Characterization of macropore structure of remolded loess and analysis of hydraulic conductivity anisotropy using X-ray computed tomography technology

被引:0
作者
Haike Wang
Hui Qian
Yanyan Gao
机构
[1] Chang’an University,School of Environmental Science and Engineering
[2] Chang’an University,Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education
来源
Environmental Earth Sciences | 2021年 / 80卷
关键词
Hydraulic conductivity; Anisotropy; Image segmentation; Remolded loess; Kozeny–Carman equation; X-ray CT;
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中图分类号
学科分类号
摘要
The pore structure of loess is crucial for understanding the transport of water in soil and affects soil permeability. In this study, X-ray computed tomography (X-ray CT) technology was used to establish the macropore structure of remolded loess, and analyze the influence of macropore on permeability. A new specific and efficient workflow for constructing macropore structure of loess samples was established. The workflow improves the precision of image segmentation and provides a new method for creating 3D soil macropore structure. The macropore structure showed that the macro-porosity variation of loess sample was clearly anisotropic. Based on the macropore structure model, a modified Kozeny–Carman equation was suggested to investigate the hydraulic conductivity anisotropy of the loess sample. Subsequently, permeability test was used to verify the results calculated by equation. Both the results showed that hydraulic conductivity was positively correlated with the uniformity of the porosity changes in each direction. It provides a new method to estimate the anisotropy of hydraulic conductivity based on macropore structure model.
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  • [1] Aydogan DB(2014)Characterization of microstructures using contour tree connectivity for fluid flow analysis J R Soc Interface 11 20131042-628
  • [2] Hyttinen J(2003)On the use of the Kozeny–Carman equation to predict the hydraulic conductivity of soils Can Geotech J 40 616-288
  • [3] Chapuis RP(2011)Detection of pore space in CT soil images using artificial neural networks Biogeosciences 8 279-10
  • [4] Aubertin M(2017)Rainfall infiltration performance and its relation to mesoscopic structural properties of a gravelly soil slope Eng Geol 230 1-142
  • [5] Cortina-Januchs G(2010)Use of existing pore models and X-ray computed tomography to predict saturated soil hydraulic conductivity Geoderma 156 133-130
  • [6] Quintanilla J(2018)X-ray microtomography analysis of lime application effects on soil porous system Geoderma 324 119-70
  • [7] Vega-Corona A(2003)A critical assessment of the moist tamping technique Geotech Test J 26 57-14
  • [8] Tarquis AM(2018)Effects of lime treatment on the hydraulic conductivity and microstructure of loess Environ Earth Sci 77 529-260
  • [9] Andina D(2018)The application of X-ray micro computed tomography imaging for tracing particle movement in soil Geoderma 321 8-285
  • [10] Dong H(2013)New local thresholding method for soil images by minimizing grayscale intra-class variance Vadose Zone J 78 447-400