a review of visualization techniques of biocolloid transport processes

16
A review of visualization techniques of biocolloid transport processes at the pore scale under saturated and unsaturated conditions Arturo A. Keller * , Maria Auset Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, USA Received 15 April 2005; received in revised form 8 November 2005; accepted 5 May 2006 Available online 7 September 2006 Abstract Field and column studies of biocolloid transport in porous media have yielded a large body of information, used to design treatment systems, protect water supplies and assess the risk of pathogen contamination. However, the inherent ‘‘black-box’’ approach of these larger scales has resulted in generalizations that sometimes prove inaccurate. Over the past 10–15 years, pore scale visualization tech- niques have improved substantially, allowing the study of biocolloid transport in saturated and unsaturated porous media at a level that provides a very clear understanding of the processes that govern biocolloid movement. For example, it is now understood that the reduc- tion in pathways for biocolloids as a function of their size leads to earlier breakthrough. Interception of biocolloids by the porous media used to be considered independent of fluid flow velocity, but recent work indicates that there is a relationship between them. The exis- tence of almost stagnant pore water regions within a porous medium can lead to storage of biocolloids, but this process is strongly col- loid-size dependent, since larger biocolloids are focused along the central streamlines in the flowing fluid. Interfaces, such as the air–water interface, the soil–water interface and the soil–water–air interface, play a major role in attachment and detachment, with significant implications for risk assessment and system design. Important research questions related to the pore-scale factors that control attach- ment and detachment are key to furthering our understanding of the transport of biocolloids in porous media. Ó 2006 Elsevier Ltd. All rights reserved. Keywords: Colloid; Sorption; Desorption; Filtration; Straining; Groundwater 1. Introduction The transport of biocolloids (e.g., viruses, bacteria, spores and other microorganisms) through saturated and unsatu- rated porous media is of significant interest, from the per- spective of protection of groundwater supplies from contamination (e.g., [87,53,128,85,104,99]), assessment of risk from pathogens in groundwater (e.g., [9,40,49,51,54, 111,143,1,28,124,14,88,108,95,130]), natural and enhanced bioremediation (e.g., [106,96,141,3,38,33,37,2,68]) and for the design of better water treatment systems to remove bio- colloids from drinking water supplies (e.g., [42,81,114]). Microorganisms can also travel attached to abiotic particles (e.g., [83,24,55,61]). In addition, certain microorganisms can also facilitate the transport of metals and other chemicals (e.g., [72,35,132,145]). Thus, it is important to understand the transport of colloids in general, and that of biocolloids in specific. Biocolloids are affected by many of the physical and chemical processes that influence solute transport, i.e., advection, diffusion, dispersion and adsorption (Fig. 1). Advection is the motion of the biocolloids along the trajec- tories of the fluid streamlines. This mechanism can create dispersion of the biocolloids because of the heterogeneity of the fluid velocity field and the tortuosity of the paths through the porous media. Dispersion can be more impor- tant for colloids than for solutes, since it can lead to earlier breakthrough of the colloids, as presented below. In addi- tion, random interactions among molecules and/or parti- cles result in Brownian movements [117] that diffuse the 0309-1708/$ - see front matter Ó 2006 Elsevier Ltd. All rights reserved. doi:10.1016/j.advwatres.2006.05.013 * Corresponding author. E-mail address: [email protected] (A.A. Keller). www.elsevier.com/locate/advwatres Advances in Water Resources 30 (2007) 1392–1407

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  • este

    r

    ent

    for7 S

    Abstract

    1. Introduction

    colloids from drinking water supplies (e.g., [42,81,114]).Microorganisms can also travel attached to abiotic particles

    (e.g., [83,24,55,61]). In addition, certainmicroorganisms can

    of the uid velocity eld and the tortuosity of the pathsthrough the porous media. Dispersion can be more impor-tant for colloids than for solutes, since it can lead to earlierbreakthrough of the colloids, as presented below. In addi-tion, random interactions among molecules and/or parti-cles result in Brownian movements [117] that diuse the

    * Corresponding author.E-mail address: [email protected] (A.A. Keller).

    Advances in Water Resources 30The transport of biocolloids (e.g., viruses, bacteria, sporesand other microorganisms) through saturated and unsatu-rated porous media is of signicant interest, from the per-spective of protection of groundwater supplies fromcontamination (e.g., [87,53,128,85,104,99]), assessment ofrisk from pathogens in groundwater (e.g., [9,40,49,51,54,111,143,1,28,124,14,88,108,95,130]), natural and enhancedbioremediation (e.g., [106,96,141,3,38,33,37,2,68]) and forthe design of better water treatment systems to remove bio-

    also facilitate the transport of metals and other chemicals(e.g., [72,35,132,145]). Thus, it is important to understandthe transport of colloids in general, and that of biocolloidsin specic.

