Manganese Amended Activated Alumina for Adsorption/Oxidation of Arsenic

In a laboratory study, manganese amended activated alumina (MAA), prepared by calcining (400°C) manganese acetate-impregnated activated alumina, showed promise as a more effective medium than activated alumina (AA) for use in small municipal drinking water systems or point-of-use treatment, for removing arsenic [As(III) and As(V)] from groundwater. Batch adsorption/oxidation kinetic tests indicated that in fixed-bed operation, with a bed flowthrough time of 10–20?min, MAA would be a more effective medium than AA in removing arsenic [As(V), As(III), and As(III) and As(V) (present together)] from groundwater. In three cycles of downflow column test [bed depth 200?mm; bed flowthrough time 20?min; influent arsenic 1.0–0.6?mg/L As(III) and 0.4?mg/L As(V)], breakthrough bed volumes at the World Health Organization guideline value of 0.01?mg/L for arsenic in drinking water were 580, 550, and 485, and 825, 770, and 695, respectively, for AA and MAA. During regeneration (backwashing with a sodium hydroxide solution), 84–88% (for AA) and 86–89% (for MAA) of the removed arsenic was recovered. Manganese concentration in the MAA column effluent was low (below 0.02?mg/L). A detailed study addressing the effects of some important factors (water pH, concentration and type of competing ions, and fouling by organics) on the process is needed.     

Arsenic Removal by a Colloidal Iron Oxide Coated Sand

A novel treatment process for arsenic removal from contaminated groundwater has been developed for use as a reactive barrier or a small drinking water treatment unit. In this study, modified porous media was made by the deposition of colloidal iron oxide onto sand grains at intermediate pH and ionic strength. Kd values from column experiments were 0.016–0.37?L/kg for As(III) and 0.023–0.85?L/kg for As(V), being lower than those of batch experiments (0.50 and 1.30?L/kg for As(III) and As(V), respectively) due to lower availability of surface adsorption sites in the packed column. Media-independent Kd values reflect the enhancement of arsenic adsorption with an increase of colloidal iron oxide coated sand fraction, apparently due to adsorption equilibration during arsenic transport under the same flow column conditions. The heterogeneous composition of two groundwater samples also reduced arsenic adsorption. Therefore, arsenic elution near the initial breakthrough was regulated by available adsorption surface in a porous coated sand media as well as the effects of competing oxyanions. The exhaustion of adsorption capacity near the critical contamination level is sensitive to geochemical and remedial properties of the contaminants.     

碳热焙烧还原砷酸钙制备金属砷

致力于碳热焙烧还原砷酸钙制备具有商业价值的金属单质砷,为推进砷危废物无害化处理向砷资源化回收利用前进展开科学研究。其中热重分析表明,砷酸钙与碳粉混合热解的质量损失分为3个阶段,阶段1和阶段2为失水过程,阶段3为碳还原砷酸钙生成CaO和砷蒸气过程。且研究发现,可以利用相边界反应动力学模型解释阶段3反应机制。而单因素条件实验结果表明:在温度1000 ℃、碳配入系数1.4、恒温时长60 min条件下砷挥发率高达99.94%。X射线衍射仪(XRD)、扫描电镜能谱仪(SEM?EDS)对反应体系中有关产物表征表明,较优条件下产品砷主要为片状金属砷和粉末非晶体砷,焙烧残渣为CaO。      

New Approach: Waste Materials as Sorbents for Arsenic Removal from Water

The sorption of inorganic arsenic species (arsenite and arsenate) from aqueous solutions onto steel-mill waste and waste filter sand, under neutral conditions, was investigated in this study. Additionally, the steel-mill waste material was modified in order to minimize its deteriorating impact on the initial water quality and to meet the drinking water standards. The influence of contact time and initial arsenic concentration was investigated using batch system techniques. To evaluate the application for real groundwater treatment, the capacities of the obtained waste materials were further compared to those exhibited by commercial sorbents, which were examined under the same experimental conditions. Kinetic studies revealed that waste slag materials are the most efficient in arsenic removal, reaching equilibrium arsenic sorption capacities in the range 47.6–55.2?μg/g, while waste filter sand exhibited capacities of 25.4–29.8?μg/g (for an initial arsenic concentration Co = 0.5?mg/L). The higher iron content in the slag materials was considered to be responsible for the better removal efficiencies, and the specific arsenic removal efficiency was estimated to be 220?μgAs/gFe. The specific arsenic removal efficiency of the second active substance found in waste filter sand, manganese, was estimated to be 115?μgAs/gMn. Equilibrium studies revealed the occurrence of both chemisorption and physical sorption processes. All the waste materials exhibited higher performances for As(V). The highest maximum sorption capacity was obtained by waste iron slag: 4040?μg/g for As(V). The waste materials reached the arsenic removal capacities of the examined commercial materials, suggesting the feasibility of their application in real groundwater treatment.     

