EPA CERI-89-243
                  States
                  imental Protection
Center for Environmental
Research Information
Cincinnati OH 45268
                  ilogy Transfer
             CERI-89-243
               beminars—
               Wastewater Treatment
               Plant Toxicity Evaluation,
               Reduction and Control
               Presentations - Volume I
               November 16-17, 1989
               Cincinnati, OH

               December 7-8,1989
               Chicago, IL

               January 18-19, 1990
               San Francisco, CA

               March 1-2, 1990
               Jacksonville, FL

               March 15-16, 1990
               Dallas, TX

               May 24-25, 1990
               Boston, MA

               June 7-8, 1990
               Charlotte, NC

               June 21-22, 1990
               Trenton, NJ

               July 19-20, 1990
               Baltimore, MD

-------
            VOLUME I
U.S. ENVIRONMENTAL PROTECTION AGENCY
  SEMINAR ON WASTEWATER TREATMENT
     PLANT TOXICITY EVALUATION,
       REDUCTION AND CONTROL
            November, 1989

-------
                                          VOLUME I
                                    TABLE OF CONTENTS
Water Quality Based Control of Toxics in NPPES Permits	1
John Cannell, USEPA
SESSION 1 - TOXICITY REDUCTION
Toxicity Identification Evaluations
       Phase I - Toxicity Characterization Procedures ....
       Phase II - Toxicity Identification Procedures  	
       Phase III - Toxicity Confirmation Procedures	
       Facilities,  Equipment, and Laboratory Requirements
Donald Mount, USEPA
-1
-3
-15
-25
-39
TRE Industrial Protocol - Case Examples  	  1-48
       Metal Finishing Industry	  1-51
       Government Arsenal 	  1-57
       Chemical Industry Treatment Facility	  1-60
       Multipurpose Spcialty Chemical Plant	  1-66
William Clement and G. Mick DeGraeve, Battelle
TRE Municipal Protocol - Case Examples	  1-70
       Patapsco Waste Water Treatment Plant  	  1-87
       Mount Airy, North Carolina	  1-105
       Falling Creek Wastewater Treatment Plant	  1-108
Fred Bishof, USEPA and John  Botts, Engineering Science and Richard Dobbs, USEPA


Trealability Database  	  1-124
Glen Shaul, USEPA, Richard Osantowski and Stephanie Hansen, Radian Corp.


SESSION II - SPECIFIC TOXICANTS CONTROL

Categorical Pretreatment and Local Limits	  II-l
Steve Bugbee, John Cannell, and Claudia O'Brien, USEPA
Toxicily Reduction in Industrial Effluents  	  11-17
       "Metals Distributions in Activated Sludge Systems"
       from the Journal Pollution Control  Federation  	  11-39
James W. Patterson, Patterson & Schafer

-------
WATER QUALITY BASED CONTROL OF TOXICS IN NPPES PERMITS
                              John Cannell, USEPA
                      -1-

-------
Water Quality Based Control of Toxics in NPPES Permits
  John Cannell

 I.    Recent Developments

II.    Revisions to TSD

      A   Surface  Water Toxics Control Program
            Activities Conducted Under 304(1)
      B.   Individual  Control Strategies

III.   304(1) Changes  to 40 CFR 122.44

      A.   Section  122.44(d)(l)(i)
      B.   Section  122.44(d)(l)(ii)
      C.   Section  122.44(d)(l)(iii)
      D.   Section  122.44(d)(l)(iv)
      E.   Section  122.44(d)(l)(v)
      F.   Section  122.44(d)(l)(vi)
                                                 -2-

-------
RECENT  DEVELOPMENTS
  WATER QUALITY ACT OP 1987
        - SLUDGE
        - STORMWATER
        - 304(L)
  COMBINED SEWER OVERFLOWS
  REVISIONS TO THE TSD
  DOMESTIC SEWAGE STUDY REGULATIONS
REVISIONS TO THE  TSD
  SCHEDULE:
   • REGIONAL REVIEW   (END 10/10/89)
   • W1LL1AMSBURG GROUP REVIEW
       -States     -Interest Groups
        -Industry   -Environmental Groups
   •FEDERAL REGISTER ANNOUNCEMENT
   • BLUE RIBBON PANEL REVIEW
   • FINAL DOCUMENT
  FINAL DOCUMENT AVAILABLE SUMMER '9O
                -3-

-------
REVISIONS TO THE  TSD
MAJOR CHANGES:
 CHAPTER 1: New documentation
            Correlations

 CHAPTER 2: Acceptable ambient concentrations
             Legal basis fox AACs

 CHAPTER 3: Streamlined procedures
            Screening
            Bioconcentration
REVISIONS  TO  THE TSD
MAJOR CHANGES:

   CHAPTER 4: Mixing Zones
               Bioconcentration

   CHAPTER 5: More user-friendly!
   CHAPTER 6: Permitting and Enforcement
                 Principles
                -4-

-------
                  Surface Water Toxics Control Program
                    Activities Conducted Under §304(1)
in
I
                Develop
                technics!
               agreements
         WQA
  EPA
Guktance
on §304(1)
             I
            Develop
            h	M-^.1——.—
            loniiiinoP
            Hstsof
(A) (I)
(A) (II)
(B)
                      Report instate
                      830S(b) Report
                                        Submit final
                                          lists of
sources,
andlCS's
                                 Develop WWer
                                Quality Assessment
                                Plan (as necessary)
                                     Develop controls under
                                     Ming CWA authorities for
                                     (A) 0) and (AMU) i
EPA develops
HstsorlCS's
                                                                            §3040) 0)(D)
                                                                             controls In
                                                                              ojuaMty
                                                                            ^^^h^^^A^h^^A^ BMk^^
                                                                            sianoBras mei
                               Opportunity for State
                                  to correct
                               deficient submtttal

-------
          Interrelationship of Waters Listed Under
            Section 304(1) of the Clean Water Act
  MINI LIST
    (AMI):
Control actions
include use of
all existing
CWA
authorities for
toxic pollutants.
  LONG LIST
Control actions
include use of
all existing
CWA
authorities for
all pollutants
and all waters.
 SHORT LIST
     (B):

Control actions
require
Individual
Control
Strategies.
                                   -6-

-------
304(1)
     "LONG LIST1
         - 17.576 waters listed
         - Range 0 to 1745, average 304
          - Most east of Mississippi River
     "MINI LIST'
         - Few waters listed
     "SHORT LIST"
         - 595 waters listed
304(1)
  "C LIST'
   • 879 POINT SOURCES
     ° 625 INDUSTRIALS
          - 134 METAL FINISHING
          - 94 PULP ft PAPER
          - 55 NATURAL  GAS
          - 22 ORGANIC CHEMICAL
          - 21 PETROLEUM REFINING
     0 24O MUNICIPALS
     0 14  FEDERAL FACILITIES
  • ICSs REQUIRED
         Individual Control Strategies
  • All known water quality problem waters impaired by
   §307(a) toxics due entirery/substantjalfy to point source
   discharges require an ICS (Short List)
  • An ICS is a NPDES permtt plus documentatfon OB.,
   TMDLs/WLAs and other rationale)
  • An K:S is to produce a reduction in the dtecharge of
   §307(a) tacic pollutants and achieve State WQ standards
   within 3 years
  • Effluent toxicants, ammonia, and chlorine must also be
   controlled by permits under other CWA authorities
                      -7-

-------
3O4(l) Changes to 40 CFR 122.44
 SUBSECTION (d) - WATER QUALITY
 STANDARDS AND STATE REQUIREMENTS

    - WATER QUALITY-BASED PERMIT LIMITS
    FOR SPECIFIC TOXICANTS

    - WHOLE EFFLUENT TOXICITY LIMITS
    WHERE NECESSARY TO ACHIEVE     Jk
    STATE WATER QUALITY STANDARDS  Jfi
  Section  122.44(d)(l)(i)
    ALL POLLUTANTS THAT CAUSE.
    HAVE THE REASONABLE POTENTIAL
    TO CAUSE OR CONTRB3UTE TO AN
    EXCURSION ABOVE A WATER QUALITY
    STANDARD MUST BE CONTROLLED

      - Includes narrative and numerical
      criteria

      - Reflects EPA's approach  to water
      quality-based permitting
  Section 122.44(d)(l)(ii)


    STATES MUST USE VALID PROCEDURES
    TO DETERMINE WHETHER A DISCHARGE
    CAUSES. HAS THE REASONABLE
    POTENTIAL TO CAUSE. OR CONTRIBUTES
    TO AN EXCURSION


    ACCOUNT FOR:
              00
              bfflt
- variability
- species sensitivity
- dilution (where allowed)
               -8-

-------
Section 122.44(dKD(iii)
   NPDES PERMITS MUST INCLUDE
   EFFLUENT LIMITATIONS FOR EVERT
   POLLUTANT THAT CAUSES, HAS THE
   REASONABLE POTENTIAL TO CAUSE
   OR CONTRIBUTES TO AN EXCURSION
   ABOVE A NUMERIC WATER QUALITY
   CRITERION
Section  122.44(d)(l)(iv)
   NPDES PERMITS MUST INCLUDE WHOLE
   EFFLUENT TOXICITY LIMITATIONS
   WHEN A DISCHARGE CAUSES. HAS THE
   REASONABLE POTENTIAL TO CAUSE,
   OR CONTRIBUTES TO AN EXCURSION
   ABOVE A STATE NUMERIC CRITERION
   FOR WHOLE EFFLUENT TOXICITY
Section 122.44(d)(l)(v)


   WHEN A DISCHARGE CAUSES. HAS THE
   REASONABLE POTENTIAL TO CAUSE.
   OR CONTRIBUTES TO AN EXCURSION
   ABOVE A STATE NARRATIVE WATER
   QUALITY CRITERION. THE PERMIT
   MUST CONTAIN LIMITATIONS ON
   WHOLE EFFLUENT TOXICITY

     - unless chemical specific limitations
     are demonstrated to be sufficient
     to achieve all applicable water
     quality standards
                   -9-

-------
Section  122.44(d)(l)(vi)
  WHERE AN ACTUAL OR PROJECTED
  EXCURSION ABOVE A WATER QUALITY
  CRITERION 18 ATTRIBUTABLE TO A
  PARTICULAR  POLLUTANT FOR WHICH
  THE STATE HAS NOT ADOPTED WATER
  QUALITY CRITERION, THE PERMIT MUST
  CONTAIN WATER QUALITY-BASED
  EFFLUENT LIMITATIONS TO CONTROL
  THE POLLUTANT OF CONCERN
Section  122.44(d)(l)(vi)
 THREE OPTIONS:

   (1) CALCULATE NUMERIC CRITERION
   FOR THE POLLUTANT;

   (2) USE EPA's WATER QUALITY
   CRITERION FOR THE POLLUTANT; OR

   (3) ESTABLISH EFFLUENT LIMITATIONS
   ON AN INDICATOR PARAMETER
Section  122.44(d)(l)(vi)

 IF AN INDICATOR PARAMETER IS USED,
 FOUR PROVISIONS MUST BE MET:

    (a)  The permit must identify which
    ponntants are intended to be controlled
    by the indicator parameter;
    (b)  The net sheet must set forth the
    basis for the limit;
    (c)  The permit must require monitoring
    to show continued compliance with the
    water quality standards; and
    (d)  The permit must contain a reopener
    clause allowing for changes (as nwded) to
    achieve water quality standards
                  -10-

-------
304(1) Changes to 4O CFR 122.44
  SUBSECTION (d) - WATER QUALITY
  STANDARDS AND  STATE REQUIREMENTS
   - WATER QUALITY-BASED PERMIT LIMITS
   FOR SPECIFIC TOXICANTS

   - WHOLE EFFLUENT TOXICITY LIMITS
   WHERE  NECESSARY TO ACHIEVE
   STATE WATER QUALITY STANDARDS
                    -11-

-------
            SESSION I
TOXICITY IDENTIFICATION EVALUATIONS
              Donald Mount, USEPA
              1-1

-------
TOXlCITY IDENTIFICATION EVALUATIONS
  Donald Mount
  I. Phase 1 - Tenacity Characterization Procedures

       A  Categories of Phase I Tests
       B.  Day 1
       C.  Day 2
       D.  Day 1 Sample Manipulations
       E.  ph Adjustment/Filtration Tests
       F.  ph Adjustment/Aeration Tests
       G.  ph Adjustment /CIS SPE Tests
       H.  Post C-18 Effluent
       I.  Oxidant Reduction Test
       J.  Chelation Test

II.  Phase II - Tenacity Identification Procedures

       A.  Filter Sample
       B.  Compare Toxicity to Baseline Test
       C.  Condition Column
       D.  Elute Column Blanks
       E.  Additional Needs

HI. Phase III - Toxicity Confirmation Procedures

       A.  Q/C
       B.  Final Confirmation
       C.  Correlation
       D.  Expected Regression
       E.  Recovery of Toxicity
       F.  Other Species
       G.  Spiking Fractions

IV. Facilities, Equipment and Laboratory Requirements

       A.  Overview
       B.  Laboratory Apparatus  and Reagents
       C.  Toxicity Testing and Chemical Analysis
       D.  Requirements for Key Analytical Procedures
       E.  Lab Equipment Needs for Phase I
       F.  Equipment Needs for Phase II
                                              1-2

-------
PHASE I
       TOXICITY CHARACTERIZATION PROCEDURES
              The methods to generally
              identify physical/chemical
              nature of the contitutents
              causing toxicity.
       CATEGORIES OF PHASE I TESTS

       •  Baseline toxicity tests whole effluent
       •  pH adjustment (pH 3, pH | , pH 11)
       •  Aeration      (pH 3, pH | , pH 11)
       •  Filtration      (pH3, pH | , pH 11)
       •  C1S SPE      (pH3, pH|, pHg)
       •  Sodium thiosulfate addition
       •  EDTA addition
       •  Gradual pH change (pH 6,7,8)

       DAY 1
            t   Analyses on whole effluent
                  pH, TRC, hardness, alkalinity
                  conductivity, NH4*
            •   Initial toxicity test
            •   Sample manipulations for
                  Day 2 tests
                      1-3

-------
       pH Meter

       Hardness Titration


       Conductivity Meter

       Baseline Toxicity Tests

       Log Book

       Sample in Refrigerator
Baseline & Effluent Treatment Tests
        are Started on Day 2.
Relevant Blanks are Sometimes
       Difficult to  Design.
                1-4

-------
DAY 1 SAMPLE MANIPULATIONS

   •  pH adjustment only
             pH 3, pH|5 pH 11

   •  pH adjustment/filtration
             pHS.pH.pHU

   •  pH adjustment/aeration
             pH 3, pH,, pH 11

   •  pH adjustment/solid phase
          extraction
          (C18SPE)pH3,pH|5pH9
 pH ADJUSTMENT AFFECTS


    • Solubility
    • Polarity
    • Volatility
    • Stability & speciation
    • Membrane permeability
            1-5

-------
      pH  drifts  differently
     in various  treatments,
Effect of pH on NH3 Toxicity to Daphnia
lO.Or
5.0
                         9.0
           1-6

-------
                                10 Volumes Gas
                         * ** *•* J  1 Volume Effluent
   Percent C02 needed depends on pH desired
         and alkalinity of the sample.
DH ADJUSTMENT/FILTRATION TESTS
    Determine toxicity related  to
    filterable  materials  at  different
    pH values.
                1-7

-------
 Vacuum Filtration
Pressure Filtration
Test of Filtered Sample and Baseline Toxicity



pH ADJUSTMENT/AERATION TESTS


   Determine how much toxicity is
   attributed to volatile or oxidizable
   compounds
Aeration at pH 3, pHj, and pH 11
pH ADJUSTMENT/CIS SPE TEST


Determine the toxicity caused  by
organic compounds  and metal  chelates
with non -polar characteristics
             1-8

-------
           Effluent
           Reservoir
                            SPE
                           Column
      Collection of Post SPE Effluent
         Post C-18 Effluent

Sometimes  has  Artifactual  Toxicity
               Eluting SPE
          Fraction Toxicity Test
                  1-9

-------
     OXIDANT REDUCTION TEST
   Determine the extent toxicity is
   reduced  by  neutralizing toxicant(s) with
   the addition of sodium thiosulfate
POSSIBLE NEUTRALIZABLE COMPOUNDS

          • Chlorine

          • Ozone

          • Chlorine dioxide

          • Mono & dichloroamines

          • Bromine

          • Iodine

          • Manganese

          • Copper
                1-10

-------
     Oxidant Reduction Test
        CHELATION TEST
Determine the toxicity due to cationic
metals by the addition of EDTA as the
chelating agent.
   DOSE RESPONSE CURVE

    FOR EDTA ADDITIONS
 O


 CT)

 .£
 "55
 03
 0)

 O
\.
          Increasing EDTA

-------
EDTA CHELATION IS FUNCTION OF:

    •  Solution pH & temperature
    •  Type and speciation of metal
    •  Other ligands in solution
    •  Binding affinity of EDTA for  the
      metal
CATIONS TYPICALLY CHELATED BY EDTA

 • Aluminum            • Iron
 • Barium              • Lead
 • Cadmium            • Manganese (+2)
 • Cobalt              • Nickel
 • Copper              • Zinc
 CATIONS WEAKLY CHELATED BY EDTA

  • Arsenic             • Barium
  • Mercury             • Strontium
  • Silver               • Calcium
  • Magnesium          • Thallium
               1-12

-------
ANIONS NOT CHELATED BY EDTA
           Selenides

           Chromates

           Hydrochromates
      GRADUATED pH TEST
    Determine whether toxicity is
    influenced by the presence of
       un-ionized ammonia.
              1-13

-------
    10.0
       Dissociation of Ammonia vs. pH
     5.or
   10
  I
    i.Or
  I

  a>
    0.5
   O.I
         6.0
                  7.0
                           8.0
                PH
AH LCSO's from any  Phase  I tests
are compared to the  Baseline Effluent
Toxicity Test.
                1-14

-------
TOXICITY IDENTIFICATION
      PROCEDURES
PHASE II
      TOXICITY IDENTIFICATION PROCEDURES

           Methods to specifically identify
           suspect chemicals in the
           toxic samples.
 PHASE II TOXICITY IDENTIFICATION
GROUP
Non-polar organics
Cationic metals
Volatiles
Polar Organics
Ammonia
Cyanide/Sulfide
Anionic metals
APPROACH
SPE, HPLC, GC/MS, MS-MS
Atomic Absorption
?
?
Symptoms, pH adjustment
equftoxic and zeolite column
?
Atomic Absorption
             1-15

-------
    •  Filter Sample

    •  Compare Toxicity
      to  Baseline Test
       Pressure Filter


Test of Filtered Effluent Toxicity



   • Condition Column

   • Elute Column
     Blanks
     Conditioning Column
      Testing Blanks
          1-16

-------
Condition Column Again
                 STEP 1
    1000 mL

     Effluent
                               Concentration Factor
1X
                     6 mL high capacity
                     C18 SPE column
    Test Post C18
1X
 Figure 2-2.  Step 1 for concentrating the whole effluent
          chemicals on the C18 SPE column.
       Collect Post Column Effluent
                   1-17

-------
                   STEP 2
    6 ml high capacity
    C18 SPE column
                                     Concentration Factor
                                            333X
                                            Each
        Conduct Toxicity Test on Each
          (150/iL in 10mL water)
5X
Figure 2-3.  Procedures for eluting the column with a
            gradient of methanol/water solutions.
            Eluting Fractions
            Testing Fractions
                 1-18

-------
                    STEPS
                                       Concentration Factor

            Dilute Toxic Fractfon(s) 1:10         33X
                     i

          Sorb on 1 ml C18 SPE Column
                       (discard post-CIS)
                     ]


           Dry C18 Column with Nitrogen
                   (optional)
         Bute Column with 3-100//L volumes
                 of 100% Methanol
             Collect Eluate Concentrate        10.000X
               Conduct Toxicity Test             5X
               (10/i Lin 20 ml water)


Figure 2-4 .  Procedure for combining and concentrating
            toxic fractions .  Concentration factors
            are approximate based on 2 L of effluent
            and a 6 mL combined eluate for each
            methanol/water gradient .
           Concentrating  Fractions
         Concentrate  Toxicity  Test
                   1-19

-------
               STEP 4
                               Concentration Factor
     Inject 100/d. of the Concentrate      10.000X
       on the HPLC C18 Column
                 T
        Collect 25-1 ml HPLC          1.000X
              Fractions
                 T
      Conduct Toxicity Test on Each        15X
                in 10mL water)
Figure 2-5.   Procedure to fractionate
            concentrate on the HPLC.
                  HPLC
          HPLC Fraction Test
                  1-20

-------
                   STEPS


                                    Concentration Facto'
               Dilate Fraction(s) 1:10          100X
           Extract on 1 ml_ C18 SPE Column

                       (dscard post-CIS;


       Dry C18 SPE Column with Nitrogen (Optional)
                     I
            Elate Column with 3-100/fL
            Volumes of 100% Methanol
             Collect Eluate Concentrate        5.000X
              Conduct Toxicity Test           1 0X
              (20/iL in 10 mL water)
              Analyze Concentrate on          5 OOOX
                   GC/MS
Figure 2-6.  Procedure to concentrate toxic HPLC
             fractions (combined or individually).
            Volume of eluate should be measured.
          Concentrating Column
         Testing Concentrate
                     1-21

-------
       Total Ion Chromatograms of aPOTW Effluent
  100 V.,
  TOT
 ice %r
 TOT
 '000   1200    ,400

      60% Fraction
        600
100 V.
TOT
'000    1200   WOO

   80% Fraction *\\
       600§00
                  1000
                       1200
                             1400
 Compare Concentrations
    with  Toxicity  Values
               1-22

-------
    Additional  Needs
    Synthesize Compounds
    Refractionate on HPLC
    More Concentration
    Other Analytical Methods
Making Equitoxic Concentrations of Ammonia

PH
6.5
7.0
7.5
8.0
% Un-ionized
(NH3)
0.18
0.566
1.77
5.38

LC50 NH3
0.4
0.9
2.0
4.0

Dilution
0
71%
51%
33%
             1-23

-------
      Toxicity to Red Algae of Ammonia and Effluent
           I20r
                                 6 Effluent Dilution

                                 o NH4CI
             -0      12345


                 % EFFLUENT (or 70 mg/l ammonia)
                 Relationship of NH3 LC50 to Test pH.
|
 8
  I.
 c
 fc
 C8

.1
c
D
      7.00
7.50
8.00
8.50
9.00
                      Measured pH Values


                          1-24

-------
          PHASE III
               TOXICITY CONFIRMATION PROCEDURES

                     A series of steps that are
                     used to assist in confirming
                     the suspect toxicant(s).
       Rigid Q/C Should  be  Employed
                   in  Phase
The  Amount of Confirmatory Data Needed
   Depends  on  the Regulatory Decision.
                  FINAL CONFIRMATION


               1.  Toxicity vs. Concentration Correlation

               2.  Symptoms

               3.  Spiking Effluent

               4.  Toxicity Mass Balance

               5.  Other Species

               6.  Spiking Fractions

               7.  Misc.
                    PH
                    Hardness
                    Tissue Uptake


                        1-25

-------
      Correlation
         TOXIC UNIT = TU
EFFLUENT TU

 = 100%
   LC50

 = 100
   35

 = 2.86
CHEMICAL TU

  = [Concl
   LC50

  = 2.05 ug/J
   0.70

  = 2.93
              r2=0.15
              SLOPE=1.38*O.73
              Y-INTERCEPT= 1.24*1.05
      2     4     6    8     10
   TOXIC UNITS OF SUSPECT TOXICANTS
            1-26

-------
     Expected Regression
           Slope    = 1

           Intercept = O

           "High"    r2
      What is  "High"  r2 ?

