Air pollution forecasting with multivariate interval decomposition ensemble approach

doi:10.1016/j.apr.2021.101230

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	Air pollution forecasting with multivariate interval decomposition ensemble approach
	Dong, Yawei 1; Zhang, Chengyuan 2; Niu, Mingfei 1; Wang, Shouyang 3; Sun, Shaolong 4
	2021-12-01
发表期刊	ATMOSPHERIC POLLUTION RESEARCH
ISSN	1309-1042
卷号	12 期号:12 页码:14
摘要	As the air pollution particulate matter (PM10) is affected by a variety of factors, especially meteorological factors, resulting in a high degree of complexity and volatility of PM10. However, the existing research does not well deal with the multi-factor PM10 forecasting and is limited to the deterministic point forecast of PM10 concentration and does not consider the interval forecast related to uncertainty. To solve these issues, a novel multivariate interval decomposition ensemble approach is proposed for PM10 concentration forecasting, integrating multifactor selection, data decomposition, intelligent forecasting network and evaluation system. The stability and robustness of this approach have been tested in three cities with different economic characteristics in China, and the results show that our proposed approach is superior other benchmark models in point forecasting and 80% interval forecasting. Our proposed approach is a promising PM10 concentration forecasting approach, which can enable the government to accurately forecast PM10 concentration and make more effective measures to control and manage the adverse effects of air pollution on the current economy and health.
关键词	Daily PM 10 concentration forecast Air quality Interval forecasting Noise-assisted multivariate empirical mode decomposition Maximum mutual information
DOI	10.1016/j.apr.2021.101230
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[SK2021007]
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000741377200005
出版者	TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59875
专题	中国科学院数学与系统科学研究院
通讯作者	Sun, Shaolong
作者单位	1.Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China 2.Xidian Univ, Sch Econ & Management, Xian 710126, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
推荐引用方式 GB/T 7714	Dong, Yawei,Zhang, Chengyuan,Niu, Mingfei,et al. Air pollution forecasting with multivariate interval decomposition ensemble approach[J]. ATMOSPHERIC POLLUTION RESEARCH,2021,12(12):14.
APA	Dong, Yawei,Zhang, Chengyuan,Niu, Mingfei,Wang, Shouyang,&Sun, Shaolong.(2021).Air pollution forecasting with multivariate interval decomposition ensemble approach.ATMOSPHERIC POLLUTION RESEARCH,12(12),14.
MLA	Dong, Yawei,et al."Air pollution forecasting with multivariate interval decomposition ensemble approach".ATMOSPHERIC POLLUTION RESEARCH 12.12(2021):14.