United States
              Environmental Protection
              Agency
              Municipal Environmental Research  EPA 600/2 78 15!
              Laboratory           August 1978
              Cincinnati OH 45268
xvEPA
              Research and Development
Investigation
of Landfill Leachate
Pollutant Attenuation
by Soils

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                RESEARCH REPORTING SERIES

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

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

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

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                                       EPA-600/2-78-158
                                       August 1978
INVESTIGATION OF LANDFILL LEACHATE POLLUTANT
            ATTENUATION BY SOILS
                      by

              Wallace H. Fuller
 Department of Soils, Water and Engineering
          The University of Arizona
           Tucson,  Arizona  85721
           Contract No.  68-03-0208
               Project Officer

               Mike H. Roulier
 Solid and Hazardous Waste Research Division
 Municipal Environmental  Research Laboratory
           Cincinnati, Ohio  45268
 MUNICIPAL ENVIRONMENTAL RESEARCH LABORATORY
     OFFICE OF RESEARCH AND DEVELOPMENT
    U.S. ENVIRONMENTAL PROTECTION AGENCY
           CINCINNATI, OHIO  45268

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

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                                  FOREWORD
     The Environmental  Protection Agency was created because of increasing
public and government concern about the dangers of pollution to the health
and welfare of the American people.  Noxious air, foul  water, and spoiled
land are tragic testimony to the deterioration of our natural environment.
The complexity of that environment and the interplay between its components
require a concentrated and integrated attack on the problem.

     Research and development is that necessary first step in problem solu-
tion and it involves defining the problem, measuring its impact, and search-
ing for solutions.  The Municipal Environmental Research Laboratory develops
new and improved technology and systems for prevention, treatment, and manage-
ment of wastewater and solid and hazardous waste pollutant discharges from
municipal and community sources, for the preservation and treatment of public
drinking water supplies, and to minimize the adverse economic, social, health,
and aesthetic effects of pollution.  This publication is one of the products
of that research; a most vital communications link between the researcher and
the user community.

     This report presents the results of a study of attenuation by soils of
the pollutants As, Be,  Cd, CN, Cr, Cu, Hg, Ni, Pb, Se,  V and Zn from munici-
pal landfill leachate and suggests how this information may be applied to the
problem of selecting safe disposal sites.
                                      Francis T.  Mayo, Director
                                      Municipal  Environmental  Research
                                      Laboratory
                                     1 i 1

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                                   ABSTRACT

     Because of the importance of soil  and earth materials  in  retarding  or pre-
venting the movement of pollutants into groundwater,  this  project was  initiated
to study the movement and retention of  the substances As,  Be,  Cd, CN,  Cr,  Cu,
Hg, Ni, Pb, Se, V, and Zn when carried  by municipal  solid  waste leachate
through soils.  In the first phase of the project a  review of  the literature
on movement and retention (attenuation) of these substances and asbestos was
conducted and has been published as Movement of Selected Metals,  Asbestos,
and Cyanide in Soils:  Applications 'to  Waste Disposal Problems (EPA-600/2-77-
020, April 1977; NTIS PB266905/AS).

     In the second phase, reported here, a laboratory study was conducted
using 11 soils from 7 major orders throughout the U.S. and municipal  landfill
leachate  alone and spiked with such levels of metals as might be found  in the
most highly polluted leachates from combined municipal and industrial  wastes.
The attenuation of the substances listed above was found to be a function  of
their individual properties and of the  permeability  of the soil and the  amounts
of clay, lime, and hydrous iron oxides  present in the soil.  Iron was  also
studied; its movement and retention were most closely correlated with  the
amounts of clay and hydrous iron oxides in soil.  Amounts  of elements  retained
by soils against subsequent extraction  with water and 0.1  N. HC1 suggest  sub-
stantial permanent retention capacity for soils.  Total  Organic Carbon (TOC)
and Chemical Oxygen Demand (COD) in unspiked leachates were not significantly
retained by any soils.  Due to materials displaced from the soil, the  COD  in
soil column effluents was initially 30  to 50 times higher  than the COD in  the
applied leachate but rapidly decreased  to the level  of the COD in the  applied
leachate.  The TOC in soil column effluents rapidly  increased  to the level of
TOC in the applied leachate; when the soil columns were subsequently leached
with water, essentially all of the applied TOC was eluted  from the soil.

     A simulation model for predicting  solute concentration changes during
leachate flow through soils was developed and partially validated using  data
from the project.

     This report was submitted in fullfillment of Contract No. 68-03-0208  by
the University of Arizona under partial sponsorship  of the U.S. Environmental
Protection Agency.  The work was completed as of July 31,  1975.

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                                  CONTENTS

Foreward	iii
Abstract	   iy
Figures	   vi
Tables	   ix
Abbreviations and Symbols 	 xvii
Acknowledgment  	  xix

   1.  Introduction 	    1
   2.  Conclusions  	    5
   3.  Recommendations  	    6
   4.  Materials and Methods  	    8
   5.  Results and Discussion
            Experiments with Soil Columns	   28
               Preliminary leaching for background evaluation of
                  solubility of soil contaminants 	   28
               Migration of contaminants contained in waste leachates .   52
               Relating soil properties to attenuation  	   73
            A Computer Simulation Model for Predicting Trace Element
            Attenuation	   87
               The model  	   89
               Parameter estimation 	   94
               Extrapolation of results 	   96
               Alternative uses of the parameters	101
               Validation of the model  	  101
            Special Studies with Mercury and Cyanide  	  101
               Mercury reactions in soil	102
               Cyanide reactions in soil  	104

References	115

Appendices  	
   A.  Supplementary Soil  Classification Information  	  122
   B.  Additional  Data on Leaching of Indigenous Soil Constituents by
           Acid and Strongly Oxidizing Solutions  	  138
   C.  Additional  Data on the Retention and Movement of Selected
           Metals in Soils	171
   D.  Behavior of Natural Municipal Solid Waste Landfill  Leachates
           in 11  Different Soils	180
   E.  Publications from Research Contract 68-03-0208 	  217

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                                  FIGURES

Number                                                                   Page

  1    The location of the research soil  samples  on  the  textural
        diagram based on the percentage  of sand,  silt,  and  clay  	  14

  2   Diagram of the municipal  solid waste leachate generator 	  16

  3   Comparison of color of two samples of leachate:   No.  1  main-
        tained under CCL; No.  2 exposed  to air	20

  4   Change in pH with leachate (pH 6.8) slowly aerated  with com-
        pressed air	21

  5   Diagram of the soil column system  used to  study attenuation
        of leachate trace elements	25

  6   The relationship between  the soil  pH values and pore-volume
        displacements occurring before either Al  or Fe  effluent
        concentration equaled that of the influent	39

  7   Elution curves for Ni.   Ctot ">s the total  trace metal  eluted,
        and PV  is the sample size expressed in  pore volumes	41

  8   Elution curves for Zn.   Ctot 1S the total  trace metal  eluted,
        and PV  is the sample size expressed in  pore volumes	42

  9   The chemical oxygen demand of the  effluent from columns of
        four soils receiving natural municipal  landfill  leachate
        as related to the number of pore volume  displacements 	  49

 10   Percentage of As, CrVI, and Cd retained by 10 cm  of soil after
        9, 10.5, and 14 pore-space displacements, respectively	54

 11    The adsorption of mercury (HgClJ  from water  (W)  and  landfill
        leachate (L) by four  soils after application of -7.5  pore volumes
        of solution.  Applied solution pH 5.0;  soil  pH  as listed above.  .  55

 12   Relative migration of Ni, Be, and  Se through  Ava  si.c.l	57

 13   Relative migration of Ni  through 4 diverse soils	58

 14   Types of breakthrough curves generated in  this study	60
                                     VI

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Figure                                                                   Page

 15   Relative mobility of cation-forming elements in soils	62

 16   Relative mobility of anion-forming elements in soils 	   63

 17   Extraction of Cd from Wagram l.s., Davidson c., and Molokai  c.
        soils	65

 18   Extraction of Zn, Cr, and As from Davidson  c	66

 19   Extraction of Cu from Wagram l.s., Mohave s.l., and Fanno  c.  soils.  68

 20   Extraction of Pb from Mohave s.l., Nicholson si.c., and  Molokai  c.
        soils	69

 21   Effect of ground limestone liner on movement of Cd  through Wagram
        l.s	83

 22   Idealized flow regime in  porous media.   (A) Model of flow  in soils.
        (B) Simplified model, analogous to A.   The shading patterns in
        A and B correspond	90

 23   Computer rate curves and  experimental  points for the migration  of
        As, Cd, Zn, and Ni through Wagram l.s., Ava si.c.l., and
        Kalkaska s., respectively	92

 24   Computer rate curves and  experimental  points for the migration  of
        As, Cd, Ni, and V through Anthony s.l	93

 25   Plot of distance traveled vs.  time for V in Anthony s.l.,  As in
        Wagram l.s., and Zn in  Ava si.c.l.,  where C/C  is fixed  and flow
        rate (V) varies	97

 26   Plot of distance traveled vs.  time for Be in Davidson  c.,  Ni  in
        Anthony s.l. and Hg in  Nicholson si.c., where C/C is  fixed and
        flow rate (V) varies	98

 27   Plot of distance traveled vs.  time for Hg in Nicholson si.c., and
        Ni and V in Anthony s.l., where flow rate (V) is  fixed and con-
        centration (C/C ) varies	99

 28   Plot of distance traveled vs.  time for Be in Davidson  c.,  Ni  in
        Kalkaska s. and Zn in Ava si.c.l., where  flow rate (V) is  fixed
        and concentration (C/C  ) varies	-100

 29   Relationship between amount of Hg adsorbed  and the  amount  of Hg
        added to Fanno c	103

 30   Cyanide distillation apparatus 	  110
                                    vn

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Figure                                                                    Page

 31   Relative mobility of three cyanide solutions  (water and  leachate)
        through Kalkaska sand and Mohave (Ca)  clay  loam	   112

 32   Effect of soil  type on the mobility of KCN  in water and  leachate
        and K3Fe(CN)e in water	113

 Al   USDA Soil Textural Classification	135

 Cl   Migration profile of As, Be, and Cd in Davidson clay after passing
        13, 20, and 20 pore volume displacements  of leachate
        respectively 	   172

 C2   Migration profile of Cr, Cu, and Pb in Davidson clay after passing
        through 18, 27, and 225 pore volume displacements of leachate,
        respectively 	   173

 C3   Migration profile of Se and Zn in Davidson  clay after passing
        through 17 and 19 pore volume displacements of leachate,
        respectively 	   174

 C4   Migration of trace metals through different soils after  a given
        number of pore volume displacements as shown by the ratio of
        efflent metal concentration to influent metal concentration
        (C/Co)	175

 C5   Migration of trace metals through different soils after  a given
        number of pore volume displacements (PVD) as related to effluent
        metal concentration/influent metal concentration (C/C0)	   176

 C6   The movement of As, Be, Cd, and Cr in landfill leachate  through
        various soils as related to pore space displacements to achieve
        C/C0 = 0.80, 0.25, 0.25, and 0.35 respectively	177

 C7   The movement of Cu, Pb, Se, and Zn in landfill leachate  through
        various soils as related to pore space displacements to achieve
        C/Co = 0.08, 0.32, 0.02, and 0.09 respectively	178

 Dl   The attenuation of Fe by Anthony sandy loam demonstrating its
        retention against leaching with water	   186
                                     vm

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                                   TABLES

Number                                                                    Page

  1   Characteristics of the Soils Used in Arizona Soil  Column Research.  .   9

  2   Some Chemical Characteristics of Water-Saturated Paste Extract of
        the Soils Used in the Arizona Study	10

  3   The pH, Cation Exchange Capacity, Exchangeable Cations, and
      Electrical Conductivity of the Saturated Paste of Soils Used in
      the Column Research	11

  4   Total Analysis of Soils for Trace Metals and Free Iron Oxides. ...  12

  5   Textural  Class and Clay (>2y) Mineral Composition	13

  6   Partitioning of Material in the Municipal  Waste-type Landfill  Used
        to Generate Leachate 	  17

  7   Ranges of Constituents Detected in the Natural Leachate Generated
        from Municipal Solid Waste and Used in the Soil  Column Research
        (pH 6.6-6.8)	18

  8   Effect of Various Collection Treatments on Iron Solubility in
        Natural Landfill Leachate	23

  9   Concentration Ranges of Some Common Cations and Anions in the Soil-
        Solution Displacements from Columns Receiving Deionized Water.  .  .  31

 10   Concentration Ranges of Some Trace Elements in the Soil-Solution
        Displacements from Columns Receiving Deionized Water 	  32

 11   Concentration ranges of Some Common Cations and Anions in the
        Soil-Solution Displacements from Columns Receiving Water Acidi-
        fied with H2S04 to pH 3.0	34

 12   Concentration Ranges of Some Trace Elements in the Soil-Solution
        Displacements from Columns Receiving Dilute HpSO. at pH 3.0. ...  35

 13   Concentration Ranges of Some Cations and Anions in the Soil-
        Solution Displacements from Columns Receiving 0.025 M^AICU  and
        FeCl2 Solution at a pH of 3.0	 ...  37

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Table                                                                     Page

14   Concentration Ranges of Some Trace Elements in the Soil-Solution
       Displacements from Columns Receiving 0.025 IM A1C1» and FeCl2
       Solution at a pH of 3.0	:	38

15   Percentage of Total Analysis and Peak Concentration of Trace Metal
       Eluted from Soil Columns Receiving 0.025 M A1CU and Fed? Solution
       at pH 3.0	:	  43

16   Correlation Coefficients of Mass per Gram Eluted with Soil Proper-
       ties.  Data from Soil Columns Receiving 0.025 M_ A1CU and 0.025
       M FeCl2 Solution at pH 3.0	44

17   Correlation Coefficients of Time to Maximum Concentration with
       Soil Properties from the 0.025 ^ A1CU and 0.025 M Solution at
       pH 3.0	46

18   Concentration Ranges of Some Common Cations and Anions in the Soil-
       Solution Displacements from Columns Receiving Natural Municipal
       Landfill Leachate	48

19   Concentration Ranges of Some Trace Elements in the Soil-Solution
       Displacements from Columns Receiving Natural Municipal Landfill
       Leachate	50

20   The Pore Volume in which the Element First Appeared in the Soil-
       Column Effluent	56

21   Designation Showing Type of Curve Generated from Each Column ....  61

22   The Amount of Sorbed Trace Element Extracted from Different Soils
       by Water	70

23   The Amount of Trace Element Extracted from Different Soils by
       0.1 H HC1	  71

24   Mass of Element Removed by Soil	  72

25   Correlation Coefficients of Mass Adsorbed per Gram of Soil with
       Soil Properties	, . .  .  .  75
                                  p
26   Coefficients of Regression (R ) for each Element on Data from
       all Soils	77

27   Correlation Coefficients of Cmax/C0 (max. cone, eluted/influent
       cone.) with Soil Properties	78

28   Correlation of Soil Properties to the Percentage of Trace Metal
       Extracted by Water	80

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Table                                                                      Page.

  29   Correlation of Soil Properties to the Percentage of Trace Element
        Extracted by 0.1 H HC1	   81

  30   The Effect of Lime on Attenuation of Cd in Wagram Sand	   84

  31   The Effect of Limestone  Barrier on Attenuation of Ni in Wagram
        Sand	   85

  32   The Effect of Limestone  Barrier and Hydrous Oxides of Fe on
        Attenuation of Cr in Wagram Loamy Sand and Anthony Sandy Loam .  .   86

  33   Effect of Flux on Relative Concentration (C/C0) of Cadmium in
        Effluents from Three Soils  	   88

  34   Parameters Estimated	   95

  35   Amount of Hg Adsorbed by Soils from Different Solutions 	  105

  36   Characteristics of Cyanide Solution 	  109

  Al   Field Description of Soils Used in the Arizona Solid Waste Leachate
        Pollution Attenuation  Study 	  124

  A2   Major Divisions, Soil Type Symbols, and Type Descriptions for the
        Unified Soil Classification System (USCS) 	  128

  A3   Descriptions of Soils in the Highest (Most General) Categories of
        the Present USDA Classification System	129

  A4   Orders in the Present USDA Soil Classification System and
        Approximate Equivalents in the 1938 USDA System	133

  A5   U.S. Department of Agriculture (USDA) and Unified Soil
        Classification System  (USCS) Particle Sizes 	  134

  A6   Corresponding USCS and USDA Soil Classifications	136

  A7   Corresponding USDA and USCS Soil Classifications	137

  Bl   The Redox (Eh) Potential of Some Soils Saturated with H2S04 Solution
        at pH 3.0, and Fed2 and Al Cls at 0.025 M. Concentration Adjusted
        to pH 3.0 with HC1	139

  B2   The Number of Pore-Space Displacements Ocurring Before Either Al or
        Fe Effluent Concentration Equaled that of the Influent	140

  B3   Some Anion and Cation Characteristics of Leachate from Anthony Soil
        Column Irrigated with  Sulfuric Acid Solution at a pH Value of 3.0  141
                                       XI

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Table                                                                    Page

 B4   Some Anion and Cation Characteristics of Leachate from Chalmers
        Soil Column Irrigated with Sulfuric Acid Solution at a pH of
        3.0 ............................ ...  142

 B5   Some Anion and Cation Characteristics, of Leachate from Davidson
        Soil Column Irrigated with h^SC^ at pH 3.0  ..........  143
 B6   Some Anion and Cation Characteristics of Leachate from Fanno Soil
        Column Irrigated with Sulfuric Acid Solution at a pH Value of
        3.0 ..............................  144

 B7   Some Anion and Cation Characteristics of Leachate from Kalkaska
        Soil Column Irrigated with Sulfuric Acid Solution at a pH
        Value of 3.0 ..........................  145

 B8   Some Anion and Cation Characteristics of Leachate from Mojave
        Soil Column Irrigated with Sulfuric Acid Solution at a pH
        Value of 3.0 ..........................  146

 B9   Some Anion and Cation Characteristics of Leachate from Molokai
        Soil Column Irrigated with Sulfuric Acid Solution at a pH Value
        of 3.0 .............................  147

 BIO  Some Anion and Cation Characteristics of Leachate from Nicholson
        Soil Column Irrigated with Sulfuric Acid Solution at a pH Value
        of 3.0 .............................  148

 BIT  Some Anion and Cation Characteristics of Leachate from Wagram
        Soil Column Irrigated with Sulfuric Acid Solution at a pH
        Value of 3.0 ..........................  149

 B12  Some Trace Metal Characteristics of Leachate from Anthony Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH of 3.0. .  150

 B13  Some Trace Metal Characteristics of Leachate from Chalmers Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH Value
        of 3.0 .............................  151

 B14  Some Trace Metal Characteristics of Leachate from Davidson Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH of 3.0. .  152

 B15  Some Trace Metal Characteristics of Leachate from Fanno Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH of 3.0. .  153

 B16  Some Trace Metal Characteristics of Leachate from Kalkaska Soil
        Columns Irrigated with Sulfuric Acid at a pH of 3.0 ......  154

 B17  Some Trace Metal Characteristics of Leachate from Mojave Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH of 3.0. .  155
                                     xii

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Table                                                                    Page

 B18  Some Trace Metal  Characteristics of Leachate from Molokai  Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH Value
        of 3,0	    156

 B19  Some Trace Metal   Characteristics of Leachate from Nicholson
        Soil Columns Irrigated with Sulfuric Acid Solution at a  pH
        Value of 3.0	    157

 B20  Some Trace Metal  Characteristics of Leachate from Wagram Soil
        Columns Irrigated with Sulfuric Acid Solution at a pH Value
        of 3.0	    158

 B21  Some Chemical  Characteristics of Soil  Column Sections After
        Leaching with Sulfuric Acid Solution at pH 3.0 for 15 Pore-
        Space Displacement 	    159

 B22  Some Trace Metal  Characteristics of Leachates from Ava Soil
        Columns Irrigated with 0.025M Al Cls and Fed2 Solutions at
        a pH Value of 3.0	    160

 B23  Some Trace Metal  Characteristics of Leachates from Anthony Soil
        Columns Irrigated with 0.025M Al Cl3 and Fed2 Solutions at a
        pH Value of 3.0	    161

 B24  Some Trace Metal  Characteristics of Leachates from Anthony Soil
        Columns Irrigated with 0.025M Al Cl3 and Fed? Solutions at a
        pH Value of 3.0	    162

 B25  Some Trace Metal  Characteristics of Leachates from Davidson Soil
        Columns Irrigated with 0.025M Al 013 and FeCl2 Solutions at a
        pH Value of 3.0	    163

 B26  Some Trace Metal  Characteristics of Leachates from Ava Soil
        Columns Irrigated with 0.025M Al Cls and Fed2 Solutions at a
        pH Value of 3.0	    164

 B27  Some Trace Metal  Characteristics of Leachates from Kalkaska
        Soil Columns Irrigated with 0.025M Al  Cla and Fed2 Solutions
        at a pH Value of 3.0	    165

 B28  Some Trace Metal  Characteristics of Leachates from Mojave  Soil
        Columns Irrigated with 0.025M A1CU and Fed? Solutions  at a
        pH of 3.0	    166

 B29  Some Trace Metal  Characteristics of Leachates from Molokai Soil
        Columns Irrigated with 0.025M AlCU and Fed? Solutions  at a
        pH Value of 3.0	    167
                                     xiii

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Table                                                                  Page

B30     Some Trace Metal  Characteristics of Leachates from
        Nicholson Soil  Columns Irrigated with 0.25M A1C13
        and Fed2 Solutions at a pH value of 3.0	 169

B31     Some Trace Metal  Characteristics of Leachate from
        Wagram Soil Columns Irrigated with 0.025M A1C13 and
        FeCl2 Solutions at a pH Value of 3.0	 170

Cl      Attenuation of Fe and Al in Nicholson Silty Clay at
        Two Solution Flow Rates 	 179

Dl      Some Chemical Characteristics of Leachates Taken From
        a Municipal Solid Waste Landfill, Tucson, Arizona:
        Landfill  I 	 187

D2      Some Chemical Characteristics of Leachates Taken From
        a Municipal Solid Waste Landfill at Tucson, Arizona:
        Landfill  II  	 189

D3      Some Chemical Characteristics of Leachates From a
        Municipal Solid Waste Landfill, Tucson, Arizona:
        Ruthauff Road (Landfill III) 	 190

D4      Selected Characteristics of the Soil in the Column Study
        With Municipal  Landfill Leachate II  	 191

D5      The Retention of Fe and TOC of Natural Municipal Leachate II
        by 11 Different Soils and Their Retention Against Leaching
        With Deionized Water  	 192

D6      Attenuation of Iron in Natural Municipal Landfill Leachate
        Passed Through 11 Soils as Related to Unit Weight and
        Surface Area 	 193

D7      Single Variable Regression Analysis of Iron Attenuation as
        a Function of Soil Parameters When Natural Municipal Solid
        Waste Landfill  Leachate was Passed Through 11 Soils and
        Summary of Significant Cross Product Terms Resulting from
        Regression Analysis of the Interaction of the Variables 	 194

D8      Selected Analyses of  Effluent from Wagram Loamy Sand
        Leached with Natural  Leachate I at 30° C	 195

D9      Selected Analyses of  Effluent from Ava Silty Clay Loam
        Leached with Natural  Leachate I at 30° C	 196
                                    xiv

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Table

  D10      Selected Analyses of Effluent from Kalkaska Sand
           Leached with Natural Leachate at 30° C	    197

  Dll      Selected Analyses of Effluent from Davidson Clay
           Leached with Natural Leachate at 300 C	    198

  D12      Selected Analyses of Effluent from Molakai Clay
           Leachate at 30° C	    199

  D13      Selected Analyses of Effluent from Chalmers Silty
           Clay Loam Leached  with Natural Leachate at 30° C	    200

  D14      Selected Analyses of Effluent from Nicholson Silty
           Clay Leached with Natural Leachate at 30° C	    201

  D15      Selected Analyses of Effluent from Fanno Clay Leached
           with Natural Leachate at 30° C	    202

  D16      Selected Analyses of Effluent from Mohave Sandy Loam
           Leached with Natural Leachate at 300 C	    203

  D17      Selected Analyses of Effluent from Mohave (ca) Clay
           Loam Leached with Natural Leachate at 30° C 	    204

  D18      Selected Analyses of Effluent from Anthony Sandy
           Loam Leached with Natural Leachate at 30° C 	    205

  D19      Selected Analyses of Effluent from Wagram Loamy
           Sand Leached with Natural Leachate at 15° C 	    206

  D20      Selected Analyses of Effluent from Ava Silty Clay
           Loam Leached with Natural Leachate at 15° C 	    207

  D21      Selected Analyses of Effluent from Kalkaska Sand
           Leached with Natural Leachate at 15° C 	    208

  022      Selected Analyses of  Effluent from Davidson Clay
           Leached with Natural Leachate at 15° C 	    209

  D23      Selected Analyses of Effluent from Molakai Clay
           Leached with Natural Leachate at 15° C 	    210

  D24      Selected Analyses of Effluent from Chambers Silty
           Clay Loam Soil  Leached with Natural Leachate at 15° C ...  211

  D25      Selected Analyses of Effluent from Nicholson Silty
           Clay Leached with Natural Leachate at 15° C 	  212
                                    xv

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Table                                                                 Page
  D26       Selected Analyses of Effluent from Fanno Clay Leached
            with Natural Leachate at 150 C 	  213
  D27       Selected Analyses of Effluent from Mohave Sandy Loam
            Leached with Natural Leachate at 15° C 	  214
  D28       Selected Analyses of Effluent from Mohave (ca) Clay  .
            Loam Leached with Natural Leachate at 15° C 	  215
  D29       Selected Analyses of Effluent from Anthony Sandy Loam
            Leached with Natural Leachate at 150 C 	  216
                                    xv 1

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  LIST OF ABBREVIATIONS AND SYMBOLS
ABBREVIATIONS

A horizon

BD
BOD
 max
C/CQ

CEC
COD
C02 tension

Ctot
da
EC

EDTA
Eh
g/cc
hr
ION
Ib
1 (or 9.)
Met ri c
m
m2
Km
cm
mm
ml
1
g
yg
mg
Kg
y
meq
meq/lOOg
yg/i
mhos
mmhos
ymhos
-- soil surface or uppermost layer of soil accumulating
   organic matter
— bulk density
— biological oxygen demand
-- maximum concentration of a specific element
— concentration of input solution (influent)/concentration
   of output solution (effluent)
-- cation-exchange-capacity in soil
— chemical oxygen demand
— carbon dioxide partial pressure

-- total trace metal eluted
— day
-- electrical conductivity of a solution expressed as
   mhos,  mmhos or ymhos/cm
— ethylene diamine tetraacetic acid
-- reduction/oxidation factor
-- gram per cubic centimeter
-- hour
— concentration of soluble ions
— pound, 454 grams
-- liter

-- one meter = = 39.4 inches
— square meter
-- kilometer = = 0.621 mile
-- centimeter = = 0.394 inches
— millimeter
~ milliliter
-- liter = = 0.946 quart
— gram         _6
— microgram (10~  gram)
-- milligram
— kilogram
-- micron, micro-
— milliequivalent
-- mi Hi equivalents per 100 grams
— micrograms per liter
-- reciprical of ohms or mhos
— millimhos
-- micromhos
                 xvii

-------
umhos/cm
pH value

ppm
ps
pv
PVD
Red/ox or redox
Texture of Soils
c.
c.l.
s.
s.l.
1.
si.
si.l.
si.c.l.

IDS
TOC
US DA
V

SYMBOLS
As
Be
Cd
Co
Cr
Cu
Fe
P
Pb
Mg
Mn
Ni
Hg
Se
V
Zn
arsenic
beryllium
cadmium
cobalt
chromium
copper
iron
phosphorus
lead
magnesium
manganese
nickel
mercury
selenium
vanadium
zinc
micromhos per centimeter
hydrogen ion activity (0-12)(acid—less than 7.0:
alkaline—greater than 7.0)
parts per million
pore space
pore volume
pore volume displacement
reduction/oxidation ratio

clay, < 2y size particles
clay loam
sand
sandy loam
loam
silt
silt loam
silty clay loam
total dissolved solids
total organic carbon
United States Department of Agriculture
volume
                      carbon
                      chloride
                      carbon dioxide
                                       C
                                       Cl
                                       co2
                                       co3
                                       HCO,
                                       so,
                                       Fed,
                                       AlCl!
                                       Fe++(FeII)
                      carbonate
                      bicarbonate
                      phosphate
                      sulfate
                        iron oxide (ferric)
                        ferrous chloride
                        aluminum chloride
                             Ferrous
                               Ferric
                                   xvi ii

-------
                              ACKNOWLEDGMENTS
     The authors thank Dr.  F.  Wiersma, Department of Soils,  Water and
Engineering, The University of Arizona, for his  technical  assistance in  the
design and construction of the simulated sanitary landfill.

     We wish to thank the following persons for  providing  soils from through-
out the U.S. to make this project possible:  Drs. S.W.  Buol, North Carolina
State University; L.R. Fullmer, University of Illinois; R.E. Green, University
of Hawaii, D.M. Hendricks,  University of Arizona; M.H.  Roulier, U.S. EPA,  and
E.P. Whiteside, Michigan State University; A.L.  Zachary,  Purdue University.

     Contributing investigators include N.E.  Korte,  E.E.  Niebla, and Joseph
Skopp, as Research Assistant III, Research Assistant II,  and Graduate Associ-
ate in Research, respectively, all in the Department of Soils,  Water and
Engineering, The University of Arizona, Tucson.   W.H.  Fuller, the principal
investigator, is Professor and Biochemist, Department of  Soils, Water and
Engineering, The University of Arizona, Tucson,
                                     xix

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                                 SECTION 1

                                INTRODUCTION
     The soil will always play an important role in waste disposal  despite
present trends toward more and more recycling of waste constituents.  The
realization that the air, rivers, and streams are overloaded vehicles for
waste transport and the recent restrictions on disposal  methods used hereto-
fore, such as ocean dumping (U.S. Congress, 1972), serve only to accentuate
the burden that land disposal  must assume.  The potential for pollution of
surface and ground waters is a growing threat (US EPA, 1973), despite the
recently accepted methods of sanitary landfill management.   Individuals from
industry and local, state, and federal governments are asking about the best
methods of waste disposal to the land, still the primary means of mass dis-
posal.  The situation requires immediate development of knowledge of the
soil as a waste-treatment system, so that safe and rational choices of dis-
posal options can be made.

     The soil is a complex and dynamic system in which physical, chemical,
and biological reactions continually interact.  The rate of interaction and
the dominance of one reaction over another are controlled by specific soil
constituents.  Constituents and constituent levels vary spacially with
changing factors such as management, climate, vegetation, parent material,
time, and topography.  More specific factors such as temperature, moisture,
structure, texture, aeration, kind and content of soil minerals, and pH
interact to produce a specific quality of natural leachate for any given
soil site.  Differences in rainfall and depth to the water table further
complicate leachate quality and quantity.

