Dimensioning metallic iron beds for efficient contaminant removal 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Noubactep C.(a,c), Caré S.(b) (a) Angewandte Geologie, Universität Göttingen, Goldschmidtstraße 3, D - 37077 Göttingen, Germany. (b) Université Paris-Est, Laboratoire Navier, Ecole des Ponts - ParisTech, LCPC, CNRS, 2 allée Kepler, 77420 Champs sur Marne, France. (c) Kultur und Nachhaltige Entwicklung CDD e.V., Postfach 1502, D - 37005 Göttingen, Germany. e-mail: cnoubac@gwdg.de; Tel. +49 551 39 3191, Fax: +49 551 399379 Abstract Remediation of contaminated groundwater is an expensive and lengthy process. Permeable reactive barrier of metallic iron (Fe0 PRB) is one of the leading technologies for groundwater remediation. One of the primary challenges for the Fe0 PRB technology is to appropriately size the reactive barrier (length, width, Fe0 proportion and nature of additive materials) to enable sufficient residence time for effective remediation. The size of a given Fe0 PRB depends mostly on accurate characterization of: (i) reaction mechanisms, and (ii) site-specific hydrogeologic parameters. Accordingly, the recent revision of the fundamental mechanisms of contaminant removal in Fe0/H2O systems requires the revision of the Fe0 PRB dimensioning strategy. Contaminants are basically removed by adsorption, co-precipitation and size exclusion in the entire Fe0 bed and not by chemical reduction at a moving reaction front. Principle calculations and analysis of data from all fields using water filtration on Fe0 bed demonstrated that: (i) mixing Fe0 and inert additives is a prerequisite for sustainability, (ii) used Fe0 amounts must represent 30 to 60 vol-% of the mixture, and (iii) Fe0 beds are deep-bed filtration systems. The major output of this study is that thicker barriers are needed for long service life. Fe0 filters for save drinking water production should use several filters in series to achieve the treatment goal. In all cases proper material selection is an essential issue. Keywords: Drinking water, Inert materials, Iron filter, Multi-filtration, Zerovalent iron. 1 1 Introduction 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 Packed beds with metallic iron (Fe0) are currently used as contaminant mitigating agent in several contexts including groundwater remediation, wastewater treatment and drinking water production [1-4]. Fe0-based materials are used in particular (i) as reducing agents in permeable reactive walls [5-8], and (ii) as reagents to assist biofiltration in household filters [3,9,10]. The fundamental process responsible for contaminant removal in both contexts is necessarily the oxidative dissolution of Fe0 (iron corrosion) which may be coupled with contaminant reduction (reactive walls) or the subsequent precipitation of iron hydroxides which may be coupled with contaminant adsorption and co-precipitation (household filters). Adsorption, co-precipitation and chemical transformations (oxidation and/or reduction) are not mutually exclusive [11-13]. It is obvious that in household filters and reactive walls, a synergy between these three processes is responsible for expected and observed decontamination. Moreover, these processes proceed in the inter-granular porosity of the packed beds which are made up of Fe0 (100 %) or a mixture of Fe0 and an inert material (e.g. gravel, pumice, sand) [2,14]. Because of the volumetric expansive nature of the process of iron corrosion [15], the porosity of the filtrating systems certainly decreases with increasing service life, possibly yielding complete permeability loss system (filter clogging) [16,17]. The filling of the pore volume by corrosion products is necessarily coupled with improved size exclusion capacity. Therefore, a fourth mechanism for decontamination in packed Fe0 beds is identified. The very recent concept that adsorption, co-precipitation and size exclusion are the fundamental mechanisms of aqueous decontamination in Fe0 packed beds [13] is yet to be discussed in the scientific literature. The two main objectives of this communication are (i) to give some arguments supporting the new concept, and (ii) to enumerate some consequences for the further development of the iron filtration technology. In this effort a particular 2 attention is paid to filter dimensioning or bed sizing. For the sake of clarity, the presentation will start with the short history of Fe 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 0 for reactive walls and household filters. 2 Metallic iron for reactive walls The Fe0 reactive wall technology is one aspect of the materialization of the original idea of McMurty and Elton [18] that a passive design “using natural groundwater flow and a treatment media” can “capture or treat the contaminants without the need for regeneration or replacement”. With the publication of this innovative concept in August 1985, an ongoing effort for efficient reactive materials for permeable reactive barriers started. In 1990, Gillham and his colleagues fortuitously found that corroding Fe0 (reductively) eliminated aqueous trichloroethylene [19]. This discovery was the starting point of remediation with elemental metals. Elemental metals (e.g. Al0, Fe0, Zn0 and bimetallics) are now recognized as competent alternatives for remediation of groundwater that is contaminated with reducible substances [8,20]. Currently, however, Fe0 has exceeded all expectations because non-reducible substances have been quantitatively removed as well. For example, aqueous ZnII which is thermodynamically non-reducible by Fe0 has been efficiently removed [21]. The results of Morrison et al. [21] attested the synergic effects of removal mechanisms as the investigated systems also contained MoVI and UVI. MoVI and UVI could be reduced to less soluble species. Furthermore, MoVI known for its poor adsorptive capability onto iron oxides at pH > 5 [22,23] was quantitatively removed, suggesting that improved size exclusion might had been effective. The concept that contaminants are fundamentally removed by adsorption and co-precipitation is consistent with many experimental observations which remained non-elucidated by the reductive transformation concept [11,12]. Although researchers are continuing to maintain the validity of the latter concept [24-26], the new concept was validated [27,28] and has been independently verified [29,30]. As a matter of course the concept of adsorption/co- precipitation (and size exclusion for packed bed) should have been challenged by researchers 3 working on remediation in Fe0/H2O systems. The motivation of using Fe0 at household level corroborates the validity of the adsorption/co-precipitation/size exclusion concept. 