Abstract
The influence of fracture roughness on solute transport is an important research direction of hydrogeology. It provides guidance for fluid transport in rough fractures. In this paper, the common self-affine method is used to construct a single fracture with different roughness. The solute transport in three-dimensional fractures with different roughness is numerically simulated by LBM, and the flow field and concentration field are analyzed. The non-Fickian transport characteristics of solute are described through the spatial evolution of solute, and the non-Fickian degree of solute is described and explained. The penetration curve (BTC) and residence time distribution (RTD) are calculated, and the degree of non-Fickian phenomenon is quantified according to the continuous time random walk (CTRW TPL) inversion model. The results show that under the same Reynolds number, the coarser the fracture surface is, the more obvious the non-Fickian fracture is. The velocity and streamline are evenly distributed on the fracture surface with the smallest roughness. With the increase of roughness, the velocity and streamline become more and more uneven. These results are due to the preference channel, which allows part of the solution to reach the outlet early at a higher speed, resulting in “early arrival.” In addition to the inferior channel, the blocked area shall also be mainly responsible for the “long tail.” In this paper, a new interpretation of non-Fickian solute transport in three-dimensional rough fractures is proposed, which provides theoretical support and scheme suggestions for engineering applications such as groundwater resources development and pollution prevention.
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This work was financially supported by the National Key Research and Development Program (2019YFC1805801) and the National Natural Science Foundation of China (nos. 41172277, 40572163, and 40202036).
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Deng, Y., Tian, X., Li, P. et al. Research on the influence of roughness on solute transport through 3D self-affine fractures by lattice Boltzmann simulation. Arab J Geosci 15, 393 (2022). https://doi.org/10.1007/s12517-022-09651-w
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DOI: https://doi.org/10.1007/s12517-022-09651-w