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Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China
Shanshan Qin(秦珊珊)1,2; Feng Liu3,4; Chen Wang4; Yiliao Song3,4; Jiansheng Qu(曲建升)5
2015
Source PublicationAtmospheric Environment
Issue120Pages:339-350
DOIhttp://dx.doi.org/10.1016/j.atmosenv.2015.09.006
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/7837
Collection中国科学院兰州文献情报中心_战略情报研究部
Affiliation1.York University
2.兰州大学资源环境学院
3.东北财经大学
4.兰州大学数学与统计学院
5.中国科学院兰州文献情报中心
First Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
Shanshan Qin,Feng Liu,Chen Wang,et al. Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China[J]. Atmospheric Environment,2015(120):339-350.
APA Shanshan Qin,Feng Liu,Chen Wang,Yiliao Song,&Jiansheng Qu.(2015).Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China.Atmospheric Environment(120),339-350.
MLA Shanshan Qin,et al."Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using association rules: A case study of the Jing-Jin-Ji region, China".Atmospheric Environment .120(2015):339-350.
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