Water Retention Characteristics and Soil-Water Characteristic Curve Model of Weak Expansive Soil

Lv, Mengfan; Li, Yonghui; Guo, Yongxing

doi:10.1007/s11204-021-09716-0

Cited by 4 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this saturation region, the Ɵ does not change with the change in the Φ, and the air begins to enter the largest pores. Lv et al, (2021) however, the observed sample prepared by slurry consolidation exhibited a lower air-entry value, faster dehydration rate, and lower residual water content. The capillary region is the intermediate part of the drying curve where the Ɵ drop after the air begin to enter the soil.…”

Section: The Soil-water Characteristic Curve Modelsmentioning

confidence: 78%

Models of Soil Water Characteristics Curves: A Review

Ojo¹,

Maina²

2022

FJS

View full text Add to dashboard Cite

Soil water characteristic curve (SWCC) is very important in the study of unsaturated soil because it represents a soil’s ability to store and release water as it is subjected to various soil suctions. This storage of moisture in soil is paramount in irrigation engineering, as it determines the irrigation scheduling in dryland. This study reviews some SWCC model’s performance to predict the soil from some selected soils in Nigeria from previous work. This previous work contains 7 points between 0 – 1,500 kPa. Seki, which is bimodal, tends to perform better than the rest with R2 value of 0.99. Generally, the bimodal models performed better than the unimodal, due to the flexibility of the curve. However, with the removal of the reference point of 1,000,000kPa (leaving 7 points), all the unimodal models had good performance in the topsoil. Fredlund and Xing performed best and van Genuchten performed poorly in the subsoil. Also, it was observed with the increase in both the organic matter contents and electrical conductivity, the performance of the models decreased. From this review, it is observable that in analysis of 8 or more points and 3 to 7 points Seki’s model and Fredlund and Xing model can be used respectively for further research in the study of dryland soils of Nigeria

show abstract

Section: The Soil-water Characteristic Curve Modelsmentioning

confidence: 78%

Models of Soil Water Characteristics Curves: A Review

Ojo¹,

Maina²

2022

FJS

View full text Add to dashboard Cite

show abstract

“…Additionally, existing research has established a direct relationship between ion concentration changes in pore water solution and the microstructure of bentonite. This alteration in the microstructure of the GCL affects its matric suction, thereby causing corresponding changes in the total suction value [19,25]. The scanning electron microscopy (SEM) image depicted in Figure 5 reveals that the bentonite particles within the GCL undergo a transition from a dispersed structure to an agglomerated structure in response to salinity.…”

Section: 𝜑 = 𝜑 + 𝜑mentioning

confidence: 99%

“…The water retention curve (WRC) describes the relationship between water content and suction in unsaturated soils. The WRC can be used to estimate the properties of soil under unsaturated conditions including permeability, volume change, deformability, and shear strength [16][17][18][19]. The existing literature shows that the influence of density and salt solution concentration has been considered in the study of WRC, and the concentration of porous fluid has a significant influence on the shape of WRC, but most studies of the water retention performance of GCLs are limited to the wetting path [1,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Salinity Effect on the Water Retention Curve of Geosynthetic Clay Liner (GCL) on the Drying Path

Zeng

Wan

et al. 2023

Materials

View full text Add to dashboard Cite

The water retention curve (WRC) of a geosynthetic clay liner (GCL) is influenced by the presence of exchangeable cations in the leachate during changes in water content in a landfill construction. This research aims to investigate the impact of salinity on the WRC of GCL. To measure the WRC of GCL under different sodium chloride (NaCl) concentrations on the drying path, a chilled-mirror dew-point device capable of controlling the GCL’s volume was employed. Additionally, the dry state microstructure of the GCL was examined using electron microscopy. The test outcomes indicate that GCL hydrated with higher salinity has greater suction at the same water content during drying. This influence can be attributed to changes in salinity and the precipitation of NaCl crystals within the bentonite when water evaporates, which in turn affects the bentonite’s microstructure and leads to increased matric suction. By introducing the Fredlund and Xing model and parameter relationship, it is possible to predict the WRC of GCL under salinity effects after measuring the WRC under different salinity conditions on the drying path.

show abstract

“…Coppola et al (2011) found that the average water saturation affects the temporal stability of the spatial distribution of soil moisture in farmland. The spatiotemporal variability of SWCC has been well studied, but these studies have mainly focused on weak expansive soil, calcareous soil, weathered granite residual soil, gravel-mulched fields (Yun-Xue et al 2019;Zhao et al 2019;Lv et al 2021;Shen et al 2021). Little is known about the validity of the concept for Collapsible Loess in the northwestern China.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variability of soil-water characteristic curve model parameters of Lanzhou collapsible loess

Zhao

Liu

et al. 2021

Water Supply

View full text Add to dashboard Cite

The spatiotemporal variation of the model parameters of the soil-water characteristic curve (SWCC) reflect the soil water holding capacity and soil pore distribution state. It is an integral part of interdisciplinary disciplines such as soil hydrodynamics and ecohydrology. The authors selected the optimal SWCC model for the Lanzhou collapsible loess, used classical statistics and geostatistics methods studied the spatiotemporal variability of the SWCC model parameters, and used the comprehensive comparison of the mean relative differences (MRD), standard deviations (SDRD) and an index of temporal stability (ITS) determined the representativeness measuring point. The results showed that the SWCC parameters α was medium variability in the 0–30 cm soil layer, n and θs were of low variability, the spatial distribution of the parameters of different soil layers was consistent. Migration direction prediction of θs was very similar in each layer, α, n and θs were all strongly significantly correlated positively. Moreover, the determination coefficient of representative measuring point 16 had the highest prediction accuracy for the measured values of SWCC. The results of this paper can be used as a simple method to predict SWCC and provide theoretical guidance for soil water management and soil collapse erosion monitoring in collapsible loess area. HIGHLIGHT Presented a study of the temporal stability and variability of SWCC in the Lanzhou collapsible loess, using the comprehensive comparison of the Mean relative differences (MRD), standard deviations (SDRD) and an index of temporal stability (ITS), and determined the representativeness measuring point.

show abstract

Water Retention Characteristics and Soil-Water Characteristic Curve Model of Weak Expansive Soil

Cited by 4 publications

References 8 publications

Models of Soil Water Characteristics Curves: A Review

Models of Soil Water Characteristics Curves: A Review

Modeling the Salinity Effect on the Water Retention Curve of Geosynthetic Clay Liner (GCL) on the Drying Path

Spatiotemporal variability of soil-water characteristic curve model parameters of Lanzhou collapsible loess

Contact Info

Product

Resources

About