Abstract
A series of models has been proposed for estimating thermal diffusivity of soils at different water contents. Models have been trained on 49 soil samples with the texture range from sands to silty clays. The bulk density of the studied soils varied from 0.86 to 1.82 g/cm3; the organic carbon was between 0.05 and 6.49%; the physical clay ranged from 1 to 76%. The thermal diffusivity of undisturbed soil cores measured by the unsteady-state method varied from 0.78×10–7 m2/s for silty clay at the water content of 0.142 cm3/cm3 to 10.09 × 10–7 m2/s for sand at the water content of 0.138 cm3/cm3. Each experimental curve was described by the four-parameter function proposed earlier. Pedotransfer functions were then developed to estimate the parameters of the thermal diffusivity vs. water content function from data on soil texture, bulk density, and organic carbon. Models were tested on 32 samples not included in the training set. The root mean square errors of the best-performing models were 17–38%. The models using texture data performed better than the model using only data on soil bulk density and organic carbon.
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Original Russian Text © K.I. Lukiashchenko, T.A. Arkhangelskaya, 2018, published in Pochvovedenie, 2018, No. 2, pp. 179–186.
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Lukiashchenko, K.I., Arkhangelskaya, T.A. Modelling Thermal Diffusivity of Differently Textured Soils. Eurasian Soil Sc. 51, 183–189 (2018). https://doi.org/10.1134/S1064229318020084
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DOI: https://doi.org/10.1134/S1064229318020084