WSRC-TR-2000-00262

Recommended Partition Coefficient (Kd) Values for Nuclide Partitioning
in the Presence of Cellulose Degradation Products

S. M. Serkiz
Westinghouse Savannah River Company
Aiken, SC 20908

This document was prepared in conjunction with work accomplished under Contract No. DE-AC09-96SR18500 with the U.S. Department of Energy.

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Executive Summary

Degradation products of cellulosic materials (e.g., paper and wood products) can significantly influence the subsurface transport of metals and radionuclides. Co-disposal of radionuclides with cellulosic materials in the E-Area slit trenches at the SRS is, therefore, expected to influence nuclide fate and transport in the subsurface.

Initial modeling of this system was undertaken in 1996 and utilized published stability constants for reactions between low molecular weight acids (i.e., citric acid and EDTA) and numerous radionuclides. In this approach, the physicochemical properties of these simple organic acids were intended to approximate effects of cellulose degradation products (CDP) on nuclide sorption. Notable differences in the allowable radionuclide inventory of the E-Area Slit Trench were predicted when the presence of CDP was accounted for in this conceptual model (Serkiz and Myers, 1996).

A series of laboratory studies were initiated in April 1998 to validate and/or update the modeling assumptions employed in the 1996 modeling effort. In these studies, laboratory results were generated for ternary systems containing divalent and trivalent radionuclides (uranium (VI) or europium (III)), organic matter (Suwannee River dissolved organic matter or laboratory generated CDP), and a soil phase (SRS Burial Ground soil or Aiken kaolinite) (Serkiz et al., 1998 and Serkiz et al., 1999). Laboratory data on the influence of CDP on metal/nuclide cation sorption show that these organic compounds can significantly reduce sorption, both directly and indirectly. Directly through complexation of metals in the aqueous phase, thus, inhibiting sorption and indirectly by reducing the system pH that, in turn, results in a more positively charged soil surface also inhibiting cation sorption. The direct effects of organic matter at more neutral pH values is several orders of magnitude reduction under conditions of high organic matter content. At low pH values, Kd values are similar regardless of organic matter content. Kd variability due to pH, at constant organic carbon content, is as high as about two orders of magnitude. The degree of this pH effect decreases with increasing organic matter content. Furthermore, these studies showed that dissolved organic matter production from cellulosic source materials was a very dynamic process with concentrations over 1 g per liter of organic carbon and pH values below 4.5 observed in laboratory static leaching tests.

Keywords: Radionuclide Speciation and Transport, Cellulose Degradation, Dissolved Organic Matter,
Europium, Uranium, E-Area Vaults, Performance Assessment

Introduction

This report documents the data analysis of the results of the above described laboratory studies in order to recommend Kd values for use in Performance Assessment modeling of nuclide transport in the presence of CDP.

Because generating laboratory data on the influence of CDP on the mobility of the 29 elements included in the E-Area Vaults PA modeling effort would be cost and time prohibitive, an indexing approach based on chemical analogues was adopted for cationic species. The index approach taken in this work is largely empirical and should be validated with additional studies both in the field and laboratory.

The highest DOC concentrations are expected in the vicinity of the actual waste. These concentrations, and the resulting effect on Kd values, will decrease with distance from the waste. This effect should be investigated, both in the field and with modeling studies.

Methods

In recommending CDP influenced Kd values for use in PA modeling, both the primary (interactions of CDP with both the soil surface and the dissolved metal/nuclide) and secondary (reactions involving CDP that impact major-ion chemistry (e.g., pH)) influences of the CDP on metal/nuclide sorption were considered. The general conceptual model is:

The general approach to generating CDP-influenced Kd values was to:

