中国人口·资源与环境2017，Vol.27Issue(3)：74-81,8.DOI:10.3969/j.issn.1002-2104.2017.03.009
雾霾污染的城市间动态关联及其成因研究
Dynamic correlation and causes of urban haze pollution
摘要
Abstract
Facing severe challenge of regional haze pollution and its boundary expansion,it is imperative to form interregional pollution governance force through the innovation of joint prevention and control system.Based on 96 cities' daily data of air quality index (AQI) and six sub-pollutants such as PM2.5,PM10,SO2,CO,NO2,O3 of Beijing-Tianjin-Hehei region,the Yangtze River Delta,Pearl River Delta,Chengdu-Chongqing region and the middle reaches of Yangtze River,the article identified dynamic interaction effects among urban pollution with the VAR framework from the perspective of forecast capability of time series and revealed the network structure characteristic of spatial correlation of haze pollution by the method of Social Network Analysis (SNA).Meanwhile,the article used quadratic assignment program to reveal the key incentives of spatial correlation of haze pollution within sub-pollutants,and exploited bivariate Moran index to describe spatial correlation between haze pollution and its influential factors.The main results were as follows:AQI and six sub-pollutants among cities all had multithreading and dynamic correlation which presentsed complex network characteristic with close linkage and strong stability.Meanwhile the spatial correlation network of urban haze pollution had a significant small-world characteristic.There is no isolated urban node both within the region and in the entire sample cities,faced with haze pollution spatial correlation network,which means that no city could be immune to haze pollution,and would be all influenced by other cities that are built the spatial correlation network from inside and outside the region.In the six sub-pollutants the spatial correlation of PM2.5 was the main cause of urban spatial correlation of haze pollution.Urban haze pollution and its influence factors,especially the urban population density,investment intensity,industrial pollution emissions,had a significant spatial correlation.Based on the above conclusion,China should accelerate to build a cross-regional air pollution joint prevention and control system with emphasis on the prevention and control of PM2.5.And the collaborative system should be integrated into the urban agglomeration development strategy and regional development strategy to realize a full range of regional collaborative development.关键词
雾霾污染/动态关联/社会网络分析/协同治理Key words
haze pollution/dynamic correlation/network analysis/collaborative governance分类
管理科学引用本文复制引用
刘华军,孙亚男,陈明华..雾霾污染的城市间动态关联及其成因研究[J].中国人口·资源与环境,2017,27(3):74-81,8.基金项目
国家社会科学基金项目"资源环境约束下农业用水效率评价及提升路径研究"(批准号:15CGL041) （批准号:15CGL041）
山东省高校人文社科研究项目"山东省城市绿色发展效率及其协同提升路径研究"(批准号:J16YE02) （批准号:J16YE02）
山东省自然科学基金项目"山东省雾霾污染的城市间动态关联效应及协同治理机制研究:基于社会网络分析视角"(批准号:ZR2016GM03). （批准号:ZR2016GM03）
