Goswami Shreerup, Swain Bijay Kumar, Panda Santosh Kumar
Department of Geology, Ravenshaw University, Cuttack-753 003, India.
Department of Environmental Science, Utkal University, Bhubaneswar-751 004, India.
J Environ Biol. 2013 Sep;34(5):891-5.
The problem of road traffic noise pollution has become a concern for both the public and the policy makers. Noise level was assessed in 12 different squares of Rourkela city during different specified times (7-10 a.m., 11 a.m.-2 p.m., 3-6 p.m., 7-10 p.m., 10 p.m.-12 midnight and 4-6 a.m.). Noise descriptors such as L,eq, traffic noise index, noise pollution level, noise climate, Lday, Levening, Lnight and Lden were assessed to reveal the extent of noise pollution due to heavy traffic in this city. The equivalent noise levels of all the 12 squares were found to be much beyond the permissible limit (70dB during day time and 55dB during night time). Appallingly, even the minimum L eq and NPL values were more than 82 dB and 96 dB during day time and 69 dB and 91 dB during night time respectively. Lden values of investigated squares ranged from 83.4 to 86.1 dB and were even more than the day time permissible limit of traffic noise. The prediction model was used in the present study to predict noise pollution level instead of Leq. Comparison of predicted with that of the actual measured data demonstrated that the model used for the prediction has the ability to calibrate the multicomponent traffic noise and yield reliable results close to that by direct measurement. Lastly, it is inferred that the dimension of the traffic generated noise pollution in Rourkela is critical.
道路交通噪声污染问题已成为公众和政策制定者共同关注的问题。在不同的特定时间段(上午7点至10点、上午11点至下午2点、下午3点至6点、晚上7点至10点、晚上10点至午夜12点以及凌晨4点至6点)对鲁尔克拉市的12个不同广场的噪声水平进行了评估。评估了诸如L、eq、交通噪声指数、噪声污染水平、噪声气候、Lday、Levening、Lnight和Lden等噪声描述符,以揭示该市繁忙交通造成的噪声污染程度。发现所有12个广场的等效噪声水平都远远超出了允许限值(白天为70分贝,夜间为55分贝)。令人震惊的是,即使是最低的L eq和NPL值在白天分别也超过了82分贝和96分贝,在夜间分别超过了69分贝和91分贝。被调查广场的Lden值在83.4至86.1分贝之间,甚至超过了交通噪声的白天允许限值。本研究使用预测模型来预测噪声污染水平而非Leq。预测值与实际测量数据的比较表明,用于预测的模型有能力校准多组分交通噪声并产生与直接测量结果相近的可靠结果。最后,可以推断出鲁尔克拉市交通产生的噪声污染规模至关重要。