Study on the release pattern of radon exhalation in the overburden soil of uranium tailings under arid climate and prediction based on Fully Connected Neural Network (FCNN)-based deep learning radon prediction model
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Predicting radon exhalation rate under high-temperature and sun-exposure conditions has always been a challenging issue for uranium tailings management units, involving the coupled effects of three important factors: temperature, humidity, and fractures rate. ... ...
