An improved mathematical model for prediction of air quantity to minimise radiation levels in underground uranium mines

被引:9
作者
Panigrahi, Durga Charan [1 ]
Sahu, Patitapaban [1 ]
Mishra, Devi Prasad [1 ]
机构
[1] Indian Sch Mines, Dept Min Engn, Dhanbad 826004, Bihar, India
关键词
Mathematical model; Underground uranium mine; Air quantity; Rn-222; sources; Radon daughters; Inhalation exposure; RADON EMANATION; LUNG-CANCER; RN-222; TAILINGS; RATES; ORE;
D O I
10.1016/j.jenvrad.2014.11.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ventilation is the primary means of controlling radon and its daughter concentrations in an underground uranium mine environment. Therefore, prediction of air quantity is the vital component for planning and designing of ventilation systems to minimise the radiation exposure of miners in underground uranium mines. This paper comprehensively describes the derivation and verification of an improved mathematical model for prediction of air quantity, based on the growth of radon daughters in terms of potential alpha energy concentration (PAEC), to reduce the radiation levels in uranium mines. The model also explains the prediction of air quantity depending upon the quality of intake air to the stopes. This model can be used to evaluate the contribution of different sources to radon concentration in mine atmosphere based on the measurements of radon emanation and exhalation. Moreover, a mathematical relationship has been established for quick prediction of air quantity to achieve the desired radon daughter concentration in the mines. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:95 / 104
页数:10
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