    Biocolloids are aected by many of the physical andchemical processes that inuence solute transport, i.e.,advection, diusion, dispersion and adsorption (Fig. 1).Advection is the motion of the biocolloids along the trajec-tories of the uid streamlines. This mechanism can createdispersion of the biocolloids because of the heterogeneityField and column studies of biocolloid transport in porous media have yielded a large body of information, used to design treatmentsystems, protect water supplies and assess the risk of pathogen contamination. However, the inherent black-box approach of theselarger scales has resulted in generalizations that sometimes prove inaccurate. Over the past 1015 years, pore scale visualization tech-niques have improved substantially, allowing the study of biocolloid transport in saturated and unsaturated porous media at a level thatprovides a very clear understanding of the processes that govern biocolloid movement. For example, it is now understood that the reduc-tion in pathways for biocolloids as a function of their size leads to earlier breakthrough. Interception of biocolloids by the porous mediaused to be considered independent of uid ow velocity, but recent work indicates that there is a relationship between them. The exis-tence of almost stagnant pore water regions within a porous medium can lead to storage of biocolloids, but this process is strongly col-loid-size dependent, since larger biocolloids are focused along the central streamlines in the owing uid. Interfaces, such as the airwaterinterface, the soilwater interface and the soilwaterair interface, play a major role in attachment and detachment, with signicantimplications for risk assessment and system design. Important research questions related to the pore-scale factors that control attach-ment and detachment are key to furthering our understanding of the transport of biocolloids in porous media. 2006 Elsevier Ltd. All rights reserved.

    Keywords: Colloid; Sorption; Desorption; Filtration; Straining; GroundwaterA review of visualization techniquat the pore scale under satura

    Arturo A. Kelle

    Bren School of Environmental Science and Managem

    Received 15 April 2005; received in revisedAvailable online0309-1708/$ - see front matter 2006 Elsevier Ltd. All rights reserved.doi:10.1016/j.advwatres.2006.05.013of biocolloid transport processesd and unsaturated conditions

    *, Maria Auset

    , University of California, Santa Barbara, CA, USA

    m 8 November 2005; accepted 5 May 2006eptember 2006

    www.elsevier.com/locate/advwatres

    (2007) 13921407

  • Deposition

    WaNomenclature

    A Hamaker constant (J)ap particle radius (m)As soil porosity function ()AWI airwater interface ()D1 colloid bulk diusion coecient (m

    2/s)dg eective grain diameter (m)dp particle eective diameter (m)g gravitational acceleration (m/s2)kB Boltzmanns constant (J/K)NA Hamaker number ()NG gravity number ()NPe Peclet number ()

    Grain

    A.A. Keller, M. Auset / Advances inbiocolloids. The biocolloids can attach to the soilwaterinterface (SWI), the airwater interface (AWI), or the triplecontact of soilwaterair (SWA). Attachment/adsorptionto these interfaces can be reversible or essentially irrevers-ible under certain conditions, and is perhaps the most com-plex process, given the large number of colloid and grainsurface characteristics that determine the probability ofattachment, and the inuence of the dissolved chemicalspecies in the aqueous solution on attachment and detach-ment. In addition to those four processes, colloids are sub-ject to removal by physical mechanisms, such as straining,interception, diusion to the wall and gravitational deposi-tion. These physical processes are precursors to attachment(Fig. 2).

    At the level of the individual biocolloid, there are pro-cesses that can result in the formation of clusters of biocol-loids, either attached to an interface or mobile within theaqueous phase. Clusters can also be initiated via biologicalprocesses, to form biolms (e.g., [23,76,129,21,94,126,7]).Individual or clustered biocolloids can break o from thelm, releasing them into the owing aqueous medium(e.g., [18,140,127]).

    Biological processes such as growth, death, predation,parasitism and other processes can result in the increase

    Advectionalongcentral

    streamline

    Diffusion into

    stagnant region

    Straining

    Adsorption

    Flow direction

    Fig. 1. Schematic of pore scale processes under saturated ow.NR Reynolds number ()NvdW van der Waals number ()SWA soilwaterair interface ()SWI soilwater interface ()T temperature (K)T/C pore throat to colloid diameter (m/m)U pore water velocity (m/s)g collision eciency ()hm soil matrix porosity ()lw viscosity of aqueous solution (kg/m s)qp particle density (kg/m

    3)qw density of aqueous solution (kg/m

    3)

    Flow direction(vertical)

    Gravitational

    ter Resources 30 (2007) 13921407 1393or removal of mobile or attached microorganisms (e.g.,[30,36,48,91]). Many of these biological processes are alsoinuenced by physical and chemicals conditions, and thechanges in these conditions. Although these processes areextremely important, they are outside the scope of thismanuscript, which will focus on the transport of biocol-loids through porous media.

    Conventional methods to investigate biocolloid trans-port through saturated and unsaturated porous mediaoften include column and eld studies (e.g.,[58,67,86,30,42,53,114,130]). These experiments are gener-ally limited to the evaluation of euent breakthroughcurves and destructive sampling at the end of the experi-mentation that represent some average behavior of biocol-loids. Some studies focus on the collection ofbiogeochemical parameters that can monitor the biologicalprocess. Unfortunately, direct observations of the internalprocesses occurring are not possible, and mechanisms thatcontrol biocolloid transport are therefore poorly under-stood. A useful method to investigate pore scale processesimplicates the use of micromodels.

    In recent years, micromodels have been increasinglyemployed to study the fate and transport of colloids and

    Diffusionoff central

    streamlines

    Interception

    Fig. 2. Schematic of processes that lead to attachment.

