In-situ estimation of unsaturated hydraulic conductivity in freezing soil using improved field data and inverse numerical modeling

Cheng, Qiang; Xu, Qiang; Cheng, Xianglin; Song, Yu; Wang, Zhongyi; Sun, Yifei; Yan, Xiaofei; Jones, Scott B.

doi:10.1016/j.agrformet.2019.107746

Cited by 8 publications

(4 citation statements)

References 47 publications

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“…The unsaturated water conductivity of the frozen soils measured in this study was quite low, but under human control (Watanabe and Kugisaki, 2017) or natural conditions in the field (Espeby, 1990), water has been shown to infiltrate frozen soils through macropores as long as the pore size is large enough. Considering that the soil in this experiment was disturbed soil that had been air dried and sieved, although the macropores created by tillage practices (Lipiec et al, 2006) and invertebrate activities (Lavelle et al, 2006) were excluded, due to the inherent heterogeneity of the soil particles, macropores remain in the uniformly filled soil column (Cortis and Berkowitz, 2004;Oswald et al, 1997), and these macropores still played a role in determining the infiltration water flow. In addition, according to the equa-tions of N and θ m , it can be found that the main source of their uncertainty is the value of the pore radius r, and Eq.…”

Section: Effect Of Freeze-thaw Cycles On Soil Pore Distributionmentioning

confidence: 99%

“…Watanabe and Wake (2008) viewed soil pores as cylindrical capillaries and suggested that ice formation occurs at the center of these capillaries and established a model to describe the movement of thin film water and capillary water in frozen soil based on the theory of capillaries and surface absorption (Watanabe and Flury, 2008). The similarity between freezing and soil moisture profiles has been demonstrated (Spaans and Baker, 1996;Spaans, 1994), and subsequently, soil freezing characteristic curves have been applied to estimate the unsaturated hydraulic conductivity of frozen soils (Azmatch et al, 2012), which has been combined with field tests and inversion models to achieve a high accuracy (Cheng et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Soil infiltration characteristics and pore distribution under freezing-thawing conditions

Jiang

Liu

et al. 2020

Preprint

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Frozen soil infiltration widely occurs in hydrological processes such as seasonal soil freezing and thawing, snowmelt infiltration, and runoff. Accurate measurement and simulation of parameters related to frozen soil infiltration processes are highly important for agricultural water management, environmental issues, and engineering problems in cold regions. Temperature changes cause soil pore size distribution variations and consequently dynamic infiltration capacity changes during different freeze-thaw periods. To better understand these complex processes and to reveal the freeze-thaw action effects on soil pore distribution and infiltration capacity, black soils, meadow soils, and chernozem were selected as test subjects. These soil types account for the largest arable land area in Heilongjiang Province, China. Laboratory tests of soils at different temperatures were conducted using a tension infiltrometer and ethylene glycol aqueous solution. The stable infiltration rate and hydraulic conductivity were measured, and the soil pore distribution was calculated. The results indicated that for the different soil types, macropores, which constituted approximately 0.1 % to 0.2 % of the soil volume under unfrozen conditions, contributed approximately 50 % of the saturated flow, and after soil freezing, the soil macropore proportion decreased to 0.05 % to 0.1 %, while the saturated flow proportion decreased to approximately 30 %. Soil moisture froze into ice crystals inside relatively large pores, resulting in numerous smaller-sized pores, which reduced the number of macropores but increased the number of smaller-sized mesopores, so that the frozen soil infiltration capacity was no longer solely dependent on the macropores. After the ice crystals had melted, more pores were formed within the soil, enhancing the soil permeability.

