Literature DB >> 25464044

Radionuclides distribution, properties, and microbial diversity of soils in uranium mill tailings from southeastern China.

Xun Yan1, Xuegang Luo2.   

Abstract

OBJECTIVE: To collect the radioactive contamination data for environmental rehabilitation in uranium mill tailings in southeastern China.
METHOD: The sample areas were divided into high, moderate and low concentration areas, according to the uranium concentration. For every area, 3 soil samples were collected at 0-15 cm, 15-30 cm and 30-45 cm depth respectively, with 5 repetitions for each. Total 45 (3 × 5 × 3) soil samples were collected. Physicochemical properties and enzyme activities of soils were determined as described by references. The concentrations of the radionuclides (238)U, (232)Th, (226)Ra and (40)K in soils were determined by using HPGe gamma-ray spectrometer. Soil microbial diversity was analyzed via denaturing gradient gel electrophoresis (DGGE).
RESULTS: Soil samples were all acidic. Physicochemical properties, like pH, content of total/available N, P and K, as well as enzyme activities were all increased along with decreased uranium concentration. The (232)Th concentration was increased with the decreased uranium concentration and was not influenced by the depth of sample sites. However, uranium concentration and depth of sample showed no significant influence on the concentrations of (226)Ra and (40)K. The concentration of (232)Th was significantly correlated with that of (226)Ra and (40)K, while the concentrations of (226)Ra and (40)K were significantly correlated. However, Pearson correlation coefficients between (238)U and other radionuclides were not significant. The microbial population in different concentration areas was different with four domain strains in low area, and two for both moderate and high areas. Furthermore, in each sample site, Proteobacteria was the most dominant flora, while environmental samples were the second according to GenBank database. Moreover, Serratia sp. of Proteobacteria was the dominant strain.
CONCLUSION: Radionuclides distribution in the uranium mill tailing showed a profound influence on soil properties and microbial diversity. This primarily study might provide valuable data for further research towards a better understanding of the radioactive contamination in uranium mill tailings in southeast China.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Radionuclides; Soil microbial diversity; Soil properties; Uranium mill tailings

Mesh:

Substances:

Year:  2014        PMID: 25464044     DOI: 10.1016/j.jenvrad.2014.09.019

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  4 in total

1.  Thorium content in soil, water and sediment samples and fluvial sediment-associated transport in a catchment system with a semiarid-coastal interface, Brazil.

Authors:  Rennan Cabral Nascimento; Yuri Jacques Agra Bezerra da Silva; Clístenes Williams Araújo do Nascimento; Ygor Jacques Agra Bezerra da Silva; Rayanna Jacques Agra Bezerra da Silva; Adrian L Collins
Journal:  Environ Sci Pollut Res Int       Date:  2019-10-02       Impact factor: 4.223

2.  Assessment of Bacterial Community Composition of Anaerobic Granular Sludge in Response to Short-Term Uranium Exposure.

Authors:  Taotao Zeng; Shiqi Zhang; Xiang Gao; Guohua Wang; Piet N L Lens; Shuibo Xie
Journal:  Microb Ecol       Date:  2018-02-07       Impact factor: 4.552

3.  Differential expression of NPM, GSTA3, and GNMT in mouse liver following long-term in vivo irradiation by means of uranium tailings.

Authors:  Lan Yi; Hongxiang Mu; Nan Hu; Jing Sun; Jie Yin; Keren Dai; Dingxin Long; Dexin Ding
Journal:  Biosci Rep       Date:  2018-10-17       Impact factor: 3.840

4.  Occurrence and Distribution of Uranium in a Hydrological Cycle around a Uranium Mill Tailings Pond, Southern China.

Authors:  Wenjie Ma; Bai Gao; Yadan Guo; Zhanxue Sun; Yanhong Zhang; Gongxin Chen; Xiaojie Zhu; Chunyan Zhang
Journal:  Int J Environ Res Public Health       Date:  2020-01-26       Impact factor: 3.390

  4 in total

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