天津市道路交通噪声监测优化布点研究

Optimization Study of Road Traffic Noise Monitoring Spot in Tianjin

在天津市历年道路交通噪声实测基础上,研究应用模糊聚类分析方法k均值分类法对所有监测点位进行分类,根据聚类对象(样本)与所属类聚类中心的贴近程度,选取了最优测点,经统计检验,该研究方法科学、可行。

Based on the road traffic noise raw data of Tianiin in the past years, this study assorts all monitoring sites by applying K-Means cluster analysis method of fuzzy-clustering analysis method. According to the close-degree of clustering sample and corresponding class＇ s clustering center, this study selects the optimization monitoring spots. Assessed by statistics test, this study method proves to be scientific and feasible.