 28.0 percent).
Sample F indicated low acute toxicity (48-h
ECso = 81.7 percent) to Daphnia pulex, and
sample T was moderately toxic to fathead min-
nows (96-h LCso  = 46.5 percent). As indicated
previously, the bluegills showed no response to
these effluents. The gill purge rate tests are
generally  believed to be more sensitive and to
indicate toxicity at  lower concentrations than
acute lethal toxicity tests. This suggests that
the bluegills were less  sensitive to the toxic
materials  present in samples F, L, and T than
were the fathead minnows and Daphnia pulex.
  Thus, the usefulness of a battery of tests for
biologically evaluating the toxicity of complex
wastes is further demonstrated. It is apparent
that not all organisms or all tests are equally
sensitive to all chemicals or wastes.
REFERENCES

1.  U.S. Environmental  Protection Agency,
    State-of-the-Art of Textile  Waste Treat-
    ment,  U.S. Environmental  Protection
    Agency Report 12090 ECS 02/71, February
    1971.
2.  U.S. Environmental  Protection Agency,
    Development  Document  for  Effluent
    Limitations Guidelines and New Source
    Performance Standards for the Textile
    Mills, Point Source  Category,  U.S. En-
    vironmental Protection Agency Report
    440/1-74-022-a, June 1974.
3.  G. D. Rawlings, Source Assessment: Tex-
    tile Plant Wastewater Toxics Study, Phase
    I, U.S. Environmental Protection Agency
    Report 600/2-78-004h, March 1978.
4.  K. M. Duke, M. E. Davis, and A. J. Dennis,
    IERL-RTP Procedures Manual Level 1
    Environmental Assessment  Biological
    Tests for Pilot Studies, U.S.  Environment-
    al Protection Agency  Report 600/7-77-043,
    April 1977.
5.  R. W. Carlson, and R. A. Drummond, "Fish
    Cough Response—A Method for Evaluat-
                                             278

-------
   ing Quality of Treated Complex Effluents,"
   Water Res., No. 12, pp. 1-6,1978.
6.  Allen L. Edwards, Experimental Design in
   Psychological Research, Holt,  Reinhart
   and Winston, Inc., New York, 488 pp., 1972.
                                             279

-------
           EFFLUENT GUIDELINES DIVISION PROCEDURES  FOR
                     MEASURING PRIORITY POLLUTANTS

                                      Roger D. Holm*
Abstract

  Priority pollutant Compounds are arranged
into several groups, each requiring a different
mode of approach*  Volatile compounds that
can be sparged from water at room tempera-
ture are concentrated from 5 ml of water onto a
collection tube and  then transferred  onto a
chromatogrdphic  column of analysis.  Less
volatile compounds are extracted from waste-
water using methylene chloride in the case of
basic,  neutral, and  acid  compounds,  and
hexane-methylene chloride for pesticides. Ex-
tracts  are  concentrated  to 1  ml to achieve
1,000- or 2,000-fold concentration enhancement.
Except for the pesticides, all organic analyses
are carried out using gas chromatography/mass
spectrometry (GCMS) techniques. A brief intro-
duction to the technique will be given. Ex-
amples of real samples will be provided. Pesti-
cides  are characterized using gas chromatog-
raphy (GC) with  electron  capture  detection.
Metals are measured using atomic absorption
arid inductively coupled argon plasma (ICAP)
spectrometry.

  In this paper I would like to tell you about
the steps we, -at Monsanto, take in analyzing
priority pollutants. I shall introduce examples
of the classes of compounds  currently being
measured, and then provide a brief introduc-
tion to the type of data supplied by the GCMS
instrumentation, our  most powerful tool  in
resolving  and  identifying compounds.  Fol-
lowing this discussion, the analytical steps  for
the volatile compounds that  can be sparged
from  water, the base-neutral  and acid  com-
pounds obtainable  by methylene chloride  ex-
traction, the pesticides obtainable by largely
hexane extraction, and the metals shall be con-
sidered.
  *Group  Leader,  Monsanto  Research  Corporation,
   Dayton, OH.
  Let  me  begin by  illustrating  (Figure 1)
typical compounds or classes encountered in
priority pollutant analyses. Each category re-
quires a somewhat different analysis approach.
The volatile compounds are those that can be
quantitatively sparged from  water  and re-
covered under  certain conditions. Examples
are carbon tetrachloride and chloroform.  The
next group contains less volatile materials that
are extractable into methylene chloride. At a
pH above 11, the base-neutral fraction will  con-
tain neutral compounds such as chlorobenzene
and phthalate esters, which seem to be every-
where, and amines such as dichlorobenzidine
or nitrosoamines. Phenols are extractable from
acid solution. Pesticides such as DDT are ex-
tracted in a separate  scheme. Lastly, metals
such as Pb, Hg, and Cd are also included among
the priority pollutants.
  To aid us later on in understanding the illus-
trations, I want to consider the type of data ob-
tained from a gas chromatographic mass spec-
trometer.
  A small sample is injected by syringe into
the chromatograph. Various solute compounds
exit from  the instrument at  different times.
The mass spectrometer measures and can  dis-
play the fragmentation pattern behavior of
these  compounds as  they  issue from  the
chromatograph. Figure 2 shows five mass spec-
tra obtained at 8-s intervals for a sample. Mass
number is displayed along the abscissa. Note
that a  new  compound  having two  strong
masses has appeared  in the  third scan,  and
reached a maximum in the fourth scan.
  Figure 3 shows a similar series of successive
mass spectra in a 3-dimensional display. Time
and accumulated scan number proceed along
the x-axis; the mass  number from 60 to  180
atomic  mass units is  shown along the y-axis;
and signal amplitude is shown on the z-axis.
The display is that of dioctyl phthalate, which
produces two strong masses at 149 and 167 as
it elutes. In this example, I want to develop the
concept of a changing panorama of mass frag-
                                            281

-------
 VOLATILE COMPOUNDS
           CARBON TETRACHLORIDE
           HALOMETHANES, -ETHANES, -PROFANES
 BASE-NEUTRAL COMPOUNDS
           CHLOROBENZENES
           POLYNUCLEAR  AROMATICS
           PHTHALATES
           NITROSOAMINES
 ACID COMPOUNDS
           CHLORO-AND NITROPHENOLS
 PESTICIDES
           CHLORINATED COMPOUNDS
           POLYCHLORINATED BIPHENYLS
 METALS
           HEAVY METALS
         f
           CYANIDE

Figure 1. Representative classes and compounds among the priority pollutants.
                      282

-------
                                     MASS SPECTRA OF 5 SUCCESSIVE SCANS
                                                        -1   1
                                       Ml H J.
                                    .i..
                             • 171
                              n.c
                             • 178
                              33.7
                                                                               » 173
                                                                                S3.9
                                                                               • 174
                                                                                S3.9
                                         1ST
       Figure 2. Successive mass spectra scans as compounds elute from the gas chromatograph.
 ments as chemicals elute from  the chroma-
 tograph. The computer software can connect
 the peaks of the respective masses of each scan
 to form a reconstructed chromatogram for an
 individual mass, which is shown in Figure 4.
  In this figure the capability is illustrated for
 the mass range 140 to 180 amu. We have here a
 chromatogram in which the data system is dis-
 playing the appearance of mass 149. It can be
 seen that here  dioctylphthalate eluted around
 scan number 196,  about 27 minutes from the
 start. In  general, the compound identity is
 determined by  characteristic mass fragments,
 its appearance  at the appropriate time in the
 chromatogram, and relative mass intensities
 standing in the same ratios as those of stan-
 dard compounds. We have considered the pro-
 duction  of these  ion  mass chromatograms
 because we shall use them frequently during
the remainder of this talk.
  Let us  cons'ier now the  analysis  of  the
volatile components of the priority pollutants.
   Small vials of wastewater are collected with
care to avoid air bubbles. In the lab the water
is spiked with an internal standard, and it is
sparged for 12 minutes in a helium stream flow-
ing at  40 ml/minute.
   The compounds are swept from the solution
onto a collection tube and are adsorbed on
Tenax-GC porous polymer. At the end of 12
minutes, the  collection  tube is heated to
transfer the compounds onto the head of a eold
chromatographic column. After 4 minutes of
heated desorption, the chromatograph run is
started and the column temperature is raised
slowly to 170° C.
  Compounds elute at different times. In Fig-
ure 5 three volatile compounds are shown. The
chloroform is eluted at about  15 minutes. We
can tell it is chloroform by its characteristic
retention  time and  by  its   two significant
masses at 83 and 85 amu. It can be seen that
1,1,2-trichloroethane elutes later, also produc-
ing significant fragments with masses of 83
                                             283

-------
                     MASS SPECTRA FROfl 15 SUCCESSIVE SCANS
       FRN • SI440, SAMPLE SPECTRUM
       NAME< OUEENV 301  9/H ON 3 HI
       1ISC PATAt 1-9-78,.J.. SCHAAR
       PERIODIC, QC RUN  -  40 MIN. 1ST MASS  -  36
       *IASS RANGEi  50-  180
       SCANSI 190- 803
       THRESHOLD •    10.0
       V EXPANSION •  100.0*1
                                                     SCAN
Figure 3. Three-dimensional view of successive mass spectral scans of bis(2-ethylhexyl)-phthalate
                                   centered at scan 196.
                               CHROHATOGRAF1 OF SPECIFIC MASSES
       FMN •  21440, SAMPLE SPCCTMUn
             QUEENV 301 >XN ON B HI
          C OATAt  1-9-78,. J.. SCHAAft
       PERIODIC, QC RUN • 40 HIM. 1ST MASS - 35
       nASS RANGEi  140- 180
       SCANS' 130-  830
       THRESHOLD -    50.0
       V EXPANSION  -  100.0k
       130140 150 160 170 180 190
   140
230  SCAN
  Figure 4. Three-dimensional view of ion mass chromatogram for bis(2-ethylhexyl)-phthalate
                                    centered at scan 196.
                                           284

-------
                          ** SPECTRUM  DISPLAYXEDIT  **
    PECIAL CHOLOfclNE STDS, C2X'S>,GN 8HI
    - 10-78, 1545,  J
                                                        21661
                                                  1ST SCxPGi
                                                *•  1.0O V-
   85.0
   TI
M_^%A_ J YA »  A -. .
   83.0	-. _J^_n_^LTl
   55.0.A,
       IB  11  iff  13  14  IB  te  17  ift  10  ae  ai  ak  ^i  aU  ak  afe a?  P'B  3
            Figure 5. Display of ion mass chromatograms for three volatile compounds.
and 85. The ratio of intensity, however, is dif-
ferent. For confirmation, a third mass, 97 in the
case of 1,1,2-trichloroethane, must also be ob-
served, and the spectrum must match that of
the standard.
  Finally  Figure 6 illustrates a real sample
having 13 volatile priority pollutants. In this
case the  total ion current of the detector is
plotted vs. time to provide a chromatogram
display.
  Let us turn to the extractable compounds
not  volatile enough  to be quantitatively
sparged. The steps are summarized in Figure
7.
  Our procedure is to extract a 2-liter sample,
adjusted  to  pH 11, with methylene chloride.
Neutral compounds and basic amines will con-
centrate in  the methylene  chloride, and the
phenols and acids will remain in the water as
                            salts. The organic layer is removed, dried, and
                            concentrated ultimately to  1  milliliter. The
                            aqueous solution containing the phenols is then
                            acidified to pH 2 and extracted again. The ex-
                            tracts are concentrated, also to 1 milliliter. In
                            this way a 2,000-fold concentration enhance-
                            ment is achieved.
                              Figure 8 shows a 2-liter extraction in proc-
                            ess. Figure 9 shows the extract in the. process
                            of evaporation using a Kuderna-Danish evap-
                            orator.
                              Upon analysis the base-neutral concentrate
                            may appear relatively complex, as is shown in
                            Figure 10. Hidden among many of these peaks
                            are quite a number of polynuclear aromatics.
                            This sample was from an aluminum plant.
                              Figure 11 illustrates the total ion trace of a
                            wastewater extract which had a great number
                            of compounds merging together as they eluted
                                             285

-------
                          *S SPECTRUM DXSPLAV'EDZT
   O UOL  36O R«U UATER QMBHX
   ia-9-77 J.HILLER
                                      **
                   FRM 81349
                  1ST SCXPCl   68
                x*  .se v- i.«e
   TI
                                                                   13
               1
               2
               3
               4
               5
               6
               7
methylene chloride
bromochloromethane
chloroform
1,2-dichloroethane
1,1,1-trlchloroethane
carbon tetrachloride
trichloroethylene
 8  benzene
 9  1,1,2,2-tetrachloroethene
10  toluene
11  1,4-dichlorobutane
12  chlorobenzene
13  ethylbenzene
                     Figure 6. Total ion chromatogram of a volatile sample.
from the chromatograph. Despite all the com-
pounds,  only  two priority  pollutants were
observed, however, in this sample.
  In Figure 12 the lower plot is the total ion
chromatogram we saw before. The peak with
mass  149 at 27 minutes is bis (2-ethylhexyl)
phthalate. The small  peak at  19 minutes is
d10-anthracene, which was added as an internal
standard for quantifications.
  A significant effort goes into data interpre-
tation, and  an example will illustrate  this.
Figure 13 shows  the mass spectrum  of the
                               material eluting at this time. The hydrocarbon
                               background  shown in this  figure can be re-
                               moved in the interactive computer-based data
                               interpretation  process to give  the  resulting
                               mass  spectrum of the material alone. Thus,
                               Figure 14 shows the  three characteristic
                               masses of d10-anthracene at  188, 94, and 106.
                                 Figure 15 shows phenols observed in an acid
                               sample. The extraction from acid solution and
                               workup are identical to those of the base-
                               neutral fraction. In this case five phenols were
                               observed, some hidden beneath the envelope.
                                            286

-------
                                   pH > 11
                               W/SODIUM HYDROXIDE
                               METHYLENE CHLORIDE
                                  EXTRACTION
                  BASES & NEUTRALS
                                       ACIDS. UNEXTRACTABLES. PHENOLS
                   BOTTOM LAYER
         DRIED ON
    ANHY. SODIUM SULFATE
       CONCENTRATED
       INK-D EVAP.
    FROM  10-3 m3 TO 10-6 m'
          GC/MS
      IDENTIFICATION &
       QUANTITATION
                                                TOP LAYER
   CHANGE pH < 2
W/HYDROCHLORICACID
                                                         METHYIENE CHLORIDE
                                                            EXTRACTION
Figure 7. Extraction and workup scheme for base-neutral and acid compounds.
      Figure 8. Extraction of priority pollutants with methylene chloride.

                                         287

-------
                Figure 9. Kuderna-Danish evaporator to reduce methylene chloride
                                         extract volume.
These were phenol, 2-nitrophenol, 2,6-dimethyl-
phenol, 4-nitrophenol, and pentachlorophenol.
  A variety  of steps are taken to maintain
quality control in these analyses. Organic free
water is periodically run through the entire ex-
traction and  cleanup process to ensure that
nothing is picked up  in the laboratory opera-
tions. Duplicate runs are  periodically made, in-
cluding samples divided in the field and sent to
the lab as blind duplicates. An internal stand-
ard is always  added  during the evaporation
stage. R-values, relative  response values used
in quantification, are  checked with standards
periodically to maintain accuracy and to ensure
proper instrumentation performance. Our ex-
perience with extractable compounds has been
that for a measurement performed in tripli-
cate, the  reported value should lie within 34
percent of the true value 90 percent of the
time. Bear in mind that extraction efficiencies
in many waste solutions are not known, but
evidence suggests recoveries ranging from 10
percent to 100 percent, with many in the 30
percent to 80 percent range.
  Pesticides are extracted using the method in
the Federal Register. Generally cleanup is re-
quired  to  remove from solution nonpesticides
that cause significant detector  response.  Fig-
ure 16 shows a typical pesticide chromatogram
using the  electron capture detector before the
second-stage  cleanup. The peaks  indicated
were  removed by  an  acetonitrile back ex-
                                              288

-------
                     ** SPECTRUM DISPLAVxCDIT **—
 F Nj^tANT C-CSPtFft»M*v UASTC UMTa.aUL.OM 1M*
      Figure 10. Typical total ion chromatogram of a base-neutral fraction.
                    *X SPECTRUM DISPLAY/EDIT *X
     3O06 S UL INJ GN 6 LO
 EI-GC
  FRN 81867
 1ST SCXPGI   i
x-  .s« v- i.eo
Figur ? 11. Total ion plot of a base-neutral sample illustrating overlapping peaks.
                                    289

-------
 149.(
                     «X SPECTRUM DISPLAVxEDIT X*
 B'N  3006  8 UL INJ GN 6 LO
 EI-QC  50x4xsx260xa0x30xspaas0 11x^x77 AU
             FRN 21867
            1ST SCXPG*    1
           x-  .so v- i.oo
  94.0
 188.
  TI
                                   A*   6169.
 Monsanto
   Figure 12. Illustration of individual compounds observed within the same sample.
    FRN 51367          SPECTRUM  181
  LARGST 4:    188.0,100.0     55.0. 53.4
  LAST 4t      360.1,  1.6    B61.0., 1.4
 RETENTION TIME   19.0
 69.0. 44.9     95.0, 43.8
274.0.   .6    276.0,    .9
           PAGE IV-   l.«
 Monsanto
Figure 13. Raw mass spectrum showing dig-anthracene plus hydrocarbon background.
                                     290

-------
UORK AREA SPECTRUM   FRN 81567
LARGST 4t     188.0,100.0     79.9,  17.9
                                                        PAGE  i  y     1
                                              94.0, IS. 2    186.9,  14.3
                                      80      100     180      140      160
Monsanto
   Figure 14. Net mass spectrum of d-jQ-anthracene after removal of background.
                     *X SPECTRUM DISPLAV'EDIT X*
                                                          FRN
                                                         1ST SCXPGl   1
                                                        X-  .35 V- 1.00
 U 334319-A GN3LO
 10-31-77 J.niLLER
                                                   d • 4-NITROPHENOL

                                                   e • PENTACHLORO PHENOL

                                                   f • d- ANTHRACENE
                          a « PHENOL

                          b = 2-NITROPHENOL

                          c • 2,6-DIMETHYLPHENOL
Monsanto
       Figure 15. Total ion plot of typical chromatogram of a phenol sample.

                                     291

-------
         9.41




        11.27


         12.50
  >-p  533Hfl
  FlREfl 5S

      RT

    0.39
    0.54
    0.30
    1.39
    1.47
    1.93
    2.29
    3.01
    5.24
    5.47
    7.01
    7.99
    9.41
   12.50
    flREfl

28530000
 3242000
 3354000
 1352000
 1336000
  347600
 1167000
54970000
   59320
 1705000
   51310
 7361000
  374400
 1280006
flREfl  '/.

27.786
 3.157
 3.753
 1.304
 1.350
 0.339
 1.137
53.535
 0.053
 1.661
 B. 350
 3.273
 0.852
 1.247
                  XFs   1.0000  E+ 0
Figure 17. Same pesticide chromatogram after back extraction with acetonitrile.

                              292

-------
Figure 16. Typical pesticide chromatogram before cleanup.




                         293

-------
traction of the  hexane extract to yield  the
cleaner chromatogram in Figure 17.
  Sometimes further cleanup is required, in-
volving adsorption on silica gel, plus further
separation of components in different solvents
having a range of polarities. Note the peak that
appeared in the middle chromatogram of the 15
percent ether-85 percent petroleum ether frac-
tion in Figure 18.
  Figure 19 lists two types of metal analysis
approaches. Metals are measured by acidifying
the solution and performing an atomic absorp-
tion  measurement  on  the  indicated  four
volatile metals: Hg, Se, As, and Tl.
  The remaining metals of concern are mea-
sured using  an automated emission spectro-
graph having as a source an inductively cou-
pled argon plasma. This allows simple solution
aspiration excitation. Quality control is main-
tained using blind   duplicate  samples and
spiked samples.
  We have looked briefly at several phases of
priority pollutant  analyses, discussed typical
compounds, and looked  at the way mass spec-
trometry  data  can be  used to  identify com-
pounds and how it can  be selective. Also we
have discussed analyses of volatile compounds,
the  base-neutral  and acidic  compounds, the
pesticides, and metals.  There has been little
time to expand upon these techniques, but per-
haps you now have a feel for the efforts that
must be expended  for these analyses.
  *
  V
            *»
                                                                      >Sfl%Jj'«ir. ether

                                                                        if
       Figure 18. Portions of typical chromatograms of solutions having increasing polarities
                                 after Florisil column fractionation.
                                             294

-------
        METALS ANALYSES




   ATOMIC ABSORPTION - (As,  Hg, Se, Tl)



   INDUCTIVELY COUPLED ARGON PLASMA (ICAP)
QUALITY  CONTROL



•   DUPLICATE SAMPLES



•   SPIKED SAMPLES
 Figure 19. Methods utilized for analysis of priority pollutant metals.
                     295

-------
                ORGANIC SAMPLING AND ANALYSIS FOR
                      ENVIRONMENTAL ASSESSMENT
                          Philip L. Levins, Judith C. Harris*
Abstract
  Sampling and  analysis  procedures  for
organic species have been developed in support
of the phased  approach to  environmental
assessment developed by the Process Measure-
ments  Branch  of EPA, IERL-RTP. These
methodology studies  focus  on process and
emission streams.
  Level 1  analysis  procedures  have been
evaluated and refined with the objective of pro-
viding a methodology suitable for use in any
experienced laboratory for the generation of
reliable data on most species likely to be en-
countered. A Level 1 reporting format has been
developed which translates the chemical data
into  terms more readily used in assessing
relative hazardousness.
  Level 2 sampling and analysis procedures are
being developed, based upon both a more com-
prehensive broad spectrum protocol and upon
specific procedures  for particular analytes—
PAH's and phenols, for example.

INTRODUCTION

  Organic  sampling  and analysis  for  en-
vironmental assessment calls for a phased ap-
proach including Level 1 (survey), Level 2 (con-
firmation),  and  Level 3 (monitoring)  studies.
The Level 1 procedures developed by the Proc-
ess Measurements Branch have been in use for
about 2 years and procedures for Level 2  are
beginning  to be both  developed and  applied.
The  purpose of this paper is to discuss two
aspects of  organic  sampling and  analysis
methodology which are  particularly relevant
to environmental  assessment of textile  in-
dustry effluents. First, the status of  Level 1
organic analysis procedures will be reviewed,
with emphasis on the methods of interpreting
and reporting the results. The second portion
of the paper will deal with the development of
alternative methods that are  appropriate  for
Level  2  sampling of  polar, water-soluble
organics in aqueous effluent streams.


LEVEL 1 ORGANIC
ANALYSIS PROCEDURES

  The philosophy of the phased approach to en-
vironmental assessment and the details of the
Level 1 sampling and analysis procedures are
described in other EPA publications (refs. 1,2).
The  objectives  and methodology of  Level 1
organic analysis are therefore not discussed in
detail in this paper.
  Level 1 sampling and analysis is designed to
provide  identification of the major categories
of organic compounds  and estimation of  their
concentration in the gaseous, liquid, or solid ef-
fluent  stream.  Organic  analyses are  done
either directly on  neat samples, such as gases
or organic liquid  streams, or on  methylene
chloride extracts of samples such as  aqueous
streams, solids, or SASS train sample  com-
ponents. Figure 1 illustrates the overall Level
1 analysis scheme for the organic components.
The procedure covers the quantitative analysis
of the major volatility  classes  by the pro-
cedures  indicated below.
Volatility
Definition
Procedure
  'Arthur D. Little, Inc., Cambridge, MA.
Gases      Boiling point < 100° C  Field GC
Volatile    Boiling point 100-300° C TCO
Nonvolatile Boiling point > 300° C  GRAV

The TCO procedure is a laboratory gas chroma-
tographic (GC)  method for the  volatile com-
ponents. The GRAV procedure is a gravimetric
method for the  nonvolatile components.
  Qualitative analysis to determine the major
chemical categories  in each sample  is  per-
formed by first separating the sample accord-
ing to polarity on a silica gel liquid chromatog-
raphy  (LC) column. Each of the fractions is
then identified  by  obtaining infrared (IR) and
low resolution mass spectral (LRMS) data.
                                            297

-------
Aqu
sow, Solutions

Seven Fractions:

*

Analysis






t
Low Resolution
Mass Spectra
Analysis '



TCO1
Gravim
Anah
                        Figure 1. Level I organic analysis flow diagram.
 REPORTING LEVEL 1
 ANALYSIS RESULTS

  At this time, sufficient Level 1 tests have
 been run  (refs. 3,4,5,6)  to  verify  that  the
 specified organic analysis procedures are capa-
 ble of identifying a broad range of organic com-
 pound categories when present in environ-
 mental  samples. As  the  data have been ac-
 cumulated, it has been possible to develop and
 recommend with some confidence a format for
 reporting  and  summarizing  the organic
 analysis results.
  The first  complete set  of  data  to  be
 developed in the Level 1 organic analysis are
the LC results, which are reported in the form
shown in Table 1. The volatile (TCO) and non-
volatile  (GRAY) components  of each LC frac-
tion  are reported after  computing back to
equivalent quantities in the entire sample. The
total quantity of each fraction is then derived
from the sum of TCO + GRAY and the concen-
tration  in the sampled stream is  calculated
from the sample quantity and volume sampled.
  Results of the IR analysis of each sample and
LC fraction are tabulated in terms of the fre-
quency of peak maxima, probable assignment,
and intensity  (weak, medium, or strong).  A
typical example is given in Table 2.
  The LRMS results are reported in terms of
the compound  categories found in the sample
and their  estimated relative abundances.  A
typical report  using this  format is shown in
Table 3. Most of the subsequent initial Level 1
interpretation  of data is done using only the
major  compound  category  data. Compound
                                           298

-------
                                   TABLE 1. EXAMPLE LC REPORT


Total Sample1'
Taken for LC*
Recovered*

Fraction
1
2
3
4
5
6
7
TCO
mg
106
23
17
TCO*
mg
1.4
15
55
0.5
0.9
3.2
0.5
GRAV
mg
386
84
74
GRAV§
mg
11.5
4.6
259.4
10.1
31.3
16.6
2.8
Total
mg
492
107
91
Total§
mg
13
20
314
11
32
20
3
Concentration*
mg/m^
82
18
15
Concentration*
mg/m^
2.1
3.3
52
1.8
5.3
3.3
0.5
                *Total mg divided by total volume.
                tQuantity in entire sample, determined before LC.
                ^Portion of whole sample used for LC, actual mg.
                ^Quantity recovered from LC column, actual mg.
                § Total mg computed back to total sample.
                                   TABLE 2. EXAMPLE IR REPORT
Frequency
(cm-1)
3400
3050
2850,2920
1710
1680
1600
1450
1060
740

Intensity
M
W
M
S
M
M
M
S
M

Assignment
OH, NH
Unsaturated CH
Saturated CH
Acid, ketones
Monosub amide, ketones
Ring vibrations
CH2
Si-0, ether
Subst. pyridine, C-CI

Comments
Broad






Broad

categories for LRMS interpretation are chosen
primarily from a list of about 24 general com-
pound groupings.
  For each sample or sample extract subjected
to the Level 1  organic analysis procedure,
there will be an LC report, eight IR reports,
and up to sev n LRMS reports. This is an un-
wieldy body of data from which  to make a deci-
sion. To reduce these data to  a workable form,
the detailed  information from  the combined
LC, IR, and LRMS data is combined into a sum-
mary report. The organic extract summary re-
port basically tabulates the identity and quan-
tity of all compound categories found in each of
the LC  fractions and sums them, to yield an
estimate of source concentrations. The results
from the sample shown in Table 4, for instance,
indicated a high concentration of aromatics and
some polar compounds in the sampled stream.
  The considerable overlap in chemical class
composition  that  is  generally expected be-
tween adjacent  fractions in  the Level 1 LC
                                             299

-------
                                 TABLE 3. EXAMPLE LRMS REPORT
Major categories
Intensity
100
100
10
10
10
Category
Ketones
Heterocyclic nitrogen compounds
Esters
Carboxylic acids
Phenols






MW range
180-280
167-253



Sub-categories, specific compounds
Intensity
100
100
10
10
10
10
10
10
10
10
10
10
10
Other

Category
Acridine
Fluorenone
Phenol
Cresol
Benzole Acid
Carbazole
Methylacridine
Methylfluorenone
Anthraquinoline
Benzanthrone
Dibenzofluorenone
Dibutylphthalate
Methylbenzanthrone

m/e
179
160
94
108
122
167
193
194
229
230
280
278
244

Composition
C13H9N
Cl3H80
CeHgO
C7H80
C7H602
Ci2HgN
C14HnN
C14H100
CiyHiiN
C17H100
C21H120
C16H220
Ci8H120

scheme is illustrated by the data in Table 4. It
is worth emphasizing that this LC procedure is
not a  high-resolution technique and that its
function in Level 1 methodology is to facilitate
qualitative analysis by IR and LRMS, rather
than to isolate various compound categories in
discrete fractions. The reporting format devel-
oped takes account of this fact by combining
the information obtained on various LC frac-
tions to provide an integrated  description of
the  chemical  composition  of  the  sampled
stream.
  In summary, the procedures  developed for
interpreting  and  integrating  the  Level 1
organic analysis data result in a list of organic
chemical classes and their estimated  concen-
trations in the stream sampled. This overall
estimate of stream chemistry is appropriate
for comparison with decision criteria such as
the EPA's Multimedia  Environmental Goals
for Environmental Assessment (ref. 7).
  If one or more of the estimated concentra-
tions exceeds the levels of concern, it may then
be desirable to reexamine the organic analysis
data in detail to determine more specifically
the nature of the material responsible for the
positive "trigger."

