Application of Multivariate Statistical Analysis in the Development of a Surrogate Water Quality Index (WQI) for South African Watersheds

Application of Multivariate Statistical Analysis in the Development of a Surrogate Water Quality Index (WQI) for South African Watersheds

Water quality indices (WQIs) are customarily associated with heavy data input demand, making them more rigorous and bulky. Such burdensome attributes are too taxing, time-consuming, and command a significant amount of resources to implement, which discourages their application and directly influence...

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Bibliographic Details
Main Authors: Talent Diotrefe Banda, Muthukrishnavellaisamy Kumarasamy
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
water quality index (WQI)
surrogate model
proxy model
principal component analysis (PCA)
hierarchical cluster analysis (HCA)
multivariate statistical analysis
Online Access:https://www.mdpi.com/2073-4441/12/6/1584

Internet

https://www.mdpi.com/2073-4441/12/6/1584

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