Soil Variability Assessment with Fractal Techniques

Kravchenko, Alexandra; Pachepsky, Y. A.

doi:10.1201/9781420032086.ch17

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…Land consolidation destroys soil structure and substantially reduces spatial autocorrelation of SPP. In addition, Pachepsky and Kravchenko (2004) delineated that this type of soil has no multifractal characteristics in some properties. In our study, ML and AL that had been disturbed by large machinery exhibited good multifractal characteristics, and this was also the case for NR.…”

Section: Application Of Multifractal Analysis In Sppmentioning

confidence: 99%

Effects of restoration modes on the spatial distribution of soil physical properties after land consolidation: a multifractal analysis

Liu

et al. 2021

J. Arid Land

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Soil physical properties (SPP) are considered to be important indices that reflect soil structure, hydrological conditions and soil quality. It is of substantial interest to study the spatial distribution of SPP owing to the high spatial variability caused by land consolidation under various land restoration modes in excavated farmland in the loess hilly area of China. In our study, three land restoration modes were selected including natural restoration land (NR), alfalfa land (AL) and maize land (ML). Soil texture composition, including the contents of clay, silt and sand, field capacity (FC), saturated conductivity (K s ) and bulk density (BD) were determined using a multifractal analysis. SPP were found to possess variable characteristics, although land consolidation destroyed the soil structure and decreased the spatial autocorrelation. Furthermore, SPP varied with land restoration and could be illustrated by the multifractal parameters of D 1 , ∆D, ∆α and ∆f in different modes of land restoration. Owing to multiple compaction from large machinery in the surface soil, soil particles were fine-grained and increased the spatial variability in soil texture composition under all the land restoration modes. Plough numbers and vegetative root characteristics had the most significant impacts on the improvement in SPP, which resulted in the best spatial distribution characteristics of SPP found in ML compared with those in AL and NR. In addition, compared with ML, ∆α values of NR and AL were 4.9-and 3.0-fold that of FC, respectively, and ∆α values of NR and AL were 2.3-and 1.5-fold higher than those of K s , respectively. These results indicate that SPP can be rapidly improved by increasing plough numbers and planting vegetation types after land consolidation. Thus, we conclude that ML is an optimal land restoration mode that results in favorable conditions to rapidly improve SPP.

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Section: Application Of Multifractal Analysis In Sppmentioning

confidence: 99%

Effects of restoration modes on the spatial distribution of soil physical properties after land consolidation: a multifractal analysis

Liu

et al. 2021

J. Arid Land

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“…Liao et al [20] compared the spatial variability of the soil moisture at different sampling stages in two adjacent land use types with the single fractal method, but the use of only one parameter (fractal dimension) cannot represent sufficient information regarding the spatial variability. However, the calculation of multifractal parameters calculated using multifractal theory can describe the characteristic spatial distribution in detail [21]. Therefore, in recent years, the multifractal method has been used widely to study the spatial distribution of soil properties.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution of Soil Water and Salt in a Slightly Salinized Farmland

Liu

et al. 2023

Sustainability

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It is important to study the mechanisms associated with the spatial distribution of soil water and salt to control soil salinization and promote the sustainable development of farmland. Six plots in a slight farmland with different spatial locations were selected to determine the spatial distribution of soil water and salt and their correlation using the multifractal method. Each plot was applied using the grid method (15 m × 15 m, 3600 m2), where each sampling site was located at the center point coordinates. The 0–20 and 20–40 cm soil layers were sampled.The spatial variability of the soil water and salt were 1.41 and 1.73 fold higher in the upstream farmland than in the downstream farmland. The spatial variability of the soil water and salt was significantly correlated. In addition, the spatial variability of the soil water and salt significantly correlated in the 0–20 and 20–40 cm layers. The spatial distribution of both soil water and salt in the entire soil layer had similar characteristics at this sampling scale. Our results provide a theoretical basis to study the interactive mechanisms associated with the distribution of soil water and salt.

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Soil Variability Assessment with Fractal Techniques

Cited by 2 publications

References 34 publications

Effects of restoration modes on the spatial distribution of soil physical properties after land consolidation: a multifractal analysis

Effects of restoration modes on the spatial distribution of soil physical properties after land consolidation: a multifractal analysis

Spatial Distribution of Soil Water and Salt in a Slightly Salinized Farmland

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