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 3 Metallic iron for household filters While using slow sand filtration for water treatment in rural Bangladesh, it was observed that the filter efficiency for arsenic removal depends on the iron content of natural waters. Arsenic was readily removed from Fe-rich natural waters. Accordingly, Fe0 is used “to provide a constant input of iron (soluble or surface precipitate) for groundwater low in soluble iron” [32]. The very efficient resulting filter for As removal was the 3-Kolsi filter [10,33]. A typical 3-Kolsi filter contained a layer of about 3 kg Fe0 (100 % Fe0). However, the 3-Kolsi filter was not sustainable as it clogged after some 8 weeks of operation [3,34]. The remarkable efficiency of 3-Kolsi filters has prompted researchers to further develop the system for improved sustainability [9,10,31,34-37]. The best product is the SONO arsenic filter in which the 100 % Fe0 layer is replaced by a proprietary porous Fe0-based material (termed as Composite Iron Material - CIM) [32,33]. The two most important features of CIM are: (i) its porosity and (ii) its low content of Fe0. In consequence, two opposite effects may be observed: (i) the porous structure of the CIM induces a larger reactive surface compared to non-porous Fe0 particle (or compact Fe0); the internal porosity could be regarded as magazine for in-situ generated iron corrosion products and (ii) less initial Fe0 is used compared to compact Fe0 particle. The former effect (larger reactive surface) is well-documented as tool to improve Fe0 efficiency and is the rationale for using nano-scale Fe0 for water treatment [38]. The latter effect (less initial Fe0) could not improve Fe0 efficiency in term of Fe0 reactivity but is known as tool to delay or avoid porosity loss [39-41]. of the filter system, but not the second. These observations suggest that the 100 % Fe0 layer in the 3-Kolsi filter was the major reason for its too short service life. Leupin and Hug [35] have considerably reduced the proportion of Fe0 (1.5 g Fe0 for 60 g sand). More recently, Gottinger [42] demonstrated in a 4 pilot study that a volumetric mixture Fe0:sand of 30:70 was very efficient for water treatment at a small community level. 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 It is important to notice that household Fe0 filters primarily treat water of unknown composition. Design efforts are focused on keeping filter permeability. Available filters were designed for As removal but SONO filters have efficiently removed several other chemicals and pathogens [32,43,44]. It is obvious that Fe0-based filters regarded as “Fe0 assisted sand filtration” are not designed to chemically reduce any contaminant. Even arsenics for which the majority of household filters were designed is removed by adsorption, co-precipitation and size exclusion, although AsV reduction to AsIII and As0 is thermodynamically favorable ([3,45] and references therein). A typical SONO filter contains 5 to 10 kg of porous CIM (CIM: 92 - 94 % Fe, 4 - 5 % C, 1 - 2 % SiO2, 1 - 2 % Mn, 1 - 2 % S,P) and may function for up to 11 years while filtering waters containing up to 1000 μg As/L. It is important to notice that only a fraction of the 92 - 94 % Fe in SONO filters is in metallic form (Fe0) and could undergo volumetric expansion. Therefore, learning from SONO filters to design efficient Fe0 beds consists in reducing the proportion of Fe0 and create place for in-situ generated iron corrosion products. Prior to discuss an efficient designing tool, an overview of current design options to limit the impact of fouling in Fe0 PRB will be given. 4 Current design approach to limit Fe0 PRB clogging Fe0 PRBs are currently believed to create redox conditions for contaminant degradation or immobilization [2]. Accordingly, the precipitation of iron corrosion products and other secondary minerals is regarded as perturbing side effect yielding reactivity and porosity loss [2,14,16,17]. Accordingly, the design of a PRB requires profound knowledge of local water flow velocity (residence time), aquifer porosity, influent contaminant concentration. Additionally, the contaminant degradation rate by used Fe0 is usually estimated in laboratory and pilot studies and used to size the PRB. Sizing aspects include the amount of Fe0 to be 5 used and the thickness of the bed (filter or wall). The first problem with this approach is that used Fe 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 0 media can not be each other compared in reactivity as there is no standard procedure to this end [46]. Recently, Li and Benson [2] identified and discussed five relevant strategies to limit the clogging of Fe0 PRBs: (i) pea gravel equalization zones up gradient and down gradient of the reactive zone to equalize flows (strategy 1), (ii) placement of a sacrificial pre-treatment zone upstream of the reactive medium (strategy 2), (iii) pH adjustment (strategy 3), (iv) use of larger Fe0 particles (strategy 4), and (v) periodic mixing of the Fe0 to break up and redistribute secondary minerals (strategy 5). In the light of the concept that contaminants are basically removed by