AUTHOR=Naik Subrat , Mishra Rajani Kanta , Sahu K. C. , Lotliker Aneesh A. , Panda U. S. , Mishra Pravakar 

TITLE=Monsoonal Influence and Variability of Water Quality, Phytoplankton Biomass in the Tropical Coastal Waters – A Multivariate Statistical Approach

JOURNAL=Frontiers in Marine Science

VOLUME=7

YEAR=2020

URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2020.00648

DOI=10.3389/fmars.2020.00648

ISSN=2296-7745

ABSTRACT=<p>Rushikulya Estuary is rich in biodiversity facing significant changes in recent periods due to pollution/anthropogenic impacts from the industries and growing urbanization along the banks of the river. This estuary caters mass nesting of Olive Ridley sea turtles and one of the world’s largest rookery in India. In view of the above, the present study examined the seasonal variability of water quality parameters [water temperature, pH, salinity, dissolved oxygen (DO), total suspended matter (TSM), inorganic nutrients (NO<sub>2</sub>-N, NO<sub>3</sub>-N, NH<sub>4</sub>-N, PO<sub>4</sub>-P, and SiO<sub>4</sub>-Si), and the phytopigment, i.e., Chlorophyll-<italic>a</italic> (chl-<italic>a</italic>)] from the seawater samples of three different seasons pre-monsoon, monsoon, and post-monsoon. Time series observations were made at five locations off Rushikulya Estuary, Bay of Bengal, from March 2011 to February 2013. A wide range of nutrient concentrations except for NO<sub>2</sub>-N, varied from 0.89–3.62 μmol/l in the NO<sub>3</sub>-N, from 1.36–6.81 μmol/l in the NH<sub>4</sub>-N, from 0.66–3.45 μmol/l in the PO<sub>4</sub>-P and from 0.89–7.97 μmol/l in the SiO<sub>4</sub>-Si. The highest chl-<italic>a</italic> (3.72 mg/m<sup>3</sup>) was recorded during pre-monsoon than monsoon and post-monsoon. Factor analysis (FA) showed that three underlying factors, each during pre-monsoon, monsoon, and post-monsoon, influenced the water quality to the extent of 75.02, 67.33, and 66.37%, respectively. The significant result from a statistical view of non-metric multidimensional scaling (nm-MDS) and cluster analysis (CA) revealed that the chl-<italic>a</italic> variability was due to the direct influence of nutrients than the physical parameters. Correlation analysis revealed that chl-<italic>a</italic> has positive correlation with DO, NO<sub>2</sub>, NO<sub>3</sub>, PO<sub>4</sub>, and SiO<sub>4</sub>, while negative with salinity in pre-monsoon and monsoon. The composite results indicated that the study area is well oxygenated and rich in nutrients, and chl-<italic>a</italic> distribution represents typical upper ocean dynamics and food chain linked to the pristine coastal and ecologically rich ecosystem.</p>