Immobilization of Nickel and Other Metals in Contaminated Sediments by Hydroxyapatite Addition

Seaman, John C.; Arey, J. Samuel; Bertsch, Paul M.

doi:10.2134/jeq2001.302460x

Cited by 163 publications

(114 citation statements)

References 34 publications

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“…The formation in contaminated soils of insoluble lead compounds following AP addition has been suggested (Greman et al, 2001;Seaman et al, 2001) and demonstrated (Laperche et al, 1997;Ryan et al, 2001). Fewer works have been undertaken on other potentially hazardous elements, but the precipitation of metal phosphate compounds (e.g., Ni, Zn, Cd) was suggested from laboratory and field studies (Valsami-Jones et al, 1998;Greman et al, 2001;Seaman et al, 2001), although these compounds are more soluble than Pb-phosphates. When Zn 2+ is added to AP suspension, laboratory experiments showed that this element reacts with AP or the solute species resulting from its dissolution (Xu and Schwartz, 1994;Peaudecerf, 2002) (Fuierer et al, 1994;Xu and Schwartz, 1994) and, in addition, on the proton activity since the dissolution rate of AP is pH-dependent (section 2.1.3, and Valsami-Jones et al, 1998).…”

Section: Effect Of Amendments On Zn Speciationmentioning

confidence: 95%

“…The precipitation of sparingly soluble Pb-phosphates, namely Pb hydroxy-and chloro-pyromorphite (K sp =10 -63.1 and 10 -84.4 , respectively; Nriagu, 1984), after the addition of AP, has been extensively reported from laboratory experiments under medium to moderately acidic conditions (Ma et al, 1993;Lower et al, 1998;Valsami-Jones et al, 1998;Zhang and Ryan, 1999). The formation in contaminated soils of insoluble lead compounds following AP addition has been suggested (Greman et al, 2001;Seaman et al, 2001) and demonstrated (Laperche et al, 1997;Ryan et al, 2001). Fewer works have been undertaken on other potentially hazardous elements, but the precipitation of metal phosphate compounds (e.g., Ni, Zn, Cd) was suggested from laboratory and field studies (Valsami-Jones et al, 1998;Greman et al, 2001;Seaman et al, 2001), although these compounds are more soluble than Pb-phosphates.…”

Section: Effect Of Amendments On Zn Speciationmentioning

confidence: 99%

“…This approach to reducing the mobility of metals consists of adding chemically-reactive mineral amendments to establish vegetation with metal-tolerant plant species (Berti and Cunningham, 2000). A large number of amendments have been tested, including lime (Li and Chaney, 1998;Hamon et al, 2002), Fe and Mn oxyhydroxides (Mench et al, 1994a;Mench et al, 1994b;Mench et al, 2000;Mench et al, 2003a), hydroxylapatite (Chlopecka and Adriano, 1996;Cotter-Howells and Caporn, 1996;Laperche et al, 1996;Greman et al, 2001;Seaman et al, 2001), alumino-silicates including zeolite (Chlopecka and Adriano, 1996;Knox et al, 2001) and beringite (Vangronsveld et al, 1995a;Vangronsveld et al, 1995b;Vangronsveld, 1998), and steel residues including Thomas basic slag (Mench et al, 1994a;Mench et al, 1994b) and steel shot (Sappin-Didier, 1995;Mench et al, 2003a). Beringite, steel shot, and hydroxylapatite are particularly efficient and lasting amendments, especially when used in combination (Boisson-Gruppen, 1999;Mench et al, 2003b).…”

Section: Introductionmentioning

confidence: 99%

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The effect of phytostabilization on Zn speciation in a dredged contaminated sediment using scanning electron microscopy, X-ray fluorescence, EXAFS spectroscopy, and principal components analysis

Panfili

Manceau

Sarret

et al. 2005

Geochimica et Cosmochimica Acta

122

129

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Running Title: Effect of phytostabilzation on Zn speciation in dredged sediment 2 ABSTRACTThe maintenance of waterways generates large amounts of dredged sediments, which are deposited on adjacent land surfaces. These sediments are often rich in metal contaminants and present a risk to the local environment. Understanding how the metals are immobilized at the molecular level is critical for formulating effective metal containment strategies, such as phytoremediation. In the present work, the mineralogical transformations of Zn Seven Zn species were identified at the micrometer-scale : sphalerite, gahnite, franklinite, Zncontaining ferrihydrite and phosphate, (Zn-Al)-hydrotalcite, and Zn-substituted, kerolite-like, trioctahedral phyllosilicate. Bulk fractions of each species were quantified by LSF of the powder EXAFS spectra to linear combinations of the identified Zn species spectra.In the untreated and unvegetated sediment, Zn was distributed as ~50 % (mole ratio of total Zn) sphalerite, ~40 % Zn-ferrihydrite, and ~10-20 % (Zn-Al)-hydrotalcite plus Znphyllosilicate. In unvegetated but amended sediments (AP and TS), ZnS and Zn-ferrihydrite each decreased by 10 to 20 % and were replaced by Zn-phosphate (~30-40 %). In the presence of plants, ZnS was almost completely dissolved and the released Zn bound to phosphate (~40-60 %) and to Zn phyllosilicate plus (Zn,Al)-hydrotalcite (~20-40 %). Neither the plant species 3 nor the co-addition of mineral amendment affected the Zn speciation in the vegetated sediment.The sediment pore waters were supersaturated with respect to Zn-containing trioctahedral phyllosilicate, near-saturation with respect to Zn-phosphate, and strongly undersaturated with respect to (Zn,Al)-hydrotalcite. Therefore, the formation of (Zn,Al)-hydrotalcite in slightly alkaline conditions ought to result from heterogenous precipitation on mineral surface. 4

