EPA820-B-80-100
               DEVELOPMENT DOCUMENT

                        FOR

EFFLUENT LIMITATIONS  GUIDELINES  AND STANDARDS

                     FOR  THE

           AUTO  AND OTHER LAUNDRIES

             POINT SOURCE CATEGORY
                 Douglas M.  Costle
                   AdmIn!s t ra to r
             Robert B. Schaffer, Director
             Effluent Guidelines Division

              G. Edward Stigall, Chief
   Inorganic Chemicals and Service Industries  Branch

                  Elwood E. Martin
                    David Pepson
                  Project Officers
                    October  1980
            Effluent Guidelines Division
         Office of Water and Waste Management
         U.S. Environmental Protection Agency
               Washington, D.C. 20460

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                         TABLE OF CONTENTS
Chapter Titles
LIST OF FIGURES.	. . . . .vii

LIST OF TABLES  ............................................... .ix

SECTION 1 EXECUTIVE SUMMARY  ................	............ .1

     1.1   SUMMARY AND CONCLUSIONS . . . . . . .... ................ .1
     1.2   EFFLUENT STANDARDS	2

SECTION 2 INTRODUCTION	5

     2.1   PURPOSE AND AUTHORITY  . . .	5
     2.2   GENERAL CRITERIA FOR EFFLUENT LIMITATIONS ....... 7
          2.2.1    BPT Effluent Limitations ...............  .7
          2.2.2    BAT Effluent Limitations	 7
          2.2.3    BCT Effluent Limitations	 8
          2.2.4    New Source Performance Standards  ..........  .8
          2.2.5    Pretreatment Standards for Existing Sources	.8
          2.2.6    Pretreatment Standards for New Sources	  . 9
     2.3   OVERVIEW OF INDUSTRY	9
     2.4   SUMMARY OF METHODOLOGY . . . .		.  .10


SECTION 3 DESCRIPTION OF THE INDUSTRY	  .11

     3.1   DEFINITION AND GROWTH TRENDS	 .	.11
          3.1.1    Power Laundries, Family and Commercial (SIC 7211) .....12
          3.1.2    Linen Supply (SIC 7213) .........................  .12
          3.1.3    Diaper Service (SIC 7214) ........................  .13
          3.1.4    Coin-Operated Laundries and Dry Cleaning (SIC 7215) ....  .13
          3.1.5    Dry-Cleaning Plants  Except Rug Cleaning (SIC 7216)   . .. .  .13
          3.1.6    Carpet  and Upholstery Cleaners (SIC 7217)  ...........  .14
          3.1.7    Industrial  Laundries (SIC 7218) .............	...  .14
          3.1.8    Laundry and Garment Services Not Elsewhere Classified
                  (SIC 7219)  ..................	............  .14
          3.1.9    Car Washes (SIC 7542) ........	..............  .15
     3.2   INDUSTRY PROCESSES		...  .15
          3.2.1    Laundering	  .15
          3.2.2    Dry Cleaning	18

                                  iii

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                        Table of Contents - continued
           3.2.3    Dual Phase Processing   	20
           3.2.4    Carpet and Upholstery Cleaning  	20
           3.2.5    Auto Laundry   	21


SECTION ^ INDUSTRY SUBCATEGORIZATION	23

     4.1   FACTORS CONSIDERED FOR SUBCATEGORIZATION	.23
           4.1.1    General Types of Cleaning Processes Employed	23
           4.1.2    Types of Garments and Flatwork Articles Cleaned	25
           4.1.3    Types of Laundering Chemicals Used	„  .  26
           4.1.4    Age and Design of Equipment	28
           4.1.5    Operating Schedules	28
           4.1.6    Geographical Location	30
     4.2   GENERAL CONCLUSIONS	30

SECTION 5 WASTEWATER CHARACTERISTICS OF THE AUTO AND
           OTHER LAUNDRIES INDUSTRY.	31

     5.1   WASTEWATER SOURCES AND QUANTITIES	 .31
           5.1.1    Sources of Wastewaters  	31
           5.1.2    Volumes of Wastewater Discharged	34
     5.2   WASTEWATER CHARACTERISTICS          	36
           5.2.1    Conventional and Nonconventional Pollutants   	37
                    5.2.1.1     Industrial Laundries	 .39
                    5.2.1.2     Linen Supplies  	42
                    5.2.1.3     Power Laundries, Family and Commercial   . .. .45
                    5.2.1.4     Diaper Services  	47
                    5.2.1.5     Coin-Operated Laundries   	47
                 i   5.2.1.6     Carpet and Upholstery Cleaners   	47
                    5.2.1.7     Dry-Cleaning Plants  	47
                    5.2.1.8     Car Washes   	52
           5.2.2    Toxic Pollutants    	52
                    5.2.2.1     Industrial Laundries   	60
                    5.2.2.2     Linen Supplies  	63
                    5.2.2.3     Power Laundries, Family and Commercial   . . . .65
                    5.2.2.4     Diaper Services  	.65
                    5.2.2.5     Coin-Operated Laundries   	65
                    5.2.2.6     Carpet and Upholstery Cleaners   	69
                    5.2.2.7     Dry-Cleaning Plants  	69
                    5.2.2.8     Car Washes   	69
     5.3   DISCHARGE TYPES	69
                                     IV

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                       Table of Contents - continued
SECTION 6  SELECTION OF SUBCATEGORIES AND POLLUTANTS
           FOR REGULATION	  .77

     6,1    SELECTED SUBCATEGORIES AND POLLUTANTS  .......  .77
           6.1.1    Industrial Laundries	...........77
           6.1.2    Linen Supply	....*,.......  .78
     6.2    EXCLUDED SUBCATEGORIES AND POLLUTANTS .......  .78
           6.2.1    Excluded Subcategories  ...............  .78
                   6.2.1.1     Power Laundries, Family and Commercial  .  .  .78
                   6.2.1.2     Diaper Services	  .78
                   6.2.1.3     Coin-operated Laundries and Dry-cleaning  0  „  .79
                   6.2.1.4     Dry-cleaning Plants, Except Rug Cleaning  .  .  .79
                   6.2.1.5     Carpet and Upholstery Cleaning.  .  .  „  .  .  .  08Q
                   6.2.1.6     Laundry and Garment  Services, Not Elsewhere
                             Classified	80
                   6.2.1.7     Car Wash Establishments	  .  .80
           6.2.2    Specific Pollutants Excluded from the Industrial Laundry
                   and Linen Supply Subcategories	...81
                   6.2.2.1     Toxic Metals	  .81
                   6.2.2.2     Toxic Organics	  .81

SECTION 7  CONTROL AND TREATMENT  TECHNOLOGY	 . .83

     7.1    PRETREATMENT TECHNOLOGY	 .84
           7.1.1    Conventional Technology  .....-.........;.......... .84
                   7.1.1.1     Solids Removal  ....................... .84
                   7.1.1.2     Free Oil Removal	 .86
                   7.1.1.3     Temperature Control  ................... .86
                   7.1.1.4     Capabilities of Conventional Technology  .... .86
           7.1.2    Incompatible Pollutant Removal - Presently Applied
                   Technology  ......'.................'........... .88
                   7.1.2.1     General Treatment Strategy  ........ „ ..... .88
           7.1.3    Incompatible Pollutant Removal - Potentially Applicable
                   Technology	 .92
                   7.1.3.1     Gravity Settling .........''...  .  .  . .  94
                   7.1.3.2     Filtration .....'............  94
                   7.1.3.3     Ultrafiltration	 .94
                   7.1.3.4     Diatomaceous Earth Filtration	 .95
                   7.1.3.5     Electrocoagulation   ................... .95
                   7,1.3.6     Other Technologies   . .................. .96
           7.1.4    Space Availability ...,..„..„.....    .    96
     7.2    TREATMENT FOR DIRECT DISCHARGE .................... .96
           7.2.1    Primary Treatment  .............. „ . ........ . «, „ . „ .98
           7.2.2    Secondary Treatment   . , . . . . .................... .98
                   7.2.2.1     Biological  Treatment	 . .98
                   7.2.2.2     Other Technologies	 .100

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                       Table of Contents - continued
     7.3    RECYCLE/REUSE TECHNOLOGY		103
     7.4    SLUDGE HANDLING AND DISPOSAL	10*
           7.4.1    Sludge Dewatering	104
                   7.4.1.1    Rotary Vacuum Filters	104
                   7.4.1.2    Screw Presses  	."	105
           7.4.2    Sludge Quantity	105
           7.4.3    Disposal Techniques	  .105

SECTION 8  COSTS OF TREATMENT SYSTEMS	107
     8.1    CAPITAL AND ANNUAL TREATMENT COSTS
           ESTIMATE SUMMARY	107
     8.2    COST BASIS	112
           8.2.1    Dissolved Air Flotation Treatment Systems	112
                   8.2.1.1    Capital Cost Estimate	112
                   8.2.1.2    Annual Treatment Cost Estimates	116
           8.2.2    Biological Treatment Systems	122
                   8.2.2.1    Trickling Filters	122
                        8.2.2.1.1     Capital Cost Estimate	122
                        8.2.2.1.2     Annual Cost Estimate	122
                   8.2.2.2    Aerobic-Anaerobic Stabilization Ponds ....  126
                        8.2.2.2.1     Capital Cost Estimate	126
                        8.2.2.2.2     Annual Cost Estimate	126
     8.3    ENERGY CONSUMPTION	126
     8.4    SLUDGE MANAGEMENT. . .	131
     8.5    OTHER NONWATER QUALITY ASPECTS	131

SECTION 9  SELECTION OF APPROPRIATE CONTROL AND TREATMENT
           TECHNOLOGY AND BASIS FOR LIMITATIONS	  133
     9.1    PRETREATMENT STANDARDS FOR EXISTING AND
           NEW SOURCES	133
           9.1.1    Technology Basis	133
           9.1.2    Pollutants to be Regulated	135
           9.1.3    Statistical Methodology	135
     9.2    NEW SOURCE PERFORMANCE STANDARDS	147
           9.2.1    Technology Basis	147
           9.2.2    Pollutants to be Regulated	147
           9.2.3    Basis for Numerical Limitations	152

REFERENCES	R-l

APPENDIX  A BASIS FOR EXCLUSION OF TOXIC POLLUTANTS	A-l

APPENDIX  B SURVEY OF THE AVAILABILITY OF SPACE FOR WASTE WATER
           TREATMENT AT INDUSTRIAL LAUNDRIES	B-l

APPENDIX  C LAUNDRY WASTEWATER TREATABILITY DATA	C-l
                                    VI

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                        LIST OF FIGURES
7-1


8-1


8-2


8-3
DAF treatment system for laundry wastewater using
recycle flow pressurization  -  -
                                                                      .89
Total capital cost estimates for pretreatment of laundry
wastewaters with DAF . ....................... 110

Total annual cost estimates for pretreatment of laundry
wastewaters with DAF .......................111

Total capital cost estimates for direct discharge treatment
with DAF treatment plus a trickling filter or a stabilization pond  .... 114

Total annual cost estimates for direct discharge treatment of
laundry wastewaters .  .....  ....  ..........  .... 115
8-5

8-6


8-7


8-8

8-9

8-10


8-11

8-12


9-1
Annual chemical costs for DAF treatment of laundry wastewaters . ...  117


                                                                      118
Daily sludge generation rates for DAF treatment of laundry
wastewaters.  .....................
Annual sludge disposal savings for dewatered sludge versus annual
amortized cost of sludge dewatering equipment ......  ...... •  120

Annual sludge disposal costs for DAF treatment of laundry wastewaters . .121

Capital cost for trickling filter treatment of laundry wastewaters  .  . . .124
Total annual costs for trickling filter treatment of laundry
wastewaters  ....................
                                                                      125
Capital costs for stabilization pond treatment of laundry wastewaters. .  .127


                                                            ..... 128
Total annual costs for stabilization pond treatment of laundry
wastewaters  .  . •  .-". ................
Cumulative distribution of daily concentrations from industrial
laundry treated effluent  ......... .................... ...... 141

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                              LIST OF FIGURES
9-2  Cumulative distribution of daily concentrations-from industrial
     laundry treated effluent	
 Page


. .142
9-3  Cumulative distribution of daily concentrations from industrial
     industrial laundry treated effluent	
     Cumulative distribution of daily concentrations from industrial
     laundry treated effluent	
 .144
9-5  Estimated performance of proposed DAF treatment  	148

9-6  estimated performance of proposed DAF treatment  	149

9-7  Estimated performance of proposed DAF treatment  	150

9-8  Estimated performance of proposed DAF treatment  	151
                                      Vlll

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                       LIST OF TABLES
                                                                Page
1-1

1-2

3-1
4-2


4-3


4-4


5-1

5-2


5-3


5-4


5-5


5-6


5-7
Pretreatment Standards New and Existing Sources  ................. .3

Proposed New Source Performance Standards   .................... .4

SIC Categories of the Laundry Industry  ......................... .11

General Types of Cleaning Processes Used by Industrial Laundries,
Linen Supplies, and Power Laundries ... ...... . .............. ... .24

General Types of Garments and Flatwork Articles Handled by
Industrial Laundries, Linen Supplies, and Power Laundries ............. 25

Classification of Chemicals Used by Power Laundries, Linen Supplies,
Industrial Laundries, and Diaper Services ............... 27

General Types of Chemicals Used in Laundering Selected
Garments and Flatwork Articles  ...........  .....  ... 29
      Reported Process Wastewater Discharge Rates, by Subcategory

      Conventional and Nonconventional Pollutant Concentrations in
      Industrial Laundry Wastewaters	
                                                                  .32
                                                                  .40
Conventional and Nonconventional Pollutant Concentration in
Domestic Sewage	
                                                                        .41
Variability of Conventional Pollutant Loadings in Wastewater
from One Industrial Laundry   ................................ .43
Conventional and Nonconventional Pollutant Concentrations in
Linen Laundry Wastewaters ..........................
                                                                        .44
 Conventional and Nonconventional Pollutant Concentrations in
 Power Laundry Wastewaters	 .46
 Conventional and Nonconventional Pollutant Concentrations in
 Diaper Laundry Wastewaters  	
                                                                        .48
                               ix

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                         LIST OF TABLES - continued
                                                                         Page
5-8


5-9


5-10


5-11


5-12


5-13

5-1*


5-15

5-16


5-17


5-18


5-19


5-20


5-21

5-22


5-23
Conventional and Nonconventional Pollutant Concentrations in
Coin-Operated Laundry Wastewaters    	
Conventional and Nonconventional Pollutant Concentrations in
Wastewater from One Carpet-Cleaning Plant    	50

Conventional and Nonconventional Pollutant Concentrations in
Wastewater from One Dry-Cleaning Plant	51

Conventional and Nonconventional Pollutant Concentrations in
Rollover, Wand, and Tunnel Type Car Wash Wastewaters	 .53

Conventional and Nonconventional Pollutant Concentrations in
Tunnel Type Car Wash Raw Wash and Rinse Wastewaters	54

EPA Toxic Pollutants	55

Toxic Pollutant Concentrations and Loadings in Industrial Laundry
Wastewaters	61
Toxic Pollutants in Laundry Water Supplies	62


                                                    	64
Toxic Pollutant Concentrations and Loadings in Linen
Laundry Wastewaters	
Toxic Pollutant Concentrations and Loadings in Power
Laundry Wastewaters	66

Toxic Pollutant Concentrations and Loadings in Diaper
Laundry Wastewaters	.67

Toxic Pollutant Concentrations and Loadings in Coin-Operated
Laundry Wastewaters	68

Toxic Pollutant Concentrations in Wastewater from One Carpet-
Cleaning Plant   	71

Toxic Pollutant Concentrations in Dry-Cleaning Plant Wastewaters  ...  72

Toxic Pollutant Concentrations and Loadings in Wand Type Car Wash
Raw Wastewaters   	73
Toxic Pollutant Concentrations and Loadings in Rollover Type Car
Wash Raw Wastewaters   	,
                                                                          .74
                                      X

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                        LIST OF TABLES - continued
                                                                       Page
5-24


5-25

7-1

7-2

7-3

7-14


7-5

7-6


7-7


7-8


7-9


8-1

8-2


8-3
Toxic Pollutant Concentrations and Loadings in Tunnel Type Car
Wash Raw Wastewaters	 .... .
 .75
8-5

8-6

8-7

9-1
Number of Direct Dischargers in the Laundry Industry	 . .76

Estimated Percent of Laundries Having Control Technology  .......... .85

Results of Conventional Treatment System	.87

Area Requirements for Laundry Wastewater Equalization	 „ . .90
Summary of Pollutant Removal Efficiencies at Selected Plants Using
DAF Technology	 . . . .	
Area Requirements for PCS's
Characterization of Laundry Wastewater After Physical-Chemical
Treatment	
 .93

 .97


 .99
Effluent Concentrations for Lagoons Treating Wastewater from
Coin-Op Laundries	101

Performance for Trickling Filters Treating Wastewater from Coin-Op
Laundries	102

Sludge Quantities Resulting from the Physical-Chemical  Treatment of
Industrial Laundry Wastewater	<>....	 .106
Treatment Options for Laundry Wastewaters
. 108
Capital and Annual Treatment Cost Estimates and Totals for
Pretreatment of Laundry Wastewaters with DAF  ...........  .,109

Capital and Annual Cost Estimates and Totals for Treatment of Laundry
Wastewaters for Direct Discharge (with Biological Treatment)  .  .  „  .  . 113
      Summary of Annual Treatment Cost Estimates for DAF Treatment
      of Laundry Wastewater ...................
                                                                  123
Annual Electricity Consumption by Pretreatment ........... 129

Annual Electricity Consumption at Laundries	„  .  „  .  .  .  .  . 130

Amount of Sludge Generated per Year by Pretreatment	 132

Pretreatment Standards New and Existing Sources	 .134

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                         LIST OF TABLES - continued
                                                                         Page
9-2   Statistical Summary of Treatment Data for Plant Z   	137

9-3   Statistical Summary of Treatment Data for Seven Industrial
      Laundries	 . .138

9-*   Statistical Summary of Treatment Data for Ail Industrial Laundries	139
                                     Xll

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                           ACKNOWLEDGEMENTS

     The technical development document supporting the proposed regulations was
prepared by  Jacobs Environmental Division  of  Jacobs Engineering Group  Inc. of
Pasadena, California, under the direction  of Mr. Henry Cruse, Vice President, and
Ms.   Bonnie Parrott, Project Manager.    Major  contributors were  Mr. Thomas
Schaffer, Mr. Dennis Merklin, Mr. William Ray,  Dr. Ben Edmondson, and Ms. Jane
Palmer.

     Previous contractors providing substantial support data and draft  reports were
Monsanto Research Corporation  of  Dayton, Ohio, and  Colin  A.  Houston  and
Associates Inc. of Mamaroneck, New York.

     We  would like to express  our  appreciation  to  the Institute of  Industrial
Launderers, the  Textile Rental Services Association of America, the International
Car  Wash Association and numerous  individual  corporations for  their cooperation
and  assistance in providing review and comments.   The many company and  plant
personnel who submitted information and opened their facilities to project members
are greatly appreciated.
                                     xzn

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                                  SECTION 1
                            EXECUTIVE SUMMARY
1.1  SUMMARY AND CONCLUSIONS

     For the purpose of establishing discharge limitation guidelines and standards, a
study of the  Autos  and Other Laundries  industrial  point  source category  was
undertaken. The industry was subcategorized into the following segments;

     o     Industrial laundries

     o     Linen supply
                      ».
     o     Power laundries, family and commercial

     o     Diaper service

     o     Dry cleaning plants, except rug cleaning

     o     Carpet and upholstery cleaning

     o     Coin-operated laundries and dry cleaning

     o     Laundry and garment services not elsewhere classified

     o     Car wash establishments

     Sampling and analysis  of discharges  from this  industry  showed that  toxic
pollutants,  both  inorganic  and  organic,  occur  in  the  wastewaters  from  all
subcategories.    The  amount and  toxicity of these  pollutants, however,  were
considered insignificant in  all subcategories except industrial laundries  and  linen
supply laundries.

     The number of facilities  in this  industry with treatment systems is small.
However, in cases where  treatment systems have been  installed, dissolved  air
flotation (DAF) has been selected as  providing the best treatment. DAF effectively
reduces both  conventional  and toxic pollutants.  The use of  various alternative
technologies for  the  removal of pollutants  from this  industry  was considered  not
feasible for various technological reasons (see Section 7).

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     Greater than 99 percent of the laundry industry discharges to publicly owned
treatment works. Pretreatment standards for new and existing sources were based
on the performance of existing treatment systems in the industry.

     Only  one direct  discharger was identified in  both the industrial and  linen
supply  subcategories.   No BPT or BAT effluent limitations are proposed.   New
source peformance standards are proposed based on  the current limitations for
conventional  pollutants  imposed  on  the  one  direct  discharger  and  on  the
performance of existing treatment systems for toxic pollutants.
1.2 EFFLUENT STANDARDS
     Proposed pretreatment standards for new and existing industrial and linen
supply laundries are presented in Table  1-1.   Proposed  new source performance
standards are presented in Table 1-2.

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   TABLE 1-1    PRETREATMENT STANDARDS NEW AND EXISTING SOURCES
Pollutant
Chromium
Copper
Lead
Zinc
Estimated Proposed
Long-Term Daily Limitations
Average Variability mg/1
mg/1 Factor(l) 24-hr, max. 30-day avg.
0.18 4.0 0.74 0.22
0.74 2.7 1.5 0.93
0.93 3.7 3.7 1.7
0.74 4.4 . 2.9 1.1
(1)    Daily variability factor is the ratio of the estimated 99th percentile to the
      estimated long term average.

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   TABLE 1-2.   PROPOSED NEW SOURCE PERFORMANCE STANDARDS
Pollutant
      Effluent Limitations
  24-hr.                   Maximum
maximum               30-day average
  mg/1                     mg/1
TSS

BOD

Oil and grease

Chromium

Copper

Lead

Zinc
          40

         100

          20

           0.74

           1.5

           3.7

           2.9
20

50

10

 0.22

 0.93

 1.7

 1.1

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                                  SECTION 2
                               INTRODUCTION
     The purpose of this  document is  to  provide the technical background  data
required to develop effluent limitations guidelines for the Auto and Other Laundries
industry.  Any effluent limitations for direct dischargers will be based on the hazard
associated with each pollutant  being  discharged,  the degree  to which pollutant
loadings can be reduced by demonstrated  control  technologies, and the financial
ability  of laundry firms to purchase and  operate control  equipment.  In  setting
pretreatment  standards, the  effect of  pollutants on  the operation  of a  publicly
owned treatment works (POTW) and the ability of the POTW to effectively reduce
pollutant concentrations must also be considered.

     The information  needed to  make  and support  decisions  related   to  the
establishment of guidelines is presented  in  the following  manner.   The  laundry
industry is  defined  and described in Section 3 and subcategorized for evaluation
purposes into  distinct segments in Section  4.  Wastewaters  resulting from  each of
the industry subcategories  are characterized in Section 5 in  terms of flow, pollutant
concentration and  load.    Conventional  pollutants  and  129 toxic pollutants  are
considered.  The selection  of subcategories to be regulated is presented in Section 6.
In Section 7 control  and treatment technologies, including both  in-process and end-
of-pipe controls and alternatives, are discussed in relation to their applicability to
the subcategories to be regulated.  Capital and operating costs for the treatment
systems discussed in Section  7  are presented in Section 8.   Section 9 describes
effluent limitations  and standards for  the industry, as well  as the  bases  for the
limitations.  Appendix A presents, in tabular form, excluded toxic pollutants.

2.1 PURPOSE AND  AUTHORITY

      The Federal Water Pollution Control Act Amendments of 1972 established a
comprehensive  program to "restore  and  maintain the  chemical,  physical,  and
biological integrity of the  Nation's waters," Section 101(a). By July 1, 1977,  existing
industrial dischargers were required to  achieve "effluent limitations requiring the
application of the best practicable control technology currently available"  ("BPT"),
Section 301(b)(l)(A)j and by July 1, 1983, these dischargers were required to  achieve
"effluent limitations requiring the  application of  the  best available technology
economically  achievable...which will result in reasonable further  progress  toward
the national goal" of eliminating  the discharge of  all pollutants" ("BAT"),  Section
301(b)(2)(A). New industrial'direct dischargers were required to comply with Section
306  new  source   performance  standards  ("NSPS"), based  on  best  available
demonstrated technology;  and new and  existing  dischargers  to publicly owned
treatment works ("POTW") were  subject to pretreatment standards under Sections
307(b) and (c) of the Act.  While the requirements for direct dischargers were to be

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incorporated  into  National  Pollutants  Discharge  Elimination  System  (NPDES)
permits issued under Section 402 of the Act, pretreatment standards were made
enforceable directly against dischargers to POTW (indirect dischargers).

     Although Section  402(a)(l) of  the  1972  Act  authorized the setting  of
requirements for direct dischargers on a case-by-case basis, Congress intended that
for the most part control requirements would be based on regulations promulgated
by the Administrator of EPA.  Section 304(b) of the Act required the Administrator
to promulgate regulations providing guidelines for effluent limitations setting forth
the degree of effluent reduction attainable through the application of BPT and BAT.
Moreover, Sections 304(c) and 306 of the Act required promulgation of regulations
for  NSPS,  and  Sections  304(f),  307(b),  and  307(c)  required  promulgation  of
regulations  for pretreatment standards.    In addition  to these regulations  for
designated industry categories, Section  307(a) of the Act required the Administrator
to promulgate  effluent standards applicable to all dischargers of toxic pollutants.
Finally, Section 501 (a) of  the Act authorized the Administrator to  prescribe  any
additional regulations "necessary to carry out his functions" under the Act.

     The EPA was  unable  to promulgate many of these regulations  by  the dates
contained in the Act.  In 1976, EPA was sued by several environmental groups, and
in settlement  of this lawsuit EPA  and  the  plaintiffs  executed  a "Settlement
Agreement" which was approved by the Court.  This Agreement required EPA to
develop  a  program  and  adhere  to a  schedule  for promulgating  BAT  effluent
limitations  guidelines, pretreatment  standards,  and  new  source   performance
standards for  65 "priority"  pollutants and classes  of   pollutants  for 21 major
industries.  See  Natural Resources Defense Council, Inc.  v.  Train, 8 ERC  2120
(D.D.C. 1976), modified March 9,  1979.

     On December 27, 1977, the President signed into law the Clean Water Act of
1977.  Although  this law makes several important changes in the  Federal water
pollution control  program, its most significant feature is its incorporation of several
of the basic elements of the Settlement Agreement program for toxic  pollution
control.    Sections  301(b)(2)(A)  and 301(b)(2)(C) of the  Act  now  require  the
achievement by 3uly 1, 1984 of effluent limitations requiring application of BAT for
"toxic" pollutants, including the  65 "priority" pollutants  and classes of pollutants
which  Congress declared "toxic"  under  Section 307(a) of the Act. Likewise, EPA's
programs for new source performance standards and pretreatment standards are now
aimed  principally at toxic pollutant controls.  Moreover, to strengthen the toxics
control program Section 304(e) of the Act authorizes the Administrator to prescribe
"best management practices" ("BMPs") to prevent the release of toxic and hazardous
pollutants from plant site runoff,  spillage  or  leaks, sludge or waste disposal, and
drainage  from   raw  material  storage  asociated  with,  or ancillary   to,  the
manufacturing or treatment process.

     In keeping with its emphasis on toxic pollutants, the Clean Water Act of 1977
also revises  the  control program for non-toxic  pollutants.  Instead of  BAT for
"conventional" pollutants  identified under Section 304(a)(4) (including biochemical
oxygen demand,  suspended  solids,  fecal   coliform  and  pH),  the  new Section
301(b)(2)(E)  requires achievement by July 1, 1984, of "effluent limitations requiring
the application of the best conventional pollutant control technology" ("BCT").  The
factors considered in assessing BCT for an industry include the cost of attaining a
reduction in effluents and the effluent  reduction benefits derived compared to the

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costs and  effluent  reduction  benefits  from  the  discharge  of  publicly  owned
treatment works (Section 304(b)(4)(B)).  For non-toxic,  nonconventional pollutants,
Sections 301(b)(2)(A)  and  (b)(2)(F) require achievement of BAT effluent limitations
within three years after their establishment or July 1, 1984, whichever is later, but
not later than 3uly 1,  1987.

      The purpose of these proposed regulations  is to provide effluent limitations
guidelines for BPT, BAT,  and BCT, and to establish NSPS, pretreatment standards
for existing  sources  (PSES),  and pretreatment standards for new  sources  (PSNS),
under Sections 301, 304, 306, 307, and 501 of the Clean Water Act.

      The United  States  Environmental  Protection  Agency (the  Agency)  was
entrusted with the responsibility to  carry  out the requirements of  the  Act, and
initiated an intensive effort to develop the necessary regulatory means which would
achieve the stepwise reduction and elimination of pollutant  discharge practices  in
all major U.S. Industries.

2.2 GENERAL CRITERIA FOR EFFLUENT LIMITATIONS

2.2.1 BPT Effluent Limitations

      The factors  considered  in  defining  best  practicable  control technology
currently available (BPT) include  the  total  cost of applying such  technology  in
relation to  the  effluent  reductions  derived  from  such application, the  age  of
equipment  and  facilities  involved,  the  process  employed,  non-water  quality
environmental impacts  (including energy  requirements), and other factors the
Administrator considers  appropriate (Section 304(b)(l)(B)).   In 'general, the  BPT
technology level represents the average of the best existing performances of plants
of various ages, sizes, processes, or other common characteristics.  Where  existing
performance  is uniformly inadequate, BPT may  be  transferred from a different
subcategory or category.  BPT focuses on end-of-pipe treatment rather than process
changes or internal controls, except where such are common  industry practice. The
cost/benefit inquiry for BPT is a limited balancing, committed to EPA's discretion,
which does  not require the  Agency to quantify benefits  in monetary terms.  See,
e.g., American Iron and Steel Institute v. EPA, 526 F.2d 1027 (3rd Cir. 1975).  In
balancing costs in relation 'to effluent reduction benefits,  EPA considers the volume
and nature  of existing discharges, the volume and  nature  of  discharges expected
after application .of  BPT, the general  environmental effects of the pollutants, and
the cost and economic impacts of the required pollution control level. The Act does
not require  or permit  consideration  of  water  quality  problems attributable  to
particular point sources or industries, or water quality improvements in particular
water bodies. Therefore, EPA has not considered these factors.  See Weyerhaeuser
Company v. Costle, 590 F.2d 1011 (D.C. Cir. 1978).

2.2.2 BAT Effluent Limitations

      The factors considered  in assessing  best  available technology economically
achievable (BAT) include the age of  equipment and facilities involved, the process
employed, process  changes, non-water  quality  environmental impacts  (including
energy requirements), (Section 304(b)(2)(B)).   At a minimum,  the  BAT technology
level represents the  best economically achievable performance of plants of various
ages, sizes,  processes, or other shared  characteristics.  As with BPT,  uniformly

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 inadequate performance may require transfer of BAT from a different subcategory
 or category. BAT may include process changes or internal controls, even when these
 technologies are not common industry practice.  The statutory assessment of BAT
 "considers" costs,  but does  not require a  balancing  of costs  against effluent
 reduction benefits (see Weyerhaeuser v. Costle, supra).  In developing the proposed
 BAT, however, EPA has given substantial weight to the reasonableness of costs. The
 Agency has considered the volume and nature of discharges, the volume and nature
 of discharges expected after application of BAT, the general environmental effects
 of the pollutants,  and the costs and economic impacts of the required pollution
 control  levels.   Despite  this  expanded  consideration  of  costs,  the primary"
 determinant of BAT is effluent reduction capability.  As a result of the Clean Water
 Act of 1977, 33 USC 1251 et seq., the achievement of BAT  has become the principal
 national means of controlling water pollution due to toxic pollutants.

 2.2.3 BCT Effluent Limitations

      The 1977 amendments added Section 301(b)(2)(E) to the Act, establishing "best
 conventional pollutant control technology"  (BCT) for discharges of  conventional
 pollutants from existing industrial point sources.  Conventional pollutants are those
 defined in Section 304(b)(4) - BOD, TSS, fecal coliform,  and pH and oil and grease,
 designated by the Administrator as "conventional" on July 30, 1979, 44 FR  44501.
 BCT is not an additional limitation, but replaces BAT for  the control of conventional
 pollutants.  BCT requires that limitations for conventional pollutants be assessed in
 light of a new  "cost reasonableness" test, which involves a comparison of the cost
 and  level of reduction of conventional pollutants from the  discharge  of publicly
 owned treatment works to the cost and level of reduction of such pollutants from a
 class or category of  industrial sources.   In its  review  of BAT  for industries not
 covered by the  NRDC Consent Decree, the Agency promulgated BCT levels based on
 a  methodology described  at  44  FR 50732 (August 26,  1979).   This  methodology
 compares subcategory  removal costs (dollars per pound of pollutant, measuring from
 BPT to BAT) with costs experienced by POTWs.
                                                                •
 2.2.fr New Source Performance Standards

     The basis for new source performance  standards (NSPS) under Section 306 of
 the  Act is  the best available  demonstrated technology.   New  plants have the
 opportunity to design the best and most efficient inorganic chemicals manufacturing
 processes and waste water treatment technologies, and Congress therefore directed
 EPA to consider the best demonstrated process changes, in-plant controls, and end-
 of-pipe treatment  technologies which  reduce pollution to  the  maximum extent
feasible.

2.2>5 Pretreatment Standards for Existing Sources

     Section 307(b) of the Act requires EPA  to promulgate pretreatment standards
for  existing sources  (PSES) which must  be  achieved  within  three  years of
promulgation. PSES are designed to prevent the discharge  of pollutants  which pass
through, interfere with, or are otherwise incompatible with the operation of POTWs.
The  Clean Water Act of 1977 adds a new dimension by requiring pretreatment for
pollutants,  such as heavy metals, that limit POTW sludge management  alternatives,
including the beneficial use of sludges on agricultural lands. The legislative history
of the  1977 Act indicates that pretreatment  standards are to be  technology-based,

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analogous to the best available  technology for removal of toxic  pollutants.   The
general pretreatment regulations which served as the framework for these proposed
pretreatment regulations can be  found at 40 CFR Part 403, 43 FR 27736 (June 26,
1978).  In some instances PSES regulations have been established for subcategories
not  presently discharging to  a POTW.  This  establishes regulation for plants that
"may choose to change their discharge to a POTW.

2.2.6 Pretreatment Standards for New Sources

      Section 307(c) of the Act requires EPA to promulgate pretreatment standards
for new sources (PSNS) at the same time that it promulgates  NSPS.  New indirect
dischargers, like new  direct  dischargers, have the  opportunity  to incorporate the
best  available  demonstrated technologies  including  process  changes,  in-plant
controls, and end-of-pipe treatment technologies, and to use plant site selection to
ensure adequate treatment system installation.

2.3  OVERVIEW OF THE INDUSTRY

      The Auto and Other Laundries  industry category consists of nine  segments
which have  been divided by the Standard Industrial Classification (SIC) system.  The
segments are:

            Power laundries, family and commercial

            Linen supply

            Diaper service

            Coin-operated laundries and dry-cleaning

            Dry-cleaning plants, except rug cleaning

            Carpet and upholstery cleaning

            Industrial laundries

            Laundry and garment services not elsewhere classified

            Car wash establishments

      The above-listed segments  consist of over 90,000 operating facilities primarily
 engaged in the  cleaning (dry  or  water-wash) of fabric-materials  or vehicles.
 Wastewaters generated  in this industry thus consist of contaminants removed from
 the cleaned material and chemicals added during the cleaning process.

 2.* SUMMARY OF METHODOLOGY

      Background  information on  the basic  segments of  the  Auto  and Other
 Laundries industry was obtained from literature, contacts with the industry and its
 trade associations,  previous reports and a mail survey of  specific segments of the
 industry.

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      Data  on wastewater characteristics  including  sources  and disposition of
wastewater, discharge quantities, and physical-chemical characteristics for each of
the  eight  industrial  segments  were  obtained from  NPDES  monitoring reports,
municipal sewer  district monitoring reports,  a mail survey of approximately 250
laundries,  trade  association  studies,  and the  sampling  and analysis  programs
conducted by the Agency.

      Sampling Program  -  Sampling and analysis of wastewaters generated by the
Auto and Other Laundries industry  was initiated by the Agency and its contractors
in  1975.    These early programs  concentrated  primarily on  conventional  and
nonconventional pollutants and trace metals.

      In  1978  a  sampling  program was  begun  to determine the presence  and
concentrations of the 129  toxic pollutants as defined  by the  Consent Decree, in
wastewaters from this industry.  A total of 40 facilities were  sampled for toxic as
well as conventional  pollutants. Sampling was conducted using  automatic time-
compositing equipment during  operating hours at  each  facility.   In most cases
sampling was for one day only.  At facilities where  wastewater treatment were in
place, samples of both treatment influent  and  effluent  were taken. One  industrial
laundry facility using a DAF treatment system was sampled over a one-month period
to obtain data on  the variability  of this type of treatment system.

      Processing of Data -  Data on raw waste characteristics  are summarized and
presented  in   Section 5  in terms of  minimum,  maximum,  median and mean
concentration.   Using average  flow  data, typical  pollutant  loads in pounds or
kilograms per day are also presented.

      Data  from plants with wastewater treatment systems in place are presented in
Appendix  C and summarized in Section  7.   For  the  development   of  effluent
limitations and standards, a statistical evaluation of these  data was conducted and is
presented in Section 9.
                                      10

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                                SECTION 3
                     DESCRIPTION OF THE INDUSTRY
3.1  DEFINITION AND GROWTH TRENDS

     The auto and other laundries industry can best be defined and characterized by
considering the various segments of which it is composed.   The industry has been
divided into nine categories by the Standard Industrial Classification (SIC) system.
These  categories,  their  SIC code numbers,  and  the  approximate  number  of
establishments included in each category are shown in Table 3-1.

         TABLE 3-1.  SIC CATEGORIES OF THE LAUNDRY INDUSTRY
      Category title,
    SIC
code number
Approximate number
of establishments (1)
Power laundries, family
and commercial
Linen supply
Diaper service
Coin-operated laundries
and dry cleaning
Dry-cleaning plants,
except rug cleaning
Carpet and upholstery
cleaning
Industrial laundries
Laundry and garment services,
not elsewhere classified
Car wash establishments
SIC 7211
SIC 7213
SIC 7214
SIC 7215
SIC 7216
SIC 7217
SIC 7218
SIC 7219
SIC 7542
3,100
1,300
300
32,000
28,400
2,700
1,000
2,700
22,000
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3.1.1  Power Laundries, Family and Commercial (SIC 7211)

      Power laundries are defined as establishments primarily engaged in operating
mechanical laundries with  steam  or other power.   Laundries using  small  power
equipment of  household type are included in the Laundry and Garment  Services Not
Elsewhere Classified subcategory.  Also excluded here are establishments that have
power laundries but are primarily  engaged  in  specialty  work, such  as  diaper
services, linen supplies, or industrial laundries.

      In 1967 this category accounted for 11% of all laundry establishments and  20%
of all laundry receipts (2).  In recent years power laundry receipts have declined
greatly.   In the period from 1963  to 197* they declined by 6*%, even though the
population and  the gross national product (GNP) rose  significantly (3).   A major
reason cited for this decline is the development of  wash and wear  fabrics, which
eliminated much of the tedious finishing work (ironing in particular) associated with
doing laundry.  This has encouraged  the use  of coin-op laundries, which are  less
expensive,  and   the  use  of  home  laundry  equipment,  which  is  economically
competitive with, and  more convenient than, coin-ops.  To offset these  losses,
power laundries  are increasingly providing other  services  including coin-operated
laundry   and   dry   cleaning,  rug   cleaning,   dry   cleaning,   linen   rental,
industrial laundering, and diaper services.  However, there are no indications  that
this trend  will reverse itself in the near future, and it is expected that the decline
will  continue until a point is  reached where power  laundries are supported by a
relatively small  but stable portion of the population.

      Currently  75%  of power laundry receipts are from  traditional family  and
bachelor-type work, but almost 18% is derived from dry cleaning (2).

3.1.2  Linen Supply (SIC 7213)

      Linen supplies are defined as establishments engaged primarily in supplying, on
a rental  basis, laundered items such  as bed  linens,  towels,  table covers, napkins,
aprons, and uniforms.   These establishments may operate their own power laundry
facilities or they may contract the actual laundering of the items they own.