LEVEL 2  SAMPLING
OF WATER-SOLUBLE  ORGANICS

   The results of the Level 1 organic analysis
provide a basis for proceeding with and/or di-
recting more detailed Level 2 studies. Level 2
inquiries are expected to be directed primarily
at the identification, quantification, and con-
                                             300

-------
                            TABLE 4. ORGANIC EXTRACT SUMMARY TABLE
                   Sample: sorbent extract
                    LC1
LC2
LC3
                                                    LC4
                              LC5
                                                                       LC6
                                        LC7
Total orpnics, rag/m^
TCO.mg
GRAV.mg
Category
Sulfur
Aliphatic HC's
Aromatics-benzenes
FusedArom216
Fused Arom216
Heterocycl-c S
Heterclytic N

Carboxylic acids
Phenols
Esters
0.61
5.2
13

100/0.6
10/0.06









0.74
19
3.3



10/0.06
100/0.6
10/0.06
10/0.06





8.4
73
180




100/4
100/4
10/0.4





1.0
6.7
23
Int/mg/m^



100/0.5
100/0.5
10/0.05
10/0.05




0.33
3.7
7.3







/0.1*
/0.01*
/O.I*
/0.01»
/0.01*
1.5
5.3
41

-





100/0.7
10/0.07
100/0.7
10/0.07
10/0.07
0.50
0.1
15







10/0.02
100/0.2
10/0.02
10/0.02

13
110
280

0.6
0.06
0.06
5
5
0.5
1
0.3
1
0.1
0.08
 * Estimated assuming same relative intensities as LC6, since IR spectra of LC5 and LC6 very similar.
firmation of  specific  compounds whose pres-
ence could be inferred on the basis of the cate-
gorical analysis of Level 1. Level  2 analyses
may be conducted either on  samples freshly
collected for that purpose or on samples re-
tained from the Level 1 sampling effort. The
choice between collecting a new sample or ana-
lyzing a  retained sample or fraction for  the
Level 2 data will be highly specific to the exact
question  to be answered and to the nature of
the chemical  species to be determined.
  Most of the sampling procedures chosen for
Level 1 were the best available and are still ap-
propriate for Level 2 studies.  On  the  other
hand, there  are  several  organic  compound
categories for which alternative sampling pro-
cedures are required to achieve optimal collec-
tion and recovery. Examples that are particu-
larly relevant to textile industry environment-
al assessment are very polar, water-soluble or-
ganics in aqueous effluents. This section of the
paper will describe work in progress to charac-
terize sampling approaches for these types of
compounds.
  Solvent extraction of pH-adjusted samples is
the most widely used approach to sampling of
organic polluta' cs  in aqueous  industrial ef-
fluents. This  approach,  which is  specified for
                    Level  1 survey analysis, is capable of giving
                    quantitative recoveries of a wide range of non-
                    polar organic materials. However, quantitative
                    recovery of very polar, water-soluble organic
                    species is not always achievable by solvent ex-
                    traction. Estimates of the maximum achievable
                    extraction efficiency can  be based on the value
                    of the  solvent/water partition coefficient for a
                    particular species. For example, three succes-
                    sive extractions of water sample, using 100 ml
                    of solvent per liter of sample for each extrac-
                    tion, can be expected to  provide >90 percent
                    extraction  efficiency  for  individual  organic
                    species that have solvent/water partition coef-
                    ficients >12.  Extensive  listings of partition
                    coefficients  are available (refs. 8,9), and these
                    can be used to verify extraction efficiencies for
                    individual organic species of concern. Some il-
                    lustrative values, presented in Table 5, in-
                    dicate  that carboxylic acids, sulfonic acids,
                    glycols, and phenols are  among the categories
                    of compounds not efficiently extracted.
                       An  attractive alternative approach for  col-
                    lection of  organics  from  large quantities of
                    water  is the use of an in situ continuous extrac-
                    tive  sampler   containing  a  solid   sorbent
                    material.  One  of  the earlir - devices of this
                    type, once widely used  in the field,  was the
                                              301

-------
                           TABLE 5. ILLUSTRATIVE VALUES OF SOLVENT:
                                WATER PARTITION COEFFICIENTS*
Compound
Efficiently extracted
Propyl ether
Hexyl amine
Butyl mercaptan
Benzene
Chlorobenzene
Indene
Acridine
Thiophene
PCHCl3:H20

580
490
1,200
460
6,200
78,000
20,000
301
'>heptane:H20

34
30
98
24
1,100
1,500
9,300
13
pether:H20

18
16
34
15
150
180
575
10
Inefficiently extracted
Acetic acid
Phenol
Benzene sulfonic acid
Ethylene glycol

0.03
2
0.0001
0.002

1.0
0.05
0.000006
0.00001

0.4
31
0.002
0.005
                * Estimated using data bank and methods of reference 8.
 EPA's carbon absorption module  (CAM) (ref.
 10),  with  generally good  collection efficiency
 but  low recoveries for organics. A number of
 previous workers (refs. 11,12,13,14) have done
 laboratory studies on the use of macroporous
 resins and have determined overall recoveries
 of selected organic compounds from water,
 under conditions designed to simulate sam-
 pling applications.  Other investigators (refs.
 15,16) have  explored the  use of polyurethane
 foam plugs for collection of organics, especially
 polycyclic aromatic hydrocarbons. Anion  ex-
 change resins have been  used successfully in
 several instances for the concentration of polar
 or ionizable  organic compounds (refs.  17,18).
 The  Ambersorb carbonaceous adsorbents have
 not yet been extensively researched as possi-
 ble adsorbents for  PAH or other  compounds
 from water.
  The present work involves a systematic lab-
 oratory investigation of  the  applicability  of
 macroreticular   resins  for  general  and
 compound-specific sampling of organics, based
 on small-scale, chromatographic experiments.
 The  basic approach used  in this work  is the
generation  and   analysis  of  the  frontal
 breakthrough curve produced by challenging a
sorbent cartridge with an aqueous solution of
organic  analyte  at constant flow rate. The
experimental  method  has  been described in
some detail elsewhere (ref. 19). Figure 2 is a
schematic representation of a frontal break-
through curve, indicating the 50 percent and
100 percent breakthrough points. The frontal
breakthrough  curve generated in each experi-
ment was analyzed to determine the character-
istic 50 percent breakthrough parameters and
the adsorption isotherm.
  The specific retention volume corresponding
to 50 percent breakthrough, Vgo, is the number
of sorbent bed volumes (BV) of aqueous solu-
tion that have passed through the bed up to the
time when the exit concentration of organic
species equals one-half of the challenge concen-
tration. The Vgo value, which is independent of
challenge concentration as long as the latter is
sufficiently  low, allows  one  to  determine
whether an organic compound is retained by a
given volume of sorbent at a specified flow rate
and sampling time. The weight capacity of the
sorbent for organic species, in mg/cm3 of resin,
corresponding to 50-percent  breakthrough is
given by V50  x challenge concentration. The
weight capacity is thus a function of challenge
concentration, subject to an  upper limit cor-
responding  to saturation  of the  bed.  The
weight capacity, while useful for comparisons
between laboratory   experiments,  is  less
                                             302

-------
     C100%.
Breakthrough or
Concentration    C
     (C)      50%
                                        ,V
                                          50-
                                               r100
                                                                                 • Frontal
                                                                                  Profile
                                         Volume (Time)

                       Figure 2. Schematic of frontal breakthrough curve.
valuable than V50 as a sampling device design
parameter.
  The adsorption isotherm, a plot of uptake of
solute  in mg/cm3. of resin versus  percent
breakthrough, was calculated by  integrating
the area in front of the breakthrough  curve at
5,25,50,75, and 100 percent breakthrough. Ad-
sorption isotherms contain  valuable  informa-
tion on the affinity of the resin  for a  sorbate,
and allow the saturation  capacity of  the sor-
bent to be ascertained. If the  breakthrough
curve is generated under equilibrium  sorption
conditions, the isptfferm is expected to show a
Langmuir shape—linear  in  the low uptake
region and reaching to a plateau corresponding
to saturation of the available adsorption sites.
Deviation of  the isotherm from the expected
Langmuir shape is an indication of significant
mass transfer effects in  the frontal  chroma-
tography experiment.
  The initial studies in this program were done
using XAD-2,  the  resin most  extensively
studied for collection of organic species from
water. A series of experiments was performed
to determine the effect of aqueous sample flow
rate on the adsorption of a moderately polar
organic species, acetophenone, on XAD-2. As
shown in Figure 3, distinctly non-Langmuir iso-
therms were obtained at sample flow rates cor-
responding to linear velocities through the sor-
bent bed of 2 cm/min or higher. Note that the
uptake at 50-percent breakthrough is also very
much lower at the higher flow rates tested.
These flow rate studies clearly show that mass
transfer effects have an important impact on
adsorption of  acetophenone from water  onto
XAD-2, even at relatively low flow rates. This
may indicate  that  adsorption of species for
which XAD-2 has limited affinity, such as ace-
tophenone,  is limited by  diffusion  into the
pores  of the  macroreticular resin particles,
while  more readily sorbed species,  such  as
polynuclear aromatic hydrocarbons (PAH), are
efficiently captured on the exterior surface of
                                             303

-------
           7.0
           6.0
           5.0
 Uptake,   4.0
 mg/cc of
 Resin
 Bed
           3.0
           2.0
           1.0
                        Flowrate:

                        Flowrate:

                        Flowrate:

                        Flowrate:
0.88 ml/min
1.12cm/min
1.6 ml/min
2.0 cm/min
3.1 ml/min
3.9 cm/min
6.1 ml/min
7.8 cm/min
                              50     75
                           % Breakthrough
95100
                        Figure 3. Isotherms for adsorption of acetophenone on XAD-2
                                 from water as a function of flow rate.
the particles. It was necessary to reduce the
flow rate to about 1 cm/min linear velocity in
order to achieve the expected isotherm shape
and maximum uptake. This linear velocity was
maintained in subsequent breakthrough exper-
iments with other analytes and sorbents. The
flow rate dependence study illustrates the fact
that sampling approaches proven effective for
PAH in water are often not directly applicable
to other organics.
  A  variety of organic compounds in aqueous
solutions were  examined to determine  their
     frontal chromatographic behavior  on  XAD-2.
     Because of the interest in extrapolating to field
     sampling  of industrial  effluents, pH  adjust-
     ments were not made in these tests.  The 50
     percent breakthrough  parameters are pre-
     sented in the first column of Table  6. The
     results  confirm  the  observations of other
     workers that XAD-2 has a high affinity  for non-
     polar aromatic species; no measureable break-
     through was obtained for these compounds.
     The XAD-2 also seems to be an adequate sor-
     bent, for sampling purposes, for species such as
                                            304

-------
          TABLE 6. COMPARISON OF UPTAKE ON VARIOUS RESINS AT 50 PERCENT BREAKTHROUGH
                             FOR 10 PPM CHALLENGE CONCENTRATION
Resin


Analyte
Phenol
Benzole acid
Benzyl alcohol
Acetophenone
Chlorobenzene
Methyl benzoate
Naphthalene
Carbazole
Acridine
XAD-2
Wt.
capacity
mg/cm3
0.43
0.54
0.53
3.2
(>3.8)*
11.4
(>3.8)*


Vol.
capacity
BV
74.7
102
98.9
527

1,750



XAD-7
Wt.
capacity
mg/cm3
0.60
0"

0.89





Vol.
capacity
BV
67.9
39.2

96.6





IRA-904
Wt.
capacity
mg/cm3
(>14.3)t
(>14.3)t
0.164




0.58*
0.32*
IRA-93 XE-347
Wt. Wt.
capacity capacity
mg/cm3 mg/cm3
* *
# *
*
(>712)t



(>0.72)t
(>1.42)t
         *No breakthrough in 4 hours, therefore, volumetric capacity not determinable. (Number in parenthesis is
          amount sorbed up to that point.)
             breakthrough in 16 hours, therefore, volumetric capacity not determinable. (Number in parenthesis is
          amount sorbed up to that point.)

          'Jptake at 40 percent breakthrough.
ketones and esters. The low affinity of XAD-2
for very polar organics such as phenol and ben-
zoic acid was confirmed.
  Several other  macroreticular resins were
tested to explore their potential  for  use as
alternatives or supplements to XAD-2  for col-
lection  of polar  species.  The breakthrough
parameters for these resins are summarized in
Table 6. XAD-7 was found to have higher affini-
ty for phenol, but lower  affinity for benzoic
acid, than XAD-2.
  The ion exch?*rge  materials,  IRA-904  and
IRA-93, showed  >10  times more capacity for
phenol and benzoic acid in  distilled water than
did XAD-2 or XAD-7. However, breakthrough
on these resins was virtually instantaneous if
the aqueous  solution contained as much as 250
ppm  of sodium chloride, an amount commonly
found in aqueous effluents. This is not entirely
unexpected in that the manufacturer of these
resins recommends use of  salt solutions as the
most effective regeneration method.
  Carbonaceous resin, XE-347, showed a very
high  affinity for all of the compounds  tested.
Except for the very polar analytes, no break-
through was obi ?rved over a 16-h period. In-
vestigation of ti   Ambersorb resins, including
quantitative  studies  of recovery  of  sorbed
material, is continuing. This sorbent medium
presently appears to represent a promising ap-
proach  for  sampling of  very  polar water-
soluble organics in aqueous streams.

ACKNOWLEDGEMENTS

  This work was  performed under EPA Con-
tract  No. 68-02-2150 from the Process  Mea-
surements Branch, Industrial Environmental
Research Laboratory, Research Triangle Park,
North Carolina. The authors wish to thank Ms.
Zoe A. Grosser and Ms. Karen C. Weaver for
their contributions.

REFERENCES

 1. U.S.  Environmental  Protection  Agency,
   "Environmental  Assessment  Sampling
   and  Analysis:  Phased  Approach   and
   Techniques for Level 1," EPA-600/2-77-115,
   June 1977.
 2. U.S.  Environmental  Protection  Agency,
   IERL-RTP Procedures Manual Level 1
   Environmental Assessment, EPA-600/2-76-
   160a, PB 257-850/AS, June 1976.
 3. U.S.  Environmental  Protection  Agency,
   "Compilation  of Level 1 Environmental
                                             305

-------
   Assessment Data," EPA-600/2-78-211,  Oc-
   tober 1978.
 4. N. H. Gaskins and F. W. Sexton,  "Addi-
   tional Chemical  Data:  A  Supplement to
   Compilation  of  Level   1  Environmental
   Assessment  Data,"  report  prepared  on
   EPA Contract No. 68-02-2156.
 5. U.S. Environmental Protection  Agency,
   "Source  Assessment:  Textile  Plant
   Wastewater  Toxics  Study:  Phase  1,"
   EPA-600/2-78-004h, March 1978.
 6. J. L. Rudolph, J. C. Harris, Z. A. Grosser,
   and  P.  L.  Levins,  "Ferroalloy Process
   Emissions  Measurement,"  draft  report
   prepared on EPA Contract No. 68-02-2150,
   August  1978.
 7. J.  G.   Cleland  and  G.  L.  Kingsbury,
   Multimedia Environmental Goals for En-
   vironmental  Assessment,  Vol.  I,  EPA-
   600/7-77-136a, November 1977.
 8. A. Leo, C. Hansch, and  D. Elkins, "Parti-
   tion  Coefficients  and  Their  Uses,"
   Chemical Reviews, Vol. 71, No. 525, 1971.
 9. A.  Seidell,  Solubility  of Organic  Com-
   pounds, Vol. II,  3rd ed., Van Nostrand,
   Princeton, NJ, 1941.
10. M. J. Taras, A. E. Greenberg, R. D. Hoak,
   and  M.  C.  Rand, eds.,  "Organic Con-
   taminants," Standard Methods for the Ex-
   amination of Water and Wastewater, 13th
   ed.,  pp. 259-270, American Public Health
   Association, Washington, DC, 1971.
11. G. A. Junk, J. J. Richard, J. S. Fritz, and H.
   J. Svec,  "Resin Sorption  Methods  for
   Monitoring   Selected  Contaminants  in
   Water,"  Identification  and Analysis of
   Organic Pollutants in Water, L. H. Keith,
   ed.,  Ann Arbor  Science, Ann Arbor, MI,
   1976.
12. P. E. Strup, J. E. Wilkinson,  and P.  W.
   Jones,  "Trace  Analysis  of  Polycyclic
   Aromatic  Hydrocarbons   in  Aqueous
   Systems Using XAD-2 Resin and Capillary
    Column Gas Chromatography Mass Spec-
    trometry Analysis," 1'olynuclear Aromatic
    Hydrocarbons: Second International Sym-
    posium on Analysis, Chemistry and Biol-
    ogy, P. W.  Jones and R. E. Freudenthal,
    eds., Raven Press, New  York, pp. 131-138,
    1978.
13.  R.  G.  Webb, "Isolating Organic  Water
    Pollutants: XAD Resins, Urethane Foams,
    Solvent  Extraction,"   EPA-660/4-75-003,
    1975.
14.  P. Van Rossum and R. Webb, "Isolation of
    Organic Water Pollutants by XAD Resins
    and Carbon," Journal of Chromatography,
    Vol. 150, pp. 381-392, 1978.
15.  D. K. Basu and J. Saxena, "Monitoring of
    Polynuclear  Aromatic  Compounds  in
    Water II. Extraction and Recovery of Six
    Representative Compounds With Polyure-
    thane Foams," Environmental Science and
    Technology, Vol. 12, pp.  791-795, 1978.
16.  J. Navratil, R. Sievers, and H.  Walton,
    "Open-Pore Polyurethane Columns for Col-
    lection  and   Preconcentration  of  Poly-
    nuclear Aromatic Hydrocarbons from Wa-
    ter,"  Analytical  Chemistry,  Vol.   49,
    No. 14, pp. 2260-2263, 1977.
17.  M. Chasanov, R. Kunin, and F. McGarvey,
    "Sorption of Phenols by Anion  Exchange
    Resins,"  Industrial  and   Engineering
    Chemistry, Vol. 48, No. 2, pp. 305-309,1956.
18.  B. Kim, V. Snoeyink, and F. Saunders, "Ad-
    sorption  of  Organic  Compounds by Syn-
    thetic Re-sins," J. WPCF,  Vol. 48, No. 1,
    pp. 120-133, 1976.
19.  Z. A. Grosser, J. C. Harris,  and P. L.
    Levins,  "Quantitative  Extraction  of
    Polycyclic  Aromatic  Hydrocarbons  and
    Other Hazardous Organic Species From
    Process  Streams  Using  Macroreticular
    Resins," presented at the 3rd International
    Symposium  on   Polynuclear  Aromatic
    Hydrocarbons, October 1978.
                                           306

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   MEASUREMENT OF  COLOR IN  TEXTILE DYEING WASTEWATERS

                                     Linda W. Little*
Abstract

  All presently accepted "standard methods"
for determining color of water and wastewaters
are based on spectrophotometric analysis. The
standard American Public Health Association
determination of color, initially  designed for
application to natural waters, is based on com-
parison of true (soluble) color of the test sample
to knoum concentrations of yellow-brown color.
Since even slight  amounts  of  turbidity in-
terfere with spectral analysis, turbid samples
require filtration prior to analysis. Application
of the methods to textile dyeing wastewater is
complicated due to the presence in many of
these wastewaters  of insoluble dyes and dyes
of hues substantially different from the yellow-
brown color  of natural waters. Recent ap-
proaches to modification of standard methods
to improve applicability to all hues /American
Dye  Manufacturers^  Institute  (AMDI)
Method/  and for  improved  and  simplified
calculation of color values (CIELAB, CIELUV)
will be discussed, as well as possible approach-
es  to  obtaining  realistic  color values for
wastewaters containing dispersed dyes  and
other dyes that  are removed by filtration.
  The presently accepted  standard methods
for determination  of color  in  water  and
wastewater were developed  for  potable, sur-
face, and other natural waters in which the col-
or is generally  soluble and  yellow-brown in
hue. In the standard  American Public Health
Association (APHA) procedure, "true color" is
defined as "the  color  of water from which the
turbidity has  been removed," and "apparent
color" as the "color due to  substances in solu-
tion,  but  also  that  are due  to suspended
matter." (ref.  1) Apparent color is determined
on the sample without prior  filtration or cen-
trifugation. In  practice, the reported  color
value is generally the true or soluble color.
  "Chemistry  and  Life Sciences  Division,  Research
  Triangle Institute, Research Triangle Park, NC.
  Accurate color determinations of effluents
from textile and carpet dyeing are complicated
by two factors: (1) the colors may be drastically
different from the yellow-brown hue to which
the APHA value is related and (2) the color
components may  be  insoluble in  aqueous
media.
  To overcome the first problem, members of
the American Dye Manufacturers  Institute
(ADMI)  have  developed   a  modified color
method that  is  an  extension  of  the APHA
method and that is "(1) applicable  to any hue,
(2) sensitive to small color  differences, (3) re-
lated  to  APHA values,  and (4)  requires
relatively inexpensive instrumentation" (ref.
2). This method has now been adopted by EPA
(ref. 3) and is under consideration for the 15th
edition of Standard Methods for the Examina-
tion of Water and Wastewater.

THE ADMI COLOR METHOD (ref. 2)

  As  stated above, the ADMI measurement
was designed to be an extension of the APHA
color method. As such, the  color is defined as
soluble color and the samples must be prefil-
tered through a celite-coated filter crucible or
celite-coated  glass fiber filter paper. Such
filtration will obviously remove particulate col-
or and may also remove certain dyes through
adsorption. In brief,  the  ADMI  method in-
volves:
  •  prefiltration to remove insoluble mate-
     rials,
  •  determination of tristimulus values with
     the  aid  of  a  spectrophotometer or  a
     tristimulus colorimeter,
  •  conversion of the  tristimulus values to
     corresponding Munsell values by use of
     appropriate tables or by calculation,
  •  calculation of tve value DE, (the Adams-
     Nickerson Color Difference related to a
     definition of the color space designed as
     ANLAB), and
  •  conversion of DE to the ADMI value by
     calculation.
                                            307

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A variety of spectrophotometric equipment
can be used, ranging from a relatively inexpen-
sive colorimeter  especially designed  for  the
procedure to a "double beam recording spec-
trophotometer  coupled to  a digital computer
(which) will  eliminate  calculation  time and
generate ADMI values within a matter of sec-
onds" (ref. 2). Without the aid of tables and of
programmable  calculators  or computers,  the
calcultions are extremely tedious.
  The ADMI procedure has been subjected to
interlaboratory testing and a sample having a
color value of 100  units has been shown to have
a 95 percent confidence limit of less than  ± 5
units.

