Predicting attachment efficiency of colloid deposition under unfavorable attachment conditions

Shen, Chongyang; Huang, Yuanfang; Li, Baoguo; Jin, Yan

doi:10.1029/2010wr009218

Cited by 72 publications

(93 citation statements)

References 53 publications

(167 reference statements)

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“…There could be, but not limited to, the following two explanations: (i) higher flow rate break through the clogging caused by colloidal/bacterial aggregation (Bergendahl & Grasso, 2000;X. Li et al, 2005;Shen et al, 2010;Torkzaban et al, 2015;Torkzaban et al, 2007) (ii) colloid/bacteria adhered to the collector surface are detached by the hydrodynamic drag force (Tong & Johnson, 2006). The column test does not provide detailed information on which explanation is more likely or exclusively correct.…”

Section: Introductionmentioning

confidence: 99%

“…This method is adopted in some particle detachment models (Shen et al, 2010;Torkzaban et al, 2007). In these models, the hydrodynamic interaction and the surface adhesive interaction exerted on particles are calculated and compared such that the detachment of particles is determined.…”

Section: Method-1mentioning

confidence: 99%

“…Neglecting the lift force on the particle, the hydrodynamic torque is therefore MD = FD × l with l = 1.4 × R being the moment arm of FD (Shen et al, 2010). As flowrate increases, MD reaches the rotational inertia of the adhered particle, the particle pivots at the far end of the contact circle, and eventually breaks loose from the substrate and is carried away by the external flow.…”

Section: Hydrodynamic Drag On Adhered Particlesmentioning

confidence: 99%

“…This effect was described by Derjaguin, Landau and Verwey, Overbeek (DLVO) theory (Elimelech & O'Melia, 1990;Gregory, 1981;Hogg et al, 1966;van Smoluchowski, 1917). Tow deposit modes coexist for particles/bacteria in ionic solvent, strong deposit mode and weak deposit mode (Shen, Huang, Li, & Jin, 2010;Shi, Müftü, Gu, & Wan, 2013;Tufenkji & Elimelech, 2004b). Higher ionic strength usually results in higher filtration efficiency (Rijnaarts et al, 1999;Shi et al, 2013;Torkzaban, Bradford, & Walker, 2007;Tufenkji & Elimelech, 2004b).…”

Section: Environmental Factorsmentioning

confidence: 99%

“…Column test results typically indicated a negative correlation between flow velocity and filtration efficiency (Bergendahl & Grasso, 2000;Hendry et al, 1999;X. Li et al, 2005;Shen et al, 2010;Tong & Johnson, 2006;Torkzaban et al, 2015;Torkzaban et al, 2007). There could be, but not limited to, the following two explanations: (i) higher flow rate break through the clogging caused by colloidal/bacterial aggregation (Bergendahl & Grasso, 2000;X.…”

Section: Introductionmentioning

confidence: 99%

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Solid mechanics in colloidal and bacterial filtration

Sun¹

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Microbial and particle transportation and adhesion in porous media in electrolytic solutions is fundamental in many fields related to water treatment, drug delivery and human health. This is a complex multi-physics process which includes, but not limited to, fluid mechanics, microbial properties, surface adhesion and aqueous environments. The conventional, empirically-driven approach is based on a flowthrough sand-packed column test. Although it is widely applied to predict filtration efficiency, the fundamental science and contribution of individual factors in this

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Section: Introductionmentioning

confidence: 99%

Section: Method-1mentioning

confidence: 99%

Section: Hydrodynamic Drag On Adhered Particlesmentioning

confidence: 99%

Section: Environmental Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Solid mechanics in colloidal and bacterial filtration

Sun¹

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Correlation equations for average deposition rate coefficients of nanoparticles in a cylindrical pore