      Sales in the linen supply business have been increasing  at  a  moderate  rate
(14.6% over the 1963-to-1974  period), but recent sales figures indicate that  this
growth is leveling off (3).  However, there is a possibility that  in the future an
upswing in growth will be observed if energy  prices continue to increase.  This  is
because linen supply laundries are more efficient in water, chemical, and energy
usage than are on-premise laundries.  If energy prices increase to the point where
energy is a major cost item, it may  become  more economical  for a linen user to
contract  for  linen supply  services  than  to continue using an existing  in-house
facility.

      Major competitors  in the  linen supply market are disposable items, on-premise
laundries,  and industrial and power laundries that engage in linen supply activities.
Disposable napkins, paper towels, and the use of paper place mats rather than table
cloths in particular have cut into the  restaurant market. To compensate for these
losses many  linen  suppliers  have  expanded  their  services  to  include work
                                        12

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traditionally done by industrial laundries.  Industrial type work may account for as
much as 40% of the work done by the linen supply business (45).

3.1.3  Diaper Service (SIC 7214)

      Diaper services are defined as establishments primarily engaged in supplying
diapers (including disposables) and other baby linens to homes, usually on a rental
basis.  Diaper services  may or may not operate their own power laundry facilities.
There are approximately 300  such firms in the U.S., which account for about 0.6%
of total laundry receipts (1).

      The diaper service industry  has  not diversified as have many of the other
laundry categories.   Traditionally they have rented diapers and other baby linens to
household  users.  This role  has  remained  essentially unchanged except that
disposable diapers are now also supplied to customers.  Approximately 95% of the
receipts are derived from the traditional sources (2).  The number of establishments
and receipts for  this industry have been declining  due to the falling birth rate and
the increasing popularity of disposable diapers.

3.1.4  Coin-Operated Laundries and Dry Cleaning (SIC 7213)

      The coin-op  category  is made  up  of establishments primarily  engaged  in
providing coin-operated laundry  and/or  dry-cleaning  equipment  on  their  own
premises.  Included are establishments known as "laundromats," "self-service dry
cleaners,"  etc.   Also included are establishments that install  and operate  coin-
operated laundry machines in apartment houses, motels, etc.

      Coin-ops were introduced  in the 1950's  and by  1960  had numbered  20,000
establishments.  By 1972 this figure had increased by 100% to 40,000 (3). Over the
past decade coin-op receipts have  increased by 10% per year,  and it is expected
that future growth will continue at a moderate rate.

      Most  coin-ops offer their  customers  other  services besides self-service
washers, dryers  and dry-cleaning equipment.   These  usually include the  sale  of
soaps, bags, hangers,  candy,  soft drinks, and cigarettes  via  vending machines.
However, these other services account for only 9% of coin-op receipts.  In 1967 this
subcategory  encompassed 28% of  all  laundry  establishments and accounted  for
almost 9% of total laundry revenues (2).

3.1 e5 Dry-Cleaning Plants Except Rug Cleaning (SIC 7216)

      Establishments belonging to SIC 7216 are defined as those primarily engaged in
dry  cleaning  or  dyeing apparel and household fabrics,  other than  rugs,  for the
general public.   There are about 28,000  establishments  in this  category, most  of
which are  relatively small.   Dry-cleaning plants accounted for  54% of  all laundry
establishments and about 41% of all laundry receipts in 1967 (2).

      The number of dry-cleaning establishments and real receipts in this  segment of
the  industry have both declined by 29% from 1963 to  1974 (3). This is largely due to
the new clothing fabrics developed over the past 20 years. Many of these fabrics  do
not  require dry  cleaning or shed  soil  more easily and hence require it  less often.
                                        13

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 Dry cleaners  have  diversified into  related fields  such  as shirt cleaning  and
 laundering  in  order  to  provide  customers with  one-stop  cleaning  services.
, Relatively recent developments are drapery, rug, and furniture cleaning and the
 sale and/or rental of working apparel.

 3.1.6  Carpet and Upholstery Cleaners (SIC 7217)

      Carpet and upholstery  cleaners  are  defined  as  establishments primarily
 engaged in cleaning carpets and upholstered  furniture at a plant  or on a customer's
 premises.  It is estimated that 25% of these businesses operate in-plant cleaning
 facilities.  The number of in-plant operations has declined significantly over the last
 10 years with a corresponding growth in the on-iocation type cleaners.   This is  a
 result of the increase in the use of wall-to-wall carpeting.

      Firms in this category are not very diversified.  Their basic services include
 carpet and  rug cleaning, repairing, and dyeing,  and upholstered furniture  cleaning.
 Approximately  85% of the receipts are from these  activities (2). A small number of
 these  firms offer in-plant dry-cleaning  services  for specialty items  such  as
 Orientals, Aubussons, Savonneries , and tapestries.

 3.1.7  Industrial Laundries (SIC 7218)

      Industrial  laundries  are  establishments  primarily  engaged  in  supplying
 laundered or dry-cleaned work uniforms, wiping towels, safety equipment (gloves,
 flame  resistant  clothing,  etc.), dust covers and cloths, and  similar items  to
 industrial  or  commercial  users.  These  items  may  belong to  the  industrial
 launderers and  be supplied to users  on a rental basis or  they may be the customer's
 own goods.  Establishments included in this SIC category may or may  not operate
 their own laundry and dry-cleaning services.

      Most  industrial  launderers  offer their  customers  a  variety   of textile
 maintenance services, but approximately 88% of the receipts  are derived from the
 activities defined above (2).  Although there is some overlap in the work done by
 industrial launderers and linen  suppliers, industrial launderers in many cases can be
 distinguished as  they rent  personalized  garments  fitted  and  labeled  for  the
 individual, while linen suppliers provide  rental garments by size.  This distinction,
 however, has been rapidly disappearing in recent  years
      In 1967 this category accounted for 1.4% of all laundry plants and 12% of the
 total  receipts of  the  laundry industry (2).   The average  annual growth  rate of
 receipts dropped from approximately .11%  during the 1963-to-1967 period to 6.6%
 during the period from  1972 to 1974 (3). Because of the nature of work processed,
 receipts in this category are closely  tied to  the GNP.

 3.1.8  Laundry and Garment Services Not Elsewhere Classified (SIC 7219)

      This category,  Laundry  and  Garment  Services  NEC,  is  defined  as  those
 establishments primarily  engaged  in furnishing other laundry  services, including
 repairing, altering, and storing clothes for individuals and the operation of Chinese,
 French, and  other hand laundries.   Additional services  provided by these  firms
 include fur garment cleaning, repairing, and storage; glove mending; hosiery repair,
                                       14

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pillow cleaning and renovating; and tailoring.   There  are  approximately  2,700
establishments in this category, most of which are very small (1).

3.1.9  Car Washes (SIC 75»2)

      The auto laundry is comprised of facilities designed for the automatic or self-
service washing of vehicles including cars, vans, and pick-up trucks.  There are three
types of car washes, tunnel, rollover, and wand, which will be described in 3.2.5.
      The industry, as a whole, continues to grow at a rate of 3-4% a year, although
the growth rates for each of  the three types of facilities will vary.  The number of
new tunnel facilities has been fairly constant since their inception. The cost of land
in many cities has become a major part of the capital outlay for a new facility, and
thus the cost of these facilities may be prohibitive. Rollovers are primarily found at
service stations where oil companies have often used them  as promotional devices,
sales, are therefore  dependent on such things as the availability of gas. A company
will not want to promote a product  that is difficult to obtain, and so when a gas
crunch occurs, sales fall off.  However, if different marketing techniques are used,
and the carwash is  not viewed as a promotional device but rather  as  an  additional
source of income, sales should not be greatly affected.

      The largest sales increase has been for the self-service wand type  facilities.
The resurgence in sales is partly due to a general upgrading of both merchandise and
facilities.    Furthermore,  wand  washes  offer  the  highest  return  on  the least
investment of the three types of  facilities.  The number  of bays installed  at  a
location is generally based on market studies. These studies normally show that an
initial four bay set-up is the most economical.

      Car wash  manufacturers  are generally optimistic concerning future sales of
auto washing equipment.  As cars become more and more  expensive, owners  will
keep them for longer periods  of time,,,and must therefore take better care of them.
This better care will include maintaining the appearance of the auto.  Also, in many
areas  (e.g.,  apartment  complex  carports  and  driveways)  people  are   no  longer
permitted to wash their cars,  and must take them to a carwash for cleaning.
3.2 INDUSTRY PROCESSES
      The  unit operations for this industry  can be separated  into those  used at
laundries and those used for  auto washing.  There are four basic types of processes
employed within the laundry industry:  water wash (laundering), dry cleaning, dual
phase processing, and carpet and  upholstery  cleaning.   Auto washes consist of
tunnel, rolloyer,  and wand type facilities.  Brief descriptions of  these processes are
provided below.

3.2.1 Laundering

      The particular processes and types of equipment used in a  laundry depend to a
considerable extent on the types of services offered.
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      Process—Upon entering a laundry,  soiled materials are first  sorted so  that
 items requiring similar processing can be grouped and weighed  into washer  loads.
 Sorting may be done on the basis of  fabric type, color, soil type, ownership, or type
 of garment (for example, shirts are often separated from other types of laundry as
 are hosiery and bed linens).  During  the sorting process, items requiring prespotting
 and destaining are identified.  Prior  to laundering, stains such as blood or food soil
 which may set as a result of the washing process  must be removed.  Other types of
 stains may be removed either before or after washing.  Destaining procedures vary
 from simple soaking in cold water  to the use of acids, bleaches, and/or  multiple
 organic solvents.

      Once a laundry load  is put in a washing machine, it  undergoes  a series of
 cycles in which various processing operations are carried  out.  The number and types
 of operations performed at a given laundry are dependent on the types of items,
 composition of the fabrics,  and the soil classification.  The first cycle is generally a
 flush in which water is used to wet the fabrics and to remove loosely attached solids
 and a portion of the water  soluble soils.  This may be followed by an optional cycle
 known as the break. Here  the garments are treated with an alkali solution to swell
 cellulosic  fibers so that soil is more easily removed.  For the actual  wash cycles
 (sudsing), the multiple sudsing procedure  in  which faeries are agitated in repeated
 changes of detergent solution until they  are clean is widely  accepted as the best
 means of  removing soil and  preventing  its redeposition on  the fabrics.  In  this
 process, soiled garments are agitated in a soap solution until the rate of soil removal
 per minute of running time has nearly leveled  off to zero (5 minutes to 7 minutes).
 This solution is then dumped except for approximately 2.5 x 10-3  m3 of solution per
 kilogram of fabric (0.3 gal/lb), which is  retained  by the load. The retained water
 holds soil in suspension that cannot be removed by rinsing with clear water. This is
 because the rinse water would dilute the soap solution  to such an extent that soil
 would be  redeposited rather  than  remain  in  solution.   Therefore, a  clean  soap
 solution is again added to the wash load and the above procedure is  repeated  until
 the soil content of the wash solution is reduced to a minimum (4).

      The sudsing cycles are usually followed by a  bleach cycle where the detergent
 solution is replaced by a  bleach solution.  A series of rinsing cycles are  then
 performed to reduce the alkali and soap content of the  fabrics to a  minimum. At
 this point, depending on the nature of the load, a  blueing or brightening cycle may
 be included.  Alternatively, brighteners  are often included in other wash  supplies
 such  as  soaps,  antichlors,  or  sours.   The  final  operation  is  usually  a souring
 treatment. This involves reducing the pH of the final bath to about 5 to prevent
 yellowing of fabrics caused  by the presence of sodium bicarbonate during pressing.

      After laundering, clothes retain a quantity of water equal to about 2.5 times
 their  dry weight. Most of this water  is removed in a centrifugelike device called an
 extractor.  A perforated basket located in a metallic shell is rotated  at high speeds
so that a large percentage of the  moisture is thrown off in a 5-minute to  15-minute
period.    When  removed from  an  extractor, fabrics  generally retain  moisture
 equivalent to only 50% of  their  dry weight and  are ready for  pressing or other
finishing operations.

      Equipment—Washers used in professional laundries can handle loads from  9 kg
(20  Ib) to  *50 kg (1,000  Ib).   This  equipment usually  consists of a  perforated
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horizontal cylinder which rotates inside of a shell.  Cylinders are equipped with ribs
that project toward the center and run the length  of the cylinder.  These serve to
lift fabrics as the cylinder rotates and then allow them to drop  back into the
washing solution. The diameters of cylinders range from 0.6 m (24 in.) to  1.5 m (60
in.), and lengths vary from 0.45 m (18 in.) to 3.2 m (126 in.).  Most washers are
equipped with thermometers for temperature control,  gages for control  of  water
levels, timing devices, and reversing devices so that the direction of rotation can be
changed after every four or five revolutions (4).

      Automatic washers are being used to a considerable extent.  This equipment
allows the  operator to load a washer, load supply compartments,  start the machine,
and not return until  the entire  wash cycle has  been completed.  In some of this
equipment, the top part of the  shell opens to allow the  cylinder to rise out and
automatically deposit the wash load into trucks or  an adjacent extractor.  However,
the current trend is toward combination  washer-extractors so that laundry can be
washed and extracted in the same machine.  While this  saves the transfer  operation
and the floor space occupied by an extractor, it also reduces the volume of laundry
that can be handled by a single machine because of the extra time required for the
extraction  cycle.

      Recently two other washer designs have become available: the tunnel washer
and modular washer.  Tunnel washers provide continuous operation and can process
up  to 750 kg of laundry per hour  (1,870 Ib/hr).   Tunnel  washers employ the
counterflow process whereby water  at tap temperature  enters  the  system at the
discharge end for the final  rinse and  then flows  through the rinse and  suds bath
before being discharged to a drain.  Live  stearn may be introduced at several points
along the tunnel to heat the water to the desired temperature for rinsing, bleaching,
and sudsing, or high temperature zones can be located within the tunnel to heat the
water.

      This  process is fully automatic.  Water, steam, and  laundry chemicals can be
mechanically  injected into the  system,  and  following washing, the  work  can be
moved by a conveyor to an extractor and then to a dryer.  One point common to all
tunnel washers is the reduction in water use. In conventional washers  1.3 x 10~2 m3
to  4.2 x lO-3 m3 of water are used per kilogram of laundry processed (1.5 gal/lb to 5
gal/lb), while tunnels generally use 5.8 x  10-3 m3 to 1.3 x 10~2 m3 per kilogram of
laundry (0.7 gal/lb to 1.5 gal/lb) (6).  Less water usage  also results in  using less
energy and chemical supplies.   While these machines are becoming very popular in
Europe, their use in the U.S. is extremely limited.

      Another innovation in  wash equipment  is the modular  unit.  It can be used
alone or in combination with other units to provide flexibility in machine capacity.
These washers are of a shell-less design, with agitation provided by 25% of the wash
solution surging in and out of the machine. Units of this design are loaded from the
top by hopper,  sling,  or conveyor and are unloaded through  a  front  door.   When
accompanied  by conveyors, a hydraulic extractor, and  a tumbler, a fully automatic
system may be achieved.
                                        17

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3.2.2  Dry Cleaning

      Dry cleaning refers  to the cleaning of fabrics  in  an organic-based solvent
rather than in an aqueous-based detergent solution.  When certain hydrophilic fibers
are washed  in water they swell and undergo a  dimensional change that results in
wrinkles and shrinkage.  This can be avoided by the use of dry-cleaning solvents or
solvent/detergent mixtures.  There are two other advantages to dry cleaning.  The
solvents used in dry cleaning dissolve soils at low temperatures and under generally
mild  conditions as opposed  to  the  laundering  process, which involves  a complex
colloidal mechanism at high temperatures and the use of relatively  harsh chemicals
such as alkalies and bleaches. Thus, dry cleaning results in considerably less wear on
a fabric.  Dry cleaning also uses much less water than laundering.   This results in
savings  on both the cost of water and the cost of discharging to a sewer.

      There are five types of laundries that use dry cleaning at least to some extent:
commercial dry cleaners (SIC 7216), industrial laundries (SIC 7218), power laundries
(SIC  7211),  linen supplies (SIC  7213),  and coin-ops  (SIC 7215).  The  general
processing  steps  undergone  in a  dry-cleaning  plant are  similar  to those  for
laundering.  They are (7):

      (1)   Items are  marked and sorted.

      (2)   Prespotting is performed where needed.

      (3)   Garments are weighed into machine loads to prevent overloading.

      (4)   Loads are rotated in tumble-type washers in one or more solvent baths.

      (5)   Excess solvent is removed by extraction.

      (6)   Solvent remaining after  extraction  is removed in heated dryers (often
           incorporated  into a washer/extractor).

      (7)   Clean garments are inspected and spot cleaned if necessary.

      (8)   Finishing  operations (pressing, steaming, etc.) are  performed to restore
          garments  as  near as possible to their original size, shale,  feel, and
          appearance.

      (9)   Individual orders are assembled and wrapped or bagged for customer
          pick-up or delivery.

      In addition to the  above procedures, commercial dry cleaners may also offer
sucfy services as water repellent treatment for  rainwear, moth repellent treatment
for wools, leather cleaning, and  resizing of garments.

      The procedure used for  industrial dry cleaning is similar  to that listed above
except that there is less variety in the types of items handled  and thus there is less
sorting involved. The procedure for coin-op dry cleaning is analogous to operating a
coin-op washing machine except that neither chemical  addition by the customer nor
drying of the garments is  required.  Clothes are loaded into the machine prior to
cleaning and are removed already dried after cleaning.

                                       18

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     Processes—There are three methods  used in  dry cleaning;  charged  system,
fresh soap added to each load, and no. soap  added (8).  In the .charged system,  a
detergent and a small quantity of water  (usually 0.5% to 4%) are added to the dry-
cleaning solvent. The detergent  forms discrete hydrophilic aggregates of molecules
(micelles) which are dispersed throughout the solvent.  Water addd to this solution is
absorbed by the micelles,  which then become capable of dissolving water-soluble
soils without danger of serious  wrinkling or shrinkage of  fabrics.  In  this  type of
system  the water-detergent  concentration  in  the  solvent  must  be maintained
throughout the washing process. This is accomplished by the use of conductivity
meters to automatically control the addition of water and detergent.

     In the second  method, the  solvent is  charged with a  given amount of  soap or
detergent at the beginning of each load and does not  receive  any additional charge
during the cleaning cycle.   Since soap is  not  metered, the  maximum quantity of
water cannot be added without risk of damaging the fabrics and the solvent filtering
system.  Therefore, maximum efficiency is not achieved with this system.

     As the name  implies, the no-soap method uses only  dry-cleaning  solvent.
Because of this, prespotting is necessary to  remove water-soluble soils.

     Equipment—Standard dry-cleaning equipment consists of a rotating cylinder in
a stationary shell as described in the previous section on laundering.  However, dry-
cleaning equipment also includes one or more solvent  stroage  tanks, a filter system
for  cleaning the  solvent  as  it is  used,  a  solvent/water  separator, distillation
equipment for  solvent  purification, and,  often, a device for recovering  solvent
vapors (a condenser or an activated carbon filter).

     Depending on the cleaning  method used, dry-cleaning equipment may include
one or two solvent storage tanks and filtering systems.  The latter is required with a
two-solvent-bath system, in which a pure  solvent or sol vent/detergent mixture is
used to clean the garments and then extracted, and the garments are rinsed  in clean
solvent that is  also extracted, as opposed to  garment-treatment in a single solvent
or solvent/detergent mixture.  In the two-bath system, contamination of the rinse
solvent is controlled by using it for make-up in the wash solvent tank.

     A number of solvent filtering devices  have been described in the literature (9-
11).  These generally consist of diatomaceous earth, sometimes mixed with silicates
or activated carbon, coated onto a  wire  mesh screen, or of filter cartridges which
often incorporate a  pleated paper filter around an activated  carbon core.  Solvents
trapped  in the filter  muck are  often  recovered by steam distillation of the  used
filter materials in  a  "muck cooker."  Recovery  is  completed by condensing  the
distillation  vapors   and sending  the  condensate to  the  water/solvent separator.
Filters  are efficient at removing suspended impurities and some soluble organics,
but in order to limit the buildup of odor-causing contaminants the solvent  must be
distilled.  Because distillation is  relatively expensive,  it is practiced only to  prevent
solvent from becoming fouled  rather than to produce a completely purified solvent
for  each load.   This  is accomplished either  by  continuously  distilling  a small
slipstream of  the circulating solvent as it  comes from  the filter or by periodically
distilling a portion when required due to odors  or off colors. Because water  and
perchloroethylene  form  an  azeotropic  mixture,  they  are  codistilled  and  the
condensate must pass through the water/solvent separator (12).
                                       19

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      When the more expensive chlorinated or  fluorinated solvents  are  used it is
usually economically  advantageous to recover  the solvent  that vaporizes during
drying of  garments.  Such  solvents are recovered by condensation or trapped in
activated carbon and recovered by steam injection and subsequent condensation.  In
either case the recovered solvent is fed to the water/solvent separator to remove
the water.  In the separator, water and solvents  are separated by the differences in
their specific weights.  Water is decanted from the  solvent  after separation and
discharged.  The solvent/water separator and the noncontact  cooling water used for
condensation are the only two sources of wastewater from the dry-cleaning process.

3.2.3 Dual Phase Processing

      Dual phase  or dual stage processing is a cleaning method that employs  a
water/detergent wash and a separate  solvent wash.   This method is used  almost
exclusively by industrial laundries to clean items that contain large amounts of both
water-soluble soils and oil and grease. Major items cleaned by this process are work
shirts  (pants and  overalls are usually cleaned by the  charged system dry-cleaning
process) and  wiping rags.  The advantage of dual phase processing for shirts is that it
extends the  life of  garments made of polyester/cotton  blends.  If these garments
were only water washed, strong detergents and high temperatures that would result
in increased  wear would have to  be used. In the processing of wiping rags, an initial
solvent-cleaning step greatly reduces  the  pollutant loading of  the subsequent
washwaters.

     The order of processing is determined both by  the reason dual phase processing
was selected and by the choice of solvent.  When perc  is used as  the  solvent in the
cleaning of work shirts, the  water wash .is done first to minimize solvent losses.
When petroleum-based solvents are  used, the  solvent cleaning step is usually done
first.  Other factors which may  affect the order include  the  type of soil and drying
energy requirements."

3.2.* Carpet and Upholstery Cleaning

     Rug and carpet cleaning may be done either on location or in a cleaning plant.
Over the last 20 years there has been a gradual shift from  in-plant processing of
rugs and carpets to  on-location cleaning.  As  a  result, the majority of the  rug and
carpet cleaning  firms do only on-location work and subcontract in-plant cleaning to
a few  centralized establishments still engaged in this business.  Cleaning methods
used by both types of firms are described below.

     On-location  carpet  cleaning is done by  either the  powder, dry foam, rotary
brush,  or hot water  extraction method (8).  When using  any of these methods the
carpet is  usually  vacuumed  to remove loose  soil and  prespotted to remove stains
prior to cleaning.  In the first method, a powder is worked into the carpet, left to
absorb soil, and then vacuumed  up.  Usually an absorbent clay or  cellulosic-based
powder, such as sawdust, saturated with a volatile  solvent is used to help dissolve
oily  dirt and loosen  particulate matter. This  process generates no wastewater.  A
low water, high foam detergent solution is used for cleaning in the dry foam process.
The foam is worked  into the  carpet either by hand or machine and then extracted by
wet  or dry vacuum.   Cleaning by the  rotary  brush method  consists of working a
                                      20

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detergent and water mixture into the carpet with a rotary brush machine followed
by vacuum extraction. In the hot water extraction process, a hot detergent solution
is injected into the carpet pile under pressure and then immediately wet vacuumed
out. All of the processes that involve a wet vacuum step generate  a small quantity
of wastewater.  This is usually disposed of on site when the capacity of the machine
is reached.

     Depending on the size of the rug, in-plant cleaning may be done in a rug
cleaning machine or on a special cleaning floor for large area rugs too big to pass
through  an automatic cleaning machine.   In either case  the  preliminary cleaning
steps are similar.  First, loose soil is removed by mechanically beating the carpet
with metal or  leather  straps or by  use  of a high speed vibrator  while  the  rug is
positioned over a suction box with the pile down.  This step may be  omitted at some
plants  or for some rugs.   Stains are removed by prespotting with  various solvents.
This is followed by a prewash in which a detergent solution is worked  into the pile.
A high pressure sprayer, a rotary brush, or a combination of the two may be used for
this purpose.

     At this point the  rug is either scrubbed by a rotary brush on  a wash floor and
then spray rinsed or it is fed over a cylinder or a flat bed through a detergent spray
at  high  or low pressure.   If  low  pressure is  used,  the carpet  passes  through
reciprocating brushes to work the detergent into the pile.  If high  pressure is used,
teethed  rollers or vibrator rolls are used to force the detergent solution into the
pile.  This is followed by a squeegee roll that squeezes  the detergent solution and
suspended soil  out of the carpet.  Thereafter,  methods vary somewhat but  most
systems then rinse the rug and send it through a second set of wringers.
      After washing, rinsing, and wringing, rugs are removed to a drying room. Here
hot air  at a temperature around 60 C is pulled across the rugs by large fans until
they are dry.
      A few plants maintain rug dry-cleaning machines that are used only for very
delicate and dye-sensitive  rugs  and tapestries.  The only wastewater discharged
from  this process is the noncontact cooling water used to condense vapors from the
distillation unit and the small amount of moisture in the rug due to  the  relative
humidity at the time  of processing.  The latter is separated from the  solvent in a
gravity separator and then discharged.

      Upholstery cleaning is usually done on site and involves very little  or no water,
so that no real effluent stream results. Processes used are absorption by a cellulosic
or clay-based powder, wet  shampooing with a detergent solution, dry-cleaning, or
foam  shampooing.

3.2.5  Auto Laundry

      There are three  main types of car washes:  tunnels,  rollovers and wands.  All
three types use  basically the same processes to wash the auto, however the type of
equipment used  to accomplish this task varies.

      Process—The first step in washing an auto is the application of detergents and
water and mechanically removing the dirt.  This may be accomplished by brushes or
                                       21

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high-pressure streams of water.  The auto is then rinsed with clean water-to remove
the dirt and soap. Finaiiy, the auto is dried either by a blower as in a tunnel or by
the owner in a wand-type facility.

      Equipment—The tunnel  wash is the largest of the three types and is usually
housed in a long building. The vehicle is pulled by a conveyor or driven through the
length of the building, passing through separate washing, waxing, rinsing, and drying
areas.  A  trench, usually  running the length of the  building, collects the waste
waters.  Because of this design, it  is possible  to  keep the wash and rinse waste
waters separate by installing  a dam  in the trench.  This facilitates the treatment
and partial reuse of the waste waters.

      At a  rollover wash, the  vehicle remains stationary while the equipment passes
over the car. Similar in design are the exterior pressure washes which utilize high-
pressure streams of  water in  lieu of brushes.  At both types, all the wastewater is
collected in a single  trench, usually situated beneath the car.

      The car also remains stationary at a wand wash, but here the customer washes
his own car with a high pressure stream  of water from a hand-held wand. As at a
rollover, both the wash and rinse waters are collected in a single trench or sump.
                                      22

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                                  SECTION!
                      INDUSTRY 5UBCATEGORIZATIOINI
     The auto and  other laundries  industry is composed of  a large  number of
individual firms which provide  services to a variety  of  customers.   The  mix of
customers that a laundry or auto wash serves, the volume of business that it does,
the particular chemicals, processes,  and equipment  used, and  many other  factors
have an effect on the volume and composition of the wastewater it generates.  In
order to  set  effluent  standards  which are  realistic, these differences must  be
accounted  for.   This is accomplished by dividing the  industry  into  individual
segments, or subcategories.
*.! FACTORS CONSIDERED FOR SUBCATEGOREATIOlNf

4.1.I General Types of Cleaning Processes Employed

     The three general types of cleaning processes used in the laundry industry are
water  wash, dual-phase, and  dry cleaning.   The degree  to  which each  of  these
processes are used in a given laundry establishment  is a primary determinant of
wastewater volume and composition.

     Table 4-1 summarizes data obtained by industry survey on the application of
these general types of cleaning processes in  industrial laundries, linen supplies, and
power laundries.

     Although dry  cleaning  is  performed  by  most industrial laundries  and  a
significant percentage of linen supplies and power laundries, a large majority of the
garments and flatwork articles handled  by these establishments are water washed.
Dual-phase cleaning is only practiced to a significant extent in the industrial laundry
subcategory,,

     None of the 25  diaper services responding to  the industry survey reported the
use of  dual-phase or  dry cleaning methods.   Only  5 of 35 coin-operated  laundries
surveyed  during  this study  have self-service  dry  cleaning  machines  on  their
premises.  Where this type of service  is offered  by coin-operated laundries, it
usually accounts for only a small percentage  of the total business.  As explained in
Section 3, in-plant carpet  cleaners do  not  use solvent  washing  techniques to  a
significant extent either.

     The dry cleaning plant segment (SIC 7216) of the laundry industry is the only
subcategory where the majority of the workload is dry cleaned rather than water

                                       23

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washed.  Wastewaters discharged by these establishments are considerably different
in terms of volume and composition than the wastewaters discharged by other types
of laundries.  These differences are illustrated in Section 5 of this report.

     •A small number of industrial laundries surveyed during this study dry clean the
majority of their workload. One industrial launderer reported that only 20% of the
total poundage processed at his plant is water washed.  Even under these conditions,
however,  the vast  majority of  the process wastewater  originates from aqueous
rather than dry cleaning processes.


4.1.2  Types of Garments and Flatwork Articles Cleaned

      The nature and quantities of  soil present on garments and  flatwork articles
cleaned by laundries are primary determinants of wastewater strength.  Soil loading
is, in turn, determined from the environment in  which these articles are used.

      Table 4-2  identifies the general types and relative amounts of items cleaned
by industrial laundries, linen supplies, and power laundries, based on the results of an
industry survey.

      TABLE 4-2.     GENERAL TYPES OF GARMENTS AND FLATWORK
                     ARTICLES HANDLED BY INDUSTRIAL LAUNDRIES,
                     LINEN SUPPLIES, AND POWER LAUNDRIES
                                              Percent of total poundage
                                               for industry subcategory

Typea
Industrial garments
Industrial flatwork
Dust control items
Linen garments
Linen flatwork
Commercial and institutional
garments and flatwork b
Family laundry
Diapers
OtherC
Industrial
laundries
45.0
22.0
16.0
1.1
4.7

<0.1
<0.1
0
11.1
Linen
supplies
5.2
2.1
4.2
7.8
69.0

6.8
0.3
1.8
2.8
Power
laundries
1.4
0.4
0.7
2.0
16.0

55.0
17.0
0.7
6.8
 alncludes only water-wash and dual phase poundage, except where noted.
 b Articles owned by the customer, not supplied on a rental basis.
 clncludes dry-cleaned apparel and miscellaneous articles.

      More than 80% of the total weight of material cleaned by industrial laundries
 consists of industrial garments (i.e., uniforms,  coveralls, work  shirts, and pants),
 industrial  flatwork items, particularly  shop towels, and dust control items such as
                                      25

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mats, maps and  tool  covers.   The  major  customers of industrial laundries are
chemical and manufacturing  plants, automotive repair shops and service stations,
machine  shops, printing establishments, and  janitorial services.   Garments  and
flatwork  articles  used  by these  and other industrial laundry customers tend to be
more  heavily  soiled  than  the   textiles  cleaned   by  establishments  in  other
subcategories that service primarily nonindustrial customers.

      Nearly 80%  of the work performed in the linen supply subcategory consists of
typical "linen" items such as  napkins, tablecloths,  bed sheets, pillowcases, towels,
aprons, and  nonindustrial uniforms.   Major linen supply customers  include restau-
rants  and food  services,  hospitals,  motels,  hotels,   schools, other  commercial
businesses and institutions.  Linen garments and  flatwork  are  usually much  less
heavily soiled than their "industrial" counterparts,  although restaurant linens can be
heavily laden with grease.   Industrial garments, flatwork, and dust control items
account for approximately 11 to 12% of the linen supply business (in terms of total
poundage).

      Power  laundries process many of the same types  of items that are handled by
linen supplies.  The major  differentiation is  that most of the articles cleaned by
power laundries  are owned  by  the customer rather  than by the  laundry itself.
However,  power  laundries  also wash  a significant  percentage of  family-type
garments, unlike industrial laundries and  linen supplies. Based on the survey results,
less than  3%  of  the  total  weight of  material  cleaned  by power laundries is
"industrial-type" work.

      As explained in Section  3, diapers and carpet account for the vast majority of
material cleaned in the diaper service  and carpet cleaning segments of the industry,
respectively.  Coin-operated laundries and commercial dry cleaners primarily cater
to individual customers and  families.

      Due to the nature and quantities of soil present on the major types of textiles
cleaned, industrial laundry wastewaters  tend  to  be  more  heavily  polluted  than
wastewaters from  other types of laundries. Linen supply wastewaters rank second in
strength on the average,  followed by wastewaters from power  laundries and diaper
services, carpet cleaners  and  coin-operated laundries, and dry cleaning plants.  This
trend is illustrated in Section 5.


4.1.3 Types of Laundering Chemicals Used

      Table 4-3 identifies the percentages of  industrial laundries,  linen supplies,
power laundries, and diaper  services that use  various types of laundering chemicals,
based on the results of an industry survey.
                                     26

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   TABLE 4-3.   CLASSIFICATION OF CHEMICALS USED BY POWER
                 LAUNDRIES, LINEN SUPPLIES, INDUSTRIAL
                 LAUNDRIES, AND DIAPER SERVICES
                                     Percentage of laundries which
                                   report using each class of chemical
Chemical
class
Alkali^
Caustic Soda
Silicates
Phosphates
Soap
Built Soap
Detergent
Bleach
Antichlor
Sour
Blueing and/or Brightener
Germicide or Bacteriostat
Mildew Inhibitor
Flame Retardant
Solvents
Dust and Treating Compounds
Starch
Power
laundries
67
25
17
4
50
38
67
100
29
96
29
25
4
13
33
13
88
Linen
supplies
67
23
30
11
33
39
81
95
44
98
9
37
68
16
25
58
84
Industrial
laundries
50
28
28
18
14
28
73
77
30
76
15
18
17
32
44
55
49
Diaper
services
70
11
11
48
». Q
48
30
30
93
37
85
11
85
4
0
4
7

aOther than caustic soda.
    The most obvious trends indicated by the data in Table 4-3 ares

    o    Phosphates and soaps are most widely used by diaper services, while
         linen supplies and  industrial  laundries use synthetic  detergents much
         more frequently.

    o    Germicides and bacteriostats are most widely used by diaper services,
         due to bacterial and viral contamination of diapers by feces.

    o    Mildew inhibitors are most commonly used for "linen supply"  items,
         which may be stored for extended periods of time.

    o    Solvents are  most widely  used  in  the industrial  laundry  subcategory
         where dual-stage and dry cleaning operations are more prevalent.
    o

    o
Flame retardants are also more widely used for industrial-type garments.

Dust and other specialty treating compounds are most commonly used by
industrial laundries and linen supplies.
                                  27

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     o     Starch is used by the majority of power iaundries and linen supplies, and
           by approximately 50% of the industrial laundries surveyed.

     The  degree  to  which laundering chemicals such  as  sours,  blueing  and
brightening agents, germicides and bacteriostats,  solvents,  dust  and  specialty
treating  compounds, etc., contribute to pollutant  loadings in wastewater depends
upon the particular compounds selected and the quantities of  these compounds that
are used  in various washing applications.

     The  general  types  of laundering chemicals used  in laundering selected
garments and f latwork articles are identified in Table 4-4.  This information is based
on data from  a survey of industrial laundries, linen supplies, power laundries, and
diaper services.  The quantity of  each chemical used depends  upon the particular
product  employed, and widely varying usage  rates were  reported by  different
laundry owners. In many cases, more than one generic type of laundering chemical
is contained in commercial formulations.

     Because the  same  general  types  of  chemicals are used in  many different
washing  applications  and  many  different  commercial  formulations  can be  used
interchangeably, it is not possible  to subcategorize the laundry industry on the basis
of chemical usage.  The dry cleaning plant subcategory  could  be  subdivided into
plants  that use perchloroethylene solvent  versus plants that use petroleum-based
solvents, however further subcategorization of this  industry sector is not considered
critical  due  to  the  relatively small  volumes  of  process  wastewater  that are
discharged by dry cleaning plants.

£.!.£  Age and Design of Equipment

     Most of the  new laundry equipment  being marketed is of similar design to
older units except that they tend to be more automated  and slightly more efficient
in the use of chemicals, water, and energy.  One innovation in design is the counter
flow type of wash equipment which is popular in Europe  but currently receives only
limited use in the U.S.  This type of equipment  has the potential to  moderately
increase  the strength of wastewaters simply because it uses considerably less water.

     However,  differences in wastewater  quality  and  quantity due to the age of
wash equipment are generally very minor.   Soils are  removed from the laundry and
thus incorporated in  the wastewater regardless of the age  or  type of  equipment
employed.  Therefore, anyu reduction in the mass  of pollutants discharged will be
from reductions in or elimination of, the use of specific laundry chemicals.  Since
there are substitutes  available for most  laundry chemicals which contain toxic
pollutants, the age of equipment is not significant in terms of pollutant discharge.

4.1.5  Operating Schedules

     Most commercial laundries operate 5 days per week and approximately 8 to 10
hours per day.  Coin-operated laundries, on  the other hand, are open anywhere from
8 to 24 hours per day and are usually closed only on holidays.  However, some of the
larger  linen  supplies, power laundries, industrial  laundries, and diaper services
operate 6 to 7 days per week and up to 24 hours per day.
                                     28

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      Although  the  operating schedule  of  a laundry  is  significant  in  terms  of
wastewater treatment system design capacity, it has no significance in relation  to
wastewater characteristics.  Effluent flow and composition vary -from hour to hour
throughout an operating day, however the overall waste  characteristics depend upon
the types of garments cleaned and the types of cleaning process used rather than the
operating schedule.

4.1.6 Geographical Location

      Laundries  are found in all parts of the United States, but subcategorization on
this  basis is not appropriate. Geographic location may be important in evaluating
treatment alternatives, however in this industry facilities are normally indoors.
 .2 GENERAL CONCLUSIONS
      Subcategories selected for the purpose of setting effluent limitations for the
auto and other laundries industry parallel the groupings established by the Standard
Industrial Classification  (SIC) system. The segments selected as candidates  for the
development of effluent  limitation guidelines and thus addressed by this report are:

                      Power Laundries, Family and Commercial
                      Linen Supply
                      Diaper Service
                      Coin-Op Laundries and Dry Cleaning
                      Dry Cleaning Plants Except Rug Cleaning
                      Carpet and Upholstery Cleaning
                      Industrial Laundries
                      Laundry and Garment Services Not Elsewhere
                      Classified
                      Car Washes

      The primary basis for the subcategorization  scheme outlined above are  (1)
differentiation by type of  item  to be washed,  whether garments, diapers or autos,
and (2) the nature and quantities of soil present on  these different  items discussed
above.   Soil  loading  is a primary  determinant of  wastewater  composition,  as
discussed in Section 5 of this report. The type of cleaning process used (e.g. water
wash  versus dry cleaning)  is also an important consideration in  differentiating dry
cleaning plants (SIC 7216) from  establishments in other industry subcategories. The
car wash subcategory is clearly demarked by the fact that only autos are  cleaned at
these facilities.
                                      30

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                                 SECTION 5
                  WASTEWATER CHARACTERISTICS OF THE
                  AUTO AND OTHER LAUNDRIES INDUSTRY
     This section identifies  the  sources, quantities and  characteristics of waste-
water discharged by the auto and other laundries industry. Subsection 5.1 discusses
the various sources and quantities of wastewater in laundries and auto washes. With
regard to laundries, those using water-wash are contrasted with those using solvent-
cleaning processes with particular emphasis'on process  wastewaters.  Discharge
rates are characterized in terms of m-Vday (gal/day) and either  m3/kg (gal/lb) of
material washed or m3/car (gal/car).  Factors affecting wastewater flow variability
between plants in different  subcategories  and between plants  within the same
subcategory are also discussed.

