Water movement in porous media towards an ice front

Nature ◽  
1976 ◽  
Vol 264 (5582) ◽  
pp. 166-167 ◽  
Author(s):  
M. B. G. M. BIERMANS ◽  
K. M. DIJKEMA ◽  
D. A. DE VRIES
Keyword(s):  
Soil Science ◽  
1979 ◽  
Vol 127 (5) ◽  
pp. 257-263 ◽  
Author(s):  
J. -Y. PARLANGE ◽  
D. E. HILL
Keyword(s):  

Science ◽  
1960 ◽  
Vol 131 (3410) ◽  
pp. 1370-1371 ◽  
Author(s):  
D. M. Anderson ◽  
A. Linville

Géotechnique ◽  
2021 ◽  
pp. 1-25
Author(s):  
Liang-Tong Zhan ◽  
Guang-Yao Li ◽  
Bate Bate ◽  
Yun-Min Chen

Capillary barrier effect (CBE) is employed in a large number of geotechnical applications to decrease deep percolation or increase slope stability. However, the micro-scale behaviour of CBE is rarely investigated, and thus hampers the scientific design of capillary barrier systems. This study uses microfluidics to explore the micro-scale behaviour of CBE. Capillarity-driven water flow processes from fine to coarse porous media with different pore topologies and sizes were performed and analysed. The experimental results demonstrate that the basic physics of CBE is the preferential water movement into the fine porous media due to the larger capillarity. The effects of CBE on water flow processes can be identified as delaying the occurrence of breakthrough into the coarse porous media and increasing the water storage of the fine porous media. The CBE can impede the increase of the normalized length and decrease the normalized width of the water front, suggesting that the two normalized parameters are potential indicators to assess the performance of CBE at micro scale. CBE can be formed in square and honeycomb networks with the ratio of coarse to fine pore throat width larger than 2.0 when gravity is neglected, and its performance can be affected by pore topology and size.


2020 ◽  
Author(s):  
Naoto Sato ◽  
Yuichi Maruo ◽  
Kento Nogawa ◽  
Natsumi Naganuma ◽  
Kosuke Noborio

<p>The Global Exploration Roadmap targets the realization of Mars manned exploration by the 2030s. It is necessary to understand water movement in porous media under microgravity to establish a plant growth system for crop production for astronauts to produce food in outer space. In previous researches, a decrease in infiltration rate was reported for coarse (1.5 mm diameter) glass beads porous media. On the other hand,  in the case of fine (0.4 mm diameter) glass beads porous media, the amount of reduction in the infiltration rate was small. We wanted knowledge of water movement under partial gravity conditions. We conducted water infiltration experiments under microgravity, 1/6G, and 1/3G conditions made by parabolic flights. The 0.2, 0.4, and 0.6 mm glass beads were used as porous media. The effects of particle size and partial gravity on water infiltration in porous media will be discussed.</p>


2019 ◽  
Vol 63 (1) ◽  
pp. 589-597
Author(s):  
Risa Nagura ◽  
Yuki Watanabe ◽  
Naoto Sato ◽  
Shujiro Komiya ◽  
Shinya Suzuki ◽  
...  

2010 ◽  
Vol 34 (4) ◽  
pp. 1463-1468 ◽  
Author(s):  
Tairone Paiva Leão ◽  
Edmund Perfect

Fractal mathematics has been used to characterize water and solute transport in porous media and also to characterize and simulate porous media properties. The objective of this study was to evaluate the correlation between the soil infiltration parameters sorptivity (S) and time exponent (n) and the parameters dimension (D) and the Hurst exponent (H). For this purpose, ten horizontal columns with pure (either clay or loam) and heterogeneous porous media (clay and loam distributed in layers in the column) were simulated following the distribution of a deterministic Cantor Bar with fractal dimension H" 0.63. Horizontal water infiltration experiments were then simulated using Hydrus 2D software. The sorptivity (S) and time exponent (n) parameters of the Philip equation were estimated for each simulation, using the nonlinear regression procedure of the statistical software package SAS®. Sorptivity increased in the columns with the loam content, which was attributed to the relation of S with the capillary radius. The time exponent estimated by nonlinear regression was found to be less than the traditional value of 0.5. The fractal dimension estimated from the Hurst exponent was 17.5 % lower than the fractal dimension of the Cantor Bar used to generate the columns.


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