This study aims to assess the sampling sites and frequencies of sampling of the existing
surface water quality monitoring on Hau River using multivariate analysis techniques.
Principal Component Analysis (PCA) and Cluster Analysis (CA) were used to analyze the
water quality monitoring data collected every month in 2018 from 8 sampling stations. Surface
water quality parameters including pH, temperature, dissolved oxygen (DO), total suspended
solids (TSS), nitrate (N-NO3
-
), phosphate (P-PO4
3-), chemical oxygen demand (COD) and
coliforms were used in the PCA and CA analyses. The findings indicated that the Hau River
water quality was polluted by TSS, COD and coliforms in which COD was high in dry season,
TSS was high in wet season and coliforms were high all year round. The PCA revealed that
pH, temperature, DO, TSS, N-NO3
-
, P-PO4
3-, COD and coliforms influenced on the water
quality, therefore, relevant for examination in the water samples.Etc...
Keywords
Cluster analysis; Hau River; Organic pollution, Principal component analysis; Water quality