Estimating parameters for the Van Genuchten model from soil physical-chemical properties of undisturbed loess-soil

Qin, Weiping; Fan, Guisheng

doi:10.1007/s12145-020-00503-3

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…It was represented by a soil water retention curve (SWRC). The van Genuchten model, which is the most widely used SWRC model, was used to represent this relationship [ 28 , 29 ]. The model is represented by Equation (1) as follows [ 30 ]:

where θ is the volumetric water content (m 3 /m 3 ), θ r is the residual water content (m 3 /m 3 ), θ s is the saturated water content (m 3 /m 3 ), h is the water pressure (kPa), α is a scaling parameter that is inversely proportional to mean pore diameter (cm −1 ), n is the soil water characteristic curve index (shape parameter of the curve), and m = 1 − 1/n.…”

Section: Methodsmentioning

confidence: 99%

Water saving rice cultivation using sheet-pipe subsurface irrigation

Arif,

Saptomo,

Setiawan

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Water saving rice cultivation using sheet-pipe subsurface irrigation

Arif,

Saptomo,

Setiawan

et al. 2024

Heliyon

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“…The VG model can better characterize the SWRC of different textured soils and has high simulation accuracy [31]. The curve simulation used the VG model in the RETC software 6.02 [32].…”

Section: Swrc Modelmentioning

confidence: 99%

Thermal Effects on the Soil Water Retention Curves and Hydraulic Properties of Benggang Soil in Southern China

Yang,

Zhao

et al. 2024

Water

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Soil hydraulic properties significantly affect the occurrence and development of collapsing gully walls. The effect of temperature on the hydraulic properties of soil in collapsing gully walls remains unclear. In this study, the hydraulic properties of the red soil layer, the sandy soil layer and the detritus layer in a collapsing gully wall were investigated using the filter paper method, and the soil water retention curves of the different soil layers at 25 and 40 °C were determined. The aim of this study was to investigate the impact of temperature on the soil hydraulic properties of different soil layers in collapsing gully walls. The study found that when the water content in the red soil layer and sandy soil layer exceeded 20% and in the detritus layer exceeded 10%, the soil’s matric suction significantly decreased as the temperature increased from 25 to 40 °C. Additionally, the parameters of θs, α, n and m all exhibited a decreasing trend, and the soil water content in the detritus layer was primarily influenced by the temperature change, which resulted in a decrease of 38.10%. The unsaturated hydraulic conductivity of the detritus layer exhibited higher values than that of the sandy layer and red soil layer under identical temperature conditions. Moreover, the unsaturated hydraulic conductivity of the red soil layer, sandy soil layer and detritus layer increased with increasing temperature. It was observed that the unsaturated hydraulic conductivity of the detritus layer increased by 0.18 cm h−1 at a soil water content of 44%. This increase in conductivity was more pronounced than the corresponding changes in the red soil layer and sandy soil layer. An elevated temperature caused the water-holding capacity of the different soil layers of the collapsing gully wall to decrease and the unsaturated hydraulic conductivity to increase. However, the influence of the clay particle content within the soil of the collapsing gully wall rendered the temperature effect more distinct. Therefore, the destabilizing deformation of the soil in the collapsing gully wall during the summer under high temperatures and precipitation may have played a key role in its collapse.

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Prediction model of soil water infiltration under moistube irrigation

Li,

Shen

2024

Irrigation and Drainage

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As a new type of underground water‐saving irrigation method, moistube irrigation has great potential for promotion and development. However, the multi‐factor interaction influence and water infiltration prediction model of soil water infiltration under moistube irrigation need to be improved. This paper aims to obtain soil water infiltration data for different bulk densities (1.2, 1.3 and 1.4 g/cm3) and textures (loam, sandy loam and clay loam) under different pressure heads (1, 1.5 and 2 m) through an indoor moistube irrigation soil water infiltration test. By analysing multiple factors affecting soil water infiltration under moistube irrigation, the calculation method was determined with the initial soil moisture content, pressure head, bulk density and texture as the input variables and the Kostiakov model parameters as the output variables. Finally, the method of optimizing the back propagation (BP) neural network by a genetic algorithm (GA) was used to establish the Kostiakov prediction model of soil moisture in moistube irrigation, and the model was verified with analytics. The results showed that the Kostiakov prediction model based on GA‐BP had high accuracy and good consistency. The research results provide more practical proofs and perfect theoretical supplements for the study of soil water infiltration under moistube irrigation.

show abstract

Estimating parameters for the Van Genuchten model from soil physical-chemical properties of undisturbed loess-soil

Cited by 7 publications

References 32 publications

Water saving rice cultivation using sheet-pipe subsurface irrigation

Water saving rice cultivation using sheet-pipe subsurface irrigation

Thermal Effects on the Soil Water Retention Curves and Hydraulic Properties of Benggang Soil in Southern China

Prediction model of soil water infiltration under moistube irrigation

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