Lyu, WS, Cai, SJ, Yang, P & Zhang, YL 2017, 'Underground environment parameter prediction in a deep mine', in J Wesseloo (ed.), Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining, Australian Centre for Geomechanics, Perth, pp. 949-960, https://doi.org/10.36487/ACG_rep/1704_65_Lyu
(https://papers.acg.uwa.edu.au/p/1704_65_Lyu/)
Abstract: To manage heat load problems in deep mining, a research program for measuring and predicting the underground environment parameters was carried out in Jiudian gold mine. The deposit is buried from 150 to -950 m underground. The development drifts reach the -710 m Level and the mine’s main production levels are at -510 and -550 m. The mine encountered several hot springs, though blocked, the springs still affect the underground environment. Some environment parameters were measured at three mining levels in summer and winter, including the temperature and moisture of air flow, and the temperature of the rock face and of the internal rock mass. Based on the energy conservation law and the mass conservation law, an environment parameter prediction model was built, and the corresponding computer program was developed using C++ language. Comparison of predicted and measured data proved the reliability of the environment parameter prediction model.

Keywords: deep mining, environment parameter, prediction model