  • Table 1Micromodel and ow cell studies of biocolloid transport

    Conditions Reference Material Pattern Dimensions Key ndings

    Saturatedporous medium

    [75] Etched glass Homogeneous periodic network Pore depth 80 lm, pore width360 lm

    Dispersion of E. coli anddetermination of dispersioncoecient

    [16] PDMS on glass Homogeneous network ofsquares

    2 2 lm square arrays spaced1 lm apart

    Particle deposition (adsorption)inheterogeneously charged surfaces

    [8] Etched silicon Homogenous network of circles,300 lm diameter

    Pore depth 50 lm, pore space173 lm, pore throat 35 lm

    Transport along streamlines andattachment

    [121,122] Etched silicon Realistic sand pore network Pore depth 15 lm, porediameters: 2.430 lm, porethroat 110 lm

    Pathway a function of colloid size,higher dispersion for small colloids

    [4] PDMS Homogeneous network ofsquares

    Pore depth 12 lm, pore throats10 and 20 lm

    Inuence of colloidal size on colloidaldispersion

    Saturated porousmedium withbiolm

    [123] Poly(methyl methacrylate)(PMMA) and glass Parallel plate ow cell 5.5 3.8 0.06 cm (l w h)Adhesionof

    biocolloids tosolid substrata

    [31] Etched silicon Network of squares; simulationof a ne homogeneous sand;porosity 37%

    Pore depth 200 lm, meanchannel width 75 lm grain sizes(0.5 mm), pore sizes (50200 lm)

    Rerouting of ow due to biomassgrowth

    [32] Etched silicon Network of squares, channelwidth randomly distributed

    Pore depth 200 lm, channelwidth 75 and 123 lm

    Conductivity decreases correlatedwith biolm growth Microorganisms strongly attachingto surfaces and to each other are themost eective at reducingpermeability Continuous, rather than periodic,disinfection is recommended

    [73] Etched glass Homogeneous triangular lattice Pore bodies 300 lm, pore throats30100 lm

    Biomass accumulation causespermeability reduction Existence of a critical shear stress

    [125] Etched glass Homogeneous triangular lattice Pore bodies 300 lm, pore throats30130 lm

    Exopolymer production by bacterialeads to biomass plug and pressuredrop increase

    [90] Etched silicon Homogenous network of circles 1 cm 1 cm packed array of300 lm diameter silicon postsseparated by 35 lm pore throats15 lm deep

    Biomass growth changes water owpaths

    [78] Steel and glass Flow cells packed with quartzsand

    8 3 54 mm Colloidbiolm interactions haveimplications for colloid transport andremobilizationSolution low ionic strength (I)remobilizes attached bacterialbiomassBiomass and clay colloidsremobilized by deplecting I orincreasing ow rate

    1394A.A.Keller,

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  • Conditions

    Reference

    Material

    Pattern

    Dimensions

    Key

    ndings

    [11]

    Glass

    Sandstonerock

    Pore

    depth

    34.9lm

    Biolm

    developmentand

    accumulationin

    leadingfacesof

    obstructions

    Un-saturated

    porousmedium

    [138,139]

    Etched

    glass

    Hexagonal,quadrilateraland

    heterogeneousnetworks

    Pore

    sizesof20400

    lm1250

    pore

    bodieseach

    AWIisan

    additionalsorbentphase

    forcolloids

    [46]

    poly(m

    ethyl

    methacrylate)

    (PMMA)

    Parallelplateowcham

    ber

    7650.6mm

    (lwh)

    AWIdetaches

    particles

    from

    collectorsurface

    [121,122]

    Etched

    silicon

    Realisticsandpore

    network

    Pore

    depth

    15lm,pore

    diameters:2.430

    lm,pore

    throat

    110

    lm

    Colloidsattached

    toAWIform

    acluster

    withthedissolutionofair

    bubble

    [25]

    Sem

    i-translucentsilica

    sand

    Inltrationcham

    ber

    264.80.5cm

    0.430.60mm

    graindiameter

    Colloidaltrappingat

    SWAInterface

    [5]

    PDMS

    Realisticsandpore

    network

    Pore

    diameters:3060lm

    Rem

    obilizationofbiocolloidsby

    interm

    ittentunsaturatedow

    A.A. Keller, M. Auset / Advances in Waspecically biocolloids at the pore scale (Table 1). Micro-models are transparent physical models of porous media,with a pore size in the range of 10100 lm, etched in glass(e.g., [138,75]), silicon wafers (e.g., [69,121,122,19,8]), orpolymer substrates (e.g., [4]) like the ones presented inFig. 3. Some recent studies have used silica particles asthe porous media in three dimensions, visualizing the topsurface (e.g., [25]). In addition, ow cells have also beenused to study physical processes such as attachment,detachment and mass transfer rates (e.g., [59,123,80,82]).Recent work by Sherwood et al., Olson et al., [118,97] usingmagnetic resonance imaging has also served to betterunderstand biocolloid transport at small scales. The mainpurpose of these microscale experiments has been to visual-ize biocolloid transport processes at the dimensions of apore or collection of pores, validating or negating hypoth-esis that have been put forward with regards to processesthat had not been actually observed; a secondary objectivehas been to quantify the importance of these processes.Although the use of micromodels has increased, there arestill many questions that need to be answered with regardsto attachment and detachment from interfaces, and the roleof physical, chemical and biological heterogeneity in suchprocesses.

    In this paper, we review the most recent ndings on bio-colloid migration and immobilization at the pore scaleusing micromodels. The experimental details can be foundin the original papers, so only the most relevant conditionsare discussed in this manuscript. We begin by examiningthe processes that aect biocolloid advection and disper-sion under saturated conditions. We then explore the roleof interfaces on biocolloid retention in saturated and unsat-urated porous media. We conclude with recommendationsfor future research.