     Depends on  Decision
 60
UJ
it40
UJ
= 20
O
X
O
R 2 =0.999
Slope«1.114
Y - lntercept= - 0.26
            20        40
         TOXIC UNITS OF TOXICANTS
           60
             1-27

-------
Positive Intercept may be caused

     by  unidentified toxicants.
     4
  6

I-

UJ

_i
u.
u.
IU

Ul

O
X


u.
O


E 2
z


O
X
o
                    r2=0.63

                    SLOPE=1.05t0.27

                    Y-INTERCEPT=0.19±0.57
                2         4

          TOXIC UNITS OF SUSPECT TOXICANTS
                                 6
       Are there Matrix Effects?
                  1-28

-------
            RECOVERY OF TOXICITY

                                   LC50 (Whole)
    Sample         Dilution Medium       Effluent

    Effluent          Lab Water           17.2

    75,80 & 85        Lab Water           16.5
     Fraction

    75, 80 & 85        Eft. After C-18        16.5
     Fraction
   CONCERNS:

          1.   Column doesn't remove all

          2.   Not all is in toxic fractions

          3.   Some stays on column

          4.   Matrix effects
Are  the  Toxicants  Additive?
                   1-29

-------
                    Interaction of Pesticide Mixtures
         08 \-
         06 h
         0 4 [-
         02
WHOLE EFFLUENT CONCENTRATIONS OF SUSPECTED TOXICANTS (ug/l)
SAMPLE
10/6-1
10/6-11
10/6-111
10/30-1
12/3-1
12/3-11
1/12-1
1/13-1
2/3-1
2/3-11
3/3-1
3/3-11
3/23-1
3/23-11
4/28-1
4/28-11
5/17-1
5/17-11
DIAZINON
CONC.
0.06
0.22
0.23
0.17
0.25
0.60
0.43
0.43
0.24
0.19
0.30
0.28
0.17
0.36
0.57
0.21
0.14
0.59
CVP
CONC.
0.07
0.09
0.05
0.14
0.22
0.18
0.08
0.08
0.08
0.10
0.16
0.23
0.17
0.16
0.24
0.19
0.23
0.23
                           1-30

-------
     Symptoms
      Beaker of Daphnids
     Spiking Effluents
Doubling concentration should
double toxicity (halve
  Mass  Balance
            1-31

-------
      LC  VALUES OF TOXIC FRACTIONS
        50
               LC50            LC50

 FRACTION	^1)	(%EFF.)	IU



  75          12.3             61.5         1.63






  80          15.2             76.0         1.32






  85          28.3             142.0         0.70






PREDICTED TU  3.65                   SUMTU: 3.65




MEASURED TU  2.86
            Fractionation 'Mass Balance' of 2/23
       SAMPLE          LC50



       2 ml - 75%          48%          2.1



       200 \i\ • 75 (Cone)   <62%         >1 .6



       HPLC Fraction #9    55%          1.8



       HPLC Fraction #10   85%          0.29




    Concentration Steps:



       1. 3 ml Column 500 ml --•> 2 ml



       2. 1 ml Column   2 ml - - -> 0.2 ml



       3. HPLC        20 |il - - -> 16 1 ml Fractions



       4. 1 ml Column   1 ml — > 0.2 ml




                       1-32

-------
  WHOLE EFFLUENT AND SEPAK FRACTION COMBINATION
           CERIODAPHNIA 48h LCsos(%)
              WHOLE
              EFFLUENT
  ALL
FRACTIONS
 TOXIC
FRACTIONS
NON TOXIC
FRACTIONS
12/3-1
12/3-11
1/12-1
1/13-1
2/3-1
2/3-11
3/3-1
3/3-11
3/23-1
3/23-11
4/28-1
4/28-11
5/17-1
5/17-11
3/23-1
3/23-H
85
36
50
52
>100
50
>100
75
27
35
44
61
44
44
81
84
61
36
34
35
87
61
94
66
33
35
58
50
49
60
60
75
70
43
32
40
•100
57
•too
88
35
41
61
61
50
63
81
100
»100
•10O
MOO
•100
•100
•100
•100
•100
71
•100
•100
•100
•100
•100
•100
•1OO
       Other  Species
LC50s FOR FATHEAD MINNOWS AND CERIODAPHNIA DUBIA

      EXPOSED TO WHOLE EFFLUENT SAMPLES

                  FATHEAD MINNOW CERIODAPHNIA
        SAMPLE      96h LC50(X)   48h LC50(%)
10/6-1
10/6-11
10/6-111
10/30-1
12/3-1
12/3-11
2/3-1
2/3-11
3/23-1
3/23-11
4/28-1
4/28-11
5/17-1
5/17-11
•100
•100
>100
•100
•100
>100
•100
>100
»100
>100
>100
»100
•100
>100
71
71
71
87
50
37
50
50
25
35
50
55
61
35
                    1-33

-------
       Spiking  Fractions
 CERIODAPHNIA 48h LC50s(%) FOR WHOLE EFFLUENT
AND EFFLUENT SPIKED WITH TOXIC SEPAK FRACTIONS
SAMPLE
3/23/88-1
3/23/88-11
WHOLE EFFLUENT
81
84
SPIKED EFFLUENT
35
37
    Is the Cause of Toxicity Consistent
         from Sample to Sample?
                  1-34

-------
       TOXIC SPE C18 METHANOL FRACTIONS
                        % METHANOL
SAMPLE DATE  25   SO  70   75
        SO
         85   90  100
   10/6-1
   10/6-11
   10/6-111
   10/30-1
   12/3-1
   12/3-11
   1/12-1
   1/13-1
   2/3-1
   2/3-11
   3/3-1
   3/3-11
   3/23-1
   3/23-11
   4/28-1
   4/28-11
   5/17-1
   5/17-11
X
X
X
X
X
 X
 X
 X
 X
 X
 X
 X
 X
XX
 X
 X
 X
XX
 X
 X
XX
 X
 X
 X
 X
 X
 X
 X
 X
 X
XX
XX
 X
 X
 X
 X
 X
 X
 X
XX
 X
             X
             X
         COMMON LABORATORY
      EQUIPMENT REQUIREMENTS
                     1-35

-------
COMMON LABORATORY EQUIPMENT REQUIREMENTS FOR
                           TIEs

     • TEST ORGANISMS

     • DISPOSABLE 1-OUNCE TEST CHAMBERS

     • LIGHT BOX AND/OR MICROSCOPE

     • pH METER AND PROBE

     • 7 ml SCINTILLATION & AUTO SAMPLER WITH CAPS

     • STIR PLATE

     • MAGNETIC STIRRERS/BARS (PERFLOUROCARBON)

     • C18 SOLID PHASE EXTRACTION COLUMNS

     • AERATION DEVICE OR COMPRESSED AIR SYSTEM WITH MOLECULAR
       SIEVE

     • AIR STONES

     • FLUID METERING PUMP WITH RESERVOIR
 COMMON LABORATORY EQUIPMENT REQUIREMENTS FOR

                      TIEs(Continued)

      • PERFLOUROCARBON

      • RING STANDS

      • CLAMPS

      • PARAFILM

      • WIRE MESH TEST CHAMBERS

      • GLASS-FIBER FILTERS ( 1.0/Jm)

      • IN-LINE FILTER HOUSING

      • STAINLESS STEEL TWEEZERS

      • GLASS WOOL
      • NITROGEN
                             1-36

-------
COMMON LABORATORY EQUIPMENT REQUIREMENTS FOR
                     TIEs(Continued)

     • GLASSWARE
           • 10 ml AUTOMATIC PIPETTES
           • 1 ml GLASS PIPETTES
           • DISPOSABLE PIPETTES TIPS
           • EYE DROPPER OR WIDE BORE PIPETTE
           • BEAKERS-30, 50, 250, 500, & 600 ml
           • TITRATION BURRETTES
           • GLASS STIRRING RODS
           • GRADUATED CYLINDERS-25 & 50 ml WIDE MOUTH, AND 250 & 500
            ml
           • ERLENMEYER FLASKS—20,40, & 80 ml
           • 100ml VOLUMETRIC FLASKS
 COMMON LABORATORY EQUIPMENT REQUIREMENTS FOR
                      TIEs(Continued)
      • SOLUTJONS.CHEMICALS
       • DILUTION/CONTROL WATER        • CaCO3 & MgCO3
       • HCL                         • CLEANING SOLVENTS
       • NaOH SOLUTIONS               • Na2S203 SOLUTIONS
       • pH BUFFERS                   • EDTA SOLUTIONS
       • HPLC GRADE METHANOL          • ACS GRADE NH4CI
       • HIGH PURITY WATER             * HEXANE
                          • ZEOLITE
                             1-37

-------
COMPANY LABORATORY EQUIPMENT
      REQUIREMENTS FOR TIEs

I HIGH PRESSURE LIQUID CHROMATOGRAPH (HPLC)

> GAS CHROMATOGRAPH/MASS
 SPECTROPHOTOMETER(GC/MS)
> ATOMIC ABSORPTION SPECTROPHOTOMETER (AA)

I INDUCTIVELY COUPLED PLASMA-ATOMIC EMISSION
 SPECTROMETER (ICP)
                 1-38

-------
        FACILITIES, EQUIPMENT AND LABORATORY REQUIREMENTS
     Laboratories must demonstrate competency in performing the
chemical and biological tests required as part of the TRE and
should be equipped with all the basic and complex laboratory
equipment required to conduct TREs.  Laboratory personnel should
be skilled and experienced in the required methods in order to
meet quality assurance/quality control goals.

     The facilities, equipment and reagents needed to perform a
TRE will be different for each element of the TRE.  The general
laboratory equipment and requirements for each particular type of
analysis are briefly described in this section.

     The facilities and equipment needs in the initial steps of
the TRE are generally standard.  However, in the later steps of
the TRE the facility and equipment needs will be site-specific
and will depend both on the physical/chemical characteristics of
the causative toxicants and on the choice of toxicity evaluation
and control approaches. The apparatus and reagents needed to
conduct a Phase I evaluation are relatively set (not site-
specific) and are typically found in laboratories that can
perform acute toxicity tests with aquatic organisms.  The
additional needed equipment (fluid metering pump,  C18SPE columns,
etc.) are simple to operate and relatively inexpensive.

     Laboratory apparatus and reagents needed for Phase II are a
function of the two choices of Phase II options:  1)toxicity
treatability or 2)toxicant identification/source control.  The
Phase I tests must be completed before the Phase II requirements
can be determined.  The requirements are very site-specific,
however, laboratories equipped to perform priority pollutant
analysis should have the more sophisticated equipment needed.
Analytical equipment that may be needed will include gas
chromatographs, mass spectrometers, high pressure liquid
chromatographs, atomic absorption spectrophotometers and/or
inductively coupled plasma atomic emission spectrometers.  The
exception of equipment availability may be a HPLC which is
commercially available but not typically used in water pollution
monitoring.  Other nontypical equipment  (eg. zeolite,
chromatography columns, etc.) can be easily obtained and is not a
major investment.  Some costs of sophisticated equipment are
GC/MS, $60-300K; AA, $35-85K  (w/autosampler); and HPLC, $25-40K.

     The instruments needed for treatability studies may be
available at larger POTWs or environmental engineering consulting
firms.

     It is best for a laboratory to have both toxicity testing
and chemical analysis (for Phase II toxicant identification
option)  and/or treatability equipment (for Phase II toxicity
treatability option) in the same location.  Shipping samples
between two different labs is not recommended.   This is due to:
sample toxicity degradation; the lack of communication between
chemists, biologists,  engineers and others involved; and the most
crucial  requirement of a TRE may be the communication between the
different disciplines.

                               1-39

-------
       The specific requirements needed for each of the key
analytical procedures required in a TRE are summarized below.

     1.   Characterization Tests - Laboratories should be
          equipped with pH adjustment, filtration, air stripping,
          reducing agent, chelating agent and C,8 solid phase
          extraction columns; fractionation capabilities to
          perform characterization tests (3)  (see Phase I
          Laboratory Equipment Needs).


     2.   Toxicity Tests - Standard toxicity test equipment,
          standard reference toxicants and an organism culturing
          facility are required for the toxicity testing.

     3.   Batch Toxicity Treatability Tests - Laboratories should
          be equipped with respirometer (optional), TSS, VSS, ATP
          and COD analysis capabilities to conduct treatability
          studies.

     4.   Specific Chemical Identification - More complex pieces
          of equipment are required for the specific
          identification of chemicals depending upon the type of
          analysis needed.  Equipment that may be required
          includes:  mass spectrometer (MS),  gas chromatograph
          (GC), high pressure liquid chromatograph (HPLC) with
          IR, UV detectors, atonic absorption (AA)
          spectrophotometer, coupled plasma atomic emission (ICP)
          spectrometers, and ion chromatograph.

     5.   Sampling Equipment - Laboratories need to be equipped
          with all the standard sampling equipment including
          timed and sequential composite samplers, and flow
          proportional composite samplers.

     6.   General Analytical Laboratory Equipment and Reagents -
          General laboratory equipment such as refrigerators,
          microscopes, a water purification system, and commonly
          used reagents are also required.  It is important to
          emphasize that copper, galvanized material, lead, and
          brass should not be used in collecting or storing
          effluent samples or control water.   Use of inert
          materials such as perfluorocarbon plastics are
          particulary important in the latter steps of the TRE.
                                1-40

-------
                       LAB EQUIPMENT  NEEDS

                               FOR

                             PHASE I
                      Baseline  Toxicity Test
Apparatus:

     Eighteen to 20 disposable one ounce test chambers, automatic
pipette  (10 ml), disposable pipette tips (10 ml), eye dropper or
wide bore pipette, light box and/or microscope (optional
depending on test species used).

Reagents:

     90 to 100 test organisms of the same age and species,
dilution/control water.
                      Initial Toxicity Test
Apparatus:

     Twelve disposable one ounce test chambers, automatic pipette
(10 ml), disposable pipette tips (10 ml), eye dropper or wide
bore pipette, light box and/or microscope (optional depending on
test species used).

Reagents:

     Sixty test organisms of the same age and species,
dilution/control water.
                            1-41

-------
                        pH  Adjustment Test
Apparatus:

     Burettes for acid and base titrations, pH meter and probe
(solid state), 2-500 ml beakers, 2-500 ml graduated cylinders,
12-30 ml beakers, stir plate, and stir bars (perfluorocarbon).
Eight disposable one ounce test chambers, automatic pipette  (10
ml), disposable pipette tips (10 ml),  eye dropper or wide bore
pipette, light box and/or microscope (optional depending on test
species used).

Reagents:

     1.0, 0.1 and 0.01 N NaOH,  1.2, 0.12 and 0.012 N HC1 (ACS
grade in high purity water), buffers for pH meter, 40 test
organisms of the same age and species,  dilution/control water.
                             Aeration Test
   Apparatus:

        Aeration device or compressed air system with a molecular
   sieve, six air stones or diffusers, six-50 ml wide mouth
   graduated cylinders, burettes for acid and base titrations, pH
   meter and probe, stir plate(s), and perfluorocarbon stir bars.
   Fifteen disposable one ounce test chambers, automatic pipette (10
   ml), disposable pipette tips  (10 ml), eye dropper or wide bore
   pipette, light box and/or microscope (optional depending on test
   species used).

   Reagents:

        0.01 N NaOH, 0.012 N HC1 (ACS grade in high purity water),
   buffers for pH meter calibration, 75 test organisms of the same
   age and species, dilution/control water.
                                 1-42

-------
Apparatus:

     Six-250 ral graduated cylinders, eight-25 ml graduated
cylinders, burettes for acid and base titrations, pH meter and
probe (solid state), stir plate, perfluorocarbon stir bars, fluid
metering punp (stainless steel piston with carbon cylinder) with
sample reservoir, perfluorocarbon tubing, ring stands, clamps,
and 3-3 ml C,, SPE columns  (200 mg sorbent) .  Twenty-seven
disposable one ounce test chambers, automatic pipette (10 ml),
disposable pipette tips (10 ml), eye dropper or wide bore
pipette, light box and/or microscope (optional depending on test
species used).

Reagents:

     HPLC grade methanol, high purity water, 0.01 N NaOH, 0.012 N
HC1 (ACS grade in high purity water), buffers for pH meter
calibration, 135 test organisms of the same age and species,
dilution/control water, solvents for cleaning pump and reservoir.
                        Oxidant Reduction Test
  Apparatus:

       Glass  stirring rods,  1 ml glass pipette,  eight to ten
  disposable  one ounce test  chambers,  automatic  pipette (10 ml),
  disposable  pipette tips (10 ml),  eye dropper or wide bore
  pipette,  light box and/or  microscope (optional depending on test
  species  used).

  Reagents:

       Two Na2S2Oj  (molarity depending on total residual chlorine
  concentration  as measured by the  iodometric method  and the
  species used as test organism), 40 test organisms of the  same age
  and species, dilution/control water.
                          1-43

-------
                       EDTA Chelation Test
Apparatus:

     Glass stirring rods, burettes for EDTA addition, 8 to 10
disposable one ounce test chambers, automatic pipette (10 ml),
disposable pipette tips  (10 ml),  eye dropper or wide bore
pipette, light box and/or microscope (optional depending on test
species used).

Reagents:

     EDTA solutions (concentration dependent on the hardness and
salinity of the effluent and the  species used as test organism),
40 test organisms of the same age and species, dilution/control
water.
                          Graduated pH Test
  Apparatus:

       Burettes for acid and base addition,  magnetic stirrers,  and
  perfluorocarbon stir bars.

       3-50 ml beakers,  3 one ounce disposable transparent test
  chambers, Parafilm"  or  3-600 ml beakers, wire mesh test  chambers.

  Reagents:

       1.0 and 0.1 N NaOH or 0.1 N and 0.01  N NaOH,  1.2 N and 0.12
  N HC1 or 0.12 N and 0.012 N HC1,  15 test organisms of the same
  age and species, dilution/control water.
                             1-44

-------
                         Filtration Test
Apparatus:

     Six-250 ml graduated cylinders, 6-250 ml beakers, fluid
metering pump  (stainless steel piston with carbon cylinder) with
•ample reservoir, teflon tubing, in-line filter housing, ring
stands, clamps, [alternatively; vacuum flask  (500 ml capacity),
filter stand, clamp, vacuum tubing, water aspirator or vacuum
pump], glass-fiber filters; nominal size 1.0 urn (without organic
binder), stainless steel tweezers, burettes for acid and base
titrations, pH meter and probe, stir plate, and perfluorocarbon
stir bars, fifteen disposable one ounce test chambers, automatic
pipette (10 ml), disposable pipette tips (10 ml), eye dropper  or
wide bore pipette, light box and/or microscope  (optional
depending on test species used).

Reagents:

     Solvents and high purity water for cleaning pump reservoir
and filter, 0.1 N and 0.01 N NaOH, 0.12 N and 0.012 N HC1 (ACS
grade in high purity water), buffers for pH meter calibration, 75
test organisms of the same age and species, dilution/control
water.
                           EQUIPMENT NEEDS
                                 FOR
                               PHASE  II
                      Nonpolar Organic Toxicants
  Apparatus:
       6,  3  and/or  i ml  C,8 SPE columns,  fluid metering pump
   (stainless steel  piston  with carbon  cylinder), with  glass
   reservoir,  vacuum manifolds,  drying  manifold, adapters  and  luer-
   lok needles to  fit C,8  SPE columns,  1.0 urn glass  fiber filters,
   in-line  filter  housing,  7  ml  scintillation and autosampler  vials
   with perfluorocarbon lined caps,  20, 40  and 80 ml  Erlenmeyer
   flasks,  100 ml  volumetric  flasks, 100  ml graduated cylinders, 250
   ul syringes, GS-MS equipped  with  capillary column, data system
   with mass  spectral library,  HPLC  equipped with solvent  delivery
   system  (capable of producing a solvent gradient),  C,a column,  UV
   detector,  fraction collector, one ounce  disposable plastic  test
   chambers,  automatic pipette  (10 ml), disposable pipette tips  (10
   ml), and stirring rods,  eye  dropper  or wide bore pipette, light
   box and/or microscope  (optional depending on test  species used).

   Reagents:

       HPLC  grade methanol  (25, 50, 75,  80,  85, 90 and  95* methanol
   in high purity water),  nitrogen,  high purity water, test
  organisms  of the  appropriate age and species, dilution water.

                                1-45

-------
                   Ammonia (Eguitoxic Soln Test)
 Apparatus:

      Six 600 ml beakers,  6-250 ml graduated cylinders,  6 wire
 mesh test chambers,  6 perfluorocarbon stir  bars,  magnetic
 stirrers, apparatus  for ammonia analysis  (see  EPA-600/4-79-20;
 Method 350.1,  350.2  or 350.3),  burettes for acid  and base
 titration,  6 one ounce disposable plastic test chambers,
 automatic pipette (10 ml),  disposable pipette  tips  (10  ml),  eye
 dropper or  wide bore pipette,  light box and/or microscope
 (optional depending  on test species used).

 Reagents:

      1.0 N  and O.l N NaOH,  1.2  N and  0.12 N HC1,  reagents for
 ammonia analysis (see above reference) ACS  grade  NH4C1, dilution
 water,  test organisms of  the appropriate age and  species.
                      Ammonia  (Zeolite  Test)
Apparatus:

     Chromatographic column with reservoir (approximately 19 mm
i.d. x 41 cm), glass wool, apparatus for ammonia analysis (see
EPA-600/4-79-020, Method 350.1, 350.2 or 350.3), 3-500 ml
beakers, 500 ml graduated cylinder, 10 one ounce disposable
plastic test chambers, automatic pipette (10 ml), disposable
pipette tips  (10 ml), eye droppers or wide bore pipette, light
box and/or microscope (optional depending on test species used).

Reagents:

     30g zeolite, reagents for ammonia analysis  (see EPA 600/4-
79-020, Method 350.1, 350.2, or 350.3), high purity water,
dilution water, test organisms of the appropriate age and
species, ACS grade NH4C1 (optional).
                          1-46

-------
                         Cationic Metals
Apparatus:

     Inductively coupled plasma-atonic emission spectrometer or
atomic absorption spectrophotometer with graphite furnace,
associated hardware and glassware specified in EPA-600/4-79-020
(selected method(s) from the 200 series), 500 ml separatory
funnel (optional), one ounce disposable plastic test chambers,
automatic pipette  (10 ml), disposable pipette tips (10 ml), eye
dropper or wide bore pipette, light box and/or microscope
(optional depending on test species used).

Reagents:

     Reagents as specified in EPA-600/4-79-020 for metal analysis
method(s) chosen, hexane (optional), CaC03  and MgC03  (optional),
dilution water, test organisms of the appropriate age and
species.
                         1-47

-------
TRE INDUSTRIAL PROTOCOL - CASE EXAMPLES

                 William Clement and G. Mick DeGraeve,
                 Battelle
                   1-48

-------
TRE INDUSTRIAL PROTOCOL - CASE EXAMPLES
 William Clement and G. Mick DeGraeve

 I. TRE Process

    A.  Overview
    B.  Flowchart

 II. Case History - Metal Finishing Industry

    A.  Determination
    B.  Characterization
    C.  Toxicity Reduction Methodology Evaluation

III. Case History - Government Arsenal

    A.  Overview
    B.  Wastewater Treatment System
    C.  Evaluation

IV. Case History - Chemical Industry's Treatment Facility

    A.  Overview
    B.  Data

V.  Case History - Multipurpose Speciality Chemical Plant

    A.   Overview
    B.  Data
                                             1-49

-------
A  TRE  is  a  step-wise  process
consisting  of:

  • Evaluation  of existing site-specific  information
  • Toxicity characterization/identification/confirmation
    evaluation
  • Toxicity source identification

  • Toxicity reduction method evaluation

  • Method selection and  implementation

  • Follow-up  monitoring
          TRE Industrial Protocol  Flowchart
                         TRE Objectives
                             JL
                         Information and
                         Data Acquisition
     Evaluate Facility
     Housekeeping
                             _L
Evaluate Chemical Use
Evaluate Treatment System
                             JL
                       Toxicity Identification
                           Evaluation
          Evaluation of Treating
             Final Effluent
                                   Identification of the Source(s)
                                    of Final Effluent Toxicity
              Evaluation of Treating
               Process Systems
                               JL
                       Selection and Method
                          Implementation
                      Follow-Up and Confirmation
                            1-50

-------
           Case  History  of
      a TRE  Conducted  at  a
      Metal  Finishing  Industry
           Process
Municipal
 Water
            Water
                 Treatment Plant
                    I
0.3 MGD
                Cooling Water
         0.4 MGD
          Processes
          UJ.
               001
               1.2 MGD
         0.8 MGD
           Cooling Water
         TRE Target 80% Survival of Most Sensitive
           Species in 100% Effluent at 48 hr
                    1-51

-------
    Determination of Most Sensitive
     Test Species for 001 Effluent

                    Sample Test Date
                   A              B
            % Survival in 100%      LC
                                   50»
Species         Effluent, 48 h      % Effluent

D. magna           0             32.5
D. pulex            0             67.3
Fathead minnows     95             >100

                     EC™, % Effluent
                       '50>
Microtox            67              46
 Toxicity  of  001  Effluent  Was

   • Highly variable:  LC50s ranged
     from  14% to  >100% over
     one-year period

   • Non-persistent
                    1-52

-------
          Toxicity  Characterization

   •  Toxicity was  found in
        — Filterables
        — Organics  (volatiles)
        — Oxidants  (reducibles)

   •  Individual contribution of  each of  these
      classes displayed great variability

   •  Filtration  followed by  aeration followed
      by  reduction  removed  toxicity
Example of  Variability  of Sources  of Toxicity

Whole Effluent Toxicity
Individual Toxicity Parameter
Filterables
Volatiles
Reducibles
Sum of Individual
Parameters
Difference Between Whole
Effluent Toxicity and Sum
of Individual Parameters

A
001
1.4

0.1
0.3
0.4

0.8


0.6
Sample

001
4.8

3.3
0.0
1.2

4.5


0.3
Data"1
B
MH17.7

3.8
0.0
3.4

7.2


>0.5


MH6(bl
6.2

2.6
0.0
>2.5

>5.2


<1.0
 <•> Values In TU.s
 
-------
  Class
Volatiles
Filterables
Identification  of Causative
   Agents  and  Sources

  Agent Identification          Source
Thermal products from
ABS polymer (e.g.,
styrene, acetophenome)
Reducibles   a) TRC
Water traps for
extrusion process
                        Municipal water
            b)  Anionic chemical X    A bath process
                Toxicity  Persistence
                    (Typical  Data)
TU. (100/LCJ
Date
Sample
001
Ditch at creek
Upstream of ditch
1/2 mile downstream
of ditch in creek
A
5.0
1.4
0.0
-------
           Effluent/
           Receiving
           Water
           Mixture
              Dish on
                               UV/Visible Lighting
                                       Unit Enclosed in
                                       an Environmental
                                       Chamber
            Wire Screen  2 Liter Beaker
              Support    Over a Magnetic Stirrer
\Stream
  Substrate
                                              Pump
            Environmental Toxicity Persistence Unit
ETPU  Investigation of  an  Industrial  Effluent
                                                    4/2
                                                    4/9
                                                . m-4/16
                                2            3
                          Time in ETPU, hr
                          1-55

-------
     Toxicity Reduction
  Methodology  Evaluation
• Process changes
• Treatment (filtration, aeration,
  and reduction combined)
• Treatment to mimic the ditch
             1-56

-------
     Case History  of  a
 Preliminary TRE Conducted
  at a Government Arsenal
       Case History Overview

Arsenal production was highly variable
both in materials produced and
production scheduling

Effluent toxicity was also highly variable

Initial monitoring of toxicity failed to
disclose source or sources of causative
agent(s)

An exploratory TRE using acute toxicity
tests with D. magna was then undertaken
                1-57

-------
   Arsenal's Wastewater Treatment System
           Effluents from Numerous Processes
                         Alum, Lime, pH Adjustment
                         rALTT
                         Polymer
                         *002
                           1 MGD
         Summary  of TIE Results
oo?  Q   C,harlcterization of Sixteen
002  Samples Over a Five-Month Period
 38% (6) had "no toxicity"
 31% (5) had "only filterable toxicity"
 6% (1) had "only organic toxicity"
25% (4) had "both filterable and organic toxicity"
No "reducible" or "volatile" toxicity was found
                 1-58

-------
Evaluation of the Treatment System
     and the TIE Data Disclosed

> Lagoon RT was in reality only
 several hours
> Organic toxicity correlated well with
 production of specific organic products
   Toxicity  Reduction Method Evaluation

 For "filterable toxixity"
    • Treatability studies
    • Lagoon improvements

 For "organic toxicity11
    • Treatability studies with activated carbon
    • Eventual addition of an activated carbon
      treatment system to 002 planned
                  1-59

-------
         Case History  of
    a  TRE  Conducted  at  a
       Chemical  Industry's
        Treatment  Facility

           Case History Overview
    • The chemical industry produced numerous
      organic and inorganic products
    • The CIWTF's effluent was consistently toxic
    • A TRE was mandated by the state
      regulatory agency
    • The TRE target was set as
       — No acute toxicity
       - A NOEC > 24%
Preliminary  Study of Effluent  Data
     Suggested the Following
         "Suspect Agents"

    • Organic solvents
    • Organic intermediates and
      by-products
    • Metals
      .     .       1-60
    • Ammonia

-------
           Initial  Acute  Toxicity  Data
     (LC50  Values)  From  Three  Species
        Exposed  to  CIWTFs Effluent'8'

                                    Test  Date
Test Species
Fathead minnow
Daphnia magna
Daphnia pulex
Ceriodaphnia
dubia
A
20
>100
38
35
B
23
96
33
25
C
24
100
38
35
    (a) 48-hour static acute toxlcfty tests initiated one day after sample
       collection, with samples stored on ice in the dark
      Initial  Chronic Toxicity Data  From Two
       Species  Exposed to  CIWTF's Effluent
Fathead Minnow"1
Test Date
A
B
C
D
E
F
NOEC(e)
12
12
12
12
12
1.5
LOEC(d)
25
25
25
25
25
3
Ceriodaphnia™
NOEC
12("
12<"
12
12
—
—
LOEC
25">
25W
25
25
—
—
(a) Seven-day static renewal toxicrty test with newly hatched fry (based on fish wts.)
(b) Seven-day static renewal toxfcfty test with less than 24-hour-old organisms
   (based on total number of young produced)
(c) No observed effects concentration
(d) Lowest observed effects concentration
(e) Reproduction values were compared against the 1.5% concentration
   values instead of the controls
                            1-61

-------
        Toxicity Characterization
      Tests - Filterable  Toxicity(8)

               LC™,  %  Effluent
                 '501
Untreated  Effluent          Filtered  Effluent™
       14                         13
       17                        <13
       17                         15
       12                        <13
        3.4                        4.9
       11 _ 13

(a) Seven samples over a nine-month time frame
(b) Effluent pressure filtered through a Gelman A/E
   glass fiber filter (1.0 urn)
         Toxicity  Characterization
        Tests  —  Organic Toxicity(a)

                LC™, % Effluent
                 'SOI
                           Organics Removed
 Untreated Effluent       From the  Effluent(b>
12
3.4
11
15
<13
4.9
13
15
 (a) Five samples over a five-month time frame
 (b) Effluent filtered and passed over XAD4 resin
                      1-62

-------
               Toxicity Characterization
               Tests — Cation Toxicity(a)
LC50, % Effluent
Untreated
14
34
35
56
Effluent With
Effluent Cations Removed'"




>100
>100
76
>100
       (a) Four samples over a two-month time frame

       (b) Effluent passed over a cation exchange resin
      Typical  Ammonia Concentrations
        and  Acute Toxicity Data  for
        the CIWTFs  Final  Effluent(a)
PH
7.9
8.0
7.9
7.8
7.7
Total
NH3, mg/L
51
60
80
46
52
Unionized
NH3, mg/L
1.68
2.3
2.6
1.3
1.2
LC50,
% Effluent
14
13
2.6
22
26
Toxic
Units
7.0
7.6
9.1
4.5
3.9
(a) 48-hour static acute toxlclty tests with fathead minnows
                          1-63

-------
Unionized  Ammonia vs. Toxicity in  CIWTF Effluent

             15
                        O   /
                           /O
                 /O  O      ' = 0.72
                 00      LCM - 0.4 mg/L
                 5p             of Unionized NH,
                     12345
                      Unionized NH3, mg/L
         Ammonia Concentration vs. Toxicity
           of  a Sample of CIWTF Effluent
            o
            •§
                            Raw Effluent
     Partial
NH, Removal
                        More Extensive
                        NH, Removal
                          0.5        1.0
                      Ammonia (unionized), mg/L
                        1-64

-------
                    Acute  Toxicity  of
           Clinoptilolite  Treated  Effluent"'
LC50,
Untreated Effluent
17
17
23
15
11
13
5
% Effluent
Clinoptilolite
Treated Effluent
59100
>100(c)
>100(c)
>100
>100
         (a) Seven samples over a five-month period
         (b) Incomplete removal of NH,
         (c) 10O% survival In 100% effluent
      Chronic  Toxicity of Treated Effluent
                                     NOEC, % Effluent
                            Untreated
Date        Species          Effluent       Treated  Effluent

 Aw     Fathead Minnow      Acutely     >50
                             Toxic
 B     Fathead Minnow      15         60  (LOEC, 100%)
        Ceriodaphnia         -          36  (LOEC, 60%)
 Cw     Fathead Minnow      Acutely     100 (LOEC, >100%)
 	Toxic	

 (a) Cations removed from effluent using cation exchange resin
 (b) Effluent treated with cnnoptHoNte

                            1-65

-------
               A Case History
Implementation of a Toxicity Reduction
Evaluation at a Multipurpose Specialty
              Chemical Plant
     Project Objective: To develop, test, and
     refine a protocol for conducting industrial
     TREs to provide guidance to permit writers
     and permittees
            MULTI-PURPOSE SPECIALTY CHEMICAL WASH HOW DIAGRAM

                     1-66

-------
                  Toxicity Testing



  Test Species           Test System      Test Duration



  Daphnla magna         static acute          48 hr.


