气候变化领域集成服务门户(CCPortal): 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

CCPortal

DOI	10.1016/j.atmosenv.2015.09.006
	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
	Qin, Shanshan; Liu, Feng; Wang, Chen; Song, Yiliao; Qu, Jiansheng
发表日期	2015
ISSN	1352-2310
EISSN	1873-2844
起始页码	339
结束页码	350
卷号	120
英文摘要	The Jing-Jin-Ji region of Northern China has experienced serious extreme PM concentrations, which could exert considerable negative impacts on human health. However, only small studies have focused on extreme PM concentrations. Therefore, joint regional PM research and air pollution control has become an urgent issue in this region. To characterize PM pollution, PM10 and PM2.5 hourly samples were collected from 13 cities in Jing-Jin-Ji region for one year. This study initially analyzed extreme PM data using the Apriori algorithm to mine quantitative association rules in PM spatial and temporal variations and intercity influences. The results indicate that 1) the association rules of intercity PM are distinctive, and do not completely rely on their spatial distributions; 2) extreme PM concentrations frequently occur in southern cities, presenting stronger spatial and temporal associations than in northern cities; 3) the strength of the spatial and temporal associations of intercity PM2.5 are more substantial than those of intercity PM10. (C) 2015 Elsevier Ltd. All rights reserved.
关键词	SOURCE APPORTIONMENT
英文关键词	Extreme particulate matter; Spatial-temporal; Analysis and projection; Association rules
语种	英语
WOS研究方向	Environmental Sciences ; Meteorology & Atmospheric Sciences
来源期刊	ATMOSPHERIC ENVIRONMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/134228
作者单位	Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China.
推荐引用方式 GB/T 7714	Qin, Shanshan,Liu, Feng,Wang, Chen,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]. 中国科学院西北生态环境资源研究院,2015,120.
APA	Qin, Shanshan,Liu, Feng,Wang, Chen,Song, Yiliao,&Qu, Jiansheng.(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.
MLA	Qin, Shanshan,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).