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Classification and prediction of radon stable zone in uranium tailings pond: a case study from uranium tailings pond in sothern China

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成果类型:
期刊论文
作者:
Yifan Chen;Xianwei Wu;Tiejun Zhang;Min Zhang;Xingwang Dai;...
通讯作者:
Zhenghua Xu<&wdkj&>Yong Liu
作者机构:
[Yifan Chen; Xianwei Wu; Xingwang Dai] School of Resources Environmental and Safety Engineering, University of South China, Hengyang, China
[Tiejun Zhang] China Nuclear Industry 23 Construction Co., LTD., Beijing, China
[Min Zhang] China Nuclear Huachen Construction Engineering Co., LTD., Xi’an, China
[Zhenghua Xu] School of Mathematics and Physics, University of South China, Hengyang, China
[Yong Liu] College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China
通讯机构:
[Zhenghua Xu] S
[Yong Liu] C
School of Mathematics and Physics, University of South China, Hengyang, China<&wdkj&>College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China
语种:
英文
关键词:
Radon;Stable zone;WOA-BP;Early warning
期刊:
Journal of Radioanalytical and Nuclear Chemistry
ISSN:
0236-5731
年:
2023
卷:
332
期:
2
页码:
251-259
基金类别:
This work was supported by the “Thirteenth Five-Year Plan” Basic Technological Research Project (Grant Nos. JSZL2019403C001) and the Scientific Research Fund of Hunan Provincial Education Department (No. 20A425, No. 20A440).
机构署名:
本校为第一且通讯机构
院系归属:
数理学院
摘要:
Radon is a radioactive gas produced by the decay of radium in uranium tailings, which can migrate to the atmosphere through tiny pores in the soil and can be used to characterize the internal stability of tailings dam. A method for determining the stable zone of radon is proposed, in which the radon concentration of uranium tailings pond is divided into stable zone, asymptotically stable zone, and unstable zone, and through the WOA-BP neural network algorithm for intelligent early warning of stability zone. The results show that the MAPE (Mean Absolute Percentage Error) is reduced by 20.16% by...

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