摘要
探究天津市城区大气污染状况,采集2016年4月至9月7个环境空气质量监测站实时发布的包括PM_(2.5),PM_(10),SO_2,NO_2,CO,O_3等指标数据,结合城区主干道路分布的地理位置,利用聚类分析、相关性分析等多元统计分析方法研究大气污染影响因素。分析表明,天津市城区大气的主要污染物为PM_(2.5)和PM_(10),二者对空气质量指数AQI影响显著。天津市城区大气污染状况每日变化呈早高晚低的趋势。
Investigating the air pollution condition in Tianjin and real-time collecting the PMz5 PMf0, SOs, NO2, CO and 03 data that was published by seven air quality monitoring stations from April 2016 to September 2016. The cluster analysis and the correlation analysis are applied to investigate the air pollution influencing factor with the urban trunk road location. The results show that the main air pollutants in Tianjin are PM2.5 and PM10, which have a notably effect on the AQI index. In addition, the degree of contamination shows a download trend in the whole day.
出处
《环境保护与循环经济》
2017年第4期54-58,共5页
environmental protection and circular economy
基金
国家社会科学基金面上项目(16BTQ007)
天津市创新创业训练计划项目"区域大气污染物扩散的影响因素分析及防治对策--基于天津地区的多元统计分析研究"(201610060036)
关键词
大气污染
聚类分析
相关性分析
天津市城区
air pollution
cluster analysis
correlation analysis
Tianjin urban