      Subsection  5.2 identifies and discusses the characteristics of process  waste-
waters in each industry subcategory.  Ranges, median and mean concentrations for
seven conventional pollutant  parameters and 129 toxic pollutants on the Consent
Decree list are presented and various factors that affect the concentrations of these
substances in laundry  and auto wash  wastewaters are discussed.  In addition, the
toxic pollutant loads in kg/day of pollutants were calculated from the average flow
data found in Table 5-1  and presented along with concentration data.
5=1 WASTEWATER SOURCES AND QUANTITIES
 5.1=1 Source of WasSewaters

      Based on the industry survey results tabulated in Section ^, 95% or more of all
 garments and flatwork handled in the  linen supply, power laundry, diaper service,
 carpet cleaning and coin-operated laundry  subcategories are water-washed.  Many
 linen supplies, power laundries and coin-ops offer dry cleaning services, but this is
 usually a very small fraction of the total business at  these  establishments.   Dry
 cleaning and dual-phase washing are more widely practiced in the industrial laundry
 subcategory,  but, here again, approximately 80% of the total workload  is water-
 washed.

      For typical  establishments in  these subcategories, 70-85% of the total water
 metered  into the plant  is  discharged  as  process  wastewater.   According to
 representatives of the  Linen  Supply Association of  America (LSAA), boiler require-
 ments account for 7 to 10% of the incoming water.  Water remaining in the textiles
 after extraction and subsequently evaporated during the drying cycle accounts for 8
 to 10% and miscellaneous  uses (e.g., sanitary, equipment cleaning) consume up to

                                      31

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10% of the total plant influent.  The process effluent to fresh water consumption
ratio at any given laundry depends upon the types of cleaning and finishing processes
used and the types of garments and flatwork articles being handled.

     The total water-wash effluent includes each of the series of wash, rinse and
conditioning waters used in the process.  Because the various laundry chemicals and
water added to and discharged from most washing machines are added and drained in
batchwise fashion, effluent flow is quite variable. This variability is stabilized to a
certain extent in large laundries  where  many machines, are operated  in staggered
cycles; however, considerable flow variability still  exists.  Counterflow  washing
machines,  on  the  other hand, discharge  the wastewater in a continuous  fashion;
however, this type of equipment is rarely used in the United States.

     Unlike laundries  that water-wash the majority of their workload, commercial
(or industrial) dry-cleaning plants do not consume or discharge  large  quantities of
process water. In such plants, the major sources of wastewater are the noncontact
cooling water used to condense solvent  vapors and the water used for sanitary or
other auxiliary purposes.  The only sources of process wastewater are the following:
(1) trace quantities of water present in the fabric being cleaned, (2) small volumes
of water added to the solvent to remove sebaceous soils from the fabric, (3) solvent-
contaminated steam condensate from the regeneration  of carbon columns  used  for
air pollution control and (4) solvent-contaminated steam condensate resulting from
the recovery of solvent from spent filter materials. Wastewater from each of these
sources is separated from the solvent by decantation and discharged directly to  the
sewer.  In all cases, extremely minor quantities of wastewater are involved.

     Many dry cleaning plants, particularly those using petroleum solvents rather
than perchloroethylenea, do not  use  carbon columns  for  air pollution  control or
"muck cookers" for  solvent recovery.  In  such plants,  solvent-contaminated steam
condensate is  not a source of process wastewater.

     As previously stated, many linen supplies, power laundries,  coin-ops and most
industrial laundries employ both water-wash and dry-cleaning processes.  Typically,
the dry-cleaning process wastewaters generated in  these  plants are  negligible in
comparison to the water-wash effluent. They may be combined with the water-wash
effluent for in-plant treatment and subsequent discharge, or discharged  separately.
In the latter case, the dry-cleaning wastewaters are not subjected to the same in-
plant  treatment (e.g., lint screens,  heat reclamation, etc.) as the water-wash
effluent; rather, they are discharged directly to the sewer connection or outfall.

      The wastewaters from dual-phase processing (which is used to  a  significant
extent only in the industrial laundry subcategory) combine the  characteristics of
water-wash and dry-cleaning  effluents.  When the solvent-wash cycle  is performed
first (i.e., when petroleum solvents are used), the subsequent water-wash effluent is
contaminated by the  solvent left in the  fabric after extraction; otherwise, it is
treated in the plant and discharged in the  same manner  as any water-wash effluent.
When the water-wash cycle is performed first (i.e., when perchloroethylene solvent
   Perchloroethylene, tetrachlorethylene, and "Perc"
      are simply different names for the same chemical.

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 is used), the total wastewater discharged from the process includes the water-wash
 effluent plus the water remaining in the fabric after  extraction, which is subse-
 quently removed from the solvent wash and decanted.

      Water usage at auto washing facilities consists primarily of water used  to wash
 the  autos.   To wash  the auto, detergent is added to  water  and is  used for both
 cleaning and brush lubrication purposes.  After this water is used to clean the auto,
 it is discharged as wastewater unless provisions have been made for recycle. In  the
 final operation the rinse water is used to clean the car of dirt  and soap.  This water
 is also discharged unless provisions are made to recycle a portion of the flow.

 5.1.2  Volumes of Wastewater Discharged

      As indicated  in  the  preceding subsection,  considerably  larger volumes  of
 wastewater  are  discharged from  water-wash processes than  from  dry-cleaning
 processes on a unit production basis.   Commercial laundries typically consume
 process water at a rate of 0.025 to 0.050 ml/kg (3  to 6 gal/lb) of material washed,
 approximately 90%  of which  is discharged  as wastewater.   In  the dry-cleaning
 industry,  however, water is usually added to the solvent bath at a rate of only 30 to
 200  cm3/kg  (0.00* to 0.023 gal/lb) of material washed (13).  The fraction of this
 water that is decanted from the solvent and discharged  depends upon  the particular
 solvent-recovery system  employed and varies from plant to plant.   Other  factors
 that influence the total process-water discharge rate are listed below:

      o    Whether  or not carbon columns are used for air pollution control  and are
           steam regenerated on site
           Whether or not solvent is recovered from spent filters by steaming
           The frequency at which these operations are performed and the quantity
           of steam used per cycle
      o    The relative humidity  and other  conditions that  affect  the moisture
           content of the fabrics being cleaned

      Thus, the quantities of solvent-contaminated wastewater discharged from dry-
cleaning plants vary considerably across the  industry.   However, these discharge
rates^are generally negligible (e.g., by a factor of 100) in comparison to correspond-
ing discharge rates for laundries in other industry  subcategories that  water  wash a
comparable  weight of material.

      Table 5-1 lists the typical range and average of process water discharge rates
for establishments in  the industrial  laundry,  linen supply,  power laundry, diaper
service,  coin-operated laundry, and the three types of  auto laundry subcategories.
These  figures are based on the industry survey data for process water consumption
and  the assumption of 10% evaporative loss discussed in the preceding subsection3.

      In terms of total wastewater volume,  linen supplies appear  to  be  the major
dischargers followed  by industrial laundries, power laundries, diaper  services and
co in-operated laundries. Coin-ops are, by far, the smallest waste dischargers on a
o
o
     Similar data  were not available for the in-plant  and out-of-plant cleaning
     segments of the carpet and upholstery cleaners subcategory.

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plant-by-plant basis.  In terms of wastewater volume per unit production, industrial
laundries  tend to be the largest discharges at 0.038 m-Vkg (4.6 gal/lb) of material
washed on the average. Average discharge rates for linen supplies, power laundries,
diaper services and  coin-ops  all fall in the 0.029 to 0.032 m3/kg (3.4-3.8 gal/lb)
rangea.

      Wastewater discharge rates are affected by essentially the same factors that
affect process water  consumption rates.   The  major factor affecting the total
volume of wastewater  discharged is the quantity of garments and flatwork being
washed.   Discharge  per  unit production  rates are  influenced by the types  of
materials handled, the  soil  loading on these materials, individual washing machine
design and  capacity,  overall laundering  capacity  (larger  laundries tend to  be
somewhat more efficient  in terms of water usage than smaller laundries)  and the
degree to which wastewater  recycle or reuse is practiced.   In  addition  to  the
aforementioned  factors which  influence process water  consumption, wastewater
discharge rates are affected by the efficiency of the extractors used.  In Table 5-1,
a universal  wastewater-discharge-to-water-consumption  ratio of 0.9  was assumed
because it is typical of the industry as a whole (according to LSAA representatives).
However, this assumption does not necessarily hold on a plant-by-plant basis.

      Wastewater discharge rates for auto washes to a large degree depend upon the
type of facility, whether tunnel, rollover, or wand, and the number of autos washed.
A brief discussion of  wastewater volumes for each type follows.

      Tunnels;  A tunnel  wash  has  the capacity to handle 80-120 cars per hour,
although the actual number of  cars processed is usually much lower. The number of
cars washed per  day at a tunnel  facility ranges  from about 100 to 600, with the
average at about 250.  When fresh water is used for all cleaning procedures,  an
average of about 70  gallons per car is used.  A large percentage of tunnel facilities
recycle their wash water, cutting their usage to about 40 gallons per car.  Carry-out
and evaporation account for a water loss of 2-8 gallons per car.  Tunnel washes then
use between 40 and 70 gallons  per car depending on whether the facility recycles  its
wastes or not.  For the average,  facility, this amounts  to between 10,000 and 17,500
gallons per day.

      Rollovers;  These facilities do a  much smaller volume of business  than  do
tunnels, washing, on the average, 75 cars per day, with a range of 10-150.

      A typical rollover uses between 30 and 45 gallons' of water per car depending
on the length of the cycle and the number of passes the equipment makes.  Exterior
pressure  washers  may use as much as 90 gallons per car.  The typical rollover will
discharge between 2,200 and 3,400 gallons per day with carry-out  and evaporation
losses about the same as tunnels.

      Wands;  The number of bays at a self-service wand-wash may range from one
to over ten, with an average of about 5. Each bay can handle between 5 and 12 cars
an hour, depending on the length  of  the cycle and  the number of cycles used.  A
typical wand will provide 4 gallons of water per minute for 5 minutes, or 20 gallpns
     Water consumption  and discharge  rates reported for coin-operated laundries
     may be somewhat low due to the methods used to estimate the total poundage
     of material washed.
                                       35

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of water per cycle.  The customer is usually able to choose from among wash, rinse
and wax modes and  therefore the amount of water used for washing as opposed to
rinsing may vary.  However, most  people tend to use about 2/3  of the cycle for
washing and 1/3 for rinsing.  Water losses at a wand wash may be greater than those
at tunnels or  rollovers as  the customer is able to  point the wand  in any direction,
causing water to be deposited in areas where it may not be collected in the sump.
Also, the  high  pressure (800-1000  psi)  causes atomization of the water  stream
leading to increased evaporation.

      There exist  regional variations  in the amount of water used at car washes.
These variations are the  greatest  where winter  conditions in northern climates
often necessitate  the  use  of salt  and  sand on the roads.  Car washes in these areas
must deal  with  increased  dirt  loads consisting  of  ice, salt and grit.  High  volume
initial rinses are  often used before the wash cycle and larger volume final rinses
may be necessary to remove any  dissolved salts left on the car so that spotting is
minimized.
5.2  WASTEWATER CHARACTERISTICS
      The characteristics of laundry wastewaters are influenced by three primary
factors:  the general type of cleansing process employed (i.e., water versus solvent
wash),  the types and quantity of soil present on the textiles being laundered and the
composition  of  the various  chemical additives used in  the  process.   Water-wash
effluents contain  all of the 'soil and lint removed from the textiles, as well as the
laundry  chemicals employed in the process.  On the other hand, wastewaters from
dry-cleaning  processes tend  to  contain water-soluble  materials; lint,  grit and
insoluble organic and inorganic compounds are largely removed by the solvent filter
or  confined  to  the still bottoms.   However, dry-cleaning  effluents also contain
appreciable quantities  of  solvent, which are  not normally present in  water-wash
effluents.  In car washes, the type of cleansing process (i.e., tunnel, rollover  or
wand) will usually determine the concentration of various pollutants in raw waste
effluents due to  the  differing amounts of water  used  and thoroughness of the
cleaning process.

      The types and quantities of  soil present on the textiles or  vehicles have a
major effect on  effluent  characteristics  regardless  of  the  cleaning  method
employed.   In  water-wash  processes, soil  loading  is the primary determinant  of
wastewater  strength and composition. This fact  is clearly illustrated in subsequent
subsections of this chapter, in which the characteristics of wastewater from various
industry subcategories are compared. Industrial laundry wastewaters, for example,
contain considerably higher pollutant loadings than the effluents from coin-operated
laundries or other establishments processing  nonindustrial garments and  flatwork.
Seasonal and geographic  differences also  affect the types and quantities of soil
present, particulary in the car wash subcategory.

      Although  of lesser importance than soil loading, the choice of laundry formula
can also influence the characteristics  of  water-wash effluents.   Several  of the
 conventional and nonconventional  pollutants  and a few of the substances on the
 toxic pollutant list are  either  present  or. suspected  to be  present in various

                                      36

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laundering chemicals.   Choice of solvent is a-major determinant of dry-cleaning
wasTewatlr characteristics, as well.  "Perc" (Perchloroethylene),  the  most popular
dryileaning solvent, is a toxic pollutant and several aromatic hydrocarbons on the
toxic pollutant list may be present in petroleum-based solvents.

     Concentration data are  presented in Subsections 5.2.1 and 5.2.2 for  seven
conventional and nonconventional pollutants and  each of  the 129 toxic pollutants
found  in  auto and other laundry wastewaters.   Minimum,  maximum, median and
mean pollutant concentrations are shown for each industry subcategory and factors
affecting  the variability in wastewater characteristics between  subcategories
between plants within a given subcategory and over a period of time at a^en plant
are discussed. Where possible, the source(s) of each pollutant in the wastewater are
identified.

      As described in Section 2, the pollutant concentration data were obtained from
industry trade association studies; Chicago, Los Angeles and Dade County, Florida,
monitoring reports; industry survey questionaires; NPDES monitoring reports; pub-
Ushed and unpublished  literature sources (14-22), and by   sampling  and analysis
performed in conjunction with this study.  In the sampling and analysis programs,
plants  were  selected as being  representative  of each  subcategory; no data  is
 available  to  indicate that  the  plants  were  not representative.  In addition, the
 number of plants sampled for each subcategory was considered valid in terms of the
 subcategory characteristics.,

 5.2.1  Conventional and Nonconventional Pollutants

       The conventional  and nonconventional  pollutant  parameters used to charac-
 terize laundry wastewaters in this study include the following:
       Conventional
       o    pH
       o
       o
       o
5-day biochemical oxygen demand
  (BOD5)
Total organic carbon (TOO
Total suspended solids (TSS)
Oil and grease
Nonconventional
o    Chemical oxygen
     demand (COD)

o    Phosphorus
       The term pH is commonly  used to describe-the hydrogen ion - hydroxyl ion
  balance in water.   Numerical pH values are the negative,  base-ten  logarithms of
  hvdroeen ion concentrations in water and  may  range from 0 to  1*.  A pM  01 /
  indicates neutrality, while  a pH below or  above 7  indicates acidic or alkaline
  conditions,  respectively.  The pH is often used as a surrogate indicator  of  excess
  acidity or alkalinity in wastewater, although it is not a direct or linear measure of
  either.

       In composite  auto and other laundry wastewater, the pH usually ranges  from
  8.0 to 11.0.  These relatively high pH values are attributed to the use of alkali in the
  break and suds cycles of the washing process.

       Biochemical  oxygen demand (BOD)  is defined  as  the  quantity  of  oxygen
  required for biological and chemical oxidation  of water-borne  substances under
                                      37

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ambient conditions.  The test  for BOD is a standardized, bioassay procedure that
measures the amount of  oxygen consumed  by selected microorganisms  in  the
degradation  of  carbonaceous  organic  materials,  ammonia  and  other  oxidizable
nitrogen compounds under conditions similar to those that occur in the aquatic
environment.   Thus, the BOD test  does not measure  the  concentration  of  any
specific compound in wastewater; however, it does provide a relative measure of the
oxygen  demand  exerted  on receiving waters  by all biodegradable substances in a
wastewater stream.

      Since many substances biodegrade very  slowly under ambient and test  condi-
tions, it is not feasible to measure the total biochemical oxygen demand of a waste
stream  on a routine basis.  Thus, the standardized test is designed  to measure 5-day
biochemical oxygen demand (6005).   Approximately 60 to 80% of the carbonaceous
oxygen  demand  is  measured by this  test, which provides a suitable indication of
waste strength in most cases.

      In auto and other laundry wastewaters, BOD^ concentrations are attributable
to organic soils on the textiles  or vehicles being laundered and to soaps, detergents,
starches and other organic process additives.

      Chemical oxygen demand (COD) is defined as the quantity of oxygen required
to completely oxidize waterborne substances that may or may not be biodegradable.
The test is a "wet chemical" technique conducted under acidic conditions, in which
strong chemical oxidizing agents (i.e., potassium  dichromate) are added  to  the
wastewater sample in the  presence of certain inorganic catalysts.  The COD test
measures  all pollutants  that are measured by  the BOD5 test, as  well as many
pollutants that are slowly biodegradable or nonbiodegradable.  Thus, it provides an
upper-bound  estimate of the oxygen demand that  may  be  exerted on  receiving
waters by a waste stream.

      Total organic carbon (TOC) is a direct measure of the  total organic material
present in wastewater, as opposed to a measure of oxygen demand.  The TOC  test is
an  instrumental technique that measures all  carbonaceous organics, regardless of
their potential biodegradabilitya.

      BOD5 provides a more direct measure of adverse water-quality impact and it
is used much more widely for regulatory purposes than either COD or TOC.  Thus,
BOD5 is preferentially used to assess  treatment system  efficiency in  Section 7.
However, COD and TOC  data are also presented in the following pages for purposes
of comparison.

     Total suspended solids (TSS) include all  organic and inorganic  materials that
are insoluble in wastewater and that are retained by standard pore-size filters  in the
     Certain organics that are strongly resistant to oxidation  are not  measured.
     Thus, reported TOC values are slightly less than the theoretical TOC.
                                     38

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gravimetric test procedure used.  Like  the  pH, BODjj, COD and TOC tests, the
suspended solids  test is a gross measure of wastewater strength (e.g., potential
impact on surface water turbidity); it does not measure the concentration at which
specific  chemical compounds  are  present in wastewater.   Lint, inorganic  soils,
organic soils  (such  as  oils and  greases)  and process additives  all contribute to
suspended solids loadings in laundry effluents.

      "Oil and grease" is a term  that includes a  wide variety of fatty  acids, soaps,
ester, fats, waxes and  various  petroleum products  that  can be  extracted  from
wastewater by certain organic solvents.   Freon extraction is the preferred EPA
method for oil and grease; however, the hexane and ether solubles test are also used.

      Oil and grease may be of animal, vegetable, or mineral (petroleum) origin and
may be free or dispersed in wastewater.  In the auto and  other  laundry industry,
most oil and grease present  in the  wastewater  is highly dispersed.   The major
sources are soil on the articles being laundered, soap, solvents that are sometimes
added to wash formulas  for  heavily  soiled items and  oil  from the laundering
equipment.

      Unlike the aforementioned  pollutant parameters,  phosphorus  is a specific
chemical element widely found in nature (although not in its elemental form).  It is a
necessary nutrient for biological  growth, but it can lead to eutrophication of surface
waters when discharged in large quantities. In auto and other laundry wastewaters,
the major sources of phosphorus are phosphate detergent builders,

5.2.1.1 Industrial Laundries

      Table 5-2 summarizes the conventional and nonconventional pollutant data
obtained for 73 industrial laundries.  For purposes of comparison, Table 5-3 shows
the concentration ranges at which these same pollutants (excluding pH) are normally
present in domestic sewage (23).

      In  comparison to domestic sewage, industrial laundry wastewaters typically
contain high loading of BOD«j,  COD, TOC, suspended solids and oil and grease.  The
median  BOD5 concentration  in  51  industrial  laundry effluents was 920  mg/1.
However, 8005 concentrations as  low as 91 mg/1 and as high as 7,800 mg/1 were
observed, which attests to the extreme variability in industrial {laundry wastewater
strength.

      The  median  TS5 concentration  in  69  wastewater  effluents was 700  mg/L
Suspended solids loadings were also quite variable, ranging from  68 mg/1  to 6,100
mg/1.  Oil  and grease concentrations ranged from  17 mg/1 to  7,900 mg/1  in 66
industrial laundry effluents, with a  median value of 730 mg/1.

      The mean concentrations of BODj>, T5S and oil and  grease were 40 to 50%
higher than the corresponding median concentrations  of these  pollutants.   This
reflects  the fact that the concentration  distribution for each of  these  pollutants is
skewed to the high end of the range.

      High  concentrations of  oil  and  grease, suspended solids  and  biodegradable
organics in industrial laundry wastewaters are primarily attributable  to the nature

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   TABLE 5-2.     CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
                 CONCENTRATIONS IN INDUSTRIAL LAUNDRY
                 WASTEWATERS
Pollutant
                                        mg/1
Number
Minimum
 cone.
Maximum
  cone.
Median
 cone.
Mean
cone.
PH
BOD5
COD
TOC
TSS
Oil and grease
Phosphorus
62
51
60
24
69
66
12
7.5
91
330
130
68
17
1.3
11.9 '
7,800
7,000
6,800
6,100
7,900
*1.6
10.5
920
3,800
1,200
700
730
9.1
10.4
1,300
5,000
1,400
1,000
1,000
12.2
                               40

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    TABLE 5-3«  CONVENTIONAL AND NONCONVENTIONAL
                POLLUTANT CONCENTRATION
                IN DOMESTIC SEWAGE (23)
  Pollutant
Typical concentration
    range, mg/1
BOD5
COD
TOC
TSS
Oil and grease
Phosphorus
      100-300
     250-1,000
      100-300
      100-350
      50-150
       6-20
                           41

-------
of  the workload handled by industrial laundries.   Heavily soiled  uniforms,  shop
towels and gloves used in the chemical and manufacturing industries  often comprise
a substantial portion of the business handled by these establishments.

      The variability in waste strength from one industrial laundry to another is also
at least partially attributable to the soil loading on the articles being water washed.
The highest pollutant loadings are found in wastewaters from plant processing a high
percentage of wiping towels  used in print shops, machine shops, automotive repair
shops, chemical plants and other heavy industrial operations.  Much lower pollutant
concentrations are  found in the wastewaters from plants handling a high percentage
of uniforms and dust control items used in  light manufacturing concerns.

      Factors such as water usage per pound of material washed and  the application
of dual-phase or dry-cleaning processes  also affect the concentrations at which
various pollutants are found  in  industrial laundry wastewaters.  For example, oil,
grease and many other organic substances are more soluble in  organic solvents  than
in water and, thus, they are not present to a large extent in the wastewaters from
solvent cleaning processes.

      In 62 composite wastewaters for which data were available,  the pH ranged
from  7.5 to 11.9 with a median value of 10.5. These high pH values reflect  the use
of  alkali   in the  break  and suds  cycles of  the  washing process.   Phosphorus
concentrations,  which ranged from 1.3 mg/1  to 41.6  mg/1 in  12 industrial  laundry
effluents,  are attributable to the variable usage of  phosphate detergent builders.
However,  the median phosphorus concentration of 9.1  mg/1 falls well within  the
concentration range normally  associated with  domestic sewage.

      In addition to plant-to-plant variability, wastewater  strength at any given
industrial  laundry may  be quite variable  from day to day and  from hour to hour.
This is caused by the changing nature of the workload and, on an instantaneous basis,
by the particular wash-cycle  effluents that are being discharged. For example, the
initial rinse, break and washwaters contain much  higher pollutant loadings than the
final rinse waters.

      Table 5-4  presents pH, BOD^, TSS and oil and grease data for the wastewater
from  one  industrial laundry sampled on 30 separate days over a several year period.
These data clearly illustrate the  fluctuating characteristics  of industrial  laundry
wastes.

5.2.1.2  Linen Supplies

      Table 5-5 summarizes the conventional and  nonconventional  pollutant data
obtained for 60 linen supply laundries.  Comparing these  results with the data shown
in Tables  5-2 and 5-3, it appears that linen supply wastewaters typically  contain
higher concentrations of  BOD^, COD, TOC, suspended solids and oil and grease than
does domestic sewage, but much lower concentrations of these pollutants than do
industrial  laundry wastewaters.

      In 50 linen laundry wastewaters, BOD^ concentrations ranged from 58 mg/1 to
1,500  mg/1. Suspended solids concentrations were also quite variable, ranging from
20 mg/1 to 1,200 mg/1 in 59 plant effluents.  In  52 plant effluents, oil and grease
                                     42

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TABLE 5-4.  VARIABILITY OF CONVENTIONAL POLLUTANT
           LOADINGS IN WASTEWATER FROM ONE
           INDUSTRIAL LAUNDRY
Day






























Minimum
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30

Maximum
Mean
Standard

deviation
pH
11.9
12.0
12.6
11.6
12.2
11.8
11.8
10.0
11.5
11.6
11.7
11.4
11.6
10.7
10.8
10.9
10.7
10.1
10.4
10.2
11.0
12.0
Ilc9
9.4
10.2
.___


_„_

9.4
12.6
11.2
0.8

BOD5
1,700
	
2,500

	
— ,_

	
	
	
_« —
___
___
710
650
1,300 ' '

690
___
940
680

___

___
930
1,400
1,600
2,200
3,700
650
3,700
1,515
989
• mg/1
TSS
2,300
2,100
2,400
1,900
1,900
2,100
5,000
2,800
3,600
4,000
3,800
2,700
2,300
810
650
3,500
1,700
1,800
___
2,600 '
4,400
3,800
5,300
_ —

1,300
2,400
2,000
2,000
2,600
650
5,300
2,658-
1,169

Oil and grease
490
1,800
2,200
240
5,300
2,100
2,800
2,600
3,400
3,400
3,800
___
.«.«
400
510
1,600
970
720
1,200
1,200
2,600
3,500
3,900
1,500
1,400
2,400
2,300
2,400
1,300
2,400
240
5,300
2,087
1,234

-------
     TABLE 5-5.     CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
                    CONCENTRATIONS IN LINEN LAUNDRY WASTEWATERS
                                              mg/1
Pollutant
Minimum
Number cone.
Maximum
cone.
Median
cone.
Mean
cone.
pH                58        7.5         12.3         10.2         10.1
BOD-             50       58        1,500          610          620
COD              26      300        4,000        1,500        1,600
TOC              28       28        1,200          300          400
TSS               59       20        1,200          360          400
Oil and grease      52       27         910          300          330
Phosphorus          5        5.4         48.5         14.5         18.7
                                  44

-------
 levels varied from  27 mg/1  to  910 mg/1.  The median  concentrations  of  BODs,
 suspended solids and oil and grease in these wastewaters  were 610 mg/1,  360 mg/1,
 and 300 mg/1, respectively. Similar mean concentrations were observed.

    .  These  concentrations are  1.5  to  2.5 times lower  than the  median  8005,
 suspended solids and oil  and grease concentrations shown in Table 5-3 for  the
 industrial laundry subcategory and 2 to 3.5 times lower than  the corresponding mean
 pollutant concentrations in industrial laundry wastewaters.  This is attributed to the
 lighter soil  loading  on  items, such  as  bed sheets,  pillowcases,  towels, napkins,
 tablecloths and uniforms,  which  comprise the  majority of the linen supply business.
 Phosphorus and pH were found at similar levels in industrial laundry and linen  supply
 effluents,  which reflects the fact  that these  pollutants  are introduced to  the
 wastewater by process additives rather than by soil on the articles being laundered3.

      As indicated in Section  4, many linen supplies service industrial-type garments
 and flatwork articles as well as  the more traditional linen supply  items.  Plant-to-
 piant differences in the amount  of "industrial laundry" work performed is a major
 cause for the variable pollutant concentrations noted above.  However, BOD5, TSS»
 and oil and  grease  loadings are also influenced by  the  particular types of  "linen
 supply work" performed.  For example,  the wastewaters  from laundries washing a
 high percentage of  aprons, tablecloths, napkins, etc., used  in restaurants contain
 higher levels of oil and grease than do wastewaters  from laundries washing a high
 percentage of sheets or towels used in hotels.

      Laundering chemicals were not considered as a  major source  of BOD5, TSS, or
 oil and grease  in industrial  laundry  wastewaters.   However,  detergents,  soaps,
 starches and other  organic process chemicals contribute BOD to the wastewater;
 soap is also  a source of oil and  grease.  These  pollutant sources  are considerably
 more significant in comparison to soil loading in the linen supply subcategory than in
 the industrial laundry subcategory.  Variable oil and  grease  concentrations in linen
 laundry wastewaters are  at least partially attributable to the fact that some
 establishments use soap while others use synthetic detergents.

 5.2.1.3  Power Laundries, Family and Commercial

      Table 5-6 summarizes the conventional and nonconventional  pollutant data
 obtained for  1* power laundries.  Comparing these data to the data shown in Tables
 5-3 and  5-5, it appears that power laundry wastewaters typically contain  lower
 concentrations of 6005, COD, TOC, suspended solids and oil and grease than either
 industrial laundry or linen supply  wastewaters.  Much  narrower ranges in concentra-
 tion are also  indicated.

     Both of these  observations  are related to the types  of customers serviced by
 power  laundries.  Family wash has  been traditionally  the  largest source of business
 for these  establishments,  but   many  power  laundries  now service commercial
businesses.
a    Actually, high pH is induced by process additives (i.e., alkali).
                                      45

-------
TABLE 5-6. CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
         CONCENTRATIONS IN POWER LAUNDRY WASTEWATERS

Pollutant
pH
BOD-
*5
COD^
TOC
TSS
Oil and grease
Phosphorus

Number
1*
8
11
4
11
9
6
Minimum
cone.
6.5
110
190
58
50
3
<0.05
Maximum
cone.
11.1
940
1,400
240
410
370
23.5
Median
cone.
9.6
210
580
160
230
52
4.0
Mean
cone.
9.4
340
660
150
220
110
7.3
                         46

-------
and service organizations.  However, very little "industrial-type" work is performed;
hence, the soil loadings on garments washed in these laundries tend to be light.

     The median and mean concentrations of BOD5, COD, TOC, TSS, oil and grease
and phosphorus shown in  Table 5-6 are comparable  to  the  levels at which these
pollutants are found in domestic sewage.  However, power laundry wastewaters tend
to be more alkaline than  does  domestic sewage  due to the use of alkali in the
washing process.   In 1* plant effluents for which data were available, the median
and mean pH values were 9.6 and 9.4, respectively.

5.2.1.4 Diaper Services

     Table  5-7  summarizes  the conventional and nonconventional pollutant  data
obtained for 9 diaper service effluents.

     In terms of BOD^, COD and oil and grease, these wastewaters appear to be
roughly equivalent to the wastewater  discharged  by  power  laundries.    Higher
concentrations of TOC and phosphorus and lower concentrations of suspended solids
were present in the diaper service effluents, but these  observations are based on
limited data and may not represent the entire industry.

     Median and mean concentrations of all pollutants listed in Table 5-7, excluding
pH are roughly comparable to the levels at which these pollutants are present in
domestic wastewaters.

5.2.1.5 Coin-Operated Laundries

     Table  5-8  summarizes  the conventional and nonconventional pollutant  data
obtained for 33 coin-operated laundries.  Based on the median  and  mean pollutant
concentrations shown in this  table, coin-op wastewaters are less heavily polluted
than are the wastewaters  from any of the four commercial laundry subcategories
previously discussed and they are comparable to low-strength domestic wastewaters.
Lightly-soiled family  wash  accounts  for  nearly all of  the  business  at  these
establishments.

5.2.1.6 Carpet and Upholstery Cleaners

     Table  5-9  presents conventional and nonconventional pollutant data  for one
carpet-cleaning  plant sampled during  the course  of  this study.   Except for
phosphorus, all pollutant concentrations are  comparable  to or less than the median
and mean pollutant loadings shown for coin-operated laundry wastewaters in Table
5-8.

5.2.1.7 Dry-Cleanlng Plants

     Table  5-10 presents conventional and nonconventional pollutant data for one
commercial  dry-cleaning  plant using  perchloroethylene  solvent.   All  pollutant
concentrations are extremely low — in the  range of or below analytical detection
limits.  The  source  of process wastewater at  this plant was condensate from the
steam regeneration of carbon columns used for solvent vapor emission control.
                                     47

-------
     TABLE 5-7. CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
               CONCENTRATIONS IN DIAPER LAUNDRY WASTEWATERS
                                             mg/1
  Pollutant
        Minimum
Number    cone.
          Maximum
            cone.
             Median
             cone.
           Mean
           cone.
pH
BOD.
COD9
TOC
TSS
Oil and grease
Phosphorus
   9
   5
   8
   2
   8
   7
   2
  7.0
160
230
380
 80
 19
 15.5
   11.0
  560
1,100
  400
  280
  330
   30.0
 10.4
240
520
390
130
 85
 22.8
  9.9
320
580
390
150
120
 22.8
                                  48

-------
TABLE 5-8. CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
         CONCENTRATIONS IN COIN-OPERATED LAUNDRY
         WASTEWATERS
                                    mg/1

Pollutant
pH
BOD-
COD
TOC
TSS
Oil and grease
Phosphorus

Number
29
31
18
1
28
13
2
Minimum
cone.
6.*
17
73
68
17
< 2
1.5
Maximum
cone.
9.2
500
930
68
630
18.0
Median
cone.
8.0
120
270
68
85
23
9.8
Mean
cone.
7.9
1*0
3*0
68
1*0
26
9.8
                          49

-------
 TABLE 5-9. CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
          CONCENTRATIONS IN WASTEWATER FROM ONE
          CARPET-CLEANING PLANT
Pollutant
concentration, mg/1
PH
BOD-
COD
TOG
TSS
Oil and grease
Phosphorus
7.1
99
280
46
100
19
29.0
                           50

-------
TABLE 5-10.
CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
CONCENTRATIONS IN WASTEWATER FROM ONE
DRY-CLEANING PLANT
Pollutant
                  concentration, mg/1
     PH
     BOD
     TOC
     TSS
     Oil and grease
     Phosphorus
                             7.2
                            <2
                             8
                             2
                             3
                            <2
                             0.2
                            51

-------
5.2.1.8  Car Washes

      Table 5-11  summarizes the  conventional  and  nonconventional  raw  waste
pollutant data obtained for 6 rollover  and 6 wand and 17 tunnel type car washes.
For purposes of comparison, Table 5-12 presents separate tunnel car wash data for
both wash and rinse  wastewater.   Based on median and mean pollutant concentra-
tions  shown  in these  tables, wand type car wash wastewaters are more  heavily
polluted than wastewaters from tunnel types and rollover type car wash wastewater
are the least polluted.

      The  median and mean  concentrations  of  BODjj, TOC and phosphorus were
below the typical concentration range of pollutants present in domestic wastewater.
COD,  TSS and oil  and  grease  concentrations  were  equivalent to  or  below  the
concentration in domestic sewage.

5.2.2  Toxic Pollutants

      Table 5-13 lists  the 129 toxic substances  that  are  classified  by the EPA as
toxic  pollutants.  The list includes 13 metals, cyanide, asbestos and 114 organic
compounds.  In this study, auto and other laundry wastewaters were sampled and
analyzed for each of these pollutants except asbestos. Data were also collected for
total  phenol and are included in this section.  Although total phenol is not a specific
toxic  pollutant, it is a convenient surrogate for the  various phenolic compounds
listed as toxic pollutants.

      Several toxic pollutants are either known or suspected to be present in various
laundering chemicals.  These include;

      o     Zinc, present as zinc silicofluoride in sours and as zinc-2-pyridinethio in
           germicides
      o     Phenolic   compounds,  several  of  which  are  used  in germicides,
           bacteriostats and dust treating compounds and as detergent additives
      o     Naphthalene, a constituent  of naphtha-based oils  used for dust treating
           purposes  (16) and various naphtha-based solvents
      o     Benzene,  which  is  a  major  precursor  of alkyl  benzene   sulfonate
           detergents  and which may be present in aromatic solvents used  in the
           industry
      o     Miscellaneous  aromatic compounds present in petroleum-based solvents
      o     Polynuclear aromatic hydrocarbons, which  may be present in stilbene-
           based fluorescent whiteners as manufacturing by-products (16)
      o     Perchloroethylene,  or "perc", which  is  the most commonly  used  dry-
           cleaning solvent
      o     Methylene chloride and trichloroethylene,  which are  major constituents
           of at least one commercial solvent formulation
      o     Mercury, which is present at trace levels in caustic soda

      Indirectly, chlorine bleaches may also contribute to toxic pollutant loadings in
wastewater by  converting  relatively harmless  low-molecular-weight organics to
chlorinated organic substances.

      These and other toxic pollutants may be present  in the soil on the articles or
vehicles being washed, as  well.  This is  likely  to occur particularly in the industrial
                                      52

-------
    TABLE 5-11.     CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
                   CONCENTRATIONS IN ROLLOVER, WAND AND TUNNEL
                   TYPE CAR WASH WASTEWATERS.
Pollutant
Number3  Minimum  Maximum Median   Mean
Rollovers
pH
BOD5
COD
TOC
TSS
Oil and grease
Phosphorus
Wands
pH
BOD5
COD
TOC
TSS
Oil and grease
Phosphorus
Tunnels
PH
BOD5
COD
TOC
TSS
Oil and grease
Phosphorus
Concentrations
6
6
4
*
6
6
4

6
6
4
it
6
6
4

4
17
16
16
17
17
16
6.2
8.0
102
24
30
6.0
0.25

6.4
29
167
29
106
20
0.8

7.5
< 6.0
61
16
36
5.7
0.38
7.7
132
254
173
576
188
1.9

8.3
220
1120
160
2970
404
3.2

9.0
147
517
169
848
239
24
7.7
20
135
31
158
9.4
0.41

7.4
69
238
79
659
90
2.8

8.7
42
178
31
101
20
1.9
(mg/1)
7.3
37
156
65
199
45
0.74

7.5
90
442
86
929
126
2.4

8.5
51
216
52
165
38
3.2
   Number of data points

-------
     TABLE 5-12.
CONVENTIONAL AND NONCONVENTIONAL POLLUTANT
CONCENTRATIONS IN TUNNEL TYPE CAR WASH RAW
WASH AND RINSE WASTEWATERS
Pollutant
                                      Concentration (mg/1)
Number   Minimum  Maximum  Median
Mean
Raw Wash
pH
BOD5
COD
TOC *
TSS
Oil and grease
Phosphorus
Raw Rinse
pH
BOD5
COD
TOC
TSS
Oil and grease
Phosphorus

15
15
1*
14
15
15
14

13
13
12
12
13
13
12

7.1
18
96
16
28
4.8
0.4

7.3
8.0
64
11
19
5.8
< 0.2

10
191
653
210
882
655
27

•9.4
153
376
100
153
114
18.0

8.0
45
204
66
121
17
2.3

8.0
53
166
27
54
43
0.92

8.3
59
261
70
195
68
4.0

8.1
59
184
32
62
39
2.8
  Number of data points
                                54

-------
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laundry  subcategory,  due to  the  nature of  the  workload  handled by  these
establishments.

      In the following paragraphs, specific toxic pollutants are discussed with regard
to their sources and their toxicity to humans and animals.

      The toxic metals found most frequently and at the highest concentrations are
lead, zinc, copper and chromium.  Because the raw waste concentrations observed
for these four metals  are  considered significant, lead,  zinc, copper and chromium
have been selected for regulation.  Other toxic metals are excluded from regulation
under Paragraph  8(a)(iii) of the  Consent Decree because they are present only in
trace amounts and are neither causing or likely to cause toxic  effects or because
they are present in amounts to small to be effectively reduced.

      Lead - Lead is used in various solid forms both as a pure metal and in several
compounds.  Lead appears in some natural waters, especially in those areas where
mountain limestone and galena are found and can also be introduced  into water  from
lead pipes by the action of the water on the lead.

      Lead is  a toxic material that is  foreign to humans and animals.  The  most
common form of lead poisoning is called plumbism.  Lead can be introduced into the
body from  the atmosphere  containing lead or from food and water.  Lead cannot be
easily excreted and is  cumulative in the  body over  long periods of time, eventually
causing lead poisoning with the  ingestion of an excess of 0.6 mg  per day over a
period of years.  It has been recommended that 0.05  mg/1 lead not be exceeded in
public water supply sources.

      Fish and other  marine life have had adverse effects from lead and lead salts in
their environment.  Experiments have shown  that small concentrations of heavy
metals, especially of lead, have caused  a  film of coagulated mucus to form first
over the gills  and then over the  entire body probably causing suffocation of the fish
due  to  this obstructive  layer.  Toxicity of lead is increased with a  reduction of
dissolved oxygen concentration in the water.

