Details

Autor(en) / Beteiligte

• Xiong, Kun
• Feng, Yuqing
• Jin, Hua
• Liang, Sihai
• Yu, Kaining
• Kuang, Xingxing
• Wan, Li

Titel

A new model to predict soil thermal conductivity

Ist Teil von

• Scientific reports, 2023-07, Vol.13 (1), p.10684-10684, Article 10684

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2023

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Thermal conductivity is a basic parameter of soil heat transferring, playing an important role in many fields including groundwater withdrawal, ground source heat pump, and heat storage in soils. However, it usually requires a lot of time and efforts to obtain soil thermal conductivity. To conveniently obtain accurate soil thermal conductivity, a new model describes the relationship between soil thermal conductivity (λ) and degree of saturation (S ) was proposed in this study. Dry soil thermal conductivity (λ ) and saturated soil thermal conductivity (λ ) were described using a linear expression and a geometric mean model, respectively. A quadratic function with one constant was added to calculate λ beyond the lower λ and upper λ limit conditions. The proposed model is compared with five other frequently used models and measured data for 51 soil samples ranging from sand to silty clay loam. Results show that the proposed model match the measured data well. The proposed model can be used to determine soil thermal conductivity of a variety of soil textures over a wide range of water content.