UNDERSTANDING VARIATION IN PARTITION COEFFICIENT, Kd ...

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The high correlations between mica concentrations and CEC (r = 0.99) and mica concentrations and surface area (r = 0.99) are somewhat misleading in the fact that both correlations represent only 4 data points collected from 1 study site in Fontenay-aux-Roses in France (Legoux et al., 1992). D.2.2 Cesium Adsorption as a Function of CEC and pH Akiba and Hashimoto (1990) showed a strong correlation between cesium K d values and the CEC of a large number of soils, minerals, and rock materials. The regression equation generated from their study was: log (Cs K d) = 1.2 + 1.0 log (CEC) (D.1) A similar regression analysis using the entire data set (mineral, rocks, and soils) is presented in Figure D.1. Figure D.1. Relation between cesium K d values and CEC. D.7
By transposing the CEC and cesium K d data into logarithms, the regression correlation slightly increases from 0.52 (Table D.3) to 0.60 (Figure D.1). However, a great amount of scatter in the data can still be seen in the logarithmic transposed data. For instance, at log(CEC) of 0.25, the cesium K d values range over 4 orders of magnitude. It is important to note that the entire cesium K d data set only varies 5 orders of magnitude. Thus, the correlation with CEC, although the strongest of all the independent variables examined, did not reduce greatly the variability of possible cesium K d values. D.2.3 CEC as a Function of Clay Content and pH Because CEC values are not always available to contaminant transport modelers, an attempt was made to use independent variables more commonly available in the regression analysis. Multiple regression analysis was conducted using clay content and pH as independent variables to predict CEC values (Figure D.2). Clay content was highly correlated to CEC (r = 0.64). Soil pH was not significantly correlated to either CEC or cesium K d values. Figure D.2. Relation between CEC and clay content. D.8
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United States Office of Air and Rad
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NOTICE The following two-volume rep
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This publication is the result of a
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TO COMMENT ON THIS GUIDE OR PROVIDE
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CONTENTS NOTICE ...................
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Concentrations Extractable Iron Con
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Appendix A - Acronyms and Abbreviat
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Figure E.1. Variation of K d for Cr
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Table 5.16. Uranium(VI) aqueous spe
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Table H.3. Simple and multiple regr
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1.0 Introduction The objective of t
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discussed. The geochemical modeling
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2.0 The K d Model The simplest and
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track many more parameters and some
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of interest. The retardation factor
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(e.g., soil). An increasing body of
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complexation constants for the cont
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the soil column. Additionally, the
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Element Table 5.2. Concentrations o
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5.2.3 Aqueous Speciation Cadmium fo
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5.2.4 Dissolution/Precipitation/Cop
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cadmium, indicating that cadmium an
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5.2.6.2.2 Limits of K d Values with
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organic chelates (e.g., EDTA). Init
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(tarapacaite) in chromium sludge fr
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K d). Soils containing Mn oxides ox
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Table 5.7. Estimated range of Kd va
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most common valence state of lead e
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Table 5.8. Lead aqueous species inc
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Under reducing conditions, galena (
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C Adsorption of lead increases with
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(Choppin, 1983). Plutonium hydrolyt
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Table 5.10. Plutonium aqueous speci
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5.6.5 Sorption/Desorption Plutonium
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content in the system. Additionally
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much greater concentrations. Thus,
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exchanged which they attributed to
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up tables was based in part on thei
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organic complexes likely predominat
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Thorium undergoes hydrolysis in aqu
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The distribution of thorium aqueous
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from about 10 -8.5 mol/l (0.0007 mg
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Based on the assumptions and limita
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5.10 Tritium Geochemistry And K d V
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uranium. Uranium(VI) species domina
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gives 0.1 to 10 µg/l as the range
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mineral in reducing ore zones (Fron
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Percent Distribution 100 80 60 40 2
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5.11.6 Partition Coefficient, K d ,
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No attempt was made to statisticall
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Table 5.18. Selected chemical and t
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Another objective of this report is
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6.0 REFERENCES Adriano, D. C. 1992.
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Bensen, D. W. 1960. Review of Soil
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Metals by Geomedia. Variables, Mech
Page 121 and 122: EPA (U.S. Environmental Protection
Page 123 and 124: Griffin, R. A., A. K. Au, and R. R.
Page 125 and 126: + Keeney-Kennicutt, W. L., and J. W
Page 127 and 128: Mattigod, S. V., A. L. Page, and I.