CONCEPT OF COLOR SPACE

  As noted above, the ADMI procedure is bas-
ed on  a color difference formula devised by
Adams and Nickerson and recommended by
the Society of Dyers and Colorists in 1970. This
formula is defined as  the difference "between
any  two specimens...as the distance between
their positions in the uniform  colour  space
known  as  ANLAB"  (ref.  4).   The Adams-
Nickerson formula is quite  complex, involving
a fifth-degree polynomial equation to quantify
the  relationship  between  one  of the  three
tristimulus values and the Munsell value.
  At this point, it may be appropriate to brief-
ly discuss the notion of color space, a very com-
plex concept accompanied by  very complex
mathematical representations. The human eye
responds  differently  to  various  hues  and
brightnesses. In the ideal color space represen-
tation, one unit of color difference at any one
area of the color space (e.g., in the yellow area)
would be exactly equal to one unit in any other
area (e.g., in the blue  area). Therefore, a blue
solution of 100 color units would  have the same
color depth  as a  yellow solution of 100 color
units.  The color  space  is  3-dimensional and
nonspherical. A given color can be accurately
defined, or located in the color space, by three
primary or tristimulus values, providing these
values are properly weighted  in the calcula-
tion. In practice,  the three tristimulus  values
correspond to standard red, blue, and green
filters. A relatively simple  explanation of the
nature of color,  accompanied  by  full  color
diagrams, may be found in reference 5. Suffice
it to say that a multitude of mathematical for-
mulae have been devised to define the color
space.
  The international authority for all aspects of
color is the  Commission  Internationale de
1'Eclairage (CIE). This organization has valiant-
ly attempted unification of the variety of dif-
ferent evaluation practices in the hopes of com-
ing up with "a single uniform color-space and
color-difference  formula...which will serve
most industry applications satisfactorily" (ref.
6). The two most promising practices at  the
present time are: (1) a color difference formula
based on uniform color spaces as defined by
CIE in 1964 and designated as CIELUV, and (2)
a cube root version of the  Adams-Nickerson
color  difference   formula  designated  as
CIELAB. The latter has found more favor with
the textile  and dyestuff industries. The ADMI
procedure  can be modified to incorporate the
simplified CIELAB  formula, thus  greatly sim-
plifying calculation  of color values.  Detailed
discussions of the CIELAB may be found in ar-
ticles by McLaren  and associates (refs. 4,7).
Other detailed discussions  of color measure-
ment in the textile industry are included in
proceedings of a recent AATCC workshop/
seminar (ref. 8).
APPLICATION OF COLOR
MEASUREMENT PROCEDURES
TO ACTUAL WASTEWATERS

  We have, then, a variety of ways to obtain a
number representing "color" of waters and
wastewaters. But what is the significance of
the measurement we have obtained? How does
this measurement, however precise and repro-
ducible, relate to the basic question: How much
color is leaving the effluent from the dyeing
operation   and  entering  into the  receiving
stream? Given this concern,  one is forced to
question the relationship between the effluent
and the sample  that is actually subjected to
analysis, i.e., the portion of the effluent that is
capable of passing through a celite filter. Dur-
ing extensive research on the characterization,
bioassay, and treatability of dyes and dyeing
wastewaters (refs. 9 through 13), we observed
that with  certain wastewaters, such as those
from disperse dyeings, measurement of either
true color or apparent color failed to adequate-
ly represent the color intensity obvious to the
                                           308

-------
eye. It appeared that the discrepancy was due
to (1) interference by turbidity, especially non-
colored suspended solids, in the apparent color
determination; and (2) removal of most of the
color in the prefiltration step of the true color
determination.  Preliminary  research on sev-
eral synthetic dyeing wastewaters  (i.e., those
prepared in the laboratory with disperse dyes
and dispersants) substantiated the removal of
most of the color by such processes as mem-
brane filtration, diatomite filtration, glass fiber
filtration, and centrifugation (ref. 14). Obvious
ly the true color bears little resemblance to the
real color of the effluent unless the effluent has
been subjected to pretreatment to give color
removals equivalent to these processes.
  The  study just described also revealed that
with disperse dyeing mixtures, addition of
organic solvents such as acetone prior to the
filtration step would facilitate measurement of
most of the color. Much additional testing with
a variety of solvents, dyes, and dyeing waste-
waters will be required to determine the op-
timum conditions for measurement of color.
The first criticism is apt to be that addition of
solvent will lead to the overestimation of color
in the effluent and that  unrealistic  require-
ments  for color removal will thereby result.
SUMMARY

  At the present time there is not a perfect or
even a reasonably good method for accurately
estimating the total color  of complex waste-
waters  containing  undissolved  dyes.  The
challenge facing us is development of an ac-
curate method that can be readily performed
by wastewater operators or by monitoring per-
sonnel,  preferably  with  moderately  priced
equipment. Two approaches to such a method
are modification of the existing procedures for
color analysis (for exam-pie, by solvent addi^
tion) or development of new  procedures that
measure color in either the soluble or insoluble
state. The ultimate goal of either approach will
be the development of a method that gives a
realistic estimate of color  in actual effluents
from textile and dyeing operations.
REFERENCES

 1. American   Public  Health   Association,
   American Water Works Association, and
   Water Pollution Control Federation, Stan-
   dard Methods  for  the Examination of
   Water and  Wastewater, 14th ed., Method
   204,  "Color,"  American  Public  Health
   Association, Washington, DC, 1976.
 2. W. Allen, et al., "Determination of Color of
   Water and Wastewater by Means of ADMI
   Color  Values,"  Proceedings, 28th In-
   dustrial  Waste  Conference  at  Purdue
   University,  Engineering Bulletin of Pur-
   due University,  Engineering  Extension
   Series No. 142, p. 661, 1973.
 3. U.S.  Environmental Protection  Agency,
   Methods for Chemical Analysis of Water
   and  Waste,  addendum,  "Color  (ADMI
   units)," Storet Nos. 0082 and 0083, En-
   vironmental Protection Agency, Office of
   Technology  Transfer, Washington, DC, un-
   dated.
 4. K. McLaren and B. Rigg, "XII-The SDC
   Recommended Colour-Difference Formula:
   Change to CIELAB," Jour. Soc. Dyers and
   Colorists, Vol. 92, p. 337, 1976.
 5. M. M.  Lih, "Color Technology," Chem.
   Engng., August 12, 1968.
 6. Commission Internationale de 1'Eclairage,
   Official Recommendations of Uniform Col-
   or Spaces,   Color-Difference  Equations,
   Metric Color Term, Supplement No. 2 to
   CIE  Publication  No.  15,  Colorimetry
   (E-l.3.1) 1971, 19 pp., 1976.
 7. K. McLaren, "XIII-The Development of
   the CIE  1976 (L*a*b*) Uniform Colour
   Space and  Colour-Difference  Formula,"
   Jour. Soc.  Dyers  and  Colorists,  Vol. 92,
   p. 338, 1976.
 8. AATCC, Color Measurement in the Textile
   Industry, American Association of Textile
   Chemists and Colorists, Research Triangle
   Park, NC, 1977.
 9. L. W. Little and J. C.  Lamb III, "Acute
   Toxicity  of 46  Selected  Dyes   to  the
   Fathead Minnow, Pimephales promelas,"
   Dyes and the Environment, American Dye
   Manufacturers Institute, Inc., NY, 1973.
                                              309

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10. L. W. Little, J.  C. Lamb III, M. A. Chill-
   ingworth, and W. B. Durkin, "Acute Toxici-
   ty of Selected  Commercial Dyes  to  the
   Fathead  Minnow  and  Evaluation  of
   Biological Treatment for Reduction of Tox-
   icity," Proceedings of the 29th Industrial
   Waste Conference, Engineering Bulletin
   of Purdue University, Engineering Exten-
   sion Series No. 145, p. 524,1974.
11. J. W. Ericson  and  L.  W. Little, "Ap-
   plicability  of ATP  Measurements  for
   Determination of Dye Toxicity in Short
   Term Algal  Assays," J. Elisha Mitchell
   Scientific Soc., Vol. 92, No. 2, 1976.
12. L. W. Little, and J. W. Ericson, "Biological
   Treatability of Wastewaters from Textile
    and  Carpet  Dyeing Processes,"  Pro-
    ceedings of the 8th Mid-Atlantic Industrial
    Waste  Conference,  January  12,  1976,
    Newark, DE, pp. 201-216.
13.  T. Crowe, C. R. O'Melia, and L. Little, "The
    Coagulation  of  Disperse  Dyes,"  Pro-
    ceedings  of the 32nd Purdue Industrial
    Waste Conference  (May 1977), Ann Arbor
    Science, Ann Arbor, MI, pp. 655-662, 1978.
14.  R. Goodman, "Evaluation of the ADMI Pro-
    cedure for Measuring Color in Textile Dye-
    ing Wastewater,  Master's report (under
    the direction of L. W. Little), Department
    of Environmental Sciences & Engineering,
    University of North Carolina, Chapel Hill,
    NC, 1977.
                                          310

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  USE  OF BIOASSAY SCREENING TECHNIQUES FOR NPDES* PERMITS

                               W. H. Peltier, L. B. Tebo, Jr.t
Abstract

  Effluents limits placed in  the NPDES per-
mits do not take into account the presence of
byproducts,  degradation  compounds,  unre-
ported compounds, the synergistic  action of
these compounds, nor receiving water charac-
teristics in the control  of toxicity to  aquatic
organisms. In order to evaluate the toxicity of
complex effluents being discharged to fresh-
water and saltwater environs, EPA Region IV
is including,  in  selected  NPDES permits, a
bioassay  screening requirement. This  require-
ment is in the form of periodic 24-h acute static
toxicity tests which  result in a pass  or fail
criteria.  The criteria are based on 50  percent
survival of selected standard test organisms
exposed to a single percent effluent volume.
Failure to meet the criteria results in requiring
the permittee to conduct additional  studies
such as: acute and/or chronic flow through tox-
icity  testing,  receiving  water  biological
monitoring,  bioaccumulation studies,  waste-
water persistence studies, flavor impairment,
and avoidance studies. The bioassay  screening
requirement is  not intended to  replace  the
traditionally required parameters  in a permit
such as BOD, COD, and chemical-by-chemical
limitations, but  is an  additional compliance
parameter.
   One of the goals of the 1977 Clean Water Act
states that, "it is  a  national policy that the
discharge of toxic pollutants in toxic amounts
be prohibited." Historically in Region IV, the
U.S. Environmental Protection Agency (EPA)
has been conducting bioassays  at facilities
discharging complex wastewater to a receiving
water. These bioassays  were  conducted to
evaluate  the lethality of complex  wastewater
discharges to selected aquatic organisms.
   Present EPA  regulatory programs to con-
trol the discharge of toxic wastewaters em-
  *National Pollutant Discharge Elimination System.
  'U.S. EPA, Region IV, Surveillance and Analysis Divi-
   sion, Athens, GA.
phasize specific limits on individual chemicals.
For chemicals of known toxicity and for which
economical methods of identification and quan-
tification are  available, the specific chemical
limit  is unquestionably  a  most efficient ap-
proach.
  Unfortunately, the individual chemical ap-
proach  provides no  control of the tens-of-
thousands of chemicals for which toxicity data
are lacking or inadequate and chemical charac-
terization techniques are unavailable or pro-
hibitively expensive.  The individual chemical
approach also provides little means for con-
trolling the toxicity of wastewater discharges
where toxicity is a function of the mixture of
chemicals in the wastewater. In this situation,
toxicity testing  must be used to control the
discharge of toxicants.
  A measure of the lethality problem of com-
plex wastewater discharges is  indicated by
Region  IV's experience  with 64 onsite  96-h
flow-through  toxicity tests  where 49 of the
discharges  were lethal  to  selected  aquatic
organisms. Twenty-seven  of fifty  complex
wastewater discharges tested at  the  EPA
Athens, Georgia  laboratory using 96-h static
toxicity tests were lethal.
  The chemical analyses of many of the waste-
waters tested  for toxicity disclosed the inade-
quacies of the chemical by chemical approach
in protecting the aquatic community. Up to 50
unpermitted chemicals have been detected in a
single wastewater source being discharged to
the receiving water. Of course, many of these
chemicals were  byproducts  on degradation
products of which very little is known regar-
ding their toxicity.
  It is apparent that regulatory agencies must
have a means of controlling the discharge  of
toxic complex wastewaters and the innumer-
able pollutants of unknown toxicity. The most
direct  approach  to  this  problem  is  estab-
lishment of limits based on the response  of
aquatic  organisms  to  potentially  toxic
wastewater discharges.  Therefore,  EPA  is
developing  a program for the second round of
NPDES permitting  whereby  toxicity limits
                                            311

-------
based on the lethality  of the  wastewater to
aquatic   organisms is  made  a part  of the
NPDES  permit. The  permittee would  be re-
quired to conduct toxicity screening tests at
the wastewater concentration (percent  waste-
water) specified as a  toxicity limit in the per-
mit.
  The screening test would  be based on a
single wastewater concentration utilizing 24-h
acute static tests. A monthly testing frequency
would be required  using a selected  test
organism.  The selected organisms would be
based  on   whether  the  wastewater  is
freshwater or saltwater. If the wastewater is
fresh, then  either  the  fathead  minnow
(Pimephales promelas) or water flea (Daphnia
magna or pulex) will be used. On the  other
hand, if the  wastewater  is saltwater, then
either the  sheepshead  minnow (Cyprinidon
variegatus) or mysid  shrimp (Mysidopsis sp.)
would be used as the test organism. The pro-
tocol for the screening test  is in the EPA
publication Methods for Measuring the Acute
Toxicity of Effluents to Aquatic Organisms
(ref. 1).
  The toxicity limit calculation for the single
test concentration is based on the following
formula:
                                                                    ill result in a safe concentra-
              LC
              LC
  where:
                        AFi
 LC
    50
  we
  AF =
          the concentration (expressed as per-
          cent)  at  which the  wastewater  is
          lethal to  50 percent  of the  test
          organisms,
          receiving water wastewater concen-
          tration (expressed as percent) at the
          7Q10 flow in a river, or for a lake or
          estuary,  the concentration at the
          boundary  of the  mixing zone, and
          numerical value  which, when ap-
          plied to acutely toxic concentration
  +If the result of this calculation exceeds 100 percent for a
river, then the screening toxicity test must be conducted on
undiluted (100 percent) wastewater with a 90 percent or
greater  survival rate required of the  test organisms.
  §If the permittee can demonstrate that the wastewater
toxicity is not persistent and/or bioaccumulative in the en-
vironment, then an application factor of 0.05 can be used,
otherwise an application factor of 0.01 is utilized in the for-
mula.
                                                            tion.
                                                     Example 1   Wastewater discharged to a
                                                   river via a diffuser system to promote rapid
                                                   mixing.
                                                       Data required  by permit writer are as
                                                   follows:
                                                         Mean daily wastewater flow = 2 mgd
                                                         7Q10  = 270 mgd
                                                         Application factor  =  0.01  for a  per-
                                                         sistent wastewater.
                                                       Toxicity limit:
                                                                     QW
                                                               > QW + QR
                                                                          —
                                                                             X  100
                                                                         AF
                                                         LC50 ^
                                                                  2 + 270
                                                                            X  100
                      0.01

             ^  74 percent.

  Thus, in conducting the screening test, the
permittee would use 74 percent wastewater by
volume and 26 percent dilution water.
  Example 2 - Wastewater discharged to a
lake or estuary via a diffuser  system to pro-
mote rapid mixing.
  Data required by permit writer is as follows:
  •Permittee is required to display on a map
  isopleths  of  wastewater  concentrations
  occurring in the receiving water (Figure 1).
  •Numbers of hectares within each isopleth.
  •Ecologically  and  economically  important
  resources in the receiving water are  to be
  identified for each isopleth.
  •Application factor to be used for persistent
  wastewater is 0.01.
    Toxicity limit:
                                                         T _,   .  mixing zone boundary
                                                         L,Csn £  	———	

                                                                  0.25 ^
                                                           '50

                                                         LC50 ^

                                                                             Percent-
                                                     Thus, in conducting the screening test the
                                                   permittee would use 25 percent wastewater by
                                                   volume and 75 percent dilution water.
                                                     Failure of a screening test must be reported
                                                   in writing within 5 working days after the test
                                              312

-------
is completed. Within  90 days after any test
that caused a lethality of 50 percent or more,
the permittee must develop  and submit  to
EPA Region IV a plan and schedule for reduc-
ing the toxicity  of the wastewater to a safe
level. Once  the toxicity  is  reduced  to the
NPDES permit toxicity limit, a return to the
monthly screening toxicity tests are to be in-
itiated.
  In  summary,  the screening toxicity  test
described in  this paper is an additional ap-
proach being used by EPA Region IV in the is-
suance of second round NPDES permits. Both
specific limits on known toxic chemicals as well
as screening toxicity tests will be used to con-
trol toxicants discharged into our receiving
waters.

REFERENCE

1.  U.S. Environmental Protection Agency,
   Methods for Measuring the Acute Toxicity
   of Effluents to Aquatic Organisms, U.S.
   Environmental Protection Agency,  En-
   vironmental  Monitoring  and Support
   Laboratory, EPA 600/4-78-012, p. 52,1978.
                                              313

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Session VI:  ENERGY AND MATERIALS CONSERVATION




         John R. Rossmeissl, Session Chairman
                    315

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    RECLAMATION OF WARP SIZES USING THERMAL PRECIPITATION

                    Warren S. Perkins, Robert P. Walker, Leo J. Hirth*
Abstract

  A novel method for size reclamation based on
precipitation of the size material by heating
the desize washwater is reported. The method
uses hydroxypropylatedcellulose (HPC), which
is soluble in cool water but insoluble in warm
water. Separation of the thermally precipitated
hydroxypropylcellulose  from  water  is  dis-
cussed along with the applicability of the HPC
as a warp size and the economics of the proc-
ess.

INTRODUCTION

  Size materials constitute a major portion of
the biochemical oxygen demand (BOD) and dis-
solved sol:ds in the wastewater from woven
fabrics finishing processes. The BOD contrib-
uted by desizing starch-sized fabrics may be 45
percent or more of the  BOD load from the fin-
ishing plant. The BOD load from desizing may
be lowered by using synthetic sizing polymers
such as polyvinyl  alcohol  (PVA) or carboxy-
methylcellulose (CMC) either alone or  in mix-
tures with starch. However,  these  synthetic
polymers do not easily biodegrade and remain
dissolved in the finishing plant wastewater.
  A process to recover and recycle warp sizes
probably has the potential to  lower  the BOD,
COD, and dissolved solids  in textile finishing
plant effluents  more  than any other single
change in textile  processing.  Such processes
have been the subject  of much research and
development work in recent years. The follow-
ing are specific examples of approaches to size
reclamation:
  • Reclamation of carboxymethylcellulose by
    chemical precipitation from  the  desize
    wastewater has been studied but not com-
    mercialized.
  • Recovery of polyvinyl alcohol by chemical
  'Department of Cc-xtilc Engineering, Auburn Univer-
  sity, Auburn, AL.
    precipitation has also been subject to in-
    vestigation.
  • Studies of recovery of warp sizes using
    solvent sizing and  desizing have  been
    made,  and a solvent sizing and desizing
    system has been developed by two Italian
    machinery companies.
  • Recovery of PVA by ultrafiltration of the
    desize wastewater is now being done com-
    mercially.

  The tremendous interest of the U.S. Textile
Industry in the reclamation of warp sizes is un-
derstandable since the economic outlook for
such a development is as favorable as are the
environmental considerations. The size mate-
rial adds no value to the fabric. It is  applied to
the yarn in slashing to improve the efficiency
with which the yarn can  be woven into fabric.
It is normally removed  in  desizing and  dis-
posed of in a wastewater treatment facility.
Therefore,  the size material itself adds to the
cost of fabric production. A process for recla-
mation of the size material would prove profit-
able to the  textile mill if the cost of reclaimed
size is lower than that of virgin size.

PRINCIPLE OF SIZE RECLAMATION USING
THERMAL PRECIPITATION

  The size reclamation process that is the  sub-
ject of  this paper uses a size selected from a
group of polymers having the unusual property
of being soluble in water at room temperature
but insoluble in water at some higher tempera-
ture. Hydroxypropylcellulose (HPC), on which
most of the research work at Auburn has been
based, is such a polymer. HPC, which is soluble
in water at room temperature, becomes almost
completely  insoluble  in  water  above about
45° C. Therefore, precipitation of HPC from
desize  wastewater can  be  accomplished by
merely heating the desize wastewater to above
45° C. A schematic diagram of the desizing and
recovery system being studied is shown in Fig-
ure 1.  Washing of the HPC from  the fabric
takes place in water  at  a temperature below
40° C. The  desize water  containing HPC  at  a
                                            317

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        Fabric in
*^\
                                                   ^_ Fabric out
       Desize Washwater
         (1.01 size)
                                   Desize
                                Water at < 40
                                                  Reclaimed Water
                                                                           Fresh Water
                                                                        (approx. 101 of total)
       Filter
    for fiber
   and insolu-
   ble impuri-
   ties.
                                          Cooling
                                            of
                                         reclaimed
                                          water
Heat to
• 45°C
                                           Water/Size
                                           Separator
                                 reclaimed
                                                          water
                                                 Concentrated
                                               <|r size to slasher
                                                   (8-101)
                        Figure 1.  Schematic of desize and recovery system.
concentration of 0.5 to 1.5 percent is filtered to
remove insoluble  impurities  and  heated  to
above 45° C to precipitate the HPC. The precip-
itated HPC is then separated from most of the
water. The  HPC redissolves when cooled  to
yield a solution that can be reused in slashing.
The recovered  water can be cooled to below
40° C   and  reused  in  the  desize  washer.
Hydroxypropylmethylcellulose  (HPMC)  also
exhibits the thermal precipitation phenomenon
and can be used in the process.

DESIGN OF WATER/HPC SEPARATOR

  The  heart of the reclamation  system  being
studied is the separation of the precipitated
particles of HPC from most of the water to ob-
tain a size solution of sufficient concentration
to reuse in slashing. Separation  of the precip-
itated  HPC  by  filtration and  centrifugation
have each appeared feasible in the laboratory.
However, the most promising separation tech-
nique tested was settling by gravity.
                            Thermally precipitated HPC separates from
                          water as a colloidal dispersion. The HPC par-
                          ticles have a negative zeta potential and can be
                          made to coagulate and settle rapidly by adding
                          a cationic agent. A  variety of these settling
                          assistants were tested for their benefit to the
                          HPC recovery process. Ions such  as Na + ,
                          CA "*" 2, and Al+ 3 cause thermally precipitated
                          HPC particles to  coagulate and settle rapidly.
                          The coagulating effect  increases with higher
                          cationic charge and with increase in concentra-
                          tion of cations in the concentration ranges used
                          in this  work. Cationic polyelectrolytes may
                          also be used to enhance the settling of HPC
                          particles in water. The most useful settling
                          assistant used in  this work was aluminum sul-
                          fate. One-half to one  percent aluminum sulfate
                          based on the weight of the HPC is sufficient to
                          cause rapid settling  of thermally precipitated
                          HPC in water. This level of aluminum sulfate
                          does not affect the solubility of HPC in water.
                          When the water temperature is below  45° C
                          the HPC is readily soluble in water containing
                                             318

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    500
    400

   300
   200
    160


3  120 -I
•M
I
-P
•p
Q)

    80
    40  ,
              2     4     6    8    10    12   14    16  18   20     22
                                     Time   '(mmites)

                 Figure 2.  Settling rate of precipitated HPC at 50° C.
                                       319

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1 percent aluminum  sulfate on the weight of
the HPC. Analysis of the recovered HPC (con-
centrate) and  the recovered water revealed
that the aluminum  ions concentrated them-
selves in the recovered HPC. That is, the alum-
inum ions become a part of the reclaimed HPC
solution and addition of aluminum to the desize
washwater is necessary only when virgin HPC
is used. Several cycles of use and reclamation
of HPC can be run  without any additions of
aluminum sulfate after the initial run.  Studies
of physical properties of films of HPC revealed
that 1 percent by weight of aluminum sulfate in
the HPC caused no deterioration of properties
of the material.
   Figure  2 illustrates  the settling  rate  of
precipitated HPC in  water.  The volume of the
test solution was  450 ml and it contained 4.5 g
of HPC and 0.030 g of aluminum sulfate. In 15
to 20 minutes virtually all of the HPC had set-
tled into the bottom 45 ml of the container, a
500-ml graduated  cylinder. Experiments of this
type have yielded solutions containing up to 30
percent by weight of reclaimed HPC at typical
recovery levels of 85 to 95 percent of the HPC
in the desize washwater.

UTILITY OF HPC FOR SIZING

   The economic success of a textile greige mill
depends to a  large  degree  on  the efficiency
with which yarns may be woven into fabric.
Therefore, the performance of the size mate-
rial in protecting  the yarn is of utmost impor-
tance. Since HPC  has not previously been used
as a warp size, an  important aspect of the work
that is being done at Auburn is the evaluation
of the performance  of HPC as a warp size.
Three types of studies regarding the perform-
ance of HPC as a warp size are in  progress.
They are:

   1. Properties of films of HPC.
   2. Properties of yarns sized with HPC.
   3. Weaving performance.

The primary (and  sometimes only) ingredient
in a size formulation is a film-forming agent.
Studies of size materials in  the form of films
allows evaluation of the effect of various ad-
ditives and contaminants on material proper-
ties that may affect performance of the size
material. Tensile strength and  elongation of
films of HPC, PVA, and CMC are compared in
Table 1. The strength of HPC is similar to that
of CMC, which is considerably lower than that
of PVA. However, the strength of HPC is ade-
quate for warp sizing. PVA  is  sometimes con-
sidered too strong for fine yarns and can cause
problems if it does not split easily enough at
the slasher lease rods. The elongation of films
of HPC is intermediate between that of CMC
and PVA, both of which are  successfully used
as warp sizes. Other properties of HPC such as
adhesion  to  various fibers;  resolubility in
water  during  desizing;  and stability to me-
chanical action, chemical action, and moderate
heat in use appear to be adequate for the recla-
mation process.
  Typical results  of tests  of  properties of
yarns sized with HPC are shown in Table 2 and
compared to properties  of  yarns sized  with
PVA. The effect  of HPC  on the breaking
strength and elongation of the polyester/cotton
yarns was about the same as  the effect of PVA.
The elongation of the sized yarns was about 2
to 3 percent lower  than that of unsized yarns.
The strength of the yarns increased by about
15 percent as a result of sizing with either PVA
                           TABLE 1. PROPERTIES OF HPC*, CMC* and PVA*

Property
Tensile strength (psi)
Elongation at break (%)

PVA
3,100
200
Materials
HPC
800-1,300
75

CMC
1,000-1,500
7
               *Hercules, Inc., Klucel J.
               * Hercules, Inc., Warp Size Grade CMC.
               *Du Pont, Elvanol T-25.
                                            320

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                        TABLE 2. PROPERTIES OF 36/1, SO/SO POLYESTER/COTTON
                                  YARNS SIZED WITH PVA OR HPC

Sample description
Unsized control
PVA with lubricant
HPC

Size concentration
in formulation
—
10
10

Break factor
(oz. x counts)
432
500
501

Elongation
(%}
13.4
10.7
11.0
Abrasion
Resistance
(#cycles)
20
2,000+
1,200
or HPC. The abrasion resistance of the yarns
improved  drastically as a result of sizing with
HPC or PVA. These yarns must withstand at
least  300  to  400  abrasion  cycles  to  be
weaveable.  The physical properties of yarns
sized  with  HPC  are  adequate  for weaving
loosely  constructed  fabrics, but the abrasion
resistance is borderline for tightly constructed
fabrics such as sheeting.

