Lokhande, Satish and Dhawale, Satyajeet and Pathak, Samir and Gautam, Rakesh and Jain , Mohindra and Bodhe, Ghanshyam (2017) Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping. Archives of Acoustics, 42 (3). pp. 423-432. ISSN 0137-5075 (P) 2300-262X (O)

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Noise mapping is a well-established practice among the European nations, and it has been following for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has made mandatory in the mining expanses. This study is an effort made to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq,T) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads and industrial & commercial zone. The LAeq,T was measured at 39 identified locations, includes industrial, commercial, residential and sensitive zones, 15 open cast mines, 3 major highways and 3 haulage roads. With the utilization of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualization and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone are exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq,T level of both the zone, ranged between 43.2 - 62.2 dB (A) and 30.5 – 53.4 dB (A) respectively whereas, the average Ldn values vary between 32.7 – 51.2 dB (A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like school and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld; 0.217 for Ln; and 0.524 for Ldn. Finally, the mitigation measure proposed and demonstrated using contour map showing a significant reduction in the noise levels by 0 – 5.3 dB (A).

Item Type: Article
Uncontrolled Keywords: Noise Mapping; Noise Prediction; Predictor LimA; Mining; GIS
Subjects: Noise Pollution
Date Deposited: 15 Sep 2017 05:11
Last Modified: 15 Sep 2017 05:11
URI: http://neeri.csircentral.net/id/eprint/968

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