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Acoustic pollution is a significant mine environmental system problem. It can be defined as a sound without agreeable quality or as unwanted sound. The problem of noise is likely to increase in coming years as mines become larger and more mechanised employing bigger and more powerful machines in greater number. Hindrance in vocal communication in an environment of high noise may cause accidents. Masking of warning signals as in case of roof falls may lead to serious consequences. Also a person becomes irritable and quarrelsome and loses concentration. This results in decreased efficiency and incidents of errors increase. The most serious effects of exposure to high noise levels are deafness, which is initially temporary but with prolonged exposure to high levels, gradually becomes permanent. Hence, the noise of the levels higher than the standards laid down by the Ministry of Environment and Forest must be abated not only to achieve greater percentage of production, but also to restore physical health of workers at work place. This paper focuses on the adverse effects of noise on workers in mining industry.
(Impact of noise on miners - A critical review) Vardhan, H.; Karmakar, N.C.; Rao, Y.V.
2003
[No abstract available]
(Methodology for evaluation of noise levels emanated from mining machinery) Vardhan, H.; Karmakar, N.C.; Rao, Y.V.
2004
Applications of expert systems in mining industry: A review
(CAFET INNOVA Technical Society cafetinnova@gmail.com 1-2-18/103, Mohini Mansion, Gagan Mahal Road, Domalguda, Hyderabad 500029, 2014) Ram Chandar, K.R.; Agarwal, H.
An Expert System is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning about knowledge, like an expert, and not by following the procedure of a developer as is the case in conventional programming. The first expert systems were created in the 1970s and then proliferated in the 1980s. In this paper, an effort has been made to sum up some of the useful expert systems and their working principles for effective use in mining operations. © 2014 CAFET-INNOVA TECHNICAL SOCIETY.
The Impact of Temperature Change on the Firm Performance: Empirical Evidence from the Indian Mining Sector
(World Researchers Associations, 2025) Akshaya; Gopalakrishna, B.V.
Irrespective of sector, fluctuations in temperature exert a noteworthy impact on the operational dynamics of businesses. The panel data used encompassed 62 publicly listed Indian companies operating in the mining sector over the period from 2011 to 2020 to verify the above in the mining sector. The primary objective is to empirically scrutinize the repercussions of temperature changes on the overall performance of the mining industry in India. Firm-specific variables are kept as control measures in this investigation and a panel quantile regression approach is employed for the analysis. The study reveals that an escalation in the annual average temperature contributes to a decline in the profitability of mining firms. Notably, the observed negative correlation is not consistently uniform across different quantiles. Furthermore, the research establishes that working capital management does not exert a discernible influence on the profitability of mining companies. It is important to note that this empirical analysis is limited to Indian companies exclusively. © 2025, World Researchers Associations. All rights reserved.

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