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  • Canadian Science Publishing  (2)
  • 1
    Publication Date: 1996-03-25
    Description: This paper describes a mathematical model for predicting the hydraulic conductivity of partially frozen soils on the basis of limited input data such as grain size distribution and bulk density or porosity. A new model is based on an analogy for the hydraulic conductivity of frozen and unfrozen soils and models for the estimation of hydraulic properties of soils and unfrozen water content. Campbell's model was used for prediction of soil-water characteristics from limited data, while unfrozen water content was obtained from two models (by P.J. Williams and D.M. Anderson) applied to two different temperature ranges. The new model can be used for the rapid estimation of the hydraulic conductivity of practically any freezing soil having log-normal grain size distribution and for computer simulation of moisture migration in soils below the freezing point. An acceptable conformity between the model prediction and measured data for pure sand has been achieved. The computer program developed requires the following input data: grain size distribution, bulk density or porosity, and soil temperature. Key words: frozen soils, hydraulic conductivity, bulk density, grain size distribution, unfrozen water content.
    Print ISSN: 0008-3674
    Electronic ISSN: 1208-6010
    Topics: Geosciences
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  • 2
    Publication Date: 1992-08-01
    Description: Results from a user friendly, menu-driven, and interactive computer program for rapid estimation of thermal properties of soils are presented. The model developed is an extension of the de Vries approach. The new model allows easy estimation of the thermal conductivity of soils with approximately log-normal particle-size distribution. The model introduces the individual characteristics of five main mineral soil constituents (i.e., quartz, feldspar, calcite, clay minerals, and mica) and relates their occurrence in individual soils to grain-size distribution. The user also has a possibility of inserting to the model up to 20 additional mineralogical components, providing that mass fraction, thermal conductivity, density, shape, and specific heat are known. Soil-water hydraulic relations follow an extended power function model and allow the calculation of the apparent thermal conductivity of soils (water-vapor migration) at low moisture contents. Thus the model predicts soil thermal conductivity in a full range of moisture content from dryness to saturation and a temperature range of 0–95 °C. Good agreement with experimental data was reported. Key words : moist soils, soil thermal properties, thermal conductivity, specific heat, de Vries method.
    Print ISSN: 0008-3674
    Electronic ISSN: 1208-6010
    Topics: Geosciences
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