Description and reconstruction of the soil pore space using correlation functions

Gerke, Kirill M.; Karsanina, Marina V.; Скворцова, Е. Б.

doi:10.1134/s1064229312090049

Cited by 48 publications

(23 citation statements)

References 19 publications

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“…Thus, it can be studied in small samples (several centi meters) with a very high resolution (up to hundreds of nanometers) in microtomographs; it can also be stud ied in large samples (up to one meter) with a resolution of up to hundreds of microns in medical tomographs. The qualitative description and combination of data on the structure of porous media obtained at different scales are possible with the use of the methods of sta tistical physics [1]. At the same time, against the back ground of the numerous advantages of computer tomography, the classical method of studying soil thin sections has not lost its importance.…”

Section: Objects and Methodsmentioning

confidence: 99%

Tomographic method of studying soil pore space: Current perspectives and results for some Russian soils

2012

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The methods and results of tomographic soil studies are discussed. A brief history of the develop ment of the tomographic method and its application in soil science are described, and the major results obtained with the use of this method are outlined. An experience of the application of X ray microtomogra phy for studying the structure of undisturbed samples of some Russian soils is also considered. Three dimen sional images of soil aggregates and soil pore space with a resolution of 15.8 µm have been obtained for the upper horizons of gray forest and soddy podzolic soils. On the basis of these data, the merits and demerits of the tomographic method in comparison with the traditional method for studying soil pedality and pore space in thin sections are discussed. Certain advantages of the tomographic method provide good possibilities to study soil processes at a qualitatively new level. Priority directions of the development of tomographic studies in soil science are outlined.

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Section: Objects and Methodsmentioning

confidence: 99%

Tomographic method of studying soil pore space: Current perspectives and results for some Russian soils

2012

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“…In practice, a faster cooling schedule is usually utilized in a form of T ( k )/ T (0)∼ λ k , where λ is the annealing scheduling parameter with a value somewhat smaller than, but close to unity [ 55 , 69 ]. Based on numerous trials and experience in reconstructing different test cases [ 60 , 67 – 68 ], we choose to implement a slower cooling schedule based on the following geometrical progression:…”

Section: Methodsmentioning

confidence: 99%

“…Spatial correlation functions have been used in different disciplines to characterize and reconstruct numerous materials, including gels [ 56 ], sandstones [ 57 – 58 ], stars and galaxies [ 59 ], kerogen porosity in shales [ 60 ], concrete [ 61 ], filters [ 62 – 63 ], nanocomsposites [ 64 – 65 ], and soft matter such as food [ 66 ]. In our preliminary study [ 67 ] we applied spatial correlation functions (with averaged two-point probability computed only in orthogonal directions) for soil reconstructions based on the original Yeong-Torquato method which considers isotropic heterogeneous materials. On the basis of our recent modifications to the Yeong-Torquato method, which involves computing directional correlation functions [ 68 ], we demonstrate it is now possible to characterize complex soils with direction-dependent or anisotropic structures.…”

Section: Introductionmentioning

confidence: 99%

“…On the basis of our recent modifications to the Yeong-Torquato method, which involves computing directional correlation functions [ 68 ], we demonstrate it is now possible to characterize complex soils with direction-dependent or anisotropic structures. The current paper builds on our previous work and is a first-ever demonstration of the predictive capacity of the novel directional spatial correlation functions [ 67 – 68 ] for soil structure quantification and reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Universal Spatial Correlation Functions for Describing and Reconstructing Soil Microstructure

