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

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.