Pathak Vinita, Tripathi Brahma D, Mishra Virendra Kumar
Department of Botany, Banaras Hindu University, Varanasi, 221005, India.
Environ Monit Assess. 2008 Nov;146(1-3):67-75. doi: 10.1007/s10661-007-0060-1. Epub 2007 Dec 18.
Noise level monitoring and its reduction with different width and height of vegetation belt were studied in the Varanasi city. Noise level monitoring of the Varanasi city revealed the fact that area category A (without vegetation) was highly polluted as compare to area category B (with vegetation) having less fluctuation of traffic load. Four plant species Putranjeva roxburghi, Cestrum nocturnum, Hibiscus rosasinensis and Murraya peniculata were tested for noise reduction study at different frequencies. Experiment revealed the fact that H. rosasinensis reduced noise highest at both low and high frequencies (100-500 Hz, 22 dB and 2.5-6.3 KHz 26 dB), followed by M. peniculata (100-500 Hz, 18 dB and 2.5-6.3 KHz 20 dB), P. roxburghi (100-500 Hz 15 dB and 2.5-6.3 KHz 17 dB) and C. nocturnum (100-500 Hz 9 dB and 2.5-6.3 KHz 14 dB). Significance of vegetation belt in noise reduction was established with multiple regression models.
在瓦拉纳西市,研究了不同宽度和高度的植被带对噪声水平的监测及其降噪效果。对瓦拉纳西市的噪声水平监测表明,与交通负荷波动较小的B类区域(有植被)相比,A类区域(无植被)污染严重。对四种植物——光叶扁担杆、夜香树、朱槿和九里香——在不同频率下的降噪效果进行了测试。实验表明,朱槿在低频和高频(100 - 500赫兹,降噪22分贝;2.5 - 6.3千赫兹,降噪26分贝)时降噪效果最佳,其次是九里香(100 - 500赫兹,降噪18分贝;2.5 - 6.3千赫兹,降噪20分贝)、光叶扁担杆(100 - 500赫兹,降噪15分贝;2.5 - 6.3千赫兹,降噪17分贝)和夜香树(100 - 500赫兹,降噪9分贝;2.5 - 6.3千赫兹,降噪14分贝)。通过多元回归模型确定了植被带在降噪方面的重要性。