  Fathead minnows        static acute          48 hr.


  Mysidopsis bahla        static acute          48 hr.


  Pholobacterlum         Mlcrolox          5 to 30 mln.
    phosphorlum
         Toxicity of Site 1 Final Effluent
             (August 1985 Sample)
Species                       LC50 (% Effluent)
Pimephales promelas               >100
 - fathead minnows


Paphnia magna                       0.1


Photobacterium phosphorium       > 100
        Fractionation Scheme


            Effluent*


                 XAD Resin
     r
 Inorganic*                    Organic*
                                  Method 625

J
Anions*
Resins
I
Cations*
I
Acids'
1
Base/N
Extractions
J
eutrals'Resid
*  Bloassy Testing Point; Further Fractionation
  and Chemical Analysis Decision Point

                       1-67

-------
         Aquatic Toxicity Data for Dichlorvos
               LC50      Test       Test
  Test Species  (ug/L)   Duration   Condlllons      Reference
  Fathead
  minnow
 11,600  96 hr
17*C       Toxicology Data
           Bank
  Daphnia
  pulex
  0.07    48 hr
15'C       Toxicology Data
           Bank, Verschueren
           1983
               Acute Toxicity of Amines and
               Dichlorvos to Daphnia magria
       Sample
    Description

    Dlamine

    N-octylamine

    Dicyclohexylamlne

    Dichlorvos
                                 48-hr EC50
                                   5,700

                                 > 50,000

                                  15,700

                                    0.08*
                                    0.2**
     *  Calculated EC50 based on dlchlorvos concentration
       measured In August 1985 final effluent sample.
     ** Final effluent sample collected at Site No. 11n February
       was spiked with dichlorvos.
              Fractionated Effluent - August 1985


                    Using Daphnia magna


                        Final Effluent
                           0.10%
           Organic Fraction

               0.14%

  Acid      Base/Neutral Residual
Subtraction Subtraction   Subtraction
                         Inorganic Fraction

                              >50%
                         Anlonlc
                       Subtraction
                 Catlonlc
               Subtraction
  1.64%.
0.41%
    not tested   not tested
                             1-68

-------
 Comparison of August, November, and January 6lh Samples
                        LC50 (% Effluent)
  Sample       August     November  January 6

Final Effluent      0.1         0.6         70.5
        Comparison of Principal Peaks in
        GC/MS RICs of August 1985 and
    February 1986 Base/Neutral Subtractions
Scan
 No.    August 1985 Sample

790   Alkylamlne, MW139
BOO   Ethanedlylldene Bis
832   Alkyl dlamlne, MW172
962   Alkyl amlne, possible
       . MW169
1017  UID
1089  Dlchlorvos
  February 1986 Sample

Possibly present, unconfirmed
Not present
  (2-melhyl-2-propanamine)
Possible trace amount present
Not present

Not present
Not present
                        1-69

-------
TRE MUNICIPAL PROTOCOL - CASE EXAMPLES
                  Fred Bishop, USEPA and John Botts,
                  Engineering Science and Richard Dobbs, USEPA
                    1-70

-------
TRE MUNICIPAL PROTOCOL - CASE EXAMPLES
  Fred Bishop, John Botts, and Richard Dobbs


  I. Protocol

    A. TRE Requirement
    B. Toxicity Reduction Evaluation
    C. Limitations
    D. Components
    E. Operations
    F. Evaluations
    G. Treatability Tests
    H. Results
    I.  Sampling Decisions
    J.  Data

 II. Case Study - Patapsco Wastewater Treatment Plant

HI. Case Study - Mount Airy, North Carolina

IV. Case Study - Falling Creek Wastewater Treatment Plant
                                             1-71

-------
TOXICITY REDUCTION  EVALUATION
    PROTOCOL FOR MUNICIPAL
WASTEWATER TREATMENT PLANTS
           TRE REQUIREMENT
  Triggered by evidence of unacceptable
  effluent toxicity

  Usually a TRE plan and schedule must be
  submitted

  Continues until acceptable effluent toxicity
  is achieved
     TOXICITY REDUCTION EVALUATION

  Identify the constituents causing effluent
  toxicity

  Locate the sources of effluent toxicants/toxicity

  Evaluate the feasibility and effectiveness of
  toxicity control options
                   1-72

-------
        MUNICIPAL TRE PROTOCOL
• Development and review of a TRE plan

• Selection of appropriate steps in a  TRE

• Evaluation and interpretation of  the data

• Selection and implementation of control
  options
      LIMITATIONS OF THE PROTOCOL


   Addresses Methods for Reduction in Whole
   Effluent Toxicity

   Limited Case Studies
                  1-73

-------
COMPONENTS OF THE MUNICIPAL TRE PROTOCOL

Information and Data Acquisition
POTW Performance Evaluation
Toxicity Identification Evaluation
Toxicity Source Evaluations (Tiers I and II)
POTW In-Plant Control Evaluation
Toxicity Control Selection and Implementation
  POTW OPERATIONS AND PERFORMANCE DATA
   NPDES Discharge Monitoring Reports
    POTW Design Criteria
    Process Control Data
    Treatment Interferences
    Process Sidestream Discharges
    Wastewater Bypasses
                     1-74

-------
     PRETREATMENT PROGRAM INFORMATION
POTW Effluent and Influent Toxicity/Toxics Data
POTW Sludge Toxics Data
Industrial Waste Survey Information
Annual Pretreatment Program Reports
Local Limits Compliance Reports
        POTW PERFORMANCE EVALUATION

  Evaluate major unit treatment processes
  (CCP Approach)

  identify deficiencies that may contribute to
  effluent toxicity

  Determine in-plant sources of effluent toxicants
  (e.g., chlorination, bypasses)
                    1-75

-------
        POTW PERFORMANCE EVALUATION
A limited TIE Phase I can be conducted to:
 •  Indicate in-plant toxicants such as chlorine
   and suspended solids

 •  Provide information to set up treatability tests
       CONVENTIONAL TREATABILITY TESTS

 Recommended for Improvements in Conventional
   Pollutant Treatment

 Can Identify Modifications in Conventional
   Treatment That  Also Reduce Toxicity
    CONSIDERATIONS IN TIE TESTING AT POTWS


 Characterize effluent toxicant variability over time

 Utilize pretreatment program  data to support TIE

 Can initiate treatability tests based on Phase I
 results
                    1-76

-------
            RESULTS OF TIE
     Specific toxicants are identified
     One fraction is consistently toxic
     Variable fraction toxicity
 PURPOSE OF TOXICITY SOURCE EVALUATION (TSE)
Determine Sources of Effluent Toxicants/Toxicity
Determine Feasibility of Pretreatment Control
                    1-77

-------
  TIER I  TSE - SAMPLING DECISIONS

Sewer Line Sampling:
   •  TIE and pretreatment program data
     are limited

   •  POTW has a large number of lUs

Point Discharge Sampling:
   •  TIE and pretreatment program data
     attribute toxicants to (Us

   •  Number of (Us is manageable
     TSE TIER I APPROACHES
 Chemical-Specific Tracking
 Refractory Toxicity Assessment
             1-78

-------
   CHEMICAL-SPECIFIC TSE REQUIREMENTS
Pretreatment Program Data to Indicate Sources
Knowledge of Sewer Discharge Characteristics
Accurate Analytical And Flow Data
  TSE - REFRACTORY TOXICITY ASSESSMENT

A simulation of the POTW treatment system
which utilizes toxicity tests to estimate the
amount of refractory toxicity in sewer
wastewaters.
                 1-79

-------
 RTA SAMPLE COLLECTION, CHARACTERIZATION
             AND PREPARATION

 24-Hour Flow Composites

 Analyze for COD, TKN, TP, IDS and pH


 Adjust BOD5:N:P Ratio  to  100:5:1

 Adjust pH
     EXAMPLE RESULTS FOR TIER I  RTA

                   LC50(% Effluent)

        Sample/    Sample/           Potential
        Synthetic   Primary  Primary   Toxicity
Source  Wastewater  Effluent  Effluent    Source
  A       35        38       70       YES

  B       22        77       72       NO

  C       21        12       85       YES


                    1-80

-------
  TIER II - TOXICITY SOURCE EVALUATION

Confirm Sources of Refractory Toxicity
Identified In Tier I

Determine Potential for Biological Treatment
Inhibition (optional)

Characterize Refractory Toxicity Using TIE
Phase I Tests (optional)
       EXAMPLE RESULTS FOR TIER II RTA

                       Sample Dilution
              (Times Percent Flow in POTW Influent)

                       10x     5x    2x
Batch Effluent LC 50       10     30    50

Batch Effluent Toxic       10     3.3     2
Units (TU)
Sum of TUs = 15.3
                     1-81

-------
 RELATIVE TOXICITY LOADING CALCULATION


Relative Score =
  Sum of TUs x Sewer Discharge Flow Rate

  Where Sum of  TUs = 15.3
  Flow Rate = 1  mgd
Relative Score =  15.3 TU x  1 mgd = 15.3
TSE TIER II - PRETREATMENT CONTROL EVALUATION

  Approaches to Local Limits Development
     •  Allowable headworks loading
     •  Industrial User management
     •  Case by case permitting

  Equitable Cost Recovery
                   1-82

-------
  SELECTION OF OPTIONS FOR EVALUATION

Review PPE data to determine:
   •  Space and equipment
   •  Operational control

Review TIE data  to determine:
   •  Types of toxicants  amenable to
      treatment
   •  Treatability test design
      TOXICITY TREATABILITY TESTS
      Activated Sludge
      Coagulation and Precipitation
      Sedimentation
      Granular Media Filtration
      Activated Carbon
                 1-83

-------
 EVALUATION OF TOXICITY CONTROL OPTIONS

Selection based on results of:

    • PPE
    • TIE
    • TSE Tier I - Chemical Specific Testing
    • TSE Tiers  I and II  - Refractory
      Toxicity Assessment
    • POTW Treatability Testing
 POTW TECHNOLOGIES FOR CATEGORIES OF POLLUTANTS

    Biodegradable
      Organic            Non-Biodegradable
   Compounds and              Organic
      Ammonia               Compounds

  Biological Process           Coagulation/
      Control               Precipitation

      Nutrient                Filtration
      Addition

                             Activated
                              Carbon
                     1-84

-------
POTW TECHNOLOGIES FOR CATEGORIES OF POLLUTANTS

         Volatile              Heavy Metals
         Organic              and Cationic
       Compounds             Compounds

    Biological Process        pH Adjustment
         Control

         Aeration              Coagulation/
                              Precipitation

                                Filtration
       COMPARISON OF SELECTION CRITERIA FOR
             TOXICITY CONTROL OPTIONS

                                        Alternative
Selection Criteria                        ABC

   Ability to achieve effluent toxicity limits
   Ability to comply  with other permits
   Capital and O&M Costs
   Ease of Implementation

   Reliability

   Environmental Impact
                      1-85

-------
   TOXICITY CONTROL IMPLEMENTATION
Toxics Control Implementation Plan
Follow-up  Monitoring
               1-86

-------
       CASE STUDY

TOXICITY REDUCTION EVALUATION
             AT THE
     PATAPSCO WASTE WATER
        TREATMENT PLANT
        Baltimore, Maryland
   PURPOSE OF TRE CASE STUDY #1

   Develop and validate procedures
 for municipal TREs with emphasis on
    evaluating methods for tracing
    effluent toxicity to its sources.
                1-87

-------
WHY PATAPSCO WAS CHOSEN FOR A CASE STUDY

 • Effluent Toxicity

 • Treatment Performance Problems Related
   To Toxicity

 • Experience in Toxicity Monitoring/Existing
   Data Base

 • Proximity to  the Chesapeake Bay Estuary
     OBJECTIVES OF  THE TRE

  • Evaluate Operations and Performance

  • Identify Effluent Toxicants

  • Trace Toxicants and/or Toxicity

  • Evaluate, Select and Implement
    Controls
                  1-88

-------
  PATAPSCO TRE - CASE STUDY SCHEDULE
                       MONTHS
             0123456789 101112131415161718
TOXICITY TESTING
PERFORMANCE REVIEW
TIE (PHASE I)
SOURCE EVALUATION
FINAL REPORT
     AQUATIC TOXICITY TESTS
         TEST
 ENDPOINT
 7-day Ceriodaphnia dubia   48-hour
                          7-day ChV
 96-hour Mysidopsis bahia   96-hour LC 50
 MICROTOX
          TM
5-minute EC 59
                  1-89

-------
          CHRONIC TOXICITY OF
  PRIMARY  AND SECONDARY EFFLUENT

                 NOEC MEAN  ChV MEAN
                    (S.D.)       (S.D.)    N
Ceriodaphnia dubia
   Primary Effluent     0.8 (1.1)     1.2 (1.8)    12

   Secondary Effluent  2.3 (1.6)     2.8 (2.1)    45
   PERCENT  TOXICITY REDUCTION  BY
          THE PATAPSCO  WWTP

                     MEAN (S.D.)      N
  MICROTOX™          87.7 (12.2)        37
    5-minute EC
50
  Mysidopsis bahia    55.5 (16.8)        12
    96-hour LC 59

  Ceriodaphnia dubia
    48-hour LC50        60.7(30.4)        13

    7-day ChV         62.5 (31.1)        12
                     1-92

-------
 SUMMARY  OF  TOXICITY RESULTS

  Ceriodaphnia dubia was the most
  sensitive  species

1  Significant correlation of Ceriodaphnia
  dubia and Mysidopsis bahia
  Percent toxicity reduction ranged
  from 50-90%
PLANT PERFORMANCE  EVALUATION

Primary Treatment Did Not  Reduce
Influent Toxicity

Increases in Acute Effluent Toxicity
Occurred During Reduced Plant Performance

Performance and Operations Were Not a
Major Cause of Effluent Toxicity
               1-93

-------
                 [WA8TEWATER SAMPLE]
                  TIME LETHALITY TEST
                   ON WHOLE SAMPLE
AERATED FOR]
   1 HOUR   i

  48-HOUR
 ACUTE TEST
         \
      UNAERATED

       48-HOUR
      ACUTE TEST
                                   FILTERED
                                 (I.Oum) SAMPLE
UNAERATED

 48-HOUR
ACUTE TEST
   AERATED

TIME LETHALITY
 OR 48-HOUR
    TEST
  RAISE pH>11
AERATE FOR 1 HR.
 AND NEUTRALIZE

 TIME LETHALITY
     TEST
                         COLUMN
                     EXTRACTION]
                      I C(18) COLUMN
                       EXTRACTION
[EFFLUENT FROM COLUMN]
 	1	
 I TIME LETHALITY TEST]

    "~
                                        ELUTED WITH
                                         INCREASING
                                       CONCENTRATIONS
                                        OF METHANOL
 SEPARATION OF SAMPLE
USING ANION AND CATION
   EXCHANGE RESINS
          r
 [48-HOUR ACUTE TEST]
                48-HOUR ACUTE TEST]
                        1-94

-------
            TIE PHASE I RESULTS
  SECONDARY EFFLUENT 10 DECEMBER 1986
.0 100
   90
   80
   70
S  60
O  50
"I  40
3  30
X  20
to  10
    0
     Whole Aerate Filter NH3-N C-18  Cation Anion Residual
                  Treatments
             TIE PHASE I RESULTS
     SECONDARY EFFLUENT 23 JULY 1986
O
o
  100
   90
   80
   70
   60
O  50
"2  40
=»  30
£  20
i  10
        48-hour LC50

      Theoretical LC50
           .   I
                                       100
                                       90
                                       80
                                       70
                                       60
                                       50
                                       40
                                       30
                                       20
                                       10
                                       0
Whole Aerate Filter
                          C-18 Cation Anion Residual
                   Treatments
                      1-95

-------
CO
15
O
in
O
100
 90
 80
 70
 60
 50
 40
 30
 20
 10
 0
            TIE PHASE I RESULTS
      PRIMARY EFFLUENT 23 JULY 1986
100
90
80
70
60
50
40
30
20
10
   Whole Aerate Filter
                        C-18 Cation Anion Residual
                 Treatments
            TIE PHASE I RESULTS
     SECONDARY EFFLUENT 23 JULY 1986
       25   50   75   80    85   90   95   100

   Percent Methanol Fractions From C-18 Column
                     1-96

-------
          TIE PHASE I RESULTS
 SECONDARY EFFLUENT 10 DECEMBER 1986
X
O
 70
 60
  50
  40
  30
020
C 10
Z  o
70
60
50
40
30
20
10
     25   50  75   80   85   90   95   100
  Percent Methanol Fractions From C-18 Column
        REFRACTORY TOXIC I TY
         ASSESSMENT (RTA)
•  Collect Sewer Samples
•  Batch  Simulation of Activated Sludge
   Treatment Process
•  Measure Batch Effluent Toxicity
•  Rank Sources by Relative Toxicity
   Loading
                 1-97

-------
       DESCRIPTION OF  INDIRECT
        INDUSTRIAL DISCHARGERS
INDUSTRY
  CODE         INDUSTRY PRODUCTS

    A   Organic Chemicals and Pesticides
    B   Detergent Alkylates, Hydrotropes, and
        Petroleum Intermediates
    C   Emulsifiers, Surfactants, and Specialty
        Monomers
    D   Organic and Inorganic Chemicals
    E   Washdown of  Chemical Transport Trucks
        RTA  RESULTS -  INDUSTRY B
  Percent                       Ceriodaphnia
  Industrial  MICROTOX ™ (EC 50) Time Lethality (TU)
Wastewater
100
75
50
25
10
Influent
45.7
65.4
100
82.8
100
Effluent
100
100
100
—
—
Influent
76.0
88.1
100
100
—
Effluent
22.9
24.5
25.5
26.2
—
   RAS       100                 10.7
                       1-98

-------
      RTA  RESULTS  -  INDUSTRY D

 Percent                     Ceriodaphnia
Industrial  MICROTOX ™ (EC 50) Time Lethality (TU)
Wastewater
100
75
50
25
10
RAS
Influent
1.4
1.8
4.2
9.3
16.3
100
Effluent
3.2
11.5
15.7
61.6
100

Influent
16.4
21.0
24.8
51.9
90.5
16.4
Effluent
4.8
4.8
13.3
11.7
15.5

BIOMASS  TOXICITY CHARACTERIZATION
 Treatment
      Ceriodaphnia
Time Lethality Toxic Units
 #1         #2       #3
  Coarse Filter   35
           54
          58
  0.2 urn Filter   88
           90
         100
  Centrifuge
81
                  1-99
87
92

-------
             TIE PHASE I RESULTS
        INDUSTRY A - 12 DECEMBER 1986
      Theoretical LC50
                              Cation Anion Residual
   Whole Aerate Filter  NH3-N
                Treatments


          TIE PHASE I RESULTS
       INDUSTRY A -12 MARCH 1987
o
100
90
80
70
X 80
O 50
7; 40
o 30
I 20
   10
100
90
80
70
80
50
40
30
20
10
     Whole Aerate Filter NH3-N C-18  Cation Anion Residual
                  Treatments
                     1-100

-------
           TIE PHASE I RESULTS
       INDUSTRY E - 26 MARCH 1987
IV
2
3
•o
•
O
IA
O
"i
0
i
CO
«fr
100
90
80
70
60
50
40
20
n






•

                                          too
                                          90
                                          80
                                          70
                                          60
                                          50
                                          40
                                          30
                                          20
                                          10
                                          0
    Whole Aerate Filter  NH3-N  C-18 Cation Anion Residual
                 Treatments
  70
-  60
* 40
|S 30

"5 20
e 10
0)
S  o
            TIE PHASE I RESULTS
        INDUSTRY A -12 MARCH 1987
      25    50    75   80   85   90   95   100
   Percent Methanol Fractions From C-18  Column
70

80

50

40

30

20

10

0
                     1-101

-------
   TOXICITY IDENTIFICATION EVALUATION
           OF RTA EFFLUENTS

INDUSTRY    PRINCIPAL TOXIC FRACTION

   A        NON-POLAR ORGANICS
            RESIDUAL TOXICITY

   C        NON-POLAR ORGANICS
            RESIDUAL TOXICITY

   D        NON-POLAR ORGANICS
            RESIDUAL TOXICITY

   E        ANIONS
           CONCLUSIONS

   The WWTP Achieved Significant
   Toxicity Reduction; However,
   Substantial Acute and Chronic
   Toxicity Remained

   Effluent Toxicity Was Not Caused
   By Poor Treatment Operation Or
   Performance
                 1-102

-------
         CONCLUSIONS
          (Continued)
Non-Polar Organic Compounds
Appear To Be The Principal Effluent
Toxicants

Acute Toxicity To Ceriodaphnia Was
Largely Associated With Particles
> 0.2 urn
         CONCLUSIONS
           (Continued)
 RTA Was An Effective Tool For
 Identifying Contributors To The
 WWTP's Effluent Toxicity
              1-103

-------
           RECOMMENDATIONS
Test Enhanced Solids Removal Techniques
(e.g. Coagulation/Precipitation or Filtration)
For Sorbable Toxicity Reduction

Additional RTA Testing to Identify Sources
Contributing to the WWTP Toxicity
Pass-Through
                1-104

-------
     CA SE S TUD Y
   MOUNT AIRY, NORTH CAROLINA
  TOXICITY REDUCTION EVALUATION
MT. AIRY TOXICITY REDUCTION EVALUATION
        TECHNICAL APPROACH

    • CHEMICAL MEASUREMENTS
    • MOCK EFFLUENTS
    • TIE PHASE I TESTS
    • SOURCE EVALUATION

    • LOCAL PRETREATMENT LIMITATIONS
                1-105

-------
      MODIFIED TIE PHASE I
  CATION RESIN   -   METALS

  ORGANIC RESIN  ~   ORGANICS
    CHEMICAL MEASUREMENT
* FOCUSED ON ALKYL PHENOLS,
  METALS, SOLVENTS

• COMPARISON OF CHEMICAL DATA
  TO LITERATURE TO INDICATE TOXICANTS
              1-106

-------
       SOURCE EVALUATION
ALKYL PHENOLS  -  TEXTILE SURFACTANTS

COPPER        -  DYE COMPONENTS

ZINC           ~  SODIUM HYDROSULFITE

SOLVENTS      -  TEXTILE SCOURING
     PRETREATMENT CONTROL
• LINEAR ALCOHOL ETHOXYLATES IN LIEU OF
  ALKYL PHENOL ETHOXYLATES

• CHEMICAL USAGE OPTIMIZATION

• REDUCED APPLICATION OF METAL-BASED DYES

• ZINC-FREE HYDROSULFITE
               1-107

-------
          DEVELOPMENT OF A
TOXICITY REDUCTION EVALUATION PLAN
       FOR THE FALLING CREEK
   WASTEWATER TREATMENT PLANT
              ENGINEERING-SCIENCE
       DESCRIPTION OF FACILITIES

    9 MGD Advanced Secondary Treatment Plant

    Treats Primarily Domestic Wastewater

    No Major Industries

    Discharges to Low Flow Tributary of the
    James River
                  1-108

-------
  BIOMONITORING REQUIREMENTS
Monthly:
96-Hour Pimephales promelas
Quarterly:    7-Day Ceriodaphnia dubia
      TOXICITY TEST RESULTS
PERCENT EFFLUENT

DATE
1986
May
June
July
Nov
1987
June
*v^
P. Promelas
C. dubia
C. dubia
96-hr LC50 72-hr LC 50 NOEL

100
100
100
100

100

54.8
50.0
46.9
36.7

24.5

3
10
30
20

10
                 1-109

-------
        TRE REQUIREMENT
"Upon notification . . . that a discharge is
determined to be actually or potentially
toxic . . . the permittee shall begin to
develop a toxicity reduction evaluation
plan.  (Toxics Management Regulation
VR 680-14-03)"
                                        A
 ADDITIONAL REQUIREMENTS FOR
     PREPARING  THE TRE PLAN	

  Evaluation of POTW Performance

  Further Toxicity Identification Evaluation

  Initial Assessment of Toxicity Control
  Options
                 1-110

-------
  PERFORMANCE EVALUATION FOR
     THE FALLING CREEK  WWTP

     Reviewed Monthly Operations and
     Performance Data for the Period
     January 1986 to August 1987

     Conducted On-Site Review of
     Treatment Facilities
COMPARISON OF EFFLUENT QUALTIY
          TO  PERMIT LIMITS
Parameter

BODC :
                Permit Limitation (mg/l)
            Monthly     Weekly    Actual
            Average     Average   Average
        Summer
        Winter
         16
         29
24
44
10
9
SS:
Summer   16
Winter    29
24
44
5
8
                i-in

-------
 EFFLUENT QUALITY VS. EFFLUENT TOXICITY
^20
     Suspended Solids
      May-86  Jun-86  Jul-86   Nov-86
                Sampling Period
Jun-87
 INFLUENT QUALITY VS. EFFLUENT TOXICITY
      May-86  Jun-86  Jul-86  Nov-86
                Sampling Period
Jun-87
                      1-112

-------
          SUMMARY  OF THE POTW
         PERFORMANCE EVALUATION
    All Treatment Processes Operate Within
    Design Specifications and Performance
    Criteria

    WWTP Does Not Appear to Contribute to the
    Effluent Toxicity

    Limited Data Suggest That the Influent is
    the Source of the Toxicity
        SUMMARY OF PRETREATMENT
              PROGRAM REVIEW