ECONOMICS OF SIZE RECLAMATION

  Estimates of the economics of reclaiming
HPC are shown in Table 3. These figures are
based on settling the HPC in large tanks. Also
shown are  cost figures on an ultrafiltration
system  for  PVA  recovery and some costs for
use of conventional desizing followed by waste-
water treatment.
 The initial capital investment for an ultrafil-
tration  reclamation  system for 272,232 kg
(600,000  pounds) of  fabric per  week is esti-
mated to be $805,000 while that for a thermal
precipitation system is $262,600. Annual oper-
ating costs including labor, utilities, insurance,
taxes, maintenance materials, and depreciation
total  $249,500 for ultrafiltration and $82,850
for thermal precipitation. The cost of energy
for running a thermal precipitation recovery
system will be about  $54,000 per year less than
that required for a conventional desize process
or an ultrafiltration  system because of  lower
water temperature requirements. The cost of
size for  a  thermal  precipitation system is
$507,500  annually, considerably  higher  than
the $460,000 for a conventional system and the
$252,000  for an ultrafiltration system  using
PVA. Total annual operating costs for a ther-
                  TABLE 3. ECONOMICS OF SIZE RECLAMATION (BASIS IS 600,000 POUNDS
                                      OF FABRIC PER WEEK)

Initial capital investment
Annual operating costs*
Energy for hot water
Size materials
Wastewater treatment §
Total annual operating costs
Ultrafiltration
$805,000
249,500
75,000
252,000f
20,000
$596,500
Thermal
percipitation
$262,600
82,850
21,000
507,500*
14,000
$625,350
Conventional
—
—
75,000
460,000
198,000
$733,000
            •Excluding size material costs, cost of energy for hot water and cost of wastewater treatment.
            t Based on 20 percent loss of PVA.
            *Base' on 15 percent loss of HPC.
            S Estimated for 1983.
                                              321

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mal precipitation system are estimated to be
slightly higher than for ultrafiltration but less
than conventional desizing systems.

ACKNOWLEDGMENT

  The  work reported  in this paper was per-
formed under the partial sponsorship  of the
U.S. Environmental Protection Agency through
Grant  No. R 805128-010. The work was per-
formed by the Auburn University Department
of Textile Engineering in cooperation with Ala-
bama Textile Education Foundation through
the Auburn  University Water Resources Re-
search Institute with assistance  from the Au-
burn University Engineering Experiment Sta-
tion. This paper covers work  completed by
August 31, 1978. The project is scheduled for
completion by December 20, 1979.
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    AN INDUSTRIAL WASTEWATER RECIRCULATION SYSTEM FOR
                  THE  FIBROUS GLASS TEXTILE INDUSTRY

                                S. H. Thomas, D. R. Walch*
Abstract

  In  this presentation  the  concept, develop-
ment, and installation of an industrial waste-
water recirculation system for the fibrous glass
textile industry will be addressed.

INTRODUCTION

  For those not familiar with  fibrous glass
processes and products, I'll briefly describe
them. At Owens-Corning  Fiberglas facilities,
the process begins with the mixing and feeding
of raw batch to a furnace. Furnaces for textile
processes are either gas- or oil-fired and are of
the regenerative or  recuperative type. The
molten glass from any of the furnaces drains in-
to a forehearth and through a bushing. Bush-
ings are of a platinum material with a number
of orifices in various  sizes to satisfy the end
product. The fibers have either binders or sizes
applied and  are then cured. The final products
of our process include fibrous glass in forms for
further manufacture,  fabrication, or in many
instances, for finished product.
  Owens-Corning, product-wise,  is essentially
divided into four categories: textile, insulation,
roofing, and special products. Owens-Corning
manufactures  everything from  a fiber  one-
tenth of one-thousandth of an inch in diameter,
to bathtubs and  huge underground gasoline
storage tanks, to the new 105-acre Fiberglas
fabric roof for the Haj Terminal at the Jeddah
International Airport in Saudia Arabia. How-
ever, this report will be limited to discussion of
textile products as manufactured at our Ander-
son, South Carolina, facility.
  To start my story,  I will  have to take you
back 20 years to 1958 when I first started to
work with Owens-Corning Fiberglas and the in-
dustrial wastewater systems of that era. Like
most other  industries of that time, we were
  •Owens-Corning Fiberglas Corporation, Toledo, OH.
busy trying to treat industrial wastewater for
suitable discharge. My first industrial waste-
water problem was finding a suitable manner
to discharge approximately 4,000 gallons j er
minute of process water with a high BOD and
COD, and with suspended solids and phenol in
concentrations of up to 600 ppm from an insula-
tion facility.
  The  first step was to look for methods of
treatment  available. At  that time little was
known about the treatment of phenols and no
information was  available from  any fibrous
glass facilities either in the United States or
throughout the world. We started from scratch
using the famous old method of trial and error.
By 1960 I had developed an extended aeration
system for the degradation of the phenol  as
well as the other parameters listed. Phenols
could be reduced from 1,000 ppm to about 2
ppm, which was a safe limit for fish as deter-
mined  by bioassay tests. I recognized at this
time that this system would provide me with
about 10 years of breathing room before find-
ing alternate methods to further  reduce the
discharge of contaminants into the waterways
of our nation. In that same year, 1960,1 also in-
herited the four textile operations in the com-
pany. It  might be of interest at this point to
mention that in 1960 Owens-Corning had nine
operating facilities in seven States. Today we
have 90 facilities in 27 States.
  Listening to the thoughts and ideas being
mentioned at that time in Washington, DC, and
State capitols convinced me that  all our  ini-
tiative should be  directed toward total recir-
culation of all industrial wastewater within our
corporation. It was an idealistic goal, but it was
worth a desperate effort. The benefits at that
time seemed justifiable and, of course, today
are stupendous.
  The textile industrial wastewater treatment
systems  of that era consisted of primary and
secondary systems for the combined sanitary
and industrial wastewater. These systems ade-
quately reduced the contaminants for safe dis-
cha -ge to waterways. At this time, we were us-
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ing starch sizes for our textile products; this
was many years before we started using exotic
chemicals for  sizes to meet product uses and
qualifications.
  Being more familiar with the insulation prod-
ucts' wastewater from previous work, this ap-
peared to be the area of greatest concern in the
future. I directed my attention to improving
the insulation products' wastewater systems.
With this strong urge and my own headstrong-
ness, I quietly developed an initial concept for
a totally recycled system.
  In the next 8 years I had to listen to the "No,
it won't work," etc., etc., but continually tried
to find answers  and ways around the  ever-
rising problems. By 1968, we turned the valves
and started our first totally recycled industrial
wastewater system at  Barrington, New Jer-
sey. I might add at this point that during these
trying years top-level management was behind
me, helping wherever necessary.
                        In  1969,  modifications  were made  to two
                      other insulation facilities in Texas and Georgia,
                      and these facilities converted to totally  recir-
                      culated  industrial  wastewater systems (See
                      Figure 1). One new  facility  has been added
                      since then and it too is on  total recycle, as will
                      all  other new  facilities of  this type  in the
                      future. Our record on insulation facilities as of
                      today  is five  plants on total recycle and two
                      more under construction, both to be on  recycle
                      systems by 1980.
                        With the taste of success at our insulation
                      plants, we directed our attention to the textile
                      facilities. The first step for any process  to be
                      adaptable to a totally recycled system is to con-
                      vince management, and particularly plant man-
                      agement, that you can develop the concept into
                      a   workable  system,  with  the  necesssary
                      justification.  Once this is accomplished, all
                      other steps are left completely up to the  tech-
                      nical competence of the team working on the
    City W = 92
                       Process Uses
                                          S = 204
                                          W = 204
                       Cooling Uses
                           S
                        146.3
                     Losses to
 W
 85.6
Atmosphere
                                                          S = Summer Flow, GPM
                                                          W = Winter flow, GPM
                                              Reclaimed Water to Distribution  S = 259.3
                                                                       W = 198.6
                         Figure!.  Overall water balance for recirculation.

                                              324

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project. The second step is to reduce any and
all waste flows at the facility so that the de-
mand for water is greater than the discharge.
In the case of the Anderson textile facility, it
was necessary to devise piggyback systems, or
higher quality water usage discharged to lower
quality  water  usage  systems,  before final
discharge to the treatment facilities.
  Once the demand and supply balance had
been established, it was necessary to analyze
the final effluent as well as  determine  the
parameters required for water usage in  the
various systems. This is a very crucial phase
since complex facilities have discharges where
the parameters can vary frequently. Usually a
long-term sampling program is required to es-
tablish the basis for treatment as well as reuse.
Generally there are one or more systems that  -
have more critical requirements for treatment
than all others. At Anderson one such system
existed.
  At the  Anderson  facility  it  was  found
necessary and desirable to develop the treat-
ment required to satisfy  this  system, then
design a small pilot trial including actual use of
the field conditions to provide a more reliable
system. At Anderson the critical water usage
system  was the cooling of a heat exchanger
which in turn cooled the glass fibers as they
were formed (See Figure 2). The temperature
of the glass fibers at the tip of the heat ex-
changers is approximately 1,800° F. This must
be significantly reduced before the sizing can
be  applied.  The outside temperature of the
heat exchanger ranges from 150° to 190° F.
The cooling water flow through the heat ex-
changer is regulated to maintain an exit water
temperature of approximately  100° F. It is
                           Reclaimed Water
                            Makeup
                                    iupply
                                    Pump
         Storage Reservoir
          (4300 Gallon)
         Gas Chlorlnatlon
              i
            Carbon Adsorption)
          Sand
            Existing
           Treatment
            Facilities
                           Cooling System
                             Cold Well
                            (1200 Gallon)
                                                          Five Manufacturing Machines
                                                          (Approximately 12 coollg loops per machine)
                   Figure 2. Schematic flow diagram - final pilot cooling system.

                                               325

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under this hostile environment that the cooling
water and heat exchangers must function prop-
erly if the high integrity of the glass fiber is to
be maintained. This meant that parameters of
the reuse water for such a system had to be
such that there could not be physical separa-
tion that would cause buildup on the heat ex-
changers which in turn would greatly affect
the process—if not shut down the process com-
pletely.  The hot  water would  then pass
through cooling  ponds and again no physical
separation could take place.  The preliminary
design of the treatment included the primary
and secondary systems that already existed
plus sand filtration,  carbon adsorption  for
organic removal, and  finally, disinfection. To
make the whole treatment  workable,  it was
necessary to retrace some of our steps, and im-
prove and optimize the primary and secondary
phases. When this was accomplished, the pri-
mary and secondary phases were optimized in
the field, based  on the  lab  bench studies. A
properly sized sand filter was designed and in-
stalled to handle 10 to 20 gallons per minute. A
carbon column of like size was also installed. Of
course, all of these steps were reviewed on a
constant basis with the plant personnel and
more  particularly  the production  personnel.
This type of coordination makes the plant a
part of the whole process and the desire for a
total recycle system "rubs off on its key per-
sonnel.
   The pilot system operated off the effluent
from the secondary or  activated sludge sys-
tem. It was previously determined by the pro-
duction and management personnel that the
system would have to operate successfully for
a period of at least 120 days. As always, there
are bugs to work out in any new system. This
was so at Anderson. It was necessary to oper-
ate the pilot system for 210 days instead of 120
days.
   The first plateau had been reached. The pilot
system proved practical and feasible — confirm-
ing our ability to construct a full-scale system
to satisfy the most critical situations as well as
all the variables at a complex manufacturing
facility.
  The next step, of course, is to collect all the
data accumulated  to  date  including  param-
eters, preliminary design drawings, cost esti-
mates, approvals,  comments, benefits, justi-
fication, etc., and present this to management
"for approval of funds for construction. It usual-
  ly is necessary to obtain approvals from pollu-
  tion control agencies.
     I found it desirable to locate a consultant at
  the  beginning to work with  the corporation
  personnel throughout the project as required.
  This keeps  the consultant up to date so that
  when  work is required,  no  time  is  lost in
  reviews. Owens-Corning Fiberglas had review-
  ed consultants and their personnel during the
  concept  stage  and  selected Engineering
  Science, Inc., of the Atlanta office, to work with
  us frequently throughout the project. They
  performed such duties as assisting  on  the
  water  balance, assisting on analysis of param-
  eters,  developing the pilot system from con-
  cept, operating  the pilot system, collecting
  data, report writing, final design, equipment
  specifications, and studying and evaluating as
  required. All other work was accomplished by
  corporate staff and plant personnel.
     Once all  the approvals and funds were
  received, it  was necessary to convert all the
  data into a final design, develop the equipment
  specifications, purchase materials and equip-
  ment, let contracts, and begin the construction
  work. This phase of the work is generally pro-
  cedural; however, there are always questions,
  changes, and modifications to be taken care of
  so that the final system is workable.
     The design work was  completed in March
   1977 and the  actual fieldwork started at the
   same  time. There were more problems than
   ever anticipated during this phase due to the
   use of newly developed materials for the first
   time ever in  such a project.  The  major com-
   ponents were completed  by September 1977.
   Those phases  of the system were put into oper-
   ation;  however,  recycling was never really ac-
   complished until May 1978 and was on an inter-
   mittent  basis. There were many additional
   problems  encountered  during  this phase,
   mainly because the primary and secondary sys-
   tems'  efficiency was greatly  deteriorated by
   the cold weather during the fall and winter of
   1976 and 1977. At a time in the spring of 1977
   when  the systems should have snapped back,
   nothing  happened. It was necessary to go all
   the way back to step one and concentrate on
   the primary and secondary phases of the opera-
   tion. It  took  from  the spring of  1977 until
   January 1978  to define the problems and make
   the corrections required.  During  this  time
                                             326

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many  investigative  techniques  were  per-
formed including:

  *  review ol chemical usage dn production,
  »  Jar testing of coagulants,
  *  biological treatabiHty studies, and
  »  nutrient balance.

A review of production fecords and chemical
usage indicated that not  only had the  cold
weather affected the treatment operations, but
also some changes in chemical usage in produc-
tion (that  were originally thought to be in-
significant) had a combined  effect. However,
after a thorough review we still could not fully
account for the  poor treatment  efficiencies.
Therefore, jar tests  were performed on the
primary clarifiers to reduce colloidal emulsion
carryover. Earlier studies, performed during
the pilot stage of the recycle system, indicated
that primary  colloidal  carryover  would pass
through further treatment, remaining, in the
tertiary-treated effluent. As it turned out, the
jar tests were successful at developing a chem-
ical addition scheme  which could  remove the
suspended solids found  in the raw wastewater.
Once this  phase of the system was properly
corrected, the loading on the secondary system
was reduced.
   Biological treatability  studies  were  per-
formed next  on the  "improved"  primary ef-
fluent. These studies  indicated a nutrient defi-
ciency  existed  as a result  of the  shift  in
chemical usage  during  production. Therefore,
supplemental nutrient addition  was  imple-
mented. The results  were  astounding—the
most significant to date. With each incremental
addition of nutrient, secondary effluent quality
improved. In  addition, analyses  were  per-
formed on the secondary effluent to monitor
and control  the nutrient  addition.  These
modifications enabled the primary and second-
ary systems to perform as they had during the
original pilot design period. Efforts were made
to further continue these improvements. These
  Huded modifying the sludge wastage  pro-
cedure, wasting from the aeration tanks rather
than the usual approach «f wasting from the
return  sludge line.  This allowed the plant
operators  to more «asilf control the sludge
wastage.
   The  wasted  sludge -was  piped into the
aerated equalization  tanks to further extract
any usefulness "f this biological sludge. The in-
tent was to utilize the sludge in equalization
tanks as a roughing system to reduce the im-
pact of the raw waste on the main body of the
secondary system. Our experience in defining
and solving problems in this system serves as a
resource upon which future projects can be ap-
proached with new insight and greater oppor-
tunity for achievement.
  At this point in the presentation, it is best
for me to describe  our total system (See  Fig-
ures 3 and 4). The industrial wastewater is col-
lected from all of the operations at the facility
in a separate sewer system. Up until the time
work was started on this project, all industrial
wastewater was collected in a combined sewer
system with all the sanitary wastewater from
the  facility  (which employs  approximately
2,000 personnel).  The industrial  wastewater
enters the treatment facility through a  bar
screen and then  flows into one  of the two
equalization tanks. The flow to the treatment
plant averages 295 gallons per minute and flow
range is generally between 200 and 360 gallons
per minute. The two equalization tanks are of
capacities of 250,000 and 150,000 gallons, and
both are equipped to provide continued aera-
tion. The influent is collected in one equaliza-
tion  tank and pumped to the influent weir,
which is adjusted daily, if necessary, to control
the flow through the system. Excess water is
collected in the second equalization  tank and
continually blended. I should add that there
are three tanks with a total capacity of 55,000
gallons ahead of equalization that are utilized
to collect shock loads. This is accomplished by
cooperation and  communication  throughout
the entire product facility. When someone has
strong or other unusual wastes to discharge, a
phone  call  is made to the treatment  facility
operators and the waste  is tested for and, if
need be, collected in one of the storage tanks.
After tests are  conducted, and experience
plays an important role here,  the  waste is
treated chemically and then metered into the
treatment  system  at a predetermined  slow
rate to reduce the effect on the system.
  Once equalization has  been  accomplished
and the flow regulated  into the  system, the
water enters a chemical mix tank where ferric
chloride at the average rate of 10 ppm is added.
Caustic soda  is med to control pH, when re-
quired^
" In the flocculation tank, which is next in line,
                                              327

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    Chemical
     Factory
    "A", "B", & "D" Factories
                          •[Bar Screen ]^^^-
    Mat Lines
                     o
                      Basket
Equalization
                                                                         Flocculation
                                                                        & Neutralization
                                                                                   Betsy
                                                                                   Creek
             Figure 3.  Process flow diagram — existing wastewater treatment facilities.
an anionic polymer is added to aid flocculation,
and nutrients  (ammonium  nitrate and  phos-
phoric acid) are added if required. Wasted ac-
tivated sludge is also added at the entry of this
tank. It has been determined that the wasted
activated sludge aids in coagulation  and floc-
culation and does reduce chemical usage.
   The water is mixed and then distributed to
the five clarifiers. These five  clarifiers were
part  of the original construction and  were
utilized as they existed, thus providing addi-
tional flexibility in  the system.  The  total
capacity of the clarifiers is 44,500 gallons pro-
viding a retention rate of 2.5 hours at average
flow.  The flow from the clarifiers is  collected
and mixed with activated sludge which  is re-
cycled at the rate of 67 percent before entering
the three activated sludge tanks. Swing arm
diffusers  are used for  aeration and approx-
imately 1,000 ft3/min of air is provided  at
average flow. The effluents from these tanks
are collected and then equally distributed  to
      the three final clarifiers. These three tanks
      have a total capacity of 37,400 gallons and thus
      provide a 2.2-hour retention time at average
      flow. Activated sludge is pumped off continual-
      ly at a controlled flow and recycled to the head
      of the aeration tanks, and the wasted sludge is
      pumped back to the influent to the flocculation
      tanks. The effluent from the final clarifiers is
      measured in  a Parshall Flume and flows by
      gravity to the sand filter. The sand  filter
      design rate is 4 gpm/ft2.
        The flow is  collected in a clear well and
      pumped into one of three carbon columns. Each
      of these carbon columns is  10 feet in diameter
      and  20  feet  high with a  capacity of 20,000
      pounds  of activated carbon. The system has
      the flexibility of utilizing a lead column and a
      lag column in series, and a third column is on
      standby, ready for use. There is also a fourth
      column in the grouping that is used for new or
      spent carbon storage. The entire  carbon ad-
      sorption system  operation is  semiautomatic.
                                             328

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                                          Filter a Adiorber Backwash
 Secondary
 ClartNer Effluent
                                                 City H2o    Distribution Tank
                                                                                    To Equalization
                                                                                    Basins

rank
Ott-
Speclflcatlon
Basin



Reclaimed
Wastewater
Storage
Basin
roP
ForR



           Figure 4.  Process flow diagram - advanced wastewater treatment facilities.
The personnel have immediate control of the
system; however, valves and other operating
controls  operate  automatically  once  the
changes are started.
  The flow  from the carbon system is chlori-
nated and measured prior to discharge to the
230,000-gallon  distribution  tank.  This  clear
well is covered to protect it from any fugitive
dust and an oversow line discharges any sur-
plus treated water to a 1,500,000-gallon holding
pond. At the  present time, the water in the
holding pond is cycled through the sand filter
and  carbon  adsorption system before reuse;
however, a study is underway to determine if
this water could be used directly as makeup in-
to the distribution tanks. It may be necessary
to cover the entire pond or a portion of it for
protection.
  The treated water is pumped from the distri-
bution tank back to all phases of product opera-
tions at the Anderson plant. This is accomplish-
ed by two pumps that maintain a minimum of
44 pounds of pr ;sure throughout the system
and at a flow  rtquired by the product opera-
tions. A completely  new distribution system
has been installed to each area of production
requiring water. The main water usage (about
60 percent) at  the facility is equipment and
area washdown. The remainder of the usage is
in the many cooling systems throughout the
plant. Cooling water is used in furnace cooling,
fiber-forming heat exchangers, room and area
cooling, and  controlling  humidity. The
blowdown for the entire system is evaporation
losses and  wind losses  throughout all  of the
operations. Any makeup water added  at the
facility over and above those few areas that re-
quire potable water  is added at  the  distribu-
tion  tank. This is done to maintain control of
the water usage at the facility and continue a
zero discharge system.
  It  may be necessary to bypass  the sand fil-
tration and/or the carbon adsorption system at
times; therefore, a second pond was installed to
collect this  water as well as sand filter and car-
bon backwash water. This pond water  can  be
pumped to the head  of the system for treat-
ment and reuse.
                                             329

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  There have been a number of problems dur-
ing the past 12 months; however, these are
slowly being reduced  through modifications
and improvements. We have had re.circulation
since May 1978 with intermittent discharges to
the stream. These were more frequent at first
but reduced to lesser amounts until October 7,
1978, when total recirculation without any dis-
charge was achieved. The system has operated
that way ever since.
  I have not made much  mention of sludge in
my presentation. It is a subject in itself with
the new regulations being promulgated under
the Resource Conservation and  Recovery Act.
We have been periodically making studies on
the sludge,  but because of the  complexity of
the system, it has been decided to utilize our
existing system until such time as we deter-
mine  that  the  water treatment system has
been stabilized. Then we will make a compre-
hensive study of the total sludge problem and
develop,  design, and install the facilities  re-
quired to properly meet all regulations.
  The present sludge system includes an auto-
matic drawoff system  from each of  the five
clarifiers. This sludge is pumped to an aerobic
digester  with a capacity of 230,000 gallons.
Digested sludge is  drawn from the  digester
and deposited in a sludge lagoon. Supernatant
from  both  the  digester and  the lagoon is
pumped  back to the equalization  tanks. As
mentioned previously, wasted activated sludge
is also pumped to the hr rl of the  treatment
system.
   It is impossible to delve into all the details
for such a system as is operational  at the An-
derson facility. To discuss any one of the spe-
cific phases  is  a full presentation in  itself;
therefore, I have attempted to review the the
history of our company in the development of
zero discharge. Information on the pilot work
and all of the details are available in the report
submitted to Mr. Max Samfield, Grants Admin-
istration  Division, Industrial  Environmental
Research Laboratory, Research Triangle Park,
North  Carolina,  entitled "Preliminary  Engi-
neering  Report —Wastewater  Reuse System
for Fiberglass  Textile Industry," dated  Feb-
ruary 1977.
   The system at Anderson is presently oper-
ating with no discharge —but one week or one
month does  not prove  a state-of-the-art. We
will not be satisfied that we have developed a
zero discharge system until we get through the
winter and on to next summer without upsets,
but again, we have faith in the concept, the
equipment, and the personnel. And, we have
tasted success and are determined to make it a
reality,  thus meeting  the 1983 standards 6
years before  required to do so by law.
                                            330

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                OPTIMIZATION OF HYPERFILTRATION SYSTEM
               FOR RENOVATION  OF TEXTILE WASTEWATERS*

                                S. M. Ko and P. G. Grodzkaf
Abstract

  A computer program for design and simula-
tion of a multistage hyperfiltration system for
renovation of textile wastewater has been de-
veloped. The program is capable of practical
design, parametric simulation, and cost projec-
tion of the multistage hyperfiltration system
with tapered  innerstages. The  mathematical
model is formulated based on Sourirajan'spref-
erential  sorption and solute diffusion theory.
Experimental rejection and flux data of a test
hyperfiltration module are required as input
parameters. Empirical correlations and test re-
sults available from recent EPA-sponsored pro-
grams  are  utilized to  calculate membrane
transport parameters. Computed results for
sample cases  using cellulose  acetate and dy-
namic membranes  are presented. Various de-
sign and operating parameters are considered
in the numerical computations to show effects
of these parameters on economics of the sys-
tem. This simulation program was developed
in a general manner and is readily  adaptable
for evaluation of other reverse osmosis hyper-
filtration applications.