Page 129 and 130: Oscarson, D. W., and H. B. Hume. 19
Page 131 and 132: Relyea, J. F. and D. A. Brown. 1978
Page 133 and 134: Schultz, R. K., R. Overstreet, and
Page 135 and 136: Szalay, A. 1964. “Cation Exchange
Page 137 and 138: Yariv, S., and H. Cross. 1979. Geoc
Page 139 and 140: APPENDIX A Acronyms, Abbreviations,
Page 141 and 142: PC Personal computers operating und
Page 143 and 144: A.3.0 List of Symbols and Notation
Page 145 and 146: APPENDIX B Definitions
Page 147 and 148: Clay Content - particle size fracti
Page 149 and 150: Polynuclear Species - an aqueous sp
Page 151 and 152: C.1.0 Background Appendix C Partiti
Page 153 and 154: Cadmium K d Table C.2. Correlation
Page 155 and 156: C.3.0 Data Set for Soils Table C.4
Page 157 and 158: Cd K d (ml/g) Clay Cont. (wt%) pH C
Page 167 and 168: D.1.0 Background Appendix D Partiti
Page 169 and 170: A second data set (see Section D.4)
Page 171: Table D.3. Correlation coefficients
Page 175 and 176: Table D.6. Cesium K d values measur
Page 177 and 178: eported in Table D.8 are described
Page 179 and 180: a 1 b 1 Range of Solution Cs Concen
Page 181 and 182: Figure D.4. Generalized cesium Freu
Page 183 and 184: Table D.10. Estimated range of K d
Page 185 and 186: D.3.0 K d Data Set for Soils and Pu
Page 187 and 188: Cesium Kd (ml/g) Clay (wt.% ) Mica
Page 193 and 194: Cesium K d (ml/g) Clay (wt%) Mica (
Page 195 and 196: Bruggenwert, M. G. M., and A. Kamph
Page 197 and 198: Shiao, S. Y., P. Rafferty, R. E. Me
Page 199 and 200: E.1.0 Background Appendix E Partiti
Page 201 and 202: chromium-reductive soils may stem f
Page 204 and 205: E.2.0 Approach The approach used to
Page 206 and 207: Table E.3. Estimated range of K d v
Page 208 and 209: Table E.4. Data from Rai et al. (19
Page 210 and 211: E.4.0 References Davis, J. A. and J
Page 212 and 213: APPENDIX F Partition Coefficients F
Page 214 and 215: (CEC) of the soils. Such an anomaly
Page 216 and 217: Table F.1. Summary of K d values fo
Page 218 and 219: Figure F.2. Variation of K d as a f
Page 220 and 221: F.4.0 References Abd-Elfattah, A.,
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APPENDIX G Partition Coefficients F
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A number of investigators have exam
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pH value, which is typical of the m
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These significant reductions in ads
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This is typically accomplished by t
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The scatterplots are typically disp
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Table G.2. Regression models for pl
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G.4.0 References Barney, G. S. 1984
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Nelson, D. M., R. P. Larson, and W.
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APPENDIX H Partition Coefficients F
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1.6 ml/g for a measurement made on
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Figure H.1. Relation between stront
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Figure H.2. Relation between stront
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H.2.4 Approach Figure H.4. Relation
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A second look-up table (Table H.5)
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Sr K d (ml/g) Clay Content (%) pH C
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Sr K d (ml/g) Clay Content (%) pH C
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Sr K d (ml/g) Clay Conten t (%) pH
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Konishi, M., K. Yamamoto, T. Yanagi
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APPENDIX I Partition Coefficients F
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descriptive statistics of the thori
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Figure I.1. Linear regression betwe
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The look-up table (Table I.5) for t
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Thorium K d (ml/g) pH Clay (wt.%) C
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Rai, D., A. R. Felmy, D. A. Moore,
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J.1.0 Background Appendix J Partiti
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J.2.2 Uranium K d Studies on Soils
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Washington. The studies included an
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and then decreases with increasing
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Kd (ml/g) 100,000 10,000 1,000 100
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papers. Warnecke et al. (1984) indi
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Anderson et al. (1982) summarize an
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McKinley and Scholtis (1993) compar
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In a similar comparison of sorption
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J.3.1 K d Values as a Function ff p
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discussed, and one would have to ma
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al., 1992; and others). These refer
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· Manskaya et al. (1956) studied a
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concentrations of humic acid, there
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pH U Kd (ml/g) Clay Cont. (wt.%) CE
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J.6.0 References Ames, L. L., J. E.
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Erikson, R. L., C. J. Hostetler, R.
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R. C. Ewing. Materials Research Soc
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Sheppard, M. I., and D. H. Thibault
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Yamamoto, T., E. Yunoki, M. Yamakaw
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