Satheeshkumar, P and Khan, Anisa B (2011) Identification of mangrove water quality by multivariate statistical analysis methods in Pondicherry coast, India. Environmental Monitoring and Assessment , Published Online on 28 April 2011 .
Different multivariate statistical analysis such as, cluster analysis, principal component analysis, and multidimensional scale plot were employed to evaluate the trophic status of water quality for four monitoring stations. The present study was carried out to determine the physicochemical parameters of water and sediment characteristics of Pondicherry mangroves— southeast coast of India, during September 2008– December 2010. Seasonal variations of different parameters investigated were as follows: salinity (10.26–35.20 psu), dissolved oxygen (3.71–5.33 mg/L), pH (7.05– 8.36), electrical conductivity (26.41–41.33 ms−1), sulfide (1.98–40.43 mg/L), sediment texture sand (39.54– 87.31%), silt (9.89–32.97%), clay (3.06–31.20%), and organic matter (0.94–4.64%). pH, temperature, salinity, sand, silt, clay, and organic matter indicated a correlation at P<0.01.
|Uncontrolled Keywords:||Mangrove; Sediment; Water; Multivariate analysis; Physicochemical parameters; Pondicherry|
|Subjects:||Marine Ecosystems > Mangroves|
|Divisions:||CMFRI-Cochin > Marine Biotechnology|
|Deposited By:||Arun Surendran|
|Deposited On:||19 Aug 2011 14:49|
|Last Modified:||19 Aug 2011 14:49|
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