    2. Biocolloid transport processes in saturated porous media

    2.1. Advection, diusion, dispersion

    Imposing a pressure gradient across a porous mediumrapidly generates a stable ow eld with dened stream-lines. Even fairly signicant changes in pressure gradienthave minimal inuence on the streamlines that dene thepathways within the medium, although these changes cer-tainly aect the rate of transport. Colloids and solutesundergo advective transport moving with the pore-water,whose velocity is governed by the hydraulic pressure gradi-ent, porosity, and permeability distribution [44]. Solutionof the NavierStokes equations at the pore scale (e.g.,[121]) indicates that even for fairly complex geometries,the local velocity prole is nearly parabolic [26,8], withthe faster streamlines in the center of the pore throats,and slower streamlines along the solidwater interface(Fig. 4). In the complex geometries of natural porousmedia, there are many regions which are almost stagnant

    ter Resources 30 (2007) 13921407 1395(darker blue regions in Fig. 4), while only a few pathwaysexhibit signicant ow (lighter blue to yellow to red regions

  • Water Resources 30 (2007) 139214071396 A.A. Keller, M. Auset / Advances inin Fig. 4). The pressure gradient is from right to left in thissimulation that solves the NavierStokes equations for arealistic pore space. Thus, solutes or colloids that begintheir transport near the central streamlines are advectedat a considerably higher rate than those along the SWI.

    Fig. 3. Scanning electron micrographs of PDMS and silicon wafer micromodels. Typical pore size 10100 lm, pore throats 320 lm.

    Fig. 4. Solution of NavierStokes equation for a complex pore spacegeometry using FEMLAB. Flow is from right to left, and in the laminarregime.Since diusion due to Brownian motion is inversely pro-portional to the mass of the molecule or particle, soluteshave a much higher probability of transferring amongstreamlines than colloids. Even the smallest colloidsobserved to date (MS-2 viruses, about 50 nm in diameter)exhibit very low transfer among streamlines within thelength of a typical micromodel (a few mm). At largerscales, with increasing transport time, transfer amongstreamlines will eventually occur, slowing down some ofthe faster colloids and speeding up some of the slower ones.However, low diusion tends to focus mobile colloidsalong the certain streamlines; slower colloids near theSWI have a higher probability of depositing onto theSWI by a number of processes. Larger colloids are forcedto remain near the central streamlines, while the smallercolloids can sample a wider range of streamlines (Fig. 5).The schematic shows two sizes of colloids (2 and 7 lm indiameter) in two dierent pore throats (10 and 20 lm indiameter) and the range of streamlines they can travelthrough as indicated by the black rectangles. For a smallerpore throat to colloid diameter ratio (T/C ratio), the col-loid is severely constrained to the central streamlines.

    Under controlled conditions, Auset and Keller [4]showed that some colloids follow these streamlines evenFig. 5. Schematic of possible distribution of small (2 lm) and largecolloids (7 lm) within pore throats of dierent diameters (10 and 20 lm).

  • Waalong sharp turns into perpendicular pore throats at theend of pore bodies. Smaller colloids can easily follow alongthe pore walls, making many detours along their path,while the larger colloids tend to stay on the central stream-lines and in general have fewer detours (Fig. 6). For thesame size of colloids, travel through narrower pore throatsresults in shorter average residence time and a narrower

    Fig. 6. Schematic of dierential colloid transport along streamlinescalculated using the solution to the NavierStokes equation for a simplepore geometry.

    A.A. Keller, M. Auset / Advances indistribution of residence times, relative to a wider pore net-work (Fig. 7a,b). Travel through a more complex network,closer to real pore spaces, results in longer average resi-dence time and a broader distribution than those of simplepore networks (Fig. 7c). Colloid residence time is also afunction of the pressure gradient (Fig. 8); large gradientsresult in wider dierences in residence time between col-loids of dierent sizes, while small gradients tend to reducethe dierences. Torquato [131] also discusses the eect ofheterogeneity on colloid dispersion.

    For complex pore geometries such as that shown inFig. 4, the dierence in colloid size has increasing impor-tance. Smaller colloids sample many of the pathways avail-able to them, traveling though both narrow and wide porethroats, and are thus more likely to move into regionswhere ow is almost stagnant (Fig. 4). Larger colloidsare excluded from many regions and pathways, in partbecause they remain in the central streamlines, as shownby Sirivithayapakorn and Keller [121]. This dierentialbehavior can have a signicant eect on the average resi-dence time of dierent colloid sizes, since the larger colloidscan travel at signicant faster velocities through the porousmedium compared to the smaller colloids. At the porescale, this phenomenon can result in colloid velocities thatare 1.53 times greater than the average water velocity(Fig. 9). This eect has been designated as a velocityter Resources 30 (2007) 13921407 1397enhancement (e.g., [52,4,70]). Mathematically, it has beenproposed that this could be handled as a retardation factorless than unity or a lower eective porosity [43]. Due to col-loid removal processes the magnitude of this eectdecreases with travel distance, as shown by Keller et al.[70], but can nevertheless result in earlier breakthrough ofcolloids moving through a porous medium, as seen in lar-ger scale studies (Table 2).

    An important result from these studies is that dispersiv-ity, which is generally considered an intrinsic property ofthe porous medium [10], is a function of colloid size [4];it may be more appropriate to denominate it apparent dis-persivity when discussing colloid transport. The eect had

    Fig. 7. Experimentally measured residence time distributions for 2 lmcolloids in dierent pore geometries, with a pressure gradient of 500 Paacross the micromodel (visualization method as presented in [4]).

