Evaluating the meteorological normalized PM2.5 trend (2014–2019) in the “2+26” region of China using an ensemble learning technique | |
Linglu Qu; Shijie Liu; Linlin Ma; Zhongzhi Zhang; Jinhong Du; Yunhong Zhou; Fan Meng | |
2020 | |
Source Publication | Environmental Pollution
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Volume | 266Pages:115346 |
DOI | 10.1016/j.envpol.2020.115346 |
Indexed By | SCI |
Language | 英语 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.gyig.ac.cn/handle/42920512-1/11461 |
Collection | 环境地球化学国家重点实验室_环境地球化学国家重点实验室_期刊论文 |
Affiliation | 1.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China 2.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Science, Guiyang, 550081, China |
Recommended Citation GB/T 7714 | Linglu Qu,Shijie Liu,Linlin Ma,等. Evaluating the meteorological normalized PM2.5 trend (2014–2019) in the “2+26” region of China using an ensemble learning technique[J]. Environmental Pollution,2020,266:115346. |
APA | Linglu Qu.,Shijie Liu.,Linlin Ma.,Zhongzhi Zhang.,Jinhong Du.,...&Fan Meng.(2020).Evaluating the meteorological normalized PM2.5 trend (2014–2019) in the “2+26” region of China using an ensemble learning technique.Environmental Pollution,266,115346. |
MLA | Linglu Qu,et al."Evaluating the meteorological normalized PM2.5 trend (2014–2019) in the “2+26” region of China using an ensemble learning technique".Environmental Pollution 266(2020):115346. |
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Evaluating the meteo(2981KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download |
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