2021
DOI: 10.2166/ws.2021.010
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Study of 2D contaminant transport with depth varying input source in a groundwater reservoir

Abstract: This study deals with a two-dimensional (2D) contaminant transport problem subject to depth varying input source in a finite homogeneous groundwater reservoir. A depth varying input source at the upstream boundary is assumed as the location of disposal site of the pollutant from where contaminant enters into the soil medium and ultimately to the groundwater reservoir. At the extreme boundary of the flow site, the concentration gradient of the contaminant is assumed to be zero. Contaminant dispersion is conside… Show more

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Cited by 13 publications
(11 citation statements)
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“…Combined with a growing number of experimental approaches for designing consortia with specific spatial arrangements, including optogenic, seeding, and other approaches ( 20 , 22 , 23 , 24 ), modulating consortium dynamics through spatial organization is becoming more practical. Since the underlying numerical scheme used to solve our reaction-diffusion equation model has routinely been applied in higher dimensions ( 39 , 40 , 41 , 42 ), our framework is well suited to interrogate the effects of the more complex spatial organizations implemented by these experimental methods ( 23 , 43 , 44 , 45 ). Through enabling these investigations into the impact of spatial organization on microbial consortium dynamics, we hope that our modeling framework helps advance the understanding of these systems and supports the development of new applications involving them.…”
Section: Discussionmentioning
confidence: 99%
“…Combined with a growing number of experimental approaches for designing consortia with specific spatial arrangements, including optogenic, seeding, and other approaches ( 20 , 22 , 23 , 24 ), modulating consortium dynamics through spatial organization is becoming more practical. Since the underlying numerical scheme used to solve our reaction-diffusion equation model has routinely been applied in higher dimensions ( 39 , 40 , 41 , 42 ), our framework is well suited to interrogate the effects of the more complex spatial organizations implemented by these experimental methods ( 23 , 43 , 44 , 45 ). Through enabling these investigations into the impact of spatial organization on microbial consortium dynamics, we hope that our modeling framework helps advance the understanding of these systems and supports the development of new applications involving them.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, implicit methods work with the whole system matrix, thus they can be extremely slow with huge memory usage when the number of cells is large. Still, these methods are typically used for solving these kinds of equations, see for example [10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Simulation of groundwater quality could be considered an appropriate tool for aquifer management and planning (Ansarifar et al 2020a, b). Typically, the governing equation (the related partial differential equations) is used to predict contaminant dispersion's spatial and temporal distribution in an aquifer (Singh et al 2021).…”
Section: Introductionmentioning
confidence: 99%