Modelling soil hydraulic properties with an improved pore‐solid fractal (PSF) model through image analysis

Sun, Xiaolong; She, Dongli; Wang, Hongde; Fei, Yuanhang; Gao, Lei

doi:10.1111/ejss.13156

Cited by 4 publications

(4 citation statements)

References 57 publications

(64 reference statements)

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“…The pore dispersion and low pore connectivity density of coastal saline soils may limit water infiltration (Sun et al, 2022). In this study, the addition of wheat straw biochar (350–550°C, 2% rate) increased the soil pore connectivity (Figure 3), in accordance with previous studies (An et al, 2022; He et al, 2023), and soil K s increased (Table S1).…”

Section: Discussionmentioning

confidence: 99%

“…Second, the images were smoothed and filtered using a median filter to reduce noise. The images were subsequently segmented using a manual threshold segmentation method (Sun et al, 2022). The original and processed images were carefully compared to obtain binary images of the soil matrix and pores.…”

Section: Methodsmentioning

confidence: 99%

“…To date, several studies have shown the critical role of biochar in the soil structure, including soil aggregates and microstructure (An et al, 2022; Islam et al, 2021; Wang et al, 2021); however, information regarding how biochar affects the soil structure has mainly been obtained from short‐term (less than 2 years) experiments (Baiamonte et al, 2019; Fu et al, 2019). Furthermore, few studies have focused on microstructure evolution that has changed along with biochar and PAM, especially in saline soils (Amini et al, 2016; Sun et al, 2022). As a consequence, further studies are essential in understanding how biochar and PAM influence saline soil structure, particularly on long‐term scales.…”

Section: Introductionmentioning

confidence: 99%

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Roles of soil amendments in the water and salt transport of coastal saline soils through regulation of microstructure

Fei,

She,

et al. 2024

Land Degrad Dev

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Increasing scientific knowledge on the improvement of coastal saline soils is critical for spatially expanding coastal development. Biochar and polyacrylamide (PAM) are popular soil amendments, however, it remains unclear how they affect water and salt transport by regulating soil microstructure characteristics. In this study, we conducted a five‐year rice barrel trial and investigated the changes in the aggregates and microstructure of saline soils after adding biochar with three different application rates (B1 = 0%, B2 = 2%, and B3 = 5%, mass ratio) and PAM with three different application rates (P1 = 0%, P2 = 0.4‰, and P3 = 1.0‰, mass ratio), and simulated the water and salt transport. Results showed that at B1 and B2 treatments, soil μ‐CT porosity in 2020 increased by 89.8% and 208.0%, respectively, with respect to that in 2016. The development of soil mesopore structure was promoted at B2 treatments, whereas the P2 and P3 treatments promoted the development of the soil macrostructure. Compared with those of the blank control, soil internal mean water flow rate increased by 22.2% at B2 treatments and 69.2% at P2 treatments, respectively. However, their increases were less pronounced at B3 treatments and the water flow rate decreased by 50.5% at P3 treatments. It might be reasonably attributed to the reason that porous biochar helped the formation of soil pore structure while an excessive amount of biochar blocked soil pores. Furthermore, PAM amendment helped to form soil aggregates while an excessive amount of viscous PAM might block soil pores or form a viscous layer. The time corresponding to the maximum salt concentration was negatively correlated with soil μ‐CT porosity (R2 = 0.27) and pore connectivity density (R2 = 0.29). Our findings indicate that appropriate amounts of biochar and PAM can help improve saline soil structure in coastal areas, improve their hydraulic properties, and alleviate salt stress.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Roles of soil amendments in the water and salt transport of coastal saline soils through regulation of microstructure

Fei,

She,

et al. 2024

Land Degrad Dev

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“…The pore fractal dimension refers to the size and development degree of pore channels, indicating the distribution characteristics of soil pores [21]. In the process of seepage failure in porous media, movable fine particles are continuously lost from the pore channels, and physical and mechanical parameters such as hydraulic conductivity, porosity, and the nonuniformity coefficient change, resulting in changes to the fractal dimension [22][23][24][25]. Studying the fractal characteristics of porous soil seepage and predicting and controlling the formation and development of seepage failure are significance for the long-term and safe operation of dam engineering.…”

Section: Introductionmentioning

confidence: 99%

Seepage–Fractal Model of Embankment Soil and Its Application

et al. 2022

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Over time and across space, the hydraulic conductivity, fractal dimension, and porosity of embankment soil have strong randomness, which makes analyzing seepage fields difficult, affecting embankment risk analysis and early disaster warning. This strong randomness limits the application of fractal theory in embankment engineering and sometimes keeps it in the laboratory stage. Based on the capillary model of porous soil, an analytical formula of the fractal relationship between hydraulic conductivity and fractal dimension is derived herein. It is proposed that the influencing factors of hydraulic conductivity of embankment soil mainly include the capillary aperture, fractal dimension, and fluid viscosity coefficient. Based on random field theory and combined with the embankment parameters of Shijiu Lake, hydraulic conductivity is discretized, and then the soil fractal dimension is approximately solved to reveal the internal relationship between hydraulic gradient, fractal dimension, and hydraulic conductivity. The results show that an increased fractal dimension will reduce the connectivity of soil pores in a single direction, increase the hydraulic gradient, and reduce the hydraulic conductivity. A decreased fractal dimension will lead to consistency of seepage channels in the soil, increased hydraulic conductivity, and decreased hydraulic gradient.

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Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas

Bashir,

Bangroo,

Shafai

et al. 2024

J Soils Sediments

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Purpose Particle size distribution (PSD) assessment, which affects all physical, chemical, biological, mineralogical, and geological properties of soil, is crucial for maintaining soil sustainability. It plays a vital role in ensuring appropriate land use, fertilizer management, crop selection, and conservation practices, especially in fragile soils such as those of the North-Western Himalayas. Materials and methods In this study, the performance of eleven mathematical and three Machine Learning (ML) models used in the past was compared to investigate PSD modeling of different soils from the North-Western Himalayan region, considering that an appropriate model must fit all PSD data. Results and discussion Our study focuses on the significance of evaluating the goodness of fit in particle size distribution modeling using the coefficient of determination (R2adj = 0.79 to 0.45), the Akaike information criterion (AIC = 67 to 184), and the root mean square error (RMSE = 0.01 to 0.09). The Fredlund, Weibull, and Rosin Rammler models exhibited the best fit for all samples, while the performance of the Gompertz, S-Curve, and Van Genutchen models was poor. Of the three ML models tested, the Random Forest model performed the best (R2 = 0.99), and the SVM model was the lowest (R2 = 0.95). Thus, the PSD of the soil can be best predicted by ML approaches, especially by the Random Forest model. Conclusion The Fredlund model exhibited the best fit among mathematical models while random forest performed best among the machine learning models. As the number of parameters in the model increased better was the accuracy.

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Modelling soil hydraulic properties with an improved pore‐solid fractal (PSF) model through image analysis

Cited by 4 publications

References 57 publications

Roles of soil amendments in the water and salt transport of coastal saline soils through regulation of microstructure

Roles of soil amendments in the water and salt transport of coastal saline soils through regulation of microstructure

Seepage–Fractal Model of Embankment Soil and Its Application

Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas

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