基于系统聚类方法划分中国PM2.5防治区域

摘要

中国各城市细颗粒物(PM2.5)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PM2.5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PM2.5的日均浓度数据,使用系统聚类方法对各城市的PM2.5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PM2.5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,(c)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.%PM2.5 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 PM2.5 control and thereby conducting regional air pollution management.Based on the data of PM2.5 daily mean concentrations of 108 cities in 2015,this study regionalized the PM2.5 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 PM2.5 control regions were put forward as the results.This study aims at providing methodology and practical reference for regionalization of PM2.5 management in China.