     The problem of predicting major soil attenuation mechanisms and movement
of inorganic waste constituents is solvable, despite the host of variables.
Basically, the soil may be envisioned as a chromatographic or absorption and
biodegradation tower, with numerous finite variables that influence attenu-
ation.  For instance, organic substances ultimately mineralize, yielding
inorganic substances, harmless gases, and water.  Where climate permits,
organic matter accumulates as resynthesized substances of microbial origin
and as degraded organic residue.  Waste residues yield virtually the same
kinds of organic constituents in a given soil, varying primarily in the rela-
tive quantity of each constituent.

OBJECTIVES

     The general objectives of the research described in this report were:

-------
      1.   To provide a critical  review of the existing literature concerned
          with biological, chemical,  and physical  reactions of certain hazard-
          ous materials in soil  systems, with emphasis on  the  migration poten-
          tial of these materials  through soils.

      2.   To study the pollution potential  of leachate from municipal  solid
          waste in relation to the attenuation mechanisms  in soils of  differ-
          ing characteristics and  to  develop simulation models for the pre-
          diction of solute changes as leachate flows  through  soils.

      3.   To investigate the migration through soils  and attenuation by soils
          of hazardous substances  contained in certain industrial! waste that
          may be disposed of in  municipal landfills,  and

      4.   To recommend future research aimed at providing  a base for develop-
          ment of pollution-control procedures and guidelines  regarding land
          disposal of municipal  and hazardous wastes.

      The elements in wastes that  were considered  include:   arsenic (As),
beryllium (Be), cadmium (Cd), chromium (Cr), copper (Cu), lead  (Pb), mercury
(Hg), nickel (Ni), selenium (Se),  vanadium (V), and zinc (Zn).   Materials
given some attention but not studied  in detail include asbestos and cyanide
(CN).

LITERATURE SEARCH AND ANALYSIS

      The major thrust of the literature search was to identify and evaluate
dominant  leachate attenuation mechanisms of soils  as  treated in current pub-
lications.  The searchers enumerated  and evaluated (insofar as possible)
interactions between constituents  contained in leachates from  landfills and
industrial waste streams and those contained in soils.  A  literature review
and some  of the research findings  from the Arizona laboratory  were developed
and published separately (Fuller,  1977).

RESEARCH  PROGRAM

      The great number of attenuation mechanisms that  are  operative'when
trace contaminants are put on or into the soil can be  qualitatively identi-
fied with reasonable assurance,  but quantitative data  relating to specific
mechanisms are not available.  The lack of such data,  however, does not make
it impossible to develop a workable program for controlling the spread of
potentially hazardous pollutants from land disposal sites.   In the research
program described here, e.g., attenuation predictions  are  made on a relative
basis by  comparing one element with another and by comparing various soils.
Predictions based on laboratory data  provide maximum attenuation information
for any given element because although natural field conditions cannot be
predicted, disposal site preparation  includes mixing the soil  to develop
homogeneous conditions very like those of soil column  experimentation.

      The research and discussion  are presented as follows:

      The first unit describes the preliminary leaching of soils from  7 major

-------
orders to establish solubilities for indigenous soil  contaminants under
various conditions.  Four solutions were used to simulate (a) rainfall  (de-
ionized H20), (b) weak acid leachates (dilute H2SOi»), (c) strong industrial
leachates (AlClj-FeClt solution), and (d) natural municipal  leachates (simu-
lated municipal  leachate).  Studies on the migration  or attenuation of indi-
vidual trace elements spiked singly into natural municipal  waste leachate are
reported.  Breakthrough curves for elements are given other than Cu and Pb
and desorption by H20 and dilute HC1 extraction of soil  column sections are
included.  The properties of the soil most closely correlated with attenua-
tion are described.

     The second unit describes the development of a computer simulation model
for predicting long-term behavior in soils of hazardous trace elements from
natural municipal landfill leachate.  This includes description of the model,
problems of parameter estimation, extrapolation of the results, alternative
uses of the parameter, and validation of the model.


     The third unit describes special studies of mercury and cyanide reactions
in soils.

     There is no doubt that additional research and experimentation will
refine and perhaps alter some of the concepts in this report.  However, the
information is the best available for the urgently needed formulation of
safe disposal guidelines.

TERMS

     Certain terms used in this report are defined as follows:

Trace elements.   These elements, especially metals, are used by organisms in
minute quantities believed to be essential to their physiology.  (In a more
general sense, elements with no known physiological relation can be included.
Recently the term has been used to refer to elements  that,  although present
in minute quantities, are toxic to living systems)

Trace contaminants.  Trace contaminants include those elements listed (As,
Be, Cd, Cr, Cu,  Hg, Ni, Pb, Se, V, and In), asbestos  and cyanide.  They may
or may not be essential for plant growth, but, if present in the soil solu-
tion in high enough concentrations, are absorbed by,  and toxic to, plants.

Heavy metals.  Trace elements include As, Be, Cd, Cr, Cu, Fe, Hg, Ni, Pb, Se,
V, and Zn, whereas heavy metals, also heavy elements  or transition elements,
include As, Cd,  Cr, Hg, Ni, Pb, Se, V, and Zn, even though As and Se are not
in the transition series.  Asbestos and cyanide are considered potentially
hazardous pollutants along with the elements just listed but are referred to
as substances, materials, or constituents, as well as by their given names.

Absorption.  Absorption is biological uptake of elements and constituents.

Adsorption.  Adsorption relates to a physico-chemical process of holding or
immobilizing substances against extraction by salt solution.

-------
Adsorption complex.  This complex comprises the group of substances in soil
capable of adsorbing other materials.   Organic and inorganic colloidal sub-
stances form the greater part of the adsorption complex because noncolloidal
materials such as silt and sand exhibit adsorption to a much lesser extent.

Sprption.  Sorption relates to ions or molecules loosely or strongly fixed by
the soil constituents.  Many mechanisms are involved.

Attenuation.  Attenuation evaluation involves looking at the movement of a
pulse of solute through a soil.  As the pulse migrates, the maximum possible
concentration decreases.  Attenuation  is the decrease of the maximum concen-
tration for some fixed time or distance traveled.

Fixation.  Fixation describes that portion of trace contaminant retained
against salt extraction.  (Some investigators, particularly those in the
plant sciences, use another criterion, i.e., as retained against acid
extraction.)

Flux.  Flux is used here to represent  the rate of flow of a solute through
a porous medium; or more technically,  the volume of flow per unit time per
unit area perpendicular to direction of flow (also Darcian velocity or flux
density).

Hydrous oxides.  In this text refers to the hydrous oxides of iron, aluminum,
and manganese in soils.  They are oxides which vary in degree of hydration
depending on the environment primarily of Eh, pH, and H20 and include numer-
ous species.  For example, the hydrous iron oxides constitute the bulk of the
free iron in soils devoid of organic matter.

-------
1.
                                 SECTION 2

                                CONCLUSIONS
Migration of trace elements through soils depends upon the properties of:
(a) the soil, (b) the leaching solution, and (c) the trace element.
2.  The soil properties most useful in predicting mobility of trace elements
    in soils are:  (a) texture (clay content), (b) content of hydrous oxides
    (Fe, at least), (c) content of lime (pH effect), (d) surface area per
    unit weight of soil.

3.  The mobility of 11 elements studied in this project can be classified as
    follows:  (a) those most generally mobile--Cr, Hg, Ni, (b) those least
    generally mobile--Pb, Cu, and (c) mobility varies with the conditions--
    As, Be, Cd, Se, V, and Zn.

4.  The leaching solution properties that most affected trace element mobil-
    ity were:  (a) pH value, (b) concentration of the specific metal element,
    (c) TOC (Total Organic Carbon), (d) ION (salt), (e) C02 tension.


5.  A computer simulation model was developed which can be used in efforts to
    predict migration of selected metal elements (As, Be, Cd, Pb, Hg, Ni, V,
    and Zn) through soils using soil parameters, clay and silt content, sur-
    face area per unit weight,  free iron content, and solution leachate flow
    data.

6.  Although not formally studied in the project, the rate of flow (flux) of
    a solution through soil appears to be a factor influencing metal
    migration.

7.  Retention by soils of the Fe in municipal  solid waste leachate is closely
    correlated with the amounts of clay and hydrous iron oxides in soil.

8.  Chemical Oxygen Demand (COD) of municipal  solid waste leachate is not
    significantly retained by soils.  Large amounts of COD are displaced
    from soils during initial contact between leachate and soil - 30 to 50
    times  more than is present in the leachate.

9.  Small  amounts of Total Organic Carbon (TOC) in municipal  solid waste
    leachate are retained by soils but the retained TOC is almost totally
    removed from the soil by subsequent leaching with water.

-------
                                  SECTION  3

                               RECOMMENDATIONS

DISPOSAL SITE SELECTION

1.   Because of the role of the soil  in  attenuation  of  trace  metals,  soils  at
    prospective disposal  sites should be characterized with  respect  not only
    to the traditional  characteristics  of  permeability and cation  exchange
    capacity, but also  to the characteristics,  listed  below,  that  strongly
    affect attenuation.

2.   Because the content of (a) clay  and silt,  (b) hydrous oxides of  iron,  and
    (c) lime (pH effect)  were found  to  exert a  dominant  influence  on reten-
    tion of trace elements,  sites  should,  if a  choice  exists,  be established
    in soils with a high content of  these  materials.

3.   Research suggests that soluble iron compounds could  also be applied as
    linings to landfills  and allowed to convert to  the hydrous oxide form  to
    enhance attenuation.   However, this is not  recommended at  present because
    incomplete conversion to the hydrous oxide  form could allow iron contami-
    nation of underlying waters.

4.   Increasing the pH of a waste or  leachate from a waste, is  recommended
    because it improves the chance that most heavy  metals will form  more
    insoluble compounds,  thus limiting  migration.

5.   Preliminary research indicates that the  rate of flow of  a  solution
    through soils influences the migration rate of  the metal  elements.   Thus
    any means of slowing the rate  of flow  to increase  attenuation, such as
    choosing sites with finer textured  soils,  compacting soils, lining, etc.,
    is recommended.

6.   To increase attenuation by reducing flow rate and  exposing fresh particle
    surfaces, distrubance and compaction of  the soil  in  preparing  the land
    for waste disposal  is recommended.

7.   Because anion forming elements (As, Cr6*,  Se, and  V) were  mobile even  in
    soils with substantial attenuation  capacity, great care  is recommended
    in selection of land disposal  sites for  wastes  containing  these  elements.

-------
FUTURE RESEARCH

1.   The study of attenuation and migration of selected potentially hazardous
    trace elements, through columns of homogeneous soils has provided basic
    data for developing a simulation model for predicting solute changes in
    leachate flow through soils.  The model  must be tested with:  (a) multi-
    ple element combinations, (b) element concentration variation, (c) other
    wastes having any materials that would influence pollutant migration,  and
    (d) field data from a wide variety of soils and climatic conditions.

2.   The data presented in this report were obtained under saturated flow or
    water-logged conditions; data for modeling the attenuation of migration
    of trace elements under unsaturated flow conditions in soils should be
    developed.

3.   As a limited number of soils were employed in this study, the same type
    of research should be conducted for other soils to check the results of
    this project and to collect data on the effects of other soil  parameters
    on migration rates.

4.   Attenuation of potentially hazardous trace elements in representative
    industrial wastes and wastewaters should be investigated.   This work
    should include study of multiple trace- and heavy-element interactions
    when several wastes are disposed of together.

5.   The organic fraction of leachate, as measured by total  organic carbon
    (TOC), was only slightly retarded by soils.   Further study of organic
    contaminant movement in soils is warranted.

6.   Because Cu and Pb were only slightly mobile,  even in soils with a low
    attenuation capcity, future research on these should be less than on
    contaminants that are more mobile and more likely to cause problems at
    disposal sites.

-------
                                 SECTION 4

                           MATERIALS AND METHODS
MATERIALS

Soils

    Properties of soils used in this research and described include:   (a)
field descriptions, Table Al*, (b)  physical  properties,  Table 1, (c)  chemical
characteristics, Table 2, (d)  saturated-paste-extract composition,  Table 3,
(e) total trace element content, Table 4,  and (f) textural  classes  and clay
minerals, Table 5 and Figure 1.

    Eleven soils representative of  7 major orders were collected throughout
the United States at depths to avoid organic matter in surface layers which
would not be typical of soils  below landfills.  They range  in pH from 4.2 for
the Ultisol, Wagram loamy sand, to  pH 7.8  for the alkaline  Aridisols, Anthony
sandy loam and Mohave (Ca) clay loam.   The clay ranges from 3 to 61%  and cat-
ion exchange capacity (CEC) from 2  to 37 meq/lOOg.   Two  Mohave soils  were
included (because the presence of lime varies with depth),  providing  an
opportunity to compare two genetically similar soils, one with and  the other
without lime.   Total Mn, Co, Zn, Ni, Cu, and Cr, and free Fe oxides composi-
tion data for the soils are given in Table 4, for comparative purposes.  The
clay mineral composition of the >2y separate of the 11 soils varied widely
from largely montmorillonite-type in Anthony s.l. and Chalmers si.c.l. to
largely kaolinite-type in Davidson  and Molokai clays and Wagram l.s.

    Although these soils appear relatively near the surface compared  to soil
material below present-day fills, this soil  selection was made because (a)
the emphasis in research was on soil characteristics, (b) air and water pol-
lution ends up on land and these as well as other subtle disposals  involve
soil contact,  and (c) soil material for covering, enveloping, cell  encase-
ment, etc., usually is required for acceptable disposal. Thus, if  others
characterize a soil-like material from 150 feet depth, for  example, they can
take note of the characteristics of the most similar soil material  used in
this study and estimate the attenuation characteristics  of  their material.

Solid-Haste Leachates

Natural Leachate--
    The leachate for the research on attenuation of municipal landfill and
industrial wastestream constituents was generated in a 3,800 liter  home-owner

*See~ Appendix for field descriptions of soils.


                                      8

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 TABLE 4.   TOTAL ANALYSIS OF SOILS  FOR TRACE  METALS  AND FREE  IRON OXIDES

Soil
series
Wagram l.s.
Ava si. c.l.
Kalkaska s.
Davidson c.
Molokai c.
Chalmers si. c.l.
Nicholson si.c.
Fanno c.
Mohave s.l.
Mohave (Ca) c.l.
Anthony s.l.
Trace metal s^/jg/g)
Mn
50
360
80
4100
7400
330
950
280
825
770
275
Co
bdl*
50
25
120
310
60
50
45
50
50
50
Zn
40
77
45
110
320
100
130
70
85
120
55
"Mi
80
no
50
120
600
130
135
100
100
120
80
Cu
62
80
46
160
260
83
65
60
265
200
200
Cr
bdl
55
15
90
410
68
68
38
18
40
25
Fe
oxides
(*)
0.6
4.0
1.8
17.0
23.0
3.1
5.6
3.7
1.7
2.5
1.8

* Below detectable limit.
                                     12

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                          See  Figure Al on page 135 for
                          texture names and composition
                               Fan no
                                  Davidson

                                        •
                                     Molokai
                                 Mohavecca)
°/Kalkaska
  100
Figure   1
                                  Percent  Sand
                                                                0
The location  of  the research soil samples on the textural  diagram
based on the  percentage of sand, silt, and clay.
                                      14

-------
type septic tank (Figure 2).   It was coated with epoxy sealant,  packed with
representative municipal waste (Table 6), filled to the brim with water,  and
fermented for 6 warm-season months.   Clear leachate was withdrawn from the
bottom of the tank under high C02 pressure equipment and in the  exclusion of
air described in Methods and an earlier publication (Korte, et al, 1976).
The characteristics of the leachates used in this research are shown in Table
7.  Since no industrial wastes were included in the tank, the content of
trace elements is low relative to that of mixed municipal and industrial
wastes.  This made it advantageous to spike or add to the leachate the spe-
cific trace element needed for study of migration characteristics.

Spiked Leachate—
      Where spiked leachates were used, the pH was adjusted with HC1 to 5.0,
to facilitate handling and retard precipitation of dissolved ions, then
spiked with the element of interest to a concentration of 70-120 ppm.   These
concentrations exceed that which might be expected for strictly  municipal
landfill leachates but resemble what might be found in mixed municipal-
industrial waste leachates.  Furthermore, these concentrations were necessary
to assure migration through the soil columns in a reasonable period of time.
The precipitation of Pb was retarded by further decreasing the pH of the
solution to 3.0.  Where possible, the appropriate chloride was used for spik-
ing.  Oxides were used for As, Cr, V, and Se, and a nitrate for  Pb.   The
oxidation states for the elements were As+3, Be+2, Cd+2, Cr+6, Cu+2s Hg+2,
Ni+2, Pb+2, Se+\ and V+!  These ions, of course, are usually complexed in
natural systems.  For instance, the state of Se at pH 5 is probably HSeOI.


Other Displacing Solutions

      Other displacing solutions used for evaluating the contribution of  the
soil to the pool of soluble potentially hazardous elements were  (a) aqueous
H2S04 adjusted to pH 3.0, (b) 0.025 M A1C13 plus 0.025 M FeCl2 with enough
HC1 added to attain a pH of 3.0, and (c) deionized water.


METHODS

Leachate Sampling and Preservation

      To obtain necessary information on the pollution potential of landfills
(Hershaft, 1972), soil-contact research with natural leachate is required.
One major problem encountered in such experiments is to preserve the leachate
in its natural state for extended periods of time.  Similarly, the variation
in analyses of landfill leachates (Brunner and Keller, 1972) reported in  the
literature, leads to speculation that some of this variation is  due to inade-
quate techniques for sample collection and preservation.  Current thinking is
that acidification of samples is sufficient to keep all ions in  solution.
But, acid will not prevent ferrous iron from being slowly oxidized and pre-
cipitated (Strumm and Morgan, 1970; and Cotton and Wilkinson, 1966).  Clearly,
acidification alone is not acceptable for long-term research involvement  with
natural leachates.  The method described here uses C02 for sampling and main-
taining a natural leachate with minimal apparent changes in composition.
                                     15

-------
6 INLET FOR
LIQUID RECYCLING
                  T^

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                 1
X^ LEACHATE
/ RECYCLING
AN INLET -s

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                                  SIDE
Figure    2.   Diagram of  the  municipal solid  waste leachate  generator.
                                    16

-------
TABLE 6.   PARTITIONING OF MATERIALS IN THE MUNICIPAL  WASTE-TYPE  LANDFILL USED
          TO GENERATE LEACHATE
Solid Waste Material
Paper (mostly newspaper)
Food waste
Garden waste
Plastic
Rubber
Leather
Textiles.
Metal (mostly cans)
Glass
Ash 59#s
Soil 68#s,
Calf manure
Amount Loaded in 1000-gal Generator
Ib %
1,400 45
450 14
376 12
34
109
' 60 10
. 109 .
187 6
177 5
127 4
35 1
.7
.7
.3

.2

.1
.8
.1
.1
                                     17

-------
TABLE 7.  RANGES OF CONSTITUENTS DETECTED IN THE NATURAL LEACHATE GENERATED
          FROM MUNICIPAL SOLID WASTE AND USED IN THE SOIL COLUMN RESEARCH
          (pH 6.6-6.8)


                                                              Stabilized Range
                                                                  Used in
Constituent                     Overall  Range                   the Research
                              (3/1/74 -  7/7/75),             (7/1/75 - 7/7/75),
                                     ppm	ppm
Al
Ca
Cd
Co
Cr
Cu
Fe
K
Hg
Mn
Ni
NH4-N
P
Pb
Si03-Si
Zn
Cl
COD
EC
bdl*
90-275
bdl
bdl
bdl
bdl
48-120
150-950
bdl
0.6-1.8
bdl
70-190
0.8-7.9
bdl
19-31
0.1-3.4
93-3,900
150-500
2,400-2,800 ymhos/cm
bdl
160-225
bdl
bdl
bdl
bdl
60-120
850-950
bdl
0.6-1.8
bdl
125-190
--
bdl
20-25
0.4-0.65
780-**
160-200
2,400-2,600

 *
  bdl - means below detectable limits; the bdl  for atomic adsorption method
        used, in yg/S, are:  Cd = 0.005, Cr = 0.05, Co = 0.05, Cu = 0.05,
        Pb = 0.5, Ni = 0.05, Mn = 0.05, Zn = 0.005, Al  = 0.5, and Fe = 0.05.
**
  Where leachates were spiked with a trace element to simulate levels more
  closely related to that of industrial waste streams,  the Cl content may be
  as high as 5,000 ppm.
                                      18

-------
     The natural leachate obtained for this study was generated in commercial
septic tank previously described (Figure 2).  The tank was situated above
ground, packed with representative municipal refuse and saturated with water.
To insure solution uniformity a pump was placed at the outlet to recirculate
the leachate back through the solid-waste fill.

     The leachate was analyzed repeatedly until concentrations of most con-
stituents reached near steady state.  Atomic adsorption spectrometry was used
to analyze for Fe, Mn, Zn, Cu, Ni, Cr, Pb, Co, Cd, AT, and Mg.  Na, K, and Ca
were measured by flame emission.  Si, Cl, N03, NHi*, POi*, and COD were mea-
sured in the field at the tank outlet and electrical  conductivity (for dis-
solved solid evaluation) was measured in the laboratory.  Analyses of the
leachates are listed in Table 7.  The composition of the solution is within
the range for natural landfill leachates (Garland and Mosher, 1974).

     Two sets of samples were collected, one under C02 and the other exposed
to the atmosphere.  Each set consisted of three samples containing 0, 1, and
5% HC1.  To collect and maintain samples under C02, the collection vessel
was first purged with the gas and leachate was added while continuing to
flush the effluent with C02.  Once the collection flask was filled, the C02
hose was withdrawn and the flask capped.  For large samples and for preserva-
tion in the laboratory, C02 was constantly and vigorously bubbled through the
leachate both during transport and storage.

     Samples were passed through 0.45  millipore filters in order to analyze
dissolved and suspended fractions (US EPA, 1971).  Satorious membrane filter
holders were used to maintain a C02 atmosphere while filtering.

     The original color of the leachate was clear straw-yellow.  Those sam-
ples collected without acid or C02 turned dark green within seconds after
collection.  During the filling of any container, the color changed to dark
green immediately upon contact with the air.  Figure 3 compares two samples
collected simultaneously, #1 collected and maintained under C02, #2 collected
under C02 but exposed briefly to the air.

     The electrical conductivity of the leachate as measured in the labora-
tory was highly variable.  Samples collected under C02 and then measured
always had a higher conductivity than samples not collected under COa.  The
difference in these readings was on the order of 1000 ymhos/cm.

     The field pH of this leachate was 6.8, however for an untreated sample
the pH increased to 7.0 within minutes.  Figure 4 demonstrates this effect
as the leachate is slowly aerated with compressed air.  Samples of 25 liters
of this leachate have been maintained in the laboratory with pH varying from
6.5 to 6.8 for several weeks with vigorous bubbling with C02.

     When filtered, leachate collected with C02 and/or acid only slightly
discolored the filter.  Untreated leachate, however, left a dark green mass
of precipitate.  The major inorganic constituent of this precipitate was iron.
Zinc and manganese were also detected but since their total amounts were so
low, iron was a more convenient indicator ion for leachate changes due to


                                      19

-------
Figure 3.   Comparison of color of two samples of leachate:
           No.  1  maintained under C02;  No.  2 exposed to air,
                             20

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        21

-------
exposure or imposed treatments.  Small  amounts of Na,  K,  and Mg were detected
in the suspended fraction.   The quantities were generally less than 5% of the
total.  The only other ion found in significant amounts (50% relative to the
total), was calcium.   It undoubtedly precipitated as the  pH became alkaline
during the aeration of the leachate.  Although no specific analyses were con-
ducted for organic material, observations of a qualitative nature indicated
that a large portion of the precipitate was organic.

     The behavior of iron in natural systems has been  rather well documented
as the C02 exchanges with oxygen, the increase in pH and  the achievement of
oxidizing conditions causes precipitation of insoluble ferrous compounds
(Krauskopf, 1972), or oxidation of the ferrous iron which precipitates as
ferric compounds (Strumm and Morgan, 1970).   These processes are inhibited,
but not prevented by the addition of acid.  The amount of iron precipitated
in natural leachates in the absence of acid or C02 will vary with solution
composition.  Theis and Singer (1973 and 1974) showed  that products of vege-
tative decay can retard Fell oxidation for several days.   They also demon-
strated that the extent of complexation and/or precipitation increases as the
pH and organic/Fell ratio increases.

     Table 8 displays typical results for iron with the various C02 and acid
treatments.  All analyses were performed the day following sample collection.
The slight loss of iron from the sample collected under C02 alone is attrib-
uted to the filtering procedure as 25 liter carboys of leachate have been
kept under C02 in this laboratory with no detectable loss of iron for as
long as six weeks.  These data demonstrate that 1% acid is sufficient to keep
iron in solution for short-term storage.  However, it  must be emphasized
that for longer periods of time (i.e.,  2-3 weeks), precipitation of iron has
been measured in acidified samples.

     Precautions must be taken to preserve neutral natural leachates.  Even
momentary contact with the air results in precipitation and an increase in
pH.  When such a leachate is continually flushed with  C02, it can be pre-
served indefinitely without precipitation or changes in pH, color, and con-
centration of dissolved inorganic ions.

Soil Columns

     The soils were passed through a 2 mm sieve and then  uniformly packed
into 10 cm diameter x 20 cm PVC or 5 cm diameter x 10  cm  PVC columns for
irrigation studies.  Packing into the columns was undertaken one centimeter
at a time until full using a solid glass rod ^ 1 cm diameter for tamping.
Bulk densities for silt and clay soils exceeded 1.5 depending on the texture,
and sands exceeded 2.0.  See Table 1 on page 9 for the bulk densities of the
soils in columns.  These values were greater than those under natural field
conditions and insured against channeling either internally in the soil body
or along the sides of the columns.  The landfill leachate was continuously
flushed with gas and the deionized H20, H^O,,, and Al-Fe  solutions with N2
gas to keep the 02 content at a minimum during the infiltration process.  In
the smaller columns (deionized H20 and landfill leachate) the flow from each
column was adjusted so that approximately one pore volume flowed from each
column in 24 hours.  The flow rate for the H2SOit and Al-Fe solutions in the


                                     22

-------
 TABLE  8.   EFFECT  OF  VARIOUS  COLLECTION  TREATMENTS  ON  IRON
           SOLUBILITY IN  NATURAL  LANDFILL  LEACHATE
Treatment of Leachates                     Fe Recovery, %
Sampled with C02, 0% HC1                         95
Sampled with C02, 1% HC1                         99
Sampled with CO^, 5% HC1                         99



No C02, 0% HC1*                                  52



No C02, 1% HC1*                                  98



No C02, 5% HC1*                                  99
*
 Samples all filtered the day following collection
                             23

-------
larger columns was maintained at ^ one-half pore volume per day.   Columns
were leached until 15 or more pore volumes of water,  natural  leachate,  or
sulfuric acid solution had passed through the soil.   The Al-Fe solution was
allowed to flow until the effluent concentration of Al  and Fe equalled  that
of the influent.  Each sample was divided after collection so one part  could
be acidified to preserve it for trace element analysis  and another for  routine
constituent.

     The apparatus for evaluating the migration of trace elements through
soils is also represented by Figure 5.   The soils were  saturated while
inverted to exclude air and provide uniform wetting.   Carbon dioxide was used
to pump the solution to a constant head device where  landfill leachate  spiked
with the potentially hazardous trace element was being  studied.   The height
of the column was adjusted to maintain as uniform a flux as possible.  To
retard stagnation in the manifold the solution could  be recirculated back to
the main reservoir.

     Leaching was then initiated, and the effluent analyzed for the element
of interest.  Leaching was continued until one of three conditions were met;
first, breakthrough (effluent cone. = influent cone.);  second, steady state
(unchanging or very slowly changing effluent concentration at value below
that of influent); third, continued absence of the element after leaching.

     At the conclusion of the leaching experiments the  columns were segmented
into ten sections of 1-cm each.  Each segment was oven  dried so that a  mater-
ial balance could be easily calculated and so that no variations in moisture
content would be involved.  Preliminary results showed  that variations  in
extractability with dried versus saturated samples were slight—particularly
in light of the empirical nature of the experiment.

     Untreated soils were shaken with a solution containing the trace element
to sorb the maximum amount on the soil.  This soil was  dried and used to
determine optimum extraction times.  Extractions were done with 0.1 N_ HC1 and
deionized water in a 1:10 soil solution rate.  Samples  were then centrifuged
and the concentration of trace element in the extracting solution was mea-
sured by atomic absorption spectrometry.  A material  balance was calculated
from the data and the percentage extracted was correlated to soil properties.

Chemical Analyses

     Free iron oxides of the soils were determined by the method of Kilmer
(1960), surface area by the method of Heilman, et al. (1965), and manganese
by modified procedure of Bernas  (1968).  For total analysis a sample size of
O.lg of finely ground soil, 1 ml of aqua regia and 6 ml of HF were used for
digestion.  Boric acid (2.0g) then was added and the sample diluted to a
final volume of 50 ml.

     The trace elements  (As, Be, Cd, Cr, Cu, Hg, Ni, Pb, Se, V, and Zn) and
Al, Fe, and Mn of the spiked leachates  (influents) and soil column effluents
were measured by atomic absorption spectrophotometry using standard proced-
ures except for As, Se, and Hg.  Because of the relatively high concentra-
tions of these elements, the more specialized techniques of analysis, such as


                                     24

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cold vapor mercury analysis (Hatch and Ott,  1968),  and hydride generation of
As and Se (Chu, et al . , 1972), were not required.   Since these elements are
subject to severe interference in atomic absorption analysis,  chemical  inter-
ferences were minimized by matrix adjustment.   Lanthanum (1000 ppm)  and K
(100 ppm) were added to samples and standards  alike to equalize the  solution
matrix for all samples.  Non-atomic adsorption which was especially  notice-
able for Hg was measured with a H-continuum  lamp (Varian Techtron),  and sub-
tracted from the sample reading.

     Common ions (Ca,  Mg, K, Na,  Cl , NH^-N,  P, and  Si) were determined by the
standard US EPA recommended methods (1971) and COD  by the conventional
Technicon Autoanalyzer method.

     The pH values were measured  using the glass electrode.   Where pH,  common
ions, total dissolved solids were evaluated  on water-saturated soils (soil-
paste) and its extract, the method as recommended by the USDA (1954) was used
as was the total dissolved solids (IDS) and  cation  exchange capacity (CEC).

     Standard X-ray (Jackson, 1964) and mechanical  analysis procedures (Day,
1965) were used to identify the < 2y clay minerals  and the particle  size dis-
tribution of the soils.  Texture  classes are tabulated in Table 5.

Data Analysis

     Two types of variables were  considered  for the statistical analysis:
first, those representing soil properties — clay,  sand, percentage  of free
iron oxides, surface area, total  manganese,  pH, and electrical conductivity
of the saturation extract and second, those  measurements characterizing the
migration and/or attenuation of the trace elements; mass adsorbed per gram of
soil per milliliter of added leachate and maximum concentration.  The mass
balance for each soil  column is calculated from daily measurements of the
effluent and influent.