  1. Separate the transport model into five distinct regimes based on dissolved organic carbon content (1000 to 100 mg C/L, 100 to 30 mg C/L, 30 to 10 mg C/L, 10 to 1 mg C/L, and less than 1 mg C/L).
  2. The pH of each of the regimes was estimated based on the relationship between organic carbon content and pH obtained in laboratory CDP generation studies. For purposes of conservatism, these pH estimates are based on the highest carbon content in the model regime.
  3. The PA for the E-Area Disposal Trenches evaluated inventories for isotopes of 29 elements. Because generating laboratory data on the influence of CDP on the mobility of 29 radionuclides would be cost and time prohibitive, a number of simplifications and assumptions were imposed. These were:
    1. Anionic and monovalent cationic species generally exhibit a very weak affinity for natural organic matter and, therefore, to CDP. Sorption of nuclides that are primarily anionic or monovalent cationic were considered to be unaffected by the presence of CDP.
    2. In the two cases where laboratory data were generated for the ternary system of multivalent cation (UO22+ and Eu3+), organic matter (Suwannee River DOM and CDP), and SRS soil materials (kaolinite and SRS Burial Ground Soil), Kd values were estimated directly from these data. To facilitate this data analysis, mathematical models were fitted to laboratory sorption data (both for UO22+ and Eu3+) for the soil/metal/organic matter system. Based on this relationship between pH and Kd for a given organic carbon content, CDP-influenced Kd values were then calculated for each model regime (see Item 1) based on total organic matter content and pH.
    3. For those multivalent cations that were not investigated in the laboratory, it was assumed that the influence of CDP on Kd values observed for UO22+ and Eu3+ could be used to index the behavior of other divalent and trivalent metals/nuclides. In order to calculate CDP influenced Kd values for nuclides that were not examined in the laboratory, the percentage reduction in Kd for UO22+ and Eu3+ laboratory data were applied to the Kd values used in the E-Area Slit Trench PA (McDowell-Boyer et al., 2000) for each model regime in Item 1. In all laboratory experiments involving CDP and UO22+ and Eu3+, the presence of CDP, primarily due to the associated reduction in pH, resulted in lower Kd values.
    4. The effects of pH on monovalent cation sorption in the absence of organic matter are smaller than for multivalent cations. To account for these Kd variations in the PA model, an indexing approach similar to that described in Section c. for the multivalent cations was also applied to monovalent cations. The only difference was that the organic matter only had an indirect influence of lowing the system pH. These pH effects were estimated from the small Kd reductions observed for lower pH regimes observed for Cs sorption to SRS soil in Johnson (1995).
    5. For anionic species, Kd values generally increase with decreasing pH and, therefore, ignoring the affect of reduction in pH associated with CDP production is expected to be a conservative assumption. This was the assumption employed for anionic species in developing these recommended Kd values.

Curve Fitting

This section describes the curve fitting activities employed on laboratory data for the ternary system of organic matter/SRS soil material/nuclide.

Laboratory data for the sorption of divalent uranyl (UO22+) and trivalent europium (Eu3+) to SRS soils or soil components in the presence of both naturally occurring dissolved organic matter and laboratory generated CDP formed the basis for evaluating the direct affect of CDP on divalent/trivalent cation sorption. In order to facilitate Kd calculations, a three-parameter logistic function was fitted to the experimental data in the form of pH versus fraction metal/radionuclide sorbed. To minimize model-fitting biases, data sets were truncated to pH values of less than 6.0 prior to model fitting. The mathematical form of the three-parameter logistic function is:

Where: FS is the fraction metal/nuclide sorbed to the soil; a is the y asymptote and is a fitting parameter with a limit set to less than 1; pH0 is the pH at the inflection point of the curve and is a fitting parameter; and b is a fitting parameter that relates to the steepness of the rise of the curve. The general shape of the curve is a sigmoid whose fraction of metal/nuclide sorbed ranges between zero and one and, for the cation sorption data analyzed, starts low at low-pH values and increases at higher values.

Kd is related to the FS by:

Where S/L is the solid to liquid ratio under which the data were generated.

Results

This section describes the results of the general approach to estimate CDP-influenced Kd values described above.

Organic Carbon Content/pH Relationship

In a previous laboratory study, actual cellulose degradation products were generated in the laboratory from materials known to be present in slit trenches at SRS (Serkiz et al., 1999). As expected, the pH of the cellulose leachate slowly decreased with time (Figure 1) from 5.2 at the start to 4.4 after 19 weeks. This is consistent with the production of carboxylic acid and hydroxyl functional groups from wood degradation processes. After an initial large production of dissolved organic carbon (DOC) in the first week, the DOC of the samples steadily increased from 545 mg C/L at week 1, to 1018 mg C/L at week 19 (Figure 1). The slope of the total organic carbon (TOC) data as a function of time (i.e., organic carbon production rate) decreases as the experiment progresses.

Based on these experimental data and soil-pH for the soil used in the laboratory sorption study (Johnson, 1995), a relationship between organic carbon content and pH was developed to facilitate further Kd calculations. This relationship is summarized in Table 1.