      Zinc  - Occurring  abundantly in rocks and ores, zinc is readily  refined to a
stable pure metal and  is  used  extensively as  a metal, an alloy, and a plating
material.   In addition, zinc  salts  are  also  used in  paint pigments, dyes,  and
insecticides.  Many of these  salts (for example, zinc chloride and zinc sulfate) are
highly soluabie in water;  hence,  it is  expected that  zinc  might occur in many
industrial wastes.  On  the  other hand, some zinc salts (zinc carbonate, zinc oxide,
zinc sulfide) are insoluble in water, and consequently, it is expected that some zinc
will precipitate and be removed readily in many natural waters.

      In soft water, concentrations of zinc  ranging  from 0.1 to 1.0  mg/1 have been
reported to be lethal to  fish.  Zinc is thought to  exert its toxic action by  forming
insoluble compounds with the mucous that covers the gills, by damage  to the gill
epithelium, or possibly by  acting as an internal  poison.  The sensitivity of fish to
zinc varies with species,  age,  and  condition,  as  well as with the physical and
chemical characteristics of the water. Some acclimatization to the presence of the
zinc is possible.  It also has been observed that the effects of zinc poisoning may not
become  apparent  immediately  so  that fish removed from  zinc-contaminated  to
                                     56

-------
zinc-free water may die  as long as 48 hours after the removal.   The presence of
copper in water may increase the toxicity of zinc to aquatic organisms, while the
presence of calcium or hardness may decrease the relative toxicity.

     Concentrations of zinc in excess of 5 mg/1 in public water supply sources cause
an undesirable taste which persists through conventional treatment.  Zinc can have
an adverse effect on man and animals at high concentrations.

     Chromium - Chromium  is  an elemental metal  usually found as a chromite
           The metal is normally processed by reducing the oxide with aluminum.

     Chromium and its compounds are used extensively throughout industry.  It is
used to harden steel and as an ingredient in other useful alloys.  Chromium is also
used in the electroplating industry as an ornamental and corrosion resistent plating
on steel and can be used in pigments and as a pickling acid (chromic acid).

     The two most prevalent chromium forms found  in industry wastewaters are
hexavalent and trivalent chromium. Chromic acid used in  industry is a hexavalent
chromium  compound  which is  partially  reduced  to the trivalent  form during use.
Chromium can exist  as either trivalent or hexavalent compounds  in  raw  waste
streams.  Hexavalent chromium treatment involves reduction to the trivalent form
prior to removal of chromium from the waste stream as a hydroxide precipitate.

     Chromium, in its  various valence  states, is hazardous to man. It can produce
lung tumors when inhaled and induces skin sensitizations.  Large doses of chromates
have corrosive effects on the intestinal tract and can cause inflamation of the
kidneys. Levels of chromate ions that have no effect on man appear to be so low as
to prohibit determination to date. The  recommendation for public water supplies is
that such supplies contain no more than  0.05 mg/1 total chromium.

     The toxicity of chromium salts to fish and other aquatic life varies widely with
the species, temperature, pH, valence of the chromium and synergistic or antagonis-
tic effects,  especially that  of  hard  water.  Studies have  shown that  trivalent
chromium is  more toxic to fish of some types than hexavalent chromium.   Other
studies  have  shown opposite effects.  Fish food organisms and other lower forms of
aquatic life are extremely sensitive to chromium and it also inhibits  the growth of
algae.

     Copper - Copper is an elemental metal that is sometimes found free in nature
and is found in many minerals such as cuprite, malachite, asurite,  chalcopyrite, and
bornite.  Copper is obtained from these ores by smelting, leaching, and electrolysis.
Significant industrial uses, are in  the  plating, electrical, plumbing, and heating
equipment industries.  Copper is also  commonly  used with  other minerals as  an
insecticide and fungicide.

     Traces  of copper  are found in all  forms of  plant and animal  life, and it is an
essential trace element for nutrition. Copper is not considered to be  a cumulative
systemic poison for humans as it is readily excreted by the body, but it can cause
symptoms of  gastroenteritis, with nausea and intestinal  irritations, at relatively low
dosages.   The limiting factor in domestic  water supplies  is  taste.   Threshold
concentrations for taste have been generally reported in the range of 1.0 - 2.0 mg/1
                                      57

-------
of copper  while  concentrations  of 5.0  to 7.5 mg/1 have made water completely
undrinkable.   It  has  been recommended  that  the  copper in public water  supply
sources not exceed 1 mg/1.

     Irrigation waters containing  more  than minute  quantities of copper can be
detrimental to certain crops.  The toxicity of copper to aquatic organisms varies
significantly,  not only with  the species,  but  also with the physical and chemical
characteristics of the  water, including temperature, hardness,  turbidity, and carbon
dioxide content.

     Copper  concentrations  less  than  1  mg/1 have  been reported  to  be toxic,
particularly in soft water, to many kinds of fish,  crustaceans, mollusks, insects,
phytoplankton  and zooplankton.   Concentrations of copper,  for  example,  are
detrimental to  some  oysters above  0.1  mg/1.   Oysters cultured  in  sea  water
containing  0.13-0.5 mg/1 of copper deposted metal in their bodies and become unfit
as a food substance.

     Others  - Antimony,  arsenic,  cadmium,  mercury, nickel,  silver, and cyanide
were all frequently detected  in industrial laundry wastewaters, but generally at
much  lower  concentrations  than  lead,  zinc,  copper, or chromium.   Antimony,
arsenic, and nickel were found in one or more wastewater samples at concentrations
greater than 1.0 mg/1, but the median concentration of each of these metals was
below  0.5 mg/1.  Soil on the articles being laundered is considered to be  the major
source of these contaminants since none of them were found at comparable median
levels in wastewaters from plants in the other industry subcategories.

     The organic priority pollutants found most consistently in laundry wastewaters
were toluene, bis(2-ethylhexyl) phthalate,  tetrachloroethylene, naphthalene, chloro-
form, and benzene.

     Toluene - Toluene is toxic to man, animal, and aquatic  life;  however,  it is
apparently not inhibitory to POTW  operation.  Toluene at the 500 nng/1 level has no
applicable effect on sludge digestion processes (47).

     Toluene is widely used in the chemical industry as a precursor for benzene and
other intermediates, as a solvent for surface coatings, adhesives, inks, paints,  etc.,
and as a gasoline additive.  It may be present in various aromatic solvents used by
the laundry  industry,  especially by industrial  laundries  to  aid in  oil and  grease
removal.

     Bis(2-ethylhexyl)  phthalate -  Bis(2-ethylhexyl) phthalate is widely  used  as  a
plasticizer in polyvinyl chloride plastics to impart flexibility.  It is also used  as  a
pesticide carrier, in cosmetics, fragrances, industrial oils, and insect repellents to a
lesser  extent.   Leaching of  textile coating formulations is  a potential  source of
bis(2-ethylhexyl) phthaiate in laundry wastewaters.

     Perchloroethylene -  Perchloroethylene  is  used  in  metal degreasing applica-
tions, as a scouring and sizing agent in the textile industry, and as a raw material in
the production of  C2  fluorocarbons.   However, it is most  widely used as a dry
cleaning solvent.  This is the most  probable source of perchloroethylene  in laundry
wastewaters.
                                    58

-------
      Perchloroethylene is toxic to man and other animals, and has been implicated
as a carginogen in mice.  Very limited data are available on the fate and potential
adverse effects of this compound  in POTW's; however, one investigator reports that
perchloroethylene is inhibitory to  the anaerobic sludge digestion process at concen-
trations of 20 mg/1 or higher (47,48).

      Naphthalene - Naphthalene  is known to be toxic to man, other animals, and a
number of fish  species.   At concentrations of  2500 mg/1, naphthalene  is toxic to
sewage treatment plant organisms (49).

      Naphthalene is used in the production of phthalic anhydride; insecticides; dye,
pigment, and rubber processing chemical intermediates; leather tanning agents; and
moth repellents.  Naphthalene is also present in naphtha-based solvents and dust
treating oils used by the laundry industry, particularly by industrial laundries.

      Chloroform - Chloroform (CHC^) is toxic  to  man, other mammals, and fish
and is a suspected carcinogen in animals.   Apparently, chloroform is not inhibitory
to activated sludge processes  (49).  However, various investigators have reported
that chloroform is inhibitory to anaerobic digestion  processes at concentrations  (in
sludge) ranging from 0.1 to 20 mg/1 (22,50-53).

      Chloroform is  used  in  the production  of  fluorocarbon  refrigerants, and as a
solvent for fats, oils, rubbbers, alkaloids,  waxes, and resins.    Chloroform is
ubiquitous in  city  water supplies,  due to  chlorination of  low  molecular  weight
organics in water treatment processes.

      Benzene  - Benzene is toxic to  man, other  mammals, and  fish, and is a
suspected carcinogen in man. Apparently, benzene has little  or no adverse effect on
the activated sludge process, although it can seriously retard sludge digestion at a
concentration of 1000 mg/1 (47).

      Benzene is primarily used   by the chemical industry  as a raw  material for
ethylbenzene, cumene, cyclohexane,  aniline,  chlorobenzenes,  maieic  anhydride,
synthetic  detergents, and other chemicals.  It has been widely used as a solvent in
the past, but this market has been phased out to a large extent due to the suspected
carcinogenicity of benzene.

      Others  - Fourteen other organic priority pollutants were detected in at least
one industrial laundry  wastewater at concentrations greater than 0.1 mg/1.   These
include carbon  tetrachloride,  1,1,1-trichloroethane, dichlorobenzenes  (ortho- and
para isomers), 2,4-dimethylphenol, ethylbenzene, methylene chloride, isophorone,  N-
nitrosodiphenylamine,  phjenol, butyl benzyl  phthalate, di-n-butyl phthalate, di-n-
octyl phthalate, anthracene, and  trichloroethylene.  The frequency and maximum
concentration at which each of   these compounds was detected are shown in the
following subsections.

      Other than the six  compounds discussed  in  the  preceding  pages,  no organic
priority pollutants were found at  more than 0.1  mg/1 in linen supply, power laundry,
diaper service, carpet cleaning, or coin-operated laundry wastewaters.

      In the following  pages, toxic pollutant concentration  data  are presented for
wastewaters from each industry  subcategory.  Priority pollutant concentrations in

                                       59

-------
auto and other laundry water supplies are also identified to provide an indication of
the background levels at which the various compounds are normally present.  All
organic toxic  pollutant data  are  based on  sampling and analysis performed in
conjunction with  the Effluent  Guidelines study  and the results of an earlier study
(54).  Metals, cyanide and total phenol data were also obtained from industry survey
and  trade association  reports, Chicago MSD  monitoring reports and  literature
sources (11,55,56).
5.2.2.1  Industrial Laundries

     Table  5-14 summarizes the toxic  pollutant data collected  for the industrial
laundry subcategory.  It identifies the maximum, median and mean concentrations at
which each pollutant was found and the number of plant wastewaters in which these
pollutants were detected as well  as the daily load of each pollutant in kg/day.  For
purposes of comparison, Table 5-15 presents  similar data for laundry water supply
samples collected and analyzed over the course of this program.

     Ten of the thirteen toxic pollutant metals were found in more than 50% of the
industrial laundry effluents.  Lead, zinc and copper were detected in virtually all of
the samples and were present at  higher concentration than any of the other metals.
The median concentrations of lead, zinc and copper  were  3.2 mg/1, 2.4 mg/1 and 1.2
mg/1, respectively.  The corresponding mean concentrations of these metals were
4.5 mg/1, 3.0 mg/1 and 1.7  mg/1. Chromium, nickel,  antimony,  cadmium, arsenic,
silver and mercury were also detected in the majority  of the plant wastewaters, but
generally at much lower concentrations.

     With the possible exception of zinc and mercury, the presence of these metals
in industrial laundry wastewater is largely attributable to soil on  the articles being
washed. For example, several industrial laundry owners surveyed during the course
of this study identified print shop  towels as  a  major source  of lead in their
wastewaters.

     Cyanide and  total phenols  were detected in 68% and  8996 of  the laundry
wastewaters, respectively.  With few exceptions, however, cyanide was found only
at low levels.  The median cyanide concentration was found only at low levels. The
median cyanide concentration was 0.026 mg/1, which is in the range of the detection
limit.   The mean cyanide concentration was 0.14  mg/1.  Somewhat higher phenol
concentrations  were noted, probably due  to  the presence  of  these compounds in
various laundry chemicals and possibly due to soil contamination since phenol and its
derivatives are widely used in industry.

     A total of 25 specific  organic toxic pollutants were detected in one or more of
the 19 industrial laundry effluents analyzed for  these substances.  Most of  the 25
compounds  fall  into  one of four categories:   aromatic hydrocarbons  and their
chlorinated  derivatives,  low-molecular-weight halogenated aliphatics, phenol  and
derivatives thereof and phthalate esters.

     Six organic   toxic  pollutants  were  detected  in  more  than  50% of  the
wastewater samples:    toluene, bis(2-ethylhexyl)  phthalate,  perchloroethylene,
naphthalene, chloroform and  benzene; however,  only  toluene and bis(2-ethylhexyl)
                                    60

-------
TABLE 5-1*.     TOXIC POLLUTANT CONCENTRATIONS AND LOADINGS IN INDUSTRIAL
                LAUNDRY WASTEWATERS
Pollutant
Antimony
Arsenic
Beryllium
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Selenium
Silver
Zinc
Cyanide
Phenol (total)
Benzene
Carbon tetrachioride
l,i»l-Trichloroethane
2-Chloronaphthalene
p»Chloro~m-cresol
Chloroform
Dichlorobenzenes
2s*~Dimethylphenol
Ethylbenzene
Methylene chloride
Dichlorobromomethane
Trichlorofiuoromethane
Isophorone
Naphthalene
N-Nitrosodiphenylamine
Phenol
Bis(2-ethyihexyl) phthalate
Butyl benzyl phthalate
Di-n-butyl phthalate
Di-n-octyl phthalate
Diethyl phthalate
Anthracene/phenanthrene
Perchioroetnyiene
Toluene
Trichloroethylene
Numbera
20/22
14/2*
1/1*
32/36
32/35
36/36
35/36
22/2*
31/36
2/16
11/16
36/36
19/28
17/19
il/18
2/18
5/18
1/19
1/19
I*/ IS
1/19
2/19
3/18
7/18
2/18
1/18
1/19
10/19
1/19
6/19
16/19
3/19
8/19
*/19
1/19
*/19
13/18
17/18
8/18

Maximum
cone.
1.8
1.6
0.005
Oc52
8.8
11.0
22.0
0.019
2.*
0.12
0.13
9«0
1.0
1.5
23.*
1.7
6.6
0.017
<0.010
3*. 6
1.1
0.46
17.5
0.5*
0.02
0.003
0.19
*.8
1.8
0.8*
17.5
1,5
0.82
O.*l
<0.010
~0.*7
93.2
50.9
0.80
rns/1
Median
cone.
0.1*
0.017
<0.001
0.066
0.**
1.2
3.2
0.001
0.16
<0.00i
0.005
2.*
0.026
o.is
0.012




0.015







0.023


0.56





0.08*-
1.0


Mean
cone.
0.2*
0.077
<0.001
0.088
0.38
1.7
*.5
0.002
0.29
0.008
0.026
3.0
0.1*
0.32
2.5
0.095
0.37
0.0009
<0.0005
"3.3
0.058
0.025
1.1
0.0*6
0.002

0.010
0.79
0.095
0.089
3.1
0.096
0.10
0.035
<0.0005
"0.0*7
9.1
5.2
0.12
kg/day
avg/facility
0.062
0.02
<0. 00026
0.023
0.23
0.**
1.2
0.00052
0.075
0.0021
0.0068
0.78
0.036
0.083
0.65
0.025
0.096
0.00023
<0.00013
"0.86
0.015
0.0065
0.29
0.012
0.00052

0.0026
0.21
0.025
0.023
0.81
0.025
0.026
0.0091

-------
    TABLE 5-15.     TOXIC POLLUTANT CONCENTRATIONS IN LAUNDRY
                    WATER SUPPLIES
Pollutant
                              Number3
                                   Maximum
                                     cone.
                                                        mg/1
                      Median
                      cone.11
                                                                   Mean
                                                                  conc.b
Antimony
Arsenic
Cadmium
Chromium
Cooper
Lead
Mercury
Nickel
Selenium
Silver
Thallium
Phenol (total)
Benzene
Chlorobenzene
1,1,1-TrichIoroethane
2,*,6-Trichlorophenol
Chloroform
2-Chlorophenol
Dichlorobenzenes
1,1-Dichloroethylene
1,2-trans-Dichloroethylene
2,*-Dichlorophenol
Ethylbenzene
Methylene chloride
Dichlorobromomethane
Trichlorofluormethane
Chlorodibromomethane
Isophorone
Naphthalene
Phenol-
Bis(2-ethylhexyl)phthalate
Butyl benzyl phthalate
Di-n-butyl phthalate
Di-n-octyl phthalate
Diethyl phthalate
Dimethyl phthalate
Anthracene/phenanthrene
Tetrachloroethylene
Toluene
Trichloroethylene
 7/29
 */29
 9/31
13/31
23/31
12/31
10/31
 6/31
 2/28
 3/31
 2/2S
22/31
13/29
 */33
 1/33
 5/33
 t/36
22/33
 1/36
 2/36
 */33
 1/33
 2/36
 2/33
16/33
15/33
 2/33
 8/33
 1/36
 2/36
 5/36
25/36
 3/36
20/36
 3/36
 7/36
 3/36
  1/36
 15/33
 13/33
 */33
                                      0.027
                                      0.011
                                      0.020
                                      0.080
                                      0.30
                                      0.10 ••
                                      0.008
                                      0.060
                                      0.00*
                                      0.030
                                      0.006
                                      0.30
                                      0.032
                                      0.040
                                      0.002
                                      0.1*
                                     <0.010
                                      0.1*
                                     <0.010
                                     <0.010
                                     <0.010
                                      0.0*9
                                     <0.010
                                      0.005
                                     1*'7.0
                                      0.088
                                      0.13
                                      0.020
                                     <0.010
                                     <0.010
                                     <0.010
                                      1.2
                                     <0.010
                                      0.01*
                                     <0.010
                                     <0.010
                                     <0-.010
                                     <0.010
                                      0.*2
                                      0.1*
                                      <0.010
                                                      <0.010
                                                      <0.001
                                                      <0.002
                                                       0.010
                                                       0.030
                                                      <0.020
                                                      <0.000t
                                                      <0.005
                                                      <0.00l
                                                      <0.005
                                                      <0.005
                                                       0.09*
                                                      <0.002
                                                        0.012
                                                       <0.010

                                                       <0.010
 <0.010
 <0.001
 <0.002
  0.016
  0.0*8
 <0.020
 <0.000*
  0.006
 <0.001
 <0.005
 <0.005
  0.072
  0.006
 <0.002

 <0.005
 <0.0003
• <0.025
 <0.0003
 <0.0006
 <0.0006
 ~0.0003
 <0.60
 ~0.009
  0.005
 <0.002
 <0.0003
 <0.0006
 <0.001
 <0.050
 <0.0008
 <0.005

 <0.002
 <0.0008
 <0.0003
 <0.016
 <0.008
 <0.0007
 a

 b
Ratio indicates the number of samples on which the specific pollutant was
found as compared to the total number of samples analyzed.
Blanks  indicate values below analytical detection limits.  Appendix A lists
representative detection limits for each organic priority pollutant.
                                       62"

-------
phthalate were consistently present at concentrations greater than 0.1 mg/1 in the
wastewaters.

     Ethylbenzene,  1,1,1-trichloroethane,  methylene  chloride,  phenol di-n-butyl
phthalate, di-n-octyl phthalate, anthracene and trichlorpethylene were  also found in
20 to 50% of the plant effluents.

     Obviously,  organic toxic  pollutant  loadings  vary  considerably  from  one
industrial laundry to  another.   Perchloroethylene  concentrations,  for  example,
ranged from less than 0.001 mg/1 to 93.2 mg/1.  One factor affecting this variability
is  the amount of "perc" dry cleaning performed by different  industrial laundries.
For other pollutants  such  as benzene, methylene chloride,  naphthalene, trichloro-
ethylene and toluene3, concentrations in wastewater may also be at least partially
related  to the use of various process chemicals.  However, these and other organic
toxic pollutants found  in  industrial  laundry  wastewaters are  widely  used in the
chemical and manufacturing industries; hence, soil on the articles being laundered is
a potential major source of wastewater contamination and pollutant concentration
variability.

     The types of garments being  washed may also influence the concentrations of
bis(2-ethylhexyl) phthalate and related esters in  laundry wastewaters.  The phthal-
ates are used  in many  textile coating formulations and could  leach from these
fabrics  into  the  wastewater.   Vinyl mats,  which  are high-volume items in the
industrial laundry subcategory,  are particularly  likely  sources  of phthalate esters.
Bis (2-ethylhexyl) phthalate is the most widely used plasticizer in polyvinyl chloride
products.  The use  of chlorine bleach is a probable source of many of the low-
molecular-weight chlorocarbons  listed in Table  5-14.   However,  some  of these
compounds may already be present in the fresh  water entering the plant.   Chloro-
form, for example,  was found  in  22 of 33  laundry water supplies at a  median
concentration comparable to  that at which it was  found in industrial  laundry
effluents.

5.2.2.2  Linen Supplies

     Table 5-16 summarizes the toxic pollutant data collected for the linen supply
subcategory. Seven of the 13 toxic pollutant  metals  were detected in  50% or more
of the wastewater samples analyzed for these substances.  However, only zinc, lead,
and copper were found at average concentrations greater than 0.1 mg/1.  The median
concentrations of zinc,  lead and copper  were 0.7 mg/1,  0.24 mg/1 and 0.21 mg/1,
respectively — 3 to 13 times lower than the median  concentrations at which these
metals were found in industrial laundry wastewaters.  This attests to the differences
in type and quantity of soil present on typical "linen supply" and "industrial laundry"
work.

     Median cyanide and total phenol concentrations in the linen laundry effluents
were approximately  the  same  as  the  median concentrations at  which these


a    Toluene may  be  present  in  petroleum-based  cleaning solvents used in the
     laundry facility.
                                    63

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TABLE 5-16.    TOXIC POLLUTANT CONCENTRATIONS AND LOADINGS
             IN LINEN LAUNDRY WASTEWATERS


Pollutant
Antimony
Arsenic
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Selenium
Silver
Thallium
Zinc
Cyanide
Phenol (total)
1,1,1-Trichloroethane
Chloroform
2,4-Dlchlorophenol
Ethylbenzene
Methylene chloride
Naphthalene
Phenol
Bh(2-«thylhexyD phthalate
Butyl benzyl phthalate
Di-n-butyl phthalate
Dl-n-octyl phthalate
DIethyl phthalate
Dimethyl phthalate
Anthracene/phenanthrene
Perchloroetnylene
Toluene


Numbec^
5/7
4/7
5/36
24/36
15/15
27/36
12/36
19/36
1/7
4/7
1/7
36/37
5/7
7/7
1/5
4/5
2/5
1/5
2/5
1/5
4/5
4/5
2/5
3/5
1/5
1/5
1/5
3/5
2/5
4/5

Maximum
cone.
0.037
0.026
0.12
0.98
3.3
3.0
0.051
0.50
0.003
0.047
0.006
2.3
0.077
0.26
<0.010
"0.18
<0.010
"0.011
0.092
1.2
0.030
9.0
<0.010
"0.026
<0.005 •
<0.005
<0.005
"0.016
<0.010
"0.099
a Ratio indicates the number of samples in which the
total numbec of samples analyzed.
b Blanks indicate values below analytical
limits for each organic
mg/1
Median
conc.Q
0.007
0.006
<0.002
0.046
0.21
0.24
<0.0002
0.028
<0.002
0.002
<0.005
0.70
0.035
0.12

0.020

<0.010
"0.16
<0.010
<0.010
0.025

Mean
cone.0
0.010
0.007
0.009
0.10
0.52
0.46
0.003
0.061
<0.002
0.00? ,
<0.005
0.90
0.033
0.12
<0.002
"0.063
<0.003
"0.002
0.025
0.24
<0.015
"1.9
<0.003
<0.009
<0.001
<0.001
<0.001
<0.007
<0.003
<0.043
specific pollutant was found
kg/day
avg/facility

0.0041
0.0029
0.0037
0.041
0.21
0.19
0.0012
0.025
<0. 00082
0.0033
0.002
0.37
0.014
0.049
<0. 00082
0.026
<0.0012
"0.00082
0.01
OAQO
.098
<0.0062
"0.78
<0.0012
<0.0037
<0. 00041
<0. 00041
<0. 00041
<0.0029
70.0012
• <0.018
as compared to the
detection Emits. Appendix A lists representative detection
priority pollutant.
                                64

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pollutants were found in industrial laundry effluents.  However, the maximum and
mean concentrations of both pollutants were considerably lower in the linen laundry
wastewaters.   No more than  trace levels of cyanide were detected in any of the
samples.

     Sixteen organic toxic pollutants were detected in at least one of five  linen
laundry effluents analyzed for these compounds.  With few exceptions, these  were
the same compounds  found in the industrial laundry  wastewaters.   Much lower
concentrations were observed in  the  linen  supply effluents, however; only bis(2-
ethylhexyl)  phthalate,  naphthalene and  chloroform were  found  in  any  of the
effluents at concentrations greater than 0.1 mg/L

5.2.2.3  Power Laundries, Family and Commercial

     Table  5-17 summarizes the toxic  pollutant data collected for establishments in
the power laundry subcategory. Only  five of the toxic pollutant metals (antimony,
zinc, lead, copper and  chromium) were  present in any  of the effluent samples at
concentrations  greater than  0.1  mg/1.   Except  for zinc and  copper,  median
concentrations of these metals were all much less than 0.1  mg/1, in the range of
detection limits. In general, the concentrations of these pollutants were lower than
the concentrations shown in Table  5-16 for linen supply wastewaters.

     Phenols (total) were detected in  each of five power laundry effluents analyzed
at concentrations up to 0.97  mg/1; however, the  median phenol concentration was
only 0.073  mg/1.   Cyanide was detected in only one of five effluent samples at
extemely low concentration.

     Twenty-five organic  toxic pollutants were present in one or more of the four
wastewaters analyzed for these compounds, but only bis(2-ethylhexyl) phthalate and
perchloroethylene were jiound in any of  the samples at concentrations greater than
0.1 mg/1.

5.2.2.4 Diaper Services

      Table  5-18  summarizes  the toxic, pollutant data  collected for the diaper
service subcategory. Seven of the toxic pollutant metals were detected in at least
one sample, but only zinc was present at more than 0.1 mg/1 in any of the samples.
Zinc concentrations ranged from  1.5 mg/1  to  10.0  in  five diaper laundry waste-
waters, possibly due to the use of zinc silicofluoride sours.

      No other toxic pollutants were found at significant levels, which  is under-
standable in light of the types of soil present on diapers.

5.2.2.5 Coin-Operated Laundries

      Table  5-19 summarizes  the  toxic  pollutant data  obtained  for three  coin-
operated laundry wastewaters. Eight toxic pollutant metals, phenol (total) and 12
organic toxic pollutants were detected in  at least one of these effluent samples, but
only zinc, total phenol and bis(2-ethylhexyl) phthalate were present at concentra-
tions greater  than 0.1 mg/1  in any of the samples.  This attests to the  innocuous
types  and  quantities  of  soil  present  on family-type wash, which  accounts  for
virtually 100% of the coin-op  business.

                                    65

-------
TABLE 5-17.    TOXIC POLLUTANT CONCENTRATIONS AND
             LOADINGS IN POWER LAUNDRY WASTEWATERS



Maximum
Pollutant
Antimony
Arsenic
Cadmium
Chromium
Copper
^. _£.£.-__
Lead
Mercury
Nickel
Silver
Zinc
Cyanide
Phenol (total)
1,1,1-Trichloroethane
Chloroform
2-Chlorophenol
Dichlorobenzenes
2,4-Dichlorophenol
2,4-Dimethylphenol
Fluoranthene
Methylene chloride
Naphthalene
Pentachlorophenol
Phenol
Bis<2-ethylhexyl) phthalate
Butyl benzyl phthalate
Di-n-butyl phthalate
Di-n-octyl phthalate
Diethyl phthalate
Anthracene/phenanthrene
Pyrene
Perchloroethylene
Toluene
Trichloroethylene
Chlordane
4,4'-DDT
4,4'-DDE
Heptachlor
Number*
5/6
2/6
3/5
6/7
7/7
6/7
5/3
4/7
2/7
6/6
1/5
5/5
I/*
3/4
2/4
I/*
I/*
2/4
I/*
I/*
2/4 '
2/4
3/4
4/4
4/4
4/4
3/4
1/4
2/4
1/4
3/4
1/4
2/4
• 1/4
1/4
1/4
1/4
a Ratio indicates the number of samples in
cone.
0.57
0.020
0.046
0.36
0.37
0.43
0.003
0.050
0.008
0.54
0.028
0.97
0.002
0.041
0.001
<0.005
"0.001
0.055
0.0003
0.072
<0.010
"0.009
0.002
0.30
0.078
0.022
0.075
<0.005
<0.010
"0.0003
0.31
0.003
0.012
<0.003
<0.003
<0.003
<0.003
which the
mg/1
Median
concJ3
0.016
<0.015
0.003
0.025
0.11
0.060
0.0006
0.019
<0.007
0.43
<0.028
0.073

0.027


0.001
0.10
0..016
0.018
0.046 '
0.015






Mean
conc.b
0.16
<0.015
0.011
0.076
0.16
O.li
0.0007
0.014
<0.007
0.43
<0.028
0.31

0.024
0.0007
<0.001
~0.0002
0.014
0.00008
0.018
<0.003
"0.003
0.001
0.15
0.028
0.015
0.042
<0.001
<0.003
"0.00008
0.085
0.0008
0.004




specific pollutant was found
ka/day
avg/facility

0.037
<0.0034
0.0025
0.017
0.037
0.025
0.00016
0.0032
<0.0016
0.099
<0.0064
0.071

0.0055
0.00016
• -cO. 00023
"0.000046
0.0032
0.000018
0.0041
<0. 00069
"0.00069
0.00023
0.034
0.0064
0.0034
0.0097
<0. 00023
<0. 00069
"0.000018
0.02
0.00018
0.00092




as compared to the
total number of samples analyzed.
b Blanks indicate values below analytical detection limits. Appendix A lists representative detection
limits for each organic
priority pollutant.




                              66

-------





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-------
3.2.2.6 Carpet and Upholstery Cleaners

     Toxic  pollutant data for one carpet-cleaning plant are shown in Table 5-20.
Zinc, copper, lead and tetrachloroethylene were the  only  pollutants found  at  a
concentration greater than 0.1 mg/1.

5.2.2.7 Dry-Cleaning Plants

     Table  5-21 presents toxic pollutant  data for  two commercial dry-cleaning
plant wastewaters.' Both of the plants use perchloroethylene solvent.

     As  expected, both wastewater  effluents contained perchloroethylene.  How-
ever, the concentration of "perc" differed by more than an order of magnitude, from
0.2 mg/1  to 58.6 mg/1, in the two effluents.  Seventeen other organic toxic pollutants
were detected in one  of  the  wastewater  samples,  but none  was found  in  both
effluents.

     Chlorinated ethanes, ethylenes and  chloroform  were the only toxic pollutants
other than "perc" that were found at concentrations greater than 0.05 mg/L

5.2.2.8 Car Washes

     Three  tables present and summarize toxic pollutant data from  the three types
of  car  wash facilities.   Table  5-22  summarizes  wand facilities,  Table  5-23
summarizes rollover facilities and  Table 5-24 summarizes tunnel facilities. These
tables  present the  maximum,  median  and  mean  concentrations  of each toxic
pollutant found in the  raw waste samples and the number of wastewater samples in
which these pollutants  were detected as well  as the daily load of each pollutant in
kg/day.'

     Lead and zinc were present  in all samples from each  of the three types of
facilities.   These  toxic pollutant metals exhibited the  highest  concentrations
although  the average ranged only from .5 mg/1 to 1.0 mg/1 for lead and 0.4 mg/1 to
1.5 mg/1  for zinc.  The only other metals of significance were copper and nickel
which were found in almost every sample. Their mean concentrations averaged less
than 0.2 mg/1.

     Several  toxic  pollutant organics were  found in  the wastewaters from  car
washes.  No pollutant  was present in  concentrations greater than 1.0  mg/1,  and
virtually  all  had mean concentrations below  .05 mg/1.   As with the conventional
pollutants, the wand type  facilities had the highest number and concentrations of
pollutants.
5.3 DISCHARGE TYPES
     Because auto and other laundry facilities are almost exclusively confined to
urban and suburban areas where their customers are located, more than 99 percent
of all facilities  discharge to publicly owned treatment works (POTW).  Table 5-25
lists ,the  approximate  number  and percentage  of  direct  dischargers  in  each
                                      69

-------
subcategory in comparison to the  total number of establishments.  The reported
number of direct dischargers is based on NPDES permit applications under the SIC
code for each subcategory.  The actual number may differ slightly. For example, a
follow-up telephone survey of industrial and linen supply direct dischargers revealed
that out  of  seven permit  applications on  file only one  site  remains a direct
discharger.
                                  70

-------
     TABLE 5-20.  TOXIC POLLUTANT CONCENTRATIONS IN
                  WASTEWATER FROM ONE CARPET CLEANING
                  PLANT
  Pollutant
Concentration
    mg/1
Antimony
Arsenic
Chromium
Copper
Lead
Mercury
Zinc
Chloroform
Bis(2-3ethylhexyl) phthalate
Di-n-butyl phthalate
Tetrachloroethylene
    0.004
    0.008
    0.050
    0.20
    0.10
    0.001
    0.60
   <0.010
    0.0.2*
   <0.013
    0.23
                                     71

-------
TABLE 5-21.  TOXIC POLLUTANT CONCENTRATIONS IN
             DRY CLEANING PLANT WASTEWATERS
 Pollutant
 Concentration, mg/l!L

Plant 1             Plant 2
Copper
Lead
Phenol (total)
Benzene
Chlorobenzene
1,2-Dichloroethane
1,1,1 -Tr ichloroethane
1 , 1 ,2-Trichloroethane
Chloroform
1 , 1 -Dichlor oethy lene
1 ,2-trans-Dichloroethylene
Methylene chloride
Dichlorobromomethane
Chlorodibrpmomethane
Naphthalene
Phenol
Bis(2-ethylhexyl) phthalate
Di-n-butyl phthalate
Diethyl phthalate
Perchloroethylene
Trichloroethylene
0.050
0.040
<0.005







••
0.030


<0.010
<0.010
<0.010
<0.010
<0.010
0.20


"
0.001
0.025
0.012
0.50
2.5
3.0
2.3
0.023
0.46

0.003
0.004





58.6
0.44
Blanks indicate values  below analytical  detection limits.  Appendix A lists
representative detection limits for each organic priority pollutant.
                                 72

-------
TABLE 5-22   TOXIC POLLUTANT CONCENTRATIONS AND LOADINGS IN WAND TYPE CAR
             WASH RAW WASTEWATERS
Pollutant
Antimony
Arsenic
Beryllium
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Selenium
Silver
Thallium
Zinc
Chloroform
Fluoranthene
Methytene chloride
Dichlorobromomethane
Trichlorofluoromethane
Chlorodibromomethane
Naphthalene
*-nitrophenoi
2,*-dinitrophenol '•'•'•
Bis(2-«thylhexyl) phthaiati
Butyl benzyl phthalate
Di-n-butyl phthalate
Di-n-octyl phthalate
Benzo(a) anthracene
Benzofe) pyrene
Benzo(k) fluoranthene
Anthacene
Phenanthrens
Pyrene
Trichioroethyiene
Number3
2/2
3/6
1/6
6/6
6/6
*/*
6/6
*/6
6/6
0/6
0/6
0/6
6/6
1/2
1/2
2/2
1/2
1/2
1/2
1/2
1/2
1/2
» 2/2
2/2
1/2
1/2
1/2
1/2
1/2
1/2
1/2
1/2
1/2

Maximum
cone.
0.017
1.6
0.016
0.092
0.27
0.86
*.2
0=026
0.39



2.*
0.083
0.01*
0.6*
0.033
0.12
0.012
0.17
0.01*
0.019
1.0
0.031
0.015
0.016
0.012
0.012
0.012
0.017
0.017
0.011
0.013
mg/1
Median
cone.13
0.01*
0.001*
<0.001
0.029
0.05*
o.*s
1.6
0.00055
0.12



1.5





















Mean
0.01*
0.26
0.0027
0.0*3
0.099
0.5*
2.0
0.00*8
0,15
0
0
»
1.5
0.0*2
0.007
0.33
0.016
0.06
0.006
0.085
0.007
0.0095
0.5*
0.022
0.0075
0.008
0.006
6.006
0.006
0.0085
0.0085
0.0055
0.0065
kg/day '
avg/faeility
0.00028
0.0052
0.00005*
0.00086
0.002
0.011
0.0*
0.000096
0.003



0.03
0.0008*
0.0001*
0.0066
0.00032
0.0012
0.00012
0.0017
0.0001*
0.00019
0.011
0.000**
0.00015
0.00016
0.00012
0.00012
Q.00012
0.00017
0.00017
O.OOOU
0.00013
Ratio indicates the number of samples in which the specific pollutant was found as compared to the
total number ef samples analyzed.

Blanks indicate values below analytical detection limits,,  Appenduc A lists representative detection
limits for each organic priority pollutant.
                                     73

-------


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-------
  TABLE 5-24.  TOXIC POLLUTANT CONCENTRATIONS AND LOADINGS IN TUNNEL
               TYPE CAR WASH RAW WASTEWATERS

Pol lutant
Antimony
Arsenic
Beryl 1 f urn
Cadmium
Ch rom 1 urn
Copper
Lead
Mercury
Nickel
Seleni urn
Silver
Thai 1 i urn
Zinc
Number3
1/1
4/17
0/17
17/17
17/17
8/8
17/17
6/17
17/17
0/1
0/1
0/1
17/17

Maximum
Cone b
0.0045
0.016
__
0.066
1.7
0.3
2.2
0.0005
0.69
--
__

1.5
mg/1
Median,
Cone b
__
<0.01
--
0.014
0.026
0.10
0.55
<0.0001
0.13
—
—
__
0.55

Mean,
Cone
=_
0.0018
- =
0.022
0.14
0.15
0.78
0.00011
0.19
--
—
_.
0.70
kg/day
Avg/
Facility
=_
0.00014
--
0.0017
0.011
0.011
0.059
0.0000083
0.014
•
__
-.
0.053
Bis(2»ethylhexyl)
 phthalate       1/1
Methylene
 chloride
4-ni trophenol
1/1
1/1
0.027


0.011

0.011
a  Ratio indicates the number of samples in which the specific pollutant was
   found as compared to the total number of samples analyzed.

b  Blanks indicate values below analytical  detection limits.  Appendix A
   representative detection limits for each organic toxic pollutant.
                                   75

-------
   TABLE 5-25   NUMBER OF DIRECT DISCHARGERS IN THE LAUNDRY INDUSTRY
Subcategory
Industrial
Laundries
Linen supply
Power laundries
Diaper services
Total
Number
1,000
1,300
3,100
300
Direct
Number
0
1
16
0
Dischargers
Percent
0
0.1
0.5
0
Carpet and upholstery
 cleaners           2,700
Coin-operated
 laundries

Dry cleaning
 plants

Car washes
32,000


28,400

22,000
140


  6

100
0.1


0.4


0.1

0.5
                                  76

-------
                                  SECTION 6
    SELECTION OF SUBCATEGORIES AND POLLUTANTS FOR REGULATION
      This section identifies those subcategories and pollutants to be regulated and
those to be excluded from regulation in the Auto and Other Laundries point source
category.   The  reasons for  exclusion or  regulation  are presented  for  each
subcategory and are based on wastewater volumes and characteristics  presented in
Section 5.
6.1  SELECTED SUBCATEGORIES AND POLLUTANTS

     Based on analytical  data presented in Section 5 and  on information from
industry contacts,  both industrial  laundries and linen supply laundries  are being
recommended for discharge regulations.