     These data were first used to calculate a matrix of simple correlation
coefficients (Korn and Korn, 1968) from which  independent variables  .(clay,
pH, etc.) having statistically significant  relationships with the dependent
variable (mass of element adsorbed per gram  of soil per milliliter of added
influent) were selected.  To quantitatively  decompose the effect of  cross-
correlation between independent variables (i.e., correlation between surface
area and clay content) a stepwise multiple  linear regression analysis
(Efroymson, 1960) was performed using only  independent variables which had
statistically significant simple  correlation coefficients.  In this  procedure
a predicting equation of the form:
                      y = bo+b.x.
= coefficients;
where y = dependent variable, XT  = independent variables, bj  = coefficie
is derived by adding one variable at a time (stepwise) to the predicting
equation, selecting as the next variable to be added, the one which most
rp"1 ices the sum of squares deviation between observed and predicted y.   The
    ?dure is therefore a least squares analysis capable of best fitting
     r combinations of independent variables to a dependent variable.  The
                                     26

-------
result is the evaluation and measurement of overall  dependence of a variable
on a set of other variables.  This can be very useful  for predictive purposes
and also for providing the actual  contribution of cross-correlated dependent
variables.
                                     27

-------
                                 SECTION 5

                           RESULTS AND DISCUSSION
EXPERIMENTS WITH SOIL COLUMNS

     The prominence of the soil  as the last defense against pollution of the
environment from solid waste disposals requires that its behavior under an-
ticipated management practices be characterized.  Wastewater, whether origi-
nating from waste streams directly or rainwater passing through solid waste
deposited on land, is the primary vehicle in which constituents migrate
through soil.  The aqueous vehicle need not originally contain potentially
hazardous pollutants to initiate pollution of the soil itself and subsurface
water sources.  Also of importance is evidence that the extent of the mobil-
ity and migration of soil-borne pollutants varies considerably depending on
the chemical nature of the aqueous vehicles.

Preliminary Leaching for Background Evaluation of Solubility of Sp_iJ-
Contanrinants

     Before interactions between two diverse media such as soils and landfill
leachates can be understood well, certain measurable characteristics of the
media themselves must be known.   One of the most important aims of the re-
search was to identify those soil and leachate parameters which clearly influ-
ence attenuation and migration rates of potentially hazardous constituents
when land disposals are involved.  The soils selected (11 soils representing
7 of the 10 major orders) represent a wide diversity of characteristics and
come from areas where climatic conditions allow these characteristics to
develop at a maximum.  Thus, the broadest land areas are represented covering
most of the United States.  Although these soils were taken relatively near
the surface compared to soils below many fills, the emphasis of the work was
on soil characteristics.  Thus,  by knowing the part certain characteristics
(e.g., clay, pH, salt) play in attenuation, anyone identifying the same
characteristics from greater depths may refer to those same properties in
soil material described in this study and use them in selecting management
practices and disposal sites for better pollution abatement.  It also must be
kept in mind that disturbed soil material is used to line, cover, and encase
landfill wastes.  In addition to the identification of the physical and chem-
ical soil parameters reported in Tables 3 through 6 of the previous section,
the soils were characterized as to their potential contribution to the soil
solution of certain soluble common and trace elements.

     The evidence is conclusive that subsurface water accumulates common
anions, cations, and trace elements from soil and geologic material through


                                     28

-------
which it passes on its way to underground storage.  For example, see Smith,
et al. (1949, 1963, 1964), and Dutt and McCreary  (1970).  Even before use of
commercial fertilizers ammonium and nitrate nitrogen appeared in appreciable
quantities (Collingwood, 1891, and Skinner, 1903), trace elements Cr(VI), Pb,
F, Li, Cl, B, and common salts were often found in waters in sufficient quan-
tities to prohibit their use for domestic as well as irrigation purposes.

     Soil chemists for years have extracted the soil with water, dilute acids,
organic solvents, and chelating agents to evaluate the "available" plant nut-
rients and the soil's capacity to continue to supply certain plant-requiring
elements (Black, 1965; Chapman, 1966; Mortvedt, et al., 1972; Walsh and
Beaton, 1973).  The abundance and distribution of plant macro-and micronutri-
ents have been well characterized for many soils in the United States.
Because of this preoccupation with nutrition for plant growth (food and fiber
production, recreation and landscaping) to the exclusion of other soil con-
stituent research, the fate of elements such as As, Be, Cd, Cr, Cu, Hg, Ni,
Pb, V, and Zn in soil is poorly characterized.  Since the objective of plant
production is centered on essential plant-nutrient "availability", little is
known concerning means and mechanisms for keeping or making the trace ele-
ments insoluble and immobile so they do not pose a threat to subsurface
waters and ultimate soil pollution.

     These limitations and the almost explosive accumulation and concentra-
tion of potentially hazardous pollutants from waste disposals (US EPA, 1973),
require immediate development of knowledge of the soil as a waste-treatment/
utilization system.  Before attenuation or migration factors of potentially
hazardous trace elements in soils can be understood, the contribution of the
soil itself must be evaluated under conditions of the more simple, known
systems.   The objective of this "base-line" study was to evaluate the contri-
bution of soils from seven orders with respect to the migration characteris-
tics of some common and trace elements as affected by leaching of water
alone, aqueous HzSOi*, A1C13 and FeCl2, and natural landfill leachate.  The
soil-column displacing solutions were selected for their representation of
some of the prominent characteristics of landfill leachates.  Displacement
with deionized water was expected to bring about the mildest or least solu-
bilizing action of all the solutions and should be comparable in effect to
rainwater.   Aqueous HaSO,,, adjusted to pH 3.0, was selected to provide infor-
mation on the solution effects of moderate acidity or hydrogen ion levels.
The AlCl3'FeCl2 solution, also adjusted to pH 3.0, was expected to provide
data on the effects of a very strongly buffered acid and a readily oxidizable
leachate.  The data from displacements with this solution should represent a
maximum contribution from the soil  to leaching by liquid wastes.  The natural
municipal landfill leachate represents a mildly acidic,  C02-charged,  aqueous
solution.

     Subsurface water pollution may originate from two sources, (a) the mater-
ial through which it travels and (b) the constituents present in waste or
other waters at the time they penetrate the earth's surface.  The results
reported here aim at an evaluation  of the most basic parameters of the soil
sources.
                                     29

-------
 Element  Solubilization  and  Migration with Deionized Water
      Many constituents  in the  soil  are  soluble.  This we know since  plants
 derive their nutrition  for  growth from  soluble constituents everpresent  in
 the  soil  solution  bathing the  roots.  Rainwater  is relatively pure.   In  this
 respect  it represents the quality of distilled or deionized water used in
 these experiments.   Oddly enough, many  of the 11 metallic elements  (as solu-
 ble  ions) such  as  copper  (Cu),  iron (Fe), and zinc (Zn) are required plant
 nutrients and known  as  well  in  excesses, as potential hazardous  pollutants.
 In very  small concentrations such elements are beneficial to plants  and  ani-
 mals, but in higher  concentrations  they may be harmful.  The soil contains
 all  of these elements at widely varying levels of concentration  and  degrees
 of water solubility  as  can  be  seen  from the data presented here.

      The tendency  for the concentration of the "total dissolved  solids", as
 indicated by the electrical  conductivity (Table  9), to' reach a maximum
 in the first pore  space displacement and decline rapidly to a minimum in the
 last (or nearly last) pore  space displacement, was shared by all soils.  Dis-
.solved solids,  for this system  and  the  soils used, for the most  part repre-
 sent solubilized mineral  salts.  The salts were  solubilized by deionized
 water in all  soil  pore-volume  displacements.  The trend, though, was for the
 concentration to stabilize  at  a somewhat static  level after about 4  to 5
 displacements in the sandy  soils to 7 to 10 displacements in clayey  soils.
 Kalkaska s.  was the  only  soil which yielded observable organic substances to
 the  column effluents.

      The most prominent cation  in the effluent was Ca.  The concentration of
 Na in the effluent usually  dominated over K.  In no soils did Mg elution ex-
 ceed that of Na, though it  exceeded K in 8 of the 11 soils.  Only traces of
 NHt  ions were detected  in most  soils.   Among the anions (Table 9),  the con-
 centration of Cl ions exceeded  that of  P and Si.  Sulfate was not determined
 because  of unsatisfactory methods for its evaluation unless unusually tedious
 and  time-consuming procedures were  employed.  Phosphorus appeared in measur-
 able quantities in the  effluent only from Mohave and Anthony sandy  loams.
 Silicates migrated in trace amounts from all soils except clayey Chalmers
 where the first two  displacements contained ^ 8  ppm Si.  Although HCOs ions
 were present in abundance in the effluents, analyses are not reported for
 any  of the leaching  studies because of  the tendency for instant  alteration  in
 values upon exposure to the atmosphere  as the effluent left the  soil  columns.
 The  concentrations found, therefore, would not be indicative of  the  solutions
 bathing  the soils  directly.

      The pH values of the soil  effluents tended  to be higher than that of the
 original  saturated soil paste,  except for the three arid-region  soils,
 Mohave(s) c.l.  and s.l.,  and Anthony s.l.  The pH values of the  effluent of
 the  arid-region soils tended to decrease as the  number of displacements  pro-
 gressed.   The sign of the slope of  a linear regression, comparing pH to
 number of displacements is  negative for 4 soils  and positive for 6  soils.
 The  variability in pH values was related principally to the variability  of
 the  C02  pressure of  the effluent since  pC02 rapidly decreased upon  brief
 exposure to the atmosphere.

      Trace elements  appear  in  the effluent from  only a few  soils (Table  10).

                                     30

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-------
TABLE 10.  CONCENTRATION RANGES OF SOME TRACE ELEMENTS IN THE SOIL-SOLUTION
           DISPLACEMENTS FROM COLUMNS RECEIVING DEIONIZED WATER

Soil Original
Series Soil pH
Wagram l.s.
Ava si .c. 1.
Kalkaska s.
Davidson c.
Molokai c.
Chalmers
si. c.l.
Nicholson
si.c.
Fanno c.
Mohave s.l.
Mohave (Ca)
c.l.
Anthony s.l .
4.2
4.5
4.7
6.2
6.2
6.6
6.7
7.0
7.3
7.8
7.8

Al
**
bdl -1
bdl-1
1-4
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl-5

Cu
bdl
bdl
bdl
bdl
<.05-0.8
bdl
bdl
bdl
bdl
bdl
bdl
*
ppm
Fe
0.1-0.4
bdl
2-6
bdl
0.1-0.3
bdl
<.1-0.3
bdl
<.1-0.2
bdl
<.1-0.3

Mn
<. 05-0. 85
<. 05-0.1
<.05-0.2
0.1-0.2
0.2-2
<. 05-0.1
bdl
<.05
<.05-2
bdl
<.05

Zn
<.005
<. 005-0. 5
<. 005-0. 05
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl

Data represent ranges of constituents for ^ 28 pore-space displacements.
Trace elements not detected in any soil leachate are Cd, Co, Cr, Ni, and Pb.
 bdl - means below detectable limits of the atomic absorption method used.
 The detectable limits for the atomic absorption method used in ug/£, are:
 Cd = 0.005, Cr= 0.05, Co = 0.05, Cu = 0.05, Pb = 0.5, Ni = 0.05, Mn = 0.05,
 Zn = 0.005, Al = 0.5, and Fe = 0.05.
                                    32

-------
The effluent from the highly acid soils, Wagram l.s., Ava si.c.l., and
Kalkaska s., most often contained Al, Fe, Mn, and Zn.  Copper migrated only
from the lateritic Molokai c.  Other trace elements, Cd, Co, Cr, and Pb, were
not detected in effluents of any soil.   Of interest is the finding that Al
and Fe were readily detected in the alkaline Anthony sandy soil  displace-
ments, whereas the limy Mohave c.l. yielded no detectable trace elements to
the displaced soil solutions.

Element Solubilization and Migration with Dilute HaSO,,
     Rainwater is neither acid nor alkaline in nature.  As it penetrates the
soil, chemical and biological reactions take place, changing its neutral
nature to acid or alkaline depending on the climatic condition.   Broadly
stated, the soils east of the Mississippi River have acid soil  solutions,
whereas those to the west have neutral  to mildly alkaline pH reactions.  Ex-
ceptions are numerous.  Leachates of municipal solid waste landfills accumu-
late acids.  To better understand what may be expected to occur in natural
soils when infiltrated with such leachates, dilute sulfuric acid was perfused
through soils to evaluate the solubility of certain potentially hazardous
constituents as well as common salts.  And indeed, the soil constituents were
found to be more soluble in dilute acid solution than water alone.

     Continuous leaching of the 10 soils with H2SOit of pH 3.0 for ^ 15 pore-
space displacements solubilized approximately the same maximum levels of
salts (Elect. Cond.) as deionized H20 except for Molokai c., and the arid
land sandy loams, Mohave and Anthony (Table 11).  About twice as much salt
was detected in the latter soil displacements as was found for the deionized
water perfusions.  Potassium contributed proportionally more toward this
higher level of salts than either sodium or calcium (Table 11).   The acid
solution also mobilized slightly more Mg and Si than water alone.

     After 15 pore-space displacements with the dilute HaSO^ (pH 3.0), only
effluents from Davidson c., Molokai c., Chalmers si.c.l., and Nicholson si.c.,
developed minimum pH levels significantly below those from deionized water.
Compared with the original soil paste pH levels, the minimum pH values of the
acid soils (Wagram, Ava, and Kalkaska)  effluent were not altered appreciably
by the dilute HaSOi* treatment (Table 11).  Effluents of Davidson c., and
Nicholson si.c. dropped about 2 pH units and those of the remaining soils
about 1 pH unit after 15 pore-space displacements.  All soils were highly
buffered against dilute acid leaching.

     The trace elements Al, Cu, Cd, Fe, Mn, Ni, and Zn, in general, were more
highly solubilized by the acid than in deionized water influent,  this was
particularly noticeable for Al, Fe, and Zn (Table 12).  Neither Cd nor Ni
were detected in the deionized water effluents but appeared in several efflu-
ents from the dilute H2S04 leaching.  Aluminum and Fe displaced most readily
from the most acid soils, Wagram l.s.,  Ava si.c.l. and Kalkaska s.  Manganese
was more soluble by far in Molokai c. (range of 22-230 ppm) than in other
soils.  The acid influent also solubilized markedly greater levels of Zn than
water alone.  The trend was for the concentration of the trace elements not
to change in the effluent as the number of pore-space displacements increase,
although in some soils, such as Wagram l.s., the migration of some trace
elements increased with leaching.

                                     33

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Element Solubilization and Migration with AlCl3-FeCh
     The contribution of the soil  itself must be fully evaluated under
conditions of the more simple known systems before attenuation and migration
factors of potentially hazardous metal  elements  in soils can be  understood.
Just as displacement with deionized water is expected  to bring about the
mildest or least solubilizing action of all the  solutions and should be com-
parable to rainwater, and aqueous  ^SCU, adjusted to pH 3.0 provides informa-
tion on the solution effects of moderate acidity, the  AlCl3-FeCl2 solution
also adjusted to pH 3.0 provides information on  the solution effects of a
very strongly buffered acid and a  readily oxidizable leachate.   Information
from displacements with this solution should represent a maximum contribution
from the soil to leaching by certain industrial  liquid wastes or leachates of
municipal waste disposals that accept highly acidic and oxidizing industrial
wastes.

     The pore-space displacements  for the Al and Fe solution, unlike those of
water and dilute H2SOi», were terminated at a time when the concentration of
both Al and Fe in the effluent had approached that of  the influent (i.e.,
breakthrough displacement).  The data in Tables  13 and 14 thus reflect varia-
ble rather than the same number of displacements for each soil.   Break-
throughs of Al and Fe for the very acid soils Wagram l.s., Ava s.c.l., and
Kalkaska l.s. occurred after a few pore volumes  (4-7)  compared with Molokai
c., Chalmers si.c.l., and Nicholson si.c. (20-26).  Retention of the Al and
Fe of the influent appeared to be  more related to soil pH than texture (or
clay) or some factor(s) less apparent (such as soil levels of the hydrous
oxides of Al, Fe, and Mn).  A comparison between the breakthrough of Al and
Fe individually also points to a possible soil pH correlation (Figure 6.
For example, at low soil pH values,in the range  of 4,  breakthroughs of the
two elements occurred in about the same displacement.   Aluminum decidedly
broke through first in Davidson and Molokai clays of pH 6.2 and Fe first in
soils above about pH 6.6 (Chalmers si.c.l., 6.6; and Nicholson si.c., 6.7).
For soils which are neutral to alkaline in pH, Fe decidedly broke through
before Al.  The minimum pH levels  of the effluents from soils were uniformly
in the mid to lower pH ranges of 3 (3.2-3.6)(Table 13). The 0.025MA1C13  plus
0.025J^ FeCl2  adjusted  to  pH  3.0 exhibited  a  highly acidic reaction with  the
soil.  The  abundance  of  free  iron  oxides  in  Molokai and Davidson  for  catalyz-
ing  the  precipitation  and  retention  of  iron.Jenne  (1968),also must be  taken
into  account in  the  interpretation of  Figure  6  data.

     All levels of common cations  and anions measured, except P, migrated
from the soils in concentrations far greater than that of deionized water and
dilute HaSO^at pH 3.0 (Table 13).  For example, the contents of K, Na, Ca,
Mg and Si in the various soil displacements reached maximums of 800, 300,
1,700, 880, and 62 ppm, respectively.

     Trace elements were mobilized to a much greater extent by the Al-Fe
solution than with H2S(Uat the same original pH level of 3.0 (Table 14).
Lead, Cr, and Co, which were not detected in effluents from soil columns
receiving deionized water and H2S04 at pH 3.0, appeared in the Al-Fe dis-
placements.  Nickel, for example,  migrated from all soils receiving the Al-Fe
solution, three receiving dilute H2SOit, and none receiving water alone.
                                     36

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The relationship between  the  soil  pH  values and pore-

volume displacements  occurring  before either Al or Fe
effluent concentration  equaled  that of  the influent
                               39

-------
     Many industrial  wastes and leachates from them are highly acidic (Barnes
and Romberger, 1968;  Aarons and Taylor, 1967)  and can be expected to alter
the soils to which they are applied.   An effect of such waste streams is the
release of naturally  present elements.  In general, this release is dependent
on the length of exposure of the soil  to the leaching solution.   It is expec-
ted that the concentrations of trace  metals eluted will depend on the flux of
leachate as well as the time from the initial  application of the waste stream.
Further objectives of the investigation reported here, therefore,, were to
evaluate the contribution of soils to trace metal elution under acidic leach-
ing conditions, and to relate this contribution to specific soil properties.

     Measurable amounts of Mn, Co, Zn, Ni, Cu  and Cr were identified in the
column effluents.   Most soils yielded traces of Cd and Pb,  but irregularly,
and only in barely detectable quantities.  Chromium was found in fairly large
amounts, but from only three soils, therefore  it could not  be reliably in-
cluded in the statistical analysis.

     Where measurable quantities of trace elements were eluted,  a uniform
pattern was established.   The concentration of the trace element increased to
a maximum and then tapered off to near or below the minimum detectable con-
centration.  Typical  elution curves for two soils and two trace  metals are
shown in Figures 7 and 8.   By plotting a dimensionless concentration versus
pore volume (or time) it is possible  to compare data from soils  whose total
amount of trace metal released may differ by as much as an  order of magni-
tude.  The total mass of trace metal  eluted characterizes the amount initially
present and the efficiency of the Fe-Al leachate in solubilizing it.   This,
of course, was not the situation when leaching with deionized water,  dilute
HaSOi,, or natural  municipal landfill  leachate.   The shape and position of the
peak or maximum concentration will provide information on the mobility of the
trace metal and the flow characteristics of the soil.  Differences in texture
and its consequent effect on flow are in part  responsible for the maximum
concentration for Anthony preceding that for Nicholson (Figures  7 and 8).

     Table 15 shows the maximum concentrations in the effluent for a particu-
lar soil, and the percent of the total analysis released by each gram of
soil.  The order of total amounts of  trace elements eluted  is:
                 Mn » Co * Ni ~ Zn > Cu * Cr > Pb * Cd

     Two types of variables were considered for the statistical  analysis:
first, those representing soil properties—clay, sand, percentage of free
iron oxides, total trace metal present (either Mn, Co, Ni,  Zn, or Cu, but not
their sum), pH, cation exchange capacity, and electrical conductivity.  The
second group consists of measurements characterizing the elutiori of the trace
metals:  mass of element eluted, mass eluted per gram of soil, maximum con-
centration, pH at concentration maximum and the time to maximum concentra-
tion.  These data were then used to calculate a correlation matrix (Korn and
Korn, 1968) from which interpretations were made.

     Shown in Table 16 are the correlation coefficients of  seven soil parame-
ters with the mass of trace metal eluted per gram of soil.   The texture of a
given soil is important in evaluating the contribution of trace metals by
that soil.  In general, a non-significant, positive correlation with the clay

                                     40

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TABLE 16.  CORRELATION COEFFICIENTS OF  MASS  PER  GRAM  ELUTED  WITH  SOIL
           PROPERTIES.  DATA FROM SOIL  COLUMNS RECEIVING  0.025  M  A1C1, AND
           0.025 M Fed   SOLUTION AT pH 3.0.                         J

Element
Manganese
Cobalt
Zinc
Nickel
Copper
Clay
.64
*
.65
.51
.36
.48
Sand
-.40
-.47
-.44
-.19
-.21
CEC
-.12
.15
.44
-.04
.07
EC
*
.69
*
.71
.48
.91f
**
.98
Iron
Oxides
.99f
.90f
.55
**
.78
*
.81
Total
Mn
.99f
.92f
.57
**
.86
*
.89
Total
Metal
.99f
.92f
**
.77
.99f
.76

*
   Significant at .05 level.

**
   Significant at .01 level.


   Significant at .001  level.
                                     44

-------
percentage and a weak negative correlation with the sand percentage is
obtained.  As might be expected, given the non-significance of the clay frac-
tion, the cation exchange capacity was also of little importance.

     It was not initially apparent that the electrical conductivities (EC) of
the saturation extracts would be important.  However, EC provided a good cor-
relation with the amount of trace metals eluted except for Zn.  This, despite
the fact that the extracts themselves contained minute quantities of the
trace metals.  No significant correlation was observed between soil pH or the
pH at the maximum concentration with the mass of trace metal removed.

     Overall, the best correlations with the mass of trace metal eluted were
obtained with the percentage of free iron oxides, the total Mn present and
the total amount of trace metal present.  This was also qualitatively ob-
served for those soils releasing Cr.  The only exception to these high corre-
lations was with Zn whose release by soils has been shown by Nelson, et al.
(1959) to depend on the amount of carbonates.  The presence of Fe and Mn
hydrous oxides has been claimed by Jenne (1968) to be responsible for the
attenuation of trace metals.  The present data indicate that these minerals
are equally important in estimating their release, and can be considered as
important as the total amounts of the trace metal.

     Also of importance are the relative mobility of the trace metal, or the
time to reach maximum concentration, and to what extent attenuation occurs
during transport as reflected by the maximum concentration.  The correlation
coefficients of the maximum concentration with the soil properties are simi-
lar to those for the amount of trace metal eluted.  Again, the significant
correlations with the electrical conductivity are difficult to explain.   How-
ever, for Co and Cu they may be a consequence of both the low concentrations
and small range of values measured.

     Table 17 presents the correlation coefficients obtained with the time to
maximum concentration.  This parameter indicates the difficulty with which
the soil releases the metal ion and indicates its relative mobility.  Soil
texture plays a role in determining the time to maximum concentration as seen
previously as the percent sand shows a stronger negative correlation.  This
is due to the influence of sand on the proportion of large pores available
for rapid movement of the dissolved species.  The correlations with cation
exchange capacity and electrical conductivity are less easily interpreted.
There is for Co and Cu a good correlation between the time to maximum con-
centration and electrical conductivity but not with cation exchange capacity.
For the remaining elements a better relationship with cation exchange capaci-
ty than with electrical conductivity is obtained.  Similarly the time to max-
imum concentration correlates strongly with the percentage of free iron
oxides, total Mn and the total trace metal only for Co and Cu.  The reasons
for this behavior are not clear.  Finally, the soil pH and pH at the maximum
concentration did not appear to correlate with any of the other variables.

     In summary, the primary factors controlling the release of trace metals
under acidic leaching appear to be the total metal originally present, total
Mn, the percentage of free iron oxides.  These factors also strongly influ-
ence the maximum concentration observed for all elements, but only for Co and

                                     45

-------
TABLE 17.  CORRELATION COEFFICIENTS OF TIME TO  MAXIMUM CONCENTRATION  WITH
           SOIL PROPERTIES FROM THE 0.025 M A1C1- AND 0.025 M FeCl9 SOLUTION

           AT pH 3.0                            J                 *

*
Element
Manganese
Cobalt
Zinc
Nickel
Copper
Clay
.74*
.54
.42
.34
.69
Sand
-.76*
-.44
-.67*
-.55
-.19
CEC
.49
.12
.51
.48
-.15
EC
.48
.81**
.13
.20
.78
Iron
Oxides
.67*
.80**
.14
.12
.93*
Total
Mn
.66*
.85**
,.12
.12
.95**
Total
Metal
.66*
.93f
.32
.26
.92*

*
  Significant at .05 level.

**
  Significant at .001 level.


f Significant at .001 level.
                                     46

-------
Cu are they  important  in determining the time to maximum concentration.  The
mechanism whereby the  electrical conductivity of the saturation extract re-
lates to the amount of trace metal eluted is unknown.  Soil pH and cation
exchange capacity are  unimportant in predicting the quantity of trace metal
that a given soil may  contribute to an effluent.

Element Solubilization and Migration with Natural Municipal Landfill Leachate
     The concentration of salts as indicated by the electrical conductivity
measurement  in the effluent from the soil columns during the 15 pore volume
displacements was lower than that in the influent landfill leachate.  Compare
data in Tables 2 and 18.  These lower levels of salt, however, were not suf-
ficient to offset all  of the salt added from the landfill leachate and leave
a balance attributable to the  soil itself as expected from value of the de-
ionized water study (Tables 9  and 18).  The acid Ava si.c.l. and Kalkaska s.
retained the salts more effectively than other soils.

     There were only small differences among the common cations, K, Na, Ca,
and Mg, in their contribution  to the total salt level of the effluent.  Potas-
sium retention by some soils,  however, was unusually high considering that it
forms relatively soluble salts and that the original concentration was 200
ppm K (Table 15).  Nicholson si.c., Fanno c., and Chalmers si.c.l., for
example, yielded only  a few ppm K to the soil-column effluents despite the
continuous displacements for 15 pore volumes.

     The pH of the effluent from the soil columns receiving natural landfill
leachate generally increased as the number of pore volume displacements
increased.  The sign of the slope of a least-squares line comparing pH values
to number of displacements is  positive for every soil but the arid region
Mohave and Anthony sandy loams.  Except for Wagram l.s. and Molokai c. the
minimum pH value of the effluents from the columns was lower than that of the
original soil-water paste (Tables 2 and 18).  The maximum pH values, though,
exceeded that of the soil-water paste except for those of the Mohave (Ca) and
Anthony arid-region soils of pH 7.8.

     The municipal landfill leachate was relatively low in trace elements
(Table 2) and these small amounts did not migrate through the soils in sig-
nificant quantities (Table 19).  This is not unexpected.  The landfill
leachate, though quite dilute, is well within that given by Garland and
Mosher (1974) for all  leachates.  Thus, attenuation of trace metals of
unspiked leachate is of great  interest in management of disposal and selec-
tion of land sites.  Even Al,  Fe, and Mn migrated only through the highly
acid soils (Wagram l.s., Ava si.c.l., and Kalkaska s.) in readily detectable
amounts.  These leachate data may be compared with those of deionized water
leach.

     By plotting the chemical oxygen demand (COD) of the soil-column efflu-
ents against the number of pore volume displacements (Figure 9) it becomes
evident that the soil  contributes to these values.   The COD of the natural
landfill leachate was  200 ppm, whereas soil  effluents of the first few dis-
placements exceed these values by manyfold.   A few examples of COD* in the

*COD effluent data for all  soils are available on request.

                                     47

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   10,000


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E
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                                     KALKASKA s.

                                     ANTHONY s.l.

                                  *- AVAsi.c.1.

                                  o- NICHOLSON c.
                     I
               2     4     6      8     10     12
                PORE  VOLUME-DISPLACEMENT
                                                    14
                                                       AV
20
Figure 9.
          The  chemical  oxygen demand of the effluent from columns  of
          four soils receiving natural municipal landfill leachate as
          related to the number of  pore volume displacements.
                               49

-------
TABLE 19.  CONCENTRATION RANGES OF SOME TRACE ELEMENTS IN THE SOIL-SOLUTION
           DISPLACEMENTS FROM COLUMNS RECEIVING NATURAL MUNICIPAL LANDFILL
           LEACHATE.

Soil
Series
Wagram 1 .s.
Ava s i . c . 1 .
Kalkaska s.
Davidson c.
Molokai c.
Chalmers si.c.l.
Nicholson si.c.
Fanno c.
Mohave s.l.
Mohave (Ca)
C.I.
Anthony s.l.
Leachate


Al
**
bdl -1.5
bdl-3.8
<. 5-11.2
bdl
<.5
bdl
<.5
bdl
bdl
bdl
bdl
bdl


Cd
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl
bdl

ppm*
Fe
<.l
<.l
3.2-3.9
bdl
bdl
bdl
bdl
bdl
<.l
bdl
<. 1-0.2
70


Mn
<.05-3.2
.2-0.6
<. 05-1.0
<.05-0.8
<.05-1.5
<.05-0.2
<.05-0.7
<.05-0.3
<. 05-3.0
<.05
<.05-3.2
1.6


Zn
bdl-0.1
bdl-0.2
bdl-0.5
<.005
<.005
<.005
bdl
bdl
bdl
bdl
bdl
3.7

**
All soil data represent ranges of trace elements for ^ 15 pore space
displacements.   Trace elements not detected in any soil-column effluent
are:  Co, Cu, Cr, Pb, and Ni.
bdl - means below detectable limits
                                     50

-------
soil-column displacements appear in Figure 9 to compare (a) typical
concentration-level changes with time and (b) effect of leaching a soil  high
in organic matter, such as Kalkaska s.  on COD migration.  The COD levels of
the soil-column effluent dropped rapidly, often from over 1,000, to  levels
within the range of the original landfill leachate by the time of the third
and fourth displacement.  Kalkaska s. dropped acutely from ^ 15,000  ppm to a
level a little above that of the influent, indicating soil organic matter
continued to contribute to the COD of the soil solution and migrate  over a
considerable period of time (15.pore volume displacement).  This suggests a
"COD Halo" might be found in the field early in the life of a landfill,  a
possible'indicator of the approach of a pollutant front, although there  are
no reports" yet of "COD Halo" from field observations.

Element Solubilization Compared for  the Four Solutions
     In comparisons of four commonly encountered aqueous waste streams (i.e.,
water alone, dilute acid, leachates strongly acidic with ready oxidizabTe
constituents [Al and Fe], and landfill  leachate), all initiated soil con-
stituent migration through the columns.  Although the amounts from pure  water
and municipal landfill leachate Teachings are not dramatically large, the
results serve as a necessary "base line" and provide such realisms as:  (a)
all soils do not release potentially hazardous constituents to migration at
the same rate, (b) the solubilizing and mobility effects are not a "one-shot"
condition but a continuing process, (c) even the "cleanest" vehicle  of trans-
port entering the soil (rain or deionized water) can conceivably be  a "dirty"
carrier, and (d) the nature of the soil itself, even under the most  ideal
conditions, must be critically characterized as an essential part of manage-
ment in disposal on land.