Curve Fitting

Laboratory data for the ternary system containing the trivalent lanthanide europium, organic matter (Suwannee River DOM and CDP), and SRS soil are contained in Serkiz et al. (1998) and Serkiz et al. (1999). Data at 0, 10, 30, 100, and 500 mg C/L were fitted to the three-parameter logistic function as described above. The curve fitting data are summarized in Tables 2 through 6 for 0, 10, 30, 100, and 500 mg C/L laboratory data respectively. Graphical representations of the laboratory data and model fits are shown in Figures 2 through 6 for the 0, 10, 30, 100, and 500 mg C/L laboratory data respectively.

 

Table 2 – Curve Fitting Summary Eu Sorption to SRS Soil No Added Organic Matter
(Fitted to Data in Figure 2)

Eu Sorption Experiments

3 Parameter Logistic Fit

[DOM] =

0 mgC/L

a =

0.995

Solid

SRS Soil

b =

-12.107

S/L (g/mL)

0.0238

pH0 =

2.810

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.9913

4765

4.75

0.9928

5832

5.00

0.9936

6568

5.25

0.9941

7028

5.50

0.9943

7301

5.75

0.9944

7460

6.00

0.9945

7554

 

Table 3 – Curve Fitting Summary Eu Sorption to SRS Soil 10 mg C/L Suwannee River
Organic Matter (Fitted to Data in Figure 3)

Eu Sorption Experiments

3 Parameter Logistic Fit

[DOM] =

10 mgC/L

a =

1.000

Solid

SRS Soil

b =

-7.247

S/L (g/mL)

0.0238

pH0 =

3.279

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.9084

416

4.75

0.9362

616

5.00

0.9551

894

5.25

0.9681

1273

5.50

0.9770

1783

5.75

0.9832

2460

6.00

0.9876

3349

 

Table 4 – Curve Fitting Summary Eu Sorption to SRS Soil 30 mg C/L Suwannee River
Organic Matter (Fitted to Data in Figure 4)

Eu Sorption Experiments

3 Parameter Logistic Fit

[DOM] =

30 mgC/L

a =

0.835

Solid

SRS Soil

b =

-11.992

S/L (g/mL)

0.0238

pH0 =

3.090

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.8260

199

4.75

0.8303

206

5.00

0.8325

209

5.25

0.8337

211

5.50

0.8343

211

5.75

0.8346

212

6.00

0.8348

212

 

Table 5 – Curve Fitting Summary Eu Sorption to SRS Soil 100 mg C/L Suwannee River
Organic Matter (Fitted to Data in Figure 5)

Eu Sorption Experiments

3 Parameter Logistic Fit

[DOM] =

100 mgC/L

a =

0.702

Solid

SRS Soil

b =

5.346

S/L (g/mL)

0.0238

pH0 =

7.084

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.6447

76

4.75

0.6277

71

5.00

0.6074

65

5.25

0.5840

59

5.50

0.5576

53

5.75

0.5285

47

6.00

0.4971

42

 

Table 6 – Curve Fitting Summary Eu Sorption to SRS Soil 500 mg C/L Suwannee River
Organic Matter (Fitted to Data in Figure 6)

Eu Sorption Experiments

3 Parameter Logistic Fit

[DOM] =

500 mgC/L

a =

0.581

Solid

SRS Soil

b =

2.004

S/L (g/mL)

0.0238

pH0 =

11.353

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.5024

42

4.75

0.4947

41

5.00

0.4869

40

5.25

0.4789

39

5.50

0.4708

37

5.75

0.4626

36

6.00

0.4544

35

 

Laboratory data for the ternary system containing the divalent uranyl ion, organic matter (Suwannee River DOM), and SRS soil components (kaolinite and Burial Ground soil) are contained in Serkiz et al. (1998). Uranyl sorption data to kaolinite at 0, 10, and 30 mg C/L and uranyl sorption to an SRS Burial Ground soil in the absence of added organic matter (Johnson, 1995) were fitted to the three parameter logistic function as described above. The curve fitting data are summarized in Tables 7 through 9 for 0, 10, and 30 mg C/L sorption to kaolinite laboratory data respectively and Table 10 for uranyl sorption to SRS soil in the absence of added organic matter. Graphical representations of the laboratory data and model fits are shown in Figures 7 through 9 for the 0, 10, and 30 mg C/L laboratory data respectively and Figure 10 for uranyl sorption to SRS soil in the absence of added organic matter. The kaolinite Kd data were adjusted to a whole soil response by assuming a clay content of 3.8% by weight and that the remaining soil mass was unreactive with respect to to uranyl sorption.

