文献类型：期刊文献

英文题名：An Empirical Model for Estimating Soil Thermal Conductivity from Texture, Water Content, and Bulk Density

作者：Lu, Yili[1] Lu, Sen[2] Horton, Robert[3] Ren, Tusheng[1]

第一作者：Lu, Yili

通信作者：Ren, TS[1]

机构：[1]China Agr Univ, Dept Soil & Water Sci, Beijing 100193, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[3]Iowa State Univ, Dept Agron, Ames, IA 50011 USA

年份：2014

卷号：78

期号：6

起止页码：1859-1868

外文期刊名：SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000347624500004)】；

基金：This work was supported by the Natural Science Foundation of China (no. 41071155 and no. 41271238), the Special Fund for Agro-scientific Research in the Public Interest (no. 201303130), the High End Foreign Expert Program of China (no. GDW20121100041), and the Hatch Act, State of Iowa.

语种：英文

摘要：Soil thermal conductivity (lambda) models are needed frequently in studying coupled heat and water transfer in soils. Several models are available, but some are complicated and some produce relatively large errors. In this study, we developed a simple model for estimating lambda from soil texture, bulk density (rho(b)), and water content (theta). Three parameters, alpha, beta, and lambda(dry), are included in the model, where lambda(dry) is determined by rho(b) and alpha and beta are shape factors estimated from soil texture and rho(b). Empirical relations were developed for alpha and beta by fitting the model to heat-pulse (HP) measurements of lambda(theta) on seven soils of various textures. The model performance was evaluated with independent lambda(theta) data from independent HP measurements and literature values. The results show that the model is able to express the lambda(theta) curves from oven dry to saturation at fixed rho(b) values. When rho(b) is varied, the estimated lambda data agree well with measured values. The root mean square errors are <0.15 W m(-1) K-1, and the bias is within 0.10 W m(-1) K-1. The new model has the potential for use in studying heat movement in soils of varying texture, bulk density, and water content and can be incorporated into numerical algorithms for describing coupled heat and mass transfer processes.