Source Apportionment of PM(2.5)in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon
Li, Tingting2,3,5; Li, Jun2,5; Jiang, Hongxing2,3,5; Chen, Duohong1; Zong, Zheng4; Tian, Chongguo4; Zhang, Gan2,5
刊名ATMOSPHERE
2020-05-01
卷号11期号:5页码:18
DOI10.3390/atmos11050512
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000541801900103
内容类型期刊论文
源URL[http://ir.gig.ac.cn/handle/344008/57731]  
专题有机地球化学国家重点实验室
通讯作者Li, Jun; Chen, Duohong
作者单位1.Guangdong Environm Monitoring Ctr, Guangzhou 510308, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
5.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Prov Key Lab Environm Protect & Resourc, Guangzhou 510640, Peoples R China
推荐引用方式
GB/T 7714
Li, Tingting,Li, Jun,Jiang, Hongxing,et al. Source Apportionment of PM(2.5)in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon[J]. ATMOSPHERE,2020,11(5):18.
APA Li, Tingting.,Li, Jun.,Jiang, Hongxing.,Chen, Duohong.,Zong, Zheng.,...&Zhang, Gan.(2020).Source Apportionment of PM(2.5)in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon.ATMOSPHERE,11(5),18.
MLA Li, Tingting,et al."Source Apportionment of PM(2.5)in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon".ATMOSPHERE 11.5(2020):18.
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