     No Categorical or Major Industries

     Several Commercial Dischargers

     No Likely Source of Toxicity

     Additional Information Needed on
     Commercial Discharges
k  „
                      1-113

-------
     TOXICITY IDENTIFICATION
        EVALUATION RESULTS
Principal Toxic Component Was Non-Polar
Organic Compounds

GC/MS Indicated 15 Identified Compounds
and 30 Unidentified Compounds

Identified  Peaks Included Benzothiozole,
Propanoic Acid and Cyclohexanol
     SUMMARY OF TIE RESULTS
Acute Toxicity Associated With Filtrable,
Volatile and Non-Polar Organic Fractions

Type of Toxicant Varies Over Time

General Association of Toxicity With
Suspended Solids
                 1-114

-------
     OPTIONS FOR ENHANCED
         SOLIDS  REMOVAL
   Chemical Coagulation Followed by
   Sedimentation

   Chemical Coagulation Followed by
   Conventional Gravity Filtration
    FEASIBILITY OF ENHANCED
          SOLIDS REMOVAL
Both Processes Rely on a Moderate Level
of Solids to Promote Coagulation and
Solids Separation

Expected Solids Levels After Treatment
Are 2 to 10 mg/l

Current WWTP Effluent Averages  Only 7 mg/l
                 1-115

-------
RECOMMENDATIONS FOR THE TRE PLAN
   Additional TIE Analyses to Identify the
   Effluent Toxicants

   Tests to Characterize the Nature and
   Sources of Influent Toxicity

   In-Depth Assessment of Pretreatment and
   WWTP Control Options
 RESULTS OF  TOXICITY IDENTIFICATION
           EVALUATION PHASE I
 SAMPLE DATE
CLASSES OF SUSPECTED TOXICANTS
AUGUST 1988

OCTOBER 1988


FEBRUARY 1989


APRIL 1989

JUNE 1989
         LC50 > 100%

   AMMONIA TYPE COMPOUNDS
   AND NON-POLAR ORGANICS

   AMMONIA TYPE COMPOUNDS
   AND NON-POLAR ORGANICS

         LC50 > 100%

         LC50 > 100%
                    1-116

-------
 RESULTS OF TOXICITY IDENTIFICATION
           EVALUATION PHASE  II

 SAMPLE DATE     TOXIC METHANOL / WATER ELUATES

               25  50  75   80  85    90   95   100

OCTOBER 1988            *   *   *


FEBRUARY 1989               *   *    *   *
         REFRACTORY TOXICITY
       ASSESSMENT PROCEDURE

       BATCH TESTS
           Samples:
              48" sewer lines
              30" sewer line
              20" sewer line
              Combined Influent
       CONDITIONS
           Operational WWTP Parameters:
              MLSS
              Dissolved Oxygen
              Food to Microorganism Ratio
       ANALYSIS
           Acute toxicity of batch influent
           and batch effluent samples
       RESULTS
           Refractory wastewater toxicity:
              48" sewer line
              30" sewer line
              20" sewer line
              Combined Influent
                    1-117

-------
            SCHEMATIC OF BATCH  REACTOR
              WASTEWATER SAMPLE
            AND WWTP ACTIVATED SLUDGE
                                        AIR STONE
                                       -— MAGNETIC
                                        STIRREr
    REFRACTORY TOXICITY ASSESSMENT OF
FALLING CREEK  WWTP INFLUENT WASTEWATERS
              Sampling Date: February 14-15, 1989
         BATCH TEST
        WASTEWATERS
 CERIODAPHNIA
TIMED LETHALITY
  TOXIC UNITS
     48" sewer influent
     48" sewer influent
     30" sewer influent
     30" sewer effluent
     20" sewer influent
     20" sewer effluent
     Combined influent
     Combined effluent
     30"+ combined effluent
     20"+ combined effluent
     32.2
     13.1
      0
      0
     27.0
    14.7 (9.8)
     27.8
     18.0
     11.4
      9.8
                            1-118

-------
    REFRACTORY TOXICITY ASSESSMENT OF
FALLING CREEK WWTP INFLUENT WASTEWATERS
            Sampling Date: April 18-19, 1989

                             CERIODAPHNIA
       BATCH TEST             TIMED LETHALITY
      WASTEWATERS               TOXIC UNITS
    48" sewer influent                   0
    48" sewer influent                   0
    30" sewer influent                  0.8
    30" sewer effluent                 0 (4.9)
    20" sewer influent                  24.5
    20" sewer effluent                   0
    Combined influent                  4.9
    Combined effluent                  3.3
       SUMMARY  OF  PHASE 2
            AND  3  RESULTS

   Acute effluent toxicity was attributed
     primarily to non-polar organic compounds
     and to a lesser extent to ammonia-type
     compounds

   Two of the three main sewer lines  (48" and
     20" lines) were found to contribute acute
     refractory toxicity
                    1-119

-------
  RECOMMENDATIONS FOR

      PHASE 4 TESTING

TIE Phase II testing will be to identify
  the non-polar organic compounds in the
  methanol fraction found to be causing
  acute effluent toxicity

Identification of the sources of  the toxicity
  in  the sewer lines will  require additional
  sewer line testing and  a survey of
  commercial discharges
                1-120

-------
                      PHASE 4
DEVELOPMENT OF TOXICITY CONTROL OPTIONS
      TOXICITY
   IDENTIFICATION
    EVALUATION
      PHASE  II
                  PHASE 4A STUDY PLAN
PRETREATMENT
 EVALUATION
WWTP EVALUATION
                   PHASE 4A REPORT/
                  PHASE 4B  STUDY PLAN
     IN-DEPTH
   PRETREATMENT
    EVALUATION
                 IN-DEPTH WWTP
                   EVALUATION
           RECOMMEND TOXICITY CONTROL OPTION(S)
                       (PHASE  5)
           IMPLEMENT TOXICITY  CONTROL OPTION(S)
                       (PHASE 6)
                         1-121

-------
    ISSUES TO CONSIDER

          IN PHASE 4

The availability of pretreatment data on
  commercial dischargers

The effect of  the proposed nutrient control
  process(es) on final effluent toxicity

The effect of  WWTP sidestream discharges
  on final effluent toxicity
              1-122

-------
TREATABILITY DATABASE
        Glen Shaul, USEPA and Richard Osantowski and
        Stephanie Hansen, Radian Corp.
         1-123

-------
Treatability Database
    Glen Shaul, USEPA and Richard Osantowski and Stephanie Hansen, Radian Corp.

I.   Introduction

II.  Discussion of the Program Format

III. Codes and Abbreviations

IV. Sample

    A. Phenol
    B. PCB 1254

V.  Summary

VI. Questions and Answers
                                            1-124

-------
                             WERL TREATABILITY
                                  DATABASE
Introduction

    The Risk Reduction Engineering Laboratory, which now includes the former
Water Engineering Research Laboratory, has developed and is continuing
to expand a database on the treatability of chemicals in various types of
waters and wastewaters. This activity is being conducted under the direction
of Mr. Kenneth A. Dostal.

    The following editing rules are being used to evaluate the data prior
to entry into the database:

    o   Only primary references will be used.

    o   Bench-top and pilot-plant data from biological treatment processes
        must be from acclimated systems.

    o   Only matched pairs of influent and effluent data will be used.

    o   Data will be from continous flow processes in equilibrium unless
        noted by a "(B)" in the "Technology" column.

    The compound name used in the database will be labled as a "Primary Name"
in the "Compound Name List". Other chemical names are synonyms for the
"Primary Name". If treatability data are not available, only information
related to chemical and physical properties, environmental data and possibly
adsorption data will be given.

    If you have any questions/comments concerning this database or would like
additional information on a reference, please contact:

                        Mr. Kenneth A. Dostal
                        Risk Reduction Engineering Laboratory
                        Environmental Protection Agency
                        26 W. Martin Luther King Drive
                        Cincinnati, Ohio 45268

                              684-7503 (FTS)
                        (513) 569-7503 (Commercial)


               Treatment Technologies Code and Abbreviation Table

Treatment Technologies
   AAS  - Activated Alumina  Sorption
   AFF  - Aerobic Fixed Film
   AL - Aerobic Lagoons
   API  - API Oil/Water Separator
   AS - Activated Sludge
   AirS - Air Stripping
   AnFF - Anaerobic  Fixed Film
   AnL  - Anaerobic Lagoons
   BGAC - Biological Granular Activated Carbon
   CAC  - Chemically  Assisted Clarification
   ChOx - Chemical Oxidation (Parantheses shows oxidation chemical
          ie. ChOx(Oz) -  is ozone)
   ChOx/Pt  - Chemical Oxidation/Precipitation
   ChPt - Chemical Precipitation
   DAF  - Dissolved Air Flotation
   Fil  - Filtration
   GAG  - Activated Carbon (Granular)
   KPEG - Dechlorination  of Toxics using an Alkoxide (Formed by the reaction
                                   1-125

-------
          of potassium hydroxide  with  polyethylene  glycol  (PEG400))
   IE -  Ion Exchange
   PACT  -  Powdered Activated  Carbon Addition to  Activated  Sludge
   RBC -  Rotating Biological  Contactor
   RO -  Reverse  Osmosis
   SBR -  Sequential Batch  Reactor
   SCOx  -  Super  Critical Oxidation
   SExt  -  Solvent Extraction
   SS -  Steam Stripping
   Sed -  Sedimentation
   TF -  Trickling Filter
   UF -  Ultrafiltration
   UV -  Ultraviolet Radiation
   WOx -  Wet Air Oxidation
   NOTES:
         	 +  	    is  the first process unit followed  in process  train
                       by  the second ie.  AS -I- Fil - Activated Sludge  followed
                       by  Filtration.

         	 w  	    is  the two units  together ie.  UFwPAC - Ultrafiltration
                       using  Powdered Activated  Carbon.


Scale

B - Bench Top         P -  Pilot plant         F  - Full scale

Number after letter refers to the plant  number in a specific reference
(ex. F7  - plant  7 is  the  seventh full scale plant in the indicated report).

Matrix
    C - clean water (ex.  distilled)
    D - domestic wastewater
    GW - ground water
    HL - hazardous leachate
    I - industrial wastewater
    I+HL - industrial waste combined with leachate from hazardous landfill
    ML - municipal leachate
    RCRA - RCRA listed wastewater
    S - synthetic wastewater
    SF - superfund wastewater
    SP - spill
    T - tep water
    W - surface water

SIC (Standard Industrial Classification) Codes
   For industrial wastewaters a 2 digit SIC code will be given following
   the letter designation, i.e. I 22 is a Textile Mill Products wastewater.
   If the SIC code is unknown a U will be shown, I U.

    10 - Metal mining
    12 - Coal mining
    13 - Oil and gas extraction
    20 - Food and kindered products
    22 - Textile mill products
    24 - Lumber and wood products
    26 - Paper and allied products except computer equipment
    27 - Printing and publishing
    28 - Chemicals and allied products
    29 - Petroleum refining and related
    30 - Rubber and misc. plastic products
    31 - Leather and leather products
    33 - Primary metals industries
                                  1-126

-------
    34 - Fabricated metal products except machinery & transportation equip.
    36 - Electronic and electric equipment
    39 - Misc.  manufacturing industries
    47 - Transportation services
    49 - Electric, gas, and sanitary
    99 - Nonclassifiable establishments industries

Effluent Concentration
    Effluent concentration will be given as a arithmetic mean to two
    significant figures. The number of samples used to calculate the
    mean is given after concentration as (n) (ex.  13 (5) -  13 is the
    mean of 5 sample values).

% Removal

    Percent removal wi1! be calculated on a concentration basis. If data
    are available,  it will also be calculated on a mass basis for
    physical/chemical systems.  Those vaules calculated on a mass basis
    will be noted by a (m).  An example would be:

    % Removal:  99.95       99.95 is based on concentration
                98(m)       98 is based on mass

         where % Removal - Influent - Effluent

                               Influent
Reference Codes
    A - Papers in a peer reviewed journal.
    B - Government report or database.
    C - Reports and/or papers other than in groups A or B not reviewed.
    D - Group C papers and/or reports which have been given a. "good"
        quality rating by a selected peer review.
    E - Group C papers and /or reports which have been given a "poor"
        quality rating by a. selected peer review. This data will only
        be used when no other data are available.

Codes Identifying Additional Data Presented In The Reference

    V - Volatile emissions data
    S - Sludge data
    $ - Costs data

Physical/Chemical Properties Data
    (c) - Values presented are values that were reported calculated
          in the reference as is and are only used where measured
          are not available.
    NA -  Value for the particular property have not been found
          in literature to date.
END
                                    1-127

-------
WERL Treacabilicy Database
                                                Ver No. 2.0
                                                                       10/26/89
                                     PHENOL
CAS NO.:    108-95-2

COMPOUND TYPE:    PHENOLIC,

FORMULA:    C6  H6 0
CHEMICAL AND PHYSICAL PROPERTIES
                                                                  REF.
    MOLECULAR WEIGHT:  94.11
    MELTING POINT (C):  43
    BOILING POINT (C):  181.7
    VAPOR PRESSURE @ T(C),  TORR:  0.35  @ 25
    SOLUBILITY IN WATER @ T(C), MG/L:  8 E4 <§ 25
    LOG OCTANOL/WATER PARTITION COEFFICIENT:  1.46
    HENRY'S LAW CONSTANT, ATM x M3  MOLE-1:1.3 E-6 @ 25
333A
333A
333A
1006A
1006A
163A
191B
ENVIRONMENTAL DATA
                                                                  REF.
    CHRONIC NONCARCENOGEHIC SYSTEMIC TOXICITY
    RISK ESTIMATES FOR CARCINOGENS
    DRINKING WATER HEALTH ADVISORIES/STANDARDS
    WATER QUALITY CRITERIA
    AQUATIC TOXICITY DATABASE
4B
NA
NA
4B
5B
FREUNDLICH ISOTHERM DATA
ADSORBENT
FILTRASORB 300
FILTRASORB 300
XAD 4
FILTRASORB 400
WESTVACO WV-L
FILTRASORB 400
POLYBENZIHIDAZOLE
POLY(4- VINYL FYRIDINE)
WLTRASORB F400
FILTRASORB 400
MATRIX
C
C
C
C
C
C
C
C
C
C
K
29
21
0.91
50
13.3
0.037
0.079
0.223
78.1
77.4
1/H
0.33
0.54
0.76
0.26
0.299
0.371
0.917
0.894
0.212
0.211
Ce
UNITS
mg/L
mg/L
mg/L
mg/L
mg/L
mg/L
mg/L
mg/L
mg/L
mg/L
X/K
UNITS
mg/gm
mg/gm
mg/gm
mg/gm
mg/gm
mg/mg
mg/gm
mg/gm
mg/gm
mg/gm
REF.
138D
3B
19 3 A
72E
1083E
450D
381D
381D
1721A
489D
                                     PHENOL
     CAS NO.:  108-95-2

               INFLUENT CONCENTRATION -  0-100 ug/L
                                         EFFLUENT
 TECHNOLOGY       MATRIX    SIC SCALE  CONCENTRATION    PERCENT      REFERENCE
                           CODE           ( ug/L )      REMOVAL
AS
AS
AS
AS
TF
TF
D
D
D
D
D
D
F31
F4
P
F59
F21
P
<1 (6)
<1 (3)
10 (11)
<26 (6)
1 (6)
8 (10)
>98.3
>96.4
90.0
>63
98.2
91.3
IB
IB
240A
IB
IB
240A
-S-
-S-
-S-
-S-
-S-
-S-
                      1-128

-------
UERL Treacability Database
                                          Ver. No. 2.0
                                                                10/26/89
                                PHENOL
    CAS  NO.:  108-95-2

              INFLUENT CONCENTRATION  -

TECHNOLOGY       M^IX    «C  SCALE  CONCENTRATION    PERCENT
                                                                REFERENCE

AL
AL
AS
AS
AS
AS
AS
AS
AS
AS
AS
AS
AS
CAC
TF
TF
GAC
AL
API+DAF+AS
AS
AS
AS
AS
AS
AS
AS + Fil
ChOx(Cl) (B)
ChOx(Cl) (B)
GAC
AL
AS
RBC



D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
HL
I
I
I
I
I
I
I
I
I
I
I
S
SF
SF
SF



28
29
28
28
28
28
28
28
28
28
28






PI
P2
P
F28
P
F38
F19
F
PI
F30
F36
F58
F60
P
F52
P
F2
F12
F
F4
Fl
F3
F5
F31
Fll
F29
B4
Bl
B2
P




	 _ _ ,
84 (11)
18 (11)
<14 (8)
1 (6)
14 (11)
<1 (6)
<1 (5)
20 (31)
<8 (4)
2 (5)
25 (6)
<61 (6)
<8 (5)
99 (11)
<47 (6)
64 (11)
<10 (1)
<11 (3)
85 (4)
<20
<10 (3)
<10 (39)
<15 (7)
<10 (11)
120 (3)
<10 (15)
16
<2
10
sin
*"lfl
<10

PHENOL

-----------
33
86
>94.6
99.89
89
>99 . 44
>99.33
92.6
>97.2
98.6
94.4
>92.4
>97.2
21
>82
49
>92.6
>90.8
89.5
>87
>98.6
>96.4
>98.0
>96.3
97.9
>98.0
93.3
>98.3
99.00
>98.99
>98.99
>98.99




203A
203A
204A
IB
203A
IB
IB
201B
241B
IB
IB
IB
IB
203A
IB
203A
245B
6B
1482D
975B
6B
6B
6B
6B
6B
6B
975B
975B
1054E
192D
192D
192D




-S-
-S-
-S-
-S-
-S-
-S-
-s-
-s-
vs-
-s-
-S-
-s-
-s-
-s-
-s-
-s-
--S
--S
--$
V--
	
	



   CAS NO.: 108-95-2

             INFLUENT CONCENTRATION -   >1-10  mg/L
                                       EFFLUENT
                MATRIX    SIC SCALE  CONCENTRATION    PERCENT
                         —-           ( ug/L )       REMOVAL
   TECHNOLOGY
GAC
AS
AS
AS
AS
ChOx(Cl) (B)
PACT
PACT
PACT
RO
HL
I 28
I 28
I 28
I 28
I 28
I 28
I 28
I 28
SF
                                                                      REFERENCE
F
F3
Fl
F28
F42
B3
B2
Bl
F40
F4
<5 (1)
6.6
160
56 (4)
<21 (10)
12
8
<2
30 (3)
120
>99.89
99.87
95.0
96.9
>99.64
99.37
99.85
>99.955
98.6
93.6
237A
975B
975B
6B
6B
975B
9758
975B
6B
250B
--$
--$
--$
--$
--$
TECHNOLOGY
SBR
AS
AS
AS + Fll
PACT
AS
INFLUENT CONCENTRATION
MATRIX SIC SCALE
CODE
HL+I U
I 28
I 28
I 28
I 28
S
P
F17
F
F26
B
B2
- >10-100 mg/L
EFFLUENT
CONCENTRATION PERCENT
( ug/L ) REMOVAL
1,000 (16)
<10 (3)
4.000
<13 (3)
<1.8
1.000
97.7
>99 . 944
95.2
>99.976
>99.991
95.0
REFERENCE
1433D ---
6B
1122E ---
6B
190E
1054E V--
                        1-129

-------
    WERL TreatabUity Database
                                               Ver. No. 2.0
                                                                     10/26/89
                                    PHENOL
    CAS NO.:  108-95-2

              INFLUENT CONCENTRATION -  MOO-1000 mg/L
                                        EFFLUENT
TECHNOLOGY       MATRIX    SIC SCALE  CONCENTRATION    PERCENT      REFERENCE
                          CODE           ( mg/L )      REMOVAL
SBR
SBR
SBRwPAC
AS
AS
RBC
SS
AS
AS
AS
AnFF
AnFF
AnFF
AnFF
WOx (B)
HL
HL
HL
I 28
I 28
I 23
I 49
S
S
S
S
S
S
S
S
P
B
B
F33
F8
P
P
B
P
B3
P
P
B
P
Bl
1 (1)
3
<1
<0.010 (13)
<0.010 (2)
1.7
160
<0.01
<0.5 (6)
0.25
0.07
0.01
<10
0.24
27
99.81
99.63
>99.88
>99.999
>99.996
99.60
24
>99.994
>99.949
99.88
99.981
99.999
>98.97
99.86
97.3
227D
64D
640
6B
6B
603E
1082E
202D
226B
1054E
231A
231A
230A
23SD
1054E
--$
--$
--$
	
	
	
	
VS-
vs-
V--
—
	
	
	
V--
TECHNOLOGY

WOx (B)
WOx (B)
AnFFwGAC
SExt
AnFF
AnFF
AnFF
WOx (B)
INFLUENT CONCENTRATION - >1 g/L
EFFLUENT
MATRIX SIC SCALE CONCENTRATION PERCENT

C
C
I 49
I 49
S
S
S
S
CODE
B
B
P
P
B
P
P
B2
( rng/L )
3.6
3.0 (1)
0.05
210
<1
0.03
0.7
20
REMOVAL
99.920
99.97
99.997
95.4
>99.947
99.998
99.976
99.89
REFERENCE

1101D
236A
249D
1082E
230A
231A
231A
1054E

...
	
	
	
	
	
	
V--
 WERL TreatahiUty Database
                                      Reference  Number:     231A
 Wang, Y.T.,  M.T.  Suidan,  and  B.E. Rlttman.  "Anaerobic Treatment of Phenol
 by an Expanded-bed Reactor",  Journal WPCF,  Vol.  58,  No.  3,  pp 227-233
 (March 1986).

 Used an upflow,  completely-mixed, expanded-bed anaerobic piloc plant for
 588 days.
          Reactor:
                    Dia.         -  10.2  cm ID
                    Length      -  134.6 cm
                    Flow rate    -  4.5 al/mln
                    Recycle     -  5.1 L/min
                    EBCT        -  1  day
                    Media       -  2.4 kg of GAC
                    Expansion    -  (approx.) 25%
                    Temp.       -  35 C
 *END OF DATA*
                      1-130

-------
  WERL Treatabilicy  Database
                                                  Ver No.  2.0
                                                                        10/26/89
                                      PCB 1254



  CAS  NO.:     11097-69-1

  COMPOUND  TYPE:    PCB,

  FORMULA:     C12  H5  CL5 (48%)


  CHEMICAL  AND PHYSICAL PROPERTIES                                   REF.


      MOLECULAR WEIGHT:  328.4                                       378B
      MELTING  POINT (C) :                                            N#.
      BOILING  POINT (C): 365 TO 390                                 378B
      VAPOR PRESSURE  @ T(C),  TORR:  7.71 E-5 @ 25                    378B
      SOLUBILITY IN WATER @  T(C), MG/L:  0.057 @ 24                  463A
      LOG OCTANOL/WATER PARTITION COEFFICIENT: 6.03 (EST)            378B
      HENRY'S  LAW  CONSTANT,  ATM x M3 MOLE-1:8.37 E-3 @ 25            191B


  ENVIRONMENTAL DATA                                                 REF.


      CHRONIC  NONCARCENOGENIC SYSTEMIC TOXICITY                     NA
      RISK  ESTIMATES  FOR CARCINOGENS                                NA
      DRINKING WATER  HEALTH  ADVISORIES/STANDARDS                    NA
      WATER QUALITY CRITERIA                                        345B
      AQUATIC  TOXICITY DATABASE                                     5B


_ FREUNDLICH ISOTHERM DATA

                                                        Ce       X/M
  ADSORBENT                  MATRIX       K      1/N    UNITS    UNITS    REF.

  FILTRASORB 400              C          0.73    1.14    ug/L     mg/gra    764B




                                    PCB  1254

    CAS NO.:  11097-69-1

               INFLUENT  CONCENTRATION  -  0-100 ug/L
                                        EFFLUENT
TECHNOLOGY       MATRIX   SIC SCALE  CONCENTRATION     PERCENT      REFERENCE
                          CODE            ( ug/L )       REMOVAL


AFF             S             B2     0.36 (17)      64            70A    -S-



               INFLUENT  CONCENTRATION  -  MOO-1000 ug/L
                                        EFFLUENT
TECHNOLOGY        MATRIX   SIC SCALE  CONCENTRATION     PERCENT      REFERENCE
                          CODE            ( ug/L )       REMOVAL

AFF             S              Bl     11  (19)        98.9          70A    -S-
                       1-131

-------
WERL Treatability Database            Reference Number:      70A

Vitkus, T., P.E. Gaffney, and E.P. Lewis, "Bioassay System for Industrial
Chemical Effects on the Waste Treatment Process:  PCS Interaction", Journal
WPCF, Vol. 57, No. 9. pp 935-941 (September 1985).

This study presents the results of using a lab-scale, fixed-film biomass to
evaluate long-term effects of continuous exposure to Aroclor 1254.  The
system consisted of a set of four, 6 x 24 in. corrugated glass plates
supported on a tray arranged to incline the plates at a 10 degree downward
angle.  The biomass attaches and grows on the glass.

