Effects of temperature changes on soil hydraulic properties

Gao, Hao; Shao, Mingan

doi:10.1016/j.still.2015.05.003

Cited by 84 publications

(24 citation statements)

References 38 publications

(45 reference statements)

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“…In the past decades, many studies have revealed that an accurate quantification of soil hydraulic processes is essential to regulate limited water resources in agriculture for future benefits (Deng et al, 2006; Evans and Sadler, 2008; Kresović et al, 2016). Because water flow in soils is inevitably impacted by texture and porosity as well as the hydraulic properties of the soil profile (Deng and Zhu, 2015; Gao and Shao, 2015), characterizing the effect of soil heterogeneity on water movement is vital for wise utilization of water resources.…”

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confidence: 99%

Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils

Gao

Zhang

Liu

et al. 2019

Vadose Zone Journal

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Core Ideas The adaptive GP‐based MCMC was efficient to estimate hydraulic parameters in soils. Accuracy of the estimated parameters was verified by simulating experimental results. These simulations revealed a significant effect of layered structure on soil water flow. Modeling water movement in heterogeneous soils, e.g., layered soils, is an essential but challenging task that requires accurate estimation of multiple sets of soil hydraulic parameters. Markov chain Monte Carlo (MCMC) is a popular but computationally expensive method for parameter estimation. An adaptive Gaussian process (GP)‐based MCMC method proposed in our previous work presents significant computational efficiency. Nevertheless, its performance was evaluated only for synthetic numerical cases and has not been experimentally validated. Furthermore, its applicability in estimating hydraulic parameters of layered soils is still unknown. In this study, we systematically evaluated the performance of the GP‐based MCMC method in estimating the layered soil hydraulic parameters through a water infiltration experiment. It was shown that the proposed method could provide reliable estimations that were very close to those given by the original‐model‐based MCMC but at a much lower computational cost. The simulated soil water dynamics using the estimated parameters revealed a significant effect of layered heterogeneity on water flow. The lower layer(s) with higher water suction may cause persistent unsaturated status of the upper layer(s) during infiltration.

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confidence: 99%

Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils

Gao

Zhang

Liu

et al. 2019

Vadose Zone Journal

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“…At the same time, the periodicities of UPC changes and ORP changes were more obvious. In general, ORP decreased with wastewater increasing [19]. The water contents increased.…”

Section: Effects Of Orp On Unsaturated Permeabilitymentioning

confidence: 89%

“…Matrix could be compacted gradually when wastewater infiltrated. Oxygen occupied the pore-water position and accelerated the speed of wastewater permeation [19]. Therefore, UPC in the 50 cm matrix depth was relatively high.…”

Section: Unsaturated Permeabilitymentioning

confidence: 99%

The relationship between the unsaturated permeability coefficients (UPC) determined and oxidation-reduction potential (ORP) in the subsurface wastewater infiltration system (SWIS)

Li¹,

Zhang²,

Li³

et al. 2019

DWT

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a b s t r a c tThe estimation of unsaturated permeability coefficients (UPC) is of great importance on the properties of the matrix. Aim to study the relationship between the UPC and oxidation -reduction potential (ORP) in different matrix depths in the subsurface wastewater infiltration system (SWIS) and provide scientific basis for regulating SWIS and increasing pollutant removal, a test experiment of simulating the SWIS which included an inflow period (12 h) and a drying period (12 h) in one cycle was designed with a hydraulic load of 0.10 m 3 ·(m 2 ·d) -1 . Results investigated that ORP could increase with UPC increasing in 70 and 115 cm and decrease with the UPC increasing in 100 and 130 cm matrix depths. Phenomena indicated that capillary action could affect UPC and ORP obviously. Moreover, the existence of oxygen and low volumetric water contents could impose UPC and ORP. UPC in the 100 cm matrix depth below proved that anaerobic area could be found in aerobic environment under alternation conditions. UPC in different matrix depths of a satisfactory SWIS could change from 2.49 × 10 -7 to 1.16 × 10 -3 cm·s -1 . Treated water met reused requirements and no clogging was found.

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“…Thermal gradients also induce significant changes in the estimated water fluxes because temperature affects soil hydraulic properties (Ben Neriah et al, 2014; Gardner, 1955; Grant and Bachmann, 2002; Grant and Salehzadeh, 1996; Hopmans and Dane, 1986; Nimmo and Miller, 1986; Parlange et al, 1998; Philip and de Vries, 1957; She and Sleep, 1998). For example, increasing water temperature decreases water viscosity, causing an increase in hydraulic conductivity (Levy et al, 1989) and thermal swelling of solid particles that change soil pore characteristics and the solid–liquid interface between soil particles (Gao and Shao, 2015).…”

Section: Improving the Infiltration Process In Land Surface Modelsmentioning

confidence: 99%

Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling

Vereecken

Weihermüller

Assouline

et al. 2019

Vadose Zone Journal

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Core Ideas Land surface models (LSMs) show a large variety in describing and upscaling infiltration. Soil structural effects on infiltration in LSMs are mostly neglected. New soil databases may help to parameterize infiltration processes in LSMs. Infiltration in soils is a key process that partitions precipitation at the land surface into surface runoff and water that enters the soil profile. We reviewed the basic principles of water infiltration in soils and we analyzed approaches commonly used in land surface models (LSMs) to quantify infiltration as well as its numerical implementation and sensitivity to model parameters. We reviewed methods to upscale infiltration from the point to the field, hillslope, and grid cell scales of LSMs. Despite the progress that has been made, upscaling of local‐scale infiltration processes to the grid scale used in LSMs is still far from being treated rigorously. We still lack a consistent theoretical framework to predict effective fluxes and parameters that control infiltration in LSMs. Our analysis shows that there is a large variety of approaches used to estimate soil hydraulic properties. Novel, highly resolved soil information at higher resolutions than the grid scale of LSMs may help in better quantifying subgrid variability of key infiltration parameters. Currently, only a few LSMs consider the impact of soil structure on soil hydraulic properties. Finally, we identified several processes not yet considered in LSMs that are known to strongly influence infiltration. Especially, the impact of soil structure on infiltration requires further research. To tackle these challenges and integrate current knowledge on soil processes affecting infiltration processes into LSMs, we advocate a stronger exchange and scientific interaction between the soil and the land surface modeling communities.

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Effects of temperature changes on soil hydraulic properties

Cited by 84 publications

References 38 publications

Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils

Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils

The relationship between the unsaturated permeability coefficients (UPC) determined and oxidation-reduction potential (ORP) in the subsurface wastewater infiltration system (SWIS)

Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling

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