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

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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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Authors and Affiliations

  1. Department of Elementary Education, Faculty of Education, Eskişehir Osmangazi University, Meşelik, 26480, Eskişehir, Turkey

    Cansu Filik İşçen

  2. Department of Statistics, Faculty of Arts and Science, Eskişehir Osmangazi University, Meşelik, 26480, Eskişehir, Turkey

    Arzu Altın

  3. Department of Statistics, Faculty of Science, Ankara University, 06100, Tandoğan, Ankara, Turkey

    Birdal Şenoğlu

  4. Department of Electric and Electronic Engineering, Eskişehir Osmangazi University, Meşelik, 26480, Eskişehir, Turkey

    H. Serhan Yavuz

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  1. Cansu Filik İşçen
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  2. Arzu Altın
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  3. Birdal Şenoğlu
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  4. H. Serhan Yavuz
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Correspondence to Arzu Altın.

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İşçen, C.F., Altın, A., Şenoğlu, B. et al. Evaluation of surface water quality characteristics by using multivariate statistical techniques: A case study of the Euphrates river basin, Turkey. Environ Monit Assess 151, 259–264 (2009). https://doi.org/10.1007/s10661-008-0267-9

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  • DOI: https://doi.org/10.1007/s10661-008-0267-9

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