Data reported is from the unit with 1 ppm feed of Aroclor 1254 and the unit
with 1 ppb feed of Aroclor 1254.  For data on the hexane fe
-------
                SESSION II
CATEGORICAL PRETREATMENT AND LOCAL LIMITS
                   Steve Bugbee, John Cannell, Claudia O'Brien, USEPA
                  ri-i

-------
Categorical Pretreatment and Local Limits
  Steve Bugbee, John Canned, Claudia O'Brien, USEPA
 I.    Overview

II.    Pretreatment Problems

III.   Goals and Objectives

IV.   National Pretreatment Program Strategy

      A.   Standards
      B.   Local Pretreatment Programs

V.    Local Limits

      A.   Evolution of Local Limits
      B.   General Characteristics
      C.   Purposes of Local Limits
      D.   Who Develops Local Limits
      E.   Approaches

VI.   Overview of Methodology for Developing Local Limits

      A.   Collecting Data
      B.   Develop Maximum Allowable Headworks Loadings
      C.   Determine Maximum Allowable Industrial Loading
      D.   Allocate Allowable Industrial  Loading
                                             II-2

-------
     SCOPE OF THE PRETREATMENT PROGRAM
                                                               Municipal Sewage
                                                                    Sludge
                                   Indirect Industrial
                                        Users
                                 [160,000 Industrial/Commercial
                                    30,000 Significant lUs]
                                  [7.7 Million Metric Tons/Year
                                      15,000 Permits]
Domestic Sources
   Stormwater
   (Industrial)
   [25,000 Permits]
  Direct
 Industrial
  Sources
[46,000 Permits]
 Separate
Stormwater
(Municipal)
[169 Cities and
 39 Counties]
                                                         bmbined
                                                         Sewer
                                                       Overflows
                                                         (CSOs)
                                                      [20,000 Overflows]
                                                                         Municipal
                                                                         Treatment
                                                                          Plants
                                                                     vo\[ 15,000 Permits]
         STATISTICS:

         * I Us contribute > 1.4 billion Ibs/yr. of metals and 83 million Ibs/yr of toxic organics to
          POTWs
         * 1500 POTWs receive > 80% of the 40 billion gallon total daily flow and > 90% of
         the 8 billion gallon industrial daily flow
                                          II-3

-------
                 PRETREATMENT PROBLEMS

      Industrial discharges to sewer systems may have serious impacts on
POTW operations, receiving water quality, sludge quality, and compliance with
the NPDES permit.
                                      3 cxoosure o' Workers to
                                       To*iC SuOMan
                                       nazaiQO(ji Fumes
  Limiieo or More
  Exoensive Sludge
  Disposal Ootions
           n ol Collection
      S.siem or of me
      Sijwaae Treatmeni Plant
               Interference
               Plant Treatment
               System
6. Pass-Througb of
 Toxic Pollutants
 into Surface Waters
                                     II-4

-------
       GOALS AND OBJECTIVES
A.    Goals of the CWA

      1.  Protect human health and the environment
      2.  Allow public recreation

B.    Objectives of pretreatment
      1.  Prevent pass
      2.  Prevent interference, including sludge use and/or
         disposal
      3.  Improve/encourage recycling and reclamation
 MECHANISMS TO ACHIEVE OBJECTIVES


  •  National categorical standards

  •  National general and specific prohibited discharges

  •  Local limits developed by each control authority for site-
     specific reasons.
                  II-5

-------
 NATIONAL  PRETREATMENT  PROGRAM STRATEGY
STANDARDS


National Prohibited Discharge Standards
     * Apply to ail non-domestic users of POTWs
     * General prohibition against any pollutant causing:
                 -passthrough
                 -interference
     * Specific prohibitions against discharges which:
                 -create fire or explosion hazard
                 -cause corrosion (pH < 5.0)
                 -cause obstruction (eg. solid or viscous pollutants)
                 -cause interference because of discharge volume or pollutant
                 concentration
                 -excessive heat
National Categorical Pretreatment Standards (see attached list)
      * Technology based
      * 25 categories promulgated with pretreatment standards which focus on
       toxic pollutants
      * locally enforced
Local Limits
      * Developed by POTWs, as a requirement of the approved local pretreatment
       program
      * Implement general prohibition against passthrough and interference
      * Implement specific prohibitions
      * Designed to specifically consider local conditions in addressing environmental
       impacts. Based upon consideration of:
                 -nature of industrial contributions
                 -ability of POTW to accept and treat wastes
                 -receiving stream
                 -sludge management
                 -NPDES permit requirements
                                 II-6

-------
                                      StMMABV STATUS Of NATIONAL CATEGORICAL PKKTREATMEHT STANDARDS:  MILESTONE DATES

                                                                      FINAL  REGULATIONS
                                                                                                                                                  5/19/88
    Industry Category

Aluminum Forming

Battery Manufacturing

Coll Coating (Phase  I)

Coll Coating (Canmaklng)

Copper ForaIng

Electrical and Electronic
  Components (Phase  I)

Electrical and Electronic
  Components (Phase  II)

Electroplating
Inorganic Chemicals
  (Interim, Phase I, and
   Phase II)

Iron and Steel

Leather Tanning and
  Finishing

Metal Finishing
Metal Molding and Casting
  (Foundries)  ,

Nonferrous Metals Forming
  and Metal Powders

Nonferrous Metals Manufacturing
  (Phase I)

Nonferrous Metals Manufacturing
  (Phase 11)

Organic Chemicals, Plastics
  and Synthetic Fibers
40 CFR
Part
467
461
465
465
468
469
469
413
415
420
425
433
464
471
421
421
Proposed
New Source
Rule Date
11-22-82
U-10-82
01-12-81
02-10-83
11-12-82
08-24-82
03-09-83
07-03-803
07-24-80
10-25-83
01-07-81
07-02-79
01-21-87
08-31-823
H-15-82
03-05-84
02-17-83
01-22-87
06-27-84
Promulgation
Date
10-24-83
03-09-84
12-01-82
11-17-83
08-15-83
04-08-83
12-14-83
01-28-81
07-15-83
07-20-77
06-29-82
08-22-84
05-27-82
11-23-82
04 M)f
07-15-83
10-30-85
08-23-85
03-08-84
Ol -21 -88
09-20-85
Effective
Date
12-07-83
04-23-84
01-17-83
01-02-84
09-26-83
05-19-83
01-27-84
03-30-81
08-29-83
07-20-77
08-12-82
10-05-84
07-10-82
01-06-83
05-04-88
08-29-83
12-13-85
10-07-85
04-23-84
03-07-88
1 1 -04-85
BMR Due Date
06-04-84
10-20-84
07-16-83
06-30-84
03-25-84
H-15-83
07-25-84
09-26-81 (Non-lnteg.)
06-25-83 (Integrated)
02-25-84 (TTO)
01-16-78
05-09-83
04-03-85
04-06-83
07-05-83
10-31-88
02-25-84
06-11-86
04-05-86
10-20-84
O6-06-88
05-03-86
PSES 90-Day
Conpllance Compliance Hep
Date Out Dale
10-24-86
03-09-87
12-01-85
11-17-86
08-15-86
07-01-84 (TTO)2
11 -08-85 (As)
07-14-86
04-27-84 (Non-lnteg.)
06-30-84 (Integrated)
07-15-86 (TTO)
07-20-80*
06-29-85
08-22-87
07-10-85
11-25-85
03-31-89 (Subpjri C)
06-30-84 (Part 413, TT")b
07-10-85 (Part 420. TTO)
02-15-86 (Final)
10-31-88
08-23-88
03-09-87
02-22-88 (Subiuri .»
09-20-88
OI-22-tt/
06-O7-8/
03-01-86
02-15-87
11-13-86
09-i9-H4
O2 -06-86
10-12-B6
(17-26-84
O9-28-8't
10-13-86
10-18-811
09-27-H'i
U-20-8/
10-OB-b')
02-23-Hl,
06-29-89
09-2B-H4
IO-08-H5
05-16-86
01 -29-B'J
11-21 HB
06-07 -«'
OV02 H»
I2-I9-HH
414,416    03-21-83
                          11-05-87
12-21-87
                                                      06-20-88
                                                                                                         O2 -114  'M

-------
 0/H-i.
                                                                                                                                            Rev I
/19/88
                                  SUHtAKV STATUS Ot NATIONAL CATEGORICAL FBETRKATMENT STANDARDS:  MILESTONE DATES  (Continued)

                                                                     FINAL REGULATIONS
Industry Category
Pesticide Chemical*
Petroleum Refining
Pharmaceutical*
Manufacturing
Porcelain Enameling
Pulp, Paper, Paper board
Steam Electric Power
Ceneratlon
Timber Produces Processing
Footnotes:
TKo d*t<» af t h» nrnmneil nil* f
40 CFR
Part
455
419
439
466
430,431
423
429
ar parh mtf»onr\
Proposed
New Source
Rule Date
11-30-82
12-21-79
11-26-82
02-27-81
01-06-81
10-14-80
10-31-79
i IB iiflpd to A,
Promulgation
Date
I 0-04 -8 58
10-18-82
10-27-83
11-24-82
11-18-82
11-19-82
01-26-81
et eral n*» t h*» n**u
Effective
Date BMR Due Date
—
12-01-82 05-30-83
12-12-83 06-09-84
01-07-83 07-06-83
01-03-83 07-02-83
01-02-83 07-01-83
03-30-81 09-26-81
i source fltatus of an Industrial I
PSES
Compliance
Dale

12-01-85
10-27-86
11-25-85
o;-oi-84
07-01-84
01-26-84
faclllrv. Industrial f»*<-llll
                                                                                                                                                 90-Day
                                                                                                                                            Compl lance Report
                                                                                                                                                 Due  Date
                                                                                                                                                 03-01-85


                                                                                                                                                 01-25-87

                                                                                                                                                 02-23-86

                                                                                                                                                 09-29-84


                                                                                                                                                 09-29-84

                                                                                                                                                 04-25-H4
 existence or that began construction of the regulated processes prior to that date are considered existing sources.  New sources are facilities that
 began construction of the regulated processes after the date of the proposed rule.

 The compliance date for total toxic organlcs (TTO) for facilities subject to existing source Electrical and Electronic Components, Phase I regulations Is
 July 1, 1984.  The compliance date for arsenic under this category is November 8, 1985.

 The Electroplating proposed rule date Is not used to determine ti    -:w H»UI  e/exlsting source status of a facility.  The Metal Klnlshing proposed rule
 date Is used to make this determination for all electroplating and ueial Mulshing facilities.
4
 The compliance date for Subparts A, B. L, AL, AR, BA, and BC of the Inorganic Chemicals category la July 20,  1980.  The compliance dale for Subparts Al,
 AU, 8L, BM, UN, and BO (except discharges from copper sulfate or nickel aulfate processes) Is August 22, 1987.  The compliance date tor copper suit alt- or
 nickel sulfate processes and for all Subparts of Part 415 not listed above Is June 29, 1985.

 These dates' apply only to Subpart C.

 Existing sources that are subject to the Hetal Finishing standards in 40 CFR Part 433 must comply only with the Interim llalt for Total Toxl.  organ its
 (TTO) by June 30, 1984.  Plants also subject to the Iron and Steel Manufacturing standards In 40 CFR Part 420 must comply with the Interim  rro linli  l>y
 July 10, 1985.  The compliance date for metals, cyanide, and final TTO Is February 15, 1986 for all sources.

 These dates are for subpart J, tungsten category

 On July 25, 1986, the Eleventh Circuit Court of Appeals remanded to the EPA the final regulation originally promulgated on  O. • tuber  4.  I9H'>  lor  i he
 Pesticide Chemical* category.  EPA removed the regulation from the Code of Federal Regulations on4December 15, 1986 (40 KR  44911).

Note:  The compliance date for any dlacharge that is subject to pretrtatment  standards for new source facilities (HSNS)  Is ilie s.ime  il.iii- .is  i h.-
       'commencement of the discharge.

-------
LOCAL PRETREATMPNT PROGRAMS
Requirement for Local Program
     * greater than or equal to 5 million gallons per day (mgd) design flow = local
       pretreatment program required

     * less than 5 mgd =  program may be required where necessary to prevent
       passthroughand interference
Local Program Components

     * Legal authority              * POTW sampling of industrial users
     * Industrial user survey         * Enforcement
       and pollutant characterization  * Reporting to the State or EPA
     * Local limits                 * POTW inspections of industrial users
     * Industrial user control         * Industrial user  ^onitoring and reporting
       mechanisms (eg. industrial user permits)
                              II-9

-------

           Number of Local Approved Pretreatmenl Programs
                Required Local Programs - 1481
                Total Approved Prograw - 1429
                                         Region 1   75
                                             2   79
                                         Region 3  137
                                         Reckn 4  39*
                                         Region S
                                         Region 6
                                         Recta 7
                                         Region 8
                                         Region 9
                                         Region 10
325
124
77
52
121
43
 1977

 1978

 1981


1985

1987
EVOLUTION OF LOCAL LIMITS

    Use of local limits initially proposed

    Local limits adopted

    40 CFR § 403.5 (c), (d), (e) promulgated by
    EPA

    Local limits policy memorandum

    Guidance Manual on the Development and
    Implementation of Local Limitations Under I IK
    Pretreatment Program
                   11-10

-------
       NEED FOR LOCAL LIMITS

   Categorical standards do not address all contributed
   pollutants

   Categorical standards do not regulate other significant
   industries
   Categorical standards may not adequately protect a
   particular POTW, its collection system, sludge quality, or
   personnel
        GENERAL CHARACTERISTICS OF
         CATEGORICAL PRETREATMENT
        STANDARDS AND LOCAL  LIMITS
CHARACTERISTICS

     Basis

 Type of Limitations

    Objective


     Units


 Point of Application
     CATEGORICAL
PRETREATMENT STANDARDS

      Technology (BAT)

   Production/Concentration

     Baseline Requirements
   Daily Maximum/Maximum
      Monthly Average

    End of Regulated Process
    LOCAL
   LIMITS

Technical Evaluation

  Concentration

Local Environmental
   Objectives

Instantaneous/Da i ly
   Maximum

   End of Pipe
                      11-11

-------
PURPOSES OF LOCAL LIMITS


      •   Protect receiving stream

      •   Correct existing problems

      •   Prevent potential problems

      •   Protect POTW/personnel

      •   Increase efficiency and cut
         O & M costs

      •   Increase sludge disposal options
 WHO DEVELOPS LOCAL LIMITS?
            [40 CFR § 403.5]

 All POTWs required to have a pretreatment program must
 develop and enforce local limits to implement the
 general and specific prohibited discharges

 All other POTWs with existing pass through or
 interference problems must also develop and enforce local
 limits.
                  11-12

-------
        POLLUTANTS OF CONCERN

 Types of Pollutants        Sources          Origin

  Conventionals        •  Industrial         •  Pipe
  Toxic pollutants      •  Commercial       •  Truck
  Nonconventionals     •  Residential        •  Rail
  Whole effluent toxicity
    APPROACHES FOR ESTABLISHING
               LOCAL  LIMITS

     Allowable headwords loading

     Collection system

     Industrial user ma^^ment practice plans

     Case-by-case permitting
   OVERVIEW  OF METHODOLOGY
  FOR  DEVELOPING LOCAL LIMITS
Step 1   Collect data for local limits development

Step 2   Develop maximum allowable headwords loadings

Step 3   Determine maximum allowable industrial loading

Step 4   Allocate allowable industrial loading
                   11-13

-------
STEP  1. COLLECTING  DATA FOR LOCAL
            LIMITS DEVELOPMENT
      Identify pollutants of concern
      Determine applicable environmental criteria
      Collect site specific data from:

      -  POTW treatment plant
         Industrial users
         Domestic/background sources
           Conduct headworks analysis
STEP 2.  DEVELOP MAXIMUM ALLOWABLE
              HEADWORKS LOADINGS

           May be Based on:

           •  Water quality criteria/standards

           •  NPDES limits

           •  Operational problems/inhibition

           •  Sludge disposal options
                    11-14

-------
STEP 3.  DETERMINE MAXIMUM ALLOWABLE
                INDUSTRIAL LOADING

       •  Subtract domestic/background contributions

       •  Subtract safety/growth factors
  STEP 4. ALLOCATE ALLOWABLE
           INDUSTRIAL LOADING

       •  Conservative pollutants

         -  Uniform allocation to all Ills

         -  Uniform allocation to selected lUs

         -  Varying allocations to lUs

       •  Nonconservative pollutants
                    11-15

-------
                       INDUSTRIAL FLOW
DOMESTIC FLOW
                             Inhibition threshold values
                             Activated sludge (C
                             Anaerobic digestion
                                                                                            LAND APPLICATION
                                                                                 TREATMENT PLANT
                                                                                           RECEIVING STREAM
                                                                          background concentration (CjJ
                                                                          stream water quafity standard (C^J

-------
TOXICITY REDUCTION IN INDUSTRIAL EFFLUENTS
                   James Patterson, Patterson & Schafer
                    11-17

-------
                TOXICITY REDUCTION  IN
                  INDUSTRIAL EFFLUENTS
               James W. Patterson, Ph.D.
                Patterson Schafer, Inc.
                       Suite 917
                  39  S. LaSalle  Street
                  Chicago,  IL   60603
 I.   Introduction

     A.   In-plant control options

          1.   Source elimination

          2.   Source segregation
               a)   Recycle/recovery/reuse
               b)   Off-site management
               c)   Segregated treatment and discharge

     B.   End-of-pipe control options

          1.   Equalization
          2.   Pretreatment
          3.   Combined Waste Treatment

II.   Sources and Control of Anionic Pollutants

     A.   Aresenite and Arsenate

          1.   Industry sources and concentrations (Table 1)

          2.   Treatment processes (Tables 2 and 3)
               a)   Precipitation
               b)   Coprecipitation
               c)   Other processes

     B.   Hexavalent Chromium

          1.   Industry sources and concentrations (Table 4)

          2.   Treatment processes
               a)   Chemical reduction (Table 5)
               b)   Ion exchange (Table 6)
               c)   Evaporative recovery
               d)   Full-scale performance
                           11-18

-------
      C.  Cyanide

          1.  Industry sources and concentrations (Tables 7 and 8)

          2.  Treatment methods

              a) Electrolytic decomposition (Table 9)
              b) Alkaline chlorination  (Tables 10 and 11)
              c) Ozonation  (Table 10)

          3.  Performance of Cyanide treatment processes

      D.  Fluoride

          1.  Industry sources and concentrations (Table 12)

          2.  Treatment processes (Table 13)

              a) Lime precipitation
              b) Alum coprecipitation
              c) Adsorption
              d) Efficiencies of fluoride treatment technologies

      E.  Selenite and Selenate

          1.  Industry sources and concentrations (Table 14)

          2.  Treatment processes (Tables 15 and 16)

III.  Sources and Control of Cationic Metallic Pollutants

      A.  Cadmium

          1.  Industry sources and concentrations (Table 17)

          2.  Treatment processes

              a) Hydroxide precipitation (Table 18)
              b) Sulfide precipitation  (Table 19)
              c) Ion exchange

      3.  Trivalent Chromium

          1.  Industry sources and concentrations (Table 20)

          2.  Precipitation treatment (Table 21)

      C.  Copper

          1.  Industry sources and concentrations (Table 22)
                            II-19

-------
     2.   Treatment processes

         a)  Hydroxide precipitation  (Table  23)
         b)  Sulfide precipitation  (Table  24)
         c)  Ion  exchange
         d)  Electrolytic  recovery  (Table  25)

D.   Ferrous and Ferric Iron

     1.   Industry sources and concentrations  (Table 26)

     2.   Oxidation-precipitation treatment  (Table 27)

E.   Lead

     1.   Industry sources and concentrations  (Table 28)

     2.   Precipitation treatment (Table 29)

F.   Mercury

     1.   Industry sources and concentrations  (Table 30)

     2.   Treatment processes (Table  31)

         a)  Sulfide precipitation
         b)  Ion  exchange
         c)  Coagulation
         d)  Adsorption

G.   Nickel

     1.   Industry sources and concentrations  (Table 32)

     2.   Treatment processes

         a)  Precipitation (Table 33)
         b)  Ion  exchange
         c)  Evaporative recovery
         d»  Reverse osmosis

H.   Zinc

     1.   Industry  sources and concentrations  (Table 34)

     2.   Treatment processes

         a)  Hydroxide precipitation  (Table 35)
         b)  Sulfide precipitation (Table 36)
         c)  Reverse osmosis (Tables  37 and 38)
        d)  Electrolytic recovery (Table 39)
         e)  Evaporative recovery (Table 40)
                        ri-20

-------
                           REFERENCES


Note;  All information not otherwise referenced is taken from -
Patterson, J.W., Industrial Wastewater Treatment Technology,
Butterworth Publishers, Inc., Stoneham, Massachusetts, 1985.


Eller, J. et al, "Water Reuse and Recycling in Industry," Journal
American Water Works Association, 62:3, 1970.

Kosarek, L. J., "Water Reclamation and Reuse in the Power,
Petrochemical Processing, and Mining Industries," in Proceedings,
Water Reuse Symposium, AWWA Research Foundation, Denver,
Colorado, 1979.

Matthews, J.E., Industrial Reuse and Recycle of Wastewaters,
U.S. Environmental Protection Agency Report EPA-600/2-80-183,
Kerr Laboratory, Ada, Oklahoma 74820, 1980.

National Academy of Sciences - National Academy of Engineering,
Water Quality Criteria, Washington, D.C., 1972.

National Association of Manufcturers, "Water Reuse in Industry,"
Washington, D.C., 1965.

Patterson, J. W., Industrial Wastewater Treatment Technology,
Butterworth Publishers, Inc., Stoneham, Massachusetts, 1985.

Schmidt, C.J. et al, "Wastewater Reclamation and Reuse at
Military Installations," in Water Reuse, E. J. Middlebrooks,
editor, Ann Arbor Science Publishers, Ann Arbor, Michigan, 1982.

Treweek, G.B., "Industrial Reuse of Wastewater: Quantity, Quality
and Cost," in Water Reuse, E.J. Middlebrooks, editor, Ann Arbor    „_
Science Publishers, Ann Arbor, Michigan, 1982.                     *•
                          11-21

-------
Table 1.  Arsenic Concentrations  Reported  for  Industrial Wastewaters
Source
Insecticide Manufacture
Gold Ore Extraction
Gold Ore Extraction
Acid Mine Drainage
Acid Mine Drainage
Sulfuric Acid Manufacture
Zinc Ore Extraction
Copper Ore-Slag Granulation
Copper Ore-Acid Leaching
Copper Ore-Acid Leaching
Arsenic Trioxide Plant
Electrolytic Copper Refining
Boric Acid Production
Ammonia Manufacture
Wood Products Preserving
Timber Products Processing
Geothermal Water 0
Geothermal Power Plant Condensate
Coal-Fired Power Plant Ash
Pond Water 0.
Steam Electric Plant Cleaning
Coal Cleaning Leachate
Reference numbers from Patterson,
Treatment Technology, Butterworth
Arsenic (met/1)

Total Soluble Reference
362
910 10.1
1012 132
6.0-22.0
2.3
200-500
0.1-0.68
0.05-5.70
0.15-19.0
230
310
0.001-51
0.04-0.92
430
13-50
0-14
.03-3.0
11
001-1.0
0.0-310
0.76
1985, Industrial Wastewater
Pub 1 i shers , lncT7 Stoneham,
14
11
11
12
15
13
9
10
10
15
10
10
16
17
18
19
6
21
6
20
22
MA.
    Table 2,   Pilot Treatment Systems for Arsenic Removal
System
Iron
Low Lime
High Lime
Coagulant
Ferric
Lime 8
Ferric
Lime @
sulfate 3 45 mg/1 Fe
260 mg/1
sulfate 6 20 mg/1 Fe
600 mg/1
PH
6.0
10.0
11.5
    Table 3.   Pilot Plant Arsenic Removal
System
Iron
Low Lime
High Lime
Cumulat
Settling
90
79
73
ive Percent
+ Filtration
89
79
75
Removal
+ Carbon
96-98
82-84
84-88
Effluent
Concentration
(m
0.06
0.92
0.77
                              11-22

-------
Table 4.  H*xavalent Chromium Waatewater Sources  and Concentrations
c
Industrial Source Av
Leather Tanning 40
Sodium Dichromate Production
Sodiam Dichromate-Chromic
Acid Manufacture 1300
Chromic Oxide Production 101
(Particulate
Chrome Pigments Production
Multiproduct Pigments
Manufacturing
Paint Manufacturing
Dye Bouse Haste 300
Ink Formulating Waste 150
Municipal Refuse Incinerator
Scrubber Water 0.5
Ferroalloy Manufacturing
Aluminum Manufacturing 136
Production of:
Automobile Grills 700
Automobile Parts 30
Automobile Parts 11.5
Carburetors
Carburetors 91
Missile Parts 1
Typewriters and Office Machines 16
Silverware 5
Metal Fasteners 52
Ornamental Metal Parts 9
Specific Metal Treatment Operations:
Bright Dip Rinse
Bright Dip Bath
Etching Bath
Anodizing Bath 173
Anodizing Bath
Anodizing Rinse 49
Anodizing Rinse
Anodizing Rinse
Anodizing and Plating Rinse 10.4
Plating 1300
Plating 600
Plating
Plating
Plating 688'
Plating Bath Rinae 450
Plating Bath Rinsa 2310
Platinct Bath Rinse 73
Chromium (VI)
Saneje

560-1490

-
-
CrO,)
J 17-957

2-2000
0.4-7.5
-
-

-
0.06-121
-

-
-
-
46-81
-
_
-
-
-
-

1-6
10,000-50,000
200-58,000
-
15,000-52,000
-
30-100
0.2-30
-
-
-
100,000-270,000
60-80
-
-
-
-

Reference
2
3

4
5

6

7
a
9
3

10
11
12

13
13
14
15
16
13
13
13
13
14

7
2
18
19
20
19
20
21
16
22
2
20
23
24
24
25
26
  Ra£«r«nca number* from Patterson,  1985
Table  S.   Summary of Treatment Levels Reported for Hexavalent
  Chromium Wastes-Chemical  Reduction
Chromium(VI) Concentration (mg/1)
Treatment Chemical
Sulfur Dioxide
Sulfur Dioxide
Sulfur Dioxide
Sulfur Dioxide
Sulfur Dioxide
Sulfur Dioxide
Bisulfite
Bisulfite
Bisullfite
Bisulfite
Bisulfite plus
Hydrazine
Metabisulf ite
Metabisulfite
Metabisulf ite
Metabisulfite
Ferrous Sulfate
Ferrous Sulfate
(Waste Pickle Liquor)
Initial
100
-
-
-
-
0.23-1.5
140
-
450-688
10.4

8-20. S
70
-
-
-
-

1300
Final
<0.05
0.3-1.3
1.0
0.01
0.05
0.1
0.7-1.0
0.05-0.1
<0.10
<0.005

0.1
0.5
0.025-0.05
0.1
0.001-0.4
1.0

0.01
Reference
5
39
41
42
43
44
27
49
24
16

29
32
100
S3
54
57

4
  ^leference numbers from Patterson, 1985

  Table 6.  Ion Exchange Performance in Hexavalent Chromium
   Removal
Waatewater Source
Cooling Tower
Slowdown



Plating Rinsewater

Pigment Manufacture
* Ibs chromate/ ft
ChromiumL
Influent
17.9
10.0
7.4-10.3
9.0
44.8
41.6
1,210
resin
mq/1 Resin
Effluent Caoacitva
1.8 5-6
1.0 2.5-4.5
1.0
0.2 2.5
0.025 1.7-2.0
0.01 5.2-6.3
<0.5

Reference
71
73
74
75
76
77
78

  Reference numbers  from Patterson,  1985
                              11-23

-------
Table 7.  Concentrations of Cyanide  in  Plating Wastewaters
Average
Process (mq/l>
Plating Rinse 2
Plating Rinse 700
Plating Rinse
Plating Rinse 32.5
Plating Rinse 25
Plating Rinse
Plating Rinse
Plating Rinse 3
Plating Rinse 55.6
Bright Dip
Alkaline Cleaning Bath
Plating Bath 30,000
Plating Bath
Plating Bath
Brass
Bronze
Cadmium
Copper
Silver
Tin-Zinc
Zinc
Range
(mq/1)
0.3-4

10-25


60-80
30-50

1.4-256
15-20
4,000-8,000

45,000-100,000

16,000-48,000
40,000-50,000
20,000-67,000
15,000-67,000
12,000-60,000
40,000-50,000
4,000-64,000
Reference numbers from Patterson, 1985
Table 8. Cyanide Levels in Wastewatern Other Than
Plating Industry


Industrial Source
Blast Furnace Scrubber Water
Blast Furnace Scrubber Water
Blast Furnace Scrubber Water
Ferroalloy Scrubber Waters
Coke Plant Waste Streams
Coke Oven Liquor
Decantation Tank
Final Cooler Condensate
Benzole Separator
Oil Generation Plant Separator
Spent Limed Liquor
Coke Plant Ammonia Liquor
Coke Plant Ammonia Liquor
Coke Plant Ammonia Liquor
Coke Plant Waste
Coke Plant Waste
Coke Plant Waste
Color Film Bleaching Process
Hydrogen Cyanide Manufacturing

Coal Conversion Wastes
Coal Conversion (Synthane)
Gold Ore Extraction
Explosives Manufacture
Petroleum Refining
Paint and Ink Formulation

Cyanide
Concentration
(mq/1)
0.2-1.4
2.4
48.5
0.7-5.4

0-8
8
196
2736
104
4
2-44.5
20-60
7.5-39.6
10.0-38.1
100
91-110
71
14-42
(28 avg)
2-30
1-6
18.2-22.3
0.0-2.6
0.0-1.5
0.0-2.0

Reference
2
3
4
5
6
7
8
9
2
8
8
10
11

8,12-14






From the



Reference
15
15
16
17
18






19
20
21
22
23
15
24
25

26
23
27
28
28
28
Reference numbers from Patterson,  1985
                          11-24

-------
Table 9.  Electrolytic Decomposition of  Cyanide Waste
Initial Cyanide Tim« to
Run Concentration Decompose
No. (mg/1) (Days)
1 95,000 16
2 75,000 17
3 50,000 10
4 75,000 18
5 65,000 12
6 100,000 17
7 55,000 14
8 45,000 7
9 50,000 14
10 55,000 8
11 48,000 12
Final
Cyanide
Concentration
(mg/1)
0.1
0.2
0.4
0.2
0.2
0.3
0.4
0.1
0.1
0.2
0.4
Table 10. Treatment Levels for Cyanide Wastewaters
Cyanide Concentration
(mq/1)
Treatment Process Initial Final
Alkaline Chlorination3 28(avg) 2.0
Alkaline Chlorination3 - 1.7
Alkaline Chlorination3 _ 0 x
Alkaline Chlorinationb - 0.4
Alkaline Chlorinationb 700 0.0
Alkaline Chlorinationb 32.5 0.0
Alkaline Chlorinationb 1.3 0.25
Alkaline Chlorinationb - 0.6
Alkaline Chlorinationc 5.1 0.1
Electrolytic
Decomposition 45,000-100,000 0.1-0.5
Electrolytic Decompositon 20 0.5
Ozonation 25 0.0
fca Single-stage chlorination.
Two-stage chlorination.
High-pH, high-temperature process.
Reference numbers from Patterson, 1985
Table 11. Summary of Plating Industry Cyanide
Range of
No. of Flows
Treatment Process Plants (1,000 qpd)
Batch Chlorination 9 1-624
Continuous Chlorination 16 23-1,000
Integrated Process 5 18-192
Electrolytic Decomposition 2 60-630
Evaporation 5 8-100
Percent
Removal Reference
92.9 25
67
40
10
100 3
100 5
80.7 68
68
98 44
99.99+ 11
97.5 50
100 7
Treatment
Effluent Cyanide
(mg/1)
Range Avg
•CO.01-0.2 <0.04
0.0-<1.0 <0.10
0.02-<0.10 <0.05
0.35-1.0 0.68
<0. 3-1.1 <0.55
                   11-25

-------
Table  12.   Reported Fluoride  Levels  in  Industrial  wastewaters


Source
Computer Circuits
Printed Cir".- i •' -.•-£ ;
Aluminum ore SPS? : v. '.no
Coke Plant Aima»ni.-<
Recovery Still
Steel Manufacture
Sintering Plants
Blast Furnaci
Basic Oxygen Furnace
Open Hearth f irnare
Electric Arc Farnacc
Fluoride Concentration
(ma/1 •
Banqe Avg Reference
57.8 7
'7.5 !5
10,2-1,500 147.7 9

10--100 - 10
^
8.5
Q, 49-23. C 14.0
3.75-! '. 9.1
4>-3~Ur 106.5
1-V - 8.2
Aluminum Production
  (Gas Scrubber Wast'?)

