SEM-EDS investigation on PM10 data collected in Central Italy: Principal Component Analysis and Hierarchical Cluster Analysis

BACKGROUND: Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were applied on PM10 particle data in order to: identify particle clusters that can be differentiated on the bases of their chemical composition and morphology, investigate the relationship among the chemical and...

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Detalles Bibliográficos
Autores principales: Genga, Alessandra, Baglivi, Federico, Siciliano, Maria, Siciliano, Tiziana, Tepore, Marco, Micocci, Gioacchino, Tortorella, Carmela, Aiello, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395122/
https://www.ncbi.nlm.nih.gov/pubmed/22594438
http://dx.doi.org/10.1186/1752-153X-6-S2-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395122/
https://www.ncbi.nlm.nih.gov/pubmed/22594438
http://dx.doi.org/10.1186/1752-153X-6-S2-S3

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