摘要
在分析手工监测区域环境噪声污染状况的基础上,比对了手工监测和自动监测技术,对区域噪声监测点位进行优化。以南京市为分析对象,区域噪声监测点位按网格数权重和聚类类型并结合空间分布,监测点位由210个点聚成5类,经计算优化减少为35个点,为环境噪声自动监测的实施创造了条件。
Based on an analysis to the manual monitoring data of the regional environmental norse pollution, a comparative study was made between the results of manual monitoring and automatic monitoring. Regional noise monitoring sites were optimized by K-mean clustering analysis. Ac- cording to the grid number weight and spatial distribution, the 210 regional noise monitoring sites were clustered into 5 types. By the optimization into 35 monitoring sites, conditions were provid-ed for the automatic monitoring of environmental noise in Nanjing urban areas.
出处
《淮海工学院学报（自然科学版）》
CAS
2013年第3期60-62,共3页
Journal of Huaihai Institute of Technology:Natural Sciences Edition
关键词
环境噪声
噪声监测
快速聚类法
点位优化
南京
environmental noise
noise monitoring
K-mean clustering analysis
site optimiza-tion
Nanjing
