Identification of mangrove water quality by multivariate statistical analysis methods in Pondicherry coast, India

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 .

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:Mangrove; Sediment; Water; Multivariate analysis; Physicochemical parameters; Pondicherry
Subjects:Marine Ecosystems > Mangroves
Divisions:CMFRI-Cochin > Marine Biotechnology
ID Code:8688
Deposited By:Arun Surendran
Deposited On:19 Aug 2011 14:49
Last Modified:19 Aug 2011 14:49

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