摘要
轨道交通系统沿线绿地可以有效地降低高架轨道交通噪声。选取北京地铁13号线沿线15块绿地进行高架轨道交通噪声测试实验。采用相关性分析方法对绿地噪声净衰减值与6个影响因子进行分析,提出绿地植物配置建议和噪声衰减预测数学模型。实验结果表明:绿地植物群落噪声衰减效果明显,声源高度、绿地宽度、测试点与噪声源的水平距离、植物配置指数、郁闭度和契合度各影响因素与绿地噪声净衰减值的P值分别为0.632、0.538、0.126、0.048、0.024和0.143,植物配置指数和郁闭度呈显著相关性,在降噪绿地设计时应着重考虑绿地的这2个因子。
Green vegetation along the viaduct rail traffic system （VRTS） plays a vital role in the reduction of noise produced by VRTS. An observational trial to obtain practical data is a convinced method. The noise testing experiments were conducted in 15 patches of greenery along Beijing Subway Line 13. Based on the data analysis on correlation between excessive noise attenuation and six factors, suggestions on green plant configuration and the mathematical model to forecast the attenuation effect are worked out. The results showed that green plant community has obvious effect to reduce noise. The SPSS software analysis shows that P value of the correlation coefficient of the height of sound source, the width of greenbelt, the horizontal distance of test point and noise source, plant configuration index, canopy density and fitness are 0.632, 0.538, 0.126, 0.048, 0.024 and 0.143 respectively. Plant disposition index and canopy density showed a significant correlation. Thus, the design of noise reduction greenbelt should consider them.
出处
《中国园林》
北大核心
2012年第9期68-71,共4页
Chinese Landscape Architecture
基金
北京市自然科学基金(编号8093030)
北京市优秀人才培养基金(编号Q0301314200801)共同资助
关键词
风景园林
高架轨道交通
噪声预测
噪声衰减
landscape architecture
viaduct rail traffic
noise prediction
noise attenuation