     The relationships between the total soil content of some trace  elements
and the amount displaced by the test aqueous solutions was not clear.  In
fact, the evidence points to no relationship between total and Teachable ele-
ments except with the Fe-Al leaching.  Although, Molokai c., which contained
the greatest level of the trace elements also yielded more trace elements to
the effluent than other soils.  This direct relationship, though, is not
applicable to other soils for mild Teachates.  It does not necessarily hold
that the level of trace elements in the effluents from the soils can be  pre-
dicted from the total level in the soil.  The plant nutritionist has long
recognized, for example, that total soil analyses predict poorly the "availa-
bility" of soil nutrients to plants or their solubility in aqueous extracts.
Likewise, factors other than total soil analyses must influence migration
rates of nonnutrient soil trace elements.  Kalkaska s., one of the soils
least abundantly supplied with certain contaminants (Table 5),for example
released these elements to deionized water, and dilute H2S04 (Tables 10 and
12) as readily as those soils that appeared to be much better supplied.
There is no pretense, however, that data on the 11 soils presented here  is
sufficiently extensive to establish universal rules relating total and dis-
placeable trace elements.  The research has developed evidence useful for
predicting migration trends of certain hazardous constituents out of soils.

     The mobility of the soil trace elements is dramatically affected by the
0.025 M^A1C13 and FeCl2 solution.   Although this solution was adjusted to
the same pH of 3.0 as that of dilute H2SOH, common soil anions and cations,


                                     51

-------
and trace elements migrated in quantities often several  times greater in the
presence of soluble Al and Fe.  A strong acid effect was apparent by the high
hydrogen activity of the effluent from the columns treated with Al-Fe com-
pared to effluent from columns treated with H2S04 at the same pH.

     The solubilizing effect of such highly reactive systems as Aids and
FeCl2 on soil constituents (Table 14) must be considered in the management
of industrial waste-stream disposals where they, and like substances, are
likely to be included in the waste system (Barnes and Romberger, 1968).  The
behavior of Fe in the leaching solution deserves special attention.  For ex-
ample, the great abundance of soluble Fe+2 (i.e., ^ 1200 ppm) migrated sur-
prisingly slowly even under very drastic acid and reducing conditions.  Fer-
ric iron was retained by those soils highest in "free" iron oxide.

     It is encouraging that municipal landfill  leachate, even after 15 pore
space displacements did not displace significantly greater amounts of trace
metals from the soils than did deionized water (see Tables 10 and 19).  How-
ever, common cations and anions such as Cl, Na, and K originally present in
the leachate may be a problem because they appear in substantial concentra-
tions in the effluents from the soils (see Table 18).  These data suggest
that under favorable soil conditions, municipal landfill leachates containing
low levels of trace metals will not pose a substantial threat of contamina-
tion of underground waters or soil with trace metals, at least not signifi-
cantly greater than what would occur due to infiltration of rainwater.  How-
ever, as shown in the next section, when municipal landfill leachate contains
elevated levels of As, Be, Cd, CN, Cr, Cu, Hg,  Ni, Pb, Se, V, or Zn, care
must be excercised because trace metal accumulation and movement in soils is
likely.  Similarly, this data suggests that care should be exercised in dis-
posal of acid solutions or wastes containing high concentrations of salts.
Even when these do not contain trace metals they may displace substantial
amounts of metals naturally present in the soil.

Migration of Contaminants Contained in Waste Leachates

     The migration of trace elements through soils depends upon many factors.
These can be divided into three general classes based on the properties of
(a) the soil, (b) the element, and (c) the leaching solution.  The latter two
categories encompass a host of potential matrix and synergistic effects.  To
adequately characterize these in detail would be inordinately complex and
time consuming.   Instead, the objective of this study is limited to defining
reasonably simple criteria for choosing soils as disposal sites.  A logical
beginning, therefore, is to determine first, the migration chracteristics of
specific hazardous trace elements, and second,  to determine which soil prop-
erties are most important for predicting attenuation of specific trace
elements.

     This objective was met by individually spiking natural municipal land-
fill leachate with eleven trace elements (As, Be, Cd, Cr, Cu, Hg, Ni, Pb, Se,
V, Zn) and perfusing this solution through eleven diverse soil types.  Fac-
tors defining the migration of the trace elements were correlated to certain
soil physical and chemical properties to evaluate their relative significance
for predictive purposes.

                                      52

-------
Summary of Results
     Raw research data that must be collected in such great volume for
statistical predictive purposes are interesting and give some information
about the relative mobility of elements and relative attenuation capacity of
soils but can be confusing to present in total here.  Therefore, necessary
data, from which the following diagrams and tables of correlation were pre-
pared, appear in the Appendix for those who wish to use them for application
to their own problems and in further understanding the mechanisms involved.
The raw data provide mainly an intermediate step leading to the statistical
analyses described later.

     A limited summary of the data is presented, recognizing that, even though
condensed, it may still be confusing.  The section on statistical analysis
brings some order and makes it easier to interpret.

     In retention by 10 soils of As, Cd, Cr, and Hg spiked into municipal
landfill leachate are presented in Figures 10 through 11, respectively, as
examples of migration behavior of specific trace elements.  The data are
given in terms of percentage retained from the leachate containing 72 (As),
100 (Cd), 83 (Cr), and 72 (Hg) ppm of each element and passed through 10-cm
of soil column during 9, 10.5, 14, and 7.5 pore-space displacements, respec-
tively.  The data illustrate a great diversity of retention.  Whereas one
soil may retain Cd quite well, it does not necessarily follow that it retains
Cr equally well.  This same type of variation is further illustrated by data
appearing in Table 20 where the pore volume in which the element first
appeared in the soil-column effluent is shown.  Retention of the 11  trace
metals will vary in excess of 27-fold, depending on the soil involved.   The
behavior of Hg in deionized water is dramatically different than in natural
municipal landfill leachate where organic constituents are present.   Mobility
in a wholly mineral environment was nil but in an organic environment,  quite
evident.

     The range of behavior encountered for the migration of the elements
through a particular soil is illustrated in Figure 12.  The movements of Ni,
Be, and Se through Ava si.c.l. are compared.  Ni was not strongly retained by
the soil in contrast to Be and especially Se.

     Figure 13 demonstrates variations due to soil type.  Nickel migrated
rapidly through the sandy soils such as Wagram l.s., but more slowly through
heavy clays such as Nicholson.  Molokai c.  exhibits a frequently encountered
condition of steady-state or very slowly changing concentration in the  efflu-
ent.  This non-equilibrium situation will be dealt with in detail in a  forth-
coming report describing a mathematical model of this experiment.

     Scatter in the data was sometimes greater than could be attributed
simply to sample handling and analysis.  Low concentrations in the effluent
usually coincided with an unexpected decrease in flow rate.  Raising the
hydraulic head to increase the flow returned the effluent concentration to
the previous level.  This behavior has been previously described by Biggar
and Nielson (1960) who demonstrated that a decrease in solution flux resulted
in increased breakthrough time.   These observations suggest an additional
control on trace element migration and will be examined quantitatively  in a


                                     53

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Davidson c.
                   £H
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                         PH
                                    8   9  10
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 7.   Fanno c.         7.0
 8.   Mohave s.l.     7.3
 9.   Mohave (Ca)     7.8
10.   Anthony s.l.     7.8
Figure 10.   Percentage of As,  CrVI,  and Cd retained by
            10 cm of soil after 9,  10.5, and 14 pore-
            space displacements, respectively.
                         54

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TABLE 20.  THE PORE VOLUME IN WHICH THE ELEMENT FIRST APPEARED IN THE SOIL-
           COLUMN EFFLUENT.

Soil
Series
Wagram l.s.
Ava si. c.l.
Kalkaska s.
Molokai c.
Davidson c.
Nicholson si.c.
Fanno c.
Mohave s.l.
Mohave (Ca)
c.l.
Anthony s.l.
Soil
PH
4.2
4.5
4.7
6.2
6.2
6.7
7.0
7.3
7.8
7.8
As
1
5
1
>13
>13
12
1
1
>10
1
Be
1
3
4
>12
6
> 5
> 4
13
> 6
5
Cd
1
1
2
30
3
13
>14
13
8
2
Cr Cu
1 >*20
7 1
1 >19
>19 >13
>17 >27
5 >12
1 >15
1 >19
1 >15
1 15
Pb
1
10
>17
>22
>26
>16
16
>16
>23
17
Se
4
>21
10
>14
>17
> 8
> 3
2
6
2
Zn
1
1
1
>27
5
7
>13
17
iii
2
Hg
1
1
i
7
1
1
4
5
6
1

 *
  > indicates that none of the elements appeared in the effluent for the
    listed number of pore volumes.
                                      56

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                                          58

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future experiment.

     The data obtained from any one soil column fits one of the generalized
curves shown in Figure 14.  Curves A and B represent situations where an
element is only weakly retained by the soil resulting in a complete break-
through  where C/C0 = 1 (C0 = initial concentration).  For curve A the rapid
rise in effluent concentration begins in the first sample, whereas the break-
through is delayed for curve B.  The steady-state situation is represented
by curves C and D.  The distinction is again that the element is detected in
the effluent in the initial samples for C, while in the latter case, initial
detection in the effluent is delayed.  Curve E represents the extreme case
where the concentration of the element in the effluent did not rise above
C/C0 = 0.1.

     The type of data obtained from each column is designated in Table 21.
Sharp breakthroughs are seen most often for sandy soils such as Wagram and
Anthony.  Clayey soils such as Nicholson and Molokai most often retain all of
the added element.  An important exception is the mobility of Cr in Mohave
(Ca).  This soil contains free CaC03 and has a relatively high pH.  Several
authors (Allaway, 1968; John, 1972; Shuman, 1975) have noted that alkaline
pH decreases mobility of trace elements.  Cr is obviously an exception.  It
was retained only by Molokai and Davidson soils which have the highest con-
centration of free Fe oxides and Mn.

Ranking of Elements and Soils--
     Recognizing the pitfalls of ranking elements and soils for attenuation,
this experiment still provides a rare opportunity to do so.  Figures 15 and
16 display qualitatively the relative mobility of the trace elements and the
relative effectiveness of the soils in attenuating them.  Chalmers soil is
not included since it was leached only with Hg, Pb, and Ni.  A statistical
treatment of the data is presented in a following section of this report and
support figures developed here.

     The elements of Figure 15 were all added as cations with a +2 valency.
Cu  and Pb are the least mobile while mercury was only weakly retained.
Molokai, Nicholson, Mohave (Ca), and Fanno were all very effective in attenu-
ating these trace metals, while sandy soils such as Wagram and Anthony were
very ineffective.  Liming soils might be expected to increase attenuation of
these elements.

The elements of Figure 16 are present in anionic species in the leachate.
Hydrous oxides exert an increasing effect relative to texture for these ele-
ments.  The involvement of pH can be recognized in the re-ordering of the
soils.  Every change from Figure 15 to Figure 16 involves greater efficiency
for soils lower in pH and/or higher in free iron oxides.  Apparently, for
these elements, liming would not significantly decrease their moiblity.

     The relative mobilities of trace elements through soils are quite vari-
able.  However, it should be possible to qualitatively predict the migration
of an element through a soil on the basis of the soil's physical and chemical
properties.  Soil texture, surface area, the content of hydrous oxides, and
the content of free lime provide the most useful information for predicting a

                                     59

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                              INCREASING MOBILITY
     t
 INCREASING
ATTENUATION
  CAPACITY
                                          MODERATE
                                          MOBILITY
    Figure 16.  Relative mobility of anion-forming elements in soils.
                               63

-------
soil's effectiveness.   The value of cation exchange capacity for predictive
purposes with natural  soils is limited.

     The results also indicate that two  fruitful  areas for future research
are the influence of soil amendments (lime or iron oxides) and solution flux
on trace element migration.  Management  of these in conjunction with know-
ledge of important soil parameters should provide improved capability for
land disposal of wastes containing trace elements.

Retention of Sorbed Constituents Against Further Leaching--

     It has been demonstrated that natural soils  themselves can release poten-
tial pollutants under the action of various leachates.  This is evidence that
land disposal should not be considered a permanent solution to the problem of
disposition of wastes.  Routson and Wildung (1969) have suggested the non-
permanence of land disposal, but quantitative data of this sort are lacking.

     In this section,  the potentials for desorption and relative extractabil-
ities of ten sorbed trace elements (As,  Cd, Cr,  Cu, Hg, Pb, Ni, Se, V, Zn)
are compared.  At the completion of the  leaching studies described above, the
columns were segmented at 1-crn intervals and each section was extracted to
compare how strongly the elements were held on the soils.

     Extractions are not a total analysis and the extraction efficiency is
expected to vary not only from soil to soil but from segment to segment of
the soil column.  Hodgson (1960) provided evidence that heavy metal sorption
is not completely reversible.  In his experiment non-extractable sorbed Co
was considered to be due to interlattice penetration.  Whatever mechanisms
are involved, depending upon the capacity and thermodynamic favorability of
competing sorbing reactions, an extractant would remove different percentages
of sorbed material from each column segment.

     Based on the many extraction studies of plant availability of nutrient
trace elements (e.g. Ivanov and Bolshakov, 1969)  it was concluded that con-
ditions of natural leaching could best be simulated by mild extractants.
Extractants used were H20 and 0.1 N^ HC1.  Extraction with water yields water-
soluble, very loosely retained trace metal and may be expected to simulate
natural leaching with rainwater.  The acid solution enables sufficient extrac-
tion from each segment to obtain a profile showing migration of the element
in the column.  Since natural soils have been shown by Fuller and Korte (1976)
to contain indigenous extractable heavy  and trace metals, all soils were ex-
tracted with water and 0.1 N^ HC1 similarly to those receiving spiked landfill
leachate to establish a background tare  for deduction from the amounts of
metals removed from the column segments.

     The general appearance of the data  obtained from the 0.1 ^extraction is
illustrated in Figures 17 and 18, showing the amount of metal extracted from
each segment as a fraction of the greatest amount of metal extracted from any
segment (usually the top segment).  These curves reflect the type of data ob-
tained from the leaching experiment.  Cadmium was not detected in any of the
                                      64

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effluent from the Molokai soil as evidenced by no Cd being extracted from the
last half of the Molokai column, Figure 17.  The breakthrough (effluent cone.
= influent cone.) of Cd through Wagram is typified by the plateau shown by
the extraction profile.  A third case is illustrated by Davidson c. where the
concentration in the effluent had leveled off or was slowly increasing.  The
extraction profile shows a slow decrease in extractable Cd as depth increases.
This range of behavior was followed for nearly all of the elements and could
be observed not only for a particular element but for an individual soil
(Figure 18).  Arsenic was fully retained by Davidson clay, Zn was quite
mobile, and Cr reached a steady state.

     Cu and Pb were strongly retained by the soils in this study.  Usually,
these elements were not detected in the soil column effluents over the course
of the experiment.  Extraction profiles can be used to observe differences in
behavior of the individual soils to this element.  The data indicate that
soil texture is the dominant feature controlling attenuation of Pb and Cu.
In Figures 19 and 20 are shown representative extraction data for Cu and Pb.
Migration was deeper in the column for those soils coarsest in texture.
Copper was extracted as deep as 6 cm from Wagram, 4 cm from Mohave, and 3 cm
from Fanno (Figure 19).  These data provide qualitative evidence that Cu and
Pb follow trends similar to the other + 2 cations as described in the dis-
cussion of the leaching phase of this experiment.

     The percentages of sorbed metal extracted from the columns by water are
shown in Table 22.  The percentages extracted by both water and acid are
based on the total amount of metal retained by the column during the leach-
ing study.  The order of extractability for the elements is generally V > Se
> As >. Cr > Zn > Ni > Cd > Hg > Cu > Pb.  Copper and Pb are the least mobile
elements and the least likely to be extracted by water once they are ad-
sorbed.  The elements which are most water soluble are those sorbed as
anions:  V, Se, As, and Cr.  Unfortunately, data of this sort are difficult
to relate to concentrations which would be desorbed by leaching.  It can be
emphasized, however, that of the total amount extracted by water from these
soil columns, virtually all was taken from the top half or higher in the
column.  Much of this material would be re-adsorbed as it travels down the
column.

     In Table 23 is shown the percentage of metal extracted by 0.1 N_ HC1.
The mass of element adsorbed by the soil in terms of yg/g appears in Table
24.  The order of extractability is Cd > Zn > Ni > V > Pb > Cu > Hg > Cr >
As.  There is no apparent trend.  Of more importance is the large amount of
material which could be extracted.  In many instances all sorbed metal was
extracted by the acid.  This acid is stronger than what would be seen in the
field but one can conclude that the more acid the leaching solution, the more
trace metal will be desorbed.

     Data presented thus far are not adequate to accurately predict the poten-
tial  for desorption of sorbed trace metals under all disposal site locations.
This may be due in part to variations in the amount adsorbed.  This creates
great difficulty in comparing separate experiments and may account for the
lack of significance of most of the correlations.  A better method for


                                     67

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TABLE 23.  THE AMOUNT OF SORBED TRACE ELEMENT EXTRACTED* FROM DIFFERENT SOILS
           BY 0.1 N HC1.

% Trace Element
Soils
Wagram l.s.
Ava s.c.l.
Kalkaska s.
Davidson c.
Molokai c.
Chalmers s.c.l.
Nicholson si.c.
Fanno c.
Mohave s.l.
Mohave (Ca) c.l.
Anthony s.l.
As
11
11
18
5
0
--
11
24
11
20
12
Cd
90
85
100
77
87
—
75
80
89
74
100
Cr
8
7
16
7
5
—
13
8
7
17
100
Cu
60
40
67
67
57
—
27
44
55
51
68
Hg
14
16
31
49
59
22
24
17
30
59
23
Ni
100
72
100
43
78
57
63
58
80
31
100
Pb
41
78
70
70
59
—
47
58
77
57
93
V
100
75
48
36
35
80
55
89
93
77
63
Zn
100
64
100
42
100
—
64
66
100
41
100

*
 Extraction percentages are based on the total amount of metal retained by
 the soil in the column.
                                      71

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studying potential for desorption would be to leach columns with other
leachate extractants after passage of solutions containing trace metals.

     The potential for desorption of trace metals is quite variable.   The
amount extracted with water for an element among this group of soils can vary
by one order of magnitude.  The amount of material leached by water is not
expected to be a serious migration problem.  On the other hand, acid leach-
ates applied to a disposal site can mobilize large quantities of sorbed trace
metals, even when preceded by a complete drying out of the site.

     This desorption research, however, is a beginning in a possible charac-
terization of a given soil and a single element for "leaking" adsorbed
(retained) hazardous polluting trace elements to underground water sources.
It may be used for broad predictive purposes.  Like the early research at-
tempting to characterize soil P as to its "availability" to plants, this
extraction study needs considerably more attention before accurate predic-
tions, as to its solubility and mobility relationships, can be fitted into a
universally practical program.  Indeed, some of the same factors influencing
P fixation (retention) as lime content in the West and iron and aluminum fix-
ation in the East must come into play with the trace elements.  Organic
matter association from leachates, waste streams, soil, etc., must also be
evaluated.   A fruitful study would involve more dilute acid extraction,
buffered salt solutions, bicarbonates, organic acids and others.

     Before embarking on trace-element desorption and solubilization soils
research, one must be realistic enough to recognize that answers will come
even more slowly than those for the plant nutritionist and soil fertility
expert.  The vehicle in which waste disposal constituents enter soils, in
contrast to the purity of rainwater facing the grower, is confounded with a
wide variety of leachates, waste waters, industrial waste streams, etc.,
which in themselves confound further the myriad of chemical, biological, and
physical reactions that may take place on land and in soils.

Relating Soil Properties to Attenuation

     Elucidation of the levels of importance of the biological, chemical  and
physical factors that influence the retention, release, and migration of
trace elements in soils is not complete since the research program has pro-
ceeded only to spiking of single (as opposed to multiple) elements and has
not been extended to field verification.  Moreover, for those elements which
did not "breakthrough" the 10-cm soil columns that were used, time did not
provide the opportunity to undertake more formal desorption experiments.   The
research has made great strides, however, in an area of soil science where
little is known and has substantiated the importance of some factors previ-
ously suspected of affecting attenuation in soils.  Judging from the data
already presented, one may broadly distinguish among those soil factors which
are important and unimportant in retention of contaminants (trace elements,
primarily) in soils, and those properties for which data from this project
are insufficient to clearly assess their importance.  These three groups are
presented in summary form as a basis for further discussion:
                                     73

-------
     1.  Most important factors in retention
         a.  Clay content
         b.  Free iron oxide content
         c.  Soil lime (pH effect), and
         d.  Solution flux through soil.

     2.  Least important factors in retention
         a.  Sand
         b.  Kind of clay mineral
         c.  Cation exchange capacity
         d.  Soil pH (anion-forming elements)

     3.  Factors not fully assessed in this study
         a.  IDS (total dissolved  solids or soluble salts,  EC.)
         b.  Hydrous oxides (primarily Mn and Al)
         c.  Specific ion effect and ion interaction effects
         d.  Biological activity in mineralization and immobilization
         e.  Reactions of organic  constituents both in soil  and in the
                 leachates (TOC)
         f.  Precipitation
         g.  Ion exchange reactions, and
         h.  Pore size distribution, surface reactions, physico-chemical
             adsorption, and temperature.

Statistical Analysis--
     To more conclusively relate soil properties  to the attenuation and
retention of selected trace elements, the appropriate data  were statistically
analyzed.  The methods used in these analyses may be found  in the section
describing materials and methods.

     Iron and aluminum—Correlations already have been presented for ferrous
and aluminum chloride (at pH 3.0)  leaching through 10 soils in Tables 16  and
17.  Of the 5 trace elements (Mn,  Co, Zn, Ni, and Cu) compared to soil proper-
ties (clay, sand, CEC, Elec. Cond.  [salt], free iron oxide,  total Mn and
total metal in soil) only CEC and  sand appeared not to be positively corre-
lated (Table 16).  The correlation coefficients of mass per gram of soil
eluted with soil properties are given.  Correlation coefficients of time  to
maximum concentration with soil properties in Table 17 again indicate CEC is
not significantly related to elution and sand was negatively related to
elution rate.  Significance was approached only for Mn and  Zn.

     Spiked leachate elements—The correlation of soil properties to the  mass
of spiked element adsorbed per gram of soil, per  milliliter of influent added
is illustrated in Table 25.  This  parameter reflects the soil's ability to at
least temporarily attenuate the trace element.  Correlations are not reported
for Pb, Cu, and Hg because there was not enough difference  in the behavior of
the soils for these elements for statistics to be meaningful.  Pb and Cu
were very immobile and did not migrate appreciably except in the case of  a
very sandy soil such as Wagram.  Hg had such a high degree  of mobility
through all the soils that no trend could be established.

     The percentage of clay sized  particles in the soil stands out as the

                                     74

-------
TABLE 25.   CORRELATION COEFFICIENTS OF MASS ADSORBED PER GRAM OF  SOIL  WITH
           SOIL PROPERTIES

Element
Arsenic

Beryllium

Cadmi urn

Chromium

Nickel

Selenium

Vanadium

Zinc
Clay
.88f
*
.78
*
.67

.56
*
.69
*
.71
+
.84T
**
.83
PH
.22

.47

.48

-.43

.51

-.30

.16

.52
CEC
.42
*
.62

.60

.21
**
.79

.44

.55
*
.71
Surface
Area
*
.66
**
.81
**
.71

.10
t
.88T

.39
*
.61
**
.84
Fe2°3
.60

.52

.46
**
.75

.27
*
.68
*
.69

.50
Mn
.52

.52

.45
*
.65

.24

.57

.49

.48

**
 =  significant  at  .05  level
if
 =  significant  at  .01  level


 =  significant  at  .001  level
                                    75

-------
most useful means of predicting whether a soil  will retain a particular
element.  This correlation does not seem to be  a reflection of cation ex-
change capacity.   The trend of the data represented in Table 25 seems to sub-
stantiate the earlier evidence of Tiller, Hodgson and Peech (1963) and Jenne
(1968) that the fixation of heavy metals is not necessarily related to cation
exchange capacity.  However, the fact that the  variability of soil structure
and clay mineral  types does not diminish the observed correlation coeffici-
ents indicates that some other physical or chemical property may be of more
fundamental importance.

     Surface area and the percentage of free iron oxides provide the best
correlations next to the clay fraction.  Looking at these two variables' we
can begin to discern a dichotomy between the behavior of those trace metals
which are in the  form of cations or anions.  The best relationship with sur-
face area is exhibited by those elements added  to the leachate as +2 cations.
This suggests that surface adsorption is an important mechanism of attenua-
tion for these elements.  Those elements present in the leachate as anions
correlate more strongly to free iron oxides than surface area.  Although
arsenic relationship was not significant at the 0.05 level in this case,
Jacobs, et al. (1970), have already shown the importance of sesquioxides in
scavenging arsenic.

     The inference should not be drawn that hydrous oxides do not play a role
in the fixation of cations.  Jenne (1968) has suggested that hydrous oxides
are the controlling factor in the environmental fixation of Mn, Fe, Co, Ni,
Cu, and Zn.  Additionally, in this work Molokai clay contains the highest
concentration of  Mn and free iron oxides of the soils used, and was the most
effective soil in attenuating the trace elements.   The importance of Fe and
Mn has been further demonstrated by an earlier  study with this same group of
soils showing that the release of naturally present trace metals depends pri-
marily on free iron oxides and total Mn.

     To further verify these results, a stepwise linear regression analyses
using the method  of least squares (Efroymson, 1960) was performed.  Coeffici-
ents of determination for two stepwise regression analyses for each element
and significance  of the corresponding predicting equations are shown in Table
26.  It is shown  that an equation utilizing percent clay, surface area, and
percent free iron oxides as the independent variables may be used to predict
the amount adsorbed for Cd, Be, Zn and Ni with  significance at the 99% con-
fidence level.  V and As show lower overall correlations with clay, surface
area and free iron oxides but the predicting equations were significant at
the 95% level.  In none of the above cases did  soil pH or CEC significantly
improve the reliability of the predicting equation by reducing the unaccount-
ed-for sum of squares.

     It has been  noted elsewhere that precipitation becomes an important
mechanism for removal of heavy metal cations from leachate as pH increases in
the range of 5-6.  Most of the soils in this study had pH's above this range..
Thus there is the possibility that a selection  of soils with a lower average
pH would have given a stronger correlation between removal and cation ex-
change capacity.   However, by definition of analytical procedure CEC repre-
sents a heterogeneous category of soil reactions still not well defined.

                                     76

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     Inclusion of soil pH as an independent variable significantly improved
the estimation of Cr and Se as shown in Table 26.  Statistical analyses not
presented in the table show that for this group of soils CEC did not appreci-
ably improve the ability to predict the adsorption of these trace elements.
Neither did the substitution of CEC for clay, surface area or both in the
statistical analysis yield equal significance.  This is probably due to the
empirical nature of the CEC measurements.

     In Table 27 are correlation coefficients of soil properties with Cmax/Co-
This parameter is indicative of the soil's reactivity for the element.  For
the reasons stated previously, Pb, Cu, and Hg were deleted.  Clay has less
significance than was seen previously with no apparent trend being estab-
lished.  Surface area alone correlates with the +2 cations; iron oxides and
manganese only with anions.  This is similar to the behavior seen previously,
indicating the separation of the trace elements into distinct groups, i.e.,
those that form anions and those that do not.

     Extraction of sorbed constituents — Table 28 is a correlation matrix
for soil properties and the average percentage of sorbed trace metal that
could be extracted from each soil by water when the soil columns were sec-
tioned at the completion of leaching with the spiked municipal landfill
leachate.  For several of the trace metals no significant relationships were
found.  Amounts of Cd and Zn extracted were negatively correlated to the
total amount held by a soil, indicating they were more strongly held in soils
with greater attenuation capacity.  Chromium retention was positively
correlated with clay, free iron oxides, and manganese, the same factors which
describe its adsorption.  In this instance, the more Cr sorbed, the more
easily it was extracted.  Most of these correlations had low levels of
statistical significance;  more study is required for firm conclusions.
Table 29 is a correlation matrix for soil properties and trace metal extrac-
tion from the sectioned soil columns by 0.1 M_ HC1.  Extracted V is negatively
related to Fe and Mn while the amount of Hg extracted is positively corre-
lated to Fe and Mn.  As for the water extraction, more study is required for
firm conclusions.

     Evaluation of Attenuation-Related Soil Properties Susceptible to
Management -- Further work was conducted on the soil properties: (a) pH,
(b) lime content, (c) hydrous oxides of Fe, and, (d) flux (solution flow
rate in soil).  The results of the soil column studies indicated the im-
portance of these soil properties but did not study the possibility of
altering them to favor attenuation.   A small  amount of additional  work was
conducted to determine whether further work was warranted on modifying these
properties under field conditions to improve attenuation.

     £H -- Even though soils used in this research ranged from 4.2 to 7.8,
only the retention of Zn and Cd were found to be significantly related to
soil pH, Table 28, and this only for the percentage of attenuated metal ex-
tracted by water.   pH appears to be more importnat in attenuation of those
trace elements which form anions, namely As,  Cr, Se, and V.  The pH effect
for Cr and Se is strongly suggested by the data in Table 26.  The evidence
for a pH effect on attenuation of V and As is very slight.   Although a pH
effect can be demonstrated in laboratory studies, the utility of this

                                     79

-------




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information, by itself, in the field is limited.   The latitude in location of
a landfill is often severely limited by political  and economic considerations;
suchlimitations may make it impossible to consider other locations when the
pH of soil at a proposed site is unfavorable.   In  such a case, the only op-
tion will be adjustment of pH at the refuse-soil  interface or in a relatively
shallow depth of soil below the landfill.  Because of cost and the need for
effectiveness over a period of time without reapplication, limestone or some
lime-based material will likely be used if pH-adjustment is attempted.

     Lime -- Thus, lime is associated with the pH  effect.   Results of the
spiked leachate studies for the calcareous (Ca) and non-calcareous Mojave
soils suggested that the presence of lime in a soil would be associated with
increased attenuation capacity.  Compare Figure 14 with Table 21 and note the
relative positions of the calcareous and non-calcareous Mojave soils in
Figures 15 and 16.  Although the presence of lime  was not associated with in-
creased  attenuation for all elements, the effect  was thought significant
enough to warrant some futher study of the use of  limestone as a means  of
minimizing pollutant release from landfills.

     One column of Wagram sand was overlaid by 1  cm of ground limestone, the
other by a layer of quartz sand.  Cadmium-spiked leachate was applied to both.
Although the limestone layered column was leached  for a longer time, the total
mass of Cd eluted from the sand-layered column (Table 30) was still more than
double that eluted from the limed column.  A similar effect of the limestone
barrier on attenuation of Ni in Wagram loamy sand  is shown in Table 31.

