IJESD 2011 Vol.2(5): 355-361
doi: 10.7763/IJESD.2011.V2.151

Noise Exposure Parameters of Auto Rickshaws Compare by Statistical Regression Technique

Tirtharaj Sen , Pijush Kanti Bhattacharjee , Debamalya Banerjee , Bijan Sarkar

Abstract

The objective of this work is to measure, evaluate and study the noise exposure from auto rickshaws in running condition in Kolkata city of India. Statistical Regression analysis is done among the different parameters like LAeq, L90, and calculated parameters like TNI and Lnp. TWA (Time Weighted Average) values are given as an output by the Noise Dosimeter. While Lnp (Equivalent Noise Pollution) and TNI (Traffic Noise Index) are computed using the standard formula, TNI (Traffic Noise Index) is maximum in summer (152.08 dBA)and Lnp (Equivalent Noise Pollution) is maximum in monsoon(130.78 dBA). TWA (Time Weighted Average) is 58.81 dBA. Itis found from correlation coefficient data, the winter data set (LAeq vs. L90) is the most linearly correlated (r2 = 0.490). TNI and Lnp for different runs in summer (r2 = 0.750) and winter (r2 = 0.451), data follow polynomial trend line of order two. This study suggests that noise exposure and noise induced hearing loss can interfere with the safety of driver daily life,since working in such places noise dose exceeded 89 dBA is more dangerous causing deafness due to extreme environmental pollution.

Keywords

  • TNI (Traffic Noise Index)
  • TWA (Time Weighted Average)
  • LAeq (Equivalent continuous A-weighted sound level)
  • Lnp (Equivalent Noise Pollution)
  • Noise Dose
151-D578

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Tirtharaj Sen, Pijush Kanti Bhattacharjee, Debamalya Banerjee, and Bijan Sarkar, "Noise Exposure Parameters of Auto Rickshaws Compare by Statistical Regression Technique," International Journal of Environmental Science and Development, vol. 2, no. 5, pp. 355-361, 2011. https://doi.org/10.7763/IJESD.2011.V2.151

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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