Spatiotemporal Variation of Coastal Water Quality in Kien Giang Province, Vietnam Using Multivariate Statistical Methods
DOI:
https://doi.org/10.37933/nipes.e/4.2.2022.15Abstract
The study was carried out to assess coastal water quality using
multivariate statistics. The coastal water samples were collected in
the dry season (March) and wet season (September) in 2020 at eight
districts, 26 positions (KG1-KG26). The parameters of temperature
(T), pH, salinity (Sal), total suspended solids (TSS), dissolved
oxygen (DO), chemical oxygen demand (COD), ammonium
nitrogen (N-NH4
+
), phosphate (P-PO4
3-
), Coliform, iron (Fe), and
silicon dioxide (SiO2) were used for coastal water quality
assessment using national technical regulation on marine water
quality (QCVN 10-MT:2015/BTNMT), cluster analysis (CA) and
principal component analysis (PCA). The results showed that
seawater was contaminated with organic (low DO and high TSS in
some locations), microbiological, nutrient (N-NH4
+
), and metal
(Fe). The sea water environmental indicators have seasonal
fluctuations in which DO, COD, N-NH4
+
, TSS in the dry season
tended to be higher than those in the rainy season. Coliform in dry
season and rainy season were similar. The average value of iron in
the rainy season was higher than that in the dry season. COD and
SiO2 were low and not regulated in QCVN 10-MT:2015/BTNMT.
In the dry season water quality was classified into six clusters while
in the rainy season it was classified into four clusters demonstrating
spatial and temporal variation of sea water quality. Seawater in the
dry season was affected by three main sources while in the rainy
season it was only affected by two main sources. The main
indicators affecting water quality in the study area including N-
NH4
+
, Coliform, P-PO4
3-
, TSS, Fe, COD, SiO2. Further studies need
to investigate specific sources that contribute to water quality
indicators in order to have a solution to better manage sea water
quality in the study area.