  • Wa1398 A.A. Keller, M. Auset / Advances inbeen observed at larger scales. For example, Shonnardet al.,Pang et al. [119,98], analyzing earlier breakthroughof microbes relative to a tracer, assigned a lower dispersiv-ity for microbes than for solutes. They noted dierences indispersion that led to faster breakthrough, although theywere unable to pinpoint the mechanism that caused thesedierences. Sinton et al. [120] reported reductions in thedispersivity when modeling migration of dierent sized

    Fig. 8. Comparison between geometries at dierent pressure gradients. Mean rmodel (circles), 20 lm-channel model (squares), zig-zag model (triangle). (a) 1

    Fig. 9. Ratio of ensemble mean velocity and the straight path meanvelocity for four colloid sizes, at the highest-pressure gradient (1500 Pa) ineach pore geometry.esidence time as a function of colloidal diameter. Ten micrometer-channel500 Pa; (b) 1000 Pa; (c) 500 Pa and (d) 100 Pa.

    ter Resources 30 (2007) 13921407microorganisms in an alluvial gravel aquifer. Schulze-Mak-uch et al. [116] also found variable longitudinal dispersivi-ties between bromide and MS2 virus in a model aquifer andshowed that vertical dispersion of MS2 is actually less thanthat of bromide. The micromodel studies have provided thevisual explanation for these macroscale observations.

    2.2. Exclusion

    A number of colloid exclusion processes have been dis-cussed in the literature (e.g., [43,44,13,12]). The most evi-dent exclusion process occurs when the colloid diameteris larger or equal to the pore throat to be entered, resultingin either exclusion (the colloid does not enter the downgra-dient pore space) or straining, with attachment of the col-loid to the SWI. A more subtle exclusion process wasobserved in the micromodel experiments conducted by Sir-ivithayapakorn and Keller [121,122] which revealed thatthe pore T/C ratio threshold for entering a pore throatwas about 1.5, due to the hydrodynamics of the system.Since colloids are focused towards the central streamlines,they rarely enter small pore throats. In these studies, morethan 100 colloids were tracked through various pores, andthe T/C threshold seemed to hold for various sizes andtypes of colloids, including viruses [121,122]. The pressuregradient was seen not to have a signicant eect on theT/C threshold. Although the exact T/C ratio thresholdwas not determined, one can use this value to consider thatbiocolloids larger than about 15 lm can be excluded from

  • Table 2Column and eld studies of colloid velocity enhancement

    Reference Travel distance Medium, particle size Colloids, size (lm) Velocity enhancement Velocity (m/d)

    Colloid transport through laboratory columns

    [153] 110 cm Particles, 18, 40, 58 lm Microspheres,1, 2, 3, 5, 7, 10 lm 1.031.09 3.27

    [150] 30 cm Quartz powder, 30 lm Microspheres 0.04 lm 1.06 0.1440.17 lm 1.110.31 lm 1.13

    [147] 60 cm Column sediments, 0.51 mm 0.2 lm 1.9 1.40.7 lm 1.71.3 lm 1.6

    [50] 46 cm Soil aggregates 12 mm Microspheres 0.11 lm 1.4 10

    [52] 10 cm Coarse sand, 1.42.4 mm Medium sand, 0.40.5 mm Cryptosporidium parvum oocysts, 4.55.5 lm 11.38 0.7Fine sand, 0.180.25 mm 7

    [29] 40 cm 50 cm Sand sediments Comamonas sp., 0.6 1.1 lm 1.11.551.8 0.5

    [149] 120 cm Crushed int gravel,1.53 mm Aeolian quartz silt, 260 lm 0.751.08 10.4432

    [116] 109 cm Sieved play sand Phage MS2 = 0.024 lm 0.88 (pH 6.1) 2301.03 (pH 7.5)1.14 (pH 8.1)

    [70] 60 cm Medium sand Microspheres, 3 and 0.05 1.051.09 1.4Phage MS2 = 0.025 lm 1.111.14 14

    Field studies of colloid transport

    [152] Aquifer Escherichia coli 1.161.2

    [148] 0.57 m Sand aquifer 1.001.3 0.431.081.62 m Fulvic acid, 1 nm 1.12.3 0.360.624

    Polystyrene sulphonate, 20 nm 1.041.11 0.61.31.01.4 0.431.08

    [146] 6.9 m downgradient Sandy aquifer, 0.5 mm Carboxylated microspheres 0.23 lm 1.4 0.330.53 lm 1.40.91 lm 1.41.35 lm 1.1

    [151] 385 m Alluvial gravel aquifer Fecal coliforms 1.29 160F-RNA coliphages 1.88Escherichia coli,J6-2 1.05Phage MS2 1.25

    [98] 61.63 m Alluvial gravel aquifer Bacillus subtilis endospores 1.16 64

    [120] 1218 m Alluvial gravel aquifer Escherichia coli, 1.56 lm 1.3 and 2 94Endospores, 0.81.5 lm 1.22 94Phage MS2, 0.026 lm 1.21 72

    [144] 0.30 m Colluvial aquifer,silt to gravel size particles Microsphere, 0.98 lm 1.810.55 m 1.51.81 m 1.1

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  • most small pore throats on the order of a few lm [121,122].A third exclusion process can occur for higher pressure gra-dients, since the colloids will tend to by-pass relatively stag-nant regions, traveling along the central streamlines. Inaddition, larger colloids are excluded from some of thestreamlines near the pore body and pore throat walls[121,122]. Finally, biocolloids may have surface chargesthat result in repulsion from the grain surfaces, thusexcluding them from certain pore regions (e.g., [113]).

