Determination of distribution coefficient of uranium from physical and chemical properties of soil. 2020

S Manoj, and M Thirumurugan, and L Elango
Department of Geology, Anna University, Chennai, 600 025, Tamil Nadu, India. Electronic address: leaveittomanoj@gmail.com.

Uranium is a long lived radioactive element which is naturally present in minute concentrations in igneous, sedimentary and metamorphic rocks. These rocks when subjected to weathering results in the formation of soil which also has traces of uranium. Distribution coefficient (Kd) is a crucial parameter in environmental assessment which is used to predict the interaction and transport of uranium in groundwater. The objective of the study is to estimate the Kd of uranium in soils and to develop a relation between this and the soil parameters. Seven rock samples and twenty three soil samples were collected during this study. The Kd of rock samples of different grain sizes where determined and the soil samples were analysed for electrical conductivity, pH, grain size, bulk density, particle density, porosity, calcium carbonate, cation exchange capacity and Kd. The Kd of the soil increases with increase in soil pH up to 6, after which it gradually decreases. Multiple regression analysis was performed to quantify the effect of various soil parameters on soil Kd and equations were statistically significant. Thus, soil Kd in a region could be predicted using limited soil properties with such statistically significant equations.

UI MeSH Term Description Entries
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D006863 Hydrogen-Ion Concentration The normality of a solution with respect to HYDROGEN ions; H+. It is related to acidity measurements in most cases by pH pH,Concentration, Hydrogen-Ion,Concentrations, Hydrogen-Ion,Hydrogen Ion Concentration,Hydrogen-Ion Concentrations
D012987 Soil The unconsolidated mineral or organic matter on the surface of the earth that serves as a natural medium for the growth of land plants. Peat,Humus,Soils
D012990 Soil Pollutants, Radioactive Pollutants, present in soil, which exhibit radioactivity. Pollutants, Radioactive Soil,Radioactive Soil Pollutants
D014501 Uranium A radioactive element of the actinide series of metals. It has an atomic symbol U, atomic number 92, and atomic weight 238.03. U-235 is used as the fissionable fuel in nuclear weapons and as fuel in nuclear power reactors.
D014875 Water Pollutants, Radioactive Pollutants, present in water or bodies of water, which exhibit radioactivity. Pollutants, Radioactive Water,Radioactive Water Pollutants
D060587 Groundwater Liquid water present beneath the surface of the earth. Aquifers,Ground Water,Ground-Water,Subterranean Lakes,Underground Lakes,Underground Streams,Underground Water,Water Table,Aquifer,Ground Waters,Ground-Waters,Groundwaters,Lake, Subterranean,Lake, Underground,Lakes, Subterranean,Lakes, Underground,Stream, Underground,Streams, Underground,Subterranean Lake,Table, Water,Tables, Water,Underground Lake,Underground Stream,Underground Waters,Water Tables,Water, Underground,Waters, Underground

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