6.1.1  Industrial Laundries

     Industrial laundries clean garments and other materials from  a variety of
industrial  activities.    Consequently,  toxic pollutant  loads  generated  in   this
subcategory are the highest in the industry.  The concentrations of toxic metals in
the raw waste at industrial laundries range from  <0«00026 mg/1 for beryllium to 4.5
mg/1 for lead.   Those  in  the  highest concentrations are lead, zinc,  copper,  and
chromium whose average concentrations are  4.5 mg/1, 3.0 mg/1, 1.7 mg/1, 0.88 mg/1,
respectively.  When toxic  organics are found, they  are generally present only in
minor concentrations.  However, tetrachloroethyiene and toluene have been found at
certain   locations  in  very  high concentrations  (maximum  tetrachloroethyiene
concentration found was 93»2 mg/i while that for toluene was 50.9 mg/1). These high
values have tended to skew the average concentration of these toxic organics to the
high side.  The average concentrations of tetrachloroethyiene and toluene  are 9.1
and 5.2  mg/1, respectively.

     Copper, chromium,  lead,  and   zinc  were  selected  for regulation   in  this
subcategory.  As  stated above, these toxic  metals were found  in  the   highest
concentrations, and  are  the primary contributors to  the total  toxic metal loadings
from industrial laundries (average 2.65 kg/day per facility for the combination of
the four metals versus an average 0.31 kg/day per facility for all other toxic metals
combined).
                                      77

-------
6.1.2 Linen Supply

      Total  toxic  metals in  the  raw waste  at  linen suppiy laundries  average 0.85
kg/day per facility.  This load is  significantly below  that  generated at industrial
laundry sites and is nearer that generated at diaper service facilities. However, as
discussed in Section 3.1.2, many linen supply laundries are expanding their services
to include work traditionally done by industrial laundries.  As this occurs, the degree
to which industrial laundering  is  conducted  at  a linen supply facility  will  be
reflected in the wastewater generated.  Because of this  trend, the Agency  has
decided to regulate linen supply laundries in addition to industrial laundries.

      As in industrial laundries, the same toxic  metal pollutants (copper, chromium,
lead, and zinc) are the primary  contributors  to the average  total toxic  metal
loading.  Toxic metals average 0.85 kg/day per facility with copper, chromium, lead,
and zinc contributing some 0.81  kg/day per  facility of the total. For this reason,
these pollutants are recommended for regulation.

6.2 EXCLUDED SUBCATEGOREES AND POLLUTANTS

6.2.1 Excluded Subcategories

6.2.1.1 Power Laundries, Family and Commercial

      Summary of Determinations  - It has  been determined that no further effort
will  be given to developing regulations for this  subcategory.   The bases for this
determination  are Paragraph  8(a)(iv)  of the Consent Decree,  which states "the
amount and toxicity of each pollutant  in the discharge does not justify developing
national  regulations"  and Paragraph  8(b)(ii) which states "the toxicity and  the
amount of incompatible pollutants (taken together) introduced by such  point sources
into  treatment  works  that are publicly owned is  so insignificant as not to justify
developing a pretreatment regulation."

      Production  Process  and  Effluents -  Power laundries  are  establishments
primarily engaged  in operating mechanical  laundries  with steam or  other  power.
The  average wastewater discharge for this subcategory is 230  m^/day per facility.
The average total toxic  metals is less  than 0.23 kg/day per facility, which consists
primarily of zinc, 0.099 kg/day per facility, copper, 0.037 kg/day per facility,  and
antimony, 0.037 kg/day  per facility.  Of the toxic organics,  phenol  is the  major
constituent with the average facility discharging 0.071 kg/day.

      Plants - There are some 3,100 power laundry facilities in the country.

      Status of Regulations - There are no existing regulations for this subcategory.

6.2.1.2 Diaper Services

      Summary of Determinations  - It has  been determined that no further effort
will  be given to developing regulations for this  subcategory.   The bases for this
determination  are Paragraph  8(a)(iv)  of the Consent Decree,  which states "the
amount and toxicity of each pollutant  in the discharge does not justify developing
national  regulations"  and Paragraph  8(b)(ii) which states "the toxicity and  the
amount of incompatible pollutants (taken together) introduced by such  point sources

                                       78

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into treatment works that are publicly owned is  so insignificant as not to justify
developing a pretreatment regulation."

     Production  Process  and  Effluents  -  Diaper  services  are  establishments
primarily engaged in supplying diapers  (including disposables) and other  baby linens
to  homes.  The average  wastewater  discharge rate  for this  subcategory is  160
m^/day per facility.  The average total  toxic metals  for this subcategory  is 0.95
kg/day per facility,  which  consists primarily of zinc, 0.91  kg/day per facility. Toxic
organics were found in only very small quantities.

     Plants - There are some 300 diaper service  establishments in the country.

     Status of Regulations - There are  no existing regulations for this subcategory.

6,2A3 Coin-operated Laundries and Dry-Cleaning

     Summary of Determinations - It has been determined that no further effort
will be given to developing regulations for this subcategory,,  The bases for this
determination are  Paragraph  8(a)(iv)  of  the Consent Decree,  which  states "the
amount and toxicity of each pollutant  in the discharge does not justify developing
national regulations" and Paragraph  8(b)(ii) which states  "the toxicity and  the
amount of incompatible pollutants (taken together) introduced by such point sources
into treatment works that are publicly owned is  so insignificant as not to justify
developing a pretreatment regulation."

     Production  Process  and Effluents - The coin-op  category is made  up  of
establishments primarily engaged in providing  coin-operated laundry and/or dry-
cleaning  equipment on  their own  premises.    Wastewater flows  from  coin-op
establishments average  14 m^/day.  Total average toxic metal  discharge  is 0.01
kg/day per facility,  most of which is zinc, 0.0043 kg/day per facility. Toxic organics
are present only in very small quantities.

     Plants - There are approximately  32,000 coin-op facilities in the country.

     Status of Regulations - There are  no existing regulations for this subcategory.

6.2.1.4 Dry-Cleaning Plants, Except Rug Cleaning

     Summary of Determinations - It has been determined that no further effort
will be given to developing regulations for this subcategory.  The bases for this
determination are  Paragraph  8(a)(iv)  of  the Consent Decree,  which  states "the
amount and toxicity of each pollutant  in the discharge does not justify developing
national regulations" and Paragraph  8(b)(ii) which states  "the toxicity and  the
amount of incompatible pollutants (taken together) introduced by such point sources
into treatment works that are publicly owned is  so insignificant as not to justify
developing a pretreatment regulation."

     Production  Process and Effluents -  The dry-cleaning subcategory consists of
establishments engaged  in dry cleaning  or dyeing apparel  and household  fabrics,
other than rugs, for the general public. Wastewater discharge from the dry-cleaning
industry is very  small.  Average total toxic metals is less than  0.01  kg/day  per
facility and total toxic organics is less than 0.59 kg/day per facility.

                                       79

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      Plants - There are some 28,400 dry-cleaning plants in the country.

      Status oi Regulations - There are no existing regulations for this subcategory.

6.2.1.5 Carpet and Upholstery Cleaning

      Summary of Determinations  - It has been determined that no  further effort
will  be given to developing regulations for this subcategory.   The bases for this
determination  are  Paragraph  8(a)(iv) of  the  Consent  Decree, which  states  "the
amount and toxicity of each pollutant in the discharge does  not justify developing
national regulations"  and Paragraph  8(b)(ii)  which states "the toxicity and  the
amount of incompatible pollutants (taken together) introduced by such point sources
into  treatment  works that  are publicly owned is so insignificant as not to justify
developing a pretreatment regulation."

      Production Process  and  Effluents  - Carpet and upholstery cleaners  are
establishments primarily engaged in cleaning carpets and upholstered  furniture at a
plant or on a customer's premises.   Wastewater flows  from  this  subcategory  are
extremely small. Average total toxic metals is less than 0.073 kg/day per facility,
with the primary constituents being zinc and copper.

      Plants - There are some 2,700 carpet cleaning  establishments in the country.

      Status of Regulations - There are no existing regulations for this subcategory.

6.2.1.6 Laundry and Garment Services, Not Elsewhere Classified

      Summary of Determinations  - It has been determined that no  further effort
will  be given to developing regulations for this subcategory.   The bases for this
determination  are  Paragraph  8(a)(iv) of  the  Consent  Decree, which  states  "the
amount and toxicity of each pollutant in the discharge does  not justify developing
national regulations"  and Paragraph  8(b)(ii)  which states "the toxicity and  the
amount of incompatible pollutants (taken together) introduced by such point sources
into  treatment  works that  are publicly owned is so insignificant as not to justify
developing a pretreatment regulation."

      Production Process  and  Effluents   -  This   subcategory consists of  those
establishments primarily engaged  in  furnishing other  laundry  services, including
repairing,  altering, and  storing  clothing  for individuals, and  the operation  of
Chinese, French, and other hand laundries.  Wastewater flows for this subcategory
are small due to the limited amount of laundering done within this subcategory.

      Plants - There are some 2,700 establishments included in this subcategory.

      Status of Regulations - There are no existing regulations for this subcategory.

6.2.1.7 Car Wash Establishments

      Summary of Determinations  - It has been determined that no  further effort
will  be given to developing regulations for this subcategory.   The bases for this
determination  are  Paragraph  8(a)(iv) of  the  Consent  Decree, which  states  "the
amount and toxicity of each pollutant in the discharge does  not justify developing

                                       80

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national  regulations"  and Paragraph 8(b)(ii)  which  states  "the  toxicity  and the
amount of incompatible pollutants (taken together) introduced by such point sources
into treatment works that are publicly owned is so  insignificant as not to justify
developing a pretreatment regulation."

      Production  Process and Effluents - The car wash subcategory is comprised of
facilities designed for the automatic or self-service  washing of vehicles including
cars, vans, and  pick-up trucks.   There  are three  types  of  car washes, tunnel,
rollover, and  wand which were  described  in  Section 3.2.5.  Average wastewater
flows for tunnels, rollovers, and wands are 75.7, 11.4,  and 19.9 m^/day, respectively.
Average toxic metals is less  than 0.17 kg/day per facility for tunnels, less than 0.12
kg/day per facility for wands, and less than 0.15 kg/day per facility for rollovers. In
all cases, zinc and lead were the major constituents of the total toxic metals.  Toxic
organics were found in very small quantities.

      Plants - There are some 22,000 car wash establishments of which an estimated
15,000 are  tunnel, 3,500 are wand, and 3,500 are rollover.

      Status of Regulations - There are no existing regulations for this subcategory.

6.2.2 Specific Pollutants Excluded from the Industrial Laundry and Linen Supply
Subcategories

6«,2e2=i Toxic Metals

      Toxic metals  other than those selected  for  regulation  are excluded  from
regulation  under  Paragraph 8(a)(iii) of the Consent Decree because they are present
only in trace  amounts (average total toxic metals are 0.31 kg/day per facility for
industrial laundries excluding those being regulated) and are neither causing or are
likely to cause toxic effects or because  they are present in  amounts too small to be
effectively reduced.   Appendix A  provides the specific basis for the exclusion of
each of the toxic metal pollutants.

6.2.2.2 Toxic Organics

      A variety  of  toxic organics  were  observed  in  raw  waste  samples  from
industrial laundry wastewaters and several organics  were  observed at significant
concentrations.   However,  an  evaluation  of  the  occurrence, solubility  and
treatabiiity of the  various  toxic  organics has  revealed  the  following problems
associated with regulating these pollutants:

      o    The organics  occur erratically from one laundry to another and within
           the same laundry (see Appendix C).

      o    The  solubilities of the  organics  in  oil range  from slight to  infinite.
           Therefore, the degree to which oils are removed by DAF treatment will
           be reflected in the removal of some but not all organics.

      o    Sampling  data  has shown  that  DAF  treatment  reduces total  toxic
           organics by 77 percent (see Section 7).

      o    The addition of applicable technologies, following DAF, for the specific
                                       81

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           control of toxic  organics  not  reduced by DAF was found  to  be either
           technically unfeasible because  of the characteristics of DAF effluent or
           economically prohibitive for this industry.

     Based on the,above considerations and under the authority of Paragraph 8 of
the Settlement Agreement,*, the Agency is excluding toxic  organics from regulation.
Specifically, Paragraph 8(a)(iii) allows exclusion of toxic pollutants present only in
trace amounts, in amounts too small  to be effectively reduced, or "pollutants that
will effectively be controlled by technologies  upon which  are  based other effluent
limitations and guidelines, standards of performance, or pretreatment standards."

     Appendix A provides the specific basis for the exclusion of  each of  the toxic
organic pollutants.
                                       82

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                                  SECTION 7
                 CONTROL AND TREATMENT TECHNOLOGY
     Technology applicable to the control and treatment of laundry wastewaters is
described in this section.  Description and evaluation of  all technology are based on
treatment system applicability in removing various pollutants prior to discharge to
POTW's or before direct discharge  to navigable waterways.  Those pollutants found
most consistently and/or at the highest concentration, as presented in Section 5, are
used as a basis for evaluation of current and potentially  applicable technology.  The
following subjects are discussed in this sections

     o    Pretreatment technology
     o    Treatment for direct discharge
     o    Recycle/reuse technology
     o    Sludge handling and disposal

     Pretreatment of laundry wastewater for discharge  to a POTW is classifed into
three types:   (1) conventional,  in-piant controls, (2)  physical-chemical  treatment
systems  presently  applied, and (3)  potentially applicable  treatment technology.
Conventional controls are designed  to remove gross pollutants such as lint and sand
which  obstruct piping and sewer drains, disrupting laundry operations and increasing
plant maintenance costs.   In addition, heat reclaimers may  be used to  reduce the
temperature of  the effluent through preheating of incoming fresh water. Physical-
chemical treatment systems (PCS's) are designed to meet regulations established for
the control of pollutants  which may include oil and grease  and heavy metals, and
high pH as defined by sewer  ordinances for various municipal districts.   Some
physical-chemical systems  are  designed for  the expressed  purpose of  reclaiming
laundry wastewater for use in the wash process.

     Controls required for direct discharge of laundry wastewaters are specified, in
this section, as a combination of physical-chemical treatment and on-site biological
treatment.   Further removal  of  the  pollutants mentioned  above  is required in
addition to reducing levels of BOD  and TSS before direct discharge.  Assessment of
the  capabilities of  small-scale   biological  systems  for treatment   of  laundry
wastewater is based on limited data from coin-operated laundries.

     Recycling  or reusing laundry  wastewater  can  achieve  a  reduction  in the
volume of effluent per unit mass of  laundry washed. In cases where recycle or reuse
is practiced,  effluents from various systems treating laundry wastewater are mixed
with incoming fresh water and then  recycled through the wash process.  An example
of one reuse practice is utilization of untreated rinse water from one washload as
initial  washwater for a second washload.   The technical feasibility of recycling
laundry wastewater is discussed in Section 7.3.

                                       83

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     Sludges resulting from the treatment of laundry wastewater must be handled
and disposed of.  Dewatering equipment, for the purpose of reducing sludge volume,
is described in Section 7.4.  Ultimate disposal of laundry sludge is accomplished by
landfilling or incineration.

7.1  PRETREATMENT TECHNOLOGY

     Since  greater than  99%  of  all laundries  discharge to POTW's removal of
incompatible pollutants is of major concern when describing wastewater controls for
the laundry industry.   The extent  and  type of  control  practiced  by  individual
laundries has been dependent on local sewer ordinances, geographic location, POTW
limitations, and economic considerations.  In Table  7-1, the number of plants in each
laundry subcategory  having various  control technologies  is  estimated  from  the
technical survey.

7.1.1  Conventional Technology

     Generally, conventional technology is designed to remove gross pollutants such
as lint, sand, grit, and free oil.  Heat reclaimers are used to recover heat from the
wastewater prior  to  discharge   in order  to  preheat   incoming  fresh  water.
Conventional  equipment for the  control  of solids,  free  oil, and temperature  is
described in the following subsections.

7.1.1.1 Solids Removal

     Bar screens, lint screens, and catch basins (settling pits) are devices used to
remove sand,  grit, lint,  and other  noncolloidal solids from  laundry  wastewater.
Solids  removal  is  typically  accomplished  in  many  laundries  .to  prevent  the
obstruction of piping and drains, thus  ensuring constant hydraulic  capacity.

     Bar  screens are constructed of  flat  steel  bars welded together  in a  grid
pattern.  Rectangular spaces formed by the steel grid are  6.3 mm (0.25 in.) by 19
mm  (0.75  in.)  in area and are designed  to allow  the free flow of  effluent while
removing large objects composed of paper, wood, etc., from the wastewater stream.
In the laundry industry, bar screens are usually cleaned by hand.

     Lint screens are usually installed after bar screens  and will remove lint and
other particles  such  as  sand and  grit.  Lint screens  at laundries are generally of
cylindrical or  rectangular design, are constructed of wire mesh or  perforated metal
plate, and  have openings 9.5 mm (0.37 in.) to 3.2 mm (0.12 in.)  in width. They are
manually or mechanically  cleaned. Hand  cleaning  of  a lint screen is accomplished
by directing a stream of water  from a hose against  the screen in a direction opposite
to the wastewater flow.   Mechanical removal  of accumulated  debris  is mainly
accomplished by rotating or vibrating the lint screen to allow the trapped  lint to fall
off  and be  collected.  Automatic water jets may also be used to aid in the removal
of trapped  lint from screens. •

     Catch basins are also used in combination with lint screens  to remove sand and
grit from laundry wastewater.  Catch basins are typically built below ground and
have a hydraulic detention time of between 15 min and 40 min.  Basins rely on the
                                      84

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     TABLE 7-1. ESTIMATED PERCENT OF LAUNDRIES (BASED ON
                 TECHNICAL SURVEY DATA) HAVING CONTROL
       	    TECHNOLOGY
Control technology
Industrial
laundries
Linen supply
 laundries
Pretreatment technology
   (Number of responses)
   Bar screens
   Lint screens
   Catch basins
   Heat reclaimers
   Oil skimmers
   Equalization tanks
   pH adjustment
   Physical-chemical systemsc
   Otherd
    2.7
   70
   72
   70
   15
    1.2*
    8.1
    (59)
     5.1
    81
    78
    81
     0
     2elb
     5.1
     0.3b
     3.4
   Estimate based on 13 physical-chemical systems operating at the 1,013 industrial
   laundry indirect discharges.  Also, 12 of these systems have equalization tanks.
   Estimate based on 5 physical-chemical systems  with equalization operating at
   the 1,308 linen supply indirect discharges, plus the  1.796 of  linen supplies that
   have equalization tanks based on survey responses.
   Major unit operations consist of chemical  addition and floe removal by dissolved
   air flotation.
   Other includes filtration, separators, oil  hold  back  devices, and miscellaneous
   operations.
                                      85

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difference in the  specific gravities  of soiids  versus  water to  achieve particle
settling. The effectiveness of solids settling will depend upon the characteristics of
the particular laundry wastewater and  the  hydraulic detention time of the catch
basin.  The percent of total solids removed will  generally increase, to a maximum,
with increasing detention time.

     Holding tanks with detention times of 2 to  4 hours are considered adequate for
providing flow equalization of laundry effluent.  Detention times of this magnitude
will  usually provide the maximum  removal of suspended  solids  achievable without
resorting to additional technology such  as physical-chemical treatment.  Physical,
chemical, and biological reactions can also occur in an equalization tank, which may
cause reductions in pollutant concentrations (46).  Details on the functions of flow
equalization  are given as  part of the general description of dissolved air flotation
treatment.

7.1.1.2  Free Oil Removal

     Oils and greases in laundry wastewater are compounds that can be separated
from water by freon, hexane, and/or ether extraction.  Non-emulsified or free oil
may comprise  a portion  of the  total oil  and  grease  in a  particular laundry
wastewater.  Data collected from industrial  laundries indicate that 5% to  10% of
the total oil and grease loading may be free oil.

     Free oil removal technology relies on differences in specific gravities of oils
and grease versus water (24).  Treatment techniques involve retention of the oily
water in a holding tank allowing gravity separation of the  oily material from water
to occur. The floating oils are then skimmed from the water  surface.

7.1.1.3  Temperature Control

     Heat reclaimers are used in the laundry industry to  preheat incoming fresh
water  prior  to  its use  in the  wash  process.   Preheating  is  accomplished  with
reclaimers by  noncontact heat transfer from  laundry  wastewater.   As a result,
laundry effluent temperatures are  reduced from  60%C-70%C  (140%F-160%F) to
27%C-38%C (80%F-100%F).  Preheating of washwater with heat reclaimers reduces
the amount of fuel needed  to heat fresh water.

7.1.1.4  Capabilities of Conventional Technology

     Data are provided in Table 7-2 for  control equipment presently  in place at
three laundries.  The system, consisting of bar screen, lint screen, catch basin and
heat reclaimer,  was selected as typical because it is in place at 70 percent or more
of industrial and linen supply laundries as presented in Table 7-1 survey data.

     The  data  in Table  7-2  indicate that the  effectiveness  of conventional
treatment in  removing  pollutants, is  variable  and  the   results  are basically
inconclusive. Median removal rates ranged from  zero to 32 percent for conventional
and toxic pollutants.   For the purpose of evaluating other treatment technologies,
conventional treatment is assumed to be in place providing for the removal of gross
pollutants only.
                                      86

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7.1.2  Incompatible Pollutant Removal — Presently Applied Technology

      Laundries operating under regulations that limit the discharge of incompatible
pollutants are currently using dissolved air flotation systems (DAFS) for wastewater
treatment. This system is described in the following section.

7.1.2.1  General Treatment Strategy

      DAF treatment  of laundry wastewater  is comprised  of the following unit
operations:  flow equalization, chemical addition, floe removal, and sludge disposal.
Figure  7-1  is a  block diagram for laundry wastewater pretreatment  using DAF
technology.   Conventional controls,  such  as  lint screens and catch  basins  are
considered to be already installed  in laundries and will not  be discussed further.
Equalization tanks  were briefly described  under  conventional equipment, however
their  use in the laundry industry has  been mainly restricted  to providing constant
flow to DAF systems.

      Flow Equalization - Equalized flow is defined as the constant flow of laundry
wastewater through the  treatment system.  Flow is  constant  if it is maintained at
approximately the  same level  during the  entire period of operation of the DAF
system.  For  laundries this period of time is  usually 8 to 10 hours.   A secondary
objective of  equalization is to dampen  the  mass  flow variation of wastewater
contaminants  by  blending (25).   Reductions in the variation  of flow  and pollutant
concentrations will minimize  the  required capabilities  of a particular treatment
system.  Because laundry wastewater flows  and pollutant concentrations can vary by
orders  of  magnitude  during a  day's  operation, flow  equalization prior to DAF
treatment is a recommended technique.

      Equalization  tanks  currently  in use at  laundries  are  of  steel or  concrete
construction and are built  above or  below ground.   Hydraulic detention  time for
laundry wastewater equalization is usually 2 to 4- hours,  dependent  on washroom
operation, building space limitations, and design  criteria  of the  DAF  system.
Equalization tanks  at laundries require cleaning on a regular basis to remove settled
solids and grease deposits.  The approximate areas required for equalization tanks
are given in  Table 7-3  for 2-hr and 4-hr detention times of  various wastewater
flowrates.

      Chemical  Addition -  Pollutants, such  as  oil and  heavy metals  in laundry
wastewater,  are usually in the form  of  colloidal suspensions which  cannot  be
effectively treated solely by physical  techniques. Chemical addition is thus used to
aggregate the colloidal material into particles that can be physically removed by
flotation, sedimentation, or filtration.

      Emulsified  oil and grease is aggregated by chemical  addition through  the
processes of  coagulation and/or  acidification in  conjunction  with flocculation
mechanisms.  Coagulation involves the use of chemical additives that destabilize the
colloidal  material  either by reducing the electrostatic repulsive  forces between
colloids or by forming positively charged hydrous oxides which are absorbed on the
surface of the colloid (24, 27).   Other pollutants such  as lead, copper, and zinc,
which exist as colloids in laundry wastewater are also destabilized by coagulation.
Acidification of oil and grease colloids is accomplished by lowering the  pH to a point
where the emulsion is "broken", thus allowing dispersed oil  droplets  to aggregate

                                       88

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                               S
89 •

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        TABLE 7-3 AREA REQUIREMENTS FOR LAUNDRY
                  WASTEWATER EQUALIZATION .
Selected
flowrate,
m3/day
(gal/day)
570
(150,000)
380
(100,000)
280
(75,000)
190
•(50,000)
38
(10,000)
19
(5,000)
Tank
capacity,
m3
(gal)
Tank
area,k
m3
Cft2)
*a x»
detention time '
• Two-hour
210
(56,000)
130
(35,500)
110
(28,000)
71
(18,700)
15
(4,000) •
8
(2,000)
100
(1,100)
63
(680)
50
(530)
33
(360)
7
(75)
4
(40)
Tank
capacity,
m3
(sal)
detention
Tank
area,t>
m-5
Cft2)
timea'c
Four-hour
360 170
(94,000) (1,800)
240
(62,500)
180
(47,000)
120
(31,000)
23
(6,000)
11
(3,000)
110
(1,200)
•84
(900)
56
(600)
11
(115)
6
(60)
a In determining required tank capacity an additional  hour detention time
  was factored into the calculation.  Variations in wastewater flow over a
  normal  day's operation are assumed  to  be  minimal for this  example;
  therefore, tank sizes shown should be considered the minimum required
  for laundry wastewater flow equalization.

  Tank area has been determined assuming a tank water level of 7 ft.

c Based on 10-hour day.
                              90

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(24).  Coagulation  and acidification may both be used in a DAF system   to  treat
iaundry wastewater.

      Flocculation  - Floccuiation is defined  as partide transport and contact
occuring as a result of colloidal destabilization (coagulation).  Particle  transport
occurs  due to  thermal motion, bulk fluid motion  (accomplished by  mechanical
stirring), and  differential  settling (26).  In all cases floes properly formed  from
interparticle contact are then capable of  being removed by physical means.

      Destabilization of colloidal suspensions in laundry wastewater is accomplished
by adding coagulant chemicals at prescribed rates to the raw  wastewater. Coagu-
lants currently in use at laundries are listed below:

           Aluminum sulfuate (Alum,  Al2 (50^)3)
           Calcium chloride (CaCl2)
           Ferric sulf ate ^62(50^)3)
           Ferrous sulf ate (Fe(SO^))
           Cationic polyelectrolytes

      Floe  particles  that  form  as  a result of chemical coagulation contain the
colloidal material intended for removal.  Since proper  floe formation is dependent
on  various  particle  transport  mechanisms (flocculation), the physical design of
chemical   addition  equipment  must  provide  adequate  time  and  mixing for
interparticle contacts during coagulation.

      Design parameters considered important in achieving proper particle contact
include hydraulic detention time in the mix  tank and  the  physical methods used for
mixing.   Generally, the  required detention  time  for  flocculation  is  inversely
proportional to solids concentration (26).  Baffles are generally used in mix tanks to
provide  adequate  particle  contact  through  mixing.   Additional  mixing is  also
provided through  turbulence  that  occurs  during stream  pressurization due to
pumping and air injection.  The main purpose of stream pressurization is for floe
removal by dissolved air  flotation.   This  operation is discussed in  the  following
section.

      Dissolved  Air Flotation - In  the pretreatment of  laundry effluents, floe  is
brought to the surface of a thickener unit by means of dissolved air flotation (DAF).
DAF is accomplished by pressurizing all or part of the effluent  stream with air at 40
psig to 80  psig.  Since the  pressure exerted on the  wastewater is greater than
atmospheric, the saturation point of  air in water is raised, allowing excess  air to
become dissolved.   After the  additional air is  dissolved in the wastewater, the
pressure is  reduced back to atmospheric, forcing dissolved air out of solution in the
form of minute bubbles throughout  the  entire volume of the liquid (23).  These
bubbles become attached to floe particles causing them to rise to the surface of a
flotation tank (thickener), where the floe  solids  can be skimmed off by rotating
troughs or moving blades.

      The principal components  of  a DAF  unit are a pressurizing pump, retention
tank, pressure-reducing valve,  air injector,  and a  flotation  tank.   For laundry
wastewater,  two  modes   of pressurization   are  currently  in  use:   full  flow
pressurization (FFP) and recycle pressurization (RP).  In FFP the entire effluent
stream is pressurized.  In RP a stream of treated water is drawn from the flotation

                                        91

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tank, ranging in volume from  50% to  120% of  the  effluent stream; this recycle
stream is pressurized and mixed with the effluent as it enters the flotation tank.

      Factors that affect the design of a DAF unit include feed solids concentration,
hydraulic loading rate,  and particle rise  velocity  (28).   Ainsolids  ratios  are
frequently used to determine  the design  criteria for  DAF systems.  This ratio is
defined as the weight of  compressed air utilized during pressurization compared to
the weight of solids  entering the flotation tank (23).  Typical airtsolids ratios  for
DAF  units are in  the range of 0.005  to 0.1 (23,  27).  Higher air:solids ratios  can
cause floe shearing  due to increased  turbulence, resulting in an overall loss of
system efficiency.

      The operating  variables,  air:solids  ratio,  hydraulic  loading rate, and  solids
loading  rate have a direct effect on the performance of a DAF unit.  For effective
treatment it will  usually be necessary  to conduct tests  at the particular laundry
before  installation  of  a full-scale  DAF unit  since large variations  exist  in
contaminant loadings and hydraulic loadings between laundries.

      Pretreatment  technology using DAF is  being  practiced  at a  number   of
industrial and linen supply laundries.  The results of sampling of wastewaters at 14
of these operational systems are presented in Appendix C. Table 7-4  summarizes
the removal  efficiencies of selected industrial  laundry  DAF systems in terms of
percent removal and treated effluent quality for conventional and toxic pollutants.

      The data in Table 7-4 indicate  that DAF treatment is effective in reducing
toxic metals.   Average  lead  and zinc removals were  greater  than 90 percent.
Copper  removal averaged 75 percent  and  chromium removal averaged greater than
57 percent.   Detracting from the efficiency of  the DAF system, however, are  the
variations that exist between different plants and among the various pollutants.  For
example, chromium removal ranged from 41.8 percent at Plant D to 99.7 percent at
Plant L, and the concentration of chromium  at the same plants was 0.57 mg/1  and
0.005 mg/1,  respectively.   This variability in  the  effectiveness of  the  same
treatment technology is believed to be the result of varying system parameters such
as air flow, chemical  addition, and raw waste characteristics.

      The data  also  shows  that  the  DAF system  is  effective in removing  toxic
organic  pollutants from laundry wastewater.  The removal of total toxic organics
was significant with an average removal of 77 percent and a range of 53.9 percent
to 92.7  percent.  Although  DAF systems are  not  designed  to remove organics,  the
removal of  oil  and  grease accomplishes  an  incidental removal  of toxic organics
soluble  in the oil.   Quantifying  effluent quality in  terms of  toxic  organics is
difficult, however, because  of the variations in specific organics found from plant to
plant, the range of solubilities of those organics, and the variations in oil and grease
removal that can occur  with the DAF system.

7.1.3  Incompatible Pollutant Removal - Potentially Applicable Technology

      Technologies  not used on  a commercial  scale but applicable  to  laundry
wastewater treatment include gravity settling, multimedia filtration, ultrafiltration,
diatom aceous earth filtration, and electrocoagulation.  These technologies include
processes which may  replace  certain  unit  operations  (such  as  gravity  settling
                                      92

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                                                93

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replacing DAF) or which may replace the entire physical-chemical process (such as
ultrafiltration replacing a DAF system).

7.1.3.1  Gravity Settling

      Gravity settling or sedimentation may also be used to  remove floe particles
from  the laundry wastewater.  After  chemical addition,  wastewater flows into a
tank  (clarifier) having sufficient  detention time to allow floe particles to settle.
Moving scrapers  located at the bottom of the tank  collect the settled floe and
discharge it to a sludge collection tank.

      At present, pretreatment of laundry wastewater  incorporates DAF rather than
gravity settling for floe removal.  A  system  utilizing sedimentation  is  currently
treating the effluent from one institutional laundry (with a workload comparable to
that  of  a power laundry)  for  direct  discharge.   It  is  difficult to  compare the
effectiveness of  these  two techniques,  since  available  data involving laundry
applications are limited.  DAF units generally operate at surface loading rates four
to eight times higher than gravity settlers.  That is, the detention time required and
thus  the  capacity or  volume of the DAF unit would be  significantly less than a
gravity settler.  Since laundries often  have little space for treatment equipment, a
PCS with DAF is normally chosen due to the significant difference in required tank
volumes.

7.1.3.2 Filtration

      Further removal of floe  from laundry wastewater  may  be accomplished by
multimedia filtration.  In general, those  systems whose main purpose is  to recyle
part  of the laundry effluent utilize filtration, while systems discharging all treated
effluent to a POTW  do not incorporate filtration.   Variability in final  effluent
quality due to floe carryover or very fine floe particles may be reduced by the use
of a multimedia filter.

      Filters  are sealed cylindrical  tanks  containing layers  of  filter  media of
different specific  gravities and  particle sizes.  Media are  arranged  so that the
heaviest material of the  finest grade rests at the bottom of the tank. Wastewater is
pumped under pressure through the top  of the filter, coming in  contact  first with a
coarse medium  of  low  specific gravity.   As water flows  through the  filter  it
encounters media of increasingly finer grades and greater densities.  Total head loss
across the filter increases as particles become trapped in the media. When head loss
raches a  predetermined level, the influent flow  is shut  off and  the  filter  is
backwashed with air and water in the direction opposite to influent flow (27).

      As previously cited, however, a certain amount of variability in the efficiency
of a  DAF system exists,  and increases in  effluent oil and grease will readily clog or
block a filter. For this reason, filtration following  DAF is not considered feasible
for general application in this industry.

7.1.3.3 Ultrafiltration

      Ultrafiltration  is  a  process  in which wastewater  is  pumped  through a
semipermeable polymeric membrane at an operating pressure  of 80 psig to  100 psig.
Water  and most dissolved materials  pass through  the membrane, while suspended

                                       94

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solids  and other  colloidal  materials such  as emulsified oils  are retained  and
concentrated. The capacity of a UF membrane to pass water is an important design
criterion.  The  rate  of  filtration is termed flux, which is  the  volume of  water
permeated per unit membrane area per unit time, usually expressed as  gallons per
square foot.

      Bench-scale  and pilot scale tests  have  been performed  to determine the
effectiveness of UF in treating laundry wastewaters (14).  Results have indicated
that although pollutant removal  rates are on the order of 95 percent for metals and
conventional pollutants,  clogging and fouling of the membrane reduced membrane
flux to levels too low for industrial application,,

      From a technical standpoint UF systems with tubular modules have advantages
over  physical-chemical systems utilizing  chemical addition and DAF. UF does not
incorporate coagulation; thus it does not require chemical additives.  In terms of
space requirements, UF systems would require less space than comparable physical-
chemical systems with DAF. This is due  to the number of unit operations involved
in each system;  these are chemical addition, DAF, and possible filtration for PCS's,
versus filtration for UF systems.

      When  considering  the cost  of treatment, however  comparison of the  two
technologies is  less well  defined.   Since  the cost  of  UF  treatment  is largely
dependent on flux,  it will be necessary to evaluate UF systems on a full-scale level.
At this time there has been no long-term operation of a UF system at an actual
laundry.

7.1.3.4 Diatomaceous Earth Filtration

      Diatomaceous earth (DE)  filters  have been applied to  treatment of laundry
wastewater. In DE filtration a thin layer of precoat is formed on a porous septum in
order to strain out suspended solids in the effluent (27).  A  cake is formed on the
filter by deposition of suspended solids and  DE, which is added to the effluent at a
constant rate. Head loss through the cake increases as filtration progresses; reverse
water flow is initiated when a preset maximum head loss is reached. Generally, DE
filtration is capable  of  excellent, removal  of suspended  solids but  not  of colloidal
matter (27).

      Treatment of wastewater at a linen supply laundry was accomplished  by DE
filtration.   Effluent  from  an  equalization tank was  injected with  DE  and a
proprietary  oil  adsorbent,  then pumped  through  precoated  pressure filters.   The
system provided moderate removal  rates, 32 percent BOD, 65 percent  TSS, 43
percent oil  and grease  and 40 percent metals.   The  system,  although  once in
fullscale operation, it has since been replaced by a treatment system using calcium
chloride coagulation and DAF.

7.1.3.5 Electrocoagulation

      An electrocoagulation (EC) process has been pilot tested on a laundry waste-
water.   In  EC, an  electric current  is continuously conducted  through a tank
functioning in a plug-flow mode.  Current is provided by electrodes immersed in the
wastewater.  EC system are  designed to  treat laundry wastewater through two
mechanisms.  With the  first, electrolysis induces coagulation  by neutralizing or
                                      95

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imparting a  positive charge  to  negatively  charged colloidal material.   With the
second, microbubbles formed  as  a  result of  electrolysis float the resulting floe  to
the surface of the contained effluent where it can be skimmed off (30).

     In the  pilot tests chemical  addition  was  required prior to electrolysis  to
achieve removal  of incompatible pollutants.   Alum, sulfuric acid, and polymer were
added.  Removal  rates included 80  percent oil and grease, 53 percent BOD and TS5,
and ^5 percent metals.  ,

     Theoretically,  EC processes  are capable  of performing both coagulation and
floe flotation.  In practice, however, chemical addition  of  the type described for
physical-chemical treatment is necessary to  achieve an effluent quality comparable
to that achieved by presently applied technologies.

7.1.3.6 Other Technologies

     Other treatment technologies have been laboratory or pilot tested on laundry
wastewaters with varying  degrees  of success.  These technologies include  reverse
osmosis, foam separation, distillation, and carbon adsorption (22, 31-33).  In general,
these techniques  were found either not applicable to removal of pollutants found in
laundry wastewater  or  are considered not economically comparable to technologies
previously described.

      The use of  carbon adsorption and steam stripping technologies following DAF
treatment was investigated specifically for  the further removal of toxic organics.
Steam stripping  was not considered technologically viable because of the boiling
point  characteristics  of  many  of  the toxic  organics found in  laundry  wastes.
Although  volatile and semivolatile organics would  be substantially  removed  by
stripping, organics with high  boiling points, i.e., phthalates would not be reduced.
Carbon adsorption following DAF  was also  not considered technologically feasible
due to the characteristics of  DAF  effluent.   Oil  and grease levels found  in typical
DAF effluents are sufficiently high that'a filtration step would be required prior to
carbon adsorption to prevent fouling of the carbon.

7.1.* Space Availability

      Since laundries may have limited additional space for treatment equipment, it
is important to note the space required for PCS's.  Average space requirements for
physical-chemical treatment  by DAF  are  presented in  Table  7-5  for selected
effluent flowrates. Chemical addition and floe  removal equipment are the essential
hardware required; equalization tanks are assumed below .grade.

      A site survey of b5 industrial laundry  sites concluded that space is generally
available  for the installation of treatment  equipment.   Less than 10  percent  of
facilities  would  have  major problems installing equipment.   The costs associated
with space allocation were estimated from the survey. These costs were included in
site preparation charges as a part of capital costs presented in Section 8.

7.2 TREATMENT FOR DIRECT DISCHARGE

      As indicated in Section  5, an  extremely limited number of laundries are direct
dischargers.  Only one  linen supply laundry is known to be a direct discharger.   No
                                       96

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TABLE 7-5  AREA REQUIREMENTS FOR PCS's
Exemplary flowrate,
m3/day (gal/day)
570
380
280
190
38
19
(150,000)
(100,000)
(75,000)
(50,000)
(10,000)
(5,000)
Required area
for system,
m2 
-------
industrial laundries are known to be direct dischargers.  A survey of the industry
identified 23 coin-operated laundries and one institutional laundry (with a workload
similar  to that of a power  laundry) that operate wastewater treatment  systems.
Thus, technical data on the performance of laundry wastewater treatment systems
(other than the pretreatment systems  discussed in the preceding subsection)  are
quite limited.   Hypothetical  treatment systems for the direct discharge  of linen
supply and industrial laundry effluents are described in the following subsections.

7.2.1 Primary Treatment

      Pollutants typically found in laundry wastewater are identified in Section 5 of
this  report.  Based  on information provided there,  pollutants which may require
control  before  direct discharge include oil  and  grease, pH, BOD, TSS, lead, copper,
chromium,  and  zinc.    Treatment technologies  capable  of  controlling  these
parameters are classified as either physical-chemical or biological.

      A previous study has concluded  that biological systems  cannot effectively
treat industrial strength laundry wastewater (17).  One possible explanation for this
ineffectiveness is the inability of  biological systems to cope  with high concen-
trations of oil and grease, which may be found in linen supply and industrial laundry
effluents  (see  Section  5).   Studies  have  indicated  that systems incorporating
trickling filters or activiated sludge can effectively treat effluents with emulsified
oil concentrations of 100 mg/1 or less (34, 35). Median oil and grease concentrations
found in  linen supply and industrial laundry wastewaters  were 300 mg/1 and  720
mg/1, respectively.   Microbial  metabolism, a primary mechanism for pollutant
removal by biological systems, may be inhibited by oily materials due to the  low
solubility of oil, the chemical  configuration of oil molecules, and the nature of
microbial surface (36).

