Competitive sorption and transport of Pb2+, Ni2+, Mn2+, and Zn2+ in lateritic soil columns

Chotpantarat, Srilert; Ong, Say Kee; Sutthirat, Chakkaphan; Osathaphan, Khemarath

doi:10.1016/j.jhazmat.2011.03.058

Cited by 53 publications

(20 citation statements)

References 29 publications

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“…The specific surface areas measured were respectively 9.2 and 45 m 2 ·g −1 for BIO and LAT. These values are consistent with the specific surface areas usually observed (Chotpantarat et al, 2011;Li et al, 2015;Silva et al, 2009). In previous works the increase of the specific surface area of clay enriched in iron oxides was shown to be related to the iron oxide content of the mineral in the form of nodules on clay platelets (Arias et al, 1995;Sei et al, 2006;Lecomte-Nana et al, 2013).…”

Section: Characterization Of Mineralssupporting

confidence: 91%

Binding and setting of kaolin based materials with natural organic acids

Martias

Villandier

Thune

et al. 2015

Applied Clay Science

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Section: Characterization Of Mineralssupporting

confidence: 91%

Binding and setting of kaolin based materials with natural organic acids

Martias

Villandier

Thune

et al. 2015

Applied Clay Science

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“…However, some authors obtained converse results. Chotpantarat et al [35] obtained the order of retardation for metals was Pb 2þ > Zn 2þ % Ni 2þ > Mn 2þ in lateritic soil for a multi-metal system.…”

Section: Assessment Of Heavy Metal Mobilitymentioning

confidence: 98%

Vertical Distribution and Mobility of Heavy Metals in Agricultural Soils along Jishui River Affected by Mining in Jiangxi Province, China

Liu

Xue

et al. 2014

CLEAN Soil Air Water

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The vertical distribution of Cd, Cr, Cu, Pb, and Zn and their mobility (except Cr) were investigated in ten agricultural soil cores, collected near non-ferrous metal mines and smelters along Jishui River, in Jiangxi Province, China. The surface soils near mines and smelters were contaminated by Cd, Cu, Pb, and Zn, with concentrations higher than the guideline values of China. For most polluted sites, heavy metals were mainly retained in the surface soil (0-20 cm), and the contents of them became constant in deeper soil. In all soil cores, the mean content of Cr was lower than the guideline value of China. Correlation results between studied heavy metals and soil properties showed that heavy metal contents throughout the soil profile was mostly influenced by organic matter (OM), pH, and clay content. Particularly soil OM can significantly impact on transport of soil heavy metals. There were positive correlations of OM content with all studied heavy metals, and the correlations with Cr, Cu, Pb, and Zn were significant or very significant. Heavy metal mobility in the studied region were assessed using a mobility index (MI) and mobility order was Cd ) Pb > Cu % Zn.

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“…The extent of retardation of contaminants in transport experiments has been usually described by empirical linear ( K d ) and nonlinear (e.g., Freundlich, Langmuir) adsorption models combined with the convection–dispersion equation and either equilibrium or kinetic considerations (Chotpantarat et al, 2011; Seuntjens et al, 2001). Such empirical models have been extended to account for competitive sorption reactions, but these models are not capable of simulating reactions outside the specific chemical conditions under which the model parameters were derived (Selim and Zhang, 2013).…”

mentioning

confidence: 99%

Metals and Metalloid Removal by Colloidal Humic Acid–Goethite: Column Experiments and Geochemical Modeling

Montalvo

Smolders

2019

Vadose Zone Journal

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Core Ideas Humic‐acid‐coated goethite effectively removes cationic metals and As(V) from water. Among five elements, sorption of As(V), Cu, and Zn is favored with higher selectivity. In cation–oxyanion binary systems, As(V) enhanced Zn sorption (synergism). Metals less strongly sorbed are desorbed in mixed contamination due to competition for sorption sites. Multi‐surface complexation model in PHREEQC described As(V), Cu, Cd, Ni, and Zn BTCs. Reactive barriers are proposed to scavenge groundwater contaminants such as metals and arsenate. Their remediation capacity is commonly investigated with sorption data disregarding the complexity of the interactions among elements when faced with mixed contamination. This study was set up to measure interactions during reactive transport of the anionic arsenate As(V) and cationic metals and test if that transport can be modeled with geochemical codes. Sand coated with colloidal humic acid–goethite was the adsorbent in line with field work where these colloidal particles have been injected in situ. Equilibrium batch adsorption experiments showed binding preferences in the order: As(V) ∼ Cu >> Zn > Cd > Ni. Column experiments with single and binary mixtures showed an important synergistic effect of As(V) on Zn sorption but the reverse interaction was not found; this interaction is not included in the PHREEQC geochemical code. The breakthrough curves (BTCs) of mixtures of As(V), Cd, Cu, Ni, and Zn showed that Cd and Ni concentrations in the effluent exceeded those of the influent, an overshooting effect attributed to competition among divalent cations. Simulations with the PHREEQC geochemical code using a surface complexation model for sorption reactions on goethite and humic acids coupled to the transport module successfully predicted the most essential trends of the BTCs, illustrating the potential of these codes to estimate the longevity of the reactive barriers used to remediate mixtures of contaminants. The novel aspect of this work is that a correct reactive transport model in PHREEQC was obtained by only adjusting the number of reactive surface sites of the adsorbent from fitting batch sorption distribution coefficient (Kd) values.

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Competitive sorption and transport of Pb2+, Ni2+, Mn2+, and Zn2+ in lateritic soil columns

Cited by 53 publications

References 29 publications

Binding and setting of kaolin based materials with natural organic acids

Binding and setting of kaolin based materials with natural organic acids

Vertical Distribution and Mobility of Heavy Metals in Agricultural Soils along Jishui River Affected by Mining in Jiangxi Province, China

Metals and Metalloid Removal by Colloidal Humic Acid–Goethite: Column Experiments and Geochemical Modeling

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