Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India

Dilip Kumar Jha; N. V. Vinithkumar; Biraja Kumar Sahu; Apurba Kumar Das; P. S. Dheenan; P. Venkateshwaran; Mehmuna Begum; T. Ganesh; M. Prashanthi Devi; R. Kirubagaran

doi:10.1016/j.marpolbul.2014.06.007

Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India

Dilip Kumar Jha^*
, N. V. Vinithkumar
, Biraja Kumar Sahu
, Apurba Kumar Das
, P. S. Dheenan
, P. Venkateshwaran
, Mehmuna Begum
, T. Ganesh
, M. Prashanthi Devi
, R. Kirubagaran

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

Aerial Bay is one of the harbor towns of Andaman and Nicobar Islands, the union territory of India. Nevertheless, it is least studied marine environment, particularly for physico-chemical assessment. Therefore, to evaluate the annual spatiotemporal variations of physico-chemical parameters, seawater samples collected from 20 sampling stations covering three seasons were analyzed. Multivariate statistics is applied to the investigated data in an attempt to understand the causes of variation in physico-chemical parameters. Cluster analysis distinguished mangrove and open sea stations from other areas by considering distinctive physico-chemical characteristics. Factor analysis revealed 79.5% of total variance in physico-chemical parameters. Strong loading included transparency, TSS, DO, BOD, salinity, nitrate, nitrite, inorganic phosphate, total phosphorus and silicate. In addition, box-whisker plots and Geographical Information System based land use data further facilitated and supported multivariate results.

Original language	English
Pages (from-to)	261-267
Number of pages	7
Journal	Marine Pollution Bulletin
Volume	85
Issue number	1
DOIs	https://doi.org/10.1016/j.marpolbul.2014.06.007
State	Published - 15 Aug 2014
Externally published	Yes

Keywords

Aerial Bay
Multivariate
North Andaman
Nutrients
Physico-chemical

ASJC Scopus subject areas

Oceanography
Aquatic Science
Pollution

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10.1016/j.marpolbul.2014.06.007

Cite this

Jha, D. K., Vinithkumar, N. V., Sahu, B. K., Das, A. K., Dheenan, P. S., Venkateshwaran, P., Begum, M., Ganesh, T., Prashanthi Devi, M., & Kirubagaran, R. (2014). Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India. Marine Pollution Bulletin, 85(1), 261-267. https://doi.org/10.1016/j.marpolbul.2014.06.007

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title = "Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India",

abstract = "Aerial Bay is one of the harbor towns of Andaman and Nicobar Islands, the union territory of India. Nevertheless, it is least studied marine environment, particularly for physico-chemical assessment. Therefore, to evaluate the annual spatiotemporal variations of physico-chemical parameters, seawater samples collected from 20 sampling stations covering three seasons were analyzed. Multivariate statistics is applied to the investigated data in an attempt to understand the causes of variation in physico-chemical parameters. Cluster analysis distinguished mangrove and open sea stations from other areas by considering distinctive physico-chemical characteristics. Factor analysis revealed 79.5\% of total variance in physico-chemical parameters. Strong loading included transparency, TSS, DO, BOD, salinity, nitrate, nitrite, inorganic phosphate, total phosphorus and silicate. In addition, box-whisker plots and Geographical Information System based land use data further facilitated and supported multivariate results.",

keywords = "Aerial Bay, Multivariate, North Andaman, Nutrients, Physico-chemical",

author = "Jha, \{Dilip Kumar\} and Vinithkumar, \{N. V.\} and Sahu, \{Biraja Kumar\} and Das, \{Apurba Kumar\} and Dheenan, \{P. S.\} and P. Venkateshwaran and Mehmuna Begum and T. Ganesh and \{Prashanthi Devi\}, M. and R. Kirubagaran",

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doi = "10.1016/j.marpolbul.2014.06.007",

language = "English",

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journal = "Marine Pollution Bulletin",

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Jha, DK, Vinithkumar, NV, Sahu, BK, Das, AK, Dheenan, PS, Venkateshwaran, P, Begum, M, Ganesh, T, Prashanthi Devi, M & Kirubagaran, R 2014, 'Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India', Marine Pollution Bulletin, vol. 85, no. 1, pp. 261-267. https://doi.org/10.1016/j.marpolbul.2014.06.007

TY - JOUR

T1 - Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India

AU - Jha, Dilip Kumar

AU - Vinithkumar, N. V.

AU - Sahu, Biraja Kumar

AU - Das, Apurba Kumar

AU - Dheenan, P. S.

AU - Venkateshwaran, P.

AU - Begum, Mehmuna

AU - Ganesh, T.

AU - Prashanthi Devi, M.

AU - Kirubagaran, R.

PY - 2014/8/15

Y1 - 2014/8/15

N2 - Aerial Bay is one of the harbor towns of Andaman and Nicobar Islands, the union territory of India. Nevertheless, it is least studied marine environment, particularly for physico-chemical assessment. Therefore, to evaluate the annual spatiotemporal variations of physico-chemical parameters, seawater samples collected from 20 sampling stations covering three seasons were analyzed. Multivariate statistics is applied to the investigated data in an attempt to understand the causes of variation in physico-chemical parameters. Cluster analysis distinguished mangrove and open sea stations from other areas by considering distinctive physico-chemical characteristics. Factor analysis revealed 79.5% of total variance in physico-chemical parameters. Strong loading included transparency, TSS, DO, BOD, salinity, nitrate, nitrite, inorganic phosphate, total phosphorus and silicate. In addition, box-whisker plots and Geographical Information System based land use data further facilitated and supported multivariate results.

AB - Aerial Bay is one of the harbor towns of Andaman and Nicobar Islands, the union territory of India. Nevertheless, it is least studied marine environment, particularly for physico-chemical assessment. Therefore, to evaluate the annual spatiotemporal variations of physico-chemical parameters, seawater samples collected from 20 sampling stations covering three seasons were analyzed. Multivariate statistics is applied to the investigated data in an attempt to understand the causes of variation in physico-chemical parameters. Cluster analysis distinguished mangrove and open sea stations from other areas by considering distinctive physico-chemical characteristics. Factor analysis revealed 79.5% of total variance in physico-chemical parameters. Strong loading included transparency, TSS, DO, BOD, salinity, nitrate, nitrite, inorganic phosphate, total phosphorus and silicate. In addition, box-whisker plots and Geographical Information System based land use data further facilitated and supported multivariate results.

KW - Aerial Bay

KW - Multivariate

KW - North Andaman

KW - Nutrients

KW - Physico-chemical

UR - https://www.scopus.com/pages/publications/84905718886

U2 - 10.1016/j.marpolbul.2014.06.007

DO - 10.1016/j.marpolbul.2014.06.007

M3 - Article

C2 - 24981105

AN - SCOPUS:84905718886

SN - 0025-326X

VL - 85

SP - 261

EP - 267

JO - Marine Pollution Bulletin

JF - Marine Pollution Bulletin

IS - 1

ER -

Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India

Abstract

Keywords

ASJC Scopus subject areas

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