Response surface prediction model of radon exhalation rate on beach surface of uranium tailings pond based on single factor law

IF 1.5 3区 化学 Q3 CHEMISTRY, ANALYTICAL
Yifan Chen, Zhangkai Chen, Xianwei Wu, Juntao Huang, Yong Liu
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引用次数: 0

Abstract

Radon is a natural radioactive gas, which has great radiation hazards. Mastering the radon exhalation law under complex conditions is of great significance to the safety and stability of uranium tailings pond. Based on the self-developed artificial microclimate chamber, the single factor influence of water content, temperature and crack rate of overburden soil on radon exhalation rate of uranium tailings pond was explored through simulation experiments, and the corresponding single factor mathematical model was obtained. The response surface model of radon exhalation rate was constructed by combining whale optimization algorithm to achieve accurate prediction of radon exhalation rate. The test results of simulated seismic station vibration test also confirm the scientificity of the model. The results of this study can be used not only to guide the prediction and prevention of radon, but also to guide the early warning of uranium tailings pond instability.

Abstract Image

基于单因素定律的铀尾矿库滩面氡挥发率响应面预测模型
氡是一种天然放射性气体,具有极大的辐射危害。掌握复杂条件下氡的呼出规律,对铀尾矿库的安全稳定具有重要意义。基于自主研发的人工小气候室,通过模拟实验探讨了覆土含水率、温度、裂隙率等单因素对铀尾矿库氡呼出率的影响,并得到了相应的单因素数学模型。结合鲸鱼优化算法,构建了氡呼出率响应面模型,实现了对氡呼出率的精确预测。模拟地震台振动试验结果也证实了模型的科学性。该研究结果不仅可用于指导氡的预测和防治,还可用于指导铀尾矿库失稳预警。
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来源期刊
CiteScore
2.80
自引率
18.80%
发文量
504
审稿时长
2.2 months
期刊介绍: An international periodical publishing original papers, letters, review papers and short communications on nuclear chemistry. The subjects covered include: Nuclear chemistry, Radiochemistry, Radiation chemistry, Radiobiological chemistry, Environmental radiochemistry, Production and control of radioisotopes and labelled compounds, Nuclear power plant chemistry, Nuclear fuel chemistry, Radioanalytical chemistry, Radiation detection and measurement, Nuclear instrumentation and automation, etc.
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