 

Table 7 – Curve Fitting Summary U Sorption to Kaolinite with 0 Added
Organic Matter (Fitted to Data in Figure 7)

U Sorption Data From Turner (1995)

3 Parameter Logistic Fit

[DOM] =

0 mgC/L

a =

1.000

Solid

Kaolinite

b =

-21.049

S/L Kaolinite

0.004

pH0 =

4.715

S/L (g/mL)

0.105

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.2720

4

4.75

0.5384

11

5.00

0.7744

33

5.25

0.9056

91

5.50

0.9623

242

5.75

0.9849

618

6.00

0.9938

1514

 

Table 8 – Curve Fitting Summary U Sorption to Kaolinite 10 mg C/L Suwannee River
Organic Matter (Fitted to Data in Figure 8)

U Sorption Data From Serkiz et al., 1998

3 Parameter Logistic Fit

[DOM] =

10 mgC/L

a =

0.991

Solid

Kaolinite

b =

-9.362

S/L Kaolinite

0.003

pH0 =

3.606

S/L (g/mL)

0.0789

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.8805

93

4.75

0.9214

148

5.00

0.9468

225

5.25

0.9626

326

5.50

0.9725

448

5.75

0.9788

584

6.00

0.9828

724

 

Table 9 – Curve Fitting Summary U Sorption to Kaolinite 30 mg C/L Suwannee River
Organic Matter (Fitted to Data in Figure 9)

U Sorption Data From Serkiz et al., 1998

3 Parameter Logistic Fit

[DOM] =

30 mgC/L

a =

0.562

Solid

Kaolinite

b =

-30.459

S/L Kaolinite

0.003

pH0 =

3.180

S/L (g/mL)

0.0789

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.5621

16

4.75

0.5621

16

5.00

0.5621

16

5.25

0.5621

16

5.50

0.5621

16

5.75

0.5621

16

6.00

0.5621

16

 

Table 10 – Curve Fitting Summary U Sorption to SRS Soil 0 Added Organic Matter
(Fitted to Data in Figure 10)

U Sorption Data From Johnson (1995)

3 Parameter Logistic Fit

[DOM] =

0 mgC/L

a =

1.000

Solid

SRS Soil

b =

-14.660

S/L (g/mL)

0.0238

pH0 =

4.498

Model Predictions

pH

Fraction Sorbed

Kd

4.50

0.5014

42

4.75

0.6896

93

5.00

0.8249

198

5.25

0.9060

405

5.50

0.9501

800

5.75

0.9734

1536

6.00

0.9856

2866

 

The variability in Kd with respect to changes in both pH and organic carbon content is clearly shown in the laboratory data. The variability due to pH, at a constant organic carbon content, is as high as about two orders of magnitude. The size of this pH effect decreases with increasing organic matter content. Similarly, the effects of organic matter at more neutral pH values is several orders of magnitude reduction at high organic matter content. At low-pH values, however, Kd values are similar regardless of organic matter content.

Recommended Kd values, along with the fractional decrease in Kd with increasing organic matter content, based on laboratory data for ternary systems of Eu or U, natural organic matter, and SRS soil components are summarized in Table 11.

 

Table 11 – Summary of Eu and U Kd Values From Laboratory Data

Model Regime DOC Range (mgC/L)

DOC Data Used in Calc. (mgC/L)

pH

Trivalent Eu Kd (mL/g)

Fraction of Eu-Kd with [DOC]=0

Divalent UO2 Kd (mL/g)

Fraction of UO2Kd with [DOC]=0

< 1

0

5.50

7300

1.00

800

1.00

10 to 1

10

5.25

1300

0.18

325

0.41

30 to 10

30

5.00

210

0.029

16

0.20

100 to 30

100

4.75

70

0.0096

8

0.0096

1000 to 100

500

4.50

40

0.0055

4

0.0055

 

Site-specific data for the sorption of Cs to SRS soils as a function of pH are from work presented in Johnson (1995). These data are summarized in Table 12 for the pH in each of the model regimes. As expected, the fractional Kd reduction with decreasing pH is much less than for the multivalent cations. Because organic matter is not expected to strongly influence monovalent cation sorption directly, only the effect of pH on monovalent cation sorption was considered. Similar to the approach taken with the multivalent cation species, other monocations were indexed to the Kd reductions observed with decreasing pH for Cs sorption to SRS soil.