Phosphate Ore
  Furnace Slag Quench
                                       73-270
'1,000
           11
                                                                12
Phosphoric Acid Production
Phosphoric Acid Production
Phosphoric Acid Production
Phosphoric Acid Production
Phosphate Fertilizer Plant Waste
Phosphate Fertilizer Plant Waste
Hydrogen Fluoride Manufacture
Hydrogen Fluoride Manufacture
Glass Manufacture
TV Picture Tube
Incandescant Bulb Frost
Pressed and Blown Glass
Fluobocate Plating Bath
Titanium Descaling Bath
Aluminum Deoxidizer Bath
Steel Alloy O-ssca'.ing B'sth
Acidic Coal Cleaning Haste
30-150
4,000-1:;, ooo
11,100
1, ,460
308
1,050
13.0
193

143
•>.,30C
194-1, ?8C
.1 .: 4
6o,ooo-" • . :• •..'
2,250
16,000 ' !-; ,'" '
.-.. . 	 	 __ 81
13
14
14
14
15
16
17
18
5



S
19
19
19
20
Reference nunibar* froa-. Patterson, 1985
Table 13.  Su/ratecv  
-------
 Table 14.   Industrial  Sources and Haatswater Concentrations of
   Selenium
Industry
Coal Mining
Coal File Drainage
Power Plant Scrubber Waste
Power Plant Ash Pond
Incinerator Ash Quench Hater
Petroleum Refining
Iron and Steel
Continuous Casting
Basic Oxygen Furnace
Iron Ore Milling
Copper Production
Ore Milling
Milling and Smelting
Milling, Smelting and Refining
Smelting and Refining
Lead/Zinc Ore Milling
Molybdenum Ore Milling
Titanium Ore Milling
Zinc Smelting
Hydrofluoric Acid Production
Copper Sulfate Production
Seleniun
Concentration
(uq/1)
2-50
1-30
1-2,200
<20-2,500
1-170
3-42
5-23
25-62
220
37
20
200
320
220
700
20-140
40
15
7,000
63
200
Reference
1
2
3
4
2
1
5
1
1
1
1
1
1
6
1
1
1
7
1
8
 Reference  numbers  from Patterson,  1985
Table 15.  Pilot Treatability Results for Selenium
Treatment
                                       Cumulative Percent Removal	
                      Initial Se                              Activated
                         (ug/1)   Sedimentation + Filtration +•  Carbon
Lime at 415 mg/1
  to pH 11.5

Ferric chloride at
 40 mg/1 as Fe and
                         500
                                      36
                                                     35
                                                                 96
pH 6.2
Alum at 220 mg/1 and
pH 6.4
50

500
68

53
80

48
77

82
     Table 16.  Removal of Selenium by Bench-Scale Advanced
      Wastewater Treatment Processes
     Process
                                                           Percent
                                                            Removal
     Lime Precipitation-Settling (pH 7.6)

     Cation Exchange

     Cation Plus Anion Exchange

     Process Sequence*
      1st sand Filtration
      2nd Activated Carbon
       3rd Cation Exchange
       4th Anion Exchange
 16.2

  0.9

 99.7
 9.5
43.2
 44.7
 99.9
     a Cumulative removal after lime  precipitation  plus  indicated
      process sequence.
                           11-27

-------
 Table 17.  Cadmium Concentrations  Reported  for Industrial
   Hastewaters
Process
Plating Rinse Haters
Automobile Heating
Control Manufacturing
Automatic Barrel Zn and Cd Plant
Mixed Plating, Manual Cd
Mixed Manual Barrel and Rack
Large Installations
Rinse Dragout
Rinse Dragout
Rinse Dragout
Rinse Dragout
Rinse Dragout
Large Job Shop
Recirculating Rinse
Metal Finishing Plant
Bright Dip and Passivation
Plating Baths
Nonferrous Metals Manufacture
Copper Smelting
Lead Smelting and Refining
Zinc Smelting and Refining
Copper and Zinc Smelting
Zinc Smelting and Refining
Iron and Steel Manufacturing
Iron Foundry Wastewater
Paint and Ink Formulation
Rubber Processing
Porcelain Enameling
Acid Lead Mine Drainage
Acid Mine Drainage
Coal Cleaning Acid Leachate
Cadmium
Concentration
(rnq/l)


14-22
10-15
0.9
7-12
15 avg, 50 max
48
158
0.1-6.0
0.4
58
3.1
1,000-3,330
2-8

2,000-5,000

0.09-1.08
0.08-1.20
0.02-33.0
15
0.02-33.0
0.00-80
0.16-0.95
0.00-0.81
0.00-0.72
0.00-9.60
1,000
400-1,000
0.21
Reference


4
5
6
5
7
8
9
10
11
11
12
10
13

5

14
15
15
11
16
17
18
17
17
17
1
19
20
Reference numbers from Patterson,  1985
Table 18.  Hydroxide Precipitation Treatment for Cadmium
Method
Hydroxide Precipitation





Hydroxide Precipitation
plus Filtration
Hydroxide Precipitation
plus Filtration
Initial
Treatment Cd
pH (mq/1)
8.0
10.0
9.0
9.3-10.6
-
9.4-10.2
10.0
10.0
11.0
11.0
_
-
-
4.0
5.2
1.2
0.34
0.34
-
-
Final
Cd Percent
(ma/D Removal Reference
1.0
0.10
0.54
0.2
0.4
0.7
0.054
0.033
0.00075
0.00070
„
-
-
95
92
45
84.1
90.3
-
-
23
23
24
6
6
6
18
18
25
25
Hydroxide Precipitation
 plus Filtration            11.5

Hydroxide Precipitation
 plus Filtration

Coprecipitation with
 Ferrous Hydroxide           6.0

Coprecipitation with
0.014
0.08
0.050
26


27


26
Ferrous Hydroxide
Coprecipitation with Alum
10.0
6.4
0.044
0.7 0.39 45
26
28
Reference numbers from Patterson, 1985
 Table 19.  Comparison of Lime and Lime plus Sulfide Precipitation
   of Cadmium
Initial
Concentration
0.40
15.00
58.00
1.40
1.40
Treatment
DH
9.0
8.5
10.0
8.5
10.0
Lime -
Settled
0.098
0.080
1.130
0.432
0.073
Lime -
Filtered
0.011
0.007
0.923
0.360
0.066
Lime +
Sulfide-
Settled
0.055
0.050
0.026
-
-
Lime +
Sulfide-
Filtered
0.029
0.002
<0.010
-
-
                                11-28

-------
  Table 20.  Trivalent and Total Chromium Content of  Industrial
   Nastewaters•
Source
Ornamental Metal Facility
Total Waste
Cooling Tower Slowdown
Sheepskin Tannery
Tannery
Tannery
Steel Mill Effluent
Stainless Steel Acid Rinse
Metal Plating
Circuit Board Chrome Rinse
Aluminum Anodizing
Aluminum Anodizing
Dye House Wastes
Spent Etchants
Piston Ring Coating
Coal Cleaning Leachate
Titanium Dioxide Production
Sodium Dichromate Production
Sodium Dichromate Production
Trivalent Total
(mq/1) (mq/1)
7.25 16
60 250
15-60 15-60
42 42
47-52 47-52
5-10 5-10
3.5 3.6
10.2 11.8
32 105
28 164
1-400 1-430
300 600
7,000- 22,200-
45,000 87,000
0.14-4.7 0.16-4.7
0.42 0.42
50 50
240 800
10 1,500
Reference
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
24
24
Reference numbers from Patterson, 1985
Table 21. Summary of Trivalent
Method PH
Precipitation
Precipitation 8.8
Precipitation 12.2
Precipitation 7-8
Precipitation
Precipitation 8.5
with Sand Filtration 8.5
Precipitation
Precipitation 7.8-8.2
Precipitation 8.5-10.5
Precipitation
Precipitation 8.8-10.1
Precipitation 8.5
Precipitation
Precipitation 9.8-10.0
with Filtration 9.8-10.0
Chromium Treatment
Chromium (mq/lj
Initial Final
0.75
650 18
650 0.3
140 1.0
1300 0.06
7400 1.3-4.
7400 0.3-1.
2.2 0.02
16.0 0.06-0.
26.0 0.44-0.
11.75 2.50
0.6-30
47-52 0.3-1.
164 1
49.4 0.17
49.4 0.05


Reference
5
28
28
33
34
6 37
3 37
40
15 10
86 49
16
50
5 13
18
24
24
Reference numbers from Patterson,
                           H-29

-------
Table 22.  Concentrations of Copper in Industrial Process  Wastewaters
Process
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Plating Rinse
Copper Plating Bath Rinse
First Rinse
Second Rinse
Welding wire Copper Plating
Plating Bath
Spent Acid
Rinsewater
Appliance Manufacturing
Spent Acids
Alkaline Hastes
Integrated Circuit Manufacture
Circuit Board Manufacture
Circuit Board Manufacture
Automobile Heater Production
Metal Finishing
Reference numbers from Patterson,
Table 22. (Continued)
Process
Silver Plating
silver Bearing
Acid Hastes
Alkaline wastes
Brass Plating
Pickling Bath Wastes
Bright Dip Wastes
Aluminum Anodizing
Anodizing and Plating
Anodizing and Plating
Brass Mill Rinse
Brass Mill Rinse
Brass Mill Bichromate picJcle
Brass and Copper wire Mill
Brass and Copper Pickle
Brass and Copper Bright Dip
Copper Mill Rinse
Copper Tube Mill
Copper Wire Mill
Copper Ore Extraction
Gold Ore Extraction
Gold Ore Extraction
Acid Mine Drainage
Acid Mine Drainage
Acid Mine Drainage
Paint Formulation
Ink Formulation
Copper Concentration
(ma/1)
20-120
0-7.9
20 !avg)
5.2-41
6.2-88
2.0-36.0
3-30
11.4
2.8-7.8 (4.5 avg)
21
24
183
2.2
3,640
34
2-10
0.06-11.0
0-1.0
0.23
16.5-77
2.3
24-33 (28 avg)
0.5-5
1985

Copper Concentration
(mq/1)
3-900 (12 avg)
30-590 (135 avg)
3.2-19 15.1 avg)
4.0-23
7.0-44
0.2-2.0
1.3
4.7
4.4-8.5
74-888
4.5-74
75-124
60-90
20-35
19-74
10 (avg)
800 (avg)
0.28-0.33
20
3.2
0.12-3.9
51.6-128.0
3.6-76
0.04-0.40
0.01-6.4
Reference
7
8
9
10
11
12
13
14
15
16
16
17
18
14
19
20
16
21
22

Reference
15
15
23
16
16
24
25
25
13
13
13
24
26
26
27
28
29
30
31
32
33
33 „
                    11-30

-------
 Table  23.   Suaraary  of  Effluent Copper Concentrations After
   Hydroxide Precipitation Treatment
Copper Concentration (mq/i;
Source (Treatment)
Metal Processing (Lime!
Nonferrous Metal
Processing (Lime)
Metal Processing (Lime)
Initial
204-385
-
-
Final
0.5
0.2-2.3
1.4-7.8 (prior
1
Reference
52
53,54
55
 Electroplating
   (Caustic,  Soda
   Ash  +  Hydrazine)

 Machine Plating
   (Lime + Coagulant)
           to sand filtration)

6.0-15.5   0.09-0.24 (sol.)
           0.30-0.45 (tot.)     56
             2.2                57
Metal Finishing (Lime)
Brass Mill (Lime)
Plating
Plating (CN oxidation,
Cr reduction,
neutralization)
Wood Preserving (Lime)
Brass Mill
(Hydrazine + Caustic)
Silver Plating (CN
oxidation, Lime +
FeCl3)
Copper Sulfate
Manufacture (Lime)
Integrated Circuit
Manufacture (Lime)
-
10-20
-
11.4
0.25-1.1
75-124
30 (avg)
433
0.23
0-1.2 (0.19 avg)
1-2
0.02-0.2
2.0
0.1-0.35
0.25-0.85
0.16-0.3 (with
sand filtration)
0.14-1.25 (0.48
avg)
0.05
58
26
59
60
61
62
15
36
19
Reference numbers from Patterson, 1985
Table 24.  Comparison of Lime versus Lime plus Sulfide Precipitation
  Treatment for Copper
Treatment
PH
8.5a
8 .5b
8.5 =
8.5d
9.3=
10. fla
Initial
Concentration
21
7
4
2
1
2
.0
.0
.7
.3
.3
.0
Lime Treatment
Clarified
1
0
0
1
0
0
.30
.04
.14
.80
.24
.91
Filtered
0.
<0.
<0.
0.
0.
0.
37
01
01
20
24
94
Lime plus
Sulfide Treatment
Clarified Filtered
2
0
0
1
0
0
.25
.04
.08
.90
.21
.06
0
<0
0
<0
0
0
.17
.01
.02
.01
.17
.16
Wastewater Source:  a = electroplating     c • electroplating plus
                    b ** smelter scrubbing      anodizing
                                           d « printed circuit board
     Table 25.  Reduction of Copper and Cyanide by Batch
      Electrolysis [93]
Days of Treatment
Start
1
4
6
a
11
18
Copper
(g/1)
26
23
11
6
2
0
-
Cyanide
(mg/1)
75
50
12
5
2


,000
,000
,500
,980
,200
750
0.2
PH
12.2
11.7
10.4
10.0
9.8
9.7
9.5
                               11-31

-------
    Table  26.   Iron Concentrations Reported for Industrial

Source
Steel Manufacture
Waste Pickle Liquor
Waste Pickle Liquor
Pickle Bath Rinse
Pickle Bath Rinse
Pickle Bath Rinse
Steel Cold Finishing Mills
Steel Mill Plant Wastes
Metal Processing and Plating
Appliance Manufacture
Automobile Heating Controls
Appliances
Mixed Hastes
Spent Acids
Chrome Plating
Chrome Plating
Zinc Plating
Copper Plating
Plating Hastes
Plating Wastes
Plating Hastes
Hydrochloric Pickle Acid
Copper Plating Bath
Printed Circuit Board Manufacture
Titanium Dioxide Manufacture
Titanium Dioxide Manufacture
Aluminum Hot Rolling
Paint Manufacture
Ink Formulation
Dye House wastes
Power Plant Operations
Boiler Tube cleaning
Air Preheater Cleaning
Acidic Coal Cleaning Haste

Iron
Concentration
(ma/1) Reference

96,800
70,000
200-5,000
60-1,300
175
60-150
25-75

0.09-1.9
1.5-31

0.2-20
25-60
40
64
3.4
11.6-120
2-4
1.9-7.8
6-25
98,000
23,000
12.5
0.02-31,000
136
3,210
3.8-37.3
134
31.5

1,125
1,860
1,680 (ferrous)
1,630 (ferric)

15
16
17
18
19
20
21

22
23
24


16
25
25
26
27
28
29
26
26
30
31
32
33
34
34
35

36

37

   Reference numbers  from Patterson,  1985
Table 27.  Precipitation Treatment Results  for  Iron Wastewaters
Iron Concentration
(ma/1) Treatment
Source
Base Metal Acid
Mine Drainage3






Initial

713
1202

1138

93

Final

0.54
0.58
0.25
0.42
0.16
0.53
0.22
pH Comments Reference


without filtration
With filtration
Without filtration
with filtration
without filtration
With filtration

46






Boiler and Air
  Preheater
  Cleaning Wastes  1125-1860
Titanium Dioxide
Manufacture
Titanium Dioxide
Manufacture 159

Steel Hill Wastes
(Rinsa I Spent
Pickle) 25-75
Graphite Mine
Drainage
Plating Rinse 7.8
Chrome Plating
Rinse 64
Zinc Plating Rinse 3.4
Iron Blue Pigment
Manufacture
Heavy Farm Equipment
Manufacture 56

0.20

0.48
0.19


1.0

0.10
0.11

<0.05
<0.05

1.0

1.6-3.1

Range 0.1-3.0

10.0 Without filtration
10.0 With filtration

Microflotation for
6.9 solids separation




11.0 with filtration
11.6 With filtration

Range 0.2-2.0

8.5-10.5

31

32



21

55
23

25
25

6

11
1 Pilot plant results
  Reference numbers from Patterson,
                                    1985
                          11-32

-------
Table  28.  Reported  Lead Levels  in  Industrial  Mastevaters
Industry
Battery Manufacture,
Particulate Lead
Soluble Lead
Battery Manufacture,
Particulate Lead
Soluble Lead
Battery Manufacture
Battery Recovery
Plating
Plating
Plating
Plating Pickle Liquor
Television Tube Manufacture
Printed Circuit Board Manufacture
Glass Manufacture
Porcelain Enameling
Chlor-Alkali Plant
Mining Process Water
Ammunition Plant
Tetraethyl Lead Manufacture
Organic Lead
Inorganic Lead
Tetraethyl Lead Manufacture
Spent Ink
Paint Manufacture
Paint and Ink Formulation
Pigment Manufacture
Pigment Manufacture
Lead (ma/1)
5-48
0.5-25
0.4-66.5
2.6-5.1
40.3-319.4
11.7
2-140
0-30
0.2-2.0
10
380-400
1.65
0.43-100
2.9
1,160
0.013-0.098
6.5
126.7-144.8
66.1-84.9
45
94
1.1-10.0
86
1-200
0.2-843
Reference
2
3
23
4
8
6
24
25
26
27
28
29
30
31
32
33
34
35
36
29
37
9
 Reference numbers from Patterson,  1985
 Table 28.  (Continued)
                                             Lead (mcr/1)	Reference
Industry
Textile Dyeing

 Steel Manufacture,
  Vacuum Degassing Process

 Rubber Hose Manufacture,
  Lead Sheath Process

 Foundry
Foundry

 Piston Ring Manufacture
   3.4          38,39


0.47-1.39          20
   63
    7.7
  29-170
   94.6
                  22
 29
40
                  41
     Table 29.  Effect of pH on Lead Removal
Settled Suoernatant [50]
DH
5.2
-
-
7.1
-
-
8.0
9.2
10.5
10. a
11. 0
11.6
n
Lead ( mg/1 )
107
-
-
37
-
-
11.9
10.7
2.9
1.5
4.2
8.9


6
6
7
7
7
8
9
10
10


Soluble Concentration [51]
pH
-
.3
.6
.1
.4
.6
.5
.4
.5
.8


Lead* (aw/1) Leadb
-
24.6 1.
1.10
0.
0.131 0.
0.
0.055 0.
0.215 4.
0.150
8.
-
-
(ma/1)

30

035
025
040
075
10

36


    " Inorganic carbon less  than  2 mg/1.
      Inorganic carbon is  3-5  mg/1.
       Reference numbers  from  Patterson,  1985

                            11-33

-------
Table 30.  Levels of Mercury in  Industrial  Wastewaters
Waste
Paper Mill
Fertilizer Mill
Smelting Plant
Chlor-Alkali Plant
Chlor-Alkali Plant 4
Chlor-Alkali Plant
Chlor-Alkali plant 3
Chlor-Alkali Plant
Chlor-Alkali Plant
Water Based Paint
Paint and Ink Formulation
Acetaldehyde Production
Fluorescent Lamp Production
Coal Fly Ash Pond Effluent
Textile Dyeing Waste
Textile Mill Waste
Secondary Lead Battery Recovery
Rubber Processing
Mercury

20-34
0.26-40
20-40
80-2,000
,600-5,100
1,400-2,800
,000-8,000
300-6,000
21,500
300
0-120,000
20,000
2
2-3
15,000
11
0.66 (Total)
<0.20 (Soluble)
0-720
Reference
9
9
9
9
10
5
11
12
13
7
14
8
15
16
17
18
9
14
Reference numbers from Patterson,  1985
 Table 31.  Summary of Treatment Technology for  Mercury
Technology 	
Sulfide Precipitation
Ion Exchange
Alum Coagulation
Iron Coagulation
Activated Carbon
High Initial Hg
Moderate Initial Hg
Low Initial Hg
Lower Limit
of
Treatment Capability
(Ha, ua/1)
10-20
1-5
1-10
0.5-5

20
2.0
0.25
                 11-34

-------
 Table it.  Summary of Nickel concentrations Reported in
  Wastewaters
Nickel Concentration
Source
Plating Plants
Four plants
Five plants
Rinse waters
Large plating plant
segregated flow
combined flow
Large job shop
Plating of zinc castings
Plating of plastics
Manual Barrel and Rack
Nickel Plate Rinse
Nickel Plate Rinse
Nickel Plating Rinse
Nickel Plating Rinse
Nickel Plating Rinse
Plating and Anodizing Rinse
Mixed Plating Rinse
Mixed Plating Rinse
Electroless copper plating
Tableware Plating
Silver bearing waste
Acid waste
Alkaline waste
Metal Finishing
Mixed wastes
Acid wastes
Alkaline wastes
Small parts fabrication
Brass pickling
Metal forging rinse
Steel pickling
Stainless steel pickling
Stainless steel pickling
Business Machine Manufacture
Plating wastes
Pickling wastes
Range

2-205
5-58
2-900

-
-
-
45-55
30-40
15-25
-
-
-
-
-
-
-
0.93-2.2
0-150

0-30
10-130
0.4-3.2

17-51
12-48
2-21
179-184
-
0.77-1.06
5-10
0.2-400
-

5-35
6-32
AVO

-
24
-

88
46
5.7
-
-
-
132
134
110
119
99
3.2
35
-
-

5
33
1.9

-
-
_
181
3
-
-
-
250

11
17
Reference

3
4
5



7
a
8
8
9
10
11
12
12
12
12
13
14

15
15
15

16
16
16
17
18
19
20
21
22

15
15
Reference numbers from Patterson, 1985
Table 32. ( Continued)
Nickel Concentration
(HKJ/I)
Source
Other
Mine drainage
Acid mine drainage
Acid mine drainage
Alkaline mine drainage
Coal storage pile drainage
Fly ash ponds
Acidic coal cleaning waste
Gold ore extraction
Gold ore extraction
Boiler tube cleaning
Boiler cleaning
acid waste
alkaline waste
Dye house effluent
Paint and ink formulation
Porcelain enameling
Nickel sulfate manufacture
Copper sulfate manufacture
Titanium dioxide manufacture
Sodium dichromate manufacture
Range

0.19-0.51
0.46-3.4
0.01-5.6
0.01-0.18
1-10
0.06-0.15
-
—
-
0.5-15.8

80-400
1-10
67.5
0-40
0.25-67
470-890
-
-
0.6-7.8
Avg

-
-
0.72
0.02
-
-
7.5
1.4
6.5
-



-
0.5
14
-
22
1.3
—
Reference

23
24
25
25
26
26
27
28
29
30



31
32
32
22
22
22
22
Table 33.  Comparison of Lime Versus Lime Plus Sulfide
 Precipitation of Nickel in Electroplating Wastewaters
Wastewater
Parameter
Treatment pH
Initial Nickel, mg/1
Lime Treatment
Clarifier Effluent
Filter Effluent
Lime plus Sulfide
Clarifier Effluent
Filter Effluent
A B
8.5 8.75
119.0 99.0
12.0 16.0
9.4 12.0
11.0 7.0
3.5 4.2
C
9.0
3.2
0.47
0.07
0.35
0.20
                       11-35

-------
      Table 34.   Concentrations at Zinc- in Process  Wastewaters
Industrial Process
Metal Processing
Bright dip wastes
Brass mill wastes
Brass mill wastes
Pickle bath
Pickle bath
PicJcle bath
Wire mill pickle
Electrogalvanizing rinse
Bonderizing baths
Bonderizing rinse
Conversion coating rinse
Plating
General
General
General
General
General
General
Chrome
Nickel
Zinc
Zinc
Zinc
Zinc
Zinc
Zinc
Brass
Brass
Plating on zinc castings
Galvanizing of cold rolled steal
Anodizing plus plating
Zinc Concentration
(ma/11

0.2-37.0
40-1, 4S3
3-10
4.3-4].. I
0.5-37
20-35
36-374
500
1,000-1,000
?'.)
30.7

2.4-13.8
55-120
15-20
5-10
7.0-215
440-;PO
245-1,050
30
480
20-30
70-150
42
70-350
23. 2
11-55
10-60
3-6
2-88
0.3-33
Reference