Short-column liquid chromatography with hydride generation atomic fluorescence detection for the speciation of arsenic

Increasing concerns over human exposure to arsenic and more stringent environmental regulations require rapid determination of trace levels of individual arsenic species, which presents an analytical challenge. We describe a method that is capable of speciating nanogram-per-milliliter levels of arsenite (As(III)), arsenate (As(V)), monomethylarsonic acid (MMAA), and dimethylarsinic acid (DMAA) within 3 min. Speciation of two common inorganic species in drinking water, As(III) and As(V), is complete in 1.5 min. The method is based on a combination of fast high-performance liquid chromatography (HPLC) separation of arsenic species on 3-cm HPLC guard columns and the sensitive detection of arsenic hydride by atomic fluorescence spectrometry. Detection limits for the four arsenic species in urine samples are 0.4-0.8 ng/mL. This simple method allows for the direct speciation of arsenic present in natural water samples and in human urine samples from the general population, with no need of any sample pretreatment. Our results from the determination of arsenic species in urine and water standard reference materials are in good agreement with the certified values of total arsenic concentration. The method has been successfully applied to speciation studies of metabolism of arsenosugars following the consumption of arsenosugar-containing mussels by human volunteers. Speciation of arsenic in urine samples collected from four volunteers after the ingestion of musseles reveals significant increases of DMAA concentration, resulting from the metabolism of arsenosugars. These results suggest that the commonly used biomarkers for assessing human exposure to inorganic arsenic, which are based on the determination of urinary arsenite, arsenate, MMAA, and DMAA, are not reliable when arsenosugar-containing seafood is ingested.     

Comparison of Arsenate, Lead, and Cadmium Adsorption onto Aged Biofilter Media

Many biological water treatment plants for removal of iron and manganese from groundwater are in place for quite a long time, and thus their filters are aged—naturally coated with metal oxides and associated biomass. The particular reactivity and high adsorption capacity of these biogenic surface coatings make them potentially applicable for cost effective removal of arsenic and other heavy metals from contaminated water. However, the nature of interaction between various toxic elements and the composite materials in biological filters is not well understood. This study combines macroadsorption experiments with electron probe analysis to evaluate the adsorption properties of the biogenic surface coatings of an aged biofilter medium (BFM) for cationic lead and cadmium as well as arsenate anion. Results of batch adsorption showed that BFM has higher adsorption capacity for lead and cadmium as compared to arsenate anion. At pH 5.5, the maximum adsorption capacities of the medium for As(V), Pb(II), and Cd(II) were 17.03-, 80.77-, and 179.05-mg/g surface coatings, respectively. However, the column performance of BFM for Cd(II) was rather low. In particular, the breakthrough adsorption capacities (qb) of the BFM for As(V), Pb(II), and Cd(II) were 0.247-, 31.168-, and 4.084-mg/g surface coatings, respectively. These values represent about 1.5, 38.6, and 2.3% of the respective theoretical maximum adsorption capacities (qmax) of BFM for these metals. Data from the X-ray electron probe analysis corroborated well with that of the macroadsorption experiments. Results of this study strongly suggest that the Mn/Fe ratio and the presence of preadsorbed competing ions were two of the principal characteristics of the BFM, governing its affinity and adsorption capacity for different toxic metals.     

Fe(III)–As(V) precipitates obtained from a sulphate system and their leach stability