Table 12 – Summary of Cs Kd Values From Laboratory Data

Model Regime DOC Range (mgC/L)

DOC Data Used in Calc. (mgC/L)

pH

Cs Kd (mL/g)

Fraction of Baseline Kd

< 1

0

5.50

18

1.00

10 to 1

0

5.25

12

0.67

30 to 10

0

5.00

5

0.28

100 to 30

0

4.75

5

0.28

1000 to 100

0

4.50

5

0.28

 

Based on the approach described above, recommended CDP-influenced Kd values for the 29 elements considered in E-Area Vaults Disposal Facility were calculated. Where site-specific Kd data were available (i.e., U, Cd, Cs, and Eu) for nuclide sorption in the absence of organic matter, they were recommended for use in the less than one mgC/L model regime and in calculating Kd values for all other model regimes. The results from this exercise and summary information from the previous PA modeling effort (McDowell-Boyer, 2000) are presented in Table 13.

 

Table 13 - Recommended Kd Values

--------------[DOC(mgC/L]-----------

--E-Area Vault PA Data (2000)---

1

10

30

100

1000

Nuclides GW

Kd (ml/g)

5.5

5.25

5.00

4.75

4.5

Notes

Ac

Ac+3

450

450

80

13

4

2

Scaled From Knaub's Eu Data and PA Kd

Am

Am3+

1900

1900

338

55

18

10

Scaled From Knaub's Eu Data and PA Kd

C

CO3-2

2

2

2

2

2

2

Use PA Kd (Form of C not Known)

Cf

Cf3+

510

510

91

15

5

3

Scaled From Knaub's Eu Data and PA Kd

Cm

Cm3+

4000

4000

712

115

38

22

Scaled From Knaub's Eu Data and PA Kd

Cs

Cs+

330

18

12

5

5

5

Johnson's SRS Data 0 DOM

Eu

Eu+3

NA

7300

1300

210.0

70.0

40.0

From Dave Knaub's Data 0,10,30,100, 500 mgC/l

H

HTO

0

0

0

0

0

0

Kd of 0 used in PA

I

I-

0.6

0.6

0.6

0.6

0.6

0.6

Anionic Assume No Effect of pH or DOM

Nb

Anionic

160

160

160

160

160

160

Anionic Assume No Effect of pH or DOM

Ni

Ni+2

400

400

163

8

3.8

2.2

Scaled From Uranium Kd Response

Np

NpO2+1

5

5

3

1

1

1

Scaled From Johnson (1995) Data and PA Kd

Pa

PaO2+1

550

550

3

1.4

1.4

1.4

Scaled From Johnson (1995) Data and PA Kd

Pb

Pb+2

270

270

110

5

3

1

Scaled From Uranium Kd Response

Pd

Pd+2

55

55

22.34

1.1

0.527

0.301

Scaled From Uranium Kd Response

Po

Po-2

150

150

150

150

150

150

Anionic Assume No Effect of pH or DOM

Pu

Pu4+

100

100

18

3

1

1

Scaled From Knaub's Eu Data and PA Kd

Ra

Ra+2

500

500

203.1

10

4.795

2.74

Scaled From Uranium Kd Response

Rb

Rb+

55

55

3

1

1

1

Scaled From Johnson (1995) Data and PA Kd

Se

SeO3-2

5

5

5

5

5

5

Anionic Assume No Effect of pH or DOM

Sn

Sn+2

130

130

52.81

2.6

1.247

0.712

Scaled From Uranium Kd Response

Sr

Sr2+

10

10

4

0.2

0.1

0.1

Scaled From Uranium Kd Response

Tc

TcO4-

0.36

0.36

0.36

0.36

0.36

0.36

Anionic Assume No Effect of pH or DOM

Th

Th+4

3200

3200

570

92

31

18

Scaled From Knaub's Eu Data and PA Kd

U

UO2+2

35

800

325

16

8

4

1,10, 30 mgC/L for Lab Data (Johnson and Uhal) 100, 1000 scaled from Eu Data

Zr

Zr+4

600

600

107

17

6

3

Scaled From Knaub's Eu Data and PA Kd

Notes:

recommended CDP unimpacted Kd different than PA data

NA

Not Available

 

Conclusions

Laboratory data on the influence of CDP on metal/nuclide cation sorption show that these organic compounds can significantly reduce sorption, both directly and indirectly. Directly through complexation of metals in the aqueous phase, thus, inhibiting sorption and indirectly by reducing the system pH that, in turn, results in a more positively charged soil surface also inhibiting cation sorption. The direct effects of organic matter at more neutral pH values is several orders of magnitude reduction under conditions of high organic matter content. At low pH values, Kd values are similar regardless of organic matter content. Kd variability due to pH, at constant organic carbon content, is as high as about two orders of magnitude. The degree of this pH effect decreases with increasing organic matter content.

