GIS-based digital modeling of soil infiltration in calcareous soils

Zou, Cui; Wang, Zesong; Cui, Xianping; Ostovari, Yaser

doi:10.1080/00103624.2020.1791153

Communications in Soil Science and Plant Analysis

2020

DOI: 10.1080/00103624.2020.1791153

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GIS-based digital modeling of soil infiltration in calcareous soils

Cui Zou

Zesong Wang

Xianping Cui

et al.

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“…Hence, the movement of water in the soil, known as infiltration, is a complex process that is closely related to particle size distribution (PSD) and pore size distributions of soil (Ren et al, 2019). The PSD and infiltration process has important effects on the runoff production, soil erosion and degradation (Zou, Wang, Cui, & Ostovari, 2020). Changes in management practices can change soil structure, which in turn can affect how effectively these measures can be implemented (Filgueira, Fournier, Sarli, Aragon, & Rawls, 1999).…”

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Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

Omidvar

2020

European J Soil Science

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Although fractal mathematics has been commonly used to quantify particle size distribution (PSD), limited attention has been paid to the fractal dimension of the infiltration curve (D I ). Therefore, it is necessary to determine whether the D I and fractal dimensions of PSD (D m , D clay , D silt and D sand ) can reflect the infiltration process, and soil erodibility and degradation. Accordingly, this study aimed to provide new information on the quantification of infiltration processes, and soil erodibility and degradation, using D I and D m in the Soorak basin in the northern part of Iran. The soil and infiltration properties were calculated by field and laboratory practices on 46 topsoil samples and 34 infiltrometer double-ring tests. Correlation, regression and redundancy analysis (RDA) were used to identify relationships between the infiltration curve and PSD coordinates with soil and infiltration properties. Results indicated that the D I was significantly linearly correlated with other infiltration curve characteristics, with the correlation coefficient ranging from −0.737 to −0.403 (sig. = 0.000-0.037). However, there was no significant correlation between D I and D m , D clay , D silt and D sand . Different erodibility factors, especially K USLE , had significant relations with D m , D clay , D silt , D sand and D I (p < .01), suggesting that these fractal dimensions are indicators of soil degradation. Other findings indicated that the land use had no significant effect on D I and infiltration properties, whereas K USLE , D m , D clay , D Silt and D Sand were significantly affected by land-use patterns (p < .01). These findings demonstrate that fractal dimensions of PSD and infiltration can be practicable indices to analyse soil degradation under different land-use types. Highlights • How fractal geometry adds to understanding of the infiltration process and soil degradation. • Fractal dimensions of infiltration (D I ) can describe the infiltration process. • Fractal dimensions of soil (D m ) and D I can be used as indicators of the soil erodibility. • Erodibility and fractal properties of soil were significantly affected by land use.

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Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

Omidvar

2020

European J Soil Science

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GIS-based digital modeling of soil infiltration in calcareous soils

Cited by 1 publication

References 25 publications

Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

Fractal analysis of the infiltration curve and soil particle size in a semi‐humid watershed

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