Archives of Acoustics, 42, 3, pp. 423–432, 2017

Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping

Satish Krishna LOKHANDE
CSIR-National Environmental Engineering Research Institute (NEERI)

Satyajeet A. DHAWALE
CSIR-National Environmental Engineering Research Institute (NEERI)

CSIR-National Environmental Engineering Research Institute (NEERI)

CSIR-National Environmental Engineering Research Institute (NEERI)

Mohindra C. JAIN
CSIR-National Environmental Engineering Research Institute (NEERI)

Ghanshyam L. BODHE
CSIR-National Environmental Engineering Research Institute (NEERI)

Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort 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 and commercial zone. The LAeq, T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation 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 exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time $L_{Aeq, T}$ level of both zones ranged between 43.2–62.2 dB(A) and 30.5–53.4 dB(A), respectively, whereas, the average $L_{dn}$ values vary between 32.7 and 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 schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives $R^2$ of 0.605 for $L_d$, 0.217 for $L_n$, and 0.524 for $L_dn$. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0–5.3 dB(A).
Keywords: noise mapping; noise prediction; predictor LimA; mining, GIS
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Banerjee D., Chakraborty S.K., Bhattacharyya S., Gangopadhyay A. (2009), Appraisal and mapping the spatial-temporal distribution of urban road traffic noise, International Journal of Environmental Science and Technology, 6, 2, 325–335.

Barron R.F. (2002), Industrial noise control and acoustics, CRC Press.

Bauer E.R., Kohler J.L. (2000), Cross-sectional survey of noise exposure in the mining industry, Proceedings of the 31st Annual Institute of Mining Health, Safety and Research, pp. 17–31, Blacksburg, Virginia, USA.

Central Pollution Control Board (2010), Pollution Control Acts, Rules and Notifications Issued Thereunder, from

Doygun H., Gurun D.K. (2007), Analyzing and mapping spatial and temporal dynamics of urban traffic noise pollution: A case study in Kahramanmaras, Turkey, Environmental Monitoring and Assessment, 142, 1–3, 65–72.

Environmental Protection Agency (EPA 1974), Information on Levels of Environmental Noise Requisite to Protect Public Health and Welfare with an Adequate Margin of Safety, 550/9- 74-004, from

Garg N., Saxena T.K., Maji S. (2015)., Long-term versus short-term noise monitoring: Strategies and implications in India, Noise Control Engineering Journal, 63, 1, 26–35.

Kalaiselvi R., Ramachandraiah A. (2010), Environmental noise mapping study for heterogeneous traffic conditions, Proceedings of 20th International Congress on Acoustics, ICA, pp. 23-27, Sydney, Australia.

Kerketta S., Gartia G., Bagh S. (2013), Noise Levels of Heavy Earth Moving Machineries in a Chromite Mining Complex of Odisha, India: An Assessment and Analysis, Indian Journal of Applied Research, 3, 6, 5–13.

Kim H.C., Jeong J.H., Jang S.I., Kim H.M. (2008), An analysis of effect on road traffic noise reduction substitute through traffic management improved, The Journal of the Acoustical Society of Korea, 27, 8, 403–410.

Murthy A.A., Rao G.Y. (2006), "VASUNDHARA" – Status paper on mining leases in Orissa, from

Odisha Economic Survey 2014-15 (OES, 2014-15), from

Optimus Green Sound Level Meters Specifications (CR, 2016), from

Prascevic M.R., Mihajlov D.I., Cvetkovic D.S. (2014), Measurement and evaluation of the environmental noise levels in the urban areas of the city of Nis (Serbia), Environmental monitoring and assessment, 186, 2, 1157–1165.

Predictor-LimA Software Portfolio (LimA, 2016), from

Vijay R., Sharma A., Chakrabarti T., Gupta R. (2015), Assessment of honking impact on traffic noise in urban traffic environment of Nagpur, India, Journal of Environmental Health Science and Engineering, 13, 1, 1–9.

Whitaker J.C., Benson B. (2001), Standard Handbook of Audio and Radio Engineering, 2nd ed., McGraw-Hill Education, New York.

DOI: 10.1515/aoa-2017-0044