adsorption, co- precipitation and size exclusion, the following comments can be made on the five strategies. Strategy 1 necessarily has a double function as quantitative contaminant removal may occur in the equalization zones. The same remark is valid for strategy 2 as this study shows that reactive zones with 100 % Fe0 are not sustainable. Strategy 3 is recommended because iron corrosion is sustained by FeS2 dissolution (or H+ production). Accordingly, FeS2 should be regarded as useful reactive additive (Fe0/FeS2 system or Fe0/FeS2/sand system). Hereby, care should be taken that the added proportion of FeS2 don’t induce a pH shift below a value of 5.5. In fact, if the final pH < 5.5 the Fe solubility is increased and the effluent may exhibit too high Fe concentration. On the other hand, if dissolve Fe is transported away from the reactive zone, the bed porosity will increase and the filtration efficiency will decrease. Another positively tested reactive additive is MnO2 [29,47,48]. MnO2 reductive dissolution is driven by FeII from Fe0 oxidation, sustaining Fe0 dissolution is beneficial for the decontamination process. Strategy 4 will be effective only at certain sites depending on the extent of contamination. In fact, larger size Fe0 means larger pore space and poorer size exclusion. Finally, Strategy 5 can be rendered superfluous by a proper bed design. 6 The approach based on the concept that contaminants are removed by adsorption, co- precipitation and size exclusion has the advantage that only iron corrosion with site-specific water or relevant model water has to be characterized for proper barrier design. Accordingly, an aggressive groundwater will rapidly corrode iron, rendering a thin wall satisfactorily. For less aggressive waters a thicker wall is necessary to enable completed contaminant removal by multi-filtration (see discussion section). The same systematic can be applied to Fe 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 0 media of various reactivity. The less reactive a material in a groundwater, the thicker the reactive barrier. Therefore, the selection of the most appropriate Fe0 material at each site is a key issue for wall or generally bed efficiency. The next section is focused on better designing Fe0 beds. 5 Designing Fe0 beds The presentation above suggests that Fe0 bed design must be based on the available pore volume for volumetric expansion of corroding iron. Accordingly, for a given bed size replacing a portion of reactive iron by an inert material is the first tool to extend filter service life. The very first additive material in this regard is a non-porous material as quartz (0 % porosity). The next step could consist in partly or totally replacing quartz by porous materials like sandstone (up to 40 % porosity) or pumice (up to 90 % porosity). In each case a critical Fe0:additive ratio must exist for which bed porosity is lost upon Fe0 depletion as illustrated below. 5.1 Sustaining Fe0 bed reactivity by addition of inert materials: Bed design A random packed Fe0 bed of identical spheres is considered. The initial bed porosity Φ0 has a fundamental value of 36 % [49]. In other words, regardless from the actual dimension of the bed, 64 % of the bed volume V is filled by dense Fe0 and 36 % is available as inter-granular pore space for corrosion products. It can be noticed that the compactness C of the granular medium is C=1-Φ0=Vinitial Fe / V=0.64 where Vinitial Fe is the initial volume of iron. If a volumetric fraction of Fe0 is replaced by non-porous quartz (with the same particle diameter), 36 % of the bed volume is still available for corrosion products but more Fe0 will corrode 7 before the bed porosity decreases to zero (Fig. 1). Calculations could enable the identification of critical Fe 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 0:additive ratios. Two hypothetical examples will be used here for illustration: (i) a rectangular reactive wall, and (ii) a cylindrical household filter. The dimensions of the demonstration reactive wall in Borden (Ontario, Canada) are used for the hypothetical reactive wall [5]. The dimensions of the wall were 5.5 x 1.6 x 2.2 m (l x w x h), giving a volume V = 19.36 m3. For the hypothetical cylindrical household filter the dimensions of field columns used by Westerhoff and James [49] are adopted. The columns had a total capacity or volume V = 4.022.10-3 m3 (4.022 L): diameter 7.5 cm and height 91 cm. The filling of the bed porosity by iron corrosion products can be estimated from a simplified modeling (Fig. 1) based on the following assumptions: (i) uniform corrosion: the diameter reduction of the particle is the same for all the Fe0 particles, (ii) iron corrosion products are fluid enough to progressively fill available pore space. Assuming that the coefficient of volumetric expansion (η) of the iron corrosion products is: η = Voxides/VFe (1) where Voxides is the volume of the iron corrosion products and VFe the volume of parent Fe0. The surplus volume of the iron corrosion products contributing to porosity loss is V’oxides. Per definition V’oxides is the difference between the volume Voxides of iron corrosion products and the volume VFe of parent Fe0. V’oxides is given by Eq. 2: V’oxides = (η - 1) * VFe (2) Assuming that the bed is clogged when the volume V’oxides is equal to the initial inter granular voids (Φ0.V), the volume V Fe, clogging of the consumed iron leading to clogging of the bed is then estimated by: 1 V.=V 0ginglogc,Fe −η Φ . (3) 203 8 In this case (Eq.3), the volume V Fe, clogging of the consumed iron is inferior to the initial volume of dense Fe 204 205 206 207 208 0. It means that clogging appears before depletion of Fe. It can be noticed that, in some cases, the initial volume of iron may be too low so that there is no clogging and the bed porosity is not completely filled by iron corrosion products. The residual porosity Φr defined by Φr = V residual voids / V is evaluated by Eq. 4: V V).1( consumedFe0r −η−Φ=Φ (4) 209 210 211 212 where VconsumedFe is the volume of Fe which is consumed. When the clogging appears before depletion of Fe0, the volume VconsumedFe is given by the equation 3 and the residual porosity is equal to Φr=0. When there is no clogging, the volume VconsumedFe is equal to the initial volume of Fe and there is residual porosity ( 0r ≠Φ ). 