Literature DB >> 18491209

Evaluation of surface water quality characteristics by using multivariate statistical techniques: a case study of the Euphrates river basin, Turkey.

Cansu Filik Işçen1, Arzu Altin, Birdal Senoğlu, H Serhan Yavuz.   

Abstract

The surface water quality of the Euphrates river basin in Turkey are evaluated by using the multivariate statistical techniques known as factor analysis (FA) and multidimensional scaling (MDS) analysis. When FA was applied to the water quality data obtained from the 15 different surface water quality monitoring stations, two factors were identified, which were responsible from the 86.02% of the total variance of the water quality in the Euphrates river basin. The first factor called the urban land use factor explained 44.20% of the total variance and the second factor called the agricultural use factor explained 41.81% of the total variance. MDS technique showed that electrical conductivity (EC), percent sodium (Na%) and total salt are the most important variables causing difference in the water quality analysis.

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Year:  2008        PMID: 18491209     DOI: 10.1007/s10661-008-0267-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Surface water quality assessment by environmetric methods.

Authors:  Hülya Boyacioglu; Hayal Boyacioglu
Journal:  Environ Monit Assess       Date:  2006-11-15       Impact factor: 2.513

  1 in total
  3 in total

1.  On the use of multivariate statistical methods for combining in-stream monitoring data and spatial analysis to characterize water quality conditions in the White River basin, Indiana, USA.

Authors:  Andrew Gamble; Meghna Babbar-Sebens
Journal:  Environ Monit Assess       Date:  2011-04-01       Impact factor: 2.513

2.  Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network monitoring in the Velhas river basin, Brazil.

Authors:  Giovanna Moura Calazans; Carolina Cristiane Pinto; Elizângela Pinheiro da Costa; Anna Flávia Perini; Sílvia Corrêa Oliveira
Journal:  Environ Monit Assess       Date:  2018-11-15       Impact factor: 2.513

3.  The use of multivariate statistical methods for optimization of the surface water quality network monitoring in the Paraopeba river basin, Brazil.

Authors:  Giovanna Moura Calazans; Carolina Cristiane Pinto; Elizângela Pinheiro da Costa; Anna Flávia Perini; Sílvia Corrêa Oliveira
Journal:  Environ Monit Assess       Date:  2018-07-28       Impact factor: 2.513

  3 in total

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