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Weng R, Tian F, Chen G, Dong S, Bai J. Study on the Radioactivity Levels of Metal Tailings in the Lhasa Area of Tibet. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4525. [PMID: 36901534 PMCID: PMC10001911 DOI: 10.3390/ijerph20054525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
The main purpose of this study was to determine the natural radioactivity level of raw radionuclides in the metal tailings of a mine in Lhasa, Tibet, and to conduct sampling and detection in 17 typical metal tailing mines in Lhasa, Tibet. The specific activity concentrations of 226Ra, 232Th, and 40K in the samples were calculated. The total αβχγ radiation, radon concentration, and outdoor absorbed dose rate in the air 1.0 m above the ground were measured. The γ radiation levels affecting miners and their surrounding residents were assessed. The results show that the radiation dose ranges from 0.08 μSv/h to 0.26 μSv/h, and the radon concentration ranges from 10.8 Bq/m3 to 29.6 Bq/m3, which does not exceed the national radiation-related standards, and the environmental hazard risk is low. The specific activity concentration of 226Ra ranged from 8.91 Bq/kg to 94.61 Bq/kg, the specific activity concentration of 232Th ranged from 2.90 Bq/kg to 89.62 Bq/kg, and the specific activity concentration of 40K was less than MDA to 762.89 Bq/kg. The average absorbed dose rate (DO) of the 17 mining areas was 39.82 nGy/h, the average annual effective dose rate (EO) was 0.057 mSv/y. The average external risk index of the 17 mining areas was 0.24, the average internal risk index was 0.34, and the average γ index was 0.31, all of which were less than the maximum permissible limit. This means that the metal tailings from all 17 mining areas were within the limit for γ radiation and, therefore, can be used in bulk as major building materials without posing a significant radiation threat to the residents of the study area.
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Zhang W, Bao G, Tang W, Dai G, Xiao J, Liu J, Wang Z, Xi J. Physiological response of barley seedlings to salinity and artemisinin combined stresses under freeze-thaw environment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:70552-70563. [PMID: 35588037 DOI: 10.1007/s11356-022-20800-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
In the Qinghai-Tibet Plateau, both the large daily temperature difference and soil salinization make plants susceptible to abiotic stresses such as freeze-thaw and salinity. Meanwhile, crops in this area can be affected by artemisinin, an antimalarial secondary metabolite produced in Artemisia. Under freeze-thaw and salinity stresses, artemisinin was induced as an allelopathy stress factor to explore the physiological response of highland barley, including the relative electrical conductivity (RC), soluble protein (SP) content, malondialdehyde (MDA) content, antioxidant enzyme activity, and water use efficiency (WUE). Compared with the control group, the contents of RC and MDA in seedling leaves under stress were significantly increased by 24.74-402.37% and 20.18-77.95%, indicating that cell membrane permeability was greatly damaged, and WUE was significantly decreased by 15.77-238.59%. The activity of enzymes increased under single stress and decreased under combined stress. Salinity, artemisinin, and freeze-thaw stress show a synergistic relationship; that is, compound stresses were more serious than single stress. In summary, the results of this study revealed the physiological and ecological responses of barley seedlings under different habitat stresses and the interactions among different stress factors.
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Affiliation(s)
- Wei Zhang
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Guozhang Bao
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China.
| | - Wenyi Tang
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Gejun Dai
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Jing Xiao
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Jiapeng Liu
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Zhao Wang
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education (Jilin University), Jilin Provincial Key Laboratory of Water Resources and Environment, College of New Energy and Environment, Jilin University, Changchun, 130012, China
| | - Jinghui Xi
- College of Plant Science, Jilin University, Changchun, 130062, China
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