Pollution zone identification research during ozone pollution processes

doi:10.1007/s10661-020-08552-3

	Pollution zone identification research during ozone pollution processes
	Li, Dongyue 1,2; Liao, Yilan 1,3
刊名	ENVIRONMENTAL MONITORING AND ASSESSMENT
	2020-08-20
卷号	192 期号:9 页码:18
关键词	Pollution zone Pollution process Spatio-temporal clustering Image fusion Frequency pattern
ISSN号	0167-6369
DOI	10.1007/s10661-020-08552-3
通讯作者	Liao, Yilan(liaoyl@lreis.ac.cn)
英文摘要	Identifying an ozone pollution zone during the pollution processes is significant for ozone pollution management and environmental health risk assessment. However, few studies have focused on ozone pollution zone identification during pollution processes. A spatial-temporal clustering framework for identifying pollution zones during ozone pollution processes was initially proposed in this study, and an ozone pollution process in China in May 2017 was selected as a case. The results showed that the framework can help selecting one more accurate method to identify the pollution zone according to the pollution characteristics of air pollution process. In addition, different ozone pollution zone identification methods work well in different scenarios: The self-organizing map (SOM) method was suitable for identifying the zone with the duration of pollution between 24 and 48 h, the image fusion based on wavelet transform (IFbWT) method for the zone with the duration of pollution over 48 h and the Apriori method for the zone with obvious boundaries between high-value and low-value ozone concentrations. The proposed procedure can also be applied to identify the pollution zone of the pollution process of other pollutants.
资助项目	National Key R&D Program of China[2016YFC1302504] ; National Natural Science Foundation of China[41471377] ; National Natural Science Foundation of China[41531179] ; National Natural Science Foundation of China[41421001] ; Ministry of Science and Technology[2014FY121100]
WOS关键词	GROUND-LEVEL OZONE ; PEDIATRIC ASTHMA EXACERBATION ; AIR-POLLUTION ; IMAGE FUSION ; WAVELET TRANSFORM ; ASSOCIATION RULES ; HEALTH IMPACTS ; AMBIENT OZONE ; HEAVY-METALS ; URBAN AREA
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000565514500003
资助机构	National Key R&D Program of China ; National Natural Science Foundation of China ; Ministry of Science and Technology
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157906]
专题	中国科学院地理科学与资源研究所
通讯作者	Liao, Yilan
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Li, Dongyue,Liao, Yilan. Pollution zone identification research during ozone pollution processes[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2020,192(9):18.
APA	Li, Dongyue,&Liao, Yilan.(2020).Pollution zone identification research during ozone pollution processes.ENVIRONMENTAL MONITORING AND ASSESSMENT,192(9),18.
MLA	Li, Dongyue,et al."Pollution zone identification research during ozone pollution processes".ENVIRONMENTAL MONITORING AND ASSESSMENT 192.9(2020):18.