噪声与振动控制

›› 2011, Vol. 31 ›› Issue (2): 142-146.DOI: 10.3969/j.issn.1006-1355-2011.02.034

• 9.振动噪声测试技术 • 上一篇    下一篇

区域噪声监测点位的噪声岛地形布点法应用初探

赵利民1,李雅丹2，3，王铮4,王双维2   

  1. （ 1. 长春市环境监测中心站， 长春 130022 ; 2. 东北师范大学 物理学院， 长春 130024；3. 北华大学 物理学院， 吉林 132013； 4. 吉林省环境监测中心站, 长春 130021 ）
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-04-18 发布日期:2011-04-18
  • 通讯作者: 赵利民

Preliminary Study on “Noise Island” Topographic Distribution Method Applied in Urban Region Noise Monitoring Points Optimization

<FONT face=Verdana><a href="https://nvc.sjtu.edu.cn/EN/article/advancedSearchResult.do?searchSQL=(((ZHAO Li-min[Author]) AND 1[Journal]) AND year[Order])" target="_blank">ZHAO Li-min</a> 1, <a href="https://nvc.sjtu.edu.cn/EN/article/advancedSearchResult.do?searchSQL=(((LI Ya-dan[Author]) AND 1[Journal]) AND year[Order])" target="_blank">LI Ya-dan</a> 2, 3,WANG Zheng 4,WANG Shuang-wei 2</FONT>   

  1. （ 1. Changchun Environmental Monitoring Center， Changchun 130022， China;2. College of Physics , Northeast Normal University， Changchun 130024， China;3. College of Physics, Beihua University， Jilin 132013， China;4. Jilin Province Environmental Monitoring Center， Changchun 130011， China ）
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-04-18 Published:2011-04-18

摘要： 环境噪声污染日趋严重的影响人们的正常生活。应用科学的优化噪声监测点位的方法，可对区域环境噪声污染进行正确评价，对政府的决策及规划管理具有重要意义。目前,多数城市的区域环境噪声监测点位优化方法,都具有一定局限性。以吉林省长春市某区域为例，采用集成神经网络为主要技术手段，首次应用“噪声岛”地形法对区域环境噪声监测点位进行优化选取，并在此基础上对最佳噪声监测点位选取与优化规则进行初步探究。

关键词: 声学, 区域噪声, 监测点位优化, 神经网络集成, 噪声岛

Abstract: Environmental noise pollution is influencing our daily life seriously. The regional noise pollution can be evaluated by using noise monitoring point optimization method. It has an important significance for planning and management of the environment. At present, there are some limitations for application of the environmental noise monitoring point optimization methods to urban regions in China. In this paper, the urban “Noise Island” concept is proposed. The environmental noise monitoring point optimization of an area in Changchun is carried out as an example applying the “Noise Island” topographic distribution method, with integrated neural network as the main technical means. The noise monitoring point is selected by using the “terrain” of the “Noise Island” for the first time. On this basis，the point selection and optimization rules of the best noise monitoring point distribution are found.

Key words: acoustics, region noise, noise monitoring point optimization, neural network ensemble, noise island

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