A new empirical model for the estimation of soil thermal conductivity

被引：22

作者：

Ren, Jie ^{[1
,2
]}

Men, Lili ^{[2
]}

Zhang, Wenbing ^{[2
]}

Yang, Jie ^{[1
,2
]}

机构：

[1] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shanxi, Peoples R China

[2] Xian Univ Technol, Coll Water Resources & Hydroelect Engn, Xian 710048, Shaanxi, Peoples R China

来源：

ENVIRONMENTAL EARTH SCIENCES | 2019年 / 78卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Soil; Thermal conductivity; Empirical model; Soil water content; WATER-CONTENT; EVAPORATION; TEXTURE; DENSITY; PROBE;

D O I：

10.1007/s12665-019-8360-7

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Soil thermal conductivity () is an important thermal property which serves as an indicator for the coupling of soil, water, heat, and solutes in a numerical model. The objective of this study is to develop a new empirical model for estimating soil thermal conductivity. There are several methods for estimating available, but they are complicated and can produce relatively large errors. Using published datasets, the performance of the new estimate was evaluated along with nine other normalized models, and the advantages and disadvantages of each model and its relevant soil types were analyzed and compared. The results showed that the new empirical model is suitable for studying the thermal conductivities of soils of different textures. In the comparisons, it had the best performance among the ten models considered, with a minimum standard deviation (SD) of 0.074Wm(-1)K(-1), the coefficient of determination (R-2) from 0.929 to 0.983 with a mean of 0.964, and relative error (Re), from 5.210 to 9.900% with a mean of 7.335%. The new model has been shown to improve the reliability of estimation of soil thermal conductivity and has application in agricultural science, environmental science, earth science and engineering research.

引用

页数：16