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
收藏
页数:12
相关论文
共 50 条
  • [31] Evaluating soil freezing characteristic curve models for predicting unfrozen water content in freezing soils
    Meng, Fanshuo
    Chen, Qian
    Du, Jun
    Wu, Yumo
    Lin, Zhikun
    Tian, Jiaqi
    Wang, Chong
    PHYSICS AND CHEMISTRY OF THE EARTH, 2024, 135
  • [32] Mini Tensiometer-Time Domain Reflectometry Coil Probe for Measuring Soil Water Retention Properties
    Subedi, Shaphal
    Kawamoto, Ken
    Karunarathna, Anurudda Kumara
    Moldrup, Per
    de Jonge, Lis Wollesen
    Komatsu, Toshiko
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2013, 77 (05) : 1517 - 1528
  • [33] A Theoretical Model of Soil Freezing Characteristic Curve Considering the Freezing of Adsorbed Water and Capillary Water
    Wang, Yijie
    Hu, Liming
    WATER RESOURCES RESEARCH, 2023, 59 (07)
  • [34] A Unified Model for the Soil Freezing Characteristic Curve Based on Pore Size Distribution and Principles of Thermodynamics
    Wang, Hao
    Vanapalli, Sai K.
    Li, Xu
    WATER RESOURCES RESEARCH, 2025, 61 (03)
  • [35] Predicting the soil freezing characteristic curve of the expansive soil with double porosity accounting for hydraulic effects
    Yin, Xiao
    Liu, Enlong
    Zhang, Chong
    JOURNAL OF HYDROLOGY, 2022, 612
  • [36] Estimating soil freezing characteristic curve based on pore-size distribution
    Wang, Chong
    Lai, Yuanming
    Zhang, Mingyi
    APPLIED THERMAL ENGINEERING, 2017, 124 : 1049 - 1060
  • [37] Stress Effects on Soil Freezing Characteristic Curve: Equipment Development and Experimental Results
    Mu, Q. Y.
    Zhou, C.
    Ng, C. W. W.
    Zhou, G. G. D.
    VADOSE ZONE JOURNAL, 2019, 18 (01):
  • [38] Towards an improved prediction of soil-freezing characteristic curve based on extreme gradient boosting model
    Li, Kai-Qi
    He, Hai-Long
    GEOSCIENCE FRONTIERS, 2024, 15 (06)
  • [39] Using soil freezing characteristic curve to estimate the hydraulic conductivity function of partially frozen soils
    Azmatch, Tezera F.
    Sego, David C.
    Arenson, Lukas U.
    Biggar, Kevin W.
    COLD REGIONS SCIENCE AND TECHNOLOGY, 2012, 83-84 : 103 - 109
  • [40] A generalized thermal conductivity model of soil-rock mixture based on freezing characteristic curve
    Wang, Yindong
    Lu, Jianguo
    Pei, Wansheng
    Wan, Xusheng
    Gao, Jiajia
    Deng, Fei
    COLD REGIONS SCIENCE AND TECHNOLOGY, 2025, 229