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 These calculations allow the evaluation of the efficiency of the bed (reactive wall or filter) related to the possible clogging. Two cases are discussed in the following. 5.2 Case of a 100 % Fe0 bed Considering that the density of Fe0 is 7,800 kg/m3, the 12.4 m3 (64 % of the total volume) available in the hypothetical reactive wall (Tab. 1) can be filled by 96,645 kg of Fe0. The calculations in Tab. 2 demonstrated that from this Fe0 amount only a maximum of 50,336 kg can be oxidized to yield porosity loss (no residual porosity, Φr=0). The weight proportion of consumed Fe0 ranges between 10.4 % and 52.1 % when the main corrosion products are Fe(OH)3.3H2O (ferrihyrite) or Fe2O3 (hematite) respectively, showing that 100 % Fe0 reactive walls are pure material wastage. The calculations for the hypothetical household filter demonstrated that only 2.1 to 10.5 kg of Fe0 will be consumed corresponding to the same weight percent like for the hypothetical reactive wall. Ideally, when Fe0 is mixed with quartz, a bed containing more than 52.1 wt-% Fe0 of the mass of Fe0 necessary to have a 100 % Fe0 bed should not be constructed because bed clogging will happen and excess Fe0 will not react (material wastage). The actual Fe0 proportion will 9 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 depend on its intrinsic reactivity and the kinetics of iron oxidative dissolution. Kinetics aspects are not considered in this study. 5.3 Case of a volumetric Fe0:quartz ratio of 50:50 The calculations above suggests that only about 10.4 to 52.1 wt-% Fe0 is necessary to fill the pore space of a 100 % Fe0 filter regardless from the bed dimensions. In this section, the calculations are made for a volumetric Fe0:quartz ratio of 50:50. To calculate the corresponding weight ratio, one should use the particle size and the densities. However, because the same beds (wall and filter) are used, the bed volume occupied by 50 vol-% is necessarily one half of the value used in the pure Fe0 bed: (i) 6.20 m3 or 48,322 kg for the wall and (ii) 1.3*10-3 m3 (1.3 L) or 10.4 kg for the filter. It is evident that the Fe0 masses consumed to yield bed clogging are the same as in the 100 % Fe0 case. The percent consumption is then higher (more iron is consumed to obtain the same volume of iron corrosion products at Fe0 depletion, Fig. 1 and varies from 21 % for Fe(OH)3.3H2O to 100 % for Fe2O3 and Fe3O4. The bed containing 50 vol-% Fe0 is necessarily clogged at Fe0 depletion; no residual porosity (Φr=0). However, an ideal treatment system should keep a certain residual porosity. This is particularly important for subsurface reactive barriers. To warrant a residual porosity (Φr ≠ 0) while using a constant Fe0 amount in the bed, it appears that thicker beds have to be considered. For example the amount of additive material can be increased such that the resulting volumetric proportion of Fe0 is 35 %. Another tool to sustain Fe0 reactivity is to use porous additive instead of non-porous quartz. In this way, the total volume for the storage of in-situ generated iron corrosion products is increased and the residual bed porosity at Fe0 depletion is warranted as will be illustrated in the next section. 5.4 Lengthening Fe0 bed service life by porous additives When quartz particles from section 5.3 are replaced by VPP of porous particles (with VPP = V - Vinitial Fe), the available porosity Φ0’ for iron corrosion products is increased according to: 10 255 Φ0’ = Φ0 + ϕpp . f pp (5) 256 where ϕpp (-) is the critical porosity of the porous particles; 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 f pp (-) is the porous particle volume fraction (here f pp =VPP/V). The volume VFe of the consumed iron leading to clogging of the bed (Eq. 3) or the residual porosity Φr (Eq. 4) can be obtained by replacing Φ0 by Φ0’. The calculations in Tab. 3 show that it is possible to increase the efficiency of the filtration system. More iron may be consumed and transformed into iron corrosion products before clogging. In two cases (Fe2O3 and Fe3O4), a residual bed porosity is available at Fe depletion. Figure 2 shows that replacing quartz by sandstone or more porous (or less dense) materials could further extend Fe0 bed service life. This conclusion is justified by the fact that heavier materials are less porous. However, the most important feature from Fig. 2 is that weight- based and volumetric ratios are not linearly dependent. Therefore, the description of any experimental design should comprise data on Fe0 and additives (form, density, porosity, size) and filter dimensions together with the volumetric proportion of Fe0. This procedure will enable or ease comparability of published results. 