et al. 2015

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Structural features of porous materials such as soil define the majority of its physical properties, including water infiltration and redistribution, multi-phase flow (e.g. simultaneous water/air flow, or gas exchange between biologically active soil root zone and atmosphere) and solute transport. To characterize soil microstructure, conventional soil science uses such metrics as pore size and pore-size distributions and thin section-derived morphological indicators. However, these descriptors provide only limited amount of information about the complex arrangement of soil structure and have limited capability to reconstruct structural features or predict physical properties. We introduce three different spatial correlation functions as a comprehensive tool to characterize soil microstructure: 1) two-point probability functions, 2) linear functions, and 3) two-point cluster functions. This novel approach was tested on thin-sections (2.21×2.21 cm2) representing eight soils with different pore space configurations. The two-point probability and linear correlation functions were subsequently used as a part of simulated annealing optimization procedures to reconstruct soil structure. Comparison of original and reconstructed images was based on morphological characteristics, cluster correlation functions, total number of pores and pore-size distribution. Results showed excellent agreement for soils with isolated pores, but relatively poor correspondence for soils exhibiting dual-porosity features (i.e. superposition of pores and micro-cracks). Insufficient information content in the correlation function sets used for reconstruction may have contributed to the observed discrepancies. Improved reconstructions may be obtained by adding cluster and other correlation functions into reconstruction sets. Correlation functions and the associated stochastic reconstruction algorithms introduced here are universally applicable in soil science, such as for soil classification, pore-scale modelling of soil properties, soil degradation monitoring, and description of spatial dynamics of soil microbial activity.

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“…This fact allowed a lot of research related to soil functional architecture, involving from quantification of hydraulic proprieties, using X-ray tomography technique with digital image processing, (GERKE et al 2012;TRACY et al 2015) and including fluid simulation models (ONODY; POSADAS, 1995; NAKASHIMA; KAMIYA, 2007; LANDRY; KARPYN;AYALA et al 2014;POT et al, 2015;ZHANG;CRAWFORD;YOUNG et al 2016).…”

Section: Introductionmentioning

confidence: 99%

The environment qualities evaluation of a degraded area in recuperation and the drying process of a Brazilian soil using nonconventional methods at micrometric scale

Tseng¹

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O solo é um recurso fundamental no meio ambiente, seu uso sustentável é vital para prover alimentos e consequentemente a continuidade da vida na Terra. No entanto, estado atual desse recurso no mundo encontra-se em condição crítica, logo as medidas de recuperação devem ser adotadas urgentemente, consequentemente a necessidade de métodos adequados para avaliação dessas medidas. O objetivo desse estudo é proporcionar uma avaliação holística sobre a arquitetura do solo em diferentes estados de recuperação, assim como sua interação com fluido no meio ambiente utilizando métodos não convencionais. Logo, foi organizado um pacote de ferramentas que permitam analisar a física solo no âmbito de geometria, morfometria e energia, proporcionando parâmetros físicos que indicam a qualidade física e ambiental; Em seguida esse pacote foi aplicado no estudo de seis tipos de manejos com diferentes estágios de desenvolvimento, envolvendo os parâmetros físicos derivados do pacote, mostrando assim a eficiência das técnicas de recuperação sob diferentes perspectivas;Assim foi realizado também a avaliação da dinâmica da água no solo em uma situação particular utilizando as mesmas ferramentas, proporcionando conhecimentos sobre o essa interação no meio ambiente ao longo do tempo. Finalmente, espera-se com esse trabalho novos olhares sobre esse recurso precioso no meio ambiente. Soil is a fundamental resource in the environment, its sustainable use is vital to food supply and, consequently, life continuity on the Earth. However, the currently status of this resource in the world is critical and, therefore, the need of soil recovery measures and methods to evaluate it is urgent. The aim of this study is to provide a holistic evaluation about soil architecture at different recovery states, as well as its interaction with fluid in the environment by using nonconventional methods. It was organized a tool package that allows to analyze soil physical at geometric, morphometric and energy scope, to show in a more efficient way, which physical parameters indicate the physical and environmental quality. Subsequently, this package was applied to the study of six types of managements in different stages of development by using of physical parameter derived from the package; It was also analyzed the efficiency of recovery techniques under different perspectives. In addition, the soil-water dynamic was evaluated in a particular condition by using the same tools, offering knowledge about this interaction in the environment along the time. Finally, it is expected that this work can bring new insight on preservation and recovery of this environmental resource. Palavras-chaves:

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Description and reconstruction of the soil pore space using correlation functions

Cited by 48 publications

References 19 publications

Tomographic method of studying soil pore space: Current perspectives and results for some Russian soils

Tomographic method of studying soil pore space: Current perspectives and results for some Russian soils

Universal Spatial Correlation Functions for Describing and Reconstructing Soil Microstructure

The environment qualities evaluation of a degraded area in recuperation and the drying process of a Brazilian soil using nonconventional methods at micrometric scale

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