2010
DOI: 10.1016/j.camwa.2009.08.057
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Three-dimensional microscale flow simulation and colloid transport modeling in saturated soil porous media

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Cited by 10 publications
(5 citation statements)
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“…The model developed in our study provides a useful framework that can be systematically made more complex and accurate by including factors and physical processes not considered in this study. Recently, we have extended the model to three‐dimensional porous media (Gao et al, 2010). The Lagrangian trajectory approach allows consideration of chemical and physical heterogeneities, such as charge variations and surface roughness.…”
Section: Discussionmentioning
confidence: 99%
“…The model developed in our study provides a useful framework that can be systematically made more complex and accurate by including factors and physical processes not considered in this study. Recently, we have extended the model to three‐dimensional porous media (Gao et al, 2010). The Lagrangian trajectory approach allows consideration of chemical and physical heterogeneities, such as charge variations and surface roughness.…”
Section: Discussionmentioning
confidence: 99%
“…The fact that multiple alternative models with significantly different process conceptualizations could fit the column‐scale observations equally well underlines the potential danger of inferring validity of assumed process models from their ability to be fitted to limited observations. Interestingly, this situation has motivated a new line of ongoing research based on pore‐scale simulation and observation of colloidal transport (Li et al 2006, 2010a, 2010b; Johnson et al 2007; Torkzaban et al 2008; Gao et al, 2010) that holds promise for elucidating the actual mechanisms that are responsible for the observed phenomena. Combining observations of bacterial breakthrough with profiles in adsorbed bacteria at the field scale, however, has yet to be accomplished and will be critical to scaling up from the pore‐scale to kilometer scale.…”
Section: Shortcomings Of Cft For Quantifying Bacterial Transport Procmentioning
confidence: 99%
“…From a computational viewpoint, the advantages of LBM include its algorithm simplicity, intrinsic data locality (thus straightforward to perform parallel computation), and capability to conveniently incorporate complex fluid-solid and fluid-fluid boundary conditions. Hence, LBM has been widely employed in simulations of complex fluid systems, such as multiphase flows [3,4], complex viscous flows with deformable boundary and complex geometry such as porous media [5][6][7], and micro-scale flows [8,9].…”
Section: Introductionmentioning
confidence: 99%