Measuring soil freezing characteristic curve with thermo-time domain reflectometry

被引:5
|
作者
Tian, Zhengchao [1 ,2 ,4 ]
Wang, Li [3 ]
Ren, Tusheng [3 ,5 ]
机构
[1] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China
[2] Minist Agr & Rural Affairs, Key Lab Arable Land Conservat Middle & Lower Reach, Wuhan, Peoples R China
[3] China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China
[4] Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China
[5] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
基金
中国国家自然科学基金;
关键词
dynamic thermo-TDR method; freezing characteristic curve; supercooling; water retention curve; UNFROZEN WATER-CONTENT; FROZEN SOIL; ICE CONTENT; HYDRAULIC CONDUCTIVITY; DIELECTRIC TUBE; LIQUID WATER;
D O I
10.1111/ejss.13335
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
The soil freezing characteristic curve (SFCC) has applications in determining the soil water retention curve (SWRC) and modelling thermal and hydrological processes in cold regions. Accurate measurement of the SFCC in the laboratory has been constrained to the thawing process because of the interference of supercooling during the freezing process. In this study, we introduce a dynamic method based on the technique of thermo-time domain reflectometry (thermo-TDR) for measuring the SFCC quickly and accurately. A simple iced-toothpick approach was used for eliminating supercooling during a freezing experiment. The performance of the thermo-TDR-based method was evaluated by comparing the measurements with the equilibration method on two soils of different textures. The results showed that the supercooling phenomena during the freezing process could be eliminated effectively by inserting iced-toothpicks into the samples at soil freezing point, and both the SFCC (at a freezing rate of 2.5? h(-1)) and the soil thawing characteristic curves (STCC) could be determined accurately with the thermo-TDR-based method. The thermo-TDR measured SFCCs agreed well with estimates from the SWRCs, with an average root-mean square error (RMSE) of 0.02 m(3) m(-3). The dynamic thermo-TDR-based method has the advantages of being easy to operate, time-saving, and applicable for in situ monitoring of SFCC, and could be used to determine SWRCs indirectly.
引用
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页数:12
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