DOI: 10.1016/j.marpolbul.2014.06.007
Scopus记录号: 2-s2.0-84905718886
论文题名: Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India
作者: 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.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2014
卷: 85, 期: 1 起始页码: 261
结束页码: 267
语种: 英语
英文关键词: Aerial Bay
; Multivariate
; North Andaman
; Nutrients
; Physico-chemical
Scopus关键词: Chemical analysis
; Cluster analysis
; Geographic information systems
; Multivariant analysis
; Nutrients
; Silicates
; Multivariate
; Multivariate statistical approaches
; Multivariate statistics
; North Andaman
; Physico-chemicals
; Physicochemical characteristics
; Physicochemical parameters
; Spatio-temporal variation
; Loading
; ammonia
; dissolved oxygen
; nitrate
; nitrite
; nitrogen
; phosphate
; phosphorus
; silicate
; nitric acid derivative
; nitrite
; phosphate
; phosphorus
; sea water
; silicate
; cluster analysis
; factor analysis
; GIS
; land use
; mangrove
; multivariate analysis
; nutrient
; physicochemical property
; spatiotemporal analysis
; article
; bay
; biochemical oxygen demand
; cluster analysis
; India
; land use
; mangrove
; marine environment
; multivariate analysis
; pH measurement
; physical chemistry
; physical parameters
; salinity
; spatiotemporal analysis
; total suspended solid
; water analysis
; water temperature
; analysis of variance
; bay
; environmental monitoring
; factorial analysis
; multivariate analysis
; principal component analysis
; procedures
; sea
; season
; Andamans
; Andamans and Nicobars
; India
; Analysis of Variance
; Bays
; Cluster Analysis
; Environmental Monitoring
; Factor Analysis, Statistical
; India
; Multivariate Analysis
; Nitrates
; Nitrites
; Oceans and Seas
; Phosphates
; Phosphorus
; Principal Component Analysis
; Salinity
; Seasons
; Seawater
; Silicates
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: 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. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85383
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Andaman and Nicobar Centre for Ocean Science and Technology, Earth System Sciences Organization (ESSO) - National Inst. of Ocean Technology (NIOT), Ministry of Earth Sciences, Port Blair 744103, India; Department of Ocean Studies and Marine Biology, Pondicherry University, Port Blair 744103, India; Department of Environmental Management, School of Environmental Sciences, Bharathidasan University, India; Ocean Science and Technology for Islands, ESSO - NIOT, Ministry of Earth Sciences (Govt. of India), Chennai 600100, India; Department of Marine Sciences, Berhampur University, Berhampur 760007, Odisha, India
Recommended Citation:
Jha D.K.,Vinithkumar N.V.,Sahu B.K.,et al. Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India[J]. Marine Pollution Bulletin,2014-01-01,85(1)