    The size of the microbe had previously been observed tobe an important factor in bacterial transport in porousmedia (e.g., [41,39,29]). Variation on the macroscopictransport behavior of dierent sized biocolloids can benow explained by mechanisms that occur at the scale ofpores and pore networks. All four exclusion processesresult in selectively faster transport of larger colloids, rela-tive to smaller colloids.

    stant (m/s2), lw = viscosity of aqueous solution (kg/m s),U = pore water velocity (m/s), dp = particle eective diam-eter (m), dg = eective grain diameter (m), As = soil specicconstant related to hm = soil matrix porosity (),kB = Boltzmanns constant (J/K), and T = temperature(K). Recently, Tufenkji and Elimelech [133] have proposedthe following rened correlation based on experimentalevidence:

    g 2:4A1=3S N0:081R N0:715Pe N 0:052vdW 0:55ASN 1:675R N 0:125A 0:22N0:24R N 1:11G N 0:053vdW 3

    where NR dpdg ; NPe UdpD1

    ; N vdW AkBT ;

    NA A12plwa2pU

    ; NG 29

    a2pqp qfglU

    ;

    D1 = colloid bulk diusion coecient (m2/s), A = Hamaker

    21 20

    1400 A.A. Keller, M. Auset / Advances in Water Resources 30 (2007) 139214072.3. Collision with SWI

    From a theoretical perspective, colloids are thought toreach the SWI based on three mechanisms: interception,diusion and gravitational deposition. The theoreticalframework was put forward by Yao et al. [142] and Rajag-opalan and Tien [102], and has since been rened by severalauthors, in particular by Rajagopalan et al., Ryan andElimelech [103,109]. Based on this theoretical approach,the probability of a collision can be estimated from:

    g 0:897As

    3p kBT

    lwdpdgU

    2=3 32As

    dpdg

    2 qp qwg

    18lwUdp

    1As 21 p5=2 3p 3p5 2p6; p 1 hm1=3 2

    where qp = particle density (kg/m3), qw = density of aque-

    ous solution (kg/m3), g = gravitational acceleration con-Fig. 10. Estimate of relative importance of interception, diusion and gravitavelocities, for colloids of (a) 50 nm; (b) 1.0 lm; (c) 2.5 lm and (d) 5.0 lm.constant (3 10 4 10 J), and ap = particle radius(m). The three terms correspond to interception, diusionand gravitational deposition.

    Using general values for biocolloids, such as a particledensity of 1050 kg/m3 (ref) and particle size ranging from50 nm to 5 lm, the relative importance of these three pro-cesses as a function of velocity can be estimated using Eq.(3) (Fig. 10), considering a porosity of 30% and an eectivegrain diameter of 100 lm (ne sand). The range of owvelocities corresponds to a few cm/d to about 100 m/d,which is the range of interest for transport in porous media.From Eq. (1), interception is considered to be mostly afunction of the relative size ratio between the colloid andthe grains of the porous medium, as well as the porosityvia As, independent of U. Interception is expected to bestrongly inuenced by matrix porosity, particularly asporosity decreases below 10%. However, the empirical evi-dence used to parameterize Eq. (3) indicates that intercep-tion is in fact a function of ow velocity, decreasing withtional deposition, and total collision probability (Eq. (3)) at dierent ow

  • increasing velocity. This was recently observed in micro-model studies by Baumann and Werth [8]. These experi-ments show that at high ow velocities interception is lessprobable, since the colloids follow along the streamlinesand are generally diverted from the grain surfaces.

    For small biocolloids such as viruses and microorgan-isms up to about 1 lm, interception is thought to be negli-gible, while diusion dominates over gravitationaldeposition at all ow velocities of interest (Fig. 10a,b).From the micromodel studies and calculation of the veloc-ity eld within a complex pore network, there are regionsof stagnant water which are shielded from the main owdirection by the grains, are in crevasses or dead end pores,or along the walls of wide pore bodies (Fig. 11). Small bio-colloids are likely to accumulate initially in these regions,since they are more likely to be traveling along thesestreamlines and can more easily diuse into stagnantregions. For larger biocolloids, interception should domi-nate, followed by diusion (Fig. 10d). Gravitational depo-sition becomes important only for ow velocities less than1 106 m/s, or on the order of mm/day, since biocolloidsthat are almost buoyancy neutral.

    2.4. Attachment

    stability [62]. Recently, work by Tufenkji and Elimelech,Redman et al. [134,105] suggests that additional aspectsneed to be considered. Grain surface composition andcharge have been shown to be important (e.g.,[135,89,56]), as well as the biocolloid surface proteinsand other charged chemical species (e.g., [74,136]). Basedon theoretical calculations, Baumann and Werth [8] esti-mated that the probability of attachment for their colloidsis in the range of 104106. Schijven et al. [115] reportedvalues for a of 0.000270.0014 for MS2 viruses in dunesand. Keller et al. [70] reported values of 0.0080.0026for MS2 viruses in medium sand at ow velocities of1.414 m/day. For Cryptosporidium, Harter et al. [52]reported values from 0.37 to 1.1 in sand. In Sedimentcores, Dong et al. [29] measured values of 0.0030.025for Comamonas sp. Most of the experimental evidence isfrom column studies, leaving this as an area of openresearch at the microscale.