INTRODUCTION

  Hyperfiltration (also termed reverse osmo-
sis) as a textile wastewater treatment and ren-
ovation process has been studied under EPA/
IERL-RTP* sponsorship to  investigate  the
technical feasibility and the economic practica-
bility of the separation process. A recent inves-
tigation (ref. 1) of a pilot-scale hyperfiltration
facility at La  France Industries, a division of
Riegel  Textile  Corporation,  successfully de-
  *Study sponsored by the U.S. Environmental Protection
  Agency under EPA Contract 68-02-2614.
  'Lockheed Missiles & Space Company, Inc., Huntsville,
  .All.
  ^Environmental Protection Agency, Industrial Environ-
  mental Research Laboratory, Research Triangle Park,
  NC.
monstrated  the feasibility of  hyperfiltration
membranes  for the in-plant recycle and reuse
of  composite  textile  dyeing  and  finishing
wastewater. The applicability of the concept to
a variety of composite textile wastewaters has
been confirmed in a more recent study (ref. 2)
at eight  different textile mills encompassing
eight  different subcategories  of the  textile
mills point source category (ref. 3). The scope of
these studies, however, was limited to testing
and evaluating a few commercial membranes
using plant  composite wastewater and  the
mixed dyehouse effluent. Furthermore, optimi-
zation of process parameters in regard to more
favorable economics, e.g. energy conservation,
byproduct recovery, and effluent control of the
process system, were not investigated in de-
tail.
  Textile finishing  wastewater contains a
variety of chemicals depending upon the par-
ticular dyeing and finishing operations. The
types of  chemicals in the wastewater greatly
affect the performance of the membranes. The
effectiveness of membranes is also sensitive to
the temperature of the  wastewater  being
treated.  In  the interest of energy recovery,
high temperature operation of the  process is
desirable. Thus, a parametric investigation of
the separation process directed toward effi-
cient and cost-effective design of the treatment
system is required to provide the optimum per-
formance and design information essential in
the development of a full-scale system. Since
experimental investigations of these param-
eters are not practical, such a parametric study
necessitates  a theoretical analysis of  funda-
mental mechanisms involved in the hyperfiltra-
tion process  and the development of a comput-
er model of the process system. Unfortunately,
however, direct extension of general reverse
osmosis theory to mixed solute systems is com-
plicated due  to nonavailability of pertinent fun-
damental physicochemical properties of both
membranes and solutes, and possible complex
interactions  of chemicals  in such  a system.
Thus, the transport properties of solutes in the
composite wastewater must be calculated from
                                            331

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experimental flux and rejection data. Where
such data are not available, these  transport
parameters may be  estimated using empirical
correlations (refs. 4,5).

MATHEMATICAL MODEL

  The model  described  herein is  based on
Sourirajan's preferential sorption and solute
diffusion theory (ref. 6), which applies simple
boundary film theory (refs. 7,8) to obtain the
concentration polarization of the solute (ref. 9).
The effect of pressure drop due to  friction
losses and momentum changes on the perform-
ance of the system  (refs. 10,11) is included in
the model.

Membrane Model

  Consider a tubular hyperfiltration module as
shown in Figure 1. From the overall material
balance for the differential control volume, the
change in average axial velocity (u) can be writ-
ten as
          du    2
          	 = — y
          dx    r
              w
                                  (1)
where vw is the permeation velocity of product
water (permeate) through the membrane (ft/s).
Similarly, the solute material balance can be
written as
d(uCAl)
   dx
2
r
                                       (2)
                                             where CAI and CAS are the molar concentra-
                                             tions of solute in the bulk and the product, re-
                                             spectively.
                                               Now, an expression for the pressure drop in
                                             a tube in terms of friction losses and momen-
                                             tum changes may be obtained from an energy
                                             balance (ref. 10)
                                                               u2f
                                               -  —   =  CM
                                                   dx
                                            or substituting (1) yields

                                                   dP
                                                   dx
                                                        =  CM-
                   U2f
                           u  du
                                                            2vwu
                                                             gcr
                                        (3)
where C is the molar density of solution (Ib-
mole/ft3), M is the average molecular weight of
solution, f is the Fanning friction factor, and gc
is the conversion factor.
  By solving equations (1), (2), and (3) simulta-
neously, one  can compute output variables u",
P, and  CAI for the differential  volume for a
given set of dependent variables, product rate
(vw), and solute transport (CAS)- These depend-
ent variables can be related to the feed rate (u),
the system operating pressure (P), and the con-
centration of feed stream (CAI)  by transport
mechanisms of solute and permeate (product
water) through the membrane and associated
concentration polarization of solute in the high
pressure side of the membrane. To obtain the
expressions for vw and CAS, let us consider a
differential section of the tubular hyperfiltra-
tion module  shown in Figure 2. The  figure
Membrane
                       Product
                        Water
                                         r
                                                            Feed
                                                           P'CA1.5
                                                            \     \
                                                       w
                         Figure 1. A tubular hyperfiltration module.
                                                                         dx
                                                                            t    t
                                                                            Reject
                                                                                'A 2
                               Product
                                Water
                                                332

-------
                                                       Preferentially Sorb-d-
                                                       Interfaclal Region
              Concentrated Boundary
              Solution
                                                Bulk Feed Solution-
                                                Under Operating
                                                Pressure
      to
      o
      ft
      (9
      «
                       ,*

                       "A 2
              'A3
                     Concentration
                               Product Solution at
                               Atmospheric Pressure

                                 Spongy Porous  Membrane
                                 or Membrane Support
                                                   Dense Microporous
                                                   Membrane Surface
   Figure 2. Concentration profile of the differential hyperfiltration module under steady state.
            (C\2 and CA3 denote so'ute concentrations in the membrane phase in equilibrium
            with respective concentrations in the liquid phases.)
shows a schematic of steady state concentra-
tion profile of the solute across the membrane.
Due to relatively high affinity of the membrane
to solvent (water) molecules, a concentration
gradient is established in the interface region.
Adsorbed  water  molecules  are  permeated
through the microporous structure of the mem-
brane at a rate cletermined by the character-
istic  of the mer.brane and  the  pressure ex-
erted to overcome the osmotic pressure. Sol-
ute, on the other hand, diffuses to both direc-
tions from the interface. The preferential sorp-
tion of water  molecules will develop high sol-
ute concentration right in the vicinity of the in-
terface and thus develop a maximum  concen-
tration. This provides a driving force for the
solute diffusion to both directions from the in-
terface. •
  The transport of product water through the
membrane (refs. 6,9) is proportional to the ef-
                                           333

-------
fective operating pressure of the system. The
effective pressure is  defined to be the differ-
ence between the operating pressure and the
osmotic pressure exerted by the concentrated
boundary layer. Assuming a linear dependency
of osmotic pressure on mole fraction, we obtain
the following expression. (Detailed derivation
of the expression is available in reference 12.)
              NR
     „    =  —                     (4)
      "w
              AP
               C
 B
PC
             (°A2
 NB is the permeate water flux through the
 membrane (Ib-mole/ft2-s), C is the molar concen-
 tration of the bulk solution (lb-mole/ft3), A is
 the pure water permeability of the membrane
 (Ib-mole/ft2-s-psi), P is the operating pressure
 (psi), and B is the proportionality constant for
 osmotic pressure (psi).§
   The expression for CAS can be obtained by
 integrating the differential equation obtained
 from a differential solute  material balance
 within the concentrated boundary layer. A de-
 tailed derivation and solution of the boundary
 equation are presented in reference 12. The re-
 sulting expression is:
   'A3
CA3B/CP+ CS/AP        (5)
           exp — <
                  'k/S (CA3B/CP +  SC/AP)
 S is the solute transport parameter* (ft/s) and k
 is the mass transfer coefficient of the solute in
 the solution phase (ft/s).
   The set of equations (1) through (5) can be
 numerically solved to obtain output conditions
  §Note that the constant B is a very small number for or-
   ganic solutes found in textile waste waters. For such
   cases, the osmotic pressure term can be neglected and
   the flux can be written simply as: vw = AP/C.
   S is used to denote the solute transport parameter rep-
   resented by (DAM/Ka) by Sourirajan (ref. 6). DAM is the
   diffusivity of solute in the membrane phase (ft2/s). K is a
   characteristic constant  that represents preferential
   sorbability of the solute on a given membrane surface. S
   is uniquely determined by the characteristics of specific
   membrane/solute combination.
from the differential section of the module for a
given input (or initial) conditions at the inlet of
the differential section. By repeating the pro-
cedure one can compute the  overall perform-
ance of the module. The following input param-
eters are required for the performance predic-
tion:

  1. Design specifications for the  system, i.e.,
     geometry of the module;
  2. Initial process conditions at  the inlet of
     the system, that is, flow rate, feed concen-
     trations, pressure, and temperature;
  3. Physical properties of feed stream, that
     is, viscosity and osmotic pressure as func-
     tions of solute concentration and tempera-
     ture; and
  4. Transport parameters:
     a. Permeability constant (A) as a function
       of pressure and temperature,
     b. Solute transport parameter  (S) as a
       function of pressure and temperature,
       and
    c. Mass  transfer coefficient (k) as a func-
       tion of dimensionless numbers!
  Parameters 1 and 2 are defined by the sys-~
tern design specifications. The  effect of these
parameters on performance/cost can be investi-
gated and an optimum set can be identified
through  a  series  of numerical computations.
Parameter 3- can be obtained from the litera-
ture. In the event'these data  are not available
from the  literature,  experimental  measure-
ments may  become .necessary." 'The relative
magnitude of the three transport coefficients
(parameter 4) will determine the shape of con-'
centration  profile and the efficiency of the hy-
perfiltration  process. The transport coefficient
can be  obtained from a  set  of experimental
measurements of the product water rate, pure
water permeability of :the iriembrane  (normally
given by the  membrane manufacturer)!, and S01-
ute rejection efficiency/These parameters are
temperature and pressure dependent. The de-
pendencies can be .expressed by the  following
equations (refs. 13;14):         ,-

             A at

             S a  P~  exp(-7/T).
a,  /S, and 7 are constants,  which can  be
calculated  from experimental results. Empiri-
cal correlations published in the literature can
                                              334

-------
be used to calculate the solute mass transfer
coefficient (ref. 15).

Economic Model

  The  incremental cost for  producing unit
quantity of permeate water is considered to
analyze the  system economics. The cost ele-
ments contributing to the incremental product
cost are amortized  capital  cost, UCC ($/kgal),
and O&M costs ($/kgal). The amortized capital
cost is calculated based on the installed system
capital cost per unit membrane area ($/ft2 of
membrane surface). The O&M costs include
membrane replacement cost,  UMRC ($/kgal),
pumping power cost, UPP ($/kgal), and other
O&M costs,  UMOMC ($/kgal). The credits to
the product cost are  credit from recovered
water, CRW ($/kgal), and credit from recovered
energy, CRE ($/kgal). The  credit from recov-
ered chemicals is not included because recover-
ing chemicals from the concentrate usually re-
quires  additional process modifications.
  The unit incremental cost for product water,
UCPW ($/kgal), is written
UCPW = UCC  + UMRC  + UPP
          +  UMOMC  -  CRW - CRE.
The unit costs can be obtained from vendors or
actual  estimations.

 DESCRIPTION OF SYSTEM AND METHOD

   In  practical applications of the  reverse
 osmosis process, a certain multistage design
 concept is desirable to achieve desired levels of
 product recovery and  solute rejection. Three
 such concepts with tapered inner stages are
 presented in Figure 3.
   The single-stage concept employs direct re-
 cycle of a portion of the reject stream to con-
 centrate the reject to the specified design
 value. In this case, the system is operated at a
 somewhat higher concentration than the con-
 centration of the feed. In the 2-stage concept
 shown in Figure 3b, the first stage is used as a
 purification stage, and the  second as a concen-
 tration stage. Since the permeate from the sec-
 ond stage has a higher concentration than the
 design product concentration, it is recycled to
 the first stage. In the 2-stage case, the concen-
tration of the combined feed to the first stage
is lower than the incoming feed concentration
(6)
to the hyperfiltration system. An  additional
stage is employed in the 3-stage concept. The
purpose  of this stage is to concentrate the
permeate from the second stage back to the
feed  concentration.  This   scheme  provides
higher system efficiency because of the  re-
duced number of modules required for the sys-
tem.
  For a given design rejection and product re-
covery factor, the best system efficiency can be
obtained when the recycle flow rate  is the
minimum and the concentration of the recycle
stream is the same as the feed stream. Numer-
ical results indicated that the 3-stage concept
reduces the total number of modules by 30 per-
cent and 10 percent over the single and 2-stage
system, respectively.  For  this reason,  the
3-stage concept is chosen as the system model.
  The tapered innerstage design increases ef-
ficiency of the system  since it reduces the con-
centration polarization in the boundary layer.
The feed rate at the  inlet  of each module is
maintained at the design value by reducing the
number of modules within an innerstage. The
number of modules for an innerstage is deter-
mined by the flow rate fed to the particular in-
nerstage. As the bulk  flow rate decreases due
to permeation of water through the membrane,
the level of polarization in a module increases.
Minimizing the concentration polarization in-
creases the  efficiency of  solute rejection effi-
ciency as well as the product rate. The rejec-
tion increases due to reduced solute concentra-
tion in the boundary layer while higher effec-
tive operating pressure is responsible for the
improvement in the product rate.
  For the  reasons discussed  above, the ta-
pered innerstage  design is  chosen for  the
system  design purposes. Note that the in-
nerstages  are tapered  with respect  to  the
number of  modules rather  than the physical
shape of the membrane support structure.
  A schematic flow chart for the design simula-
tion  of  the  3-stage tapered  hyperfiltration
system is shown in Figure 4. A computer pro-
gram developed to solve the system of equa-
tions presented in the previous section was
utilized to obtain design and economic results
for the staged  system. The numerical  proce-
dure for simulation of a single module employs
an iterative  scheme  based on the Newton-
Raphson method over a number of finite sub-
sections of the module. A similar iterative pro-
                                             335

-------
          a. Single Stage
                                       Recycle
    Feed

1


t


1=]
T

^


|51 _J=L
l^T* ""T^r
i


1

(Concen
trate^
                                    t
Permeate
          b. Two Stage
Feed
                           'Permeate
                                                                        Reject
                                                                        (Concen-
                                                                         trate)
           c.  Three Stage
 Feed
                                                                        Reject
                                                                        (Concen-
                                                                         trate)
                             Permeate
         Figure 3. Schematic diagrams of tapered multistage hyperfiltration systems.
                                       336

-------
            (   Start    J
         Input Module Geometry,
         Operating Conditions and
         Test Module Data.
         Calculate Membrane
         Parameters
         Assume a Value for
         Stage  1 Permeate
         Water Concentration.
           *tf
         Calculate Performance
         of Stage  1 Inner stages.
         Calculate Performance
         of Stage 2 Innerstages.
                                           Calculate Performance
                                           of Stage 3 Innerstages.
Calculate Total
Number of Modules
and Costs.
                                                   C    End    J
Figure 4. Flow chart of the 3-stage hyperf iltration design program. (Subscripts P, R, and F
        d ;note permeate, rejected concentrate, and feed, respectively.)
                                   337

-------
cedure is utilized to match the concentrations
and flow rates to and from each stage.


RESULTS AND DISCUSSION

  The numerical results of a single module per-
formance simulation are shown  in Figure 5.
The case shown in the figure simulates a tubu-
lar  Westinghouse module with a cellulose ace-
                              tate membrane on the inside tube wall. The op-
                              erating conditions and the geometry are indi-
                              cated in the figure. The pressure drop for  the
                              100-ft module is approximately 1 percent. The
                              initial  rejection  is 96  percent  and slightly
                              decreases as the concentration polarization in-
                              creases by 8 percent. Approximately 10 per-
                              cent of the  feed is recovered as  permeate
                              water and the resulting decline of the flow rate
                              is 10 percent. The numerical results are in good
             0>

             3 .1? 600
             « »
             f-l
            Pu
595
             O
            I—I
            fn
                   4.5
4.0
Rejectic
1.0
0.95
"
—
            £  «t
            -t->  t$
            c ••?
                   0.1
             O  O
             u  nS
             «  f-t-,
            1.1   ,4
                   2.3
                   2.2
                       L
              _L
                       0
              20
                                                                            J
                                                                 80
                                                         100
                                          40        60
                                        Tube Length (ft)
Figure 5. Performance simulation of a single tubular hyperfiltration module (feed rate  = 10 gpm,
         temperature = 70° F, tube diameter =  1  in., cellulose acetate membrane (by Westing-
         house) with flux  = 4.75 X  1(T5ft/s, feed concentration  = 2.0 X  10~5 Ib-mole/ft3).
                                            338

-------
agreement with the experimental results pub-
lished in references 1 and 2.
  From the single module simulation results, it
is apparent that at least 8 stages in series are
required to obtain 80 percent product water re-
covery if the feed concentration is low enough.
For a normal  textile wastewater,  however, a
considerably higher number of stages are re-
quired due to additional purification necessary
to achieve the overall design rejection  and
product rate. This will be evident in the follow-
ing discussions on the system design simula-
tion of two sample cases.
  Table 1 summarizes the 3-stage design simu-
lation results for two sample 1-million-gallons-
per-day (MOD) hyperfiltration systems. One is
a Cellulose Acetate (CA) membrane system
(Westinghouse) operating 600 psi and 70° F; the
other is a Zr(IV)-PAA (polyacrylic acid) dynam-
ic membrane system (Selas) operating at 1,000
psi  and 150° F. These two membranes are se-
lected because of readily available design and
                  TABLE 1. SUMMARY OF COMPUTER DESIGN SIMULATION RESULTS FOR
                     TWO SAMPLE HYPERFILTRATION SYSTEMS OF 1 M6D CAPACITY
Item
Design parameters
Test tube rejection
Test tube flux (ft/s)
Permeability (Ib-mole/ft^-s-psi)
Solute transport parameter (ft/s)
Design tube diameter (in.)
Design tube length (ft)
Design product recovery factor
Design rejection
Design feed concentration (Ib-mole/ft3)
Design temperature (°F)
Design pressure (psi)
Cellulose
acetate
membrane

0.96
4.75 X10"5
2.07 xlO"9
1.23 x10-G
1
100
0.8
0.95
2.0 x10'5
70
600
ZR(IV)-PAA
dynamic
membrane

0.96
11.3x10-5
2.88 x10"9
2.53 xlO'6
1
100
0.8
0.95
2.0x10-5
150
1,000
                 Design  results
                   Number of innerstages, stage 1
                                     stage 2
                                     stage 3
                   Number of modules,   stage 1
                                         2
                   Total number of modules
                   Total membrane area (ft^)

                 Economic results*
                   Total installed capital cost ($)
                   Capital amortization cost (cents/kgal)
                   Membrane replacement cost (cents/kgal)
                   Pumping power cost (cents/kgal)
                   Other O&M costs (cents/kgal)
                   Credit for recovered water (cents/kgal)
                   Credit for recovered energy (cents/kgal)
                   Total unit cost (cents/kgal)
       19
       11
       42
      846
      213
      204
    1,263
   31,727
  539,350
       24
       79
       15
       10
       40
       0
      7
      5
     15
    339
    101
     99
    539
  13,540
2,301,700
     102
      2
      25
      20
      40
      67
      42
                 *The unit cost basis is obtained from a recent study estimation (ref. 2). More detailed
                  cost breakdown is described in the reference.
                                                339

-------
cost information (refs. 1,2). The transport pa-
rameters are calculated from experimentally
measured  rejection and  flux data from the
references. The two systems are designed for a
product recovery factor  and rejection of 0.8
and 0.95, respectively. The unit cost informa-
tion was obtained from  vendors  and  recent
study estimations (refs. 1,2).
                                        The computed total numbers of modules 1 in.
                                      in diameter and 100 ft long for the CA and
                                      dynamic membranes are 1,263 and 539, respec-
                                      tively. The corresponding membrane areas re-
                                      quired are 31,727 and 13,540 ft2. The higher
                                      surface  area requirement for the CA mem-
                                      brane system is due to the smaller permeabil-
                                      ity of water through the membrane. The unit
              1.4
              1.2
£0.8
N-t
O

Is
oo
\ 0.6
           9)
           O
          .t; 0.4
           c
             0.2
               — — —  Cellulose Acetate Membrane (WestLnghouse)

                       Zr(IV)-PAA Dynamic  Membrane (Selas)
                         DREJ = Design Rejection
                                                                     DREJ =
                                                                      0.95
                                                            0.93
                                                          _L
                          °-6      0.75       0.8       0.85
                                Design Product Rate Factor
                                                          0.9
   FigureG.  Effect of design product rate factor and rejection on unit cost (feed rate =  10gpm,
            tube diameter = 1 in., temperature  = 70° F for CA membrane and 150° F for
            dynamic membrane, pressure = 600 psi for CA membrane and 1,000 psi for
            dynamic membrane).
                                          340

-------
cost for producing 1,000 gallons of permeate
water is 88 cents for the CA system  and 42
cents for the dynamic membrane system. It is
noted that the major cost element for the CA
system  is the membrane replacement  cost,
while the capital amortization cost makes the
largest cost contribution, and the  credit from
recowed energy is  significant  enough to
cause the dynamic membrane to be attractive.
It should be noted that the design and opera-
tion conditions used are for illustration  pur-
                                      poses and do not represent a typical case.
                                        To demonstrate the range of applicability of
                                      the developed model and to investigate the ef-
                                      fects of various design parameters on the eco-
                                      nomics of the system, a series of parametric
                                      studies is performed. The results are shown in
                                      Figures 6 and 7.
                                        Figure 6 shows the effects of design product
                                      rate  factor and solute  rejection on the unit
                                      cost. The effect of design product rate factor on
                                      the unit cost is relatively moderate. The design
              3.5T
              '3.0
           «»  2.5
           u
           3
           T3
           O
o
i—i

00


Vi-
              2.0
               1.5
            in
            O
           U
           ±J  1.0
            c
           D
               0.5
               •— — •—  Cellulose Acetate Membrane  (Westinghouse)

               	••  •     Zr(IV)-PAA  Dynamic Membrane (Solas)
               P  =  Operating  Pressure (psi)
                              \
                      1T6         80        100        UO        140
                                 Operating Temperature (F)
                                              341

-------
rejection factor has a more pronounced effect
on the cost of the dynamic membrane system.
Significantly lower unit cost can be obtained at
slightly lower design rejection for the dynamic
membrane. On the other hand, the effect of de-
sign rejection is less  significant  in the CA
membrane. Thus, a proper  combination of
these two membrane systems may be desirable
when a  higher design  rejection is necessary
due to more stringent quality requirements for
reuse of the permeate water.
  Figure 7 shows  the effects of operating
temperature on  the  unit cost with operating
pressure as a parameter. Due to  character-
istics of the membranes, the effects are shown
only for  the  respective applicable operating
temperature and pressure ranges. It is shown
that the unit cost is generally lower at higher
temperature and pressure and a strong  func-
tion of temperature and pressure as compared
to those of product recovery factor and rejec-
tion shown in Figure 6.
  The unit cost does not include credit  from
possible reuse of the chemicals contained in the
concentrated  reject stream. A net saving can
be realized if the chemical credit is included in
the computation of the unit cost. Although high
temperature and pressure operation is desir-
able in the interest of achieving lower unit cost
or even net savings, it is limited by excessive
maintenance costs at high operating tempera-
ture and pressure. It is noted that the mainte-
nance cost  used in the  computations does not
reflect this effect but rather a flat estimated
average is assumed.
  In summary, the model developed is capable
of predicting system performance  as well as
analyzing system economics to find an  opti-
mum set of design parameters. The reliability
of computer results is largely dependent on the
availability of rigorous cost information oh the
system as well as the accuracy of the test mod-
ule data/membrane specifications.

ACKNOWLEDGMENT


  The authors are especially grateful to Dr.
J. L. Gaddis of Clemson University and Dr.
C. A. Brandon of Carre, Inc. for their contribu-
tions to this study and  for their comments on
the mathematical model. The EPA project offi-
cer for this project was Dr. Max Samfield of
IERL/RTP and his support and interest in this
study are also gratefully acknowledged.

REFERENCES

   1.  C. A. Brandon and J. J. Porter, "Hyper-
      filtration for Renovation of Textile Fin-
      ishing Plant Wastewater," EPA-600/2-76-
      060, March 1976.
   2.  C. A. Brandon, J. J. Porter, and D. K.
      Todd, "Hyperfiltration for Renovation of
      Composite Wastewater at Eight Textile
      Finishing  Plants,"  EPA-600/2-78-047,
      March 1978.
   3.  U.S. Environmental Protection Agency,
      "Development Document  for  Effluent
      Limitations Guidelines and New Source
      Performance Standards  for the Textile
      Mills Point Source Category," EPA-440/
      1-74-022-a, June 1974.
   4.  A. Shindler, unpublished results devel-
      oped under EPA/RTP sponsorship.
   5.  H. G. Spencer and J. L. Gaddis, "Hyperfil-
      tration of Nonelectrolytes: Dependence of
      Rejection  on  Solubility  Parameters,"
      paper presented at EPA Symposium on
      Textile Industry Technology, December
      5-8,  1978.
   6.  S.  Sourirajan, Reverse  Osmosis, Aca-
      demic Press, New York, pp. 176-184,1970.
   7.  S.  Sourirajan, Reverse  Osmosis, Aca-
      demic Press, New York, pp. 185-188,1970.
   8.  P. L. T. Brian, "Mass Transport  in Re-
      verse Osmosis," Desalination by Reverse
      Osmosis,  Ulrich Merten, ed., The MIT
      Press, Cambridge, 1971.
  9.  W. Pusch, "Concentration Polarization in
      Hyperfiltration Systems," Reverse Osmo-
      sis Membrane Research, H. K. Lonsdale
      and H. E. Podall, eds., Plenum Press, New
      York, pp. 43-57, 1972.
 10.  W. L. Griffith, R.  M. Keller, and K. A.
      Kraus, "Parametric Study of Hyperfiltra-
      tion in Tubular Systems with High Per-
      meability Membranes," Desalination, Vol.
      4, pp. 203-308, 1968.
 11.  J. S. Johnson, Jr., L. Dresner, and K. A.
      Kraus, "Hyperfiltration (Reverse  Osmo-
      sis), Principles  of Desalination,  K. S.
      Spiegler, ed., Academic Press, New York,
      pp. 345-439, 1966.
                                            342

-------
12.  S. M. Ko and P. G. Grodzka, "Study of Hy-
     perfiltration Processes for Treatment and
     Renovation of Textile Wastewater," to be
     published.
13.  S.  Sourirajan, Reverse Osmosis,  Aca-
     demic Press, New York, pp. 191-202,1970.
14.  J.  L.  Gaddis,  private communication
     dated May 24, 1978.
15.  S. T.  Hwang, and  K.  Kammermeyer,
     Membranes in Separations, Wiley-Inter-
      science, New York, pp. 351-359,1975.
NOTE: After the paper was given at the conference, objec-
tions were raised stating that  the costs given for the
cellulose acetate membrane were too low. EPA, through its
contractor, solicited cost information from three cellulose
acetate  membrane  manufacturers. The  manufacturers
refused to supply such information, and, therefore, the con-
tractor used the only information available as indicated in
the cited reference.
  EPA would welcome additional cost information, which
should be sent directly to the Project Officer.
  In reviewing this and the other papers on hyperfiltration
presented at  the conference readers should be aware that,
in the projects discussed, one is dealing with dilute solu-
tions of largely nonelectrolytes which  have low osmotic
pressures.
                                                     343

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                 SOLVENT RECOVERY FROM TEXTILE DRYERS

                                      Nathan R. Shaw*
Abstract

  Solvents are used  throughout industry as
vehicles to carry coatings onto various prod-
ucts, diluents, cleaners, and intermediates in
the production  of other  products.  In these
capacities, hydrocarbon solvents are used in
virtually all industries. The textile industry is
no exception. This paper will explore some sol-
vent uses.