5.5 Discussion The calculations above have shown that in a 100 % Fe0 bed, system clogging will occur when only about 52 wt-% of used Fe0 is consumed. In a 50 % Fe0 bed material depletion (100 % consumption) is only possible if the corrosion products are Fe3O4 and Fe2O3 (no residual porosity). By replacing quartz by sandstone, a residual porosity Φr about 12 % is obtained when the corrosion products are Fe3O4 and Fe2O3. But even in these cases, crystalline Fe3O4 and Fe2O3 are the final stages of transformations which go through several more volumetric amorphous stages (e.g. Fe(OH)2, FeOOH). Accordingly, a volumetric ratio 50:50 should be regarded as the highest proportion of Fe0 for long-term efficiency of Fe0 beds. In the literature however, a 50:50 weight ratio is usually used based on a pragmatic approach [50]. The 11 volumetric 50:50 ratio for the Fe0:quartz mixture (quartz: 2.6 kg/m3) corresponds to a Fe 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 0:quartz weight ratio of 75:25. The suitability of the volumetric ratio in this context arises from the fact that the expansive nature of iron corrosion is to be considered. Finally, a consideration of the conditions used by O’Hannesin and Gillham [5] and Westerhoff and James [50] is made. O’Hannesin and Gillham [5] used only 22 wt-% Fe0 in the reactive wall in Borden (Ontario Canada). This proportion corresponds to less than 10 vol-% Fe0 showing that the demonstration wall at Borden is highly permeable. Accordingly, system clogging due to expansive iron corrosion is not expected because the available pore space is by far larger than the volume of iron corrosion products at Fe0 depletion. As discussed in section 4, most Fe0 PRBs content a zone with 100 % Fe0. In some cases “equalization zones” and a “sacrificial pre-treatment zone” exist in which Fe0 is mixed with gravel or sand. In recent barriers mixing Fe0 and sand is considered as a tool to save expense for Fe0 media [51]. However, the proper consideration of the expansive nature of Fe0 corrosion shows that mixing Fe0 and inert material is a prerequisite for long service life. Westerhoff and James [50] could evidence the difficulty of performing long-term experiment with 100 % Fe0 beds. A weight-base 50:50 Fe0:sand bed could perform accurately for several months (12 months). Similarly, household 100 % Fe0 filters were abandon because of rapid clogging [10,32]. The calculations above rationalize the current renaissance of Fe0 filter technology for household filters [52] and its use for small scale water facilities [42,53]. Fe0 filter technology is regarded as a flexible and affordable technology, which could enable the achievement of the Millenium Development Goals (MDGs) for water. This simple technology could even enable to achieve universal access to safe drinking water within some few years [52]. 6 General discussion 6.1 Fe0 bed as adsorptive size-exclusion system 12 The consideration of Fe0 beds as adsorptive size-exclusion systems arises from the strong adsorptive properties of in-situ generated iron corrosion products [54]. Iron is progressively corroded (uniform corrosion) in the whole bed. Contaminants are removed by adsorption, co- precipitation and size exclusion within the whole bed. Removed contaminants could be further chemically transformed (oxidized or reduced). A contaminant that is not removed in the entrance zone could be removed deeper in the Fe 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 0 bed (deep-bed filtration). This behaviour is illustrated the best by simple experiments by Leupin and Hug [34]. These authors performed an As removal experiment in a series of four filters. Each filter contained 1.5 g iron and 60 g sand. The system with a total of 6 g iron could efficiently filtered 36 L of an aqueous solution containing 500 mg As/L. A close consideration of the filtration efficacy pro filtration event showed that less than 20 % (100 mg As/L) of the initial arsenic was removed during the first filtration; a much larger fraction (≥ 200 mg As/L) was removed during the second filtration, arsenic removal continued during the third and fourth filtration. It is important to note that Fe0 was not depleted in the experiments and the filters were not clogged. Accordingly, further As removal occurred even though As breakthrough ([As] > 50 μg/L) was observed. The Fe0 weight percent of 2.4 was necessarily too low for efficient filtration in a single event, but has the advantage to avoid the clogging of the filter. However, this experiment demonstrated the deep-bed filtration nature of individual Fe0 beds which could equally be demonstrated with four sample ports on a single bed. For the further illustration of deep-bed filtration nature of Fe0 beds, Fig. 3 compares the breakthrough of contaminants in a granular activated carbon (GAC) bed and a Fe0 bed. To be treated, water is applied directly to the upper end and allow to flow through the packing bed by gravity. GAC is inert in water and the adsorption capacity is consumed only by contaminants which displace H2O from adsorption sites. Accordingly, the region where contaminant adsorption takes place is called the mass-transfer zone (or adsorption front). The region above the 13 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 adsorption front is the saturated zone and the region below is the virgin zone. As a function of time, the saturated zone moves through the bed and approaches the end [54]. The adsorption bed is exhausted when no more satisfactorily decontamination is achieved. On the contrary, in a Fe0 bed, the whole bed is available as sorption, co-precipitation and size exclusion system. A sort of “adsorption front” may exist because of increased oxidizing agent’s levels in the inflowing solution. However in the whole bed H2O corrodes Fe0 producing corrosion products for efficiency contaminant removal. Contaminant removal may thus occur deeper in the Fe0 bed from the initial stage of bed service on. 6.2 Significance for system design The scientific community has long been searching for common underlying mechanisms for the process of contaminant removal in Fe0/H2O systems that provide a confidence for design that is non-site-specific [57,58]. This was the idea behind introducing specific reaction rate constant (kSA). kSA values are regarded as a more general reactivity descriptor of contaminants with Fe0. They are also believed to allow intersystem comparisons [56]. However, there are two major problems with the kSA concept: (i) it is contaminant specific, and (ii) it is based on the concept of reductive transformation which is definitively not determinant for the process of the removal of several contaminants. While previous efforts were directed at achieving a significant body of removal rate for individual contaminants in order to enable non-site specific bed design, the present study suggests that site-specificity will govern material selection. For example, if contaminated water is carbonate-rich, it could be advantageous to use a relative low reactive material which corrodibility will be sustained by carbonates. Accordingly, if available Fe0 is classified for specific conditions, treatability studies may only be required to fine-tune design criteria for the optimal Fe0 bed performance. 