Kirill M. Gerke

Schmidt Institute of Physics of the Earth

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Marina V. Karsanina

Schmidt Institute of Physics of the Earth

ДВ

Д. В. Корост

Lomonosov Moscow State University

Dirk Mallants

Commonwealth Scientific and Industrial Research Organisation

КН

К. Н. Абросимов

V.V. Dokuchaev Soil Science Institute

ЕБ

Е. Б. Скворцова

Novosibirsk State Technical University

Timofey O. Sizonenko

Institute of Geosphere Dynamics

КА

К. А. Романенко

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Efim V. Lavrukhin

Moscow State University

Dmitry Fomin

Expro (United Kingdom)

Aleksey Khlyupin

Schmidt Institute of Physics of the Earth

Cooperative Institutions

Russian Academy of Sciences

Lomonosov Moscow State University

V.V. Dokuchaev Soil Science Institute

Schmidt Institute of Physics of the Earth

Moscow State University

Moscow Institute of Physics and Technology

Commonwealth Scientific and Industrial Research Organisation

CSIRO Land and Water

Persian Gulf University

University of Melbourne

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Soil hydraulic properties and REV study using X-ray microtomography and pore-scale modelling: saturated hydraulic conductivity

EGU General Assembly Conference Abstracts (2016)

Kirill M. Gerke Siarhei Khirevich Timofey O. Sizonenko Marina V. Karsanina А. Б. Умарова

X-ray microtomography

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Citations (0)

Discrete element modeling of aggregate shape and internal structure effects on Weibull distribution of tensile strength

Soil and Tillage Research (2022)

Luis Alfredo Pires Barbosa Kirill M. Gerke Lars J. Munkholm Thomas Keller Horst H. Gerke

Weibull modulus

10.1016/j.still.2022.105341

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Citations (14)

Soil pore structure dynamics under steady-state wetting-drying cycle

Geoderma (2023)

Dmitry Fomin Anna Yudina К. А. Романенко К. Н. Абросимов Marina V. Karsanina

The soil pore space is an arena for processes responsible for numerous critical soil functions. We sampled 15 soil samples from 3 horizons (A, E, Bt) and performed a detailed X-ray microtomography (XCT) imaging study of the full wetting-drying (W-D) curve. This way, we revealed the dynamics of soil pore structure under slow water changes for Albic Retisols. In total, our analysis is based on 135 3D tomography scans (9 soil moisture points for each sample). Using the obtained structural information in the form of binary pore-solid segmentations, we were able not only to visualize structural dynamics (which showed significant changes within the soil at ∼10 µm – 3 mm pore sizes range) but also computed major classical morphological metrics. The analysis of these parameters and conceptual model of structural behavior revealed that after the W-D cycle the studied soil degraded in general. This is contrary to the prevailing previous findings for mainly compacted soils where W-D cycles led to structural improvements. We discussed the major implications of these findings and outlined a possibility to deepen our understanding of soil structure-function relationships, including dynamic hydraulic soil properties and 3D soil structure digital model.

Soil structure

10.1016/j.geoderma.2023.116401

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Citations (34)

Universal Spatial Correlation Functions for Describing and Reconstructing Soil Microstructure

PLoS ONE (2015)

Marina V. Karsanina Kirill M. Gerke Е. Б. Скворцова Dirk Mallants

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.

Soil structure

10.1371/journal.pone.0126515

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Citations (104)

Modelling of soil mechanical stability and hydraulic permeability of the interface between coated biopore and matrix pore regions

Geoderma (2021)

Luis Alfredo Pires Barbosa Kirill M. Gerke Horst H. Gerke

Cohesion (chemistry)

Macropore

10.1016/j.geoderma.2021.115673

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Citations (13)

Stationary Stokes solver for single-phase flow in porous media: A blastingly fast solution based on Algebraic Multigrid Method using GPU

Advances in Water Resources (2022)

Nikolay M. Evstigneev O. I. Ryabkov Kirill M. Gerke

Solver

Multigrid method

10.1016/j.advwatres.2022.104340

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Citations (21)

Assessing the fidelity of neural network-based segmentation of soil XCT images based on pore-scale modelling of saturated flow properties

Soil and Tillage Research (2021)

Efim V. Lavrukhin Kirill M. Gerke К. А. Романенко К. Н. Абросимов Marina V. Karsanina

