Centre for Strategic Urban Management (C-SUM), CSIR-NEERI, Nehru Marg, Nagpur, Maharashtra, 440020, India.
Academy of Scientific and Innovative Research (AcSIR), CSIR HRDC Campus, Ghaziabad, Uttar Pradesh, 201002, India.
Environ Sci Pollut Res Int. 2020 Oct;27(30):38311-38320. doi: 10.1007/s11356-020-09923-6. Epub 2020 Jul 4.
Noise is considered as an underrated and underemphasized pollutant in contrast to other pollutants of the environment. Due to the non-acute response of health effects, people are not vigilant towards consequences regarding noise pollution. The expansion of the transportation industry is contributing towards the increment in the public and private vehicular volume which causes an increment in noise pollution. For evaluation of respective scenario, the research study has been conducted on one of the minor roads of Nagpur, India; for 2 years, viz., 2012 and 2019. The study concludes an increment of 5-6 dB(A) in noise level, 4-6 times in honking, and 1.7 times in traffic volume. The study confirms increment in sound pressure by 65.9% and 81.9% for the year 2012 and 2019 during morning and evening sessions, respectively. Noise prediction model has also been developed for the abovementioned years, using multiple regression analysis, considering traffic volume, honking, and speed against noise equivalent level. Honking has been further characterized into honk by light and medium category vehicles as acoustical properties of horns vary with respect to category of vehicle and introduced into the noise prediction model. Noise prediction model for 2019 has predicted the noise level in a range of - 1.7 to + 1.4 dB (Leq) with 84% of observations in the range of - 1 to + 1 dB (Leq), when compared with observed Leq on the field. For proper management of noise pollution, a noise prediction model is essentially needed so that the noise level can be anticipated, and accordingly, measures can be outlined and executed. This increased noise level has serious impacts on human hearing capacity and overall health. Accordingly, noise mitigation preventive measures are recommended to control traffic noise in the urban environment.
与其他环境污染物相比，噪声被认为是一种被低估和被轻视的污染物。由于健康影响的非急性反应，人们对噪声污染的后果并不警惕。交通行业的扩张导致了公共和私人车辆数量的增加，从而导致了噪声污染的增加。为了评估各自的情况，研究人员对印度那格浦尔的一条次要道路进行了为期两年的研究，分别是 2012 年和 2019 年。研究得出结论，噪声水平增加了 5-6dB(A)，鸣笛次数增加了 4-6 倍，交通量增加了 1.7 倍。研究证实，2012 年和 2019 年早晚时段的声压分别增加了 65.9%和 81.9%。还使用多元回归分析为上述年份开发了噪声预测模型，考虑了交通量、鸣笛和速度对噪声等效级的影响。鸣笛进一步分为轻型和中型车辆的鸣笛，因为喇叭的声学特性随车辆类别而变化，并将其引入噪声预测模型。2019 年的噪声预测模型预测了噪声水平在-1.7 到+1.4dB(Leq)之间，其中 84%的观测值在-1 到+1dB(Leq)范围内，与现场观测到的 Leq 相比。为了对噪声污染进行适当的管理，需要一个噪声预测模型，以便可以预测噪声水平，并相应地制定和执行措施。这种噪声水平的增加对人类听力能力和整体健康有严重影响。因此，建议采取噪声缓解预防措施来控制城市环境中的交通噪声。
