The Impact of Multiple Freeze–Thaw Cycles on the Microstructure of Aggregates from a Soddy-Podzolic Soil: A Microtomographic Analysis

Скворцова, Е. Б.; Шеин, Е. В.; Абросимов, К. Н.; Романенко, К. А.; Yudina, Anna; Klyueva, Violetta; Хайдапова, Д. Д.; Рогов, В. В.

doi:10.1134/s1064229318020102

Cited by 32 publications

(15 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e other damages the soil structure and its physicomechanical properties, thus increasing the operation and maintenance costs and reducing the service life of buildings thereon [3]. Scholars have conducted a great deal of research on the effects of extensive freeze-thaw action on the engineering properties of soil from many aspects including soil physical properties, water-physical properties, and mechanical properties [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Scholars have extensively examined the variation rules of microstructures of different types of soil including silty clay, soft clay, grassy soil, yellow soil, and various kinds of improved soil. Skvortsova et al employed three-dimensional (3D) X-ray computer scanning system for analyzing changes in microstructures and pore-diameter changes in grassy soil after freeze-thaw cycles [4]. Based on static and dynamic triaxial test results, Cui et al investigated the mechanical properties of silty clay and qualitatively analyzed SEM images of silty clay before and after freeze-thaw cycles; moreover, they extracted the mechanical properties of silty clay and examined the effects of freeze-thaw on silty clay [5].Özgan et al investigated the change of fundamental properties of low plastic clay before and after freezing and thawing and analyzed the soil's microstructure using SEM [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Changing Rules of Silty Clay’s Pore Structure under Freeze-Thaw Cycles

Chen

et al. 2019

Advances in Civil Engineering

View full text Add to dashboard Cite

For engineering construction in seasonally frozen regions, when the soil below the frost depth without freeze-thaw effect was exposed or reclaimed after excavation, long-term freeze-thaw will change soil skeleton and porous characteristics, thereby leading to the deterioration of soil engineering properties. This study focused on seasonally frozen silty clay from Changchun, China, and conducted different freeze-thaw cyclic tests on remoulded soil samples, during which both freezing temperature and the number of freeze-thaw cycles were varied. The related data of pore structures under different test conditions were acquired through mercury injection porosimetry (MIP) tests, and the effects of the number of freeze-thaw cycles and freezing temperature on the change of the soil’s pore structure were investigated in detail in combination with fractal theory. The variation rules of pores in the soil after freeze-thaw cycles were investigated from a microperspective so as to essentially analyze the mechanism of the deteriorating effect of freeze-thaw on a soil’s engineering properties.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Changing Rules of Silty Clay’s Pore Structure under Freeze-Thaw Cycles

Chen

et al. 2019

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Until recently the imaging of soil structure was dominated by thin sectioning and scanning electron microscopy, and in many ways, these techniques are still relevant today (Bryk, 2018; Skvortsova & Kalinina, 2004) for microbial activity studies and chemical/mineral analysis (Hapca, Wang, Otten, Wilson, & Baveye, 2011). The current major driver of 3D structural studies is XCT methodology (Cnudde et al, 2006; Gerke, Skvortsova, & Korost, 2012), as it allows non‐destructive 3D information to be obtained on a number of scales ranging from ∼1 μm resolution for microtomography scanners (Kravchenko, Negassa, Guber, & Rivers, 2015; Skvortsova et al, 2016; Skvortsova et al, 2018) up to ∼100–300 μm for medical devices or industrial macrotomography scanners (Koestel & Larsbo, 2014; Li and Hu et al, 2019). Due to the inherently multiscale hierarchical nature of the Earth's numerous porous media (Dimitriadis et al, 2019), including soil, none of these methods alone is enough to achieve the ultimate goal of creating a 3D digital structure model because of the sample size versus imaging resolution trade‐off (Gerke, Karsanina, & Mallants, 2015; Rabot, Wiesmeier, Schlüter, & Vogel, 2018).…”

