Noise Control Mechanisms for Industry Operations—A Review Vaishnavi Tuli, Nihal Anwar Siddiqui, Abhishek Nandan and A. Gautam Abstract The development of technology has lead to widespread increase in machinery and also increase in the number of industries, with this also came the noise. Noise interferes with the ef ficiency of the work done by the employees whose work is highly skilled and involves decision making. The noise in the refinery, at some places, can exceed 90 dBA, which can affect the worker and also the envi- ronment. The risk involved in exposure to the noise for 8 working hours is very high. In this paper, we discuss the mechanisms which are used in the industries for reducing the amount of noise in a refinery; engineering applications and protective techniques which reduce the impact of noise; administrative techniques reducing the amount of exposure of noise to the worker. Keywords Noise exposure Á Noise control Á Noise reduction mechanisms Á Engineering control Á Administrative control 1 Introduction Nausea a Latin word from which the word noise has been derived which means unpleasant sound or unwanted sound (Coates 2005). Human activities are the main source of noise, mainly due to technology development, urbanization, and also mainly industrialization (Singh and Davar 2017). Seeing that the noise has become omnipresent, Indian Government has framed Noise Regulation and Control Rules—2000 under the Environment Protection Act—1986 (Mangalekar et al. 2012) (Bansal 2014). These rules and regulations specify the ambient levels of noise in different areas or zones, which are specified below (Table 1). V. Tuli Á N. A. Siddiqui Á A. Nandan (&) Á A. Gautam Department of Health Safety and Environment Engineering with Specialization in Disaster Management, University of Petroleum and Energy Studies, Dehradun, India e-mail: anandan@ddn.upes.ac.in © Springer Nature Singapore Pte Ltd. 2020 N. A. Siddiqui et al. (eds.), Advances in Air Pollution Profiling and Control, Springer Transactions in Civil and Environmental Engineering, https://doi.org/10.1007/978-981-15-0954-4_17 229