Research on safety early warning of uranium tailings dam based on abnormal radioactive indexes of water leachate

Xianwei Wu; Yang Hong; Zhangkai Chen; Tiejun Zhang; Yue Ding; Yifan Chen; Ming Lan

doi:10.1016/j.jenvrad.2023.107148

Research on safety early warning of uranium tailings dam based on abnormal radioactive indexes of water leachate

J Environ Radioact. 2023 Jun:262:107148. doi: 10.1016/j.jenvrad.2023.107148. Epub 2023 Mar 13.

Authors

Xianwei Wu¹, Yang Hong², Zhangkai Chen³, Tiejun Zhang⁴, Yue Ding⁵, Yifan Chen⁶, Ming Lan⁷

Affiliations

¹ School of Resources Environmental and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, Hengyang, 421001, China.
² Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, Hengyang, 421001, China.
³ School of Resources Environmental and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China.
⁴ China Nuclear Industry 23 Construction co., LTD., Beijing, 101300, China.
⁵ College of Finance and Statistics, Hunan University, Changsha, 410000, Hunan, China.
⁶ School of Resources Environmental and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, Hengyang, 421001, China. Electronic address: usccyf@163.com.
⁷ School of Resources Environmental and Safety Engineering, University of South China, Hengyang, 421001, Hunan, China; Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment, Hengyang, 421001, China. Electronic address: lm1988@usc.edu.cn.

PMID: 36921389
DOI: 10.1016/j.jenvrad.2023.107148

Abstract

The radioactive index value of the leachate of the uranium tailings dam is affected by the internal damage of the dam. Therefore, a way of using the deviation of the radioactive index concentration in the leachate to warn the instability of the dam is innovatively proposed in this paper. Firstly, the SSA-BP algorithm is used to predict and analyze the five groups of parameters U, Ra, ∑ α, ∑ β and Rn. Then, the deviation between the actual value and the predicted value is computed. Finally, an early warning is given based on the entropy weight extension decision-making model. The model is verified by the leachate environment monitoring data of a uranium tailings dam in southern China from 2016 to 2020, which shows that the model can effectively caution of the instability of the uranium tailings dam and provides a reference for the subsequent decommissioning management.

Keywords: Early warning; SSA-BP; Uranium tailings dam; Water leachate.

MeSH terms

China
Radiation Monitoring*
Soil Pollutants, Radioactive* / analysis
Uranium* / analysis
Water

Substances

Uranium
Water
Soil Pollutants, Radioactive