7 Concluding remarks 14 This study clearly delineates the important role of volumetric expansion of corroding iron for the process of contaminant removal in Fe 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 0 beds and the sustainability of Fe0 beds. Sustainability is primarily warrant by admixing Fe0 with non reactive additives to avoid or delay porosity loss. The characterization of Fe0 beds by the volumetric Fe0:additive ratios and the bed sizes provide a clear starting point for the design of future laboratory, pilot, and field- scale studies aiming at characterizing remediation Fe0 beds. This certainly has economic implications for Fe0 bed design as the use of too high Fe0 amount (e.g. > 60 vol-%) has to be avoided. Most importantly results will be more comparable, accelerating progress in technology development. The most important result from the calculations of this study is that, for a given Fe0 amount, necessary for efficient decontamination at a specific contaminated site, building a thicker barrier in which iron represents a volumetric proportion of 30 to 45 % is more advantageous than a thin barrier containing more than 60 vol-% iron. A further useful tool to extend Fe0 bed service live is to use porous additives which allow avoiding/delaying bed clogging. The installation of thicker reactive walls in the underground is certainly coupled with elevated investment costs. However, thickening the barrier is essential for barrier sustainability (deep- bed filtration). For household filters and Fe0 beds in water treatment plants [42,53] the achievement of multi-filtration is an easier task as for instance, several beds could let to operate in series. Finally, it should be highlighted that the very first reactive wall constructed at Borden (Ontario, Canada) for the demonstration of the feasibility of the new technology contained less that 10 vol-% (Fe0) and could never been clogged because the porosity of the system could not be filled by expansive iron corrosion products. In other words because of insufficient system analysis, the Fe0 reactive wall technology was demonstrated on a very permeable system but operating walls are necessarily less permeable. Moreover, mixing Fe0 and sand was considered as a tool to reduced Fe0 costs [51,52]. It is now demonstrated, that 15 mixing Fe0 with inert additives is even the prerequisite for sustainability. It is hoped that the huge literature on deep-bed filtration [59,60] will now be used for the further development of iron wall technology. 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 Acknowledgments Sven Hellbach (student research assistant) is acknowledged for technical assistance. The manuscript was improved by the insightful comments of anonymous reviewers from Chemical Engineering Journal. References [1] J.W. Lee, D.K. Cha, Y.K. Oh, K.B. Ko, S.H. Jin, Wastewater screening method for evaluating applicability of zero-valent iron to industrial wastewater, J. Hazard. Mater. 180 (2010), 354–360. [2] L. Li, C.H. Benson, Evaluation of five strategies to limit the impact of fouling in permeable reactive barriers, J. Hazard. Mater. 181 (2010) 170–180. [3] M.I. Litter, M.E. Morgada, J. Bundschuh, Possible treatments for arsenic removal in Latin American waters for human consumption, Environ. Pollut. 158 (2010) 1105–1118. [4] J. Bundschuh, M. Litter, V.S.T. Ciminelli, M.E. Morgada, L. Corneo, S.G. Hoyos, J. Hoinkis, M.T. Alarcon-Herrera, M.A. Armienta, P. Bhattacharya, Emerging mitigation needs and sustainable options for solving the arsenic problems of rural and isolated urban areas in Latin America e A critical analysis, Water Res. (2010) doi:10.1016/j.watres.2010.04.001. [5] S.F. O´Hannesin, R.W. Gillham, Long-term performance of an in situ "iron wall" for remediation of VOCs, Ground Water 36 (1998) 164–170. [6] K.C.K. Lai, I.M.C. Lo, V. Birkelund, P. Kjeldsen, Field monitoring of a permeable reactive barrier for removal of chlorinated organics, J. Environ. Eng. 132 (2006) 199–210. [6] A.D. Henderson, A.H. Demond, Long-term performance of zero-valent iron permeable reactive barriers: a critical review. Environ. Eng. Sci. 24 (2007) 401–423. 16 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 [6] D.H. Phillips, T. Van Nooten, L. Bastiaens, M.I. Russell, K. Dickson, S. Plant, J.M.E. Ahad, T. Newton, T. Elliot, R.M. Kalin, Ten year performance evaluation of a field-scale zero-valent iron permeable reactive barrier installed to remediate trichloroethene contaminated groundwater, Environ. Sci. Technol. 44 (2010), 3861–3869. [9] T.K.K. Ngai, R.R. Shrestha, B. Dangol, M. Maharjan, S.E. Murcott, Design for sustainable development - Household drinking water filter for arsenic and pathogen treatment in Nepal, J. Environ. Sci. Health A42 (2007) 1879–1888. [10] D. Pokhrel, B.S. Bhandari, T. Viraraghavan, Arsenic contamination of groundwater in the Terai region of Nepal: An overview of health concerns and treatment options, Environ. Int. 35 (2009) 157–161. [11] C. Noubactep, Processes of contaminant removal in “Fe0–H2O” systems revisited: The importance of co-precipitation, Open Environ. J. 1 (2007) 9–13. [12] C. Noubactep A critical review on the mechanism of contaminant removal in Fe0–H2O systems, Environ. Technol. 