NDLI: Multivariate and geo-spatial approach for seawater quality of Chidiyatappu Bay, south Andaman Islands, India.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Jha, Dilip Kumar Vinithkumar, Nambali Valsalan Sahu, Biraja Kumar Dheenan, Palaiya Sukumaran Das, Apurba Kumar Begum, Mehmuna Devi, Marimuthu Prashanthi Kirubagaran, Ramalingam
Spatial Coverage	India
Description	Author Affiliation: Jha DK ( Ocean Science and Technology for Islands, ESSO-NIOT, Ministry of Earth Science, Government of India, Chennai 600100, India); Vinithkumar NV ( Andaman and Nicobar Centre for Ocean Science and Technology, Earth System Sciences Organisation (ESSO)-National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences, Government of India, Port Blair 744103, India.); Sahu BK ( Department of Marine Sciences, Berhampur University, Berhampur 760007, Odisha, India.); Dheenan PS ( Andaman and Nicobar Centre for Ocean Science and Technology, Earth System Sciences Organisation (ESSO)-National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences, Government of India, Port Blair 744103, India.); Das AK ( Andaman and Nicobar Centre for Ocean Science and Technology, Earth System Sciences Organisation (ESSO)-National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences, Government of India, Port Blair 744103, India.); Begum M ( Andaman and Nicobar Centre for Ocean Science and Technology, Earth System Sciences Organisation (ESSO)-National Institute of Ocean Technology (NIOT), Ministry of Earth Sciences, Government of India, Port Blair 744103, India.); Devi MP ( Department of Environmental Management, School of Environmental Sciences, Bharathidasan University, India.); Kirubagaran R ( Ocean Science and Technology for Islands, ESSO-NIOT, Ministry of Earth Science, Government of India, Chennai 600100, India.)
Abstract	Chidiyatappu Bay is one of the least disturbed marine environments of Andaman & Nicobar Islands, the union territory of India. Oceanic flushing from southeast and northwest direction is prevalent in this bay. Further, anthropogenic activity is minimal in the adjoining environment. Considering the pristine nature of this bay, seawater samples collected from 12 sampling stations covering three seasons were analyzed. Principal Component Analysis (PCA) revealed 69.9% of total variance and exhibited strong factor loading for nitrite, chlorophyll a and phaeophytin. In addition, analysis of variance (ANOVA-one way), regression analysis, box-whisker plots and Geographical Information System based hot spot analysis further simplified and supported multivariate results. The results obtained are important to establish reference conditions for comparative study with other similar ecosystems in the region.
File Format	HTM / HTML
ISSN	0025326X
Issue Number	1-2
Volume Number	96
e-ISSN	18793363
Journal	Marine Pollution Bulletin
Language	English
Publisher	Elsevier
Publisher Date	2015-07-15
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Biology Environmental Monitoring Methods Multivariate Analysis Seawater Chemistry Analysis Of Variance Bays Chlorophyll Analysis Ecosystem Humans India Islands Nitrites Oceans And Seas Principal Component Analysis Salinity Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Pollution Aquatic Science Oceanography

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