     The effect of limestone will not be this  dramatic for all elements.  In
fact, the mobility of Cr in Mojave (Ca) was greater than in the non-
calcareous Mojave soil.  Also, selenates are the stable form of Se in alka-
line soils and are quite soluble (Brown and Carter, 1969).  These data  rein-
force the conclusion of Hahne and Kroontje (1973)  that the relative mobili-
ties of a group of elements will not be oriented identically for every  soil.
It may be necessary, therefore, to incorporate different materials into a
land disposal site to accommodate a wide range of  potential pollutants.
Limestone liners for disposal sites would be most  useful on acid soils  where
the lime would immobilize cationic contaminants such as Cd and the underlying
soil could tie up anions such as Cr and Se.  Further work on the use of
limestone linings for landfills seems warranted.

     The pH effect and other effects of limestone  on attenuation of trace
elements could not be readily separated.  Nor could they be isolated from the
very strong effect of soil texture (particle size  distribution) in the  soils
studied.  The effect of pH appeared important in isolated instances.  In pure
systems,solubility constants of all the trace elements vary with pH of  the
medium.  The effect of a thin layer of ground  limestone in slowing the
migration rate of Cd and Ni (Tables 30 and 31) may well be as much a H+ ion
(pH) effect as a calcium or carbonate-bicarbonate  ion effect.  The limestone
effect on Cd and Ni in these brief studies is  thought to be mainly a pH
effect.

     Hydrous oxides of Fe  -- Data from the spiked leachate studies (Table 25)
suggested that iron oxides in soil were a significant factor in attenuation

                                     82

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               83

-------
TABLE 30.  THE EFFECT OF LIME ON  ATTENUATION OF Cd  IN WAGRAM SAND*

Pore Space
Displacements
1
2
3
4
5
6
7
8
10
11
13
15
23
pH of
Soil
Alone
5.1
5.4
5.4
5.4
5.4
5.4
5.4
5.4
5.4
5.5
5.5
5.5
5.5
Soil -Column Effluent
Soil +
Lime
5.3
5.9
6.0
5.9

5.9

5.9
5.8

5.7
5.7
5.6
Cd appearing
Soil Alone,
ppm
15
42
46
47
37
42
56
62
75
80
86
100
--
**
in effluent - ppm
2 cm of lime,
ppm
0
0
0
0
0
0
0
0
0
0
0
T
14

 10 cm depth of Wagram
**Cd content of leachate (influent) was 100 ppm
                                     84

-------
TABLE 31.  THE EFFECT OF LIMESTONE BARRIER ON ATTENUATION  OF  Ni  IN  WAGRAM
           SAND*

Pore Space pH of Soil -Column Ni appearing

*i
in effluent - ppm

Soil Soil + Soil + 2 cm . ., .,
Alone Limestone Limestone, ppm ~~^ Hione,
0.8 5.4 5.6 1.5
2.0 5.5 5.8 9.0
4.0 5.5 5.9 48.0
10.0 5.5 6.0 100
65
90
—
99

 Each column held 10 cm depth of Wagram sand.
**
  Ni content of leachate (influent)  was  100  ppm.
                                    85

-------
TABLE 32.  THE EFFECT OF LIMESTONE  BARRIER AND  HYDROUS OXIDES OF  Fe ON  „
           ATTENUATION OF Cr IN WAGRAM LOAMY  SAND  AND ANTHONY SANDY LOAM

Pore
Space
Displace-
ments
0.5
1.0
1.5
2.0
3.0
4.0
4.5
**
CrVI appearing in effluent - ppm

Soil
Alone

36
--
72
75
--
75
Anthony s.l.
2 cm of
Limestone
—
34
--
75
73
--
75

Fe Oxide
Added
--
1.8
--
2.0
7.5
—
24.0

Soil
Alone
4
--
25
35
75
--
—
Waaram 1 ,s.
2 cm of
Limestone
10
--
30
45
78
__
--

Fe Oxide
Added
0.3
--
0.35
1.0
5.0
—
--

 The columns held 10 cm depth of the two soils.
   CrVI  content of leachate influent was 75 ppm.
**
                                     86

-------
of some elements.  Consequently, exploratory work was conducted to determine
if study of iron oxide additions to soil would be worthwhile.  The Wagram and
Anthony soils were treated with an FeS04.7H20 solution to achieve 0.5% on a
dry weight of soil basis.  The soils were then air-dried, oxidized with H20z>
and then oven dried.  A 2-cm layer of treated soil was placed over an 8-cm
depth of untreated soil and leachate, spiked with Cr6+, was applied as in the
other soil column studies.

     The effects of hydrous oxides of Fe on attenuation of Cr in Wagram l.s.
(pH 4.2) and Anthony s.l. (pH 7.8) are compared in Table 32.  The migration
of Cr was clearly slowed by th presence of added Fe oxides.  Significant
correlations have been reported between percentage of trace element retained
by soil and "free" iron oxide content (Tables 25, 26, and 27).  Davidson and
Molokai clayey soils both have the highest content of extractable "free" iron
oxides and also unusually high capacity to retain trace elements.  This
attenuation capacity is greater than can be explained by the clay effect
alone.  Another point of interest is the highly significant correlation found
between iron oxide and total soil Mn. Proof for the importance of total Mn
was not developed.  Although Mn oxides are presumed to be significant, they
appear to be less effective than iron oxides.  These preliminary results from
soil column studies agree with the pure-system research reported by Jenne
(1968) and Gadde and Laitinen (1974) and suggest that further study of the
use of iron oxides as linings cannot be recommended for use at present.
Incomplete conversion of the applied iron salts to hydrous oxides resulted in
high concentrations of iron in the soil column effluents.  Unless the applica-
tion technique is improved, iron contamination would be a potential problem
in the field.

     Flux -- During the soil column studies with spiked leachate, accidental
decreases in flow rate were often associated with sharp decreases in metal
concentrations in column effluents.  There is precedent for this phenomenon
in the literature (Lapidus and Amundson, 1952) but only limited data are
available for systems where flow rate was the only variable.

     Leachate spiked with Cd was passed, at three flow rates, through columns
containing three soils to determine whether the effect of flux was great
enough to warrant further work.   As shown in Table 33, there was a flux
effect; lower effluent concentrations of Cd were generally associated with
the lower flow rates.   Similar work with Fe, Al, and Zn has also shown flux
effects.  However the magnitude of this effect varies, depending both on the
soil and on the element.   Further work is needed to determine the combina-
tions, if any, of soils,  elements, and flow rates that would cause the flux
effect to be large enough to warrant attempting to control flux beneath a
landfill.

A COMPUTER SIMULATION MODEL FOR PREDICTING TRACE-ELEMENT ATTENUATION

     One of the fundamental  goals of any short-term laboratory program is the
understand and predict the long-term behavior.  To obtain projections with
any degree of accuracy in this investigation of leachate pollutant attenuation
in soils, a quantitative analysis of the leaching studies is needed.
For this project, the analysis has taken the form of a theoretical model  and

                                      87

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a parameter estimation procedure.  Both techniques are described in detail.

     The complexity of real soils makes it infeasible to take into account
all physical and chemical processes occurring.  Instead, our approach has
been to isolate those features which appear to be of greatest importance.
For example, rather than attempting to elucidate the mechanisms of all the
reactions occurring, we have used effective rate laws to describe them.  Sim-
ilarly, instead of trying to precisely model the flow of solution through
interstices and within aggregates, we have instead used the concept of dis-
persion as a "lumped" parameter describing the flow geometry.  It is only by
making these or similar approximations that any practical results can be ob-
tained.

     However, by introducing unknown parameters, we are then faced with the
problem of estimating them from experimental data.  This problem is com-
pounded by random as well as systematic errors in the data, and the nonline-
arity of the parameters in  most models.  Because of the necessity of utiliz-
ing simplifying assumptions, particular attention must be paid to the condi-
tions under which these assumptions are valid and the range of conditions the
parameters are useful.

     The remaining sections of this portion of the report will address itself
to the following:  a) development of background model data, b) a description
of the model used, c) problems of parameter estimation, d) extrapolation of
the results, e) alternative uses of the parameters, and f) validation of the
model.

     A two-phase model for the miscible displacement of reactive solutes in
soils was developed first as background since it is believed that diffusion
into the stationary phase accounts for much of observed attenuation.  Briefly,
miscible displacement was studied in relationship to the flow regime to be
composed of separate mobile and stationary phases, Figure 22.  For example,
solute transfer through the mobile phase occurs by convection, whereas
adsorption (or reaction) by the soil matrix is diffusion limited and occurs
normal to the mobile-stationary interface.  According to Skopp and Warrick
(1974), "The model is unique in that a specific rate law is not assumed, but
the solution is exact.  Results are presented graphically as a function of
two parameters which are compared with experimental results of other workers.
The displacement of calcium by magnesium was more closely in agreement with
theoretical predictions, than adsorption of Picloram."

     Because of its highly technical approach, interested readers are
referred to the published version by Skopp and Warrick (1974) in Soil Science
Society of America Proceedings for further reading.

The Model
     From this background concept, then, the model  was developed using exper-
imental soil-column data.  Some unique possibilities in modeling are pre-
sented.  For example, the presence of steady-state concentration levels below
the input concentration implies the existence of nonequilibrium conditions.
However, not all columns exhibited this behavior, so that any model must be

                                     89

-------
                                           
-------
flexible enough to describe a number of physical situations.  One of the
simplest such models was presented by Lapidus and Amundson (1952).  They
solved the following set of partial differential equations:
                        ^=k,c-k2n                                    (2)

     The second equation describes the kinetics of the reaction of trace con-
taminant with the soil.  It assumes that there are first-order rate terms for
both forward and backward reactions.   These are effective reaction rates
rather than mechanistic descriptions of the reactions taking place.  Some of
the more important modifications that might be anticipated in the model fol-
low.  First, the reaction terms are probably second-order overall, and depend
on the availability of finite (but possibly numerous) reaction sites.  Sec-
ondly, there may exist more than one kind of site.  One result of this would
be the dependence of the leaching studies on the input concentration used.
Thirdly, different trace metals may be simultaneously competing for reaction
sites.  Also of interest may be the effect of solution pH on reaction rate.

     It should also be emphasized that all modeling and experimental work was
conducted using saturated soil and steady flow rates.  The most likely effect
of unsaturated conditions will be to increase the ability of the soil to
attenuate trace contaminants.

     In most cases taking into account a more realistic description of the
reaction rate results in equations whose solution must be obtained through
expensive finite difference of finite element techniques.   The distinct
advantage of the Lapidus-Amundson solution is that it can be presented in
relatively compact or closed form. The solution is:


                    f- = evz/2D[F(t) + k2 / F(t) dt]                     (3)
                     o                    o
where

     F(t) = e"k2t /  Io[2A1k2x(t-x)'/a]z/2^rEJx3exp-(z2/4Dx+xd)dx          (4)

                           d = V2/4D + k^a - k£                          (5)

     A computer program was written to present the above solution.  A listing
of the program and some sample data cards are available from the author.   The
program output includes a plot of concentration as a function of time or
distance.  Figures 23 and 24 are examples of the input data points from a
column experiment and the output curve generated using equation (3).  The
curves in these figures are not merely a least squares fit to the input data
but are calculated with the solution to equations (1) and (2) using values of
D, ki, and k2 estimated from the input data.  (It should be noted that the
concentration at any point in the column is the solution concentration and
not the amount reacted.)  To use the model, three empirical parameters D, Ki,
and k2 must be known.  In addition, the flow rate and porosity of the soil

                                     91

-------
  1.0

   .9

   .8

   .7

   .6

^°-5

Y .4

I -3
Wagram l.s,
As

r2 = 0.85
Ava si.c.l
Cd

r2 = 0.79
                                                           Kalkaska  s.
                                                           Ni

                                                           r2  =  0.92
           10     20    30     40    50      0

                                   TIME -  days
                                 10    20     30    40     50
   Figure 23.  Computer rate curves and experimental  points  for the  migration  of
               As, Cd, Zn, and Ni  through Wagram l.s.,  Ava  si.c.l.,  and Kalkaska  s.,
               respectively.
                                        92

-------
                  Anthony s.l
                  As
                  r2 = 0.74
 .£.
 .1
  0
1.0
 .9
 .8
 .7
 .6
 .5
 .4
 .3
 .2
 .1
      Anthony s.l
      V
      r  =  0.88
        10
 Figure 24.
                                                 I
                                            Anthony s.l,
                                            Cd
                                            r2 =  0.79
Anthony s.l
Ni
r  = 0.92
  20     30    40     50     0     10    20
                     TIME - days
30     40
                  50
Computer rate curves and experimental points for the migration of
As, Cd, Ni, and V through Anthony sandy loam.
                                       93

-------
must be available.  The next section will  describe how these parameters may
be estimated from the experimental  data.

     The problem of the amount reacted at any point in the column is also of
interest, particularly in describing the results of extractions of trace
metals from column segments.  While Lapidus and Amundson (1952) do not pre-
sent a solution for this aspect of the problem, the solution is readily ob-
tained by straightforward methods of ordinary differential equations.   The
result is:

                         n = e"k2t /  ek2t k] c dt                        (6)
                                   o

where c is the solution previously given.   At this time no further work has
been done with this portion of the model.

Parameter Estimation

     One of the major problems in using the model  described above is that of
obtaining meaningful values for the parameters.  The problem is complicated
because the parameters appear in a nonlinear form in the equation.  Also of
concern is the fact that although the model is deterministic, the data to be
analyzed is stochastic.

     A general approach to parameter estimation has been reviewed by Bard and
Lapidus (1968).  Using the procedures outlined therein a general  parameter
estimation program was written so as to allow the estimation of the two rate
constants and the dispersion coefficient.   Analytic derivatives were calcu-
lated and used in estimating the second derivatives.  The criteria function
used was the sum of squares, although likelihood estimators may be of more
value for model discrimination.  At this time no attempt was made to estimate
parameters for any models other than the one presented here.

     A list of all parameters estimated to date are given in Table 34.  The
incompleteness of the table is the result of two factors.  First, time and
money were limited.  The average 1975 cost to estimate a single set of param-
eters is of the order of $125-150.   The cost will  vary with the number of
data points analyzed.  Until its utility is justified, those samples which
were analyzed are those whose migration rate is the greatest.  The second
limitation is that for some soils the output concentration never rose above
one-tenth the input concentration.   For these columns only bounds can be
estimated for the parameters from the effluent data.  It may be possible to
estimate the parameters for these cases from the extraction data, although
this has not been done at this time.

     For most of the columns analyzed, the dispersion coefficient remained
nearly constant, in the vicinity of 9.5 cm2/day.  One way to increase the
efficiency of the program may be to assume a uniform value of ID,  and estimate
only the rate constants.  This procedure is relatively easy to do within the
context of the program as it is written.
                                     94

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TABLE 34.  PARAMETERS ESTIMATED

Element
Arsenic


Cadmium

Beryllium
Lead
Mercury


Nickel


Vanadium
Zinc

Soil
Anthony
Kalkaska
Wag ram
Anthony
Ava
Davidson
Wag ram
Anthony
Nicholson
Wag ram
Anthony
Kalkaska
Wagram
Anthony
Ava
Wagram
D
(cm2/day)
9.9244
9.9305
9.9185
9.9067
9.9214
9.8293
9.9750
9.8136
9.878
9.9316
10.540
9.8660
9.869
10.001
9.8909
9.9207
K!
(I/day)
0.3916
0.3572
0.6748
0.5611
0.2940
2.2983
1.2386
4.2171
0.3749
0.2972
2.1257
1.4866
0.5029
1.4621
0.6705
0.3980
K2
(I/day)
0.09893
0.06337
0.2457
0.1025
0.1173
0.2812
0.3044
1.4402
0.1048
0.05206
0.5018
0.4050
1.9177
0.4044
0.1504
0.1945
9
0.33
0.43
0.36
0.34
0.49
0.46
0.36
0.33
0.44
0.36
0.33
0.43
0.36
0.33
0.49
0.36
V
(cm/ day)
8.58
7.04
8.39
8.64
5.22
8.45
9.47
10.8
12.1
9.24
13.3
7.78
13.4
13.2
6.68
13.1
              95

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Extrapolation of Results

     While a knowledge of the parameters allows us to predict the
concentration at any time or place, this may not be the most effective
presentation of the results.  What we would prefer to know is how long can
we apply leachate before a given fraction of the original concentration will
appear in the groundwater.  Or how long will a material used as a liner react
with the trace contaminant before allowing it to pass through,   These types
of questions can be answered if instead of using the model to predict the
concentration, we fix the concentration and look at how far it has moved in
the soil profile.  To do this, we should like to be able to solve the model
equation in terms of x (distance traveled) and then plot x y_s_ t.  Unfortun-
ately, this cannot be done in a straightforward manner.  The values of x must
be obtained by an interpolation and plots made of x vs t for different con-
centrations and flow rates.  Examples of these curves are given in Figures
25 » 26 » 27 » and 28-  In each case the median flow rate chosen was the
same as the experimental conditions under which the column was run.  The
concentrations which are expressed as ratios to the input concentration were
arbitrarily chosen.  The actual value desired would depend on the input con-
centration and the water quality standard set for that particular element.

     Figures 25 and 26 represent a fixed concentration level and varying flow
rate.  Figures 27 and 28 are based on the same data, presented as a fixed
flow rate and varying concentration.  Similar curves using other concentra-
tion levels or flow rates can be generated using the computer program given.

     The predictions made, using the information presented here, should be
interpreted only as an estimate which can be strongly modified by unsaturated
conditions, clogging and changes in the structure of the soil.   Of these,
unsaturated conditions may be used to enhance the ability of the soil to
attenuate the trace metal.  The intermittent application (or rotation of
application among several leach fields) may provide a cheap means of increas-
ing the efficiency of the soil in treating wastestreams.

     The accuracy of any projection depends on how well the differential
equations actually describe the physical situation.  Without any validation
of the model either for longer times or different physical regimen, any pre-
dictions must be used with caution.  A further discussion of validation is
presented in a later section.  At this point the model must be viewed as
tentative and its accompanying predictions must be viewed as examples of how
the model could be applied after it is developed more completely.

Example--
     An illustration of how Figure 23 can be used now follows.  Assume a
wastestream of 0.25 ppm As is ponded on a Wagram l.s.  (or similar soil).  If
the water quality standards are 0.05 ppm, then we are interested in the move-
ment of As at a relative concentration of .05/.25 or 0.2  (this number is
dimensionless).  We may be interested in either how long it will take to
reach groundwater or how far it will move in a given amount of time.  First,
let's assume it is 60 cm to groundwater, and 3.7 cm of wastestream or leach-
ate from a waste can be applied per day.  Then the velocity is 3.7 cm/day
divided by the porosity  (see Table 34) or 3.7 cm/day/0.36 =8.3 cm/day. Using

                                      96

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   100
   80
   60
   40
20
   100
E
o
I
UJ
o
en
Q
    80
        60
   40
        20
    80
        60
   40
    20
                          Anthony s.
                          Vanadium
                          C/Co = 0.3
                Wagram I. s.
                Arsenic
                C/Co = 0.2
                      Velocities  (V)
                      are in cm/day
            Ava si. c.l.
            Zinc
            C/Co = 0.2
                                            Wagram I. s.
                                            Arsenic
                                            C/Co = 0.8
                                                    Ava si. c. I.
                                                    Zinc
                                                    C/Co = 0.8
                                                                  Anthony s.
                                                                  Vanadium
                                                                  C/Co = 0.5
            10      20    30     40     50       10
                                    TIME-days
                                                           20
                                                          30
40
50
Figure ^
       Plot of distance traveled v_s_ time  for  V  in  Anthony sJ.,  As in Wagram
       l.s. and Zn in Ava si. c.l., where  C/C0 is fixed and flow  rate (V) varies.
                                     97

-------
         80
         60
         40
         20
         100
         80

       E
       o
       I  60
      LU
      O
 Davidson c
 Beryllium
 C/Co = 0.5
      CO
      Q
         40
         20
                Velocities  (V)
                are  in  cm/day
         100
         80
         60
         40
         20
Nicholson
Mercury
C/Co =
                  10
       20    30
              Anthony s. I
              Nickel
              C/Co = 0.5
40    50
               Davidson c.
               Beryllium
               C/Co = 0.3
10
                                                 Nicholson si.c.
                                                 Mercury
                                                 C/Co = 0.2
                                                                    I
                                                          I
20
30    40
50
                                           TIME-days
Figure 26.   Plot of distance traveled V£ time for Be in Davidson c., Ni  in  Anthony s.l
            and Hg in Nicholson si.c., where C/C0 is fixed and flow rate  (V)  varies.
                                           98

-------
  100
   80
   60
   40
   20
  100
   80

 E
 o
 I  60
UJ
O
   40
CO
Q
   20
   100
   80
   60
   40
   20
             Nicholson si. c.
             Mercury
             V=I5.I  cm/day
                 C/CO=0.\-/;
C/Co = 0.3
C/Co=0.l
              Anthony s.l.
              Nickel
              V=I7.3  cm/day
                C/Co =
                             = 0.3
         C/Co = 0.5
              Anthony s.l.
              Vanadium
              V=|7.2 cm/day
              10
          20
                                               Nicholson si.c.
                                               Mercury
                                               v = 9.i  cm/day
                                      Anthony s. I.
                                      Nickel
                                      V=9.3  cm/day
                     C/Co = O.
                                      Anthony s.l.
                                      Vanadium
                                      V=9.2 cm/day
                                                      C/Co = O.
                                     C/Co=0.3
                                                     C/Co = 0.5
  30
20
30
40    50
Figure 27.
                     40            10
                       TIME-days
Plot of distance  traveled  vs_ time for Hg in Nicholson  si.  c.,  and
Ni and V in Anthony  s.l.,  where flow rate (V)' is fixed  and con-
centration (C/C0)  varies.
                         99

-------
  100
   80
   60
 Davidson c.
 Beryllium
 V=ll.4 cm/day
   40
   20
                            C/Co = 0.3
         C/Co=0.
                       C/Co=0.5
  100
   80

E
o
i  60
LU
O
2
CO
Q
   40
   20
   80
   60
   40
   20
Ava si. c.l.
Zinc
V = 9.6 cm/day
           C/Co = 0.2
                  C/Co=0.8
Kalkaska s.
Nickel
V= 10.7 cm/day
            10
       20
30
40
50
                        Davidson c.
                        Beryllium
                        V=5.4 cm/day
                                                                      = 0.1
                                                         ) = 0.5
                       Kalkaska s.
                       Nickel
                       V = 4.7  cm/day
                                                   C/Co=0.3
                       Ava si. c. I.
                       Zinc
                       v=3.6  cm/day
10
20
30
40    50
Figure 28.
                         TIME-days
 Plot of  distance traveled ys_ time for  Be  in  Davidson c., Ni in
 Kalkaska  s.,  and Zn in Ava si. c. 1.,  where  flow rate (V) is
 fixed and concentration (C/C0) varies.
                          100

-------
the middle line of Figure 25, we see that it will take about 36 days to reach
this depth.  Application would have to be terminated prior to 36 days because
continued leaching with only rainwater would move the 0.2 relative concentra-
tion some additional distance down into the soil.

     The second question can be exemplified by seeing how far this level will
move after a fixed time period, say 15 days.  Again, using the already calcu-
lated value for the velocity of 8.3 cm/day, this concentration should have
moved about 25 cm.

Alternative Uses of the Parameters

     One of the problems in using correlations to analyze data is that of
choosing soil or solution characteristics to measure.  If the mechanism of
attenuation is uncertain, then at best we must pick  (perhaps randomly) soil
properties and hope a significant correlation will appear.  One alternative
is to use pattern recognition techniques, another is to utilize the parame-
ters from a mathematical model.  If the model is at  all representative of the
true system, then the parameters of the model should relate strongly to basic
soil physical or chemical properties.   We might expect that such correlations
would be stronger than those obtained otherwise.  If this is true, then we
would have an even stronger basis for generalizing our results on trace metal
movement to previously untested soil types.  Because of the incomplete esti-
mation of parameters, no conclusive statements about the efficiency of this
approach can be made at this time.

Validation of the Model
     The fact that a particular model under a limited set of experimental
conditions can be made to fit available data does not imply that the model
is an accurate representation of the physical and chemical system.  The best
test of any model is to test it under conditions dissimilar to those under
which it was calibrated (i.e., the parameters were estimated).  There are
several variables that could be manipulated to provide this critical test of
the model.  Because data collected suggests that attenuation is sensitive to
the flow rate (or solution flux) this was chosen as the appropriate independ-
ent variable.  If, in future work, the parameters estimated at one flux are
comparable to those at a different flux, then we will have substantial evi-
dence that our model was the appropriate one.  If the parameters are incon-
sistent, they may provide some clue as to the best step to take in upgrading
the model.  Only when we have confidence that the model accurately describes
the soil-leachate system will we be assured that any projections made with
the model can be reliably used.

SPECIAL STUDIES WITH MERCURY AND CYANIDE

     Mercury and cyanide attenuation in soils could not be evaluated by the
same methods as the other trace metals because of their individual peculiari-
ties to form insoluble or volatile compounds with leachate constituents under
conditions of the general procedures adopted for the other trace ions.  Eval-
uation of toxic volatile substances also required fabriacation of different
equipment.  Special studies, independent of the trace elements therefore were

                                     101

-------
initiated to better understand the mobility of Hg and CN through soil  when
present with municipal  solid wastes deposited on land.   Research on both Hg
and CN only got underway as the contract period was being terminated.   This
lack of time and financial  support permitted the development of only a small
amount of data.  In fact, the CN program is represented primarily by a liter-
ature search and methodology development.   Perhaps the most perplexing prob-
lem was the finding that CN could not quantitatively be recovered from the
soil once it had made contact.  Nevertheless, the efforts described here rep-
resent necessary time expenditure, useful  to establish a point of departure
for further studies aimed at understanding Hg and CN migration through soil.

Mercury Reactions in Soil

    Mercury is regularly being introduced into our environment both by natural
(Wiklander, 1969) and by industrial sources (Joensuu, 1971).   The disposal of
wastes containing mercury has come under both governmental  and scientific con-
cern.

    Previous studies indicate that mercury under field conditions moves very
slowly if at all through soils (Poelstra et al., 1973).  Furthermore,  re-
searchers studying soils to which mercury fungicides have been added also
report that mercury mobility is minimal  (Kimura and Miller, 1964).   In con-
trast, water soluble organic compounds formed by leaf fall  of several  tree
species in soil leachate was found to decrease the adsorption of mercury by
soils.  These leaf compounds in an extracting solution also increased the
removal of mercury from the soil (Makhonina, 1969).  This suggests that
mercury may be mobile or immobile in soils, depending on the characteristics
of the leaching solution.

     The objective of this  research was to examine the mobility of mercury in
different solution matrices.  Mercury was leached through 4 soils in the
following solution matrices:  municipal  landfill leachate,  deionized water,
and a 0.25 mM solution of sodium EDTA in deionized water.

     The four soils, Anthony s.l., Davidson c., Fanno c., and Chalmers si.c.
1., were packed in a 5 x 10 cm PVC pipe to a density of 1.8, 1.4, 1.4, and
1.4 g/cm, respectively.  The solutions were:  (a) municipal landfill leachates
spiked with HgCl2 to give 75 ppm Hg, (b) deionized water with HgCl2 to give
90 ppm Hg, (c) deionized water with 0.25 mM Na2 EDTA plus HgCl2 to give 90
ppm Hg.  These high concentrations were used so that differences in mobility
of Hg through the soil  would be readily apparent and so that analysis would be
less difficult.  These concentrations also minimize the effect of Hg loss by
vaporization (Newton and Ellis, 1974) and compensate for the possible extran-
eous adsorption by container material (Poelstra et al., 1973).  All solutions
were adjusted to pH 5 with HC1.  The solution of Na2 EDTA was found, with a
Technicon autoanalyzer, to contain approximately 250 ppm COD which was close'
to the 230 ppm COD measured in the municipal landfill leachate.  The methods
and procedures for solution displacement and collection used for Hg studies
were similar to those previously described but modified by strategic place-
ment of traps to evaluate losses by volatilization.

     The results in Figure 29 illustrate the adsorption of Hg from the three

                                     102

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                                          103

-------
solutions by the Fanno soil.  Data for the soils,  Davidson and Chalmers, were
very similar to the Fanno soil  in spite of the differences in their proper-
ties.  This indicates that the leachate composition had a more significant
effect on Hg mobility than did soil  properties.

     Table 35 shows that Hg in the landfill leachate is more mobile than Hg
in deionized water.  This is in agreement with Makhonina (1969) who found
that organic compounds in the leachate reduce the  ability of soils to adsorb
mercury.  Therefore Hg mobility through soils would be expected to be in-
creased in the presence of landfill  leachate.  Table 35 also shows that only
in the Anthony soil was Hg in the EDTA solution more mobile than in water
alone.  This suggests that EDTA chelation is not the only factor in mercury
movement.  It is pertinent to note that there are  several other kinds of
compounds and complexes that Hg forms with organic matter (Symposium, 1966),
and any or all of these could play a part in Hg mobility.

     The landfill leachate was kept  under anaerobic conditions, pH 5, and had
about 230 ppm COD; Hg+2 may have been reduced to the mercurous ion (Hem,
1970) in this solution.  The monovalent ion could  be more mobile than the
divalent mercuric ion due to the effect on the double layer (King, 1959).

     It is evident from this study that soils can  adsorb Hg from water more
effectively than from a landfill leachate.  Formation of mercurous ions in
the presence of organic matter supports these findings.
Cyanide Reactions in Soil

     Cyanide appears in nature and industry in many chemical  and biological
combinations and forms:  these require some discussion as a basis for under-
standing the work reported in this section.  In industrial  wastes, "cyanide"
refers to all CN groups in the cyanide compounds present that can be deter-
mined as the cyanide ion,  CN~, by the methods used (Taras,  1971).  The cyan-
ides are conveniently classified into (a) simple, and (b) complex groups.
     The simple forms occur as:
                                  A(CN)x                                 (1)
where A = an alkali (Na, K, NH ) or a metal, x = the valence of A and the
number of CN groups, and CN = is present as CN~.

     The complex forms are many and varied but the alkali-metallic cyanides
have the formula:

                                  AyM(CM)Y                               (2)
                                         A

where A = the alkali present y times, M = a heavy metal (Fe  , Fe   , Cd, Cu,
Ni, Ag, Zn and others), and x = the number of CN~ groups and is equal to the
valence of A taken y times plus that of the heavy metal.

     The anion radicals in the complex cyanides appear as M(CN)X.


                                     104

-------










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105

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     When the simple cyanides come in contact with acids,  HCN forms.   The
metal cyanides vary widely in their decomposition to HCN in  acid.   As a
matter of convenience they may be grouped further, on a basis of rate of
decomposition, as

Readily decomposable - metallic forms of Ag,  Au,  Cd, Cu, Ni,  Pt, and Zn.

Slowly decomposable - Fe, Co.

     The stability of alkali-metallic cyanides also varies in aqueous solu-
tion alone.   Many remain rather stable in water.   Because  of  the toxicity of
CN~, the formation of the more stable cyanides has been a  significant factor
in the activity of biological systems.

