2015
DOI: 10.1016/j.jhydrol.2015.04.029
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Power law breakthrough curve tailing in a fracture: The role of advection

Abstract: Keywords:Solute transport Single fracture Breakthrough curve Powerlaw tailing s u m m a r yWe offer an explanation of the strongly tailed solute breakthrough curve typically observed when a tracer test is conducted in fractured bedrock. In this example, we limit the model to a single planar fracture of varying aperture. Flow heterogeneity derives from variable fracture aperture, which implies variable transmissivity (T). The analysis employs a physically based model well-suited to strong heterogeneity and reli… Show more

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Cited by 18 publications
(15 citation statements)
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“…The values of P e (from 2.47 for UDS2 to 15.04 for the sand sample) suggested that advection was the dominant transport process for contaminants through the UDS1 and sand samples and that dispersion dominated over advection in the case of UDS2 [37]. The significantly different P e for UDS2 likely resulted from stratification and the heterogeneity of the sample.…”
Section: Batch Incubationmentioning
confidence: 96%
“…The values of P e (from 2.47 for UDS2 to 15.04 for the sand sample) suggested that advection was the dominant transport process for contaminants through the UDS1 and sand samples and that dispersion dominated over advection in the case of UDS2 [37]. The significantly different P e for UDS2 likely resulted from stratification and the heterogeneity of the sample.…”
Section: Batch Incubationmentioning
confidence: 96%
“…Geological structures significantly influence hydrodynamic flows in low-permeability fractured media. Within an isolated fracture, the nonuniform resistance offered by uneven fracture walls leads to irregularities in the flow, the magnitude of which depends on the roughness in the fracture's aperture (Cardenas et al, 2007;de Dreuzy et al, 2012;Fiori & Becker, 2015;Johnson et al, 2006;Kang et al, 2016;Keller et al, 1999Keller et al, , 1995 and the Reynolds number of the flow (Cardenas et al, 2009;Zou et al, 2017). In a fracture network, larger features can play a more dominant role than in-fracture aperture variability in determining the structure of the fluid velocity field (Bisdom et al, 2016;de Dreuzy et al, 2012;Karra et al, 2015;Makedonska et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Each scenario represented the ensemble average of 100 total individual DFN flow and transport realizations. Fracture locations, orientations, lengths, and hydraulic conductivities were generated from predefined distributions obtained in literature [32,48]:…”
Section: Generating the Random Discrete Fracture Networkmentioning
confidence: 99%