2016
DOI: 10.1016/j.jhydrol.2016.02.046
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Solute transport through fractured rock: Radial diffusion into the rock matrix with several geological layers for an arbitrary length decay chain

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Cited by 22 publications
(6 citation statements)
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“…with the material property group for the rock matrix given by (Mahmoudzadeh et al 2013(Mahmoudzadeh et al , 2016)…”
Section: Mathematical Model and Solution Proceduresmentioning
confidence: 99%
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“…with the material property group for the rock matrix given by (Mahmoudzadeh et al 2013(Mahmoudzadeh et al , 2016)…”
Section: Mathematical Model and Solution Proceduresmentioning
confidence: 99%
“…When matrix diffusion is also taken into consideration, the results shown in Fig. 8 suggest that matrix diffusion (Neretnieks 1980) causes strong retardation of solute transport, due to the great capacity of the porous rock in retaining the solute (Mahmoudzadeh et al 2016), and therefore it dominates eventually over hydrodynamic dispersion in determining the spreading of a tracer pulse. Radioactive decay is, on the other hand, also an important factor decisive for the late tail of the breakthrough curves (Shahkarami et al 2015); however, the general features shown in Fig.…”
Section: Comparison Of the Model Predictionsmentioning
confidence: 99%
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“…The radial diffusion method was selected to apply in this study, because of its suitability for lowpermeability aquitards and its high efficiency [41][42][43]. The radial diffusion device was developed with special stainless steel, consisting of a tube, the upper cap, and the lower cap [44].…”
Section: Diffusion Testingmentioning
confidence: 99%
“…The CNM is sometimes also referred to as pipe network. Flow equations in the CNM are locally one‐dimensional and can be solved analytically in the Laplace domain, and sometimes even in the time domain (Moreno & Neretnieks, 1993; Sharma, Dessirier, et al., 2022; Sharma, Geier, et al., 2022), while transport in the channels and interactions with the rock matrix can be modeled by particle‐tracking methods (Liu et al., 2017; Mahmoudzadeh et al., 2013, 2016; Neretnieks, 2006; Shahkarami et al., 2016), which alleviates the need for a numerical discretization of the domain and allows to focus more directly on the network structure and connectivity to reproduce field data (Dessirier et al., 2018; Li et al., 2014). Some CNM frameworks use full lattices of channels and stereological arguments to infer lattice spacing and flow‐wetted surface from observations along borehole sections (e.g., Gylling et al., 1999).…”
Section: Introductionmentioning
confidence: 99%