Aqueous Wastestreams—
     Studies involving cyanides and aqueous wastestreams although only indir-
ectly related to cyanide attenuation in soils, can provide some clues to
chemical and biological reactions which may be expected to occur in soils.
Reactions in most waste waters (landfill leachates, sewage waters, polluted
streams, and waste waters from a wide variety of  industrial  sources) are more
readily definable in aqueous than soil media.  Moreover, toxic limits of CN
to biological systems appear to be more readily identified in the absence of
the highly variable sorption and buffering capacities of soil materials.
The identification and evaluation of CN~ in sewage, leachate, waste and pol-
luted waters appears, from our studies at Arizona to be much  more quantitative
than for soils.  A number of procedures have been reviewed by Taras (1971),
certain of which are offered as quantitative with the exception of cobalti-
cyanide.  Sulfides, heavy-metal ions, fatty acids, oxidizing  agents, and
other interfering substances which often respond  to removal  by distillation,
however, can seriously influence the quantitative evaluation  of CN.  These
may be expected to be some of the same substances which influence the migra-
tion rate of CN in soils.

     Virtually no organic compound is left immune to degradation by the high-
ly versatile microbial population.  Cyanide is no exception  despite the fact
that it is highly toxic to biological systems as  CN~, (Taras, 1971, Ludzack
et al., 1951, and Dodge and Reams, 1949).  Simple alkali cyanides and many
alkali-metallic cyanides, which form CN~ in aqueous solution  may decompose
slowly to CN", resulting in varying degrees of toxicity.  The level of tox-
icity of the more stable cyanides depends on the  metal present and the pro-
portion of CN groups converted to simpler alkali  cyanides.

     The threshold limit of CN" toxicity on biological activity of aqueous
systems also varies widely with such environmental factors as water quality,
temperature, type and size of the organism.  Thus, definite effects cannot be
established except in terms of the nature of the  effects.   For example,
Lockett and Griffiths (1947) report that 5.0 ppm  of CN in  sewage treated by
the activated process had a marked depression effect on the purification pro-
cess, whereas Ludzack et al. (1951) found inhibition effects  as low as 0.3
ppm under certain other conditions.  In concentrations of 6%  CN, all waters
studied were purified up to 50% or more of the control within 10 days of
incubation.

                                     106

-------
     Of particular interest because of its toxicity to the cytochrome system
is the utilization of cyanide by specific microorganisms.  Ware and Painter
(1955) isolated an aerobic autotrophic actinomycete from sewage which is cap-
able of growing on silica gel containing only KCN as a source of carbon and
nitrogen.   This organism can utilize concentrations of CN up to 15 mgm/100 ml
but grows more favorably at 4 mgm/100 ml concentrations.  The rate of utili-
zation in colony culture approached a maximum of 0.5 mgm CN/day.  Presumably
the general reaction proceeds as follows:

                   2KCN + 4H20 + 02 + 2KOH + 2NH3 + 2C02                 (3)

Other examples of specific microbial assimilation and transformation of CN in
synthetic media (not soil) are those of Reynolds (1924), Strobel (1964), and
Allen and Strobel (1966).  The active organisms all are fungi.  Howe and Howe
(1966) have patented a process for biological degradation of CN using the
biological masses of the activated sludge system.  They claim to have suc-
cessfully degraded or detoxified more than 570,000 Ibs of CN~ in a period of
a year.  The system does not require any specific organism and may be written
as:
     Microbial masses + CN" /+r  pn  NH T Vitamin BIZ in the biomass     (4)
                            ( LO,^u4,i^M3; arid degrac|ation of CN

Soils—
     Cyanide finds its way into soils primarily through the activity of man,
although it is produced by some fungi (Bach, 1956); at least one bacterium
(Michaels and Copre, 1965); and many higher members of the plant kingdom
(Robinson, 1963).  Cyanide also is utilized as an energy source and/or source
of nitrogen by plants and microorganisms (Goldschmidt et al., 1963, Allen and
Strobel, 1966, and Ware and Painter, 1955).  In fact, cyanide and related
compounds as cyanamid, dicyanodiamid, and guanidine nitrate have long been
regarded by the agriculturalists as potential nitrogen fertilizers.  As early
as 1918 Cowie (1919a) of the Rothamsted Experiment Station, Harpenden,
England, recognized that cyanamid can serve as a valuable fertilizer because
it forms ammonia readily in soils.  Nitrate-nitrogen then accumulates
through the usual microbial-ammonia-oxidation channel (Cowie, 1919, McCool,
1945b, and Fuller, et al., 1950a, 1950b).

     Fuller, et al. (1950), using a calcareous soil and Volk (1950), using an
acid soil found that cyanamid was inhibitory to ammonia nitrification in soil
at high concentrations.  In the calcareous soil, cyanimid was readily con-
verted to nitrate when applied at rates of 100 ppm N.  At 200-ppm-N rates,
only about half of the nitrogen was converted to ammonium-nitrogen during
the year, and only small amounts of nitrate-nitrogen were detected.  The pH
at the high rate was near 8.0 and above.  At pH values of 7 or below the
reaction may be expected to be:

            4CaCN2 + 9H20 + 2Ca(OH)2 + (CaOH)2 CN + 3CO(NH2)2            (5)

See Fuller, et al. (1950).  The urea may then hydrolyze to yield NH3 + C02.
                                    107

-------
     At pH values between 7 and 8 both reactions may be expected to occur
with the formation of urea exceeding that of dicyanodiamid.

     Anaerobic soil conditions presumably cause cyanamide to decompose yield-
ing nitrogen gas.

     Pi cyanodiamid--applied to a calcareous soil was found by Fuller et al.
(1950) to yield only small amounts of ammonium-nitrogen over a year's time.
Nitrates do not form in appreciable quantities and were depressed even below
that of untreated soil.  Cowie (1919a) also claimed dicyanodiamid gave no
evidence of nitrification in soil over periods of several months.  Dicyano-
diamid inhibits oxidation of ammonia, although it may not be toxic to organ-
isms other than the nitrifiers.

     Cyanide--(CN") added to soil in modest amounts (up to 200 ppm NaCN)
appears to be readily transformed and/or degraded depending  on the oxidation/
reduction conditions.  In fact, McCool (1945b) suggests it is only slightly
less effective as an N-fertilizer for tobacco, corn, and mustard than sodium
nitrate when applied to nitrogen-deficient acid soils.   Cyanide as KCN15 was
shown by Strobe! (1964) to yield C02  and NH3 in the presence of non-sterile
soils.  He further suggests that cyanide is fixed by various soil organisms
in several ways, all of which give rise to some organic nitrile.  The nitriles
yield ammonia plus the corresponding organic acid as a result of nitrilase
activity.  Many microorganisms of the soil can utilize ammonia and fix the N
in the form of living cells.  Strobe!'s (1967) experiments with doubly
labeled CN (C1JtN15) showed that the N of the cyanide was retained more firmly
than the C.  Mobility of CN~ through soil according to McCool (1945a) also
appeared to be slower than that of nitrate from sodium nitrate sources.

     Despite the fair amount of information on cyanide reactions in natural
and waste systems, a number of critical gaps exist which need filling before
predictions concerning the fate of CN" in the wide variety of habitats in
soil can be made with confidence.  Some of the most obvious  deficiencies in
information are in the area of anaerobic reactions.  Since many of the CN
wastestreams, waste ponds, and leachates end in an anoxic or anaerobic habi-
tat, the initial research program obtained data in this area.

Objectives--
     The objectives of this research program were:

     1.  To study the rate of degradation of simple and complex cyanide under
saturated and unsaturated (60% of field water-holding capacity) soil condi-
tions.

     2.  To evaluate the influence of different organic energy sources (as
glucose, straw, sawdust, manure) on the rate of degradation or transformation
of CN.

     3.  To study the mobility of CN, in water and municipal landfill leach-
ate, through soils with distinctly different chemical and physical proper-
ties to statistically relate soil parameters to observed attenuation and
degradation.

                                     108

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Procedures—
     Cyanide movement—Three sets of three different soils were packed in a
pvc column 5 cmin diameter and 10 cm long to a specified bulk density.
Each set was connected to one of three constant head devices,  each one con-
taining a different cyanide solution.   Solution #1  contains potassium cyanide
in water; solution #2 contains potassium cyanide in a landfill  leachate,  and
solution #3 contains a complex form of cyanide in deionized water alone,
Table   .

               TABLE  36.  CHARACTERISTIC OF CYANIDE SOLUTION

                                        Concentration ofType of ion
  Cyanide solution   pH of solution     cyanide in solution     present

                                               ppm

  KCN in deionized
     water               10.0                   97                 CN°
  K3Fe(CN)6 in
  deionized water         8.5                   98              Fe(CN)g


  KCN in landfill
     leachate             7.0                   80              Unknown
     The flow of the solution is regulated to provide approximately one pore
volume of displacement each day.  The displacements were continued until  20
pore-space volumes were collected.  The effluent was collected each day in a
125 ml bottle containing 5 ml of dilute sodium hydroxide.   The sodium hydrox-
ide (cone. 1 Nj is necessary to keep the cyanide that comes through with the
solution from volatilizing.  The solution collected was analyzed for total
cyanide by the Liebig distillation method according to Taras (1971).  See
Figure 30.  The distillation of the sample is required in order to convert
all the complex cyanide in the sample into simple cyanide ions which can be
easily analyzed by the Liebig titration method using silver nitrate and
Rhodanin indicator if the concentration is above 1  ppm.  When the concentra-
tion is below 1 ppm, the Liebig colorimetric method using pyridine-pyrazalene
was used.

     Cyanide degradatip n—One soil and one concentration of cyanide was used
for the study of the degradation of cyanide.  A total of 80, 250 ml
Erlenmeyer flasks, evenly divided between saturated and unsaturated soil
moisture condition were used.  To each flask, 20 g of soil  was added.  The
samples were broken down into four sets, each set contained 20 flasks, ten
for each moisture tension.  Set #1 received 2 g of sucrose.  Set #2 received
2 g of straw.  Set #3 received 2 g of manure and nothing was added to check


                                    109

-------
                                                        S-
                                                        to
                                                        Q.
                                                        QL
                                                        (O


                                                        O
                                                        (/)
                                                        *p—
                                                        -o

                                                        0)
                                                        O
                                                        ro
                                                        a>
110

-------
set #4.  To the unsaturated soil samples enough solution of 1  ppm cyanide was
added to bring the soil moisture level  to 60% of field capacity.   The soil
sample under saturated conditions was completely saturated with the 1 ppm
cyanide solution.  The treated soils were thoroughly mixed to  provide a
homogeneous medium.

     Incubation continued for periods of 1, 2, 3, 5, 10, 15, 20,  30, 45, and
60 days.  After each incubation period was completed, 50 ml of KC1  was added
to each sample and its pH brought to 8 or slightly above.  The samples then
were shaken for a half an hour followed by filtration through  a Buchner
funnel fitted with #40 Whatman paper.  The filtrate for each sample was
collected and analyzed for total cyanide by the modified Liebig method in the
same manner as the samples were analyzed for the movement study.

Results—
     The relative mobility of the three cyanide solutions is best illustrated
in Mohave (Ca) clay loam and Kalkaska sand (Figure 31).  All data are plotted
as pore volume versus C/Cmax, where C/Cmax is the ratio of effluent concen-
tration to influent concentration.  KCN and K3Fe(CN)6 in deionized water
were both found to be very mobile in soils, while KCN in landfill leachate
was the least mobile of the three solutions.

     The effect of soil type on the movement of the three cyanide solutions
is illustrated in Figure 32, showing the amount of KCN in deionized water
that was leached through four soils, Mohave (Ca), Ava, Nicholson, and
Molokai.  The figure indicates KCN leached most rapidly in the soil having
the highest pH and free CaC03 (Mohave (Ca) clay loam).  The negative charges
on the clay surface of Mohave (Ca) tends to repel the CN9, causing it to be
leached out more rapidly than in acid soils.  The CN9 was retained most by
soils having a high concentration of Mn and hydrous oxides of  Fe  (Nicholson
silty clay and Molokai clay).  Korte et al. (1975) found similar  results
working with the anion forms of As, Cr, Se, and V.  This conclusion is fur-
ther supported by data from Berg and Thomas (1959).  They found Cl9, which
is similar to CN° in its adsorption behavior, attenuated in soils having a
high percentage of kaoljn clay and iron and aluminum oxides.  Schofield
(1939) also reports that soils high in these oxides have a high anion
exchange capacity.  Kamprath (1956) found good retention of S0i»2~ by an
acidic soil high in oxides and kaolin,  whereas the 3-layer minerals appeared
to have poor retention for S0i*2~.  The acidic soil (Ava silty  clay loam) in
this study proved, on the contrary, to be a poor attenuator of CN6.  Texture
seems to have little measurable effect on the attenuation of KCN.  Free
iron oxide and CaCOa seem to have a greater influence on the movement of KCN
in water than either soil pH or texture.

     Figure 32 illustrates the movement of K3Fe(CN)6 in deionized water
through four soils (Mohave (Ca) clay loam, Ava silty clay loam, Nicholson
silty clay loam and Kalkaska sandy loam).  The ferricyanide ion also migrated
most rapidly through soils having a high pH and in the presence of free
CaCOs (Mohave (Ca) clay loam) for the same reason as KCN in water.   Ferri -
cyanide moved slowest in soils having a low pH (Ava silty clay loam and
Kalkaska sandy loam).  A low pH would indicate the clay surface to have a
high percentage of positive exchange sites which would attract the Fe(CN)63~

                                     111

-------
             1.0

              .8

              .6

              .4

              .2

          x
          <
          5
         o
         o  1.0

              .8

              .6

              .4

              .2
 Kalkaska  sand
-•	KCN in water
-•	K3Fe(CN)6 in water
-*	KCN in leachate
I	i	i	i	i
     Mohave c. I.
     • KCN  in water
     • KjFetCNlgin water
     • KCN  in leachate
     j	i	i	i
                          4     6    8    10
                           PORE VOLUME
                12
14
Figure 31.  Relative mobility  of  three cyanide solutions (water and
            leachate) through  Kalkaska sand and Mohave (Ca) clay
            loam.
                                 112

-------
                     1.0


                      .8


                      .6


                      .4


                      .2
    KCN in water
•—MohaveCa c.l.
*—Ava si. c.l.
•—Nicholson c:
•— Molokai c.
                                                              j
                            KCN in Leachate
                              -*—Ava
                                   Kalkaska
                              -•—Nicholson
                              -•—Molokai
                                              i      i     i      i
                                              K3Fe(CN)6 in water
                                                     Mohaveca
                                                 •—— Nicholson
                                                     Kalkaska
                                                 *— Ava
                                              i     ii     i
                                   PORE  VOLUME
Figure 32.   Effect of soil type  on  the mobility of  KCN  in water and leachate
             and  KoFe(CN)g in water.
                                       113

-------
ion and retain it.  Texture seems to play a more important role in this case.
The high clay content soil  (Ava silty clay loam) retained more of the Fe(CN63"
than the sandier soil of similar pH (Kalkaska sandy loam).  Although iron-
oxide seemed to have some affinity for Fe(CN)e3", its presence was not as
effective as soil pH in governing the movement of this form of cyanide.

     Figure 32 portrays KCN in landfill leachates migrating through four
soils (Ava silty clay loam, Kalkaska sandy loam, Nicholson silty clay and
Molokai clay).  This solution moved most rapidly through soils with low pH
(Ava silty clay loam and Kalkaska sandy loam).  Cyanide was retained most by
soils having a high concentration of iron-oxide.  Cyanide in leachate seemed
to behave similarly to KCN in deionized water.

     Of the three solutions, KCN in leachate was found to be attenuated the
best.  This can be partly explained by the precipitation of Prussian blue
when KCN was added to the leachate (Robine, Lenglen and LeClere, 1906).  This
blue precipitate was found permeating the top 4 cm of the soil columns.  The
accumulation indicates that Prussian blue may be quite immobile in soils.
The cyanide that came through the soil probably was the CN^ that did not
react with the Fe in solution to form Prussian blue.

     The anaerobic state of the soil columns inhibited any microbial degrada-
tion of cyanide.  Microorganisms responsible for degrading cyanide under
anaerobic conditions are very sensitive to high cyanide concentration.
Coburn (1949) found 2 ppm in the wastestream to be the limit for effective
anaerobic degradation of cyanide.  This concentration is much less than that
passed through the soil columns.  The incubation studies, therefore, were
negative with respect to cyanide degradation, i.e. degradation did not occur
in the water-saturated, anaerobic soil samples.  Nitrate, nitrite, and
ammonium were not found as a result of possible CN" transformation.

Conclusion--            _       Q
     Cyanide as Fe(CN)63~ and CN  in water were found to be very mobile in
soils.  Cyanide as KCN in natural landfill leachate was found to be less
mobile.  Soil properties such as low pH, percent free-iron oxide and kaolin,
chlorite and gibbsite type clay (high positive charges), tended to increase
the mobility of the cyanide forms.  Cyanide could possibly contaminate the
groundwater if proper treatments are not used.  Such treatment would include,
(a) selection of disposal sites where fine textured (clayey) soils predomi-
nate and are high in natural hydrous oxides of iron, (b) arable soils free
from waterlogging, (c) soils that could be treated with organic residue such
as straw to promote rapid conversion of CN" to less harmful oxides of nitro-
gen as N02~, nitrites, and N03~, nitrates.  Obviously inclusion of wastes
possessing strong mineral acids with CN" should never take place.  Acids re-
lease free CN gas to the atmosphere.
                                     114

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                                    120

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                                    121

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                                 APPENDIX A

                SUPPLEMENTARY SOIL CLASSIFICATION INFORMATION


     This appendix contains field descriptions of the soils used in this
study and additional details on soil  classification systems that will  be
helpful in relating this report to other reports on waste disposal, site
selection, and soils research.

     Table Al describes the characteristics, under field conditions, of the
soils used in this study.   Also included are the location and depth from
which the soils were collected and their classification in both the present
(1960, 1968) and the old (1938) USDA soil classification systems.

     There are three systems under which soils are most likely to have been
classified in the United States:  The Unified Soil Classification System, the
old (1938) U.S. Department of Agriculture System, and the present (1960,
1968) U.S. Department of Agriculture System.

     The Unified Soil Classification System (USCS) serves engineering uses of
soils and the criteria for soil types in the system are based on the grain
(particle) size and response to physical manipulation at various water con-
tents.  Major divisions, soil type symbols, and type descriptions are shown
in Table A2.  This is an abbreviated description of the system and does not
include complete information on the use of the manipulation tests (liquid
limit and plasticity index) in the classification.

     The U.S. Department of Agriculture System (USDA) serves agricultural
and other land management uses and the criteria for classification in the
system are based on both chemical and physical properties of the soil.  The
USDA system in general use between 1938 and 1960 was based on soil genesis—
how soils formed or were thought to have formed.  The present USDA compre-
hensive soil classification system is based on quantitatively measurable
properties of soils as they exist in the field.  Although the present USDA
system is incomplete and is being continually refined, it is generally
accepted by U.S. soil scientists and its nomenclature is used in most of
the current literature.  The present USDA system is described in Table A3
and the approximate equivalents in the 1938 USDA system are listed in Table
A4.

     The part of the USDA classification which may be compared most directly
with the soil types in the USCS system is soil texutre (distribution of
grain or particle size) and associated modifiers such as gravelly, mucky,
diatomaceous, and micaceous.  The size ranges for the USDA and the USCS
                                     122

-------
particle designations (e.g. sand, gravel) are listed in Table A5.   Although
a correlation of the USCS and USDA systems is presented in this Appendix, the
two systems are not exactly comparable.  In the USDA system, the soil  texture
designation (e.g. sandy loam, silty clay) is based only on the amounts of
sand-, silt-, and clay-sized particles in the soil.   The diagram used  to make
this textural classification of soils in the USDA system is shown in Figure
Al.  Texture is only one element used in classification of soils in the USDA
system (See Table A3).  In the USCS, the soil type is determined on the basis
of both the amounts of certain sizes of particles in the soil and on the
response of the soil to physical manipulation at various water contents.

     A correlation (U.S. Soil Conservation Service,  1971) of the USCS  and
USDA systems on the basis of texture is presented in Tables A6 and A7.  It
should be emphasized that this correlation is valid  only for USDA soil
texture and USCS soil type.  It would not be feasible to correlate USCS soil
type with other parts of the USDA system because texture is a high level
(major) criterion in the USCS while texture is a low level (minor) criterion
in the USDA system.  A soil of a given texture can be classified into  only a
limited number of the 15 USCS soil types while in the USDA system, soils of
the same texture may be found in many of the 10 Orders and 43 Suborders
because of differences in their chemical properties  or the climatic areas in
which they are located.
                                     123

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Symbol
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GP
GM
GC
SW
SP
SM
SC
ML
CL
OL
MH
CH
OH
Pt
Description
Well graded gravels, gravel -sand
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Poorly graded gravels or gravel -
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Silty gravels, gravel -sand-si It
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Clayey gravels, gravel -sand-clay
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Well graded sands, gravelly sands,
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Poorly graded sands or gravelly
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Silty sands, sand-silt mixtures.
Clayey sands, sand-clay mixtures.
Inorganic silts & very fine sands,
silty or clayey fine sands or
clayey silts with slight plasticity
Inorganic clays of low to medium
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Organic silts and organic silty
clays of low plasticity.
Inorganic silts, micaceous or
diatomaceous fine sandy or silty
soils, elastic silts.
Inorganic clays of high plasticity
fat clays.
Organic clays of medium to high
plasticity, organic silts.
Peat & other highly organic soils.
Notes: ML includes rock flour. The No. 4 sieve opening is
4.76 mm (0.187 in.); The No. 200 sieve opening is
0.074 mm (0.0029 in.)
                                                          128

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      TABLE A4.   ORDERS IN THE PRESENT USDA SOIL CLASSIFICATION SYSTEM AND
                APPROXIMATE EQUIVALENTS IN THE 1938 USDA SYSTEM*
 Present Order**
Approximate Equivalentst
 1.   Entisols

 2.   Vertisols

 3.   Inceptisols


 4.   Aridisols



 5.   Mollisols



 6.   Spodosols


 7.   Alfisols



 8.   Ultisols



 9.   Oxisols

10.   Histosols
Azonal soils, and some Low-Humic Gley soils

Grumusols

Ando, Sol Brim Acide, some Brown Forest, Low-Humic
Gley, and Humic Gley soils

Desert, Reddish Desert, Sierozem, Solonchak, some
Brown and Reddish Brown soils, and associated
Solonetz

Chestnut, Chernozem, Brunizem (Prairie), Rendzinas,
some Brown, Brown Forest, and associated Solonetz
and Humic Gley soils

Podzols, Brown Podzolic soils, and Groundwater
Podzols

Gray-Brown Podzolic, Gray Wooded soils, Non-calcic
Brown soils, Degraded Chernozem, and associated
Planosols and some Half-bog soils

Red-yellow Podzolic soils, Reddish-brown Lateritic
soils of the U.S., and associated Planosols and
Half-bog soils

Laterite soils, Latosols

Bog soils
 *   U.S.  Soil  Conservation Service (1960)

 **  Present (1960,  1968)  USDA comprehensive soil  classification.

 t   Old (1938) USDA soil  classification.
                                     133

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         TABLE A5.   U.S.  DEPARTMENT OF AGRICULTURE  (USDA)  AND  UNIFIED
               SOIL CLASSIFICATION SYSTEM (USCS)  PARTICLE  SIZES


Particle
Cobbles
Gravel
Coarse gravel
Fine gravel
Sand
Very coarse sand
Coarse sand
Medium sand
Fine sand
Very fine sand
_sm
Clay
USDA
Size Range (mm)
76.2-254
2.0-76.2
12.7-76.2
2.0-12.7
0.05-2.0
1.0-2.0
0.5-1.0
0.25-0.5
0.1-0.25
0.05-0.1
0.002-0.05
<0.002
USCS
Particle
Cobbles
Gravel
Coarse gravel
Fine gravel
Sand
Very coarse sand
Coarse sand
Medium sand
Fine sand
Very fine sand
Fines*
(Silt and clay)

Size Range (mm)
>76.2
4.76-76.2
19.1-76.2
4.76-19.1
0.074-4.76

2.0-4.76
0.42-2.0
0.074-0.42

<0.074


*USCS silt and clay designations are determined  by response of the soil  to
 manipulation at various water contents rather than by measurement of size.
                                     134

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                 percent sand
Figure Al.  USDA Soil Textural Classification.
                     135

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        TABLE A6.    CORRESPONDING  USCS  AND  USDA  SOIL  CLASSIFICATIONS

Unified Soil Classification
System (USCS) Soil Types
Corresponding United States Department of
Agriculture (USDA) Soil Textures
 1.   GW

 2.   GP

 3.   GM


 4.   GC


 5.   SW
 6.   SP

 7.   SM


 8.   SC


 9.   ML
10.   CL

11.   OL

12.   MH

13.   CH
14.   OH
15.   PT
Same as GP--gradation of gravel  sizes not a
criteria.
Gravel, very gravelly* sand less than 5% by
weight silt and clay.
Very gravelly* sandy loam, very gravelly* loamy
sand very gravelly* silt loam, and very grav-
elly* loam#.
Very gravelly clay loam, very gravelly sandy
clay loam, very gravelly silty clay loam, very
gravelly silty clay, very gravelly clay#.
Same - gradation of sand size not a criteria.
Coarse to fine sand; gravelly sandA (less than
20% very fine sand).
Loamy sands and sandy loams (with coarse to fine
sand), very fine sand; gravelly loamy sandA and
gravelly sandy loamA.
Sandy clay loams and sandy clays (with coarse to
fine sands); gravelly sandy clay loams and
gravelly sandy claysA.
Silt, silt loam, loam very fine sandy loam$.
Silty clay loam, clay loam, sandy clays with
<50% sand*.
Mucky silt loam, mucky loam, mucky silty clay
loam, mucky clay loam.
Highly micaceous or diatomaceous silts, silt
loams -- highly elastic.
Silty clay and clay$.
Mucky silty clay.
Muck and peats.
 Also includes cobbly, channery,  and shaly.
M
 Also includes all  of textures with gravelly modifiers  where  >l/2 of total
 held on No. 200 sieve is of gravel size.
AGravelly textures  included if less than 1/2 of total held  on No. 200 sieve
 is of gravel size.
Vlso includes all  of these textures with gravelly modifiers  where >l/2 of
 the total soil passes the No. 200 sieve.
                                    136

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        TABLE A7.   CORRESPONDING USDA AND USCS SOIL CLASSIFICATIONS
United States Department of Agriculture
(USDA) Soil Textures
Corresponding Unified Soil Classi-
fication System (USCS) Soil  Types
 1.  Gravel, very gravelly loamy sand
 2.  Sand, coarse sand, fine sand
 3.  Loamy gravel, very gravelly sandy
     loam, very gravelly loam
 4.  Loamy sand, gravelly loamy sand,
     very fine sand
 5.  Gravelly loam, gravelly sandy clay
     loam
 6.  Sandy loam, fine sandy loam, loamy
     very fine sand, gravelly sandy
     loam
 7.  Silt loam, very fine sandy clay loam
 8.  Loam, sandy clay loam
 9.  Silty clay loam, clay loam
10.  Sandy clay, gravelly clay loam,
     gravelly clay
11.  Very gravelly clay loam, very
     gravelly sandy clay loam, very
     gravelly silty clay loam, very
     gravelly silty clay and clay
12.  Silty clay, clay
13.  Muck and peat
       GP, GW, GM
       SP, SW

       GM

       SM

       GM, GC


       SM
       ML
       ML, SC
       CL

       SC, GC
       GC
       CH
       PT
                                    137

-------
                                 APPENDIX B

         ADDITIONAL DATA ON LEACHING OF INDIGENOUS SOIL CONSTITUENTS
                  BY ACID AND STRONGLY OXIDIZING SOLUTIONS
     This data on the solubilization/displacement of indigenous soil  con-
stituents by an acid solution (H?S04 at pH 3.0)  and by a strongly oxidizing
solution of iron and aluminum salts was collected during the work described
on pages 29 through 47 of this report.   This collection of data supplements
the previous discussion of the background levels of constituents that may be
released by soils (natural pollution) and provides a source of raw data for
additional study of this topic.
                                     138

-------
Table Bl.   THE REDOX (Eh) POTENTIAL OF SOME SOILS SATURATED WITH H2S04
           SOLUTION AT pH 3.0, AND FeCl2 AND Aids AT 0.025 M
           CONCENTRATION ADJUSTED TO pH 3.0 WITH HC1
Length of
Saturation
Time
Days
0
1
2
3
4
5
6
7
8
9
10
n
12
13
14
15
16
17
18
19
20
H2S04 at pH 3.0
Fanno
Eh
450
200
150
100
50
35
15
55
55
70











Anthony
Eh
570
540
540
310
350
280
220
145
100
80
60
70
40
40
15
10
10
5
5
5
5
FeCl2 and A1C13
at pH 3.0
Ava
Eh
370
300
320
230
230
230
230
230
230
230
230
230
230
230







                                  139

-------
Table B2.    THE NUMBER OF PORE-SPACE DISPLACEMENTS OCCURRING BEFORE
             EITHER Al OR Fe EFFLUENT CONCENTRATION EQUALED THAT OF THE
             INFLUENT.
Soil Series
Wagram 1 .s.
Ava si .c.l .
Kalkaska s.
Davidson c.
Molokai c.
Chalmers si. c.l .
Nicholson si .c.
Fanno c.
Mohave s.l .
Anthony s.l .
Soil
PH
4.2
4.5
4.7
6.2
6.2
6.6
6.7
7.0
7.3
7.8
Breakthrough First break-
Displacement through for
Al Fe Al or Fe
1.0 0.5 * =
2.4 2.8 ^ =
1.5 1.0 ^ =
4 15 Al
9 26 Al
16 10 Fe
39 9 Fe
10 5 Fe
19 4 Fe
14 4 Fe
Soil columns 20 cm long and 10 cm diameter solidly packed to
   > 1.5 g/cm3.   Soil  pH measured before  solutions  applied  to  the  soils.
                                  140

-------



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-------
Table B12.   SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM ANTHONY SOIL

Pore
Space
Displace-
ments*

1
2
4
5
8
9
10
11
13
15
18
20
25
30
COLUMNS
Al
ppm
1.10
0.51
0.30
0.35
0.16
--
0
—
0
0
0.06
0.14
0.60
0.25
IRRIGATED WITH
Mn
ppm
0.30
0.01
0.06
0.07
O.p6
0.16
0.22
0.24
0.06
0.10
0.23
0.19
0.20
0.31
SULFURIC
Fe
ppm
0.11
0.13
0.12
0.12
0.31
—
0.06
—
0.07
0.06
0.07
0.10
0.58
0.22
ACID SOLUTION
Cu
ppm
0.39
0.11
0.06
0.06
0.07
--
0.11
--
0.08
0.11
0.06
0.01
0.01
0.03
AT A pH
Zn
ppm
0.08
0.07
0.04
0.07
0.11
--
0.01
--
0.13
0.03
0.12
0.03
0.03
0.04
OF 3.0
Cd
ppm
0
0
0
0
0.002
--
0
--
0.005
0
0.002
0.001
0.002
0.001
  Ni,  Co,  Cr  and  Pb were not detected by the atomic absorption flame spectrometric
  method  used.
1.,,