      Since biological systems are  limited in their capability, two stages,  primary
and secondary  treatment  systems may be considered necessary for linen  supply  and
industrial  laundry effluents  being  directly discharged.   Noting  the removals of
pollutants for  pretreatment  DAF  is  considered  an effective primary  treatment
technology and is used as  the basis for primary treatment prior to direct discharge.

7.2.2 Secondary Treatment
                                           /
      Considering the pollutant concentrations shown in Appendix C for wastewater
after physical-chemical treatment, secondary  treatment may be  required  before
linen supply and industrial laundry effluents can be discharged to surface waters.
Biological techniques  are considered' suitable  for secondary  treatment of  these
effluents.  This assumption is based on limited performance data from coin-operated
laundries currently operating small-scale biological units.

7.2.2.1  Biological Treatment

      Two biological units, trickling filters  and facultative lagoons, are  considered
for potential secondary treatment of laundry effluents.  Selection of this particular
equipment is mainly based on survey information from coin-op laundries. A general
characterization of industrial and/or linen supply laundry wastewater after primary
treatment is given in Table  7-6.  The indicated BOD  loading of 300 mg/1 was used

                                       98

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     TABLE 7-6  CHARACTERIZATION OF LAUNDRY
WASTEWATER AFTER PHYSICAL-CHEMICAL TREATMENT
                                     Estimated
                                   concentrations3
                                     after P-C
                                     treatment,
Pollutant
Oil and grease
BOD5
TS5
Phosphorus
Copper
Lead
Zinc
PH
mg/L
70
300
100
0.*
0.2
0.1
0.4
7.0
          Median concentrations are taken from
          Section 5,
                          99

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for  developing design  parameters  for  biological systems  incorporating  either
facultative lagoons or trickling filters.

     Wastewater  from primary treatment is considered similar to raw wastewater
from coin-op laundries (see Table 5-8).  Since certain  parameters such as BOD are
somewhat higher  for primary treated  wastewater, the biological system  for linen
supply and industrial laundries must be designed accordingly.

     Stabilization Pond  - An aerobic/anaerobic  (facultative)  stabilization  pond
(lagoon) has been considered for secondary treatment of laundry wastewater.  In this
system, surface aerators are used to mix the effluent in the upper  portion of the
lagoon.  Oxygen  supplied to  this area from  aerator action  is used by aerobic
microorganisms for metabolic waste conversion and BOD reduction. Incoming solids
and solids (microorganism cell tissue) formed during conversion settle to the lower
region of the lagoon where anerobic decomposition occurs, resulting in further BOD
reduction.   Final  effluent from this type  of lagoon  is  generally more  highly
stabilized than effluent from completely aerobic systems (23).

     Table  7-7 presents effluent concentration data for three  lagoons operated  by
coin-op laundries.  These data were  taken from NPDES  monitoring reports,  and no
influent  concentration  data were available.  Thus, the data serve only  as relative
indicators  of  achievable  effluent quality (in  terms  of BOD^,  suspended  solids,
phosphorus, and oil and grease).

     Tricking  Filters  - Trickling  filters are  also   considered  viable  secondary
treatment.  A trickling filter consists of a circular  basin filled with permeable
media to which microorganisms are attached and through which the laundry effluent
is percolated (23).  The filter medium  may consist of plastic chips or rocks; the
effluent  is distributed  over the top of the media by means of a rotary distributor
(23).

     Microorganisms attached to the  filter medium  degrade the organic material
present in the wastewater, resulting in an initial reduction in effluent BOD.   Solids
formed during  filter action  are carried with  the percolating effluent through the
underdrain to  a settling  tank.   Settling of solids in the  tank is  an  additional
mechanism for BOD reduction.

     Survey data showing the reduction of various pollutants  by trickling filter
systems are given in Table 7-8 for two coin-op laundries.  Average flowrate for one
laundry is  15  m^/day (4,000  gpd); flowrate for the other laundry is not  available
from survey data.

7.2.2.2 Other Technologies

     Secondary, treatment of laundry wastewater by carbon  adsorption  has  been
tested on a pilot scale. Effluent from the UF unit described in Section 7.1.3 was
continuously directed through  a carbon column during  testing procedures.  Removal
of dissolved organics by activated carbon occurs through adsorption, a  process where
physical  and chemical  attractive forces bind organic  molecules  to a highly porous
carbon surface. Generally, low molecular weight or highly soluble organics are less
readily removed from  wastewater by carbon than organics  of low solubility and/or
high molecular weight.

                                      100

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   TABLE 7-7 EFFLUENT CONCENTRATIONS FOR LAGOONS
    TREATING WASTEWATER FROM COIN-OP LAUNDRIESa


Pollutant
Parameter
BOD5
TSS
pH
Phosphorus
Oil and grease


Number of
data points
10
10
5
1
1
Median
effluent
concentration,
mg/1
20
83
9.3
0.02
2.5


Range
mg/1
1 - 130
1* - 273
8 - 9.9
--
—
a Data are from three coin-op laundries; average effluent flow
  rates were reported as 3 m^/day (770 gpd), 5.7 m^/day (1,500
  gpd), and 25 m3/day (6,500 gpd).
                           101

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     Limited performance data developed  during  a two-week pilot-scale test  of
activated carbon treating laundry wastewater from a UF unit (14)  showed  that
carbon did not further reduce BOD concentrations.  Thus, activated carbon is not
considered as applicable for secondary treatment.

7.3 RECYCLE/REUSE TECHNOLOGY

     Due to the rising costs of fuel and water incurred by laundry facilities, a few
operators are presently reusing  or recycling  their  wastewater.  For  purposes  of
discussion,  reuse  is  defined as  the use  of  untreated  wastewater  in  a second
application that is different from the orginal.  Recycle is defined  as the treatment
of laundry wastewater by physical-chemical means enabling it  to be used again in
the washing process.   Both  reuse and recycle  techniques  are  discussed in the
following sections.

     Reuse - In reuse strategies, laundry wastewater from one or more rinse cycles
is introduced into the wash process in the initial flush,  break,  and/or  suds cycles.
Holding tanks are used for storage  of rinse waters until a subsequent laod of laundry
is ready for washing.  Fresh water is added  to the rinse water  in  amounts  that
provide an adequate quality of water for use in a preliminary wash stage.  A laundry
operator will typically arrange his loads  so that wastewaters  from  lightly soiled
articles can be reused on more heavily soiled loads.   Before reuse,  wastewaters may
be treated by conventional techniques such as lint screens or catch basins.

     Recycle   -  In  order to recycle an equalized flow of laundry  wastewater,
physical-chemical treatment  techniques are employed to achieve a  water quality
acceptable  for use as a  washing medium.  Quality specifications are difficult  to
define since laundry  personnel  are  not in  agreement  as  to what constitutes
acceptable  water  quality, or the means of achieving such  quality.   Laundry
wastewater recycling is a comparatively new concept; only a very small number  of
laundries (approximately  7) are practicing effluent recycle.  Thus it  is difficult  to
determine the technical feasibility  of effluent recycle on a large  scale.

     Two physical-chemical treatment systems are  currently being used for laundry^
wastewater  recycle.   These systems use alum or  polyelectrolyte  for chemical'
coagulation, followed by dissolved air flotation and filtration for floe removal.

     Treated effluent is  usually stored in an insulated holding tank and pumped  to
the washing machines  as required.  Recycled water is mixed with fresh water before
being used in the wash process.  In  present applications, 60% to 80% of this mixture
is recycled to keep dissolved vsolids concentrations at an acceptable level as part  of
achieving the overall water quality necessary for laundering.  Laundries with these
recycle systems report that the treated water is acceptable for  recycle purposes so
long as the necessary dilution is provided.                       -•

     •Recycle of industrial-strength laundry effluent is being practiced at only one
or  two  facilities  with  prototype treatment units.    Therefore,  the  technical
feasibility of laundry effluent recycle on an industry-wide basis has not been proven.
Potential  technical   problems   involving  recycle   which  may  require  further
consideration are listed below:
                                     103

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     o     Specific contaminants such as dyes and soivents may render the treated
           effluent unacceptable for recycle.

     o     Increased concentrations of dissolved solids in recycle water may render
           it  unsuitable for certain laundering applications  unless  high dilution
           ratios  are  used.    Higher   dilution   ratios  reduce  the   economic
           attractiveness of recycling.

     o     Influent streams to  recycle systems generally contain higher pollutant
           loadings than  influents  to once-through  treatment systems  employing
           similar treatment technology.  This observation was made by one recycle
           system manufacturer contacted during this study. Recycle systems, thus
           may not achieve the effluent quality possible with once-through systems
           when treating comparable strength effluents.

7A SLUDGE HANDLING AND DISPOSAL

     Solid  waste (sludge)  is produced as  a  result of physical-chemical  and/or
biological treatment  of laundry wastewater.   In  a DAF system, floe formed by
coagulation is collected in the DAF unit, resulting in a sludge having a solids content
of 5% to 8% by weight.  This sludge is composed of coagulant chemical precipitates
and  pollutants  removed  from  the wastewater.   Biological  sludges result  from
microbial growth and decay. In  the following section only solid waste from DAF is
discussed because  no  information  was available on sludges resulting  from the
biological treatment of laundry wastewater.

7.4.1  Sludge Dewatering

     Sludges from DAF units are typically in a liquid state with a solids content of
5% to 8% by weight.  Dewatering techniques serve to reduce the overall volume of
solid waste produced, converting  sludge into a more solid form.  Dewatering will
usually make handling and disposal  of sludges easier  and less costly for the laundry
operator. Certain laundries with DAF currently use rotary vacuum filters or screen
presses  for  dewatering purposes.  A  sludge  cake with a solids content of between
20% and 30% is produced with these devices.

7.4.1.1  Rotary Vacuum Filters

     A vacuum filter consists of a cylindrical rotating drum partially submerged in
a vat of sludge. Sludge adheres to a cloth or steel  mesh filter that  makes up the
drum surface.   Vacuum imparted to the inside of the  rotating drum draws water
from the sludge through the filter  material  to  the drum interior where it collects
and is either discharged as  final effluent or directed back to the equalization tank.
The resulting dewatered sludge (filter cake) is scraped from the filter and collected.

     The ability  of  a  rotary  filter to dewater laundry sludge depends  on the
following conditions:

     o     Type and  concentration of contaminants  in the laundry effluent being
           treated,
                                     104

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     o     Type and quantity of chemicals  used  for physical-chemical treatment,
           and

     o     Design capabilities of the dewater ing equipment.

     Laundries  currently  employing  rotary filters report  sludge cakes  having
between 20% and 30% solids by weight.  In instances where laundry effluents have
high solvent concentrations  it  has been reported that the  resulting sludges are
relatively more difficult to dewater by rotary vacuum filtration.

7AA.2  Screw Presses

     A screw press is  used at  one commercial laundry to dewater sludge  from a
DAF unit.  Before entering the press, sludge  is conditioned by addition of a polymer
that chemically  alters its characteristics, enhancing separation of water from solid
material.  A rotating screw acts to compress the incoming  sludge, squeezing out
water; the resulting sludge cake  is approximately 20% solids by weight.

7.4.2  Sludge Quantity

     The amount of sludge  produced as a result of DAF  treatment of laundry
wastewater was  estimated to determine the sludge disposal costs given in Section 8.
Based on the median concentrations of oil and grease and TSS in  industrial laundry
effluents, before and after treatment,  it was assumed that a 90% reduction in these
parameters was  typical for  a DAF.  This assumption and respective coagulant feed
rates of 1,200 mg/1 and 1,800 mg/1  for industrial laundry wastewaters were used to
calculate sludge production.  Solids content in sludge from a DAF unit was assumed
to be 5% solids by weight.  Table 7-9  gives the production  of DAF sludge and
dewatered sludge at various flowrates for industrial laundries.

7A.3  Disposal Techniques

     Most  laundries  operating  DAF  systems employ  the services of an  outside
contractor for disposal of sludge.  The contractor may  use a  sanitary landfill or an
incinerator to achieve final disposal.  It  is reported from site surveys that present
contractors predominantly use sanitary landfills for final disposal of laundry sludges.
However, if laundry sludge is found to be  hazardous  as defined by the Resource
Conservation  and Recovery  Act (RCRA), then the sludge must  be disposed of in
RCRA approved landfills.
                                     105

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TABLE 7-9   SLUDGE QUANTITIES RESULTING FROM THE PHYS1CAL~CHEMICAL
            TREATMENT OF INDUSTRIAL LAUNDRY WASTEWATER a
Sludge Production
from DAF unit"3
kg/day m^/day
(Ib/day) (yd3/day)
2,300 (5,000)
1,400 (3,120)
680 (1,500)
400 (875)
170 (375)
57 (125)
12 (50)
46 (60)
28 (37)
14 (18)
7.6 (10)
3.4 (4.5)
1.1 (1.5)
0.5 (0.6)
De watered
sludge b
m^/day
(yd3/day)
i
9.0 (12)
6 (8)
3 (4)
1.5 (2)
0.8 (1)
0.2 (0.3)
0.07 (0.1)
        a  Based on sludge solids content of 5% by
           weight.
        b  Based on sludge solids content of 25% by
           weight.
                                106

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                                 SECTION 8
                      COSTS OF TREATMENT SYSTEMS
     This section presents capital  and annual  cost  estimates for treatment  of
laundry wastewater.   The treatment  technologies selected  tfor  cost estimation
purposes are briefly reviewed.  Capital  and annual cost estimates for pretreatment
and direct discharge treatment of laundry wastewaters are presented in graphic and
tabular form.  Selected flowrates based on industry data are used in the tables. Jhe
costs are in fourth quarter, 1978 dollars.  The basis for capital and annual costs for
each component system is presented.  Energy, sludge management, air  pollution and
other nonwater quality environmental considerations are addressed.

     Technologies for  pretreatment and  direct  discharge treatment  of laundry
wastewaters  were discussed in Section 7.  Technologies presently applied in the
laundries industry were selected for  cost  estimation  purposes.   Dissolved air
flotation (DAF) treatment was described as applicable technology for pretreatent of
laundry wastewaters.  In addition, DAF plus  biological treatment was described as
applicable technology for direct discharge treatment  of  laundry wastewater. The
DAF treatment systems considered incorporate chemical  addition and floe-removal
techniques  to  remove pollutants.  Trickling filters and stabilization ponds were the
biological treatment systems considered. Pollutant removal capabilities of DAF and
biological treatment systems were discussed in Section 7.

     Differences in pollutant loadings affect operating costs but not  capital costs
of DAF treatment systems; in addition they affect capital costs of treatment for
direct  discharge.  Typical pollutant loadings, as found in  industrial  laundries, were
used for cost estimation purposes.

8.1 CAPITAL AND ANNUAL TREATMENT COSTS ESTIMATE SUMMARY

     Table  8-1 presents  treatment  technologies considered  for  cost estimation
purposes for  the pretreatment and the  direct  discharge treatment  of laundry
wastewaters.  These technologies are DAF treatment for  pretreatment,  and DAF
plus biological treatment (either a stabilization pond or a trickling filter) for  direct
discharge.  These treatment systems are combinations of various alternatives that
affect capital costs, such as type of biological system.

     Table 8-2 presents and summarizes, for selected  flowrates, capital and annual
cost estimates for the  pretreatment of laundry wastewater with DAF.  Figure 8-1
graphically presents total capital cost  estimates versus flowrate while Figure 8-2
presents total  annual  costs   versus flowrate  for  the  pretreatment  of laundry
wastewaters.  Data points shown in the figures were developed from vendor quotes
and estimates for various flowrates.
                                      107

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      TABLE 8-1.  TREATMENT OPTIONS FOR LAUNDRY WASTEWATERS
Pretreatment Direct Discharge treatment
System
Physical-
chemical




Option Systems
DAF , Physical-
chemical
plus
biological


Options3
(Physical-
chemical system
using DAF) plus
trickling filter or
stabilization
pond.
Options are combinations of various alternatives that affect capital costs.
                                  108

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     Table 8-3 presents and summarizes, for selected flowrates, capital and annual
cost estimates for the direct  discharge treatment of wastewaters  with  DAF and
either a stabilization pond or a trickling filter. Figure 8-3 presents graphically total
capital cost estimates versus flowrate while Figure  8-4  presents total annual  cost
estimates versus  flowrate:    Total  annual  costs and  total capital  costs  differ
significantly  between DAF treatment with stabilization  ponds and trickling filters
because of the significant  differences between the capital and annual costs between
stabilization  ponds and trickling filters.

8.2 COST BASIS

     Total capital cost estimates include  equipment costs, freight charges, site
preparation   costs,    installation  costs,  indirect  charges  for  engineering  and
construction, startup costs,  and contingency allowance.   Estimates do not include
allowances for working capital. Working capital costs will be insignificant because
large "product" and raw material inventories are not maintained.
      Capital  costs estimates  were  developed separately for  DAF
systems and biological treatment systems.
treatment
      All  costs  are given  in  fourth  quarter 1978  dollars.  Costs  are based on
information, quotes, and estimates from vendors, industry associations, and the
literature. The data were aggregated and averaged where possible.

8.2.1 Dissolved Air Flotation Treatment Systems

      A DAF treatment system was selected for cost estimation as the pretreatment
system for laundry wastewaters discharged to POTW's and as part of  the treatment
system for the direct discharge of laundry wastewaters to receiving waters.  The
DAF treatment system considered incorporates chemical addition and floe-removal
techniques to remove pollutants.

8.2.1.1 Capital Cost Estimate

      Capital costs include  equipment costs, freight charges, site preparation costs,
installation  costs,  indirect charges  for engineering  and  construction, start-up
charges,  and a 10%  contingency allowance.  The allowance was  used to cover
potential price increases,  construction delays,  and  other unforeseen  expenses.
Allowance for working capital was not included because it will be insignificant.

      The data points  were determined  using vendor-supplied quotes  and estimates
for equipment, freight, installation, and start-up expenses.  These vendors specialize
in treatment systems for laundries, and the majority  of the systems  offered are
turnkey systems or packaged, skid-mounted systems.  Therefore, no component cost
breakdown  (such  as equipment, piping, installation,  engineering, etc.) is possible
because of the nature  of the quotes and estimates  used.
                                      112

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3.2.1.2 Annual Treatment Cost Estimates

     Annual  costs   include  amortization,   operating,  maintenance,  insurance,
monitoring, and technical support charges.

     Amortization - The annual amortization was determined from the total capital
cost estimate using the following equation:
                      Annual amortization, $/yr = CRF x A

where     CRF = capital recovery factor, 0.163 (86)
           A = capital cost estimate, $
(8-1)
     A 10% annual interest rate, 10-year equipment life, and no salvage value were
assumed.

     Chemical  Costs  - Chemical  dosage rates for various systems of chemical
additives were evaluated following  input from industry.  These  rates  along with
literature  sources  (57),  chemical   supply vendors' estimates, treatment  system
vendors' estimates, and chemical costs for systems in operation at laundries were
aggregated to produce a range of chemical costs, from $0.063/m3 of water treated
to $0.4-3/m3 of water treated ($0.24/1,000 gal. of water  treated to $1.62/1,000 gal.
of water treated).

     The most significant factor in determining the range of chemical costs was the
variations in the cost per kilogram (pound) or cubic meter (gallon) of the chemical  to
be used.  Therefore, local prevailing prices for chemicals will affect the chemical
cost per unit of water treated more significantly than will the system  of chemical
additives chosen.

     The average chemical costs of $0.28/m3 of water treated ($1.05/1,000 gal.  of
water  treated)  were  developed by averaging the  chemical costs incurred  by
industrial laundries and linen supply laundries, respectively, having DAF treatment
systems.

     Figure  8-5 presents  the relationship   between annual  chemical costs and
flowrates for the DAF treatment of laundry wastewaters. Based on laundry industry
data, 260 operating days/year are used to calculate annual charges.

     Sludge Disposal Costs - Sludge disposal costs include the  cost for the removal
of the  sludge  from laundry premises  and  the hauling of sludge to an approved
landfill. The sludge may or may not be dewatered depending  on the economics  of
dewatering.  Disposal may or  may not be performed by contract labor.  Costs were
compiled from estimates and costs provided by the laundries industry, costs incurred
by laundries operating DAF treatment systems, and the literature (58).

     Costs for sludge disposal  range from $0.018/m3 of  sludge to  $65/m3 of sludge
($0.014/yd3 of sludge  to $50/yd3 of sludge)  with  an average  cost  of $7.80/m3  of
sludge ($6/yd3 of sludge).

     Daily sludge generation rates are presented  in Figure 8-6.   The information
was  developed in Section 7. Dewatering of sludge to reduce volume, and therefore
disposal charges, will be  economical when the annual savings from the  reduced
                                      116

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                                                    203 250 300  430450500 SCO 700 300
                                                                     (200)
                           FLO WRATH, m/day
Figure  8-5.  Annual chemical  costs for  DAF treatment of laundry
              wastewaters.

                                117

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rr»
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       50
       40

       30


       20
       10

        8

        6


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     100

      80

    "60
    ••

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      20




    h 10
  1
0.8

0.6

0.4
     0.2
     0.1

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'  1
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          0.2
     0.1
             (1)
                 (2)
                     (4)   (6)  (8) (10)
(20)
(40)   (60) (80) (100)     (200)
                                                                      J	I
                                                                               II  111
                                    20
                                                 50
                                                          100
                                                               150  200  250 300  400450500600700800
                                         FLOWRATE,m3/day(103gpd)
          Figure 8-6.
                    Daily sludge generation rates for  DAF treatment  of
                    laundry  wastewaters.
                                          118

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volume  of sludge for disposal  equals  or  exceeds the annual  amortized cost of
dewatering equipment.   This  will be the  lowest  economical flowrate for sludge
dewatering.  Labor and maintenance charges are not specifically quantifiable  from
the estimates supplied by the  laundries  having these treatment systems.  Graphing
the annual amortized equipment costs  and the  annual disposal  charge savings for
dewatered sludge shows that sludge dewatering  becomes economical at 64 m^/day
(17,000 gpd), as shown in Figure 8-7.  Based on laundry industry data, 260 operating
days/year are used to calculate annual costs.

     Figure  8-8 presents annual sludge disposal  cost estimates versus  flowrate for
the DAF treatment of laundry wastewaters. The average cost for sludge disposal is
$0.48/m3 of water  treated ($1.80/1,000  gal.  of  water  treated)  for sludge not
dewatered and $0.094/m3 of water treated ($0.36/1,000 gal. of  water treated) for
dewatered sludge from treatment of  heavy pollutant loading  laundry wastewaters.
The average cost for sludge disposal is $0.27/m3 of water treated ($1.00/1,000 gal.
of water treated) for sludge not  dewatered  and $0.054/m3  of water treated
($0.21/1,000 gal. of water treated) for dewatered sludge from treatment of medium
pollutant loading laundry wastewaters.

     Electricity  Costs -  Electricity costs were developed from costs reported by
laundries operating DAF treatment systems. Electricity costs averaged $0.03/m^ of
water treated ($0.13/1,000 gal. of water treated),  and the range is from $0.021/m3
of water treated to $0.066/m3 of water treated ($0.08/1,000 gal. of water treated to
$0.25/1,000 gal. of water treated).

     Operating Labor Charges - Annual operating labor charges  for DAF treatment
systems  were developed  from man-hour requirements and wage rates supplied by
laundries operating  such  treatment systems.    Daily  labor requirements  were
estimated as 4 hours/day.  Based on laundries industry data, 260 operating days/year
were  used to calculate  annual  costs.  An average, fully-burdened wage rate for
treatment system operators in the laundries industry is $15/hr.

     Annual labor charges are estimated to be $16,000 for  the  DAF  treatment of
laundry wastewaters and are independent of flowrate (total was rounded).

     Maintenance Charges -  Maintenance costs were estimated to be 2% of the
capital cost of DAF treatment systems.

     Insurance Charges  - Insurance  charges were estimated to be 1% of  capital
costs of  DAF treatment systems.

     Monitoring  Charges - Monitoring  charges  include outside  laboratory analysis
charges and costs for reporting results to regulatory agencies.  The costs associated
with the collection  and  delivery of  samples are  included  in the  operating  labor
estimates.

     Monitoring for indirect dischargers (dischargers to POTW's) was assumed  to be
necessary  six times  per  year.  Analytical charges were assumed to  be  $65 per
occasion. Four hours per occasion of management time were estimated at $30/hour.

     Annual monitoring charges are estimated as $1,100 for the  DAF  treatment of
laundry wastewaters; this is independent of fiowrate.

                                     119

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 100
;"80

 60

 40



 20



 10
  8

  6

  4
S  2
    1
  0.8
  0.6

  0.4


  0.2
  0.1
    (1)
                                                        DISPOSAL
                                                         SAVINGS
                                                           FOR
                                                        DEWATERED
                                                          SLUDGE
          AMORTIZED COST OF /
          SLUDGE DEWATER ING
             FLOWRATES ABOVE WHICH
             SLUDGE DEWATER ING IS
             ECONOMICALLY JUSTIFIED
                    '  i  >  i i i t
                                              t  I  I  I I  I L
          (2)
(4)   (6)  (8) (10)
(20)
(40)   (60) (80) (100)    (200)
                                  50
                                         100
                                              ISO  200 250 300 *0«0500600n»800
                           aOWRATE, m3/day (lo'gpd)
Figure  8-7
               Annual  sludge  disposal  savings for  dewatered
               sludge  versus  annual amortized cost of
               sludge  dewatering  equipment.
                                  120

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      100


      60

      40



      20



      10
       8

       6

       4
    8
       1
      as
      0.6

      0.4
      0.2
      0.1
        (1)
                 WITHOUT
               DEWATERING
        FLOWRATES WHERE THE
        ANNUAL AMORTIZED
        COST OF SLUDGE
        DEWATERING EQUIPMENT
        EQUALS THE SAVINGS IN
        YEARLY DISPOSAL COST
        (SEE PREVIOUS FIGURE)
        THEREFORE ECONOMICALLY
        JUSTIFY ING THE USE OF
        SLUDGE DEWATERING
                                                WITH
                                             DEWATERING
                         '  i  i i  » i  i
                                           _L
                                                           » i  I I
(2)
(4)   (6) (8) (10)
(20)
(40)  (60) (80) (100)    (200)
                                                          i  i
                                                                iii  i  i  j
                            20
                                      50
                                              100
                                                   150  200 250 MO  400450500 600700 800
                                FLOWRATE, m3/day (rfgpd)
   Figure 8-8.  Annual  sludge  disposal3 costs for.DAF treatment of
                laundry wastewaters.
Only sludge  disposal costs  are  shown on  graph.
ing  equipment cost not  included.
                                           Sludge dewater-
                                     121

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     Technical  Support  -  Troubleshooting,  fine  tuning,  and  adaptation  of the
treatment  system to  changing wastewater  characteristics caused  by changes in
laundry product mix will have to be performed for the life of the treatment system.
These  services  may  be supplied by the  equipment vendor,  the  chemical supply
vendor, in-house personnel,  or a consulting  firm.   The cost is, therefore, highly
variable ranging from zero dollars  paid  for the  service,  if it is  performed  by
employees  in  addition to their other duties,  to  perhaps 5% to  10% of the  capital
cost.

     Technical  support  costs  were estimated  to  be $6,000  annually  for  DAF
treatment of laundry wastewaters; this is independent of flowrate.

     Summary of Annual DAF Treatment Cost  Estimates - Table 8-4 summarizes
the annual  cost for the DAF treatment of laundry wastewaters.

8.2.2 Biological Treatment Systems

     Biological treatment systems were selected for cost estimation as part of the
direct  discharge treatment technology for laundry wastewaters. Biological and DAF
treatment   together  comprise  the  direct  discharge  treatment  for  laundry
wastewaters.

     Trickling filters  and aerobic-anaerobic stabilization ponds  were the biological
systems selected.

8.2.2.1 Trickling Filters

8.2.2.1.1 Capital Cost Estimate
                                             »
     Capital  costs  include  equipment  costs, freight  charges, installation  costs,
indirect charges, start-up charges, and contingency. Working capital is not included
because it is insignificant.

     Major equipment component costs,  such as  filter media, rotary distributor,
underdrain material, containment panels, holding tank, and  clarification tank  were
obtained from  vendors.   The  delivered,  installed cost  of' this equipment  was
multiplied  by  a factor of 1.75 to estimate the additional  piping, instrumentation,
start-up, indirect, and contingency charges for  an  add-on system to the physical-
chemical treatment system.  A factor of 2.00  was used to estimate the total capital
cost of an independent treatment  system.  Figure  8-9 illustrates  the  capital  costs
versus  flowrate  relationship  for   the  trickling  filter  treatment  of  laundry
wastewaters.

8.2.2.1.2 Annual Cost Estimate

     Amortization  -  Annual  costs  for  trickling  filters  include  amortization,
operating,  maintenance,  and insurance  charges.    Figure  8-10  illustrates  the
relationship between  annual costs  and flowrates.   The  annual amortization was
determined using Equation 8-1 with capital recovery factor equal  to 0.117 (62).  A
10% annual interest  rate,  20-year equipment  life, and  no salvage value  were
assumed.
                                      122

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     TABLE 8-4 SUMMARY OF ANNUAL TREATMENT COST ESTIMATES FOR
                DAF TREATMENT OF LAUNDRY WASTEWATER
      Component costs
     Annual cost
Amortization

Chemicals

Sludge disposal, dewatered

Sludge disposal, undewatered

Electricity

Operating labor

Maintenance

Insurance

Monitoring

Technical  support
0.163 (capital cost)

($0.28/m3)a(flow)b

($0.094m3)c(flow)b

($0.48/m3)d(flow)b

($0.03/m3)e(flow)b

$16,000

0.02(capital cost)

0.01 (capital cost)

$1,100

$6,000
a  Range of $0.063/m3 of water treated to $0.43/m3 of water treated.
k  Flow equals m3/day times 260 operating days/year.
c  Range of $0.00012/m3 of water treated to $0.45/m3 of water treated and
   $0.00022/m3 of water treated to $0.78/m3 of water treated, respectively.
d  Range of $0.00061/m3 of water treated to.$220/m3 of water treated, and
   $0.001 l/m3 of water treated to $4.00/m3, respectively.
e  Range of $0.02 l/m3 of water treated to $0.066/m3 of water treated.
f  Range of $0.032/m3 of water treated to $0.32/m3 of water treated.
g  Range of $0.008/m3 of water treated to $0.49/m3 of water treated.
n  Range up to $0.87/m3 of water treated.
                                   123

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     Operating, Maintenance, and Insurance Charges - Operating, maintenance, and
insurance (OMI) charges were estimated as 6% annually of the trickling filter capital
cost based on literature sources (59,60).

8.2.2.2  Aerobic-Anaerobic Stabilization Ponds

8.2.2.2.1 Capital Cost Estimate

     Capital  costs  include  the  items previously discussed.   The costs of major
components such as  aerators,  concrete  work,  pond liner,  excavation, and  a
chlorinator were obtained from vendors.  The cost of  these items was multiplied by
a factor of  2.00 for an add-on to DAF  treatment, and by a factor of  2.25 for an
independent system to  estimate additional charges  for  piping,  instrumentation,
installation, indirects, etc.  Figure 8-11  illustrates the capital cost versus flowrate
relationship.

8.2.2.2.2 Annual Cost Estimate

     Annual costs of  stabilization ponds versus flowrates are  illustrated in Figure
8-12.

     Amortization - The annual amortization was determined using Equation 8-1
with capital recovery  factor equal to 0.117.  A 10% annual interest rate, 20-year
equipment life, and no salvage value were assumed.

     Operating, Maintenance, and Insurance Charges - Operating, maintenance, and
insurance charges were estimated  as 10% of the stabilization pond capital cost
based on literature sources (60,61).

8.3 ENERGY CONSUMPTION

     The total annual electricity consumption for pretreatment in the subcategories
for which pretreatment  may be  necessary,  industrial laundry and linen supply
subcategories, was estimated and is presented in Table 8-5. The electricity usage
per cubic meter of water treated (per 1,000 gal of water treated) was determined
from the  cost  of  electricity  for  pretreatment  ($0.13/1,000 gal  as previously
developed) and an estimate of the average unit cost for electricity ($0.04/KWH).

     An  estimate for the electricity consumption in both subcategories from an
industry trade association is 80 M3/kg of laundry (10 KWH/100 Ib of laundry). Using
the same information, estimates of  electricity consumption were developed and are
presented in Table 8-6.   The increase in electricity usage if all laundries were  to
install pretreatment systems (and none presently had them) is  also estimated.  The
increase in  electricity consumption  in industrial laundries  and  linen supplies would
be 20% and 17%, respectively.

     Of  course,  these estimates  are  only crude  approximations  of  the actual
increases in electrical consumption that would be incurred if all industrial  laundries
and linen supplies were to install pretreatment systems.  It is also important to note
that these percent increases apply to electrical power only, and not to total energy
consumption (which includes fuel for  steam generation).
                                      126

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                  Total  annual  costs for  stabilization pond
                  treatment of  'laundry wastewaters.
                                     128

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       TABLE 8-5.    ANNUAL ELECTRICITY CONSUMPTION
                     BY PRETREATMENT
             Approximate
              number of
               indirect
Subcategory  dischargers
                 Annual electricity
                  consumption by
                    treatment,
                   PJ (106 KWH)
                    Electricity usage
                     per 1,000 gal of
                      water treated,
                        MJ(KWH)
Industrial
  laundry

Linen
  supply
1,000


1,300
 0.23


. 0.55  (150)
12 (3.3)


12 (3.3)
                                   129

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TABLE 8-6.     ANNUAL ELECTRICITY CONSUMPTION
              AT LAUNDRIES




Subcategory
Industrial
laundry
Linen supply


Number of
indirect
dischargers

1,000
1,300


Annual
consumption
PJ/y (106 KWH/y)

1.2 (320)
3.2 (890)
Increase in
consumption
if pretreatrnent
technology used,
percent

20
17
                    130

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8.* SLUDGE'MANAGEMENT

     Present sludge disposal practices consist of contracting with a hauler/landfill
operator to provide for disposal.  The sludge may or may not  be dewatered before
disposal.  Presently, screw presses and vacuum filters are used to dewater sludge.
The quantities of sludge generated per year by pretreatment are estimated in Table
8-7, assuming all laundries installed these systems and none presently had them, and
that all sludge is either dewatered or  all is not dewatered.  Using the amount of
sludge generated per 1,000 gallons of water treated, the average number of gallons
of water used per laundry per year, and the number of indirect dischargers in the
subcategory, the amount of sludge  generated per year for subcategories in which
pretreatment may be necessary was estimated.

     New  developments in sludge handling practices are underway in the Chicago
area. Recent legislation has required that the generation and  disposal of industrial
waste be monitored  by a set of forms (manifests).  Monitoring is required from the
time of sludge generation  to its ultimate disposal, and  copies  of the forms are
provided to each handler and to  the sanitary district at each step.  The system has
not been in effect for  a time sufficient to permit the assessment of costs  incurred
by industry.

     The sludge  composition is discussed in Section 7 and corresponds to pollutants
removed from the laundry wastewater plus additive chemicals.

8.5 OTHER NONWATER QUALITY ASPECTS

     Presently,  there   are  no  other  known,   significant,  nonwater   quality
environmental impacts in terms of noise,  radiation, or health from  the  selected
treatment  technologies.

     The nonwater quality aspects relating to air pollution that do not concern just
the automatic and other laundries industry are 1)  a possible stripping of volatile
toxic pollutants  in the  treatment systems, and  2)  release of air pollutants  from
sludge  incineration.    Release   of  volatile  toxic  compounds by  stripping  is
theoretically possible, but it has not been measured at this  time.   The possible
impact on  air quality has not been evaluated.  The second aspect to be considered is
the release of air pollutants, especially heavy metals, as participate or vapor if the
sludge produced  from laundry wastewater treatment  is incinerated.  This is not
presently practiced as a disposal method, and the possible air quality impact has not
been evaluated.                                                       »
                                      131

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     TABLE 8-7 AMOUNT OF SLUDGE GENERATED PER YEAR BY
                PRETREATMENT
Subcategory
                Number of
                 indirect
                dischargers
                                            Sludge generated
             m^/m3 of water
            treated (yd3 1,000
              gal. of water
                 treated
  m
                         3/yr
Industrial
 laundry
Linen
 supply
1,000
1,300
 0.061*
(0.30)

 0.012k
(0.060)
                                    (0.17)

                                     0.0069b
                                    (0.034)
 4.5
(6.0)

 0.91
(1.2)
                       6.2
                      (8.1)

                       1.2b
                      (1.6)
aSludge not dewatered.
^Sludge dewatered.
                                   132

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                                 SECTION 9

  SELECTION OF APPROPRIATE CONTROL AND TREATMENT TECHNOLOGY
                        AND BASIS FOR LIMITATIONS
     In the industrial laundry and linen supply subcategories all plants but one are
known  to  discharge  to  POTWs.   Based  on the  characteristics  of wastewater
generated by these two subcategories  and the potential for toxic pollutants to pass
through  POTW  systems,  the  Agency has  deemed  it  necessary to  propose
pretreatment standards for both existing and new sources.

     Currently there is only one known direct discharger in the industrial laundry
and linen supply subcategories.  A survey 'of NPDES  permit applications indicated
that several previously direct dischargers are now discharging to POTWs.  Because
of this trend and because it is  unlikely that an existing indirect  discharger  will
become a direct discharger, the Agency  has decided not to  propose any BPT, BAT,
or BCT limitations.  However, since new industrial or  linen supply laundry facilities
constructed in the future may be direct dischargers, the Agency is proposing New
Source Performance Standards (NSPS).

9.1 PRETREATMENT STANDARDS FOR EXISTING AND NEW SOURCES

     Proposed  pretreatment standards  are  presented  in  Table   9-1.     The
methodology used  to develop  these  standards  is  presented in  the following
subsections.

9.1.1 Technology Basis

     The  treatment  technology used as  the  basis  for  developing  pretreatment
standards for industrial and  linen supply laundries is dissolved air flotation  (DAF).
The  technology  includes flow equalization, chemical addition, and floe  removal.
Although only  a limited number of  laundry  facilities  currently  pretreat their
wastewaters, DAF is  the  most commonly applied technology in the industry.  The
DAF system  has shown  to be effective  in reducing toxic as  well as conventional
pollutants.

     The  Agency  investigated  other  technologies potentially  applicable  for  the
treatment   of   laundry   wastewaters.    These   technologies, which  included
ultrafiltration,  electrocoagulation, filtration and carbon adsorption, were rejected
because of limited performance data or for technological reasons.   Filtration  and
adsorption  technologies were rejected primarily because the oil and grease found in
laundry wastes tend to dog or bind such units.
                                     133

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   TABLE 9-1.   PRETREATMENT STANDARDS NEW AND EXISTING SOURCES
Pollutant
Chromium
Copper
Lead
Zinc
Estimated
Long-Term
Average
mg/1
0.18
0.74
0.93
0.74
Daily
Variability
Factor(l)
4.0
2.7
3.7
4.4
Proposed
Limitations
mg/1
24-hr, max.
0.74
1.5
3.7
2.9
30-day avg.
0.22
0.93
1.7
1.1
(1)    Daily variability factor is the ratio of the estimated 99th percentile to the
      estimated long term average.
                                  134

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9.1.2 Pollutants to be Regulated

      The  toxic  pollutants  selected  for pretreatment standards  are chromium,
copper, lead,  and zinc.  These four metals are found most frequently and at the
highest concentrations  in both industrial laundry and linen supply wastewaters.  A
detailed discussion of the solution and  exclusion of specific pollutants is presented in
Section 6 and  Appendix A.

      The Agency considered regulating major toxic organics but decided not to for
the following  reasons. Although DAF  effectively removes organics, it  is difficult to
quantify that  removal because it is often related to the removal  of oil and grease.
In addition, technologies that might  further remove organics following DAF, and
possibly allow for a numerical limitation were rejected for technological  reasons
based on the characteristics of DAF effluent.

9.1.3 Statistical Methodology

      Statistical analyses were performed on the laboratory measurements  of  four
toxic metals;  copper, chromium, lead, and zinc found in the treated effluent waste
stream. Statistical calculations  for  variability factors  of  daily measurements for
these parameters  are included herein, as well as probability performance curves for
30-day averages.