29 (2008) 909–920. [13] C. Noubactep, The suitability of metallic iron for environmental remediation, Environ. Progr. (2010)DOI 10.1002/ep.10406. [14] B.D.M. Painter, Optimization of permeable reactive barriers for the remediation of contaminated groundwater. Dissertation, Lincoln University, New Zealand (2005). [15] S. Caré, Q.T. Nguyen, V. L'Hostis, Y. Berthaud, Mechanical properties of the rust layer induced by impressed current method in reinforced mortar, Cement Concrete Res. 38 (2008) 1079–1091. [16] L. Li, C.H. Benson, E.M. Lawson, Impact of mineral fouling on hydraulic behavior of permeable reactive barriers, Ground Water 43 (2005) 582–596. [17] L. Li, C.H. Benson, E.M. Lawson, Modeling porosity reductions caused by mineral fouling in continuous-wall permeable reactive barriers, J. Contam. Hydrol. 83 (2006) 89–121. 17 [18] D.C McMurty, R.O. Elton, New approach to in-situ treatment of contaminated groundwaters, Environ. Progr. 4/3 (1985) 168 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 –170. [19] G.W. Reynolds, J.T. Hoff, R.W. Gillham, Sampling bias caused by materials used to monitor halocarbons in groundwater, Environ. Sci. Technol. 24 (1990) 135–142. [20] J.P. Muegge, P.W. Hadley, An evaluation of permeable reactive barrier projects in California, Remediation 20 (2009) 41–57. [21] S.J. Morrison, D.R. Metzler, B.P. Dwyer, Removal of As, Mn, Mo, Se, U, V and Zn from groundwater by zero-valent iron in a passive treatment cell: reaction progress modelling, J. Contam. Hydrol. 56 (2002) 99–116. [22] S. Goldberg, S.M. Lesch, D.L. Suarez, Predicting molybdenum adsorption by soils using soil chemical parameters in the constant capacitance model. Soil Sci. Soc. Am. J. 66 (2002) 1836–1842. [23] L. Brinza, L.G. Benning, P.J. Statham, Adsorption studies of Mo and V onto ferrihydrite, Miner. Mag. 72 (2008) 385–388. [24] S.-H. Kang, W. Choi, Response to comment on “Oxidative degradation of organic compounds using zero-valent iron in the presence of natural organic matter serving as an electron shuttle”, Environ. Sci. Technol. 43 (2009) 3966–3967. [25] P.G. Tratnyek, A.J. Salter, Response to comment on “Degradation of 1,2,3- trichloropropane (TCP): Hydrolysis, elimination, and reduction by iron and zinc”, Environ. Sci. Technol. 44 (2010) 3198–3199. [26] C. Noubactep, Elemental metals for environmental remediation: Learning from cementation process, J. Hazard. Mater. 181 (2010) 1170–1174. [27] C. Noubactep, Characterizing the discoloration of methylene blue in Fe0/H2O systems, J. Hazard. Mater. 166 (2009) 79–87. 18 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 [28] C. Noubactep, A.-M.F. Kurth, M. Sauter, Evaluation of the effects of shaking intensity on the process of methylene blue discoloration by metallic iron, J. Hazard. Mater. 169 (2009) 1005–1011. [29] A. Ghauch, H. Abou Assi, A. Tuqan, Investigating the mechanism of clofibric acid removal in Fe0/H2O systems, J. Hazard. Mater. 176 (2010) 48–55. [30] A. Ghauch, H. Abou Assi, S. Bdeir, Aqueous removal of diclofenac by plated elemental iron: Bimetallic systems, J. Hazard. Mater. (2010), doi:10.1016/j.jhazmat.2010.05.139. [31] A.H. Khan, S.B. Rasul, A.K.M. Munir, M. Habibuddowla, M. Alauddin, S.S. Newaz, A. Hussam, Appraisal of a simple arsenic removal method for groundwater of Bangladesh, J. Environ. Sci. Health A35 (2000) 1021–1041. [32] A. Hussam, A.K.M. Munir, A simple and effective arsenic filter based on composite iron matrix: Development and deployment studies for groundwater of Bangladesh, J. Environ. Sci. Health A 42 (2007) 1869–1878. [33] A. Hussam, Contending with a development disaster: SONO filters remove arsenic from well water in Bangladesh, Innovations 4 (2009) 89–102. [34] O.X. Leupin, S.J. Hug, Oxidation and removal of arsenic (III) from aerated groundwater by filtration through sand and zero-valent iron, Wat. Res. 39 (2005) 1729–740. [35] O.X. Leupin, S.J. Hug, A.B.M. Badruzzaman, Arsenic removal from Bangladesh tube well water with filter columns containing zerovalent iron filings and sand, Environ. Sci. Technol. 39 (2005) 8032–8037. [36] H. Chiew, M.L. Sampson, S. Huch, S. Ken, B.C. Bostick, Effect of groundwater iron and phosphate on the efficacy of arsenic removal by iron-amended biosand filters, Environ. Sci. Technol. 43 (2009) 6295–6300. [37] V. Tellen, G. Nkeng, S. Dentel, Improved filtration technology for pathogen reduction in rural water supplies. Water 2 (2010) 285–306. 19 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 [38] C. Noubactep, S. Caré, On nanoscale metallic iron for groundwater remediation. J. Hazard. Mater. (2010) DOI: 10.1016/j.jhazmat.2010.06.009. [39] G. Bartzas, K. Komnitsas, Solid phase studies and geochemical modelling of low-cost permeable reactive barriers. J. Hazard. Mater. (2010) doi:10.1016/j.jhazmat.2010.07.024. [40] C. Noubactep, S. Caré, Enhancing sustainability of household water filters by mixing metallic iron with porous materials. Chem. Eng. J. (2010) DOI: 10.1016/j.cej.2010.06.012. [41] C. Noubactep, S. Caré, F. Togue-Kamga, A. Schöner, P. Woafo, Extending service life of household water filters by mixing metallic iron with sand, Clean (2010) (Accepted manuscript # clen.201000177). [42] A.M. Gottinger, Chemical-free arsenic removal from potable water with a ZVI-amended biofilter. Master thesis, University of Regina (Saskatchewan, Canada) (2010) 90 pp. [43] S. Tuladhar, L.S. Smith, SONO filter: An excellent technology for save water in Nepal. SOPHEN 7 (2009) 18–24. [44] S. Tuladhar, Er.B. Man Shakya, A study on the performance of SONO filter in reducing different drinking water quality parameters of ground water: A case study in Ramgram municipality of Nawalparasi District, Nepal. Paper presented at the Regional Conference on Appropriate Water Supply, Sanitation and Hygiene (WASH) Solution for Informal Settlements and Marginalized Communities, Kathmandu, Nepal, May 19-21, 2010, (2010) 297-310. [45] J.M. Triszcz, A. Porta, F.S. García Einschlag, Effect of operating conditions on iron corrosion rates in zero-valent iron systems for arsenic removal. Chem. Eng. J. 150 (2009) 431–439. [46] C. Noubactep, T. Licha, T.B. Scott, M. Fall, M. Sauter, Exploring the influence of operational parameters on the reactivity of elemental iron materials, J. Hazard. Mater. 