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The transport parameters were determined for the 18 O isotope (in the form of H 2 18 O), the Br -ion, and atrazine in intact columns of allophanic Andosol (Mexico State, Mexico). A one dimensional model for the convective dispersive transport of chemicals with account for the decomposition and equilibrium adsorp tion (HYDRUS 1D), which is widely applied for assessing the risk of the chemical and bacterial contamina tion of natural waters, was used. The model parameters were obtained by solving the inverse problem on the basis of laboratory experiments on the transport of the 18 O isotope, the Br -ion, and atrazine in intact soil columns at a fixed filtration velocity. The hydrodynamic dispersion parameters determined for the 18 O and Br -ions in one column were of the same order of magnitude, and those for atrazine were higher by 3-4 times. The obtained parameters were used to calculate the transport of these substances in another column with dif ferent values of the water content and filtration velocity. The transport process was adequately described only for the 18 O isotope. In the case of the Br -ion, the model significantly underestimated the transport velocity; for atrazine, its peak concentration in the column was overestimated. The column study of the transport of the three chemical compounds showed that transport parameters could not be reliably predicted from the results of a single experiment, even when several compounds were used in this experiment.
The transport parameters were determined for the 18 O isotope (in the form of H 2 18 O), the Br -ion, and atrazine in intact columns of allophanic Andosol (Mexico State, Mexico). A one dimensional model for the convective dispersive transport of chemicals with account for the decomposition and equilibrium adsorp tion (HYDRUS 1D), which is widely applied for assessing the risk of the chemical and bacterial contamina tion of natural waters, was used. The model parameters were obtained by solving the inverse problem on the basis of laboratory experiments on the transport of the 18 O isotope, the Br -ion, and atrazine in intact soil columns at a fixed filtration velocity. The hydrodynamic dispersion parameters determined for the 18 O and Br -ions in one column were of the same order of magnitude, and those for atrazine were higher by 3-4 times. The obtained parameters were used to calculate the transport of these substances in another column with dif ferent values of the water content and filtration velocity. The transport process was adequately described only for the 18 O isotope. In the case of the Br -ion, the model significantly underestimated the transport velocity; for atrazine, its peak concentration in the column was overestimated. The column study of the transport of the three chemical compounds showed that transport parameters could not be reliably predicted from the results of a single experiment, even when several compounds were used in this experiment.
The formation, development, and some problems of the current physically based models of water and solute transfer are considered in this review. These models appeared about a half century ago. They were based on the basic laws of soil physics and other branches of soil science (laws of balance, transfer, diffusion, hydrodynamic dispersion, etc.) described by the corresponding equations and programs and supported by the experimental data in the form of physically based parameters. At present, one of the main problems in the development, adaptation, and application of these models is that the current and future mathematical models should rest upon the experimental support with a clear physical basis characterizing the nature of the phe nomenon described. This experimental support enables creating research models, drawing conceptual con clusions, and, hence, understanding, analyzing, and managing soil processes. This is apparently possible only if the set of methods for the experimental support of models is substantiated, preferably in direct physical experiments and under field conditions close to the future model prognoses.
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