Evaluating fractal dimension of the soil particle size distributions and soil water retention curve obtained from soil texture components

Mahdi, Chari Mohammad; Ghaleno, Mohammad Reza Dahmardeh

doi:10.1080/03650340.2019.1686140

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…For this, Xu et al [2 gested a classification of soil properties with a low variability (CV < 10%) and high bility (CV > 90%). All soil properties showed a moderate variability except pH (T The D ranged from 2.851 to 2.690 with a mean of 2.916, which, for calcareous soils is consistent with the results of Mahdi and Ghaleno [10], Omidvar [11], and Moham al. [1].…”

Section: Description Of Soil Propertiessupporting

confidence: 89%

“…All soil properties showed a moderate variability except pH (Table 1). The D ranged from 2.851 to 2.690 with a mean of 2.916, which, for calcareous soils in Iran, is consistent with the results of Mahdi and Ghaleno [10], Omidvar [11], and Mohamadi et al [1].…”

Section: Description Of Soil Propertiessupporting

confidence: 87%

“…Tyler and Wheatcraft [7] derived an accurate mass-based distribution model to predict the PSD fractal dimensions and explained the limitations of the fractal concept and its applications to soil PSD. The fractal dimension has been evaluated for identifying soil hydraulic properties, sometimes coupled with remote sensing and image processing, as well as conducting mathematical analyses of soil properties [5,[8][9][10][11]. In addition, the D has been evaluated as an indicator of land degradation and soil sensitivity to erosion factors [12][13][14], soil salinity, soil alkalinity, and solute transport in soils [5,[15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Fractal Features of Soil Particles as an Indicator of Land Degradation under Different Types of Land Use at the Watershed Scale in Southern Iran

Tahmoures

Honarbakhsh

Afzali

et al. 2022

Land

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Soil particle-size distribution (PSD) is an important soil feature that is associated with soil erosion, soil fertility, and soil physical and chemical properties. However, very few studies have been carried out to investigate soil degradation using the fractal dimension (D) of the PSD of soils from different land-use types in the calcareous soil of Iran. For this study, 120 soil samples (0–20 cm) were collected from different land-use types in the Fars Province, and various basic soil properties such as soil organic matter (SOM), soil texture fractions, calcium carbonate (CaCO3), pH, and cation-exchange capacity (CEC) were measured. The PSD of the soil samples was determined using the international classification system for soil size fraction, and the D of the PSD was calculated for all soils. The results of this study show that D is significantly correlated with clay content (r = 0.93) followed by sand content (r = −0.54) and CEC (r = 0.51). The mean D values of the forest areas (D = 2.931), with a SOM content of 2.1%, are significantly higher than those of the agricultural land (D = 2.905 and SOM = 1.6%) and pastures (D = 2.910 and SOM = 1.6%), indicating that fine soil particles, particularly clay, have been preserved in forest soils but lost in agricultural and pasture soils. We conclude that agricultural land has experienced significantly higher levels of soil erosion than forest areas.

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Section: Description Of Soil Propertiessupporting

confidence: 89%

Section: Description Of Soil Propertiessupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

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Fractal Features of Soil Particles as an Indicator of Land Degradation under Different Types of Land Use at the Watershed Scale in Southern Iran

Tahmoures

Honarbakhsh

Afzali

et al. 2022

Land

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Relationship between soil structure and hydrological properties of the active layer in the permafrost region of the Qinghai–Tibet Plateau based on fractal theory

Lv,

Wang,

et al. 2024

CATENA

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Fractal dimension of particle-size distribution and their relationships with alkalinity properties of soils in the western Songnen Plain, China

Bai

Qin

et al. 2020

Sci Rep

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The purpose of this study was to identify the fractal dimension and their relationships with alkalinity properties of soils, and to evaluate the potential of fractal dimension as an indicator of alkalinity properties of soil. Six soils with an increasing salinity (electrical conductivity was 0.09, 0.18, 0.62, 0.78, 1.57 and 1.99 dS m−1, respectively) were selected from the western part of the Songnen Plain (China). Salt content, exchangeable sodium percentage, sodium adsorption ratio and other properties of the soils were determined and the soil particle-size distribution (0–2000 μm) was measured using a laser diffraction particle size analyser. Our results show that the overall fractal dimension of the selected soils ranged from 2.35 to 2.60. A linear regression analysis showed a significant negative correlation between fractal dimension and the amount of coarse sand and fine sand (r = − 0.5452, P < 0.05 and r = − 0.8641, P < 0.01, respectively), and a significant positive correlation with silt and clay (r = 0.9726, P < 0.01 and r = 0.9526, P < 0.01, respectively). Thus, soils with higher silt and clay content have higher fractal dimension values. Strong linear relationships between fractal dimension and salt content (P < 0.05), in particular a very significant positive relationship with HCO3− (P < 0.01), also exist. It is therefore possible to conclude that a soil’s fractal dimension could serve as a potential indicator of soil alkalization and the variability in alkaline soil texture.

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Evaluating fractal dimension of the soil particle size distributions and soil water retention curve obtained from soil texture components

Cited by 6 publications

References 21 publications

Fractal Features of Soil Particles as an Indicator of Land Degradation under Different Types of Land Use at the Watershed Scale in Southern Iran

Fractal Features of Soil Particles as an Indicator of Land Degradation under Different Types of Land Use at the Watershed Scale in Southern Iran

Relationship between soil structure and hydrological properties of the active layer in the permafrost region of the Qinghai–Tibet Plateau based on fractal theory

Fractal dimension of particle-size distribution and their relationships with alkalinity properties of soils in the western Songnen Plain, China

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