  Two frequently encountered uses of solvents
in the textile field have to do with the applica-
tion of coatings  and, of  course, in scouring
and/or cleaning  of fabrics prior to dying or
other finishing operations. In both cases, the
final step  is t/> remove the solvent that has re-
mained in the fabric by drying.
  The most frequently utilized  solvents for
these  applications are  trichloroethane,  tri-
chloroethylene,  or  perchloroethylene.  Eco-
nomic  considerations  make it desirable  to
recover and reuse these solvents. Existing
and/or pending EPA  regulations often make
their recovery mandatory. Fortunately, vapor-
phase  carbon adsorption technology, which
satisfies both existing and pending EPA regu-
lations, is readily  available for recovery of
these materials so solvents may be reused.
  Most of us, by this time, are familiar with the
basic technology of vapor-phase carbon adsorp-
tion. For  those of  you not familiar with the
basic  equipment  of the process and as a  re-
fresher for the rest, the basic equipment con-
figuration  consists of a  blower  and motor
assembly   to  move  the solvent-laden  air
through the activated carbon bed, one or more
vessels containing  activated carbon, a steam
distribution system used  for regeneration of
the carbon beds, a condenser to convert the
solvent/steam vapor to a liquid, and a decanter
for  separation  of  the organic  and aqueous
phases.
  •Eastern Sales Manner, VIC Manufacturing Company,
  Minneapolis, MN.
  During  adsorption, solvent-laden air from
the process enters the system through the
blower and passes through the bed of activated
carbon where the organic material is adsorbed.
The clean air passes out the exhaust valve to
atmosphere.
  When the carbon is saturated with the or-
ganic component, the bed  is isolated from the
process and regenerated  with low pressure
steam. During this period, the second  bed is
placed on adsorption   giving  a continuous
operating cycle.
  During desorption, low pressure steam flows
in a direction countercurrent to that direction
utilized during adsorption. The  thermal energy
provided by the steam heats the carbon, revol-
atilizes the organic material, and then acts as a
carrier gas to move the organic vapor into the
condenser section where it is reduced to a liq-
uid. It then flows  by gravity to the decanter
where, if the water is immiscible and is of a dif-
ferent density than the condensed  steam, it
will separate forming an aqueous and organic
layer  that can be removed from the decanter
by gravity flow.
  Solvent recovery systems for coating and
scouring  applications are  usually small, skid-
mounted  units. One such  system consists of
two  36-in. diameter adsorption vessels  and
related equipment, as already  discussed. This
system is  processing 700 SCFM of solvent-
laden air containing 24.9 kg (55 Ib) per hour of
1,1,1 trichloroethane. The  solvent is used as a
vehicle in the application of  an antishrink
chemical to a web of fabric. It literally locks the
fibers  together  to prevent shrinkage. This
process operates 24 hours per  day, 6  days per
week. Solvent-laden air  is picked up  from the
entering and existing ports of  the dryer.
  Utilities required  for   operation  of the
system are as follows:
  •   Electrical (3 hp) = 2.24 kWh
  •   Steam = 123 Ib/h  at 15 psig
  •   Water = 14 gal/min
  •   Compressed air = negligible.
                                             345

-------
  Operating  costs  for the  system  can  be
calculated to be less than $1,600 per year per
8-h shift using the following cost factors:
  •  Electrical power at $0.035/kWlj
  •  Low pressure steam at $3.25 per 453.6 kg
     (1,000 Ib)
  •  Water at $0.20 per 3,785.4 liters (1,000
     gal).
   Value  of recovered  solvent  at $0.21 per
pound is  $92.40 per 8-h shift, or  $27,700 per
year per shift. In other words, after subtract-
ing  operating  costs,  the  solvent  recovery
system generates over $26,000  per year  of
reusable solvent. Total system cost  was less
than this amount as originally purchased. In-
stallation costs are easily recovered by the
second-shift operation,  and the  third shift is
profit. This system  was fully amortized in 1
year.
   Another solvent  recovery system  involves
the recovery of perchloroethylene from a wool
scouring operation. Three thousand SCFM of
solvent-laden air contaminated at a rate of 45.4
kg (100 Ib) per hour is being processed. Solvent-
laden air is from a bank of dryers and  from the
deodorizing exhaust of two automatic  scouring
machines. At a  value of $0.20 per pound, this
system generates $40,000 per year of  reusable
solvent. Regeneration of the beds  occurs once
every 3 hours.
   Utilities required for this system are:

   •  Electrical (20 hp) = 15 kWh
   •  Steam =  238.1 kg (525 Ib) per hour
   •  Water =  219.6 liters  (58 gal) per minute
   •  Compressed air  = negligible.

   Using the  same  cost figures  as in  the
previous example, and remembering that the
utilities are used only approximately one-third
of the time, operating cost is calculated at ap-
proximately  $3,000  per year.  The  value  of
recovered solvent is more than $37,000 per
year after subtracting operating costs. The in-
itial cost of recovery equipment was less than
$20,000.  Installation was  less  than $10,000.
This system was fully amortized in less than 1
year.
   The expected life  of the systems described
above is 7 to  10 years or longer with proper
maintenance.  A most important  additional
benefit is compliance with EPA regulations.
   The examples used above describe textile
dryer applications well suited to vapor-phase
adsorption techniques. There  certainly  are
many more  applications  involving various
solvents  which,  if even with longer amortiza-
tion times, still offer a viable solution to energy
conservation and compliance  with  environ-
mental regulations.
                                             346

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          SOLVENT  DYEING OF NYLON CARPET USING THE STX
                           SOLVENT DYEING PROCESS

                         Charles C. Wommack*. M. Pierre Favierf
Abstract

  Clean  technologies result from an  efficient
process and the complete recycling of effluents.
The STX solvent dyeing process has  been de-
veloped  up to the pilot stage in the field of
nylon carpet piece dyeing. It utilizes,  in place
of water, two solvent fluids—perchloroethylene
and methanol—which, although perfectly mis-
cible in  each other,  have different character-
istics. The French Textile Institute has shown
that a mixture of these two solvents penetrates
into the nylon fiber in a manner far superior to
the penetrating  effect of water or of either of
the two solvents used separately. This effect is
maximized when the methanol is removed by
distillation. Good penetration of the fiber is re-
quired for best dye fastness, maximum dye ex-
haustion, and minimum energy consumption.
  Rhone-Poulenc has developed the equipment
and has selected commercially available dyes
that are soluble in methanol and insoluble in
perchloroethylene. The dye exhaustion is com-
plete and  no added chemicals are needed. Be-
sides  the carpet and the dyes, the  only prod-
ucts used are the two solvents, which are re-
cycled through a recovery system that removes
the maximum amount of residues from the car-
pet and the air. No process water is used in con-
tact with either the fiber or the dyes in the STX
solvent  dyeing process. Rhone-Poulenc  hopes
to support efforts by an American company to
conduct a demonstration program that  will
provide a  measurement of the benefits to the
carpet industry in  terms of product quality,
supply and discharge of water, and reduction
of the energy requirements. An additional ob-
jective of the envisioned demonstration pro-
gram  is to document the economic  factors in-
volved in the  full commercialization of the
process.
 JWommack and Company, Atlanta, GA.
 'Rhone-Poulenc-Chimie Fine, Paris, France.
INTRODUCTION

  Rhone-Poulenc  Industries is  a large-scale
chemical manufacturing firm located in France.
As a result of its research in the area of dye
processes, a new and entirely clean technology
has been developed regarding the pilot-plant
stage in Europe. It is recognized that the car-
pet industry of the United  States, due to its
concentration in small geographic areas and its
much greater reliance on the use of nylon fiber
in comparison to carpet manufacturers in Eu-
rope,  would be able to realize the benefits of-
fered  by the new dye process much more rapid-
ly than would be possible in Europe. Based on
these considerations, the STX solvent dyeing
process is being offered to American carpet
firms  interested in seeking to achieve full com-
mercialization of the process.
  Direct energy requirements of the U.S. tex-
tile industry during 1971 (the most recent year
for which comprehensive data  are available)
were equal to approximately 67 million barrels
of oil. About 60 percent of the total energy
presently used by the textile industry is con-
sumed in wet  processing. Approximately 125
billion gallons of water are consumed annually
in this processing. Much of this water, when
discharged, includes appreciable quantites of
both organic and inorganic chemicals which re-
quire  extensive and expensive  waste treat-
ment. The required treatment processes also
consume large volumes of energy. Thus, high
energy consumption associated with the  dye-
ing process and with the treatment of waste
discharges  are two primary concerns of the
textile industry.
  The STX process was developed in France
as a joint venture of some of France's largest
industrial  concerns and the government of
France.  The STX solvent  dyeing process, if
shown to be economically and technically fea-
sible  on a large volume  basis, could have
significant  potential benefits  that  go  well
beyond the immediate needs and concerns of
any  single company. It is estimated  that
energy savings through use of the STX process
                                           347

-------
 will be on the magnitude of 60 to 70 percent
 when compared to present methods of dyeing.
 Additionally, since the process eliminates the
 need for process water, there are no effluent
 discharges.  Consequently,  implementation
 could  result in  significant industry-wide en-
 vironmental benefits as well as significant sav-
 ings in the energy required for industrial proc-
 essing and treatment.
   The objective of a full-scale demonstration
 project would be to conclusively demonstrate
 that the solvent dyeing process can result in
 significant environmental benefits and produc-
 tion cost savings (primarily through reduced
 energy consumption), and  also  result  in  a
 higher quality product or at  least a product
 comparable in quality to that produced with
 conventional dyeing processes. The develop-
 ment  of an effluent-free technology is a dif-
 ficult  and long-range venture. When success
 comes, the reward is a substantial savings of
 energy and materials. These savings stem
 from  the fact that the first step  in the new
 development is a careful analysis of the condi-
 tions to do a good job. It was an analysis of this
 type in the field of textile dyeing which lead to
 the STX dyeing systems.
 CONDITIONS NEEDED TO PRODUCE
 QUALITY TEXTILE DYEING

   The process of imparting color to textiles in
 all cases requires that the fibers of the textile
 be brought into contact with a dye chemical. To
 achieve good color fastness, the dye chemical
 must penetrate deeply into the fiber or must
 chemically react with the fiber, or both. Uni-
 formity or evenness of coloration requires that
 each fiber of the textile be afforded  equal op-
 portunity to contact the dye chemical. This uni-
 formity is normally achieved  either by agi-
 tating or  moving the textile, by pumping the
 dye chemical through the textile, or both.
   All dyeing machines are designed to produce
 these conditions so that good quality results  in
 terms of color fastness and uniformity of col-
 oration. Figure 1 represents the typical dyeing
 machine and its various functions.  In this dia-
 gram, the dye chemical is a liquid in which the
 textile is immersed. Penetration of the fiber is
enhanced by using the heater to raise the tem-
perature of the liquid and the textile. Uniform-
ity of coloration is achieved by pumping the liq-
uid.
  In current practice, such a dyeing machine
would use water as the liquid for carrying the
dye chemical. Not only is water very inexpen-
sive, but its characteristics are familiar  to
everyone and it performs the following func-
tions needed for dyeing fairly well.

  • It acts as a wetting and penetrating agent.
  • It carries the dye  chemicals and spreads
    them evenly.
  • It is a good heat transfer agent for heating
    the fiber and equalizing temperature.
  • It ionizes chemicals.

  There are, however,  many compromises
which must be made chemically when using
water to constitute the dyebath liquid. These
compromises result in less than total transfer
of dye chemicals from the dyebath to the tex-
tile fibers. Even when an assortment of other
chemicals is used to promote the transfer of
dye from the dyebath to the fiber, a portion of
the dye chemicals remains in the water. Due to
these factors, dyeing systems which use water
as the carrier of the dye  chemicals have the
following inherent characteristics:

  • All  of the dyes are not used to dye the
    fiber.
  • Some of the dyes remain in the bath,
    which must be reclaimed.
  • Some of the dyes are left on the surface of
    the fiber when the water is removed. This
    residue  makes  it necessary  to rinse the
    textile material, thus  polluting the water
    used for rinsing.
  • The chemicals used to improve dye quality
    are  themselves a cause of pollution.


THE STX SOLVENT DYEING PROCESS

  In the STX solvent dyeing process, no water
is used in contact with the textile fibers or the
dye chemicals. Instead of  water, a mixture of
two liquids is used to carry the dye chemicals.
In the dyeing of nylon, the two liquids found to
perform best are perchloroethylene and meth-
anol. During the dye cycle in the STX process,
one of the two components of the dyebath is
progressively removed. Since the dye chem-
icals chosen are soluble in only the component
of the dyebath that is removed, complete trans-
                                             348

-------
                                  Figure 1. Basic dyeing principle.
 fer from the dyebath to the fiber is assured
 (see Figure 2).
  In the case of nylon dyeing, the dye chem-
 icals chosen are soluble in methanol and insol-
 uble in perchloroethylene. During the dye cy-
 cle, the methanol is removed by distillation.
  The diagram shown  in Figure 3 represents
 the dyeing machine used in the STX solvent
 dyeing pilot plant in Europe. As can be readily
 seen,  the principles involved are  very similar
 to those shown in Figure 1. The only difference
 is the addition of a system for  diverting a por-
 tion of  the  liquid through  a  second heater,
 which brings the temperature to  a level high
 enough to produce  rapid distillation  of meth-
 anol. It should be noted that even this distilla-
tion temperatur ; is comparable  to  or  lower
than the norm.!  operating temperatures  of
most conventional  dyeing  machines.  In  the
pilot plant, the maximum temperature reached
in the main circuit was 70° C (158° F) and in the
secondary circuit the temperature was brought
to 93° C (200° F). Since the mixture of per-
chloroethylene and methanol starts to boil at
65° C (149° F), it is evident that rapid and com-
plete distillation of methanol is achieved at the
temperature used.

FACTORS IN THE  SELECTION
OF SOLVENTS

  Before going into more detail about the dye-
ing cycle and the pollution problems encoun-
tered, an explanation of some of the guidelines
to the selection of the solvents for the STX
process  is in order. The solvent mixture must
                                             349

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                A CHANGE  OF COMPOSITION OF  THE DYEBATH WILL MOVE

                                THE DYE TOWARDS THE FIBER



                    THIS CHANGE OF COMPOSITION WILL BE MADE :
           IN CONVENTIONAL SYSTEMS
   BY ADDING CHEMICALS TO THE WATER
             IN THE STX  SYSTEM
       BY EXTRACTION OF ONE OF  THE
       SOLVENTS
                          Figure 2.  Change of dyebath composition.
allow a good dissolution of the dyes and a good
penetration  of the dyes  into the fibers.  The
dyes must then stay in the fibers. The only in-
dustrial machines built to date have  used the
two solvents, perchloroethylene and methanol,
in the ratio of 90 parts of perchloroethylene to
10 parts of methanol. Other solvent  combina-
tions have been used in the laboratory and may
prove to be better for fibers other than nylon.
For nylon dyeing, the perchloroethylene and
methanol combination was  found to  perform
best. Perchloroethylene is a widely used prod-
uct in the dry  cleaning  industry.  Its boiling
point is fairly high 121° C (250° F), giving am-
ple freedom in the selection of the best dyeing
temperature. Methanol is also a readily avail-
able  material, and its boiling  point  of 64° C
(148° F) is high  enough  to  enable operation
above the  fibers' transition point,  yet  low
enough to permit easy distillation.
  As previously mentioned, the dyestuffs used
are soluble in methanol  and insoluble in the
perchloroethylene. The result is that the  mix-
ture of perchloroethylene-aleohol-dye pene-
trates the fiber, the distillation of  the alcohol
deposits the dye into the  fiber (this dissolution
is probably  induced  by  the presence of  free
NH2 radicals), and exceptionally high quality
dyeing is achieved.
  The work done by the  French Textile Insti-
tute  following the development of the  STX
process has determined that the role played by
methanol in the process is as a carrier enabling
effective dye penetration to the very heart of
the fibers.
  Water will not swell polyamide until temper-
atures are above the transition (around 49° C
[120°]). Methanol, even below 21°C (70°F), will
wet the  surface of the fiber and will quickly
penetrate  to  the  center  of the  fiber even
though it is unable to open the finer pores.
  Because of these factors, methanol is not re-
tained in the  macromolecular  material.  This
result is shown by the reversible stretch under
tension of nylon fibers  when they are im-
mersed into methanol (see Figure 4). The ten-
sion is low and does not affect the criu,p.
  Perchloroethylene  has  a swelling  effect
much lower than the swelling effect of water.
However, when perchloroethylene is  mixed
with methanol, there is a carrying effect. The
mixture penetrates the fibers well below 60° C
(140° F). The amount of perchloroethylene ab-
sorbed depends on the amount of methanol  in
the mixture as shown in Figure 5. A study  of
the perchloroethylene content within a section
of fiber, which has been immersed for 1 hour at
21 °C (70° F) in a mixture of 90 percent per-
chloroethylene to  10 percent methanol, con-
firms the carrying effect of the methanol.
  The penetration of the chlorinated solvent is
again shown in Figure 6. The fibers have been
impregnated for 1 hour at 21 °C (70° F) by the
mixture  of solvents. They  have then  been
dryed at  38° C (100° F) for  24  hours,  then  at
175° F for 2 hours. The curves show the pene-
                                             350

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                                                   condenser
              heater H2
1.  Main dyeing circuit
 2.  Flash circuit
                                     flash
  solvent
for reuse
           Figure 3. Principle of flash (liquid phase PER + methanol).

                              351

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FIGURE 4
     1st   cycle
     ond    ii

     3rd
 Immersion cycles
 in methanolat20°C
                 Figure 4. Immersion cycles in methanol at 20° C.
                                 352

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"" — ~- ^^^^ CONCENTRATION
TEMPERATURE (»C) ~~" 	 ^^__^
50
70
80

0
0,00



5
0,02
0,08
0,09

10
0,08
0,17
0,29

20
0,20
0,40
0,47

30
0,15
0,20
0,39
       Figure 5. Quantity of perchloroethylene adsorbed by polyamide 6-6 in relation with
                     temperature and concentration of methanol (cm3 . G~1).
tration at different temperatures. It is espe-
cially high when perchloroethylene is replaced
by trichloroethane, yet is much more volatile.
  Because o* this penetration, it is necessary,
industrially, to use a  steam stripping  of the
fibers in order to completely remove the chlori-
nated solvents from the fiber.

POLLUTION CONTROL

  In the previous sections, we have described
a dyeing process in which:
  • No chemicals are added to the dyebath.
  • The dyes  are entirely exhausted from the
    dyebath.
  • The  dyes penetrate exceptionally deep
    into the fiber.
  We will now look at each phase of the dyeing
and drying cycle and discuss pollution hazards
involved in the STX solvent dyeing process.

Figure 3

  The dyebath is a  mixture  of perchloro-
ethylene and methanol. The dyeing cycle has a
duration of  1.30 hours. During this time, the
only opening of the system to the outside at-
mosphere is through the methanol condenser.
The temperature in this location is kept well
below the boiling  point of the  dyebath (65° C
[149° F]).
  We can thus v .isider the dyeing circuit as a
closed system. It should be noted that other ef-
forts  made towards dyebath reuse with aque-
ous systems use batch-type closed circuits and
require fairly sophisticated pieces of equip-
ment.
  At  the  end of the  dyeing cycle, all of the
methanol  has been extracted through the con-
denser. It can be reused for another cycle, even
with a different shade. The only liquid left in
the machine is perchloroethylene. This solvent
will have dissolved the spinning oils and other
greases contained in the carpet. Only a fraction
of this oil  will be deposited back on the carpet
during the drying cycle. Our experience in the
pilot plant is that it is adequate  to recycle 10
percent of the perchloroethylene used in the
machine, for each cycle, thus obtaining a per-
fectly clean carpet.
 Figure 7

   At the end  of the dyeing cycle, the per-
 chloroethylene is dumped into a storage tank.
 Except for the 10 percent which will be recy-
 cled, it will be immediately available for use in
 the  next dyeing cycle. The carpet, still in the
 machine,  is  soaked  with perchloroethylene.
 The solvent will be mechanically extracted by
 forcing air through the carpet at 71° C (160° F).
 This could be done continuously while the car-
 pet is being unrolled. In order to avoid air con-
 tamination,  the machine is  equipped  with a
 closed drying circuit, quite similar to the dye-
 ing circuit. The drying cycle  lasts 2 hours; the
                                              353

-------
                                      TCE/Meth
                          PER/lsopr
100  110 120  130 140  150 160  170  180 190  200  210
               Figure 6. Penetration of chlorinated solvent.
                           354

-------
                  condenser
                         condensed
                         solvent for reuse
Figure 7. Principle of drying.
         355

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overall total dyeing and drying cycle is, there-
fore, approximately 3.5 hours.

Figure 8

  At the end of the drying cycle, the air con-
tained in the closed circuit is still mixed with a
very small amount of solvent that cannot be
condensed  at the temperature of the con-
denser. The opening of the autoclave  at that
time would result in a slight air contamination.
The figure shows that the machine is venti-
lated with fresh air. This air is filtered with ac-
tivated  carbon before release into the atmos-
phere. This could be done in a closed  circuit,
but some carbon  dust would deposit back on
the textile. When the activated carbon  is satu-
rated with solvent, it is reclaimed by steaming.

Sizing Oils

  The sizing oils  are  dissolved by the per-
chloroethylene. The  separation  and the  re-
claiming of the perchloroethylene and the oils
is done in a boiler similar tc those used in com-
mercial dry cleaning machines. At the end of
the cycle, the last of the perchloroethylene is
stripped by steam.  In conventional  dyeing
cycles, the oils are lost in the effluents. The
same happens with the chemical agents used in
conventional dyeing. No elaboration is  needed
on the savings resulting from the fact that no
chemical agents whatsoever are used in the
STX process.

Energy Consumption

  Solvent dyeing would not be feasible if sol-
vent  reclaiming  required  large  amounts of
energy. Fortunately, specific and latent heat
figures are very low in the case of the solvents
used, as is shown in Figure 9.
  The advantages as compared to conventional
water-based systems are shown  in Figure 10.
The energy consumptions for  solvent dyeing
are related to the use of a 1-metric-ton-capacity
machine. These consumptions  would  be  re-
duced, as well as the bath ratio, for machines
having a larger capacity. Additional reductions
of energy consumption would be obtained by
operating under a slight vacuum, which would
help in the exhaustion of methanol.
  Figure 11 shows that dyeing itself, perform-
 ing as it is in fiber penetration, only represents
 one-half of the task. The atmospheric contami-
 nation hazard, due to the use of  solvents, is
 taken care  of through closed  circuit drying,
 with  a low energy consumption (14 percent).
 Finally, it must  be pointed out that solvent
 reclaiming represents a large  share (32 per-
 cent) of the total  energy consumption.

 POTENTIAL BENEFITS AND CONCERNS
 ASSOCIATED WITH WIDE-SCALE
 IMPLEMENTATION OF THE STX PROCESS

 Energy Conservation

  The potential  energy  savings  associated
 with STX solvent dyeing are very significant
 when compared with the  conventional beck
 dyeing process. The textile industry is heavily
 dependent upon petroleum and natural gas (the
 fuels  currently in shortest supply) to meet a
 major part  of the process energy require-
 ments. About 60 percent of the energy present-
 ly utilized is consumed in wet (water) process-
 ing, which includes the cleaning, dyeing, and
finishing processes. These processes are gen-
erally energy inefficient with  efficiencies of
less than 20 percent typically encountered in
commercial practice.
  Among the important  energy saving fea-
 tures of the STX solvent  dyeing  process, in
 comparison  to the conventional  wet dyeing
 processes, are:

   •  Energy consumption in the carpet dyeing
     industry is mainly used in the heating and
     boiling out of water. In the solvent dyeing
     process, steam utilization  is reduced by
     over  50 percent.
   •  Shortages of natural gas have had a major
     impact on the textile industry. The sol-
     vent  dyeing  process does  not utilize nat-
     ural gas.
   •  The reclaiming of solvents requires only
     about 10 percent of the energy needed to
     evaporate water in the conventional sys-
     tem.
   •  The use of chemicals in the dyeing process
     is reduced by about 50 percent. An indi-
     rect benefit is the reduction of energy con-
     sumed in producing these chemicals.
   •  Carpet is dyed  at lower temperatures
     (about 70° C)  in the solvent dyeing process
                                            356

-------
       to atmosphere
         ac ivated carbon—
fresh air
   Figure 8. Principle of the ventilation.
            357

-------
                                    PERCHLORETHYLENE
                              WATER
     SPECIFIC HEAT
     KCAL/KG/°C
 0,216
     LATENT HEAT

     UNDER 76O  MMHG
50
539
                  Figure 9.  Specific and latent heat figures of solvents used.
ENERGY CONSUMED FOR
100 KG OF DYED CARPET
STEAM KILOGS
ELECTRICITY KWH
GAS M3
TOTAL K CALORIES
WA
WITHOUT EFFL
BECKS
935
53
20
803. 483
100 %
TER
UENT TREATMENT
CONTINUOUS
508
55
20
546. 248
66 %
SOLVENT
S T X
435
57
0
315. 032
38 %
                Figure 10. Advantages over conventional water-based systems.
  The costs of treating waste discharges from
the carpet industry are high. However, just as
important is that the advanced treatment proc-
esses required with wet process dyeing result
in the consumption of large amounts of energy.

