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Predicting sodification of calcium-saturated soil columns on leaching with sodic waters

Published online by Cambridge University Press:  27 March 2009

R. S. Siyag ,
M. S. Lamba ,
Raj Pal  and
S. R. Poonia
R. S. Siyag
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar-125004, India
M. S. Lamba
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar-125004, India
Raj Pal
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar-125004, India
S. R. Poonia
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar-125004, India
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Summary

Depth accumulation of exchangeable Na+ was measured in Ca-saturated sandy loam soil columns (length 50 cm; diameter 5 cm) after percolating 500, 1000, 1500 and 2000 ml of 013 M Na+, as NaCl, NaHCO3, Na2SO4 and Na2CO3 solutions. The values of exchangeable sodium percentage (ESP) increased gradually with the increase in the volumes of the solution percolated. Two conceptual layer models, based on whether solutions were added to the topmost soil layer in one lot (M-I) or in splits equal to the saturation deficit (M-II), were used to predict the depth distribution of ESP of soil. The chemical processes considered in the models were the formation of ion pairs and the exchange equilibria of Na+ and Ca2+. The predicted values of ESP were considerably higher for model M-II than model M-I. The consideration of ion-pair formation and the accompanying anion had only negligible effect on the predicted ESP. The model M-II over-predicted the experimental ESP throughout the soil columns, whereas the model M-I under-predicted it for the upper layer(s) and over-predicted for the lower layers. On the basis of average ESP of the whole columns, the less realistic model M-I predicted experimental results better than model M-II. This was attributed to the presence of mobile and immobile zones for the flowing solutions.

Type
Research Article
Information
The Journal of Agricultural Science , Volume 111 , Issue 1 , August 1988 , pp. 159 - 163
Copyright
Copyright © Cambridge University Press 1988

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References

Addiscott, T. M. & Wagenet, R. J. (1985). Concepts of solute leaching in soils: a review of modelling approaches. Journal of Soil Science 36, 411–424.CrossRefGoogle Scholar
Bresler, E. (1967). A model for tracing salt distribution in the soil profile and estimating efficient combination of water quality and quantity under varying field conditions. Soil Science 104, 227–233.CrossRefGoogle Scholar
Burns, I. G. (1972). Leaching studies. Report of the National Vegetable Research Station for 1971, pp. 39–40.Google Scholar
Dutt, G. R., Shaffer, M. J. & Moore, W. J. (1972). Computer simulation model of dynamic bio-physicochemical processes in soil. Technical Bulletin no. 196. Department of Soils, University of Arizona, U.S.A.Google Scholar
Dutt, G. R., Terkeltoub, R. W. & Rauschkolb, R. S. (1972). Prediction of gypsum and leaching requirements for sodium affected soils. Soil Science 114, 93–103.CrossRefGoogle Scholar
Dutt, G. R., Tucker, T. C., Shaffer, M. J. & Moore, W. J. (1970). Predicting Nitrate Content of Agricultural Drainage Water. University of Arizona Final Report on Contract No. 14–06-D-6464 to U.S. Bureau of Reclamation.Google Scholar
Gapon, E. N. (1933). Theory of exchange adsorption in soils. Journal of General Chemistry (U.S.S.R.) 3, 144–152.Google Scholar
Kapoor, A. & Pal, R. (1986). Predicting salinization and sodification of bare sandy loam soil after irrigation with poor quality water interspersed with rain. Soil Science 141, 281–288.CrossRefGoogle Scholar
Pal, R. & Poonia, S. R. (1982). Predictive approaches of solute transport in soils. Journal of Scientific and Industrial Research 41, 117–130.Google Scholar
Robbins, C. W., Wagenet, R. J. & Jurinak, J. J. (1980). A combined salt transport chemical equilibrium model for calcareous and gypsiferous soil. Soil Science Society of America Journal 44, 1191–1194.CrossRefGoogle Scholar
Schulin, R., Wierenga, P. J., Fluhler, H. & Leuenberger, J. (1987). Solute transport through a stony soil. Soil Science Society of America Journal 51, 36–42.CrossRefGoogle Scholar
Sommerfeldt, T. J. (1962). Effect of anions in the system on the amount of cations adsorbed by soil materials. Soil Science Society of America Proceedings 26, 141—143.CrossRefGoogle Scholar
Stumm, W. & Morgan, J. J. (1970). Aquatic Chemistry. New York: Wiley Interscience.Google Scholar
Terkeltoub, R. W. & Babcock, K. L. (1971). A simple method for predicting salt movement through soil. Soil Science 111, 182–187.CrossRefGoogle Scholar
Van Genuchten, M. Th., Wierenga, P. J. & O'Connor, G. A. (1977). Mass transfer studies in sorbing porous media. III. Experimental evaluation with 2, 4, S-T. Soil Science Society of America Journal 41, 278–285.CrossRefGoogle Scholar