Characterization and quantitative evaluation of preferential infiltration in loess, based on a soil column field test

Ma, Jun; Zeng, Runqiang; Yao, Yonghong; Meng, Xiaohong; Zong-lin, Zhang; Hong, Wang; Zhao, Shufen

doi:10.1016/j.catena.2022.106164

Cited by 15 publications

(4 citation statements)

References 53 publications

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“…Nonetheless, other studies have shown that both low-density and high-density fine roots (<1 mm) tend to decrease the saturated permeability coefficient, while thick roots (D > 2 mm) tend to increase the saturated permeability coefficient [53]. Meanwhile, changes in soil pores are positively correlated with the infiltration of soil [54]. However, Bodner [55] explored the effect of thick roots and fine roots on the pore size distribution of plants and found that thick roots produced more pores than fine roots.…”

Section: Discussionmentioning

confidence: 92%

Experimental Investigation of Water Infiltration Law in Loess with Black Locust (Robinia pseudoacacia) Roots

Gu,

Zhang

et al. 2024

Agronomy

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Physical model experiments are increasingly applied in the study of the water infiltration law in loess with roots. In the past, due to differences in study objects and the limitations of measuring techniques, the infiltration law in loess with roots is rarely evaluated by using appropriate indoor physical model experimental data. In order to investigate the law of water infiltration in loess with roots, we designed a new soil column experimental device that can automatically collect data and images. By comparing the soil column experiment data of loess, we analyzed variables in root contents (the ratio of root mass to dry soil mass) and root types. Roots with diameters of 0–2 mm, 2–5 mm, and 5–10 mm are defined as type I, type II, and type III, respectively. It was found that the water infiltration rate, water-holding capacity, and saturated permeability coefficient increase with the increase in root content. In loess containing different root types, the root types were found to improve the rate of water infiltration, water-holding capacity, and saturated permeability coefficient in the soil. The root types were ranked in descending order in terms of their impact: root type II had the highest improvement, followed by root type III, and then root type I. The phenomenon of circumferential flow existed when water infiltrated loess with roots. Root content and root type would affect the radius of circumferential flow, infiltration path, and cross-section. When calculating the saturated permeability coefficient of loess with roots, ignoring the effect of circumferential flow would lead to a higher result.

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Section: Discussionmentioning

confidence: 92%

Experimental Investigation of Water Infiltration Law in Loess with Black Locust (Robinia pseudoacacia) Roots

Gu,

Zhang

et al. 2024

Agronomy

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“…Figure 9 takes slice 71 on the YZ plane as an example to show the two-dimensional preferential flow distribution of the original dry state, the first and the second infiltration activities in the infiltration process in loess. It is shown in Figure 9a that large macropores developed in the original dry loess sample, which create the pathways for the production of preferential flow when it infiltrates, thus providing detailed evidence of the existence of preferential in loess [72].…”

Section: Two-dimensional Preferential Flow Characteristicsmentioning

confidence: 99%

The Seepage Evolution Characteristics in Undisturbed Loess under Dynamic Preferential Flow: New Insights from X-ray Computed Tomography

Li,

et al. 2023

Water

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Preferential flow is widely developed in varieties of voids (such as macropores and fissures) in loess areas, affecting slope hydrology and stability and even leading to geological disasters. However, the model of seepage evolution with dynamic preferential flow is not clear, which obstructs the disclosure of the mechanism of landslides induced by the preferential flow. This study aimed to capture the seepage and occurrence status of water in loess voids, explain the variability characteristics of the loess pore structure, and reveal the seepage evolution model of dynamic preferential flow. Preferential infiltration experiments were conducted by combining X-ray computed tomography (X-ray CT) nondestructive detection with contrast techniques under dynamic seepage conditions. Three-dimensional (3D) visualized reconstruction, digital image correlation (DIC), image processing, and quantitative analyses were performed in AVIZO 2019.1, including two-dimensional (2D) and 3D characteristics of preferential flow distribution and macropore changing, dynamic variation of the porosity, pore number, volume, dip angle, and connectivity. Results showed that (1) preferential flow exists under saturated and unsaturated conditions in loess with strong uniformity and anisotropy; (2) preferential flow not only migrates into existing connected macropores, but also connects the original isolated pores into channels and forms larger percolation groups of contrast medium under the gradually increased high pressure; (3) the seepage develops with the evolution model of ‘preferential flow–piston flow–preferential piston mixture flow–piston flow’ in the dynamic process. The new insights into the characteristics of the seepage evolution in undisturbed loess under dynamic preferential flow will enrich the understanding of loess seepage and provided an important reference for future research on the slope instability of the loess induced by preferential flow.

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“…The soil infiltration will be influenced by slope and soil properties, such as soil moisture, grain size distribution, bulk density (Setiawan et al, 2019), the availability of interconnected pores, and the saturation degree of soil. Not only pore spaces between grains, but cracks in the soil also play an important role as conduits in the infiltration of water into the soil (Ma et al, 2022). Such cracks and macropores in the soil and geological formation are provided by biological activities (Fueki et al, 2012), anthropogenic, weather, and geological structure, such as I J O G joints and faults.…”

Section: Introductionmentioning

confidence: 99%

Soil Infiltration Rate Prediction using Machine Learning Regression Model: A Case Study on Sepinggan River Basin, Balikpapan, Indonesia

Sulistyo,

Fauzi

2023

Indonesian J. Geosci.

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The infiltration rate of soil data is important in a wide range of planning, such as city planning, drainage design, landuse planning, flood prediction, flood disaster mitigation, etc. Collecting data of infiltration through in-site direct measurements is time consuming and costly. Indeed, inferring the infiltration rate using available parameters and the fittest model is needed. The model can shortcut the field measurement to get a predicted accurate infiltration rate that is worthy to support vital planning. This research aims to develop a model of infiltration rate based on initial water contents and grain size of soils. The results are three outstanding models based on the Multiple R Squared, Root Mean Square Error (RMSE), and Mean Average Error (MAE). The implication of the fittest model is reducing the cost and time to get the predicted infiltration rate. The field measurements can be skipped by sampling undisturbed soils and laboratory tests. Keywords: infiltration rate, initial water contents, grain size

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Characterization and quantitative evaluation of preferential infiltration in loess, based on a soil column field test

Cited by 15 publications

References 53 publications

Experimental Investigation of Water Infiltration Law in Loess with Black Locust (Robinia pseudoacacia) Roots

Experimental Investigation of Water Infiltration Law in Loess with Black Locust (Robinia pseudoacacia) Roots

The Seepage Evolution Characteristics in Undisturbed Loess under Dynamic Preferential Flow: New Insights from X-ray Computed Tomography

Soil Infiltration Rate Prediction using Machine Learning Regression Model: A Case Study on Sepinggan River Basin, Balikpapan, Indonesia

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