文献类型：期刊文献

英文题名：Estimating soil water retention curves from soil thermal conductivity measurements

作者：Fu, Yongwei[1] Lu, Sen[2] Ren, Tusheng[3] Horton, Robert[4] Heitman, J. L.[1]

第一作者：Fu, Yongwei

通信作者：Heitman, JL[1]

机构：[1]North Carolina State Univ, Dept Crop & Soil Sci, Raleigh, NC 27695 USA;[2]Chinese Acad Forestry, Key Lab Tree Breeding & Cultivat, State Forestry Adm, Beijing 100091, Peoples R China;[3]China Agr Univ, Coll Land Sci & Technol, Beijing 100091, Peoples R China;[4]Iowa State Univ, Dept Agron, Ames, IA 50011 USA

年份：2021

卷号：603

外文期刊名：JOURNAL OF HYDROLOGY

收录：;EI(收录号：20214811245283);Scopus(收录号：2-s2.0-85119952884);WOS:【SCI-EXPANDED(收录号:WOS:000731711600006)】；

基金：This research was supported by the China Scholarship Council, US Army Research Laboratory (Grant Number: W911NF-16-1-0287) , US National Science Foundation (Grant Number: 2037504) , USDA-NIFA Multi-State Project 4188 and Natural Science Foundation of China (Grant Number: 41877019) .

语种：英文

外文关键词：Thermal conductivity; Van Genuchten model; Water content; Soil water retention curve; Matric potential

摘要：The soil water retention curve represents the relationship between soil water content (theta) and matric potential (psi). The van Genuchten (vG) model is commonly used to characterize the shape of a theta(psi) curve. Based on the similarities between theta(psi) curves and soil thermal conductivity (lambda) versus theta curves, Lu and Dong proposed a unified conceptual lambda(theta) model (LD model) for estimating lambda(theta) curves from theta(psi) curves. Their work makes it possible to relate the shapes of lambda(theta) curves to theta(psi) curves. In this study, we present an empirical approach to estimate the vG model parameter m from the LD model shape parameter p based on a model calibration with theta(psi) and lambda(theta) datasets obtained from 10 soils. The saturated water content theta s and the vG model parameter alpha are estimated from selected soil properties (i.e., bulk density, particle density, particle size distribution and organic carbon content), and the residual water content theta r is estimated from the LD model parameter theta f. For model evaluation, the theta(psi) curves of six soils were estimated from measured lambda(theta) values and selected soil properties, and were compared to direct theta(psi) measurements. The proposed method performed well with root mean square errors of estimated theta values ranging from 0.015 to 0.052 cm3 cm-3 and bias ranging from -0.009 to 0.040 cm3 cm-3. We conclude that the proposed method accurately estimates theta(psi) curves from lambda(theta) curves and selected soil properties.