Download the full-sized PDF of Application of Time Domain Reflectometry and Heat Pulse Methods for Quantifying Phase Change, Water Flow and Heat Transport in Frozen SoilsDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Application of Time Domain Reflectometry and Heat Pulse Methods for Quantifying Phase Change, Water Flow and Heat Transport in Frozen Soils Open Access


Other title
Unfrozen water content
Frost depth
Winter thermal regime
Thermal properties
Soil freezing and thawing
Time domain reflectometry (TDR)
Ice content
Heat pulse method
Type of item
Degree grantor
University of Alberta
Author or creator
He, Hailong
Supervisor and department
Dyck, Miles (Renewable Resources)
Examining committee member and department
Dyck, Miles (Renewable Resources)
Mendoza, Carl (Earth and Atmosphere Science)
Silins, Uldis (Renewable Resources)
Si, Bing (Soil Science, University of Saskatchewan)
Olefeldt, David (Renewable Resources)
Department of Renewable Resources
Water and Land Resources
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Understanding water flow and heat transport processes in frozen/freezing soils is limited by methodologies for simultaneous, automated measurement of soil properties affecting soil water and heat flux. The major objective of this dissertation was to develop and evaluate time domain reflectometry (TDR) and heat pulse (HP) methodologies to measure soil liquid-water and ice content and soil thermal properties in order to better understand the physics of water flow and heat transport in frozen soils. Extensive lab work was performed and datasets from published work and soil moisture monitoring stations were used to validate and apply these methodologies. The main results are: (1) two multiphase dielectric mixing models that can be parameterized with unfrozen soil and implemented in frozen soils to accurately estimate liquid-water and ice content simultaneously with TDR method alone; (2) application of the developed TDR method to field data facilitates the understanding of soil freeze-thaw processes and snowmelt infiltration under natural boundary conditions despite the assumption of constant soil water content; (3) the dual probe HP method in combination with the TDR method can be used to quantify HP-induced ice melting and correct HP-measured specific heat capacity at high subfreezing temperatures; and (4) the soil freezing-thawing curve (SFTC) measured with these methods can be used explain the hysteresis, freeze-thaw processes, snowmelt infiltration and ice melting resulted from HP method. The application of these methodologies will advance the understanding of mass and energy transport in frozen soils and will spur the development of more innovative methodologies.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
He, H. and M. Dyck (2013), Application of multiphase dielectric mixing models for understanding the effective dielectric permittivity of frozen soils, Vadose Zone J., 12.

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (PDF/A)
Mime type: application/pdf
File size: 9159385
Last modified: 2015:10:21 23:53:27-06:00
Filename: He_Hailong_201501_PhD.pdf
Original checksum: f17410107b10bc7dd2d62b9ea3b88bf0
Activity of users you follow
User Activity Date