Multivariate statistical approaches to identify the major factors governing groundwater quality

Multivariate statistical approaches to identify the major factors governing groundwater quality

Abstract Multivariate statistical techniques, discriminant analysis, cluster and principal component analysis were applied to the dataset on groundwater quality of Longyan basin of Fujian Province (South China), to extract principal factors controlling the source variations in the hydrochemistry and...

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Bibliographic Details
Main Authors: Tao Chen, Huafei Zhang, Chengxun Sun, Hongyan Li, Yang Gao
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:Applied Water Science
Subjects:
Multivariate statistics
Factor analysis
Cluster analysis
Groundwater quality
Online Access:http://link.springer.com/article/10.1007/s13201-018-0837-0

Internet

http://link.springer.com/article/10.1007/s13201-018-0837-0

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