Assessment of Spatiotemporal Variations in the Water Quality of the Han River Basin, South Korea, Using Multivariate Statistical and APCS-MLR Modeling Techniques

Assessment of Spatiotemporal Variations in the Water Quality of the Han River Basin, South Korea, Using Multivariate Statistical and APCS-MLR Modeling Techniques

This study evaluated the spatiotemporal variability of water quality in the Han River Basin (HRB) as well as the contributions of potential pollution sources using multivariate statistical and absolute principal component score-multiple linear regression (APCS-MLR) modeling techniques. From 2011 to...

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Bibliographic Details
Main Authors: Yong-Chul Cho, Hyeonmi Choi, Soon-Ju Yu, Sang-Hun Kim, Jong-Kwon Im
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Agronomy
Subjects:
statistical analysis
cluster analysis
principal component analysis
potential pollution source
APCS-MLR modeling
Online Access:https://www.mdpi.com/2073-4395/11/12/2469

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