Water quality assessment and source identification of the Shuangji River (China) using multivariate...
Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods
About this item
Full title
Author / Creator
Liu, Junzhao , Zhang, Dong , Tang, Qiuju , Xu, Hongbin , Huang, Shanheng , Shang, Dan and Liu, Ruxue
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
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Scope and Contents
Contents
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 Shuangji River Basin. The datasets, which contained 19 pa...
Alternative Titles
Full title
Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_plos_journals_2479993678
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2479993678
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0245525
