Characterizing Spatial Variability of Soil Textural Fractions and Fractal Parameters Derived from Particle Size Distributions
References (30)
- et al.
Fractal geometry and geostatistics for describing the field variability of soil aggregation
J Agric Eng Res
(1999) - et al.
Particle-size distribution in soils: A critical study of the fractal model validation
Geoderma
(2006) - et al.
Fractal features of soil particle-size distribution as affected by plant communities in the forested region of Mountain Yimeng, China
Geoderma
(2009) - et al.
On the fractal scaling of soil data. Particle-size distributions
Geoderma
(2003) - et al.
Applications of fractals in soil and tillage research: a review
Soil Till Res
(1995) - et al.
Particle size distributions of some soils from the Umbria Region (Italy): Fractal analysis and numerical modeling
Geoderma
(2008) - et al.
Soil macroaggregate stability under different fallow management systems and cropping intensities in southwestern Nigeria
Geoderma
(1999) - et al.
Simulation and testing of self-similar structures for soil particle-size distributions using iterated function systems
Geoderma
(1999) - et al.
Fractal features of soil particle-size distribution and total soil nitrogen distribution in a typical watershed in the source area of the middle Dan River, China
Catena
(2013) - et al.
High-resolution 3-D mapping of soil texture in Denmark
Soil Sci Soc Am J
(2012)
Characterization of particle-size distribution in soils with a fragmentation model
Soil Sci Soc Am J
Field-scale variability of soil properties in central Iowa soils
Soil Sci Soc Am J
Fractals
Geostatistics for the Environmental Sciences GS+ 5.3.1
Particle-size analysis
Cited by (40)
Inclusion of fractal dimension in four machine learning algorithms improves the prediction accuracy of mean weight diameter of soil
2023, Ecological InformaticsCitation Excerpt :Fractal dimension (D) and multifractal soil parameters are used to characterize soil structure (Filgueira et al., 1999), and they can provide potential indicators of soil health (Tao et al., 2020), erosion, and also other hydrological processes (Martinez et al., 2022). Fractal geometry is used to portray natural bodies and processes with complex shapes and self-comparable qualities (Mohammadi et al., 2019; Wu et al., 1993). The fractal theory describes soil particle size distribution (PSD) and can describe the local shape, size, structure, and role of materials and resemblances from part to whole (Zhao et al., 2017).
Fractal of the Gobi surface sediment components and its variability characteristics
2022, CatenaCitation Excerpt :Currently, research on fractal theory is widely used in land consolidation and utilization (Peng et al., 2014; Liu et al., 2015; Qi et al., 2018), plant characteristics (Cui et al., 2019; Zhao et al., 2006), ecological zone restoration (Li et al., 2015; Li, 2018), and in engineering applications (He et al., 2016; N. Saiedi et al., 2017; Wang, 2014). It has also been shown that the spatial variability of the fractal can reflect the spatial differences in the regional soils (Mohammadi et al., 2019; Shi, 2006). Whether or not the Gobi surface heterogeneity law can be quantitatively characterized by fractal spatial variability, however, has been studied less often.
Estimating particle-size distribution from limited soil texture data: Introducing two new methods
2022, Biosystems EngineeringCitation Excerpt :Soil is a porous medium with various particle-size distributions as well as having irregular shapes and a self-similar structure, hence displaying fractal characteristics (Bai et al., 2020). The fractal dimension is a very useful tool for describing the PSD (Mohammadi, Shabanpour, Mohammadi, & Davatgar, 2019). This property can be calculated by PSD data and is used to predict some important soil properties like saturated and unsaturated hydraulic conductivity (Xu & Dong, 2004; Xu, 2004; Ghahraman & Khoshnood Yazdi, 2012; Moosavi and Sepaskhah, 2012; Hunt, Ghanbarian, & Saville, 2013; Moosavi & Sepaskhah, 2013; Alfaro Soto, Chang, & van Genuchten, 2017; Zhou, Fan, Cheng, & Zhang, 2019), soil moisture retention curve (Huang & Zhang, 2005; Hunt et al., 2013; Zhou et al., 2019), moisture content at permanent wilting point (Ghanbarian-Alavijeh & Millán, 2009), specific surface area (Ersahin, Gunal, Kutlu, Yetgin, & Coban, 2006; Sepaskhah & Tafteh, 2013), and soil erodibility (Ostovari, Moosavi, & Porghasemi, 2020; Ostovari et al., 2022).
Multifractal parameters of soil particle size as key indicators of the soil moisture distribution
2021, Journal of HydrologyCitation Excerpt :De et al. (2008) obtained similar results for different land use types. In addition, it has been shown that the soil PSD is constant over a long time period in each soil layer (Martı et al. 2002, Mohammadi et al. 2019, Montero, 2005). Previous studies have shown that soil PSD had close relationships with the soil organic matter, aggregates, and pores (Wang et al. 2015).
Wind and sand environment and spatial differentiation of sediment in the west desert of Yinshan Mountain in China
2024, Environmental Earth Sciences