Laboratory simulation studies of uranium mobility in natural waters

Impact of organic matter and speciation on the behaviour of uranium in submerged ultrafiltration

“…The authors explain the sorption mainly through ion exchange of the UO 2 OH + species with hydroxyl groups on the surface [36,37]. Giblin et al [38] confirmed that adsorption occurs more easily for UO 2 OH + compared to UO 2 2+ . This was due to surrounding water molecules being less attracted to UO 2 OH + , allowing it to react with the surface of the studied material.…”

Heterogeneous reduction of uranyl by micas: Crystal chemical and solution controls

“…There have been numerous experimental studies on the interaction of U VI aq with layersilicate clays (Goldsztaub and Wey, 1955;Giblin, 1980;Borovec, 1981;Giblin et al, 1981;Tsunashima et al, 1981;Ames et al, 1982Ames et al, , 1983aAndersson et al, 1982;ChisholmBrause et al, 1992ChisholmBrause et al, , 1994Dent et al, 1992;McKinley and Sholtis, 1993, and references therein;Vandergraaf et al, 1993, see references therein;Hudson et al, 1994;Morris et al, 1994;Ticknor, 1994;McKinley et al, 1995;Ticknor et al, 1996;Giaquinta et al, 1997;Turner et al, 1996;Morris et al, 1997;Pabalan and Turner, 1997;Redden et al, 1997;Akcay, 1998;Pabalan et al, 1998;Thompson et al, 1998;Nero et al, 1999;Syed, 1999). None of these studies, however, addressed heterogeneous reduction of U VI by structural Fe II .…”

Development and testing of three hybrid methods for the assessment of aquifer vulnerability to nitrates, based on the drastic model, an example from NE Korinthia, Greece

“…Regression models have been widely used in environmental studies (Giblin et al, 1981;Rao et al, 1997;Kreuger and Tornqvist, 1998;Xinde et al, 2000), and particularly in aquifer vulnerability assessment (Mueller et al, 1997;Tesoriero and Voss, 1997;Rupert, 1998;Nolan et al, 2002). Multiple linear regression, which is the most widely used regression model, uses the Ordinary Least Squares (OLS) method for the determination of parameter weight factors.…”