Journal of Environmental Science for Sustainable Society
Online ISSN : 1881-5073
ISSN-L : 1881-5073
USING MULTIVARIATE STATISTICAL TECHNIQUES TO ASSESS WATER QUALITY OF THE SAIGON RIVER, VIETNAM
Nguyen Vu Duc THINHLe Quoc TUANNgo Vy THAONguyen Nhat Huynh MAI
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2022 Volume 11 Issue Supplement Pages PP01_p1-PP01_p4

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Abstract

   Principal component analysis (PCA), cluster analysis (CA), and water quality index (WQI) were used in this study to analyze the Saigon River water-quality monitoring data collected monthly from April 2016 to May 2020. The calculated WQI indicated that the water quality of the Saigon River improved from 2016 to 2020, but it was still polluted by ammonium (N-NH4+), dissolved oxygen (DO), and coliforms, by which the water in the rainy season was more contaminated than that of the dry season. Three components of PCA showed 58.68% of the variance in the data set. The CA grouped the water quality into 3 clusters (upstream, midstream, and downstream) in both dry and rainy seasons.

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© © © 2022 Graduate School of Environmental and Life Science, Okayama University
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