Seetha

Hassanizadeh

Kumar

et al. 2015

Water Resources Research

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Nanoparticle deposition behavior observed at the Darcy scale represents an average of the processes occurring at the pore scale. Hence, the effect of various pore-scale parameters on nanoparticle deposition can be understood by studying nanoparticle transport at pore scale and upscaling the results to the Darcy scale. In this work, correlation equations for the deposition rate coefficients of nanoparticles in a cylindrical pore are developed as a function of nine pore-scale parameters: the pore radius, nanoparticle radius, mean flow velocity, solution ionic strength, viscosity, temperature, solution dielectric constant, and nanoparticle and collector surface potentials. Based on dominant processes, the pore space is divided into three different regions, namely, bulk, diffusion, and potential regions. Advection-diffusion equations for nanoparticle transport are prescribed for the bulk and diffusion regions, while the interaction between the diffusion and potential regions is included as a boundary condition. This interaction is modeled as a firstorder reversible kinetic adsorption. The expressions for the mass transfer rate coefficients between the diffusion and the potential regions are derived in terms of the interaction energy profile. Among other effects, we account for nanoparticle-collector interaction forces on nanoparticle deposition. The resulting equations are solved numerically for a range of values of pore-scale parameters. The nanoparticle concentration profile obtained for the cylindrical pore is averaged over a moving averaging volume within the pore in order to get the 1-D concentration field. The latter is fitted to the 1-D advection-dispersion equation with an equilibrium or kinetic adsorption model to determine the values of the average deposition rate coefficients. In this study, pore-scale simulations are performed for three values of P eclet number, Pe 5 0.05, 5, and 50. We find that under unfavorable conditions, the nanoparticle deposition at pore scale is best described by an equilibrium model at low P eclet numbers (Pe 5 0.05) and by a kinetic model at high P eclet numbers (Pe 5 50). But, at an intermediate Pe (e.g., near Pe 5 5), both equilibrium and kinetic models fit the 1-D concentration field. Correlation equations for the pore-averaged nanoparticle deposition rate coefficients under unfavorable conditions are derived by performing a multiple-linear regression analysis between the estimated deposition rate coefficients for a single pore and various pore-scale parameters. The correlation equations, which follow a power law relation with nine pore-scale parameters, are found to be consistent with the columnscale and pore-scale experimental results, and qualitatively agree with the colloid filtration theory. These equations can be incorporated into pore network models to study the effect of pore-scale parameters on nanoparticle deposition at larger length scales such as Darcy scale.

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Transport and fate of microorganisms in soils with preferential flow under different solution chemistry conditions

Wang

Bradford

Šimůnek

2013

Water Resources Research

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[1] Laboratory and numerical studies were conducted to investigate the transport and fate of Escherichia coli D21g and coliphage 'X174 in saturated soils with preferential flow under different solution ionic strength (IS ¼ 1, 5, 20, and 100 mM) conditions. Preferential flow systems were created by embedding a coarse-sand lens (710 mm) into a finer matrix sand (120 mm). Complementary transport experiments were conducted in homogeneous sand columns to identify controlling transport and retention processes, and to independently determine model parameters for numerical simulations in the heterogeneous experiments. Results from homogeneous and heterogeneous transport experiments demonstrate that retention of E. coli D21g and 'X174 increased with IS, while the effect on E. coli D21g in finer sand was much greater than in coarse sand. This microbe transport behavior was well described by numerical simulations. The importance of preferential flow on microbe transport was found to be enhanced at higher IS, even though the overall transport decreased. However, the contribution of preferential flow was much higher for E. coli D21g than 'X174. Deposition profiles revealed significant cell retention at the interface of the coarse-sand lens and the fine-sand matrix as a result of mass transfer. Cell release from the preferential flow system with a reduction of solution IS exhibited multipulse breakthrough behavior that was strongly dependent on the initial amount of cell retention, especially at the lens-matrix interface.

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Predicting attachment efficiency of colloid deposition under unfavorable attachment conditions

Cited by 72 publications

References 53 publications

Solid mechanics in colloidal and bacterial filtration

Solid mechanics in colloidal and bacterial filtration

Correlation equations for average deposition rate coefficients of nanoparticles in a cylindrical pore

Transport and fate of microorganisms in soils with preferential flow under different solution chemistry conditions

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