Predictive analysis of shaft station radon concentrations in underground uranium mine: A case study

被引:4
|
作者
Zhao, Guoyan [1 ]
Hong, Changshou [1 ]
Li, Xiangyang [2 ]
Lin, Chunping [1 ]
Hu, Penghua [3 ]
机构
[1] Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China
[2] Univ South China, Sch Environm Protect & Safety Engn, Hengyang 421001, Peoples R China
[3] China Natl Nucl Corp, Beijing Res Inst Chem Engn & Met, Beijing 101149, Peoples R China
基金
中国国家自然科学基金;
关键词
Underground uranium mine; Shaft station; Radon contamination; Queuing theory; Predictive model; MONTE-CARLO; AIR EXCHANGE; RN-222; SYSTEMS; PROGENY;
D O I
10.1016/j.jenvrad.2016.04.007
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presented a method for predicting shaft station radon concentrations in a uranium mine of China through theoretical analysis, mathematical derivation and Monte-Carlo simulation. Based upon the queuing model for tramcars, the average waiting time of tramcars and average number of waiting tramcars were determined, which were further used in developing the predictive model for calculating shaft station radon concentrations. The results exhibit that the extent of variation of shaft station radon concentration in the case study mine is not significantly affected by the queuing process of tramcars, and is always within the allowable limit of 200 Bq m(-3). Thus, the empirical limit of 100,000 T annual ore hoisting yields has no value in ensuring radiation safety for this mine. Moreover, the developed model has been validated and proved useful in assessing shaft station radon levels for any uranium mine with similar situations. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:129 / 137
页数:9
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