Soil thermal conductivity (λ) is an important thermal property for environmental, agricultural, and engineering heat transfer applications. Existing λ models for frozen soils are complicated to use because they require estimates of both liquid water content and ice content. This study introduces a new approach to estimate λ of partially frozen soils from air‐filled porosity (n_a), which can be determined by using an oven‐drying method. A λ and n_a relationship was established based on measurements for 28 partially frozen soils. A strong exponential relationship between λ and n_a was found (with R² of 0.82). Independent tests on 10 partially frozen soils showed that the exponential λ–n_a model produced reliable λ estimates with a RMSE of 0.319 W m⁻¹ K⁻¹, which was smaller than those of two widely used λ models for partially frozen soils. The λ–n_a model is easier to use than existing models, because it requires fewer parameters. Note that the λ‐n_a model ignores the effect of temperature on λ of frozen soils and is most applicable to soil at temperatures of at least −4 °C.

中文翻译：

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从充气孔隙率估算冻土的导热系数

土壤热导率（λ）是环境，农业和工程传热应用的重要热学性质。现有的冷冻土壤λ模型使用起来很复杂，因为它们需要估计液态水含量和冰含量。这项研究引入了一种新方法，可通过充气孔隙率（n _a）估算部分冻结土壤的λ ，这可以通过烤箱干燥法来确定。基于对28个部分冻结的土壤的测量，建立_了λ和n _a关系。发现在λ和n _a之间有很强的指数关系（R ²为0.82）。对10个部分冻结的土壤进行的独立测试表明，指数λ–Ñ_一个模型产生可靠λ估计用的0.319女男一个RMSE ^-1 ķ ^-1，比那些两种广泛使用的λ模型部分冻土小。该λ- ñ_一个模型更容易使用，比现有车型，因为它需要更少的参数。注意，λ- Ñ_一个模型忽略温度对冻土的λ的影响，并是最适用于土壤在至少-4℃的温度。