Variations of the temperatures and volumetric unfrozen water contents of fine-grained soils during a freezing–thawing process

Zhang, Mingyi; Zhang, Xiyin; Lai, Yuanming; Lu, Jianguo; Wang, Chong

doi:10.1007/s11440-018-0720-z

Cited by 73 publications

(30 citation statements)

References 25 publications

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“…Kruse et al Koopmans and Miller (1966); Kozlowski (2009); Hu et al (2020)), but few report data for both the freezing and thawing limb. Hysteresis is soil-dependant and most apparent in fine-grained silt and clay soils (Zhang et al, 2020). The freezing process tends to lag behind the thawing process (as seen in Figure 1) due to ice nucleation which depresses the initiation of freezing (Zhang et al, 2020;Wu et al, 2017), heterogeneity in thermal conductivity and freezing point (Amiri et al, 2018), and the Gibbs-Thomson Equation describing the effect of wetting angle and pore geometry on the freezing point (Gharedaghloo et al, 2020), where highly wetted soils (hydrophylic) have a larger freezing point depression.…”

Section: Hysteresismentioning

confidence: 99%

A Repository of 100+ Years of Measured Soil Freezing Characteristic Curves

Devoie

Gruber

McKenzie

2022

Preprint

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Abstract. Soil freeze-thaw processes play a fundamental role in the hydrology, geomorphology, ecology, thermodynamics and soil chemistry of a cold-regions landscape. In understanding these processes, the temperature of the soil is used as a proxy to represent the soil ice content through a soil freezing characteristic curve (SFCC). This mathematical construct relates the soil ice content to a specific temperature for a particular soil. SFCCs depend on many factors including soil properties (e.g., porosity, composition, etc.), soil pore water pressure, dissolved salts, (hysteresis in) freezing/thawing point depression, and degree of saturation, all of which can be site-specific and time varying. SFCCs have been measured using various methods for diverse soils since 1921, and to date this data has not been broadly compared, in part because it has not previously been compiled in a single data set. The dataset presented in this publication includes SFCC data digitized or received from authors, and includes both historic and modern studies. The data is stored in an open-source repository, and an R package is available to facilitate its use. Aggregating the data has pointed out some data gaps, namely that there are few studies of coarse soils, and comparably few in-situ measurements of SFCCs in mountainous environments. It is hoped that this dataset will aid in the development of SFCC theory, and improve SFCC approximations in soil freeze-thaw modelling activities.

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Section: Hysteresismentioning

confidence: 99%

A Repository of 100+ Years of Measured Soil Freezing Characteristic Curves

Devoie

Gruber

McKenzie

2022

Preprint

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“…The volumetric unfrozen water content (calculated as the product of porosity and the degree of saturation of unfrozen water) in the permafrost layer is about 0.08. Li et al (2020); Zhang et al (2020) showed that the residual volumetric unfrozen water content for silty-clay, clay, medium sand, and fine sand is 0.12, 0.08, 0.06 and 0.03, respectively. These predictions fit well within the reasonable range of volumetric unfrozen water content for clay or clayey silt.…”

Section: Case Study For Characterization Of a Permafrost Site Using Surface Wave Techniquementioning

confidence: 99%

Seismic physics-based characterization of permafrost sites using surface waves

Liu

Maghoul

Shalaby

2021

Preprint

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Abstract. The adverse effects of climate warming on the built environment in (sub)arctic regions are unprecedented and accelerating. Planning and design of climate-resilient northern infrastructure as well as predicting deterioration of permafrost from climate model simulations require characterizing permafrost sites accurately and efﬁciently. Here, we propose a novel algorithm for analysis of surface waves to quantitatively estimate the physical and mechanical properties of a permafrost site. We show the existence of two types of Rayleigh waves (R1 and R2; R1 travels relatively faster than R2). The R2 wave velocity is highly sensitive to the physical properties (e.g., unfrozen water content, ice content, and porosity) of permafrost or soil layers while it is less sensitive to their mechanical properties (e.g., shear modulus and bulk modulus). The R1 wave velocity, on the other hand, depends strongly on the soil type and mechanical properties of permafrost or soil layers. In-situ surface wave measurements revealed the experimental dispersion relations of both types of Rayleigh waves from which relevant properties of a permafrost site can be derived by means of our proposed hybrid inverse and multi-phase poromechanical approach. Our study demonstrates the potential of surface wave techniques coupled with our proposed data-processing algorithm to characterize a permafrost site more accurately. Our proposed technique can be used in early detection and warning systems to monitor infrastructure impacted by permafrost-related geohazards, and to detect the presence of layers vulnerable to permafrost carbon feedback and emission of greenhouse gases into the atmosphere.

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“…The volumetric unfrozen water content (calculated as the product of porosity and the degree of saturation of unfrozen water) 230 in the permafrost layer is about 0.08. Li et al (2020); Zhang et al (2020) showed that the residual volumetric unfrozen water content for silty-clay, clay, medium sand, and fine sand is 0.12, 0.08, 0.06 and 0.03, respectively. These predictions fit well within the reasonable range of volumetric unfrozen water content for clay or clayey silt.…”

Section: Case Study For Characterization Of a Permafrost Site Using Surface Wave Techniquementioning

Variations of the temperatures and volumetric unfrozen water contents of fine-grained soils during a freezing–thawing process

Cited by 73 publications

References 25 publications

A Repository of 100+ Years of Measured Soil Freezing Characteristic Curves

A Repository of 100+ Years of Measured Soil Freezing Characteristic Curves

Seismic physics-based characterization of permafrost sites using surface waves

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