摘要
把复杂网络方法应用于空气污染指数PM_(2.5)的研究。对中国区域的PM_(2.5)数据通过相关分析建立了相关性复杂网络。通过对网络的特质性质如节点度、社区结构、模体等性质的分析表明,能够有效分析出主要污染城市,空气污染城市具有群聚现象,需要一起进行治理,这与现实中的现象相符。由于污染空气的流动性性质,分析空气污染城市的群聚性对于空气污染的治理有一定的参考意义。
The complex network was used to investigate PM 2.5 of the air pollution.The relevant data of PM 2.5 were analyzed with correlation and the complex network in regions in china was established.Through the study of the degree,community structure and motif,the results showed that the main polluted cities in China could be effectively analyzed by this method,and the air polluted cities having cluster phenomena needed to be treated as a whole,which was consistent with real conditions.Because of the fluidity of the air,this research provides guidance for analyzing the agglomeration of polluted cities.
作者
肖琴
陆钰婷
XIAO Qin;LU Yuting(School of Sciences,Shanghai Institute of Technology,Shanghai 201418,China)
出处
《应用技术学报》
2019年第1期77-83,共7页
Journal of Technology
基金
上海市自然科学基金项目(16ZR1447200)
上海应用技术大学2018届毕业设计论文重点项目(3911LW180040)资助
关键词
复杂网络
度
社区结构
模体
complex network
degree
community structure
motif
