Xiong Kun, Feng Yuqing, Jin Hua, Liang Sihai, Yu Kaining, Kuang Xingxing, Wan Li
School of Water Resources and Environment, China University of Geosciences (Beijing), Xueyuan Road 29, Beijing, 100083, China.
Hebei Center for Ecological and Environmental Geology Research, Hebei GEO University, Shijiazhuang, 050031, China.
Sci Rep. 2023 Jul 1;13(1):10684. doi: 10.1038/s41598-023-37413-5.
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.
热导率是土壤热传递的一个基本参数，在包括地下水抽取、地源热泵和土壤蓄热在内的许多领域中发挥着重要作用。然而，获取土壤热导率通常需要耗费大量的时间和精力。为了方便地获得准确的土壤热导率，本研究提出了一个描述土壤热导率（λ）与饱和度（S）之间关系的新模型。干土热导率（λ）和饱和土热导率（λ）分别用线性表达式和几何平均模型来描述。添加了一个含一个常数的二次函数来计算超出较低λ和较高λ极限条件下的λ。将所提出的模型与其他五个常用模型以及51个从砂土到粉质粘壤土的土壤样本的实测数据进行了比较。结果表明，所提出的模型与实测数据匹配良好。所提出的模型可用于确定各种土壤质地在很宽含水量范围内的土壤热导率。
