Realizing modeling and mapping tools to study the upsurge of noise pollution as a result of open-cast mining and transportation activities

• Main Authors: Satish K Lokhande, Mohindra C Jain, Satyajeet A Dhawale, Rakesh Gautam, Ghanshyam L Bodhe
• Format: Article
• Language: English
• Published: Wolters Kluwer Medknow Publications 2018-01-01
• Series: Noise and Health
• Subjects: Federal highway administration; ISO 9613-2; noise mapping; noise pollution; noise prediction; open-cast mines; predictor lima
• Online Access: http://www.noiseandhealth.org/article.asp?issn=1463-1741;year=2018;volume=20;issue=93;spage=60;epage=67;aulast=Lokhande

Introduction: In open-cast mines, noise pollution has become a serious concern due to the extreme use of heavy earth moving machinery (HEMM). Materials and Methods: This study is focused to measure and assess the effects of the existing noise levels of major operational mines in the Keonjhar, Sundergadh, and Mayurbhanj districts of Odisha, India. The transportation noise levels were also considered in this study, which was predicted using the modified Federal Highway Administration (FHWA) model. Result and Discussion: It was observed that noise induced by HEMM such as rock breakers, jackhammers, dumpers, and excavators, blasting noise in the mining terrain, as well as associated transportation noise became a major source of annoyance to the habitants living in proximity to the mines. The noise produced by mechanized mining operations was observed between 74.3 and 115.2 dB(A), and its impact on residential areas was observed between 49.4 and 58.9 dB(A). In addition, the noise contour maps of sound level dispersion were demonstrated with the utilization of advanced noise prediction software tools for better understanding. Conclusion: Finally, the predicted values at residential zone and traffic noise are correlated with observed values, and the coefficient of determination, R2, was calculated to be 0.6891 and 0.5967, respectively.