Fe(III)–As(V) precipitates were synthesised from the Fe(II)-As(V)-SO₄^2--H₂O system at a temperature of 90°C and a constant pH maintained at 1.5?±?0.05. The precipitates obtained were characterised by X-ray diffraction (XRD), chemical composition analysis, scanning electron microscope (SEM) and Raman spectrum, thermogravimetric analyzer (TGA) and electron probe micro-analyzer (EPMA). The precipitates were in irregular aggregation of about 1–4?μm in size. The precipitates consisted of scorodite, ferric arsenate and an amorphous ferric hydroxide sulphate formulated as Fe(OH)_x(SO₄)_y. The precipitates were stable in modified Toxicity Characteristic Leaching Procedure (TCLP) tests at pH 4.93 for 60?h. Arsenic concentrations in the leaching solutions of 0.27?mg?L^?1 and 0.59?mg?L^?1 were obtained for the precipitates prepared initial Fe(II)/As(V) molar ratios of 4.0 and 5.0, respectively. Significantly more iron than arsenic was dissolved with up to 280?mg?L^?1 of iron reporting to solution. Long-term stability tests of the precipitates were carried out by leaching them for 40 days at 25°C under various media of pH between 9.50 and 10.57. The results showed that the precipitates tested in this study were more stable than those by previous researchers owing to a preferential dissolution of the amorphous ferric hydroxide sulphate.     

Arsenite Oxidation by Alcaligenes faecalis Strain O1201

Batch experiments were conducted to examine the oxidation of arsenite (As (III)) to arsenate (As (V)) by Alcaligenes faecalis strain O1201 isolated from soils. Pure cultures of O1201 completely oxidized As (III) to As (V) in the exponential growth phase at As (III) concentrations ranging from 10 to 1,000?mg/L in less than 12 h. The growth of O1201 requires an organic substrate as the carbon and energy source, and the oxidation of As (III) was mainly observed in the exponential growth phase. As (III) concentration at 500?mg/L inhibited the growth of O1201, whereas its oxidation product As (V) did not show any inhibition effects even at concentration as high as 1,000?mg/L. Kinetics studies of As (III) oxidation were performed under the optimal conditions for O1201 at pH 7 and 30°C in a chemical defined medium with citrate as the sole carbon source. The Monod expression coupled with a logistic growth model was used to analyze the kinetics of As (III) oxidation. The best fit parameters of half-velocity coefficient Kc of 15?mg/L, maximum reaction rate coefficient kmc of 0.47 mg As (III)/mg dry weight/h, and logistic growth rate coefficient r of 0.22–0.34?h?1 were obtained using a nonlinear regression analysis.     

Effect of arsenosugar ingestion on urinary arsenic speciation

We developed and evaluated a method for the determination of microgram/L concentrations of individual arsenic species in urine samples. We have mainly studied arsenite [As(III)], arsenate [As(V)], monomethylarsonic acid (MMAA), and dimethylarsinic acid (DMAA) because these are the most commonly used biomarkers of exposure by the general population to inorganic arsenic and because of concerns over these arsenic species on their toxicity and carcinogenicity. We have also detected five unidentified urinary arsenic species resulting from the metabolism of arsenosugars. We combined ion pair liquid chromatography with on-line hydride generation and subsequent atomic fluorescence detection (HPLC/HGAFS). Detection limits, determined as three times the standard deviation of the baseline noise, are 0.8, 1.2, 0.7, and 1.0 mu/L arsenic for arsenite, arsenate, MMAA, and DMAA, respectively. These correspond to 16, 24, 14, and 20 pg of arsenic, respectively, for a 20-muL sample injected for analysis. The excellent detection limit enabled us to determine trace concentrations of arsenic species in urine samples from healthy subjects who did not have excess exposure to arsenic. There was no need for any sample pretreatment step. We used Standard Reference Materials, containing both normal and increased concentrations of arsenic, to validate the method. Interlaboratory studies with independent techniques also confirmed the results obtained with the HPLC/HGAFS method. We demonstrated an application of the method to the determination of arsenic species in urine samples after the ingestion of seaweed by four volunteers. We observed substantial increases of DMAA concentrations in the samples collected from the volunteers after the consumption of seaweed. The increase of urinary DMAA concentration is due to the metabolism of arsenosugars that are present in the seaweed. Our results suggest that the commonly used biomarkers of exposure to inorganic arsenic, based on the measurement of arsenite, arsenate, MMAA, and DMAA, are not reliable when arsenosugars are ingested from the diet.     