    A number of studies have addressed the mechanisms ofbiocolloid attachment to the SWI and/or a growing bio-lm. A biolm may include cells as well as exopolymericsubstances that serve as a substrate modier for a numberof reasons (e.g., [22,17,47]). Dierent bacterial strains mayexhibit dierential attachment (e.g., [6]). Surface physico-

    A.A. Keller, M. Auset / Advances in Water Resources 30 (2007) 13921407 1401Once the biocolloid collides with the SWI, the proba-bility of attaching to the surface, also denominated theattachment eciency, a, is thought to be controlled byelectrostatic and van der Waals interactions [84]. Theseinteractions have been estimated using DerjaguinLan-dauVerweyOverbeek (DLVO) theory of biocolloidalFig. 11. Images of collision via interception and diusion into dead-end pores fwithin a PDMS micromodel. Clusters of colloids form even at very low ionicchemical properties inuence the ability of biocolloids toform biolms (e.g., [15,79,63,92]). These biolms caninduce changes in hydrodynamic properties that inuencethe transport of subsequent biocolloids (e.g., [107]).Detachment of biocolloids from these biolms is a sourcefor downgradient sites, and may be inuenced by a varietyof processes including ow velocity and associated shearor 5 lm latex microspheres at an average velocity of 143 lm/s = 12 m/day,strength (deionized water) (visualization method as presented in [4]).

  • stress, chemical conditions or biolm thickness (e.g.,[57,45,140,60]).

    Particleparticle interactions may lead to attachmentand clustering (Fig. 11e,f, Fig. 12). Attached biocolloidscan also form large clusters up to a certain thickness

    matrix, and will also inuence the pathways of subsequentcolloids, modifying the dispersivity of the matrix. Clustersof colloids can also form at the AWI (discussed in thenext section), which upon release from the interface canlead to a collision with the SWI and subsequentattachment.

    3. Biocolloid transport processes in unsaturated porous

    media

    Flow and transport mechanisms in the unsaturated zonebecome more complicated than those in the saturated zonebecause of the presence of the AWI, ow discontinuitiesand wetting history [93,110]. Investigations at larger scaleshave shown that volumetric moisture content and porewater velocity play a key role in biocolloid transport inthe vadose zone (e.g., [101]). Biocolloid sorption at theAWI has been recognized as an important process for sev-eral years [138,139,100].

    Pore scale studies in unsaturated conditions [139,122]have shown that, like the SWI, the AWI serves as collectorof biocolloids (Fig. 13). Some of the colloids might also betrapped at the triple junction, the SWA. These interfaces(AWI and SWA) are therefore important barriers for bio-colloid transport. Colloids can interact with the AWI

    Fig. 12. Clustering of colloids that results in signicant modication ofpermeability and colloid transport pathways (visualization method aspresented in [4]).

    1402 A.A. Keller, M. Auset / Advances in Water Resources 30 (2007) 13921407(i.e., biolms, aggregates and laments, biowebs), untilsome of the cells in the interior become starved of a par-ticular chemical (e.g., electron acceptor, nutrients), lead-ing to rupture of the biolm and subsequent release(biosloughing) (e.g., [32]). These clusters can result in sig-nicant modication of the permeability of the porousFig. 13. Sequence showing the imbibition process that displaces the air phase, eEventually the air bubble dissolves, leading to the formation of clusters of colbreak up (visualization method as presented in [4]).through the same collision processes described before.However, in part due to the hydrophobicity of the AWIand the proliferation of these interfaces as the porousmatrix drains, the probability of attachment increasessignicantly.

    ventually leading to a detached air bubble with several colloids at the AWI.

    loids. The clusters can then be transported through the pore space, or can

  • WaThe earlier work visualizing colloid sorption at the AWIwas done under steady pore water ow [138], and it led tothe conclusion that colloids were sorbed irreversibly at theAWI. Increasing air saturation increased retention at theAWI [139]. These observations were supported by resultsof experiments on mass balance of breakthrough colloidconcentrations in sand columns [112,6466,77] where moreparticles were retained at lower water contents. Calcula-tions by Sirivithayapakorn and Keller [122] using DLVOtheory and evaluating the electrostatic and capillary forcesindicated that colloids, including MS2 viruses, should beheld almost irreversible at the AWI, once they cross overthe energy barrier for attachment. The energy barrierincreases with particle size, but is on the scale of 115 nmmeasured from the AWI into the bulk solution. Thus, col-loids can migrate slowly very near the AWI along stream-lines perpendicular to the interface and not be capturedunless they cross the energy barrier due to some mechanism(diusion or interception). On the other hand, water owaround entrapped air bubbles decreases substantially, sincethe dimensions of the water lms through which water owis on the order of a few lm2 at most [69].

    As with attachment to the SWI, biocolloid attachmentto the AWI is a function of ionic strength and the surfaceproperties of the biocolloid, such as hydrophobicity andsurface charge [138]. Increases in ionic strength will reducethe magnitude of the repulsive energy barrier between thenegatively charged airwater interface and the biocolloids,leading to progressively more favorable conditions forattachment and faster rates of airwater interface capture.

    Wan and Tokunaga [137] introduced an additionalmechanism of colloid immobilization in partially saturatedporous media. They used the concept of lm straining tosuggest that the transport of suspended colloids could beretarded due to physical restrictions imposed when thethickness of water lms is smaller than the diameter ofthe colloids. Wan and Tokunaga [137] estimated that theselms should be on the order of 2040 nm, which is consid-erably thinner than a 1 lm Escherichia coli, but may notcompletely immobilize a 25 nm virus. Chu et al. [20] esti-mated a lm thickness in the range of 1521 nm for dier-ent soils, at a water content of 0.170.29 cm3 cm3. In theircolumn studies, Keller et al. [70] estimated a thickness forthe water lms of 3060 nm in a medium sand and averagewater content of 0.110.18 cm3 cm3.