Because generating laboratory data on the influence of CDP on the mobility of the 29 elements included in the E-Area Vaults PA modeling effort would be cost and time prohibitive, an indexing approach based on chemical analogues was adopted for cationic species. As expected, the higher the cationic charge of the specie of interest the greater the influence of the organic matter, over the geochemical range found in the model regimes. Using this indexing approach, Kd reductions of over 99 percent were calculated. Given the large Kd reduction for this index approach, if a high degree of conservatism is incorporated in the PA Kd value, then unrealistically low inventories for certain nuclides could be calculated.

The index approach taken in this work is largely empirical and should be validated with additional studies both in the field and laboratory. Certain mechanisms not accounted for in this work could significantly increase the allowable PA inventory if they are incorporated in the PA models. For example metal/nuclide reduction could result in a very high Kd for U, Pu, and, Tc by the virtue of a low solubility limit on the reduced form of these elements. The highest DOC concentrations are expected in the vicinity of the actual waste. These concentrations, and the resulting effect on Kd values, will decrease with distance from the waste. This effect should be investigated, both in the field and with modeling studies. Although the pH buffering capacities of SRS soils are relatively low, this was not accounted for in estimating the magnitude of the pH reduction due to the formation of CDP. Some credit for this soil-buffering mechanism could be accounted for with additional laboratory studies.

References

  1. Johnson, W.H. (1995). Sorption models for U, Cs, and Cd on Upper Atlantic Coastal Plain Soils. Ph.D. Thesis. Georgia Institute of Technology.
  2. McDowell-Boyer L., Yu A. D., Cook J. R., Kocher D. C., Wilhite E. L., Holmes-Burns H., and Young K. E., (2000). Radiological Performance Assessment for the E-Area Low-Level Waste Facility, WSRC-RP-94-218 Rev. 1 (U). Westinghouse Savannah River Company. , WSRC-RP-94-218 Rev. 1, Aiken, SC.
  3. Serkiz S. M., Knaub D., and Uhal H., (1998). Phase I Nuclide Partition Laboratory Study Influence of Cellulose Degradation Products On the Transport of Nuclides from SRS Shallow Land Burial Facilities (U). Westinghouse Savannah River Company. WSRC-TC-98-00460. Aiken, SC.
  4. Serkiz S. M., Knaub D., and Lee C., (1999). Phase II Nuclide Partition Laboratory Study Influence of Cellulose Degradation Products On the Transport of Nuclides from SRS Shallow Land Burial Facilities (U). Westinghouse Savannah River Company. WSRC-TC-99-00298. Aiken, SC.
  5. Serkiz S. M. and Myers J.L., (1996). Additional Information for E-area Vault Performance Assessment, Appendix I "Suspect Soil Performance Analysis" – Results of Modeling the Effects of Organic Matter on the Mobility of Radionuclides as it Relates to the Disposal of Wood Products in E-Area Slit Trenches. Westinghouse Savannah River Company. WSRC-TR-98-00049. Aiken, SC.
  6. Turner, D. R.(1995). A uniform approach to surface complexation modeling of radionuclide sorption. Center for Nuclear Waste Regulatory Analyses report CNWRA 95-001 San Antonio, TX .

Figures

Figure 1 – Organic Carbon Content/pH Effects CDP Generation Study
(Serkiz et al., 1999)

 

Figure 2 – Eu Sorption to SRS Soil (24 g/L) Suwannee River DOM at 0 mgC/l

 

 

Figure 3 – Eu Sorption to SRS Soil (24 g/L) Suwannee River DOM at 10 mgC/l

 

Figure 4 - Eu Sorption to SRS Soil (24 g/L) Suwannee River DOM at 30 mgC/l

 

Figure 5 - Eu Sorption to SRS Soil (24 g/L) Suwannee River DOM at 100 mgC/l

 

Figure 6 - Eu Sorption to SRS Soil (24 g/L) Suwannee River DOM at 500 mgC/l

 

Figure 7 - U Sorption to Kaolinite (4 g/L) Data from Turner (1995) No Added Organic Matter

 

Figure 8 - U Sorption to Aiken Kaolinite (3g/L) Suwannee River DOM at 10 mgC/l

 

Figure 9 -U Sorption to Aiken Kaolinite (3g/L) Suwannee River DOM at 30 mgC/l

 

Figure 10 - U Sorption to SRS Soil (2.38 g/L) From Johnson (1995) No Added Organic Matter