Removal of Arsenic from Ground Water by Manganese Dioxide–Coated Sand

In a laboratory study, manganese dioxide–coated sand (MDCS), prepared by reacting potassium permanganate with manganese chloride under an alkaline condition and in the presence of sand, showed promise as a medium for use in small systems or home-treatment units in developing areas of the world, for removing arsenic(III) and arsenic(V) from ground water. In ten cycles of downflow column tests [bed depth 400 mm; empty-bed contact time 74 min; influent arsenic 0.5 mg As∕L of arsenic(III) and 0.5 mg As∕L of arsenic(V)], breakthrough bed volumes at the World Health Organization guideline value of 0.01 mg As∕L for arsenic in drinking water were in the range of 153–185 per cycle. During regeneration (backwashing with 2 L of a 0.2 N sodium hydroxide solution), 85.0% of the removed arsenic was recovered in the first cycle, and 94.6–98.3% was recovered in subsequent cycles. A low-cost, simple home arsenic removal unit, containing 6 kg (4 L) of the MDCS medium and operated at 6 L∕h, produced 740 and 700 L of water in two cycles of runs when the influent arsenic concentration was 0.5 mg As∕L of arsenic(III) and 0.5 mg As∕L of arsenic(V). No arsenic(III) or leaching of manganese from the medium was detected in the effluent. A detailed study addressing the effects of some important factors (water pH, concentration and type of competing anions, and cations) on the process is needed. The home arsenic removal unit should be subjected to field trials to assess the long-term effects on performance.     

Modeling Arsenite Adsorption on Rusting Metallic Iron

Experimental data on As(III) adsorption by rusted zero valent iron (ZVI) could be modeled using a simple Langmuir isotherm model. However, the adsorption equilibrium was observed to shift with time, as continued rusting produced additional sites on the rusted ZVI surface for potential arsenic adsorption. A modified Langmuir isotherm model was formulated taking into consideration the temporal variation in the site concentration for potential arsenic adsorption on the rusted ZVI surface. This model simulated the long-term experimental data on As(III) adsorption quite well. The model was further refined by apportioning the arsenic adsorbed on the rusted ZVI surface into labile and irreversibly adsorbed fractions. Finally, the developed model was used to simulate the performance of an adsorption column. The simulation results indicate that an adsorption column of length 0.4 m and diameter 0.056 m, i.e., containing 0.001?m3 of rusted ZVI weighing 4.76 kg, and operated at an empty bed contact time of 12 min, can treat 2,375–2,525 L of water containing 100?μg?L?1 of As(III) such that the effluent As(III) concentration from the column is less than 10?μg?L?1.     

Arsenite Oxidation by Batch Cultures of Thiomonas Arsenivorans Strain b6

Arsenite [As(III)] oxidation by Thiomonas arsenivorans Strain b6 was investigated in batch reactors at pH 6 and 30°C over As(III) concentrations ranging from 10 to 1,000 mg/L in the absence of added organic carbon. Strain b6 completely oxidized As(III) to arsenate [As(V)] during exponential growth phase for lower levels of As(III) concentrations ( ≤ 100?mg/L). At higher levels of 500 and 1,000 mg/L, As(III) oxidation was observed mostly in the exponential phase but continued into the stationary phase of growth. The Haldane substrate inhibition model was used to estimate biokinetic parameters for As(III) oxidation. The best fit parameters of half saturation constant Ks = 33.2±1.87?mg/L, maximum specific substrate utilization rate k = (0.85±0.18)-mg As(III)/mg dry cell weight/h, substrate inhibition coefficient Ki = 602.4±33.6?mg/L, yield coefficient Y = (0.088±0.0048)-mg cell dry weight/mg As(III), and endogenous decay coefficient kd = 0.006±0.002?h?1 were obtained using the Adams-Bashforth-Moulton algorithm and nonlinear regression technique. Sensitivity analysis revealed that Y and Ki are the most sensitive to model predictions, while kd is the least sensitive to model simulation at both low and high concentrations of As(III).     

Comparative study of inorganic arsenic resistance of several strains of Acidithiobacillus thiooxidans and Acidithiobacillus ferrooxidans

The growth characteristics of several strains of Acidithiobacillus thiooxidans and Acidithiobacillus ferrooxidans were studied in the presence of soluble inorganic arsenic(III) and (V) with regard to media pH changes, total bacterial populations and sulfur oxidation rates. Most of these bacteria could reach large populations and have strong sulfur oxidation activity in the absence of arsenic. However, in the presence of up to 120 mM arsenite or arsenate, different strains showed different inorganic arsenic resistance. A. thiooxidans LYS and A. ferrooxidans BY-3 were two of the best performers which showed high arsenite resistance: up to 80 mM and 60 mM, respectively. On the other hand, A. thiooxidans JY and A. ferrooxidans TKY-2 could adapt up to 120 mM and 100 mM arsenate, respectively. These bacteria strains may play key roles in the bioleaching of arsenopyrite or in the bio-oxidation pretreatment of arsenic-bearing refractory gold sulfide ores and concentrates.     

