Deep-bed filtration model with multistage deposition kinetics

Gitis, Vitaly; Rubinstein, Isaak; Livshits, M. G.; Ziskind, G.

doi:10.1016/j.cej.2010.07.044

Cited by 88 publications

(48 citation statements)

References 24 publications

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“…As previously observed experimentally at a larger scale [1], the penetration profile shown in Figure 8 indicates that, after a short clogging time, the greatest fraction of the instantaneous mass per porous volume unit was collected in the very first millimeters of the granular bed. These penetration profiles are qualitatively consistent with those obtained by Gitis et al (2010) in their deep-bed liquid filtration model based on 3 successive deposition kinetics [35]. Since a same but differently distributed collected mass does not generate the same pressure drop, it is very important to take into account these penetration profiles to model how pressure drop was affected during clogging.…”

Section: Efficiencysupporting

confidence: 69%

Modeling of the deep granular bed clogging by nanoparticles

Wingert

Bardin‐Monnier

Charvet

et al. 2017

Separation and Purification Technology

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Nanoparticles aerosols are a potential health hazard and are increasingly used in industry today.Effective means for their filtration to avoid occupational exposure are necessary. Granular bed filtration exhibits interesting properties in terms of ultrafine particle collection efficiency or retention capacity, which could make them a good alternative to the fiber filters commonly used in industry today. Being able to predict changes to their collection efficiency and pressure drop during clogging appears essential for the design, optimization and control of the filtration process. To meet these needs, this study presents a predictive model for the different phases of deep-bed clogging. The model developed successfully describes changes to collection efficiency and pressure drop using equivalent collector diameters. Microscopic observations showed these equivalent diameters to be compatible with considering the deposit as a uniform spherical layer all over the collector's surface. The predictions of the model agreed well with data from several clogging experiments for which various operating conditions were used, i.e., different collector's diameters, particulate materials or superficial velocities.

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Section: Efficiencysupporting

confidence: 69%

Modeling of the deep granular bed clogging by nanoparticles

Wingert

Bardin‐Monnier

Charvet

et al. 2017

Separation and Purification Technology

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show abstract

“…There are many sand filtration models available, most based on the work of Herzig et al [16]; for example, the model of Gitis et al [10]. The modification of Herzig's model [16] by Gitis et al [10] was chosen to test the proposed solution method, due the availability of a full set of parameters and that it had been validated against some experimental data [10].…”

Section: Particle Capture Modelsmentioning

confidence: 99%

“…Gitis [10] divides the filtration process into three stages. The initial stage of the filtration process is filter ripening, when the particles have relatively low retention.…”

Section: Particle Capture Modelsmentioning

confidence: 99%

“…The modification of Herzig's model [16] by Gitis et al [10] was chosen to test the proposed solution method, due the availability of a full set of parameters and that it had been validated against some experimental data [10]. The Gitis model [10] consists of a set of equations. The overall mass balance is written as…”

Section: Particle Capture Modelsmentioning

confidence: 99%

“…Initial conditions used C256 Figure 1: Specific loading calculated using Gitis parameters using Simulink model [10].…”

Section: Particle Capture Modelsmentioning

confidence: 99%

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Particle capture models: Comparison with experimental data

Kavanagh

Carrasco

Teresa

et al. 2012

ANZIAMJ

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Sand filtration is a becoming a widely used technique for the treatment of urban run off water, particularly for the capture of particulate metal pollutants. Currently the design rules for such systems are focussed on the civil engineering and hydrological aspects, whilst metal removals are typical quoted as broad percentages. The present study is the first step in developing a new design method for such systems, by comparing an established particle capture model consisting of two partial differential equations, one for particle capture and one for loading. The particle capture model was fitted to the outlet concentrations of several metal species, assuming that all particles of a particular metal are identical and have the same probability of capture. Particle loading through the column was then used as a check on the model. Whilst the particle loading results near the surface of the sand

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Clogging process by suspended solids during groundwater artificial recharge: Evidence from lab simulations and numerical modelling

Chu

Yang

Lü

et al. 2019

Hydrological Processes

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Permeability reduction of infiltration media due to suspended solid (SS) clogging is the bane of groundwater artificial recharge. To overcome the clogging problem and advance the understanding of the process-based spatial-temporal evolution of SS clogging, a 1D laboratory column simulation was carried out, followed by numerical modelling of the experimental data in this study. It was found that clogging caused a reduction in the hydraulic conductivity (K) in the upper layer at the beginning and extended deeper to approximately 50 cm, and no reduction in K was detected below 52 cm throughout the experimental period of 129 hr. The most clogged layer spanned from the surface to a depth of 11 cm, and the middle 11-52 cm was characterized by a slight decrease in K. The clogging rates of the different layers decreased with the depth, which was based on data analysis, with the largest value of 0.038 hr −1 in the upper 1 cm. The overall K began to decrease from the surface layer and was increasingly affected by clogging with time. A mathematical model was established to simulate the SS clogging process evolution based on considerations of the attachments and detachments of particles. Then the model was applied to perform several scenario analyses after calibration and validation using the data obtained in the experiment. The simulation results indicated that the SS concentration was much more sensitive than the groundwater depth below the land surface, and 10 days of constant recharge is recommended as the disposal cycle of the clogged layer under the given conditions. K E Y W O R D S groundwater artificial recharge, hydraulic conductivity, laboratory experiments, numerical modelling, permeability reduction, saturated porous media, suspended solid clogging, vertical seepage

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Deep-bed filtration model with multistage deposition kinetics

Cited by 88 publications

References 24 publications

Modeling of the deep granular bed clogging by nanoparticles

Modeling of the deep granular bed clogging by nanoparticles

Particle capture models: Comparison with experimental data

Clogging process by suspended solids during groundwater artificial recharge: Evidence from lab simulations and numerical modelling

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