Assessment of co-contaminant effects on uranium and thorium speciation in freshwater using geochemical modelling. (November 2015)

• Record Type: Journal Article
• Authors: Lofts, Stephen; Fevrier, Laureline; Horemans, Nele; Gilbin, Rodolphe; Bruggeman, Christophe; Vandenhove, Hildegarde
• Is Part Of: Journal of environmental radioactivity. Volume 149(2015:Nov.)
• Page Start: 99
• Page End: 109
• Publication Date: 2015-11
• Subjects: Uranium -- Thorium -- Speciation -- Modelling -- Contaminants; HFO hydrous ferric oxide -- HAlO hydrous aluminium oxide -- BLM biotic ligand model -- DOC dissolved organic carbon -- DOM dissolved organic matter; Radioactivity -- Periodicals; Radiation, Background -- Periodicals; Radioecology -- Periodicals; Radioactive pollution -- Periodicals; Environmental Pollutants -- Periodicals; Radioactive Pollutants -- Periodicals; Radioactivity -- Periodicals; Radioécologie -- Périodiques; Pollution radioactive -- Périodiques; Fond de rayonnement -- Périodiques; 539.752
• DOI: 10.1016/j.jenvrad.2015.07.011
• Languages: English
• ISSNs: 0265-931X

Abstract

Abstract: Speciation modelling of uranium (as uranyl) and thorium, in four freshwaters impacted by mining activities, was used to evaluate (i) the influence of the co–contaminants present on the predicted speciation, and (ii) the influence of using nine different model/database combinations on the predictions. Generally, co–contaminants were found to have no significant effects on speciation, with the exception of Fe(III) in one system, where formation of hydrous ferric oxide and adsorption of uranyl to its surface impacted the predicted speciation. Model and database choice on the other hand clearly influenced speciation prediction. Complexes with dissolved organic matter, which could be simulated by three of the nine model/database combinations, were predicted to be important in a slightly acidic, soft water. Model prediction of uranyl and thorium speciation needs to take account of database comprehensiveness and cohesiveness, including the capability of the model and database to simulate interactions with dissolved organic matter. Measurement of speciation in natural waters is needed to provide data that may be used to assess and improve model capabilities and to better constrain the type of predictive modelling work presented here. Highlights: Co–contaminants did not largely influence predicted U or Th speciation in freshwaters. The predicted speciation depended on the model formulation and database. Speciation modelling should be done with up to date databases.