Removal of arsenic from gold processing circuits by use of novel magnetic nanoparticles

Arsenic adversely affects gold mining operations by interfering with the extraction of gold, as well as posing a significant health and environmental hazard. While a number of technologies are available for removing arsenic, none of them is effective under all conditions. Although adsorption is a promising approach, most methods focus on the purification of water under neutral or acidic conditions and tend to be less effective in gold mining process waters, operating under highly alkaline conditions. In this study, the removal of As(III) and As(V) from both arsenic-only solutions and simulated process waters using composite magnetic nanoparticles was investigated. The nanoparticles consisted of magnetite (Fe₃O₄) or maghemite (γ-Fe₂O₃) cores covered by various metal oxides with Langmuir adsorption capacities of As(III) and As(V) ranging from 31.4 to 79.1?mg?g^?1 and 10.2 to 25.5?mg?g^?1, respectively, in arsenic-only solutions at pH 9. The adsorption capacities were further characterised by adsorption tests conducted in simulated process waters. The ability to remove As(III) is of particular importance as it is harder to remove it from alkaline solutions than As(V). The magnetic cores allow simple and efficient magnetic recovery of the As-loaded nanoparticles.     

含砷铁矿石烧结及除尘灰焙烧脱砷热力学

 为了研究铁矿石烧结及除尘灰焙烧脱砷问题,运用FactSage软件研究了不同氧分压、温度及碱度对含砷铁矿石烧结脱砷率、砷平衡组成、脱砷最终形态的影响,并对除尘灰焙烧脱砷流程进行热力学研究。结合烧结杯进行烧结试验,并在多气氛下利用焙烧除尘灰试验进行验证,运用XRD、SEM及EDS对矿相进行分析。结果表明,脱砷产物及脱砷率与温度、氧分压及碱度密切相关。在烧结过程中,残留在烧结矿中的砷,主要是固态砷酸盐,其他砷会以As4O6（g）等气态物质脱除。除尘灰中砷以固态As2O3（s）和As2O5（s）存在。在空气或厌氧气氛下焙烧除尘灰,会使砷转变为砷酸盐。但采用配比煤粉及厌氧条件下,在600 ℃以上焙烧除尘灰,可使砷以气态As4（g）挥发,在400 ℃以下析出单质砷。     

Evaluation of a New Field Measurement Method for Arsenic in Drinking Water Samples

The recently lowered arsenic maximum contaminant level will require numerous U.S. water utilities and agencies to monitor and treat for arsenic. This paper describes a new method that measures arsenic in drinking water samples by generating arsine gas from the water and detecting the arsine using a paper-tape instrument. Laboratory tests indicated the method is capable of accurately detecting arsenic in water samples at the microgram per liter level (method detection limit of 0.5?μg/L and practical quantification limit of 2.5?μg/L). The only significant interferences were hydrogen sulfide and antimony. Using the paper-tape instrument, it is also possible to detect As(III) and As(V) that have been separated by either selective arsine generation or ion exchange. While the method proved accurate in the lab, difficulties were encountered during preliminary field testing on 18 different real samples. This technique of converting aqueous arsenic to arsine gas for analysis shows great promise, but the method needs to be refined for use in the field.     

Kinetics of Arsenite Oxidation by Chemoautotrophic Thiomonas arsenivorans Strain b6 in a Continuous Stirred Tank Reactor

As(III) oxidation by a chemoautotrophic bacterium, Thiomonas arsenivorans strain b6, was evaluated in a continuous stirred tank reactor (CSTR) under a range of influent As(III) concentrations (2,000–4,000 mg/L) and hydraulic retention times (HRTs) (21.7–74.9 h). Five steady states were obtained after the CSTR was continuously operated for 115 days with over 99% As(III) oxidized under the optimal growth conditions for strain b6 at pH 6 and 30°C. The culture exhibited strong resilience by recovering from an As(III) overloading of 4,847.4±290.9?mg/day/L operated at a HRT of 21.7 h. Arsenic mass balance analysis revealed that As(III) was mainly oxidized to As(V), with unaccounted arsenic well within the analytical error of measurement. The best estimates of biokinetic parameters for As(III) oxidation were obtained using the steady-state data and the Monod expression based model [k = 5?mg As(III)/mg dry cell weight/h; Ks = 20.1?mg/L; kd = 0.008?h?1; and Y = 0.011?mg cell dry weight/mg As(III)]. The Monod model and the reactor mass balance successfully simulated both the steady-state and transient phases of CSTR operation. Sensitivity analyses defined Y and k to be the most sensitive to model predictions, whereas kd and Ks were least sensitive to model simulations of As(III) oxidation under steady-state conditions.     