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Section: Effect Of Amendments On Zn Speciationmentioning

confidence: 95%

Section: Effect Of Amendments On Zn Speciationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The effect of phytostabilization on Zn speciation in a dredged contaminated sediment using scanning electron microscopy, X-ray fluorescence, EXAFS spectroscopy, and principal components analysis

Panfili

Manceau

Sarret

et al. 2005

Geochimica et Cosmochimica Acta

122

129

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“…In addition, Barcelona and Holm (1991), Pantsar-Kallio et al (2001) and Seaman et al (2001) reported that oxidation and reduction reactions are important in the fate, transport and toxicity of Cr in the soil. These reactions are governed by many factors including organic matter, pH, aeration, soil moisture content, wetting and drying, microbial activity, clay mineral content and availability of electron donors and acceptors.…”

Section: Resultsmentioning

confidence: 99%

Prediction of copper and chromium concentrations in bean leaves based on an artificial neural network model

Hattab

Hambli

2014

Int. J. Environ. Sci. Technol.

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The assessment of copper and chromium concentrations in plants requires the quantification of a large number of soil factors that affect their potential availability and subsequent toxicity and a mathematical model that predicts their relative concentrations in plants. While many soil characteristics have been implicated as altering copper and chromium availability to plants in soil, accurate, rapid and simple predictive models of metal concentrations are still lacking for soil and plant analysis. In the current study, an artificial neural network model was developed and applied to predict the exposure of bean leaves (BL) to high concentrations of copper and chromium versus some selected soil properties (pH, soil electrical conductivity and dissolved organic carbon). A series of measurements was performed on soil samples to assess the variation of copper and chromium concentrations in BL versus the soil inputs. The performance of the artificial neural network model was then evaluated using a test data set and applied to predict the exposure of the BL to the metal concentration versus the soil inputs. Correlation coefficients of 0.99981 and 0.9979 for Cu and 0.99979 and 0.9975 for Cr between the measured and artificial neural networks predicted values were found, respectively, during the testing and validation procedures. Results showed that the artificial neural network model can be successfully applied to the rapid and accurate prediction of copper and chromium concentrations in BL.

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“…Figure 3 shows the coupled effects of the pH and EC on the Cr concentration in BL for two different values of DOC (14 and 34 mg.l -1 ). (2001) and Seaman et al (2001) reported that oxidation and reduction reactions are important in the fate, transport, and toxicity of Cr in the soil. These reactions are governed by many factors including organic matter, pH, aeration, soil moisture content, wetting and drying, microbial activity, the content in clay minerals and availability of electron donors and acceptors.…”

Section: Neural Network Modeling Resultsmentioning

confidence: 99%

Application of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils

Hattab

Hambli

Motelica-Heino

et al. 2013

Journal of Geochemical Exploration

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The assessment of chromium concentrations in plants requires the quantification of a large number of soil factors that affect their potential availability and subsequent toxicity and a mathematical model that predicts their relative concentrations. Many soil characteristics can change the availability of chromium (Cr) to plants in soils. However, accurate, rapid and simple predictive models of metal concentrations are still lacking in soil and plant analysis. In the present work a novel artificial neural network (ANN) model was developed as an alternative rapid and accurate tool for the prediction of Cr concentration in dwarf bean leaves grown in the laboratory on phytoremediated contaminated soils treated with different amendments. First, sixteen (4x4) soil samples were harvested from a phytoremediated contaminated site located in south-western France. Second, a series of measurements were performed on the soil samples.The inputs are the soil amendment, the soil pH, the soil electrical conductivity and the dissolved organic carbon of the soil and the output is the concentration of Cr in the dwarf bean 2 leaves. Third, an ANN model was developed and its performance was evaluated using a test data set and then applied to predict the exposition of the bean leaves to the Cr concentration versus the soil inputs. The performance of the ANN method was compared with the traditional multi linear regressions method using the training and test data sets. The results of this studyshow that the ANN model trained on experimental measurements can be successfully applied to the rapid prediction of plant exposition to Cr.

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Immobilization of Nickel and Other Metals in Contaminated Sediments by Hydroxyapatite Addition

Abstract: ABSTRACTnah River Site (SRS) near Aiken, SC, is a prime example, having been contaminated with a variety of metals. proximately 5.3 ha, and the potential to drastically disturb the Upper Three Runs/Tims Branch stream system and possibly enhance contaminant transport due to ero-

Cited by 163 publications

References 34 publications

The effect of phytostabilization on Zn speciation in a dredged contaminated sediment using scanning electron microscopy, X-ray fluorescence, EXAFS spectroscopy, and principal components analysis

The effect of phytostabilization on Zn speciation in a dredged contaminated sediment using scanning electron microscopy, X-ray fluorescence, EXAFS spectroscopy, and principal components analysis

Prediction of copper and chromium concentrations in bean leaves based on an artificial neural network model

Application of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils

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