2
  The  number represents  a  consecutive displacement of approximately ha.lf a soil-
  column  pore space  or 300-400 ml of leachate.
                                    150

-------
Table B13.  SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM CHALMERS

Pore
Space
Displace-
ments2
1
2
3
4
5
8
10
13
15
18
20
23
25
27
30
SOIL COLUMNS IRRIGATED WITH
pH VALUE OF 3.0
Al

0.04
0.06
0.09
0.25
0.23
0.20
0.30
0.40
0.17
0.60
0.20
0.30
0.40
0.13
0.11
Mn

0.19
0.17
0.14
0.20
0.25
0.14
0.05
0.16
0.07
0.14
0.14
0.22
0.18
0.15
0.06
Fe

0.13
0.18
0.10
__
0.17
0.14
0.07
0.29
0.10
0.44
0.17
0.18
0.37
0.14
0.14
SULFURIC
Cu
nnm _
ppm --
0.07
—
0.08
0.09
0.11
0.04
0.04
0.05
0.08
0.07
0.14
0.04
0.06
0.01
0.05
ACID SOLUTION AT A
Zn

0.0
--
0.10
0.11
0.10
0.05
0.25
0.05
0.03
0.04
0.11
0.04
0.09
0.22
0.10
Cd

0.010
--
0.003
0.004
0.008
0.010
0.003
0.012
0.009
0.010
0.003
0.008
0.012
0.010
0.010
Ni

0
0
0
0
0
0.02
0
0.02
0
0.02
0.15
0.02
0.02
0
0
 Cd, Co, Cr and Pb were not found

o
 The number refers to consecutive displacements  of approximately  half a  soil-
 column pore space or 300-400 ml  of leachate.
                                      151

-------
Table B14.  SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM DAVIDSON SOIL

Pore
Space
Displace-
ment$2

1
2
3
4
5
8
10
13
15
18
20
25
30
COLUMNS
AT

0.68
0.55
0.82
0.01
0
0
0
0
0
0
--
0.14
0.23
IRRIGATED WITH
Mn

0.62
0.04
0.07
0.07
0.46
0.11
0.12
0.08
0.20
0.24
0.19
0.31
0.35
SULFURIC
Fe

— ppm
0.17
0.11
0.38
0.10
0.05
0.36
0.10
0.06
0.18
0.05
--
0.22
0.16
ACID SOLUTION
Cu

0.22
0.20
0.05
0.06
0.04
0.05
0.09
0.04
0.10
0.03
0.05
0.01
0.08
AT A pH of
Zn

0.12
0.04
0.04
0.08
0.05
0.09
0.01
0.11
0.01
0.10
0.14
0.04
0.07
3.0
Cd

0
0
0
0
0
0
0
0.003
0
0.004
0.002
0.002
0.007
 Ni, Co, Cr and Pb were not detected.
o
 The number refers to a consecutive displacement of approximately half a soil-
 column pore space or 300-400 ml  of leachate.
                                    152

-------
Table B15.  SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM FANNO
            SOIL COLUMNS IRRIGATED WITH SULFURIC ACID SOLUTION ATT"
            pH OF 3.0
Pore
Space
Displace-
ments^


1
4
7
10
13
16
19
22
25
30
Al


0
0
0
0
0
0
0
0
0
0
Mn


0.43
0
0
0.11
0.08
0.12
0.18
0.34
0.28
0.20
Fe

	 ppm 	
0
0
0
0
0.15
0.07
0.12
0
0
0
Cu


0.09
0.03
0
0
0
0
0
0
0
0
Zn


0.014
0
0
0
0
0
0
0
0
0
 Cr, Co, Ni, Cd and Pb were not detected.   Leachates were not concentrated;
 therefore, sensitivity factor entered into the  lack of  detection of the
 element.
2
 The number refers to consecutive displacements  of approximately half a soil
 column pore space or 300-400 ml  of leachate.
                                    153

-------
Table B16.  SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM  KALKASKA
            SOIL COLUMNS  IRRIGATED WITH SULFURIC ACID AT A oH OF~!7d
Pore
Space
Displace-
ments^

1
2
3
5
8
10
13
15
20
23
25
27
30
Al

0.84
1.58
1.77
1.80
2.88
0.03
3.64
4.66
4.50
4.82
4.70
4.70
5.02
Mn

0.09
0.07
0.09
0.16
0.11
0.15
0.11
0.16
0.15
0.12
0.12
0.12
0.16
Fe

	 ppm--
0.55
1.83
2.15
7.05
6.3
9.60
15.00
11.30
21.5
23.10
22.50
24.5
23.4
Cu

0.02
0.02
0.02
0.02
0.12
0.13
0.08
0.07
0.08
0.08
0.09
0.08
0.06
Zn

0.08
0.25
0.05
0.07
0.08
0.25
0.08
0.14
1.30
0.83
0.15
0.95
0.09
Cd

0
0
0
0
0.12
0.006
0.009
0.005
0.011
0.011
0.005
0.011
0.005
 Nickel was found in pore space displacement  5.0  and  8.0 at  levels of 0.034  and
 0.025 ppm, respectively.  Cr,  Pb and Co  were not detected by  the atomic
 absorption flame spectrometric procedure used.
o
 The number refers to a consecutive displacement  of approximately half  a  soil-
 column pore space or 300-400 ml  of leachate.
                                    154

-------
 Table  B17.  SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM MOHAVE
             SOIL COLUMNS IRRIGATED WITH SULFURIC ACID SOLUTION AT A pH
             OF 3.0
Pore
Space
Displace-
ments 2

1
2
3
4
5
10
13
15
18
19
20
21
22
25
27
30
Al

1.70
0.86
--
0
0.74
0.23
0
0.37
0
--
0
--
0
0
0
0.25
Mn

0.23
0.03
0.05
--
0.07
0.32
0.90
0.90
1.70
1.70
1.30
1.70
1.80
0.90
1.80
1.60
Fe

-ppm 	
0.13
0.12
0.10
0.03
0.21
0.05
0.02
0.04
0.02
0.08
1.20
0.1
0.02
0
0.03
0.31
Cu

0.33
0.22
0.06
0.05
0.25
0.05
0.07
0.05
0.05
--
0.11
—
0.07
0.10
0.09
0.02
Zn

0.05
0.04
0.05
—
0.03
0.05
--
0.06
--
--
0.02
—
--
0.01
—
0.02
 Cd, Co, Cr, Ni  and Pb were not detected by the Atomic Absorption  Spectro-
 photonic Method used.
2
 The numbers refer to a consecutive displacement of approximately  half  a
 soil-column pore space or 300-400 ml  of leachate.
                                  155

-------
TABLE B18.  SOME TRACE METAL* CHARACTERISTICS OF LEACHATE FROM MOLOKAI  SOIL
            COLUMNS IRRIGATED WITH SULFURIC ACID SOLUTION AT A pH VALUE OF 3.0

Pore
Space
Displace-
ments**

1
2
3
4
5
8
10
13
15
20
23
25
28


Al

0.64
0.27
0.16
0.12
0.23
0.24
0.24
—
0.17
0.12
--
—
--


Mn

2.30
0.22
0.48
0.24
0.33
0.52
0.68
—
0.92
1.20
--
--
--


Fe

	 ppm -
0.15
0.12
0.22
0.25
0.30
0.48
0.25
0.3
0.13
0.10
0.36
0.30
0.60


Cu

0.06
0.06
0.07
0.12
0.08
0.09
0.09
0.07
0.11
0.08
0.19
0.12
0.09


Zri

0.11
0.10
0.05
0.14
0.13
0.04
0.05
0.06
0.10
0.05
0.16
0.19
0.09


Cd

0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01

 Nickel was found in the first 0.5 and 1.0 pore space displacements at 0.11
 and 0.07 ppm, respectively.  Cobalt was found only in the 0.5 displacement
 at a level of 0.03 ppm, and Cr and Pb were not detected.

**
  The number refers to consecutive displacements of approximately half a
  soil-column pore space or 300-400 ml of leachate.
                                     156

-------
Table B19.  SOME TRACE METAL1  CHARACTERISTICS  OF  LEACHATE  FROM  NICHOLSON
            SOIL COLUMNS  IRRIGATED WITH  SULFURIC  ACID  SOLUTION  AT A  pH
            VALUE OF  3.0
Pore
Space
Displace-
ments'

1
4
7
10
13
16
19
22
25
28
Al

0
0
0
0
0
0
0
0
0
0
Mn

0
0
0
0
0.11
0.10
0.26
0.24
0.32
0.15
Fe
r^nm
0
0
0
0
0
0
0
0
0
0
Cu

0
0
0
0
0
0
0
0
0
0
Zn

0.21
0.10
0.10
0.10
0
0.03
0
0
0
0
 Al,  Mn,  Zn, Cr,  Co,  Cu,  Ni,  Cd,  and  Pb were  not  detected.  Leachates were not
 concentrated;  therefore,  sensitivity factor  entered  into the lack of
 detection of the element.
p
 The  number refers to consecutive displacements of  approximately half a soil-
 column pore space or 300-400 ml  of leachate.
                                     157

-------
Table B20.  SOME TRACE METAL1 CHARACTERISTICS OF LEACHATE FROM WAGRAM SOIL

Pore
Space
Displace-
ments2
1
2
3
4
5
8
9
10
13
15
18
20
23
25
27
30
COLUMNS IRRIGATED
Al

0.30
0.25
0.50
0.17
0.11
0.10

0.22
0.10
0.22
0.17
0.17
0.30
0.35
0.60
1.16
Mn

0.42
0.32
0.07
0.25
0.31
0.43

0.50
0.60
0.58
0.66
0.56
0.66
0.54
0.62
0.54
WITH SULFURIC ACID SOLUTION AT A pH VALUE OF 3.0
Fe

0.20
0.17
0.13
0.41
0.30
0.60

1.90
2.40
2.10
4.3
3.1
5.7
4.2
7.4
6.9
Cu

0.02
0.04
0.03
0.08
0.05
0.10

0.12
0.07
0.06
0.05
0.07
0.06
0.07
0.07
0.07
Sn
•
0.03
0.05
0.08
0.10
0.09
0.12

0.19
0.05
0.12
0.06
0.01
0.04
0.06
0.28
0.06
Cd

0.002
0.001
0.003
0.005
0.010
0.00

0.007
0.004
0.004
0.007
0.011
0.007
0:011
0.008
0.004
Ml

0
0
0
0
0.03
0.04

0.03
0.04
0.06
0.04
0.04

0.04
0.09
0.05
 Cr, CO,Pb were not detected

 The number refers to consecutive displacements  of  approximately  half  a  soil-column
 pore space or 300-400 ml  of leachate.
                                       158

-------
TABLE B21.  SOME CHEMICAL CHARACTERISTICS OF SOIL COLUMN  SECTIONS  AFTER
            LEACHING WITH SULFURIC ACID SOLUTION  AT pH 3.0 FOR PORE-SPACE
            DISPLACEMENTS

Sampl e
Depth
from the
Top
cm


0-5
5-10
10-15
15-20

0-5
5-10
10-15
15-20

0-5
5-10
10-15
15-20

0-1 h
Us-3

0-1*2
Ua-3

0-5
5-10
10-15
15-20
PH



7.0
7.0
7.1
7.1

4.6
4.9
5.0
4.9

3.8
4.3
4.7
5.1

6.3
6.3

5.6
5.6

6.1
6.5
6.5
6.5
Elec.
Con-
duct-
ivity
ymhos
/cm

240
215
191
191

139
110
91
105

263
196
120
120

127
110

789
55





Saturated Soil
Paste
Extract
Anions
Cations
K




20
36
44
44

8
10
7.6
7.6

14
12
12
17

8.4
8.2

3.2
2.8

2.0
1.4
1.0
1.4
Na




4.8
5.2
3.1
3.7

7.4
5.6
5.0
5.6

11.2
14.4
7.7
7.1

4.3
4.3

5.2
5.8

1.2
1.0
2.8
2.2
Ca Mg



Molokai
18 1.0
14 0.6
11 1.0
11 0.6
Kalkaska
4 0.4
6 1.0
7 0.6
7 0
Wag ram
4 0.4
5 0.4
4 0.6
6 0
Fan no
9 4.0
11 4.0
Nicholson
8 0.9
3 0.6
Chalmers
12 5
15 5
13 4
12 4
Si




4
3
3
3

4
3
3
3

2
2
3
3

8
8

14
5

11
5
5
5
Cl

•ppm-


0
0
0
0






0
0
0
0

0
0

0
0

0
0
0
0
so4




63
33
39
24

42
39
28
31

82
52
42
35

18
16

18
18

__
—
--
--
N
(N03)




0
0
0
0

0
0
0
0

0
0
0
0

0.6
0.6

0
0

1.0
0
0
0
Trace Metals
Fe Al




2.5 0.06
3.9 0.35
1.0 0.03
1.5 0.66

0.27 0.03
1.7 0.40
1.0 0.30
0.35 0.20

0.21 0.03
0.18 0.70
0.40 0.10
0.44 0.03

0 0
0.15 0

0 0
0 0

0.01 --
0 —
0 --
0.1 0.16
Mn




1.10
1.00
1.00
1.10

0.14
0.2
0.13
0.13

0.23
0.25
0.44
0.60

0.02
0.01

0.02
0.01

0.01
0
0
0.01
                                    159

-------


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CO 00
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0
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o
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161

-------
TABLE B24.  SOME TRACE METAL CHARACTERISTICS  OF  LEACHATES  FROM  DAVIDSON  SOIL
            COLUMNS IRRIGATED WITH 0.025M A1C13  SOLUTIONS  AT A  pH  VALUE  OF  3.0

Pore
Space
Displace-
ments
r-jcn mi \
\jj\j in i j
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
40


Al


0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
.5
2.8
3.8
0.5
20
40
58
65
100
160
210
230
255
310
345
470
510
510
530
530
530


Fe


0.6
0.16
0.32
0.4
0.3
0.4
0.85
1.3
1.7
1.3
2.3
2.4
4.8
30
120
250
460
730
950
1080
1400
1500
1650
1550
1700
1900
1900
1800
1800
1650
1650
1600
1500
1550
1500
1500
1500
1500
1400
1400


Cd


.02
.03
.03
.03
.03
.03
.025
.03
.03
.025
.025
.025
.025
.025
.025
.025
.03
.03
.03
.03
.03
.03
.03
.03
.03
.04
.04
.06
.06
.07
.08
.09
.08
.08
.03
.05
.06
.06
.07
.05


Co


0.15
0.15
0.15
0.15
0.15
0.15
0.18
0.18
0.18
0.18
0.18
0.18
0.38
0.78
1.35
2.15
2.75
3.5
3.7
3.5
3.5
3.8
3.3
3.0
2.7
2.7
2.6
2.6
2.4
2.2
2.0
1.8
1.6
1.3
__
1.1
1.0
0.9
0.75
0.65


Cr


.05
.05
.03
.05
T
T
T
T
.06
.06
.06
.06
.05
.05
.15
.03
.09
.09
.09
.09
.07
.07
.07
.07
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0


Cu

•ppm 	
.2
.15
.15
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0


Mn


1
3
8
9
11
13
17
21
26
29
60
102
155
265
330
350
375
375
325
325
300
275
275
260
250
220
210
180
150
130
105
100
75
65
--
45
35
35
25
20


Ni


0.05
0.05
0.12
0.16
0.16
0.16
0.2
0.2
0.2
0.2
0.2
0.2
0.4
0.8
1.6
6
3.4
3.4
3,4
3.4
3.4
3 ,,4
3.4
3.2
3.6
3.4
3.45
2.7
2.6
2.3
2.3
2.1
1.9
1.9
1.9
1.9
1.0
0.9
0.9
0.8


Pb


.24
.24
.3
.16
.2
.16
.16
.2
.16
.35
.3
.16
.16
.18
.20
.25
.2
.16
.16
.2
.16
.16
.1
T
T
T
0
0
0
0
0
0
0
0
0
0
0
0
0
0


Zn


.2
.15
.15
.2
.16
__
.15
.15
.15
.1
.1
.06
.06
.18
.22
.3
.45
.5
.65
.75
.75
.75
.75
.75
.82
.9
.9
.9
.9
.8
.8
.75
.65
.55
.75
.5
.4
.5
.3
.25

                                    162

-------
TABLE B25.  SOME TRACE METAL CHARACTERISTICS OF LEACHATES FROM DAVIDSON  SOIL
            COLUMNS IRRIGATED WITH 0.025M A1CK and FeCl? SOLUTIONS  AT A pH
            VALUE OF 3.0.

Pore
Space
Displace-
ments
yjcn trTl }
\ O JU Mil J
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
25
26
27
28
29
30
32
34
35
36
37
38
39
41
42
43

Al


0
0
23
--
300
420
530
610
645
680
680
750
725
750
800
860
840
840
840
840
840
825
775
775
750
800
750
775
775
750
750
750
725
725
700
725
680
645
645

Fe


0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
23
100
190
295
420
500
600
640
650
870
900
900
900
970
970
1080
1080
1100
1060
1060











.2
.2
.2
.2
.2
.2
.2
.2
.3
.3
.3
.4





















Cd


.10
0
0
.08
.15
.16
.15
.08
.24
.16
.16
.16
.16
.15
.24
.24
.24
.32
.54
.66
.74
.70
.80
.94
.92
.78
.70
.70
.68
.54
.60
.66
.60
.68
.58
.50
.52
.48
.44

Co


0.1
1.0
0.7
1.8
3.6
4.7
5.5
7.3
7.3
8.3
8.5
8.5
9.8
9.8
11.0
10.5
10.5
11.0
11.0
10.0
9.0
8.5
7.5
6.5
6.0
5.0
4.5
4.5
4.2
4.4
4.0
3.7
3.6
3.1
2.8
2.6
2.2
2.2
1.9

Cr

— \j\i\\\-
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.18
0.4
0.7
1.1
1.3
1.4
1.5
1.6
1.9
2.0
2.3
2.2
2.3
2.3
2.4
2.5
2.5
2.7
2.8
2.8

Cu


.10
0
0
.08
.15
.15
.15
.08
.24
.16
.16
.16
.16
.15
.24
.24
.24
.32
.54
.66
.74
.70
.80
.94
.92
.78
.70
.70
.68
.54
.60
.66
.6
.68
.58
.5
.52
.48
.44

Mn


8
66
400
500
887
880
887
900
950
900
900
900
900
890
875
825
775
750
675
650
575
500
460
435
410
390
345
330
30
295
270
240
230
220
215
205
160
145
145

Ni


0
.1
.4
.7
.7
.5
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4
.4

Pb


0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

Zn


.10
.10
.18
.34
.36
.40
.42
.60
.62
.56
.58
.56
.54
.50
.44
.48
.44
.40
.40
.44
.48
.50
.50
.42
.48
.42
.40
.38
.38
.38
.38
.40
.40
.40
.58
.56
.32
.32
.36
                                    163

-------
TABLE B26.  SOME TRACE METAL CHARACTERISTICS  OF  LEACHATES  FROM AVA  SOIL
            COLUMNS IRRIGATED WITH 0.025M Aid.  and  FeCl?  SOLUTIONS AT A
            VALUE OF 3.0.                      J          *
                                                                      pH

Pore
Space
Displace-
ments*


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

Al


0
0
0.6
0.7
1.0
3.0
14.0
42
83
145
166
184
217
230
356
306
390
420
420
410
510
510
550
550
550

Fe


2.1
15.6
52
200
420
740
840
900
920
920
1060
1160
1100
1100
1280
1260
1220
1240
1240
1400
1460
1510
1460
1460
1320

Cd


.04
.03
.03
.03
.04
.04
.04
.03
.03
.04
.03
.03
.04
.04
.04
.04
.04
.04
.04
.04
.03
.03
.03
.04
.03

Co


.1
.1
.2
.4
.5
.6
.5
.5
.5
.5
.4
.4
.4
.4
.3
.3
.3
.3
1.2
.2
.2
.2
.2
'.2
.2

Mn

-ppm-' 	
2
7
16
25
40
40
31
28
23
21
20
19
16
16
20
15
15
16
15
15
14
14
13
13
12

Ni


.16
.18
.22
.32
.46
.52
.58
.54
.52
.52
.46
.46
.46
.46
.46
.40
.40
.40
.40
.40
.40
.40
.40
.40
.40

Pb


0
.2
.4
.3
.3
.3
.4
.3
.4
.2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

Zn


.14
.12
.20
.30
.54
.52
.56
.58
.56
.52
.53
.48
.42
.40
.34
.34
.34
.30
.30
.30
.30
.26
.24
.24
.22
The number represents a consecutive  displacement  of  approximately  half  a
soil-column pore space or 300 to 400 ml  of leachate.

Chromium and copper were not detected.
                                   164

-------
Table B27   SOME TRACE METAL CHARACTERISTICS OF LEACHATES  FROM  KALKASKA  SOIL
            COLUMNS IRRIGATED WITH 0.025M AlClo AND FeC17  SOLUTIONS AT A pH
            VALUE OF 3.0                                c
Pore
Space
Displace-
ments*

1
2
3
4
5
6
7
8
9
10
Al

425
540
620
620
590
605
610
610
610
610
Fe

830
1140
1270
1340
1300
1540
1420
1440
1480
1410
Cd

0.10
0.10
0.07
0.06
0.03
0.03
0.03
0.03
0.03
0.03
Co

ppm
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
Mn

6.0
5.3
4.3
3.8
3.8
3.6
3.3
3.3
3.3
3.3
N1

0.8
0.8
0.8
0.7
0.4
0.4
0.4
0.4
0.4
0.4
Zn

3.3
2.2
1.4
0.9
0.7
0.5
0.4
0.3
0.2
0.2
* The number represents a consecutive displacement of approximately half a soil-
  column pore space or 300 to 400 ml. of leachate.
  Chromium, copper, and lead were not detected.
                                       165

-------
TABLE B28.  SOME TRACE METAL  CHARACTERISTICS  OF  LEACHATES  FROM MOHAVE SOIL
            COLUMNS IRRIGATED WITH 0.025M Aid,  and  FeCl?  SOLUTIONS AT A pH
            VALUE OF 3.0.                      J          *

Pore
Space
Displacements*

1
2
3
4
5
6
7
8
9
10
11
12
13
15
16
17
19
21
22
24
26
27
28
30
31

Al

0
0
0
0
3
32
115
200
250
292
356
365
425
475
500
525
475
475
500
500
530
575
570
575
610

Fe

0.7
0.2
1.5
120
1000
1000
1200
1300
1300
1300
1520
1550
1550
1520
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500


Cd

0.04
0.03
0.03
0.03
0.04
0.03
0.03
0.04
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03

Co

	 PF
0.1
0.1
0.2
1.1
2.1
2.2
2.2
2.0
1.8
1.6
1.5
1.3
1.1
0.9
0.8
0.8
0.7
0.6
0.5
0.5
0.4
0.3
0.3
0.3
0.3

Mn

0.2
3
45
175
225
210
190
165
125
115
100
80
70
50
38
30
25
21
17
11
6.5
5.3
4.8
4.8
4.3

Ni

0.1
0.1
0.1
0.5
1.0
1.3
1.3
1.3
1.1
1.1
1.0
0.8
0.8
0.7
0.7
0.6
0.5
0.5
0.5
0.5
0.4
0.3
0.3
0.3
0.3

Pb

0.1
0.3
0.3
0.4
0.3
0.4
0.5
0.6
0.7
0.7
0.5
0.6
0.5
0.5
0.4
0.4
0.4
0.4
0.4
0.4
0.4
0.3
0.2
0
0

Zn

0.06
0.07
0.06
0.12
0.18
0.17
0.22
0.19
0.16
0.19
0.20
0.16
0.16
0.17
0.11
0.14
0.10
0.10
0.09
0.08
0.08
0.09
0.13
0.07
0.07
  The number represents a consecutive displacement of approximately half a
  soil-column pore space or 300 to 400 ml  of leachate.

  Chromium and copper were not detected.
                                     166

-------
 TABLE B29.   SOME  TRACE METAL  CHARACTERISTICS OF LEACHATES FROM MOLOKAI SOIL
             COLUMNS IRRIGATED WITH  0.025M A1C1, and Fed. SOLUTIONS AT A pH
             VALUE OF 3.0.

Pore
Space
Displace-
ment*

1
2
3
4
5
6
7
9
10
11
12
13
14
15
16
17
20
22
23
24
25
27
28
29

Al

0
0
0
0
0
0
7
140
240
375
400
460
515
530
530
575
680
680
700
775
775
725
740
775

Fe

0
5
0
0.5
0.3
0.2
0.1
0.8
—
0.7
0.3
0.6
0.7
0.7
0.4
0.3
0.2
0.9
8.5
31
75
120
220
240

Cd

0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.
0.



03
03
05
06
07
75
18
40
66
64
62
55
50
46
46
42
38
38
36
38
38
37
38
37

Co

0.04
0.06
0.08
0.19
0.32
0.70
2.00
10.8
16.1
17.7
18.9
18.9
20.5
22.0
22.0
22.6
24.8
25.3
26.4
26.4
26.4
26.4
23.1
23.1

Cr

0.2
0.2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.28
0.66
0.58
i

Cu

0.12
0.12
0.12
0.10
0
0
0
0
0.26
0.36
0.44
0.50
0.58
0.62
0.64
0.72
0.90
1.76
2.44
3.10
3.42
4.16
5.90
6.60
frnntim

Mn

2
2
14
54
270
860
1220
1320
1400
1100
1050
1020
1010
1020
1030
1000
960
980
900
885
860
795
810
790
iorl nn r

Ni

0.1
0.2
0.3
0.4
0.5
1.4
7.4
25
34
32
32
29
28
28
28
29
29
28
28
29
29
29
34
33
i -\7C\\

In

0
0
0
0
0
0
2
9
13
11
12
10
11
10
11
10
10
11
10
9
9
8
8
8



.2
.1
.1
.1
.1
.3
.4












.2
.2
.8
.9
.8
*The number represents  a  consecutive displacement of approximately half a soil
 column pore space  or 300 to  400 ml of  leachate.
 Lead was  not detected  in these effluents.
                                     167

-------
TABLE B29 (continued)
Pore
Space
Displace-
ments*

30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53

Al

725
725
680
725
665
700
665
665
665
680
680
680
680
665
625
645
645
625
645
625
625
625
625
645

Fe

270
320
375
445
470
515
555
630
710
800
940
970
970
940
940
950
1000
1050
1050
1050
1060
1060
1060
1060

Cd

0.34
0.30
0.31
0.28
0.27
0.26
0.24
0.18
0.16
0.16
0.13
0.11
0.11
0.11
0.07
0.06
0.07
0.06
0.06
0.07
0.06
0.06
0.05
0.05

Co

23.1
22.0
22.0
22.0
20.0
18.2
16.1
20.5
13.8
11.0
8.8
8.8
8.8
8.3
8.3
9.6
8.4
7.8
7.8
7.8
6.0
6.0
4.8
4.8

Cr

0.66
0.68
0.84
1.04
1.10
1.10
1.20
1.20
1.40
1.50
1.6
1.8
1.8
1.7
1.6
1.65
1.7
1.7
1.7
1.7
1.6
1.7
1.8
1.7

Cu

ppm 	
6.6
7.3
7.7
8.4
8.1
7.9
7.7
7.7
6.6
5.9
6.2
4.7
5.7
5.7
5.5
5.8
5.2
5.1
5.4
4.7
3.8
3.4
3.8
4.0

Mn

735
675
605
590
550
500
495
455
400
310
295
300
280
270
270
270
265
250
250
245
210
200
190
180

Ni

32
29
29
29
28
28
25
24
19
17
15
15
15
15
15
14
13
13
14
13
12
11
10
9

Zn

8.6
8.6
8.6
8.4
7.9
8.1
7.5
6.4
5.3
5.0
4.8
4.6
4.2
4.4
4.4
3.8
3.4
3.6
3.6
2.7
2.5
2.5
2.5
2.7

*
 The number represents a consecutive displacement of approximately half a soil
column pore space or 300 to 400 ml  of leachate.

 Lead was not detected in these effluents.
                                     168

-------
TABLE B30.  SOME TRACE METAL CHARACTERISTICS OF LEACHATES FROM NICHOLSON  SOIL
            COLUMNS IRRIGATED WITH 0.025M A1C1- and FeCl? SOLUTIONS  AT  A  pH
            VALUE OF 3.0

Pore
Space
Displace-
ments*

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


Al

0
0
0
2
3
8
10
16
44
125
120
160
160
242
318
318
365
412
445
464
464
480
516
516
516


Fe

0.2
0.2
12
104
136
230
300
340
500
780
830
830
1000
1200
1380
1360
1340
1320
1380
1340
1380
1380
1360
1380
1380


Cd

0.02
0.04
0.05
0.05
0.08
0.05
0.05
0.04
0.04
0.04
0.05
0.05
0.05
0.05
0.05
0.05
0.04
0.04
0.04
0.03
0.04
0.04
0.04
0.05
0.04


Co

0.1
0.1
0.8
1.9
2.1
2.3
3.6
4.3
4.7
4.4
3.9
3.6
2.8
2.2
2.0
1.8
1.8
1.4
1.3
1.3
1.3
1.3
1.2
1.1
1.1


Mn

4
7
43
71
82
95
128
137
148
122
114
102
85
85
62
66
60
48
48
48
50
45
40
38
38


Ni

0.28
0.34
0.68
1.04
1.06
1.16
1.42
1.70
1.76
1.74
1.56
1.52
1.24
1.24
1.00
0.90
0.90
0.75
0.70
0.74
0.74
0.70
0.74
0.68
0.68


Pb

0
0
0.5
0.5
0.4
0.4
0.3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0


Zn

0.28
0.25
0.42
0.65
0.70
0.90
1.05
1.40
1.48
1.50
1.56
1.36
1.16
1.16
0.94
0.86
0.86
0.75
0.65
0.65
0.70
0.70
0.60
0.55
0.55

*The number represents a consecutive displacement of approximately  half a  soil
 column pore space or 300 to 400 ml  of leachate.
 Copper and chromium were not detected.


                                     169

-------
TABLE B31.   SOME TRACE METAL CHARACTERISTICS  OF  LEACHATES  FROM  WAGRAM  SOIL
            COLUMNS IRRIGATED WITH 0.025M A1CU  and  FeCl9  SOLUTIONS AT A  pH
            VALUE OF 3.0.                      J          c

Pore
Space
Displace-
ments*

1
2
3
4
5
6
7
8
9
10


Al

480
604
604
604
635
635
635
635
635
635


Fe

1010
1160
1160
1160
1400
1540
1580
1520
1540
1540


Cd

0.07
0.05
0.04
0.03
0.03
0.03
0.03
0.03
0.03
0.03


Co

0.30
0.30
0.30
0.15
0.15
0.15
0.15
0.15
0.15
0.15


Cu

— ppm —
0.20
0.08
0
0
0
0
0
0
0
0


Mn

17.5
10.0
4.2
4.0
4.0
3.6
3.6
3.6
3.6
3.6


Ni

1.1
0.6
0.5
0.2
0.2
0.2
0.2
0.2
0.2
0.2


Pb

0.5
0.3
0.2
0
0
0
0
0
0
0


Zn

0.6
0.3
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2

*                                 •
 The number represents a consecutive  displacement  of approximately  half  a
 soil-column pore space or 300 to 400 ml  of leachate.

