Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM(2.5) from a National Background Site in North China

To explore the utility of combining positive matrix factorization (PMF) with radiocarbon ((14)C) measurements for source apportionment, we applied PM(2.5) data collected for 14 months at a national background station in North China to PMF models. The solutions were compared to (14)C results of four...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoping, Zong, Zheng, Tian, Chongguo, Chen, Yingjun, Luo, Chunling, Li, Jun, Zhang, Gan, Luo, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587569/
https://www.ncbi.nlm.nih.gov/pubmed/28878221
http://dx.doi.org/10.1038/s41598-017-10762-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587569/
https://www.ncbi.nlm.nih.gov/pubmed/28878221
http://dx.doi.org/10.1038/s41598-017-10762-8

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