    According to Wan and Tokunaga [137], colloid reten-tion by lm straining depends on the existence of pendularring discontinuity, on the ratio of biocolloid size to lmwidth and on ow velocity. A pendular ring is dened aswater retained by capillarity around the adjacent grains.The possibility of pendular ring discontinuity augmentsas the capillary pressure decreases [27]. When the biocol-loid diameter is smaller than lm thickness, strainingremains ineective. When the biocolloid diameter is similaror bigger than lm thickness than surface tension forces

    A.A. Keller, M. Auset / Advances inretain biocolloids against grain surfaces. Crist et al. [25]provided visual evidence that biocolloid retention can alsooccur via trapping at the solidwaterair (SWA) interface.These thin water lms serve as storage locations for biocol-loids under unsaturated conditions, but may also serve toplace the biocolloid in direct contact with the SWI if thewater lm thickness decreases even more.

    Transient ow, generated by rainfall and snowmeltevents interspersed between dry periods or due to articialaquifer recharge or other anthropogenic actions, can pro-mote very rapid biocolloid mobilization (e.g., [34]). Undertransient conditions it has been observed that the move-ment of biocolloids is aected by the movement of air bub-bles and AWI (e.g., [46,45,71]). Sirivithayapakorn andKeller, Auset et al. [122,5] observed in micromodels howinltration events can mobilize the AWI, thicken the waterlms where colloids are immobilized, dissolve some of thegas phase and mobilize air bubbles (Fig. 13). First, theAWI is displaced as the water re-imbibes into the porousmedia. Colloids trapped in stagnant water regions are ableto remobilize. At some point, an air bubble breaks o fromthe main air phase. Colloids which were attached to theAWI remain attached until the AWI disappears. Eventu-ally, these rewetting processes lead to the remobilizationof all colloids trapped at the AWI or in thin water lms.

    Depending on colloid surface properties, the colloidsmay tend to cluster even in solution. However, in manycases surface charges are similar, creating an electrostaticbarrier that reduces the likelihood of clustering, as calcu-lated by Sirivithayapakorn and Keller [122] for MS2viruses and latex microspheres in a weak ionic solution.Nevertheless, colloid clusters can form at the AWI as thesize of the AWI shrinks, as observed in Fig. 13gh. Theseclusters might be stable enough to travel as a single body,or they might break up while traveling (Fig. 13i). Theseobservations suggest that coagulation at the AWI mayincrease the overall ltration for biocolloids transportedthrough the vadose zone.

    Whether all colloids on the AWI are actually at theSWA interface is an open question. In most micromodelvisualizations, the pore space being observed reects a thin(1050 lm) wedge between the top and bottom surfaces(see for example the diagram in [25]). Colloids whichappear to be at the AWI could in fact be at the SWA. Cer-tainly, some of the colloids observed in these experimentsare at the SWA, as suggested by Crist et al. [25]. Even asthe imbibing water front displaces the air phase in Figs.13bg, some of the colloids remain in place, suggestingattachment to the SWI at the same time that the colloidswere in contact with the AWI. However, in other sequences(e.g., [5,122]; and Fig. 13), some colloids are seen to rapidlytravel through the porous media as soon as the AWI disap-pears, suggesting no attachment to the SWI.

    Rewetting processes and intermittent wetting and dryingevents thus can result in signicant mobilization of biocol-loids that had been considered irreversibly retained at theAWI. Colloid remobilization appears to be a strong function

    ter Resources 30 (2007) 13921407 1403of particle size [71]. Although intermittent ltration providessignicant pathogen removal capacity, it is important to

  • unanswered. The conditions that result in attachment to

    ter and the UCSB Academic Senate. M. Auset thank the

    Wapostdoctoral fellowship support from the Secretara de Es-tado de Educacion y Universidades (Spain). Jose Saletaperformed the ESEM at MEIAF/UCSB (NSF 9977772).

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    [3] Allard A-S, Neilson AH. Bioremediation of organic waste sites: athe SWI need to be better understood at this scale. Surfaceheterogeneity needs to be characterized, so that we canmake better predictions of the probability of attachmentto a particular surface given information on the biocolloid,the attachment surface and the aqueous solution composi-tion. Detachment from the surface has also not been stud-ied in any detail at this scale, whether it is directly from thesurface or from a growing biolm. We need to understandthe eect of changes in physical, chemical and/or biologicalconditions that result in detachment of biocolloids. Biolog-ical processes that inuence surface characteristics and het-erogeneity are also targets for future research at this scale.Pore scale observations can help to validate our under-standing of the mechanisms that govern the macroscopicequations used to simulate the fate and transport of biocol-loids in porous media.

    Acknowledgements

    The authors also wish to acknowledge partial fundingfrom US EPA Exploratory Research Grant NumberR826268 and US EPA Grant Number R827133, as wellas from the University of California Water Resources Cen-take into consideration the potential for biocolloid remobi-lization over time.

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    4. Future research directions

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    A review of visualization techniques of biocolloid transport processes at the pore scale under saturated and unsaturated conditionsIntroductionBiocolloid transport processes in saturated porous mediaAdvection, diffusion, dispersionExclusionCollision with SWIAttachment

    Biocolloid transport processes in unsaturated porous mediaFuture research directionsAcknowledgementsReferences