Air pollution forecasting with multivariate interval decomposition ensemble approach
文献类型：期刊论文
| 作者 | Dong, Yawei1; Zhang, Chengyuan2; Niu, Mingfei1; Wang, Shouyang3; Sun, Shaolong4 |
| 刊名 | ATMOSPHERIC POLLUTION RESEARCH
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 12期号:12页码:14 |
| 关键词 | Daily PM 10 concentration forecast Air quality Interval forecasting Noise-assisted multivariate empirical mode decomposition Maximum mutual information |
| ISSN号 | 1309-1042 |
| DOI | 10.1016/j.apr.2021.101230 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000741377200005 |
| 出版者 | TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/59874]  |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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