Noise vulnerability of stone mining and crushing in Dwarka river basin of Eastern India

Swades Pal () and Indrajit Mandal ()
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Swades Pal: University of Gour Banga
Indrajit Mandal: University of Gour Banga

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 9, No 47, 13667-13688

Abstract: Abstract The present paper has intended to explore the noise level and vulnerability to noise produced in the stone mining and crushing area and the surroundings in the heavily stressed stone mining and crushing area of Middle catchment of Dwarka river basin of Eastern India. Field-based noise recording has been done at different times in every recorded days. Fuzzy logic-based weighting and integration of eight parameters have been done in four selected cluster for noise susceptibility mapping. For exploring noise annoyance odd and risk ratio have been computed for different communities. From the recorded noise level in stone crushing clusters, it is found that the noise level is > 85 dBA from 6 a.m. to 4 p.m. when the stone crushers are running on and it is above the ambient noise threshold defined by Central Pollution Control Board in 2000. Maximum noise level is recorded as 112.41 dBA which may cause deafness. Noise intensity gradually decreases from crushing centre towards outside and it prevails up to 500–650 m away from the crushing unit. Noise vulnerable areas constructed based on eight noise level addressing and noise effect indicating parameters using fuzzy logic revealed that about 10.46–27.98% areas fall under very high to high noise vulnerable zones. Therefore, the labourers and the peoples who are living at close proximity of crusher units are highly prone to noise pollution along with stone dust pollution. The effect of noise is highly age and sex sensitive due to their differences in physical strength. These findings could effectively be used for saving the exposed communities from noise vulnerability.

Keywords: Stone mining and crushing; Noise level; Noise vulnerability; Fuzzy logic and noise annoyance (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-021-01233-2

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