      Data Sources - Data used in the  development of pretreatment  standards for
industrial  and linen supply  laundries  are  from  the  sampling  and analysis of
wastewater  discharges  at  eight industrial  laundries  currently operating  DAF
treatment  systems.  Analytical data  are presented in Appendix C.  A total of 33
data points (daily samples) were  used for statistical analyses; 23  from one  laundry
and ten from seven other laundries.

      Prestatistical  Data Treatment  -  In  recording of actual data, certain data
values were entered as "less than" detectability limits.  In these cases, the sample of
monitoring data has been "censored" in  the process of data  recording since only the
threshold value has been retained  (i.e.,  if a pollutant concentration was reported as
<0.050 mg/1,  the  value of  0.050 rng/1  was used).  In the statistical  analysis of
monitoring data, censored data values were  included with  measured  values in the
sample. This practice  provides a reasonable approach, both for assessing industry's
capability  to  perform and environmental concerns for valid pollutant limitations.
Since censoring was done for "less than" bounds, any bias from their inclusion would
cause a slight increase in the long-term average, moderately  affecting  (in the
direction of leniency toward industry) the estimate of  long-term  average pollution
levels.

      The measurements obtained for each parameter were screened  by statistical
methods for spurious or non-representative values.  For this test of outliers  as well
as other statistical analyses  reported herein daily  observations of  pollutant levels
were assumed to follow the  lognormal distribution.   Under  this  assumption the
logarithms of  these measurements follow a normal distribution.

      The  extreme values,  i.e.,  maximum  and minimum, were subjected  to  a
students' t-test for outliers.  The test  consisted of calculating a t-statistic, given by:
                                      135

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                      t = max ((Ymax -y)/Sy, (y - ymin)/Sy)
      where:
      Ymax is the logarithm of the datum corresponding to the largest  pollutant
      measurement, and Ymin is the logarithm of the smallest.

      y is the arithmetic mean of the sample logarithms.

      Sy is the standard deviation of the sample logarithms.

      Where the calculated t-statistic exceeded the 99th percentile of the student's
 t distribution appropriate for the particular sample size, that value was rejected as
 not belonging to the sample.   Whenever an  extreme value, either  maximum or
 minimum  was  rejected  in  the  test  for  outliers,  the  sample  statistics  were
 recomputed with the remaining data, and the screening for outliers performed once
 more. The procedure for  computing statistics, screening for outliers, rejection of
 outliers,  if  any, and recomputation of  statistics continued  iteratively until  no
 outliers were found.

      Statistical Analysis - Standard statistical  measures of pollution levels in DAF-
 treated effluents are  tabulated  and recorded in Tables 9-2 - 9-4.  These include
 minimum  (Min), arithmetic  sample   average  (Avg),  sample  maximum  (Max),
 arithmetic  standard deviation (Stdv), and sample coefficient of variation (C.Var).
 Table 9-2 presents a statistical summary of data collected at one industrial laundry
 over twenty-three days (referred to as Plant Z). The summary does not include data
 which was rejected for various reasons (see discussion of outliers above).  Table  9-3
 presents  a  statistical  summary of  data  collected from seven different  industrial
 laundries.  At two of the  laundries multiple samples were taken so  that a total of
 ten data points were obtained.  This summary also does not include rejected values.
 Finally Table 9-4  presents  a summary of all data  obtained from the  industrial
 laundries  excluding rejected values.  Pooling of limited data from several laundries
 will give a more comprehensive representation  of the average level of pollutant
 concentration  as well as  the variability to  be  encountered in  this  industrial
 wastewater source.

      However,  the  data  from  various  sources should  be  consistent before
 conclusions are drawn from aggregated or pooled samples.

      In order to determine the suitability for combining additional data points with
 Plant Z, a statistical test of the hypothesis that data from  the seven other laundries
 (as a group) came from the same  distribution  was performed for each of the four
 toxic metal pollutants; copper, total chromium, lead, and zinc.  The Wilcoxon-Mann-
 Whitney test was used with the following results significant at the .02 level:
             Cu

           Reject
           Pooling
  Cr(t)

Accept
Pooling
   Pb

Reject
Pooling
   Zn

Accept
Pooling
     In the following paragraphs, the selection of limitations for each of the four
toxic metals is based on the above results.  For copper and lead, pooling of the data
                                     136

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TABLE 9-2   STATISTICAL SUMMARY OF TREATMENT DATA FOR
           PLANT Z
Parameter (mg/1)
Cu
Cr(T)
Pb
Zn
No
19
18
19
19
Min
0.50
0.04
0.04
0.09
Avg
0.86
0.13
0.98
0.77
Max
1.32
0:20
2.48
2.15
Stvd
0.23
0.04
0.73
0.60
C.Var
0.27
0.34
0.74
0.77
                           137

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TABLE 9-3.  STATISTICAL SUMMARY OF TREATMENT DATA FOR SEVEN
           INDUSTRIAL LAUNDRIES
Parameter (mg/1)
Cu
Cr(T)
Pb
Zn
No
9
8
9
8
Min
0.09
0.03
0.02
0.06
Avg
0.34
0.31
0.13
0.38
Max
0.89
0.62
0.47
1.20
Stdv
0.25
0.22
0.14
0.43
C.Var
0.75
0.72
1.14
1.14
                           138

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TABLE 9-4 STATISTICAL SUMMARY OF TREATMENT DATA FOR ALL
         INDUSTRIAL LAUNDRIES
Parameter (mg/1)
Cu
Cr(T)
Pb
Zn
No
28
26
28
27
Min
0.09
0.03
0.02
0.06
Avg
0.69
0.18
0.71
0.66
Max
L32
0.62
2.48
2.15
Std
0.34
0.15
0.72
0.58
C.Var
0.49
0.81
1.03
0.88
                         139

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from all eight laundries is rejected and limitations will be based only on data from
Plant Z.  In the case of chromium and zinc, pooling is acceptable and data from  all
eight laundries will be used in setting limitations.

Assumptions Concerning Daily Pollutant Level Measurements

      In the formulation and calculation of the following  performance  standards,
individual  sample measurements  of pollutant levels were  assumed to  follow  the
lognormal distribution, a well known and generally accepted statistical probability
model used in pollution analysis.   Under this assumption the logarithms of these
measurements follow a normal probability model. It was also assumed that recorded
measurements can be considered statistically independent and amenable to standard
procedures.

      In order  to ascertain the suitability of the lognormal  distribution for each of
the  toxic metals,  a  95%  confidence  band was  constructed around  the  sample
cumulative distribution function,  using  critical  values from  the distribution of the
Kolmogorov-Smirnov statistic, Dfvj.  Confidence bands are computed as:

                                 C(X)  ± DN,

where C(X) is the relative frequency of  sample observations less than or equal to a
given pollutant level X.

      These confidence bands are plotted on the cumulative  distribution plots  of
daily measurements in Figures 9-1 through 9-4 inclusive.

      In the  analysis of daily data, the  inherent variability of measured pollutant
levels in  the  effluent stream from the  laundry industry must be incorporated  in
calculating upper limits for daily pollutant discharge levels.  Even well treated and
controlled plants may experience some days when atypically  high level of pollutant
discharge is present in their waste stream. Such variations may be due to a variety
of factors, such as short-term maladjustments in treatment facilities, variation in
flow  or pollutant  load,  or  changes in the influent  stream.  To allow for this
variability, performance standards must necessarily be set  above the plant's long-
term  average  performance  and  occasional,  infrequent  excessive  discharges
permitted.  Since pollutant concentration  is often expressed in  terms of average
level, it is convenient to  describe standards of performance and allow variability in
term of multiples of this average.  Such a method of  computing limitation standards
as multiples of average  level  performance is  used.   The  ratio of the pollutant
performance level  to the estimated long-term average is commonly  called the
"variability factor".

      This factor is  useful with lognormally distributed pollutant  levels because its
value is independent of the long-term average, depending only  upon the day-to-day
variability of the process and the expected number of excessive  discharge periods.
For a lognormal population, the variability factor (P/A), the performance standard
P, and the long-term average A, are  related by:
                              ln(P/A) = S'(Z - S'/2)
     where:
                                     140

-------
POLLUTANT: Copper

Proposed Daily Maximum Limitation  (mg/1)
   1.5
Long Term Average
Standard Deviation of Daily Measurements
99th percentile (Z=2.33)
Number of Observations
                                                 All Data

                                                   0.7*
                                                   0.3425
                                                   1.78
                                                  28
                      Plant "Z"

                        0.86
                        0.2334
                        1.54
                       19
   DO
   £
   c
   o
   +3
   flj
   L*
   +•«
     w so  ,a>  n  m   m   a   it  s»
                                    Percentage
   Figure 9-1.   Cumulative Distribution of Daily Concentrations from Industrial
                Laundry Treated Effluent
                                     141

-------
POLLUTANT: Chromium

Proposed Daily Maximum Limitation (mg/1)
  0.74
Long Term Average
Standard Deviation of Daily Measurements
99th percentile (Z=2.33)
Number of Observations
All Data

  0.18
  0.14
   .74
 26
Plant "Z"

  0.13
  0.0438
   .26
 18
   o
  '•g
   8
   §.
  u
                 LOWER CONFIDENCE  BAND
                                          30  40  50  611  70  ta    90  95   98  99     99.8 it
          nnt   fttw 01 nz  ns ,t i   ?    5   .10
                                    Percentage
   Figure 9-2.    Cumulative Distribution of Daily Concentrations from Industrial
                 Laundry Treated Effluent
                                      142

-------
POLLUTANT: Lead



Proposed Daily Maximum Limitation  (mg/1)
3.7
                                                 All Data
                   Plant "Z"
Long Term Average
Standard Deviation of Daily Measurements
99th percentile (2=2.33)
Number of Observations
0.93
0.7228
3.54
28
1.15
0.7269
3.68
19
    DO

    £



    o
    !  Oat 0.1 0.2  0.5  1
                                     Percentage
   Figure 9-3.    Cumulative Distribution of Daily Concentrations from Industrial

                 Laundry Treated Effluent



                                     143

-------
POLLUTANT: Zinc

Proposed Daily Maximum Limitation  (mg/1)
2.9
                                                   All Data
                   Plant "Z
                                                                             11711
Long Term Average
Standard Deviation of Daily Measurements
99th percentile (Z=2.33)
Number of Observations
0.74
0.5752
2.90
27
0.87
0.5972
3.01
19
   o
   ttJ
   u
   3
               LOWER CONFIDENCE  BAND
                     UPPER CONFIDENCE BAND
               B.OS 0.1 0.2  OJ  1   I    S   .10   20   30  40  50  69  70   80    90   95    9S  99     99.8
                                    Percentage
    Figure 9-4.    Cumulative Distribution of Daily Concentrations from Industrial
                  Laundry Treated Effluent
                                       144

-------
      1.    "In" represent the natural logarithm (base e) of a numerical quantity.

      2.    5' is the estimated standard deviation of the logarithms of pollutant level
           measurements.

      3.    Z is a factor derived from the standard normal distribution. Z is chosen
           as Z = 2.33 so as to give performance limitations which provide a balance
           between appropriate consideration of day to day variation in a properly
           operating plant and the necessity to insure that a plant is functioning
           properly.

      This  Z-value  corresponds to  the 99th percentile of the lognormal distribution
meaning that only  1 percent of the pollutant observations taken from  a plant  with
proper operation of  treatment  facilities would be greater than the  performance
standard, P.  This percentile is equivalent to  allowing a plant in normal operation 3
to 4 exceedances per year.

Calculation of Variability Factors

      As mentioned above, statistical analysis of daily pollution level measurements
was based  on the  assumption that these data,  (XI, X2,...Xn), follow  a lognormal
distribution.   Following this  assumption, if  Yi=ln(Xi),  where ln(Xi)  represents the
natural logarithm or log base e of the pollution measurements,then the  Yi; i=l,2,...n
are each normally  distributed.  If  A' and S1 are  the  mean and standard deviation of
Y=ln(X) respectively, then the probability of  k percent that an  individual Y will not
exceed A'+ZS', where Z is the  k-th percentile of the standard normal  distribution,
e.g. Z=2.33, is the 99-th percentile of the standard normal distribution.  It follows
that A'+ZS1  is  the natural logarithm of the k-th  percentile of X and that the
probability  is  k percent  that  X will  not  exceed a  performance standard  P=
exp(A'+ZS').  It is also known that the average value of X is A= exp(Al+S'(5'/2)).  The
variability  factor VF, is obtained by dividing P by A, hence,

      VF =  P/A = exp(S'(Z - S'/2)), and

      ln(VF)  = ln(P/A) = S'(Z - S'/2)

      To estimate  the  VF for  a particular set  of monitoring  data, S'  may be
calculated  as the square root of ln(1.0  + (CV)2), where  the sample  coefficient of
variation, CV = S/X, is the ratio of sample standard deviation to sample average.

Example Calculation of Variability Factors for 24-Hour Data

      Given the following descriptive statistics for a particular parameter, as might
be found for  copper (mg/1) in Table 9-3.
                No.
               1 28
                      Min
Avg
0.69
Stdv
                      0.09        0.69       1.32       0.3*

Calculate the estimated standard deviation of logarithms

(S1)2 = In (1.0 + 0.492) = 0.219
CV
0.49
                                      145

-------
     S1 = 0.468

     Then

     ln(P/A) = 0.468(2.33 - 0.468/2) = 0.981

     The variability Factor VF is,

     VF = P/A = exp (0.981) = 2.67

     The performance standard P;

     P = A(VF) = A(P/A) = (0.69X2.67) = 1.84 mg/1

     The  statistical interpretation of  P, the performance standard,  is that  one
estimates that 99 percent of the  daily pollution level measurements will not exceed
P.  For large data sets, P is roughly equivalent to an upper 99 percent confidence
bound for an individual daily measurement.

     Graphs of the  cumulative distribution of sample results for each of these four
toxic metals being regulated are given in Figures 9-1 through 9-4. These graphs plot
cumulative relative frequency in the sample vs logarithm of pollutant concentration,
and are so scaled that a lognormally distributed variable plots as a straight line.

ASSUMPTIONS   CONCERNING   30-DAY   AVERAGE   POLLUTANT   LEVEL
MEASUREMENTS


     Although  individual pollution  concentration  measurements  are  assumed
lognormally distributed, that distribution does not extend to the statistical behavior
of averages, in this case where 30-day  averages are to be  used.   However, if
averages are taken* over a "reasonably large" number of days, a statistical principle,
the Central Limit theorem,  assures that probabilities  pertaining to such averages
may be computed using  the  normal probability  distribution.   A 30-day  average
contains enough individual daily measurements to insure that the normal probability
performance, even when daily values are lognormally distributed.

     To assess the treatability level for the industrial laundry treatment technology
of DAF, the "probability performance" was calculated  for each parameter in the
treated effluent stream.  This quantity is the probability that a given stream  will
have a 30-day average  pollutant level (mg/1) that is within or less than a given level.
This amounts to the  probability that a plant employing the proposed treatment will
produce a 30-day average concentration less than the corresponding level.  Where a
pollutant  discharge  level is  measured  by  the  average  concentration in  thirty
individual daily measurements (the 30-day average), the probability performance is
the estimate of the  proportion or fraction of the 30-day averages  that will be less
than or equal to the  given pollutant concentration.
                                     146

-------
COMPUTATIONAL  PROCEDURES  FOR  ESTIMATES  OF  30-DAY  AVERAGE
PERFORMANCE

      To  compute  the  maximum  likelihood  estimates  (MLE's)  of  probability
performance, it  is  necessary  to  compute the  MLE's of  the long-term  average
pollution  level  and  the long-term  standard deviation  of  pollution level using
logarithms  of  the individual  measurements  of  data.   The  maximum  likelihood
estimates of the mean logarithm and standard deviation of logarithms are done using
standard statistical formulae.

      These estimates are computed and used to obtain the MLE's of the long-term
average, A, and  long-term  standard  deviation, S,  of the pollutant concentration.
Dividing the estimated long-term standard deviation, 5,  by the square root of the
number of days (30) in the average, gives S*. the estimated standard error of the 30-
day average, and which can be used in computing probability performance.  For any
pollutant level, P, the estimated probability performance,  is  computed as:

      Probability (30-day average does not exceed P) = Pr(z)

      where     z = (P-A)/S*

      and   Pr(z) = probability that a standardized normal  value does not exceed z.

      Included with the technical  analysis  of  each  toxic  metal are the probability
performance curves, Figures 9-5 through 9-8  and estimates of long-term averages
for each parameter.  Note that  the estimate of  long-term  pollution average is
obtained by maximum likelihood methods from the lognormal distribution and  does
not necessarily equal the sample arithmetic average given  in Tables 9-2 to 9-4.

      Where a parameter curve is quite "steep", i.e., for those parameters that show
a sharp increase in probability (of a 30-day average  not  exceeding a given value) for
a small increase in pollution concentration, this is primarily due to a relatively small
coefficient  of variation.  In other words, the steepness of the curve is directly
related to the degree of consistency in the sample results.

9.2 NEW SOURCE PERFORMANCE STANDARDS
      Proposed new  source  performance
laundries are presented in Table 9-2.

9.2.1  technology Basis
standards for  industrial and linen supply
     For  NSPS, the  Agency  proposes  the  same  treatment  technology  that is
proposed for pretreatrnent standards, dissolved air flotation, but with the addition of
biological treatment for the further reduction of conventional pollutants.  Trickling
filters  or stablization ponds (facultative lagoons) are  recommended as  biological
treatment options.

9.2.2 Pollutants to be Regulated

     The toxic pollutants  selected for  NSPS are the  same as those selected  for
pretreatment  standards, chromium,  copper,  lead,  and  zinc.   The conventional
                                     147

-------
POLLUTANT:  Copper

Proposed Maximum 30-Day Average  (mg/1)
                                               0.93
Estimated Long Term Average
Standard Error of the 30-Day Average
95th percentile (Z=1.64)
Number of Observations
                                                All Data

                                                 0.7*
                                                 0.1095
                                                 0.92
                                                28
                                                                 Plant "Z"
                                                                   0
                                                                  19
                                        0.86
                                        0.0*2
                                          93
roblity Any 30-Day
s Not Exceed a Given Concentration
hat
ab
•o

-------
POLLUTANT: Chromium

Proposed Maximum 30-Day Average  (mg/1)
                                                  0.22
Estimated Long Term Average
Standard Error of the 30-Day Average
95th percentile (Z= 1.6*)
Number of Observations
                                                 All Data

                                                  0.18
                                                  0.0253
                                                  0.22
                                                 26
                                                                     Plant "Z"
                                                         0
                                                         0
                                                         0
                                                        18
13
0096
15
  o
  .«H
  -M
  2
  •i->
^ «
l1^
9cS
o w

(0 O
•§Z
  to
  
V








DATA























'



















^



















x^




















k



















^--






























































0.12     0.14
                                  0.16
                                            0.18
                                                       0.2Q
                                                                 0.22
                               Concentration (mg/1)
   Figure 9-6.  Estimated Performance of Proposed DAF Treatment

                                     149

-------
POLLUTANT: Lead

Proposed Maximum 30-Day Average  (mg/1)
                                              1.7
Estimated Long Term Average
Standard Error of the 30-Day Average
95th percentile (Z=1.64)
Number of Observations
                                            All Data

                                              0.93
                                              0.4615
                                              1.69
                                             28
                                                                   Plant "Z"

                                                                     1.15
                                                                     0.3121
                                                                     1.66
                                                                    19
f 30-Day
en Concentration
) O O O H
• • • •
* ^J 00 VO O
c.2 u.t>
> CJ
t! x n 4
:r! uj U.fi
IS +j
« o
o "" 0.3
V- 03
o< 
-------
POLLUTANT: Zinc



Proposed Maximum 30-Day Average (mg/1)
1.1

Estimated Long Term Average
Standard Error of the 30-Day Average
95th percentile (Z=1.6*)
Number of Observations
All Data
0.7*
0.2113
1.09
27
Plant "Z"
0.87
0.21*2
1.22
19
1.0
c
o _ A
•2 0.9
td
L,
+••
^ % 0.8
>> u
<3'c
9fl
o u 0.7
CO C
•*. <"
c\S
<0 0.6
13 "*
ni o.s
>% u
•- iS
5" 0.4
m o
•§Z
i- to no
a,  (U ,
n3^ 0.1
0.0


































































ALL DATA 	














^















7*
^*^













/
/
Xt
0










/
/

/
\
.5






rl

/



/
/
/
\
i
/
••!/


•












i
/
/
-j!
/ i

y

/

/








/
/












i.

/
K.
/
/
1




x
11 !








,x-r
^








- PLANT



























x^j









Z









Y~*



















0 I




































































































.5 ' 2.


































































.

































0 2




















.5
                             Concentration (mg/1)
   Figure 9-8. Estimated Performance of Proposed DAF Treatment




                                     15-1

-------
pollutants  selected  for  regulation are  TSS,  BOD, and oil and grease, the major
classical pollutants found in laundry wastes.

9.2.3  Basis for Numerical Limitations

      Toxic metals limitations  are the same as those proposed for pretreatment
standards.  The basis for the limitations is presented in Section 9.1.

      Because only one direct discharger has  been identified in the linen supply and
industrial laundry subcategories, the  Agency  is  proposing  NSPS limitations for
conventional pollutants, TSS, BOD,  and oil  and grease,  equal to those currently
imposed on that direct discharger.  The  Agency has determined that the limitations
are achievable using the technologies of  DAF and biological treatment.
                                     152

-------
                               REFERENCES
1.    Draft Preliminary Qualitative Economic Assessment of Effluent Limitations in
     the Laundries Industry.  Contract 68-01-4618, U.S.  Environmental Protection
     Agency, Washington, D.C. (Preliminary document submitted to EPA by Energy
     and Environmental Analysis, Inc., September 8, 1977.)  25 pp.

2.    Economic Effects of Water Pollution Control on the  Laundry Industry, Phase
     II.  Contract 68-01-2412, U.S. Environmental Protection Agency,  Washington,
     D.C.   (Preliminary document submitted  to EPA  by Colin  A.  Houston  &
     Associates, Inc., April 15, 1974.) 207 pp.

3.    Preliminary Quantitative Economic Assessment of Effluent Limitations in the
     Laundries Industry.   Contract  68-01-4618,  U.S.  Environmental  Protection
     Agency, Washington, D.C. (Preliminary document submitted to EPA by Energy
     and Environmental Analysis, Inc., January 10,  1978.)  72 pp.

4.    Johnson, K.C.   Laundering.   Ins  Kirk-Othmer Encyclopedia of  Chemical
     Technology, Second Edition, Vol. 12. John Wiley & Sons, Inc., New York,  New
     York, 1967. pp. 197-207.

5.    Osos, G. R. Successful Steam  Tunnel Finishing.  Linen Supply News, 61(2):90-
     92, 1977.

6.    Wile, J. L.  Latest Development Rundown on  Washroom Machinery & Supplies.
     Institutional Laundry, 16(8):20-22, 1972.

7.    Martin, A. R., F. Loibl, G. E. Leonhardt, and H. E.  Reeves.  Drycleaning. In?
     Kirk-Othmer Encyclopedia of Chemical Technology,  Second Edition, Vol.  7.
     John Wiley & Sons, Inc., New York, New York, 1965.  pp. 307-326.

8.    Development  Document for Effluent Limitations Guidelines and  New Source
     Performance Standards for the Auto and Other Laundries Category, Part I.
     U.S.  Environmental  Protection  Agency,   Washington,  D.C.   (EPA  draft
     document, January 1977.)

9.   Powder Power Puts Profit in Solvent  Recovery.   Laundry Cleaning World,
     1(2):18-19, 1973.

10.  Bee, B. Increasing Solvent Mileage.  Coinamatic Age,  34(4):38, 1976.

11.  McCoy, J.R.  Solvent Filtration with Cartridge Type Filters. Coinamatic  Age,
     34(4):28-30, 1976. -
                                     153

-------
12.
13.
                          REFERENCES - continued
Hasenclever, K.D.  The Basis of Effective Drycleaning Distillation.
Laundry & Cleaning News, pp. 15-17, June 1977.
                    Power
An "update" on workwear processing in the USA.
News, November 11, 1977.
Power Laundry and Cleaning
14.   Kleper, M. H., R.  L. Goldsmith, and  A.  Z.  Gollen.   Demonstration  of
     Ultrafiltration and Carbon Adsorption for Treatment of Industrial Laundering
     Wastewater.   EPA-600/2-78-177,  U.S.   Environmental  Protection Agency,
     Cincinnati, Ohio, August 1978. 121 pp.

15.   Rosenthal, B.  L.  et al.  Industrial Laundry  Waste Water Treatment Study.
     Project  #48,   Massachusetts  Health  Research   Institute,  Inc.,  Boston,
     Massachusetts, April 1964. 93 pp.

16.   Cogely, D. R. and  B.  A. Weschler.  Occurrence and Treatability of Priority
     Pollutants in Industrial Laundry Wastewaters.  Draft Final Report.  Grant No.
     S-804367-01,   U.S.   Environmental Protection  Agency,  Cincinnati,  Ohio.
     January 1978.  110pp.

17.   Douglas, G.  Modular  Wastewater Treatment System Demonstration for the
     Textile  Maintenance  Industry.    EPA-660/2-73-037,  U.S.  Environmental
     Protection Agency, Washington, D.C., January 1974.  342 pp.

18.   Van  Hess, W., E.  W.  Lard,  and Dr.  R. McMinn.  A Continuous Shipboard
     Laundry Wastewater Treatment and Recycling System. David W. Taylor Naval
     Ship Research  and Development Center, Annapolis, Maryland. 19 pp.

19.   Guarino,  V.  J., and  R.  A.  Bambenek.   Development  and  Testing of  a
     Wastewater Recycler and Heater.  EPA-600/2-76-289.   U.S.  Environmental
     Protection Agency, Cincinnati, Ohio.  December 1976.  106 pp.

20.   Lent, D.  S.   Treatment of Power Laundry  Wastewater  Utilizing Powdered
     Activated Carbon and Cationic Polyelectrolytes.  In:  Proceedings of the 30th
     Industrial Waste Conference,  Purdue University, Lafayette, Indiana, May 1975.
     Ann Arbor Science Publishers, Inc., Ann Arbor, Michigan.  January 1976.

21.   Galonion, G.  E.,  and  D. B.  Aulenback.   Phosphate Removal  from Laundry
     Wastewater.  Journal of the  Water Pollution  Control  Federation, 45(8):1708-
     1717. August 1973.

22.   Aulenback, D.  D., P.  C. Town, and M. Chilson.  Treatment of Laundromat
     Wastes. EPA-R2-73-108, U.S. Environmental Protection Agency, Washington,
     D.C., February 1973. 65 pp.

23.   Wastewater Engineering, Collection, Treatment, and  Disposal.   Metcalf and
     Eddy, Inc., McGraw-Hill Book Company, New York, New York, 1972.  782 pp.
                                    154

-------
24.
                          REFERENCES - continued
Patterson,  I. W.   Wastewater Treatment Technology.   Ann Arbor Science
Publishers, Inc., Ann Arbor, Michigan, 1975. pp 175-189.
25.  Process Design Manual for Upgrading Existing Wastewater Treatment Plants.
     Technology Transfer, U.S. Environmental Protection Agency, Cincinnati, Ohio,
     October 197*.

26.  O'Melia, C.R.  Coagulation and Flocculation.   In;  Physicochemical Processes
     for Water Quality  Control, Chapter 2, W.   3. Webster,  3r.,  ed.   Wiley-
     Interscience, New York, New York, 1972.  pp. 61-91.

27.  Process Design Manual for Suspended Solids Removal - Technology Transfer,
     U.S. Environmental Protection Agency, Cincinnati, Ohio, January 1975.  pp. 4-
     1, 4-2.
28.  Wastewater  Treatment  Plant Design, Manual of  Practice  No. 8.
     Pollution Control Federation, Washington, D.C., 1977. 560 pp.
                                                                   Water
29.   Pinto, S.D., Uitrafiltratioh for  Dewatering of  Waste Emulsified Oil's,   In:
      Proceedings,  First  International  Conference,  Lubrication  Challenges   in
      Metal working and Processing, IIT Research Institute, Chicago, Illinois, 1978. 4
      PP-

30.   Ramirez, E. R.  Electrocoagulation  Clarified Food Wastewater.  Deeds and
      Data, Water Pollution Control Federation, April 1975.  3 pp.

31.   Minturn,  R.  E.,  3.  S. Johnson,  3r., W. M.  Schofield, and D.  K. Todd.
      Hyperfiltration of Laundry Wastes. Water Research, 8(11):921-926, 1974.

32.   Grives, R. B., and 3. L. Bewley. Treating Laundry Wastes by Foam Separation.
      3ournal of the Water Pollution Control Federation, 45(3):470-479, 1973.

33.   McCarthy,  3.  3., and  R.  H. Chyvek.  Evaluation of a Vapor Compression
      Distillation Unit for Laundry Wastewater Reuse.  Technical Report 7711, U.S.
      Army Medical  Research  and  Development  Command,  Washington, D.C.,
      August 1977.  45 pp.

34.   Baker, R. 3.  Degan, and  R.  Weston.  Pilot Plant Studies of  the  Biological
      Treatment  of  Petroleum  Refinery  Wastes.    Ini    Proceedings  of  the
      Pennsylvania Sewage Wastes Association, August  1952.

35.   Coe, R.  Bench-Scale  Biological  Oxidation of Refinery Wastes with  Activated
      Sludge.  Sewage Industrial Wastes, 24(6):1952.

36.   Tabakin, R. B., R. Trattner,  and P.  N. Chevemisinoff.  Oil/Water Separation
      Technology:  The Option  Available, Part  2.    Water  and Sewage Works,
      125(8):72-75, 1978.
                                      155

-------
                          REFERENCES - continued
37.  Process Design  Manual  for  Sludge Treatment and  Disposal.  Technology
     Transfer,  U.S. Environmental Protection Agency, Cincinnati,  Ohio, October
     1974. pp. 7-1/7-94.

38.  Federal Register. 43(243):58956-58957, December 18, 1978.

39.  Meredith, D. C., K. W. Wong, R. W. Woodhead, and R. H. Wortman.  Design
     and Planning of  Engineering Systems.  Prentice-Hall,  Inc., Englewood Cliffs,
     New Jersey, 1973. 393 pp.

40.  Current Prices  of Chemicals and  Related  Materials.  Chemical Marketing
     Reporter, 215(3):40-49.

41.  Parker, R. S., Jr.  Assessment of Dissolved Air Flotation Sludge Management
     Options in Industrial Laundry Wastewater Treatment.  (Draft) Contract No. S-
     804367-01.  U.S. Environmental Protection Agency, Cincinnati, Ohio, October
     1978. 48pp.

42.  Van  Note, R.  H., P.  V. Hebert,  R.  M.  Patel, C. Chupek, and L. Feldman.  A
     Guide  of  the Selection  of Cost-Effective Wastewater  Treatment  Systems.
     EPA-430/9-75-002,  U.S. Environmental Protection Agency, Washington, D.C.,
     July 1975.

43.  Peters, M.S.  and K.  D.  Timmerhaus.   Plant Design  and  Economics  for
     Chemical Engineers.   McGraw-Hill  Book Company,  New York, New  York,
     1968, 850 pp.

44.  Pound, C. E.,  R. W. Cites, and D. A. Griffes.  Cost of Wastewater Treatment
     by Land  Application.   EPA-430/9-75-003,   U.S.  Environmental Protection
     Agency, Washington, D.C., June 1975.  156 pp.

45.  Letter from Institute  of Industrial Launderers to Environmental Protection
     Agency; October 31, 1979.

46.  Nemerow, N. L.  Liquid Waste of Industry, Theories, Practices, and Treatment.
     Addison-Westey  Publishing Company, Reading, Massachusetts, 1971.  584 pp.

47.  Federal  Guidelines,  State  and  Local  Pretreatment  Programs.   Volume  1.
     EPA-430/9-76-017a,  U.S.  Environmental  Protection  Agency,  Washington,
     D.C., January 1977. '196 pp.

48.  Beychok,  M. R., Aqueous Wastes from Petroleum and Petrochemical  Plants,
     John Wiley & Sons, N.Y., 1967.

49.  NIH-EPA Chemical Information  System, The Oil and Hazardous Materials -
     Technical Assistance Data System (OHMTADS), May 21, 1979.
                                     156

-------
                          REFERENCES - continued
50.   "Anaerobic Processes - Literature Review", Ghosh, 5., Journal of the Water
     Poilution Control Federation, Vol. 44, No. 6, June 1972.  p. 948.

51.   "Inhibition  of  Anaerobic   Digestion  of  Sewage  Sludge  by  Chlorinated
     Hydrocarbons,"  Swanwick,   J.  D. and  Margaret  Foulkes,  Water  Pollution
     Control, Vol.  70, 1971.  p. 58.

52.   "The  Effect  of  Chloroform  in  Sewage on  the  Production of Gas from
     Laboratory Digesters," Stickley, D. P., Water Pollution Control, Vol.  69, 1970.
     p. 585.

53.   "Combined Treatment of Chemical Wastes and Domestic Sewage in Germany",
     Bischofsberger,  Wolfgang,  Proceedings   of  the  24th   Industrial  Waste
     Conference (1969), Purdue University, p. 920.

54.   Ryer, F. V.  Soap.   In: Kirk-Othmer Encyclopedia of  Chemical Technology,
     Second  Edition, Vol.  18. John Wiley & Sons, Inc., New York, New York, 1969.
     pp. 415-432.

55.   Schwartz,  A. M.  Detergency.  In:  Kirk-Othmer  Encyclopedia of  Chemical
     Technology, Second Edition, Vol. 6.  John Wiley & Sons, Inc., New York, New
     York, 1965. pp. 853-895.

56.   Zweidler, R., H. Hausermann, and J.  R. Geigy.  Brighteners, Optical.   In:
     Kirk-Othmer Encyclopedia  of  Chemical  Technology, Second Edition,  Vol. 3.
     John Wiley & Sons, Inc., New York, New York, 1964. pp. 737-750.

57.   Current Prices  of  Chemicals  and  Related Materials.   Chemical  Marketing
     Reporter, 215(3):40-49.

58.   Parker, R. S., Jr.  Assessment  of Dissolved Air Flotation Sludge Management
     Options in Industrial Laundry  Wastewater  Treatment.   (Draft) Contract No.
     S-804367-01.   U.S.  Environmental  Protection  Agency,  Cincinnati, Ohio,
     October 1978.  48 pp.

59.  Van Note, R. H., P. V. Hebert, R. M. Patel, C. Chupek, and L. Feldman.  A
     Guide to the Selection of Cost-Effective Wastewater Treatment Systems.
     EPA-430/9-75-002,  U.S. Environmental Protection Agency, Washington, D.C.,
     July 1975.

60.  Peters,  M. S. and  K. D.   Timmerhaus.   Plant Design and  Economics  for
     Chemical  Engineers.  McGraw-Hill Book  Company, New  York,  New York,
     1968.  850pp.

61.  Pound,  C.  E., R. W.  Cites,  and  D. A. Griffes. Costs of  Wastewater Treatment
     by Land  Application.  EPA-430/9-75-003, U.S.  Environmental Protection
     Agency, Washington, D.C.,  June 1975. 156 pp.

62.  Meredith,  D. C., K.:W. Wong, R. W. Woodhead, and R. H. Wortman.  Design
     and Planning of Engineering Systems.  Prentice-Hall, Inc., Englewood Cliffs,
     New Jersey,  1973. 393 pp.
                                     157

-------

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                                 APPENDIX A
BASIS FOR EXCLUSION OF TOXIC POLLUTANTS
      Authority—The primary  authority for excluding specific  toxic  pollutants is
provided by Paragraph 8 of the Settlement Agreement in Natural Resources Defense
Council, Inc. v.  Train, 8 ERG 2120 (D.D.C. 1976), as modified, Natural Resources
Def^nsejguncil, Inc. v. Costle, 12 ERG 1833 (DoD.C.  1979).  For the  Linen Supply
and  Industrial  Laundry Subcategoriesy  Paragraph 8(a)(iii) contains the major bases
for excluding specific toxic pollutants.

      Where Paragraph  8  exclusions do not apply to a given  nonregulated toxic
pollutant, that pollutant is deferred.

      Bases for  Exclusion—-Eighty-three  toxic  pollutants  are  excluded  for all
subcategories  under Paragraph 8(a)(iii) because  they were  not  detectable  in the
sampled linen  supply and industrial laundry waste waters using approved analytical
methods. These pollutants are listed in Table 1 of this notice.

      Table 2 presents the toxic pollutants that were detected during sampling but
have been excluded from regulation.  The column headings in Table 2 assign a letter
to each basis for exclusion.  Each letter corresponds  to the detailed descriptions of
the various bases which follow:
                                                     V .
      Basis A  - Under Paragraph 8(a)(iii), the  Administrator  may  exclude  from
regulation any toxic pollutant which is  "present only in trace amounts and is neither
causing nor likely to cause toxic effects". Where a specific toxic pollutant showed
an average influent pollutant concentration of  <5Q  ug/1  over the  entire  sample
population, it was presumed that the above provision  would be applicable to permit
exclusion of that pollutant.

      Basis B  - Under Paragraph 8(a)(iii), the  Administrator  may  exclude  from
 regulation any pollutant "present in amounts too small to be effectively reduced by
 technologies 'known to the  Administrator."   As  explained in Section 7 of this
 document,  dissolved air flotation (DAF) is the recommended level of technology for
 discharge limitations within  the linen supply and industrial laundry  subcategories.
 The  above provision was presumed applicable  where treatability data for a  given
 toxic pollutant (Table 2) indicated that technology was ineffective in removing that
 pollutant where its influent concentration was low.