2
3
3
2
3
4
5
S
7
7
8

9
10
11
4
2
12
13
13
13
4
2
14
15
16
2
13
4
17
12
Reference numbers  from  Patterson, 1985
     Table 34.   (Continued)
1\\-
Industrial Process
Ravon Wastes
General
Sar.eral
Other
Latex rubber products
Vulcanized fiber
Cooling tower blowdown
Cooling tower blowdown
Cooling tower blowdown
power plant boiler cleaning waste
Municipal refuse incinerator
scrubber water
Paint manufacturing wastes
Ink formulating (tub washwater)
Dye house waste
Textile Dyeing waste
Chrome pigment manufacturing
Chrome pigment manufacturing
Hydrofluoric acid production
Sodium bisulfite production
Petroleum refining
Ferroalloy smelting scrubber wa.i-,e*3
Nonferrous smelting'
scrubber water
Lead smelting
Lead battery manufacture
Gold ore milling
Ferrous foundry
Steel making - open hearth
Steel making - degassing
Primary copper smelting anrt refining
Acid plant blowdown
Arsenic plant washdown
Secondary copper manufacturing
Zinc smelting
Combined
Acid plant effluent
Auxiliary metal reclamation L
Scrap steel cupola scrubber wata "
Coal mine drainage
Acidic coal cleaning leachatge
Base metal mine drainage

c. Conc?nr:ra
-------
Table 35.  Summary of Hydroxide Precipitation Treatment Results  for
  Zinc Hastevaters
Zinc Concentration
Industrial (ma/1)
Source Initial
Zinc Plating
General Plating 18.4
General Plating -
General Plating 55-120
General Plating 4.1
General Plating 46
Vulcanized Fiber 100-300
Brass Wire Mill 36-374
Tableware Plant 16.1
Viscose Rayon 20-120
Viscose Rayon 70
Viscose Rayon 20
Metal Fabrication
Radiator Manufacture-
Blast Furnace Gas
Scrubber Water 50
Zinc Smelter 744
1,5-00
Ferroalloy
Wastes 11.2-34
3-89
Ferrous Foundry 72
Deep Coal Mine -
Acid Waters 33-7.2
Final
o.:-o.s
2
0-6
1.0
0.39
2.9
1.9
2.8
2.9
1.0
0.08-1.60
0.02-0.23
0.88-1.5
3-5
1.0
0.5-1.2
0.1-0.5
0.33-2.37
0.03-0.38
0.2
50
2.6
0.29-2.5
4.2-7.9
1.26
0.41
0.01-10
Comments3
pB 8.7-9.3
pH 9.0
sand filtration
pH 7.5
pH 8.5
pH 9.2
pH 9.8
pH 10.5
pH 8.5-9.5
integrated treatment
copper recovery
sand filtration
pH 5
sedimentation
sand filtration
sedimentation
sand filtration
pH 8.8


sedimentation
sand filtration

Reference
46
47
48
10
49
14
23
for 5
2
20
50
19
51
52
53
42
42
26
26
38
1
  All treatment involved
  Special or additional a
  "Comments."
  Reference numbers from
precipitation  plus  sedimentation.
apact3 of treatment are  indicated under

Patterson,  1985
  Table 36.  Comparison of Lime Precipitation versus Two-Stage  Lime
   Precipitation-Sulfide Precipitation Treatment for Zinc
Treatment
Wastewater Source pH
Printed Circuit Board
Plating Rinsewater
Plating Rinsewater
Plating Rinsewater
Plating Rinsewater
Plating Rinsewater
Plating Rinsewater
Plating Rinsewater
Plating Rinsewater
Nonferrous Smelter
3.5
8.75
9.0
8.5
8.75
10.0
8.5
8.5
9.0
8.5
10.0
8.5
Initial
Zinc
(mq/1)
0.770
90.0
11.0
13.0
253.0
290
2.8
440
440
930
930
114
Lime Precipitation
Clarified Filtered
0.430
1.00
2.15
0.625
0.400
1.20
0.044
75.0
37.0
9.6
3.3
0.511
0.053
0.210
0.167
0.010
0.295
0.510
0.010
71.0
29.0
1.4
1.0
0.030
Two Stage
Treatment
0.011
0.010
0.331
0.005
0.008
0.012
0.011
4.7
2.0
0.340
0.036
       Table 37.   Average Performance of Reverse  Osmosis System
Parameter
pH
Zinc (mg/1)
Iron (mg/1)
Phosphate (mg/1 as P)
TDS (mg/1)
RO Feed
5.1
7.3
0.5
414
750
RO Permeate
4.9
2.2
<0.2
109
238
                                11-37

-------
 Table 38.  Pilot Scale Results for Reverse Osmosis Treatment of
  Zinc Hastewater
 Industry Source
                                    Zinc Concentration
                                          (ug/U
                                                         Percent
                                     Feed
                                               Permeate  Removal
 Zinc Cyanide Plating Rinse

 Steam Electric Power Plant
Steam Electric Power Plant

 Textile Mill
Textile Mill
 Textile Mill
Textile Mill
 Textile Mill
 Textile Mill
 Textile Mill
Textile Mill
 Textile Mill
Textile Mill

 Cooling Tower Slowdown
1,700
              30
                       98
300
780
7,200
5,400
460
520
7,200
1,400
4,100
1,200
24,000
9,700
10,000
53
3
140
6,600
250
360
360
30
180
22
430
37
300
82
99
98
(-20)
46
31
95
98
96
98
98
>99
97
 Table 39.  Electrolytic Treatment of Zinc Cyanide  Wastes
Concentration
(mo/1)
Waste
A

B


Parameter
Zinc
Cyanide
Zinc
Copper
Cyanide
Initial
352
258
117
842
1,230
Final
0.7
12.0
0.3
0.5
<0.1
Table 40.  Reported Effluent Zinc Concentrations in the Plating
  Industry
Tvoe of Treatment
Evaporation


Continuous Chemical Precipitation









Effluent Zinc
Concentration
(mq/1)
0.15
18.4
0.12
0.4
0.6
0.25
0.08
0.87
0.35
0.8
0.5
0.5
0.32
Batch Chemical Precipitation



Integrated Process


Electrolytic Recovery
                   0.03
                   5.0
                   0.14

                   0.20
                   0,45

                   0.32
                   7.9
                   0-05
                   0.05
                            11-38

-------
V\fater Pollution Gontid federation
   Metals distributions in activated
   sEudge systems
   James W. Patterson, Prasad S. Kodukula
                 11-39

-------
               » Copyright as pan of the May 1984, JOURNAL WATER POLLUTION CONTROL
                       FEDERATION, Washington, D. C. 20037
                             Printed in U- S. A.
Metals distributions in activated
sludge systems
James W. Patterson, Prasad S. Kodukula
                               11-40

-------
Metals  distributions   in  activated
sludge   systems
James W. Patterson, Prasad S.  Kodukula
  In recent years, there has been widespread  interest in the
chemistry, biological effects, environmental fate, and control of
metals. This interest developed as a result of the recognition of
potential adverse health effects and environmental impacts as-
sociated with wastewater discharge and the disposal of metal-
laden industrial  and municipal wastewater treatment  sludges.
Metals discharging directly from industrial facilities have been
managed  under effluent limitations  guidelines and National
Pollutant Discharge Elimination  System (NPDES) permits.
However, control of industrial and non-industrial metals con-
taminating  combined  municipal-industrial,  publicly  owned
treatment works (POTW) effluents is much more complex.
  Industrial pretreatment programs, such as those successfully
implemented by numerous local authorities,'-2 are intended to
reduce the  industrial  contribution,  and thereby the  overall
POTW influent  metals concentrations, to levels which protect
POTW operation and yield acceptable POTW effluent and sludge
metals concentrations. However, inability to relate influent metal
concentration to POTW intermediate process stage or effluent
and sludge metal concentrations has made the design of such
pretreatment programs difficult, and their predicted effects un-
certain. Indeed,  this lack of an accurate method of predicting
metals distribution has been a key weakness in the development
of effective pretreatment regulations.3
  Metals in municipal wastewater originate  from a variety of
industrial, commercial, and domestic activities,4'7 as well as
storm runoff.8'* Numerous field monitoring studies demonstrated
that the influent metals concentration, and the efficiency with
which metals are removed, varies widely between plants.l0-"
This is demonstrated in the field results summarized in Tables
 1 and 2. Further, there is convincing evidence that at individual
plants, metal influent concentrations can vary widely with time,
falling in diurnal,9-12 weekly" and apparently random'3 patterns.
Depending on the individual metal, the influent, or operational
characteristics of the treatment system, a given metal may cause
POTW operational or environmental problems by:  producing
toxic effects which interfere with the operation  of biological
treatment .A: ems, accumulating on sludge solids to a hazardous
extent during sludge processing or disposal, or appearing in the
POTW effluent  in sufficiently high concentration to result in
adverse receiving water effects.  Typically, POTW influent metals
concentrations are not high enough to affect the treatment ef-
ficiency of biological systems.14
  Numerous researchers reported the results of studies designed
to define, characterize, and describe  the partitioning behavior
of metals in combined wastewater treatment systems.9'l3-13-"
Although metals removal  efficiencies vary  among  full-scale
treatment plants, and with time within individual plants3'"-13-21-26
(see Table 2), some empirical relationships were reported. Kon-
rad and Kleinert27 found fair to good correlation between influent
and effluent concentrations for seven metals in a study of 35
Wisconsin POTWs. Similar results were obtained in another
study of 20 full-scale plants," and in an extensive pilot plant
study.28 Brown et a/.21 observed a linear increase in percentage
total metals removal with increasing total influent metals con-
centrations, for six midwestern POTWs. They also reported a
strong correlation between percentage metals removal and per-
centage suspended solids removal. A similar observation was
made by Haas2' from performance data on six Chicago plants.
Haas noted that total effluent metals increased as effluent sus-
pended solids  increased. Such empirical correlations  do  not
occur uniformly however, and  there currently is no  reliable
method for predicting the behavior of metals in POTW systems.
Development of a prediction  method will be useful in several
ways. Given the influent and operational characteristics of a
wastewater treatment plant, the metal concentrations in the
sludge and the final effluent could be predicted as a function
of influent metal  concentration. Pretreatment standards for
metals from industrial operations could be developed on the
basis of rational POTW performance criteria, and operational
modifications within a POTW could be evaluated with regard
to their impacts on metals distribution and removal.
    Empirical models based on controlled pilot plant
     studies can confidently predict the removal of
         metals by the activated sludge process.
   There seems to be a relative lack of understanding of the
principal mechanisms affecting the distribution of metals be-
tween the soluble and solid phases of activated sludge systems.
Numerous bench- and pilot-scale studies were performed on
metals partitioning in raw wastewater and activated sludge mixed
liquor,17"20'28'30-31  and these studies provided valuable insights
into aspects such as apparent or pseudo-isothermal metals-solids
association, and the influence of soluble phase ligands. It has
been well established that  the kinetics of metals uptake by the
solids are rapid (within the time frame of normal POTW hy-
draulic  residence times),  that metals-solids  associations are
readily reversible,52'" and that pH has a strong influence on the
extent of metal uptake and metal solubility."l718 However, the
effects of other wastewater and process variables are less well
defined.
   It has been postulated that association and dissociation be-
tween activated sludge unit influent metals and mixed liquor
432
                                                       11-41
                                                                           Journal WPCF, Volume 56, Number 5

-------
                                                                                                     Process Research
Table 1 — Influent metals concentrations for 239 publicly
owned treatment plants.10
Influent concentration, MQ/L


Metal
Aluminum
Cadmium
Chromium
Copper
Iron
Lead
Nickel
Zinc


Range
1.7-186000
0.2-2 140
0.8-83 300
01-36500
6.0-999 000
1.0-11 600
2.0-111 400
01-28700

Median
(all
data)
3390
24
400
420
3180
120
230
520

Mean,
<4%
industry
1 796
320
75
151
2581
74
85
417

Mean,
>4%
industry
3457
303
476
489
5339
161
319
640
random concentration mixtures, to pilot activated sludge units.
Concentrations of all metals were set at levels low enough to
avoid inorganic metal salt precipitation and toxic effects.
The pilot plant experimental system incorporated eight parallel
treatment trains. Each train included a dosing tank for adding
a metals mixture to the influent raw wastewater, a primary
clarifier, activated sludge aeration tank, and secondary clarifier.
During each run, a treatment train was dosed with a unique
metals mixture and operated for 3 to 5 weeks under steady-
state dosing conditions. No process stream samples were collected
during the first week following a change in metal dosing mixture.
and 8-hour composite samples were collected 2 to 3 times per
week thereafter for the duration of the run. A total of 39 ex-
perimental runs was performed.
Table 3 presents the average measured concentrations (raw

suspended solids (MLSS) act to buffer the variability  of the
secondary effluent metals content.2:U4 At high influent  metals
levels the MLSS take up a large fraction of the metals, but could
release metals back into solution during episodes of low influent
metals concentrations. A significant portion of most metals in
POTW effluents are in soluble form. The system residence time
of MLSS is long compared to hydraulic residence time (HRT)
and the associated soluble components, and this "buffering"
effect could yield a reduced variation in POTW effluent  metals
as compared to that in the influent.
   This paper describes models developed to predict the distri-
bution of metals in activated sludge system process streams.
The data used to develop the models were obtained through
extended pilot studies.28 The objectives of the study were to
evaluate the effects of wastewater and plant operational variables
on the distribution of selected metals between the soluble and
solid phases of the process streams of a conventional activated
sludge system, and to develop an empirical model which de-
scribes the metals distribution in the individual treatment system
process streams.

MATERIALS  AND  METHODS
   This study focused on eight metals: aluminum (Al), cadmium
(Cd), trivalent chromium (Cr), copper (Cu), iron (Fe), lead (Pb),
nickel (Ni), and zinc (Zn). The trivalent form of chromium was
selected because very little hexavalent chromium is present in
the influent wastewater to most treatment plants, as a result of
reducing conditions.34 The test metals were dosed, as various

Table 2—Metals  removals  measured in  17  activated
sludge POTWs."
Metal
Aluminum
Cadmium
Chromium
Copper
Iron
Lead
Nickel
Zinc
Influent
concentration
range, itg/L
140-4910
1-1 800
8-2380
34-1 190
215-12028
16-935
11-1 930
23-7680
Percent
Range
63-97
(-)50-94
(-)100-96
17-95
67-98
(-)57-94
(-)775-67
55-90
removal
Median
86
50
78
81
88
74
33
81
Table 3—Summary of average raw wastewater total met-
als concentrations, ng/L (Runs 1-39).
Run
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
31
32
33
34
35
36
37
38
39
Al
783
433
1003
1310
678
298
375
372
851
932
383
495
500
295
710
678
678
295
677
520
661
983
655
385
785
240
834
890
669
278
567
216
740
778
1574
1193
678
337
693
Cd
25
42
140
80
12
124
63
143
94
60
28
77
105
154
93
55
12
137
88
138
146
54
24
157
135
128
77
37
11
63
69
98
15
222
87
102
11
87
81
Cr
135
143
174
630
113
84
150
128
838
600
155
159
153
122
1062
460
113
97
183
144
500
420
106
137
109
124
513
530
113
62
90
128
114
253
140
100
113
84
124
Cu
393
359
274
280
90
161
177
530
463
150
429
479
271
625
338
240
90
173
453
625
425
270
308
460
367
180
363
350
90
162
213
210
302
756
1071
510
98
170
269
Fe
1265
1542
1750
1460
1399
1247
1292
1610
4000
2675
1439
1641
1521
2220
3360
1534
1399
1576
636
1510
3225
2510
1378
2243
2492
1488
3200
2350
1399
1527
936
650
1384
2322
2117
1510
1344
1483
671
Pb
81
93
293
140
35
37
75
320
186
150
57
88
158
170
150
90
35
154
267
475
150
140
41
75
221
190
175
180
35
100
143
120
66
200
260
160
50
97
100
Ni
672
756
1629
2740
334
369
1780
1220
2788
838
795
1002
869
986
1220
1615
245
352
2983
3263
1678
1263
699
653
4008
6075
2050
2132
330
366
490
438
603
1522
708
319
216
373
619
Zn
482
413
1114
826
409
383
481
830
733
1583
510
617
643
553
1002
1575
409
450
1114
694
1025
1860
550
477
514
766
1462
2160
409
440
429
644
520
536
540
463
464
413
450
 May 1984
                                                         11-42
                                                    433

-------
Patterson & Kodukula
wastewater background plus dosed increment) of metals in the
raw wastewater for the 39 runs. The dosed incremental metals
concentrations and combinations were selected on a random
basis to simulate low, high, and mixed concentrations of metals
in raw wastewater.
   Domestic wastewater was continuously pumped from a City
of Chicago sewer line serving the campus residence area to a
laboratory grit chamber. Settled grit was discharged. Raw waste-
water overflowed from the grit chamber into a 300-gallon stirred
holding  tank with an average detention time  of 6 hours. The
holding  tank was  equipped with a low-level alarm to cut off
all downstream pumps and valves (except for return activated
sludge pumps), in the event that the raw wastewater flow was
interrupted. The raw wastewater was pumped on a continuous
basis into a small  recirculating header tank, and then to eight
parallel dosing tanks, each with a two-hour detention time.
Prepared concentrated metals mixtures were metered into each
chemical dosing tank, according to the experimental protocol
for that particular run.
  Each dosing tank overflowed at 230 mL/min to that system's
primary clarifier. The primary clarifier overflowed  through a
flow splitter, to control hydraulic loading to the activated sludge
unit. Settled primary sludge (PS) was withdrawn manually each
day. Each activated sludge unit was constructed as a 5-chamber,
100-L total capacity unit. Criteria for the activated sludge and
clarifier units were based on the design of Mulbarger and Cas-
telli."
  Activated sludge mixed liquor overflowed by gravity to the
secondary clarifier, where settled sludge was returned by a peri-
staltic pump to the aeration tank. The recycle ratio used for all
Table 4—Average* and ranges of parameters values— all data.
Parameter
PH
Median
range

Total suspended
solids
Ave
range

Volatile suspended
solids
Ave
range
Soluble organic
carbon
Ave.
range

Aluminum

Total
Ave.
range
Soluble

Ave
range
% Soluble

Ave
Cadmium
Toial
Ave
range
Soluble
Ave.
range
% Solub:,.
Avt.
Chromium
Total
Ave
range
Soluble
Ave,
range
% Soluble
Ave.
RW

7.3
6.7-7.8



83
22-551



62
2-460

36
3-294




652
63-5100

81
11-425

12.4


85
3-650

11
1-305

12.9


241
1-8-1 700

4
2-17

1.7
PE

76
7.3-7.8



52
16-231



36
1-196

19
1-106




478
24-3032

79
8-375

16.5


68
2-514

14
1-295

20.6


170
5-650

5
2-9

29
ML

7.8
76-8.0



1906
610-10116



1 246
150-8106

12
1-200




7 179
526-21 000

61
0-325

0.8


411
4-810

15
1-98

3.6


1292
10-3 150

4
2-9

0.3
SE

8.3
7.9-8.4



23
12-273



13
1-220

11
1-38




455
67-2 732

86
5-350

18.9


44
2-382

13
1-67

29.5


162
31-1600

4
2-5

24
PT^ter
Copper
Total
Ave.
Range
Soluble
Ave.
range
% Soluble
Ave

Iron
Total
Ave
range
Soluble
Ave.
range
% Soluble
Ave

Lead
Total
Ave.
range
Soluble
Ave.
range
% Soluble
Ave.
Nickel
Total
Ave.
range
Soluble
Ave
range
% Soluble
Ave.
Zinc
Total
Ave.
range
Soluble
Ave.
range
% Soluble
Ave.
RW


338
11-2900

17
1-157

5.0



1 778
200-7000
134
5-783

75



142
0-1069

24
2-197

169


1 126
22-8500

319
8-1 168

283


741
100-5000

90
2-1000

12.1
PE


272
3-913

12
1-100

4.3



1228
200-3500
97
5-842

78



100
0-600

33
2-248

33.0


605
5-15000

278
9-1 479

46.0


609
80-3400

80
1-430

13.1
ML


3615
4-8500

14
1-96

04



28184
1 048-8 400
67
3-865

0.2



1 971
11-9000

24
2-474

12


6602
77-23 000

290
5-975

44


11589
1000-36000

79
2-900

0.7
SE


171
11-1 866

14
1-50

82



1025
100-5800
47
3-580

4.7



64
0-1 200

18
2-211

283


715
10-5000

250
3-849

350


514
100-4 100

65
1-900

126
Note—Suspended solids, and soluble organic carbon expressed as mg/L. metals concentrations as M9/L.

434
                                                        11-43
                Journal WPCF, Volume 56, Number 5

-------
                                                                                                      Process Research
activated sludge units in this study was 0.5. Excess sludge was
either wasted directly from the secondary clarifier or by inter-
mittent interval wasting of activated sludge unit overflow, as
was best for controlling sludge age. The HRT and the target
solids retention time (SRT) for all activated sludge units in this
study were, respectively, 6 hours and 10 days. Sampling from
each process stream except primary and secondary sludge (SS)
was by timer activated solenoid switch flow diverters, to yield
8-hour composite samples.
  Composite samples of the dosed raw sewage, primary effluent,
activated sludge mixed liquor, and secondary effluent were col-
lected between 4 and 12 times during each run. Total and soluble
metal analyses were performed on all process liquid samples.
Primary and secondary sludge samples were analyzed for total
metals. In addition, pH, total suspended solids (TSS), and volatile
suspended solids (VSS) were also measured on all samples. Sam-
ples of the process liquids were routinely analyzed for soluble
organic carbon  (SOC),  phosphate,  sulfate,  chloride and  am-
monia-nitrogen (NHrN).
  Analytical procedures. Methods of chemical analysis were in
accordance with EPA methods.36 Metal analyses were performed
by atomic absorption spectrometry with standard additions or,
for low metals concentrations, the flameless technique was used.
Total metals were determined using standard digestion proce-
dures.36 Soluble metal was determined on sample nitrate, using
a 0.45 jtm membrane acid-washed filter. Soluble organic and
inorganic carbon concentrations were determined by a carbon
analyzer. Ammonia, orthophosphate, chloride, and sulfate were
measured according to EPA procedures.36 TSS is reported as
the weight of the dry solids per liter of sample retained by a
0.45 pm membrane filter. VSS is reported as the weight of TSS
volatilized after ignition at 600°C.

RESULTS  AND DISCUSSION
   System performance characteristics. The range and average
values of various parameters for raw wastewater (RW), primary
effluent (PE), mixed liquor (ML), and secondary effluent (SE)
for the 39 runs are summarized in Table 4. Table 5 summarizes
primary and secondary  sludge results.  Ranges are for all data
collected, and the averages ?.;e calculated  from the  averaged
results of each run. As is evident in Table 4. a wide range of
values for each  parameter was observed in the raw wastewater
feed. As would be expected, the range of values for other process
liquids is also wide.
   The influent wastewater to the pilot  treatment systems was
relatively weak,  averaging 83 mg/L TSS and 38 mg/L SOC.
Influent NH3-N averaged 3.5 mg/L and effluent NH3-N averaged
0.4  mg/L. The primary clarifier  effluent  TSS  averaged 52
mg/L, representing a primary clarifier TSS removal efficiency
of 37%. Overall  TSS removal efficiency, from RW to SE, was
72%. There was a strong correlation between VSS and TSS.
The ratio of VSS to TSS in all process streams was approxi-
mately 0.7.
   The primary clarifiers sometimes performed erratically, with
occasional negative TSS removal  efficiencies.  Settled sludge
bridging was a problem in the secondary clarifiers, and sometimes
resulted in the interruption of sludge return to the aeration tank.
Mechanical rakes were eventually installed  in the secondary
clarifiers, and effectively solved this problem. There was very
little primary or excess secondary sludge produced because of
the weak influent.
Table 5—Averages and ranges of primary and secondary
sludge values—all data.
        Parameter
Primary
 aludg*
  pH
    Median
    range

  Total suspended solids
    Ave.
    range

  Volatile suspended solids
    Ave.
    range
    6.9
6.5-7.3


7297
173-21 894


5054
 12-15430
Secondary
  •ludg*
     7.8
  7.6-8.0


  6300
1899-12225


  4388
1 224-7 896
Total aluminum
Ave.
range
Total cadmium
Ave.
range
Total chromium
Ave.
range
Total copper
Ave.
range
Total iron
Ave.
range
Total lead
Ave.
range
Total nickel
Ave.
range
Total zinc
Ave.
range
19.67
5.38-52.82
0.63
0.16-1.81
1.74
0.29-3.43
4.91
1.94-7.52
59.32
30.83-105.60
3.47
0.71-7.52
12.16
0.88-23.94
31.45
9.88-67.24
19.03
1.32-46.13
0.65
0.29-1.60
1.73
0.82-3.81
5.04
1 .64-8.26
52.47
4.75-114.00
3.38
0.64-7.74
8.94
0.55-21 .80
21.03
2.14-63.74
   All units except pH in mg/L
   As indicated  by the reduction in SOC across the primary
 clarifier, there seemed to be biological activity in that unit process.
 Overall SOC reduction across the treatment systems averaged
 71%, representing an average secondary effluent SOC value of
 11 mg/L. There was no significant correlation between VSS and
 SOC in any process liquid. This indicates that influent VSS and
 SOC varied independently in strength.
   System metals behavior. The patterns of metals transport
 across the treatment systems were extremely interesting. The
 range of RW concentrations for each metal was quite  broad,
 reflecting the combination of natural fluctuations in the influent
 RW metals levels, and the dosing of the RW with mixtures of
 metals in the laboratory. As can be seen in Table 4, there was
 a reduction in the average total metal concentration across the
 primary clarifier. The difference between the total and soluble
 metals concentration is the concentration of solids-bound metal.
 May 1984
                                                     435
                                                       11-44

-------
Patterson & Kodukula
Table 6 summarizes the average removal efficiencies of total
metal and of solids-bound metal across the primary clarifier.
For comparison, results from 6-day, flow-composited monitoring
at two full-scale POTWs are included.
  The total concentrations of metals in the ML are much higher
than in the RW, typically by 5- to 10-fold. For iron, lead, and
zinc  the concentration  factor  is closer to  15-fold. Comparing
the ML with PE total metals concentrations,  ML is 15- to 25-
fold higher for all metals, except cadmium and chromium where
ML is 6- to 8-fold higher. The metals in the  ML are predom-
inantly bound to the MLSS.  Table 4 shows that the soluble
metals in the ML represent less than 1% of the total metal,
except for cadmium, lead, and nickel which are somewhat higher.
Solids-bound metal also represents the dominant fraction in the
other process streams.
  Table 5  shows that the total metals concentrations in the
primary and secondary sludges are extremely close except for
nickel and  zinc, which  are more concentrated in the PS. The
secondary sludge total metal concentration for all metals except
aluminum  is between  1.4- and 1.8-fold higher  than the ML
total metal concentrations. The  ratio for aluminum is 2.6.
  A  cursory examination of the averaged soluble metals con-
centrations presented in Table 4 suggests that they remained
constant for each metal, across each unit process of the treatment
train  and within the bounds of experimental error. However,
there may  in fact have been  subtle changes in  soluble  metal
concentration across each unit process. Such changes were dif-
ficult to detect for cadmium, chromium, copper or lead, where
the soluble  concentrations were low and often near the detection
limit in each process stream.
  The soluble metals levels for aluminum, iron, nickel and zinc
were higher however, and statistical analysis of the influent and
effluent soluble metals levels across each of the three unit pro-
cesses (primary clarifier, aeration tank, and secondary clarifier)
indicates shifts in soluble metals  concentration across each
treatment  unit.  With two exceptions the shift was  toward a
reduction in soluble metals in the unit process effluent and with
correlation coefficients  of determination (r2) between 0.90 and
0.98. Soluble iron was reduced across the primary clarifier, but
r2 was only 0.84. The second exception was increased aluminum
across the secondary clarifier, with r2 of 0.97. Changes in soluble
concentrations of the four metals evaluated across individual
unit processes ranged between  10 and 30%.
  Solids-bound metals. Intriguing results were obtained when
the data of Table 4 were evaluated in  terms of solids-bound
metals concentrations per unit weight of process liquid solids
(/ig bound metal per mg TSS). Averaged values for these results
are presented in Table  7. Metals concentrations in raw waste-
water solids ranged from 0.89 (cadmium) to 19.81 (iron) Mg/
mg TSS. Nickel, which is difficult to remove, is in fact highly
enriched in the raw wastewater and all subsequent process stage
solids.
  Table 7 also demonstrates that the primary clarifier effluent
solids were enriched with all metals except for lead and nickel,
when compared to the clarifier influent (RW) solids.  As  dem-
onstrated in Table 7 by the calculated ratios of adjacent process
liquids around the clarifiers, the solids-bound metals in the pri-
mary effluent which were enriched over the raw wastewater had
 10% (iron) to 30% (zinc) more metal per unit weight of TSS
than the RW solids.
  Solids-bound  metals concentrations on the MLSS  were de-
pleted, compared to the primary clarifier effluent.  This depletion
could reflect solids dilution of the reactor influent metal through
sludge yield. However, the ML:PE ratios ranged from 0.20 (cad-
mium)  to 0.79  (lead), and  if sludge yield were the sole factor
involved in solids-bound metals concentration  reduction, the
ML:PE ratios among metals would have been fairly  constant.
   The solids in the secondary effluent were highly enriched in
all  metals, when compared to the mixed liquor  levels. Enrich-
ment factors (Table 7) ranged from 1.96 (lead) to 10.1 (chro-
mium). The results were not comparable to those seen across
the primary clarifier, except that in both instances iron and lead
enrichment were low. This suggests that the association of metals
with the primary clarifier process solids is governed differently
than the association with secondary clarifier solids.
   More significantly, the data of Table 7 indicate that in both
 RW and ML, the degree of association  of any metal with the
 settleable solids is different than the degree of metal association
 with non-settleable (clarifier effluent) solids. For example, taking
 the average conditions around the primary clarifier from Table
Table 6-—Average removal efficiencies across primary clarifier.

