2016
DOI: 10.1007/s10040-016-1415-x
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Review: The state-of-art of sparse channel models and their applicability to performance assessment of radioactive waste repositories in fractured crystalline formations

Abstract: Review: The state-of-art of sparse channel models and their applicability to performance assessment of radioactive waste repositories in fractured crystalline formations.Hydrogeology Journal, 24 (7)

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Cited by 36 publications
(22 citation statements)
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References 50 publications
(14 reference statements)
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“…Many factors can affect the magnitude of permeability of fractured rock masses, including fracture length [28][29][30][31], aperture [32][33][34], surface roughness [35,36], dead-end [37], number of intersections [38,39], hydraulic gradient [40], boundary stress [41,42], anisotropy [43][44][45][46], scale [47][48][49][50], stiffness [51], coupled thermo-hydro-mechanical-chemical (HTMC) processes [52][53][54][55], and precipitation-dissolution and biogeochemistry [56]. The discrete fracture network (DFN) model, which can consider most of the above parameters, has been increasingly utilized to simulate fluid flow in the complex 2 Geofluids fractured rock masses [57][58][59][60], although it cannot model the aperture heterogeneity of each fracture [61][62][63]. In the numerical simulations and/or analytical analysis, the linear governing equation such as the cubic law is solved to simulate fluid flow in fractures by applying constant hydraulic gradients ( ) on the two opposing boundaries, such as = 1 [57,[64][65][66][67][68]], = 0.1 …”
Section: Introductionmentioning
confidence: 99%
“…Many factors can affect the magnitude of permeability of fractured rock masses, including fracture length [28][29][30][31], aperture [32][33][34], surface roughness [35,36], dead-end [37], number of intersections [38,39], hydraulic gradient [40], boundary stress [41,42], anisotropy [43][44][45][46], scale [47][48][49][50], stiffness [51], coupled thermo-hydro-mechanical-chemical (HTMC) processes [52][53][54][55], and precipitation-dissolution and biogeochemistry [56]. The discrete fracture network (DFN) model, which can consider most of the above parameters, has been increasingly utilized to simulate fluid flow in the complex 2 Geofluids fractured rock masses [57][58][59][60], although it cannot model the aperture heterogeneity of each fracture [61][62][63]. In the numerical simulations and/or analytical analysis, the linear governing equation such as the cubic law is solved to simulate fluid flow in fractures by applying constant hydraulic gradients ( ) on the two opposing boundaries, such as = 1 [57,[64][65][66][67][68]], = 0.1 …”
Section: Introductionmentioning
confidence: 99%
“…There are generally three conceptual models to simulate fluid flow and transport in fractured porous media, including stochastic continuum model, channel network model and discrete fracture network model (Selroos et al, 2002;Figueiredo et al, 2016). The stochastic continuum model can represent the fractured systems as equivalent homogenous media, in which the anisotropy of permeability cannot be considered (Tsang et al, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…The stochastic continuum model can represent the fractured systems as equivalent homogenous media, in which the anisotropy of permeability cannot be considered (Tsang et al, 1996). The channel network model can simulate flow properties of fractures that are tortuous and exhibit preferential pathways, which is more realistic than the stochastic continuum model (Neretnieks, 1987;Figueiredo et al, 2016). However, when the aperture heterogeneity of each fracture in complex fracture networks is considered, it is a timeconsuming and even unavailable task for calculations.…”
Section: Introductionmentioning
confidence: 99%
“…It is widely acknowledged that groundwater flow occurs within a limited proportion of a fracture's surface (Figueiredo et al 2016). Bourke (1987) (Fig.…”
Section: Channel Widthmentioning
confidence: 99%