Water  Usage

  The  capacity  of  the  solvent dyeing plant
     developed by STX is approximately 6 tons of
     carpet per day. To dye an equivalent amount of
     carpet using the beck dyeing process would re-
     quire 36,000 gallons of process water since ap-
     proximately 3,000 gallons of water are used
     with the conventional beck dye load of about
     1,000 pounds.
       Because of the concentration of the carpet in-
     dustry in Dalton, Georgia, nearly 50 percent of
                                          358

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     BEAMING,  UNBEAMING,  STEAMING
     DYEING
     DRYING
     SOLVENT RECLAIMING
        KILOCALORIES

             10  000         3
            159  000


             44  000


            102  000
51


14


32
                                                             315 000      100
                      Figure 11.  Breakdown of the energy consumption.
all raw water used in the carpet manufacturing
process is taken from local streams in north-
west Georgia. This restricts the use of these
waters for other purposes because of the need
to maintain flows sufficient to meet these proc-
ess demands and  to assimilate wastes dis-
charged after completion of the carpet dyeing
processes.

Occupational Safety

  The STX solvent dyeing process uses two
solvents: perchloroethylene and methanol. The
process used is self-contained and both  per-
chloroethylene  and methanol are completely
recycled and reclaimed.
  The Occupational Safety and Health Admin-
istration (OSHA) has established an industrial
standard for  exposure to perchloroethylene of
100 ppm for  an  extended time period. In the
plant built in Europe to test the solvent dyeing
system, probes located in the dye house never
showed a  concentration above 30 to 40 ppm of
perchloroethylene in the atmosphere, and this
level was reached only during the limited time
that the autoclave was opened at the end of
each dyeing cycle.
  The fact that the temperature utilized in the
solvent dyeing process is quite low and never
exceeds 70° C is another safety feature of the
STX system since it eliminates the need for
high temperature operations.
  The  solvent dyeing process never includes
the mixing of air and methanol. In the process,
perchloroethylene  eliminates  the air before
methanol is introduced. This is strictly moni-
tored and controlled.
  The solvent dyeing plant in Europe was op-
erated for a period of 1 year. Documentation is
available that demonstrates that this plant has
met all applicable U.S. safety standards during
this period of operation.

Chemical Usage

  The chemical usage in the  STX process is
limited to the  dyestuffs and the small quan-
tities of  solvents  lost in  the process.  This
chemical usage level compares very favorably
with the existing aqueous systems now in use,
which demand that a variety  of chemicals be
used as dyeing assistants in order to achieve
good product characteristics. The elimination
of the need for these other chemicals can cut
the cost of dyeing chemicals by as much as 50
percent.
                                            359

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Benefits to the Carpet Industry

  The STX solvent dyeing system offers many
potential benefits to the carpet industry as
well as to other segments of the textile indus-
try. The most apparent benefits are:

  • Since water is used only for cooling and
    steam generation, the STX process elim-
    inates all problems related to supply of
    raw  water and  discharge  of polluted
    wastewater.  Since carpet dyeing plants
    are having to cope more and more with the
    twofold problems of supply and pollution
    of water, there is a great incentive to in-
    vestigate any alternative  process that
    would solve this situation.
  • The  overall cost of dyeing carpet is re-
    duced by the STX process since chemical
    usage, water usage, and energy usage are
    all reduced. There is also a cost savings in-
    herent in the process as the process elim-
    inates the 4 to 5 percent waste of carpet
    fiber that is experienced in using aqueous
    dyeing. These savings could potentially
    yield an overall dyeing cost reduction ex-
    ceeding 30 percent in the carpet industry
    as compared to current aqueous dyeing
    methods.
  • The subtle components of product quality
    in the carpet industry such as softness,
    luster, color fastness, and texture are
    either matched or improved by the STX
    solvent dyeing process. In a highly com-
    petitive market, such as the high quality
    residential carpet market, these charac-
    teristics can often be an overriding factor
    in the buying decision of the consumer.
  • A very  important  benefit  to carpet
    manufacturers offered by the STX proc-
    ess is the potential for more accurate color
    matching from one dye lot to another. If
    sufficiently accurate controls can be devel-
    oped, the STX process will enable a manu-
    facturer to match one dye lot to another
    close enough to permit installation of two
    different dye lots side by side without any
    noticeable difference in color. In conven-
    tional beck dyeing, this is not now possible
    even with  the sophisticated measuring
    equipment  available. The capability for
    color matching would offer many advan-
     tages, both in marketing and manufactur-
     ing.
   •  Production efficiency should be improved
     with the STX solvent dyeing system since
     dyeing cycle time is significantly reduced.
   •  The dyestuffs and other chemicals used in
     the STX process are commonly used in the
     carpet and textile  industry, and, there-
     fore, availability of these materials should
     not pose any problems.

Patent Rights

  Patent rights are held for all aspects of the
solvent dyeing process. Patents are held on the
dyeing system employed including its chemical
aspects and also on  the equipment  utilized.
Patents are also held on the use of this system
with different types of materials (nylon, wool,
etc.).
     in comparison to  the wet dyeing process,
     which  requires  temperatures of  about
     100° C. This  results in significant energy
     savings.
  •  Elimination of the need for the processing
     of raw water and the treating of process
     wastewater results in significant cost sav-
     ings.
  It  is estimated  that the solvent dyeing proc-
ess would permit  the savings of approximately
1 pound of fuel oil for every pound of carpet
dyed.

Water Pollution  Control

   It has  been estimated that the discharges
 from a dyeing process with a capacity of 6 tons
 of carpet per day (the capacity of the  plant
 utilized  in  the solvent dyeing  process) equal
 the  domestic wastes of 10,000 to 15,000 people.
 This is indicative of the strength of the waste
 discharges  of the  carpet  industry, which  in-
 clude high  quantities of both organic  and  in-
 organic  chemicals  (dyes,  pH control agents,
 lubricants,  etc.).  These wastes  require exten-
 sive treatments  prior to discharge  to the
 natural stream system. When the strengths of
 these wastes are considered in the context of
 the  large volume of waste discharged (over 100
 billion gallons of water per year), the potential
                                          360

-------
impact of these discharges on the water quality
of receiving streams, and the costs of treating
the wastes prior to discharge, become very sig-
nificant.
  The solvent dyeing process  does not use
process water. Additionally, the solvents uti-
lized in the process  are reclaimed, not dis-
cha^ged. Consequently, effluent problems and
water quality problems associated with carpet
dyeing (and potentially with all textile dyeing)
could be virtually eliminated through  wide-
scale use of solvent dyeing.
  Nylon fiber is used in nearly 90 percent of
the  carpet now manufactured in the United
States. Since  the  solvent dyeing of nylon is
technically proven, the potential for immediate
water  quality benefits could  be significant in
the carpet industry.
                                                 361

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                RECONSTITUTION  AND REUSE OF DYEBATHS

             Wayne C. Tincher,* Fred L. Cook,* L. Howard Olson,* W. W. Can-t
Abstract

  A  system  for dyeing textiles  has  been
developed that permits reuse of dyebaths for
up to 15 times before the bath is discharged. At
the conclusion of the dyeing cycle the bath is
analyzed and  reconstituted to  the dye and
chemical concentrations required for the next
dyeing.  The system has  been used on a pilot
scale for dyeing nylon and polyester carpet,
nylon hosiery,  and polyester yarn packages. A
plant demonstration of the reuse technology
for hosiery dyeing has been completed. Signifi-
cant reductions in dye (19 percent), chemical (35
percent), water (43 percent), and energy (57per-
cent) requirements were achieved with the
reuse system. The cost of materials and energy
for hosiery dyeing was reduced 37 percent by
reuse of the dyebath.

INTRODUCTION

   The  textile industry  uses approximately
500 x 109 liters (125 billion gallons of water an-
nually (ref. 1). Much of this water is discharged
with appreciable quantities  of organic and in-
organic chemicals  (dyes, pH control agents,
lubricants, surfactants,  auxiliaries) that re-
quire extensive treatment of the wastewater
and  contribute  to  the   pollution problems
associated with textile processing. In the past,
the pollution problem resulting  from textile
processing has been attacked by construction
of waste treatment facilities. As requirements
became more  stringent,  the waste treatment
plant was expanded or  additional  treatment
processes were added  to meet the  standards.
This approach has consumed large  sums of
nonincome-producing capital and has increased
the operating costs of many textile plants.
   In addition to  problems  associated  with
 ' i MI
  •School of Textile Engineering, Georgia Institute  of
   Technology, Atlanta, GA.
  'Engineering Experiment Station, Georgia Institute of
   Technology, Atlanta, GA.
water supply and pollution control, the increas-
ing cost and decreasing supply of energy repre-
sent a major problem for the textile industry.
Energy requirements  for the U.S.  textile in-
dustry in 1971 (most recent comprehensive
data), were equal to approximately  67 million
barrels of oil (ref.  2).  Industry is heavily de-
pendent  on petroleum products  and  natural
gas (the fuel currently  in shortest supply) for a
major part of process energy requirements. If
the industry is to adapt to the shortages or cur-
tailments of energy, new processes or process
modifications must  be implemented on  a broad,
industry-wide scale.
  Two basic types  of procedures are used for
textile coloration—pad-fix (continuous) proc-
esses and exhaust (batch)  processes. Con-
tinuous dyeing is used primarily for long runs
of a given fabric style.  Because of their con-
tinuous nature and the use of relatively small
volumes of dye liquor, these processes tend to
be more efficient  than  batch processes. Ex-
haust processes are generally very inefficient
in their use of chemicals, water, and energy
and generate large  volumes of waste that must
be treated. Despite these disadvantages, the
versatility, ease of control, and  short run
capability of exhaust processes make them
very attractive for coloration of many textile
products.
  A number of different types of batch dyeing
processes (beck dyeing, jet dyeing, jig dyeing,
package dyeing, beam dyeing) are used in the
textile industry. Batch processes were used for
dyeing an estimated 5 billion pounds of textile
fibers and fabrics in 1973 (ref. 3). Batch proc-
esses readily lend themselves to process modi-
fications  that can reduce energy and materials
requirements for dyeing. Such  modifications
were a major objective of this research project.


DEVELOPMENT OF THE REUSE SYSTEM

  In the  conventional batch dyeing process the
dyeing machine is  filled  with water, the goods
to be dyed are entered, and the  fabric moved
through  the bath (or the bath moved through
                                             363

-------
the goods) to saturate the fabric with water.
Chemical auxiliaries such as wetting agents,
pH control agents, leveling  agents, chelating
agents, etc., are then added to the bath fol-
lowed by the dyes. Usually the beck is heated
from ambient to dyeing temperature at a rate
of approximately 2°C (4°F) per minute and
held at the dyeing temperature for the time re-
quired to complete the dyeing. The goods being
dyed are checked for proper shade and if on-
shade, the dyebath is discharged to drain. The
goods are then post-scoured and/or rinsed to
remove incompletely fixed dye. The goods are
removed from the machine  and the machine
refilled with water for the next load.
   If the dyebath is examined before and after
the dyeing cycle, two major changes have oc-
curred. First, most  of the dye has  been re-
moved from the bath by the yarn or fabric and
second, the bath is hot rather than cold. Most
of the auxiliary chemicals added to the bath
are still present in the same condition as they
were at the start of the dyeing cycle. When the
dyebath is discharged to the drain, large quan-
tities of energy, water, and useful chemicals
are lost. A more reasonable procedure would
be to analyze the spent dyebath for remaining
dye, to reconstitute the  bath to the desired
strength, and to reuse it for subsequent dye-
ings.  Reuse of dyebaths in this way should
significantly reduce the  energy,  water, and
chemical requirements in batch dyeing.
   A number of technical problems required
solution before dyebath reuse could be broadly
applied in batch  dyeing. First, an analytical
system had to be  developed to simply, ac-
curately, and economically determine the con-
centration of dyes remaining in the bath. The
analytical technique has to be compatible with
existing dyehouse personnel, space, time, and
equipment constraints. Second, dyeings must
be started at elevated temperatures (~75° C).
The increased rate of dye adsorption from the
bath at these temperatures could lead to spot-
ting and poor levelness in the recycle dyeings.
Third, materials handling procedures had to be
worked out to give scouring, dyeing, and rins-
ing cycles compatible with current plant opera-
ting  procedures.  Fourth,  evaluation pro-
cedures were required to insure that dyeings
in recycle baths were equivalent in quality to
conventionally dyed products.
 Analysis System

   The very  strong absorption of dyes in the
 visible region of the spectrum  provides the
 simplest and most precise method for deter-
 mination  of  dye concentration.  The  absor-
 bance, A, of a dye solution can be related to the
 concentration by the modified Lambert-Beer
 equation (ref. 4):

           A =  logI0II = Kc

 where I0 is the intensity of the visible radiation
 falling on the sample, I is the intensity of the
 radiation transmitted by the sample, K is a con-
 stant including the  path length of  radiation
 through the  sample and a constant related to
 the  absorptivity of  the  sample  at  a  given
 wavelength,  and  c is  the concentration  of the
 absorbing  species. In mixtures of absorbing
 species, the absorbance at any wavelength is
 the sum of the absorbance of each absorbing
 species and is given by:
A   =
K2c2  + K3c3  . .  .
                                      Kncn.
This characteristic of light absorption by dyes
is important in the analysis of dye mixtures of
the type found in spent dyebaths. For such dye
mixtures, the absorbance can be measured at a
number of wavelengths and the concentration
of the dyes determined by simultaneous solu-
tion of a set of linear equations of the type
shown above. The wavelengths selected for the
analysis are generally  those for which one of
the dyes gave a maximum in absorbance.
  A second  procedure for obtaining dye con-
centrations   from  absorbance  data  was
developed for very complex dye mixtures.  In
this procedure the absorbance  of  the  spent
dyebath was measured at 16 equally spaced
wavelengths from 400 to 700 nm. The dye con-
centrations  were  determined from  a  least-
squares fit of the absorbance curve at these 16
wavelengths. A  computer program in  FOR-
TRAN IV was developed to determine the con-
centrations of up to six dyes in  a mixture by
this technique.
  The Lambert-Beer relationship is generally
invalid for absorbing species that  are not in
solution. Most dye classes used in this work
(acid, basic, direct, reactive) are  soluble in the
                                            364

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dyebath and the speetrophotometric analysis
could be carried out directly on the dyebath.
Disperse dyes, however, are not water soluble
and  required development of techniques to
give true dye solutions. In disperse dye anal-
ysis the spent dyebath sample was placed in a
separatory funnel, a measured quantity of an
organic solvent  (benzene or toluene) was add-
ed, and the mixture shaken to extract the dye
into the organic  layer. The speetrophotometric
analysis was then carried out on the dissolved
dye in the organic solvent. Standards for calcu
lation of the K values for disperse dyes were
treated in the same way to insure accuracy of
the procedure.
  Correction for absorbance of species other
than  dyes (background absorbance) was  re-
quired also  in some cases. For dyebaths con-
taining disperse dyes and using  organic sol-
vent extraction, background absorbance pre-
sented  no  problem.  The  absorbing  species
other than dyes remained in the water phase.
For dyes pleasured directly in the dyebath, a
correctio i procedure was necessary. Samples
of the textile product being dyed were treated
in a "blank" bath (a bath containing all chemi-
cals except the dyes) in exactly the same way
that the yarn or fabric would be dyed. Samples
of the blank dyebath were then used to obtain
standard absorption data  for the blank dye-
bath and background K values were calculated
in the same way as described above for dyes.
The  background absorbance  could then  be
treated like another dye. Thus, a dyebath with
three dyes would be treated as if it contained
four dyes  with the  fourth  dye  being  the
background absorbance.
  A  further advantage of spectrophotometers
is the ready availability of a number of low cost
instruments with  sufficient accuracy and  re-
productivity for dyebath analysis. Much of the
work in the  current study was carried out on a
single  beam  grating spectrophotometer
costing approximately  $2,000. The computa-
tions necessary  in the analysis can be conven-
iently carried out on low-cost desk calculators
or microprocessors. The calculations necessary
for a four-dye mixture (or three dyes plus back-
ground) can be  handled on a system  costing
less than $1,000. Even the least-squares fit of
16 points of the absorption spectrum can be
carried out on;  $3,000 minicomputer. Develop-
ment   of  these  low-cost  instrument-
minicomputer  systems is largely  responsible
for consideration of dyebath reuse as a prac-
tical reality for textile dyeing.
  Accurate analysis for dyebath components
other than dyes has not been required. These
dyebath additives  generally control the dye-
bath  environment and  are  not  used up  or
removed during the dyeing cycle. In general,
these components  were added to the  reuse
baths in direct proportion to the  quantity of
makeup water added  to baths between dye-
ings. For example, if 20 percent of the dyebath
was lost during the dyeing (primarily due to re-
moval with the wet goods) then 20 percent of
the original quantities of pH control agents,
wetting agents, etc., was added to the bath be-
ing reused. This  procedure worked very well
for the series of 13 and 14 dyeings in the same
bath.

Evaluation Procedures

  Three important characteristics of textile
products dyed by  the reuse procedure were
measured  to determine if the dyeings were of
acceptable quality—the uniformity, the repro-
ducibility, and  the stability or "fastness."
  The uniformity was assessed by selecting
representative samples from the dyed lot and
determining the color (tristimulus values) on a
standard colorimeter (DIANO^SCE Automate
System). The difference in color of each speci-
men from  the  average color of all specimens
was determined  using the FMC  II color dif-
ference formula (ref. 5). In this system one unit
of color difference  is defined as the minimum
perceptible difference  in color.  Thus, spotting
or unlevel dyeings could be readily identified
by variations in color difference between speci-
mens from the same dyeing.
  Reproducibility of the dyeings  was deter-
mined by  calculation of the color differences
between dyed lots and  a standard dyeing of the
same shade. In this calculation the color dif-
ference was determined from average tristim-
ulus values of each dyed lot compared to a con-
ventional dyeing, again using the FMC II equa-
tion.
  In addition to instrumental measurements,
samples dyed by the reuse procedure were ex-
amined' visually  by expert dyers to further
assess the color uniformity and color repro-
ducibility.
                                              365

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  Dyed  samples  were  also  evaluated  for
resistance to color change by rubbing (crock
fastness), exposure to light (light fastness), and
exposure to  water (wet fastness).  Standard
test methods recommended by the American
Association of Textile Chemists and Colorists
were used in the fastness evaluations.

APPLICATIONS OF THE REUSE SYSTEM

Carpet Dyeing

  Initial studies of dyebath reuse were carried
out on carpet samples. Preliminary bench-scale
studies to evaluate the technical feasibility of
dyeing in spent  baths and to develop the re-
quired analytical techniques were carried out
as  part  of a previously reported (refs. 6,7)
research program. The current work  was
undertaken  to scale-up the  dyebath reuse
system for carpet dyeing. All dyeings were car-
ried out in a  1-m beck capable of dyeing 15-kg
(35-lb) carpet samples. This is the same equip-
ment normally used  in a carpet dyehouse for
development work. Two of the carpet experi-
mental trials—dyeing  of nylon carpet with
disperse dyes and dyeing of polyester carpet
with disperse dyes —are reported here.

Dyeing of Nylon Carpet With Diperse Dyes

  The objective of the  first trial run in the
pilot-scale  experiments  was  to dye nylon
carpet to the same shade five times with reuse
of  the  dyebath.  The carpet  used  in these
studies was tufted from Nylon 6 face yarn with
a polypropylene primary backing. Both regular
nylon and cationic dyeable yarns were used in
the carpet, but these types of yarns were dyed
to essentially the same color with disperse
dyes. The carpet surface  contained both cut
pile and loops.
  Approximately 15  kg (35 Ib) of prescoured
carpet were placed in the standard pilot-scale
1-m beck, cold water was added to give a liquor
ratio of 25:1, approximately 375 1 (100 gallons),
and  the auxiliary chemicals (leveling agent, 1
percent  owf; complexing  agent, 0.5 percent
owf; pH control agent, 1 percent owf) were add-
ed. The carpet was circulated through the bath
for  5 minutes and the dyes required to give a
medium green shade (Disperse Blue 7,0.03 per-
cent owf; Disperse Yellow 3, 0.35 percent owf;
Disperse Red 55, 0.04 percent owf) were added
over a 15-min period. The bath was brought to
the boil at 2° C/minute with direct steam injec-
tion and held  at the boil for 45 minutes. The
carpet was removed by hand  at  95° C and
rinsed three times in a separate machine. The
water volume that was removed by the carpet
and by evaporation (85 liters) was added to the
remaining bath, and only auxiliary chemicals
calculated to bring the added water to the in-
itial concentration of auxiliary chemicals were
added. The residual dye concentrations were
determined  using  the  analytical procedure
detailed above. A second batch of carpet was
placed in the beck after bringing the bath back
to 80° C. The dyestuffs were added to the beck
over a 15-min period at 80° C, the bath was
brought to the boil at 2° C/minute, and the cy-
cle continued as in the first run. The reuse se-
quence was repeated  in three additional runs
to give a total  of five dyed batches.
   The pilot-scale  dyeings  of  nylon  (15-kg
samples) with disperse dyes were evaluated by
color  measurement and color difference cal-
culations exactly as described above. Ten ran-
dom samples were cut  from each of  the five
nylon carpet sections (1m x 2m) that were dyed
medium green in the reuse sequence on the 1-m
beck. Color differences  between the  samples
from the four reuse runs and samples from the
initial (conventional) dyeing were calculated.
The tristimulus values X, Y, and Z were obtain-
ed on the Diano instrument by measuring each
sample three times against  a white tile stan-
dard for a total of 30 color measurements  for
each  carpet length.  The tristimulus values
were  utilized  with the FMC  II  equation to
determine the  end-to-end shade variation of
the  carpets  by  averaging  the tristimulus
values from the 30 measurements and calcu-
lating color differences in MacAdam units bet-
ween the  individual sample  positions  and the
average.   The  average  of  the  tristimulus
values for all 30 measurements of each carpet
section was calculated,  and the color differ-
ences between those averages and the average
tristimulus value for the conventionally dyed
standard were calculated in order to determine
overall lot-to-lot variation.
  Color differences between each of ten in-
dividual measurements  along the carpet sam-
ple and the average for the sample for each of
the pilot-scale  dyeings are shown in Table 1.
                                            366

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               TABLE 1. ENO-TO-END COLOR DIFFERENCES IN MACADAM UNITS OF NYLON
                               CARPET DYED WITH DISPERSE DYES
Position
1
2
3
4
5
6
7
8
9
10
Run 1
1.68
0.67
1.04
1.99
0.35
1.60
0.72
3.39
0.98
1.10
Run II
0.76
1.33
3.90
1.82
3.57
2.38
3.21
0.84
2.53
5.78
Run III
2.61
4.02
0.97
1.00
3.75
3.15
1.41
4.17
1.96
1.23
Run IV
1.81
5.16
3.17
1.90
1.61
2.11
0.76
1.55
3.59
1.52
RunV
0.63
0.40
1.30
1.13
2.14
0.69
0.46
1.79
2.09
1.64
These  data  indicate that  there  is little dif-
ference in end-to-end color variation between
the sample dyed in the conventional manner
(Run 1) and samples dyed in recycled dyebaths
(Runs II to V).
  Reproducibility of dyeings  in the recycled
baths is shown in Table 2. The differences in
color between the first run (conventional dye-
ing) and  dyeings in  the recycled baths  were
determined from the difference in the average
color of each run and the average for Run I. It
is clear from Table 2 that differences in color
for samples dyed in recycled baths are well
within the acceptable commercial range.