 Chromium was not detected in the effluent.
                                     170

-------
                                 APPENDIX C

                ADDITIONAL DATA ON THE RETENTION AND MOVEMENT
                     OF SELECTED METALS IN SEVERAL SOILS
     The data in Figures Cl, C2, and C3 on retention of selected metals from
municipal landfill leachate by Davidson clay were collected by sectioning the
soil columns at the completion of a leaching study and extracting the soil
with 0.1 M^ HC1 as described on page 24 and pages 67 to 73.   The municipal
landfill leachate used in the leaching study was spiked with single elements
as described on page 15.

     Figures C4 through C7 show the relative concentrations (concentration  in
soil column effluent/input concentration) of selected metals in several
soils after varying periods of leaching with spiked municipal  landfill
leachate.

     Table Cl contains the results of some preliminary study of the effect  of
solution flow rate on attenuation.  In this study, flow rate was adjusted by
manipulating the hydraulic head and by packing one soil column to a slighty
higher density.  A more extensive examination of the effect of flow rate
(pages 87 and 88) was conducted later when peristaltic pumps were available
for more closely controlling the rate at which solutions were applied to the
soil columns.
                                     171

-------
                           As
      10
Figure Cl.
                                              10
      Soil  Depths - cm
Migration profile of As,  Be,  and Cd in  Davidson  clay
after passing through 13,  20, and 20 pore  volume dis-
placements  of leachate,  respectively.
                               172

-------
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Q.
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   100

    80
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I  4°

M  20

     0
                          Se
                          Zn
                   345678

                     Soil  Depth  -  cm
                                             10
Figure C3.   Migration  profile of Se  and  Zn  in  Davidson  clay
            after passing  through 17 and 19 pore  volume dis-
            placements of  leachate,  respectively.
                             174

-------


o
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                 Fanno  c.
            12  displacements
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           9 displacements
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            16 displacements
           Anthony s.l.
          20 displacements
   Ava s.c.l.
      12 displacements
   Davidson c.
13 displacements
       As  Be   Cd   Cr   Cu   Pb   Se   Zn      As  Be  Cd  Cr   Cu  Pb  Se  Zn

                                  TRACE METALS

Figure C4.  Migration of trace metals through different soils after a
            given number of pore volume displacements as shown by the
            ratio of effluent metal concentration to influent metal
            concentration  (C/C0').
                                 175

-------
         i.o-

          .8

          .6

          .4

          .2

           0
          Mohave  (Ca)  c.l.
         20  p.v. displacements
      o
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 .8

 .6

 .4
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1.0

.8

.6

.4
Figure C5.
                    Nicholson si.c.1.
                  20 p.v. displacements
                       Wagram 1.s.
                           11 p.v. displacements
      As   Bd  Cd   Cr  Cu   Pb   Se   Zn
             Trace Metals

   Migration of trace  metals  through  different
   soils  after a  given number of  pore volume  dis-
   placements (PVU)  as related to effluent  metal
   concentration/influent  metal concentration
   (C/CQ).
                             176

-------
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ia
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O
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18

16

14

12

10

 8

 6

 4

 2




16

14




10

 8

 6

 4
                 Arsenic
         123689
               Cadmium
     1.
     2.
     3.
         Wagram l.s.
         Ava  si.c.l.
         Kalkaska  s.
           123489
                                                          Chromium
4.
5.
6.
                                SOILS

                                Davidson c.
                                Nicholson si.c.l
                                Fanno c.
7.  Mohave s.l.
8.  Mohave (Ca) c.l
9.  Anthony s.l.
     Figure C6.  The movement of As, Be, Cd, and Cr in landfill leachate through
                 various soils as related to pore space displacements to achieve
                 C/CQ = 0.80, 0.25, 0.25, and 0.35, respectively.
                                      177

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6
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         Copper
                Selenium
                   8   9
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                                         1   2
    1.  Wagram 1.s.
    2.  Ava si.c.l.
    3.  Kalkaska s.
4.
5.
6.
         14

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SOILS
Davidson c.
Nicholson si .c.l.
Fanno c.
               Zinc
7.  Mohave s.l.
8.  Mohave (Ca)  c.l,
9.  Anthony s.l.
Figure C7.  The movement of Cu, Pb, Se, and Zn in landfill leachate through
            various  soils as related to pore space displacements to achieve
            C/CQ = 0.08, 0.32, 0.02, and 0.09, respectively
                                   178

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                                 APPENDIX D

BEHAVIOR OF NATURAL MUNICIPAL SOLID WASTE LANDFILL LEACHATES IN 11  DIFFERENT
                                   SOILS


     This appendix represents an extension of the research concerned with
natural municipal solid-waste landfill leachates as discussed under the head-
ing, "Preliminary Leaching for Background Evaluation of Solubility of Soil
Contaminants," beginning on page 28.  It reports results of research under-
taken on a U.S. EPA Grant, R-803988-1, relating to migration of constituents
of municipal solid waste leachates through soils as influenced by limestone
liners.

     The objectives of the research reported here are to:  (a) show charac-
teristics of three strictly municipal  solid-waste landfill leachates as
influenced by age and characteristics  of landfill environment, (b)  evaluate
the effects of passing natural municipal leachates through representative
soils of the U.S. on the retention and release of constituents of the leach-
ate as well as soil, (c) relate probable attenuation of natural leachate con-
stituents to specific soil parameters, and (d) study the effect of soil and
leachate temperature on retention of natural  leachate constituents  by soil.

Characteristics of Municipal Solid Haste Landfill Leachates

     The mass of information on characteristics of municipal solid  waste
landfill leachates clearly establishes that the composition varies  widely
from location to location, Garland and Mosher (1975)*.  Since our research
efforts had centered around only one source of municipal leachate,  we thought
it best to establish other sources and to study further an actual city source.
Because of its microbiological nature, the landfill system is dynamic and
therefore always subject to change depending on the specific conditions of
the solid waste environment, regardless of slight changes in the nature of
the municipal solid waste that generates the leachate.  This is illustrated
by data appearing in Tables Dl, D2 and D3.  The solid waste used to generate
leachates I and II (Dl, D2) was the same (see Table 6, p. 17, main  text) and
is considered to be nationally representative.  Because of the difference in
construction material of the landfill  confinement units (one of concrete and
the other of steel), and the tendency for breakdown of the epoxy sealer on
the inside of the concrete, leachates  I and II are different in composition.
Leachate I in the  concrete generator has a higher pH value (pH 6.4 vs. 5.4),
less salts, lower TOC, and lower concentrations of heavy metals than
 Garland, G.A. and D.C. Mosher.  1975.  Leachate effects from improper land
 disposal.  Waste Age 6:42-48.

                                     180

-------
leachate II in the more confined steel tank.  Reaction between the acid
generated in the solution and the concrete walls through small fissures in
the epoxy, and the opportunity for some exchange of gases through the con-
crete walls, are believed to be primarily responsible for these differences.
For the most part, leachate II was used for the liner research.


     One of the most prominent characteristics of the leachate constituents
is their general decline in concentration with time.  Small  amounts of heavy
metals were present in the leachate early in the age of the  landfill but
disappeared in the soluble phase again.  The total organic carbon (TOC) also
declined rapidly with time.  Elements such as P, Si, and Mn  remain relatively
constant throughout the first few years.  On the other hand, the leachate
from an old city dump (Table D3)where infiltration loss and  contact with the
soil occurred contained low levels of a wide variety of heavy metals.  It is
not clear whether these metals originate from the soil or the solid waste or
both since the leachate was withdrawn from an established well, made through
the solid waste refuse to within 6-10 inches of the disposal site bottom.

Retention of Leachate Constituents by Soils

     To evaluate soil as a medium for retention of critical  constituents of
municipal landfill leachates, studies were undertaken using  columns of soils
perfused with natural or unspiked leachates.  The 11 soils and leachate II
are the same as reported earlier in the text as are the methods of experi-
mentation.  Specific characteristics of the 11 soils in the  columns, such as
pore volume, total surface, and porosity, are reported in Table 1 on page 9.

     Our attention with natural leachate II was centered on  the fate of
soluble iron and total organic carbon (TOC) when passed through soil, since
these consitutents have been shown to be significantly correlated with heavy
metal attenuation, and since soluble iron is one of the significant contami-
nation problems from strictly municipal landfills.  Iron was found to be
retained by the soil to an extent far greater than organic carbon, Table D5.
Breakthrough concentrations of Fe (C/C0 = 0.7 and 0.9) were  reached at ^ 1
to 23 and 5 to 25 pore volume displacements, respectively.  TOC reached
breakthrough concentrations during the first or second pore  volume displace-
ment.  The soil, thus, has little or no influence in preventing soluble
organic carbon compounds from migrating.  This can pose a serious threat to
underground water quality, both with respect to migration of organic and
chelated inorganic constituents and to odor and taste.  Even the small
amounts of TOC retained by the soil  were flushed out in the  first increment
of water used to evaluate retention of constituents against  simulated leach-
ing by rainfall action.  Iron, on the other hand, resisted flushing or leach-
ing by water, i.e., it remained associated with the soil once it was attenu-
ated, except for the small amount chelated, Table D5 and Figure 1.

     The importance of particle size distribution (sand, silt, clay) on Fe
attenuation is illustrated in Table D6.  The smaller the particle size the
greater the amount of Fe retained per unit weight of 'soil.  Yet the very
sandy soils, Wagram loamy sand and Kalkaska sand, retained more Fe per unit
of surface area than other soils except Molokai clay.  Davidson and Molokai

                                     181

-------
clays are most highly endowed with hydrous oxides of Fe.   More and more
evidence is accumulating to support the contention that the soil hydroxy
oxides of Fe are a potent factor in attenuation of metals (including soluble
Fe).

Iron Attenuation as a Function of Soil  Parameters

     To better understand those soil  parameters most likely to relate to metal
or Fe attenuation of natural  municipal  leachates, single  and multiple variable
regression analyses were undertaken using the Fe migration data through 11
soils, Table 07.  Clay appears most prominent as the soil attenuation factor
both in single and cross products regression analyses.

     Correlations between Fe  attenuation and total soil content of other
metals, Co, Cr, Free FeO, Mn, Ni, and Zn were also evident, Table D7.  Ex-
changeable cations appeared as a strong soil interaction  constituent in the
multiple variable  regression analysis.  This is not surprising since ex-
changeable cations are closely related  to and indeed are  a part of the soluble
salt or "ION" factor of leachates that  relate to attenuation.

     Caution must be exercised when the statistical data  obtained are used  as
a basis for projections or assumptions  about attenuation.  First of all, the
reliability of any given statistic from this experiment is minimal since only
eleven runs were made.  Secondly, it must be kept in mind that the regression
analysis can be applied only  to the attenuation of iron with the leachate as
given.  Although certain of the variables considered might have a similar re-
lation to the attenuation of  other metals, under other  leachate conditions,
this cannot always be assumed to be the case.  Thirdly, the correlation coef-
ficients and r2 values cannot be interpreted strictly on  the basis of magni-
tude.  This is because of the complex interaction and possible masking effects
of one component of the soil-leachate system on another.   For example, the
effect of an  important exchangeable cation in the soil might be either
masked or accentuated by a mass action  effect determined  by the leachate
composition.

     For example, the correlation of percentage total  Zn  in the soil has a
value of 0.90 with attenuation.  This is higher than that of clay (0.80 or
FeO (0.71).  But percentage Zn also has a correlation of  0.59 with clay and
0.84 with FeO.  Similar results occur for Mn, Co, Ni, and Cr.  All have a
high correlation with attenuation, but are also highly  correlated to clay and
FeO content.  In contrast, Cu has a correlation of only 0.30 with attenua-
tion, 0.12 with clay, and 0.42 with FeO.  It would therefore seem to be
incorrect to assume that Zn and Cr are more important factors than clay with
respect to attenuation, even  though the resulting correlations are higher.
The values for exchangeable Zn, Cr, etc., are included  in the figures used
for total element.  Since the amount of exchangeable Zn,  etc., will be partly
determined by the clay and FeO content, it is probable  that the high correla-
tions obtained are due to a similar dependence on clay content and not to any
direct effect on attenuation.  In a similar way, the low correlations ob-
tained for some of the exchangeable cations, particularly Ca, may be mislead-
ing because of a mass action  effect due to the extremely strong leachate that
was used.  The same type of complications occur when the  correlations of the

                                     182

-------
 cross-product  terms are  analyzed.

     In a multiple variable regression equation, the cross-product terms
would represent some type of interaction or interdependence between two vari-
ables.  Only those cross-product terms with a correlation above 0.75 were
considered.  When these cross products are considered as variables, a few of
the single variables are seen to occur more frequently as components of cross-
product terms, which have correlations higher than any of the single vari-
ables:  clay occurs eight times, exchangeable cations eight times, and FeO
ten times and electrical conductivity eight times.  Silt occurs only three
times.  The occurrence of a given variable in several cross products with
variables that appear only sporadically would seem to indicate that that var-
iable is a common factor in describing the data.  Note again the relation of
clay with Mn, Co, Zn,  Ni, and Cr.  These metals all had a high correlation
when taken individually, and they all have a high correlation when taken with
the common variable clay.  Note also that Cu, which only had a correlation of
0.30 by itself, appears in the cross product clay*Cu, which has a correlation
of 0.76.  It can again be seen that clay is the determining factor.  Since
the exchange capacity is directly related to clay content, it is probable
that the appearance of exchangeable cations in significant cross-product
relations reflects to a great degree the influence of clay content.  FeO
occurs in ten important cross products and must also be considered as an
important variable since it is not determined by the amount of clay present.
Silt, occurring three times, is a factor of minor, though significant im-
portance.  Electrical  conductivity must also be considered since it occurs in
eight significant cross products.  Considering the prominence of clay, FeO,
silt, Exch. capacity,  and electrical conductivity in cross products, it is
not surprising that these factors were also prominent in the best regression
equations, e.g.

          cn(clay*EC)  + a2(clay*silt) + a3(clay*Exch. Capacity) + K

               with r2 = .990

          Yi(FeO*Exch. capacity) + Y2(E.C.) + K3

               with r2 = .910

Significant Observations

     Correlation of individual metals to Fe attenuation is greater than that
of the total, e.g., Zn, Mg, Mn, etc. vs. total metal content, or Exch. Na,
Exch. Ca, etc. vs. Exchange Capacity.

     Correlation of cross products (variable interactions) was often signifi-
cantly higher than for the single variables, e.g. clay (.80), E.C. (.67)
vs. clay*EC (.87).

     Even though the individual metals improved the regression equation and
showed a higher correlation when used individually, a better regression
equation was obtained using more easily measured parameters (such as clay,
EC, Exch. Capacity).
                                     183

-------
     The best equation using individual  metal  contents in the soils is as
follows:

          cti(Exch. cations* Ni) + a2(clay* Cu) +  a3(Mn) + kx
               with r2 = .987
                   adjusted r2 = .982

                   F = 184 (significant  above  99.9% level)

          3i(clay*E.C.) + g2(clay* silt) + 33(clay* Exch. Capacity) + k2
               giving an r2 = .990
                   adjusted r2 = .986

                   F = 228 (significant  above  99.9% level)

.'. it appears that even though the more easily measured, general  parameters
show a lower individual correlation than specific metals or exchangeable
cations in the soil, when they are combined in a regression equation they are
just as effective in predicting Fe attenuation.

     In conclusion, clay and FeO are the most  important soil  constituents for
iron attenuation.  Since they are not variables in the leachate makeup, they
should also be highly significant under  other  conditions; and since they are
also the source of exchange sites, this  should hold true for other metals.
The effects of the exchange complex are  not as simple.  High correlation can
be seen in a number of cross products which contain MEQ (meq/mg soil) as a
variable.  But the amount of this correlation  which is merely a manifestation
of the effect of clay  content cannot be determined by these data.  More exper-
iments are needed in which the total strength  and chemical makeup  of the
leachate are evaluated as variables instead of constants, before these deter-
minations can be made.

Influence of Soil and Leachate Temperature on  Pollutant Attenuation

     Leachate I (2/1/74 to 4/1/74) was passed  through columns of the 11 dif-
ferent soils at two temperature levels 15 and  30 C using the same  technique
as described in this test earlier.  Migration  data appear in Tables D8 to D18
and D19 to D29.

     During the first 15 pore volume displacements, the concentration of
salts in the effluent from the soil columns was lower than that in the influ-
ent landfill leachate.  These lower levels of  elements, however, were not suf-
ficient to offset all  of those added from the  landfill leachate and leave a
balance attributable to the soil itself  as expected from values of the deion-
ized water alone.  Acid soils (such as Ava si.c.l. and Kalkaska s.) retained
the more common soluble soil ions (such  as Ca, Mg, K, Na) more readily than
near neutral and slightly alkaline soils.  Wagram l.s. is an exception, since
its mineral composition is primarily quartz.  Zinc, Fe, Cu, Mn, and certain
other heavy metal attenuation is highly  correlated with the abundance of clay
in the soils.  Iron was strongly retained by the two soils highest in "free
iron", namely, Davidson c. and Molokai c.  Nickel, on the other hand, was

                                      184

-------
solubilized and mobilized from Molokai c. at both the 30- and 15-C Teachings
by landfill leachate reactions.   Similarly, Cu appeared in the effluent from
Ava si.c.l. and Anthony s.l. columns.  Cobalt was found in measurable amounts
in Molokai c., Mohave (Ca) c.l. (30C), and Davidson c. (15C).  Other examples
of soil contribution to specific metals in effluents from soils leached with
natural municipal leachate may be cited from data appearing in Tables 8-29,
although Co does not appear in appreciable quantities from deionized water
Teachings.  Quantity variation in column effluent characteristics, also, is  a
function of soil composition more than influent leachate variations.  pH of
the soil does not seem to appear prominently as a soil variable influencing
trace metal mobility, however.  For example, Ava and Anthony have pH values
of 4.5 and 7.8, respectively, yet both soils have Cu identified in their
column effluent.  No doubt, indigenous mineral characteristics of the individ-
ual soil play an important role in determining what element will  become more
mobile upon infiltration with natural municipal leachate.

     Migration rate under anaerobic soil conditions did not appear tempera-
ture dependent between 15 and 30 C.  Reactions between the aqueous leachate
constituents and the soil, therefore, would appear to occur rapidly under the
conditions of pore volume displacement at a rate of 0.5 PVD/day.   The re-
search contradicted our earlier anticipation that either chemical or biologi-
cal activity or both may be influenced somewhat by temperature.  This re-
search, at least, failed to confirm our early suspicions despite  careful
attention to the maintenance of the soil columns' temperature to  ± 1 C of
that designated.
                                     185

-------
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                                                            189

-------
TABLE D3.  SOME CHEMICAL CHARACTERISTICS OF LEACHATES FROM A
           MUNICIPAL SOLID WASTE LANDFILL, TUCSON, ARIZONA:
           RUTHAUFF ROAD LANDFILL III.

Element

Cd
Ni
Fe
Cr
Cu
Zn
Pb
Mn
Mg
Ca
Na
K
pH
EC-mmhos/cm
Salts
TOC
Sample A
ppm
0.02
0.08
8
0.1
0.2
0.3
0.5
34
85
730
193
41
6.2
1.9
1210
250
Sample B
ppm
0.02
0.08
9
0.1
0.2
0.2
0.5
32
85
730
193
40
6.2
1.9
1220
250

 Sampled by L.G. Wilson, 10/1/76.
                               190

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-------
TABLE D6.  ATTENUATION OF IRON IN NATURAL MUNICIPAL LANDFILL LEACHATE PASSED
           THROUGH 11 SOILS AS RELATED TO UNIT WEIGHT AND SURFACE AREA.

Soil
Wagram 1 .s.
Ava si .c.l .
Kalkaska s.
Davidson c.
Molokai c.
Chalmers si. c.l .
Nicholson si .c.
Fanno c.
Mohave s.l .
Mohave (Ca) c.l.
Anthony s.l .

Total mg
251
680
289
922
1671
889
1024
899
470
1061
383
Fe Attenuated*
mg per g soil
0.555
1.874
0.726
2.597
4.803
2.428
2.868
2.450
1.090
2.962
0.859

2
yg per m
surface area
69
30
82
51
71
19
24
20
28
21
43

 mg Fe attenuated = mg Fe added - mg Fe in leachate effluent - mg Fe in one
 pore volume of influent.
                                    193

-------
TABLE D7.  SINGLE VARIABLE REGRESSION ANALYSIS OF IRON ATTENUATION AS A
           FUNCTION OF SOIL PARAMETERS WHEN NATURAL MUNICIPAL SOLID WASTE
           LANDFILL LEACHATE WAS PASSED THROUGH 11  SOILS AND SUMMARY OF
           SIGNIFICANT CROSS PRODUCT TERMS RESULTING FROM REGRESSION ANALYSIS
           OF THE INTERACTION OF THE VARIABLES

Single Variable Regression
Analysis
Variable
Clay, %
Silt, %
FeO,%
Exch.Cations,meq/100g
Elec. Cond. ,mmho/cm
Mn, %
Co, %
Zn, %
Ni, %
Cu, I
Cr, %
Exch. Na, meq/100 g
Exch. K, meq/100 g
Exch. Ca, meq/100 g
Exch. Mg, meq/100 g
% Exch. Na
% Exch. K
% Exch. Ca
% Exch. Mg
H ion cone.
Correlation ^
Coefficient r
.80
.34
.71
.47
.67
.71
.79
.90
.83
.30
.84
.27
.40
.41
.60
-.44
-.30
.15
.44
.48
.64
.12
.50
.22
.44
.51
.63
.82
.69
.09
.70
.08
.16
.17
.36'
.20
.09
.02
.19
.23
Regression Analysis of Variable
Interactions
Correlation ?
Cross Products Coefficient r
Exch. Cations* Ni
Exch. Cations* Co
Exch. Mg*FeO
Clay* Zn
Exch. Cations* Cr
pH* Zn
Clay* Ni
Exch. Cations * FeO
Clay * EC
Silt * Cr
Exch. Cations * Zn
Exch. Cations* (Mn+Co+Zn
+Ni+Cu+Cr)
Exch. Mg * EC
% Exch. Mg * Clay
Silt * Ni
Exch. Cations * EC
pH * Cr
pH * Ni


.93
.93
.92
.92
.91
.91
.88
.88
.87
.87
.87
.87
.87
.87
.86
.85
.85
.85


.86
.86
.85
.85
.83
.83
.77
.77
.76
.76
.76
.76
.76
.76
.74
.72
.72
.72



 Indicates possible cross products in a regression equation and possible
 interactions.  Over 119 such cross products were tested.  Only those cross
 products that provided an improved correlation are reported.  Cross pro-
 ducts with a correlation below 0.85 were not reported.
**T_he leachate II composition used for calculation of above data:
pH    EC    TC     TOC     Ca    Mg    Na     K   Cd   CO   Fe   Mn  Ni   Zn
5.4   8.8  7225   7007    621   116   320    641 .05  .46  753  9.8 .40.  7.6
                                    194

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                                 APPENDIX  E

                PUBLICATIONS FROM RESEARCH CONTRACT 68-03-0208
Alesii, B.A. and W.H.  Fuller.  1976.   The mobility of three cyanide forms in
     soils.  In:  Residual Management by Land Disposal.   Proceedings of the
     Hazardous Waste Research Symposium at the University of Arizona, Febru-
     ary 2-4, 1976.   EPA-600/9-76-015, July 1976.   U.S.  EPA Municipal Envir-
     onmental Research Laboratory, Cincinnati, OH. 45268. 280 p.

Fuller, W.H.  1977.   Movement of Selected Metals,  Asbestos, and Cyanide in
     Soil:  Applications to Waste Disposal Problems.  EPA-600/2-77-020, U.S.
     EPA Municipal Environmental Research Laboratory, Cincinnati, OH 45268.
     257 p.

Fuller, Wallace H. and Nic Korte.  1975.  Attenuation mechanisms  of pollut-
     ants through soils.  Im  Gas and Leachate from Landfills:  Formation,
     Collection, and Treatment.  Proceedings of a  Symposium at Rutgers
     University, March 25 and 26, 1975.   EPA-600/9-76-004, March  1976.  U.S.
     EPA Municipal Environmental Research Laboratory, Cincinnati, OH 45268.
     196 p.

Fuller, Wallace H. and Thomas C. Tucker.  1975.  Land Utilization and Dis-
     posal of Organic Wastes in Arid Regions.  In:  Soils for Management and
     Utilization of Organic Waste and Wastewater.   L.F.  Elliott and F.J.
     Stevenson (co-eds.).  Soil Sci.  Soc. Am.  1977.  Madison, WI 53706.
     pp. 274-289.

Fuller, W.H., Colleen McCarthy, B.A.  Alesii, and Elvia Niebla.  1976.  Liners
     for disposal sites to retard migration of pollutants.  JJK  Residual
     Management by Land Disposal.  Proceedings of  the Hazardous Waste
     Research Symposium at the University of Arizona, February 2-4, 1976.
     EPA-600/9-76-015, July 1976.  U.S.  EPA Municipal Environmental Research
     Laboratory, Cincinnati, Ohio 45268.  280 p.

Fuller, W.H., N.E. Korte, E.E. Niebla, and B.A. Alesii.   1976.  Contribution
     of the soil to the migration of certain common and  trace elements.
     Soil Sci. 122(4):223-235.

Korte, N.E., E.E. Niebla, W.H. Fuller.  1976.  The use of carbon  dioxide to
     sample and preserve natural leachates.  J. Water Pollu. Control Fed.,
     48(5):959-961.
                                     217

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Korte, N.E.,  J.M. Skopp, E.E.  Niebla, and W.H.  Fuller.   1975.   A baseline
      study on trace metal  elution from diverse soil  types.   Water, Air, Soil
      Pollut.5:149-156.

Korte, N.E.,  J.  Skopp, W.H.  Fuller, E.E. Niebla,  and  B.A. Alesii.   1976.
      Trace element movement in soils:   Influence of  soil physical  and
      chemical properties.   Soil  Sci. 121(6):350-359.

Korte, N.E.,  W.H. Fuller, E.E. Niebla,  J. Skopp,  and  B.A. Alesii.   1976.
      Trace element migration  in  soils:  Desorption of  attenuated ions and
      efflects of solution flux.   In:  Residual Management by Land Disposal.
      Proceedings of the Hazardous Waste Research Symposium at the University
      of Arizona, February 2-4, 1976.  EPA-600/9-76-015, July 1976.  U.S. EPA
      Municipal  Environmental  Research  Laboratory, Cincinnati, Ohio 45268.
      280 p.

Marion, G.M.,  D.M. Hendricks,  G.R. Dutt, and W.H. Fuller.  1976.  Aluminum
      and silica solubility in soils.  Soil  Sci.  121(2):76-85.

Niebla, E.E.,  Nic Korte, B.A.  Alesii, and W.H.  Fuller.   1976.   Effect of
      municipal  landfill leachate on mercury movement through soils.  Water,
      Air, and Soil Pollut.  3:399-401.

Skopp, J. and A.W. Warrick.   1974.  A two-phase model for the miscible dis-
      placement of reactive solutes in  soils.   Soil Sci. Soc.  Am.  Proc.  38:
      545-550.
                                     218

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                                   TECHNICAL REPORT DATA
                           (Please read Instructions on the reverse before completing)
1  REPORT NO.
  EPA-600/2-78-158
                                                           3. RECIPIENT'S ACCESSI ON-NO.
4. TITLE AND SUBTITLE
  INVESTIGATION OF LANDFILL  LEACHATE POLLUTANT
  ATTENUATION BY SOILS
                                                          5. REPORT DATE
                                                             August 1978 (Issuing Date)
                                6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)

  Wallace H. Fuller
                                                          8. PERFORMING ORGANIZATION REPORT NO.
9 PERFORMING ORGANIZATION NAME AND ADDRESS

  Department of Soils, Water,  and Engineering
  University of Arizona
  Tucson, Arizona   85721
                                                           10. PROGRAM ELEMENT NO.
                                  1DC618
                                11. CONTRACT/GRANT NO.
                                  68-03-0208
12. SPONSORING AGENCY NAME AND ADDRESS
  Municipal Environmental Research Laboratory--Cin.,OH
  Office of Research and Development
  U.S.  Environmental Protection  Agency
  Cincinnati, Ohio   45268
                                13. TYPE OF REPORT AND PERIOD COVERED
                                 Final Report 12/72 to 7/75
                                14. SPONSORING AGENCY CODE
                                  EPA/600/14
15. SUPPLEMENTARY NOTES
  Project Officer: Mike H. Roulier (513) 684-7871
16. ABSTRACT
       In this laboratory study  using 11  soils from 7 major orders  in the U.S., the
  movement and retention of As,  Be,  Cd,  CN, Cr, Cu, Hg, Ni, Pb,  Se,  V, and Zn when
  carried by municipal solid waste (MSW)  leachate through  soils  was  influenced by the
  individual properties of the elements,  by the permeability  of  the  soil, and by the
  amounts of clay, lime, and hydrous iron oxides present in the  soil.  The movement
  of iron was also studied; its  movement and retention in  soil were  related most
  strongly to the content of clay and hydrous iron oxides.  Amounts  of elements retain-
  ed by soils against subsequent extraction with water and 0.1 N^ HC1  suggest a substan-
  tial  permanent retention capacity  for  soils.  Total Organic Carbon (TOC) and Chemical
  Oxygen Demand (COD) in MSW leachate were only slightly retained by soils.  Due to
  materials displaced from the soils, the COD of effluents from  the  soils was initially
  30 to 50 times greater than the COD of the applied MSW leachate.   Water removed
  essentially all of the TOC retained by the soils during  contact with leachate.
       A simulation model for predicting solute concentration changes during leachate
  flow  through soils was developed and partially validated using data from the project.
       A literature review was conducted during the first  phase  of  the project and has
  been  published as Movement of  Selected Metals, Asbestos, and Cyanide in Soils: Appli-
  cation to Waste Disposal Problems  (EPA-600/2-77-020, April  1977;  NTIS PB266905/AS).
17.
                               KEY WORDS AND DOCUMENT ANALYSIS
                  DESCRIPTORS
                                             b.lDENTIFIERS/OPEN ENDED TERMS
                                              c. COS AT I Field/Group
  *Hazardous Materials
  transport Properties
  *Soil  Chemistry
  Attenuation
  Contaminants
  Arsenic
  Beryllium
  Cadmium
Copper
Chromium
Iron
Lead (Metal)
Mercury (Metal)
Selenium
Zinc
Industrial Wastes
Pollutant Migration
Groundwater Pollution
Municipal Solid Waste
Leachate
13B
18. DISTRIBUTION STATEMENT
   RELEASE TO PUBLIC
                                              19. SECURITY CLASS (ThisReport)
                                               UNCLASSIFIED
                                              21. NO. OF PAGES
                                                  239
                   20. SECURITY CLASS (Thispage)
                     UNCLASSIFIED
                                                                        22. PRICE
EPA Form 2220-1 (9-73)
                                            219
                                                    U. S. GOVERNMENT PRINTING OFFICE: 1978-757-140/1431 Region No. 5-11

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