高峰期交通流影响因子对城市噪声影响的程度

Degree of Traffic Flow Influence Factor on Noise in Peak Hour

为研究交通流影响因子对噪声的影响,在早晚高峰时段对东北林业大学边和兴路进行连续4个星期的数据调研,运用灰色关联度分析的方法得出了车流量、车速、大型车、中型车和小型车与噪声的关联度分别为0.947,0.868,0.73,0.894,0.942。车流量与噪声的同步变化程度最高,而大型车与噪声的同步变化程度最低,因为和兴路高峰时段大型车的辆数较少。中型车与小型车与噪声的关联度均大于车速,是因为高峰时段车辆停靠时间较长,所以车型对噪声的影响较大。由此,可以通过更换老旧汽车、减少大型车的进入等方法来降低城市噪声。运用Cadna/A通过改变车流量对居民楼附近的数据进行仿真,得到居民楼附近的噪声分布状况。当车流量从2 000辆/h增加到6 000辆/h时,噪声增加了6 d B,说明车流量对噪声影响较大。研究结果为城市降噪、创造良好的城市声环境提供理论依据。

The effect of impact factors of traffic flow on the noise was mainly studied. We had a data investigation of Hexing road on edge of northeast forestry university in the morning and evening rush hour for four weeks,and we concluded that the flow,speed,medium and large cars and small cars and the noise correlation were 0. 947,0. 868,0. 73,0. 894 and 0. 942 by using the method of grey correlation degree analysis,and the changes of traffic and noise have the highest relative relation while large cars and the change of the synchronization of the noise is the lowest. Because there is little large cars on Hexing road in peak time and the relevancy of midsize cars and small cars to the noise were greater than the speed of the car for they parked for a long time in rush hour and the models have bigger influence on the noise. Thus we can replace old cars and reduce the large cars to enter to reduce city noise. We used Cadna / A by changing the number of cars to simulated residential buildings nearby and got the noise distribution near the residential building,and when the number of cars increasedto 6000 / h from 2000 / h,the noise increased by 6 db,which shows that traffic flow influences noise.This study provides the reference for the city noise reduction and theories in creating a good city sound environment.