Ground truth

10.1016/j.still.2021.104942

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Citations (32)

Preferential flow mechanisms identified from staining experiments in forested hillslopes

Hydrological Processes (2015)

Kirill M. Gerke Roy C. Sidle Dirk Mallants

Abstract Field staining experiments in five different plots at two sites in Japan (Okaya in Nagano Prefecture and Konohara in Mie Prefecture) were undertaken to improve understanding of subsurface stormflow runoff within organic layers of natural forested hillslopes. This type of shallow lateral subsurface flow, specifically referred to as biomat flow, was observed only at the Okaya site based on staining experiments conducted under controlled water application rates. When the same irrigation rate (50–100 mm h −1 ) was applied to the Konohara site, overland flow without a significant shallow subsurface component was the dominant flow mechanism. Even in gently sloping (15–20°) forest soils at the Okaya site, biomat flow was responsible for lateral dye transport over much longer distances than subsurface flow in the matrix of mineral soil layers. Based on analysis of staining pattern images observed in the Okaya site, we conclude that (i) the organic biomat layer could be divided into two sub‐layers of different structure, (ii) biomat flow transported the dye tracer longer distances than subsurface flow in the matrix and (iii) the biomat layer topography affected biomat flow by generating preferential flowpaths and subsequent percolation into the deeper soil. Based on field experimental results and pore‐scale consideration of water infiltration into pores of soils with varying wettability properties, we hypothesized and developed a conceptual model for two key biomat flow mechanisms. The first mechanism considers lateral subsurface flow because of a permeability contrast between the much more porous and hence permeable biomat layer and the underlying mineral soil. The second mechanism involves a hydrophobic soil layer between the biomat and the underlying mineral soil. Flow across the hydrophobic layer is believed to occur when a threshold pore pressure is exceeded, i.e. as a result of a perched water table within the biomat layer. Lower pore pressures are needed to initiate flow when preferential flow paths exist, which are less hydrophobic than the surrounding organic layers. Numerical models of catchment hydrology should include lateral biomat flow when such layers are present in hillslope soils, in addition to typical subsurface flow within the soil matrix. Copyright © 2015 John Wiley & Sons, Ltd.

Subsurface Flow

Infiltration (HVAC)

Soil horizon

10.1002/hyp.10468

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Citations (69)

A Generic Method for Predicting Environmental Concentrations of Hydraulic Fracturing Chemicals in Soil and Shallow Groundwater

Water (2020)

Dirk Mallants Elise Bekele Wolfgang Schmid Konrad Miotliński Andrew Taylor

Source-pathway-receptor analyses involving solute migration pathways through soil and shallow groundwater are typically undertaken to assess how people and the environment could come into contact with chemicals associated with coal seam gas operations. For the potential short-term and long-term release of coal seam gas fluids from storage ponds, solute concentration and dilution factors have been calculated using a water flow and solute transport modelling framework for an unsaturated zone-shallow groundwater system. Uncertainty about dilution factors was quantified for a range of system parameters: (i) leakage rates from storage ponds combined with recharge rates, (ii) a broad combination of soil and groundwater properties, and (iii) a series of increasing travel distances through soil and groundwater. Calculated dilution factors in the soil increased from sand to loam soil and increased with an increasing recharge rate, while dilution decreased for a decreasing leak rate and leak duration. In groundwater, dilution factors increase with increasing aquifer hydraulic conductivity and riverbed conductance. For a hypothetical leak duration of three years, the combined soil and groundwater dilution factors are larger than 6980 for more than 99.97% of bores that are likely to be farther than 100 m from the source. Dilution factors were more sensitive to uncertainty in leak rates than recharge rates. Based on this dilution factor, a comparison of groundwater predicted environmental concentrations and predicted no-effect concentrations for a subset of hydraulic fracturing chemicals used in Australia revealed that for all but two of the evaluated chemicals the estimated groundwater concentration (for a hypothetical water bore at 100 m from the solute source) is smaller than the no-effect concentration for the protection of aquatic ecosystems.

Dilution

Groundwater model

10.3390/w12040941

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Citations (14)

Tomography in Soil Science: From the First Experiments to Modern Methods (A Review)

Eurasian Soil Science (2021)

К. Н. Абросимов Kirill M. Gerke Dmitry Fomin К. А. Романенко Д. В. Корост

Tomographic reconstruction

10.1134/s1064229321090027

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Citations (17)