Literature DB >> 16214213

Factor analysis of water quality characteristics including trace metal speciation in the coastal environmental system of Chennai Ennore.

M R Kuppusamy1, V V Giridhar.   

Abstract

Statistical analysis of water quality parameters including trace metal speciation was undertaken with a view to seeing the interrelationship between different variables and also to identify probable source components in order to explain the pollution status of Chennai Ennore coastal environmental system. Factor analysis has been used in the present work. This is essentially a data reduction technique and will suggest how many variates are important to explain the observed variances in the data. The possible variances in the water quality parameters may be due to either sources of anthropogenic origin or natural variances due to the season or due to different biogeochemical processes that are taking place in the system. When this analysis was carried out with our data on water quality parameters in the above coastal environmental system, we found that the prominent factor or the first factor called the eutrophication factor explained 24.51% of the total variance (comprised of variables like DO, pH, SS, ammonia-N, phosphate and silicate). The second factor called the copper contamination factor explained 10.61% (comprised of variables like labile Cu, total Cu and particulate Cu) and the third factor called metal removal factor explained 10.11% (comprised of variables like particulate Zn, particulate Pb and water temperature) of the variances, respectively. Although there are four more factors, they are all having variances less than 10%. From this study, it is seen that eutrophication is the main source component of pollution to the surface waters of this estuary and its adjacent coastal waters compared to dissolved trace metals.

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Year:  2005        PMID: 16214213     DOI: 10.1016/j.envint.2005.08.008

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  10 in total

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2.  Assessment of seasonal variations of surface water quality characteristics for Porsuk Stream.

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Journal:  Environ Monit Assess       Date:  2008-10-11       Impact factor: 2.513

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4.  Analysis of heavy metal concentrations in sediments of selected estuaries of Malaysia--a statistical assessment.

Authors:  Abbas F M Alkarkhi; Norli Ismail; Aness Ahmed; Azhar mat Easa
Journal:  Environ Monit Assess       Date:  2008-05-27       Impact factor: 2.513

5.  Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat Lake, Turkey.

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Journal:  Environ Monit Assess       Date:  2007-10-11       Impact factor: 2.513

6.  Characteristics and source identification of dissolved trace elements in the Jinshui River of the South Qinling Mts., China.

Authors:  Hongmei Bu; Weibo Wang; Xianfang Song; Quanfa Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-15       Impact factor: 4.223

7.  Assessment for water quality by artificial neural network in Daya Bay, South China Sea.

Authors:  Mei-Lin Wu; You-Shao Wang; Ji-Dong Gu
Journal:  Ecotoxicology       Date:  2015-04-07       Impact factor: 2.823

8.  Assessment of biochemical components and enzyme activities in the estuarine crab Scylla tranquebarica from naphthalene contaminated habitants.

Authors:  K Vijayavel; C Anbuselvam; M P Balasubramanian; V Deepak Samuel; S Gopalakrishnan
Journal:  Ecotoxicology       Date:  2006-07       Impact factor: 2.823

9.  Water quality assessment of river Beas, India, using multivariate and remote sensing techniques.

Authors:  Vinod Kumar; Anket Sharma; Amit Chawla; Renu Bhardwaj; Ashwani Kumar Thukral
Journal:  Environ Monit Assess       Date:  2016-02-02       Impact factor: 2.513

10.  Factor analysis and linear regression model (LRM) of metal speciation and physico-chemical characters of groundwater samples.

Authors:  M Kumaresan; P Riyazuddin
Journal:  Environ Monit Assess       Date:  2007-05-17       Impact factor: 2.513

  10 in total

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