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Section: Effect Of Freeze-thaw Cycles On Soil Pore Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Soil infiltration characteristics and pore distribution under freezing-thawing conditions

Jiang

Liu

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Non-local methods can be used to infer effective values for system parameters via inverse modeling, wherein the parameter field is constrained to be homogenous, and the corresponding best-fit equivalent upscaled parameter value is determined. Several recent studies [30][31][32][33] have used this technique for vadose zone parameter estimation. However, this approach requires solving the flow problem for specified boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

Can Deep Learning Extract Useful Information about Energy Dissipation and Effective Hydraulic Conductivity from Gridded Conductivity Fields?

Moghaddam¹,

Ferré²,

Ehsani³

et al. 2021

Water

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We confirm that energy dissipation weighting provides the most accurate approach to determining the effective hydraulic conductivity (Keff) of a binary K grid. A deep learning algorithm (UNET) can infer Keff with extremely high accuracy (R2 > 0.99). The UNET architecture could be trained to infer the energy dissipation weighting pattern from an image of the K distribution, although it was less accurate for cases with highly localized structures that controlled flow. Furthermore, the UNET architecture learned to infer the energy dissipation weighting even if it was not trained directly on this information. However, the weights were represented within the UNET in a way that was not immediately interpretable by a human user. This reiterates the idea that even if ML/DL algorithms are trained to make some hydrologic predictions accurately, they must be designed and trained to provide each user-required output if their results are to be used to improve our understanding of hydrologic systems.

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“…Over the last few decades, the temperature changes caused by global warming have altered the freezing state of near-surface soils, and in China, changes in characteristic values such as the mean annual area extent of seasonal soil freeze/thaw state and maximum freezing depth indicate the degradation of frozen soil, especially at high latitudes (Wang et al, 2019;Peng et al, 2016). Under the effect of temperature, most frozen regions experience the seasonal freezing and thawing of soil, accompanied by coupled soil water and heat movement and frost heave processes, thus making the soil structure and function more variable (Oztas and Fayetorbay, 2003;Fu et al, 2019;Gao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Soil infiltration characteristics and pore distribution under freezing-thawing conditions

Jiang¹,

Li²,

Liu³

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. Frozen soil infiltration widely occurs in hydrological processes such as seasonal soil freezing and thawing, snowmelt infiltration, and runoff. Accurate measurement and simulation of parameters related to frozen soil infiltration processes are highly important for agricultural water management, environmental issues and engineering problems in cold regions. Temperature changes cause soil pore size distribution variations and consequently dynamic infiltration capacity changes during different freeze-thaw periods. To better understand these complex processes and to reveal the freeze-thaw action effects on soil pore distribution and infiltration capacity, selected black and meadow soils and chernozem, which account for the largest arable land area in Heilongjiang Province, China. Laboratory tests of soils at different temperatures were conducted using a tension infiltrometer and ethylene glycol aqueous solution. The stable infiltration rate, hydraulic conductivity were measured, and the soil pore distribution was calculated. The results indicated that for the different soil types, macropores, which constituted approximately 0.1 % to 0.2 % of the soil volume under unfrozen conditions, contributed approximately 50 % of the saturated flow, and after soil freezing, the soil macropore proportion decreased to 0.05 % to 0.1 %, while their saturated flow proportion decreased to approximately 30 %. Soil moisture froze into ice crystals inside relatively large pores, resulting in numerous smaller-sized pores, which reduced the number of macropores while increasing the number of smaller-sized mesopores, so that the frozen soil infiltration capacity was no longer solely dependent on the macropores. After the ice crystals had melted, more pores were formed within the soil, enhancing the soil permeability.

show abstract

In-situ estimation of unsaturated hydraulic conductivity in freezing soil using improved field data and inverse numerical modeling

Cited by 8 publications

References 47 publications

Soil infiltration characteristics and pore distribution under freezing-thawing conditions

Soil infiltration characteristics and pore distribution under freezing-thawing conditions

Can Deep Learning Extract Useful Information about Energy Dissipation and Effective Hydraulic Conductivity from Gridded Conductivity Fields?

Soil infiltration characteristics and pore distribution under freezing-thawing conditions

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