Tfsla study, % removal

P»n. - 'i,->
Alurnii i
C.»dmi'j,M
Chromicm
Copper
Iron
Lead
Nickel
Zinc
TSS
VSS

Total
concentration
27
20
29
20
31
42
46
18
—
—

Solids-bound
fraction
30
27
30
19
31
43
59
19
37
42
Pia
RW/PE
366/324
174/251
414/440
922/688
2888/1705
58/185
164/272
1615/1100
178/90
90/61
EPA study11

nt 12
% Removal
10
-
-
25
41
-
-
32
49
32

Pla
RW/PE
3554/2988
9/8
107/83
98/84
2035/2257
47/10
54/58
224/249
187/132
34/28

nt 19
% Removal
16
11
22
14
-
79
-
-
29
18
 Note—Concentration units for Plants 12 and 19 are ng/L total metal.

436
                                                          11-45
                                                                               Journal WPCF, Volume 56, Number 5

-------
                                                                                                      Process Research
Table 7—Average and compared metals concentrations
per unit weight of process stream solids.
               Mttftl concentration,
                         TSS
                     Ratios across
                      clarifiw for
                            process
                        liquids
            RW
                   PE
                          ML
                                  SE    PE:RW   SE:ML
Aluminum
Cadmium
Chromium
Copper
Iron
Lead
Nickel
Zinc
688
0.89
286
387
19.81
142
972
7.84
7.67
1.04
3.17
5.00
21.75
1.29
6.29
10.17
3.73
0.21
0.68
1.89
14.75
1.02
3.31
6.04
16.04
1.35
6.87
6.83
42.52
2.00
20.22
1952
1.11
1.17
1.11
1.29
1.10
0.91
0.65
1.30
4.30
6.43
10.10
3.61
2.88
1.96
6.11
3.23
4, the aluminum concentration per unit of total RW TSS was
6.88 pg/mg; the concentration  for the settleable TSS fraction
was calculated to be 5.45 Mg/mg; and the concentration in the
RW non-settleable TSS (PE TSS) was 7.67 /ig/mg. Except for
lead and nickel  in RW, where  the settleable solids seemed to
be more enriched than the non-settleable solids, all metals in
both RW and ML were depleted in the settleable solids, com-
pared to the non-settleable solids.

DEVELOPMENT  OF METALS
DISTRIBUTION MODELS

  Researchers have reported isothermal  metals sorption onto
MLSS, and a consequent correlation between bound metal con-
centration per unit weight of TSS and residual soluble metal
concentration." However, most such experiments have been
performed  at atypically high metals dosages, yielding several
mg/L of residual soluble metal.  Both Langmuir and Freundlich
results have been  reported. The fit of the data of this study to
either sorption  isotherm  model was extremely poor. Bench-
scale batch sorption experiments are performed under carefully
controlled conditions,  including constant pH and VSS concen-
tration, and addition of a single metal in soluble  form. These
conditions do not reflect  the situation of continuous-flow ac-
tivated  sludge units receiving  time-varying primary clarified
wastewater.
   In addition to residual soluble metal concentration, a number
of other parameters, including pH, SOC, VSS, and total metal
concentration (A/r), were evaluated with regard to their cor-
relation with the  weight of solids-bound metal (Ms) per unit
weight of VSS. As for the parameter soluble metal, no correlation
of Ms/VSS was found with either pH or SOC. An attempt to
correlate Afy/VSS with MT suggested a log-log relationship, al-
though for most metals  there was  significant  scatter in the
graphed data. A regression analysis of this relationship, taking
the form of Equation 1,  yielded r2 values of 0.75 or less for
 most metals and process streams.
                                                      (1)
 However, the correlations were better than for other variables
 tested and a further evaluation of the influence of A/r, plus VSS
-^  =alogA/r +
                                                                                                                   i.o
                                                              Figure 1A—Adsorption distribution relationships for copper-raw waste-
                                                              water. (Note: The numerical value adjacent to each data point is the
                                                              measured VSS concentration.)
                                         concentration, led to the development of metals distribution
                                         Model 1.
                                           Model I. The averaged data of each process stream of the 39
                                         runs was culled for approximately equal levels of VSS, and these
                                         run results were plotted as Afs/VSS versus Mr- Example results
                                         for copper in RW, PE, ML, and SE are presented in Figure 1.
                                         The graphs  reveal that at constant VSS, there is a  linear  cor-
                                         relation between  A/s/VSS and MT in all process streams.  The
                                         relationship takes the form  of Equation 2, where S is the slope
                                         at constant  VSS.
                                                             Ms/VSS = S(MT)                  (2)

                                         The relationships  described in Figure 1 and by Equation 2 reveal
                                         the following distribution trends. At constant VSS, the amount
                                         of solid-bound copper increases as total copper concentration
                                         increases. Also, at constant total copper concentration, the solid-
                                         bound copper per unit weight of VSS decreases with increasing
                                         VSS. Although these trends might  seem intuitively apparent,
                                         they have not previously been confirmed by experimental  data
                                         on continuous-flow activated sludge systems. An evaluation of
                                                                                                                    i.o
                                          Figure IB—Adsorption distribution relationships for copper-primary
                                          effluent. (Note: The numerical value adjacent to each data point is the
                                          measured VSS concentration.)
 May 1984
                                                                                              437
                                                        11-46

-------
Patterson & Kodukula
                                                                Table 8-
                                                                modell.
                                                      •Regression constants for th* metals distribution
Figure 1C—Adsorption distribution relationships for copper-activated
sludge mixed  liquor. (Note: The numerical value adjacent to each data
point is the measured VSS concentration.)
each of the eight metals for each process stream revealed that
the data in all instances fit Equation 2.
  Furthermore,  as seen  in Figure  1  and found  for all eight
metals,  the value of S decreases with increasing process stream
VSS concentration. Analysis of this trend revealed that 5 is an
inverse  function of VSS, of the form of Equation 3.
5 =  \/(AxVSS + B)
                                                        (3)
Substituting Equation 3 into Equation 2 yields metal distribution
Model I
                     Ms       MT
                    VSS   ^(VSS) + B
                                                        (4)
where
   A/j/VSS =
       MT =
      VSS = mg/L
         A = constant, no units, and
         B = constant, units of mg/L.
                                                        1.0
Figure 1C  -Adsorption distribution relationships for copper-secondary
effluent. (Note: The numerical value adjacent to each data point is the
measured VSS concentration.)
                                                                                                  ProcM* liquid
                                                                             Con-
                                                                             stant
                                                                   RW
                                                                                                  SE
                                            Aluminum

                                            Cadmium

                                            Chromium

                                            Copper

                                            Iron


                                            Lead

                                            Nickel

                                            Zinc
              A
              B

              A
              B

              A
              B

              A
              B

              A
              B

              A
              B

              A
              B

              A
              B
  1.23
-0.58

  1.34
-1.37

  1.05
-0.70

  1.06
  0.67

  1.17
-2.59

  1.34
  2.93

  1.52
-2.15

  1.09
  7.34
 0.96
11.23

 1.24
 2.50

 1.03
 0.01

 108
-0.71

 1.11
-0.28

 1.50
-6.13

 1.94
-1.37

 1.16
 1.42
  1.00
 11.19

  1.05
-17.02

  1.00
  0.01

  1.00
  4,88

  0.99
 24.07

  1.00
 21.19

  1.00
 92.69

  1.00
 1662
  1.09
  326

  1.08
  6.45

  1.02
  0.15

  1.02
  1.02

  102
  0.84

  1.70
 -1.18

  2.69
-13.77

  0.90
  5.06
Equation 4 is rearranged to yield Equation 4a which expresses
the ratio of MT to Ms as a function of ,4, B, and reciprocal VSS
concentration.
                                                               A/r/A/5 = A + B/VSS
                                                       (4a)
                                               Regression analysis of the results of the 39 experimental runs,
                                            using Equation 4. yielded the values of A and B listed in Table
                                            8, and revealed  excellent correlation (except for nickel in PE)
                                            of Model I with the experimental results (Table 9). Most values
                                            of A in Table 8 are  1.0 or greater, although three values are less
                                            than  1.0. Values of A below 1.0 seem to be an artifact of ex-
                                            perimental variability. From Equation 4a as VSS increases, the
                                            final term of the equation approaches zero and A must therefore
                                            have a value of 1.0 or greater.
                                               In fact, it is probable that the value of A  must be exactly 1.0.
                                            Kodukula and Patterson33 have recently reported bench-scale
                                            data for cadmium  and nickel, in terms of soluble metal as a
                                                                Table 9—Correlation coefficients (r2) for the metals dis-
                                                                tribution model I.
ProcM* liquid
Metal
Aluminum
Cadmium
Chromium
Copper
Iron
Lead
Nickel
Zinc
RW
0.959
0.970
0.999
0.996
0.989
0.877
0.803
0.953
PE
0.749
0.837
0.999
0.989
0.984
0.840
0.560
0.914
ML
0.999
0.997
0.999
0.999
0.998
0.997
0.986
0.999
SE
0.852
0.720
0.999
0.992
0.949
0.826
0.909
0.814
438
                                                          11-47
                                                                                 Journal WPCF, Volume 56, Number 5

-------
                                                                                                       Process Research
function of MT and VSS, which fit the pattern presented in
Figure 2. At  zero VSS there is obviously a 1:1  relationship
between soluble metal and A/r, up to the metal precipitation
limit. For a given A/r, soluble metal decreases with increasing
VSS. Each line of Figure 2 takes the form that  soluble metal,
the difference between Mr and Ms is
                                                Table 10—Regression constant B1 and estimated con-
                                                stant fl* for model 1 when A  = 1.0.
      MT - Ms = S(MT).                 (5)

'is 1.0 and is also an inverse function of VSS of

               C
At zero VSS,
the form,
Substitution of Equation 6 into 5 and rearrangement yields,

                                    I + ^           (7)
Comparison of Equation 7 with 4a then indicates that A = 1.0.
Equation 7 is easily transformed into a linear isotherm of the
form:

    A/s/VSS = (\IB\MT - Ms) = (1/flXsoluble metal)   (7a)

  Model I was again tested against  the experimental data to
determine the values of B where A is 1.0, and the correlation.
Values for r2 were slightly lower than for the original form of
Model I, but not significantly so.  Regression constants for B
(indicated as B1) are given in Table 10, where A is 1.0. B*
values, also presented in Table 10, are discussed below.
  Adjustment of model constants. The regression constants for
Model 1 are obtained  from a data base which incorporates a
wide range of values for process stream variables. However, it
is probable that  these  constants are  somewhat specific to the
raw wastewater and operational mode  in this study. For example,
pH has been demonstrated to have  a strong influence on the
equilibrium distribution  of metals.1733 Thus, the Model 1  con-
stants may vary with waste  nature and specific POTW config-
uration, although the general form of Model 1 is believed to be
widely applicable, and site-specific constants can be easily de-
termined.
 Figure 2—Concentration of soluble metal as a function of total metal
 and suspended solids concentrations.

 May 1984
Metal
Aluminum
Cadmium
Chromium
Copper
Iron
Lead
Nickel
Zinc
Con-
stant
B'
8*
e1
B*
e1
B'
B1
B'
B'
B'
B1
fl'
fl1
B*
fl1
fl*
Process liquid
RW
8.80
72.56
9.22
84.50
1.05
61.03
3.28
118.07
5.05
64.11
12.61
46.39
24.51
34.99
8.57
131.92
PE
7.13
9.33
1.09
1.66
3.09
17.73
30.61
5.44
ML
10.68
78.56
47.20
155.39
3.87
176.77
4.84
61.22
2.97
47.48
15.36
45.40
57.25
159.21
8.55
58.86
SE
3.03
5.45
0.33
1.16
0.62
5.09
6.99
1.88
                                                   There is one adjustment of constants which seems necessary
                                                 to accurately predict mass balances around the unit processes
                                                 of a treatment train. The data of Table 7 indicate that in both
                                                 RW and ML, each metal is distributed disproportionately be-
                                                 tween the settleable and non-settleable solids within the process
                                                 stream. Presumably, the clarifier effluent solids (and their as-
                                                 sociated constants) represent the non-settleable component en-
                                                 tering the clarifier. Then, adjusted constants can be estimated
                                                 for the settleable component as follows:
*r.ml+  r
                                                                                             AVSS
                                                                                                       (8)
                                                              where:
                                                                      = change in solids-bound metal across clarifier,
                                                   AVSS = change in VSS across clarifier, mg/L,
                                                     MT = clarifier influent total metal, Mg/L, and
                                                      B* is estimated for the settleable portion of the influent
                                                           VSS.

                                                 B* has been calculated from Equation 8 based on the average
                                                 operating conditions of Table 4, and its values are summarized
                                                 in Table 10.
                                                   The following example demonstrates the application of B*.
                                                 Determine the total primary clarifier effluent copper concen-
                                                 tration for an influent total copper concentration (Mr) of 500
                                                 Mg/L, influent VSS  of 150 mg/L, and clarifier VSS removal
                                                 efficiency of 40%  (AVSS = 60 mg/L). Equation 8 is used  to
                                                 calculate AA/5 to be 168  ng/L. The  total effluent  copper
                                                 concentration is  the  difference  between M^  and AA/S,  or
                                                 332 Mg/L.
                                                   Model II. This  model was obtained through a simplification
                                                 of Model  I, and  gives the following results.  Using Model I
                                                                                                      439
                                                          11-48

-------
Patterson & Kodukula
(Equation 4a) in process streams such as ML, with high VSS
concentration, the Model I term fi/VSS becomes negligible.
Under this condition, the term for VSS is lost from Model I,
and a new Model II relationship as presented in Equation 9 is
suggested.
MT = pMs + q (9)
It was initially believed that Model II might only achieve good
correlation for the ML data. However, as demonstrated in Table
1 1, excellent correlation was found for Model II for all process
streams and metals. Indeed, the correlation of Model II with
the experimental data of the 39 runs was equal to or somewhat
better than that with Model I.
Table 12 presents the regression constants for Model II. A
literal interpretation of Model II indicates that q must represent
the soluble metal concentration (when Ms is zero). A comparison
of q with the average soluble metals levels of Table 4 reveals
that these concentrations are indeed quite close in value to q
for each metal and process stream.
Model II is attractive in view of its simplicity, but is perhaps
overly simplistic and certainly should not be applied beyond
the range of the experimental conditions from which it was
developed. Further, Model I seems to be more powerful in
predicting mass balances around treatment systems because it
incorporates VSS, one of the principal process variables of the
activated sludge system. Nevertheless, within individual process
streams. Model II is at least as accurate as Model I in predicting
metals distributions.
Table 12 — Regression constants for
button model II.
the metals distri-
Process liquid


Metal

Aluminum

Cadmium

Chromium


Copper

Iron

Lead

Nickel

Zinc

Units of q

Con-
stant

P
q
P
q
p
q

P
q
P
Q
P
q

P
q
P
Q
are M9/L
Raw
waste-
water

0.953
107
1.045
11
1.002
4

1.016
12
0.997
173
1.036
15

1.033
276
0.928
137


Primary
effluent

0.890
122
1.089
9
1.004
3

1.018
7
0.992
107
1.024
13

1.090
2456
0.961
96


Mlxed
liquor

1.003
38
1.035
1
1.001
2

1.001
9
0.999
106
1.007
10

1.019
172
0.997
108

StCOfflQ*
•ry
effluent

0.955
100
1.022
12
1.007
3

1.001
12
0.945
108
1 137
11

1300
106
0.943
90

CONCLUSIONS

   Despite extensive laboratory and field studies over the past
25 years, little advance has been made in the ability to predict
metals distributions and removal in POTWs. Carefully controlled
bench-scale experiments indicated that a number of wastewater
and process variables can affect metals distribution between the
soluble and solids phases, but these results have not been easily
extrapolated to continuous-flow systems receiving time-varying
inputs of real wastewater.
   Based on extensive pilot plant data, empirical metals distri-
bution models have been developed which are believed to be
generally applicable. The models accurately predict the distri-
bution of process stream metals between the soluble and solids
phases. Further, there is convincing evidence that solids-bound


Table 11-  Correlation coefficients (r1) for the metals dis-
tribution model II.

                            Process liquid
  Meta!

Aluminum
Cadmium
Chromium
Copper
Iron
Lead
Nickel
Zinc
               Raw
              waste-
              water
           Primary
           affluent
           Mixed
           liquor
          Second-
            ary
           •fllutnt
0.975
0.963
0.999
0.998
0.993
0976
0964
0.981
0.961
0.944
0.999
0.998
0.985
0.981
0.909
0.992
0.999
0.994
0999
0.999
0.999
0.999
0.999
0.999
0.961
0.947
0.999
0.998
0.983
0.953
0.913
0.988
metals are disproportionately distributed between settleable and
non-settleable solids in both raw wastewater and activated sludge
mixed liquor, and Model I allows for that disproportionate dis-
tribution and accurately predicts metals removal across treatment
train unit processes.
  Credits. This work was supported by U. S. Environmental
Protection Agency Cooperative Agreement No.  R806582. The
project officer was Dr. Thomas E. Short, Robert S. Kerr En-
vironmental Research  Laboratory, Ada. Okla.  The data base
used to develop the predictive models for metals distribution
was generated under U. S. Environmental Protection Agency
Grant No. R804538. Note that although the research described
in this article has been funded wholly or  in part by the U. S.
Environmental Protection Agency (EPA), it has not been sub-
jected to  EPA review and therefore does not necessarily reflect
the views of EPA and no official endorsement should be inferred.

ACKNOWLEDGMENTS

   Authors. James W. Patterson is professor and chairman,
and Prasad S.  Kodukula is instructor and doctoral can-
didate, at the Pritzker Department of Environmental En-
gineering, (llinois Institute of Technology, Chicago. Cor-
respondence should be addressed to James W. Patterson,
Illinois Institute of Technology, Armour College of En-
gineering, IIT  Center, Chicago, IL 60616.

REFERENCES
  1. McCalla, T. M, el ai. "Properties of Agricultural and Municipal
    Wastes." In "Soils for Management of Organic Wastes and Waste-
440
                                                                             Journal WPCF, Volume 56, Number 5
                                                          11-49

-------
                                                                                                                  Process Research
    water." L. F. Elliot and E. J. Stevenson (Eds.), Am. Soc. of Agron.
    (1977).
 2.  Eason, J. E.. el al., "Industrial waste control in Los Angeles County."
    / Water Pollul. Control Fed.. 50, 4, 627 (1978).
 3.  Lue-Hing,  C., "Impact  of Toxics on Characteristics of Sludge."
    Proc. Symp. on Manage, of Toxic Mater in Munic Sludges. Natl.
    Acad. Sci. (1979).
 4.  KJein, L. A., el al.. "Sources of metals in New York City wastewater."
    J. Water Pollul. Control Fed.. 46, 12, 2653 (1974).
 5.  Davis, J. A., and Jacknow. T., "Heavy metals in wastewater in
    three urban areas." J. Water Pollul Control Fed..  47, 9, 2292 (1975).
 6.  Patterson, J. W., and Kodukula, P. S., "Heavy Metals in the Great
    Lakes." Water Qual. Bull. 3, 4, 6 (1978).
 7.  Gurnham,  C.  F., et al.. "Control of Heavy Metal Content of Mu-
    nicipal  Wastewater Sludge." Project Report to Nat. Sci.  Found.
    (1979).
 8.  Feiler, H., "Fate of Priority Pollutants in Publicly  Owned Treatment
    Works—Pilot Study." EPA 440/1-79-300, U. S.  EPA, Washington,
    D. C. (1979).
 9.  Roberts, P., et al.. "Metals in Municipal Wastewater and Their
    Elimination in Sewage Treatment." Prog. Water  Techno/.. 8,6, 301
    (1977).
10.  Minear, R.  A., et al., "Data  Base for Influent Heavy  Metals in
    Publicly Owned Treatment Works." Report to Munic.  Environ.
    Res. Lab., U. S. EPA (1981).
11.  Feiler, H., "Fate of Priority Pollutants in Publicly  Owned Treatment
    Works-Interim Report." EPA 440/1-80-301, U.  S. EPA, Wash-
    ington, D. C. (1980).
12.  Neufeld, R, D.. et al.. "A kinetic model and equilibrium relationship
    for heavy metal accumulation on activated sludge." / Water Pollut.
    Control Fed. 49, 489(1977).
13.  Oliver, B. G., and Cosgrove, E. G., "The Efficiency of Heavy Metal
    Removal by a Conventional Activated Sludge Plant." Water Res..
    8,869(1974).
14.  "Pretreatment Standard for Selected Pollutant Parameters—Draft."
    U. S. Environ. Prot. Agency Draft Report, Washington, D. C. (1977).
15.  Teramachi. T., and Takakuwa,  T., "Studies on Solid-Liquid Dis-
    tribution of Trace Heavy Metals in the Activated Sludge Process."
    J. Jpn Sew Works Assoc..  18, 22 (1981).
16.  Cheng, M. H., "Interactions of Heavy Metals in the Activated Sludge
    Process." Ph.D. dissertation, Illinois Inst.  of Technol. (1973).
17.  Cheng, M. H., et al.. "Heavy metals uptake by activated sludge."
    J. Water Pollul. Control Fed.. 47, 362 (1975).
18.  Nelson, P.  O., et al.. "Factors affecting the fate  of heavy metals in
    the  activated  sludge process." J. Water Pollut. Control Fed., 53,
    1323(1981).
19.  Neufeld, R. D., and Hermann,  E. R., "Heavy  metals removal by
    acclimated activated sludge." J. Water Pollut. Control Fed.. 47, 310
    (1975).
20.  Stones. T., "The Fate of Chromium During the  Treatment of Sew-
    age." J. Inst  Sew. Purif. Part 1, 78. 252 (1955). Also see articles,
    same author and journal, on copper (1958), iron (1956), lead, nickel
    and zinc (1959).
21.  Brown, N. G., et al., "Efficiency of Heavy Metals Removal in Mu-
    nicipal Sewage Treatment Plants." Environmental Letters. 5, 2. 103
    (1973).
22.  Patterson, J. W., "Heavy Metals Removal in Combined Treatment."
    Proc. Int. Environ Co/log.. Univ.  of Liege, Belgium (1978).
23.  Patterson, J.  W., and Hao, M., "Heavy Metals  Interactions in the
    Anaerobic Digestion System." Proc. 34th Ann Purdue Indust. Waste
    Conf. (1979).
24.  Patterson, J. W., et al, "Heavy Metals Transport through Municipal
    Sewage Treatment Plants." Proc. 2nd Nat. AIChE Conf. on Complete
    Waste Reuse (\976).
25.  Patterson,  J. W.,  "Parameters Influencing  Metals  Removal in
    POTWs." Proc. Symposium on Management of Toxic Materials in
    Municipal Sludges, Nat. Acad. Sci. (1979).
26.  Oliver,  B. G., and Cosgrove, E. G., "Metal Concentrations in the
    Sewage, Effluents, and Sludges of Some Southern Ontario Wastewater
    Treatment Plants." Environmental Letters. 9, 1, 75 (1975).
27.  Konrad, J. G., and Kleinert, S. J.,  "Removal of Metals from Waste
    Waters by Municipal Sewage Treatment Plants." In "Surveys of
    Toxic Metals in Wisconsin."  Dept. of Nat. Resources Tech. Bull.
    74,  Madison (1974).
28.  Patterson, J. W., et al., "Removal of Metals in Combined Treatment
    Systems." Report to Environ. Res.  Lab., U. S. Environ. Prot. Agency
    (1981).
29.  Haas, C. N., "Soluble Phase Chemistry of Trace  Metal  Transport
    in Secondary Waste Water Treatment Systems," M.S. thesis, Pritzker
    Dept. Environ. Eng., Illinois Inst. of Technol.,  Chicago  (1974).
30.  Stoveland, S., et al.. "The Influence of Nitrilotriacetic Acid on Heavy
    Metal Transfer in  the Activated  Sludge Process—1. at Constant
    Loading." Water Res. 13, 949 (1979).
31.  Stoveland, S.,  et al..  "Influence of Detergent  Builders  on Metal
    Solubility in Activated Sludge." Effluent Water Treat  J.  19, 10513
    (1979).
32.  Wozniak, D. J., and  Huang, J. Y. C.,  "Variables affecting metal
    removal from sludge." J. Water Pollut.  Control Fed.. 54, 12, 1574
    (1982).
33.  Kodukula, P. S., and Patterson, J. W., "Removal of Cadmium and
    Nickel  in Activated Sludge Systems." Proc.  38th Annual Purdue
    Indust. Waste Conf. (1983).
34. Jan, T., and Young,  D.  R., "Chromium speciation in  municipal
    wastewaters and seawater." J. Water Pollut.  Control Fed., 50, 10,
    2327 (1978).
35. Mulbarger, M. C., and Castelli, J. A., "A Versatile Activated Sludge
    Pilot Plant—Its Design, Construction and Operation."  Proc. 21st
    Annual Purdue Industrial Waste Conf.  (1966).
36. "Methods for Chemical Analysis of Water and Wastes."  EPA-625/
    6-74-003, U. S.  EPA, Washington, D. C. (1974).
May  1984
                                                             11-50
                                                            441

-------
  This is a reprint from  the  Journal  Water Pollution Control  Federation, the
monthly  technical journal  published by the Water Pollution  Control Federation.

  The Water  Pollution Control Federation (WPCF), a non-profit edrcationnl
membership organization,  was founded in  1928.  Pledged to provide  leadership
and guidance in the control of water pollution, the Federation acts as a source
of education and information to the public as well as to individuals in the field of
water pollution control. As such, it does not lobby or accept federal funding.

  WPCF is composed of 40 member associations in the U.S.  and is affiliated with
25 other organizations  around  the world.  More than 30 000  people belong  to th2
Federation.  Our members include engineers, biologists, chemists, acadenia, fed-
eral, state, and local government officials,  wastewater treatment  plant operators,
consultants, equipment manufacturers, contractors, industrial representatives, stu-
dents, and others interested in clean water.

   The U.S. and foreign associations  are autonomous groups represented  on  the
WPCF Board  of Control, the  policy-making body of  the  Federation.  This  bond-
ing of individually strong groups under one  banner is why the Federation lias long
been  the leading technical organization  in  the water pollution control field.


             WATER POLLUTION CONTROL  FEDERATION
                      2626 Pennsylvania  Avenue, N.W.
                           Washington, DC  20037
                               (202)  337-2500
                                 11-51

-------