Cycles of Trace Elements (Copper and Zinc) in a Eutrophic Lake

Sigg, Laura; Kuhn, Annette; Xue, Hanbin; Kiefer, E.; Kistler, David

doi:10.1021/ba-1995-0244.ch008

Cited by 26 publications

(33 citation statements)

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“…For this modeling, detailed studies of porewater chemical composition (e.g., Tessier et al 1989;Audry et al 2011) and analysis of sediment trap materials (e.g., Sigg 1985;Sigg et al 1995;Viollier et al 1997) would be necessary to constrain the mass balance and fluxes of elements within the lake body. In addition, measurements of dissolved and particulate concentrations of incoming springs and atmospheric depositions (e.g., Hamilton-Taylor and Willis 1990) should allow for the overall TE mass balance assessment at the scale of the lake and watershed of incoming rivers.…”

Section: Discussionmentioning

confidence: 99%

Size Fractionation of Trace Elements in a Seasonally Stratified Boreal Lake: Control of Organic Matter and Iron Colloids

et al. 2012

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The colloidal distribution and size fractionation of organic carbon and trace elements were studied in a seasonally stratified, organic-rich boreal lake, Lake Maselga, located in the European subarctic zone (NW Russia, Arkhangelsk region). This study took place over the course of 5 years in winter (glacial) and summer periods and during the spring and autumn overturn. A newly developed in situ dialysis technique (1, 10, and 50 kDa) and traditional frontal filtration and ultrafiltration (20, 10, 5, 0.22, and 0.025 lm) were used to assess element concentrations at different depths. No significant changes in element concentrations occurred during filtration through sub-colloidal pore-size membranes (20-0.22 lm), suggesting a negligible amount of particulate Fe, OC, and associated trace metals. Large colloids (0.025-0.22 lm) were found to be the main carriers of poorly soluble elements (Fe, Al, Ti, Zr, REEs, Th, and U) during the summer and winter stratification. There was also a clear change in the vertical pattern of the percentage of colloidal Al, Ti, V, Cr, Fe, and Ni during different seasons, and the greatest proportion of colloidal forms was observed during the spring and autumn overturn. This pattern is most likely linked to the dominance of soil (allochthonous) organic carbon, which complexes with trace metals during these periods. During the summer seasons, autochthonous production of small exometabolites or photodegradation increases the concentration of the lowmolecular weight fractions (\1 kDa) that dominate the speciation of divalent heavy metals Electronic supplementary material The online version of this article (in surface horizons. The colloidal status of As (30-60%), which was documented in different seasons along the full depth of the water column, is most likely linked to the presence of organic complexes. The overall results of this study suggest that changes in the colloidal speciation of trace elements with depth in different seasons depend on changes in the redox conditions, the input of soil OM, the biodegradation of plankton biomass releasing dissolved organic matter in the bottom horizons, and in upward diffusion from the sediments.

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Section: Discussionmentioning

confidence: 99%

Size Fractionation of Trace Elements in a Seasonally Stratified Boreal Lake: Control of Organic Matter and Iron Colloids

et al. 2012

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“…The model has proved a valuable tool in evaluating this field data set. Given the inherent simplifications of WHAM6 and the input data used in the modeling, including the omission of other adsorbents (e.g., clay minerals and silica) and organic ligands of microbial origin (Sigg et al 1995;Ellwood et al 2001), further testing of the model against other field-data sets is required before it can be used more generally for predictive purposes.…”

Section: Discussionmentioning

confidence: 99%

“…With other metals the data appear contradictory. In the case of Cu an association with Fe and Mn oxides has been proposed on the basis of laboratory binding experiments and particle flux measurements (Baccini and Joller 1981;Sigg et al 1995;Xue et al 1997), whereas dissolved Cu profiles show few features other than lower concentrations below the oxic-anoxic boundary, due to sulfide precipitation, across the full range of anoxic-basin types (Baccini and Joller 1981;Jacobs and Emerson 1982;Kremling 1983;Jacobs et al 1985;Balistrieri et al 1992a;Balistrieri et al 1994;Xue et al 1997). Another issue is an inability to separate the individual effects of redox cycling associated with Fe and Mn oxides, due to the overlapping nature of their distributions and the compressed depth scales of processes around the O 2 -H 2 S interface.…”

Section: Introductionmentioning

confidence: 99%

Resolving and modeling the effects of Fe and Mn redox cycling on trace metal behavior in a seasonally anoxic lake

Hamilton−Taylor

Smith

Davison

et al. 2005

Geochimica et Cosmochimica Acta

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Vertical profiles of the dissolved and particulate (Ͼ0.45 m) concentrations of Fe, Mn, Co, Ni, Cu, Pb, Al and Ba were determined on two occasions (14 and 22 August 1996) during summer stratification in a seasonally anoxic lake (Esthwaite Water, UK). The results were combined with contemporaneous in situ measurements of water-column remobilization of the metals from settling particles at the base of the suboxic zone and other ancillary measurements. The combined data were interpreted with the aid of an equilibrium speciation model (WHAM6), incorporating metal-humic interactions and a surface-complexation description of binding to Fe and Mn oxides. The behavior of all the metals was related in different ways to the position of the O 2 -H 2 S interface and to Fe and Mn redox cycling. In the region of the O 2 -H 2 S interface the behavior of Co and to a lesser degree Ni was dominated by Mn redox cycling. Ba behavior was dominated by the biogenic precipitation and dissolution of barite and to a lesser degree by Mn redox cycling. The behavior of Al was linked to both Mn and Fe redox cycling, although the extent of binding to the oxides and to humic substances was poised with respect to pH. Unlike the other metals, the profiles of Pb and Cu showed little variation above the dissolved sulfide maximum, but modeling indicated that binding of Pb was significant to both Mn and Fe oxides. The featureless nature of the Cu profiles in the upper part of the water column was linked to its overriding association with dissolved humic substances. Below the dissolved sulfide maximum, Co, Ni, Ba, Cu, Pb and Mn were all affected by sulfide precipitation, probably through a common association with FeS. In the case of Co, Ni, Cu and Pb, inverse relationships between the measured dissolved and particulate concentrations were attributed to the coexistence of both filterable and nonfilterable FeS particles and associated mass balance effects. The observed behavior of the metals in relation to the role played by Fe and Mn oxides was generally consistent with WHAM6 predictions. The model predictions highlighted the fact that trace metal speciation in general, and binding to Mn and Fe oxides in particular, can be highly sensitive to the variations in solution conditions found in freshwater systems.

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“…The composition and concentrations of these substances can, therefore, vary significantly from one water system to another, and a given system may exhibit variations seasonally and in both horizontal and vertical directions (Giusti et al, 1993;Sigg et al, 1995;Hamilton-Taylor et al, 1996a, b;Achterberg et al, 1997;Müller et al, 1997). trace elements should be in their maximum oxidation states, because the redox potential of the O 2 /H 2 O couple is higher than that of any other couple.…”

Section: Composition and Concentration Of Freshwater Componentsmentioning

confidence: 99%

“…Most laboratory studies have been conducted separately with cells (mostly cell walls from dead organisms) or with dissolved extracellular ligands. Further studies utilising organisms encountered in real systems and conducted under typical natural freshwater conditions are urgently needed (Bates et al, 1982;Xue and Sigg, 1990;Admiraal et al, 1995;Sigg et al, 1995;Hamilton-Taylor et al, 1996a, b;Koelmans et al, 1996;Achterberg et al, 1997;Schorer and Eisele, 1997;Douglas and Beveridge, 1998).…”

Section: 434mentioning

confidence: 99%