Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods

Multivariate statistical techniques, including cluster analysis (CA), discriminant analysis (DA), principal component analysis (PCA) and factor analysis (FA), were used to evaluate temporal and spatial variations in and to interpret large and complex water quality datasets collected from the Shuangj...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Junzhao, Zhang, Dong, Tang, Qiuju, Xu, Hongbin, Huang, Shanheng, Shang, Dan, Liu, Ruxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822302/
https://www.ncbi.nlm.nih.gov/pubmed/33481880
http://dx.doi.org/10.1371/journal.pone.0245525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822302/
https://www.ncbi.nlm.nih.gov/pubmed/33481880
http://dx.doi.org/10.1371/journal.pone.0245525

Ejemplares similares