Dyeing of Polyester Carpet With Disperse
Dyes

  The second  trial run  was conducted  on
polyester carpet dyed  with disperse  dyes. In
this series three shades in a color line—a light
beige, a  medium  blue,  and  a rust —were
selected for dyeing. These colors were actual
large-volume shades currently being dyed by a
leading carpet firm. The objective of this run
was  to dye polyester carpet seven times (3
beige, 2 blue, 2 rust) in the same dyebath utiliz-
ing the reuse technology. In addition, the run
was  carried out using material handling pro-
cedures that were designed to be compatible
with in-plant dyeing. The following  sequence
was used:
   1. Dye a beige carpet in conventional
      manner,
   2. Pump dyebath to holding tank,
   3. Rinse carpet 1 in beck,
   4. Remove carpet 1 from beck,
   5. Clean fiber from rinse water,
   6. Enter carpet 2 for prescour,
   7. Drop rinse-prescour water,
   8. Pump dyebath to beck,
   9. Dye carpet 2 beige, and
  10. Repeat steps 2 through 9 for carpets 2
      through 7.
                         TABLE 2 BETWEEN SAMPLE COLOR DIFFERENCES FOR
                            PILOT-SCALE DYEING OF NYLON CARPET WITH
                                DISPERSE DYES (IN MACADAM UNITS)
                                  Run
                                    t (control)
                                   IV
                                   V
                                                 Color difference
                                                 versus control
   1.3
   0.4
   0.5
   0.5
                                              367

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The dyebeck was modified by the addition of a
pump and insulated holding tank for this series
of runs. It should also be noted that the final
rinse bath was used to give the subsequent
carpet  a short prescour before dropping the
rinse bath.
  In a typical dyeing in a previously used bath,
the beck was full at the beginning of the cycle
with the final rinse from the previous run (at
70° C). The carpet was entered and allowed to
run for 5 minutes to partially remove tufting
oils and fiber identification tints. The rinse-pre-
scour bath was then dropped and the dyebath
used for dyeing the previous carpet pumped to
the beck from the holding tanks. The dyebath
temperature was 75° C. The bath was made up
to volume with freshwater to give a 20:1 liquor
ratio. The quantities of all auxiliaries (except
carrier) were determined from the volume of
freshwater required and added to the beck.
The carpet was run for 5 minutes, the pH ad-
justed to between 5.0 and 5.2, and the required
quantities of dyes added to the bath over a
15-min period. The carrier (10 percent owf) was
then added slowly over a 15-min  period.  The
dyebath was  raised to the boil at 3° C/minute
and run at the boil for 1 hour. At the end of the
dyeing the bath was returned to the holding
tank and analyzed for the residual dyes.  The
carpet  was post-scoured, rinsed, removed from
the beck, and air-dried.
  Initial inspection of the dyed carpets sug-
gested  that  good color  reproducibility  and
uniformity  had been  achieved. Ten  samples
were cut from each of the dyed samples and the
color measured on the Diano Colorimeter. Each
sample was measured three times to average
variations due to instrument changes and sam-
ple  texture  differences.  Tristimulus values
(X,Y,Z) were calculated from the average of the
'three measurements.
   The base  color of each dyed sample was
determined by averaging the ten values ob-
tained from the ten different samples cut from
each carpet. Color uniformity was evaluated by
calculation of the color difference of each of the
ten samples from the average value for the car-
pet. These results for the seven dyed carpets
are  shown in Table  3. The  color difference
values were calculated using the FMC II color
difference equation.
   Color  differences between the beck-dyed
samples and standards prepared previously in
beaker dyeings by conventional dyeing pro-
cedures have also been determined. In these
calculations the average color for each carpet
was determined from ten measurements, and
in turn, the difference of this average from the
average of ten measurements on the  standard
was determined. These calculations give a mea-
sure of the reproducibility of the dyeings in the
recycled baths and are shown in Table 4. In ad-
dition  to the usual FMC II color differences,
the color  differences in the new C.I.E. 1976
recommended color space, L*a*b*, are shown
for comparison. With the exception of the two
blue  samples,  the  reproducibility  was  ex-
cellent. Reproducibility in the blue samples
            TABLE 3. COLOR UNIFORMITY IN POLYESTER CARPET DYEINGS WITH DYEBATH REUSE
Ae in FMC II units
Sample
number
1
2
3
4
5
6
7
8
9
10
Beige
#1
1.14
2.97
3.30
0.99
0.89
4.28
0.66
3.03
4.59
4.49
Beige E
leige Blue
#2 #3 #1
1.93 1.97 1
.15
2.58 0.97 1.00
0.95 0.87 1
.27
3.40 0.99 0.64
1.89
1.44
0.85
0.93
1.81
.26 0
.96
.70 2.46
.27 2.56
.73 2.02
.33 0.76
1.64 0.74 2.33
Blue
#2
2.37
0.93
0.28
0.89
1.09
1.29
0.94
1.23
1.24
2.82
Rust
#1
1.16
1.51
1.00
0.76
1.42
0.53
2.77
1.39
0.89
2.92
Rust
#2
1.54
0.81
2.86
1.23
2.68
0.47
0.81
2.03
1.82
1.44
                                            368

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                       TABLE 4. COLOR REPRODUCIBILITY IN POLYESTER CARPET
                                  DYEINGS WITH DYEBATH REUSE
Sample
Beige #1
Beige #2
Beige #3
Blue #1
Blue #2
Rust#1
Rust #2
FMCII
Ae
0.44
0.76
0.27
4.85
3.7
1.70
1.80
CIE L*a*b»
Ae
1.22
0.43
0.09
3.64
2.50
1.17
1.25
was at the outer limit of what can be con-
sidered acceptable commercial carpet dyeing.
A comparison of the two blue samples with
each other showed that they were very close
together in color (Ae =  1.44), but different
from the standard. In both blue carpets the
yellow was higher than the standard, and the
samples were lighter than the standard. Addi-
tion of a s.nall quantity of  blue dye would have
corrected this  color  difference between  the
samples  and  the standard.  Since we had
elected to do "no add" dyeing in this series,
this dye-add was not made. A slight modifica-
tion of the dye formula would have corrected
the small difference between the blue samples
and the standard.
  In addition to  instrumental color  measure-
ments, the dyed carpets have been examined
visually by four experienced carpet dyehouse
supervisors.  All  four  agreed  that both  the
nylon and polyester carpet dyeings were ac-
ceptable as first-quality in both color uniformi-
ty and color reproducibility.
  Measurement of the fastness properties of
the dyeings to light, crocking, and water were
also carried out. These results are shown in
Tables 5,6, and 7. All dyeings appeared to have
commercially acceptable fastness properties.

Economic Evaluation of Carpet Dyeing
With Oyebath Reuse

  The energy, materials, and cost savings that
are possible  with  reuse of the dyebath  are
dependent on a number of factors. These in-
clude the type of yarns, the shade being dyed,
the number of times the bath is used, the type
of auxiliary chemicals used, and the tempera-
ture of incoming water. All of these will in-
fluence  the possible reduction in materials,
energy, and cost. Calculations of these savings
have been carried out based  on the two pilot-
scale dyeings of carpet discussed above. These
savings are shown in Table 8. The reductions in
dye, chemical, and water requirements with re-
cycle of the dyebath were determined directly
from the quantities of  materials used in  the
pilot-scale dyeings. Since the beck used was
                   TABLE 5 EVALUATION OF LIGHT FASTNESS FOR POLYESTER CARPET
                           DYED BY THE RECONSTITUTED DYE BATH METHOD
Color
Beige
Beige
Beige
Blue
Blue
Rus'
Ru>r
Dyeing
1
2
3
4
5
6
7
24 hours
5
5
5
5
5
5
5
48 hours
5
5
5
5
5
5
5
72 hours
5
5
5
5
5
5
5
96 hours
4-5
4-5
4-5
5
4-5
5
5
120 hours
4-5
4-5
4-5
4-5

—
                                             369

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   TABLE 6. EVALUATION OF FASTNESS TO DRY
  CROCK FOR POLYESTER CARPETS DYED BY THE
       RECONSTITUTED DYEBATH METHOD
Shade
Beige
Beige
Beige
Blue
Blue
Rust
Rust
Dyeing
number
1
2
3
4
5
6
7
Rating
Sample 1
5
5
5
5
5
5
4-5

Sample 2
5
5
5
5
5
5
4-5
 TABLE 7. EVALUATION OF FASTNESS TO WATER FOR
 POLYESTER CARPETS DYED BY THE RECONSTITUTED
              DYEBATH METHOD
                                                      Shade
                 Dyeing no.
Rating
Beige
Beige
Beige
Blue
Blue
Rust
Rust
1
2
3
4
5
6
7
5
5
5
5
5
5
4-5
                   TABLE 8. REDUCTION IN MATERIALS, ENERGY, AND COST BY REUSE OF
                                   DYEBATHS IN CARPET DYEING

                                    	Reduction in percent	
                                    Nylon, disperse dyes
                                        5 cycles
        Polyester, disperse dyes
             7 cycles
Dyes
Chemicals
Water
Energy
Cost
3
65
34
27
27
7
7
39
27
12
Cost summaries for carpet dyeing
Nylon, disperse dyes
5 cycles
Dyes (data and cost)
Chemicals (data and cost)
Water (data and 45 cents/1,000)
Energy (calc. and $3 per 106 Btu)
Total cost
Cost per pound
Savings percent
Savings cents/pound
Conventional
2.18
1.35
0.45
3.99
$7.97
0.046
27.5
1.3
Reuse
2.11
0.47
0.29
2.91
5.78
0.033
Polyester, disperse dyes
7 cycles
Conventional
10.25
7.29
0.26
5.43
22.93
0.094
12.4
1.2
Reuse
9.70
6.57
0.07
3.74
20.08
0.082
not equipped with energy monitoring devices,
the energy reductions were calculated. An ex-
ample of the energy reduction calculations is
given in Table 9.
  These results suggest that significant reduc-
tions  in  water use, chemical requirements,
energy requirements, and cost can be achieved
by dyeing carpet with reconstitution and recy-
cle of the dyebath.
  The estimated  cost  for a  medium  size
(10-beck) carpet mill to convert 50 percent of
dyeing capacity to the dyebath reuse system is
shown in Table 10. The calculation assumes the
purchase of new  equipment with  a  separate
                                            370

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       TABLE 9. ENERGY SAVINGS FOR PILOT-SCALE DYEINGS NYLON WITH DISPERSE DYES
                                           (5 CYCLES)

      Basis:      35 pounds Carpet samples, 875 pounds water (105 Gallons), 25:1 liquor ratio
                Incoming water at 60° F
                Makeup water required each cycle ~ 25 gallons
                Dyeing temperature 212° F, rinse temperature 120° F
                Efficiency of energy utilization at beck 90 percent
                Reuse entry temperature 170° F
                Steam required to hold at boll 1 pound/gal/h
                Carpet retains 300 percent water between processes

Conventional dyeing

Heat bath 60° to 212° F (152° x 875 pounds x 1.11 x 1 Btu/pound)                    = 14.76 x 104 Btu
Heat carpet 60° to 212 ° F (152° x 35 pounds x 1.11 x 0.5 Btu/pound)                  =  0.30 x 104 Btu
Hold at boil for 45 min. (105 Gal x 1,000 Btu/lbx 0.75 h)                             =  7.88 xlO4 Btu
Rinse at 120° F (60° x 770 pounds x 1.11 - [140 poundsx 92° + 35 poundsx 92°x 0.5]) =  3.68x10* Btu
                                                           Total per cycle       = 26.62 x 104 Btu
                                                           Total 5 cycles        =  1.33 xlO6 Btu
                                                           Btu/pound carpet     = 7,600
Reuse dyeing

Heat makeup water 60° to  170° F (110x100 poundsx 1.11x1 Btu)                   =  1.22 XlO4 Btu
Heat retained prescour water 120° to 170° F (50°x 100 pounds x 1.11 x 1 Btu)           =  0.56 x 104 Btu
Heat bath 170° to 212° F (42° X 875 pounds x 1.11 x 1 Btu/pound)                    =  4.08 x 104 Btu
Heat carpet 120° to 212° F (92° x 35 pounds x 1.11 x 0.5 Btu/pound)                  =   .18 x 104 Btu
Holdatboil45min.(105Galxl,OOOBtu/galx0.75h)                               =7.88  lO^Btu
Rinse at 120° F (60° x 770 pounds X 1.11 - [140 poundsX 92° + 35 pounds x 92° x 0.5]) -  3.68  IQ^Btu
                                                           Total per reuse cycle  = 17.60 x 104 Btu
                                             Total cycles (1 conventional + 4 reuse) =  0.97 xlO6 Btu
                                                          Btu/pound carpet dyed = 5,543
                                     Energy savings - 27 percent
                              Energy savings - 2,057 Btu/pound carpet dyed
                              TABLE 10. PAYBACK ON CAPITAL COSTS
         Basis:         Plant with 10 becks-5 to be modified for reuse
                      Capacity 2,000 pounds per cycle, 6 cycles per day per beck
                      No additional personnel required
                      Swings using dyebath reuse, If per pound of carpet dyed
                      No productivity increases are assumed
Capital costs:
Returns:
Payout:
Hold tanks (new) 20,000 each X 5
Pumps 3,000 each X 5
Piping, valves 1,500 each x 5
Analysis equipment
Total cost
Production 5 becks x 2,000 pounds/beck x 6 cycles/day
Returns par day 60,000 pounds/day x 1* /pound
t129.SOO/$600
100,000
15,000
7,500
7,000
129,500
= 60,000 pounds/day
= $600/day
= 21 6 days
=====
                                                 371

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holding tank and pumping system for each of
the five becks. At an estimated savings of 1
cent per pound  of carpet  dyed (considerably
less than indicated in the previous cost analy-
sis) the payback time for the installation is less
than 1 year.

Batch  Dyeing of Nylon Pantyhose

  Hosiery is colored exclusively by batch dye-
ing processes. The two main types  of equip-
ment utilized are the overhead paddle machine
and the rotating drum machine. In hosiery dye-
ing a very limited range of dyes and auxiliaries
is employed. Thus, hosiery dyeing presented
an excellent opportunity for application of the
reuse dyeing technology.
  Nylon pantyhose dyeing was selected for ini-
tial pilot-scale  studies. Both Nylon 6 and Nylon
66  are  used in pantyhose and both types are
                             dyed to various shades of brown and black with
                             disperse dyes. The same three disperse  dyes
                             are used to produce the majority of shades.
                               An 8-lb rotary drum machine was equipped
                             with a holding  tank and pumping system for
                             the reuse studies. Recipes for three Nylon 66
                             shades  (light, medium, and  dark brown) and
                             two Nylon 6 shades (medium and dark brown)
                             were obtained from a leading hosiery manufac-
                             turer. Preliminary experiments indicated that
                             these shades could be  dyed in  any desired
                             order by reconstitution  and  reuse of the dye-
                             bath. The dyeing procedure  developed for the
                             experimental trial is shown  in Table 11. The
                             first cycle is a conventional dye cycle with each
                             reuse cycle after the first essentially identical.
                             Note that in  the reuse  runs the rinse water
                             from the previous cycle was used for a quick
                             prescour  of the hosiery before dyeing. This
                             prescour was used to partially remove knitting
                  TABLE 11. PROCEDURE FOR DYEING PANTYHOSE WITH DYEBATH REUSE

                     I.  Dyeing batch I — Conventional cycle
                         1.  Load machine
                         2.  Fill with cold water, raise to 90° F
                         3.  Add auxiliary chemicals (1 percent dyeing assistant, 1 percent leveling agent,
                            0.5 percent wetting agent)  run  10 minutes
                         4.  Add dyes
                         5.  Raise temperature 3° F/minute to 170° F
                         6.  Run 20 minutes at 170° F
                         7.  Sample, make adds if necessary
                         8.  Pump dyebath to holding tank, sample and analyze
                         9.  Refill with cold water
                        10.  Heat rapidly to 110°F
                        11.  Add softener and run 10 minutes at 110° F
                        12.  Unload machine
                        Dyeing batch II - Reuse cycle
                         1.  Load machine
                            Add prescour chemical (1 percent dyeing assistant) to finish bath in machine
                            Run 5 minutes
                            Discharge finish-prescour bath to drain
                            Pump dyebath from holding tank to dyeing machine
                            Add necessary auxiliaries to reconstitute the bath
                            Add dyes to reconstitute the bath slowly from add tank MO minutes)
                            Raise temperature 3° F/minute to 170° F
 2.
 3.
 4.
 5.
 6.
 7.
 8.
 9.
10.
11.
12.
                           Run 20 minutes at 170  F
                           Sample, make adds if necessary
                           Pump dyebath to holding tank, sample and analyze
                           Finish as above (Steps 9-12)
                   111.   Dyeing batches 111, IV, V, etc. - Same as batch 11
                                               372

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oils and fiber finish that could build up in the
dyebath and affect the reuse dyeing.
  The fibers and shade dyed in the pilot-scale
run are shown in Table 12. Approximately 8
pounds of pantyhose were dyed in each run. All
shades were dyed with the same red, yellow,
and blue disperse dyes. It should be noted that
both fiber  types  and light and dark shades
were randomly mixed during the 13 runs.
  Five  specimens were cut from  the legs  of
each  of three pairs  of pantyhose randomly
chosen from each of the 13 runs and the colors
of each specimen measured on the Diano LSCE
Automate. Color differences were calculated
between the samples from each run and plant
standards for each  of the shades. These color
differences (calculated by the FMC II equation)
are shown in Table 12. Similar measurements
on color tolerance standards used by the plant
for two of the shades gave a color difference of
7.8 for  the Medium II shade  and 2.9 for the
Dark II shade. Thus, color differences for the
reuse dyeinps were  well  within  commercial
standards for those shades. In fact, all dyeings
were well within normally accepted standards
for hosiery dyeing. The  dyed hosiery were
returned to  the participating company and
were shipped as first-quality goods.
PLANT DEMONSTRATION OF DYEBATH
REUSE TECHNOLOGY

  Based on the successful pilot-scale work on
dyeing  with  reconstitution  and  reuse   of
dyebaths,  a  plant-scale demonstration of the
reuse technology has been conducted. The
demonstration was carried out in the dyehouse
of the  Ladies' Wear Division of  the Adams-
Millis Hosiery Company.
  A  standard  45-kg (100-lb)  rotary  drum
machine was modified by addition of a holding
tank, pumping system, water meter, and steam
measuring equipment. The machine had  been
equipped previously with a temperature con-
trol system and an add tank. Thus, the dyeing
machine could be operated in both the conven-
tional manner and in the dyebath reuse mode
with monitoring of all materials and energy in-
puts. In addition to machine modification, the
dyehouse laboratory purchased a Bausch and
Lomb Spectronic 100 spectrophotometer and a
Hewlett-Packard Model Number 9815A compu-
ter for  use in dyebath analysis.  Cost of the
analytical  equipment and computer was ap-
proximately $7,000.  An interface  was  con-
structed so that the computer could read ab-
sorbance data directly from the  spectropho-
                     TABLE 12. DYEING OF NYLON PANTYHOSE WITH DYEBATH REUSE
Run
number
1
2
3
4
5
6
7
8
9
10
11
12
T3
Fiber
type
66
66
6
6
66
66
66
6
6
66
66
6
66
Shade*
Light 1
Medium 1
Medium II
Dark II
Dark!
Light 1
Medium 1
Medium II
Dark II
Dark!
Light 1
Medium II
Light 1
Color difference
versus standard
2.0
4.2
2.9
1.9
2.8
2.0
3.0
2.2
2.4
2.4
3.0
3.4
4.2
                    *A total of 5 shades were utilized. The numeral I refers to a Nylon 66 shade,
                    and the numeral II refers to a Nylon 6 shade.
                                             373

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tometer. Programs were written to permit the
computer to calculate and print out  the quan-
tities of dyes and auxiliary chemicals  needed to
reconstitute the spent dyebath  to  the  level
desired for the subsequent dyeing.
  Before beginning the reuse study, 15 conven-
tional dye cycles were run to provide baseline
data for comparison with the reuse dyeings.
Energy, water,  dye, and  chemical require-
ments for pantyhose dyeings were determined
from this  15-cycle run.
  Following the 15 conventional dye cycles, 3
series of dyeings were carried out with recon-
stitution and reuse of the dyebath. In the first
series the dyebath was used five times before
discharge to drain. This series served to check
out the reuse system and establish operating
procedures. The second series consisted of 17
dyeings in the same dyebath. In this series the
rinse  water from  each cycle was used to
prescour the next load to be dyed similar to t he
laboratory  dyeings.  The third  series,  con-
sisting of 14 dyeings in the same bath, was con-
ducted in the same manner as Series II except
that the hosiery was not scoured before dye-
ing. Materials and energy requirements for the
reuse dyeings were monitored in exactly the
same way as the conventional dyeings.
  The sequence of dyeings in the  Series II,
17-cycle run, is shown in Table 13. It should be
noted that both fiber types and light and dark
shades were indiscriminately mixed in the run.
   TABLE 13. SERIES II SEVENTEEN REUSE CYCLES
21
22R
23R
24R
25R
26R
27 R
28 R
29 R
30R
SIR
32R
33R
34R
35 R
36R
37 R
Nylon 66
Nylon 66
Nylon 6
Nylon 6
Nylon 66
Nylon 66
Nylon 6
Nylon 66
Nylon 6
Nylon 6
Nylon 66
Nylon 66
Nylon 6
Nylon 6
Nylon 66
Nylon 66
Nylon 66
Light shade
Medium shade
Medium shade
Dark shade
Dark shade
Light shade
Medium shade
Light shade
Medium shade
Dark shade
Light shade
Medium shade
Medium shade
Dark shade
Medium shade
Light shade
Medium shade
No problems were encountered in dyeing a
light shade following a dark shade.
  The materials and energy requirements for
the 15-cycle conventional dye series and for the
17- and 14-cycle reuse series  combined  are
shown in Table 14. It is apparent that the reuse
dyeings gave substantial reduction in energy,
water, chemical,  and dye requirements. The
dye savings are related, of course, to the par-
ticular shades dyed in the various runs  but
reduction in chemicals, water, and  energy are
essentially  independent of the shades being
dyed. Cost reductions achievable with reuse
dyeing are shown in Table 15. Dyeing costs
were calculated using current  quoted prices
for chemicals, dyes, energy, water, and sewer
service.
  Several important  aspects of plant imple-
mentation of dyebath reuse were revealed by
the  demonstration runs.  First, the analysis
time was reduced during the course of the dem-
onstration from 30 minutes to approximately
10 to 15 minutes with no apparent loss in re-
quired accuracy. In this time the analysis could
be readily completed during the usual rinse cy-
cle and  the dyes weighed and readied for the
next load.
  Second, the third series of dyeings indicated
that prescouring of the hosiery was unneces-
sary. No differences in the analysis of the bath
or the quality of the dyeings were detected in
the third series. Removal of the prescour step
provided a dyeing cycle more compatible with
the normal plant operation. About the only dif-
ference in  Series III runs and conventional
runs was that at the conclusion of dyeing; the
dyebath was pumped to a holding tank rather
than being discharged to  the  drain and the
beck was filled with used dyebath rather than
freshwater in the subsequent cycle.
   Careful records were kept of the number of
adds required to produce the desired shade in
both conventional and reuse dyeings. Savings
from dyebath reuse  could be  rapidly lost if
more adds were necessary in reuse dyeings.
The 15  conventional cycles required a total of
11 adds for an add rate of 0.73 adds per cycle.
The 31 reuse cycles required 12 adds for a rate
of  0.39  adds per cycle. Thus, the number of
adds required in the reuse dyeings was actual-
ly 47 percent less.
   The hosiery dyeing plant runs clearly dem-
onstrated  that reuse dyeing  can be  incor-
                                             374

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                      TABLE 14. MATERIALS AMD ENERGY REDUCTION REUSE DYEING

                    Energy
                    Water
                            Conventional
                            Reuse
                            Reduction
                            Conventional
                            Reuse
                            Reduction
                    Chemicals
                    Dyes
                            Conventional
                            Reuse
                            Reduction
                            Conventional
                            Reuse
                            Reduction
2.18 pounds steam/pound fiber dyed
0.94 pounds steam/pound fiber dyed
57 percent
4.08 gallons/pound fiber dyed
2.31 gallons/pound fiber dyed
43 percent
1.17 ounces/pound fiber dyed
0.76 ounces/pound fiber dyed
35 percent
0.0058 pounds/pound fiber dyed
0.0047 pounds/pound fiber dyed
19 percent
                           TABLE 15. ENERGY AND MATERIAL COST REDUCTION
                                          IN REUSE DYEINGS

                                Cost per dye cycle:
                                     Conventional               $4.66
                                     Reuse                     $2.98

                                Cost per pound of fiber dyed:
                                     Conventional                5.25 if
                                     Reuse                      3.28 if

                                Cost reduction:                   37 percent
porated in a commercial operation with no loss
in quality or productivity and with substantial
savings in materials and energy  costs. Addi-
tional plant demonstrations of the reuse tech-
nology are planned for carpet dyeing and for
dyeing  of  polyester/cotton blend   yarn
packages.  Laboratory  work is also being car-
ried out on jet dyeing of knit fabrics.
ACKNOWLEDGMENTS

  The authors gratefully acknowledge the fun-
        ding of this work by the U.S. Department of
        Energy. Further details on reuse technology
        will appear in reports issued by  that depart-
        ment.
          The plant demonstration phase  of this work
        was made possible by  the generous  support
        and assistance of the management and person-
        nel of the Adams-Millis Hosiery Company.
          The substantial contributions to the labora-
        tory  phase of  the  project  by  Mrs.  Lynn
        Averette and  Mr. Jimmy  Wadia,  student
        research  assistants,  are  gratefully acknow-
        ledged.
                                                375

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REFERENCES

1.   U.S. Environmental Protection Agency,
    "In-Plant Control of Pollution: Upgrading
    Textile Operations to Reduce Pollution,"
    Environmental Protection Agency Tech-
    nology Transfer Seminar Publication,
    EPA-62513-74-004, October 1974.
2.   J. F. Lowry, et al., "Energy Conservation
    in the Textile Industry," Phase I Technical
    Report, Department of Energy Project,
    E(40-l)-5099, Engineering Experiment Sta-
    tion,  Georgia Institute  of Technology,
    Atlanta, GA, p. 36, April 1977.
3.   J. F. Lowry, "Energy Conservation in the
    Textile  Industry," Phase  I Technical
    Report, Department of Energy Project,
    E(40-l)-5099, Engineering Experiment Sta-
    tion, Georgia Institute  of Technology,
    Atlanta, GA, p. 29, April 1977.
4.  C. Giles, Notes for a Laboratory Course in
    Dyeing, Society of Dyers and Colorists,
    Yorkshire, England, p. 53,1966.
5.  D. B. Judd and G. Wyszecki, Color in
    Business, Science and Industry, Third Edi-
    tion, John Wiley and Sons, New York,
    p. 322,1957.
6.  W. C. Tincher, "Conservation of Water,
    Chemicals and  Energy in Dyeing Nylon
    Carpet,"  Final Technical  Report
    ERC-07-77, Office of Water Research and
    Technology Project A-064-GA, School of
    Textile Engineering, Georgia Institute of
    Technology, Atlanta, GA, November 1977.
7.  W.  C.  Tincher,  American  Dyestuff
    Reporter, Vol. 66, No. 5, p. 36, 1977.
                                          376

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                                TECHNICAL REPORT DATA
                         (Please read Instructions on the reverse before ct
EPA-600/2..79-TfU
                                                     3. RECIPIENT'S ACCESSION NO.
      \ND SUBTITLE
	-"^WVV^ktlllftH^

Symposium Proceedings: Textile Industry Technology
(December 1978, Williamsburg, VA)
                                5. REPORT DATE
                                May 1979
                                6. PERFORMING ORGANIZATION CODE
     1OR1S)
Frank A. Ayers (Compiler)
                                                     8. PERFORMING ORGANIZATION REPORT NO.
  'ERFORMING ORGANIZATION NAME AND ADDRESS   ~
Research Triangle Institute
P.O. Box 12194
Research Triangle Park, North Carolina 27709
                                10. PROGRAM ELEMENT NO.
                                1AB604 and 1BB610
                                11. CONTRACT/GRANT NO.	

                                68-02-2612, Task 37
 12. SPONSORING AGENCY NAME AND ADDRESS
 EPA, Office of Research and Development
 Industrial Environmental Research Laboratory
 Research Triangle Park, NC 27711
                                13. TYPE OF REPORT AND PERIOD COVERED
                                Proceedings; 11/77 - 3/79
                                14. SPONSORING AGENCY CODE
                                 EPA/600/13
 15. SUPPLEMENTARY NOTES ffiRL-RTP project officer is MaxSamfield, Mail Drop 62,  919/-
 541-2547.
 16. ABSTRACT The pj.^^^^ document most of the approximately 40 presentations at
 the symposium, December 5-6, 1978, at Williamsburg, VA. The symposium, spon-
 sored by EPA/IERL-RTP's Chemical Processes Branch, provided an exchange of
 ideas between industry, government, and academic representatives in three related
 areas: emissions control, energy conservation, and material recovery. There was
 also a session on assessment methodology.  This was the first symposium on textile
 industry technology sponsored solely by the U.S. EPA.  It represents EPA's most
 extensive technology transfer activity dedicated to support the attainment of pollution
 control and energy and material conservation.
17.
                             KEY WORDS AND DOCUMENT ANALYSIS
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 Emission
 Conservation
 Energy
 Materials Recovery
Assessments
Pollution Control
Stationary Sources
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