KMS Of Academy of mathematics and systems sciences, CAS
| Air pollution forecasting with multivariate interval decomposition ensemble approach | |
| Dong, Yawei1; Zhang, Chengyuan2; Niu, Mingfei1; Wang, Shouyang3; Sun, Shaolong4 | |
| 2021-12-01 | |
| Source Publication | ATMOSPHERIC POLLUTION RESEARCH
 |
| ISSN | 1309-1042 |
| Volume | 12Issue:12Pages:14 |
| Abstract | 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. |
| Keyword | 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 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[SK2021007] |
| WOS Research Area | Environmental Sciences & Ecology |
| WOS Subject | Environmental Sciences |
| WOS ID | WOS:000741377200005 |
| Publisher | TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59875 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Sun, Shaolong |
| Affiliation | 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 |
| Recommended Citation 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. |
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