ICV 2016
CC BY-NC 3.0 Polska


Yang Cao 1  ,  
Hongguang JI 1,  
University of Science and Technology Beijing
Mining Science 2017;24:99–115
This paper presents interpretation of results of a series of monitoring tests on O2, CO2, dust, noxious gases, microclimate, noise and illumination, conducted in seven mining faces of a metal mine, with vertical depths of -30 m, -70 m, -110 m, -150 m, -190 m, -230 m and -300 m. Through research on a vertical trend of a particular factor, several findings can be concluded as follows: concentration of CO2 rises up, while O2 decreases with deeper mining depth; concentrations of noxious gases increase with the deeper mining depth; dust amount exceeds seriously the limit, and grows linearly with the mining depth; dry-bulb temperature, effective temperature and relative humidity demonstrate a linear increase with the mining depth; sound pressure level in mining faces seriously exceed the limit value, and may cause a great harm to miners; illumination values in most mining faces are lower, comparing to the standard. Comprehensive evaluation of environmental quality of faces is carried out by introducing a model of grey clustering combined with G1-method, to determine the weight values and classify quality of the working environment. Results reveal that the environmental quality grade (EQG) of mining faces decrease with the increasing depth. In particular, EQG is excellent when above -150 m exploitation level, at which it becomes mediocre, and changes to bad when below -150 m.
Yang Cao   
University of Science and Technology Beijing, No. 30, Xueyuan Road, Haidian District, Beijing, China, 100083 Beijing, China
1. Cao Yang, Ji Hong-guang, You Shuang, Li Song, 2015 41(06). Research on mechanism of blasting fume poisoning and prevention technology[J]. Industrial Safety and Environmental Protection, 73-75.
2. Cao Yang, Ji Hong-guang, You Shuang, Zhou Qiming, 2016 484(10). Research on casual-effect model of blasting accident and its application[J]. Metal Mine,: 161-164.
3. Zheng Jianjun, Wang Weizhong, Ren Zhong-han, 2013(6). Research on source and composition of the toxic and harmful gas and its influence factor in a certain gold deposit[J]. Metal Mining, 148-150.
4. Zhang Ge, Li Lixia, Ji Hongguang 2014, 23(2). In situ investigation of gaseous pollution in the ramp of an underground gold mine[J]. Indoor and Built Environment, 293–298.
5. SATAR Mahdevari, Kourosh Shahriar, Akbar Esfahanipour, 2014, 488(1). Human health and safety risks management in underground coal mines using fuzzy topsis[J]. Science of the Total Environment, 85-99.
6. Wang Shuyun, Fang Jing, Kuang Ya, 2014, 24( 7). Improved grey relational evaluation model for working environment in uranium mines and its application[J]. China Safety Science Journal, 63-69.
7. Yang Deyuan, Yang Tianhong. 2009Thermal environment in mine and its control, Beijing[M], China Metallurgical Industry Press.
8. Shao Hui, Zhao Qingxian, Ge Xiukun, 2011. Safety psychology and behavior management. Beijing: Chemistry Industry Press.
9. Wu Jiuhui, 2011 Noise Analysis and Control. Xi’an: Xi'an Jiaotong University Press,.
10. Peng Zhiyuan. 2006. Practical handbook of safety technology for underground lighting and power supply in mine. Jilin: Jilin Electronic Press,.
11. Jiao Lianming, 2016, 21(2). Evaluation of mine environment quality based on gray cluster analysis[J]. Coal Mining Technology, 78-82.
12. Gu Ping, Shi Changxue, Chen Dong-xiao, 2014, 32(5). The method of integrated assessment of mine environmental impact based on fuzzy mathematics[J]. China Resources Comprehensive Utilization, 58-60.
13. Sun Yujie, Wang Wenqing, 2016, 19(2). Comprehensive evaluation of mine environmental safety factors based on rough set[J]. Journal of Xi’an University(Natural Science Edition), 13-18.
14. Tang Zhipeng, Yang Peng, Lv Wensheng, 2010, 32(3). Grey clustering evaluation of plateau underground working environment based on index pretreatment[J]. Journal of University of Science and Technology Beijing, 282-286.
15. Wang Shu, Jin Longzhe, Ou Shengnan, 2015, 37(5). Prediction model of human comfort index in under-ground emergency refuge facilities[J]. Chinese Journal of Engineering, 551-555.
16. Na Hanchu, Li Xibing, Ma Chunde, 2015, 15(4). Application of the modified AHP-fuzzy method to the assessment of the mining personal comfort degree[J]. Journal of Safety and Environment, 12-16.
17. Wang Xiran, Li Xibing, Dong Long-jun, 2012, 22(2). Occupational hazard of high temperature and high humidity in mines and determination of critical prevention points[J]. China Saety Science Journal, 157-163.
18. Li Xiaolu, Hu Nailian, Li Chun-lei, 2007, 27(5). Application of grey cluster analysis in evaluation of metal mines' underground working environment[J]. Ming Research & Development, 84-86.
19. Liu Si-feng, Xie Naiming, 2007. Grey system theory and its application. Beijing: Science Press,.
20. N.L. Nemerow, 1974. Scientific Stream Pollution Analysis. McGraw-Hill, New York.
21. Guo Yajun, 2007. Theory and application of comprehensive evaluation method, Beijing: Science Press.
Copy url
Sign up for email alerts