172 (2009) 943–951. 20 [47] C. Noubactep, G. Meinrath, P. Dietrich, B. Merkel, Mitigating uranium in groundwater: Prospects and limitations, 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 Environ. Sci. Technol. 37 (2003) 4304–4308. [48] D. Burghardt, A. Kassahun, Development of a reactive zone technology for simultaneous in situ immobilisation of radium and uranium, Environ. Geol. 49 (2005) 314–320. [49] A. Nur, G. Mavko, J. Dvorkin, D. Galmudi, Critical porosity; a key to relating physical properties to porosity in rocks, The Leading Edge 17 (1998) 357–362. [50] P. Westerhoff, J. James, Nitrate removal in zero-valent iron packed columns. Wat. Res. 37 (2003) 1818–1830. [51] E. Bi, J.F. Devlin, B. Huang, Effects of mixing granular iron with sand on the kinetics of trichloroethylene reduction, Ground Water Monit. Remed. 29 (2009) 56–62. [52] C. Noubactep, A. Schöner, P. Woafo, Metallic iron filters for universal access to safe drinking water. Clean 37 (2009) 930–937. [53] A.M. Gottinger, D.J. Wild, D. McMartin, B. Moldovan, D. Wang, Development of an iron-amended biofilter for removal of arsenic from rural Canadian prairie potable water, (2010) Retrieved from: http://www.mainstreamwater.com/Gottinger%20et%20al.pdf. (Acces 06.05.2010). [54] E. Sikora, D.D. Macdonald, The passivity of iron in the presence of ethylenediaminetetraacetic acid I. General electrochemical behavior, J. Electrochem. Soc. 147 (2000) 4087–4092. [55] P. Le Cloirec, C. Faur, Adsorption of organic compounds onto activated carbon - applications in water and air treatments, In Environmental Remediation T.J. Bandosz (editor). Interf. Sci. Technol. 7 (2006) 375–419. [56] T.L. Johnson, M.M. Scherer, P.G. Tratnyek, Kinetics of halogenated organic compound degradation by iron metal, Environ. Sci. Technol. 30 (1996) 2634–2640. [57] K.L. McGeough, R.M. Kalin, P. Myles, Carbon disulfide removal by zero valent iron, Environ. Sci. Technol. 41 (2007) 4607–4612. 21 533 534 535 536 537 538 539 540 541 [58] R.W. Gillham, Discussion of Papers/Discussion of nano-scale iron for dehalogenation. by Evan K. Nyer and David B. Vance (2001), Ground Water Monit. Remed. 21, 41–54. Ground Water Monit. Remed 23 (2003) 6–8. [59] R.P. Batycky, H. Brenner, Thermal macrotransport processes in porous media. A review, Adv. Water Resour. 20 (1997) 95–110. [60] A.A. Shapiro, P.G. Bedrikovetsky, A stochastic theory for deep bed filtration accounting for dispersion and size distributions, Physica A (2010) doi:10.1016/j.physa.2010.02.049. 22 Table 1: Mass of material necessary to completely fill the hypothetical treatment units with 100 % metallic iron. The fundamental porosity of Φ 541 542 543 0 = 36 % is assumed and the value of 7,800 kg/m3 is taken for the specific weight of Fe0. Unit Vunit VFe Vpores mFe (m3) (m3) (m3) (kg) Filter 0.004 0.0026 0.0014 20.08 Wall 19.4 12.4 6.97 96,645 544 545 546 23 Table 2: Mass (mwall or mfilter in kg) of iron and weight proportion of consumed iron (P in %, same value for the wall or the filter) leading to porosity loss in the hypothetical field reactive wall and household filter as function of the nature of corrosion products. Φ 546 547 548 549 550 551 r is the residual porosity (in this case Φr = 0 and iron is not completely consumed, P < 100%). Voxid/VFe values are expansive coefficients from Ref. [15]. Oxid Voxid/VFe mwall mfilter P Φr (kg) (kg) (%) (%) 1/2 Fe2O3 2.08 50,336 10.45 52.1 0 1/3 Fe3O4 2.12 48,538 10.08 50.2 0 γ-FeOOH 3.03 26,779 5.56 27.7 0 β-FeOOH 3.48 21,920 4.55 22.7 0 Fe(OH)2 3.75 19,768 4.11 20.5 0 α-FeOOH 3.91 18,681 3.88 19.3 0 Fe(OH)3 4.2 16,988 3.53 17.6 0 Fe(OH)3.3H2O 6.4 10,067 2.09 10.4 0 552 553 24 Table 3: Weight proportion P of consumed iron leading to porosity loss (Eq. 3) or residual porosity Φ 553 554 555 556 557 558 559 r (Eq. 4) as function of the nature of corrosion products for Fe0:sandstone with a volumetric ratio 50:50. Voxid/VFe values are expansive coefficient from Ref. [15]. The critical porosity of sandstone is 40% and its specific weight is 2.0 kg/m3. The results are the same for the reactive wall and the household filter. Oxid Voxid/VFe P Φr (%) (%) 1/2 Fe2O3 2.08 100 14.2 1/3 Fe3O4 2.12 100 12.9 γ-FeOOH 3.03 75.1 0 β-FeOOH 3.48 61.5 0 Fe(OH)2 3.75 55.5 0 α-FeOOH 3.91 52.4 0 Fe(OH)3 4.2 47.7 0 Fe(OH)3.3H2O 6.4 28.2 0 560 561 562 25 Figure 1 562 563 564 (a) volumetric ratio Fe0:quartz 100:0 (b) volumetric ratio Fe0:quartz 50:50 565 566 567 26 Figure 2 567 568 0 20 40 60 80 100 0 20 40 60 80 100 Additive (vol-%) quartz sandstone activated carbon pumice ad di tiv e / [ w t-% ] Fe0 / [vol-%] 569 570 571 572 573 27 Figure 3 573 574 575 576 28 Figure captions576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 Figure 1: Schematic illustration of the impact of mixing Fe0 and quartz for the long-term reactivity of Fe0 beds (clogging). When Fe0 is mixed with quartz more iron corrodes and the initial porosity if progressively filled with porous iron oxides for water multi-filtration. Figure 2: Variation of the weight percent of additive materials as function of the Fe0 volumetric ratio. Due to the differences in density, there is no linear dependence. The depicted variation of the wt-ratio depends on the material density. Used density values are: Fe0: 7.80 g/cm3, quartz: 2.65 g/cm3, sandstone: 2.00 g/cm3, activated carbon: 1.47 g/cm3, and pumice 0.64 g/cm3. Figure 3: Comparison of the evolution of contaminant loading in granular activated carbon (GAC - up) and Fe0 (down) filters. The evolution of the GAC filters is virgin - preloaded (reaction front) and saturated carbon. For the Fe0 filters a reaction front may exist due to increased O2 in the influent but iron corrosion by H2O (or H+) occurs uniformly in the whole column. The light grey shadow indicates progressive Fe0 corrosion by water. 29