Evaluation of TENORMs field measurement with actual activity concentration in contaminated soil matrices.
The occurrence of technologically enhanced naturally occurring radioactive materials (TENORMs) concentrated through anthropogenic processes in contaminated soils at oil and gas facilities represent one of the most challenging issues facing the Canadian and US oil and gas industry today. Natural occurring radioactivity materials (NORMs) field survey techniques are widely used as a rapid and cost-effective method for ascertaining NORMs risks associated with contaminated soils and waste matrices as well other components comprising the environment. Because of potentially significant liability issues with Norms if not properly managed, the development of quantitative relationships between TENORMs field measurement techniques and laboratory analysis present a practical approach in facilitating the interim safe decision process since laboratory results can take days. The primary objective of this study was to evaluate the relationships between direct measurements of field radioactivity and various laboratory batch techniques using data collection technologies for NORM and actual laboratory radioactivity concentrations. The significance of selected soil characteristics that may improve or confound these relationships in the formulation of empirical models was also achieved as an objective. The soil samples used in this study were collected from 4 different locations in western Canada and represented a wide range in terms of their selected chemical and physical properties. Multiple regression analyses for both field and batch data showed a high level of correlation between radionuclides Ra-226 and Ra-228 as a function of data collection technologies and relevant soil parameters. All R2 values for the empirical models were greater than 0.80 and significant at P<0.05. The creation of these empirical models could be valuable in improving predictability of radium contamination in soils and therefore, reduce analytical costs as well as environmental liabilities.
Saint-Fort
Roger
R
Department of Chemical, Biological & Environmental Sciences, Mount Royal College, Calgary, Alberta, Canada. rsaintfort@mtroyal.ca
Alboiu
Mirtyll
M
Hettiaratchi
Patrick
P
D001955:British Columbia; D008962:Models, Theoretical; D011834:Radiation Monitoring / Q000295:instrumentation / Q000379:methods*; D011883:Radium / Q000032:analysis*; D012044:Regression Analysis; D012987:Soil / Q000032:analysis; D012990:Soil Pollutants, Radioactive / Q000032:analysis*; D013910:Thorium / Q000032:analysis*
D012987:Soil; D012990:Soil Pollutants, Radioactive; D013910:Thorium; D011883:Radium