摘要
中国各城市细颗粒物(PM_(2.5))环境空气质量差异较大,呈现明显的区域污染特征。合理划分PM_(2.5)污染防治区域、开展区域性大气环境管理,是改善区域空气质量的重要途径。根据2015年全国108个重点城市大气PM_(2.5)的日均浓度数据,使用系统聚类方法对各城市的PM_(2.5)全年污染变化特征进行分析,从而划分出不同防治区域。依据聚类分析的3项原则,综合比较4种不同聚类方法及结果,最后提出可以划分出8个PM_(2.5)污染防治区域:a赣鄂湘接壤地区(长株潭及周边城市),b成渝及周边地区,c粤桂地区,d闽浙沿海城市群,e东三省地区,f长三角地区,g山东及周边地区,h京津冀、山西中北部、陕西关中城市群。
PM_（2.5） pollution level varies greatly among cities and bears variable regional characters in China. It is an important way to improve regional air quality that regionalizing for PM_（2.5） control and thereby conducting regional air pollution management.Based on the data of PM_（2.5） daily mean concentrations of 108 cities in 2015,this study regionalized the PM_（2.5） pollution by using Hierarchical Cluster Analysis. Four hierarchical cluster analysis methods were compared,as well as three principles were taken into account during the analysis process. Finally,eight PM_（2.5） control regions were put forward as the results. This study aims at providing methodology and practical reference for regionalization of PM_（2.5） management in China.
出处
《中国环境监测》
CAS
CSCD
北大核心
2017年第6期138-145,共8页
Environmental Monitoring in China
基金
2014年度国家环境保护公益性行业科研专项“固定污染源烟气细粒子监测技术方法与规范研究”之子课题“污染源排放细粒子的组成特征和排放总量研究”(201409014-04)