      Basis C - Under Paragraph 8(a)(iii), the Administrator  may  exclude from
 regulation  any  toxic pollutant   which  "will  be  effectively  controlled by the
 technologies   upon  which  are  based  other  effluent  limitations and guidelines,
 standards of performance, or pretreatment standards." This  provision  was  presumed
                                      A-l

-------
applicable where treatability data indicated that DAF technology reduced a given
pollutant  to an acceptable level.  As explained above, dissolved air flotation is the
recommended level of treatment for meeting discharge limitations in the linen
supply and industrial laundry subcategories.
                                      A-2

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                        TABLE 1


EXCLUDED TOXIC POLLUTANTS NOT DETECTED DURING ANALYSIS




                       TOXIC'POLLUTANT
 1.   *Acenaphthene
 2.   *Acrolein
 3.   *Acrylonitrile
 5.   *Benzidine
 7.   *Chlorobenzene
 8.   if2f4-Trichlorobenzene
 9.   Hexachlorobenzene
10»   l,2~Diehloro@than@
12.   Hexaehloroethane
13.   1,1-Dichloroethane
14.   1,1,2-Triehloroethane
15.   1,1?2f2-Tetrachloroethane
16.   Chloroethane
17.   Bis(chloromethyl) ether
18.   Bis(2~chloroethyl) ether
19.   2-Chloroethyl vinyl ether (mixed)
21.   2,4,6-Trichlorophenol
24.   *2-Chlorophenol
28.   3,3'-Dichlorobenzidine
29.   1,1-Dichloroethylene
30.   1,2-Trans-dichloroethylene
32.   1,2-Dichloropropane
33e   1,2-Dichloropropylene  (1,3-dichloropropene)
35.   2,4-Dinitrotoluene
36.   2,6-Dinitrotoluene
37.   *l,2-=Diphenylhydrazine
39.   *Fluoranthene
40.   4-Chlorophenyl phenyl ether
41=   4-=Bromophenyl phenyl ether
42.   Bis(2-ehloroisopropyl) ether
43.   Bis(2-chloroethoxy) methane
45.   Methyl chloride  (chloromethane)
46.   Methyl bromide  (brpmomethane)
47.   Bromofbrm (tribromomethane)
48.   Dichlorobromomethane
50.   Dichlorodifluoromethane
52.   *Hexachlorobutadiene
53.   *Hexachlorocyclopentadiene
56.   *Nitrobenzene
57.   2-Nitrophenol
58.   4-Nitrophenol
59.   2,4-Dinitrophenol

                          (continued)
                          A-3

-------
                       TABLE 1  - continued
                        TOXIC POLLUTANT
    60.    4,6-Dinitro-o-cresol
    61.    N-nitrosodimethylamine
    63.    N-nitrosodi-n-propylamine
    64.    *Pentachlorophenol
    72.    Benzo(a)anthracene (1,2-benzanthracene)
    73.    Benzo (a)  pyrene (3,4-benzopyrene)
    74.    3,4-Benzofluoranthene
    75.    Benzo (k)  fluoranthane (11,12-benzo£luoranthene)
    76.    Chrysene
    77.    -Acenaphthylene
    79.    Benzo(ghi)perylene (1,12-benzoperylene)
    80.    Fluorene
    82.    Dibenzo (afh)anthracene (1,2,5,6-dibenzanthracene)
    83.    Indeno (l,2,3-cd)pyrene (2,3,-0-phenylenepyrene)
    84.    Pyrene
    88.    *Vinyl chloride (chloroethylene)
    89.    *Aldrin
    90.    *Dieldrin
    91.    *Chlordane (technical mixture & metabolites)
    92.    4,4'-DDT
    93.    4,4'-DDE (p,p'-DDX)
    94.    4,4'DDD (p,p'-TDE)
    95.    A-endosulfan-Alpha
    96.    B-endosulfan-Beta
    97.    Endosulfan sulfate
    98.    Endrin
    99.    Endrin aldehyde
   100.    Heptachlor
   101.    Heptachlor epoxide
   102.   ,A-BHC-Alpha
   103.    B-BHC-Beta
   104.    R-BHC (lindane)-Gamma
   105.    G-BHC-Delta
   106.    PCB-1242 (Arochlor 1242)
   107.    PCB-1254 (Arochlor 1254)
   108.    PCB-1221 (Arcohlor 1221)
   109.    PCB-1232 (Arochlor 1232)
   110.    PCB-1248 (Arochlor 1248)
   111.    PCB-1260 (Arochlor 1260)
   112.    PCB-1016 (Arochlor 1016)
   113.    *Toxaphene
   127.    *Thallium (total)
*Specific compounds and chemical classes as listed in the
 Consent Decree.
                              A-4

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                   TABLE 2


EXCLUDED TOXIC POLLUTANTS  DETECTED IN WASTEWATERS
 Toxic Pollutant
 Basis for
Exclusion**
ABC
4. Benzene
6. Carbon tetrachloride (tetrachloromethane)
11. 1,1,1-Trichloroethane
20. 2-Chloronaphthalene
22. Para-chloro-meta-cresol
23. *Chloroform (trichloromethane)
25. 1,2-Dichlorobenzene
26. 1,3-Dichlorobenzene
27. 1,4-Dichlorobenzene
31. *2,4-Dichlorophenol
34. *2,4-Dimethylphenol
38. *Ethylbenzene
44. Methylene chloride (dichloromethane)
49. Trichlorofluoromethane
51. chlorodibromomethane
54. *Isophorone
55. *Naphthalene
62. N-nitrosodiphenylamine
65. *Phenol
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
78. Anthracene
81. Phenanthrene
85. *Tetrachloroethylene
86. *Toluene
87. *Trichloroethylene
114. *Antimony (Total)
115. *Arsenic (Total)
117. Beryllium (Total)
118. *Cadmium (Total)
121. *Cyanide (Total)
123. *Mercury (Total)
124. *Nickel (Total)
125. *Selenium (Total)
126. Silver (Total)
* Specific compounds and chemical classes as
Consent Decree.
X


X
X
X
X
X
X
X
X
X
X
X
X
X



X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
listed

** See Section IX (A) of this notice for explanation
exclusion designations.


X
X
X













X
X






X
X




X

•
X


X
x
in the

of lettered

                     A-5

-------

-------
             APPENDIX B



SURVEY OF THE AVAILABILITY OF SPACE

    FOR WASTE WATER TREATMENT

      AT INDUSTRIAL LAUNDRIES
              Prepared for

       Effluent Guidelines Division
  Office of Water and Hazardous Materials
   UoS. Environmental Protection Agency
         Washington, B.C. 20460
             November 1979

-------
                          INTRODUCTION
     A study  to  determine  the  availability of  space  for  the
installation  of equipment for treatment of industrial  laundering
waste water was conducted by the Jacobs Environmental Division of
Jacobs  Engineering  Group, Inc. under EPA Mission  Contract   No.
68-01-5767.   The study  consisted  of  a survey of  45  randomly
selected sites located in major metropolitan  areas of  the United
States.  The  sites were visited  to gather  information on plant
size, plant operations and waste water volumes and  to  assess  the
availability of space for waste water treatment.  Where space  was
not readily available, an estimate of the cost of preparing space
or acquiring new space was made.
1,0  PURPOSE
    • The purpose of this study was to provide  an estimate of the
percentage  of   industrial  l.aunderers  with   available  space,
interior or  exterior, for the installation of  treatment systems
and  to  provide a breakdown of costs expected to be incurred  by
facilities lacking readily available space.

     A worst-case cost estimate,  previously  prepared, indicated
that  costs for treatment of laundry wastes could be  prohibitive
if  space  for  equipment was not  available.   Since  input from
industry  sources   indicated  that  space  was   generally   not
available, it was evident that a site survey of the  industry was
necessary.


2.0  SURVEY APPROACH

2.1  Target Population: Linen Supply and Industrial Launderers


     The original design of the survey was to  encompass sampling
from Industrial  Launderers  (SIC  7218)  and  Linen  Supply (SIC
7213).  In order.to ascertain the composition and extent of these
two segments of the laundry industry,  reference was made  to two
sources;  e.g..  County  Business  Patterns  and  the  EPA  Draft
Development  Document for  Autos and Other Laundries.   Table 2-1
presents  the  total number of  U.S.  establishments  from  these
                             B-l

-------
TABLE 2-1.  REFERENCED NUMBER OP  ESTABLISHMENTS  IN  U.S.
           INDUSTRIAL LAUNDERERS  (SIC  7218)
                LINEN SUPPLY  (SIC 7213)
    Primary SIC
7213          7218
1167
1300
 913
1000
                                     Reference
                              County Business  Patterns,  1976
                              EPA  Dra-ft Development Document,
                              1978
                         B-2

-------
sources.

     It was recognized during the initial planning of  the survey
that the most  severe  economic  impact due to lack of space  for
treatment  systems  would more  likely  occur in metropolitan  or
land-congested areas. Therefore, a decision was  made to initiate
the  survey in concentrated  metropolitan  centers.   It was also
felt  that industrial  launderers  and  linen suppliers would  be
found to be located  near  these  centers  approximately  to  the
degree that population is concentrated.

     The Standard Metropolitan Statistical Area (SMSA) was chosen
as  the geographic unit on which  to base the sample design.   It
has  been  estimated  that  at  least  75  percent  of  the  U.S.
population is located  within  SMSAs.  For  a given  metropolitan
area,  an  SMSA may  include  a more representative cross section
than  units  having   political  boundaries  such  as  cities  or
counties.               '

     Since a major component  of survey costs for this study  was
travel to the SMSA rather than travel within a metropolitan area,
the  five largest SMSAs which include the cities of New York, Los
Angeles,  Philadelphia, Chicago,  and  Detroit  were  chosen  for
survey.  This provided sampling of laundries in areas of heaviest
population concentration  while covering the largest fraction  of
the laundry industry for a given number of trips.

     Since it was necessary to formulate a survey design and plan
which  would encompass all industrial .launderers and linen supply
including   those  not   having  SIC  7218  or  7213  as  primary
classifications, the sampling frame was based on information from
two  sources:   telephone directory  yellow  pages  and  Dun  and
Bradstreet Market  Identifiers  data  base.   Both  sources  were
required because little  overlap was  found to exist between  the
two sources.  Table 2-2  shows the state of  knowledge concerning
establishments in these two industries.

     It can  be seen  from the above table  that  one  industrial
laundry or linen supply in seven  (14.2%) is located in one of the
five .largest SMSAs »


2.2  Target Populations  Industrial .Laundries


     During the course of the study, emphasis was directed toward
industrial  laundering  as  the   target  population   since  this
industry generates larger pollutant  loads  and is more likely to
be regulated.  Since many linen supply  establishments also  have
industrial  laundering as a  secondary or  other  SIC  operation,
however,  linen  supplies were  not  excluded  from   the  list of
potential survey sites.
                             B-3

-------
TABLE  2-2.
NUMBER OF ESTABLISHMENTS* IN FIVE LARGEST STANDARD
    METROPOLITAN STATISTICAL AREAS
   INDUSTRIAL LAUNDERERS  (SIC 7218)
        LINEN SUPPLY  (SIC 7213}
Standard
Metropolitan1 Duns
Statistical
Area Id
New York
Los Angeles
Philadelphia
Chicago
Detroit
Subtotal
Remainder of U.S.
In SMS A -
Outside SMSA
National Total
t Brad street
Market
lentifiers
118
75
45
60
53
351
1414
705
2470
Telephone Both D&B Net
Directory and Composite
Yellow Yellow Sampling
Pages Pages Frame
11.7 72 163
88 26 137
79 22 102
69 29 100
64 . 27 90
417 176 592


. '
* Establishments which declare SIC 7218 or SIC 7213 as primary
.  through sixth Standard Industrial Classification to D&B
  Marketing Services.
                            •B-4

-------
      Because the target population  consisted  of  both telephone
 directory listings and Dun & Bradstreet data with little overlap,
 and  since  there  was  no  way  to  classify telephone listings,
 estimates of the number of industrial laundry establishments were
 made  by  using the   fraction  previously  indicated  for  Dun  &
 Bradstreet.  Table 2-3 shows these estimates.

      It can be seen that  from   this  estimate  approximately  18
 percent of all U.S. industrial   launderers occur in  one  of  the
 five largest SMSAs.
 2.3  Site Selection
      To  assure  that all   industrial  laundering facilities  were
  included  in  the  target population  for potential site surveys, the
  total  known  list of facilities  in both SIC 7213 and SIC  7218  in
  the  five  SMSAs  was used  for  the  sampling frame. Facilities were
  numbered,  and,  from a list of  random numbers,  .were assigned  an
  order  from which to be chosen  to be surveyed.

      Through telephone contacts,   sites were either scheduled for
  survey visits  or eliminated  from  the survey.  When requested,
  Section   308 letters were  sent to  scheduled sites.  The following
  criteria  were  used for scheduling  sites:
"7T'"5
a)  Must not be a small operator; must have
    at least ten employees.
                 b)   Must  have industrial  laundering  as at least
                     ten percent of plant  operation.


       Table °2-4  shows  the number  of sites contacted  and scheduled
  for   survey.  Los  Angeles   sites  were randomly   selected  and
  contacted   from  telephone  directory listings  before  Dun  and
•  Bradstreet listings were available.


  2.4   Site  Survey
                      .•

       For consistency,  a  survey form was  developed for  use by the
  field survey personnel.  The form includes  information regarding
  plant production, waste  water generation  existing  treatment and
  space  available  for  treatment units.   A   copy of the form  is
  attached.   In addition to  completing the forms, survey personnel
  prepared diagrams indicating potential   locations   for  treatment
.systems.

       The treatment system  for  which  space   requirements  were
                              B-5

-------
      TABLE 2-3,   NUMBER OF INDUSTRIAL LAUNDERERS* IN FIVE
                   LARGEST SMSAs.  (SIC 7218)
   Standard
 Metropolitan
 Statistical
Dun & Bradstreet
     Market
   Identifiers
  Net
Composite
Sam pi ing
  Estimated
  Industry
Total Number
«i <=d
New York
Los Angeles
Philadelphia
Chicago
Detroit
SIC 7218
and
SIC 7213
118
75
45
60
53
SIC 7218
only
35
27
15
29
26
ti k W&ttVS
163
137
102
100
90
(SIC 7218
48
49
34
48
44
^A>4Uft^&A *•
only)





     Subtotal     351

Remainder of U.S.
In SMSA          1414

Outside SMSA      705
             132


             419

             185
   592
    223


    708

    312
National Total   2470
             736
                 1243
                                                                        Jl
* Establishments which have SI 7218 as primary through si^th
  Standard Industrial Classification.
                              B-6

-------
       TABLE 2-4*  NUMBER OP LAUNDRY SITES CONTACTED
                       AND SCHEDULED
SMSA
  Composite
Sampling Frame
Contacted
Scheduled
New York
Los Angeles
Philadelphia
Chicago
Detroit
163 .
137
102
100
90
93
28
43
44
42
14- .
12 .
. 9
8
.7
   Total
      592
    250
   50
                          B-7

-------
developed  is system  la: equalization followed by dissolved  air
flotation (DAF) «,  The following units and equipment are included?

               o  equalization tank (above or below grade)

               o  dissolved air flotation (DAP)

               o  sludge handling or vacuum filtration unit
                  (only necessary for-flows over 48,000 gpd)'

               o  chemical storage


     Table 2-5 presents space requirements for this system for  a
range of industrial laundry waste water flows.   For  sites where
other operations take  place, i.e.,. linen supply, diaper service,
etc., only the flow from industrial laundering was considered for
treatment.   •       ...      .  .

     Where adequate  space, was  not readily  available inside or
outside  a   laundry  facility,  the  possibility  of   relocating
equipment to provide space was examined.  Where no space could be
provided, the  possibility of acquiring adjacent property foe  the
location of  treatment equipment was examined.

     Although  SO  sites were scheduled, only 45 were successfully
surveyed. Once the  survey personnel were in the field, two sites
were  found  t©  not  fit the required  criteria? i.e.,  did  not
conduct  industrial  laundering  despite telephone confirmation of
such,  and three  sites  refused  admittance  despite  receipt of
Section  308 letters.   Table 2-6  shows  the breakdown of  sites
visited  and  actually surveyed.


3.0 SURVEY  RESULTS


     Tables  3-1  through   3-5  present  data on  individual sites
surveyed  in  the  five SMSAs.

     The following  items are  presented in the  tabless

     o   Number of employees - total number of  plant employees
         including office staff and drivers.

     o   Percent  industrial — where other operations take place
         at the same  facility, this figure represents the
         percent  of total production  (pounds per year)
         attributed  to industrial laundry.

     o   Industrial  production - pounds per year processed.
                             B-8

-------
         TABLE 2-5.   SPACE REQUIREMENTS FOR TREATMENT OP
                INDUSTRIAL. LAUNDERING WASTE WATER
    Industrial  Laundering
   •  Waste Water Flow
   Space Requirement
for Treatment (sq.ft.)*
           2,400
           4,800
           7,200
           9,600
          14,400
          24,000
          36,000
          48,000
          72,000
          96,000
         120,00.0
         135,000
         150,000
         250,000
           40
           54
           70
           84
          105
          107
          160
          200
          250
          300
          400
          450
          500
          800
* Assuming equalization tanks below grade,
                            B-9

-------
TABLE  2-6„   INDUSTRIAL LAUNDERING SITES SCHEDULED
               AND SURVEYED  (SIC  7218)
           asssssaasssBaaassBaasssssaasSssssssssass
SMSA
New York -
Los Angeles
Philadelphia
Chicago
Detroit
Totals
Number of
Sites
Scheduled
14
12
9
3
7
50
Sites Elimi-
nated in
Field
1


1 •

i« ma.
2
Number of
Sites Refusing Sites
Admittance Surveyed
2 11
12
1 ' 8
7
7
3 . 45
                                                                       Jl
                         B-10

-------
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                                                                    Q

-------
    o  Industrial waste water flow - volume of. waste
       water attributed to industrial production.  Where
       flow was not known, it was assumed to be proportional
       to industrial production.

    o  Separate streams - where other operations take place,
       existence or not of. segregated waste flows was
       identified*
                                       (1)
    o  Existing treatment - equalization, dissolved
       air flotation.(2)

    o  Equalization capacity - where equalization exists,
       the capacity is presented.

    o  Required equipment - an identification of
       which units would be required at each site.  Where
       equalization already exists but is not of sufficient
       capacity or could not be used because of mixing with
       other wastes (i.e., linen wastes), it is indicated as
       being required.  Note;  Most sites in Chicago have
       treatment  in place  for industrial  laundry wastes due to a
       recent municipal regulation.  Required treatment units
       in the table reflect units added as a result of local
       regulations.

    o  Space available - indicates interior or exterior

    o  Cost  items — an identification of  specific cost
       items related  to tlie location of a treatment system.
       The items  include:.

       3- - housing required  for exterior location,

      , 4'— interior modification required  such as
      -••-  relocating  equipment or  interior constraints
          to excavation,

       5  - acquisition of additional property,

       6  - relocation  of  facility when no  adjacent land  is
          available.

3*1 Cost Estimates


     Following  the  survey, the  costs for making  or   acquiring
space   for  each  site not having   readily  available space were
developed.

     o  Housing  — at  $25 per square foot,  construction of an
        enclosure  to  house  a.DAP unit.
                            B-16

-------
     o   Equipment  relocation - all but one site requiring
         relocation were  for minor equipment.  One site in
         Chicago  required  relocation of major equipment and the
         cost  estimate  is  from plant management.  For sites where
         interior excavation would be required, an estimate of
         excess labor costs was made based on excavation volume.

     o  -Acquisition of additional-property - only one site
         required such.  An estimate of property values in the
         area  was obtained 'from local authorities,,

     o   Relocation of  facility - one site, surrounded by streets,
     	could not  acquire additional space.  No cost estimate was
         made  for relocating should it be required.
      Table 3-6 -  summarizes  the  survey   findings  by  the  type of
 locational costs to  be  incurred by sites  in each SMSAC

      Table 3-7   presents  the   estimated  costs  to be incurred by
 surveyed   facilities without   readily available   space.   Also
 included  in the   table  are estimated  capital  costs of treatment
 for  each   facility as presented in   the development document, and
 the  subsequent percent,  increase in   that  cost due to  additional
 locational costs.

      Not  included in the  cost   estimates  for any facilities  are
.costs, for  segregating  waste streams or the  additional  cost for
 placing equalization tanks below grade.  The cost of segregating
 industrial laundry wastes where other  operations take place would
 be  minor, but could hamper operations at some small facilities.
-The  additional cost  of  below grade equalization is estimated at a
 maximum of 10 percent   of the cost of   an equalization tank above
 ground.

i
 3.2   Statistical Analysis of Survey  Results

                      •
      From the random sample of  the five largest SMSAs, confidence
 interval  estimates were computed  for the  fraction of the industry
 which is   expected to be  impacted by  locational costs for  waste
 water treatment.
      Stratified sampling parameters for each  of   the   five  SMSAs
-were-g-iven  in Table  2-3.    Results of the  survey were given   in
 Table 3-6.  For the  purpose of interval estimates,  those data  in
.Table  3-6  are recapped  in.  Table  3-8  in terms of   extensive,
 moderater   or   no   cost    impact   traceable    to   locational
:considerations.

      Using standard  stratified  sampling  estimation   techniques
                             B-17

-------
  TABLE 3-6.  SUMMARY OP  PROVISIONAL COSTS FOR INDUSTRIAL LAUNDERERS
              1  TO ACCOMMODATE WASTE TREATMENT SYSTEMS
                               Modifications Required
SMSA Number
Faeilitie
Iff tsl 4m ^i
vi si tea
NY 11
LA 12
Phil. 8
Detroit 7
Chicago 7
Survey
Total 45
Average
per
Laundry
ts None Int
Minor
4 2 ($2, 000)
12
2 2($11,000)
1 2 ($8, 500)
1 1($5,000)
20 7
($26,500)
. $3790
erior Exterior
Facility
Ex ten- Land and Rel oca-
si ve. Housing Housing tion
3 ($13, 500) 1 ($35, 400) (1) —
•
4 ($38, 700)
4($57,000) .
1 ($100,000)4 ($47, 900)
1 15 .1 (1)
($100,000) ($157,000) ($35,400) ' —
$100,000 1, $10,1500 $35,400 —
(1)
     No cost estimate made.
                                  B-18

-------
           TABLE 3-7.  INCREASE IN CAPITAL COSTS DUE TO
                    ADDITIONAL LOCATIONAL COSTS
 Facility
•-N-3-—
 N-4
-N-5---
 N-6
 N-7 -
 N-9
 N-ll
 P-l
 P-2
 P-3
 P-4
 P-5
 ,p-7 ...
 C~l
 C-2
 C-4
 C-5
 C-6
 C-7
 D-l
 D-2
 D-3
 D-4-.-
 D-5
 ..D-6- .
Industrial
Plow (gpd)
Approximate
Capital Cost
of Treatment
Additional
Locational
   Cost
 Percent
Increase of
 Cap. Cost
68 r 000
10,600
2,500
8,000 '
2,000
8,500
2,500
28,000
20,000
60,000
75,500
20,000
14,000
30,000
150,000
20,000
40,000
45,000
76,000
250,000
135,000
16,000
15,000
70,000
6,000
160,000
52,000
33,000
45,000
35,000
46,000
38,000
95,000
73,000
150,000
165,000
73,000
58,000
100,000
215,000
73,000
120,000
130,000
165,000
280,000
208,000
60,000
58,000
160,000
43,000
*-
7,350
3,750
35,400
2,400
1,000
1,000
10,000
7,350
14,000
8,500
. 2,500
7,350
10,000
100,000
5,000
10,900
10,900
16,100
31,250
7,500
7,500
. 1,000
14,000
4,400
*
14
10
79
7
2
3
10
10
9
5
3
13
10
46
7
9
8
10
' 11
4
12
2
9
10
 * This site had no space and could not acquire adjacent
   land.  No cost estimate was made.
                              B-19

-------
TABLE 3-8.  SUMMARY OF SAMPLE PROPORTIONS AFFECTED BY SPACE
REQUIREMENTS FOR EFFLUENT TREATMENT SYSTEMS  (SIC 7218 ONLY)
                                     Locational Costs
SMSA Stratum
Size
NY 48
LA 49
Phil. 34
Chicago 48
Detroit 44
Subtotal 223
Remainder
of U.S. 1020
Total 1243
Sample
Size
11
12
a _
7
7
45


Sampl ing. . None
Fraction
.229 4
.244 12
.235 2
.146 1
.159 1
.202 20


Moderate
5
0
6
5
6
22

•
Extensive
2
0
0
1
0
3


                          B-20

-------
based upon correction factors for finite strata f one obtains  the
following statistics:

          p  =*  0.0699; estimated fraction of fives SMSAs
                with extensive locational costs.

          s  »  0*0370; standard error of estimate p

          T  »  16; estimated number of laundries out of
                223 with extensive locational costs.
     The estimate p,  above,  is  the  point  estimate.  Assuming
normal approximation- to the sampling  distribution of  p, one can
calculate an upper confidence limit  for Pj the  fraction of  the
five SMSAs affected.  Since confidence intervals depend upon  the
degree of, confidence specified, the following  alternate interval
estimates are obtained:

             Pr(0 


-------
       small as well as large facilities.


    «  Aooroxiraately seven percent of the industrial
       llSndry facilities iS the five SMSAs will incur   •

       extensive locational costs.
                                               4

    a  Aooroximately 93 percent of the  industrial laundry

       facilities  in the  five SMSAs will  incur zero to

       moderate locational costs.








and that  nationwide, this impact may be  even less.
>l
                              B-22

-------
                                                      Date of Visit_
                                                      Personnel 	
                             LAUNDRIES STJKVKX1 FORM
Name of Facility:_

Address:
Telephone s_

Contact:	

Titlet
1.  Classification of'Primary Business

    SIC 7213 Linen Supply

    SIC 7218 Industrial Laundry

2.  Plant Operation

    a.  Total number of Employees

    b.  Hours of Washroom Operation

    c.  Days/Yr. of Washroom Operation.
3.  Processes Used  Approximate number of pounds processed annually

    a.  Water Wash Only

    b.  Dual-Process                                        '   ,,_„___

    c.  Dry Cleaning Only                                      ___

4.  anrmal. Plant Production:
    a.  annual Poundage Processed

        X.  Percent Linen Supply.

        2.  Percent Industrial

        3.  Percent Other
            (Family, Institutional, Diaper Service, Etc.)

        4.  Have you had any recent increases or decreases in
            the percent of Industrial Laundry handled?
            How much? (past year)
                                     B-23

-------
        5.  Do you have the capability to handle future increases
            in the percent, of Industrial Laundry?              __
            How ouch?                                          _•
5.  Water Usage and Flow Patterns

    a.  Hater Source

        1.  City

      ^ 2.  Well

^      3.  Other

    b.  Estimate of daily water use for laundering
        Source  {meter reading, water bill, guess, etc.)

    e*  Peak washwater  flow in gallons  per minute
        Source  (sanitary distric  surcharge, meter reading,  ete).

    d.  Duration of peak flow

    e»  Pattern of flow	     '	________«	
LS
XL
             •  GPD
              GPM
 6.  Effluent Discharge

     a.   If both, Linen Supply and Industrial Laundering are dones

         1.  are wastewater streams separate?          o        _

         2.  If not, how.can this be accomplished?
     b.  Method of Discharge

         1»  To- municipal sewer connection

         2.  Directly to surf ace water

 7.  In-Plant Controls

     1.  Lint screen

     2.  Catch, basin or sump  {.size)
                                      B-24

-------
    3.  Screen at bottom of catch, basin

    4.  Heat Reclaimer

    5.  Other (specify)
8.  Wastewater Treatment

    a.  Is wastewater treatment practiced?

    b»  If "yes", please describes	
    c.  Is wastewater  recycled?

        1.  What percent?

    Space Availability

    (Please diagram all areas)

    a.  Readily available space (clear, unused areas)

       • 1.  Location (interior, 'exterior, basement, roof, etc.).
        2.  Distance from washroom equipment or available tank

            Distance from sewer connection
        3.  availability of power and distance from power supply

            availability of lights

            Availability of heat          .                     __

        4.  Will housing be,.necessary?-  .--: • ±.-.-*-* "•." .^-. ... J:'---.^
     b.   If space is not readily available, then existing space, that could.Be
         made available.    -'                .                               . ..
         1.   Location  .    •     ;

         2.   Distance from equipment and sewer

                                       B-25
                                                                   ':-^r--" ••;. •-•'T^S^ilS

-------
      3.  Availability'of utilities and distance from power supply.

      4.  Necessary modifications  (briefly describe)

          a.  Movement of light equipment        	
          b.  Movement of heavy equipment^

          c.  Breaking through concrete

              Walls

              Floor
          d.  Can equipment necessary for performing'
              modifications gain access to the area
)\
              If not, what will have to be done to permit access
          e.  How will implementation of modifications--impact
              plant operation?
          s^~a«^^
          f.  Will housing of equipment be necessary?
   c.  If no space is available,tthen, space that can be. acquired;

       1.  Renting        »       ,
3
           Leasing
          •or Purchase           ,

           a.  Location

           b.  Distance from equipment and sewer

           c.  Availability of utilities

10* Summary of Cost. Xtmes (piping, reinforcements, etc.!
                                   B-26
                                                                           jmyrnvag gjy?',^'_

-------
                                 APPENDIX C
               LAUNDRY WASTEWATER TREATABILXTY DATA
     In the following tables, C-l through  C-20, treatability data  for the various
systems described in Section 7 are given:

     o    The data  in  Tables  C-l through  C-6 are given for industrial laundries
          utilizing calcium choride coagulation and DAF.

     o    The data  in -Tables C-7  through C-ll are given for Linen supply and
          commerical  laundries   utilizing  polyelectrolyte  coagulation,   DAF,
          filtration and wastwater recycle.

     o    The data  in Tables  C-12 and  C-13 are  given  for an  industrial laudnry
          utilizing alum coagulation, DAF, filtration, and wastewater recycle.

     o    The data  in Tables  C-l* and  C-15 are  given  for an  industrial laundry
          utilizing ferrous sulfate coagulation and DAF.

     o    The data  in Tables C-16 and C-17 are given for a linen laundry utilizing
          ferric sulfate coagulation and DAF.

     o    The data in Tables C-l 8 and C-19 are  given for  a service  laundry which is
          a direct,  discharger.  The treatment  system utilizes  alum coagulation,
          clarification,        carbon        adsorption,       filtration       and
          chlorination/dechlorination.

     o    The data in Table C-20 is given for an industrial laundry utilizing calcium
          chloride coagulation  and DAF.
                                        c-1

-------
  TABLE C-l PLANT A
Concentration, mg/1
Qty
Pollutant Water
COD
TOC
TSS
Oil and grease


Phosphorus
Antimony
Arsenic
Cadmium
Chromium
Copper
Lead
Nickel
Selenium
Thallium
Zinc
Cyanide
Phenol (total)
Benzene
Carbon tetrachloride
1,1, 1-Trichloroethane
2,4,6-Trichlorophenoi -
Chloroform 0.0008
Dicnlorobenzenes
2,4-Dimethylphenol -
Ethylbenzene . . ' - -
Methylene chloride 0.007
Dichlorobromomethane 0.003
Naphthalene . -
Pentachlorophenol
Phenol
Bis(2-ethyihexyl)phthalate 0.018
Butyl benzyl phthalate
Di-n-Butyi phthalate 0.0007
Di-n-Octyl phthalate . - >
Anthracene/phenanthrene - *
Tetrachloroethylene ' 0.010
Toluene 0.0 10
Trichloroethylene
Influent
6,400
1,700
390
S31
869
515
596
* 4-1.6
0.09*
0.010
0.11
0.48
1.5
4.8
0.35
iO.OOl
< 0.040
3.7
0.057
0.78
0.003
0.002
0.018
0.0007
1.1
0.46
0.025
0.002
.9
0.098
1.2
04 t
.31
0.092
0.15
0.38
0.32
0.36
0.004
Effluent
3,200
690
98
144
149
125
155
1.7
< 0.010
0.002
< 0.002
0.27
0.50
0.13 -
0.25
0.002
0.050
0.23
0.054
0.76
0.005
0.001
0.014
0.003
0.0008
0.26
0.04*
0.002
Ostt.
• ot
0.027
0.042
0.22
0.019
0.033
0.066
0.33
0.38
0.006
C-2

-------
TABLE C-2. PLANTS
Concentration mg/1
Pollutant
PH
COD
TSS
Oil and grease
Antimony
Arsenic
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Thallium
Zinc
Phenol (total)
Chloroform
Ethylbenzene
Methylene chloride
Dichlorobromomethane
Isophorane
Naphthalene
N-Nitrosodiphenylamine
Phenol
Bis(2-ethylhexyl)phthalate
Di-n-Butyl phthalate
Diethyl phthalate
Tetrachloroethylene
Toluene
Trichloroethylene
City
Water
7.0



<0.020
<0.010
0.005
<0.050
<0.025
<0.010
< 0.0002
< 0.050
0.002
0.055
• .
0.030
-
0.020
0.015
-
-
-
—
1.2
0.005
0.005
0.007 ,
-
-
Influent
11.6
3,800
700
440
0.041
0.012
0.017
0.27
1.6
9.4
0.002
0.15
<0.005
4.5
0.016
0.010
0.26
0.54
-
0.19
4.0
1.8
0.60
-
•
-
0.88
0.75
0.21
Effluent
7.0
1,300
48
190
< 0.020
< 0.010
0.023
S.0.13
0.33
0.23
< 0.0002
< 0.050
< 0.005
0.20
< 0.001
0.008
0.11
0.50
—
-
0.79
0.62
0.12
-
0.29
-
1.0
0.79
0.030
         C-3

-------
TABLE C-3. PLANT C
Concentration, mg/1

Pollutant
-pH - 	
IT
COD
tss
Oil and grease
Antimony
Arsenic
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Silver
Zinc
Phenol (total)
Chloroform
Ethylbenzene
Methylene chloride
Dichlorobromomethane
Naphthalene
Phenol
Bis(2-ethy IhexyDphthalate
Tetrachloroethylene
Toluene
City
water
7.3



<0.020
0.011
<0.002
<0.050
<0.025
<0.010
< 0.0002
<0.050
<0.015
<0.025

0.017
0.005
-
0.007
M
0.22
0.020

Influent
.11.3
3,200
520
760
<0.025
"0.013
0.05*
1.2
1.2
4.4
0.001
0.050
<0.029
"2.6
Oe028
0.035
1.0
0.11
~
0.10
0.084
2.*

Effluent
8.S
1,200
64
170
<0.020
0.012
<0.002
0.62
0.34
0.067
< 0.0002
<0o050
<0.015
< 0.068
0.56
0.009
0.97
6f\
.0
=.
0.48
0.10
0.005
24
el
          C-4

-------
TABLE C-4.  PLANT D
Concentration, mg/1

Pollutant
PH
BOD ^
COD
TOC
TSS
Oil and grease
Antimony
Cadmium
Chromium
Copper
Lead
Nickel
Zinc .
Cyanide
Benzene
Ethylbenzene
Bis(2-ethylhexyl)phthalate
Tetrachloroethylene
Toluene
City
water
7.7
<2
<5
2
<5
<5
<0.10
< 0.001
0.010
0.026
< 0.020
<0.01
0.09*
-
0.0*0
- .
-
-
0.010

Influent
11.7
2,*00
7,100
1,800
9*0
1,600
0.16
0.070
0.98
1.7
5.*
0.08
2.7
0.28
0.13
17.5
2.6
0.030
2.6

Effluent
9.3
1,000
2,000
500
100
230
0.31
0.003
0.57
0.15
0.11
-
-
0.29
0.20
-
1.0
0.98
0.90
         C-5

-------
TABLE C-5. PLANT E
Contration mg/1

Pollutant
BOD-
COD3. 	 	
TOG
TSS 	
Oil and grease
Phosphorus
Antimony
Arsenic
Cadmium
Chromium
Copper
Lead-
Mercury
Nickel
Silver
Zinc
Cyanide
Phenol (total)
City
water
•
.

<20

„
-
0.005
<0.005
0.050
<0.020
<0.0001
<0.005
<0.001
<0.060
<0.050


Influent
1,700
4,900
460
900
230
13
0.12
0.011
0.060
0.30
i.O
3.0
<0.003
"0.080
0.008
2.0
0.2*
.0.10

Effluent
5*0
1,100
270
18
8*
23
0.029
-
<0.002
0.10
0.20
0.070
0.002
<0.005
0.019
0,060
0*53
0.32
         C-6

-------
                                                         5
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o

I
                a
               a
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                                                                   «
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               1
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                               §
                               c?
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I

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                                               U
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-------
                                                  K
           S
                    leemoegoooeoogoee   i  i i   o 1000 to
         5

         I
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                   MM ooo
-------
TABLE C-8. PLANT H
Concentration, mg/1
Pollutant
pH
BOD-
COD^
TSS
Oil and grease
Cadmium
Chromium
Copper
Lead'
Nickel
Zinc
Phenol (total)
Chloroform
Methylene chloride
Dichlorobromomethane
Phenol
Bis(2-ethylhexyl)phthalate
Toluene
City
water
7.1
<6 .
2
<1
36
0.0003
<0.010
0.005
<0.003
<0.010
0.16
<0.001
0.006
0.007
0.008
_
-
0.007
Influent
10.9
850
2,*00
250
*30
0.010
0.060
0.15
0.11
0.025
0.43
0.13
0.020
-
-
0.030
9.0
0.025
Effluent
11.0
900
2,600
2SO
220
0.007
0.20
0.19
0.21
0.0*8
0.56
0.16
0.028
-
_
0.0*8
0.80
0.01*
          c-a

-------
TABLE C-9. PLANT I
Concentration, mg/1
Pollutant
pH
r ,
COD5
Oil and grease
Antimony
Cadmium
Chromium
Copper
Lead
Mercury
Nickel
Zinc
Phenol (total)
o
Chloroform
Methylene chloride
Bis(2-ethylhexyl)phthalate
Toluene
City
water
7.4
<5
96
30
<0.002
0.0002
0.025
0.030
0.001
0.008
0.010
0.010
<0.001
0.020
-
0.020
0.017
Influent
9.9
780
1,700
400
0.014
0.003
0.038
0.095
0.038
<0.0005
<0.010
0.17
0.26
0.18
0.035
; 0.080
Effluent
9.6
820
490
110
0.010
0.003
0.015
0.070
0.047
<0.0005
<0.010
• 0-.065
0.055
0.022
0.030
0.040
          C-10

-------
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                            S
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                            v   v  v
                  S  I  S
O  O  G  O  O  O
v  v  v     S  v
                                                   u
                                        C-ll

-------
TABLE C-ll.  PLANT
. Concentration, mg/I
City
Pollutant water
Oil and grease



BOD,
5


COD
TOC
TSS
Phosphorus
Cyanide (total)
Phenol (total)
Antimony
Cadmium
Chromium
Copper
Lead
Nickel'
Silver
Zinc
1,1,1-Techloroethane
0



I



<10
2.5

-------
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                                                                             u
                                                                             
-------
         TABLE C-13. PLANTK
(Data obtained from equipment manufacturer)


BOD
COD
Oil and grease
pH
Chlorine as Cl
Total dissolved solids
Total suspended solids
Volatile dissolved solids
Volatile suspended solids
Mercury
Cadmium
Lead
Sulfate, as SO^
Arsenic
Cyanide
Phenol
Total coliform, per 100 ml
Color, APHA color units
Carbonate, as CO3
Silicate, as 510$.
Calcium
Iron
Aluminum
Nickel
Zinc
Chromium
Total organic carbon
Copper
Antimony
Alkalinity as CaCOj
Ammonia nitrogen, as N
Nitrate nitrogen, as N
Sodium
Carbon dioxide, as CO2
Concentration, mg/1
Influent
180
1,290
175
10.64
<0.01
3,558
51
712
20
0.0010
0.02
OolO
1,590
<0.05
<0.01
0.046
<1
40
324
145
21
1.2
90
0.05
1.0
0.038
323
0.38
0.6
632
3.6
0.74
1,560
<0.1

Effluent
63
714
11
7.06
<0.01
3,650
16
409
3
<0.0005
<0.01
<0.01
2,330
<0.05
<0.01
0.033
<1
10
O ,09 A
78
23
0.38
1.7
<0.01
0.50
0.012
227
04 1
.13
0.6
97
3.7
0.83
1,540
16
                   •C-14

-------


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-------
                                 TABLE C-18.  PLANT N
r
Concentration, mg/1
Pollutant
TOG
TSS
BOD-
COD^
Cyanide
Phenol
Antimony
Arsenic
Beryllium
Cadmium
Chromium
Copper
Lead
Nickel
Zinc
City
water



0.020
0.005
0.005*
<0.001
<0.002
<0.005
0.080
0.070
<0.005
0.060
Raw
wastewater
5*
2*0
62
232
0.020
1.9
0.0025
0.017
< 0.001
0.0*0
0.009
0.0009
0.30
< 0.005
0.30
Clarifier
effluent



0.020
53
0.0025
0.012
<0.001
0.060
0.0*0
0.001
0.080
<0.005
0.70
Filter
effluent
1*
22
19
85
0.020 .
7
0.0063
< 0.001
0.008
0.050
0.000*
' 0.030
< 0.005
0.60
                                         c-ia

-------
TABLE C-19^ PLANTN
               Concentration, mg/1
Pollutant
Oil and grease


BOD
5


COD
TOC
TSS
A Ww
Phosphorus
Cyanide (total)
Phenol (total)
Cadmium
Chromium
Copper
Lead
JtoW<*^»
Nickel
Silver
Zinc
Phenol
1,1,2,2-Tetrachioroethane
Chloroform
Methylene chloride
Dichlorobromomethane
Chlorodibromomethane
Pentachiorophenoi
Phenol
Bis(2-ethylhe3cyl) phthalate
Butyl benzyl phthalate
Di-n-Butyl phthalate
Di-n-Oetyl phthalate
Diethyl phthalate
Tetrachlproethylene
Toluene
Trichloroethyiene
Raw
wastewater
17
7
20
16
157
137
215
143
240
63
40
7.0
< 0.002
0.038
0.051
0.039
0.138
0.071
0.055
0.01*
0.609
0.0018
*"
•-
«
0,0006
-
. •
0,002
0..005
0.0005
Clarifier
effluent
7
1
5
3
60
*5
89
3*
125
*0
46-
1.6
< 0.002
0.-028
0.012
0.034-
0.031
0.066:
0.050
0.011
0.24*
0.002
0.07
0.03S
a.
-
0.002
0.067
0.36
0.007
0.005
0.10
0.003
0.012
Carbon
effluent
12

2
50
30
*5
17 '
136
38
78
2.0
< 0.002
0.029
0.015
0.036
0.0*2
0.065
< 0.036
0.007
0.212
0.001
0.018
0.003
• • "
•
0.003
Q.Q01
0.023
0.017
0.005
• 0.00*
0^032
0.00*
0.005
Filter
effluent
3
0
Q
o.
*1
11
2*
15
59
21
fOfi
37
• 0.9
<0.002
0.013
0.01*
0.025
0.032
0.031
0.037
0.007
0.24*
QArtrt^1
.0007
0.095
Ort \ rt
• u XW*
*
»-.
0.016
0.004-
0.003
0.002
0.031
0.006
0.003
           C-2Q

-------
s
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