Copper Mobility in Soils as Affected by Sewage Sludge and Low Molecular Weight Organic Acids

Bahaminyakamwe, L.; Šimůnek, Jirka; Dane, J. H.; Adams, J. F.; Odom, J. W.

doi:10.1097/01.ss.0000187349.31987.ff

Cited by 19 publications

(9 citation statements)

References 15 publications

(20 reference statements)

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“…The isotherms showed that the Toledo biosolids had at least 45 mg Cd/g and 12 mg As/g sorption capacity. This sorption capacity for the Toledo sample for Cd was similar to the Cu maximum sorption capacity (50 mg Cu/g biosolids) reported for biosolids from Alabama (Bahaminyakamwe et al, 2006).…”

Section: Sorption Isothermssupporting

confidence: 56%

Geochemical Modeling of Trace Element Release from Biosolids

Apul

Diaz

Gustafsson

et al. 2010

Environmental Engineering Science

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Biosolids-borne trace elements may be released to the environment when biosolids are used as fertilizers in farm land. Trace element leachate concentrations from biosolids are known to be limited by both organic and inorganic sorbent surfaces; this experimental evidence has not been previously verified with geochemical modeling of sorption reactions. In this study, pH-dependent leaching experiments and sorption isotherm experiments were coupled with a multisurface geochemical modeling approach. Biosolids samples were obtained from Toledo and Chicago wastewater treatment plants; their sorbent surfaces were defined and modeled as a combination of organic matter (OM) and Fe-, Al-, and Mn-oxides. The multisurface geochemical modeling approach was partially successful in predicting the pH-dependent leachate concentrations of As, Cd, Cr, Cu, Mo, Ni, and Zn. Both modeled and experimental data indicated that As and Mo in biosolids were bound to Fe-oxides; Cd, Cr, and Cu were bound mainly to OM; and as pH increased the fractions of Cd and Cu bound to Fe-oxides in the biosolids matrix increased. Ni and Zn were distributed between OM and Fe-oxides, and the percentage of each fraction depended on the pH. This study showed that the multisurface geochemical model could be used to generate As (and to a lesser extent Cd) Freundlich isotherm parameters for biosolids. However, the composition and reactivity of solid and dissolved OM was identified as a source of uncertainty in the modeling results. Therefore, more detailed studies focusing on the reactivity of isolated biosolids OM fractions with regard to proton and metal binding are needed to improve the capability of geochemical models to predict the fate of biosolids-borne trace metals in the environment.

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Section: Sorption Isothermssupporting

confidence: 56%

Geochemical Modeling of Trace Element Release from Biosolids

Apul

Diaz

Gustafsson

et al. 2010

Environmental Engineering Science

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“…Among others, the HYDRUS program was chosen for the study of water flow (Šimůnek et al 2008), metal transport through the soil (Jacques et al 2008;) and mainly of the root metal uptake (Šimůnek and Hopmans 2009). This model was recently used to simulate the transport of Cd (Moradi et al 2005), Cu (Bahaminyakamwe et al 2006), and Zn, Cu and Pb (Ngoc et al 2009) in the soil. Despite the several applications of the HYDRUS software packages for simulating metal transport through the soils, limited information exists in the literature about their utilization for simulating Cd, Cu, Pb and Zn transport in soils coupled with their root uptake.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Cd, Cu, Pb and Zn transport in metal contaminated soil and their uptake by willow (Salix × smithiana) using HYDRUS-2D program

2012

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“…Commonly, the transport of metals in soil is studied by applying the convection diffusion equation (CDE) to data obtained from transport tests performed in soil columns (Camobreco et al, 1996;McLaren et al, 2005;Bahaminyakamwe et al, 2006;Carrillo-González et al, 2006). Metal transport processes often involve preferential pathways resulting in a nonuniform distribution of metals in soils which affects element bioavailability and uptake by plants, and can be the source of phytotoxicity (Wilcke and Kaupenjohann, 1998;Zhang and Xu, 2003).…”

Section: Introductionmentioning

confidence: 99%