Literature DB >> 32050322

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

S Manoj1, M Thirumurugan2, L Elango3.   

Abstract

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.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Batch test; Distribution coefficient; Gogi; Multiple regression equation; Soil properties

Year:  2019        PMID: 32050322     DOI: 10.1016/j.chemosphere.2019.125411

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Transcriptomic and Metabolomic Analyses Reveal the Differential Regulatory Mechanisms of Compound Material on the Responses of Brassica campestris to Saline and Alkaline Stresses.

Authors:  Ziwei Li; Mengjie An; Dashuang Hong; Doudou Chang; Kaiyong Wang; Hua Fan
Journal:  Front Plant Sci       Date:  2022-02-23       Impact factor: 5.753

  1 in total

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