Arsenic(III) Adsorption by Mixed-Oxide-Coated Sand: Kinetic Modeling and Desorption Studies

A media developed in the laboratory by applying a coating of iron and manganese to a quartz sand surface, known as mixed-oxide-coated sand (MOCS) is tested in this paper for arsenic(III) adsorption from water. The media has shown alkali resistance. Scanning electron microscope (SEM) images of MOCS have shown uneven and chapped morphology throughout the coated sand surfaces, whereas images of plane quartz sand are flat. The pattern of X-ray diffractograms of plane sand, MOCS, and arsenic-loaded MOCS are similar. The MOCS has an XRD pattern like typical crystalline material. The Langmuir and Freundlich isotherm equations could be used to describe the partitioning behavior of systems at different pH and media doses. Studies on pH effect have shown maximum As(III) removal near neutral pH. The batch kinetic studies data were tested using active available site (AAS) and chemical reaction rate models. The rate constants, equilibrium sorption capacity, and normalized standard deviations were calculated for all models. The tested models almost accurately predict the sorption capacity with respect to time for the whole range of data points. However, sorption kinetic data were better correlated using an AAS equation model based on normalized standard deviation. The results of desorption studies using different regenerants show that 0.2?M NaOH has high desorption efficiency compared with other regenerants for desorption of As(III) from MOCS. The impact of pH on desorption of arsenic(III) was also studied, and results have shown that high pH values show a significant reduction in quantity of arsenic(III) as compared with lower pH values. At pH 11.1, the percentage of arsenic extraction was highest from MOCS media.     

Prediction of Arsenic Removal by Electrocoagulation: Model Development by Factorial Design

Model was developed by two-level five-factor full-factorial designed-experiment to predict arsenic removal from contaminated water by electrocoagulation. Five factors, namely arsenic concentration (As), solution volume (V); current (I), electrode area (A), and current processing time (t) were investigated. Among the factors, arsenic concentration (As) and volume (V) have negative effect, and area (A), time (t), and current (I) have positive effect on arsenic removal. Within the studied levels of the factors, variance analysis at 5% significance level indicated that electrode area is not significant in arsenic removal by electrocoagulation. The model predicted reasonably good arsenic removal (error<2%) from low (0.288 mg/L) and high (0.882 mg/L) initial arsenic concentrations in presence of naturally cooccurring solutes in the groundwater. For the range of operating variables studied, optimum removal of arsenic (98.56%) is obtained at higher arsenic concentration (1.18 mg/L), lower volume (1 L), higher current (3 A), and higher current processing time (120 s).     

Rapid Small-Scale Column Tests for Arsenate Removal in Iron Oxide Packed Bed Columns

Arsenate breakthrough in column studies with a porous granular ferric hydroxide (GFH) was investigated in model waters and groundwaters. In this study, the use of rapid small-scale column tests (RSSCTs) initially designed for simulating the removal of organic compounds by granular activated carbon was extended for arsenate adsorption onto GFH. Adsorption kinetic studies and a comparison of laboratory RSSCT performance versus pilot-scale performance suggests that proportional diffusivity (PD) RSSCT scaling approaches are more valid than constant diffusivity (CD) approaches for arsenate onto GFH. Adsorption densities from column tests (qcolumn) were calculated at the point in the breakthrough curve when arsenate equaled 10 μg/L in the column effluent. For a simulated 2.5 min empty-bed contact time (EBCT), a model water (pH=8.6) had qcolumn values of 0.99 to 1.5 mgAs/gGFH versus 0.02 to 0.28 mgAs/gGFH with a comparable pH and EBCT in a natural groundwater. The differences were attributed to the silica, phosphate, vanadium, and other adsorbable inorganics in the groundwater. At pH 7.6 to 7.8, qcolumn values from PD-RSSCTs in the three natural waters were comparable (1.5±0.3 mgAs/gGFH) and higher than CD-RSSCT qcolumn values (0.57±0.26 mgAs/gGFH) in the three natural waters. All the RSSCTs captured changes in water quality (source water and pH) and operational regimes (e.g., EBCTs) and could be used to aid in the selection and design of arsenic removal media for full-scale treatment facilities.