2021
DOI: 10.1029/2020wr029370
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The Semi‐Analytical Solution for Non‐Equilibrium Solute Transport in Dual‐Permeability Porous Media

Abstract: Transport of contaminants through porous media often experiences non-equilibrium conditions and remains a challenging problem for groundwater hydrologists. The porous media heterogeneity is associated with irregular stratification, dead-end pores, fractures, and lenses with different hydraulic conductivities

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Cited by 11 publications
(5 citation statements)
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“…Similar conclusions can be found in Sharma et al. (2021). Overall, it is highlighted that the MM model can efficiently capture the complex evolution of tracer for radial flow in a heterogeneous aquifer that can be characterized as a dual‐permeability porous media.…”
Section: Application Of the Proposed Modelsupporting
confidence: 92%
See 2 more Smart Citations
“…Similar conclusions can be found in Sharma et al. (2021). Overall, it is highlighted that the MM model can efficiently capture the complex evolution of tracer for radial flow in a heterogeneous aquifer that can be characterized as a dual‐permeability porous media.…”
Section: Application Of the Proposed Modelsupporting
confidence: 92%
“…The optimized values of dispersivity for the MM model is the smaller than those of ADE at the four observation points, and the transfer coefficient of the MM model is higher than that of the MIM model. Similar conclusions can be found in Sharma et al (2021). Overall, it is highlighted that the MM model can efficiently capture the complex evolution of tracer for radial flow in a heterogeneous aquifer that can be characterized as a dual-permeability porous media.…”
Section: Application Of the Proposed Modelsupporting
confidence: 78%
See 1 more Smart Citation
“…The fluid motion in the rough 3‐D fracture is regarded as a fully developed single‐phase Newtonian fluid with incompressible and steady‐state, which can be described by solving continuity and Navier−Stokes equations (Zhang & Liu, 2024; Zhang et al., 2024c): {·u=0ρ(u·)u=p+μnormalf2u $\left\{\begin{array}{@{}l@{}}\nabla \cdot \boldsymbol{u}=0\\ \rho (\boldsymbol{u}\cdot \nabla )\boldsymbol{u}=-\nabla p+{\mu }_{\mathrm{f}}{\nabla }^{2}\boldsymbol{u}\end{array}\right.$ where u is the flow velocity, and u = [ u x , u y , u z ]; ρ is the fluid density; p is the pressure; ∇ is the gradient operator; ∇⋅ is the divergency operator; and ∇ 2 is the Laplace operator.…”
Section: Methodsmentioning
confidence: 99%
“…The pivotal parameter for understanding and predicting fluid flow in filled rock fractures is hydraulic transmissivity, denoting the ability to transmit fluids through porous and fractured media (Min et al., 2004; Walsh, 1981; S. Zhang & Liu, 2024). Over the years, substantial efforts have been dedicated to investigating the effect of confining stress, pressure cycles and filling particle size on the hydraulic transmissivity of filled rock fractures, and a number of general conclusions have been reached: (a) In every scenario, fracture transmissivity is inversely proportional to the confining stress, as it results in the reduction of fracture aperture and thus the densification of the filling material (Morrow et al., 1981); (b) Cyclic fluid pressure induces a decrease in fracture transmissivity, eventually stabilizing at a consistent minimum value after undergoing multiple pressure cycles (Faulkner & Rutter, 2000; Wang et al., 2016); (c) A coarser size of filling particles generally increases fracture transmissivity due to a greater void space (Xiao et al., 2021; Zheng et al., 2018).…”
Section: Introductionmentioning
confidence: 99%