TY - JOUR
T1 - Assessment of co-contaminant effects on uranium and thorium speciation in freshwater using geochemical modelling
AU - Lofts, Stephen
AU - Fevrier, Laureline
AU - Horemans, Nele
AU - Gilbin, Rodolphe
AU - Bruggeman, Christophe
AU - Vandenhove, Hildegarde
N1 - Score = 10
PY - 2015/11
Y1 - 2015/11
N2 - Speciation modelling of uranium (as uranyl) and thorium, in four freshwaters impacted by mining activities, was used to evaluate (i) the influence of the coecontaminants present on the predicted speciation, and (ii) the influence of using nine different model/database combinations on the predictions. Generally, coecontaminants 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.
AB - Speciation modelling of uranium (as uranyl) and thorium, in four freshwaters impacted by mining activities, was used to evaluate (i) the influence of the coecontaminants present on the predicted speciation, and (ii) the influence of using nine different model/database combinations on the predictions. Generally, coecontaminants 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.
KW - Uranium
KW - thorium
KW - speciation
KW - modelling
KW - contaminants
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_140373
UR - http://knowledgecentre.sckcen.be/so2/bibref/12897
U2 - 10.1016/j.jenvrad.2015.07.011
DO - 10.1016/j.jenvrad.2015.07.011
M3 - Article
VL - 149
SP - 99
EP - 109
JO - Journal of environmental radioactivity
JF - Journal of environmental radioactivity
ER -