A Regressive Simulation Model Analysis Of Acoustic Pollution In Mining Engineering

Acoustic pollution (noise) is a significant mine environmental system problem. The U.S. Bureau of Mines (USBM), Environmental Protection Agency (EPA), Department of Labor (DOL) and other researchers have all performed contributory research on noise in mining environments. The present study addressed the problem of unavailability of a computerized, practical, routine, user-friendly, and user-editable, prose-styled application program with which one can determine (a) the noise exposure indices among mine workers, (b) mine system noise exposure level on time-weighted average basis, and (c) predictive relationships among mine workers' age, prior exposure to abnormal noise levels, prior auditory pathologies and the risk/degree of mining-induced hearing impairment. Results showed that such a program ("NEIL") is accomplishable. Additional results revealed that most U.S. mines operate within the statutory noise exposure levels. Furthermore, the mine worker's age was statistically confirmed to be the main predictive risk factor for mining-induced occupational hearing impairment.