Section: Introductionmentioning

confidence: 99%

Compressing soil structural information into parameterized correlation functions

Karsanina

Lavrukhin

Fomin

et al. 2020

European J Soil Science

View full text Add to dashboard Cite

Soil structure is highly interconnected to all of its properties and functions. The structure for most soils is very complex and hierarchical in nature. Considering the fact that a truly multiscale digital 3D soil structure model for a single genetic horizon, even with the resolution not finer than 1 μm, will contain an enormous amount (approx. up to 1015 voxels or even more) of data, it is an appealing idea to compress this structural information. Effective management and pore‐scale simulations based on such datasets do not seem feasible at the moment. Another approach would be to reduce the complexity to a limited but meaningful set of characteristics/parameters, for example using universal correlation functions (CFs). In this study, we successfully compressed the soil structural information in the form of 3D binary images into a set of correlation functions, each of which is described using only six parameters. We used four different correlation functions (two‐point probability, lineal, cluster and surface‐surface functions) computed in three orthogonal directions for the pores. The methodology was applied to 16 different soil 3D images obtained using X‐ray microtomography (XCT) and segmented into pores and solids. All computed CFs were fitted using a superposition of three basis functions. In other words, we reduced 900–13003 voxel images into sets of 72 parameters. Fitting of computed correlation functions and reducing them to a number of parameters is a powerful way of compressing soil structural information. However, the analysis based on parameters alone is different from the one where correlation functions are used. This problem can be negated by uncompressing the correlation functions back from these parameters before any application. This way, correlation functions are not only a way to compress the soil structural information with minimal loss, but also may be used to solve a number of additional problems, including the comparison and differentiation of soil samples, location of elementary volumes, effective physical property prediction using machine learning, and fusion of hierarchical soil structures. Highlights The 900–13003 voxels soil XCT scans were compressed into sets of 72 parameters The use of fitted parameters alone may result in the inconsistent analysis of the soil structures Each soil structure was uniquely described by a set of directional correlation functions Correlation functions were found to be sensitive to the structural difference of all the studied soils

show abstract

“…As an indicator of soil health and fertility, soil aggregates harbour a range of niches (Smith, Marín‐Spiotta, de Graaff, & Balser, 2014) for diverse soil microorganisms and communities (Nardi, 2009; Skvortsova et al, 2018; Totsche et al, 2018), and for maintaining and exchanging plant nutrients (Chenu, Stotzky, Huang, Bollag, & Senesi, 2002). Soil microbial communities mediate the biogeochemical processes that are central to ecosystem functioning (like carbon cycling), whereas their compositions and diversity are sensitive to disturbances, such as Cu treatment (Nannipieri et al, 2003) and desertification (Y. Li et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Change of soil physicochemical properties, bacterial community and aggregation during desertification of grasslands in the Tibetan Plateau

Zhang

Zhong²,

Zhao

et al. 2020

European J Soil Science

View full text Add to dashboard Cite

The aim of this study was to evaluate the relationships among changes in the soil microstructure, soil physicochemical traits and microbial communities during desertification. Soil samples were collected from grasslands at different stages of desertification, from an area of the Tibetan Plateau. Soil aggregate fractionation and soil physicochemical properties were analysed using standard methods, and the abundance and diversity of bacteria associated with different aggregate fractions were estimated by quantitative PCR and Illumina Miseq amplicon sequencing. Sequential changes in response to desertification stages were detected in the analysed features. For instance, soil nutrients, microbial biomass C and N, water content and pH initially changed during the light desertification stage; then, the soil aggregation decreased during the intermediate stages; and finally, bacterial abundance and diversity decreased during heavy and severe desertification stages. During grassland desertification, vegetation coverage positively influenced soil aggregation by affecting soil properties (e.g., pH and SOC), whereas bacterial communities in FMi (free microaggregates) and FSC (free silt and clay) were negatively related to soil aggregation. This study reports novel information concerning the desertification process and the sequential modification of soil traits and interactions among soil physical properties (aggregate composition), soil nutrients and the soil microbial community in the grasslands of the Tibetan Plateau. Highlights Bacterial community was more sensitive in macroaggregates than in microaggregates. Composition of small macroaggregates and associated bacteria changed during desertification. Bacterial community in microaggregates, silt and clay negatively affected aggregation. Vegetation coverage affected aggregation by changing soil traits and bacterial community.

show abstract

The Impact of Multiple Freeze–Thaw Cycles on the Microstructure of Aggregates from a Soddy-Podzolic Soil: A Microtomographic Analysis

Cited by 32 publications

References 9 publications

Study on the Changing Rules of Silty Clay’s Pore Structure under Freeze-Thaw Cycles

Study on the Changing Rules of Silty Clay’s Pore Structure under Freeze-Thaw Cycles

Compressing soil structural information into parameterized correlation functions

Change of soil physicochemical properties, bacterial community and aggregation during desertification of grasslands in the Tibetan Plateau

Contact Info

Product

Resources

About