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Published online 1 January 2007
Published in Soil Sci Soc Am J 71:8-14 (2007)
DOI: 10.2136/sssaj2006.0041
© 2007 Soil Science Society of America
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An Improved Model for Predicting Soil Thermal Conductivity from Water Content at Room Temperature

Sen Lu, Tusheng Ren* and Yuanshi Gong

College of Resour. and Environ. Sci., China Agricultural Univ., Beijing, China 100094

Robert Horton

Dep. of Agronomy, Iowa State Univ., Ames, IA 50011


Figure 1
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Fig. 1. Thermal conductivity as a function of water content as indicated by (a) the conventional thermal conductivity ({lambda}) and water content ({theta}) relationship and (b) the normalized form (the Kersten number Ke vs. the degree of saturation Sr) for selected soils.

 

Figure 2
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Fig. 2. The measured and fitted Kersten number (Ke) and degree of saturation (Sr) relationships for (a) coarse-textured soils with sand fraction >0.40 and (b) fine-textured soils with sand fraction <0.40.

 

Figure 3
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Fig. 3. The dependence of thermal conductivity of dry soils ({lambda}dry) on soil porosity (n): measurements and estimations from Eq. [6] and Eq. [8] for mineral soils. The fitted linear equation was used in the new model to predict {lambda}dry from n.

 

Figure 4
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Fig. 4. Comparison of the Johansen (1975) model, the Côté and Konrad (2005) model, and the new model in predicting the soil thermal conductivity ({lambda}) and water content ({theta}) relationship on (a) the clay loam soil (Soil 9), (b) the silt loam soil (Soil 10), (c) the loam soil (Soil 11) and (d) the sand (Soil 12).

 

Figure 5
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Fig. 5. Predicted saturated soil thermal conductivity ({lambda}sat) values from Eq. [4] vs. measured values on saturated soils. Quartz content is taken as the fraction of sand.

 

Figure 6
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Fig. 6. Comparison of predicted soil thermal conductivity ({lambda}) values from (a) the new model, (b) the Johansen (1975) model, and (c) the Côté and Konrad (2005) model vs. measured data from Kersten (1949), Johansen (1975), and Farouki (1982).

 





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