摘要
近年来,随着某市经济的快速发展和工业化、城镇化进程的加快,环境问题已成为社会民众关心的热点问题,这方面又以PM_(2.5)热度最高。文章结合2013年全年某市六个常规大气环境监测站的污染因子、气象因子数据,重点从统计角度研究分析某市PM_(2.5)浓度的数据分布、时空变化特点及其与大气污染浓度变化和气象因子的相关性,同时结合站点布局分析其与PM_(2.5)监测数据的联系,进一步提出优化常规大气环境监测点布局选址方案的模式。通过站点布局优化形成相互联系的监测网络,将为环境监测提供更为可靠的代表数据,为环境保护管理决策提供新的思路。
In recent years, with the rapid economy development of the city and the industrialization and urbanization process is packing up speed, environment problem has become a hot issue of social concern, especially the PM2.5 problem. The paper focused on the statistical analysis of PM2.5 from data distribution, space-time variation characteristics, and its correlation between air pollutants concentration and meteorological factors, which based on the pollution and meteorological factor data analysis of six standing conventional air quality monitoring stations in the city, and combined with the site layout analysis of PM2.5 monitoring data and its links to optimize conventional air quality monitoring sites. The results of optimized monitoring sites could form related monitoring network, this will provide more reliable and representative data for environment monitoring, to provide a new method for environmental protection management decisions.
出处
《大众科技》
2016年第12期26-30,47,共6页
Popular Science & Technology
关键词
PM2.5
时空分布
来源分析
环境
PM2.5
time and space distribution
source analysis
environment
