Literature DB >> 21355530

34S/32S fractionation during sulfate reduction in groundwater treatment systems: reactive transport modeling.

Blair D Gibson1, Richard T Amos, David W Blowes.   

Abstract

Isotope ratio measurements provide a tool for indicating the relative significance of biogeochemical reactions and for constraining estimates of the extent and rate of reactions in passive treatment systems. In this paper, the reactive transport model MIN3P is used to evaluate sulfur isotope fractionation in column experiments designed to simulate treatment of contaminated water by microbially mediated sulfate reduction occurring within organic carbon-based and iron and carbon-based permeable reactive barriers. A mass dependent fractionation model was used to determine reaction rates for 32S and 34S compounds during reduction, precipitation, and dissolution reactions and to track isotope-dependent mass transfer during SO4 removal. The δ34S values obtained from the MIN3P model were similar to those obtained from the Rayleigh equation, indicating that there was not a significant difference between the conceptual models. Differences between the MIN3P derived α value and the Rayleigh equation derived value were attributed to minor changes in the dissolution and precipitation rate of gypsum and mathematical differences in the fitting models. The results indicated that the prediction of δ34S was fairly insensitive to differences in the fractionation factor at the concentration ranges measured in the current study. However, more significant differences would be expected at low sulfate conditions.

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Year:  2011        PMID: 21355530     DOI: 10.1021/es1038276

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  The impact of biostimulation on the fate of sulfate and associated sulfur dynamics in groundwater.

Authors:  Ziheng Miao; Concepcion Carreón-Diazconti; Kenneth C Carroll; Mark L Brusseau
Journal:  J Contam Hydrol       Date:  2014-06-27       Impact factor: 3.188

  1 in total

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