2016
DOI: 10.1016/j.jconhyd.2016.06.002
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Exposure-time based modeling of nonlinear reactive transport in porous media subject to physical and geochemical heterogeneity

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Cited by 27 publications
(33 citation statements)
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References 51 publications
(60 reference statements)
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“…During high discharge conditions, the transport of surface water into the streambed accelerates (Gu et al, ; Malcolm et al, ), hence leading to increased accumulation of solutes deeper into the streambed. Previous research has demonstrated that the nutrient cycling at the river‐aquifer system is strongly controlled by, and often proportional to the residence times of surface water in the HZ (McCallum & Shanafield, ; Wondzell & Swanson, ; Zarnetske et al, , ) and are good indicators of biogeochemical processes (Sanz‐Prat et al, , ). Our results indicate that peak flow event characteristics like magnitude, skewness of peaks, and duration of the event can have a considerable impact on HEF and the mean residence time of water in the HZ.…”
Section: Discussionmentioning
confidence: 99%
“…During high discharge conditions, the transport of surface water into the streambed accelerates (Gu et al, ; Malcolm et al, ), hence leading to increased accumulation of solutes deeper into the streambed. Previous research has demonstrated that the nutrient cycling at the river‐aquifer system is strongly controlled by, and often proportional to the residence times of surface water in the HZ (McCallum & Shanafield, ; Wondzell & Swanson, ; Zarnetske et al, , ) and are good indicators of biogeochemical processes (Sanz‐Prat et al, , ). Our results indicate that peak flow event characteristics like magnitude, skewness of peaks, and duration of the event can have a considerable impact on HEF and the mean residence time of water in the HZ.…”
Section: Discussionmentioning
confidence: 99%
“…Evidence that residence‐time in phase can serve as a fundamental variable controlling effective kinetics is available from research ranging from diffusive mass transfer in soils [ Rao et al ., ] to colloid filtration [ Dabros and Van de Ven , ] to mineralogical [ Glassley et al ., ] or biochemical [ Sanz‐Prat et al ., ] heterogeneity. The exposure‐time approach [ Ginn , ] provides one avenue toward the development of models to account for these effects.…”
Section: Resultsmentioning
confidence: 99%
“…Both methods are spatially local, testable by batch experiments on mass exchange without advective‐dispersive transport, mathematically relatively straightforward requiring only calculus and differential equations, and linear, allowing for superposition of reaction kinetics in either mobile or immobile phases. Therefore, both serve as a potential upscaling basis for reactive transport [e.g., Ma et al ., ; Soler‐Sagarra et al ., , and references cited therein; Sanz‐Prat et al ., ]. The transport operator is unrelated to the mass exchange models and so can be independently specified as Fickian or non‐Fickian.…”
Section: Resultsmentioning
confidence: 99%
“…In preceding studies, we have intensively analyzed under which conditions dispersive mixing can be neglected in reactive transport calculations, which is a prerequisite for transport formulations using travel times, exposure times, or the cumulative relative reactivity (Sanz‐Prat et al , ; Loschko et al , ). From these preceding studies we conclude that restricting physical transport to advection is permissible if the dissolved reactants are introduced over large areas and long times and if they react with components of the aquifer matrix.…”
Section: Introductionmentioning
confidence: 99%